Journal of Applied Geospatial Information 2024-01-02T02:57:16+00:00 Muhammad Zainuddin Zainuddin Lubis, S.Ik., M.Si [email protected] Open Journal Systems <p>Journal of Applied Geospatial Information (JAGI) is a national&nbsp;and international peer review journal published by Politeknik Negeri Batam.&nbsp;The JAGI&nbsp;is issued 2&nbsp;times a year in electronic form, publishes Original Research Articles (full papers and short communications) and Review (full and mini-reviews) in all aspects of result research in the field of science/engineering: terrestrial and marine (geomatics, geophysics, geography, geology, geographic information systems, remote sensing, cartography, oceanography, hydrography, marine science and technology).&nbsp;We encourage all interested contributors to submit their work for consideration.&nbsp;<a href=";1488529534&amp;1&amp;&amp;">e-ISSN (Online):&nbsp;2579-3608 </a>; <a href=";container-title=Journal+of+Applied+Geospatial+Information">DOI:&nbsp;10.30871/jagi</a></p> Estimation of Attenuation Coefficient Values Using Remote Sensing and Its Relationship With Shallow Water Depth 2023-07-09T00:24:58+00:00 Anggi Tiarasani [email protected] Vincentius Paulus Siregar [email protected] Jonson Lumban Gaol [email protected] <p>In ocean remote sensing, the intensity of light entering the water column decreases exponentially with increasing depth due to scattering and particle absorption in the water column. This process of decreasing light intensity is called attenuation. Attenuation is a limiting factor in detecting objects in the water column and seafloor using remote sensing, which relies on light intensity. The attenuation coefficient (Kd) is an important optical property of seawater as it provides information about water clarity and the level of light attenuation. This study aims to analyze the estimation of the attenuation coefficient values and their variability using in-situ measurements and Sentinel-2 level 2A data in Karang Lebar, Pulau Panggang, and Pulau Air, in the Seribu Islands Regency, North Jakarta. We tested several algorithms to estimate the attenuation coefficient values. The research results show that the in-situ Kd and the estimated model values have a good correlation (r = 0.75-0.86). The distribution of attenuation coefficient values in the shallow waters of the study area ranges from 0.06 to 0.18m-1. The accuracy of estimating shallow water depth at the study sites was best represented by R<sup>2</sup> and RMSE values in the range of 0-5m with an attenuation coefficient of 0.06-0.11m<sup>-1</sup>.</p> <p>&nbsp;</p> <p><strong>Keywords: </strong>Diffuse Attenuation Coefficient, Remote Sensing, Sentinel-2 Imagery, Algorithm.</p> 2023-07-09T00:18:05+00:00 ##submission.copyrightStatement## The Compatibility Study of Sentinel 1 Multitemporal Analysis For River-Flood Detection, Study Case: Bogowonto River 2023-07-09T00:43:50+00:00 Muhammad Sufwandika Wijaya [email protected] Ulfa Aulia Syamsuri [email protected] Irfan Zaki Irawan [email protected] Prima Widayani [email protected] Projo Danoedoro [email protected] Sigit Heru Murti [email protected] <p>Flooding is a common natural disaster in Purworejo District, which can be caused by the overflowing of the Bogowonto River. The use of multitemporal analysis with Synthetic Aperture Radar (SAR) images, such as Sentinel-1, has the potential to aid in flood inundation detection for disaster mitigation in the area. However, there has not been any research examining the compatibility of flood inundation detection using multitemporal Sentinel-1 images with the flood susceptibility characteristics of the Bogowonto River. This study aims to evaluate this using a SWOT analysis. The results show that multitemporal analysis using Sentinel-1 images is not suitable for detecting flood inundation in the Bogowonto River due to difficulties in finding the right acquisition time at the time of the flood event. The duration of floods in the Bogowonto River is approximately 1-2 days, while the earliest reacquisition time for Sentinel-1 images for this study is 12 days. Additionally, Sentinel-1 images using band C have limitations in detecting floods under vegetation.</p> 2023-07-09T00:43:50+00:00 ##submission.copyrightStatement## Diagenesis Analysis of Padengo Limestone Area, Gorontalo Regency Based on Petrographic Method 2023-07-09T07:34:23+00:00 Fikri Boften [email protected] Aang Panji Permana [email protected] Muhammmad Kasim [email protected] <p>Carbonate rocks are rocks composed of carbonate minerals that are chemically formed in the form of solutions, and there are organisms involved in their formation. The limestone found around Lake Limboto is very interesting, because the water in the lake is freshwater while the limestone is characteristic of a marine environment. Diagenesis is a natural process in sedimentary rocks that occurs from the initial deposition until it reaches the limit of metamorphism will be formed. The research area is located in Padengo Village, West Limboto Subdistrict, Gorontalo Regency with a research area of 7.72 Km<sup>2</sup>. This research aims to analyze the diagenesis of limestone in the Padengo area of Gorontalo Regency using the petrographic method. The methods used are field geological survey and petrographic analysis. The results showed that the geology of the Padengo area is composed of a wackestone limestone facies unit, a crystalline limestone facies unit, and an alluvial sediment unit. The diagenesis type of the study area consists of neomorphism, micritization, dissolution, cementation, and dolomitization. From the type of diagenesis, it can be determined that the limestone diagenesis environment of the study area starts from the marine phreatic zone, then the burial zone, and ends at the meteoric vadose zone.</p> 2023-07-09T07:34:23+00:00 ##submission.copyrightStatement## Application of Fixed-Wing UAVs to Develop Digital Terrain Model on Coastal Peatland Bengkalis Island 2023-07-09T08:03:31+00:00 Hendra Saputra [email protected] Willy Okcandra [email protected] Sigit Sutikno [email protected] Muhammad Zainuddin Lubis [email protected] <p>Destructive abrasion is currently occurring in Teluk Papal Village.&nbsp; The coast of Teluk Papal Village has a humus soil structure with soil conditions with a type of peat that is relatively easy to decompose. The cause is along the coast because of the absence of coastal protection plants (mangroves). To prevent the increasing abrasion rate, a comprehensive plan is needed by involving relevant stakeholders in both short and long-term planning. One of the efforts in controlling the abrasion rate is the construction of breakwater buildings. Before the construction is carried out, a study is needed to support the breakwater construction. One of the supports is to make a topographic or contour map. The field data acquisition process uses Unmanned Aerial Vehicle (UAV) technology. This data processing technique uses photogrammetric data processing techniques with the stages of flight path planning, measurement of Ground Control Point (GCP), and Benchmark points, which are then tied to BIG's CORS points to produce higher control point accuracy, Dense Cloud Point to create Digital Elevation Model (DEM) or Digital Terrain Model (DTM), and orthophoto embellishment.&nbsp; Furthermore, horizontal and vertical position accuracy tests were conducted using the calculation method issued by BIG regulation No. 15/2014 to provide information on how far the accuracy of the resulting map is. The results of the Digital Terrain Model (DTM) and orthophoto data accuracy test research based on the results of the accuracy test obtained a LE90 value of 0.6757 meters, then for the CE90 value of 0.1543 meters so that it meets the map requirements at a scale of 1:2500 at class 1 horizontal accuracy and class 2 vertical accuracy.</p> <p><strong>Keywords: </strong>Digital&nbsp; Elevation&nbsp; Model, Ground&nbsp; Control&nbsp; Point, Orthophoto, Topography, Unmanned Aerial Vehicle</p> 2023-07-09T08:00:36+00:00 ##submission.copyrightStatement## Characteristics and Dispersion Model of Wastewater PT Kayu Lapis Indonesia, Kendal, Central Java 2023-08-14T02:13:59+00:00 Rizqi Rizaldi Hidayat [email protected] Irwan Harun [email protected] Eddiyanto Eddiyanto [email protected] Isnaini Prihatiningsih [email protected] Ardiansyah Farabi [email protected] <p>PT. Kayu Lapis Indonesia (PT KLI) is a company engaged in the forestry sector, particularly in wood processing. Production activities at PT KLI produce wastewater that is treated and discharged into the sea, and then spreads following ocean currents. This study aimed to analyze the characteristics of wastewater produced by PT KLI and predict the distribution pattern of the waste. The characteristics of the wastewater and seawater were obtained through in situ measurements and sampling, which were analyzed in the laboratory. The distribution pattern of wastewater discharge was modeled using the pollutant model from the hydrodynamic model results around the water. The characteristics of the PT KLI wastewater were dominated by parameters such as pH, biological oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), and total ammonia. The wastewater was processed in a Wastewater Treatment Plant (WWTP) until all the parameters met predetermined standards before being discharged into the ocean. The model results show that wastewater tends to move westward both at high tide in the west and east monsoons and at low tide in the west and east monsoons, with little movement to the east.</p> 2023-08-14T02:13:59+00:00 ##submission.copyrightStatement## TSS (Total Suspended Soil) Analysis Using GEE (Google Earth Engine) Cloud Technology In Sibolga Waters 2023-08-21T02:55:31+00:00 Mardame Pangihutan Sinaga [email protected] Jono Barita Sianipar [email protected] Ady Frenly Simanullang [email protected] Goldberd Harmuda Duva Sinaga [email protected] Mila Susanty Sianipar [email protected] <p>The TSS research using GEE Cloud Technology in Sibolga Waters was carried out from February to April 2021, Mey to July 2021, August to October 2021, and October to December 2021. The analysis was carried out using the Sentinel-2 Satellite. TSS results showed that the highest amount was 60-120 mg/liter and the lowest was 0-60 mg/l. The content of TSS is spread evenly around the edge of the Sibolga coast to the Middle of Sibolga Waters and has passed the quality standard limit according to the Minister of Environment of the Republic of Indonesia which means the Sibolga Water area is polluted and improper for drinking water as well as for fish cultivation. The result has been seasonal influence can determine the direction of the TSS distribution pattern, both tidal factors and weather conditions such as rain and dry season. The side effect on the TSS distribution pattern in Sibolga Waters causes the TSS value at high tide to be higher than at low tide. Sentinel-2 TOA Reflectance Data imagery can be used to map the TSS distribution pattern in the Sibolga Waters area.</p> 2023-08-21T02:47:44+00:00 ##submission.copyrightStatement## Smart Island Lemukutan Through WebGIS Based Benthic Habitat Data Collection 2023-10-04T03:37:00+00:00 Zan Zibar [email protected] Robin Saputra [email protected] Adityo Raynaldo [email protected] Supriyatno Supriyatno [email protected] Budhi Agung Prasetyo [email protected] Risko Risko [email protected] Hendrawan Hendrawan [email protected] <p>Benthic habitats provide a variety of functions, both ecological and economic, for life in coastal areas and small islands. Smart islands or smart islands are currently being implemented in a number of small island developing countries with one of the challenges being technology based. One technology that can be used in management, including monitoring and supervision of resources, is the Geographic Information System (GIS). The synergy of GIS data and the help of the latest multimedia software technology is necessary to help display an interactive and easily accessible, in this case, webGIS technology. This research was carried out on Lemukutan Island which consists of 6 research stations, each of which has a distribution of coral reef location points based on coordinates. Based on the results of the analysis of the percentage of benthic habitats in the study locations ranging from bad to good categories. Furthermore, the data from field observations and analysis results are displayed on the Lemukan Island smart island website and can be accessed at <a href=""></a>. Regular monitoring of coral reefs is very important and needs to be done to help input data for Smart Island Lemukutan so that it becomes a catalyst in realizing a smart island ecosystem in West Kalimantan Province by providing benthic habitat maps via webgis services and actualizing technological development in coastal areas and small islands. smart island based through the smart destination concept by integrating benthic habitat information via WebGIS services.</p> 2023-10-04T03:36:59+00:00 ##submission.copyrightStatement## Combining Two Classification Methods for Predicting Jakarta Bay Seabed Type Using Multibeam Echosounder Data 2023-10-04T07:29:05+00:00 Steven Solikin [email protected] Angga Dwinovantyo [email protected] Henry Munandar Manik [email protected] Sri Pujiyati [email protected] Susilohadi Susilohadi [email protected] <p>Classification of seabed types from multibeam echosounder data using machine learning techniques has been widely used in recent decades, such as Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM), and Nearest Neighbor (NN). This study combines the two most frequently used machine learning techniques to classify and map the seabed sediment types from multibeam echosounder data. The classification model developed in this study is a combination of two machine learning classification techniques, namely Support Vector Machine (SVM) and K-Nearest Neighbor (K-NN). This classification technique is called SV-KNN. Simply, SV-KNN adopts these two techniques to carry out the classification process. The SV-KNN technique begins with determining test data by specifying support vectors and hyperplanes, as was done on the SVM method, and executes the classification process using the K-NN. Clay, fine silt, medium silt, coarse silt, and fine sand are the five main classes produced by SVKNN. The SV-KNN method has an overall accuracy value of 87.38% and a Kappa coefficient of 0.3093.</p> 2023-10-04T07:29:05+00:00 ##submission.copyrightStatement## Analysis of Land Subsidence in Peatlands in the Awareness Area of Pekanbaru, Riau, Indonesia 2023-10-05T02:44:05+00:00 Husnul Kausarian [email protected] Windi Indra Sari [email protected] Fitri Mairizki [email protected] Batara Batara [email protected] Adi Suryadi [email protected] <p>This study area is administratively located in Parit Indah District, Bukit Raya District, Pekanbaru City, Riau Province. Geographically, the research area is located at coordinates 0° 28' 30.92" N 101° 28' 9.45" E N 0° 27' 25.63" - 101° 29' 47.30" E. The aim of this study was to find out the effect of peat soil types on subsidence. The data collection method in this study was carried out using sieve analysis, water content analysis, specific gravity, subsidence analysis, and soil testing in the laboratory. The effect of peat soil on subsidence has a significant effect between the type of peat and subsidence, the higher the maturity level of the peat, the lower the level of subsidence on peat soil. Based on the study's results, the soil consolidation test with a depth of 75cm-3m had a soil settlement value of 0.467. It is recommended to do this to reduce the impact of subsidence in the land area such as the research area so that it does not have too much impact on the construction which is carried out by hardening the location using the vertical wick drain method, as well as for building foundations it can be done using chicken claw foundation.</p> 2023-10-05T02:44:04+00:00 ##submission.copyrightStatement## The Economic Value Zone of Semarang Zoo Using Travel Cost and Contingent Valuation Method 2023-10-07T01:33:15+00:00 Hana Sugiastu Firdaus [email protected] Muhammad Adnan Yusuf [email protected] Ahmad Bassam [email protected] <p>Semarang City is one of the cities in Central Java which has a lot of potential and tourist attractions that can be developed further. The city offers diverse destinations, including Semarang Zoo. In 2007, the Municipal Government of Semarang relocated the zoo from Tinjomoyo Zoo to a new site in the Mangkang area and renamed it Semarang Zoo. Currently, Semarang Zoo is a man-made tourist attraction. The presence of these tourist areas has a substantial impact on the local economy, benefiting the surrounding communities. To assess the post-relocation development of tourist areas, an analysis of the economic value zones was conducted using the Travel Cost Method (TCM) and the Contingent Valuation Method (CVM) to determine the total economic value of the tourist areas. The Hedonic Pricing Method (HPM) was employed to gauge tourism potential based on visitor preferences. The Gravity Model was also utilized to measure the attractiveness of both tourist areas. The sample sizes for Semarang Zoo were 110 for TCM, 105 for CVM, and 110 for HPM. The research findings revealed that Semarang Zoo has a total economic value of IDR 245,895,813,400 and the highest hedonic value of 3.050. The calculated hedonic value suggests a preference value of 3, indicating an average level of preference. Based on the calculation of spatial interactions, it shows that the biggest attractions of the Semarang Zoo are Semarang City and Kendal City.</p> 2023-10-07T01:31:14+00:00 ##submission.copyrightStatement## Analysis of Land Value in the Area Surrounding the Central Business District (CBD) of Simpang Lima, Semarang City Using Geographically Weighted Regression (GWR) 2023-10-20T04:15:00+00:00 Fauzi Janu Amarrohman [email protected] Yasser Wahyuddin [email protected] Ellena Patricia [email protected] <p>According to the Regional Spatial Plan (RTRW) for the City of Semarang in 2011–2031, the area around Simpang Lima is part of City Area 1, with a function as the Central Business District (CBD). Losch (1954) suggests that the value of a parcel of land tends to decrease if it is away from the central business area. Therefore, this study investigated the relationship between changes in land value and the presence of CBD around the Simpang Lima CBD. The methods employed in this study are the calculation of the Average Indicated Value (NIR), analyzing changes in land value in 2012–2023, and the Geographically Weighted Regression (GWR). Based on an analysis of changes in land value for 2012–2023, it shows that the highest change in land value zone for 2012–2018 was in zone 166, with an increase of IDR 20,446,000, and the lowest change in land value was in zone 163, with a decrease of IDR 3,956,000. Meanwhile, the highest change in land value zone for 2018–2023 was in zone 84, with an increase of IDR 28,852,000, and the lowest change in land value was in zone 37, with an increase of IDR 217,000. The results of statistical tests using GWR show that the influence of the distance from the CBD on changes in land values in 2012–2023 is 84%, indicating a high correlation. The results of the T-test performed on each variable indicate that the variables significantly influencing changes in land value are shopping centers and road widths. Shopping centers have a negative correlation. On the other hand, the road width is positively correlation.</p> 2023-10-20T04:15:00+00:00 ##submission.copyrightStatement## Comparative Analysis of the Semantic Conditions of LoD3 3D Building Model Based on Aerial Photography and Terrestrial Photogrammetry 2023-11-14T00:38:14+00:00 Muh Apriansyah [email protected] Harintaka Harintaka [email protected] <p><em>3</em><em>D modeling of buildings is an important method in mapping and modeling the built environment. In this study, we analyzed the differences between the semantic state of actual buildings and 3D models of LoD3 buildings generated using aerial and terrestrial photogrammetric methods. We also evaluated the accuracy of the visual representation as well as the suitability of the building geometry and texture. Our method involves collecting aerial and terrestrial photographic data and processing it using SFM (structure from motion) technology. The photogrammetric data was then processed using image matching algorithms and 3D reconstruction techniques to generate 3D models of LoD3 buildings. The actual semantic state of the building was identified through field surveys and reference data collection. The 3D building model was successfully modeled from 1201 photos and 19 ground control points. The results of the evaluation of the geometry accuracy test, dimensions and semantic completeness of the 3D model, the use of aerial photographs and terrestrial photogrammetry in LoD3 3D modeling are assessed from the results of the automatic 3D modeling process using SfM (Structure from Motion) technology that produces 3D building models in Level of Detail (LoD) 3 with Root Mean Square Error values &lt;0.5 meters and has semantic completeness of the building in accordance with the original object based on the City Geography Markup Language (CityGML) standard. The facade formed from the modeling almost follows the original model such as doors, windows, hallways, etc.</em></p> 2023-10-26T23:15:43+00:00 ##submission.copyrightStatement## The Directions of Settlement Development on Land Availability in Ternate City 2023-10-27T07:55:08+00:00 Eva Purnamasari [email protected] Yudi Antomi [email protected] <p>The development of settlements experienced by the City of Ternate has caused quite serious problems, considering that the City of Ternate is an island city dominated by mountainous land, land development for settlements is limited to coastal lands. The purpose of this study is to analyze the direction of settlement development toward the availability of land in the City of Ternate. The method used in this research is the overlay method and uses a qualitative descriptive research type using secondary data in the form of a Map of Disaster Prone Areas from the Ministry of Energy and Mineral Resources. From the results of the overlapping process between settlements in 2010 and 2020, the direction of settlement development in the City of Ternate is to the south and east which are pointing upwards on the slopes of Mount Gamalama. Judging from the Disaster Prone Areas (KRB) map obtained from the Ministry of Energy and Mineral Resources, the direction of settlement development that has occurred in Ternate City is that KRB I is an area that is located along or near the river valley and the lower reaches of the river which originates at the peak area. The availability of land in the City of Ternate which allows for the construction of a settlement is in the south and east. However, the southern and eastern parts of Ternate City are dense enough so that the dominant development is directed upwards. This upward development needs to consider the slope of the slope considering that Ternate City is a volcanic island.</p> 2023-10-27T07:55:08+00:00 ##submission.copyrightStatement## Gravity Disturbance Analysis of Geodynamics In East Indonesia 2023-10-27T08:23:55+00:00 Al Shida Natul [email protected] Teuku Rykard Yudha Pratama [email protected] Annisa Kurnia Shalihat [email protected] <p>Gravity satellites can be used for geodynamic studies in large and hard-to-reach areas. This study conducts gravity disturbance analysis from GOCE and EGM2008 satellite data for geodynamic interpretation in eastern Indonesia, the results of which are used as a basis for disaster mitigation. Gravity disturbance processing results from GOCE data with values around -300 to 260 mGal and EGM2008 with values around -350 to 450 mGal. Gravity disturbance maps of the GOCE and EGM2008 can clearly show fault patterns in the sea. However, the EGM2008 gravity disturbance map shows the fault pattern in the sea more clearly than the GOCE gravity disturbance map due to the higher spatial resolution of EGM2008 than GOCE. The cross-section of the GOCE and EGM2008 gravity disturbance maps represents the gravity signal of the study area; the GOCE graph represents the signal and forms the EGM2008 gravity disturbance signal components. The novelty of this research is related to the comparison of gravity disturbance maps from GOCE and EGM2008 data, which can be used to detect regional geological structures in eastern Indonesia.</p> 2023-10-27T08:21:32+00:00 ##submission.copyrightStatement## Arthropoda Community Structure in Conservation Forest and Oil Palm Plantation in Java Tongah Village Area, Hatonduhan District, Simalungun Regency 2023-11-07T01:10:03+00:00 Srinatalia Silaen [email protected] Welmar Olfan Basten Barat [email protected] <p>The research about composition and structure of Arthropoda community was conducted at oil palm plantations Arthropoda were collected at oil palm plantation, conservasion forest and forest edge sites (between conservation forest and plantation area) by survey method with systematic random sampling for arthropoda in litter and soil. A total of four Arthropoda species that belonging to 2 orders, 3 families, 4 general and 57 individuals was collected. The highest number of individuals <em>Isotomiella</em> sp. (14 ind) family I<em>sotomidae</em>. <em>Arthropoda</em> community composition consists of 3 families &amp; 4 species: Neanuridae (Lobella sp.), <em>Brachystomellidae</em> (<em>Brachystomella</em> sp.) &amp; <em>Isotomidae</em> (<em>Isotomiella</em> sp. &amp; <em>Folsomides </em>sp.), Arthropoda community structure The highest density is in the litter location I (16 ind / m<sup>2</sup>) while the lowest density is in location III (3.56 ind / m<sup>2</sup>). The highest soil density is in location I (4,538.56 ind / m<sup>3</sup>) &amp; the lowest density is in location III (789,761 ind / m<sup>3</sup>). The highest relative density is location III (100%) &amp; the lowest relative density is found in location I (litter, 5.8%) &amp; (soil, 8.9%). The highest Shannon-Wiener diversity index, both litter and soil, were found in location I (litter 1.28) &amp; (soil, 1.38) and the lowest diversity index was found in location III (0). The highest similarity index for Sorensen was location III (75.71%) and the lowest was the comparison between locations II &amp; I (20%).</p> 2023-11-07T01:10:03+00:00 ##submission.copyrightStatement## Spatio-Temporal Analysis of Ilorin Airport on the Land-Use of Ilorin Metropolis, Southwestern Nigeria 2023-11-07T02:06:28+00:00 Nurudeen Onomhoale Ahmed [email protected] Oyeniyi Solomon Taiwo [email protected] <p>This study investigates land-use patterns and changes in the vicinity of Ilorin Airport in Southwestern Nigeria using spatio-temporal analysis. Geographic information systems (GIS) and remote sensing techniques are employed to analyze land use dynamics from 1972 to 2018, and make a projection to 2078. Satellite images obtained from the United States Geological Survey and primary data collected through GPS serve as the main sources of information for the analysis. The findings reveal significant shifts in land use over the study period. A marked increase in built-up areas indicates urban expansion, while grassland areas experience a corresponding decrease. These changes are attributed to the development and growth of the airport and ongoing urbanization processes in the region. The results provide valuable insights into the impact of airport development and urbanization on land-use patterns in the study area. The study highlights the importance of employing GIS and remote sensing techniques in monitoring and analyzing land-use dynamics, enabling informed decision-making and planning processes. The research contributes to the existing knowledge on land-use changes associated with airport development and urbanization. It provides a foundation for further research in the field of land-use management and spatial planning. The outcomes of this study can inform policy and decision-makers, urban planners, and other stakeholders in developing strategies for sustainable land-use practices and mitigating the potential adverse effects of airport development and urban expansion.</p> 2023-11-07T02:06:27+00:00 ##submission.copyrightStatement## Geographic Information System for Tsunami Disaster Mitigation Evacuation Routes Moving the Sunda Subduction Megathrust (Case Study: Analysis of Pangandaran Regency) 2023-11-09T01:35:46+00:00 Parlindungan Harahap [email protected] R. A. E. Virgana Targa Sapanji [email protected] Ucu Nugraha [email protected] <p>Pangandaran Regency has the potential for an earthquake disaster accompanied by a tsunami which occurred on July 17 2006 at 15.19 with a magnitude of 7.7, earthquake data from the USGS shows an earthquake of magnitude 5-9, there are 909 earthquake points between 1918 - 2023, 2 earthquake points above magnitude 7 (7.7 and 7.44), 18 earthquake points above magnitude 6-6.9, below magnitude 6 there were 887 earthquake points, earthquake points in the south of Pangandaran Regency were concentrated between 2 groups of locations. Raster calculation of land surface at 5 meters above sea level and 10 meters above sea level is not recommended as a location to escape for tsunami disaster mitigation, also 20 meters above sea level is not recommended unless there are no other higher areas, 30 meters above sea level is highly recommended with a note if there are higher areas it is better to shift to a higher area, because tsunami waves cannot be predicted when they hit one area, their height can be different when they hit another area, it can be calculated that the potential impact of the tsunami disaster is 90,576 buildings or houses. Several villages could be rescue locations to mitigate potential tsunami disasters in Pangandaran Regency, such as in Cimerak sub-district (Limusgede village and Cimerak village), in Cijulang sub-district (Kertayasa village and Margacinta village), in Parigi sub-district (Parakanmanggu village, Cintakarya village, Selasari village), in Sidamulih subdistrict (Kersaratu village and Kalijati village), in Pangandaran subdistrict (Pagergunung village), in Kalipucang subdistrict (Ciparakan village), in Padaherang subdistrict (Payutran village, Bojongsari village, Karangsari, Kedangwuluh, Pasirgeulis), for Mangunjaya subdistrict all areas in below 30 meters so that mitigation locations must be prepared in several border villages in Ciamis Regency.</p> 2023-11-09T01:35:46+00:00 ##submission.copyrightStatement## Analysis The Effect of Large-Scale Social Restrictions on Air Quality in DKI Jakarta 2023-11-10T01:02:16+00:00 Angga Dwi Prasetyo [email protected] Nurhadi Bashit [email protected] Muhammad Adnan Yusuf [email protected] Farouki Dinda Rassarandi [email protected] <p>The Covid-19 pandemic has caused all countries to implement strategies to suppress its spread, one of which is Indonesia, especially DKI Jakarta, which has implemented Large-Scale Social Restrictions (PSBB) since April 10 2020. Apart from being able to suppress the spread of the Covid-19 virus, PSBB is thought to have an impact on the environment, especially air quality in DKI Jakarta. According to research from the BMKG, Jakarta's air quality has improved over the last 5 years with the implementation of the PSBB. Besides analyzing the effect of the PSBB on air quality in DKI Jakarta, this research also aims to help governments in every region of Indonesia that do not have air quality monitoring stations. The method used in this study is to utilize Imagery from Sentinel-5P to measure concentrations of NO2, CO and SO2 gases validated using field data and utilize the NOAA Satellite acquired with Ventusky to analyze the effect of wind on the distribution of air pollution due to the PSBB. The results showed that the ratio of the average concentrations of NO2, CO and SO2 gases in DKI Jakarta decreased respectively to 27.70% ; 10.20% ; 42.06%. This shows an increase in air quality in DKI Jakarta due to the implementation of the PSBB. Comparison of the average concentrations of NO2, CO and SO2 gases in DKI Jakarta during the PSBB and after the PSBB increased slightly respectively to 11.92% ; 1.89% ; 35.84%. This shows that there is a decrease in air quality in DKI Jakarta which was caused after the implementation of the PSBB. Wind also affects the concentration of NO2, CO and SO2 gases. This is evidenced by the results of the correlation where the gas concentration is low when the wind speed is high, and vice versa. It was concluded that during the COVID-19 pandemic the concentrations of NO2, CO and SO2 in DKI Jakarta decreased and slightly increased after the PSBB, and wind could affect the distribution of these gases.</p> <p>&nbsp;</p> 2023-11-10T01:02:15+00:00 ##submission.copyrightStatement## The Sensitivity Level of the Coastal Areas in Bulukumba Regency to Waste Pollution 2023-11-16T02:52:17+00:00 Dinda Afifah Adinuha [email protected] Syamsul Bahri Agus [email protected] Neviaty Putri Zamani [email protected] <p>The presence of waste in coastal environments can lead to increased coastal damage and burden. Most of the population's activities in Bulukumba Regency are concentrated in coastal areas, thus making this region susceptible to significant pressure from waste pollution. This research aims to determine the level of coastal area sensitivity in Bulukumba towards waste pollution. The study was conducted from October to December 2022. The research location is the coastal area of Bulukumba Regency, which includes seven subdistricts: Gantarang, Ujung Bulu, Ujung Loe, Bonto Bahari, Bontotiro, Herlang, and Kajang. Primary data were obtained through interviews and direct observations at the research locations, while secondary data were collected through literature studies and relevant institutions in Bulukumba. The results of parameter weighting using the expert judgment method indicate that five important parameters are used to assess the sensitivity of the coastal environment to waste pollution. These parameters consist of current velocity (20.27%), distance of the ecosystem from the harbor (18.92%), distance of the ecosystem from settlements (18.92%), distance of the ecosystem from rivers (17.57%), and the presence of waste on the coast (17.57%). The distribution of coastal environmental sensitivity levels to waste pollution shows that the eastern coastal areas are more sensitive to waste pollution than the southern coastal areas. The current velocity is the most significant parameter influencing the coastal environment's sensitivity to waste pollution and holds the highest weight and score across all research areas.</p> 2023-11-16T02:52:17+00:00 ##submission.copyrightStatement## Analysis of Rob Flood Risk on The Coast of East Luwu District Using GIS 2023-11-18T02:43:26+00:00 Nanda Riska Devy [email protected] Syamsul Bahri Agus [email protected] Setyo Budi Susilo [email protected] <p>Rob floods caused by rising sea levels are a natural disaster that can potentially threaten coastal areas, especially in Indonesia. Tidal floods seriously threaten coastal areas, especially East Luwu Regency. Environmental factors and rapid growth on the coast of East Luwu Regency influence the vulnerability and complexity of the environment. This research aims to identify the spatial distribution of tidal flood risk levels and predict tidal flood inundation in 2050 at the highest tide on the coast of Luwu Timur District. This effort is part of a disaster mitigation strategy due to rising sea levels. The modeling approach involves Geographic Information Systems (GIS) overlaying data and integrating DEM, HHWL, and SLR data for 28 years (1992-2020). The research results show that the coastal areas studied have a high risk related to tidal flooding, with locations closest to the coastline being at the highest risk. In contrast, the risk decreases as you move away from the coastline. Apart from that, the modeling results also estimate that in 2050, inundation will reach a height of 1,570 meters. The area affected by tidal flood inundation has increased in each sub-district. The inundation will spread evenly along the coastline and extend inland due to seawater intrusion. Coastal areas dominated by production land, such as ponds and agricultural areas, are predicted to experience the most extensive impact of inundation compared to other land uses. Emphasizes the need for mitigation efforts to minimize the impacts that may be caused by tidal floods in the future.</p> 2023-11-18T02:43:26+00:00 ##submission.copyrightStatement## Machine Learning-Enhanced Geographically Weighted Regression for Spatial Evaluation of Human Development Index across Western Indonesia 2023-11-24T02:10:55+00:00 Gustian Angga Firmansyah [email protected] Junta Zeniarja [email protected] Harun Al Azies [email protected] Sri winarno [email protected] Syuhra Putri Ganiswari [email protected] <p>The HDI (Human Development Index) is one of the important components to measure the level of success in efforts to improve the quality of human life. The human development index is built with three dimensions, namely the longevity and health dimension, the knowledge dimension and the decent standard of living dimension. The longevity and health dimension is measured using Life expectancy at birth. The knowledge dimension is measured using expected years of schooling and average years of schooling. Meanwhile, the decent standard of living dimension is measured using Adjusted per capita expenditure. This study aims to find factors that influence HDI (Human Development Index) in Western Indonesia Region using machine learning models. The results obtained are that HDI is influenced by average years of schooling, expected years of schooling, Life expectancy at birth, and Adjusted per capita expenditure which are sorted from the most significantly influential. The model used in this study is GWR (Geographically Weighted Regression) with evaluation results including, AIC of 215.3162, AICc of 226.5107, and the accuracy level in the form of R-square of 99.38% which means this model is good to use.</p> 2023-11-24T02:10:54+00:00 ##submission.copyrightStatement## Data-Driven Modeling of Human Development Index in Eastern Indonesia's Region Using Gaussian Techniques Empowered by Machine Learning 2023-11-25T11:29:01+00:00 Syuhra Putri Ganiswari [email protected] Harun Al Azies [email protected] Adhitya Nugraha [email protected] Ardytha Luthfiarta [email protected] Gustian Angga Firmansyah [email protected] <p>The Human Development Index (HDI) is a statistical measure used to measure and evaluate the progress and quality of human life in a country. For the Government of Indonesia, HDI is important because it is used to create or develop effective policies and programs. In addition, HDI is also used as one of the allocators in determining the General Allocation Fund. The 2022 HDI data released by BPS shows that there has been an increase in the HDI in each district/city over the last 12 years, including in the regions of Eastern Indonesia. High and low HDI values are influenced by several factors, and there are indications that there is spatial diversity where surrounding areas tend to have HDI levels that are not far from the area. The Geographically Weighted Regression method is used in this study because it takes into account spatial aspects. However, the GWR model must be built repeatedly if there is regional expansion. Therefore, a GWR model that applies machine learning methods is needed where the model is built and tested using different datasets, namely training data and test data, so that the model can predict new data better. The results obtained are that the GWR model with test data has a better R-Square value when compared to the GWR model previously trained using training data, which is 0.9946702, based on the linear regression model shows the results that the most influential factor on HDI in Eastern Indonesia is expected years of schooling (<em>X2).</em></p> 2023-11-25T11:29:00+00:00 ##submission.copyrightStatement## Macrozoobenthoc Diversity on The Mangrove Ecosystem in The Gosong Telaga Selatan Mangrove Ecotourism, Singkil Utara District, Aceh Singkil District 2023-12-08T23:09:15+00:00 Riau Wanshi Manik [email protected] Welmar Olfan Basten Barat [email protected] Mardame Pangihutan Sinaga [email protected] <p>Macrozoobenthos is a group of organisms that live in or on the surface of bottom sediments and have a length of more than 1 mm. One of the macrozoobenthos habitats is the mangrove ecosystem in the Gosong Telaga Selatan Ecotourism Mangrove, North Singkil District, Aceh Singkil Regency. Knowledge that macrozoobenthos can provide food availability for other organisms and as an indication of the suitability of potential water quality, especially pollution indicators, and plays an important role in the decomposition process of organic material in sediment in the mangrove ecosystem, so that the macrozoobenthos community can be used as an indicator of the balance of the mangrove ecosystem. This research aims to identify the diversity, uniformity, and dominance of Macrozoobenthos in the Gosong Telaga Selatan Mangrove Ecotourism Area, North Singkil District, Aceh Singkil Regency. This research uses a combination of two transect methods, namely line transects and quadratic transects. Determining the research location used the purposive sampling technique. Data analysis uses qualitative and quantitative analysis. The research results show that there are 7 Macrozoobenthos species, consisting of 3 classes, with a total of 182 individuals. Macrozoobenthic diversity in the ecosystem area in the Gosong Telaga Selatan Mangrove Ecotourism, North Singkil District, Aceh Singkil Regency is classified as moderate with a diversity index of Ĥ= 1.35-1.75, the uniformity index is classified as stable, ranging between E= 0.76-0.93, and the dominance index is classified as low.</p> 2023-12-08T23:09:15+00:00 ##submission.copyrightStatement## Mangrove Community Structure in Pematang Sei Baru Village, Tanjung Balai District, Asahan Regency 2023-12-09T23:33:24+00:00 Reaful Samuel Sitorus [email protected] Welmar Olfan Basten Barat [email protected] Ewin Handoco [email protected] <p>Coastal and marine areas are an integrated ecosystem and are interconnected with each other, so they have a mutual correlation. In a coastal ecosystem, there is an exchange of matter and energy that takes place in the system and with other external system components. Based on the importance of the role of mangrove ecosystems in a body of water and the lack of information about the structure of mangrove communities in Pematang Sei Baru Village, Tanjung Balai District, Asahan Regency, North Sumatra, this research is important to be carried out to determine the condition of mangrove ecosystems and can provide understanding to the community about the importance of ecosystems for coastal areas. The data analysis used in this study is both descriptive and quantitative. The data analysis used includes diversity and uniformity index, dominance, mangrove community structure, and canopy cover. The highest diversity in trees is found at station 3, with a value of 2.20, and the lowest, with a value of 2.12, at station 2. The highest uniformity in trees is found at station 2, with a value of 0.96, and the lowest at station 5, with a value of 0.93. The highest dominance value was in <em>Rhizophora mucronata</em> with a value of 15.75%, <em>Xylocarpus granatum</em> with a value of 11.51%, and <em>Bruguiera cylindrical</em> type with a value of 10.73%. 1 highest INP value is the type of <em>Rhizophora mucronata</em> with a value of 55.79% and canopy cover in the medium category. Based on the results of observations made at the location of this study, there are many remnants of logging carried out by the surrounding community, which, if left unchecked, will lead to reduced land, which will greatly affect the ecosystem in it. Therefore, the role of the government is expected in conducting supervision in this area.</p> 2023-12-09T23:33:23+00:00 ##submission.copyrightStatement## Mangrove Plant Community Structure of Kwala Indah Village, Batu Bara Regency 2023-12-11T22:21:06+00:00 Ricky Tommy Fransiskus Purba [email protected] Welmar Olfan Basten Barat [email protected] Daniel Tony E Siburian [email protected] <p>Coastal areas are transitional areas between land and marine ecosystems that have high biological productivity. Mangroves are a type of plant that grows in coastal areas or river estuaries and has an ecological function by acting as the last defense against sea waves after coral reef and seagrass ecosystems, as sediment traps, as a place to find fish food, as a fish spawning ground, as a shelter, and as a place for fish farming. Mangrove Plant Community Structure Research in the Kwala Indah Village Area was conducted in August–October 2023 with the aim of knowing the types of mangroves, mangrove diversity and uniformity, dominance, Important Value Index (INP), and mangrove crown cover in Kwala Indah Village. The method used in the observation of mangrove plant community structure is to use the quadrant transect method by analyzing species density, relative density, species frequency, relative frequency, species dominance, relative dominance, and important value index at the tree, sapling, and seedling levels, as well as crown cover. Based on the results of the study, 7 species were found, namely <em>Xylocarpus granatum</em>, <em>Xylocarpus mekongensis</em>, <em>Rhizophora apiculata</em>, <em>Rhizophora mucronata</em>, <em>Soneratia alba</em>, <em>Bruguiera parviflora</em>, and <em>Excoecaria agallocha</em>.&nbsp; <em>Xylocarpus and Rhizopora</em> have the highest INP, diversity, uniformity, and dominance. Canopy cover is in the medium category; coastal areas are transitional areas between terrestrial and marine ecosystems that have high biodiversity values.</p> 2023-12-11T22:21:06+00:00 ##submission.copyrightStatement## Mangrove Plant Community Structure, Sungai Apung Village, Tanjung Balai Sub-District, Asahan District, North Sumatra Province 2023-12-14T00:17:03+00:00 Lista Celsi Wilda Sitio [email protected] Welmar Olfan Basten Barat [email protected] Ria Retno [email protected] <p>Mangroves are a type of vegetation found in tropical coastal areas. In general, mangrove vegetation thrives in sloping coastal areas or near river estuaries and beaches that are protected from waves. The physical function of mangrove forests is to keep the coastline stable, protect the coast from erosion, reduce storms and waves, and catch sediment, while the biological function of mangroves is as a spawning place or residence, shelter for shrimp, crabs, shellfish, and other animals. Research on Mangrove Plant Community Structure in the Kwala Indah Village Area was carried out in August–November 2023 with the aim of determining mangrove types, mangrove diversity and uniformity, dominance, the Important Value Index (INP), and mangrove canopy cover in Singai Apung Village. The method used to observe the community structure of mangrove plants is to use the quadrant transect method by analyzing species density, relative density, species frequency, relative frequency, species dominance, relative dominance, and important value index at the tree level. , saplings and seedlings, as well as canopy cover. Based on the research results, 10 species were found, namely <em>Avicennia alba</em>, <em>Avicennia lanata</em>, <em>Bruguiera cylindrica, Bruguiera sexangula, Excoearia agallocha, Lumnitzera littorea, Rhizophora apiculata, Rhizophora mucronata, Sonneratia alba, and Xylocarpus granatum</em>. <em>Rhizopora mucronata</em>, which has INP, diversity in the medium category, and uniformity in the high category, has the highest dominance in <em>Rhizophora mucronata</em>. Canopy cover is in the dense category.</p> 2023-12-14T00:13:45+00:00 ##submission.copyrightStatement## Sedimentation Rate Analysis Waters in Tegalsari Beach Fishery Port, Tegal 2023-12-14T21:34:36+00:00 Muhamad Kemal Idris [email protected] Benny Kemal Heriyanto [email protected] Suryo Nur Sodik [email protected] Wahyu Adi Setyaningsih [email protected] <p><em>Tegalsari Coastal Fishing Port (PPP) is a fishing area located in Tegal City and is a port with fairly dense ship activity. With the conditions owned in the Tegalsari PPP, it makes the Coastal Fishing Port with high economic potential. Conditions that affect activities at Tegalsari PPP are the silting of shipping lanes which cause sedimentation in the port pond or in the shipping channel. Therefore, information about bathymetry and sedimentation rate is needed to facilitate shipping flows at PPP Tegalsari. The purpose of this study is to identify hydrooceanographic conditions in Tegalsari PPP, analyze sedimentation rates in Tegalsari PPP and provide recommendations for the results of sedimentation rate analysis. The data used in this study contained 3 data, namely bathymetric data, tidal data and sedimentation rate data. For data processing using Mike 21 software. The results that have been carried out in this study have varied results on bathymetric conditions and sedimentation rates in Tegalsari PPP. The results of bathymetric modeling. In existing conditions PPP Tegalsari has an average depth of 1.2 – 3.6 m, in alternative 1 it has a depth of 3.0 – 7.2 m and in alternative 2 it has a depth of 2.5 – 7.0 m. The sedimentation rate in PPP Tegalsari within the research period of 15 days, namely in existing conditions ranging from 1.095 mm/year, in alternative 1 ranging from 0.438 mm / year and in alternative 2 ranging from 0.486667 mm/year. In the results of the research conducted that the level of sedimentation conditions in Tegalsari PPP is low. Thus, at the time of sedimentation does not affect the shipping channel at PPP Tegalsari.</em></p> 2023-12-14T21:29:51+00:00 ##submission.copyrightStatement## Delineating of Groundwater Aquifer Potential Using Vertical Electrical Sounding (VES) Methods in Giriloyo, Wukirsari Village, Imogiri District, Bantul Regency, Special Region of Yogyakarta 2023-12-15T20:57:52+00:00 Desi Kiswiranti [email protected] Dina Tania [email protected] Nurul Dzakiya [email protected] Prita Hanani [email protected] <p>The geophysical investigation in Giriloyo, Wukirsari Village, has defined the groundwater potential zones. The research region underwent a geophysical examination utilizing the electrical resistance method, which comprised the vertical electrical sounding (VES) technique and the Schlumberger array system. The study area is surrounded by common rock types such as lava, tuff, agglomerate, and alluvial. In the study region, five lines were explored. Data for subsurface resistivity were gathered with an Oyo McOhm type 2115. IPI2win, a piece of computer software that analyzes data and automatically interprets apparent resistivity, was used to examine the data. The VES data showed the varied nature of the subsurface geological sequence. The geoelectrical cross-sections along the profile of (VES 2-3-4-1) show an aquifer, which stretches from the southeast towards the northwest part of the basin. Tuff is seen to have formed shallow aquifers due to the top weathered part at VES-2 and 3, while Quartz chlorite calcite (VES-4) and Plagioclases (VES-1) are devoid of shallow aquifers. The higher-elevation lithological areas recharge the low-elevation aquifer zones. At VES 2 and 3, relatively low resistivity values (&lt; about 100 Ωm) have been observed. A field observation at these locations reveals that these lithologies are highly fractured with a weathering profile of up to 10 m. Thus, these are the sites where groundwater potential zones can be marked (figure 4). The high resistivity (about 3162 Ωm regions is observed extending at the VES-4; this may be due to the least weathered Quartz chlorite calcite at high elevation. VES-1 is also located on the plagioclase and shows a slight resistivity zone, which could be considered a groundwater recharge zone. This profile shows the high possibility of groundwater potential due to the zone of lineaments.</p> 2023-12-15T20:57:51+00:00 ##submission.copyrightStatement## Developing an Algorithm to Improve Positioning Accuracy of Low-Cost Global Navigation Satellite System Modules 2023-12-15T21:30:35+00:00 Malavige Don Eranda Kanchana Gunathilaka [email protected] Indula Karunathilaka [email protected] Nihal Perera [email protected] <p>Global Navigation Satellite System (GNSS) technology is the most widely used technique for obtaining positioning and navigation information for various applications. However, GNSS is not an error free technology. Differential GNSS techniques are used to mitigate these errors and different commercial brands of GNSS receivers have been developed to avoid some errors where quality and &nbsp;performance depends heavily on the price tag of such advance GNSS receivers due to the fact that technological capabilities adopted and&nbsp; embedded in each single GNSS receiver. There are user cases where the few or more those capabilities has to keep leave behind thereby compromise the cost to benefit ratio. As an alternative to above problem, some low-cost GNSS modules are now available in the market which has quite low position accuracy but can be developed to address unique requirements of some user cases. In practical situations, Real-Time-Kinematic (RTK) positioning systems cannot be used everywhere due to its technical limitations and GNSS receivers use different levels of techniques such as moving baseline system or Satellite Based Augmentation System (SBAS). Further, heading information is also a very important parameter in marine industry for obtaining the vessel’s orientation. This research attempts to assess the capability of u-blox NEO M8N GNSS module for hydrographic surveys by developing a moving baseline GNSS configuration and simple Kalman filter based algorithm. The developed prototype was tested in both static and kinematic observations. The prototype achieved 0.5-2.5 meters of position accuracy at the 95% confidence level in static observations, while it archived around 3 meters of positioning accuracy in kinematic observations. This is a sufficient accuracy for Order 1a, Order 1b and Order 2 standards of hydrographic surveys according to the IHO S-44 guidelines.</p> 2023-12-15T21:30:35+00:00 ##submission.copyrightStatement## Potential of Metal Minerals in the Weikeri River, North Wetar, and Southwest Maluku 2023-12-16T22:39:39+00:00 Subhan Arif [email protected] Nurul Dzakiya [email protected] Maulana Mairatu Tuheteru [email protected] <p>The modern era, demand for metals as raw materials in technology continues to increase along with industrial development. Metals are used in various sectors, such as construction, automotive, electronics, and renewable energy. However, the availability of currently used metals is limited and poses challenges in terms of supply and environmental impact. To overcome these limitations, it is important to search for new metal resources. The potential for the existence of new metal deposits can be discovered through comprehensive geological research, especially in areas that have not been widely explored. One area of interest for this research is the Weikeri River, Uhak Village, Southwest Maluku. This research aims to explore the potential for metal deposition in the Weikeri River area and Uhak Village, Southwest Maluku. Using surface geological survey techniques, this research was carried out through a literature study stage and then a field geology study. Field studies are aimed at obtaining lithology, geological structure, alteration, and mineralization data. The results of field research show that the research location is composed of underwater volcanic rocks. Rock alteration conditions are dominated by the propylitic alteration type in andesite lithology, both in lava and in intrusions in the form of dikes and sills. Other alterations are argillic and silicified. The mineralization condition found was a brecciated quartz vein system. The resulting minerals found were sulfide minerals in the form of pyrite, galena, and chalcopyrite. The percentage of the presence of these minerals ranges from 1–3% on the surface.</p> 2023-12-16T22:24:49+00:00 ##submission.copyrightStatement## Design and Development of A Digital Soil Temperature Monitoring System Based on The Internet of Things at North Sumatra Climatological Station 2023-12-28T00:32:48+00:00 Royston Manurung [email protected] Tulus Ikhsan Nasution [email protected] Syahrul Humaidi [email protected] Immanuel Jhonson A. Saragih [email protected] Khindi Aufa Hibatullah [email protected] Marhaposan Situmorang [email protected] Yahya Darmawan [email protected] <p>Soil temperature is a crucial parameter in monitoring and understanding climate and soil ecosystems. It plays a vital role in various environmental aspects, including agriculture, ecology, and geoscience. Monitoring soil temperature is necessary for planning and managing agriculture and natural resources. Currently, temporal observations of soil temperature by BMKG are limited, conducted only at 07:55, 13:55, and 18:55 local time. This limitation makes it difficult to perform detailed soil temperature analysis. This research was conducted to design a digital soil temperature monitoring device accessible via the internet. Seven DS18B20 sensors were used at depths of 0 cm, 2 cm, 5 cm, 10 cm, 20 cm, 50 cm, and 100 cm, combined with an ESP8266 module using the Arduino system. The implementation of this design resulted in a real-time soil temperature monitoring system with data updates every 10 seconds. The observed data are displayed on a 20x4 LCD and sent to the cloud, making them accessible on the webpage Calibration results indicate that the DS18B20 sensors used in this study provide accurate and consistent temperature measurements, with an average correction range of (-0.20) to 0.24, thus suitable for operational use. Field tests show that the digital data are accurate and correspond (linearly correlate) with conventional data. This is based on a correlation value of 0.7, while the RMSE values range from 0.5 to 2.18 and the bias ranges from (-0.69) to 0.08.</p> 2023-12-27T00:00:00+00:00 ##submission.copyrightStatement## Geographic Information System Mapping Risk Factors Stunting Using Methods Geographically Weighted Regression 2023-12-28T00:37:18+00:00 Siska Mayasari Rambe [email protected] Suendri Suendri [email protected] <p>Technological developments in this era of globalization are very rapid. This requires humans to enter life together with information and technology. <em>Stunting</em> as a chronic nutritional problem in children, continues to be a global challenge. Geographic Information Systems (GIS) have proven to be effective tools in spatial analysis and distribution mapping <em>stunting</em>. In this context, method <em>Geographically Weighted Regression</em> (GWR) has been used to model the spatial relationship between factors that contribute to stunting. This research will produce a Geographic Information System using the method <em>Geographically Weighted Regression. </em>With this Geographic Information System, it can display location points and affected information <em>stunting. </em>Because of this system, the Padang Lawas Utara District Health Office does not need to store location data <em>stunting</em> in archive form again but digitally. This study underscores the importance of using GIS with the GWR method in mapping patient locations <em>stunting</em>. Through the integration of geographic data and spatial analysis, we can generate a better understanding of the influencing factors <em>stunting</em> at the local level, which in turn can support prevention and response efforts <em>stunting</em> which is more effective.</p> 2023-12-27T00:00:00+00:00 ##submission.copyrightStatement## Optimizing the Waste Bank Mapping Management Information System in Batam City 2023-12-28T23:49:39+00:00 Fendi Hidayat [email protected] Nur Budi Nugraha [email protected] <p>Geographic Information Systems (GIS) have been widely applied in environmental health, including determining the locations of waste banks. Currently, in Batam City, there is no mapping-based system available to track the distribution of waste banks, posing challenges for residents to access information about nearby waste bank locations. Population growth is correlated with rising household demands, including the need for food, clothing, and housing. People need their basic necessities to survive. The industries of manufacturing, transportation, healthcare, and communication have all seen significant advancements since the Industrial Revolution. With the advent of information and technology (IT), all of those areas' development in the 19th and 20th centuries was larger and faster. Hence, this study introduces a management information system with mapping technology for waste banks in Batam City. Employing a descriptive analysis approach, the software development follows the waterfall method, and Unified Modeling Language (UML) serves as the design tool. The resulting system proves effective in providing information on Waste Bank locations and assisting administrators in managing Waste Bank location data.</p> 2023-12-28T23:24:05+00:00 ##submission.copyrightStatement## Underwater Acoustic Propagation using Monterey-Miami Parabolic Equation in Shallow Water Kayeli Bay Buru Distric 2024-01-02T02:57:16+00:00 Rayi Khasanah Lalita [email protected] Henry M Manik [email protected] Irsan S Brojonegoro [email protected] <p>Indonesia's geographical position is an advantage compared to other countries, both in terms of geoeconomics, geopolitics and geostrategy. For this reason, it is necessary to develop and use acoustic methods to describe underwater features, carry out underwater communications or to measure oceanographic variables at sea. This research was intended to provide an analytical and visual graphical description with the aim that it can be used for various purposes both in the research, military and other marine fields, as well as to analyze the influence of sediment and different frequencies on acoustic propagation patterns in shallow waters of Kayeli Bay. This research was conducted using CTD data from Kayeli Bay, which is a body of water in Buru Regency, Maluku Province and is located between 3° 15' 55'' – 3° 22' 50" S and 127° 01'35" – 127° 01' 35 "E, using the Monterey-Miami parabolic equation method using 4 types of sediment and 3 different frequencies as model input. From the results of this research it can be concluded that the propagation of sound waves in shallow seas is greatly influenced by the type of sediment and frequenty used. Changes in acoustic impedance at the bottom of the water and within the water column can significantly influence the behavior of acoustic waves in shallow water environments, and accurate acoustic impedance data are critical for effective ray tracing modelling.</p> <p>&nbsp;</p> 2024-01-02T02:57:16+00:00 ##submission.copyrightStatement##