https://jurnal.polibatam.ac.id/index.php/JAIC/issue/feed Journal of Applied Informatics and Computing 2020-09-17T05:16:32+00:00 Dwi Ely Kurniawan, M.Kom dwialikhs@polibatam.ac.id Open Journal Systems <p>Journal of Applied Informatics and Computing (JAIC) is a peer-reviewed open access journal. We invite lecturers, researchers and students to exchange and disseminate theories and practices oriented towards the application of informatics and computing. Submitted papers can be written in Indonesian and English (preferably) for the initial review stage by the editor and two reviewers. The Journal covers the whole spectrum of applied informatics and computing, which includes, but is not limited to: Applied Informatics, Applied Computing, Applied Mathematics, Applied Network Computing.</p> <p>Journal of Applied Informatics and Computing&nbsp;(JAIC) is a journal published by Department of Informatics Engineering, Politeknik Negeri Batam. The JAIC is issued 2&nbsp;times a year in electronic form. The electronic pdf version is accessible on the internet free of charge. We encourage all interested contributors to submit their work for consideration. <em>e</em>-ISSN:&nbsp;2548-6861</p> https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/2192 Expert System for Diagnosing Newborn Babies Disease Using the Sorgenfrei Similarity Method 2020-09-17T04:32:01+00:00 Adri Triandhika Septyanto andikaadri@gmail.com.id Imam Husni Al Amin imam@edu.unisbank.ac.id <p>Newborn neonates who are 0-28 days old. At that time the baby has a physical condition that is very weak and helpless to the surrounding environment. Newborns need special handling different from babies at the age of 1 month also above. Diagnosis also treatment is quickly required by the midwife in an emergency. Without there are still many midwives who have not been able to handle it properly, causing the baby's condition to become worse. To get fast and accurate handling information, we need a system in the form of an expert system. Expert systems can diagnose newborn diseases using the Sorgenfrei similarity algorithm. The system can display information about the type of disease, symptoms, solutions, and the percentage of similarity from the results of consulting the symptoms input. The results of testing the system with the consultation of the symptoms included got the highest percentage of similarity results 53.33%. The percentage of similarity results below 20% will be entered into the revised table which will later be corrected by experts. This expert system is built based on a website that can be accessed by all midwives who need handling information</p> 2020-09-17T03:17:44+00:00 ##submission.copyrightStatement## https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/2155 Aplikasi Android Untuk Mencari Jalur Tercepat Pada Pengiriman Barang Dengan Algoritma Held-Karp 2020-09-17T04:18:46+00:00 Alfin H alfin16ti@mahasiswa.pcr.ac.id Kartina Diah Kesuma Wardhani diah@pcr.ac.id <p>The total number of shipments to be sent from 2017 with an average total of 18 million shipments per month until 2018 reaches 24 million per month, while the process the shipping path is still as described and guessing, so couriers often wrong in estimating the fastest route or forgetting to order delivery based on previous couriers which cause the courier to have to turn around and every time the courier turns back then the shipping process becomes ineffective in terms of time, distance and cost. Based on the results of a 2018 study, Held-Karp produced a better route than Iterative Deepening Search in finding a shipping route. Therefore an Android-based application is created and uses the Google Maps API to determine the time, distance, and cost required at each point of delivery, as well as using the Held-Karp algorithm to search for the fastest path based on time, distance and cost. Based on functionality testing the application is estimated to run correctly and per the expected function, then in cyclometric complexity testing, the Held-karp algorithm is categorized in well-written and structured code and high testability because there is no v (G) above 10.</p> 2020-09-17T03:35:23+00:00 ##submission.copyrightStatement## https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/2387 Goldfish (Carassius auratus) Segmentation Using Expectation Maximization (EM) Method 2020-09-17T04:18:50+00:00 Yunda Heningtyas yunda.heningtyas@fmipa.unila.ac.id Rico Andrian rico.andrian@fmipa.unila.ac.id Akmal Junaidi akmal@gmail.com S Susiyani susiyani226@gmail.com <p><em>Carassius Auratus, also known as goldfish, is the most commonly kept ornamental fish in an aquarium that has a variety of species, shapes, and colors. Goldfish anatomy is almost similar between species so it is difficult to distinguish. Goldfish identification has several processes to determine the level of success. One process that is very important for identification is segmentation. Segmentation is the stage to separate objects and backgrounds. Good segmentation results will provide maximum feature extraction results and it should impact on optimal identification results. This research aims to create a system that can be used to segment goldfish fish objects in the background using the Expectation-Maximization method. Expectation-Maximization is an algorithm for estimating a parameter in a function by using Maximum Likelihood Estimation (MLE). Goldfish fish species total of 72 images each totaling 216. Goldfish segmentation evaluation results using the Expectation-Maximization method can work well with an accuracy rate of 89.14%. Analysis of the results of the imperfect fish image segmentation is influenced by white light and the background color is almost similar to that of the goldfish. The results of the best goldfish image segmentation are influenced by a good goldfish image when the image capture process at the time of the screenshot has a stable focus and is not blurry so that the edges of the goldfish object appear clearly and sharply.</em></p> 2020-09-17T04:18:23+00:00 ##submission.copyrightStatement## https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/2188 Best Products with TOPSIS Method and Sales Forecasting with Weighted Moving Average 2020-09-17T05:16:32+00:00 Mohamad Helmi Ilman Fahmi helmiathaya@gmail.com Imam Husni Al Amin imam@edu.unisbank.ac.id <p>In a company engaged in the sale and purchase of products can not be separated from the calculation of profit or loss that is the main factor for the company's progress. However, in certain companies such as minimarkets and convenience stores, it is not easy to record company profits and losses. This of course requires a system that can help companies in determining sales strategies or at least a picture of sales in the future. Things that can be done to help these problems is to create a system that forecast sales or forecasting. One method that can be used to make sales forecasts is the wighted moving average method. However, due to the large number of products sold in minimarkets with different values, of course there must be other methods that can filter products so that forecasting can be more effective. One way to handle this is to use a product ranking system with the Techinique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The topsis method was chosen because the calculation is very detailed and structured, so that it can maximize the ranking value. By combining sales forecasts and product ranking is expected to create a system that can help companies in determining sales strategies in the future. Later this system is combined with the point of sale system to get accurate sales results. This system is designed using PHP and Javascript programming languages, then the database is stored in MySQL.</p> 2020-09-17T05:16:32+00:00 ##submission.copyrightStatement##