Journal of Applied Informatics and Computing <p>Journal of Applied Informatics and Computing&nbsp;(JAIC) is a journal published by Department of Informatic 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> en-US <p>Authors who publish with this journal agree to the following terms:</p> <ul> <li class="show">Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a&nbsp;<a href="">Creative Commons Attribution License</a> (<strong>Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)</strong> ) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.</li> <li class="show">Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.</li> <li class="show">Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (<a href="">See The Effect of Open Access</a>).</li> </ul> (Dwi Ely Kurniawan, M.Kom) (Nelmiawati, B.CS., M.Comp.Sc.) Tue, 04 Feb 2020 04:08:50 +0000 OJS 60 MultiClass Decision Forest Machine Learning Artificial Intelligence <p>Kecerdasan buatan merupakan solusi yang terbaik dalam menangai berbagai bidang. Algoritma Multi Class Decesion Forest Machine Learning yang merupakan bagian dari kecerdasan buatan adalah bidang yang menarik untuk diterapkan dalam bidang perbankan. Penelitian ini dikembangkan untuk membangun model yang dapat memprediksi dan mengevaluasi kebangkrutan industri perbankan. Variabel prediktor adalah rasio keuangan yang didapatkan dari publikasi situs Modeling machine learning dengan enam variabel, dimana lima variabel sebagai input dan satu variabel sebagai target. Secara keseluruhan, Multi Class Decistion Forest Machine Learning mampu melatih data hubungan input-output dan perilaku pemodelan dengan baik, nilai accuracy 92%, nilai precision 92% dan nilai under area curve 90%.</p> Bambang Siswoyo ##submission.copyrightStatement## Thu, 23 Jan 2020 04:48:23 +0000 Feature Extraction of Tobacco Leaf Based on Discrete Cosine Transform (DCT) <p><em>The success of the tobacco leaf classification process is very dependent on the extraction of tobacco leaf features. Several stages of digital image processing can improve the ability to identify the best quality tobacco automatically through extracting leaf texture features. This study aims to apply the leaf texture feature extraction system using the Discrete Cosine Transform method. Classification results measure the accuracy of the success of the system in extracting the best texture features. The classification of tobacco leaves requires extensive knowledge and complex terminology, even professional graders require significant time in this field for mastery of the subject. This is because tobacco leaves are usually considered to have characteristics that are useful for identification of tobacco quality where the extraction of appropriate features through leaf images can be considered a research problem that plays an important role for classification. The proposed research aims to find a suitable extraction model for obtaining color features through&nbsp;YCbCr&nbsp;color space conversion and tobacco leaf texture obtained from the transformation of the Discrete Cosine Transform frequency space. On classification stage in this research uses the maximum likelihood method. The trial results show an accuracy of success in the classification of tobacco leaves by 90% through the extraction of 12 features.</em></p> Rosida Vivin Nahari, Arda Surya Editya, Riza Alfita ##submission.copyrightStatement## Tue, 04 Feb 2020 03:56:41 +0000 Application of Elephant Herding Optimization (EHO) Algorithm on Hybrid Flowshop Scheduling (HFS) Problems <p>The industry is the driving force for the economy in Indonesia. One of the problems faced by industrial companies in the production process is determining the production schedule. The production schedule that is not according to the specified target can cause losses to the company. Scheduling is the allocation of resources to carry out a set of work at a specified time. The problem solved in this article is hybrid flowshop scheduling (HFS), it’s will be applied to companies engaged in bread making. A solution to solve the HFS problem using elephant herding optimization (EHO) algorithm. For the company to complete the production process by minimizing makespan, effective scheduling is needed, taking into account the number of parallel machines. The results of this article are 9 jobs and makespan 11.270 seconds using the MATLAB software.</p> Ahmad Kamsyakawuni, Khurnia Palupi, Agustina Pradjaningsih ##submission.copyrightStatement## Tue, 04 Feb 2020 04:04:22 +0000 Analisis Tingkat Kepuasan Pengguna Sistem Informasi Kerja Praktek dan Skripsi (SKKP) Menggunakan Metode End User Computing Satisfaction (EUCS) <p>The advantages of information technology in the education has developed a lot, especially in universities. An example of the application of tertiary level information technology is the delivery of information presented through the university's official website. One of the web-based systems owned by the STTI Tanjungpinang is the Sistem Informasi Kerja Praktek dan Skripsi (SKKP). With this technology, the process of submitting titles to the registration of practical work trials and student theses has been switched online. Analysis of the level of satisfaction is important to know the extent of expectations and perceptions of system users in an effort to achieve the perfection of an information system and can meet user expectations. One method in analyzing user satisfaction levels is end user computing satisfaction (EUCS). Dimensions in EUCS consist of content, accuracy, format, ease of use and timeliness. This type of research is descriptive research that is intended to describe the phenomena that exist, which took place at this time or in the past. Data collection methods included observation, interviews and distribution of questionnaires with a sample of 35 respondents who were active SKKP users. The results of the analysis of user satisfaction level SKKP STTI Tanjungpinang using the EUCS method of 78.69% with a gap of 21.31% means users are in the range of satisfied categories. From the five dimensions, the variable content has the smallest gap of 8.69% while the largest gap is in the accuracy variable, which is 32.02%.</p> Nanny Raras Setyoningrum ##submission.copyrightStatement## Thu, 13 Feb 2020 04:20:17 +0000 Sistem Informasi Peminjaman Laboratorium pada Cross-Platform dengan Metode Prototyping (Studi Kasus: Politeknik Caltex Riau) <p>The Laboratory information system is one of the information systems that was built by the BSTI of Polytechnic Caltex Riau to provide information about laboratory lending. This system is also being intended to the person who is in charge of approving laboratory lending such as the head of the laboratory, and laboratory assistant in case of monitoring some of the laboratories that are lent. However, the features provided by this information system are not enough to support the process of laboratory lending. Therefore, a mobile application with the quality of Cross-Platform was built, in other words, it can be used on iOS and Android platforms. One of the technologies that can be used to build a cross-platform application is the React Native. This application was built with a prototype method that is used to get more perspective points from users with interviews and can simplify the development of this application to be effective. This application was developed with Laravel, Firebase Authentication, and MySQL. Because there are several problems with the old system, an application that offers several solutions consists of avasisten instruktur laboratoriumbility in the lending laboratory, receiving legal paper of laboratory lending, and receiving notification were developed in this study. The main feature provided in this application is the evidence letter of laboratory lending that doesn’t have to be printed so that can reduce paper usage. As a result, 94.1% of respondents stated that this application’s features can run well and make it easy for college students to propose laboratory lending.</p> Leony Veronica Wijaya, Shumaya Resty Ramadhani ##submission.copyrightStatement## Wed, 01 Apr 2020 03:00:49 +0000