Journal of Information Technology and Its Utilization <p>Journal of Information Technology and Its Utilization (JITU) is a biannual peer-reviewed journal that aims to explore scientific developments in the field of information technology its utilization, including Data Mining, IoT, Artificial Intelligence, Digital Processing, and Information Systems. From 2022, The journal is published by MMTC Yogyakarta, Ministry of Information and Communication Technology, Republic of Indonesia.</p> <p>JITU is publishied twice a year in June and December. Editors receive manuscripts at any time. Submitting and Publishing paper in JITU is<strong> free of charge</strong>. All issuance costs are borne by the publisher.</p> <p>JITU has been indexing in Science and Technology Index of Indonesia (SINTA) since Vol 1 No. 1 2018 (4th Rank). Aaccreditation certificate issued with No. /2020</p> <p><strong>FIND US ON : <a href="!" target="_blank" rel="noopener">SINTA</a> | <a href="" target="_blank" rel="noopener">Google Schoolar</a> | <a href="" target="_blank" rel="noopener">GARUDA</a> | <a href="" target="_blank" rel="noopener">NELITI</a></strong><img src="" alt="" /></p> en-US <h4><span id="result_box" lang="en"><span title="Kebijakan yang diajukan untuk jurnal yang menawarkan akses terbuka ">The proposed policy for journals that offer open access</span></span></h4> <p>Authors who publish with this journal agree to the following terms:</p> <ol> <li>Copyright on any article is retained by the author(s).</li> <li>Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.</li> <li>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>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.</li> <li>The article and any associated published material is distributed under the <a href="">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International</a> License</li> </ol> (JITU Journal Editor) (Mukhlis Amin) Mon, 25 Dec 2023 14:24:12 +0000 OJS 60 Optimization of K Value in Clustering Using Silhouette Score (Case Study: Mall Customers Data) <p>Clustering is an important phase in data mining. The grouping method commonly used in data mining concepts is using K-Means. Choosing the best value of k in the k-means algorithm can be difficult. In this study the technique used to determine the value of k is the silhouette score. Then, to evaluate the k-means model uses the Davies Bouldin Index (DBI) technique. The best DBI value is close to 0. The parameters used are total consumer income and spending. Based on the results of this study it can be concluded that the silhouette score method can provide a k value with optimal results. For mall customer data of 200 data, the most optimal silhouette score is obtained at K = 5 with a DBI = 0.57.</p> Heti Mulyani, Ricak Agus Setiawan, Halimil Fathi Copyright (c) 2023 Journal of Information Technology and Its Utilization Mon, 25 Dec 2023 00:00:00 +0000 Model-View-Controller Design System of Motorcycle Damage Detection Using Forward Chaining Method <p>This study aims to design a motorbike damage detection system using the forward chaining method with a view controller model that can be run on a mobile-based system. Dealers and motorbike service providers receive and fulfil customer requests for motorbike service services. Mechanics who service vehicles still use conventional methods to check vehicle damage by scanning the paper (form). There is a list of<br />vehicle damage. This method takes quite a long time, and it is not sure that the problem will be resolved quickly. The research method used is forward chaining, and the model used is the Model View Controller, which separates data from the display by processing it. The result of this research is that with a motorbike damage detection system, mechanics from dealers and service areas do not have to carry out initial checks manually but instead use a system with a view controller model and initial check results. Detection can also be determined by applying the forward chaining method. Based on functional testing of the system using a black box, valid results were found; then, for logic testing using the forward chaining method, the results were free from logical errors.</p> Rismayani Rismayani, Muhammad Wahinuddin Tahir, Muhammad Darwis, Nurani Nurani, Martina Pineng Copyright (c) 2023 Journal of Information Technology and Its Utilization Mon, 25 Dec 2023 00:00:00 +0000 Implementation of K-means Clustering Algorithm to Analyze the Familial Sentiments Towards COVID-19 Vaccination For Elementary School Students in Kalawat District <p>Due to the Ministry of Health's policy, the Indonesian government mandates the public to receive the COVID-19 vaccination as a form of immunity against the coronavirus. This vaccination is not only for adults but also for children of a certain age. Regarding the provision of vaccination for elementary school students aged between 6 to 11 years, the families' responses to this predicament can cause significant barriers to those students being fully vaccinated. Thus, this research developed a web-based application that incorporated the K-means clustering method to group the sentiments of the families into three clusters, namely positive, neutral, and negative. The results showed that the application can identify and cluster the different familial responses from 279 respondents in Kalawat District toward the administration of COVID-19 vaccination to their underage children. The most dominant familial sentiment is positive followed by neutral and negative sentiments with the number of respondents as many as 120 respondents (43%), 113 respondents (41%), and 46 respondents (16%) respectively. This research can help the Health Office in North Minahasa Regency to evaluate public sentiments about vaccination for elementary school students as well as look for better ways to encourage vaccine trust and confidence in this district.</p> Indah Kairupan, Liza Wikarsa; Audreyvia Kembuan Copyright (c) 2023 Journal of Information Technology and Its Utilization Fri, 15 Dec 2023 00:00:00 +0000 Expert System for Pest Diagnosis on Local Black Rice Plant in East Kalimantan Using the Naive Bayes Method <p>Rice plant is a food crop that produces rice as the staple food for the majority of Indonesian people. Local rice which significantly contributes to fulfill the national rice consumption is black rice produced in East Kalimantan. However, local black rice often experiences crop failure due to pest attacks and environmental factors. The amount of local black rice production also continues to decrease due to limited human resources who have the skills and knowledge to diagnose pests in black rice plants. Therefore, one effort that can be made to overcome this problem is to create an expert system that can diagnose pests and diseases in black rice plants. The expert system in this research uses the Naive Bayes method, which identifies 11 types of pests that attack black rice plants and 34 symptoms caused by these pest attacks. Naive Bayes can provide information about the percentage of pests that rice plants might experience. Based on the results of the test cases, an accuracy value of<br />80% was obtained, so the expert system built in this research can diagnose pests on black rice plants quite well.</p> Novianti Puspitasari, Anindita Septirini, Rian Bintang Paripurna, Lalu Delsi Samsumar Copyright (c) 2023 Journal of Information Technology and Its Utilization Mon, 25 Dec 2023 00:00:00 +0000 Design of Rectangular Patch Microstrip Antenna with Defected Ground Structure Method at 3.5 GHz Frequency for 5G Technology <p>5G technology is currently developing rapidly in various countries. 5G technology has three sub-frequencies: low band, midband and high band. Midband frequencies in Indonesia are between 2.6 GHz and 3.5 GHz. In order for 5G technology is able to be used in Indonesia, it needs an antenna that can work at 3.5 GHz and has a wide bandwidth. Microstrip antenna is a simple and efficient antenna. However, microstrip antenna has minimal bandwidth. To overcome this, certain methods are needed, one of which is the defected ground structure (DGS) method. The initial design of the antenna has dimensions according to the results of the calculation formula. Then optimization is carried out by reducing the dimensions of the antenna components. After that, the DGS method is applied to widen the bandwidth. The initial design of the single-patch antenna before using the DGS method has a return loss value of -19.96 dB, VSWR 1.22, with a gain value of 3.812 dB and bandwidth 105.1 MHz. The simulation results of the antenna using DGS have a return loss value of -39.76 dB, VSWR of 1.02, with a gain value 3.16 dB and a bandwidth of 158.4 MHz. These results prove that the use of the DGS method can increase bandwidth.</p> Galuh Kartikasari, Muhammad Panji Kusuma Praja, Shinta Romadhona Copyright (c) 2023 Journal of Information Technology and Its Utilization Mon, 25 Dec 2023 00:00:00 +0000