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All Journal Jurnal Ilmu Komputer Teknika Jurnal Informatika Sinergi Telematika Jurnal Informatika dan Teknik Elektro Terapan InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal CoreIT Information Management For Educators And Professionals (IMBI) Informatika Pertanian Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Komtika (Komputasi dan Informatika) JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Inotera Jurnal Infomedia MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Sains Riset Jurnal Sosial Humaniora Sigli JTIK (Jurnal Teknik Informatika Kaputama) JOURNAL OF INFORMATICS AND COMPUTER SCIENCE G-Tech : Jurnal Teknologi Terapan Jurnal Sistem Komputer dan Informatika (JSON) Medika Teknika : Jurnal Teknik Elektromedik Indonesia Idealis : Indonesia Journal Information System International Journal of Engineering, Science and Information Technology Conten : Computer and Network Technology TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Bangun Abdimas Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Komtika (Komputasi dan Informatika)
Nurdin Nurdin
Universitas Malikussaleh
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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

 1 
Information System for Predicting Fisheries Outcomes Using Regression Algorithm Multiple Linear Nurdin Nurdin; Fajriana Fajriana; Maryana Maryana; Ama Zanati
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6023

Abstract

Bireuen is one of the regencies in Aceh province which has quite a lot of potential for marine and fishery resources, both capture fisheries and aquaculture, because some areas in this district are coastal areas supported by several fish landing bases (PPI), namely PPI Kuala Jangka, Kuala Jeumpa, Peudada, Jeunip, Pandrah, and Bate Iliek which are supporting sectors of the regional economy. The importance of this research is so that the Department of Food Security, Maritime Affairs and Fisheries can estimate the catch of fish in the coming year so that it can be used in terms of policies to increase the fishery production sector. The method used in information systems research to predict fishery results Multiple Linear Regression Algorithm using two independent variables (X), namely, the number of motorized boats (X1), the number of rainy days (X2) and one dependent variable, namely the number of fish caught (Y). ). The steps taken in this research are data collection, calculation of each variable, completion of the elimination method, substitution to get constant values, coefficients and inserting constants and coefficients into the Multiple Linear Regression equation. Based on data obtained from 2016, 1017, 2018, 2019 and 2020 using the Multiple Linear Regression algorithm, the prediction results of the Tangka fishery in Bireuen Regency in 2021 are 12,813.88 tons.
Optimization Model of Fishery Products Supply Chain Using Mixed Integer Linear Programming Method Nurdin Nurdin; Taufiq Taufiq; Bustami Bustami; Marleni Marleni; Khairuni Khairuni
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 6 No. 2 (2023): Issues January 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i2.8186

Abstract

North Aceh is one of the districts in Aceh province that has great potential in the marine and fisheries sector. Many capture fisheries resources have become superior commodities, because some parts of North Aceh are suppliers of capture fisheries products. As for the problem in this study, there are several sub-districts in North Aceh district experiencing a shortage of fishery products supply due to their location far from the coastline, causing high logistics costs for the supply chain of fishery products. Therefore, an optimization model for planning the supply chain of fishery products is needed. The purpose of this study is to create a supply chain optimization model for capture fisheries using the mixed integer linear programming method. The steps involved in this research are compiling research instruments and literature review, collecting and analyzing data, determining parameters and decision variables, formulating objective functions and model constraint functions, designing optimization models, testing and modeling simulations. This model can minimize the operational costs of the fishery product supply chain from suppliers to consumers. Testing and simulating this model using the lindo program, with the result that the maximum value of the objective function is 36 in the 15th iteration.
Comparative Analysis of State Universities on Website Performance in Aceh Using the PIECES Method Suhaili Sahibul Muna; Nurdin Nurdin; Taufiq Taufiq
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 1 (2023): Issues July 2023
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i1.9167

Abstract

Technological developments have had a rapid impact on the CIVITAS Academic environment, especially in Aceh. The website has become a major requirement for state universities (PTN) as a fast, actual and reliable information distribution medium in supporting lecture activities in the Digital Era 4.0. The purpose of this study was to obtain results from the PIECES method test on the website in terms of its effectiveness as an information distribution medium. Therefore, the presence of website performance analysis research using the PIECES method is very important in measuring website effectiveness. PIECES uses the variables Performance, Information, Economics, Control, Efficiency, and Service. The importance of this research is to provide information in analyzing the use of websites at universities (PTN) in Aceh, as well as analyzing the strengths and weaknesses of each website. The research step begins with the distribution of questionnaires on the variables Information, Economics, Efficiency, and Service responded to by respondents online. Then perform a website performance analysis using Google Page Speed Insight (GPSI) and GTMetrix online tools. In variable control, use Qualys SSL Lab and SECURi. The results showed USK Information with a value of 4.26, Economic 4.13, Efficiency 4.4, and Service 4.36. UINAR obtained 4.26 in the subject Information, Economic 4.13, Efficiency 4.3, and Service 4.36. UNIMAL obtained Information 4.26, Economic 4.23, Efficiency 4.3, and Service 4.15. UNSAM with the Information subject obtained 4.1, Economic 4.13, Efficiency 4.19 and Service 4.15 and UTU Information subject 4.24, Economic subject 4, Efficiency 4.19 and Service with a value of 4.21. The GPSI and GTMetrix tests showed significant results with the highest score of 97 UNSAM on GPSI. Results from Qualys SSL Lab and SCURi, all websites are safe to access.
Clustering Analysis to Identify Stunting Vulnerability Areas in North Aceh District Using the Fuzzy C-Means Algorithm Muhammad Ridha; Nurdin; Maryana
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.14892

Abstract

Stunting is a serious public health issue that poses a long-term threat to the quality of human resources. North Aceh Regency is one of the regions with a relatively high prevalence of stunting, requiring targeted and effective intervention strategies. This study aims to classify regions based on their level of stunting vulnerability to support data-driven decision-making. The Fuzzy C-Means (FCM) clustering algorithm was selected due to its ability to handle data with flexible membership degrees, making it suitable for complex classification tasks. The data used in this research were obtained from the North Aceh Health Office for the year 2023 and include variables such as the number of children recorded in the E-PPGBM system, newly entered children in 2023, and the percentages of stunting, wasting, and underweight across 32 subdistricts. The research process involved data collection, literature review, system design and implementation using the Python programming language, and analysis of clustering results. The findings reveal that the 32 subdistricts can be grouped into three main clusters: high vulnerability (13 subdistricts), medium vulnerability (6 subdistricts), and low vulnerability (13 subdistricts). These clusters facilitate the visualization and identification of priority areas requiring more focused stunting interventions. In conclusion, the FCM algorithm proved effective in clustering regions based on stunting-related data. The implication of this study is to provide a foundation for local governments in formulating more efficient and targeted stunting intervention strategies according to the vulnerability level of each area.
Comparison of K-Means and K-Medoids Methods in Clustering High Population Density Areas in Bireuen Regency Andri Alfitra; Nurdin, Nurdin; Meiyanti, Rini
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.15602

Abstract

This study examines the population density distribution in Bireuen Regency by applying two clustering algorithms, namely K-Means and K-Medoids, to demographic data from 2019 to 2023. Three main variables were used: total population, number of ID card holders (KTP), and number of households (KK). The clustering results identified three primary groups: very dense, dense, and not dense. Districts such as Kota Juang, Jeumpa, and Peusangan consistently fell into the very dense category, while districts like Pandrah, Gandapura, and Makmur tended to be classified as not dense. Cluster quality was evaluated using the Davies-Bouldin Index (DBI). The evaluation results showed that the K-Means algorithm performed better in most years analyzed, particularly in 2020 with the lowest DBI value of 0.3906. Meanwhile, in 2023, K-Medoids outperformed K-Means, with a DBI value of 0.7724. These findings indicate that K-Means is more effective in handling homogeneous data, whereas K-Medoids is more adaptive to data containing outliers or irregular patterns. Overall, the choice of clustering method depends on the characteristics of the data used. The results provide a spatial overview of population distribution that can support regional planning and data-driven public policy. These findings are expected to serve as a basis for more targeted and equitable regional development planning. For future research, it is recommended to expand the analysis by including additional variables such as area size and socioeconomic indicators, as well as optimizing the number of clusters using methods like the Elbow method or Silhouette Score.
Co-Authors - Miranda ., Muthmainah Adi Prasetyo Afrilia, Yesy Aidilof, Hafizh Al Kautsar Al Khaidar Alaiya, Azna Alqhifari, Azka Ama Zanati Amalia, Nova Amin Munthoha Aminsyah, Ansharulhaq Ananda Faridhatul Ulva Andri Alfitra Anggara, Aji Arnawan Hasibuan Aynun, Aynun Aynun, Nur Azzanna, Maghriza bhakti wan khaledy Bustami Bustami Bustami Bustami Cesilia, Yolinda Chaeroen Niesa Chicha Rizka Gunawan Cut Agusniar Dadang Priyanto Dahlan Abdullah Darmansyah, Arif Desky, Muhammad Aulia Dewi Astika Erni Susanti Eva Darnila Fadlisyah Fadlisyah Fadlisyah Fahrozi, Fazar Fajriana Fajriana Fajriana, Fajriana Fasdarsyah Fasdarsyah fatimah Fatimah Fikhri, Aditya Aziz Fikran, Rifzan Fikri Fikri Gavinda, Virza Ginting, Andriyan gunawan, chicha rizka Gunawan, Chichi Rizka Hafizh Al Kautsar Aidilof Hafizh Al-Kautsar Aidilof Hamdhana, Defry Herman Fithra Hermansyah Hermansyah I Made Ari Nrartha Ilyana, Anis Imanda, Nanda Intan Nuriani Isa, Muzamir Ismun Naufal Jessika, Jessika Jikti Khairina Julia Ulfah Khaidar, Al Khairina, Jikti Khairul Khairul, Khairul Khairuni Khairuni Kurnia, Sri M Farhan Aulia Barus M Rizwan M Suhendri M. Ali, Rahmadi Marleni Marleni Maryana Maryana Maryana Maryana Maryana Maryana Maryana, Maryana Maulita, Maya Maya Juwita Dewi Maysura Meriatna Meriatna Muchlis Abdul Muthalib Muhammad Daud Muhammad Faisal Muhammad fauzan Muhammad Fikry Muhammad Furqan, Muhammad Muhammad Hutomi Muhammad Iqbal Muhammad Johan Setiawan Muhammad Nasir Muhammad Riansyah Muhammad Ridha Mukti Qamal Muliana, Syarifah Munirul Ula Mutammimul Ula Muzakir Nur Nadilla Baimal Puteri NELI SUSANTI, NELI Nunsina, Nunsina Nur, Muzakir Pradita, Cindy Cika Rahmad Rahmad Rahmad Rahmat Rahmat Raihan Putri Rasyada, Reza Dian Reza, Restu Rini Meiyanti Risawandi, Risawandi Riza Mirza Rizal S.Si., M.IT, Rizal Rizki Setiawan Rizki Suwanda Rizky Putra Fhonna Rizkya, Ghinni Robi Kurniawan Rusadi, Athirah salamah salamah Salimuddin, Salimuddin Salsabila, Thifal Samudera, Brucel Duta Sapitri, Anggri Sari, Cut Jora Sayuti, Muhammad Siagian, Tania Annisa Siregar, Widyana Verawaty Sri Kurnia Suci Fitriani, Suci Suhaili Sahibul Muna Sujacka Retno Sultan, Kana Suryana, Fitra Syandriani Harahap Taufik Taufik Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Taufiq Uci Mutiara Putri Nasution Ulva Fitriani Wahdana, Aldi Wan, Syahputra Wawan Wawan Yani, Muhamamd Yeni Yeni Yesy Afrilia Yesy Afrillia Yulisda, Desvina Zahrah, Violita Aditya Zahratul Fitri Zahratul Fitri, Zahratul Zalfie Ardian Zara Yunizar Zuraida Zuraida