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All Journal Jurnal Media Infotama Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Intelek Insan Cendikia Jurnal Teknik Informatika dan Teknologi Informasi
Muhammad Yasin
Universitas Asahan
Religion Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Penerapan Data mining untuk Clustering Kondisi Sosial Ekonomi Berdasarkan Kepemilikan Jaminan Kesehatan Menggunakan Algoritma K-Means Rika Sari; Muhammad Yasin
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6082

Abstract

This study discusses the application of the K-Means Clustering algorithm in analyzing the socioeconomic conditions of communities in North Sumatra Province based on health insurance coverage. The background of this study stems from the continuing gap in access to and coverage of health insurance, which is influenced by differences in socioeconomic conditions between regions. The purpose of this study is to identify community groups with different patterns of health insurance ownership, analyze their influence on socioeconomic conditions, and explain the application of the K-Means algorithm as a data clustering method. The data used was obtained from the North Sumatra Provincial Statistics Agency (BPS) for the 2021–2023 period, with variables including BPJS Health Insurance Premium Assistance Recipients, BPJS Health Insurance Non-Premium Assistance Recipients, Private Insurance, and Insurance from Companies/Offices. The analysis process was carried out through the stages of variable selection, initial centroid determination, distance calculation using Euclidean Distance, and iteration. The results of the study show that there are two main clusters, namely clusters with high health insurance ownership rates and clusters with low ownership rates. In terms of the BPJS Health Insurance Variable for Contribution Assistance Recipients, the cities of Medan, Samosir, Tanjungbalai, Asahan, Batu Bara, Binjai, and Toba are included in the high cluster, while Deli Serdang is in the low cluster. These findings are expected to provide an overview for local governments in formulating policies to improve access to health insurance in a more targeted and data-driven manner.
Implementasi Metode Learning Vector Quantization (LVQ) untuk Klasifikasi Jumlah Penduduk Menurut Jenis Kelamin dan Kabupaten di Sumatera Utara Nur Saida; Muhammad Yasin
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6083

Abstract

North Sumatra Province has a large population and is spread across various districts, so an effective system is needed to manage and analyze population data. This research aims to implement the Learning Vector Quantization (LVQ) method in classifying population based on gender and district in North Sumatra. The LVQ method was chosen because of its ability to perform classification based on supervised learning that utilizes vector prototypes. The data used is sourced from the Central Bureau of Statistics (BPS) of North Sumatra in 2022 and analyzed using customized parameters in RapidMiner software. This research involves several stages, starting from data collection, UML-based system design, variable selection, to the application and testing of classification models. The results showed that the LVQ method was able to classify the population based on gender and district accurately and efficiently. It is expected that this classification system can be the basis for decision-making in regional development planning and accelerate government programs related to population distribution.
Pengaplikasian Algoritma C4.5 untuk Menganalisis Hubungan Kebiasaan Harian Siswa terhadap Prestasi Akademik Muhammad Zikri Ansyari; Muhammad Yasin
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6364

Abstract

This study aims to analyze the relationship between students’ daily habits and their academic performance using the C4.5 algorithm. The daily habit variables examined include study duration and intensity, sleep quality and patterns, frequency and type of gadget use, attendance consistency, and students’ engagement in learning activities both inside and outside the classroom. The data were collected through questionnaires and combined with students’ academic grades as indicators of performance. The C4.5 algorithm was employed to construct a decision tree model capable of identifying the daily habit attributes that have the most significant influence on academic achievement. The findings reveal that study intensity, sleep quality, and attendance consistency serve as dominant factors in predicting students’ performance levels. Furthermore, the resulting decision tree model demonstrates a relatively high accuracy level, making it a useful tool for evaluation, student development planning, and decision-making processes by educators. These results confirm that the application of the C4.5 algorithm is effective in uncovering the relationship patterns between daily habits and academic achievement and has the potential to serve as a reference for efforts to improve students’ learning quality.
Sistem Informasi Pendaftaran Peserta Didik Baru (PPDB) Berbasis Web Di UPT SD NEGERI 18 Guntung Nabila Nabila; Muhammad Yasin
Jurnal Intelek Insan Cendikia Vol. 3 No. 1 (2026): JANUARI 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Sistem Informasi Pendaftaran Peserta Didik Baru (PPDB) berbasis web ini dikembangkan untuk meningkatkan efektivitas dan efisiensi proses penerimaan siswa baru di UPT SD Negeri 18 Guntung. pendaftaran yang sebelumnya dilakukan secara manual menimbulkan kendala, seperti keterlambatan pengolahan data, kesalahan pencatatan, data calon peserta didik. Oleh karena itu, dibangun sebuah sistem informasi berbasis web yang mampu mengelola proses pendaftaran Sistem ini memiliki fitur utama meliputi pendaftaran online calon peserta didik, pengelolaan data siswa, verifikasi berkas, pengumuman hasil seleksi, serta manajemen pengguna oleh admin. Dengan adanya sistem ini, proses pendaftaran menjadi lebih cepat, mudah, dan akurat, serta dapat diakses kapan saja oleh calon peserta didik maupun pihak sekolah. Sistem dibangun menggunakan bahasa pemrograman PHP dengan basis data MySQL serta didukung antarmuka berbasis HTML, CSS, dan JavaScript agar mudah digunakan oleh pengguna. Penerapan sistem informasi PPDB ini diharapkan dapat meningkatkan kualitas pelayanan sekolah dalam proses penerimaan peserta didik baru.
Perancangan Sistem Informasi Pengelolaan Barang Habis Pakai Pada BKAD Kabupaten Asahan Muhammad Fakhri Fauzar; Muhammad Yasin
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 6 (2025): Desember 2025 - Januari 2026
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Pengelolaan barang habis pakai merupakan bagian penting dalam mendukung kelancaran aktivitas operasional perkantoran, khususnya pada Badan Keuangan dan Aset Daerah (BKAD) Kabupaten Asahan. Proses pengelolaan yang masih dilakukan secara manual, seperti pencatatan menggunakan buku stok dan lembar kerja spreadsheet, menimbulkan berbagai permasalahan, antara lain risiko kesalahan pencatatan, kehilangan data, ketidaksesuaian stok, serta keterlambatan dalam penyusunan laporan. Oleh karena itu, diperlukan suatu sistem informasi yang mampu mengelola persediaan barang habis pakai secara lebih efektif dan efisien. Penelitian ini bertujuan untuk menganalisis sistem pengelolaan barang habis pakai yang berjalan di BKAD Kabupaten Asahan serta merancang sistem informasi pengelolaan barang habis pakai berbasis web
Implementasi Freeradius Berbasis Web Untuk Otomatisasi Manajemen Layanan Internet: Autentikasi, Pembatasan Masa Aktif Dan Isolasi Pelanggan ISP Khairul Badri; Muhammad Yasin
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9439

Abstract

Sistem manajemen layanan internet yang efisien sangat penting bagi penyedia layanan internet (ISP), khususnya dalam aspek autentikasi pengguna, pengelolaan masa aktif layanan, dan isolasi pelanggan yang tidak aktif. Penelitian ini bertujuan untuk mengimplementasikan sistem FreeRADIUS berbasis web guna mengotomatisasi proses-proses tersebut. FreeRADIUS dipilih karena bersifat open source dan memiliki fleksibilitas tinggi untuk diintegrasikan dengan sistem manajemen pengguna. Metode penelitian yang digunakan adalah metode campuran (mixed method), dengan pendekatan kualitatif melalui observasi sistem eksisting dan pendekatan kuantitatif melalui pengujian teknis terhadap autentikasi, pembatasan masa aktif, serta mekanisme isolasi pelanggan. Implementasi dilakukan di lingkungan PT Indomedia Solusi Net sebagai studi kasus. Hasil implementasi menunjukkan bahwa sistem FreeRADIUS berbasis web mampu melakukan autentikasi pengguna secara otomatis, menghentikan akses saat masa aktif berakhir, serta mengarahkan pengguna yang terisolasi ke halaman informasi. Sistem ini juga memberikan kemudahan bagi administrator dalam memantau dan mengelola pengguna melalui antarmuka web.
Co-Authors Khairul Badri Muhammad Fakhri Fauzar Muhammad Zikri Ansyari Nabila Nabila Nur Saida Rika Sari