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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Intelek Dan Cendikiawan Nusantara
Muhammad Fakhri Fauzar
Universitas Asahan
Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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
Perancangan dan Implementasi Lampu Otomatis Berbasis IoT Menggunakan Aplikasi Blynk: Penelitian Daniswara; Triana Puspa Handayani; Muhammad Fakhri Fauzar; Dicky Apdilah
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.5086

Abstract

The development of Internet of Things (IoT) technology allows remote control of electrical devices via the internet network. One application is in lighting systems to improve energy efficiency and user comfort. This study aims to design and implement an IoT-based automatic lighting system using the Blynk application as a control and monitoring medium. The method used is an experimental method with an engineering approach, including the system design stage, hardware assembly, programming, integration with the Blynk application, and system testing. The main devices used are NodeMCU/ESP32, relay modules, and AC lamps. The test results show that the system is able to control the lights in real-time via a smartphone with a good response as long as the internet connection is stable. This system has proven effective in providing convenience, flexibility, and has the potential to save electricity usage, making it suitable for application as a simple smart home solution and IoT learning medium.
IMPLEMENTASI ALGORITMA K-MEANS CLUSTERING UNTUK MENGELOMPOKKAN SISWA BERDASARKAN NILAI UTS, UAS, DAN TUGAS Bambang Irwansyah; Daniswara Daniswara; Triana Puspa Handayani; Nurul Natasya; Abdul Aziz Ardana; Muhammad Fakhri Fauzar; Fajar Hardiansyah
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5758

Abstract

Abstract : This study aims to apply the K-Means Clustering method to analyze and classify students’ academic performance based on Midterm Exam (UTS), Assignments, and Final Exam (UAS) scores at SMK Swasta Kualuh. The main problem faced by the school is the difficulty of analyzing students’ score data manually as the volume of data increases, which requires a more objective and structured approach. This research uses a quantitative approach with data mining techniques through the K-Means algorithm. The data were obtained from students’ academic scores and processed through data cleaning, determination of the number of clusters, distance calculation using Euclidean Distance, and iterative clustering until stable results were achieved. The results show that students were successfully grouped into three clusters: high-performing, average-performing, and low-performing students. The application of the K-Means method provides systematic insights into students’ academic performance and can support schools in making better decisions to improve learning quality. Keywords: K-Means Clustering, Data Mining, Student Performance, Academic Scores, Web. Abstrak : Penelitian ini bertujuan untuk menerapkan metode K-Means Clustering dalam menganalisis dan mengelompokkan prestasi akademik siswa berdasarkan nilai Ujian Tengah Semester (UTS), Tugas, dan Ujian Akhir Semester (UAS) di SMK Swasta Kualuh. Permasalahan yang dihadapi sekolah adalah sulitnya melakukan analisis data nilai siswa secara manual seiring dengan meningkatnya jumlah data, sehingga diperlukan metode yang lebih objektif dan terstruktur. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik data mining menggunakan algoritma K-Means. Data yang digunakan berasal dari nilai akademik siswa yang kemudian diproses melalui tahap pembersihan data, penentuan jumlah klaster, perhitungan jarak menggunakan Euclidean Distance, serta iterasi hingga klaster stabil. Hasil penelitian menunjukkan bahwa data siswa berhasil dikelompokkan ke dalam tiga klaster, yaitu siswa berprestasi tinggi, sedang, dan rendah. Penerapan metode K-Means ini mampu membantu pihak sekolah dalam mengidentifikasi tingkat prestasi siswa secara lebih sistematis dan dapat dijadikan dasar dalam pengambilan keputusan untuk peningkatan kualitas pembelajaran. Kata kunci: K-Means Clustering, Data Mining, Prestasi Siswa, Nilai Akademik, Web.
Co-Authors Abdul Aziz Ardana Bambang Irwansyah Daniswara Daniswara Daniswara Dicky Apdilah Fajar Hardiansyah Muhammad Yasin Nurul Natasya Triana Puspa Handayani