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All Journal Indonesian Journal of Informatic Research and Software Engineering Jurnal AbdiMU INTERNAL (Information System Journal)
Miki Wijana
Universitas Ma’soem
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Other

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Analisis Produk Terlaris Menggunakan Metode K-Means Clustering Pada Toko Distro Engkus : Analysis of Best Selling Product Using The K-Means Clustering Method at Distro Engkus Store Sofia Dewi; Miki Wijana; Asep Saepuloh
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 6 No. 1 (2026): Indonesian Journal of Informatic Research and Software Engineering (IJIRSE)
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v6i1.2377

Abstract

Penelitian ini bertujuan mengatasi masalah Distro Engkus dalam menentukan produk terlaris dan kurang laris secara manual, yang rawan kesalahan dalam pengambilan keputusan pengadaan barang dan pengelolaan stok. Oleh karena itu, diterapkan algoritma K-Means Clustering untuk menganalisis data produk dengan variabel Stok Awal, Stok Terjual, dan Stok Akhir. K-Means digunakan untuk mengelompokkan produk ke dalam tiga kategori: sangat laris, laris, dan kurang laris. Kebaruan penelitian ini terletak pada pemilihan variabel clustering yang secara langsung bertujuan menyelesaikan masalah manajemen inventaris dan bukan segmentasi pelanggan. Temuan menunjukkan bahwa penerapan K-Means efektif dalam mengelompokkan produk secara objektif dan efisien. Hasil validasi internal menggunakan Davies-Bouldin Index (DBI) menunjukkan nilai 0,392 mengindikasikan kualitas clustering yang baik. Penggunaan RapidMiner mendukung manajemen dalam mengambil keputusan strategis yang lebih cepat dan akurat, terutama dalam pengadaan dan pengelolaan persediaan
Pemberdayaan Masyarakat Berbasis Potensi Lokal melalui Pelatihan Produksi dan Pemasaran Dodol Labu Siam Miki Wijana; Mochamad Rifky Wijaya Wijaya; Yuli Nurholiza Nurholiza; Rindi Antika
Jurnal AbdiMU (Pengabdian kepada Masyarakat) Vol. 6 No. 1 (2026): Mei
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/abdimu.v6i1.1596

Abstract

This Community Service (PKM) was conducted in Tenjolaya Village with the aim of enhancing the community’s skills in processing local agricultural products, particularly chayote, into value-added food products such as dodol labu siam (chayote dodol). The main problems faced by the local community include limited knowledge of hygienic production techniques, attractive and standardized packaging, as well as modern digital marketing strategies. Using a community-based training approach, the program was carried out in several stages, including needs assessment, material design, training in production and packaging, online marketing training, and monitoring and evaluation. The results show that participants successfully improved their skills in producing higher quality dodol labu siam, designing more modern and appealing product packaging, and utilizing social media and e-commerce platforms to expand market reach. This program also had a positive impact on motivating the community to develop local-based businesses and strengthen product competitiveness in the digital era. Therefore, this PKM initiative contributed to empowering the village economy through local food product innovation and the digital transformation of micro, small, and medium enterprises (MSMEs).
Aplikasi Sistem Pendukung Keputusan Menentukan Siswa Terbaik Menggunakan Metode SAW Miki Wijana; Ryan Cahya Gumelar; Rian Dwicahya Supriatman; Yusuf Muhyidin
INTERNAL (Information System Journal) Vol. 7 No. 1 (2024)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v7i1.973

Abstract

The research conducted aims to develop a website-based decision support system application that can determine the best students using the Simple Additive Weighting (SAW) Method and developed with the Rapid Application Development (RAD) method. The SAW method was chosen for its simplicity and its ability to accommodate various assessment criteria, including academic grades, attendance, extracurricular participation, and student achievement. The RAD method was used in the development of the system to ensure a rapid development cycle and flexibility in adjusting user needs. The results show that the developed application is able to provide objective and transparent assessment, and simplify the process of determining the best students efficiently. The system also improves accessibility and accuracy in managing assessment data, reduces manual errors, and speeds up decision making. User testing and evaluation showed a high level of satisfaction, with recommendations for additional feature development in the future.
Co-Authors Asep Saepuloh Mochamad Rifky Wijaya Wijaya Muhyidin, Yusuf Rian Dwicahya Supriatman Rindi Antika Ryan Cahya Gumelar Sofia Dewi Yuli Nurholiza Nurholiza