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All Journal Jurnal Penelitian Sistem Informasi Jurnal Publikasi Ilmu Komputer dan Multimedia
Dwi Fitri Rahayu
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Computer Science & IT Decision Sciences, Operations Research & Management

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Sistem Pendukung Keputusan Pemilihan Susu Formula pada Balita Menggunakan Metode Simple Additive Weighting (SAW) Dwi Fitri Rahayu; Elisa Br Sembiring; Harninda Br Keliat; Safrizal Safrizal
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 3 No. 1 (2025): JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v3i1.2991

Abstract

Formula milk is packed with essential nutrients. It contains beneficial components such as carbohydrates, proteins, fats, vitamins, sodium, DHA, and more. High-quality formula milk should not lead to gastrointestinal issues such as diarrhea, vomiting, or problems with digestion, nor should it cause coughing, breathing difficulties, or skin reactions due to an incorrect formula choice. This research aims to explore how mothers select suitable formula milk for their babies. The study utilizes the SIMPLE ADDITIVE WEIGHTING (SAW) method to determine alternative options based on pre-assigned weights and criteria. Following this, the ranking method is applied to identify the best alternative. According to the findings, five alternatives were evaluated: MORINAGA CHIL KID, LACTOGEN, SGM, BEBELOVE, and NUTRIBABY ROYAL 1. Additionally, five criteria were considered: Milk Price, Safety (Bpom Certification, Halal, etc.), Nutritional Content (Protein, Calcium, Iron, Vitamins, etc.), Taste (Natural Sweetness, Vanilla, Honey), and Market Availability.
Pengelompokan Data Warga Dalam Pengurusan Surat Keterangan Berdasarkan Tujuan Dengan Menggunakan Metode Clustering: Desa Perkebunan Bandar Telu Dwi Fitri Rahayu; Akim Manoar Hara Pardede; Suci Ramadani
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 3 (2025): September: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i3.5203

Abstract

Perkebunan Bandar Telu Village, located in Salapian Subdistrict, Langkat Regency, is an area with high administrative activity, particularly regarding requests for various types of official letters such as business certificates, poverty certificates, and domicile certificates. Currently, the request documentation process is handled manually using physical record books, which causes the collected data to remain underutilized and merely archived. This study aims to cluster citizen data based on the purpose of the certificate requests to support informed decision-making by the village administration. The method applied is data mining using the K-Means clustering algorithm, and data processing was carried out using Matlab software. The results identified three primary clusters: Cluster 1 consists of citizens aged 46–59, mainly housewives, requesting poverty certificates (192 data points); Cluster 2 includes citizens aged 17–25, primarily students, requesting marriage certificates (201 data points); and Cluster 3 consists of citizens aged 26–45, also mostly housewives, requesting business licenses (217 data points). These findings provide actionable insights that can be used to prioritize public services, design targeted policies, and improve administrative efficiency in Perkebunan Bandar Telu Village.
Co-Authors Akim Manoar Hara Pardede Elisa Br Sembiring Harninda Br Keliat Ramadani, Suci Safrizal Safrizal