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Pelatihan Pembuatan Toko Online Berbasis Marketplace untuk Pemberdayaan Ibu Rumah Tangga Khaerul Anam; Martanto; Azzahra Moudy Fajria; Bagus Hermawan
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 04 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

This community service program aims to empower housewives through the creation and management of online stores based on marketplaces. This activity is motivated by the great potential of e-commerce in providing time flexibility and additional economic opportunities for housewives. The implementation method includes intensive training on online store creation, product management, digital marketing, and customer service. As a result, participants are able to create their own online stores and manage their operations well. This program provides a practical solution for housewives to increase income and economic independence. Further assistance and program expansion are recommended to reach more participants.
K-Means Algorithm for Clustering High-Achieving Student at Madrasah Tsanawiyah Yami Waled Muhammad Hilman; Martanto; Dikananda, Arif Rinaldi; Rifai, Ahmad
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 3 (2025): June 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i3.771

Abstract

This study aims to apply the K-Means algorithm to cluster students based on their mathematics grades at Madrasah Tsanawiyah Islamiyyah Yami Waled. By categorizing students into clusters of low, medium, and high academic achievement, the institution can develop more effective and targeted learning strategies. The data consisted of semester mathematics grades from 112 students, analyzed using the K-Means clustering algorithm. Clusters were evaluated using the Davies-Bouldin Index (DBI), with results showing three distinct clusters: Cluster 0 (low achievers, 54 students), Cluster 1 (medium achievers, 37 students), and Cluster 2 (high achievers, 21 students). The DBI score of 0.893 indicates good clustering quality, providing valuable insights for personalized learning approaches.
Optimization of Kebaya Product Grouping Using K-Means Algorithm for Marketing Strategy of Rental Services at Gifaattire Store Nuraeni; Martanto; Dikananda, Arif Rinaldi; Rifai, Ahmad
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 3 (2025): June 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i3.776

Abstract

This study aims to implement the K-Means algorithm to improve the kebaya clustering model to support the rental marketing strategy at Gifaattire Store. The K-Means algorithm was used to analyze eight months of historical kebaya rental data, focusing on the attributes of kebaya type and color. Using the Knowledge Discovery in Database (KDD) approach, the research conducted data selection, preprocessing, transformation, data mining, and evaluation of clustering results. Davies-Bouldin Index (DBI) was utilized to assess the quality of clustering, resulting in an optimal value of 6 clusters with a DBI of 0.580. The results showed that each cluster has unique characteristics that reflect customer demand patterns. Cluster 0, the largest cluster, indicates kebayas with high demand but limited color variations. In contrast, Cluster 1 indicates kebayas with a wide variety of colors but specific demand. This information enables Gifaattire Store to design more targeted data-driven marketing strategies and improve stock management efficiency. The research contributes to the development of literature on the application of K-Means in the fashion rental sector and offers practical insights into understanding customer preferences.
The Relationship Between Personal Protective Equipment Use and Reduction in Workplace Injuries Venny Yusiana; Muchlisinalahuddin; Martanto; Fandel Maluw; Daisy Debora Grace Pangemanan
Miracle Journal Get Press Vol 2 No 2 (2025): May, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/mgj.v2i2.126

Abstract

This study investigates the relationship between the use of Personal Protective Equipment (PPE) and the reduction of workplace injuries among workers at PT X. Using a quantitative research design with a pre-test and post-test survey approach, data were collected from 110 respondents selected through purposive sampling. The results demonstrated a significant decrease in workplace injuries after the implementation of PPE, with the average injury score dropping from 2.27 before PPE use to 1.50 after PPE use (p-value = 0.000). These findings indicate that the use of PPE is highly effective in reducing both the frequency and severity of workplace injuries. Factors such as worker discipline, awareness, and knowledge significantly influence the effectiveness of PPE use. The study concludes that consistent and proper use of PPE, supported by worker education and the availability of quality equipment, can substantially enhance workplace safety and reduce occupational health risks.