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All Journal IMAGE Journal of Animation & Games Studies Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal Manajemen Indonesia Jurnal Mitra Manajemen Almana : Jurnal Manajemen dan Bisnis Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang BERNAS: Jurnal Pengabdian Kepada Masyarakat International Journal Of Science, Technology & Management (IJSTM) Jurnal Offshore: Oil, Production Facilities, and Renewable Energy KEYNESIA : INTERNATIONAL JOURNAL OF ECONOMY AND BUSINESS Asean International Journal of Business The Eastasouth Management and Business eProceedings of Management Adpebi Science Series In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Jurnal Digital Bisnis, Modal Manusia, Marketing, Entrepreneurship, Finance, & Strategi Bisnis Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika
Sri Widiyanesti
Telkom University
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Optimizing Food Distribution Facility Inspections in the Archipelagic Working Area of Loka Pom Tanimbar Through Geographic Information Systems and Social Network Analysis Anton Dwi Nurcahyo; Sri Widiyanesti
The Eastasouth Management and Business Vol. 4 No. 02 (2026): The Eastasouth Management and Business (ESMB)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esmb.v4i02.839

Abstract

The geographic conditions of the archipelagic region within the working area of Loka POM Tanimbar, combined with limited access to transportation and infrastructure, have led to uneven coverage in food distribution facility inspections. Data from these inspections reveal that the risk to food safety remains relatively high, as supervision has not been fully risk-based or regionally targeted. As such, optimizing inspections is crucial for improving business compliance with regulations and enhancing public protection. This study aims to identify the vulnerability profile of non-compliant food distribution facilities at the sub-district level, analyze the characteristics of the inspection network, and provide actionable recommendations for optimizing food distribution facility inspections through spatial and social network analysis. Using a descriptive quantitative method and Geographic Information System (GIS) approach with QGIS, along with the SIPT database from BPOM, spatial analysis through Hot Spot Analysis (Getis-Ord Gi*) and Global Moran's I in ArcGIS identified patterns of vulnerability in food distribution. Social Network Analysis with Gephi assessed the inspection network structure. The results showed that inspections were focused in administrative and economic centers like Tanimbar Selatan and Moa Lakor, with 13 sub-districts remaining unreached, creating blind spots for non-compliant food circulation. Expired products were the predominant issue, indicating poor stock management and internal control among business operators. Spatial analysis pinpointed Tanimbar Selatan as a high-risk hotspot, while network analysis revealed a centralized inspection structure lacking horizontal connectivity between regions. The study's main contribution is recommending a spatial- and risk-based inspection strategy that is adaptive to the unique geographical challenges of archipelagic regions, emphasizing horizontal connectivity, sub-district clustering, and integrating GIS and social network analysis for adaptive, data-driven, and sustainable supervision.
Literature Review : How to Examine the Mediating Factor of Government Role in Renewable Energy Adoption Indri Haryani; Sri Widiyanesti; Aida Fauzia Rahmatika; Dryasmara Kusumastuty; Hendri Bhirowo; Fefria Tanbar
Jurnal Offshore: Oil, Production Facilities and Renewable Energy Vol. 8 No. 2 (2024): Jurnal Offshore: Oil, Production Facilities and Renewable Energy
Publisher : Universitas Proklamasi 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jo.v8i2.2026

Abstract

Indonesia is a blessed country with abundant renewable resources and the potential to manufacture up to 419 GWh of clean electricity for its people. The government plays a crucial role in shaping and nurturing the proper environment to support RE adoption and transition toward a sustainable economy. Various tools and dimensions are available to observe the government's role in accelerating RE adoption. However, studies show that the metrics used to examine Indonesia’s government regarding RE adoption are lacking. This provides an opportunity to improve the metrics by referring to countries worldwide that show success in the particular research field. The current study aims to address the challenge by presenting a literature review of studies on the government's role in RE adoption and extracting insight to develop improved metrics for examining Indonesia’s government's role in RE adoption. Furthermore, we use data mining to visualize the research map of the current topic to provide an understanding of which areas are underexplored. Thus, future studies can refer to the results to contribute further to the literature.
Enhancing Retail Store Layout for Impulsive Buying Using Market Basket Analysis and the Apriori Algorithm Sri Widiyanesti; Muhammad Naufal Hakim; Nur Syamsiyah; Yogia Mugi Dirohmat
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Vol. 11 No. 1 (2025): April 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v11i1.4228

Abstract

Retail serves as a crucial element in connecting product to end-customer. Accordingly, product assortment and placement are key factors in enhancing a store’s attractiveness and promote convenience shopping. Therefore, customizing retail store layout must abide with customer behaviour. Market basket analysis (MBA) and association rule is the common framework to understand customer behaviour through historical transaction data. Yet, it can be extended to inform store layout improvement based on buying patterns. The current study aims to unveil customer buying pattern through MBA and association rules, then, use the collected insights to propose a new store layout design. We employed the Apriori algorithm to extract itemset relationships from the historical transaction data of a local convenience store brand. Furthermore, we integrate leverage metric to strengthen rule validation, offering more reliable interpretation compared to prior studies. Our findings suggest five solid rules that became the foundation of the proposed store layout, including a notably strong relationship between snack and drink products. The proposed framework can be adopted by retail businesses to improve store layout design tailored to their customer buying pattern.
Co-Authors Aida Fauzia Rahmatika Alam, Salman Ramadan Nur Aldrin, Farhan Raditya alexander Alisya Putri Rabbani Alya Rysda Ramadhanti Alya Rysda Ramadhanti Andry Alamsyah Anton Dwi Nurcahyo Auriza Fashshalna Munawar Munawar Balqis Zulfa Azizah Dedi Iskamto Dryasmara Kusumastuty Erni Martini Eva Nurhazizah Fefria Tanbar Fetty Poerwita Sary Hanifah Aprillia, Wahyuning Hendri Bhirowo Indrawati Indrawati Indri Haryani Irwan, Yosef Dwi Letjani, Kutlo Maya Ariyanti Meidy Nurindah Hasri Milleniartha Moslem Moch Farryz Rizkilloh Mochamad Reno Reynaldi Mochamad Yudha Febrianta Muhammad Naufal Hakim Nadya Nurul Sepani Putri Nur Syamsiyah Nurcahyo, Ilham Oka Intan Rafa Syafiq Bastikarana Rafa Syafiq Bastikarana Rafii, Meindeta Muhammad Rizky Nur Ichsan Saphira, Karin Dwi Septiani, Nur Annisa Sutarman Syahrul Robbiansyah Ramadhan Winanto Winanto Yogia Mugi Dirohmat Zhakupova, Aisulu