Sri Widiyanesti
Distance Learning Master of Management Study Program, School of Economics and Business, Telkom University, Indonesia

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Analysis of the Utilization of Online Product Registration Services ASROT BPOM by Traditional Medicines SME’s PPJAI Members Through the Technology Acceptance Model (TAM) Approach in the Working Area of the BPOM Banyumas Winanto Winanto; 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.v4i02.833

Abstract

This research will attempt to evaluate the degree of acceptance of the application of e-registration of traditional medicines and food supplements, otherwise known as the ASROT application, through the Indonesian Natural Herbal Medicine Association (PPJAI), with the application of the Technology Acceptance Model (TAM) approach, with the addition of the 'trust of the government' component. Digitalization of public services, such as traditional medicine registration, will increase the efficiency, transparency, and accountability of the services being rendered. However, with the adoption of the digital system, many challenges have arisen, such as adapting users to the system, the complexity involved, as well as its inability to provide users with the necessary features. This will explore the relationship of Perceived Usefulness (PU), Perceived Ease of Use (PEOU), and Trust of the Government as seen in its impact on Attitude Towards Use (ATU), as well as its subsequent impact on Intention To Use (ITU) the application. With this, researchers will apply the use of a Quantitative method with a questionnaire as the medium through which the researchers will seek information from PPJAI members. This will allow the researcher the flexibility in terms of formulating their hypotheses that will seek to show its effect on its enjoyable use, with the addition that the ease with which the application will allow the user, as well as its reliance on the trust that the citizen gives. This will offer strategic recommendations with regard to this aspect, as researchers will seek to evaluate them. With this, researchers will offer theoretical contributions with regard to the literature being established as it relates to this aspect.
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.