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All Journal Journal of Informatics, Electrical and Electronics Engineering Media Riset Bisnis Ekonomi Sains dan Terapan
Eddy Soeryanto Soegoto
Universitas Komputer Indonesia, Bandung
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Other

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INTEROPERABILITAS SISTEM SYARIAH DALAM PELAYANAN RUMAH SAKIT: PENDEKATAN MANAJERIAL UNTUK PENINGKATAN KUALITAS LAYANAN DAN EFISIENSI OPERASIONAL Mulyadi Muchtiar; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Adam Mukharil Bachtiar; Irfan Dwiguna Sumitra
Media Riset Bisnis Ekonomi Sains dan Terapan Vol 5, No 2 (2026): Media Riset Bisnis Ekonomi Sains dan Terapan
Publisher : Taksasila Edukasi Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71312/mrbest.v5i2.831

Abstract

JKN demands cost-efficiency while syariah hospitals must uphold Islamic values consistently.  Interoperable syariah systems in INA-CBGs-based JKN hospitals are examined for their influence on managerial practice, service quality, and operational efficiency. This research using a mixed-method, multi-case study in private Type B and C syariah hospitals. Syariah interoperability is operationalized as the alignment of syariah values and policies, governance, and hospital information systems with clinical and administrative processes, measured through Likert-scale surveys and qualitative analysis of open-ended responses and documents. Syariah values, policy frameworks, integration of MUKISI/DSN-MUI standards, managerial practices, service quality, and efficiency are all rated high, and efficiency initiatives are not perceived to erode syariah compliance. Nonetheless, JKN’s prospective payment generates tensions between cost containment and justice for the poor in high-cost cases, so strong syariah interoperability and data-driven management improve Islamic service quality and efficiency but cannot fully resolve conflicts with maqashid al-syariah.Keywords: Sariah hospital interoperability, Hospital management, JKN national health insurance, Service quality, Operational efficiency
Analisis Pengembangan Startup SmartWaste AI Berbasis Internet of Things dan Artificial Intelligence Menggunakan Pendekatan Mixed Methods untuk Mendukung Smart City Berkelanjutan Sri Titi Handayani; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i4.3313

Abstract

Population growth, urbanization, and economic activities have continuously increased the volume of municipal solid waste each year, while conventional waste management systems have not been able to cope with these growing challenges. Waste bin capacity monitoring is still largely conducted manually, resulting in delays in waste collection, waste accumulation, inefficient fleet utilization, and limited use of data to support decision-making. In addition, there is no integrated system that combines real-time monitoring, data analytics, and waste volume prediction to enable more effective waste management. This study aims to analyze the current condition of waste management, identify the potential application of the Internet of Things (IoT) and Artificial Intelligence (AI), and examine the development of the SmartWaste AI startup as an intelligent waste management solution to support sustainable Smart City initiatives. The research employed a mixed methods approach using an explanatory-descriptive design. Data were collected through in-depth interviews, observations, and documentation, and subsequently analyzed using the Miles, Huberman, and Saldaña interactive analysis model, complemented by a business feasibility analysis. The results indicate that the waste management system handles approximately 75 tons of waste per month, with major challenges including increasing waste volume, limited monitoring systems, and low community participation in waste segregation. The implementation of IoT has the potential to reduce waste collection delays by up to 50% and prevent approximately three waste accumulation incidents per month, while AI is capable of predicting waste volume with an accuracy exceeding 80%. The integration of these technologies through the SmartWaste AI startup is estimated to improve operational efficiency by 27.5%, reduce waste accumulation, accelerate service delivery, and support the realization of a cleaner, smarter, and more sustainable Smart City. Therefore, SmartWaste AI has the potential to become a strategic innovation in the digital transformation of waste management systems in Indonesia.
Co-Authors Adam Mukharil Bachtiar Irfan Dwiguna Sumitra Mulyadi Muchtiar Rahma Wahdiniwaty Sri Titi Handayani Tri Utomo Wiganarto