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All Journal Jurnal Sains dan Seni ITS IPTEK Journal of Proceedings Series Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Variance : Journal of Statistics and Its Applications Jurnal Pengabdian Masyarakat Indonesia Leibniz: Jurnal Matematika Malcom: Indonesian Journal of Machine Learning and Computer Science
Jauhara Rana Budiani, Jauhara Rana
Program Studi Statistika, Fakultas Sains Dan Teknologi, Universitas Nahdlatul Ulama Sunan Giri, Indonesia
Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Analysis and Modeling of Population Administration Information System Business Processes Using BPI and BPMN Sa'adah, Nihayatus; Alawi, Zakky; Budiani, Jauhara Rana
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 4 (2026): MALCOM October 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i4.3002

Abstract

Population administration services are a form of public service that requires effective, efficient processes to deliver optimal services to the community. However, in practice, several obstacles persist, including data re-entry, discrepancies between physical documents and system data, and continued reliance on manual processes, which contribute to service delays. This study aims to analyze and improve the business process of population administration services in the Population Administration Information System (SIAK) at the Population and Civil Registration Office of Bojonegoro Regency using the Business Process Improvement (BPI) and Business Process Model and Notation (BPMN) methods. Data were collected through observations and interviews with sub-district operators and Disdukcapil officers to understand the existing process flow. The analysis was conducted through As-Is process modeling, bottleneck identification, value-added and non-value-added activity analysis, and the design of a To-Be process model as the proposed improvement. The results showed that the main bottlenecks were data re-entry activities and dependence on manual processes, which increased service time. The proposed improvements simplified the service flow, reduced non-value-added activities, and ultimately improved overall process efficiency. Based on the measurement results, service processing time decreased from 55 minutes to 38 minutes, resulting in a 30.9% improvement in efficiency.
Co-Authors Afril Efan Pajri Afthoni, Akhmad Faiz Riza Alawi, Zakky Arifat, Muhammad Eddy S. Soedjono Fahmi Khumaini Hakim, Fernanda Amri Huda, Tisa Dwi Julianti Ifnu Wisma Dwi Prastya Kartini, Alif Yuanita Nur Mahmudah Nur Mahmudah Purhadi Purhadi Sa'adah, Nihayatus Sabar, Rohmat Abidin Sahri Sahri Setiawan Setiawan Soedarso Soedarso Sutikno Sutikno Syaifudin Malik Tantra Pratama Hendarsyah Zahrotul Aqiyyah