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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Information Systems and Informatics
Benny Firmansyah
Institut Teknologi Bandung
Computer Science & IT Electrical & Electronics Engineering

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Analysis of Using Google Maps Data to Measure the Presence or Accessibility of Urban Facilities for BPS - Statistics Indonesia Classification of Urban and Rural Villages Benny Firmansyah; Widya Sri Wahyuni
Journal of Information System and Informatics Vol 4 No 4 (2022): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v4i4.337

Abstract

The BPS - Statistics Indonesia classifies villages into urban villages and rural villages to organize statistics. The classification of village areas into urban or rural status is intended to form a stratum used in survey sampling techniques. With this status, it is hoped that the sample taken can represent the entire population well. The BPS - Statistics Indonesia establishes criteria for classifying a village into an urban village. The 2020 urban village criteria use three indicators as its measure, namely: population density per km2, percentage of agricultural families, and the presence or access of urban facilities. In general, the data used in calculating the classification of urban and rural villages in 2020 uses data from the 2019 Village Potential (Podes) survey. This study utilizes data on urban facilities such as schools, markets, shops, and hospitals on the google maps website to calculate the score of indicators of the existence or access of urban facilities. This study used a web scraping method to obtain data on these urban facilities from the google maps website. This study selected eight villages in the Lubuk Sikaping District, Pasaman Regency, West Sumatra Province, as a case study. The results showed that four villages with great potential were classified into urban villages, and three villages with great potential were classified into rural villages.
Generic Solution Architecture Design of Regulatory Technology (RegTech) Benny Firmansyah; Arry Akhmad Arman
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 2: June 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i2.4533

Abstract

Regulatory Technology, or RegTech, uses new technology that assists the financial industry, such as FinTech and banks, in meeting regulatory compliance. RegTech automates various regulatory compliance activities that were previously manual, such as regulatory interpretation and regulatory reporting, amidst the challenges of the increasing volume of regulations and operational data. Some cutting-edge technologies discovered at RegTech include big data analytics, artificial intelligence, machine learning, robotic process automation, and cloud computing. Although very dominant in the financial industry, RegTech solutions have the potential to be applied in other regulated industries besides finance. Several studies have explored the potential for applying RegTech in industries other than finance, such as charitable organizations, real estate marketplace, pharmaceuticals, and healthcare. Therefore, this study aims to design a generic RegTech solution architecture so that it can be adopted and applied in various regulated industries achieve regulatory compliance more efficiently. Based on the evaluation results, the proposed architecture can be applied in an industrial environment other than financial to be considered generic. Furthermore, an evaluation of the comparison of regulatory compliance business processes without and by implementing RegTech can produce a time efficiency of 95.16%. These results show that RegTech solutions can achieve regulatory compliance more efficiently.
Co-Authors Arry Akhmad Arman Widya Sri Wahyuni