Indonesian Integrated Village Monograph Information System

Indonesian Integrated Village Monograph Information System

  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-3
Year of Publication : 2023
Author : Luis Marnisah, Herri Setiawan, John Roni Coyanda, Ahmad Sanmorino
DOI : 10.14445/22315381/IJETT-V71I3P231

How to Cite?

Luis Marnisah, Herri Setiawan, John Roni Coyanda, Ahmad Sanmorino, "Indonesian Integrated Village Monograph Information System," International Journal of Engineering Trends and Technology, vol. 71, no. 3, pp. 303-311, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I3P231

Abstract
The purpose of this study is to build an integrated village monograph information system that displays all statistical data in a village. Data here include general data, villager data, financial data, authority data, and institutional data. The information in this monograph system is updated regularly and can be accessed by mobile devices. To achieve the purpose of this study, the authors began to conduct a literature study followed by a survey to find out the real conditions and needs in the field. The object of this study is Kota Baru Barat Village in Martapura Sub-district, one of the sub-districts in Indonesia. Based on the results of this survey, the authors began to design and develop a village monograph information system. The evaluation results show that the village monograph information system developed is acceptable and relevant in presenting information to the public.

Keywords
Integrated village monograph information system, Village administration, Indonesia.

References
[1] Chuan Luo et al., “Updating Three-Way Decisions in Incomplete Multi-Scale Information Systems,” Information Sciences, vol. 476, pp. 274–289, 2019. Google Scholar | CrossRef | Publisher Link
[2] Nurlinah, Haryanto, and Sunardi, “New Development, Old Migration, and Governance at Two Villages in Jeneponto, Indonesia,” World Development Perspectives, vol. 19, p. 100223, 2020. CrossRef | Publisher Link
[3] Nurlinah Nurlinah, and Haryanto Haryanto, “Institutional Mechanisms and Civic Forum in Coastal Village Governance in Indonesia,” Public Policy and Administration, vol. 19, no. 3, pp. 76–85, 2020. Google Scholar | CrossRef | Publisher Link
[4] Victoria Wang, and David Shepherd, “Exploring the Extent of Openness of Open Government Data – A Critique of Open Government Datasets in the UK,” Government Information Quarterly, vol. 37, no. 1, p. 101405, 2020. Google Scholar | CrossRef | Publisher Link
[5] Jae-Seong Lee, and Seung-Pyo Jun, “Privacy-Preserving Data Mining for Open Government Data from Heterogeneous Sources,” Government Information Quarterly, vol. 38, no. 1, p. 101544, 2021. Google Scholar | CrossRef | Publisher Link
[6] Luis Marnisah, Herri Setiawan, and John Roni Coyanda, “A Village Monograph Information System Modeling: Case Study Martapura Sub-District, South Sumatera, Indonesia,” Journal of Theoretical and Applied Information Technology, vol. 100, no. 13, pp. 4955–4967, 2022. Publisher Link
[7] Herri Setiawan, Husnawati, and Tasmi, “Assessment System of Local Government Projects Prototype in Indonesia,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 12, pp. 425–432, 2021. Google Scholar | CrossRef | Publisher Link
[8] Anisah Herdiyanti, Palupi Sekar Hapsari, and Tony Dwi Susanto, “Modelling the Smart Governance Performance to Support Smart City Program in Indonesia,” Procedia Computer Science, vol. 161, pp. 367–377, 2019. Google Scholar | CrossRef | Publisher Link
[9] Arni Rizqiani Rusydi et al., “The Implementation of Good Corporate Governance (GCG) at Public Hospital in Indonesia : A Literature Review ଝ,” Enfermería Clínica, vol. 30, pp. 145–148, 2020. Google Scholar | CrossRef | Publisher Link
[10] Rong Tang, and Jie Jiang, “Characteristics of Open Government Data (OGD) Around the World: A Country-based Comparative Meta-Analysis,” Data and Information Management, vol. 5, no. 1, pp. 11–26, 2021. Google Scholar | CrossRef | Publisher Link
[11] Ivan Derevitskii, Ivan Nuzhdenko, and Klavdiya Bochenina, “Identifying Places of Financial Interest Using Open Data Identifying of Financial Using Open Data Nuzhdenko Interest,” Procedia Computer Science, vol. 136, pp. 265–273, 2018. Google Scholar | CrossRef | Publisher Link
[12] Alexander Kock et al., “Project Portfolio Management Information Systems’ Positive Influence on Performance – The Importance of Process Maturity,” International Journal of Project Management, vol. 38, no. 4, pp. 229–241, 2020. Google Scholar | CrossRef | Publisher Link
[13] Daojiang Wang et al., “A Novel Application of Educational Management Information System Based on Micro Frontends,” Procedia Computer Science, vol. 176, pp. 1567–1576, 2020. Google Scholar | CrossRef | Publisher Link
[14] Yuliang Yun, Dexin Ma, and Meihong Yang, “Human–Computer Interaction-Based Decision Support System with Applications in Data Mining,” Future Generation Computer Systems, vol. 114, pp. 285–289, 2021. Google Scholar | CrossRef | Publisher Link
[15] Lin Liu, and Eric Yu, “Designing Information Systems in Social Context : A Goal And Scenario Modelling Approach,” Information Systems, vol. 29, no. 2, pp. 187–203, 2004. Google Scholar | CrossRef | Publisher Link
[16] Sarowar Kumar, Kumar Abhishek, and M.P. Singh, “Accessing Relevant and Accurate Information using Entropy,” Procedia Computer Science, vol. 54, pp. 449–455, 2015. Google Scholar | CrossRef | Publisher Link
[17] Jamie Y.T. Chang et al., “Enterprise System Programs: Goal Setting and Cooperation in the Integration Team,” Information & Management, vol. 56, no. 6, p. 103137, 2019. Google Scholar | CrossRef | Publisher Link
[18] Lisa DaVia Rubenstein et al., “Finding the Problem: How Students Approach Problem Identification,” Thinking Skills and Creativity, vol. 35, 2020. Google Scholar | CrossRef | Publisher Link
[19] Hannah Snyder, “Literature Review as a Research Methodology: An Overview and Guidelines,” Journal of Business Research, vol. 104, pp. 333–339, 2019. Google Scholar | CrossRef | Publisher Link
[20] Manuel Sá nchez-Paniagua et al., “Phishing Websites Detection Using a Novel Multipurpose Dataset and Web Technologies Features,” Expert Systems with Applications, vol. 207, p. 118010, 2022. Google Scholar | CrossRef | Publisher Link