Integration of the Hybrid Decision Support System and Machine Learning Algorithm to Determine Government Assistance Recipients: A Case Study in the Indonesian Funding Program

  • Indra Rusyadi Adiwijaya Institut Teknologi Bandung
  • Sapto Wahyu Indratno Institut Teknologi Bandung
  • Manahan Siallagan Institut Teknologi Bandung
  • Agus Widodo National Research and Innovation Agency Indonesia
  • Eka Gandara National Research and Innovation Agency Indonesia
Keywords: AHP, DSS, Feature Selection, Machine Learning, Logistic Regression, MCDM, SAW


The Indonesian government provides incentives to facilitate community development through various funding programs to improve the economy and restore the national economy. However, there were many obstacles in determining the proper target beneficiaries. This study aims to assist decision-makers in determining targeted and accountable beneficiary candidates. In this study, a hybrid Analytical Hierarchy Process (AHP) method with Simple Additive Weighting (SAW) was used and integrated with machine learning modeling using Logistic Regression (LR). The AHP approach is used to determine the weight of each criterion, and the SAW method is used to sort out each available alternative with the help of an expert team's assessment. Instead, the LR method is used for the predictive analysis and classification of the resulting data.

Author Biographies

Indra Rusyadi Adiwijaya, Institut Teknologi Bandung

Indra Rusyadi is a Master's student in computational science at the Bandung Institute of Technology, Indonesia. He received his bachelor's degree in Computer Science from Bogor Agricultural Institute, Indonesia. He also works as an engineer in a government agency at the National Research and Innovation Agency. His areas of research interest include data science, innovation and technology management, Business Intelligence, Decision Management, Technology Transfer, Technology Commercialization, Strategic Decision Making

Sapto Wahyu Indratno, Institut Teknologi Bandung

Sapto Wahyu Indratno is an Associate Professor of Mathematics and Statistics at the Bandung Institute of Technology, Indonesia. He received his Ph.D. in Mathematics at Kansas State University, United States of America. He received his bachelor's degree in Mathematics at the Bandung Institute of Technology, Indonesia, and his M.Sc in Mathematics at the University of Twente, The Netherlands. His area of research interest is mathematics and statistics. He has published more than 30 articles in various national and international journals and conferences. He has more than 20 years of teaching and research experience.

Manahan Siallagan, Institut Teknologi Bandung

Manahan Siallagan is currently a lecturer at the School of Business and Management Institute of Technology. He graduated from Mathematic, InstitutTeknologi Bandung in 1998. He got master degree from electrical engineering, InstitutTeknologi Bandung in 2003. He continued his study at Tokyo Institute of Technology and got both of Master and Doctoral degree in computational intelligent and systems science in 2013. Joined the School of Business and Management (SBM) – ITB as a full-time tutor in 2007 and as a full time lecturer after he received a PhD from Tokyo Institute of Technology, Japan in 2014. His experience as a lecturer in private university since 2000, as a research assistant and full time tutor at decision making and strategic negotiation of research interest group since 2005. There are some in several international journals, such as Systems Research and Behavioral Science, Evolutionary and Institutional Economics Review, and Frontiers in Psychological and Behavioral Science. There are some books chapters in Springer edition. His research interest social simulation, decision science and negotiation, system thinking and agent based modeling.

Agus Widodo, National Research and Innovation Agency Indonesia

Agus Widodo is an associate engineer at a government agency. He received his doctorate from the University of Indonesia in Computer Science, an MSc from Newcastle University, UK, in Computer Science, and a bachelor's degree from Louisiana State University, USA, in Computer Science. His research interests include technology auditing, Big Data, Machine Learning, and Technology Forecasting. He also teaches at a private university in Indonesia. He has more than ten research articles published in various well-known journals and conferences.

Eka Gandara, National Research and Innovation Agency Indonesia

Eka Gandara is currently working at the National Research and Innovation Agency, coordinating the implementation of utilizing research and innovation in society. Obtained a master's degree from Sriwijaya University Palembang public policy and a bachelor's degree from the Agricultural Institute of Bogor, Indonesia, fisheries. He is active in developing rural communities through innovation activities. He is also interested in developing the rural economy and Small and Medium Enterprises (SMEs) and actively conducts surveillance programs for SMEs. His research interests include agriculture and fisheries, appropriate technology, decision-making, and negotiation science, technology dissemination, and technology commercialization.


Al Nawaiseh, A. J., Albtoush, A., Al-Msiedeen, R., and Al Nawaiseh, S. J. Evaluate Database Management System Quality By Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methodology. Mendel 28, 2 (2022), 67–75.

Angelina, Surbakti, R. D., Simamora, R. S., Cendana, E., Sitanggang, D., Banjarnahor, J., and Turnip, M. Application Selection Lending Houses Subsidized by the Method of AHP and SAW. In Journal of Physics: Conference Series (sep 2019), vol. 1230, Institute of Physics Publishing.

Azhar, N. A., Radzi, N. A. M., and Wan Ahmad, W. S. H. M. Multi-criteria Decision Making: A Systematic Review. (Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 14, 8 (nov 2021), 779–801.

Azzeddine, D., Jabri, S., Yousse, B., and Taoufiq, G. The selection of the relevant association rules using the electre method with multiple criteria. IAES International Journal of Artificial Intelligence 9, 4 (dec 2020), 638–645.

Buyukozkan, G., Gocer, F., and Karabulut, Y. A new group decision making approach with IF AHP and IF VIKOR for selecting hazardous waste carriers. Measurement: Journal of the International Measurement Confederation 134 (feb 2019), 66–82.

Cahyapratama, A., and Sarno, R. Application of Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods in singer selection process. In 2018 International Conference on Information and ommunications

Technology, ICOIACT 2018 (apr 2018), vol. 2018-Janua, Institute of Electrical and Electronics Engineers Inc., pp. 234–239.

Chen, Y. Application of analytic hierarchy process (AHP) and simple additive weighting (SAW) methods in mapping flood-prone areas. In Frontiers in Artificial Intelligence and Applications (oct 2021), vol. 341, IOS Press BV, pp. 435–441.

Dursun, M., and Ogunclu, O. Agile Supplier Evaluation Using Hierarchical TOPSIS Method. WSEAS Transactions on Information Science and Applications 18 (2021), 12–19.

Fishburn, P. C. Methods of Estimating Additive Utilities Author ( s ): Peter C . Fishburn Source : Management Science , Vol . 13 , No . 7 , Series A , Sciences ( Mar ., 1967 ), pp.435-453 Published by : INFORMS Stable URL: Management Science 13, 7 (1967), 435–453.

Hu, J., Chen, C., and Zhu, K. Application of Data Mining Combined with Fuzzy Multicriteria Decision-Making in Credit Risk Assessment from Legal Service Companies. Mathematical Problems in Engineering 2021 (2021).

Indonesia. Regulation of the President of the Republic of Indonesia Number 81 of 2010 Concerning the Grand Design of Bureaucratic Reform 2010-2025, 2010.

Indonesia. Regulation of the Minister of Research, Technology, and Higher Education of the Republic of Indonesia Number 38 of 2019 concerning National Research Priorities for 2020-2024, 2019.

Indonesia. Technical Guidelines for Government Assistance in the Form of Desa Berinovasi, 2021.

International Federation of Accountants, and Chartered Institute of Public Finance and Accountancy. International framework : good governance in the public sector. Tech. rep., IFAC dan CIPFA, 2014.

Jain, V., Sangaiah, A. K., Sakhuja, S., Thoduka, N., and Aggarwal, R. Supplier selection using fuzzy AHP and TOPSIS: a case study in the Indian automotive industry. Neural Computing and Applications 29, 7 (apr 2018), 555–564.

Jena, R., Pradhan, B., Beydoun, G., Nizamuddin, Ardiansyah, Sofyan, H., and Affan, M. Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: Aceh province, Indonesia. Geoscience Frontiers 11, 2 (mar 2020), 613–634.

Kim, J. H., and Ahn, B. S. The hierarchical VIKOR method with incomplete information: Supplier selection problem. Sustainability (Switzerland) 12, 22 (nov 2020), 1–14.

Lopes, A. P., and Rodriguez-Lopez, N. A decision support tool for supplier evaluation and selection. Sustainability (Switzerland) 13, 22 (nov 2021).

Macieira, M., Mendonc¸a, P., Miranda Guedes, J., and Tereso, A. Evaluating the efficiency of membrane’s refurbishment solutions to perform vertical extensions in old buildings using a multicriteria decision-support model. Architectural Engineering and Design Management 18, 1 (2022), 1–25.

Melvin, Sutrisno, T., and Herwindiati, D. E. Decision support system for election and evaluation of assistant lecturer using analytical hierarchy process and simple additive weighting: Case study faculty of information technology Tarumanagara university. In IOP Conference Series: Materials Science and Engineering (dec 2020), vol. 1007, IOP Publishing Ltd.

Mohammed, M. A., Abdulkareem, K. H., Al-Waisy, A. S., Mostafa, S. A., Al- Fahdawi, S., Dinar, A. M., Alhakami, W., Baz, A., Al-Mhiqani, M. N., Alhakami, H., Arbaiy, N., Maashi, M. S., Mutlag, A. A., Garcia-Zapirain, B., and De La Torre Diez, I. Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods. IEEE Access 8 (2020), 99115–99131.

Noviyanto, F., Tarmuji, A., and Hardianto, H. Food Crops Planting Recommendation Using Analytic Hierarchy Process (AHP) And Simple Additive Weighting (SAW) Methods. INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH 9 (2020), 2.

Rodrigues, D., Godina, R., and da Cruz, P. E. Key performance indicators selection through an analytic network process model for tooling and die industry. Sustainability (Switzerland) 13, 24 (dec 2021).

Saaty, T. L. Applications of analytical hierarchies. Mathematics and Computers in Simulation 21, 1 (mar 1979), 1–20.

Saaty, T. L. How to make a decision: The analytic hierarchy process. European Journal of Operational Research 48, 1 (sep 1990), 9–26.

Saputra, M., Sitompul, O. S., and Sihombing, P. Comparison AHP and SAW to promotion of head major department SMK Muhammadiyah 04 Medan. In Journal of Physics: Conference Series (apr 2018), vol. 1007, Institute of Physics Publishing.

Wang, C. N., Pan, C. F., Nguyen, V. T., and Husain, S. T. Sustainable supplier selection model in supply chains during the COVID-19 pandemic. Computers, Materials and Continua 70, 2 (2022), 3005–3019.

Wang, C. N., Tsai, H. T., Ho, T. P., Nguyen, V. T., and Huang, Y. F. Multicriteria decision making (MCDM) model for supplier evaluation and selection for oil production projects in vietnam. Processes 8, 2 (feb 2020).

Wijayanto, S., Napitupulu, D., Adiyarta, K., and Windarto, A. P. Decision Support System of New Student Admission Using Analytical Hierarchy Process and Simple Additive Weighting Methods. In Journal of Physics: Conference Series (sep 2019), vol. 1255, Institute of Physics Publishing.

World Bank. Governance and development. World Bank, 1992.

Xu, J., Li, L., and Ren, M. A Hybrid ANP Method for Evaluation of Government Data Sustainability. Sustainability (Switzerland) 14, 2 (jan 2022).

Yu, L., Zhou, C., Wang, Y., Cao, Y., and Peres, D. J. Coupling Data-and Knowledge-Driven Methods for Landslide Susceptibility Mapping in Human-Modified Environments: A Case Study from Wanzhou County, Three Gorges Reservoir Area, China. Remote Sensing 14, 3 (feb 2022).

Zhao, K., Dai, Y., Ji, Y., and Jia, Z. Decision-Making Model to Portfolio Selection Using Analytic Hierarchy Process (AHP) with Expert Knowledge. IEEE Access 9 (2021), 76875–76893.

How to Cite
Adiwijaya, I., Indratno, S., Siallagan, M., Widodo, A. and Gandara, E. 2023. Integration of the Hybrid Decision Support System and Machine Learning Algorithm to Determine Government Assistance Recipients: A Case Study in the Indonesian Funding Program. MENDEL. 29, 1 (Jun. 2023), 15-24. DOI:
Research articles