Penentuan Prioritas Investasi Infrastruktur Irigasi untuk Optimalisasi Alokasi Anggaran Pemerintah Provinsi Sulawesi Selatan
DOI:
https://doi.org/10.56750/cesjv9i4.1963Keywords:
Irrigation Schemes, Investment Feasibility, Life Cycle Cost, BWM–MARCOS, Budget AllocationAbstract
Budget constraints require local governments to select the most valuable irrigation investments rather than simply follow a list of rehabilitation needs. This study develops a two-stage decision framework for the 38 irrigation schemes under the authority of South Sulawesi Province. The first stage screens investment feasibility using capital budgeting (NPV, IRR, BCR) and life cycle cost analysis (LCCA) at discount rates of 12% and 15%. The second stage ranks the feasible schemes with the Best-Worst Method (BWM), based on the judgments of 30 experts, and the MARCOS method across six criteria. Twenty-eight schemes are feasible under both scenarios, requiring IDR 326.80 billion (45.7% of total needs) while generating 80.9% of the present value of benefits (aggregate BCR 3.12); the remaining 10 schemes absorb 54.3% of investment with a BCR of 0.62. The technical criterion carries the highest weight (0.235), followed by environmental (0.182), economic (0.170), strategic/policy (0.169), service (0.147), and social (0.097). MARCOS yields high-priority (10 schemes; IDR 120.29 billion), medium-priority (12), and low-priority (6) groups whose order differs from both physical damage and project economic performance. Feasibility screening contributes most to budget effectiveness, while multi-criteria ranking sets the funding sequence and supports differentiated financing sources.
References
Al-Hafizh, A., Mardianta, A. V., & Hasibuan, G. C. R. (2026). Prioritas rehabilitasi daerah irigasi yang mendukung program ketahanan pangan di wilayah Sumatera Utara. Syntax Literate: Jurnal Ilmiah Indonesia, 11(6).
Avramova, T., Paneva, T., & Ivanov, I. (2025). Overview of existing multi-criteria decision-making (MCDM) methods used in industrial environments. Technologies, 13(10), 444. https://doi.org/10.3390/technologies13100444
Badan Pusat Statistik Provinsi Sulawesi Selatan. (2025). Provinsi Sulawesi Selatan dalam angka 2025. BPS Provinsi Sulawesi Selatan.
Balai Besar Wilayah Sungai Pompengan Jeneberang. (2025). Data luas daerah irigasi menurut kewenangan dan alokasi rehabilitasi daerah irigasi kewenangan provinsi berdasarkan Inpres Nomor 2 Tahun 2025 (Data tidak dipublikasikan).
Balana, B. B., & Akudugu, M. A. (2023). Economic analysis of public investment in alternative agricultural water management schemes: A case study from northern Ghana. Water International, 48(1), 40–62. https://doi.org/10.1080/02508060.2022.2156224
Belton, V., & Stewart, T. J. (2002). Multiple criteria decision analysis: An integrated approach. Kluwer Academic Publishers. https://doi.org/10.1007/978-1-4615-1495-4
Boardman, A. E., Greenberg, D. H., Vining, A. R., & Weimer, D. L. (2018). Cost-benefit analysis: Concepts and practice (5th ed.). Cambridge University Press. https://doi.org/10.1017/9781108235594
Brealey, R. A., Myers, S. C., & Allen, F. (2020). Principles of corporate finance (13th ed.). McGraw-Hill Education.
Dinas Sumber Daya Air, Cipta Karya dan Tata Ruang Provinsi Sulawesi Selatan. (2025). Data kondisi jaringan dan kebutuhan anggaran rehabilitasi daerah irigasi kewenangan provinsi (Data tidak dipublikasikan).
Direktorat Jenderal Perimbangan Keuangan, Kementerian Keuangan. (2026). Data APBD Provinsi Sulawesi Selatan tahun anggaran 2026. https://djpk.kemenkeu.go.id/portal/data/apbd
Fuller, S. K., & Petersen, S. R. (1996). Life-cycle costing manual for the Federal Energy Management Program (NIST Handbook 135). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.HB.135e1995
Gittinger, J. P. (1982). Economic analysis of agricultural projects (2nd ed.). Johns Hopkins University Press.
International Monetary Fund. (2022). PIMA handbook: Public investment management assessment. International Monetary Fund. https://doi.org/10.5089/9781513571829.071
Isard, W. (1960). Methods of regional analysis: An introduction to regional science. MIT Press.
Jahan, A., & Edwards, K. L. (2015). A state-of-the-art survey on the influence of normalization techniques in ranking: Improving the materials selection process in engineering design. Materials & Design, 65, 335–342. https://doi.org/10.1016/j.matdes.2014.09.022
Kamber, E., Aydoğmuş, U., Yumurtacı Aydoğmuş, H., Gümüş, M., & Kahraman, C. (2024). Prioritization of drip-irrigation pump alternatives in agricultural applications: An integrated picture fuzzy BWM&CODAS methodology. Applied Soft Computing, 154, 111308. https://doi.org/10.1016/j.asoc.2024.111308
Keeney, R. L., & Raiffa, H. (1976). Decisions with multiple objectives: Preferences and value tradeoffs. John Wiley & Sons.
Kementerian Dalam Negeri. (2023, 19 Oktober). 46% irigasi di Indonesia rusak, Wamendagri dorong pemda lakukan perbaikan [Dikutip dalam SINDOnews]. https://nasional.sindonews.com/read/1230491/15/46-irigasi-di-indonesia-rusak-wamendagri-dorong-pemda-lakukan-perbaikan-1697739058
Kementerian Koordinator Bidang Infrastruktur dan Pembangunan Kewilayahan. (2025). Inpres 2/2025: Percepatan pembangunan, peningkatan, rehabilitasi, serta operasi dan pemeliharaan jaringan irigasi untuk mendukung swasembada pangan. https://jdih.kemenkoinfra.go.id
Kementerian Pekerjaan Umum dan Perumahan Rakyat. (2015a). Peraturan Menteri PUPR Nomor 12/PRT/M/2015 tentang Eksploitasi dan Pemeliharaan Jaringan Irigasi.
Kementerian Pekerjaan Umum dan Perumahan Rakyat. (2015b). Peraturan Menteri PUPR Nomor 14/PRT/M/2015 tentang Kriteria dan Penetapan Status Daerah Irigasi.
Mahmoodian, M., Shahrivar, F., & Li, C. (2022). Maintenance prioritisation of irrigation infrastructure using a multi-criteria decision-making methodology under a fuzzy environment. Sustainability, 14(22), 14791. https://doi.org/10.3390/su142214791
OECD. (2017). Getting infrastructure right: A framework for better governance. OECD Publishing. https://doi.org/10.1787/9789264272453-en
Pemerintah Provinsi Sulawesi Selatan. (2022). Peraturan Daerah Provinsi Sulawesi Selatan Nomor 3 Tahun 2022 tentang Rencana Tata Ruang Wilayah Provinsi Sulawesi Selatan Tahun 2022–2041.
Rahim, S., Ahmad, H., Muslim, M., & Nursadirah, A. (2020). Disclosure of local government financial statements in South Sulawesi. Dalam Proceedings of the Brawijaya International Conference on Multidisciplinary Sciences and Technology (BICMST 2020) (hlm. 1–6). Atlantis Press.
Republik Indonesia. (2025). Peraturan Presiden Nomor 12 Tahun 2025 tentang Rencana Pembangunan Jangka Menengah Nasional Tahun 2025–2029.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57. https://doi.org/10.1016/j.omega.2014.11.009
Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126–130. https://doi.org/10.1016/j.omega.2015.12.001
Sarira, W. T., Mahfudnurnajamuddin, & Nur, A. N. (2026). The effect of capital expenditure, expenditure on goods and services, on regional original revenue in the government of Tana Toraja and Enrekang. Jurnal Pabean, 8(1).
Scanlon, B. R., Ruddell, B. L., Reed, P. M., Hook, R. I., Zheng, C., Tidwell, V. C., & Siebert, S. (2017). The food-energy-water nexus: Transforming science for society. Water Resources Research, 53(5), 3550–3556. https://doi.org/10.1002/2017WR020889
Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231. https://doi.org/10.1016/j.cie.2019.106231
World Bank. (n.d.). Climate resilient irrigation. https://www.worldbank.org/en/topic/climate-resilient-irrigation
