* Corresponding Author
Perancangan Sistem Pendukung Keputusan Pemilihan Lokasi Agroindustri: Studi Industri Tahu di Daerah Istimewa Yogyakarta
https://doi.org/10.22146/agritech.54043 Suhendra Suhendra(1*), Endy Suwondo(2), Dyah Ismoyowati(3), Masayuki Matsuoka(4)
(1) Universitas Gadjah Mada
(2) Departemen Teknologi Industri Pertanian, Fakultas Teknologi Pertanian, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta 55281
(3) Departemen Teknologi Industri Pertanian, Fakultas Teknologi Pertanian, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta 55281
(4) Department of Information Engineering, Faculty of Engineering, Mie University, 1577 Kurimamachiya, Tsu, Mie 514-8507
(*) Corresponding Author
Abstract
Pengembangan Sistem Pendukung Keputusan (SPK) pada studi kelayakan pemilihan lokasi agroindustri dengan analisis finansial dan lingkungan belum banyak dilakukan, khususnya untuk kelayakan industri sekala kecil menengah di area permukiman. Penelitian ini bertujuan membuat rancang bangun sistem pendukung keputusan (SPK) pemilihan lokasi agroindustri dengan kombinasi analisis finansial dan spasial lingkungan. Studi dilakukan untuk penetapan lokasi industri tahu di Daerah Istimewa Yogyakarta (DIY). Penelitian dilakukan melalui tahapan perancangan context diagram, hierarchical input process output (HIPO), dan data flow diagram. Sistem dirancang dengan 2 desain antarmuka: untuk user (interface front end) dan antarmuka oleh admin (interface back end). Hasil penelitian adalah prototype aplikasi pendukung keputusan berbasis website bernama IFSS (Industrial Feasibility Support System) dengan alamat domain http://ifssugmku.com/. Pemilihan lokasi industri dengan kriteria finansial dan lingkungan dilakukan untuk menentukan lokasi yang paling sesuai bagi pendirian industri. Uji coba sistem menunjukkan Kabupaten Gunungkidul merupakan lokasi dengan hasil kelayakan finansial tertinggi dengan nilai NPV (Rp) 879.520.243, sementara Kabupaten Bantul dan Kulon Progo merupakan daerah dengan sebaran lokasi terpilih tertinggi dari analisis lingkungan menggunakan teknik overlay. Verifikasi dilakukan dengan membandingkan hasil perhitungan manual dengan hasil perhitungan aplikasi, serta membandingkan sebaran lokasi keberadaan 14 sampel industri tahu di DIY dengan hasil pemilihan lokasi secara spasial pada ArcGIS Pro. IFSS adalah aplikasi untuk membantu memberikan petimbangan pemilihan lokasi industri secara finansial dan lingkungan.
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Aiello, G., Giovino, I., Vallone, M., Catania, P., & Argento, A. (2018). A decision support system based on multisensor data fusion for sustainable greenhouse management. Journal of Cleaner Production, 172, 4057–4065. https://doi.org/10.1016/j.jclepro.2017.02.197
Badri, M. A. (2007). Dimensions of industrial location factors: Review and exploration. Business and Public Affairs, 1(2), 4–26.
Bravo-Fritz, C. P., Sáez-Navarrete, C. A., Herrera Zeppelin, L. A., & Ginocchio Cea, R. (2015). Site selection for microalgae farming on an industrial scale in Chile. Algal Research, 11, 343–349. https://doi.org/10.1016/j.algal.2015.07.012
Chen, L., Olhager, J., & Tang, O. (2014). Manufacturing facility location and sustainability: A literature review and research agenda. International Journal of Production Economics, 149, 154–163. https://doi.org/10.1016/j.ijpe.2013.05.013
Cobo, Á., Llorente, I., Luna, L., & Luna, M. (2019). A decision support system for fish farming using particle swarm optimization. Computers and Electronics in Agriculture, 161, 121–130. https://doi.org/10.1016/j.compag.2018.03.036
Drakaki, M., Gören, H. G., & Tzionas, P. (2018). An intelligent multi-agent based decision support system for refugee settlement siting. International Journal of Disaster Risk Reduction, 31, 576–588. https://doi.org/10.1016/j.ijdrr.2018.06.013
Dutta, G., Gupta, N., Mandal, J., & Tiwari, M. K. (2018). New decision support system for strategic planning in process industries: Computational results. Computers and Industrial Engineering, 124, 36–47. https://doi.org/10.1016/j.cie.2018.07.016
Fu’ad, N. E. (2015). Pengaruh pemilihan lokasi terhadap kesuksesan usaha berskala mikro/kecil di komplek shopping centre Jepara. Media Ekonomi dan Manajemen, 30(1), 56–67. https://doi.org/10.24856/mem.v30i1.234
Gunarta, I. K. (2012). Rancang bangun model pendukung keputusan pengembangan agroindustri crude palm oil berbasis spasial [Tesis, Institut Pertanian Bogor]. IPB University Scientific Repository. https://repository.ipb.ac.id/handle/123456789/65012
Indrianingsih, Y. (2018). Decision support system to determine the number of production tofu using the fuzzy sugeno method (case study: home industries tofu in Seyegan district). Conference SENATIK STT Adisutjipto Yogyakarta, 4. https://doi.org/10.28989/senatik.v4i0.216
Krishnaiyer, K., & Chen, F. F. (2017). A Cloud-based kanban decision support system for resource scheduling & management. Procedia Manufacturing, 11, 1489–1494. https://doi.org/10.1016/j.promfg.2017.07.280
Kumar, S., & Bansal, V. K. (2016). A GIS-based methodology for safe site selection of a building in a hilly region. Frontiers of Architectural Research, 5(1), 39–51. https://doi.org/10.1016/j.foar.2016.01.001
Kusnandar. (2006). Rancang bangun model pengembangan industri kecil jamu. [Tesis, Institut Pertanian Bogor]. IPB University Scientific Repository. https://repository.ipb.ac.id/handle/123456789/40681
Mayasari, R., & Santoso, B. (2018). Perencanaan tata letak fasilitas di pabrik tahu pong Enggal Jaya Palembang. Integrasi: Jurnal Ilmiah Teknik, 2(2), 35–41. https://doi.org/10.32502/js.v2i2.1249
Mitchell, A. (2012). The ESRI Guide to GIS Analysis: Modeling suitability, movement, and interaction Vol. 3. ESRI Press, California.
Moallemi, E. A., Elsawah, S., & Ryan, M. J. (2020). Strengthening ‘good’ modelling practices in robust decision support: A reporting guideline for combining multiple model-based methods. Mathematics and Computers in Simulation, 175, 3–24. https://doi.org/10.1016/j.matcom.2019.05.002
Pamungkas, A. W., & Slamet, A. (2017). Pengolahan tipikal instalasi pengolahan air limbah industri tahu di kota Surabaya. Jurnal Teknik ITS, 6(2), D123–D128. https://doi.org/10.12962/j23373539.v6i2.24585
Prasad, D., & Ratna, S. (2018). Decision support systems in the metal casting industry: An academic review of research articles. Materials Today: Proceedings, 5(1), 1298–1312. https://doi.org/10.1016/j.matpr.2017.11.215
Pratiwi, I., Muslimah, E., & Wahab Aqil, D. A. (2012). Perancangan tata letak fasilitas di industri tahu menggunakan blocplan. Jurnal Ilmiah Teknik Industri, 11(2).
Rikalovic, A., Cosic, I., & Lazarevic, D. (2014). GIS based multi-criteria analysis for industrial site selection. Procedia Engineering, 69, 1054–1063. https://doi.org/10.1016/j.proeng.2014.03.090
Siddiqui, A. W., Raza, S. A., & Tariq, Z. M. (2018). A web-based group decision support system for academic term preparation. Decision Support Systems, 114, 1–17. https://doi.org/10.1016/j.dss.2018.08.005
Suhendra, Suwondo, E., Ismoyowati, D., & Matsuoka, M. (2019). Feasibility of establishing small and medium agro‐industries in Kabawetan Subdistrict, Indonesia, based on economic and spatial analyses. Research Reports of Kochi University, 68, 169–182.
Trivedi, A. (2018). A multi-criteria decision approach based on DEMATEL to assess determinants of shelter site selection in disaster response. International Journal of Disaster Risk Reduction, 31, 722–728. https://doi.org/10.1016/j.ijdrr.2018.07.019
Vieira, M., Pinto-Varela, T., & Barbosa-Póvoa, A. P. (2019). A model-based decision support framework for the optimisation of production planning in the biopharmaceutical industry. Computers and Industrial Engineering, 129, 354–367. https://doi.org/10.1016/j.cie.2019.01.045
Wibawa, D. S. (2007). Sistem Penunjang Keputusan Pembangunan Agroindustri Skala Kecil Berbasis Kentang. [Tesis, Institut Pertanian Bogor]. IPB University Scientific Repository. https://repository.ipb.ac.id/handle/123456789/11163
DOI: https://doi.org/10.22146/agritech.54043
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