Strategic Plan Development For Palm Sugar Agroindustry Using Interpretative Structural Modeling (ISM) and MICMAC Methodology: Case Study in Jember
Keywords:
ISM, MICMAC, Palm Sugar, Strategic plan, priorityAbstract
This study develops a generic conceptual framework for strategic planning development from the coconut sugar agro-industry context in Jember Regency. The concepts and frameworks developed can be a useful resource for regional leaders, especially the Jember Regional Government to accelerate its strategic planning journey, which is essential to be competitive and successful in this developing era. From the exploratory nature of research, the interaction with experts and the findings from ISM and MICMAC hints at the need to evolve and implement strategies for a rapid increase in the overall competitiveness of the palm sugar business through Strategic Planning in creating overall activity programs. The main finding is that the matrix reflects the driving force of factors such as “Formulation of local regulations to support coconut agro-industry development” and “Outlining general zoning plans” (which depend on the leadership of the Local Government Top Management), are at a high level. MICMAC analysis thus proves and strengthens the popular belief that Top Management, in this case, the Regional Government of Jember Regency, plays an important role in initiating any initiatives / determining the future of the coconut sugar agro-industry through the development of sound and appropriate strategic planning. From the strategic aspect needed in the framework of developing strategic planning for coconut sugar agro-industry in Jember Regency, another strategy is "Integration between industrial sectors". The next priority strategy is "Identification of types of agro-industries that are feasible to develop", "development of incentive systems such as taxation and investment credit" and "development of information systems". Last but not least is “improving industrial licensing procedures” and “preparing land use management”.
References
S. Suwarto and O. Octavianty, Budidaya Tanaman Perkebunan Unggulan. Jakarta: Penebar Swadaya, 2010.
BPS, Kabupaten Jember dalam Angka tahun 2019. Kabupaten Jember: Badan Pusat Statistik, 2019.
J. E. Austin, Agroindustrial project analysis: critical design factors. The World Bank, 1992.
I. G. B. Udayana, “Peran Agroindustri dalam Pembangunan Pertanian,” 2011.
S. Anantanyu, “Kelembagaan Petani: Peran dan Strategi Pengembangan Kapasitasnya;,” vol. 7, p. 8, 2011.
K. Kusnandar, D. Padmaningrum, W. Rahayu, and A. Wibowo, “Rancang Bangun Model Kelembagaan Agribisnis Padi Organik dalam Mendukung Ketahanan Pangan,” J. Ekon. Pembang. Kaji. Masal. Ekon. Dan Pembang., vol. 14, no. 1, pp. 92-101–101, Jun. 2013, doi: https://doi.org/10.23917/jep.v14i1.163.
F. Pratama, W. H. Susanto, and I. Purwantiningrum, “Pembuatan Gula Kelapa dari Nira Terfermentasi Alami (Kajian Pengaruh Konsentrasi Anti Inversi Dan Natrium Metabisulfit) [In Press September 2015],” J. Pangan Dan Agroindustri, vol. 3, no. 4, Oct. 2014, Accessed: Mar. 29, 2020. [Online]. Available: https://jpa.ub.ac.id/index.php/jpa/article/view/250.
T. Yanto, K. Karseno, and M. M. D. Purnamasari, “Pengaruh Jenis dan Konsentrasi Gula Terhadap Karakteristik Fisikokimia dan Sensori Jelly Drink,” J. Teknol. Has. Pertan., vol. 8, no. 2, p. 123, Aug. 2015, doi: 10.20961/jthp.v0i0.12904.
A. Saleh, B. Rachman, A. Gozali, and Z. Zaini, “Analisis Kelembagaan Sistem Integrasi Padi Ternak,” Working Paper, 2007.
B. Arifin, Ekonomi kelembagaan pangan, Cet. 1. Jakarta: LP3ES, 2005.
D. A. Adjid, Membangun Pertanian Modern. Jakarta: Pengembangan Sinar Tani, 2001.
K. Budiarta, Pengantar Bisnis Edisi 2, 2nd ed. Medan: Mitra Kencana Media, 2010.
J. N. Warfield, “Developing Interconnection Matrices in Structural Modeling,” in IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-4, no. 1, pp. 81–87, 1974.
Sage A. P., Interpretive structural modelling: Methodology for large scale systems. New York: NY: McGraw-Hill, 1977.
A. Agarwal, R. Shankar, and M. K. Tiwari, Modeling agility of supply chain. Industrial Marketing Management, vol. 4. 2007.
M. N. Faisal, D. K. Banwet, and R. Shankar, “Supply chain risk mitigation: modeling the enablers,” Bus. Process Manag., vol. 12, no. 4, pp. 535–552, 2006.
R. H. Watson, “Interpretive structural modeling—A useful tool for technology assessment?,” Technol. Forecast. Soc. Change, vol. 11, no. 2, pp. 165–185, 1973, doi: https://doi.org/10.1016/0040-1625(78)90028-8.
G. Kannan, S. Pokharel, and P. S. Kumar, “A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider Resources,” Conserv. Recycl., vol. 54, no. 1, pp. 28–36, 2009.
G. B. C. Backus, G. T. Timmer, A. A. Dijkhuizen, V. R. Eidman, and R. P. King, “The impact of a decision support system for strategic pig farm planning on the advice of extension officers,” Comput. Electron. Agric., vol. 12, no. 1, pp. 51–64, 1995.
R. Shankar and V. Ravi, “Analysis of interactions among the barriers of reverse logistics,” Technol. Forecast. Soc. Change, vol. 72, no. 8, pp. 1011–1029, 2005.
S. P. Chen and W. Y. Wu, “A systematic procedure to evaluate an automobile manufacturer–distributor partnership,” Eur. J. Oper. Res., vol. 205, no. 3, pp. 687–698, 2010.
Kusrini, Konsep dan Aplikasi Sistem Pendukung Keputusan. Yogyakarta: Andi, 2009.
D. P. Darmawan, Pengambilan Keputusan Tersruktur Dengan Interpretive Structural Modeling. Yogyakarta: Penerbit Elmetera, 2017.
A. Mandal and S. G. Deshmukh, “Vendor Selection Using Interpretive Structural Modelling (ISM),” Int. J. Oper. Prod. Manag., vol. 14, no. 6, pp. 52–59, 1994.
R. Wirosoedarmo, J. B. R. Widiatmono, and Y. Widyoseno, “Rencana Tata Ruang Wilayah (Rtrw) Berdasarkan Daya Dukung Lingkungan Berbasis Kemampuan Lahan (RTRW Arrangement Based on Environmental Supportability Based on Land Capability),” J. Agritech, vol. 34, no. 04, p. 463, Feb. 2015, doi: 10.22146/agritech.9442.
R. Irene Sopacua, A. Fariyanti, and B. Burhanuddin, “Penentuan Prioritas Jenis Agroindustri Kelapa Di Kabupaten Halmahera Barat,” Forum Agribisnis, vol. 10, no. 1, pp. 68–78, Mar. 2020, doi: 10.29244/fagb.10.1.68-78.
Y. Yun, “Pengaruh Koordinasi Dan Integrasi Rantai Pasokan Terhadap Kinerja Rantai Pasokan Melalui Kinerja Organisasi Pada Usaha Pangan,” Lemb. Penelit. Pengemb. Pembelajaran Pengabdi. Kpd. Masy. IIB Darmajaya, p. 11, 2017.
A. A. Gabriel, I. Santoso, and D. M. Ikasari, “Perencanaan Strategi Pengembangan Industri Rumah Tangga Gula Kelapa (Studi Kasus Industri Rumah Tangga Gula Kelapa Desa Gledug Kecamatan Sanan Kulon, Kabupaten Blitar),” Fak. Teknol. Pertan. – Univ. Brawijaya, p. 11, 2013.
W. A. Putri, “Insentif Pajak Dalam Membentuk Keputusan Investasi,” no. 2, p. 7, 2017.
M. Syafiq, “Birokrasi di Era Revolusi Industri 4.0 : (Studi Kasus Pelayanan Perijinan Memulai Usaha di Indonesia),” J. Soc. Polit. Gov., vol. 1, no. 1, Art. no. 1, Jun. 2019.
W. A. Triyanto, “Sistem Informasi Manajemen Pameran Industri Di Dinas Perindustrian Koperasi Dan Umkm Kabupaten Kudus,” Pros. SNATIF, vol. 3, p. 8, 2016.
