Subsidized Diesel Fuel Distribution Post-Development Of The New Region Authority Strategy
DOI:
https://doi.org/10.46799/ijssr.v3i10.500Keywords:
fuel oil, subsidies, transportation cost, linear programming, business strategy, value chainAbstract
Papua has officially been divided into 4 regions, namely Papua,Central Papua, Highlands Papua, and South Papua effective June 2022. The supply and distribution of subsidized fuel to each region has its own challenges, unpredicted weather, terrain, shallow rivers and the lack of infrastructure lead to very high operation cost. Apart from providing subsidized fuel, Pertamina has also to sell non-subsidized fuel in order to present in market competion among foreign companies that sell non-subsidized fuel in Indonesia. This research aims to evaluate, optimize and reformulate PT. Pertamina Patra Niaga strategy in managing supply and distribution of Subsidized Fuel to each region and business strategy in downsteam fuels market. The scope of this research is qualitative and quantitative descriptive and the data used are the combination of primary and secondary data. The primary data obtained through interviews and observations, and the secondary data obtained from PT. Pertamina Patra Niaga, BPH Migas, library research, journals and other literatures. The demand forecating, external environmental analysis (PESTEL), internal environmental analysis (Value Chain), industrial environmental analysis (SWOT), AHP and linear programming (LP) analysis were carried out in order to determine the alternative strategy. Based on the qualitative analysis, the result obtained that PT. Pertamina Patra Niaga has the strength of providing subsidized fuels, distribution network, sales outlets, facilities and infrastructure for distribution of subsidized fuels to all regions in Papua. PT. Pertamina Patra Niaga has high opportunity of success to win the market competition. To support the winning competition, the selected strategy that can be implemented is optimizing the subsidized diesel fuel distribution network and operational costs reduction strategy.
References
Adiliya, Ana. (2019). Port maritime connectivity in South-East Indonesia: A new strategic positioning for transhipment port of Tenau Kupang. The Asian Journal of Shipping and Logistics, 35(4), 172–180. https://doi.org/10.1016/j.ajsl.2019.12.004
Adli, A. W. S., Prastyasari, F. I., Handani, D. W., & Artana, K. B. (2022). LNG Distribution Optimization using Set Partitioning Problem Method. IOP Conference Series: Earth and Environmental Science, 972(1), 12082. https://doi.org/10.1088/1755-1315/972/1/012082
Alashhab, M. S., & Mlybari, E. A. (2021). Developing a multi-item, multi-product, and multi-period supply chain planning optimization model. Indian Journal of Science and Technology, 14(37), 2850–2859. https://doi.org/10.17485/IJST/v14i37.867
Ali, Hasanuddin, & Purwandi, Lilik. (2017). Milenial nusantara. Gramedia Pustaka Utama.
Aminudin, H. (2005). Prinsip-prinsip Riset Operasi. Jakarta: Erlangga.
Arif, Muhammad. (2018). Supply Chain Management. Deepublish.
Arikunto, Suharsimi. (2006). 2010 Prosedur Penelitian suatu Pendekatan Praktik. Jakarta: Rhineka Cipta.
Asri, Rishal. (2017). Proyeksi Jangka Panjang Kebutuhan Energi Sulawesi Selatan Menggunakan Skenario Sistem Energi Bersih. https://doi.org/10.14710/jbs.28.1.56-78
Ayuningtyas, Maharani, Harianto, Harianto, & Safari, Arief. (2019). Pengembangan Strategi Pada Aktivitas Rantai Nilai Panas Bumi (Studi Pada PT Geo Dipa Energi (Persero)). JURNAL BISNIS STRATEGI, 28(1), 56–78. https://doi.org/10.14710/jbs.28.1.56-78
Chopra, Sunil, & Meindl, Peter. (2001). Strategy, planning, and operation. Supply Chain Management, 15(5), 71–85.
Cooper, Donald R., & Schindler, Pamela S. (2003). Business research methods McGraw-hill: New york.
David, Fred R. (2011). Strategic management concepts and cases. Pearson.
Djati, Bonett Satya Lelono. (2007). Simulasi Teori dan Aplikasinya. Yogyakarta: Andi.
Grant, David B., Wong, Chee Yew, & Trautrims, Alexander. (2017). Sustainable logistics and supply chain management: principles and practices for sustainable operations and management. Kogan Page Publishers.
Gurl, Emet. (2017). SWOT analysis: A theoretical review.
Hatefi, S. M. (2018). Strategic planning of urban transportation system based on sustainable development dimensions using an integrated SWOT and fuzzy COPRAS approach. Global Journal of Environmental Science and Management, 4(1), 99–112. https://doi.org/10.22034/gjesm.2018.04.01.010
Hutasuhut, Amira Herwindyani, Anggraeni, Wiwik, & Tyasnurita, Raras. (2014). Pembuatan aplikasi pendukung keputusan untuk peramalan persediaan bahan baku produksi plastik blowing dan inject menggunakan metode ARIMA (Autoregressive Integrated Moving Average) di CV. Asia. Jurnal Teknik ITS, 3(2), A169–A174.
Indriaty, Lulu. (2022). SISTEM PENDISTRIBUSIAN BAHAN BAKAR MINYAK (BBM) PT. PERTAMINA OLEH CV. ANUGERAH BERSAMA DI KAMPUNG ASIKI DISTRIK JAIR KABUPATEN MERAUKE. Jurnal Ekonomi Dan Bisnis, 13(2), 36–41. https://doi.org/10.55049/jeb.v13i2.97
Irawan, Irawan. (2018). Analysis Of Shipâ€TM s Operating Costs For Fuel Distribution In Eastern Indonesia Region. Advances in Transportation and Logistics Research, 1, 1300–1309. https://doi.org/10.25292/atlr.v1i1.121
Khair, Ummul, Fahmi, Hasanul, Al Hakim, Sarudin, & Rahim, Robbi. (2017). Forecasting error calculation with mean absolute deviation and mean absolute percentage error. Journal of Physics: Conference Series, 930(1), 12002. https://doi.org/10.1088/1742-6596/930/1/012002
Kushariyadi, Kushariyadi, & Sugito, Bambang. (2022). Optimasi Distribusi Transportasi Bahan Bakar Minyak (BBM) Jenis Bio Solar di Wilayah Jawa Tengah. NUSANTARA: Jurnal Ilmu Pengetahuan Sosial, 9(2), 162–169. https://doi.org/10.31004/jpdk.v4i5.6776
Kusuma, Nita, Roestam, Muhammad, & Pasca, Lilia. (2020). The analysis of forecasting demand method of linear exponential smoothing. International Journal of Educational Administration, Management, and Leadership, 7–18.
Liperda, Rahmad Inca, Hardianti, Ismara Khubby, Widyah, Intan Nur, Rahmadini, Ayunda, Fadjri, Nia Azi, & Agustin, Rifqi Rahmadanti. (2022). Simulasi-Optimasi Sistem Transportasi Penentuan Kebutuhan Truk Tangki Pada Proses Distribusi BBM: Studi Kasus TBBM Plumpang. JISI: Jurnal Integrasi Sistem Industri, 9(2), 92–102. https://doi.org/10.24853/jisi.9.2.92-102
Miller, Alex, & Dess, Gregory G. (1993). Assessing Porter’s (1980) model in terms of its generalizability, accuracy and simplicity. Journal of Management Studies, 30(4), 553–585. https://doi.org/10.1111/j.1467-6486.1993.tb00316.x
Mollik, Sazib, Rashid, M. M., Hasanuzzaman, M., Karim, M. E., & Hosenuzzaman, M. (2016). Prospects, progress, policies, and effects of rural electrification in Bangladesh. Renewable and Sustainable Energy Reviews, 65, 553–567. https://doi.org/10.1016/j.rser.2016.06.091
Moner-Girona, M., Solano-Peralta, M., Lazopoulou, M., Ackom, E. K., Vallve, X., & Szabó, S. (2018). Electrification of Sub-Saharan Africa through PV/hybrid mini-grids: Reducing the gap between current business models and on-site experience. Renewable and Sustainable Energy Reviews, 91, 1148–1161. https://doi.org/10.1016/j.rser.2018.04.018
Nurlathifah, Euis, Pudjiantoro, Fathin Kusumo Pramesti, Ammar, Naufal, Sutopo, Wahyudi, & Yuniaristanto, Yuniaristanto. (2020). Optimalisasi rute distribusi bbm dengan penerapan capacitated vehicle routing problem dan excel solver di kabupaten magetan. Teknoin, 26(2), 116–126. https://doi.org/10.20885/teknoin.vol26.iss2.art3
Prasetyo, Erwin Indra, & Usman, Indrianawati. (2023). Optimalisasi Jumlah dan Lokasi Gudang Distribusi Pupuk Bersubsidi di Jawa Timur Akibat Perubahan Regulasi Pemerintah. Jurnal Manajemen Dan Inovasi (MANOVA), 6(1), 105–121. https://doi.org/10.15642/manova.v6i1.1176
Prawin, Dina Lorensa, Fallo, Yosefina Marice, Metboki, Bernadina, & Sipayung, Boanerges Putra. (2022). Efektivitas Distribusi Pupuk Bersubsidi di Kecamatan Biboki Monleu Kabupaten Timor Tengah Utara (Studi Kasus Desa Oepuah). Prosiding Seminar Nasional Pembangunan Dan Pendidikan Vokasi Pertanian, 3(1), 118–137.
Robial, Siti Muawanah. (2018). Perbandingan Model Statistik Pada Analisis Metode Peramalan Time Series:(STUDI KASUS: PT. TELEKOMUNIKASI INDONESIA, TBK KANDATEL SUKABUMI). SANTIKA Is a Scientific Journal of Science and Technology, 8(2), 823–838. https://doi.org/10.37150/jsa.v8i2.400
Sa’adah, Ana Fitriyatus, Fauzi, Akhmad, & Juanda, Bambang. (2017). Peramalan penyediaan dan konsumsi bahan bakar minyak indonesia dengan model sistem dinamik. Jurnal Ekonomi Dan Pembangunan Indonesia, 17(2), 2. https://doi.org/10.21002/jepi.v17i2.661
Salazar, Oswaldo Viteri, Ramos-Martín, Jesús, & Lomas, Pedro L. (2018). Livelihood sustainability assessment of coffee and cocoa producers in the Amazon region of Ecuador using household types. Journal of Rural Studies, 62, 1–9. https://doi.org/10.1016/j.jrurstud.2018.06.004
Santiari, Ni Putu Linda, & Rahayuda, I. Gede Surya. (2021). Analisis perbandingan metode single exponential smoothing dan single moving average dalam peramalan pemesanan. Jurnal Informatika Universitas Pamulang, 6(2), 312–318. https://doi.org/10.32493/ informatika.v6i2.10135
Statistik, Badan Pusat. (2021). Berita resmi statistik. Bps. Go. Id, 27, 1–52.
Suparjo, Suparjo. (2017). Metode Saving Matrix Sebagai Alternatif Efisiensi Biaya Distribusi (Studi Empirik Pada Perusahaan Angkutan Kayu Gelondongan Di Jawa Tengah). Media Ekonomi Dan Manajemen, 32(2). https://doi.org/10.24856/mem.v32i2. 513
Ul Haq, Dliyaa. (2020). Analisis Formulasi Strategi Pengembangan Bisnis Virtual Gas Pipeline (CNG & LNG). IPB university.
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