Hasil Pencarian  ::  Simpan CSV :: Kembali

"[ABSTRAKKajian dilakukan dengan menganalisis seluruh komponen biaya yang mempengaruhiketetapan harga CNG, dengan simulasi Monte Carlo dengan bantuan perangkat lunakCrystal Ball yang mengacu pada kebijakan pemerintah berupa Peraturan MenteriESDM Nomor 19 Tahun 2010 yang telah menetapkan formula harga jual bahan bakargas untuk transportasi dengan mempertimbangkan harga di titik penyerahan (hulu),toll fee, investasi SPBG, biaya pengoperasian dan pemeliharaan SPBG, margin danpajak. Pada Kajian ini mengupas toll fee dengan memilih supply chain yang dianggaptepat untuk wilayah Jawa Bagian Barat. Hasil Kajian Harga CNG untuk RegionalJawa Bagian Barat, dimana simulasi dilakukan di wilayah DKI Jakarta didapatkanbahwa Keputusan Menteri Energi dan Sumber Daya Mineral Nomor: 2932K/12/MEM/2010: ?Harga Jual Bahan Bakar Gas yang digunakan untuk Transportasidi Wilayah Jakarta termasuk Bogor, Bekasi, Depok dan Tangerang adalah Rp3.100,00 (tiga ribu seratus rupiah) untuk tiap 1 (satu) Liter Setara Premium (LSP)termasuk pajak-pajak.? merupakan harga kompetitif yang dapat dilaksanakan untukwilayah Jawa bagian Barat. Dilihat dari hasil rekalkulasi yaitu harga CNG padatapping point Bitung sebesar $. 0.223 atau Rp. 2819,82 dan harga aggregasi sebesarRp. 2737,58 dengan harga riil berada pada rentang harga Rp.1857,43 hingga Rp.3890,32 (berdasarkan Indeks Harga Konsumen April 2015) dan pada wilayah tapingpoin Nagrak sebesar $. 0.209 atau Rp. 2631,02 dan harga aggregasi sebesar Rp.2795,51 dengan harga riil berada pada rentang harga Rp.2227,59 hingga Rp. 4533.44.

---

ABSTRACTThe study was conducted by analyzing all the components that affect the cost of provision of CNG price, with a Monte Carlo simulation with the help of Crystal Ball software which refers to government policies such as the Minister of Energy and Mineral Resources Regulation No. 19 of 2010, which has set the pricing formula of gas fuel for transportation by considering the price at the point of delivery (upstream), toll fee, SPBGs investment, operating and maintenance costs SPBGs, margins and taxes. On This study peeling toll fee by choosing supply chain that is considered appropriate for the region Western of Java. Study results CNG price to Regional Java, where the simulation is done in Jakarta found that the Decree of the Minister of Energy and Mineral Resources No. 2932 K / 12 / MEM / 2010: "Selling Price Gas Fuel used for transportation in Jakarta area including Bogor, Bekasi, Depok and Tangerang is $ 3100.00 (three thousand one hundred dollars) for every 1 (one) liter Premium Equivalent (LSP), including taxes. "a competitive price that can be implemented for the region western of Java. Judging from the results of recalculation is the price of CNG at the tapping point Bitung of $. 0.223 or Rp. 2819.82 and aggregation price of Rp. 2737.58 with the real price is in the range of price Rp.1857, 43 up to Rp. 3890.32 (based on the Consumer Price Index April 2015) and in the region of Nagrak tapping points. $.0.209 or Rp. 2631.02 and aggregation price of Rp. 2795.51 with the real price is in the range of price Rp.2227,59 up to Rp.4533.44.;The study was conducted by analyzing all the components that affect the cost of provision of CNG price, with a Monte Carlo simulation with the help of Crystal Ball software which refers to government policies such as the Minister of Energy and Mineral Resources Regulation No. 19 of 2010, which has set the pricing formula of gas fuel for transportation by considering the price at the point of delivery (upstream), toll fee, SPBGs investment, operating and maintenance costs SPBGs, margins and taxes. On This study peeling toll fee by choosing supply chain that is considered appropriate for the region Western of Java. Study results CNG price to Regional Java, where the simulation is done in Jakarta found that the Decree of the Minister of Energy and Mineral Resources No. 2932 K / 12 / MEM / 2010: "Selling Price Gas Fuel used for transportation in Jakarta area including Bogor, Bekasi, Depok and Tangerang is $ 3100.00 (three thousand one hundred dollars) for every 1 (one) liter Premium Equivalent (LSP), including taxes. "a competitive price that can be implemented for the region western of Java. Judging from the results of recalculation is the price of CNG at the tapping point Bitung of $. 0.223 or Rp. 2819.82 and aggregation price of Rp. 2737.58 with the real price is in the range of price Rp.1857, 43 up to Rp. 3890.32 (based on the Consumer Price Index April 2015) and in the region of Nagrak tapping points. $.0.209 or Rp. 2631.02 and aggregation price of Rp. 2795.51 with the real price is in the range of price Rp.2227,59 up to Rp.4533.44.;The study was conducted by analyzing all the components that affect the cost of provision of CNG price, with a Monte Carlo simulation with the help of Crystal Ball software which refers to government policies such as the Minister of Energy and Mineral Resources Regulation No. 19 of 2010, which has set the pricing formula of gas fuel for transportation by considering the price at the point of delivery (upstream), toll fee, SPBGs investment, operating and maintenance costs SPBGs, margins and taxes. On This study peeling toll fee by choosing supply chain that is considered appropriate for the region Western of Java. Study results CNG price to Regional Java, where the simulation is done in Jakarta found that the Decree of the Minister of Energy and Mineral Resources No. 2932 K / 12 / MEM / 2010: "Selling Price Gas Fuel used for transportation in Jakarta area including Bogor, Bekasi, Depok and Tangerang is $ 3100.00 (three thousand one hundred dollars) for every 1 (one) liter Premium Equivalent (LSP), including taxes. "a competitive price that can be implemented for the region western of Java. Judging from the results of recalculation is the price of CNG at the tapping point Bitung of $. 0.223 or Rp. 2819.82 and aggregation price of Rp. 2737.58 with the real price is in the range of price Rp.1857, 43 up to Rp. 3890.32 (based on the Consumer Price Index April 2015) and in the region of Nagrak tapping points. $.0.209 or Rp. 2631.02 and aggregation price of Rp. 2795.51 with the real price is in the range of price Rp.2227,59 up to Rp.4533.44., The study was conducted by analyzing all the components that affect the cost of provision of CNG price, with a Monte Carlo simulation with the help of Crystal Ball software which refers to government policies such as the Minister of Energy and Mineral Resources Regulation No. 19 of 2010, which has set the pricing formula of gas fuel for transportation by considering the price at the point of delivery (upstream), toll fee, SPBGs investment, operating and maintenance costs SPBGs, margins and taxes. On This study peeling toll fee by choosing supply chain that is considered appropriate for the region Western of Java. Study results CNG price to Regional Java, where the simulation is done in Jakarta found that the Decree of the Minister of Energy and Mineral Resources No. 2932 K / 12 / MEM / 2010: "Selling Price Gas Fuel used for transportation in Jakarta area including Bogor, Bekasi, Depok and Tangerang is $ 3100.00 (three thousand one hundred dollars) for every 1 (one) liter Premium Equivalent (LSP), including taxes. "a competitive price that can be implemented for the region western of Java. Judging from the results of recalculation is the price of CNG at the tapping point Bitung of $. 0.223 or Rp. 2819.82 and aggregation price of Rp. 2737.58 with the real price is in the range of price Rp.1857, 43 up to Rp. 3890.32 (based on the Consumer Price Index April 2015) and in the region of Nagrak tapping points. $.0.209 or Rp. 2631.02 and aggregation price of Rp. 2795.51 with the real price is in the range of price Rp.2227,59 up to Rp.4533.44.]"

"ABSTRAKOptimalisasi Stokastik Tindakan Pencegahan Resiko Rantai Suplai-Sebuah Metodologi untuk Meningkatkan Ketahanan Suplai Bahan Bakar Minyak Bersubsidi di Indonesia. Metode berdasarkan simulasi Monte Carlo untuk opimasi stokastik pada penilaian risiko diperlukan untuk menyelesaikan masalah kompleks di dalam jaminan ketersediaan bahan bakar bersubsidi di Indonesia.Untuk mengatasi kendala distribusi BBM bersubsidi di Indonesia yang memiliki populasi penduduk keempat terpadat di dunia lebih dari 250.000.000 jiwa dengan 66,5 populasi masyarakat produktif, dan memiliki lebih dari 17.000 pulau dengan populasi penduduk yang terpusat hanya di wilayah ibukota Negara diperlukan system pengawasan dan penanganan risiko yang terukur serta terintegrasi demi jaminan ketersediaan BBM bersubsidi. Dengan mempertimbangkan masalah kompleks tersebut, penelitian ini sangat dipengaruhi oleh ketidakpastian dan probabilitas.Oleh karena itu, penelitian ini menggunakan metode simulasi optimasi stokastik berdasarkan sampling Monte Carlo pada kerangka kerja analisis risiko dengan keterbaruan parameter ldquo;FIRST rdquo;, yang dikombinasi dengan Analisis Sensitifitas untuk menentukan prioritas penanganan mitigasi risiko yang terintegrasi agar implikasi dari rancangan model yang baru dari penelitian ini dapat memberikan waktu mitigasi yang lebih cepat.Hasil dari penelitian ini dapat mengidentifikasi ide-ide inovatif pada audit berdasarkan risiko pada manajemen risiko rantai pasok dan parameter FIRST Fairness, Independence, Reliable, Sustainable, Transparent dalam penilaian risiko. Selain itu, integrasi pada analisis risiko menghasilkan tingkatan prioritas pada analisis sensitivitas dengan temuan yang menunjukkan bahwa waktu mitigasi yang baru lebih cepat sebanyak 60 dari waktu mitigasi risiko dengan metode yang umum.Kata kunci: faktor ldquo;FIRST rdquo;; Sampling Monte Carlo; Simulasi stokastik; ketahanan pasokan, keamanan, tingkat perubahan.

---

ABSTRACTMonte Carlo simulation based methods for stochastic optimization of risk measures is required to solve complex problems in supply security of subsidized fuel oil in Indonesia. In order to overcome constraints in distribution of subsidized fuel in Indonesia, which has the fourth largest population in the world mdash more than 250,000,000 people with 66.5 of productive population, and has more than 17,000 islands with its population centered around the nation 39 s capital only mdash it is necessary to have a measurable and integrated risk analysis with monitoring system for the purpose of supply security of subsidized fuel. In consideration of this complex issue, uncertainty and probability heavily affected this research. Therefore, this research did the Monte Carlo sampling based stochastic simulation optimization with the state of the art FIRST parameter combined with the Sensitivity Analysis to determine the priority of integrated risk mitigation handling so that the implication of the new model design from this research may give faster risk mitigation time. The results of the research identified innovative ideas of risk based audit on supply chain risk management and new FIRST Fairness, Independence, Reliable, Sustainable, Transparent parameters on risk measures. In addition to that, the integration of risk analysis confirmed the innovative level of priority on sensitivity analysis. Moreover, the findings showed that the new risk mitigation time was 60 faster than the original risk mitigation time.Keywords FIRST factor Monte Carlo sampling Stochastic simulation Supply security, rate of change"