Dadan Kusdiana
Directorate of New Renewable Energy and Energy Conservation, Ministry of Energy and Mineral Resources

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MULTI OBJECTIVES FUZZY ANT COLONY OPTIMIZATION DESIGN OF SUPPLY PATH SEARCHING Ditdit N Utama; Taufik Djatna; Erliza Hambali; Marimin .; Dadan Kusdiana
Jurnal Ilmu Komputer dan Informasi Vol 5, No 2 (2012): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1748.201 KB) | DOI: 10.21609/jiki.v5i2.194

Abstract

One of problem faced in supply chain management is path searching. The best path depend not only on distance, but also other variables, such as: the quality of involved companies, quality of delivered product, and other value resulted by quality measurement. Commonly, the ant colony optimization could search the best path that has only one objective path. But it would be difficult to be adopted, because in the real case, the supply path has multi path and objectives (especially in palm oil based bioenergy supply). The objective of this paper is to improve the ant colony optimization for solving multi objectives based supply path problem by using fuzzy ant colony optimization. The developed multi objectives fuzzy ant colony optimization design was explained here, that it was used to search the best supply path. Salah satu masalah yang dihadapi dalam Supply Chain Management adalah pencarian jalur. Jalur terbaik tidak hanya tergantung pada jarak, tetapi juga variabel lain, seperti: kualitas perusahaan yang terlibat, kualitas produk yang dikirimkan, dan nilai lain yang dipengaruhi oleh pengukuran kualitas. Umumnya, Ant Colony Optimization bisa mencari jalur terbaik yang hanya memiliki satu jalur objektif. Tapi akan sulit untuk diadopsi, karena dalam kasus nyata, jalur supply memiliki banyak jalur dan tujuan (khususnya pasokan minyak kelapa sawit berbasis bioenergi). Tujuan dari penelitian ini adalah untuk meningkatkan Ant Colony Optimization dalam menyelesaikan masalah jalur supply dengan menggunakan Fuzzy Ant Colony Optimization. Tujuan pengembangan Fuzzy Ant Colony Optimization dijelaskan disini, yaitu digunakan untuk mencari jalur supply terbaik.
A New Approach for East Natuna Gas Utilization Fiqi Giffari; Paramita Widiastuti; Lisna Rosmayati; Nofrizal Nofrizal; Dadan Kusdiana
Scientific Contributions Oil and Gas Vol. 44 No. 3 (2021): SCOG
Publisher : Testing Center for Oil and Gas LEMIGAS

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Abstract

The Natuna Gas Field has a potential gas reserve of 222 TCF, but this gas field has a very high CO, content of up to 71%. The high composition of CO, content and its location, which is too far from the market, causes the best option to use the Natuna's gas by converting it to liquid. Dimethyl Ether (DME) is a choice of liquid products that have a good potential as alternative energy for household LPG. A more in-depth study of the options for using the Natuna's gas into DME product via direct process was carried out in this study. The methodology used is initiated by determining the type of facilities needed and then conducting a process simulation to determine the mass balance, energy balance, and design of the equipment used. Process simulation and economic simulation show that the Natuna Gas Field is technically feasible to be developed into a DME product with a capacity of 1,800 MMSCFD, resulting in 21,245 MT/day DME. Upstream and downstream integration economic scheme produces a better economic result (ROI: 6.34%) compared to an upstream economic scheme (ROI: 0.63%). Apart from that, tax incentives on the downstream scheme can increase the project economy, and the scenario of tax holiday is the most beneficial for developers and the government.