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PENGEMBANGAN MODEL TERMINAL CURAH CAIR DENGAN METODE SIMULASI DISKRIT Susetyo, Della Pratama; Moeis, Armand Omar; Kunto Wibisono, Dimas
Jurnal Penelitian Transportasi Laut Vol 21, No 2 (2019): Jurnal Penelitian Transportasi Laut
Publisher : Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/transla.v21i2.1329

Abstract

Seiring dengan pertumbuhan ekonomi, konsumsi BBM dan BBG semakin meningkat dari tahun ke tahun. Peningkatan tersebut menyebabkan bertambahnya kuantitas kapal tanker untuk mendistribusikan BBM dan BBG ke lokasi tujuan. Kapasitas pelabuhan tidak dapat mengimbangi kuantitas kapal tanker yang meningkat pesat sehingga terbentuk antrian kapal di pelabuhan. Penelitian ini bertujuan untuk merancang model simulasi untuk mengevaluasi aspek-aspek operasional pada proses bongkar muat BBM dan BBG di sebuah terminal transit di Indonesia agar didapat keputusan investasi yang tepat. Metode sistem diskrit yang digunakan dalam penelitian ini mampu menggambarkan dan mengevaluasi proses dan kegiatan kapal di pelabuhan berdasarkan sistem nyata. Penelitian menunjukkan bahwa perbaikan waktu pada kegiatan bongkar muat kapal menggunakan skenario yang diuji dapat mengurangi antrian kapal dan mengurangi biaya yang harus dikeluarkan. Tiga skenario yang diuji untuk mengurangi waktu antrian kapal adalah penambahan kuantitas jetty, pembuatan prioritas pelayanan kapal Medium Range dan Small 2, dan implementasi simultaneous pumping pada kegiatan bongkar kapal.
Locating a Hub Port in Eastern Indonesia Using Network Analytics Armand Omar Moeis; Nur Faqih Wirawan; Arry Rahmawan Destyanto; Andri D. Setiawan; Bahy Helmi Hartoyo Putra; Teuku Yuri Zagloel; Akhmad Hidayatno
Jurnal Penelitian Transportasi Laut Vol 23, No 2 (2021): Jurnal Penelitian Transportasi Laut
Publisher : Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/transla.v23i2.1695

Abstract

The main, current challenge to the maritime logistics system of Indonesia is the low level of freight transport from its eastern region. The transportation of goods to and from the eastern and western regions of Indonesia must be balanced if efficiency is to be enhanced and costs are to be reduced. One remedy to the current imbalance is increasing the existing economies of scale. This could be achieved by developing a hub port to enable goods to be consolidated and transported efficiently. The present study employs network analytics to determine the best site for a hub port in the eastern region of Indonesia. The coordinates of the ports in that region were analyzed using centrality algorithms and the NetworkX library. Based on analysis result, in perspective of relative distance between ports then Bitung port will be recommended as hub port in eastern Indonesia.
Indonesian Port Cluster Simulation Game: Understanding Complex System Through Simulation Game Armand Omar Moeis; Shara Marcheline; Arry Rahmawan Destyanto; Teuku Yuri Zagloel; Akhmad Hidayatno
Jurnal Penelitian Transportasi Laut Vol 22, No 1 (2020): Jurnal Penelitian Transportasi Laut
Publisher : Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/transla.v22i1.1548

Abstract

Port Cluster is a collection of interdependent and involved companies in related activities in the same port area. Port clusters can be categorized as infrastructure. One of the characteristics of infrastructure is the number of parties involved in a problem, referred to as a Multi-Actor System. In a multi-actor system, policymaking becomes more complicated because it cannot be based on only one party's interests. Policymaking in this domain requires contemporary approaches where one of them is Simulation Gaming. This paper shows how Simulation Gaming can serve as an approach to comprehend the Indonesian Port Cluster, a multi-actor system.
The Development of Stowage Planning Model for General Cargo Ship and Cargo Barge Vessel Rebecca Rouli Samaria; Armand Omar Moeis; Timothy Thamrin Andrew H. Sihombing; Arry Rahmawan Destyanto
Jurnal Penelitian Transportasi Laut Vol 23, No 1 (2021): Jurnal Penelitian Transportasi Laut
Publisher : Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/transla.v23i1.1700

Abstract

As a maritime country whose water area is three times wider than its land, Indonesia has one of the ways to increase the logistic activities especially in adjusting to the development of the industry 4.0 by enhancing the productivity of maritime logistics in a way of streamlining the action at unit terminal containers. Stevedoring is a one of very important logistics activities in port operational ecosystem. In order to optimize the performance of the port, the efficiency of the stowage planning process is done. Some factors which can be evolved in stowage planning are processing time, ship stability, and minimum over stow. This research uses the stowage planning algorithm to develop an application in Python programming language. This application will eventually be used to create a stowage plan map for general cargo ship and cargo barge vessel in by prioritizing the ship stability, as well avoiding low over stow in a short time. With Python programming language a routine operational four hours job that used Microsoft Excel, only requires far less time with 10-15 seconds.
ANALISIS PROBABILISTIK PADA PERHITUNGAN BIAYA PEMBANGKITAN LISTRIK TERARAS PLTN Nuryanti Nuryanti; Akhmad Hidayatno; Suparman Suparman; Erlinda Muslim; Armand Omar Moeis
Jurnal Pengembangan Energi Nuklir Vol 14, No 1 (2012): Juni 2012
Publisher : Pusat Kajian Sistem Energi Nuklir, Badan Tenaga Nuklir Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jpen.2012.14.1.1473

Abstract

ABSTRAKANALISIS PROBABILISTIK PADA PERHITUNGAN BIAYA PEMBANGKITAN LISTRIK TERARAS PLTN. Keputusan strategis investasi pada proyek infrastruktur seperti PLTN menjadi sangat krusial dan memerlukan analisis yang mendalam, termasuk perhitungan keekonomian. Salah satu aspek dari keekonomian proyek pembangkit adalah perhitungan biaya pembangkitan listrik teraras atau Levelized Unit Electricity Cost (LUEC). Proyek PLTN sangat rentan terhadap sejumlah variabel ketidakpastian, oleh karena itu tujuan penelitian ini adalah untuk melakukan perhitungan LUEC PLTN dengan memasukkan sejumlah variabel ketidakpastian,yaitu dengan pendekatan probabilistik. Pada studi ini dilakukan analisis probabilistik dengan teknik Monte Carlo yang mensimulasikan keterkaitan di antara variabel-variabel ketidakpastian dan dilihat pengaruhnya terhadap LUEC. Hasil penelitian menunjukkan terjadinya peningkatan nilai LUEC pada pendekatan probabilistik dibandingkan dengan pendekatan deterministik (dari 9,8246 cent US$/kWh menjadi 11,1907 cent US$/kWh pada AP1000 dan dari 4,7413 cent US$/kWh menjadi 7,3321 cent US$/kWh pada OPR1000). Peningkatan nilai LUEC ini mencerminkan terjadinya dispersi akibat adanya beberapa variabel ketidakpastian yang mungkin terjadi dalam proyek, sehingga LUEC hasil analisis probabilistik ini disebut Risk Adjusted LUEC. Dengan analisis probabilistik dapat pula diketahui probabilitas terjadinya LUEC < 8,5 cent US$/kWh (nilai benchmark), yaitu sebesar 30% pada PLTN AP1000 dan 90% pada PLTN OPR1000.Kata kunci: ketidakpastian, analisis probabilistik, LUEC, PLTN, Monte Carlo ABSTRACTPROBABILISTIC ANALYSIS ON CALCULATION OF LEVELIZED UNIT ELECTRICITY COST (LUEC) OF NUCLEAR POWER PLANT (NPP). Strategic investment decisions on infrastucture project such as NPP development are crucial and require careful analysis, including economic calculation. One aspect of the project economic is calculation of LUEC. NPP project are vulnerable to a number of uncertain variables, therefore the purpose of this study was to perform calculations of NPP’s LUEC under uncertainties, namely probabilistic approach.In this study probabilistic analysis was done by Monte Carlo techniques that simulate the relationship between the uncertainty variables and visible impact on LUEC.The results showed an increase of LUEC value in probabilistic approach compared to deterministic approach (from US$ 9.8246 cents/kWh to US$ 11.1907 cents kWh in AP1000 and from US$ 4.7413 cents kWh to 7.3321 cents US$/kWh in OPR1000). The increase reflects the dispersion due to some uncertainty variables that may occur in the project,so LUEC of probabilistic analysis is called Risk Adjusted LUEC. With this analysis can also be known probability of LUEC < US$ 8.5 cent/kWh (benchmark value), ie by 30% in AP1000 and 90% in OPR1000.Keywords: uncertainties, probabilistic analysis, Monte Carlo technique, NPP
Life Cycle Analysis of Carbon Dioxide Emission Utilization in Enhanced Oil Recovery (EOR) Activity Akhmad Hidayatno; Armand Omar Moeis; Achmad Yusaq Faiz Fadin
Indonesian Journal of Life Cycle Assessment and Sustainability Vol. 1 No. 2 (2017)
Publisher : Indonesian Life Cycle Assessment Network (ILCAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.546 KB) | DOI: 10.52394/ijolcas.v1i2.31

Abstract

The focus of this research is to analyze potential environmental impact in the utilization of carbon dioxide (CO2) as miscible gas injection on Enhanced Oil Recovery (EOR) activity. The reinjection of CO2 would reduce the amount of CO2 release in the air and is considered relatively as a new innovative approach. Responsible innovation (RI) is a research framework that considers aspects of sustainability both in terms of social, economic, and environmental toward an innovation made with five dimensions; reflexivity, deliberation, anticipation, responsiveness, and participation. However, RI does not have a specific quantitative approach to support the analysis. Therefore, this research proposes the use of simplified Life Cycle Assessment (LCA) as the quantitative analysis tool to support the RI analysis, using the case study of Subang Gas-Well, West Java, Indonesia. The case study has four main process units of CO2-Enhanced Oil Recovery, from the Well in Subang, CO2 Recovery, CO2 Transmission and the EOR Oil Well in Jatibarang. Based on the calculation, among the various impact categories, the biggest potential environmental impact is the contribution to acidification impact, followed by photo-oxidant formation, climate change and depletion of abiotic resources.
Designing Gate Assignment Model to Find the Optimum Airport Gate Assignment Order Akhmad Hidayatno; Armand Omar Moeis; Gede Arya Satya Dharma
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 17 No. 1 (2015): JUNE 2015
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (322.446 KB) | DOI: 10.9744/jti.17.1.1-6

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The growth of aviation industry in Indonesia accelerates the escalationof Airport Gate Assignment Problem in the Soekarno Hatta International Airport. The gate assignment issue mainly influence passenger satisfaction over the general flight service. This research was conducted to develop ​​Gate Assignment Optimization in the Soekarno Hatta International Airport, focused on minimizing the number of Un-gated Flights. This paper propose a meta-heuristic approximation approach namely simulated annealing to solve the Gate Assignment Problem. Output of this paper is the aircraft Gate Assignment Order at Terminal 2 Soekarno Hatta International Airport. The result suggests, decreasing number of Un-gated Flights occurred with the implementation of the proposed method. This research may be developed in the future by adding another objective function such as minimizing passenger walking distance and constructing real time based model.
Critical Indicators for Improving Compliance of Fuel Trading Business Entities in Indonesia Husniyadi, Ilham; Moeis, Armand Omar
Jurnal Teknik Industri Vol. 25 No. 1 (2024): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No1.73-82

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Fuel oil is one of Indonesia's most dominant types of energy, making it important to have strict oversight and regulation of its supply and distribution. This research aims to identify compliance indicators for fuel trading business entities in the downstream oil and gas sector and develop guidelines to monitor and improve the level of compliance of these entities. The method used in this research is the Analytical Hierarchy Process (AHP). The results showed ten relevant compliance indicators: waste management, resource use, occupational accident rate, safety training, audits and inspections, regulatory violations, social and community contributions, stakeholder satisfaction, operational efficiency, and tax and financial compliance. Of the ten indicators, the highest weight is obtained from regulatory violations at 42%, followed by the work accident rate at 22%. These findings provide a strong basis for monitoring and improving compliance in the oil and gas trading business and supporting better and sustainable energy management in Indonesia.
Valuation Analysis of Mini Hydro Power Plant Using Value at Risk Method Purnomo, Satria Mulia; Moeis, Armand Omar
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 10 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i10.1166

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The Paris agreement made Indonesia committed to the renewable energy transition. This commitment encourages Indonesia and PLN to make RUPTL which increases the potential for hydropower in Indonesia. This increased potential has attracted investors to invest in the MHP business. However, the MHP business still has risks that make costs fluctuate, disrupting prospects and causing doubts in investment. To overcome this problem, the authors created a financial projection model using a discounted cash flow model with a risk approach using the value at risk monte carlo method so that it can measure MHP valuations more accurately and can provide investment feasibility considerations.  This study examines the financial viability of Mini Hydro Power Plant (PLTM) investments in Indonesia, where renewable energy development faces risks from fluctuating costs and uncertain returns. The research aims to evaluate PLTM project risks using the Value at Risk (VaR) method combined with Monte Carlo simulation, focusing on three key variables: loss factor (7%), operational costs, and water retribution fees. Financial data from a West Sumatran PLTM company was analyzed through discounted cash flow (DCF) modeling with a 3% discount rate, supplemented by 10,000-iteration Monte Carlo simulations at 95% confidence levels. Results indicate positive NPV values under normal conditions (Rp161.6 billion), demonstrating investment feasibility, while sensitivity analysis shows potential 8-22% valuation improvements with reduced loss factors. The study provides investors with a risk-assessment framework and suggests infrastructure optimization could enhance PLTM profitability.
ANALISA DAMPAK RISIKO KEEKONOMIAN DALAM PENGEMBANGAN PROYEK BIODIESEL DENGAN PENDEKATAN VALUE-AT-RISK Ahda, Furqon; Moeis, Armand Omar
Jurnal Kesehatan Tambusai Vol. 5 No. 2 (2024): JUNI 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jkt.v5i2.27382

Abstract

Penelitian ini mengkaji potensi risiko finansial yang terkait dengan pengembangan proyek biodiesel, fokus pada studi kasus PT.DYZ di Tarjun (Kalimantan) dan Marunda (Jawa). Dalam penelitian ini, diterapkan pendekatan komprehensif dengan memanfaatkan teknik Value at Risk (VaR) dan simulasi Monte Carlo untuk mengevaluasi serta menganalisis ketidakpastian finansial yang mungkin timbul dalam proyek tersebut. Tujuan penelitian ini adalah untuk meningkatkan pemahaman mengenai dinamika keuangan proyek biodiesel dan memberikan wawasan untuk merancang strategi mitigasi risiko yang lebih baik. Melalui penerapan VaR, mengukur potensi kerugian yang mungkin dihadapi PT.DYZ dalam berbagai skenario. Selain itu, simulasi Monte Carlo digunakan untuk memodelkan performa keuangan proyek di bawah kondisi pasar yang beragam, memberikan sudut pandang dinamis terhadap eksposur risiko. Hasil penelitian ini memberikan informasi berharga bagi para pemangku kepentingan yang terlibat dalam pengembangan proyek biodiesel, memungkinkan pengambilan keputusan yang informasional dan perbaikan strategi manajemen risiko. Dari hasil pengukuran risiko menggunakan Value at Risk, didapatkan nilai tingkat kepercayaan 95% untuk biodiesel 1000 Tpd Marunda dengan nilai investasi awal $46 Mio, biodiesel 1000 Tpd Tarjun pada tingkat kepercayaan 95% dengan nilai investasi awal $49 Mio, sedangkan untuk biodiesel 1500 Tpd Tarjun, proyek dinyatakan layak pada tingkat kepercayaan 45% dengan nilai investasi awal $58 Mio.