Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi) Journal Research of Social Science, Economics, and Management
Dinariyana, Anak Agung Bagus
Unknown Affiliation
Decision Sciences, Operations Research & Management Environmental Science

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
THE OPTIMUM DECISION OF OIL AND GAS PRODUCTION SPREADSHEET MODELLING Winarto, Rudy; Dinariyana, Anak Agung Bagus
JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi). Vol 10 No 3 (2023): JMBI UNSRAT Volume 10 Nomor 3
Publisher : FEB Universitas Sam Ratulangi Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35794/jmbi.v10i3.52765

Abstract

The optimum revenue of an oil and gas industry is subject to the production volume deliverability and relatively volatile product market price which depends on demand and supply level. Naturally, mature production wells will be dominantly producing water instead of oil and gas, meanwhile, the central processing facilities are having their limited capacity to handle it. This study intends to gain the optimum oil and gas production in mature fields by deciding the opening of well choke valves and considering process facilities limitations as constraints. The model is developed using a simplex LP-based spreadsheet. Three wellhead facilities with a total of forty-seven active producing wells gas, oil, and water data are taken as input parameters. The developed model is validated using the last ten days’ actual production data to identify the error margin consistency, a total of 1,410 data combinations were used. It results in an average error margin of 4.57%-gas and 0.9%-oil. The model could be used as an operator decision reference in opening the well’s choke valve to get the optimum production rate, a minor adjustment might need considering the dynamic process parameter condition. Keywords: optimal production, mature wells, choke valve opening, spreadsheet modeling
Evaluating Chemical/Oil Tanker Investments using DEMATEL and ANP: A Case Study in PT ABC Hendriyadi, Hendriyadi; Ciptomulyono, Udisubakti; Dinariyana, Anak Agung Bagus
Journal Research of Social Science, Economics, and Management Vol. 4 No. 12 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i12.921

Abstract

Investment in chemical/oil tankers is crucial for enhancing operational performance and maintaining competitiveness in the global shipping industry. The background of this research is the need to provide solutions to challenges in ship investments that often fail to meet targets, whether in technical performance, compliance with international regulations, or cost efficiency. These conditions affect the competitiveness of companies, as most chemical/oil tanker fleets are over 15 years old, require high maintenance costs, and pose risks of detention by Port State Control (PSC) and rejection by major oil companies. The methodological approach is the integration of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) to analyze the selection of chemical/oil tanker ship investments. DEMATEL is used to identify cause-effect relationships so that dominant factors can be prioritized. Once the dominant factors are obtained, ANP processes the relationships and dependencies among criteria in the network model and determines more precise weighting. Subsequently, priority calculations are carried out by constructing a supermatrix that encapsulates the relationships among elements. This supermatrix is analyzed to produce final priorities for determining the best alternative. The research data were collected through questionnaires and interviews with stakeholders, including top management and experts. DEMATEL revealed key influencing factors such as Initial Investment, Operating Costs, Regulatory Compliance, Market and Geopolitical Risks, and Technological Risks. These factors are analyzed in the ANP method to obtain a model, network, and pairwise comparisons.
Evaluating Chemical/Oil Tanker Investments using DEMATEL and ANP: A Case Study in PT ABC Hendriyadi, Hendriyadi; Ciptomulyono, Udisubakti; Dinariyana, Anak Agung Bagus
Journal Research of Social Science, Economics, and Management Vol. 4 No. 12 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i12.921

Abstract

Investment in chemical/oil tankers is crucial for enhancing operational performance and maintaining competitiveness in the global shipping industry. The background of this research is the need to provide solutions to challenges in ship investments that often fail to meet targets, whether in technical performance, compliance with international regulations, or cost efficiency. These conditions affect the competitiveness of companies, as most chemical/oil tanker fleets are over 15 years old, require high maintenance costs, and pose risks of detention by Port State Control (PSC) and rejection by major oil companies. The methodological approach is the integration of Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP) to analyze the selection of chemical/oil tanker ship investments. DEMATEL is used to identify cause-effect relationships so that dominant factors can be prioritized. Once the dominant factors are obtained, ANP processes the relationships and dependencies among criteria in the network model and determines more precise weighting. Subsequently, priority calculations are carried out by constructing a supermatrix that encapsulates the relationships among elements. This supermatrix is analyzed to produce final priorities for determining the best alternative. The research data were collected through questionnaires and interviews with stakeholders, including top management and experts. DEMATEL revealed key influencing factors such as Initial Investment, Operating Costs, Regulatory Compliance, Market and Geopolitical Risks, and Technological Risks. These factors are analyzed in the ANP method to obtain a model, network, and pairwise comparisons.
Co-Authors Hendriyadi, Hendriyadi Udisubakti Ciptomulyono Winarto, Rudy