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All Journal Journal of Social Research Jurnal Locus Penelitian dan Pengabdian Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies
Ruri Agung Wahyuono
Institut Teknologi Sepuluh Nopember
Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Mathematics Neuroscience Social Sciences

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Kajian Kelayakan Pembangunan Pembangkit Listrik Tenaga Surya pada Lokasi Terpilih di Maluku Papua Berdasarkan Hasil Pengujian Multi-Criteria Decision Making Najihun Ghulam Halim; Ruri Agung Wahyuono
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 5 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i5.5859

Abstract

Ketersediaan listrik merupakan salah satu faktor penentu keberhasilan pembangunan daerah dan percepatan pertumbuhan ekonomi di Indonesia. Sebagai wilayah tertinggal, Maluku dan Papua mendapatkan komitmen dari Pemerintah melalui PLN untuk meningkatkan pasokan listrik. Namun, pembangunan Pembangkit Listrik Tenaga Mesin Gas (PLTMG) yang masif menimbulkan kekhawatiran terhadap lingkungan, seperti emisi udara dan limbah cair. Di sisi lain, letak Indonesia di sekitar garis khatulistiwa memberikan potensi besar bagi pengembangan Pembangkit Listrik Tenaga Surya (PLTS) di wilayah tersebut. Penelitian ini bertujuan untuk menentukan lokasi terpilih untuk pembangunan PLTS di Maluku dan Papua serta menganalisis kelayakan teknis dan ekonominya. Metode yang digunakan adalah kombinasi Analytical Hierarchy Process (AHP) untuk menghitung bobot kriteria dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk pemeringkatan lokasi, dilanjutkan dengan simulasi teknis menggunakan PVSyst dan perhitungan ekonomi (LCOE, NPV, ROI, IRR). Hasil penelitian menunjukkan bahwa Timika terpilih sebagai lokasi utama. Analisis teknis menghasilkan energi 8.525.229 kWh/tahun dengan performance ratio 80,43% (layak menurut IEC 61724). Analisis ekonomi menghasilkan LCOE Rp2.393/kWh (di bawah BPP setempat), NPV positif Rp48,43 miliar, ROI 173%, dan IRR 7,2% (dengan subsidi 23%). Implikasi penelitian ini adalah bahwa pengembangan PLTS di Timika layak secara teknis dan ekonomi, serta metode AHP-TOPSIS dapat direplikasi untuk pemilihan lokasi proyek energi terbarukan lainnya di Indonesia Timur.
Analysis Of Critical Success Factors In Penetration Testing Delivery Projects At Pt. Abcd Using A Fuzzy Delphi Method Zulfirman Zulfirman; Ruri Agung Wahyuono
Eduvest - Journal of Universal Studies Vol. 6 No. 7 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i7.53305

Abstract

The success of penetration testing project delivery is influenced not only by technical factors but also by an organization’s ability to manage critical operational and managerial elements in an integrated manner. In the case of PT. ABCD, recurring challenges such as dynamic scope changes and suboptimal resource coordination highlight the absence of a validated Critical Success Factors (CSFs) framework. Therefore, this study aims to identify, validate, and prioritize the key determinants that contribute to successful penetration testing project delivery. The research began with a comprehensive synthesis of multidisciplinary literature from project management, information technology, agile practices, and cybersecurity domains, which was then combined with internal organizational lessons learned. This hybrid approach produced 11 preliminary CSF candidates. To ensure the robustness of the research instrument, classical statistical tests were applied, namely Pearson Product Moment validity testing and Cronbach’s Alpha reliability analysis, which confirmed the consistency and adequacy of the measurement tool. Subsequently, the CSF candidates were evaluated by 21 experts representing Project Management Office, Sales & Business, and Technical/Pentester functions. The Fuzzy Delphi Method was employed to accommodate uncertainty in expert judgment, utilizing triangular fuzzy numbers, expert agreement levels, threshold distance (d) for consensus measurement, and alpha-cut defuzzification for final selection. The results indicate that 10 of the 11 CSFs achieved strong consensus, meeting the criteria of EA ≥ 75%, d ≤ 0.2, and alpha-cut ≥ 0.75. The final prioritization shows that communication effectiveness, stakeholder coordination, technical team readiness, and adaptive management are the most influential success factors.
Planning of Oil and Gas Fields at PT JFS Using the AHP-Topsis Method as a Candidate for the Application of CCUS Technology Based on CO2 Injection EOR Jonathan Fritz Simamora; Ruri Agung Wahyuono
Journal of Social Research Vol. 5 No. 8 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i8.3361

Abstract

PT JFS’s mature oil and gas fields have experienced declining reservoir pressure, increasing water cut, and reduced productivity due to long-term reservoir depletion. To support efforts to enhance oil production while reducing carbon emissions, the integration of Carbon Capture, Utilization, and Storage (CCUS) with CO?-based Enhanced Oil Recovery (CO?-EOR) presents a significant implementation opportunity. This research aimed to determine the most potential field priorities for CO?-EOR implementation at PT JFS using a Multi-Criteria Decision-Making (MCDM) approach. Five alternative fields—Prabu, Lima, Ades, Pendekar, and Rambo—were evaluated based on five criteria and thirteen subcriteria identified through Focus Group Discussions with Subject Matter Experts (SMEs). The Analytical Hierarchy Process (AHP) was applied to determine the criteria weights, while the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to rank alternatives based on their proximity to the ideal solution. The results showed that Reservoir Properties had the highest weight (0.438), while Production Realization (0.215) and Permeability (0.183) were the most influential factors at the subcriterion level. Based on the TOPSIS analysis, the Ades field was selected as the highest-priority candidate, with a preference value of 0.865, followed by Prabu, Lima, and Pendekar, while Rambo ranked as the lowest-priority alternative. The developed AHP-TOPSIS model was validated using a case study at PT ABC, in which the Sukowan field was identified as the most feasible candidate compared with other alternatives, demonstrating the model’s consistency with actual technical and operational considerations. This model can serve as an objective, systematic, and consistent decision-support tool for CCUS project planning and has the potential for application in other oil and gas fields with similar characteristics.
Evaluation of Gas Flare Recovery System Selection Using the Ahp Method to Increase Gas Sales Potential at PT Xyz's Oil and Gas Fields Sabdo Waluyo; Ruri Agung Wahyuono
Journal of Social Research Vol. 5 No. 8 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i8.3362

Abstract

Flare gas utilization has become an important issue in the oil and gas industry due to its economic potential and contribution to greenhouse gas emissions. Continuous gas flaring not only results in energy losses but also limits opportunities to increase gas sales potential. Therefore, selecting an appropriate Flare Gas Recovery (FGR) technology is essential to support operational efficiency and emission reduction targets, including the Zero Routine Flaring by 2030 initiative. This study aims to evaluate and determine the most suitable FGR technology alternative for PT XYZ’s oil and gas field by applying a systematic multi-criteria decision-making approach. The research employed the Analytic Hierarchy Process (AHP) method to evaluate three FGR alternatives: LPG extraction, High-Pressure (HP) fuel gas recovery, and recycle compression. The evaluation criteria included cost, implementation time, operability, recovered condensate potential, and manpower requirements. Data were collected through expert interviews, technical document analysis, operational data review, and process simulation evaluation. The results showed that recycle compression (T3) achieved the highest priority based on the AHP calculation, with a final priority value of 0.4070, followed by LPG recovery (T1) with a value of 0.3315 and HP fuel gas recovery (T2) with a value of 0.2615. Sensitivity analysis confirmed that T3 provided the most stable decision under various changes in evaluation criteria. This study concludes that the AHP-based evaluation model can support objective technology selection and provide a practical framework for improving gas utilization, reducing flaring emissions, and enhancing operational efficiency in upstream oil and gas facilities.
Optimization of the Utilization of Idle Gas Turbine Generator Assets Using the AHP Method To Reduce Co? Emissions and Improve Operational Efficiency at the CPPG Power Plant of PT ABC Mochamat Dwi Sutrisno; Ruri Agung Wahyuono
Journal of Social Research Vol. 5 No. 8 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i8.3371

Abstract

Gas turbine generator (GTG) assets in upstream oil and gas facilities play an important role in ensuring a continuous power supply for production processes. However, aging equipment, declining reliability, increasing maintenance costs, and limited spare parts availability have become major challenges in maintaining operational efficiency. Meanwhile, the utilization of idle assets provides an opportunity to optimize existing resources, reduce the need for new investments, and support emission reduction targets. This study aims to determine the most suitable alternative for utilizing idle GTG assets at the CPPG Power Plant of PT ABC by integrating technical, economic, operational, policy, and environmental considerations. The research employed a case study approach using the Analytical Hierarchy Process (AHP) method. Data were collected through field observations, technical interviews, focus group discussions, operational documents, maintenance records, cost assessments, fuel consumption data, and expert judgments from ten subject matter experts. The results showed that technical criteria had the highest priority weight of 0.317, followed by economic criteria (0.259), operability criteria (0.189), environmental criteria (0.138), and policy criteria (0.096). The AHP synthesis identified AL3, which involved the relocation of two GTGs from Field T and one GTG from Field L, as the optimal alternative with a priority value of 0.391. This alternative provides an 11 MW output capacity, the lowest estimated maintenance and operational cost of USD 48.04 million, and the highest potential reduction in fuel consumption by 1.05 MMSCFD and CO?e emissions by approximately 22,574 tons/year. In conclusion, the AHP-based decision model effectively supports strategic idle asset utilization decisions by balancing operational reliability, economic efficiency, and environmental sustainability.
Integration of Life Cycle Assessment and Policy Analysis for Improving Sustainable Coal Ash Management: A Case Study in South Sumatra, Indonesia Yuga Prayna Pawitra; Ridho Bayuaji; Reny Nadlifatin; Ruri Agung Wahyuono
Journal Research of Social Science, Economics, and Management Vol. 5 No. 9 (2026): 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.v5i9.1420

Abstract

FABA production in South Sumatra reaches 1.2–1.8 million tons annually, yet landfill disposal dominates and causes significant environmental impacts (LCA score: 40.29). The reclassification of FABA as non-hazardous waste under Government Regulation No. 22/2021 creates utilization opportunities; however, evidence-based regional policies remain limited. This research examines the integration of LCA and policy analysis to formulate recommendations for sustainable FABA management in South Sumatra. A convergent parallel design was applied, using LCA to compare landfill, paving block, and compost scenarios, and AHP involving 33 stakeholders to prioritize policy criteria and alternatives. LCA results show that compost has the lowest environmental impact (5.62), followed by paving blocks (~18.00) and landfill (40.29). AHP prioritizes environmental (32.0%) and social (24.5%) aspects, with compost as the top alternative (46.5%). The LCA–AHP integration indicates strong alignment between scientific evidence and stakeholder preferences. Based on these results, policy recommendations are proposed across short-, medium-, and long-term horizons, supported by a stakeholder responsibility matrix to ensure effective implementation. The study provides integrated policy recommendations and supports circular economy development, multi-criteria decision-making, and SDGs 12, 13, and 15, positioning South Sumatra as a potential model for sustainable FABA management
Implementation of the Fuzzy AHP, PROMETHEE II, and VIKOR Methods in Selecting Priority Projects in the Utilities Area of the PT ABC Refinery Dwiky Nugraha; Vita Ratnasari; Ridho Bayuaji; Ruri Agung Wahyuono
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (2026): 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.v5i12.1629

Abstract

The Utilities Plant at PT ABC’s LNG Plant has experienced declining reliability due to aging infrastructure. Data from the 2019–2024 period showed that 8 out of 13 Process Train operational failure cases were attributed to utility area failures, resulting in losses amounting to hundreds of billions of rupiahs. Capital investment evaluation (CAPEX) has traditionally focused primarily on financial indicators without incorporating non-financial parameters. This study applied a three-stage hybrid multicriteria decision-making (MCDM) model consisting of Fuzzy Analytical Hierarchy Process (FAHP) based on Buckley’s approach, PROMETHEE II, and VIKOR to optimize the selection of eight strategic project alternatives. The FAHP results identified Safety (35.06%) and Reliability (22.48%) as the highest-priority criteria. The PROMETHEE II method ranked HV Transformer Replacement (A3) as the first priority (net flow = +0.5308) and DCS Upgrade (A2) as the second priority (net flow = +0.5223). However, the Acceptable Advantage test in the VIKOR method indicated a very small difference in the compromise index (?Q = 0.0469 < 0.1429), suggesting that the ranking difference between the top alternatives was not sufficiently significant. Sensitivity analysis within the ±5% range resulted in shifts in the priority rankings, confirming the interdependence between power supply reliability and control automation systems. This study recommends HV Transformer Replacement (A3) and DCS Upgrade (A2) as co-priority project alternatives for implementation.
Co-Authors Dwiky Nugraha Jonathan Fritz Simamora Mochamat Dwi Sutrisno Najihun Ghulam Halim Reny Nadlifatin Ridho Bayuaji Sabdo Waluyo Vita Ratnasari Yuga Prayna Pawitra Zulfirman Zulfirman