Article Per Year (5 Year)
p-Index From 2021 - 2026
2.777
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Engineering and Management in Industrial System JURNAL SOSIAL HUMANIORA (JSH) EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Jurnal Manajemen Indonesia International Research Journal of Business Studies (E-Journal) Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Locus Penelitian dan Pengabdian Journal Research of Social Science, Economics, and Management Cerdika: Jurnal Ilmiah Indonesia Eduvest - Journal of Universal Studies
Gatot Yudoko
Institut Teknologi Bandung
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Public Health Social Sciences Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Proposed Improvement of Diesel and Jet Fuel Planning Management at PT. OGC Using Six Sigma DMAIC Arif Afrizal; Gatot Yudoko
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.52895

Abstract

PT. OGC faces inaccuracies in diesel and jet fuel forecasting, leading to inventory shortages, higher logistics costs, and potential public dissatisfaction, which also impacts Indonesia's energy self-sufficiency and oil-gas trade deficit. This research proposes improvements to diesel and jet fuel planning management at PT. OGC using the Six Sigma DMAIC methodology to identify root causes of inventory issues and enhance planning accuracy. A mixed-methods approach was employed, combining primary and secondary data with SIPOC analysis, forecast error measurements (MAD, MAPE, DPMO, sigma level), correlation analysis, fishbone diagrams, Pareto charts, and process capability indices (Cp, Cpk). Simulations validated the proposed solutions. Current forecasting accuracy is below acceptable levels: diesel MAPE at 5.89% (exceeding the 5% SLA tolerance) and jet fuel MAPE at 11.26%. Cp and Cpk remained below 1.0. Root causes included weak forecasting methods, misaligned turnaround schedules with demand, and emergency shutdowns. Improvement initiatives reduced forecast errors: the ARIMA–XGBoost hybrid model lowered diesel MAPE to 4.21%, and the SARIMA–LSTM hybrid model reduced jet fuel MAPE to 4.00%. The proposed improvements effectively reduce forecasting errors, increase production stability, and decrease stock problems. Recommendations include adopting hybrid AI/ML forecasting models, aligning turnaround schedules, digitizing preventive maintenance, and implementing a monitoring dashboard with regular audits.
Developing A Project Management Maturity Model to Enhance Execution Performance in Solar EPCProjects: A Case Study of an Engineering, Procurement, and Construction (EPC) Company Iftikar Fadhlirohman Soeroyo; Gatot Yudoko
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.v5i12.1528

Abstract

PT TML Energy, an Engineering, Procurement, and Construction (EPC) company specializing in solar energy projects in Indonesia, experienced recurring project execution delays of 20–40% beyond planned schedules during 2021–2024. A review of project records indicated that these delays stem not from technical limitations but from systemic weaknesses in project management maturity. This study assesses the current level of project management maturity and develops a tailored Project Management Maturity Model to improve execution performance. A mixed-methods approach was applied: qualitative semi-structured interviews with four key informants explored why delays occur, while a quantitative questionnaire of twenty respondents measured maturity across seven PMBOK Knowledge Areas using Crawford’s (2014) Project Management Maturity Model. The qualitative analysis produced seven Knowledge-Area themes and identified five interconnected root causes of delay: absence of integrated pre-project planning, reactive and fragmented procurement, experience-dependent scheduling, informal communication, and absence of organizational learning. While the questionnaire placed the company at Level 4 (mean = 3.86), triangulation with interview evidence revealed a self-assessment inflation of approximately 1.3 levels, indicating an operational maturity at the upper boundary of Level 2. Five integrated business solutions were developed: an Integrated Project Management Plan template, a procurement lead-time integration framework, a parametric schedule database, a communication management plan template, and a lessons-learned database with a competency development framework. The findings demonstrate that single-method maturity assessments tend to overstate maturity, and that mixed-methods triangulation produces a more accurate and actionable maturity profile for emerging-market EPC contractors.
A combined fuzzy AHP with fuzzy TOPSIS to locate industrial supporting bonded logistics centers Syafrianita Syafrianita; Heru Purboyo Hidayat Putro; Gatot Yudoko; Fikri Zul Fahmi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 4: August 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v21i4.23973

Abstract

Raw material availability is critical for the sustainability of industrial activity. A bonded logistics centre is required as a multipurpose warehouse for the storage of raw commodities, particularly those imported from other countries. The operationalization of bonded logistics centers in terms of supplying raw materials effectively and efficiently is largely location dependent. Proper facility placement is critical for resolving the storage issue and boosting the efficiency of the transportation system. The purpose of this article is to suggest a technique for locating a bonded logistics centre. In an unpredictable context, decision making requires a range of criteria generated from knowledge and stakeholder experience. As a result, this work proposes the combination of the fuzzy analytic hierarchy process (FAHP) with the fuzzy technique for ordering preferences by similarity to ideal solution (FTOPSIS). By disclosing linguistic characteristics, fuzzy numbers contribute to the resolution of ambiguity and imprecision. Obtaining the weighted value of the criteria and sub-criteria using fuzzy AHP. Using fuzzy TOPSIS, determining alternate preferences based on weighting factors. Its use lies in being able to distinguish between criteria that provide advantages and those that generate expenses. The findings indicate that the selected option is the one that is most closely related to the positive ideal.
PROJECT MANAGEMENT FOCUSED ON STAKEHOLDER MANAGEMENT IN PERTAMINA’S BOYOLALI–PENGAPON PIPELINE PROJECT Iwan Setiawan; Gatot Yudoko
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 2 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18459845

Abstract

The Boyolali–Pengapon pipeline project is a national‐priority infrastructure initiative by PT Pertamina Patra Niaga. The project that seeks to improve Central Java’s fuel distribution faces stakeholder challenges that are intricate. From securing government approval, acquiring land, and managing relationship with the local communities, an effective stakeholder engagement framework is crucial to ensure the project stays on its schedule and budget. In accordance to that, this study analyzes the application of Pertamina’s stakeholder engagement in the Boyolali-Pengapon pipeline project. Data were gathered through semi-structured interviews with Pertamina project managers, government regulators, local community representatives, and the pipeline’s engineering partner, supplemented by analysis of project documents and reports. Thematic analysis was conducted using stakeholder mapping tools (the Stakeholder Salience Model and Power–Interest Grid) in line with PMI’s stakeholder engagement processes. The study’s objectives are to identify the project’s key stakeholders and their interests, assess the engagement practices used, document stakeholder-related issues, and evaluate how the stakeholder management approach affected the project’s schedule, cost, and community acceptance. The research finds suggest managing stakeholder proactively benefited the project result significant. Major delays were prevented through early engagement. Challenges of land acquisition and permit were also present, yet were not a hindrance for the project as they were addressed through negotiation and collaboration with local authorities. Consequently, the disruption avoided from legal disputes that might be costly and the small investments made in engagement helps the project to stay on budget. All in all, the case shows that large infrastucture projects needs a formal stakeholder engagement process to schedule compliance, keep cost controlled, and gain support from the local community.
IMPROVING SALES FORECAST ACCURACY USING LEAN SIX SIGMA: A CASE STUDY IN THE FMCG INDUSTRY Syafiqri Alfarizki; Gatot Yudoko
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 3 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18951337

Abstract

Sales forecasting accuracy is crucial for operational efficiency, inventory optimization, and service reliability in commodity and logistics industries. ABC Company faces persistent challenges in achieving reliable forecasts, leading to frequent rescheduling, shipment adjustments, and cross-functional misalignment. This research aims to identify the major factors affecting forecast accuracy at ABC Company, develop solutions to address root causes, and determine the most appropriate forecasting approach. Using the Lean Six Sigma DMAIC framework, it analyzes historical data (Jan 2024-Dec 2025) with MAPE, Forecast Bias, and RMSE metrics. Qualitative data from stakeholder interviews reveal primary drivers: weak forecasting governance, insufficient integration of execution feasibility, lack of stable forecasts, and unstructured expert judgement. The study proposes a four-stream improvement framework focusing on forecast governance stabilization, feasibility integration, quantitative forecast improvement, and structured expert judgement integration via Expert Knowledge Elicitation. A control mechanism with SOPs, RACI, KPI monitoring, and regular reviews ensures sustainable improvement.
Transforming Inventory Management at RS Siloam Jantung Diagram: A Lean Driven Approach to Reducing DOI and Strengthening Patient Safety Mariska Ajeng Andaka; Gatot Yudoko; Muhammad Hanafi
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.v6i7.53408

Abstract

This research examined inventory management challenges at RS Siloam Jantung Diagram and proposed improvement initiatives to enhance operational efficiency while maintaining patient safety. As a specialized cardiovascular hospital, the availability of medical supplies is critical to ensuring uninterrupted patient care and supporting clinical outcomes. The hospital experienced persistent inventory inefficiencies, reflected in Days of Inventory (DOI) levels that consistently exceeded the organizational target of 23 days and reached a peak of 55 days. These conditions resulted in excess inventory, expired consumables, emergency procurement, redundant activities, and delayed operational decision-making, thereby increasing operational costs while posing risks to service reliability and patient safety. A mixed-method approach was employed, combining quantitative analysis of inventory performance data with qualitative insights obtained through focus group discussions, direct observations, and a 5S assessment across key operational units. The Current Reality Tree analysis identified relationships among operational issues and revealed four primary root causes: the absence of an integrated inventory management system, lack of clear ownership, unclear roles and accountability, and reliance on manual processes. These factors reduced inventory visibility, weakened cross-functional coordination, and limited timely decision-making. Based on these findings, the study proposed improvements in governance, process standardization, forecasting practices, role clarification through RACI alignment, real-time monitoring, and preparation for Warehouse Management System and hospital information system integration. The research demonstrated that addressing systemic causes rather than isolated symptoms could improve inventory performance while strengthening patient safety. The proposed framework provides a practical reference for healthcare organizations seeking sustainable inventory management practices and operational excellence.
A Positioning Map and Future Research Agenda of Collaborative Consumption Damayanti Octavia; Gatot Yudoko; Reza Ashari Nasution
Jurnal Sosial Humaniora 2020: Special Edition 2020
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24433527.v0i1.6784

Abstract

Collaborative consumption (CC) is the new business model which overlapswith the concept of sharing economy (SE). However, CC has some uniquecharacteristics that are not found in SE. This study aims to compare the twobased on three dimensions: compensation, ownership, and platform. ECommerce (EC) is included into the comparison in order to show that CC isactually a combination of SE and EC, thus covering a larger set than the othertwo concepts. The method used in this study is the literature study. Themethods used CC concept manually and VOSviewer software to reassure andexplore the unique characteristics of CC in comparison with SE and EC. Thepositioning map based on two dimensions: compensation and platformgenerate six business models that can be represented the characteristic of CC,SE, and EC. The six models are: (1) platform-based and monetarycompensation; (2) platform-based and non-monetary compensation; (3)platform-based and without compensation; (4) non-platform-based andmonetary compensation; (5) non-platform-based and non-monetarycompensation; (6) non-platform-based and without compensation. The lastdimension is ownership describe that CC activity is including exchange-basedand access-based activity, while SE provides access-based activity only andEC offering exchange-based activity. The study also aims to discover theunique characteristics of CC that will be used as the basis for developing afuture research agenda of CC.
EVALUATING ALTERNATIVE PRODUCTION STRATEGIES FOR CLAMP SADDLE PRODUCTS TO IMPROVE PROFITABILITY: A CASE STUDY OF PT SENTRA PIPA NUSANTARA Adityo Ramadhan; Gatot Yudoko
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 7 (2026): JUNE
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21633967

Abstract

The plastic piping industry depends on a complete portfolio of pipes and fittings to serve infrastructure, clean-water distribution, and industrial applications. PT Sentra Pipa Nusantara (a disguised name) completes part of its fitting portfolio through imported products, including the clamp saddle 63 mm × 1¼" that is currently purchased as a finished good under a third-party Malaysian brand. Although operationally simple, this import-based model limits the company’s control over product cost, brand ownership, and product design, and exposes profitability to supplier price, exchange-rate movement, and landed-cost components. At present the import model yields only about a 20% markup over cost (16.7% gross margin on the net selling price), and management has formally mandated a feasibility study to assess whether in-house production or contract manufacturing of an own-brand product could improve profitability. The study therefore addresses a clear managerial problem: under a constrained selling price, profitability improvement depends on the company’s ability to reduce unit cost and strengthen its sourcing strategy. This study compares three production-strategy alternatives, namely continuing to import, in-house production, and contract manufacturing (an indicative tolling or makloon scenario) and pursues three objectives: to compare the alternatives in terms of unit cost and unit margin against the net selling price; to test the sensitivity of each alternative to selected key cost drivers; and to recommend the most feasible strategy through a weighted multi-criteria feasibility assessment. The analysis proceeds in three connected stages. First, the unit cost of each alternative is built on a common per-acceptable-unit basis: import through a total landed-cost approach, in-house production through manufacturing-cost decomposition with units-of-production tooling allocation, and contract manufacturing through the indicative tolling scenario. Subsequently, the unit margin and margin ratio are then calculated against the actual net selling price. Second, a threshold sensitivity analysis varies five declared cost drivers (resin price, exchange rate, contract-manufacturing fee, reject rate, and tooling investment) one at a time to test the robustness of the ranking. Third, a weighted scoring matrix following the Simple Additive Weighting method integrates three quantitative criteria (comparative cost and margin, sensitivity robustness, and investment or MOQ commitment) and four qualitative criteria (implementation readiness, vendor dependency, market and customer acceptance, and intellectual-property consideration). Primary data were obtained through semi-structured interviews and internal consultations across the relevant functions, while the contract-manufacturing scenario and the reject rate were treated as validated planning assumptions; product quality was treated as a mandatory baseline and the recommendation as decision support rather than a final commercial decision. The results show that in-house production is the most economical and the most profitable route. It carries the lowest unit cost (Rp 19,208 per unit) and the widest unit margin (Rp 21,958, a 114.3% markup over cost), ahead of contract manufacturing (Rp 24,905; Rp 16,261; 65.3%) and import (Rp 34,305; Rp 6,861; 20.0%); both own-brand routes clear the 20% management target, whereas import only meets it at the threshold. This advantage is robust: across all eleven sensitivity scenarios in-house production remains the lowest-cost option and the ordering in-house < contract manufacturing < import is never reversed, with resin price the dominant driver for the own-brand routes and the exchange rate for import. In the weighted assessment, in-house production records the highest validated score (4.60 out of 5.0, against 2.72 for contract manufacturing and 2.46 for import) while staying within the Rp 300 million investment limit. The study therefore recommends a staged transition from import to in-house production of an own-brand clamp saddle, executed through a stage-gate roadmap and escalated to the CEO for the final go or no-go decision, with contract manufacturing retained as a fallback. The contribution of the study is a transparent and replicable evaluation framework — combining unit-cost build-up, threshold sensitivity, and a validated weighted scoring matrix — that can be applied to other imported fittings to support margin-improvement decisions.
Proposed Design of Performance Management System in Automotive Part Manufacturing Industry: A Knowledge-Based Approach (Case Study PT MM) Laksamana Naufal Hibban; Gatot Yudoko
Journal Research of Social Science, Economics, and Management Vol. 4 No. 11 (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.v4i11.868

Abstract

The automotive manufacturing industry in Indonesia plays an important role in driving national industrial growth, with vehicle production exceeding one million units annually and the automotive industry itself contributing 7.63% to GDP and employing around 1.5 million people. PT Mawar Manufaktur (PT MM), as a manufacturer and supplier of automotive components, plays a significant role within this ecosystem. However, amid the intensifying competition in the automotive industry, PT MM faces challenges in enhancing its competitiveness. The current performance management system remains fragmented and primarily focuses on financial and core operational aspects. This study proposes a redesigned Performance Management System (PMS) using the Knowledge-Based Performance Management System (KBPMS) framework. This performance management system combines strategic alignment, interdepartmental integration, and the inclusion of key performance indicators (KPIs) consisting of financial and non-financial indicators. The new PMS is expected to enhance the company's flexibility and competitiveness. The research methodology includes a combination of qualitative and quantitative techniques, such as interviews, literature reviews, external and internal analyses, and the application of the Analytic Hierarchy Process (AHP). The outcome of this study is a comprehensive PMS tailored to the strategic needs and operational context of PT MM. This enables the company to adapt to industry developments, particularly the growing relevance of electric vehicles (EVs), and to sustain long-term growth.
Proposed Improvement of Learning Course Development in Digital Telecommunication Company Revina Nida Nafila; Gatot Yudoko; Agnesia Candra Sulyani; Richard Alberto
Journal Research of Social Science, Economics, and Management Vol. 4 No. 11 (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.v4i11.874

Abstract

PT Digital Telecommunication Company (DTC) is a telecommunication company in Indonesia that is currently facing dynamic and competitive challenges in the telecommunication industry. The Corporate University Center (CUC), a support unit of PT DTC, is dedicated to enhancing the skills and knowledge of PT DTC employees in order to help the company achieve its strategic goals. Thus, CUC has developed Rencana Jangka Panjang Perusahaan (RJPP) 2025-2027 to continuously support the company strategy in the area of people development. Therefore, it is crucial to identify potential areas of improvement to ensure that CUC can effectively contribute to the success of PT DTC’s new strategy direction. This study focuses on the Learning Team at CUC, which aims to produce learning materials that enhance employee capabilities. To analyze this process, the study uses the ADDIE and Project Management framework to identify the operational process of learning design & development. By using the frameworks, CUC is expected to deliver high-quality learning materials that align with the company strategy effectively. Data collection is conducted by semi-structured interviews with five participants from the learning team, to explore the business strategy of the company and the day-to-day learning operations. The data was analyzed using NVivo 15 software, which generated word frequency queries to identify emerging themes. These themes were further analyzed through quotation analysis understand the contextual situation in the learning process. Data analysis results revealed six areas of improvement: Resource Management, Scalability Planning for High-Impact programs, Stakeholder Communication, Learner Participation, Learning Impact Measurement, AI Technology Enhancement.
Co-Authors Adityo Ramadhan Agnesia Candra Sulyani Arif Afrizal Damayanti Octavia Dania Sitadewi Dedi Yusuf Hernanto Eko Agus Prasetio Evy Rachmawati CH, Evy Fahmi, Fikri Zul Fikka Ruhaiya Heru Purboyo Hidayat Putro, Heru Purboyo Hidayat Iftikar Fadhlirohman Soeroyo Iwan Setiawan Laksamana Naufal Hibban Liane Okdinawati Mariska Ajeng Andaka Mochammad Ravi Armanda Putra Muhammad Hanafi Mursyid Hasan Basri Muslim El Hakim Kurniawan Mutiara Alena Azizah Pennoh Philips Kembaren Petrus Tri Wahyudi Revina Nida Nafila Reza Ashari Nasution Richard Alberto Rifki Rahmadian Pangestu Syafiqri Alfarizki Syafrianita Syafrianita Widjajani Widjajani