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Proposed Framework Of A Knowledge-Based Performance Management System (KBPMS) For Furniture Smes: A Case Study Of Cv Mulya Pratama Putra Ramadhan, Dimas Rizki M.; Wibisono, Dermawan
Amkop Management Accounting Review (AMAR) Vol. 5 No. 2 (2025): July - December
Publisher : Sekolah Tinggi Ilmu Ekonomi Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/amar.v5i2.3406

Abstract

A Knowledge-Based Performance Management System (KBPMS) is designed for performance management effectiveness in CV Mulya Pratama Putra, an Indonesian SME that specializes in wooden and rattan furniture exports. The SME witnessed declining operation and financial performance. The KBPMS uses a combination of external analysis methods including PESTEL and Porter’s Five Forces analysis and internal capability analysis methods that include VRIO and benchmarking. To prioritize improvements, an AHP method will be adopted. Analysis and findings have shown that there are major gaps in performance with regards to financial, customer, internal process, and resource capabilities. The AHP analysis also confirms Process Variables and Operational Quality factors as the main priorities. A KBPMS model will enable a proper and systematic determination of indicators and preparation of an improvement plan. KBPMS will enable an Indonesian SME like Mulya Pratama Putra to make more knowledge-driven decisions and improve its global competitiveness and ability to export.
Strategic Alignment and Employee Perception in the Balanced Scorecard Implementation: a Performance Management Evaluation in Mining Division Toward World-Class Standards Rahmat Hidayat; Dermawan Wibisono
Community Engagement and Emergence Journal (CEEJ) Vol. 5 No. 5 (2024): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v6i2.8449

Abstract

The dynamic mining industry landscape requires organizations like PT Bukit Asam Tbk. (PTBA) to ensure robust strategic alignment to achieve world-class standards. This study investigates the perception gaps and alignment issues in the implementation of the Balanced Scorecard (BSC) within PTBA’s Mining Division. Three research questions guide this work: whether perception differences exist between management and executor levels regarding strategy execution; the gap between expected and actual realization of strategy; and the alignment between employee-perceived priorities and formal the BSC structures. The study applies a quantitative approach using Likert-scale surveys, gap analysis, and the Analytic Hierarchy Process (AHP). Statistical tools include descriptive analysis, Mann-Whitney U tests, Spearman correlation, and the AHP weight calculation. Results reveal notable perception gaps, particularly at the executor level, and significant differences between groups across all constructs. The AHP analysis indicates that internal business process and learning and growth perspectives are prioritized by employees, though misalignments with formal strategy remain. An implementation scenario is proposed through the Enhanced BSC Framework that includes phased strategic communication, dynamic KPI review using AHP, and integrated data-driven feedback systems. This study acknowledges several limitations, such as its single-case scope, the use of self-reported data, a limited observation period, and the absence of external benchmarking. This research contributes to performance management practices by highlighting the importance of aligning strategic priorities across organizational levels to support PTBA’s transformation journey.
Integrated Lean Six Sigma and Statistical Quality Control to Enhance Production Quality in the Beverage Manufacturing Raynald Frederick; Dermawan Wibisono
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52481

Abstract

Continuous quality improvement is fundamental to maintaining competitiveness in the beverage processing industry, particularly in developing countries where process variability often leads to operational inefficiencies. This study aims to examine the implementation of Lean Six Sigma (LSS) integrated with Statistical Quality Control (SQC) as a comprehensive strategy to enhance production quality in a selected Indonesian beverage company. The research was conducted using purposive sampling and followed the DMAIC (Define, Measure, Analyze, Improve, and Control) framework to identify, measure, and mitigate causes of volume variation in bottled products and improve process yield. Quantitative analysis was performed on production records using control charts, process capability indices (), and defect probability calculations. The results showed that prior to improvement, the process capability index () was 0.722 for 350 mL bottles and 0.636 for 450 mL bottles, with a rejection rate of approximately 3.00%, indicating poor process control. After a series of corrective actions, including mold and filler vacuum adjustments, the   increased to 1.430 for 350 mL bottles and 1.338 for 450 mL bottles, while the rejection rate declined significantly to 0.562% and 0.438%, respectively. The findings demonstrate that the integration of LSS and SQC substantially improves process capability, reduces production waste, and enhances product quality. This study provides novel empirical evidence on the application of Lean Six Sigma in the beverage industry context and contributes both theoretical and practical insights into the use of data-driven quality approaches to achieve sustainable manufacturing excellence.
Designing a Knowledge-Based Performance Management System for PT WLL Steven Nathanael Setiawan; Dermawan Wibisono
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52500

Abstract

PT WLL was an Indonesian food manufacturing company that had produced soy sauce and condiments for several decades. Despite its long operational history, the company experienced performance challenges, including declining sales, inefficient processes, and limited employee capability. These issues largely emerged from the absence of an integrated performance management system that connected financial and non-financial indicators. The objective of this study was to design a Knowledge-Based Performance Management System (KBPMS) that aligned with PT WLL’s strategic and operational needs. A mixed-methods approach was applied. Qualitative data were collected through semi-structured interviews and focus group discussions with managers and the director, while secondary data were obtained from company records, production reports, and financial documents. Porter’s Five Forces, VRIO, and the Current Reality Tree (CRT) were used to diagnose systemic performance gaps. The KBPMS framework guided the development of a performance structure consisting of three perspectives: business results, internal processes, and resource capabilities. The Analytical Hierarchy Process (AHP) was used to prioritize key performance indicators (KPIs) through expert pairwise comparisons. The findings revealed that the company faced three primary challenges: weak interdepartmental coordination, outdated operational processes, and a lack of integrated performance metrics. The proposed KBPMS offered structured performance measurement, clearer strategic alignment, and knowledge-sharing mechanisms. Implementing the system was expected to improve PT WLL’s financial stability, process reliability, and employee competency. The study made theoretical and practical contributions by demonstrating how KBPMS could be adapted for medium-sized food manufacturing firms to strengthen their competitiveness and long-term sustainability.
DEMAND PATTERN-SPECIFIC FORECASTING FOR SPARE-PART INVENTORY: ENSEMBLE MODEL EVIDENCE FROM INDONESIAN HEAVY EQUIPMENT DISTRIBUTION Like Ati Handayani; Dermawan Wibisono
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 6 No. 3 (2026): June
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21486023

Abstract

PT Cakra Harmoni Sentosa (HCS), the largest heavy equipment distributor in Indonesia, faces a supply chain performance problem at its highest-revenue plant, Plant Sungai Danau (SDU). With IDR 1.1 trillion in annual spare-part transactions, SDU records a customer service level of 75%, which is five percentage points below the 80% target, while Days of Inventory reaches 87 days against the 75-day benchmark. Both shortfalls originate from reliance on a 12-month Moving Average forecasting method applied uniformly across a portfolio where 90% of SKUs show intermittent or lumpy demand patterns. This paper evaluates 23 forecasting model variants per demand pattern through walk-forward validation. Methods tested range from classical statistical approaches including Croston, SBA, and TSB to machine learning models such as XGBoost and LightGBM, deep learning architectures including LSTM and N-Beats, and ensemble combinations. Performance is assessed using RMSE and MAE on non-zero periods alongside the Stock-Keeping-Oriented Prediction Error Cost metric with stockout-weighted parameters. Findings show that a demand-pattern-specific Ensemble of SES, SBA, LSTM, and N-Beats achieves the strongest performance for lumpy and intermittent SKUs, cutting RMSE by 43.9% and SPEC by 36.3% on lumpy items relative to the MA12 baseline.
Bibliometric Analysis to A Future Research Direction on Agile Transformation Sidik Darusulistyo; Dermawan Wibisono; Harimukti Wandebori; Santi Novani
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 6 No. 2 (2023): January - June Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v6i2.1381

Abstract

Agile transformation has become increasingly popular as a management approach to improve performance, but there has been limited research on its direction. This study aims to advance knowledge on agile transformation to help companies become faster, more flexible, and more responsive. The study employs a bibliometric approach to analyze 116 "Agile Transformation" papers published in the Scopus database over the past 20 years. The findings indicate an increasing number of publications in recent years, with the United States, Finland, and Germany being the top countries. However, the research connections are not yet consolidated, as only 22 authors out of 282 have co-authored papers. The research has also been mainly focused on software development and IT companies, using case studies, grounded theory, and surveys. The study reveals that the major research hotspots in the agile transformation are agile transformation, software development, software design, agile methods, agile transition, and agile adoption. The grand theories emerging in the Agile Transformation revolution emphasize the importance of collaboration, communication, continuous improvement, and customer value. Overall, this study provides a comprehensive understanding of the current state of research on agile transformation and offers insights for future research. The findings highlight the need for greater research diversity beyond software development and IT companies and an opportunity to use action research and ethnography strategies to understand agile transformation. Ultimately, this study contributes to the advancement of knowledge on agile transformation and its role in improving organizational performance.
Assessment of Indonesia’s Mineral Value-Added Policy: A Literature Review and Future Research Agenda Andri Budhiman Firmanto; Dermawan Wibisono; Manahan Parlindungan Saragih Siallagan; Mohammad Zaki Mubarok
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 8 No. 1 (2024): July - December Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v8i1.2376

Abstract

This study addresses a gap in Indonesia’s mineral-downstream policy research by identifying the optimal policy scenario for enhancing the added value of primary metal mineral commodities. This research examines competitive and comparative advantages and economic impacts using system dynamics modeling. Initially, qualitative interviews are conducted to identify elements affecting domestic refining facilities’ growth, followed by quantitative surveys and the Analytic Hierarchy Process (AHP) to prioritize factors fostering these advantages. Findings suggest that developing existing theories to fit Indonesia’s specific context is crucial, and focus group discussions with key mining company decision makers are recommended to develop relevant indices. This method evaluates policy options to determine those offering the most significant economic advantage for each mineral type by analyzing unique characteristics and mapping them to suitable policies. Integrating competitive and comparative advantages into the mineral-added value policy context maximizes economic returns and provides practical recommendations for policymakers, addressing a critical gap in the literature.
Net Zero Strategies in State Owned Energy Firms Alpha Nur Setyawan Pudjono; Dermawan Wibisono; Dwi Rian Sulaeman; Zuhwan Asbah; Madju Yuni Ros Bangun; Agus Purwadi; Didi Kurniadi Halim; Aghnia Nadhira Aliya Putri; Fadrian Dwiki Maulanda; Veren Sonia; Reza Setiadi Shihran; Laksamana Naufal Hibban; Zakie Anugia; Rohmat Priyanto
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 8 No. 2 (2025): January - June Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v8i2.2688

Abstract

This study investigated renewable energy strategies in Malaysia, Denmark, and Japan to derive actionable insights for Indonesia’s energy transition. The objective was to explore effective approaches for achieving net-zero emissions in state-owned energy enterprises within developing countries. A comparative analysis methodology was employed, incorporating benchmarking interviews with policymakers, industry experts, and regulators from the three countries, as well as the review of official energy strategy documents. Malaysia emphasized diversifying its energy mix through supportive policies and advancements in solar, hydro, and biomass technologies. Denmark achieved remarkable success through a liberalized energy market and robust regulatory support, particularly for wind power. Japan, shaped by its post-Fukushima context, focused on energy independence via investments in solar, wind, and geothermal technologies. The findings revealed that Indonesia could benefit from adopting a diversified energy portfolio, establishing stable policy frameworks, increasing investments in research and development, modernizing its power grid, and engaging local communities. This study concluded that aligning Indonesia’s energy policies with technological capabilities and regulatory environments is essential to achieving a sustainable energy transition and meeting net-zero targets.
Designing a Knowledge-Based Performance Management System and Web-Based Inventory Recording System for Medical Device Distributors: Case Study of PT. Mulawarman Mitra Medika Fabian Zaki Geraldy Hasibuan; Dermawan Wibisono
SEIKO : Journal of Management & Business Vol 9, No 1
Publisher : Program Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/sejaman.v9i1.10877

Abstract

PT. Mulawarman Mitra Medika, a medical device distributor in Indonesia, faces operational challenges including declining revenue growth, poor inventory accuracy, extended stock opname cycles, and limited strategic performance visibility. This study proposes an integrated approach combining a Knowledge-Based Performance Management System (KBPMS) with a web-based inventory recording system to address these challenges. Using mixed methods—qualitative process mapping, stakeholder interviews, and quantitative analysis via Analytical Hierarchy Process (AHP)—the research identifies 22 performance variables across three perspectives: Business Result, Internal Process, and Resource Capability. AHP prioritization reveals revenue growth, stock opname cycle time, and system user adoption rate as critical levers for improvement. The paper presents a complete design and implementation roadmap, including system architecture, data flow diagrams, entity relationship models, service level agreements, and a three-month phased rollout plan. The proposed KBPMS-integrated web system is expected to reduce data entry errors, shorten inventory cycles, improve reporting reliability, and strengthen strategic alignment. This research contributes both practical guidance for SMEs in healthcare distribution and theoretical insights into integrating digital systems with performance management frameworks in developing-economy contexts.
Design Of An Operations Strategy-Based Framework To Align Demand And Capacity In A Crsytal Ice Manufacturing SME Within The Cold-Chain Industry Maudy Farras Raihan; Dermawan Wibisono
Al-Kharaj: Journal of Islamic Economic and Business Vol. 8 No. 1 (2026): All articles in this issue include authors from 3 countries of origin (Indonesi
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v8i1.9163

Abstract

This study examines the mismatch between production capacity, market demand, and distribution performance at a small and medium-sized enterprise (SME) producing ice crystals (Company A) in the cold chain industry. The company operates two machines with a total capacity of 10 tonnes per day, but actual sales volume only reaches 4-5 tonnes per day. This situation has resulted in low production utilisation, limited distribution coverage. Operational data for 2024-2025 shows that customer demand fluctuates on a daily, weekly, and hourly basis, while ordering behaviour is sudden, preventing the company from optimally planning production and distribution routes. The capacity of five motor couriers within a 12 km radius also becomes a bottleneck during peak hours, hindering delivery accuracy.Based on these conditions, this study formulates the problem of how to align production capacity, market demand, and distribution performance by determining the operational performance objectives; quality, speed, reliability, flexibility, and cost that need to be prioritised. The research design uses a mixed method case study with a quantitative dominance. Internal archive data analysis was conducted to calculate production utilisation, distribution utilisation, sales-to-output ratio, and demand-capacity gap stability. Next, six internal experts (the owner, administrative staff, two production operators, and two couriers) provided assessments through the Analytical Hierarchy Process (AHP), and the results were tested for consistency before being combined into group priority weights.The results of the study show that there is a consistent mismatch between installed capacity and actual demand. Average production utilisation is at 34-36%, while distribution loads accumulate during morning and afternoon peak hours. AHP analysis shows that cost, speed, and reliability are the top priorities for improving operational performance, in line with the patterns of inefficiency apparent in the operational data. This study in the discussion section highlights that distribution responsiveness, minimisation of inefficient costs of operations, and provision consistency in the fulfilment of services are essential in harmonising capacity and demand. The combination of operational results and AHP priorities provides the design of an alignment-based framework of an operational strategy. Suggestions on future research include creating a digital system that uses real-time data and increasing investigation into other cold chain SMEs in order to ensure that this strategic framework is more externally valid.
Co-Authors , Akhiyar , Akhyar . Meiliza, . Adrian Pasca Aghnia Nadhira Aliya Putri Agung Sukma Hardana Agus Purwadi Ahmad Kemal Arsyad Alpha Nur Setyawan Pudjono Alpha Pudjono Amanah Pasaribu Andri Budhiman Firmanto Arief Andhella Aries F Firman Assydik, Muhammad Handeriyan Bagus Budianto Berlit Deddy Setiawan Binti Hassan, Radiah Chairuna, Dina Cornell, Axel William Didi Kurniadi Halim Durio Etgar Durio Etgar Dwi Rian Sulaeman Fabian Zaki Geraldy Hasibuan Fadrian Dwiki Maulanda Habsoro, Moh Akhim Bayu Hadiyanto, Haris Harimukti Wandebori Herry Hudrasyah Hoa, Hong Mee Husodo, Widodo Kukuh Sujatmiko I Nyoman Sardjana Ima Fatima, Ima Izhar Rahman Dwiputra Jonathan, Ivan Kukuh M Rahardjo Laksamana Naufal Hibban Like Ati Handayani Madju Yuni Ros Bangun Manahan Parlindungan Saragih Siallagan Maudy Farras Raihan Meita Annisa Nurhutami Mohammad Wisaksono Mohammad Zaki Mubarok Mohammed K. Khan Mohammed K. Khan Muhammad Handeriyan Assydik Muhammad Shidqi, Roza Mursyid Hasan Basri Mustika Sufiati Purwanegara Nabilla, Faradhina Astri Nanda Ravenska Oktorius Kosasih Rahmat Hidayat Rahmat Hidayat Rahmawati, Isadora Raka Achmad Inggis, Raka Achmad Ramadhan, Dimas Rizki M. Ratih Siti Rachmawati Raynald Frederick Reni Sri Rahayu Reno Renaldi Tibyan Reza Setiadi Shihran Rhanni Apriani Wirdhawan Rhanni Apriani Wirdhawan Rizki Utama Rohmat Priyanto Romi Setiawan Roza Muhammad Shidqi Santi Novani Setiawan, Romi Sidik Darusulistyo Steven Nathanael Setiawan Taufik Faturohman Untea, Pungkas Utama, Rizki Veren Sonia Wirdhawan, Rhanni Apriani Zakie Anugia Zuhwan Asbah Zulfikar, Prananda Septian