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All Journal Journal of Economic, Bussines and Accounting (COSTING) Jurnal Impresi Indonesia Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies
Nur Budi Mulyono
Institut Teknologi Bandung
Religion Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Neuroscience Public Health Social Sciences Other

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PELATIHAN PEMASARAN PRODUK SECARA ONLINE MELALUI MEDIA SOSIAL BAGI PELAKU USAHA MIKRO DALAM ADAPTASI KEBIASAAN BARU DAN UPAYA KEBERLANJUTAN USAHA Sri Hartati; Nur Budi Mulyono; Kartib; Edwin Karim; Muhammad Ridwan Zaelani; Naufal Shayed Alam; Muhammad Lufhti Zulfiqor
Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Vol 2 (2021): PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT - SNPPM2021
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.877 KB)

Abstract

AbstractThe current pandemic situation has affected many businesses, including business actors in Pangandaran Regency. Most of the business actors in Pangandaran cannot produce and some even stop completely. The enactment of PSBB and PPKM has resulted in changes in consumer behavior in buying products. Most of it is done online. This community service aims to improve the understanding and skills of MSMEs in using social media as a medium that can be used for marketing. The training participants totaled 23 people who were the Head of Poklahsar (Processing and Marketing Group) in Pangandaran Regency. Each Poklahsar has 5-10 members. The process of determining participants is carried out purposively. The training is carried out offline by adhering to health protocols. The materials presented were Entrepreneurial Motivation, Packaging Techniques, Product Photo Techniques using Mobile Phones and Techniques for uploading products to social media. Based on the processing of the service results questionnaire, it shows that the training participants (80%) have used social media but have not focused on being used for marketing. The social media used by participants were Facebook (75%), WhatsApp (20%) and Instagram (5%). Participants are very enthusiastic about participating in the training and really hope that it can be carried out continuously. The results of the training are expected to increase product sales, increase income and increase family welfare and quality of life for micro-enterprise families. In the long term, it is hoped that a digitalization model can be carried out for business actors in Pangandaran. AsbtrakSituasi pandemi saat ini mengakibatkan banyak usaha yang terdampak, termasuk pelaku usaha di Kabupaten Pangandaran. Sebagian besar pelaku usaha di Pangandaran tidak bisa berproduksi bahkan ada yang berhenti total. Diberlakukannya PSBB dan PPKM diantaranya mengakibatkan terjadinya perubahan perilaku konsumen dalam membeli produk. Sebagian besar dilakukan secara online.Pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman serta keterampilan UMKM dalam penggunaan media sosial sebagai media yang dapat dimanfaatkan untuk pemasaran. Peserta pelatihan berjumlah 23 orang yang merupakan Ketua Poklahsar ( Kelompok Pengolah dan Pemasar) di Kabupaten Pangandaran. Setiap Poklahsar memiliki anggota 5-10 orang. Proses penentuan peserta dilakukan secara purposif.Pelatihan dilakukan secara offline dengan mentaati protokol kesehatan. Materi yang disampaikan yaitu Motivasi kewirausahaan, Teknik Pengemasan , Teknik Foto Produk dengan menggunakan Handphone serta Teknik mengupload produk ke media sosial. Berdasarkan pengolahan kuesioner hasil pengabdian menunjukkan bahwa peserta pelatihan (80 %) sudah mengggunakan media sosial namun belum fokus digunakan untuk pemasaran. Adapun media sosial yang digunakan oleh peserta adalah Facebook (75%), WhatsApp (20%) dan Instagram (5%). Peserta sangat antusias mengikuti pelatihan dan sangat berharap dapat dilakukan secara kontinyu. Hasil pelatihan diharapkan dapat meningkatkan penjualan produk, peningkatkan pendapatan serta peningkatan kesejahteraan keluarga dan kualitas hidup keluarga pelaku usaha mikro. Untuk jangka panjang diharapkan dapat dilakukannya model digitalisasi bagi pelaku usaha di Pangandaran.
OPERATIONAL OPTIMIZATION OF COAL HANDLING FACILITY USING THEORY OF CONSTRAINT (TOC) AND STOCK AND FLOW MODELS Azizul Amri; Nur Budi Mulyono
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 2 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/costing.v8i2.14375

Abstract

Coal remains one of the most cost-effective energy sources, playing a crucial role in Indonesia's national energy mix and making a significant contribution to national revenue. PT XYZ, a leading coal producer, recorded a total production of 41.94 million tons in 2023, with coal transportation reaching 32.42 million tons. For 2026, PT XYZ has set an ambitious target of producing and delivering 60 million tons. This projected increase in annual shipment volume is expected to place considerable pressure on PT XYZ's existing heavy equipment, particularly the Load Out system at the Coal Handling Facility (CHF). The current Load Out system at CHF 3, with a nominal capacity of 1,500 tons per hour (TpH) for each conveyor, is already operating near its maximum capacity. However, this capacity is projected to be insufficient to meet the 2026 target of 10 million tons, especially as demand continues to rise towards 2030 and beyond. As coal production and transportation demands increase, it is essential to assess whether the existing infrastructure can sustain this load without compromising operational efficiency or reliability. This study employs a supply chain capability analysis method, focusing on coal transportation logistics at Train Loading Station 3 (TLS103). The key findings highlight the need for strategic enhancements to the Loading system at CHF 3, particularly in increasing conveyor capacity and optimizing the operational configuration of TLS103. Through the calculation of the required tonnage per hour (TpH) needed to achieve the 2026 production target, this study identifies significant gaps in the current system that could hinder PT XYZ's ability to meet its goals. The results of this research will serve as recommendations for decision-making regarding capital investments and operational improvements.
Forecast-Based Decision Framework for Replacement of Ros and Onboard Components in Autonomous Loaders: A Case Study at GBC Mine PT Freeport Indonesia Paskah Handikardo Benjamin Nainggolan; Nur Budi Mulyono
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.v6i6.53095

Abstract

The mining industry plays a critical role in global economic activities, particularly in supporting the supply of essential raw materials. In Indonesia, PT Freeport Indonesia operates the Grasberg Block Cave (GBC) underground mine, which utilizes autonomous loaders integrated with the Remote Operating System (ROS). The reliability of ROS and its onboard components is essential to ensure continuous production and operational efficiency in a complex underground environment. This study aims to develop a forecast-based decision framework to determine the optimal timing for component replacement in autonomous loaders. A quantitative approach was employed using time-series forecasting based on historical downtime and component replacement data from 2023 to 2025. The Autoregressive Integrated Moving Average (ARIMA) model was applied to identify failure patterns and predict future degradation trends. The results indicate that component failures, particularly in joystick and other critical onboard systems, follow a non-random and progressive degradation pattern influenced by environmental and operational factors such as vibration, dust, humidity, and intensive usage. The ARIMA (1,0,1) model demonstrates adequate performance in capturing temporal failure behavior and supporting maintenance planning. The proposed decision framework integrates forecasting outputs, degradation trends, and operational risk considerations to support proactive maintenance strategies. The implementation of this framework is estimated to reduce downtime-related production loss by approximately 62.5%, equivalent to around 5,750 tons per month. These findings highlight the practical value of integrating forecasting models into maintenance decision-making processes. This study contributes to predictive maintenance practices by bridging the gap between failure prediction and operational decision-making in autonomous mining systems.
Implementation of DMAIC Framework to Reduce Defects in Spray Painting Process Sarah Ayu Aqila; Nur Budi Mulyono
Jurnal Impresi Indonesia Vol. 4 No. 6 (2025): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i6.6612

Abstract

The spray painting process at PT Tritek Indonesia plays a vital role in determining final product quality, especially for components used in the automotive and electronics industries. However, recurring defects such as NG total and under paint have led to elevated production losses and pose risks to customer satisfaction and process stability. This research aims to identify the root causes of these defects and propose structured improvements using the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) methodology. During the Measure phase, data from January to March 2025 indicated that defect rates remained high, with DPMO values of 116,160 (? = 1.19), 89,553 (? = 1.34), and 110,861 (? = 1.22) respectively, highlighting low process capability and the need for urgent improvement. Root cause analysis using Fishbone Diagrams and FMEA identified several key contributors to the high defect rate, including the lack of operator discipline in pretreatment and thickness inspection, inconsistent spraying techniques, suboptimal spray gun performance due to nozzle wear, and dusty spray booth conditions. To address these root causes, the proposed solutions in the Improve phase include implementing a daily pretreatment checklist, structured coating thickness inspections with periodic training and microbreaks, development of a spray painting assistive tool to standardize distance and angle, a preventive maintenance schedule for spray gun components, and the implementation of 5S principles to improve cleanliness in the painting area. The Control phase proposes regular audits, performance documentation, and bi-weekly evaluation meetings to ensure long-term compliance. This research provides practical insights for small-to-medium manufacturing enterprises in Indonesia to initiate structured quality control programs and gradually advance towards higher process capability and reduced defect variability.
Determinants of My Rentokil Reporting System Adoption and its Impact on Employees’ Job Satisfaction Lutfhi Chairul Alam; Nur Budi Mulyono
Journal Research of Social Science, Economics, and Management Vol. 5 No. 7 (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.v5i7.1329

Abstract

The adoption of reporting systems in organizations does not always lead to consistent use, especially in systems that are already in the post-adoption stage and integrated into routine work activities. MyRentokil is implemented at PT Rentokil Initial Indonesia to support service reporting and operational control; however, variations in employee usage behavior are still observed. This research aims to analyze the determinants of the adoption of the MyRentokil reporting system and its impact on employee job satisfaction. This quantitative study surveyed internal users (technicians and service supervisors) at PT Rentokil Initial Indonesia’s Tangerang branch and analyzed the data using PLS-SEM based on the UTAUT2 framework. The results of the study showed that business expectations had a significant effect on behavioral intention, while performance expectations did not have a significant effect. Behavioral intention also did not have a significant effect on actual usage behavior, indicating a gap between intention and usage in the context of organizational systems that have been integrated into work activities. Conversely, supportive conditions and habits were found to be the main factors influencing usage behavior. In addition, system usage behavior had a positive and significant effect on employee job satisfaction. In mature systems, sustained use depends more on ease of use, organizational support, and work habits than on perceived performance benefits or usage intention. This study extends the UTAUT2 framework to post-adoption contexts, offering practical insights for strengthening system use through structural integration to enhance job satisfaction.
SUPPLY CHAIN RESILIENCE: CALCULATION OF MAXIMUM TOLERABLE DOWNTIME (MTD) AND OPTIMUM STOCK LEVEL WITH A RISK-BASED APPROACH Yoga Wishnu Pradana; Nur Budi Mulyono
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 4 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/8k1gfw10

Abstract

The coal mining sector faces major challenges in maintaining operational continuity due to market fluctuations, logistics disruptions, and external uncertainties. This study evaluates the supply chain resilience of PT XYZ using a risk-based approach. The main objectives are to calculate the Maximum Tolerable Downtime (MTD) and determine the optimum inventory level adjusted to the company's financial risk tolerance limit. Currently, PT XYZ is experiencing an imbalance between production and sales, causing coal stock to approach the maximum capacity limit of 14.7 million tons. The increase in average stock from 2020–2024 has an impact on high storage costs and operational risks. This study integrates operational data, risk assessment models, and quantitative methods to convert financial risk limits into operational limits in tonnage units. The result is a predictive model that functions as an early warning system to help companies maintain operations within safe limits and improve decision making amid uncertainty.
ENHANCING OVERBURDEN PRODUCTION ACHIEVEMENT THROUGH LEAN SIX SIGMA: A CASE ANALYSIS OF PIT WEST MHY MINING OPERATIONS AT PT ABC BY PT XYZ Kevin Satrio Adiguna; Nur Budi Mulyono
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 4 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/awby0q72

Abstract

This research examines the persistent problem of underachievement in overburden (OB) production at Pit West MHY, part of PT ABC’s mining operations, where actual production averaged only 63% of the planned target of Q1 2025. Overburden removal at this site is managed by PT XYZ as the mining contractor. Applying the Lean Six Sigma DMAIC framework, this research systematically identified and analyzed operational inefficiencies contributing to production shortfalls, including long hauling roads slippery after rain, lack of road maintainance (RM) equipment, hauling road damage, truck’s long cycle time, delays during shift changes, limited number of dozing unit at disposal, and queuing at loading fronts. Data sources included internal production reports, time studies, loss time records, and structured discussions with the supervisory team of PT ABC and operational staff of PT XYZ to confirm root causes. Various Lean Six Sigma tools, such as Pareto analysis, time studies, hypothesis testing, cause-and-effect diagrams, and field observations, were used to identify, analyze, and validate these root causes. Targeted improvement actions were implemented, such as addition of RM unit, hot seat change shift procedures, partial resurfacing of critical hauling road segments, additional dozer allocation to improve disposal readiness, and truck fleet split strategies to reduce congestion at loading points. As a result, average daily production achievement increased significantly to over 102% of the target on April 2025. To maintain these gains, standardized daily inspections using Condition Index forms for Haul Road, Front Loading, and Disposal areas were adopted as part of routine operational controls. This research shows that applying the Lean Six Sigma approach can deliver practical and measurable improvements to production reliability in mining operations.
Co-Authors Azizul Amri Edwin Karim Hartati, Sri Kartib Kevin Satrio Adiguna Lutfhi Chairul Alam Muhammad Lufhti Zulfiqor Muhammad Ridwan Zaelani Naufal Shayed Alam Paskah Handikardo Benjamin Nainggolan Sarah Ayu Aqila Yoga Wishnu Pradana