Supply Chain Enthusiast

Safe Summit Guardian

Safe Summit Guardian is an Internet of Things (IoT) based mountain climber safety monitoring system. This project aims to improve safety during climbing activities by utilizing RFID technology and the NodeMCU ESP8266 microcontroller integrated with the Telegram application. The system works by recording the presence of hikers through RFID cards scanned at each hiking post, then sending identity data and time in real-time to Telegram. In addition, this tool is also equipped with an SOS feature, where climbers can trigger an emergency signal by scanning five times in a row. In this project, I played a role in the testing and repair stage of the device, ensuring that all components, such as the RFID sensor, RTC, LCD, buzzer, and LED. Work optimally and can provide a fast and accurate response. This project resulted in a prototype that is not only functional, but also resistant to use in an outdoor environment, so it is expected to be an innovative solution to improve safety in mountaineering activities.

Design of Jig Assistive Devices in the Welding Process at Mas Rachmad Workshop

This project is a design of jig tools for the welding process at Mas Rachmad Workshop, an MSME engaged in the repair and manufacture of metal-based tools. The main problem identified is the high level of human error in the welding process, such as measurement errors, placement of materials, and machine settings, as well as low work safety aspects. To overcome these problems, a jig was designed as a production aid using the Poka Yoke method approach to prevent errors from the beginning of the process. This jig allows the workpiece to be positioned and locked precisely during the welding process, thereby increasing efficiency, reducing product defects, and improving work safety standards. The final result of this project is a prototype jig that is able to improve productivity and work quality while supporting the application of occupational safety and health (K3) principles in a small industrial environment.

Critical Goods Inventory Control at PT Bukit Makmur Mandiri Utama Site Indonesia Pratama Using ABC Analysis and Monte Carlo Simulation

This project aims to optimize the inventory control of critical goods at PT Bukit Makmur Mandiri Utama Indonesia Pratama site during the period October 2024 to September 2025. In the face of increasing coal production targets, the company is required to maintain the availability of spare parts so that operations are not disrupted. The method used is ABC Analysis to classify items based on annual consumption value, and Monte Carlo Simulation to predict future demand based on historical distribution. The classification results show that 13 items are classified in category A (critical). For these items, safety stock values were determined, as well as minimum and maximum inventory limits using the minimum and maximum inventory level approach. Simulations were conducted to compare the costs between the research planning results and the practices applied in the field. The results show that this approach is able to generate cost efficiency of Rp. 1,238,321,348 per month, or about 23.37% lower than the actual costs in the field. Thus, the integration of ABC Analysis and Monte Carlo Simulation methods has proven effective in improving the efficiency of inventory management and supporting the smooth operation of the company.

Dashboard Design for Monitoring the Storage Time of Goods in the Warehouse of PT Bukit Makmur Mandiri Utama Site Indonesia Pratama

This project is the development of a dashboard monitoring system to overcome the problem of accumulation of goods in the warehouse of PT Bukit Makmur Mandiri Utama (BUMA) Indonesia Pratama site, especially in the category of user ordered parts. The main problem faced is the limited capacity of the warehouse due to the high number of goods that are not immediately taken by the user, which causes a decrease in operational efficiency and an increased risk of overstock. Through the Failure Modes, Effects, and Criticality Analysis (FMECA) approach, it was found that the high risk in the binning process was the top priority. The solution developed is an Excel Macro VBA-based and Web-Based dashboard system that is able to record the shelf time of goods, display the aging of goods in real-time, and assist the logistics team in prioritizing the release of goods from the warehouse. The main features include recording incoming and outgoing stock, visualizing the proportion of goods categories, and listing aging part users based on value and shelf life. Simulation results show that the system is able to increase the efficiency of goods release from 29.37% to 99.60%, as well as generate potential operational cost savings of up to Rp8,050,000 per month. The dashboard supports data-driven decision-making and can be integrated with a warehouse management system (WMS) to sustainably improve efficiency and productivity.

In this project I also developed the WMS system into a form based on the website. Here is the UI display in the form of a website :

You can visit the WMS UI in the form of a website at the following link :

Visit

Optimization of Inventory Management to Minimize Losses in Coal Storage at PT PLN Nusantara Power Paiton 9 Generating Unit

This project aims to forecast the need for coal usage and determine the optimal level of safety stock and reorder point to support the smooth operation of the power plant at PT PLN Nusantara Power Paiton 9 Generation Unit. The main focus of the research is to optimize the management of coal fuel inventory, which is a vital component in the power generation process at the PLTU. The problems faced include supply fluctuations, the risk of stock shortages, and the threat of spontaneous combustion due to excessive coal accumulation. To overcome this, historical data on coal consumption for the period 2022-2023 was analyzed using the Time Series Exponential Smoothing method, namely Single, Holt, and Holt-Winter. Evaluation of model performance is done by comparing the error value (MAPE), so that the method with the best accuracy can be selected. Furthermore, safety stock calculations are carried out based on variations in demand and lead time, as well as determining reorder points so that reorders can be made on time. This project produces recommendations for a more accurate and reliable coal demand planning system, which directly contributes to the efficiency of the energy supply chain and mitigates the risk of fuel shortages in the power plant environment.

Implementation of Sustainable Supply Chain Management in the Forestry Industry

This project aims to analyze and minimize the negative impacts of Perum Perhutani’s supply chain through the approach of Sustainable Supply Chain Management (SSCM). The analysis focuses on the economic, social, and environmental aspects of procurement, production, distribution, and consumption processes. Through field observations and process mapping, opportunities were identified for cost efficiency and emission reduction. Recommendations include selecting environmentally friendly vendors, maintaining production equipment, reducing distribution travel distances, and implementing product recycling incentive schemes to create a more sustainable supply chain.