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Selection for Technology Acquisition using AHP: A Case Study of Tulip VAWT Effectiveness Baskoro, Gembong; Sarwono, Edhie; Subekti, Galih Akup; Hendriana, Dena; Nasution , Henry
Jurnal Teknik Industri Vol. 25 No. 1 (2024): February
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol25.No1.1-12

Abstract

The increasing energy demand in Indonesia, particularly from the industrial sector, has heightened the need to reduce reliance on fossil fuels by integrating new and renewable energy (NRE) sources into the energy mix. For the industrial sector, adopting NRE technologies presents options such as purchasing, manufacturing, or acquiring technology. This study focuses on selecting the most effective option for a small Vertical Axis Wind Turbine (VAWT), specifically the Tulip VAWT, by evaluating its hardware performance. The selection process utilizes subjective judgment and the Analytical Hierarchy Process (AHP), considering five key factors: installability, usability, affordability, availability, and maintainability. Results indicate that Technology Acquisition (TA) is the optimal choice, with an AHP score of 0.65, outperforming the purchasing options (0.322) and manufacturing options (0.296). These findings suggest that evaluating these five factors significantly impacts the decision-making process regarding adopting the Tulip VAWT. However, the study does not assess the effectiveness of the associated knowledge (software) or organizational factors, as no established methodology exists for this evaluation yet.
Advanced shooting target with bullet collector, semi-automatic bulls-eye paper positioning and automatic shooting score Hendriana, Dena; Umniyati, Yunita; Soonggalon, Erikson Ferry; Averino, Isaac Hansen; Gartina, Mohammad Rizky; Aryo, Rakhmad; Iwan, Iwan; Yahya, Prima Kharisma Indra
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.006

Abstract

Shooting exercises in Indonesia typically use simple bulls-eye targets on wooden boards with sand backstops, requiring manual setup and score calculation. This setup is inefficient, especially for long-range shooting, as operators must walk far to retrieve targets, and bullets embedded in sand are hard to recycle. This project developed an advanced shooting target featuring a bullet collector, semi-automatic target setup, automatic scoring, and target monitoring. A system with such complete features is not available in the market. This target system has a roll of bulls-eye paper and the roller is powered by a servo motor controlled by a switch to command a fresh new page of bulls-eye its positioning is helped by an infrared sensor to detect markers in the paper for correct positioning. This system is equipped with a bullet collector system by directing the bullet to a container using 450 angled armor and a layer of sand in the container to stop the bullet. This system is also equipped with a camera pointing to the bulls-eye paper and its output is transmitted to a monitor close to the shooter to identify bullet tracks for evaluating his shooting performance and to improve his shooting strategy. The image from the same camera is used for image processing with the OpenCV library and Python scripts to calculate the shooting score automatically. Several physical tests have been conducted and the system proves to perform reasonably well in the tests with some errors of around 3% for single bullet holes and simple multiple bullet holes. Based on test results, the pistol bullets have quite different properties from the rifle bullets. Pistol bullets follow the impact deflection with a coefficient of restitution e = 0 while rifle bullets follow the impact deflection with e ≈ 0.5. The pistol bullets are completely disintegrated after impact while the rifle bullets are just distorted.  
Optimizing Condition Based Maintenance for Assessing Failure Indicators in Heavy Equipment Components Werdaya, Najih M.S.; Hendriana, Dena; Nasution, Henry
Journal of Applied Science and Advanced Engineering Vol. 3 No. 1 (2025): JASAE: March 2025
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v3i1.43

Abstract

The coal industry remains attractive business, making heavy equipment quite essential for efficient coal mining operations. Effective maintenance of this equipment is crucial for maintaining performance, as breakdowns and component failures can lead to significant losses and disrupt mining activities. To mitigate these risks, this study focuses on optimizing Condition-Based Maintenance (CBM) to better identify and reduce component failures. To optimize CBM, especially in assessing component health, an index has been developed to represent component condition. Fifteen parameters are used to determine the health of Komatsu HD785-7 engine components. Each parameter plays a distinct role and carries a different weight in identifying failure indicators for the components. The determination of these weights requires operational analysis approach to achieve optimal values. The index used to represent engine component health is called the Condition Monitoring Index (CMI). Through rigorous monitoring and evaluation, the incidence of unscheduled overhauls can be significantly reduced. The CMI can serve as a guide for determining subsequent proactive maintenance actions. Continuous monitoring and evaluation are essential for detecting early engine component failures.
Development of Smart Locker System with Simultaneous User Access Capabilities for Warehouse Package Handovers Jonathan , Michael; Hendriana, Dena; Nasution , Henry
Journal of Applied Science and Advanced Engineering Vol. 3 No. 1 (2025): JASAE: March 2025
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v3i1.48

Abstract

The burgeoning of e-commerce industry especially instant delivery service provides new opportunities for warehousing companies such as PT. XYZ. However, demand for short time window in the handover process given to the warehouses is essential in the business. Piling carry-over order from previous day in combination with large incoming orders with uncontrollable user arrival time creates queues especially in the early opening hours with significant amount of the overall handover time. This research aims to develop a smart locker system tailor made for the handover purposes with fast access by the warehouse worker and simultaneous user access by scanning a dynamically generated QR Codes on each locker door. The Organic Light Emitting Diode (OLED) display could accurately show the QR Code and the locker doors could successfully open when the user scan the QR Code using the web apps. It is proven that the smart locker system could reduce the handover time with average of the package claiming time of 18.18 seconds reducing the overall handover time to below the desired 5 minutes by PT. XYZ warehouse management team.
Real-Time Temperature Monitoring VHMS Dashboard Development to Reduce Component Unscheduled Breakdown Nur, M. Hidayatullah; Hendriana, Dena; Baskoro, Gembong
BIP's JURNAL BISNIS PERSPEKTIF Vol. 17 No. 1 (2025): Januari
Publisher : Universitas Katolik Darma Cendika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37477/bip.v17i1.697

Abstract

The coal mining industry relies on heavy equipment such as excavators and bulldozers and their efficiencies are critical for the productivity. This paper addresses the issue of unscheduled breakdowns due to high operational temperatures which impacts productivity, equipment availability and maintenance costs. The existing Vehicle Health Monitoring System (VHMS) from Komatsu Original Manufacturing lacks of real-time data for coolant temperature. The data recording is only every 20 hours and data reporting to the monitoring system is transferred daily. This lack of data is leading to unable for identifying the causes of problems. This study proposes a real-time temperature monitoring dashboard for the VHMS to track and manage Komatsu equipment temperature limits and to upgrade the existing system to record temperature data in every second instead of every 20 hours. This fine data collection provides enough information for a comprehensive analysis of machine conditions. This allows for quick identification of abnormal temperature trends, leading to timely maintenance and failures prevention. The new dashboard system provides immediate access to detailed temperature data, facilitating prompt decision-making in maintenance process. It also involves setting new temperature limits to prevent overheating and reduce unscheduled component breakdown from 25% in 2019 to 0% in 2023 and 2024. Implementing a real-time temperature monitoring dashboard is expected to improve equipment availability, reduce breakdowns, optimize maintenance schedules and lower operational costs in the coal mining industry.