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Journal of Applied Science and Advanced Engineering
Published by Universitas Gunadarma
ISSN : -     EISSN : 29857252     DOI : https://doi.org/10.59097/jasae.v2i2
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering Physics
JASAE | Journal of Applied Science and Advanced Engineering (ISSN: 2985-7252) is an international, multidiscipline, open access, peer-reviewed scholarly Journal published biannually for researchers, developers, technical managers, and educators in the field of science and engineering. The Journal aims to become an international forum for the research and development community to publish articles of the highest quality in all science and engineering disciplines. We invite you to submit your work to the Journal. Papers relating directly or indirectly to all aspects of these fields are also welcome to submit. JASAE intended to provide a forum for expressing new ideas and a place to expound on these areas of knowledge that can further understand science and Engineering issues and concerns.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 36 Documents
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The Use of MQ 3 Sensor in Measuring Benzo[a]Pyrene Compound From Wood Husk Combustion Process with Robotdyn Uno R3 WiFi Putra, Alga Pradipta Ananda; Wardoyo, Arinto Yudi Ponco; Anggraeni, Dewi; A, Renetha Salma Myesha
Journal of Applied Science and Advanced Engineering Vol. 2 No. 2 (2024): JASAE: September 2024
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v2i2.37

Abstract

BaP (Benzo[a]pyrene) is one of the Polycyclic Aromatic Hydrocarbon (PAH) compounds produced from the combustion process of organic materials such as wood husks. This study aims to utilize the MQ 3 sensor integrated with RobotDyn Uno R3 WiFi microcontroller to measure BaP concentration in gas emissions from wood husk combustion. The MQ 3 sensor was chosen for its sensitivity to BaP compounds. In this experiment, the MQ-3 sensor achieved an accuracy of 85% with a BaP measurement range from 0 to 26 ppm. Measurements were conducted on wood husks with BaP concentrations varying from 0 to 4 ppm. The results indicate that this method is effective for real-time monitoring of BaP levels in wood husk combustion processes, with potential applications in controlling toxic gas emissions from such processes
Real-time surveillance of formaldehyde gas levels in sugar carbonation processes through web-enabled MS1100 sensor monitoring Afifah, Arsa; Wardoyo, Arinto Yudi Ponco; Jatra, Ananta S; A, Renetha Salma Myesha
Journal of Applied Science and Advanced Engineering Vol. 2 No. 2 (2024): JASAE: September 2024
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v2i2.38

Abstract

The refining process of sugar cane juice includes a crucial stage termed carbonation, which is pivotal for achieving pH balance through the utilization of carbon dioxide (). The need for is fulfilled by burning biomass, including rice husks and sugarcane bagasse. However, this process can generate hazardous compounds, notably Formaldehyde (), posing significant health risks. To address elevated Formaldehyde concentration, a monitoring system is implemented, employing an MS1100 sensor for real-time monitoring within the carbonation tank. The data is transmitted to a web-based platform via Robotdyn Uno Wi-Fi R3, with direct data storage on a micro SD card to ensure persistence even during Wi-Fi disruptions. The system confirms the efficacy of monitoring the formaldehyde concentrations both indoors and outdoors, maintaining levels within the safe thresholds. The system demonstrates high accuracy, making it a viable solution for monitoring and regulating Formaldehyde emissions during biomass burning in the sugar industry.
Measurement of Benzo[a]pyrene Concentration in Tobacco Combustion using MQ-6 Gas Sensor Cantika, Faradisa Aprilicha; Wardoyo, Arinto Yudi Ponco; Putro, Triswantoro; A, Renetha Salma Myesha
Journal of Applied Science and Advanced Engineering Vol. 2 No. 2 (2024): JASAE: September 2024
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v2i2.40

Abstract

Benzo[a]pyrene is one of the compounds from the Polycyclic Aromatic Hydrocarbons (PAHs) group that is found in various places as a by-product of combustion. In addition, this compound also has carcinogenic properties so it has a bad impact on human health. Therefore, research is needed to detect the presence of benzo[a]pyrene compounds by designing a measurement system for this detection, especially in burning tobacco. The measurement system that has been designed uses a RobotDyn Mega WiFi 2560 microcontroller and an MQ-6 gas sensor that has been calibrated with benzo[a]pyrene compounds. The results showed that the concentration of benzo[a]pyrene detected when burning tobacco at a mass of 0.33 gram was 4.86 ppb, 7.38 ppb for 0.436 grams mass burning, and was 8.81 ppb for burning at a mass of 0.52 grams. Therefore, this measurement system has been able to detect benzo[a]pyrene compounds
Energy Performance Indicator of a Gold Mining Industry in Indonesia Mahandari, Cokorda Prapti; Yamin, Mohamad; Palaloi, Sudirman; Hasan, Muhammad Syukri; Kurniawan, Cucuk
Journal of Applied Science and Advanced Engineering Vol. 2 No. 2 (2024): JASAE: September 2024
Publisher : Master Program in Mechanical Engineering, Gunadarma University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59097/jasae.v2i2.41

Abstract

Energy Audit follows ISO 50002 standard had been done on one of gold mining industry in North Maluku, Indonesia that has operations involving two underground mining. As part of the energy audit report, this paper present energy sources and energy consumption, specific energy consumption cum energy intensity of the plant.  Energy audit methods include energy audit planning, opening meeting, data collection, measurement plant, siti visit, data analysis, energy audit reporting and closing audit. Most electricity data were collected from the SCADA system which the company use to monitor and control maximum electricity demand. Arithmetic mean, energy intensity equation and visual graphic methods had been employed to investigate energy profile and energy performance indicator of this gold mining. As the site located far away from the national grid then four Diesel powerhouses generates the electricity. Fuel consumption for four unit mainly electricity generation, transportation, heavy duty and supporting are investigated thoroughly. Since Diesel powerhouse occupy more than 80 % fuel consumption then the Diesel power houses is the Significant energy users (SEU). Further study SEC and on heat rate of the powerhouse is carried out and benchmarked with the IEA. It shows that the powerhouses have excellent performance as SEC and heat rate is lower than typical powerhouses. The powerhouse distributed electricity to four different unit, Kencana Underground Mining, Toguraci underground mining, Mill and Merril Crowe Processes and Supporting Unit. Among these units, Togurachi under gound mining with its uniqueness become the highest electricity end user as expected. It covers more than 40 % electricity consumption resulting quite high total energy intensity by ore milled which is approximately 475 kWh/ton (1710 MJ/ton) and energy intensity by Dore bullion is 1,420 kWh/ounce (5108 MJ/oz).
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.
Performance of the GRBLGru-driven Tiny Machine to Automate the Scratching and Drilling Processes Goeritno, Arief; Wicaksono, Nugroho Adi; Irawan, Rudi; Muhidin, Muhidin; Azama, Irham Muhammad; Purwanto, Eko Hadi
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.v3i1.51

Abstract

This article is entirely based on a prior research article about an Arduino board-based electrical device that runs the micro-machine for printing the circuit board using GRBL-Gru software. In this article, two primary discussions relate to the research's objectives: performing the system for processing scratch and drill, selecting a spindle DC motor, and determining the necessary electrical power. The two research objectives were accomplished in stages detailed in the research methodologies. Instead of the component layouts on the PCB plate that were obtained and the electrical power needs for the axis-directed stepper motors and the DC motor for the spindle, the results of the operation tests for scratching and drilling are seen. Based on these findings, it is possible to conclude that the system's operation is consistent with the design and eventual objective of creating a tiny machine using a microcontroller to automate the scratching and drilling processes.
The RoBatt: Battery Sorting Robot using Epson VT6 and YOLO v8: An innovative battery sorting system that integrates YOLOv8 object detection with an Epson VT6 robot and electromagnetic gripper Mistry, Faizan; Prasetyo, Judhi
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.v3i1.53

Abstract

This project explores the differentiation of AA, D, and 9V batteries using RoBatt, an Epson VT6 robot integrated with YOLOv8, a state-of-the-art object detection model. The robotic arm is controlled to detect and sort batteries using parameters modeled by the YOLO v8. The use of YOLO v8 allows such detection and classification to occur instantly without compromising the efficiency of the sorting process. Additionally, to improve its operational capabilities, RoBatt is equipped with electromagnetic gripper for the purpose of attracting batteries. The result of the study shows viability to use deep learning and robotics for sorting batteries, and it can be done for commercial or recycling purposes. This integration presents a novel concept for battery waste management and recycling system.
Development of Simulator for Smart Anti-Flooding Systems: Fostering Hands-On Learning in University Education Muhida, Riza; Riza, Muhammad; Murwadi, Haris; Nurhasanah, Any; Legowo, Ari; Harsoyo, Agung
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.v3i1.54

Abstract

The Flooding remains one of the most challenging natural disasters, causing widespread damage and disruption across urban and rural areas. As the frequency and intensity of floods increase due to climate change and urbanization, there is a growing need for effective flood management systems. This paper presents the development of a **Smart Anti-Flooding System (SAFS)** simulator designed to enhance hands-on learning for university students, particularly in engineering, disaster management, and environmental science programs. The SAFS integrates sensors, microcontrollers, pumps, and photovoltaic (PV) panels into an autonomous flood management system, offering students the opportunity to bridge the gap between theoretical knowledge and real-world application. The simulator monitors water levels using ultrasonic and level sensors, while controlling pumps and servo motors based on real-time data, enabling automatic water redirection in flood-prone areas. Powered by renewable energy, the system incorporates sustainability into flood management, making it a relevant tool for both education and disaster resilience. This paper highlights the SAFS's integration into university curricula, the learning outcomes achieved, and feedback from students who used the system. The results indicate that the simulator significantly enhances students' practical skills, fosters collaboration, and promotes a deeper understanding of disaster management through experiential learning
Utilization of IoT for Measuring Hydrogen Production in a Photovoltaic-Solid Polymer Electrolyte (PV-SPE) System Muhida, Riza; Riza, Muhammad; Harsoyo, Agung; Murwadi, Haris; Legowo, Ari
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.v3i1.55

Abstract

The integration of the Internet of Things (IoT) technology into a Photovoltaic-Solid Polymer Electrolyte (PV-SPE) system offers an innovative solution for monitoring and optimizing hydrogen production in real time. This study presents the design and implementation of an IoT-based monitoring system for a PV-SPE hydrogen production system, utilizing ESP32 microcontrollers to collect and transmit critical operational data, including voltage, current, temperature, humidity, and hydrogen flow rate, to the Adafruit IO cloud platform. A Maximum Power Point Tracking (MPPT) controller was employed to optimize power transfer from the solar panel to the SPE electrolyzer, ensuring maximum efficiency in the electrolysis process. Experimental results confirmed that hydrogen production rates correlate directly with PV power output, with the IoT-enabled system providing efectively measurement compared to conventional methods. The system demonstrated stable data acquisition, real-time monitoring, and remote accessibility, allowing users to track hydrogen generation performance efficiently. This study concludes that the combination of IoT, renewable energy, and electrolysis technology enhances the efficiency, and scalability of hydrogen production systems

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