J-Eltrik

Study of the Potential Analysis for a Micro Hydropower Plant on the Welang River, Purwodadi District, Pasuruan Regency

Nur Ulfa Mauludina, Yasmin Fakhira Ichsan, Millatina Fadhilah — Wed, 01 Nov 2023 00:00:00 +0000

This research aims to explore the potential utilization of electrical energy from the Welang River through the establishment of a Micro Hydro Power Plant (PLTMH) as a solution to the shortage of electricity supply in isolated areas. The Welang River was chosen due to its highly potential characteristics for development as a renewable energy source. The population around the Welang River has long relied on this natural resource, but its full potential has not been fully utilized. The analysis results show that the Welang River has significant potential, with PLTMH contributing about 0.036% of the electricity needs in Pasuruan Regency. The study involves the analysis of water discharge, river elevation, and water flow characteristics. Nevertheless, routine evaluations are required to ensure the sustainability and availability of electricity from PLTMH in the long term.

Design and Implementation of Automatic Solar Panel Cleaner with IoT Technology in Public Street Lighting for Optimal Performance

Faisal Raja Naban, Daeng Rahmatullah — Wed, 01 Nov 2023 00:00:00 +0000

This paper explores the development and implementation of an automated solar panel cleaning system using IoT technology, aiming to improve the efficiency of solar-powered street lighting (PJU) systems. The accumulation of dirt on solar panels significantly reduces their efficiency, impacting the overall performance of the street lighting system. The proposed system addresses this issue by integrating voltage and current sensors that monitor the panels, with the data processed by a microcontroller using Arduino. This information is then transmitted to the user's smartphone, enabling real-time monitoring and anomaly detection, which facilitates immediate cleaning action when required. The experimental results demonstrate the system's effectiveness, showing an increase in voltage, current, and power output after cleaning. Specifically, the voltage increased from 16.45 V to 17.35 V, the current from 0.52 A to 0.61 A, and the power from 8.55 W to 10.68 W, indicating improved solar energy absorption and conversion. The study highlights the importance of regular maintenance to maintain optimal performance and extend the life of solar panels, offering a cost-effective and reliable solution for public energy infrastructure. The integration of IoT technology overcomes the inefficiencies of manual cleaning methods, which are labour-intensive and costly, while also posing risks of damage and accidents. The IoT-based system enables real-time monitoring and control, improving the reliability and consistency of the cleaning process. This research significantly contributes to the development of effective and efficient solar panel cleaning technologies, promoting sustainable energy solutions for public infrastructure.

Implementation of Inverse Kinematics on a Garbage Picking Robot Arm

Annisa Rizka Fitriani — Wed, 01 Nov 2023 00:00:00 +0000

Technological developments in the field of robotics are very rapid, various kinds of robots have been created to help human life. To support technological developments in Indonesia, many robots have been created. One of the robots being developed is a waste sorting robot. This waste sorting robot is a type of manipulator robot or robot whose mechanical system resembles the working system of a human hand and is able to place things precisely. Therefore, it is very important to pay attention to controlling the movement of the robot arm so that it can pick up the waste. In this research, the Inverse Kinematic method was used to control the movement of the robot arm so that it can pick up trash properly. From the research results, the application of Inverse Kinematic succeeded in making the robot arm move to pick up trash well. Meanwhile, the average coordinate error is obtained for all trash positions on the X-axis was 4,17%, the Y-axis was 6,83%, and the Z-axis was 5,64%.

DESIGN AND DEVELOPMENT OF A DIGITAL ACADEMIC INFORMATION DISPLAY WITH CONTROL THROUGH AN ANDROID MOBILE APPLICATION

Muchlis Nanda Agung Anafi, Joko Subur, Safriudin Rifandi — Wed, 01 Nov 2023 00:00:00 +0000

Information displays in the university environment play an important role in providing clear access to information and encouraging active participation from students, staff, and visitors. This study examines the importance of information displays at Hang Tuah University in encouraging academic community engagement, increasing awareness of campus activities, and expanding the scope of relevant information. The Faculty of Engineering and Marine Sciences at Hang Tuah University does not yet have an automatically updated academic information display. This information system uses IoT-based wireless communication controlled via Android. This methodology uses primary data collection and literature study. In the initial stage of hardware creation, the type and color of the Dot Matrix were selected. Meanwhile, in software creation, an Arduino Uno microcontroller and the MIT App Inventor application were used as system data control. The result of this final project is an information system that can be controlled via MIT App Inventor. This control is used to update the time, date, month, year and academic information data in the form of running text.

The Indonesian National Armed Forces' Defense Strategy in Facing the Papuan Armed Forces' Insurgency Actions in Strengthening the Defense of the Unitary State of the Republic of Indonesia: A Study of Commercial Drone Utilization

Suhirwan Suhirwan — Wed, 01 Nov 2023 00:00:00 +0000

This study examines the use of commercial drones by the Indonesian National Armed Forces (TNI) in countering the Armed Criminal Group (KKB) insurgency in Papua, which poses a serious challenge to national security. The deteriorating security situation in the region, demonstrated by more than 100 violent incidents in 2022, has prompted the need for innovative approaches to defense strategy. Qualitative research methods were used to explore the effectiveness and strategies for utilizing commercial drones, with data collected through literature review and thematic analysis. The results indicate that the use of commercial drones can increase intelligence accuracy by up to 30% and reduce risks to TNI personnel, despite challenges related to range and infrastructure. The study recommends the development of supporting infrastructure, ongoing training, and collaboration with technology institutions to optimize drone use. These findings provide a strategic contribution to the TNI in maintaining the sovereignty of the Unitary State of the Republic of Indonesia (NKRI) and creating stability in Papua.

Direct Torque Control Based on Adaptive Neuro Fuzzy Inference System for Induction Motor Speed Control

Tommy Nana Pradana — Wed, 01 Nov 2023 00:00:00 +0000

Induction motors are the motors are widely used in the industrial world, in addition to relatively low prices, easy maintenance. This motor has a good Traffic on rotational speed. The weakness of this motor is at that point in the load torque, the motor speed will change. In writing this thesis discussed the induction motor speed control system with the method of DTC (Direct Torque Control) that can provide rapid response in the event of changes in the load torque so the motor stays on steady footing steate and will return position at setpoint quickly. To obtain performance speed control of three phase induction motors with the method of DTC (direct torque control) requires a good control system, meaning that the control system that can follow changes in speed (setpoint) quickly. Thus the speed control of three-phase induction motor using DTC (direct torque control) was developed using intelligence control ANFIS (Adaptive Neuro Fuzzy Inference System). The results of the simulation with Simulink shows that the controller ANFIS control induction motor speed does not load at start overshoot 0.7%, rise time of 1 second and setling time 1.1 seconds for a speed reference 1800 rpm, and when given the burden of 20nm overshooting 12:27% on the speed reference 1500rpm. By using Direct Torque Control (DTC) based Adaptive Neuro Fuzzy Inference System (ANFIS) were able to keep pace with the dynamic reference well and can suppress ripple down to a very low level.