Jurnal Otomasi Kontrol dan Instrumentasi

Development of Raspberry Pi-Based Lecturer Status Display Features Using Rapid Application Development (RAD) Method in Academic Environment

2025-03-25T16:27:44+07:00

The advancement of information technology drives improvements in academic services, including providing fast and transparent access to lecturer attendance status information. This study develops a Raspberry Pi-based lecturer status display to show real-time lecturer attendance. The system is developed using the Rapid Application Development (RAD) method through the stages of data collection, analysis, design, implementation, and testing. Functional testing results show a 98% accuracy rate in data synchronization between the database and the display screen. A questionnaire distributed to 12 lecturers revealed that 86.7% of respondents found the application highly beneficial in quickly and transparently obtaining lecturer attendance information. Thus, this application can enhance efficiency and information transparency in the academic environment

Fuzzy Logic and IoT Implementation for Optimizing and Monitoring AC and Lighting

2025-04-18T00:29:09+07:00

Generally, the operation of lights and Air Conditioners (AC) in a room is still done manually and is not adjusted to actual needs or conditions. This can cause a waste of electrical energy, which increases electricity costs. This research aims to design a room light and temperature control system to optimize the operation of lights and air conditioners in accordance with SNI 6197:2011 concerning lighting standards and SNI T-14-1993-037 concerning thermal standards. The operation of the lamp is based on three light conditions, namely, dark, medium, and bright. The operation of the AC with three membership sets of temperature, namely, down, medium, and up, is the result of processing the Sugeno fuzzy logic method based on three membership sets of room temperature, namely, cold, normal, and hot, and also based on three membership sets of the number of people, namely, few, medium, and many. This system consists of an SHT20 temperature sensor, TSL2561 light sensor, HC-SR501 motion sensor, E3JK-S4M2 photoelectric sensor, and PZEM-004T electrical sensor as well as ESP32 microcontroller as the controller of TL light actuator and air conditioners actuator. The results of testing for two days at the PPNS Robotics and Artificial Intelligence Laboratory show that the designed system can reduce the use of electrical energy by 14.2 kWh, equivalent to Rp.7.512,44,- from 32.5 kWh, equivalent to Rp.33,950,- to 18.3 kWh, equivalent to Rp.26,438,-.

Innovating Elderly Mobility with Crane Claw-Integrated Walking Aids

2025-04-14T20:09:57+07:00

Elderly-supporting technology is a continuously evolving field as new needs emerge and novel solutions are developed. This work addresses the challenge elderly individuals face in picking up objects from the floor, a task often painful or difficult for those with back pain. Currently, no such assistive system is available on the market. This study aimed to develop a crane claw-integrated walking stick that enables object retrieval without bending, enhancing mobility and reducing fall risks. By integrating the claw with the walking stick, the design eliminates the need for an additional tool. Three design concepts, using repurposed 3D printer parts, were evaluated for performance, simplicity, and cost, resulting in the selection of a cable winch mechanism. Stress and fatigue analyses using SolidWorks ensured safety; the claw assembly exhibited a maximum stress of 7.238×10⁶ Pa, a safety factor of 4.8, and a fatigue life of 691,507 cycles. The product was fabricated from PLA with 50% infill and a tri-hexagonal pattern. A mechatronics system—comprising an Arduino UNO, DC motor, H-Bridge L298N module, and sensors—enabled precise control of the claw mechanism. The final device promotes independence and mobility for elderly users, offering a practical, ergonomic, and user-friendly solution.

Design of Adaptive Cruise Control (ACC) System with Fuzzy Logic Method on Robo Car Prototype

2025-04-14T20:12:19+07:00

The rapid growth of four-wheeled vehicles in Indonesia has contributed to an increase in traffic accidents, where human error is a significant factor. Adaptive Cruise Control (ACC) is a technology that has been widely implemented in Advanced Driver Assistance Systems (ADAS) to improve driving safety. This study develops a Fuzzy Logic Controller (FLC)-based ACC system using ESP8266 as the main microcontroller to optimize adaptive vehicle speed control based on the distance to the object in front. This system is designed to process distance and speed data in real-time, allowing it to adjust the vehicle's speed without sudden changes. A fuzzy logic model was developed and validated through MATLAB simulations before being implemented into hardware. Test results indicate that the FLC-based ACC system can maintain a safe distance and dynamically regulate speed, exhibiting smoother speed transitions compared to conventional methods. A comparison between MATLAB simulation results and real-world implementations shows that the system can operate with high accuracy, despite differences due to environmental factors. With this success, this research proves that FLC can be a more flexible alternative in ACC systems and has the potential to be applied in the development of electric and autonomous vehicles in the future.

Implementation of Model-based Convolutional Neural Network for Ginger Candy Image Feasibility Classification on Android Device

2025-03-16T10:33:44+07:00

Ginger is one of the primary ingredients for ginger candy. The manual process of evaluating the feasibility of ginger candy at the Tasacika Company is still prone to errors and is less efficient. This research aims to develop a Convolutional Neural Network model for classifying the feasibility of ginger candy and create an Android-based application that facilitates this process. The research method uses an Experimental approach. Model development is carried out with a Convolutional Neural Network with the MobileNetV2 architecture, using the Cross Industry Standard Process for Data Mining methods. Software development is done using the Prototyping method. This research used a dataset of images taken directly from the Tasacika Company's ginger candy factory. The model is trained and tested using Google Colab with the Python programming language and the TensorFlow and Keras libraries. Implementation is carried out using Kotlin and XML. It can be concluded that the research has succeeded in developing a ginger candy feasibility classification model. The test results show that the developed model is effective in minimizing human error in the process of checking the feasibility of ginger candy. This research also succeeded in developing an Android-based ginger candy feasibility classification application

PID Controller Tuning of DC Motor Speed for Weighing-Scale Lifting Robot Arm

2025-04-18T16:44:33+07:00

The rapid development of technology allows human work to be replaced by robot technology. The most frequently used robot in industry is the robot arm. The robot arm can imitate the human arm's characteristics, so it is often used to help humans lift and move goods. With this principle, the robot arm can be used as a weight-lifting robot to aid in calibrating electronic scales. This paper analyzes the control of the DC motor on a weighing-scale lifting robot arm by optimizing the overshoot with PID (Proportional - Integral - Derivative) control. The PID Control test results on the DC motor rotation are stable at 100 rpm with a steady state error of 0%. The system's response to the DC motor has a settling time of 1,26 s and an overshoot of 2%.