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All Journal International Journal of Electrical and Computer Engineering Erudio: Journal of Educational Innovation Natural B JURNAL INTEGRASI Techne : Jurnal Ilmiah Elektroteknika Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Journal of Applied Electrical Engineering Journal of Community Service and Empowerment Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Rekayasa elektrika Engagement: Jurnal Pengabdian Kepada Masyarakat
Ika Karlina Laila Nur Suciningtyas
Politeknik Negeri Batam
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mechanical Engineering Social Sciences Other

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Alat Pemantau dan Penghitung Jumlah Pengunjung Berbasis Aplikasi Telegram Rindang Alamsyah; Ika Karlina Laila Nur Suciningtyas; Nanta Fakih Prebianto; Iman Fahruzi; Imam Sholihuddin; Abdurahman Dwijotomo; Lalu Kaisar Wisnu Kita; Indra Daulay
Journal of Applied Electrical Engineering Vol. 7 No. 1 (2023): JAEE, June 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v7i1.5459

Abstract

A visitor monitoring and counting device is a tool designed to send information in the form of images and the number of visitors detected through a camera and sensors installed on the device. This device is based on the Telegram application using the ESP32-CAM module as the camera to capture images of each incoming visitor. The device is equipped with an infrared sensor used to detect incoming visitors. The device works by counting the number of visitors when they enter, and then sending a signal to the ESP32-CAM to capture a physical image as evidence. The data from the device's operation is sent through the Telegram application. The research results show that the device functions well at a distance of 60 cm, but it does not function properly at a distance of 90 cm. The average time required for the device to send an image to the application is 2.5 seconds. The fastest time required by the system to read data between one visitor and the next is 15,4 seconds.
Rancangan Sistem Kontrol dan Monitoring pada Wire Selection Boxes Suciningtyas, Ika Karlina Laila Nur; Risandriya, Sumantri Kurniawan; Ismail, Aziz; Maulana, Rifky Daniel
Journal of Applied Electrical Engineering Vol. 8 No. 2 (2024): JAEE, December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i2.8797

Abstract

The issue of incorrect material usage in the industry's production process is a primary focus for quality control, as it directly impacts customers. This research was conducted due to challenges in maintaining the continuity of the manual cable selection process. Currently, cable selection involves choosing cables stored in various boxes with different specifications. Therefore, a system is needed to enhance the effectiveness and efficiency of the cable selection process. The approach used to address this issue involves developing a user interface for input, which is processed using a Raspberry Pi 4 connected to a servo motor that functions as the opener and closer of the cable storage boxes. The interface includes a login menu, a control menu, and a menu that allows users to add their own data. Additionally, the PCA9685 driver module is connected to the Raspberry Pi 4 to control 66 servo motors. The results of this research enhance the cable selection process by increasing its effectiveness and efficiency, as shown by a tool utilization effectiveness rate of 80.4%.
Identification Food Nutrition and Weight Prediction using Image Processing Sani, Abdullah; Silitonga, Ricky; Mishthafiyatillah, Mishthafiyatillah; Lalu Kaisar Wisnu Kita; Ika Karlina Laila Nur Suciningtyas; Ririn Humaera; Budiana , Budiana
Journal of Applied Electrical Engineering Vol. 9 No. 1 (2025): JAEE, June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i1.9492

Abstract

Obesity is a global issue with rising prevalence each year, driven partly by excess nutrient and calorie intake. Identifying nutrient content in food is vital to prevent obesity. This research employs image processing, specifically the YOLO (You Only Look Once) algorithm, to classify and identify fruits and vegetables quickly and accurately. YOLO is advantageous for its speed and ability to classify multiple objects simultaneously. The goal is to develop a system that recognizes, classifies, and predicts the weight of fruits and vegetables, providing nutritional and calorie information. Tests showed that the system accurately detects produce under various lighting conditions—achieving 100% accuracy with additional ring light (600–650 lux) and 99.2% without extra lighting. Beyond object detection, the system predicts weight with an average error of 5.6% when illuminated. This technology has the potential to aid users in monitoring nutritional intake by providing reliable identification and calorie data, contributing to obesity prevention efforts.
Klasifikasi Wajah Manusia Menggunakan Multi Layer Perceptron Jefiza, Adlian; Diono, Diono; Putra, Irwanto Zarma; Budiana, Budiana; Nur Suciningtyas, Ika Karlina Laila; Siregar, Lindawani; Puspita, Widya Rika; Harlan, Fandy Bestario; Assegaf, Iqchan; Marpaung, Roy Hitmen
JURNAL INTEGRASI Vol. 15 No. 2 (2023): Jurnal Integrasi - Oktober 2023
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v15i2.4843

Abstract

The problem of data security at a time when it is needed in the world of technology. The use of biometrics as data security is very necessary. This study aims to detect human biometrics using the Kinect sensor. The biometric that is detected is the face. The face image is captured by the Kinect sensor. For data feature extraction using Gray Level Co-Occurrence Matrix (GLCM. The parameters used are Contrast, Energy, Homogenity, and Correlation. The data obtained will be classified using Multi Layer Perceptron. Face classification is based on race. There are 3 races studied namely Indonesian, Chinese and African Native Races. The total data used are 100 photos of faces. The classification results show an accuracy of 86.7% using Multi Layer Perceptron
Comparative Analysis between SA-516 Gr 70 Material with SA-537 Class 2 Material in Shell Pressure Vessel Fabrication Process Puspita, Widya Rika; Putri, Sarah Athaullah Wenna; Jefiza, Adlian; Arifin, Muhammad; Maulidah, Hana Mutialif; Nakul, Fitriyanti; Suciningtyas, Ika Karlina Laila Nur; Putra, Irwanto Zarma; Budiana, Budiana; Futra, Asrizal Deri; Wivanius, Nadhrah
JURNAL INTEGRASI Vol. 16 No. 2 (2024): Jurnal Integrasi - Oktober 2024
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v16i2.8563

Abstract

A pressure vessel is a container designed to hold fluids under pressure, including liquids and gases with varying pressures and temperatures. The pressure exerted on the vessel's walls and body is a critical factor that must be carefully considered to ensure compliance with applicable international design standards and prioritize worker safety and security. This research focused on a pressure vessel to investigate the impact of temperature on shell thickness to meet ASME standards. The study utilized shell components made from SA-516 Gr 70 and SA-537 materials. Experiments were conducted with each material at temperatures of 250°C, 235°C, and 343°C, revealing that thickness varies based on material and temperature. The research findings demonstrate compliance with ASME standards, as the shell thickness in all trials exceeded the minimum specified in the drawings.
Rancang Bangun Alat Penetas Telur dengan Sistem Pengendali Suhu dan Kelembapan Menggunakan Metode Fuzzy dan Monitoring Berbasis IoT: Rancang Bangun Alat Penetas Telur dengan Sistem Pengendali Suhu dan Kelembapan Menggunakan Metode Fuzzy dan Monitoring Berbasis IoT Wendy Kriswanto Simangunsong; Manurung, Cyntya Tri Hartati; Suciningtyas, Ika Karlina Laila Nur
JURNAL INTEGRASI Vol. 17 No. 1 (2025): Jurnal Integrasi - April 2025
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v17i1.9478

Abstract

The egg hatching process is an important stage in the poultry farming industry that requires optimal temperature and humidity control. This research develops an automatic egg hatcher equipped with Mamdani fuzzy logic-based control and Internet of Things (IoT)-based monitoring. The fuzzy system is used to precisely regulate temperature and humidity, while IoT technology enables real-time monitoring through a digital platform. The test results show high accuracy with an average error of 0.78% for temperature and 1.08% for humidity. IoT monitoring has reliable performance with a data transmission delay of 5-7 seconds. In addition, it achieved 71,4% hatchability, proving its effectiveness in creating optimal environmental conditions for hatching. It provides a modern solution that improves the efficiency, productivity, and quality of hatching eggs, and makes it easier for farmers to monitor and control the process automatically.
Analisis pH Level pada Purwarupa Alat Monitoring pH Level Secara Real-time Sebagai Optimalisasi Proses Nickel Plating di Industri Ramadhan, Rahmat Ersya; Ika Karlina Laila Nur Suciningtyas; Sani, Abdullah; Yusiran
Techné : Jurnal Ilmiah Elektroteknika Vol. 24 No. 2 (2025)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v24i2.604

Abstract

Nickel plating adalah metode penting untuk meningkatkan ketahanan korosi dan performa produk, terutama dalam pembuatan lampu medis di PT XYZ. Masalah utama dalam proses ini adalah menjaga kestabilan pH larutan, yang sebelumnya dipantau secara manual dan rentan terhadap fluktuasi yang ekstrem. Untuk mengatasi masalah ini, penelitian ini membuat dan mengimplementasikan analisis pH level serta alat monitoring pH real-time yang merekam data secara kontinu, memberikan alarm saat pH keluar dari rentang spesifikasi, dan menampilkan data historis melalui antarmuka web. Hasil pengujian menunjukkan akurasi tinggi dengan rata-rata error kurang dari 2% dan peningkatan efisiensi waktu sebesar 93.75% dibandingkan metode manual. Hasil analisis Pearson correlation menunjukkan tidak ada hubungan signifikan antara waktu dan pH. Analisis I-MR chart pada empat tank mengungkapkan variasi stabilitas pH, dengan tank 10C menunjukkan performa terbaik, sementara tank 10B memerlukan perhatian khusus akibat ketidakstabilan tinggi.
Autonomous mobile robot implementation for final assembly material delivery system Firdaus, Ahmad Riyad; Sholihuddin, Imam; Hutasoit, Fania Putri; Naba, Agus; Suciningtyas, Ika Karlina Laila Nur
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i1.pp158-173

Abstract

This study presents the development and implementation of an autonomous mobile robot (AMR) system for material delivery in a final assembly environment. The AMR replaces conventional transport methods by autonomously moving trolleys between the warehouse, production stations, and recycling areas, thereby reducing human intervention in repetitive logistics tasks. The proposed system integrates a laser-SLAM navigation approach, customized trolley design, RoboShop programming, and robot dispatch system coordination, enabling real-time route planning, obstacle detection, and material scheduling. Experimental validation demonstrated high accuracy in path following, with root mean square error values ranging between 0.001 to 0.020 meters. The AMR achieved an average travel distance of 118.81 meters and a cycle time of 566.90 seconds across three final assembly stations. The overall efficiency reached 57%, primarily due to reduced idle time and optimized material replenishment. These results confirm the feasibility of AMR deployment as a scalable and flexible intralogistics solution, supporting the transition toward Industry 4.0 smart manufacturing systems.
Robotics training to improve STEM skills of Islamic boarding school students in Batam Eko Rudiawan Jamzuri; Hendawan Soebhakti; Senanjung Prayoga; Rifqi Amalya Fatekha; Anugerah Wibisana; Fitriyanti Nakul; H. Hasnira; Riska Analia; S. Susanto; Ryan Satria Wijaya; Ika Karlina Laila Nur Suciningtyas; Widya Rika Puspita; Eka Mutia Lubis; Adlian Jefiza; B. Budiana; Ahmad Riyad Firdaus
Journal of Community Service and Empowerment Vol. 5 No. 1 (2024): April
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jcse.v5i1.26895

Abstract

One potential approach to addressing the challenges posed by the advent of Industry 4.0 and Society 5.0 is to offer robotics training. This endeavor aims to enhance students' foundational understanding of STEM (Science, Technology, Engineering, and Mathematics) disciplines. The study involved collaborating with the Pondok Pesantren Granada, an Islamic Boarding School located in Batam, to provide robotics training as community service activities. The study included 29 trainees: 15 from class XI and 7 from classes X and XII. The teaching was conducted using a combination of didactic instruction, interactive discourse, and hands-on exercises. Trainees are administered a written examination to assess their proficiency level before and after the training program. The training outcomes exhibited a significant improvement in the mean STEM proficiency of trainees, with an increase of 38.15%. Furthermore, a series of activities have been effectively implemented, resulting in trainee satisfaction ratings exceeding 50% concerning course materials, trainer, and teaching equipment. A mere 17% of the individuals undergoing training expressed dissatisfaction with the allocated time, particularly the hands-on component's duration.
Co-Authors Abdullah Sani Abdurahman Dwijotomo Adlian Jefiza Agus Naba Ahmad Riyad Firdaus Ahmad Riyad Firdaus Akhmad Afandi Akhmad Jufriadi Andi Hartanto ANUGERAH WIBISANA Ari Wira Saputra Arif Febriansyah Juwito Arif Rachmansyah Assegaf, Iqchan B. Budiana Budi Sugandi Budiana, Budiana Diono, Diono Eka Mutia Lubis Eko Rudiawan Jamzuri Fandy Bestario Harlan Fitriyanti Nakul Futra, Asrizal Deri Hanifah Riafinola Hasnira Hasnira Hena Dian Ayu Hendawan Soebhakti Heru Wijanarko Hutasoit, Fania Putri Ilham Kurnia Imam Sholihuddin Imam Sholihuddin Iman Fahruzi Indra Daulay Ira Zamzami Irwanto Zarma Putra Ismail, Aziz Jeremiah Pardomuan Hutabarat Juliansyah Yangu Kamarudin Kamarudin Lalu Kaisar Wisnu Kita Lalu Kaisar Wisnu Kita Lindawani Siregar M Rahman Manurung, Cyntya Tri Hartati Marpaung, Roy Hitmen Maulana, Rifky Daniel Maulidah, Hana Mutialif Mishthafiyatillah, Mishthafiyatillah MUHAMMAD ARIFIN Muhammad Arifin Muhammad Nazri Muhammad Rizki Romadhan Mulyadi, Indra Hardian Nadhrah Wivanius, Nadhrah Nanta Fakih Prebianto Putri, Sarah Athaullah Wenna Qoriatul Fitriyah Rabiah Al Adawiyah Anwar Raehanayati Raehanayati Ramadhan, Rahmat Ersya Ridwan Ridwan Rifqi Amalya Fatekha Rindang Alamsyah Ririn Humaera Risandriya, Sumantri Kurniawan Riska Analia Rogen Samuel Hasibuan Ryan Satria Wijaya S. Susanto Salman Alfarizi Sandy Vikki Ariyanto Senanjung Prayoga Silitonga, Ricky Siregar, Lindawani Sukir Sukir Susanto Susanto Susanto Susanto Vivin Oktowinandi Wendy Kriswanto Simangunsong Widya Rika Puspita Widya Rika Puspita Yusiran