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Journal : journal of applied electrical engineering

Penerapan Computer Vision untuk Deteksi Warna dan Ukuran Buah secara Real-Time pada Alat Penyortir Buah Aryeni, Illa; Maulidiah, Hana Mutialif; Toar, Handri; Wicaksono, Muhammad Jaka Wimbang; Gunawan, Indra
Journal of Applied Electrical Engineering Vol 7 No 2 (2023): JAEE, December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v7i2.6740

Abstract

Computer vision aims to build a computer that can see like humans. Humans can immediately recognize and define an object after seeing and recording an object. This is different from computer visual systems, where camera recordings cannot be directly translated, defined, and recognized by computers, therefore digital image processing is needed first. In this study, computer vision technology was used to detect fruit based on color, size, and shape in real time. The fruit is placed on a conveyor belt, then the fruit object is captured by a webcam using object tracking. Computer vision algorithms and programs can detect fruit objects and recognize ripe and unripe fruits by converting RGB (Red, Green, Blue) colors into HSV (Hue, Saturation, Value) for the color segmentation process. After the detection process, a selector is placed at the end of the conveyor which is used to sort the fruit into 2 categories, namely ripe and unripe. In addition, this study also determines the size and shape of the fruit. From design, realization, and testing, it was found that the success rate of detecting ripe fruit was 97.33% and unripe fruit was 93.33%. To get maximum results, it needs to be supported by room lighting settings that are kept constant.
Sistem Telemetri Akusisi Data Injeksi Plastik Menggunakan Xbee Pro S2C Irwanto Zarma Putra; Yopie Manurung; Illa Aryeni; Vivin Octowinandi; Erita Astrid; Citra Dewi; Ricky Maulana
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.v7i1.5312

Abstract

Plastic injection machine is a plastic product making machine with an injection molding process. Plastic injection machines at PT Shimano Batam currently cannot be monitored automatically. Therefore, a system is needed that monitors and stores all data about the performance of the plastic injection machine automatically. In this system Arduino Uno is used as a microcontroller of the plastic injection machine signal and the Xbee Pro S2C module is used as a sender and receiver of data packets from the plastic injection machine, the data is processed and then displayed on a PC and stored on the server. The test results of this system show that the machine status data matches the data displayed on the PC. From the results of testing the engine cycle time as much as 11 times, there is the largest difference in processing time, which is 1.20 seconds. From the results of reliability testing, packet loss was obtained by 0.006%. Xbee Pro S2C communication testing with a distance of 1 meter to 60 meters was successful without any data packets lost, when testing Xbee Pro S2C communication with a distance of 85 meters to 110 meters there were 30 data packets lost.
Pengendalian Suhu Terhadap Proses Penetasan Telur Ayam Dengan Kendali Logika Fuzzy Menggunakan IoT Sebagai Monitoring Syahroni, Muhammad; Setyawan, Angga; Risandriya, Sumantri K; Lubis, Eka Mutia; Aryeni, Illa
Journal of Applied Electrical Engineering Vol. 8 No. 1 (2024): JAEE, June 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i1.6071

Abstract

Penetasan adalah proses perkembangan embrio pada telur, dimana tujuannya ialah menghasilkan individu baru. Secara mekanisme penetasan secara buatan dinilai lebih baik karena dapat dilakukan secara terus-menerus tanpa terpengaruh kondisi cuaca, karena ditempatkan pada ruangan dan memiliki komponen pengontrol di dalamnya. Penelitian ini menggunakan kendali otomatis berupa fuzzy dan sistem iot sebagai monitoring. Sensor yang digunakan adalah DS18B20 sebagai sensor untuk mendeteksi suhu yang kemudian diolah fuzzy dengan menetapkan nilai suhu ideal 38°C dengan memanfaatkan pwm kecerahan lampu sebagai outputnya. Penelitian yang dilakukan, sistem fuzzy memiliki keberhasilan 100% dengan pembanding diantaranya yaitu perhitungan manual, menggunakan labview dan menggunakan arduino IDE. Sedangkan untuk IoT kecepatan mengirim data antara LCD dan website adalah 5.25 seconds. Hal ini dipengaruhi dari koneksi internet yang digunakan.
Sistem Monitoring Tambak Ikan berbasis Internet of Things menggunakan ESP32 Al attas, Said Usman Sulaiman; Wicaksono, Muhammad Jaka Wimbang; Futra, Asrizal Deri; Diono, Diono; Aryeni, Illa; Sani, Abdullah
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.v8i2.8742

Abstract

Upredictable natural conditions cause fish larvae to die because they cannot adapt to these conditions, leading to potential harvest failure. Changes in natural conditions due to weather result in unstable pH levels in pond water. Fish Farmers traditionally attempt to improve water pH quality using by manual pH meters, but This method has limitations if not monitored periodically. Based on this problems, researchers plan to develop a water acidity measurement tool using an IoT-based E4502C pH sensor to help fish farmers monitor pond pH levels through their smartphones. Testing the pH sensor showed an average error rate of 4.09% at pH 4, 2.47% at pH 7, and 6.31% at pH 9. More accurate results can be achieved by collecting more data and processing it to determine the average values before displaying them on the user interface.
Analisis Konsumsi Energi Listrik pada Mesin Pengering Cabai dengan Variasi Suhu Nasution, Muammar Khadapi Arif; Aryeni, Illa; Toar, Handri; Muhammad Jaka Wimbang Wicaksono; Sumantri K Risandriya; Wasdoni Alfi; Widya Rika Puspita
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.v9i1.9312

Abstract

Penelitian ini bertujuan untuk menganalisis konsumsi dan efisiensi energi Listrik pada mesin pengering cabai dengan variasi suhu dalam durasi waktu 8, 10, 12, 14 dan 16 jam. Hasil pengujian mengindikasikan bahwa adanya peningkatan suhu dan durasi pengeringan sebanding dengan konsumsi energi. Pada suhu 50°C, energi yang digunakan meningkat dari 2,88 kWh dalam durasi 8 jam menjadi 5,77 kWh dalam durasi 16 jam, sedangkan pada suhu 70°C, konsumsi energi mencapai 7,77 kWh dalam durasi 12 jam. Efisiensi energi tertinggi sebesar 8,06% diperoleh pada suhu 50°C selama 16 jam. Laju pengeringan juga meningkat seiring suhu dan waktu dengan nilai tertinggi 1,06 gram/menit pada suhu 70°C selama 12 jam. Namun, kombinasi suhu dan durasi tinggi dapat menyebabkan tekstur cabai menjadi terlalu kering atau keras, serta meningkatkan biaya energi hingga Rp11.655. Oleh karena itu, pemilihan suhu dan waktu pengeringan harus diatur secara tepat untuk mencapai efisiensi, kualitas, dan kecepatan pengeringan yang optimal.
Implementasi Algoritma PID untuk Pengontrolan Suhu Pada Mesin Pengering Cabai Toar, Handri; Wasdoni Alfi; Illa Aryeni; Nanta Fakih Prebianto; Hana Mutialif Maulidiah; Muammar Khadapi Arif Nasution; Micko Tomas
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.v9i1.9314

Abstract

Penelitian ini mengimplementasikan kontrol PID pada mesin pengering cabai untuk mempertahankan stabilitas suhu selama proses pengeringan. Pengaturan suhu optimal dicapai melalui mekanisme tuning PID dengan metode Ziegler–Nichols untuk mengatur parameter Kp, Ki, dan Kd yang dapat menghasilkan respon sistem yang stabil pada suhu setpoint. Mesin pengering terdiri dari sensor DHT22, pemanas, dan mikrokontroler ESP32, serta terintegrasi dengan aplikasi Home Assistant untuk pemantauan dan pengontrolan jarak jauh. Hasil pengujian menunjukkan bahwa pada suhu 60°C menghasilkan keseimbangan optimal antara kecepatan pengeringan dan kestabilan kelembaban. Implementasi kontrol PID berhasil menjaga suhu mendekati setpoint dengan steady-state error sebesar 0,98%, overshoot yang minimal dan settling time yang optimal. Proses pengeringan menghasilkan penurunan kadar air yang signifikan, dengan berat awal 1 kg menjadi 261 gr setelah pengeringan. Tuning PID menunjukkan efektivitas dalam meningkatkan kestabilan suhu dan kualitas akhir produk cabai kering, serta menjadi solusi dalam mengatasi kendala pengeringan cabai secara konvensional.
Smart Water Control Berbasis Arduino dengan Integrasi Motor Stepper dan Sensor Ultrasonik Tomas , Micko; Illa Aryeni; Aggrivina Dwiharzandis; Zaini, Zaini
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.v9i1.9554

Abstract

Pemborosan air akibat kelalaian mematikan keran sering terjadi di rumah tangga, asrama, dan fasilitas umum. Air yang meluap tidak hanya boros tetapi juga dapat merusak properti. Beberapa penelitian sebelumnya menggunakan sensor level air atau solenoid valve, namun masih memiliki keterbatasan presisi dan fleksibilitas, terutama untuk keran air konvensional. Penelitian ini mengusulkan Smart Water Control berbasis Arduino dengan motor stepper dan sensor ultrasonik untuk solusi lebih presisi dan adaptif. Sistem ini mengintegrasikan motor stepper EM-93 03611 STH-39D172, Arduino UNO, dan sensor Ultrasonik SRF04 untuk memantau ketinggian air. Arduino mengendalikan motor stepper guna memutar keran 90° sebanyak 50 langkah per-siklus secara otomatis dengan buka-tutup berdasarkan data sensor. Kebaruan dari sistem ini terletak pada penggunaan motor stepper untuk keran mekanis konvensional yang memungkinkan kontrol presisi tanpa modifikasi plumbing.
Implementasi Sistem Pemantauan Energi Listrik dan Perbaikan Faktor Daya Berbasis Android dengan MIT App Inventor dan Firebase Andre Rabiula; Dasrinal Tessal; Aldy Pratama; Togi Siholmarito Simarmata; Elsa Lolita Anggraini; Illa Aryeni
Journal of Applied Electrical Engineering Vol. 9 No. 2 (2025): JAEE, December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i2.11615

Abstract

As inductive loads like washing machines and water pumps become more common, they utilize more reactive energy and lower the power factor. If the power factor is less than 0,85 PLN, electrical protection devices like MCBs and ELCBs could stop working. To utilize less power, things need to change. Adding a capacitor bank to add reactive power can make the power factor value better. Using the MIT App Inventor and Firebase platforms, this study built an app that lets you keep track of and improve your power factor. The app had an average data latency of 11,20 seconds. After 11 load changes, the average power factor went up from 0,64 (before improvement) to 0,88 (after). So, this method for optimizing power factor helps to get a low power factor up to the right level.
Formalin Detection System in Fish with HCHO Sensor and pH Sensor Using Fuzzy Logic Method Rainhart Sitohang; Illa Aryeni; Hana Mutialif Maulidiah; Ririn Humaera; Handri Toar; Jum Malindo Siregar
Journal of Applied Electrical Engineering Vol. 10 No. 1 (2026): JAEE, June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v10i1.11618

Abstract

This study aims to design a system for detecting formalin and pH levels in fish using the Mamdani Fuzzy Logic method. The system consists of an HCHO sensor and a pH sensor as the system input, and an Arduino Mega 2560 microcontroller as a data processor. The data is processed in real-time and classified into three categories. Testing was carried out on snapper samples with a duration of 1–60 minutes and 10 repeats of the experiment. The results of the study showed that the accuracy rate of the system was 91%. The system can identify formalin levels and classify them into safe (0 ppm formalin, pH 6,5), alert (12,42 ppm, pH 6,64), and danger (19,29 ppm, pH 5,42). The implementation of this system can facilitate the direct detection of formalin in fish and can help increase public awareness of the dangers of formalin.
Design and Performance Evaluation of an IoT-Enabled Feed Level Alert System for Smart Fish Feeders Micko Tomas; Baharuddin Baharuddin; Illa Aryeni; Elsi Alfionita Syawal; Muhammad Kodrat
Journal of Applied Electrical Engineering Vol. 10 No. 1 (2026): JAEE, June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v10i1.11692

Abstract

The Feed Level Alert system on the Smart Fish Feeder was designed to monitor fish feed availability in real-time using an Internet of Things approach. Unlike previous research that focused solely on passive monitoring, this system presents a practical implementation equipped with automatic notifications when the fish feed level status reaches a set threshold. The HC-SR04 ultrasonic sensor is used to measure the distance between the tank lid and the feed surface, while the DHT-11 sensor monitors temperature and humidity to maintain feed quality. The ESP32 microcontroller is responsible for processing data and sending alert notifications via Telegram Bot with an average response time of 1,8 seconds. Test calibration results show a detection accuracy of 96,4% and a system reliability of 99,3%. The portable prototype design allows installation without significant mechanical modifications. With its integrative capabilities, this system shows high potential as an efficient, adaptive, and sustainable innovative aquaculture.