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All Journal ALINIER: Journal of Artificial Intelligence & Applications Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Innovative: Journal Of Social Science Research
Swarga, Lutfi Agung
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Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Other

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Pengembangan Sistem Deteksi Kualitas Minyak Goreng Sawit Berbasis Fuzzy Logic Ariyanto, Adhitiya Dwijaya; Hariadi, Balok; Swarga, Lutfi Agung; Santoso, Santoso; Hartayu, Ratna
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7475

Abstract

ABSTRACT Palm cooking oil is a widely used staple, but its quality deteriorates with repeated use, posing health risks. Traditional methods for assessing oil quality remain subjective, necessitating a more objective detection system. This study develops a fuzzy logic-based palm cooking oil quality detection system using a color sensor (TCS3200), clarity sensor (SEN0189), and odor sensor (TGS2600) controlled by Arduino UNO. The system classifies oil into three categories: Safe to Use, Moderately Safe, and Not Safe. Testing results indicate a classification accuracy of 90%, with a confidence level of 95% for safe oil and 88% for unsafe oil. This system provides a practical, objective, and efficient solution for evaluating cooking oil quality, making it applicable for improving food safety in both households and industries.  Keywords: Fuzzy logic, palm cooking oil, color sensor, clarity, odor, Arduino.
Rancang Bangun Pemilah Sampah Organic, Anorganik dan Metal Secara Otomatis Berbasis IoT R, Marcellinus Dias; Santoso, Santoso; Hartayu, Ratna; Swarga, Lutfi Agung
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2025: SNESTIK V
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2025.7560

Abstract

The automatic waste sorting system based on Internet of Things (IoT) technology is designed to address the waste management issues in Indonesia. This system utilizes various sensors, such as capacitive sensors, inductive sensors, infrared sensors, and ultrasonic sensors, to detect and automatically separate organic, inorganic, and metal waste. The system also uses servo motors to open and close trash bins according to the detected waste type, along with an Arduino Mega 2560 with a Wi-Fi module to control and send notifications via the Telegram application. The testing results show that the system can sort waste with 95% accuracy, with organic waste usable as compost and inorganic and metal waste recyclable. It is expected that this system will improve waste management efficiency, creating a cleaner and more sustainable environment..
Implementasi Filter Complementary untuk Perbaikan Estimasi Sudut pada Robot Roda Dua san, Santoso; Hartayu, Ratna; Ridho'i, Ahmad; Setyadjit, Kukuh; Swarga, Lutfi Agung
ALINIER: Journal of Artificial Intelligence & Applications Vol. 6 No. 1 (2025): ALINIER Journal of Artificial Intelligence & Applications
Publisher : Program Studi Teknik Elektro S1 ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/alinier.v6i1.14468

Abstract

Penelitian ini bertujuan merancang sistem robot roda dua berbasis Arduino Uno dengan menggunakan sensor gyroscope MPU6050 untuk mengukur sudut kemiringan, menjaga keseimbangan menggunakan kontrol PID sederhana. Data sensor diproses menggunakan filter complementary untuk menggabungkan data gyroscope dan accelerometer. Nilai konstanta PID terbaik diperoleh pada Kp=35, Ki=0.8, Kd=25. Hasil pengujian menunjukkan robot mampu mempertahankan keseimbangan dengan error rata-rata ±2° dari sudut vertikal. Penggunaan filter complementary efektif mengurangi noise dan drift sensor. Penelitian ini membuktikan bahwa kombinasi Arduino, MPU6050, filter complementary, dan kendali PID sederhana mampu menghasilkan sistem keseimbangan robot dua roda yang stabil dan responsif. This study aims to design a two-wheeled robot system based on Arduino Uno using the MPU6050 gyroscope sensor to measure the tilt angle, maintain balance using simple PID control. Sensor data is processed using a complementary filter to combine gyroscope and accelerometer data. The best PID constant value is obtained at Kp = 35, Ki = 0.8, Kd = 25. The test results show that the robot is able to maintain balance with an average error of ± 2 ° from the vertical angle. The use of complementary filters effectively reduces noise and sensor drift. This study proves that the combination of Arduino, MPU6050, complementary filters, and simple PID control can produce a stable and responsive two-wheeled robot balance system
Penerapan Fuzzy Logic untuk Mendeteksi Kerusakan Suction Blower Motor Nur Alfian, Muhammad; Santoso, Santoso; Swarga, Lutfi Agung
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.20507

Abstract

Penelitian dilakukan pada salah satu perusahaan yang memproduksi kabel otomotif yang berada di Surabaya. Penelitian ini bertujuan untuk menganalisa dan memprediksi kerusakan pada suction blower motor, yang dimana penggunaan suction blower motor itu sendiri pada proses produksi di perusahaan tersebut untuk mendistribusikan material biji polyvinyl chloride atau yang biasa dikenal sebagai PVC. Material biji PVC tersebut didistribusikan dari bak material menuju ke hopper masing-masing mesin. Berdasarkan pengamatan yang dilakukan maka penelitian ini dilakukan untuk memprediksi kerusakan pada motor tersebut karena betapa vitalnya perawatan motor tersebut. Untuk melakukan prediksi kerusakan pada suction blower motor maka dipilihlah metode fuzzy logic . Jenis kerusakan yang dipilih meliputi, Bearing rusak, suction tersumbat, dan tegangan drop. Sebelum implementasi fuzzy logic diperlukan pengambilan data yang sesuai dengan kondisi-kondisi yang nantinya diklasifikasikan, sehingga dapat membentuk aturan-aturan yang diperlukan.
Co-Authors Ariyanto, Adhitiya Dwijaya Balok Hariadi, Balok Hartayu, Ratna Kukuh Setyadjit, Kukuh Nur Alfian, Muhammad R, Marcellinus Dias Ridho'i, Ahmad san, Santoso SANTOSO SANTOSO