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Rancang Bangun Alat Pengering Kaos Kaki Endah Fitriani; Try Wahyuni
Jurnal Elektronika dan Otomasi Industri Vol. 12 No. 3 (2025): Jurnal Elkolind Vol 12 No 3 (September 2025)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v12i3.8826

Abstract

Kaos kaki merupakan bagian penting dari pakaian sehari-hari, khususnya bagi anak-anak sekolah yang menggunakannya secara rutin. Namun, proses pengeringan kaos kaki sering menjadi kendala, terutama saat musim hujan yang minim sinar matahari. Penelitian ini bertujuan merancang dan membangun alat pengering kaos kaki yang dapat bekerja secara efektif dalam segala kondisi cuaca. Alat ini menggunakan beberapa komponen elektronik, seperti sensor kelembapan, sensor suhu LM35, sensor arus ACS712, relay, heater, dan lampu ultraviolet (UV), yang dikendalikan oleh mikrokontroler Arduino Uno. Dengan sistem monitoring suhu dan kelembapan secara real-time, alat ini mampu mengeringkan hingga tiga pasang kaos kaki dalam kondisi lembap tanpa merusak bahan. Lampu UV turut ditambahkan untuk meningkatkan higienitas kaos kaki melalui proses sterilisasi. Hasil pengujian menunjukkan bahwa alat ini dapat mengeringkan kaos kaki secara efisien dan aman, serta mengurangi ketergantungan terhadap kondisi cuaca. Rancang bangun alat ini diharapkan dapat menjadi solusi praktis bagi rumah tangga, khususnya dalam menjaga kebersihan dan kesehatan kaki anak
RANCANG BANGUN ALAT PENGHITUNG BIBIT IKAN LELE BERBASIS MIKROKONTROLER Engla Desita; Endah Fitriani
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025): (In Press)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2702

Abstract

Catfish farming in Indonesia has significant potential; however, conventional methods of counting fish fry still face various challenges, such as the considerable time required and a high risk of errors. This study aims to design and build an automatic counting device for catfish fry based on the Arduino Mega 2560 microcontroller, integrated with an E18-D80NK infrared proximity sensor and a DS18B20 temperature sensor. The device is specifically designed to count catfish fry measuring between 6 to 8 cm, where the infrared proximity sensor is used to count the number of fish fry passing through, while the DS18B20 sensor functions to detect the water temperature in the holding tank. The operational process of the device includes inputting the number of fry via a 4x4 keypad, opening the counting path using a servo motor, measuring the water temperature, displaying data on a 16x2 LCD, and closing the path after the counting process is completed. The test results indicate that the DS18B20 sensor has an accuracy of 97.68% with an average error of 2.32%, while the infrared proximity sensor achieves an accuracy of 89.08% with an average error of 10.92%. This device successfully counts the number of catfish fry automatically, monitors the water temperature, and displays information in real-time on the LCD. Therefore, the catfish fry counting device based on the Arduino Mega 2560 is expected to enhance time and labor efficiency, as well as minimize errors in the counting and distribution processes of catfish fry.
APLIKASI METODE CONSTANT CURRENT PADA SISTEM PENGISIAN BATERAI LEAD – ACID BERBASIS FAST CHARGING Metasari, Ella; Endah Fitriani
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 2 (2025): (In Press)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2717

Abstract

Air pollution caused by fossil fuel-powered vehicles has a significant impact on public health and the environment, encouraging the transition to electric vehicles in accordance with Presidential Regulation No. 55 of 2019. Electric vehicles use batteries as their main energy source, making a safe charging system essential to prevent overcharging. This study designs a lead-acid battery fast charging system based on the Constant Current (CC) method with a constant current of 2.7 A, equipped with an automatic cut-off. Testing was conducted through field observation, interviews, and literature review. Results show that the charging time is only ±3 hours 13 minutes, significantly faster than the conventional method (10 hours), with component measurements within tolerance limits. The PZEM-017 and voltage divider sensors accurately read voltage according to the datasheet. This system proves to be efficient, safe, and capable of preventing battery damage due to overcharging.
Sistem Absensi Siswa di SMK Negeri 1 Indralaya Utara Menggunakan Fingerprint dan Rekam Kamera yang Terintegrasi Telegram Berbasis Arduino Hartini Hartini; Endah Fitriani; Nina Paramytha; Tamsir Ariyadi
JURAL RISET RUMPUN ILMU TEKNIK Vol. 5 No. 1 (2026): April: Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v5i1.7495

Abstract

The distinctive markings on the fingers are known as biometrics. The fingerprint attendance method uses biometrics. Without developing a usable fingerprint tool, research on fingerprint attendance is restricted to processing attendance data. As a result, an Arduino-based fingerprint approach was used to construct an attendance tool. The education sector is where SMK Negeri 1 Indralaya Utara. The school's student attendance system is still operated manually. In this study, the system uses fingerprints and camera recording to track students' locations. Using an Arduino Mega as a microcontroller, this tool will display student attendance information on an LCD, save it on an SD card module, and send the ESP32CAM-generated photographs over Telegram. The literature review is the first step in the research process, followed by hardware and software design. Following completion, the tool is put through testing to evaluate its functionality. Each of the ten participants scanned their thumb and index finger. The thumb and index finger have an average of five tests, with a 0.28% mistake rate, depending on the number of trials. Each component's error percentage is less than 1% while still falling within the 5% tolerance limit. The image test results indicate two conditions: 20 cm and greater. The ESP32CAM will activate when we take a picture at a distance of 20 cm.