cover
Contact Name
FAQIH
Contact Email
faqih@widyagama.ac.id
Phone
+62341492282
Journal Mail Official
jasee@widyagama.ac.id
Editorial Address
Teknik Elektro Fakultas Teknik Universitas Widyagama Malang Jl. Taman Borobudur Indah 03 Malang Jatim Indonesia
Location
Kab. malang,
Jawa timur
INDONESIA
JASEE Journal of Application and Science on Electrical Engineering
ISSN : 27213625     EISSN : 2721320X     DOI : https://doi.org/10.31328/jasee.v1i02
Core Subject : Engineering,
Teknik Elektro Fakultas Teknik Universitas Widyagama Malang mempublikasikan JASEE Journal of Application and Science on Electrical Engineering sebagai jurnal open access yang memuat tulisan ilmiah hasil review, penelitian, aplikasi dan pengembangan di bidang Teknik Elektro. Focus and Scope : Sistem pembangkit, transmisi, distribusi dan proteksi tenaga listrik, Transformator, elektronika dan kualitas daya listrik, motor-motor listrik, Sistem kendali, pengukuran dan instrumentasi elektronik, mikrokontroler, sistem tertanam berbasis arduino dan FPGA, instrumentasi medik, Pengolahan sinyal multimedia, jaringan telekomunikasi dan sensor, jaringan komputer, elektronika komunikasi, disain antena komunikasi, radio kognitif, Robotika dan aplikasi kecerdasan buatan.
Articles 63 Documents
SISTEM PEMANTAU SUHU DAN KELEMBABAN PADA GUDANG TEMBAKAU PR TUNAS MANDIRI BERBASIS INTERNET OF THINGS (IoT) Yuana Cahyaning, Yulis; Hunaini , Fachrudin
JASEE Journal of Application and Science on Electrical Engineering Vol. 6 No. 1 (2025): JASEE-March
Publisher : Program Studi Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v6i1.04

Abstract

The tobacco processing industry has a large economic impact. In the process of storing tobacco, it is necessary to pay attention to the temperature and humidity conditions of the room. The process of monitoring the storage room will be difficult if the manager is outside the industrial environment. Therefore, an Internet of Things-based room temperature and humidity monitoring system was created using Wemos D1 as a controller, the Blynk Application interface and real-time Telegram notifications. The Blynk application can monitor all the latest information and set the temperature and humidity set points of the device. The Telegram bot can provide notification information if the temperature and humidity set points are not appropriate. The manager can immediately take effective action based on information from the emergency warning system.
SISTEM MONITORING DAN CONTROLLING MOTOR HOIST CRANE BERBASIS IOT Muhammad Bayu Aji Tetuko
JASEE Journal of Application and Science on Electrical Engineering Vol. 6 No. 1 (2025): JASEE-March
Publisher : Program Studi Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v6i1.05

Abstract

Companies engaged in the steel industry utilize machines and lifting equipment to support productivity. Hoist cranes are lifting machines widely used in companies, ports, factories, warehouses, and the steel industry. They are mechanical devices used to move objects from one place to another. However, one common problem with hoist cranes is the occurrence of overcurrent in the motor, which triggers the circuit breaker to trip. In such cases, the operator must climb onto the chassis or body of the hoist crane to reset the system manually. To address this issue, an IoT-based hoist crane monitoring and control system was developed using a power sensor module to measure real power (Watts), voltage (Volts), current (Amperes), and power factor (pf) in real time via an internet connection. The collected data is then processed by a microcontroller. The main components used in this system include the ESP32 microcontroller, PZEM-004T current sensor, and relay. The results of this study demonstrate that the IoT-based hoist crane motor monitoring and control system functions properly and meets the research objectives. Keywords: Hoist Crane, ESP32 Microcontroller, PZEM-004T Sensor, IoT.
Sistem Identifikasi Korban Pada Robot KRSRI ITN Malang Dengan Teknik Pengolahan Citra Rahman, Fazzy Nur Fitratul; Ibrahim Ashari, M.
JASEE Journal of Application and Science on Electrical Engineering Vol. 6 No. 1 (2025): JASEE-March
Publisher : Program Studi Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v6i1.06

Abstract

The Indonesian Robot Contest (KRI) is an annual event organized by the Ministry of Research, Technology, and Higher Education. One of its divisions, the Indonesian Search and Rescue Robot Contest (KRSRI), focuses on designing robots for disaster victim identification. This research aims to develop a victim identification system for the KRSRI robot of ITN Malang using image processing techniques and the K-Nearest Neighbors (KNN) algorithm, designed to distinguish between actual victim dolls and dummy dolls based on color and shape characteristics. The research utilizes a Raspberry Pi 3 Model B+ and a Raspi Cam V2 camera to capture images, which are processed using image segmentation techniques to detect the orange-colored victim doll, while the KNN algorithm is applied for object classification. Experimental results show that the accuracy of victim detection varies depending on the K parameter in the KNN algorithm and the distance between the camera and the object. At a distance of 10 cm, 15 cm, and 20 cm, the highest accuracy achieved is 100% with certain K values, whereas at 25 cm, the accuracy drops significantly, reaching only 43.75% to 31.25%.