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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Robotics and Automation (IJRA) Jurnal Dedikasi Jurnal Gamma Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Syntax Jurnal Informatika Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Rekayasa Elektro Sriwijaya Jurnal Fortech Journal of Mechatronic and Electrical Engineering Jurnal Pengabdian Masyarakat Tekno Jurnal FORTECH
Nur Kasan, Nur
Universitas Muhammadiyah Malang
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health

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Rancang Bangun Prototype Sistem Pendeteksi Jumlah Kendaraan Bermotor Menggunakan Sensor Ultrasonik Dan Load Cell Berbasis Mikrokontroler Achmad Yanuar Ramadhani; Nur Kasan; Widianto Widianto
Journal of Mechatronic and Electrical Engineering Vol. 1 No. 1 (2021): April
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Parking is a temporary stop that has been provided for types of vehicles. Along with the development of increasingly modern times, the use of private cars as a means of transportation has become commonplace. Private vehicle users who want to park are not well informed about the state of the parking area. Because there is no information about the availability of empty parking spaces. With a system that provides information on the entry and exit of vehicles, it is hoped that it can help and provide solutions to motorists in finding locations that are still empty. For the parking lot provider it makes it easy to take action with an information system regarding the number of entries and exits if the parking lot is full using the Karnaugh-map method. The results of the load cell sensor calibration using the linear regression method were successful, the R value was 1 and Sx was 9%. From the classification of motorbikes and cars, each consists of light, medium and heavy ultrasonic sensor programming successfully calculates and differentiates the number of vehicles between motorbikes and cars by using the selection.
Peningkatan Keselamatan dan Kewaspadaan Penggunaan Jalan Desa RW 07 Kelurahan Merjosari Kecamatan Lowokwaru Imam Khambali; Sofiani, Inda Rusdia; Nur Kasan
Jurnal Pengabdian kepada Masyarakat TEKNO (JAM-TEKNO) Vol 3 No 2 (2022): Desember 2022
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/jamtekno.v3i2.4778

Abstract

Kelurahan Merjosari merupakan bagian dari Kecamatan Lowokwaru, yang terletak di Kota Malang bagian barat. Kelurahan ini terdiri atas 12 Rukun Warga yang berkembang menjadi 72 Rukun Tetangga. Berdasarkan data sampai pada tahun 2022 sudah beberapa kaca cembung yang terpasang dan tersebar dibeberapa sudut jalan. Kaca cembung sendiri memiliki fungsi yang cukup vital bagi pengguna jalan untuk meningkatkan kewaspadaan. Selain untuk keselamatan pengguna jalan dan juga bisa membantu mengurangi kemungkinan terjadinya tindak kriminal. Warga RW 07 sudah menyampaikan ada 2 titik tikungan yang membutuhkan pemasangan kaca cembung. Mereka berharap dengan semakin bertambahnya rambu lalu lintas dalam hal ini kaca cembung, maka kemungkinan terjadinya kecelakaan dapat semakin menurun. Kondisi saat ini ada tikungan dan sering tidak terbaca pengguna jalan di tikungan lawan. Hal ini disebabkan karena, pengguna jalan tidak mampu mendeteksi kondisi diseberang yang tertutupi oleh tembok warga. Ada juga lokasi dimana tidak terdapat bangunan, tetapi tertutupi oleh tanaman yang tinggi atau rimbun seperti kebun jeruk warga. Rangkaian kegiatan pengabdian ini dapat disimpulkan terdiri atas kegiatan pemasangan rambu kaca cembung yang telah disepakati masyarakat. Masing - masing kegiatan dilakukan dengan metode yang disesuaikan dengan cakupan bidang kegiatan, dan target serta proses evaluasi yang beragam. Masing - masing kegiatan pemasangan rambu kaca cembung dilakukan dalam 2 tahap. Pada tahap pertama dipasang 1 lampu cembung dengan memberikan penerangan disekitarnya. Pada tahap kedua, akan dilakukan pemasangan 1 kaca cembung di lokasi berbeda sesuai dengan kecepakatan. Dari kuesioner dapat diambil kesimpulan bahwa 5 orang menyatakan kepuasannya terhadap pemasangan kaca cembung dan dua orang yang menyatakan sedang.
Desain External Rotor IPM-V Motor Brushless DC Terhadap Torsi Cogging Fauzan Rhabbani, Muhammad; Azizul Hakim, Ermanu; Kasan, Nur
Jurnal FORTECH Vol. 2 No. 1 (2021): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/fortech.v2i1.235

Abstract

Internal Permanent Magnet brushless DC motor is one of the various types of electric motors using permanent magnets that are inserted into the rotor's core without having to stick it like a permanent magnet motor mounted on the surface.This motor has better torque characteristics, high efficiency, and sturdy construction. But the consequences in the use of permanent magnets can’t be separated from the interaction between the permanent magnetic field mounted by the rotor with stator teeth. So that development is needed to obtain the results of better cogging torque and efficiency, such as variations in the external rotor IPM-V angular range of 80 °, 90 ° and 100 ° in 18 slots and 16 pole models which are simulated using the Infolytica Magnet application based on Finite Element Method (FEM), the data is processed using Microsoft Excel, so that the output will be a parameter in the Simulink MATLAB 2016a modeling to get the characteristics of the design motor. Variation testing on the motor is done at a speed of 2100 rpm. The results of the test show that the minimum cogging torque value in the angle model of the 90 ° magnetic range is 1.64 Nm with the highest efficiency of 80.6%. Smaller cogging torque values will reduce vibration or noise when the motor is spinning. The high value of efficiency indicates the losses that cause heating on the motor are smaller, so that the motor operating period becomes longer.
Localization and mapping of autonomous wheel mobile robot using Google cartographer Hidayati, Qory; Setyawan, Novendra; Faruq, Amrul; Irfan, Muhammad; Kasan, Nur; Yakub, Fitri
IAES International Journal of Robotics and Automation (IJRA) Vol 14, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v14i3.pp322-331

Abstract

COVID-19 has become a world concern because of the spread and number of cases that have befallen the world. Medical workers are the first exposed group because they have direct contact with patients. So, a vehicle is needed to replace tasks such as logistics, delivery, and patient waste transportation. An autonomous wheeled mobile robot (AWMR) is a wheeled robot capable of moving freely from one place to another. AWMR is required to have good navigation and trajectory control skills. The purpose of this study is to develop an AWMR navigation system model based on the simultaneous localization and mapping (SLAM) algorithm, accurately in a dynamic environment. With this research, developing a good navigation and trajectory method for AWMR, in the future, it can be applied to produce an AWMR platform for multipurpose. This research was conducted in two stages of development. The first year is the research that is currently being carried out, focused on sensor modeling, designing SLAM-based navigation models, and making navigation system testbeds. This research produces a trajectory navigation and control system that can be implemented on an AWMR platform for the purposes of logistics, transportation, and patient waste in hospitals.
Prediksi Iradiasi Matahari Menggunakan Machine Learning untuk Estimasi Output PLTS di Wilayah Malang Humaidi, Haneef Nouval Alannibras; Handayani, Sita Tri; Kasan, Nur; Hakim, Ermanu Azizul; Al Rasyid , Zya Jamaluddin; Ningtias, Dieta Wahyu Asry
Jurnal Rekayasa Elektro Sriwijaya Vol. 7 No. 2 (2026): Jurnal Rekayasa Elektro Sriwijaya
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/hsar2478

Abstract

Accurate solar irradiance prediction is fundamental for planning and operating solar photovoltaic (PV) power systems. This study compares the performance of four machine learning algorithms — Random Forest (RF), Support Vector Regression (SVR), XGBoost, and Artificial Neural Network (ANN) — in predicting daily Global Horizontal Irradiance (GHI) in Malang, East Java. The dataset was obtained from NASA POWER spanning 10 years (2014–2023), comprising 3,646 daily records with 11 input features including meteorological parameters, temporal features, and autoregressive features. Data splitting was performed chronologically (70% training, 15% validation, 15% testing). Results show that XGBoost achieved the best performance with R² = 0.6797, RMSE = 0.5212 kWh/m²/day, and MAPE = 8.35%. Seasonal analysis reveals all models perform better during the dry season (R² = 0.74; MAPE = 6.63%) compared to the wet season (R² = 0.54; MAPE = 11.06%). A 5 kWp PV system in Malang is estimated to produce 7,626 kWh/year.
Co-Authors Achmad Yanuar Ramadhani Adhi Nugraha Al Rasyid , Zya Jamaluddin Alvian Widianto Amrul Faruq Aulia Rizqi Ayul Fariqoini Chanif Diding Suhardi Dr.Ir. Ermanu A.H.,MT, Dr.Ir. Ermanu Dwi Tristiningdiyah Enjelina Angela Fransiska Fanumbi Ermanu A. Hakim Ermanu Azizul Hakim Fauzan Rhabbani, Muhammad Fauzan, Fauzan Fitri Yakub Hakim, Ermanu A. Handayani, Sita Tri Hendra Kusuma Humaidi, Haneef Nouval Alannibras Ilham Pakaya Inda Rusdia Sofiani Ir. Andy Saiful, MT, Ir. Andy Izzan Silmi Aziz Khambali, Khambali Lailis Syafa’ah M. Irfan M. Irfan Machmud Effendy Mauridhi Hery Purnomo Merinda Lestandy Muhammad Irfan Muhammad Irfan Ningtias, Dieta Wahyu Asry Novendra Setyawan Nurhadi, Nurhadi Qory Hidayati Rahma Fitri A.ST, Rahma Fitri Rohmat Suprapto Sukasmi Sultan Maula Chamzah Syafa’ah, Lailis