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Rancang Bangun AirMouse Menggunakan Sarung Tangan Bersensor Berbasis ESP32 Sholahuddin Muhammad Irsyad; Achmad Basuki; Bima Sena Bayu Dewantara
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Digital interactions are still commonly using indirect media such as mouse and keyboard to provide user input in the form of two-dimensional data. Therefore, to provide intuition in virtual interactions, it is possible to add media that can draw directly in the air or a flat surface that will track hand movements and overall finger position. In this research, we try to track hand movements in real time by capturing the position of the hand and finger curvature using a wearable sensor equipped with an Inertial Measurement Unit (IMU) sensor and a flex sensor installed by the user. Then the system will identify the position of the user's finger bending. and the location indicated by the sensors installed to move the cursor on the screen and simulate left-click and right-click hand movements as with a traditional mouse. By using this system, users can interact with the computer more naturally and get the accuracy of cursor movement with the accuracy of finger movement translation reaching more than 85% and the translation of hand movements to mouse cursor movements is on average 73% for shapes that use straight lines. and 23.4% on curved lines such as circles and other shapes.

Rancang Bangun AirMouse Menggunakan Sarung Tangan Bersensor Berbasis ESP32 Sholahuddin Muhammad Irsyad; Achmad Basuki; Bima Sena Bayu Dewantara
Jurnal Rekayasa Elektrika Vol 18, No 3 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i3.25816

Digital interactions are still commonly using indirect media such as mouse and keyboard to provide user input in the form of two-dimensional data. Therefore, to provide intuition in virtual interactions, it is possible to add media that can draw directly in the air or a flat surface that will track hand movements and overall finger position. In this research, we try to track hand movements in real time by capturing the position of the hand and finger curvature using a wearable sensor equipped with an Inertial Measurement Unit (IMU) sensor and a flex sensor installed by the user. Then the system will identify the position of the user's finger bending. and the location indicated by the sensors installed to move the cursor on the screen and simulate left-click and right-click hand movements as with a traditional mouse. By using this system, users can interact with the computer more naturally and get the accuracy of cursor movement with the accuracy of finger movement translation reaching more than 85% and the translation of hand movements to mouse cursor movements is on average 73% for shapes that use straight lines. and 23.4% on curved lines such as circles and other shapes.

Implementation of integrated temperature, humidity, and dust monitoring system on building electrical panel Khumaidi, Agus; Hasin, Muhammad Khoirul; Pujiputra, Anggarjuna Puncak; Irsyad, Sholahuddin Muhammad; Rinanto, Noorman; Rachman, Isa; Budi, Perdinan Setia; Malik, Alfianto Taufiqul; Bayu, Nurissabiqoh Binta
Journal of Soft Computing Exploration Vol. 5 No. 4 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i4.483

This research aims to develop and implement an electrical power monitoring system at the Sub Sub Distribution Panel (SSDP) in the Building. The system is designed to monitor power usage in real-time, provide accurate information on energy consumption, and detect potential energy waste. The methodology used includes hardware and software design. The hardware consists of current and voltage sensors connected to a microcontroller. The data collected by the sensors is then transmitted via Wi-Fi network to the server for analysis. The software uses an Internet of Things (IoT) platform that displays the data in the form of graphs and tables. The implementation shows that the system is capable of monitoring power usage with a high degree of accuracy. The sensors used, namely PM2100 for voltage, SHT20 for temperature and humidity, and GP2Y101AU0F for dust concentration, proved effective in generating accurate real-time data. Based on the test results, the voltage measurement error with the PM2100 was only 0.035%, while the current measurement resulted in an error of 0.48%. The SHT20 sensor recorded an error of 2.4% for temperature and 1.0% for humidity. Dust measurements with the GP2Y101AU0F sensor had a very small error of 0.02%. These results indicate that the tested device has a sufficient level of precision for electrical power and environmental monitoring applications.

Sistem Input Output Inventaris Tools Menggunakan Long Range RFID Study Case di PLTA Sutami Fa'iz, Muhammad; Joko Endrasmono; Sholahuddin Muhammad Irsyad; Lilik Subiyanto; Anggar Juna Puncak Pujiputra; Mustika Kurnia Mayangsari
Journal of Applied Smart Electrical Network and Systems Vol 6 No 01 (2025): Vol 06, No. 01 June 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v6i01.1152

The problem faced by Sutami Hydroelectric Power Plant in the management and data collection of tools is that the data collection is still done manually, and some tools are not returned to their place due to negligence in use. To support the achievement of the 5S culture (Seiri, Seiton, Seiso, Seiketsu, Shitsuke) at Sutami Hydroelectric Power Plant, an automated tools management system is needed. In the application of the goods input and output system, many are still using low frequency RFID with a reading range of >5cm so that tapping must be done with an RFID Reader. This still has the potential for an unrecorded loan process if the item is not tapped. This research optimizes the tools management system with long range RFID. With the designed update, it is expected that the tools management system at Sutami Hydroelectric Power Plant can provide increased productivity and also achieve the 5S culture at Sutami Hydroelectric Power Plant.

Prediksi Komsumsi Daya Listrik Pada Panel Listrik Menggunakan Metode Neural Network Agus Khumaidi; Muhammad Khoirul Hasin; Anggarjuna Puncak Pujiputra; Irsyad, Sholahuddin Muhammad; Noorman Rinanto; Isa Rachman; Didi, Perdinan Setia Budi; Alfianto Taufiqul Malik; Nurissabiqoh Binta Bayu
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5497

Penggunaan energi listrik yang meningkat menimbulkan tantangan terkait keterbatasan sumber daya alam dan dampak lingkungan, mendorong upaya global menuju efisiensi energi. Di gedung bertingkat, kurangnya sistem prediksi daya pada Sub Distribution Panel (SSDP) menghambat efisiensi dan keandalan distribusi energi listrik. Untuk mengatasi masalah ini, dikembangkan teknologi berbasis neural network yang memanfaatkan sensor PM2100 dan mikrokontroler ESP32 untuk memonitor dan memprediksi penggunaan daya listrik. Data ditampilkan dalam aplikasi Android, memungkinkan pemantauan real-time dan perencanaan yang lebih efisien. Hasil penelitian menunjukkan peningkatan pengelolaan daya, pencegahan kerusakan, dan optimasi penggunaan energi, menjadikan sistem ini model potensial bagi institusi lain dalam meningkatkan efisiensi dan keandalan distribusi energi listrik.

Analisis Kinerja Sistem Kontrol Hybrid Electric Vehicle (HEV) Menggunakan Metode Neuro-fuzzy Rahma Annisa, Aulia; Andika, Yudi; Muhammad Irsyad, Sholahuddin; Sasmita Aji Pambudi, Dwi
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/f5y40s25

Electric cars are an environmentally friendly vehicle alternative developed to reduce exhaust gas emissions and air pollution. One example is the Hybrid Electric Vehicle (HEV), which combines an Internal Combustion Engine (ICE) and an electric motor (DC motor) to improve efficiency and torque performance. HEVs generally have a smaller capacity compared to conventional vehicles, making them more fuel-efficient and energy-efficient. The system in an HEV is complex and nonlinear, requiring dynamic model approaches and appropriate control methods to maintain optimal performance. This research aims to analyze the performance of the inverse model neuro-fuzzy control system predictor implemented on an HEV. The test results show that applying a neuro-fuzzy controller can significantly improve the system's ability to achieve a response that matches the reference model. The performance of the DC motor is able to help reduce the speed error difference by up to 50 rpm with a Root Mean Square Error (RMSE) value of 0.582%. Additionally, there is a 1.411% decrease in error value compared to when the ICE is operating without using a neuro-fuzzy controller. Based on these results, the neuro-fuzzy method has proven effective in improving the accuracy and stability of the control system in HEVs.

Pelatihan Dasar Robotika Berbasis STEM bagi Siswa Sekolah Dasar Al-Islah Surabaya Andika, Yudi; Ardiana, Mirza; Rahma Annisa, Aulia; Sasmita Aji Pambudi, Dwi; Kurnia Mayangsari, Mustika; Muhammad Irsyad, Sholahuddin
Jurnal Pengabdian UNDIKMA Vol. 7 No. 1 (2026): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i1.18201

This community service program aims to enhance elementary school students’ understanding and basic skills in STEM-based robotics (Science, Technology, Engineering, and Mathematics) at SD Al-Islah Surabaya, thereby fostering adaptive, creative, and innovative character development in response to the challenges of globalization. The program implementation included the preparation of instructional modules, delivery of theoretical materials, basic programming activities, equipment demonstrations, hands-on practice, and evaluation using observation sheets to assess participant performance. The activity was conducted at SD Al-Islah Surabaya and involved 94 third- and fourth-grade students accompanied by their homeroom teachers. The results indicate that 50% of the students were able to operate the robots they assembled. In addition, students demonstrated high levels of enthusiasm throughout the activities, actively asked questions, and were able to independently attempt and operate simple robotic systems. Overall, the program effectively improved students’ problem-solving skills and critical thinking abilities, while also developing their foundational understanding of STEM concepts and robotics techniques. This initiative is expected to serve as an initial step toward integrating robotics education into the curriculum of the partner school.

Koordinasi Rele Arus Lebih di Perusahaan Nikel Indonesia Menggunakan Grasshopper Optimization Algorithm Putra, Riko Satrya Fajar Jaelani; Aulia Rahma Annisa; Yudi Andika; Sholahuddin Muhammad Irsyad; Rahmat Basya Shahrys Tsany
Journal of Applied Smart Electrical Network and Systems Vol. 6 No. 2 (2025): Vol. 6 No. 02 (2025): Vol 06, No. 02 Desember 2025
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/kn1tk933

Setiap sistem kelistrikan bergantung pada ketersediaan energi yang berkelanjutan untuk menjaga produktivitas industri tetap berjalan. Gangguan listrik akan merusak peralatan listrik. Sistem proteksi berfungsi untuk meminimalkan hingga menghilangkan gangguan secara cepat, selektif, dan terkoordinasi demi meminimalkan kerusakan sistem dan memastikan pasokan listrik yang tidak terputus. Khususnya untuk rele arus lebih, time dial setting (TDS) merupakan aspek penting yang harus dipertimbangkan perihal koordinasi proteksi. TDS mengatur waktu operasi rele untuk mengamankan sistem kelistrikan. Umumnya, perhitungan manual digunakan untuk menentukan nilai TDS. Metode trial and error sering digunakan untuk mengoordinasikan rele satu sama lain. Metode ini telah berkembang menjadi algoritma cerdas yang dapat menemukan solusi secara efektif dan cepat, salah satu algoritmanya adalah grasshopper optimization algorithm (GOA). Hasil dari simulasi pada penelitian ini didapatkan nilai koordinasi antara rele 4 bekerja pada 0,1 detik & rele 3 bekerja pada 0,3 detik saat timbul gangguan pada trafo 2, rele 3 bekerja pada 0,297 detik & rele 2 bekerja pada 0,496 detik saat timbul arus gangguan pada bus 4, rele 2 bekerja pada 0,492 detik & rele 1 bekerja pada 0,493 saat timbul arus gangguan pada bus 3 serta kinerja rele 1 yang hanya sebagai primer untuk mengamankan generator bekerja pada 0,354 detik saat timbul arus gangguan pada bus 2 telah menghasilkan nilai perhitungan TDS yang akurat serta masih mematuhi aturan pengaturan minimum nilai coordination time interval (CTI) antara rele primer dan rele backup yaitu 0,2 detik dalam satu rating tegangan dan mendekati 0 di rating tegangan yang berbeda.

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