Nur Azis Salim
Universitas Negeri Semarang

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Pemanfaatan Limbah Minyak Menjadi Lilin Aromaterapi Layak Jual dengan Teknologi Pemasaran Website E-Commerce dan Google Ads Vera Noviana Sulistyawan; Faizal Ghozali Abas; Wenny Adridtna Kencana Weda; Very Mareta Rahmawati Sulistyawan; Nur Azis Salim; Maharani Kusumaningrum; Hendra Dewinta Setiyani; Budiyono Budiyono
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 14, No 2 (2023): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v14i2.11975

Abstract

Pandemi, disrupsi, dan inflasi menjadi tantangan besar dalam sektor ekonomi di Indonesia saat ini. Disrupsi teknologi digital merupakan peluang yang bisa dimanfaatkan untuk pemulihan ekonomi. Sasaran dalam pengabdian ini adalah Desa Pucangan yang terletak di Kabupaten Sukoharjo, Jawa Tengah. Desa Pucangan memiliki beberapa penjual UMKM dimana desa tersebut menghasilkan limbah minyak jelantah yang cukup banyak. Jika limbah tersebut tidak diolah dengan benar maka akan mencemari lingkungan dan mengganggu kesehatan. Di desa tersebut belum ada pengolahan limbah minyak. Disisi lain, banyak masyarakat yang terdampak Covid 19 di desa tersebut sehingga kehilangan pekerjaan yang menjadi sumber penghasilan. Dalam pengabdian ini, diusulkan sosialisasi dan pelatihan mengolah limbah minyak jelantah menjadi lilin aromaterapi yang layak untuk dijual. Selain itu, masyarakat dilatih menggunakan teknologi website e-commerce untuk pemasaran yang diharapkan dapat memperluas area penjualan lilin tersebut. Dalam proses penjualan mengaplikasikan periklanan menggunakan Google Ads yang terintegrasi dengan website e-commerce yang dibuat. Tujuan dari pengabdian ini adalah membentuk/memberdayakan kelompok masyarakat di Desa Pucangan agar dapat mandiri secara ekonomi.
Design of Brushless DC Motor Driver Based on Bootstrap Circuit Khoirudin Fathoni; Esa Apriaskar; Nur Azis Salim; Vera Noviana Sulistyawan; Rifki Lukman Satria; Syahroni Hidayat
Jurnal Elektronika dan Telekomunikasi Vol. 23 No. 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.563

Abstract

Brushless DC (BLDC) motor is a three-phase motor that cannot work directly with DC current but requires electronic commutation to replace the brush function in DC motor. This paper aims to implement BLDC motor driver integration based on bootstrap circuit using Autodesk Eagle. The driver board consist of bootstrap circuit based on IR2110, MOSFETs, three voltage regulator, ESP32 microcontroller and ACS712 current sensor connection, logic level converter, and BLDC hall effect signal sensor conditioning. The research proposes bootstrap capacitor calculation based on charging/discharging capacitor principle and the minimum motor speed rotation. The implemented driver has 14x10 cm dimension tested to drive 24V/135W/6000rpm sensored BLDC motor using six steps commutation with pulse width modulation (PWM) inserted programmatically in ESP 32 to drive the high side MOSFET of the driver without AND gate circuit. The effect of pwm frequency and dutycycle variation to the speed and current of the motor is investigated. The results showed that the driver with both 12 V and 24 V voltage source and 68 μF bootstrap capacitor work optimally in 20 KHz PWM frequency both in open loop and closed loop speed control test. The motor reach 129 W for the largest power and 5250 rpm for the fastest speed in 24 V supply.
An efficient motion planning framework for four-wheel steering autonomous vehicles using Lazy Edge-Based A* and adaptive RK4-MPC Deyndrawan Sutrisno; Subiyanto Subiyanto; Arimaz Hangga; Aldias Bahatmaka; Nur Azis Salim; Elfandy Yunus; Muhammad Hilmi Farras; Setya Budi Arif Prabowo
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 17, No 1 (2026): In Progress
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2026.1073

Abstract

This work presents an efficient motion planning framework for four-wheel steering (4WS) autonomous vehicles operating in complex and unknown environments. To improve planning efficiency, the framework employs a lazy edge-based A* (LEA*) algorithm for global path planning, adaptive fourth-order Runge–Kutta model predictive control (RK4-MPC) for trajectory tracking and motion execution, and wheel force distribution control (WFDC) to ensure stable motion during steering maneuvers. Quantitative results show that the LEA* reduces planning time by 87.5 % edge evaluations by 96.1 % compared to conventional A*, while improving path smoothness by 51 %. The integration of adaptive RK4-MPC with WFDC achieves the lowest tracking error and heading error of 34.8 % and 37.5 % compared to OMNI, and 28.6 % compared to S-4WS. In addition, the proposed method reduces the wheel slip ratio 88.4 % better than OMNI and 46.7 % better than S-4WS, while also reducing yaw acceleration by 50 % compared to both baselines. For computational efficiency, the proposed framework achieves a search time of 0.5234 s, 83.1 % faster than OMNI, and 37.1 % faster than S-4WS, and an optimization time of 1.4892 s, 30.3 % faster than S-4WS. Overall, the proposed framework improves motion planning efficiency while maintaining smooth and stable motion in simulation.