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All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Rekayasa elektrika Majalah Ilmiah Teknologi Elektro
Nur Azis Salim
Universitas Negeri Semarang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Social Sciences

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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.
Robust Stochastic Model Predictive Control for Autonomous Vehicle Motion Planning Subiyanto Subiyanto; Arimaz Hangga; Aldias Bahatmaka; Nur Azis Salim; Deyndrawan Sutrisno; Elfandy Yunus; Setya Budi Arif Prabowo; Muhammad Hilmi Farras; Diadora Sanggrahita
Jurnal Rekayasa Elektrika Vol 20, No 3 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i3.39281

Abstract

This work presents a Robust Stochastic Model Predictive Control (RSMPC) framework for real-time motion planning autonomous vehicles, addressing the complex multi-modal vehicle interactions. The proposed framework involves adding expert policy from observations to the dataset and applying the Data Aggregation (DAgger) method to filter unsafe demonstrations and resolve expert conflicts. A Dual-Stage Attention-based Recurrent Neural Network (DA-RNN) model is integrated to predict dual class variables from the dataset, producing a set containing constraints collision-avoidance predicted to be active. The RSMPC framework enhances formulation optimization by eliminating irrelevant collision avoidance constraints, resulting in faster control signals. The framework is applied iteratively, continuously updating observations and solving the RSMPC optimization formulation in real-time. Evaluation of the DA-RNN model achieved a recall value of 0.97 and a high accuracy rate of 98.1% in predicting dual interactions, with a minimal false negative rate of 0.026, highlighting its effectiveness in capturing interaction intricacies. Validated through simulations of interactive traffic intersections, the proposed framework demonstrably excels, showing high feasibility of 99.84% and a 15-fold increase in response speed compared to the baseline. This approach ensures autonomous vehicles navigate safely and efficiently in complex traffic scenarios, paving the way for more reliable and scalable autonomous driving solutions.
Optimization of Electric Bus Scheduling Using Genetic Algorithm: A Case Study in Public Transport of UNNES Campus Area Nur Azis Salim; Subiyanto Subiyanto; Siva Khaaifina Rachmat; Muhammad Farrel Ekaputra
Jurnal Teknologi Elektro Vol 23 No 1 (2024): (Januari - Juni ) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2024.v23i01.P02

Abstract

The transportation service system requires improvements to evolve into a smart and more efficient system. Passengers waiting at bus stops can create long queues, causing a lack of available shuttle bus capacity when arriving at the bus stop. This work proposes a genetic algorithm model to minimize passenger waiting time and schedule shuttle buses to stops with high capacity. The Genetic Algorithm works by searching for the optimal value to result in optimal waiting time by providing calling shuttle bus. After the method reaches the optimal solution, the simulation result will provide a minimum waiting time. In case studies of simulated design at either campus in Central Java, Indonesia. This method provides a simulated system shuttle bus on scheduling to raise a challenge in waiting time efficiency and passenger accumulation at campus transportation. The case studies of the application on passenger waiting time showcase the model's ability to improve transportation services in the unscheduled campus area. This system was designed to ensure that it was effective in addressing the transportation challenges faced by students and staff. Use the full potential of bus transportation in the campus area to ensure continuity between stops and city transportation. Therefore, this approach reduces waiting times and schedules to overcome challenges posed by passenger accumulation for structured campus transportation services. Keywords—Shuttle Bus; Genetic Algorithm; Campus Area; Minimize Waiting Time; Scheduling; Optimization.
Co-Authors Aldias Bahatmaka Arimaz Hangga Budiyono Budiyono Deyndrawan Sutrisno Diadora Sanggrahita Elfandy Yunus Faizal Ghozali Abas Hendra Dewinta Setiyani Maharani Kusumaningrum Muhammad Farrel Ekaputra Muhammad Hilmi Farras Setya Budi Arif Prabowo Siva Khaaifina Rachmat Vera Noviana Sulistyawan Very Mareta Rahmawati Sulistyawan Wenny Adridtna Kencana Weda