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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Sinergi Jurnal Teknologi Elektro Proceeding of the Electrical Engineering Computer Science and Informatics InComTech: Jurnal Telekomunikasi dan Komputer TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Abdi Masyarakat (JAM) Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Abdidas Journal FORTEI-JEERI Journal of Community Service International Journal of Engineering Continuity
Suwoyo, Heru
Universitas Mercu Buana
Aerospace Engineering Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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PENERAPAN PERALATAN INOVATIF BERBASIS TEKNOLOGI UNTUK MENINGKATKAN EFEKTIVITAS PRODUKSI PELAKU USAHA DI KAMPUNG EKOWISATA KERANGGAN Suwoyo, Heru; Andika, Julpri; Dinata, Rizky; Zakaria, Nazori Agani; Kusuma, Prima Wijaya; Mahardika, Erlintang; Lestari, Reza Ayu; Ilham, Muhammad
Journal of Community Service Vol 7 No 2 (2025): JCS, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jcs.v7i2.282

Abstract

Kelompok sadar wisata (pokdarwis) di Kampung Ekowisata Keranggan berfokus pada peningkatan daya tarik wisata sekaligus cita-cita untuk mencapai kemandirian dan kesejahteraan ekonomi masyarakat. Dalam pengelolaannya, mereka didukung oleh dua kelompok penggerak: kelompok home industry makanan ringan dan kelompok budaya serta kerajinan tangan. Kedua kelompok ini memainkan peran penting dalam menyediakan produk oleh-oleh bagi wisatawan. Namun, meningkatnya jumlah pengunjung dan reseller menghadirkan tantangan, terutama kapasitas dan diversitas produk yang harus dipenuhi. Proses produksi manual yang masih dominan tidak lagi mencukupi permintaan ini. Untuk mengatasi masalah tersebut, tim pengabdian masyarakat dari Universitas Mercu Buana menawarkan solusi melalui penerapan teknologi tepat guna dan pelatihan. Kegiatan ini berfokus pada kesadaran akan pentingnya teknologi, karakteristik produk, dan perluasan pasar. Keberhasilan program diukur melalui kemandirian peserta setelah pelatihan, serta kreativitas produk yang dihasilkan. Tim juga memastikan keberlanjutan capaian dengan melakukan pendampingan dan pengendalian secara terus-menerus, guna mendukung pengembangan dan kesejahteraan ekonomi di Kampung Ekowisata Keranggan
Adaptive bidirectional heuristic rapidly exploring random tree* for efficient path planning Suwoyo, Heru; Faudzi, Ahmad 'Athif Mohd; Adriansyah, Andi; Gunardi, Yudhi; Andika, Julpri; Tian, Yinzhong
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.11859

Abstract

Sampling-based path planning algorithms such as rapidly exploring random tree* (RRT*) are widely used for autonomous navigation in complex environments. However, many RRT variants suffer from slow initial exploration, suboptimal convergence, and search inefficiency in dense spaces. Based on this, adaptive bidirectional heuristic-RRT* (ABH-RRT*) is proposed. It is a novel method introduced as a unified path planner. ABHRRT* integrates bidirectional tree growth, heuristic-based parent selection, fast-informed hybrid sampling, and adaptive reordering to improve exploration efficiency and path optimality. The algorithm speeds up the initial path recovery caused by the presence of dual tree expansion and fast sampling. In addition, the algorithm also refines the solution using informed sampling and adaptive reordering to improve convergence toward near-optimal paths. The performance of ABH-RRT* is evaluated in four environments with different complexity levels and compared with RRT, RRT*, Fast-RRT*, Smart-RRT*, and Informed-RRT*. Experimental results show that ABH-RRT* consistently produces shorter paths and faster convergence, reduces path cost by 2–24% and increases convergence speed by 40–58% in dense and constrained environments. These results show that ABH-RRT* is a better and adaptive solution for path planning in complex scenarios.
An adaptive decreasing sigmoid convergence factor for enhancing Grey Wolf Optimizer performance in high-dimensional optimization problems Andi Adriansyah; Yudhi Gunardi; Heru Suwoyo; Fina Supegina; Isack Farady; Ahmad 'Athif Mohd Faudzi
SINERGI Vol. 30 No. 2 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2026.2.025

Abstract

Optimization algorithms require an effective balance between exploration and exploitation to achieve fast convergence and high solution quality. The Grey Wolf Optimizer (GWO) has demonstrated promising performance in various engineering applications; however, its conventional linear convergence factor often leads to premature convergence or insufficient exploitation, particularly in high-dimensional search spaces. To address this limitation, this study proposes an adaptive decreasing sigmoid convergence factor that dynamically regulates the transition between exploration and exploitation throughout the optimization process. Unlike the standard linear reduction scheme, the proposed sigmoid-based mechanism maintains stronger exploration during the early search stages and accelerates exploitation in later iterations through a controlled nonlinear decline. The proposed approach was evaluated using four widely adopted benchmark functions, namely Sphere, Rosenbrock, Rastrigin, and Griewank, under different dimensionalities, population sizes, and iteration limits. Experimental results demonstrate that the proposed method improves performance in most benchmark scenarios compared with the standard GWO. The best performance was obtained with a sigmoid parameter n = 0.75, which yielded near-optimal solutions for the Sphere and Griewank functions while maintaining stable convergence for the Rosenbrock function. The results further indicate that the proposed strategy scales effectively across medium- and high-dimensional optimization problems. These findings confirm that the adaptive decreasing sigmoid convergence factor provides a simple yet effective enhancement to GWO, offering improved convergence behavior and optimization accuracy across benchmark optimization problems.
Co-Authors Abdurohman Abdurohman Ahmad 'Athif Mohd Faudzi Akhmad Wahyu Dani Alfiani, Raudah Andi Adriansyah Angela Dirman Arrais, Muchammad Taufiqi Burhanudin, Achmad Chenwei Deng Deng, Chenwei Fadli Sirait Fahrudin Fahrudin Faudzi, Ahmad 'Athif Mohd Febriandirza, Arafat Fengfeng Xi Ferryawan Harris Kristanto Fina Supegina Fina Supegina Guangjie Yuan Hastomi, Yudi Hossain, Md Musabbir Hutomo, Fajri Rezki Indriyanti, Prastika Isack Farady Jibran, Alwan Julpri Andika Ketty Siti Salamah Kusuma, Hiero Kusuma, Prima Wijaya Lestari, Reza Ayu Li, Long Long Li Long Li Mahardika, Erlintang Md Musabbir Hossain Muhammad Hafizd Ibnu Hajar Muhammad Ilham Muhammad Yusuf Nazori AZ Putra, Firoos Safana Rachmat Muwardi Rizky Dinata Shamsudin, Abu Ubaidah Taufik Hidayat Taufikurohman, Nur Aziz Thong, Zhou Tian, Yingzhong Tian, Yingzhong Tian, Yinzhong Tong Zhou Trie Maya Kadarina Triwidya Mochtar, Thathit Gumilar Triyanto Pangaribowo Wang, Wenbin Wenbin Wang Wenbin Wang Winiyoga, January Dwidasa Yifan Li Yingzhong Tian Yingzhong Tian Yingzhong Tian Yingzhong Tian Yingzhong Tian Yudhi Gunardi Yudhi Gunardi Yuliza Yuliza Zendi Iklima Zhou Thong