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Budihardja Murtianta
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Streamlined A* for Faster Robotic Inspections in Ports Hartanto Kusuma Wardana; Rumaksari, Atyanta; Prischa Wilhelmina Picanussa; Budihardja Murtianta; Adri Sooai; King Harold Recto
Jurnal Sistem Cerdas Vol. 7 No. 2 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i2.416

Abstract

Research on automatic port inspections using robots has been carried out in the state-owned company Indonesia Port Corporation, Semarang, Indonesia. However, increasing the efficiency of robotic inspections is critical because robots need to perform these tasks at much higher speeds than humans, while maintaining a high level of accuracy. The robot is equipped with sensors and computer vision technology to detect defects or problems that humans might miss. The aim is to increase overall inspection accuracy at a lower cost. In this research, we introduce an optimized A* path planning algorithm that incorporates the flood algorithm, node reductions process, and linear path planning optimization for an autonomous navigated port inspection robot. Our primary objective is to significantly increase the efficiency of the conventional A* algorithm in guiding robotic systems through complex paths. The proposed algorithm demonstrates exceptional efficiency in generating feasible paths, with success attributed to optimization steps that specifically target reducing node processing and enhancing route finding. The experimentation phase involves a comprehensive assessment of the algorithm using six key parameters: running time, number of nodes, number of turns, maximum turning angle, expansion nodes, and the total distances output. Through rigorous testing, the algorithm's performance is evaluated and compared against seven other current algorithms, namely A*, BestFirst, Dijkstra, BFS, DFS, Bidirectional A*, and Geometric A*. Results from the experiments reveal the algorithm's outstanding running time efficiency, surpassing all other algorithms tested. Notably, it exhibits a remarkable 6.5% improvement over the widely recognized Geometric A* algorithm.
Power Regulator Design Using LM317 for Precise and Efficient Power Management Murtianta, Budihardja; Rumaksari, Atyanta Nika
Jurnal Elektronika dan Telekomunikasi Vol 24, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.632

Abstract

The Indonesian government plans to transition its transportation sector to electric vehicles (EVs) by 2025. Achieving this ambitious target will necessitate advancements in power management technologies. Therefore, the government is boosting research on energy efficiency, cutting power dissipation, and enhancing the reliability and lifespan of EV components. This study focuses on designing a power-efficient linear voltage regulator using the LM317, which is essential for EV power management. The regulator employs a voltage comparator to monitor feedback voltage and select the correct input voltage, ensuring efficient and stable output power. We tested the LM317 against the LM338 and LM350 in various setups. The results showed that the LM317 performed better in terms of voltage precision, efficiency, power dissipation, and temperature stability. Moreover, the LM317 achieved 75% efficiency in single-source setups and 85% in multi-source configurations, with a voltage precision of ±0.1%. The system’s ability to dynamically select input sources ensures optimal performance for small-signal EV applications.
Pengajaran Elektronika Praktis bagi Siswa SMK Negeri 2 Salatiga Murtianta, Budihardja; Santika, Maria; Sabatino, Demas; Fuadi, Ihsan; Galih Samudra, Ananditya
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 3 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Edisi Mei- Agustus
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i3.3567

Abstract

Pemanfaatan big data, Internet of Things (IoT), robot, dan sistem komputasi awan adalah tanda revolusi industri 4.0 yang sedang berlangsung di seluruh dunia. Masyarakat diharapkan dapat beradaptasi dengan inovasi dan perubahan ini melalui keterampilan inovatif dan pelatihan dasar elektronika yang menunjang kemampuan Sumber Daya Manusia (SDM). Berdasarkan hal tersebut maka pengajaran elektronika praktis dilakukan untuk siswa SMK Negeri 2 Salatiga yang sedang melakukan tugas kerja lapangan di Fakultas Teknik Elektronika dan Komputer. Materi ajar dibuat berdasarkan kebutuhan peserta serta diberikan dengan presentasi kemudian peserta diajak untuk melakukan praktik berdasarkan materi yang telah diberikan. Materi-materi tersebut antara lain adalah materi catu daya dan materi energi baru. Setelah melakukan serangkaian kegiatan pengajaran dan praktik, siswa peserta diberikan kuisioner mengenai kepuasan selama pembelajaran sebagai bentuk evaluasi kegiatan ini. Hasil yang didapatkan adalah lebih dari 80% siswa merasa puas dengan materi kegiatan yang telah diberikan. Hasil ini menunjukkan hasil yang baik didukung dengan antusiasme siswa yang baik selama kegiatan berlangsung.
Co-Authors Adri Gabriel Sooai Adri Sooai Albert Tarra Wahyu Setiadi Andreas Ardian Febrianto Arivia Aurelia Devina P. Atyanta Nika Rumaksari Chatarina Umbul Wahyuni Darmawan Utomo Deddy Susilo Demas Sabatino Eva Yovita Dwi Utami Fransiscus Dalu Setiaji Fuadi, Ihsan Galih Samudra, Ananditya Gloria Song Abimanyu Gunawan Dewantoro Handoko Handoko Hartanto Kusuma Wardana J. P. Tirtayasa King Harold Recto Lukas Bambang Setyawan Maria Enggar Santika Nabella Previana Yosinta Nathanael Adharta Livendra Murtianta Previana Yosinta, Nabella Prischa Wilhelmina Picanussa Rizky Salenda Stevano Danis Ronaldo Vinsensius R.S. Purnomo