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All Journal ComEngApp : Computer Engineering and Applications Journal AUSTENIT Proceeding of the Electrical Engineering Computer Science and Informatics AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Pengabdian Masyarakat Bumi Raflesia Journal of Research in Business, Economics, and Education Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Digit : Digital of Information Technology Journal of Applied Smart Electrical Network and System (JASENS) International Journal of Research in Vocational Studies (IJRVOCAS)
RD Kusumanto
Politeknik Negeri Sriwijaya
Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Journal : Journal of Applied Smart Electrical Network and System (JASENS)

 1 
Implementasi Neural Network Untuk Kendali Gerak Mobile Robot Pembasmi Hama Dadi Setiadi; Pola Risma; Tresna Dewi; RD Kusumanto; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 1 No 01 (2020): Vol 1 No 01 (2020) : June 2020
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v1i01.36

Abstract

The agricultural sector is one of the most important economic sectors for Indonesia. However, agriculture itself is accompanied by a number of problems, one of which is pests that attack crops and cause crop failure. The use of robotics in agriculture can now overcome the limited capacity of farmers to monitor large land areas. Using an RC robot that can be controlled automatically via a cell phone monitor screen, human work is greatly facilitated. Artificial intelligence is implanted into a robot to improve the performance of an agricultural robot. This paper discusses designing a pest spraying robot with Neural Network applications for effective and efficient control inputs. The feasibility of the proposed method is proven by simulation conducted in Neuroph Studio and MobotSim. The simulation results show that neural network applications can effectively manage mobile robot movements with an error value of less than 0.1 to avoid the obstacles they encounter to reach the target.
Desain Fuzzy Logic Controller Untuk Pengendali Pergerakan Mobile Manipulator Putri Repina Kesuma; Tresna Dewi; RD Kusumanto; Pola Risma; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 1 No 01 (2020): Vol 1 No 01 (2020) : June 2020
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v1i01.43

Abstract

Technology is developing more and more to facilitate human life. Technology enables automation in all areas of life, and robots are among the most frequently used machines in automation. Robots can help with human work in all fields, including agriculture. A mobile robot manipulator is a combination of a robot arm and a mobile robot so that this type of robot can combine the capabilities of the two robots. This paper discusses the design of a robot manipulator to be used in agriculture to replace farmers in the harvesting of agricultural products, such as tomatoes. This paper presents a mechanical, electrical design and uses the Fuzzy Logic Controller as artificial intelligence. The feasibility of the proposed method is demonstrated by simulation in Mobotsim.
Pembangkit Energi Listrik Hybrid Mini Menggunakan Turbin Angin Sumbu Vertikal Savonius Sebagai Sumber Energi Alternatif Edo Triyandi; Pola Risma; RD Kusumanto; Tresna Dewi; Yurni Oktarina
Journal of Applied Smart Electrical Network and Systems Vol 2 No 2 (2021): Vol 2 No 02 (2021): December 2021
Publisher : Indonesian Society of Applied Science (ISAS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jasens.v2i2.200

Abstract

Hybrid system is the concept of combining two or more different energy sources to meet the needs of the existing electrical load, so this is expected to overcome energy use if the supply of other electrical energy is problematic. One example is the merging of solar energy and wind energy. The advantages of this hybrid generator are that it is non-polluting, abundant, never runs out and can be used directly or indirectly and is energy for all time. In the wind energy generator section, the type of Savonius vertical axis wind turbine is used, where this turbine is very suitable for use in low-speed wind types such as the one in the city of Palembang using the MY-1016 generator with an output power of 350 Watt. The mini hybrid electric energy generation system uses a savonius vertical axis wind turbine as an alternative energy source consisting of several components, including: Savonius vertical axis wind turbine, MY-1016 Generator, Controller, Internet of Things (IOT), Anemometer sensor, INA219 current sensor, Energy storage system (battery, pump storage), and 1500-Watt Inverter.
Co-Authors A Rahman Asriyadi Asriyadi Carlos RS City Ardhela Alisya Dadi Setiadi Edo Triyandi Fradina Septiarini Hj. Lindawati Irma Salamah Jaksen M.A Jullia Fatriana Putri M. Aris Ganiardi M. Edwin Syah Effendy M. Muhajir Meli Gustina Mohammad Fadhli Muhammad Dede Yusuf Muhammad Fadhli Muhammad Zulfahmi Ovi Irawan Pola Risma Putri Repina Kesuma Rusdianasari Rusdianasari Siproni Siproni Tresna Dewi Tri Widagdo Yohandri Bow Yohandri Bow Yurni Oktarina