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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) REKAYASA International Journal of Artificial Intelligence Research The Spirit of Society Journal : International Journal of Society Development and Engagement Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Teknik Elektro dan Komputer TRIAC Applied Technology and Computing Science Journal Infotekmesin Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Ners Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Journal of Soft Computing Exploration JURNAL POLI-TEKNOLOGI Indonesian Journal of Innovation Multidisipliner Research Jurnal Cakrawala Maritim Indonesian Journal of Innovation Multidisipliner Research
Agus Khumaidi
Politeknik Perkapalan Negeri Surabaya
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Journal : Journal of Soft Computing Exploration

 1 
Design of ANFIS system to detect the condition of generator set model P22-6 based on Omron CJ1M PLC Rahmawati, Nanda Putri; Adhitya, Ryan Yudha; Widodo, Hendro Agus; Afianto, Afif Zuhri; Khumaidi, Agus; Budiawati, Ratna; Hardiyanti, Fitri; Santoso, Mochamad Yusuf
Journal of Soft Computing Exploration Vol. 5 No. 3 (2024): September 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i3.435

Abstract

The application of machine monitoring systems is currently increasingly needed, one of which is on generators. Generator sets are one of the important elements in providing energy needed in company operations. However, to ensure optimal performance and prevent unexpected engine damage, careful monitoring of the generator set's operational conditions is required, especially of key variables such as temperature, rotation speed, and engine vibration. The purpose of this study is to identify the condition of the generator set using three parameters. In this research, adaptive neuro fuzzy inference system (ANFIS) is used as a tool to model the relationship between inputs (temperature, speed, and vibration) and outputs (engine condition). The dataset for normal conditions amounted to 25 data and for abnormal conditions amounted to 25 data. From this data, an RMSE of 0.000032 was obtained in the 3-3-5 membership function structure with a trapezoidal type membership function. And at the stage of applying fuzzy to the Omron PLC, the RMSE is 0. Simulations are carried out to test the effectiveness of ANFIS in predicting machine conditions based on monitored parameters.
Implementation of integrated temperature, humidity, and dust monitoring system on building electrical panel Khumaidi, Agus; Hasin, Muhammad Khoirul; Pujiputra, Anggarjuna Puncak; Irsyad, Sholahuddin Muhammad; Rinanto, Noorman; Rachman, Isa; Budi, Perdinan Setia; Malik, Alfianto Taufiqul; Bayu, Nurissabiqoh Binta
Journal of Soft Computing Exploration Vol. 5 No. 4 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i4.483

Abstract

This research aims to develop and implement an electrical power monitoring system at the Sub Sub Distribution Panel (SSDP) in the Building. The system is designed to monitor power usage in real-time, provide accurate information on energy consumption, and detect potential energy waste. The methodology used includes hardware and software design. The hardware consists of current and voltage sensors connected to a microcontroller. The data collected by the sensors is then transmitted via Wi-Fi network to the server for analysis. The software uses an Internet of Things (IoT) platform that displays the data in the form of graphs and tables. The implementation shows that the system is capable of monitoring power usage with a high degree of accuracy. The sensors used, namely PM2100 for voltage, SHT20 for temperature and humidity, and GP2Y101AU0F for dust concentration, proved effective in generating accurate real-time data. Based on the test results, the voltage measurement error with the PM2100 was only 0.035%, while the current measurement resulted in an error of 0.48%. The SHT20 sensor recorded an error of 2.4% for temperature and 1.0% for humidity. Dust measurements with the GP2Y101AU0F sensor had a very small error of 0.02%. These results indicate that the tested device has a sufficient level of precision for electrical power and environmental monitoring applications.
Co-Authors Abdul Hafizh Abyan Faruq Achmad, Vandy Adhitya, Ryan Yudha Adi Rahmad Ramadhan Adi Wisnu Sahputera Adianto Adianto Afianto, Afif Zuhri Am Maisarah Disrinama Anggarjuna Puncak Pujiputra Ardiana, Mirza Arfianto, Afif Zuhri Arief Subekti Arninputranto, Wibowo Arumsari, Nurvita Astutik, Rina Puji Aulia Rahma Annisa Bagus Setiawan, Danis Basuki Rahmat Basuki Rahmat Masdi Siduppa Basuki Rahmat, Mohammad Bayu, Nurissabiqoh Binta Bhakti Bhakti Budi, Perdinan Setia Budiawati, Ratna Budiyanto, Ekky Nur C. I. Sutrisno Cahyono, Ferry Budi Danis Bagus Setiawan Darmawan, Wahyu Dewi Kurniasih Dianita Wardani Dianita Wardani Dika Rahayu Widiana Endrasmono, Joko Fadlol, Muhammad Thoriq Faturrahman, Bima Fitri Hardiyanti Hafid, Mohammad Arigo Al. Hananta A Hasin, M. Khoirul Hasin, Muhammad Khoirul Hendro Agus Widodo, Hendro Agus Ihsania, Tsabita Ii Munadhif Imah Luluk Kusminah Imam Sutrisno Imam Sutrisno Imam Sutrisno Indriawati, Melta Anindya Irfan Marzuqi Irma Rustini Aju Jami’in, Mohammad Abu Joesianto Eko Poetro Joko Endrasmono Joko Endrasmono Khoirun Nasikhin Kusminah, Imah Luluk Kusumah, Adam Lilik Subiyanto M. Basuki Rahmat Mades Darul Khairansyah Malik, Alfianto Taufiqul Mat Syai’in Mochamad Yusuf Santoso Mohammad Basuki Rahmat Mustika Kurnia Mayangsari Nasikhin, Khoirun Noorman Rinanto Oktavia, Shelly Pradana, Rizal Lucky Prahasta, Brendi Pristovani Riananda, Dimas Pristovani, Dimas Projek Priyonggo Sumangun Lukitadi Pujiputra, Anggarjuna Puncak Putra, Zindhu Maulana Ahmad Rafsanjani, Zainu Rahmat, M. Basuki Rahmawati, Nanda Putri Ramadhani, Mifta Aulia Riananda, Dimas Pristovani Rinanto, Noorman Rizal Fahmi Rizal Fahmi Rizky, Sofi Berliana Romadloni, Faiz Ryan Yudha Adhitya Santoso, Agus Dwi Setiani, Vivin Setyawati, Emeralda Eka Putri Sholahuddin Muhammad Irsyad Sholihah, Mar'atus Sri Wiwoho Mudjanarko, Sri Wiwoho Sryang T Sarena Suwandi, Donny Aryo Seno Syai’in, Mat Syai’in Wahyudi, Mohammad Thoriq Wibowo, Sekarsari Wisnu Sahputera, Adi Yudha Adhitya, Ryan Yugowati Praharsi Yuning Widiarti, Yuning Zazila, Mujtaba Fa'akuli Zindhu Maulana Ahmad Putra