Article Per Year (5 Year)
p-Index From 2021 - 2026
2.217
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Kursor Scan : Jurnal Teknologi Informasi dan Komunikasi Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer InComTech: Jurnal Telekomunikasi dan Komputer Jifosi Nusantara Science and Technology Proceedings Jurnal Informatika Dan Tekonologi Komputer (JITEK) Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Jurnal Informatika Dan Tekonologi Komputer
Basuki Rahmat
Teknik Informatika Fakultas Ilmu Komputer Universitas Pembangunan Nasional “Veteran” Jawa Timur Jl. Raya Rungkut Madya, Gunung Anyar, Surabaya, Jawa Timur
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search
Journal : Nusantara Science and Technology Proceedings

 1 
Fuzzy and Artificial Neural Networks-Based Intelligent Control Systems Using Python B. Rahmat; B. Nugroho
Nusantara Science and Technology Proceedings International Seminar of Research Month Science and Technology for People Empowerment.
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research proposes intelligent system programming based on Fuzzy and Artificial Neural Networks (ANN). Programming is built using the Python Programming Language. The control system is used based on Proportional Integral Derivative (PID) Controller, where the gain tuning uses Fuzzy and ANN. The research stages include the preparation of plant models, fuzzy and ANN programming libraries using Python. And then how to show the performance of the Intelligent Control System that was built in the form of a simulation.
I-OT.Net As Internet of Things (IoT) Cloud in Internet-Based Control System Applications Rahmat, Basuki; Moeljani, Ida Retno; Widjajani, Bhakti Wisnu; Sudiyarto; Harianto
Nusantara Science and Technology Proceedings 5th International Seminar of Research Month 2020
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0961

Abstract

With the rapid development and deep application and collaboration of new concepts and technologies brought by the Internet of Things (IoT) and cloud computing around the world, all walks of life are gradually moving towards a smart modern society. This technology has gradually penetrated almost all fields, from simple technology to complex technology. Where the basic system of the Internet of Things consists of 3 things, namely: hardware/physical (things), internet connection, and cloud data center as a place to store or run the application. This paper introduces a new Internet of Things cloud in Indonesia, namely i-ot.net. And examples of its application for Miniature Temperature Control System and Smart Farming are given.
Intelligent Fishcarelab System (IFS) for Remote Monitoring of Koi Fish Farming System Tuhu Agung Rachmanto; Minto Waluyo; Mohamad Irwan Afandi; Basuki Rahmat; Helmy Widyantara; Hariyanto Hariyanto
Nusantara Science and Technology Proceedings International Seminar of Research Month Science and Technology in Publication, Implementation and Co
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Intelligent Fishcarelab System (IFS) is designed as online monitoring fish farming system. IFS hardware consists of mechanical and electronic systems. Mechanical system consists of water tanks and piping systems. While the electronic system comprises sensors temperature, pH and Dissolve Oxygen (DO). These sensors include signal conditioning circuit. Furthermore, by using Analog to Digital Converter (ADC) module the data can be read by the microcontroller circuit. Microcontroller circuit is assigned to conduct sensor readings and sends data to the server to inform water conditions. IFS in the operating system hardware requires microcontroller-based software and web-based software for monitoring water quality and feeding automatically and scheduled. Furthermore, this system apart can work directly in the area of fish farming can also be monitored remotely using an Internet connection.
Deep Learning Programming Using Python Case Study: Earthquake Prediction System Basuki Rahmat; Budi Nugroho; Raka Adjie Kurniawan
Nusantara Science and Technology Proceedings 5th International Seminar of Research Month 2020
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0962

Abstract

Python programming language is reliable enough to solve Machine Learning and Deep Learning problems. This paper describes how to solve earthquake prediction problems using the Python programming language that runs in the Jupyter Notebook environment. With the python library used, namely Keras. Deep Learning programming for this earthquake prediction system is the following programming sequence: data preparation, Keras model determination, Keras model compilation, Keras model adjustment, Keras model evaluation, and prediction system creation. From the test results of the earthquake prediction system using the python programming language, the results are quite satisfying. The simulation results show the results of the Deep Learning training process for the prediction system of b-value as an earthquake precursor with several iterations of 10,000 times, the results of MSE, RMSE, MAPE, and the percentage of successful predictions are 5.43 x 10-5; 0.00737; 0.80897 and 99.19% respectively. The results of the Deep Learning testing process for the b-value prediction system as an earthquake precursor which was carried out during the five tests obtained an average of MSE, RMSE, MAPE and the percentage of successful predictions was 0.03886; 0.19003; 23.96459, and 77.75%.
On/Off Temperature Monitoring and Control via the Internet of Things Using iTCLab Kit Basuki Rahmat; Minto Waluyo; Tuhu Agung Rachmanto
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3325

Abstract

With the Internet of Things (IoT) gradually evolving as the next phase of the Internet's evolution, it becomes important to recognize the various potential domains for IoT deployments, and research challenges especially those related to monitoring and control applications in industry. This paper shows how to program a simple On/Off temperature control system via IoT using Arduino and the iTCLab Kit. Meanwhile, for monitoring and controlling temperature via cellphone, the IoT MQTT Panel is used. The experimental results show that the control system has worked well. This is indicated by controlling and monitoring the results of temperature control via cell phone as expected.
Temperature Monitoring via the Internet of Things Using PID-iTCLab Basuki Rahmat; Minto Waluyo; Tuhu Agung Rachmanto
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3332

Abstract

iTCLab or Internet-Based Temperature Control Lab is a temperature control kit for feedback control applications with an ESP32 Microcontroller, LED, two heaters, and two temperature sensors. The heater power output is adjusted to maintain the desired temperature setpoint. Thermal energy from the heater is transferred by conduction, convection, and radiation to the temperature sensor. Heat is also transferred from the device to the environment. In this paper, it is shown how to program temperature monitoring on the iTCLab Kit via the Internet of Things (IoT) using the Arduino programming language. The controller used is Proportional Integral and Derivative (PID). From the experimental results, the temperature monitoring system works well, and the results of temperature control via a cellphone using the IoT MQTT Panel are shown by the real situation
On/Off Temperature Monitoring and Control via the Internet of Things Using iTCLab Kit Basuki Rahmat; Minto Waluyo; Tuhu Agung Rachmanto
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3325

Abstract

With the Internet of Things (IoT) gradually evolving as the next phase of the Internet's evolution, it becomes important to recognize the various potential domains for IoT deployments, and research challenges especially those related to monitoring and control applications in industry. This paper shows how to program a simple On/Off temperature control system via IoT using Arduino and the iTCLab Kit. Meanwhile, for monitoring and controlling temperature via cellphone, the IoT MQTT Panel is used. The experimental results show that the control system has worked well. This is indicated by controlling and monitoring the results of temperature control via cell phone as expected.
Temperature Monitoring via the Internet of Things Using PID-iTCLab Basuki Rahmat; Minto Waluyo; Tuhu Agung Rachmanto
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3332

Abstract

iTCLab or Internet-Based Temperature Control Lab is a temperature control kit for feedback control applications with an ESP32 Microcontroller, LED, two heaters, and two temperature sensors. The heater power output is adjusted to maintain the desired temperature setpoint. Thermal energy from the heater is transferred by conduction, convection, and radiation to the temperature sensor. Heat is also transferred from the device to the environment. In this paper, it is shown how to program temperature monitoring on the iTCLab Kit via the Internet of Things (IoT) using the Arduino programming language. The controller used is Proportional Integral and Derivative (PID). From the experimental results, the temperature monitoring system works well, and the results of temperature control via a cellphone using the IoT MQTT Panel are shown by the real situation
Co-Authors Adhi Prasetya, Guntur ADJIE KURNIAWAN, RAKA Anggraeny, Fetty B. Nugroho Budi Nugroho Budi Nugroho Daniella, Cherry Deri Setiawan Devan Cakra Mudra Wijaya Eva Yulia Puspaningrum faisal, Faisal Fahri Ferdiansyah Fetty Tri Anggraeny Handono, Stevanus Frangky Harianto Hariyanto Hariyanto Helmy Widyantara Hutama, Dhany Satya I Nyoman Sujana Ida Retno Moeljani Ifnu Wisma Dwi Prastya Iqbal Imani Khoirul Akbar Irwan Afandi, Mohamad Kartini Mada Lazuardi Nazilly Minto Waluyo Minto Waluyo Muhammad Alfin Jimly Asshiddiqie Naufal Mumtaz, Ahmad Nugraha, Novemidu Wilis Prameswari Reksa Agami Putra, Chrystia Aji R MEHINDRA PRASMATIO Raka Adjie Kurniawan Ridho Aji Pangestu Royan Hisyam Rafliansyah Singgih Putra Pratama Singgih Putra Pratama Sudiyarto Syaifullah JS, Wahyu TATI NURHAYATI Tuhu Agung Rachmanto Tuhu Agung Rachmanto Wahyu SJ Saputra Widjajani, Bhakti Wisnu Yuniar Purbasari, Intan Yuniar, Intan