Garuda - Garba Rujukan Digital

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

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

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%.

SISTEM KONTROL PH UP-DOWN BERBASIS NODEMCU32 DENGAN METODE ON-OFF CONTROLLER Devan Cakra Mudra Wijaya; Basuki Rahmat; Eva Yulia Puspaningrum
Jurnal Informatika dan Sistem Informasi Vol. 3 No. 2 (2022): Jurnal Informatika dan Sistem Informasi (JIFOSI)
Publisher : Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifosi.v3i2.476

Kualitas pH air yang ada pada akuarium umumnya akan selalu berubah, sehingga diperlukannya sebuah cara untuk mengatur tingkat keasaman atau kebasaan hingga ke titik tertentu agar aman dalam memelihara ikan, baik hias maupun konsumsi. Oleh karena itu, penulis menciptakan sebuah sistem kontrol pH up-down berbasis NodeMCU32 dengan metode on-off controller, sebagai solusi dari permasalahan tersebut. On-off controller merupakan metode dalam pengontrolan sistem yang paling sederhana : hidup (1) dan mati (0). Mode on-off controller terbagi menjadi dua macam yaitu statis dan dinamis. Pada kondisi mode statis, device akan terus menyala atau terus mati sampai menerima perintah yang baru. Pada kondisi mode dinamis, device biasanya mempunyai pengaturan delay waktu untuk menyala atau mati, sehingga sangat memungkinkan device dapat menyala atau mati dengan sendirinya tanpa harus di perintah lagi. Metodologi yang dipakai oleh penulis yaitu RAD (Rapid Application Development) yang sangat singkat dalam proses pembangunannya. Device yang digunakan pada penelitian ini, meliputi pneumatic solenoid valve, relay 2 channel, NodeMCU32, expansion board NodeMCU32, dan switching power supply. Implementasi on-off controller pada penelitian ini meliputi: all pH on, all pH off, pH up on, pH up off, pH down on, dan pH down off. Berdasarkan hasil pengujian, sistem ini dapat berjalan dengan baik, sehingga dapat dinyatakan valid.

Sistem Pendukung Keputusan Berbasis Interval Type-2 Fuzzy Sugeno Pada Kendali pH Air Devan Cakra Mudra Wijaya; Basuki Rahmat; Eva Yulia Puspaningrum
InComTech : Jurnal Telekomunikasi dan Komputer Vol 12, No 3 (2022)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v12i3.15453

Kemampuan sistem fuzzy dalam menangani hal-hal yang bersifat ambiguitas tinggi, seperti perubahan ekstrem pada pH air sangat diperlukan di era modern saat ini. Sebab, tingginya ambiguitas dapat mengakibatkan alat pengendali pH tidak berfungsi dengan baik, sehingga akan berakibat fatal khususnya pada sektor pertanian. Tipe algoritma fuzzy sangat menentukan keberhasilan dalam penanganan ambiguitas. Berdasarkan permasalahan tersebut, penulis mengusulkan metode IT2FL Sugeno Orde-Nol untuk digunakan sebagai pembelajaran dalam sistem pengendalian pH air yang merupakan inovasi baru yang layak untuk diperdalam lagi kedepannya. Fuzzy logic type-2 mempunyai 4 tahapan dalam penyelesaiannya yaitu meliputi: fuzzifikasi, inferensi, reduksi tipe, dan defuzzifikasi. Fuzzy memiliki beberapa komponen penting didalamnya yang meliputi: variabel, himpunan, domain, fungsi keanggotaan, representasi kurva, dan operator. Adapun tujuan dari penelitian ini ialah untuk memberikan gambaran sederhana dalam menerapkan algoritma IT2FL Sugeno sebagai sarana pengembangan IPTEK dalam ranah teknologi pertanian. Hasil dari penelitian ini menunjukkan bahwa SPK 0 untuk aksi pH up on: 25 detik, SPK 1 untuk aksi pH up on: 10 detik, SPK 2 untuk aksi all pH off: 0 detik, SPK 3 untuk aksi pH down on: 10 detik, dan SPK 4 untuk aksi pH down on: 25 detik. Pengkategorian pH dibagi menjadi 5 macam yaitu: Asam Kuat (0-3), Asam Lemah (4-6), Netral (7), Basa Lemah (8-10), dan Basa Kuat (11-14). Berdasarkan hasil pengujian, sistem memenuhi syarat dan dinyatakan valid dengan standarisasi perhitungan pada sensor : akurasi rata-rata sebesar 91.8%; galat selisih rata-rata sebesar 0.6; dan juga galat sistematis rata-rata sebesar 8.2%.

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

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

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

IOT PENGENDALIAN KEAMANAN PINTU RUMAH OTOMATIS MENGGUNAKAN E-KTP BERBASIS MIKROKONTROLER ESP32 Deri Setiawan; Basuki Rahmat; Wahyu SJ Saputra
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 3 (2023): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i3.1991

Internet of Things (IoT) is a concept that connects electronic devices to the internet and enables the exchange of data between these devices. In this context, this study aims to develop an automatic door security control system using an ESP32 microcontroller-based e-KTP. The proposed system uses e-KTP as a substitute for a physical key on the door of the house. e-KTP will be connected to the ESP32 microcontroller which acts as the brain of the system. Personal data from the e-KTP, such as identity numbers, will be stored securely and used for user authentication. The ESP32 microcontroller will communicate with the server using the WiFi protocol to send and receive data. Users will be able to access the door of the house wirelessly via a mobile application connected to the server. This mobile application will provide an intuitive user interface to control door access and view security status. This system is also equipped with various security features. In addition, users can also monitor home security in real-time through a mobile application, even when they are not at home.

Klasifikasi Suara Instrumen Musik Tiup Menggunakan Metode Convolutional Neural Network Royan Hisyam Rafliansyah; Basuki Rahmat; Chrystia Aji Putra
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 4 (2024): Juli : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i4.119

This research explores the classification of brass instrument sounds using Convolutional Neural Network (CNN) combined with Mel-Frequency Cepstrum Coefficient (MFCC) feature extraction. This research aims to improve the accuracy of brass instrument sound recognition by utilizing CNN's ability to process audio data. Through experiments conducted with different audio durations and variations in CNN model architecture, this study evaluates the impact of dataset separation and model design on classification performance. The results show that dataset duration and CNN model architecture significantly affect classification accuracy, with the highest accuracy achieved in the scenario using 30 seconds of audio duration with an accuracy value of 84%. In addition, experiments varying the number of convolution layers in the CNN model show that the selection of the model architecture plays an important role in classification performance. Overall, this research contributes to advancing the field of audio classification by providing insight into the optimal dataset duration and model architecture for wind instrument speech recognition using CNNs.

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

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

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

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