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All Journal Dinamik Rekayasa Mesin Indonesian Journal of Artificial Intelligence and Data Mining JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Techne : Jurnal Ilmiah Elektroteknika MATAPPA: Jurnal Pengabdian Kepada Masyarakat Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Buletin Ilmiah Sarjana Teknik Elektro MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Journal of Computer Networks, Architecture and High Performance Computing Journal of Electrical Engineering and Computer (JEECOM) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Indonesian Journal of Innovation Studies Jurnal Al Ulum: LPPM Universitas Al Washliyah Medan PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Journal of Empowerment and Community Service Journal of Social Comunity Services Jurnal Elektronika dan Telekomunikasi
Ahmad Ahfas
Universitas Muhammadiyah Sidoarjo
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

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Leakage Warning System and Monitoring Lapindo Sidoarjo Mud Embankment Based on Internet of Things Haji, Shon; Ahfas, Akhmad; Syahrorini, Syamsudduha; Ayuni, Shazana Dhiya
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.25269

Abstract

The emergence of the Lapindo Sidoarjo mudflow has a long history since 29 May 2006. The point of the mudflow is in Siring Village, and until now, it has shown no signs of stopping. Sidoarjo residents are still fearful of the impact and recurrence of the mudflow, especially those still living around the embankment. The real impact is often still felt, such as embankment leaks, embankment collapses, or overflowing water mixed with mud during high rainfall, making people who still live around the embankment anxious. The unavailability of monitoring information to the public and the unclear mitigation system makes it necessary to have an information system that is easily accessible to the public. Therefore, by utilizing the advances in Internet of Things technology, this research will design a prototype system to monitor the conditions around Lapindo Sidoarjo Mud using Telegram Bot as a user interface, the ESP32-Cam microcontroller board, SW-420 vibration sensor, and MPU-6050 accelerometer sensor. The result of testing this prototype tool is that the Telegram user will receive a notification if the condition of the prototype field is experiencing vibrations or changes in position. Other than that, the Telegram user can also request real-time information, such as temperature, the axis position of the prototype as an initial benchmark, and the current photo to know the condition of the Lapindo Sidoarjo mud embankment. That way, it is hoped that this prototype system will become a monitoring and mitigation solution for the local people and the general public who reach this Telegram Bot room chat.
Design Product Counting and Sorting Tools Using Esp8266-Based Volumenization Marzuki, Taufik; Ahfas, Akhmad; R.S, Dwi Hadidjaja; Anshory, Izza
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2879

Abstract

Indonesia is a large country, so it does not rule out the possibility of natural resources owned by Indonesia such as natural resources coal, petroleum, gas, nickel and many others When we enter the industrial world, especially placed in the production process area, more precisely the process of sorting goods, it is very necessary to optimize the performance and results of the effectiveness of these working hours so as to get high performance efficiency and will get maximum yield. In the shipping section there are several occurrences of problems which include three main activities of the process of receiving, storing and sending when receiving or sending. We recommend reducing errors at the time of delivery of goods. As for the problem of empty packaging and calculating the number of inappropriate products, by providing solutions using loadcell sensors for weight, proximity sensors for automatic counters and using google sheets as data storage in real time using esp8266 as a controller module.causing performance effectiveness that is expected to be better automatically and using the sophistication of IoT systems connected to the web system.and supported by several Components include relays, pneumatics, googlesheets in order to get accurate results, product sorting tools using this loadcell will be compared with loadcell weighing devices that have been on the market in order to find out how accurately it has obtained the appropriate results using a volume of 103gr. The results of the entire test tool get accurate data ranging from googlesheet to reading through Lcd 20x4 testing is carried out five times so that this tool can be applied to other supporting tools.that the entire tool is able to answer the problems of the developing industrial world.
Prototype Of Moisture Content Meter In Grain Using Esp32 Based On Spreadsheet Ramadhan, Mochammad Derian; Wisaksono, Arief; Jamaaluddin, Jamaaluddin; Ahfas, Akhmad
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3530

Abstract

In the process period after the rice is harvested, the rice is then separated from the stalk and referred to as grain which will then be dried. The dried grain aims to reduce the water content, in measuring the water content of the grain, an effective and efficient measurement and database storage tool is needed for users to find out which grain is suitable for processing and can determine the quality of the water content of the grain. The method used in this research uses the RnD (Research And Development) method. In this test using capacitive soil moisture sensor and using database storage in the form of google spreadsheet. The capacitive soil moisture sensor is also calibrated with conventional measuring instruments (Grain Moisture Meter) to find out whether the sensor works properly and accurately. The results in this test found that all components are able to work properly and show an error value <1, the sample reading data will be sent to the database on google spreadsheet so that users can find out the data records in real time and detail.
Design and Build Integrated Water Filter Automation for Android Smartphones (IoT): Rancang Bangun Otomasi Filter Air Terintegrasi Smartphone Android (IoT) Septiyan, Moch. Dani; Anshory, Izza; Ahfas, Akhmad; Jamaaluddin, Jamaaluddin
Indonesian Journal of Innovation Studies Vol. 14 (2021): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (244.414 KB) | DOI: 10.21070/ijins.v14i.538

Abstract

In the internet of things, one of the current developments is smartphone-based water automation which makes it easier for users to control water. The working principle of this research is the water contained in the water storage tank if the water level is below 25 cm then the water pump (water input) will be active until the water is above 25 cm. Then the solenoid valve (water output) can be opened and closed via the Blynk application. When the solenoid is opened, the water in the holding tank will pass through filters 1 and 2 into the filter reservoir. The water in the filtered reservoir will measure the level of acidity and turbidity and then display it on the Blynk application. The results of this study, the water filter can reduce the level of turbidity of water by 0.568 NTU and increase the level of acidity by 0.132. The PH sensor used has an accuracy rate of 93.53%. The Turbidity sensor or turbidity has an average of 1.00 NTU in measuring clean water (Aqua).
Epilepsy Classification Using Support Vector Machine with Frequency Domain Feature Extraction Hindarto Hindarto; Ade Eviyanti; Ahmad Ahfas; Egha Arya Affandi
Jurnal Elektronika dan Telekomunikasi Vol. 26 No. 1 (2026)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.797

Abstract

Epilepsy is a brain-related condition characterized by abnormal electrical activity in the brain. This condition can be identified by observing EEG signals, which record the brain's electrical activity. Automatically detecting seizures using EEG signals helps doctors diagnose the condition more quickly and accurately. In this study, a method is proposed that uses a Support Vector Machine (SVM) to classify EEG signals. The features used for classification are extracted from the frequency domain using a technique called Fast Fourier Transform (FFT). The dataset used is called the UCI Epileptic Seizure Recognition Dataset, which includes 11,500 EEG samples divided into five classes. These samples are then categorized into two main types: seizures and non-seizures. The research process includes data preprocessing with MinMaxScaler normalization, feature extraction using FFT, and data classification using SVM with varying numbers of features. Model performance is measured using several metrics, including accuracy, precision, recall, F1 score, and ROC-AUC. The results showed that the use of 21 features with the SVM model provided the best performance, with an accuracy of 97.7%, a precision of 93.2%, a recall of 95.4%, an F1 score of 94.3%, and an AUC value of 0.9930. These results are better than previous studies using similar methods, indicating that the combination of FFT and SVM is effective for detecting epilepsy using EEG signals. These findings help build a more reliable system for medical diagnosis and highlight the importance of using balanced evaluation measures in healthcare.
Co-Authors A'rasy Fahruddin Ade Efiyanti Ade Eviyanti Adriana Anteng Anggorowati Agus Hayatal Falah Ahmad Rifandi Aji, Eka Afdi Septiyono Ananda, Safira Dea Arena, Ghinnata Alsyah Arief Wisaksono Aryanto, Dedy Ayu Eryani, Rambu Dewi Handayani Untari Ningsih Dwi Hadidjaja Rasjid Saputra Egha Arya Affandi Fajar Rafli Falah, Agus Faris, Faisal Haikal, Hikam Haji, Shon Hani Setyaputri, Nabila Hidayah, Nabilah Lailiyatul Hindarto Indah Sulistiyowati Indah Sulistyowati, Indah Izza Anshory Jamaaluddin Marzuki, Taufik Mohammad Amar Juliyanto Muhammad Alamsyah Mulyadi Mulyadi Nanggala, Dikas Pandu Putra, Wijaya Al Hadad Sudjono R.S, Dwi Hadidjaja R.S, R. Dwi Hadidjaja R.S., Dwi Hadidjaja Rachmadira Putri, Kania Rachmat Firdaus Ramadhan, Hanif Ramadhan, Mochammad Derian Septiyan, Moch. Dani Shazana Dhiya Ayuni Surya Mahendra Syahrorini, Syamsudduha Tirta, Ivan Danu Vicky Saifudin N, Muhamad Zaenal, Ali