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All Journal Jurnal Pendidikan Geografi Undiksha Risâlah, Jurnal Pendidikan dan Studi Islam Buletin Ilmiah Litbang Perdagangan International Journal of Management Progress Jambura Early Childhood Education Journal ELFALAKY: Jurnal Ilmu Falak Jurnal Pengabdian kepada Masyarakat Nusantara International Journal Of Science, Technology & Management (IJSTM) Mitra Akademia: Jurnal Pengabdian Masyarakat Jurnal Ekonomi Aktual Indonesian Accounting Research Journal Dharma: Jurnal Pengabdian Masyarakat Smart: Journal of Multidisciplinary Educationa BEGIBUNG: Jurnal Penelitian Multidisiplin International Journal of Geography, Social, and Multicultural Education (IJGSME) Public Health And Medicine Journal (PAMA) Jurnal Manajemen Bisnis dan Kesehatan ETNOPEDAGOGI: Jurnal Pendidikan dan Kebudayaan Jurnal Inovasi Pembelajaran Journal of Industrial Automation and Electrical Engineering
Hastuti
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Flood Early Detection Using Internet of Things Based on Flood-Ramped Areas Alfajri, Tommy Rizky; Habibullah; Hastuti; Elvanny Myori, Dwiprima
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

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Abstract

Indonesia is a tropical country that experiences very high rainfall. Very heavy rainfall is the reason for flooding. During the rainy season, continuous rain causes the volume of water in the river to increase and has the potential to cause flooding in several areas. Therefore, an early flood detection tool is needed as an alarm to detect and monitor the increase in water volume in the river and as a measure of rainfall that occurs by utilizing Internet of Things technology to make it easier for people to obtain information about the flood alert status in the area. This early flood detection tool method uses the JSN-SR04T sensor which is used to measure the water level in the river, the YL-83 sensor which is used to estimate the rainfall that occurs, Telegram as an Internet of Things media, and Solar panels as Off Grid PLTS. After testing and analyzing the early flood detection tool using ESP8266 based on the Internet of Things in flood-prone areas, the conclusion is that the early flood detection tool works well and the results achieved are in accordance with the function and work of the tool
Doorbell monitoring system using ESP32-CAM based on Internet of Things (IoT) Zakaria, Rahman; Dewi, Citra; Hastuti; Ranuharja, Fadli
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

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Abstract

One use of internet of things (IoT) technology is in remote monitoring systems, for example home monitoring systems. One medium that can be used to control an IoT system is a messaging application.  In this research, a doorbell monitoring system using IoT-based ESP32-CAM was designed by connecting the doorbell with the ESP32-CAM. ESP32-CAM is used as a microcontroller that connects all devices. The advantage of the ESP32-CAM is that it has Wi-Fi, Bluetooth, a secure digital (SD) card module, and a camera that is directly embedded on the board. The doorbell and ESP32-CAM are connected to each other with the door lock solenoid and power supply. To operate the tool, a Telegram messaging application is used using Telegram's bot. Telegram bots can be accessed with a bot ID and bot token created using BotFather. This system has no noise when the doorbell is pressed. The ESP32-CAM camera can take good quality images and testing on the chat bot went well. The door lock solenoid can work according to commands in the Telegram chat bot and all commands have been tested and provide information in the form of chat in the form of text and images. The research results of this system allow homeowners to see and monitor guests via smartphone in real-time with a time range of 3 to 6 seconds
Prototype of smart parking system for Bukittinggi city parking buildings based on Arduino Dwi Yonil, Roland; Hastuti; Dewi, Citra; Sardi, Juli
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/qjvada24

Abstract

The parking system currently used in the Bukittinggi City parking building is not effective in managing parking, because it does not provide real-time information about the availability of parking spaces. As a result, use of parking spaces is often suboptimal, with some parking spaces remaining empty while others are full. This research aims to develop and test a system that is able to manage parking availability in real-time to maximize the use of existing space. Test results show that this system functions well and provides accurate results, which is very much needed in a tourist city like Bukittinggi. Overall, this system offers an efficient and practical solution to overcome parking challenges in big cities, and has the potential for further development, including integration with automatic payment systems and the use of more sophisticated sensors. This research shows that the Arduino-based Smart Parking system Uno in the Bukittinggi City parking building has succeeded in increasing the efficiency of parking space management. By using components such as push buttons, thermal printers, servo motors, limit switches, and LCD I2C displays, this system provides real-time information about parking availability, making it easier for motorists to find parking spaces quickly
Remote monitoring and watering system for Red Onion Plants through Telegram based on IoT Rahmat, Ahwal; Hastuti
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 1 (2025): Vol 2 No 1 (2025): June 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jp5gdg72

Abstract

Red onion (Allium cepa L.) is an important horticultural commodity in Indonesia that is vulnerable to air pollutants, especially dust and dew that can disrupt the photosynthesis process and trigger diseases such as fusarium wilt. This research aims to design a remote monitoring and watering system based on Internet of Things (IoT) using ESP32-CAM. The system automatically takes images of red onion leaves every morning and sends them to the farmer's Telegram, allowing farmers to analyze leaf conditions and activate remote watering if necessary. This system not only improves monitoring efficiency and decision-making but also reduces excessive pesticide use due to delayed handling. Thus, this system is expected to be an innovative and sustainable solution in supporting smart farming practices for red onions in highland areas. Keywords—Red onion, IoT, ESP32-CAM, Telegram, Monitoring.
Smart belt for the visually impaired to detect obstacles and track position Jiadi, Naufal; Dewi, Citra; Hastuti; Ranuharja, Fadli
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/w648fn97

Abstract

Mobility remains a significant challenge for individuals with visual impairments due to the difficulty in detecting obstacles around them. This study aims to design and develop a Smart Belt to assist visually impaired users by detecting obstacles and tracking their location in real time. The Smart Belt is equipped with a VL53L0X LiDAR sensor to detect frontal obstacles and a NEO-6MV2 GPS module for location tracking. Data collected from the sensors is processed by an ESP32 microcontroller and delivered to the user via a Telegram bot as notifications. Testing results indicate that the device is capable of accurately detecting obstacles and providing vibration alerts, while also successfully transmitting location coordinates to Telegram with satisfactory accuracy. This innovation is expected to enhance the independence and safety of visually impaired individuals in their daily activities
Internet of Things-based fire alarm monitoring system for industrial electrical panels M Fauzi, Zikri Kurnia; Ranuharja, Fadhli; Mukhaiyar, Riki; Hastuti
Journal of Industrial Automation and Electrical Engineering Vol. 2 No. 2 (2025): Vol 2 No 2 (2025): December 2025
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jiaee.v2.i2.pp15-21

Abstract

Industrial electrical panels play a crucial role in electrical systems, particularly in power distribution and electric machine control panels that operate continuously during production processes. However, they also pose a potential fire hazard due to factors such as human error or equipment malfunction, including high temperatures, gas leaks, or undetectable installation errors. This study aims to design a fire alarm monitoring system based on the Internet of Things using an ESP32 microcontroller integrated with a DHT22 temperature and humidity sensor, an MQ-2 gas sensor, and a flame sensor. The research adopts an experimental method. A three-phase distribution panel is used in this study. Based on the test results, sensor data can be displayed in real time through an LCD and the Blynk application, and automatically logged to Google Sheets. The results demonstrate that the system is capable of detecting hazardous conditions and providing early warning alerts via an alarm
Pendampingan Penyusunan Anggaran untuk Keberlanjutan Bisnis UMKM Desa Cigugur Girang Kabupaten Bandung Barat Hastuti; Noer Ridha, Noorsyah Adi; Mauluddi, Hasbi Assidiki; Gunawan, Arwan; Ruhana, Nafisah; Nurmalina, Rina
Mitra Akademia: Jurnal Pengabdian Masyarakat Vol 8 No 3 (2025): Mitra Akademia: Jurnal Pengabdian Masyarakat
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Jakarta

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Abstract

The Community Service Program (PKM) entitled “Budget Planning Assistance for Business Sustainability of MSMEs in Cigugur Girang Village” aims to improve financial literacy and budgeting skills among MSME actors. This program was implemented using a Service Learning approach, integrating training on financial planning, the use of budgeting worksheets, and assistance in preparing operational, cash, and sales budgets. Evaluation results showed a significant improvement in participants’ ability to manage finances, control cash flow, and make more strategic business decisions. Although challenges remain, such as limited digital literacy and resource constraints, the program proved effective in strengthening MSME capacity. This program initiative contributes to empowering MSMEs to achieve business sustainability and competitiveness, while also having a positive impact on the local economy.
Co-Authors Abbas, Fitriani Agustyawati, Dwi Ahmad Mujahid Ahmad Yusuf Alfajri, Tommy Rizky Ali Imran Andy Arya Maulana Wijaya Anggraini, Selvi Anwar Arwan Gunawan Bambang Syaeful Hadi Basithussyarop, M. Basithussyarop Basri Besse Ruhaya Citra Dewi Dwi Yonil, Roland Dyah Respati Suryo Sumunar Edi Widodo, Edi Eka Oktavia Ningsih Elvanny Myori, Dwiprima Fadhli Ranuharja Fadillah, Andi Nurul Firda Sahrani Fitrah Fadillah, Tazkya Habibullah Hasbi Assidiki Mauluddi Isnaneni Jiadi, Naufal Juli Sardi Juniarti , Yenti Katjina, Husna Kharisman Kurniawati, Risa Amalia Kurniawati Lukytawati Anggraeni M Fauzi, Zikri Kurnia Mangindara Mardi Maulana, Harry Fajar Muadsin, Ikrar Muh. Kharisman Muhammad Firdaus MUHAMMAD YUSUF Mukhaiyar, Riki Muslim, Caesar Nastia Naufa Muna, Naufa Noorsyah Adi Noer Ridha Nur Fida, Wa Nur, Syamsir Nurfadhilah Nursida Arif Ode Hamiyati Ramadani, Wa Rahmat, Ahwal Rahmi, Nurul Rais, Muhamad Ranuharja, Fadli Rina Nurmalina Ruhana, Nafisah Saddiah, Aulia Meiliyana Siti Irene Astuti Dwiningrum Sri Wahyuningsi Laiya Sriyani Windarti Sunarli, Wa Ode Suriadi Tampubolon, Bahroin Idris Titi Mildawati Windarti, Sriyani Yudarsat, Andre Putra Yusuf Zakaria, Rahman