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Planning System Gauge Strength Wind Based on the Internet of Things Ari Wibowo, Aziz; Hardyanto, R. Hafid; Wahyu Ciptadi, Prahenusa; Harry Pratisto, Eko
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 3 No. 1 (2024): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v3i1.6221

The wind moves air from place One to somewhere else because there exists a different pressure of air. There are many benefits of wind for creatures living in the world, especially humans among them use wind by fishermen, generators of electricity power wind, and sports flight like kites. Prevention of disaster Because wind only can give warning to minimize casualties and damage in the area that occurs nipple pickaxe namely Anemometer as gauge speed wind. Besides a lot of benefits wind, however own impact bad adverse winds man. This tool is designed To measure the speed of the wind as well as minimize disasters caused by wind. This tool uses the ESP32 microcontroller as the main connected system through device wifi as Anemometer connections and sensors used as gauge strength wind, connected web server with a microcontroller via wifi as an interface for monitoring. Making tools using the data collection method used that is literature study, observation, and interviews. The system development stage consists of analysis, implementation system design as well as testing. Testing on the system is carried out with a test Anemometer sensor in an open area with monitoring using a connected web server with a microcontroller via wifi site testing with exists tool This measuring system design strength wind based on the Internet of Things.

Smart Water Tank Web-based Bekti Nurdiyana, Linda; Wahyu Ciptadi, Prahenusa; Hardyanto, R. Hafid
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 1 No. 2 (2022): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

In this modern era, automatic equipment dominates human life because it can ease the burden of human work. A variety of practical and flexible electronic devices have been created to help people more easily meet their needs. This research designed an automated water tank monitoring system using microcontrollers and utilizing the internet and websites as visualization of monitoring data. This smart water tank consists of pH sensors, turbidity sensors, and TDS sensors. In addition, there is a water level to detect the water level in the reservoir, a solenoid valve as an automatic faucet, and water flow to calculate the discharge of water that fills the reservoir. When tds sensors and turbidity sensors detect water in a bad state it will automatically drain the Tandon. After the water drain is drained, the water level will be detected and then the water pump will automatically turn on. The purpose of this smart water tank is to make it easier for users to monitor the water tank in real time and accurately. The results of the test were carried out that every time the water detects turbidity levels above 25 NTu and Tds above 1000 mg / l then the water will be automatically wasted even though the reservoir is in full condition. The test results also proved the system is able to work by sending water data and displaying it on the web www.tandonair.online.

Design Build a Spider Robot Detector Fire Arduino based Furqon, M. Hafizul; Wahyu Ciptadi, Prahenusa; Hardyanto, R. Hafid; Pratisto, Eko Harry
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 1 No. 2 (2022): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Fire is an event that is not desired by every human being. Fires can cause significant losses, both material and life losses. Every fire process always causes a fire in a place or room where a fire occurs. A fire that is still not too big can be detected using a robot. Detection of the source of the fire in the kitchen room is still difficult because it is not yet known by the occupants of the house who are in another room or outside the house. Residents of the house have difficulty finding hotspots that are still small, so a robot is needed that can detect the presence of these hotspots. One of the robots that can be applied in this situation is the spider robot. This study aims to implement fire sensor technology to detect fire using Arduino. Methods of data collection using literature study and observation. The application development phase includes analysis, system design, implementation, and testing. This program is implemented using ultrasonic sensors, wi-fi modules, servos, and fire sensors. Ultrasonic sensors as a protection system from robots and IR flame sensors as sensors to detect fire. The spider robot can detect fire and provide warnings through sound alarms and can provide notifications via messages in the WhatsApp application. The fire detection robot made can detect a fire by notifying WhatsApp messages and alarms when the robot detects fire. The test results show the tool can run well. This can be proven by the value of the test results that have been carried out

Pengenalan Ekspresi Wajah untuk Mendeteksi Ketertarikan Siswa Sekolah Dasar dalam Mata pelajaran Menggunakan Metode CNN (Convolutional Neural Network) Syah, Firdiyan; Hastono, Tri; Fairuzabadi, Muhammad; Wahyu Ciptadi, Prahenusa; Warniasih, Kristina
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 3 (2025): JPTI - Maret 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.724

Efektivitas pembelajaran sangat dipengaruhi oleh tingkat ketertarikan siswa terhadap materi yang disampaikan. Salah satu indikator ketertarikan siswa yang dapat diamati adalah ekspresi wajah mereka selama proses pembelajaran. Namun, pengamatan manual oleh pendidik sering kali kurang akurat dan tidak konsisten. Oleh karena itu, pengenalan ekspresi wajah berbasis teknologi menjadi alternatif yang potensial untuk memantau dan menganalisis ketertarikan siswa secara objektif dan real-time. Penelitian ini menggunakan algoritma deep learning untuk mendeteksi ekspresi wajah siswa dan mengklasifikasikannya ke dalam kategori ketertarikan. Data diambil dari video pembelajaran yang direkam di lingkungan kelas. Model convolutional neural network (CNN) digunakan untuk ekstraksi fitur wajah, sementara algoritma klasifikasi emosi diterapkan untuk mengenali ekspresi yang relevan. Dataset pelatihan dan pengujian berupa gambar yang di photo kemudian di proses untuk menentukan ekspresi wajah siswa yang dan diberi label berdasarkan tingkat ketertarikan. Hasil penelitian menunjukkan bahwa model deep learning yang dikembangkan memiliki tingkat akurasi yang baik dalam mengenali ekspresi wajah siswa terkait ketertarikan. Model ini berhasil mendeteksi perubahan ekspresi secara konsisten dalam berbagai kondisi pencahayaan dan sudut pandang kamera. Dengan hasil ini, sistem yang diusulkan memiliki potensi untuk diimplementasikan sebagai alat pendukung dalam meningkatkan kualitas pembelajaran berbasis teknologi dapat mendukung dalam menentukan metode mengajar yang tepat.

System Monitoring Consumption Household Electrical Energy IOT Based Jifa Astrawarna, Iqbal; Hardyanto, R. Hafid; Wahyu Ciptadi, Prahenusa; Mohd Nawi, Mohd Nasrun
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 1 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i1.7610

Energy electricity used in a way Keep going continuously cause waste energy, while in development energy alternative need time so long that needed effort in savings energy with system new that can in a way direct applied public For save usage energy electricityMonitoring magnitude electricity distance Far or online need done use know condition real from A system power electricity. Monitoring must give information in a way complex the SMART concept (Specific, Measurable, Attainable, Relevant, Time-bound), namely specific, measurable, achievable attainable, relevant, and in range time Household Energy Consumption Monitoring System Based on Internet of Things (IoT) is an innovative solution to optimize energy management in household environments. This study aims to design and implement a system that utilizes IoT technology to measure, monitor, and analyze energy consumption on electronic devices in households.

Smart Water Tank Web-based Bekti Nurdiyana, Linda; Wahyu Ciptadi, Prahenusa; Hardyanto, R. Hafid
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 1 No. 2 (2022): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v1i2.4643

In this modern era, automatic equipment dominates human life because it can ease the burden of human work. A variety of practical and flexible electronic devices have been created to help people more easily meet their needs. This research designed an automated water tank monitoring system using microcontrollers and utilizing the internet and websites as visualization of monitoring data. This smart water tank consists of pH sensors, turbidity sensors, and TDS sensors. In addition, there is a water level to detect the water level in the reservoir, a solenoid valve as an automatic faucet, and water flow to calculate the discharge of water that fills the reservoir. When tds sensors and turbidity sensors detect water in a bad state it will automatically drain the Tandon. After the water drain is drained, the water level will be detected and then the water pump will automatically turn on. The purpose of this smart water tank is to make it easier for users to monitor the water tank in real time and accurately. The results of the test were carried out that every time the water detects turbidity levels above 25 NTu and Tds above 1000 mg / l then the water will be automatically wasted even though the reservoir is in full condition. The test results also proved the system is able to work by sending water data and displaying it on the web www.tandonair.online.

Design Build a Spider Robot Detector Fire Arduino based Furqon, M. Hafizul; Wahyu Ciptadi, Prahenusa; Hardyanto, R. Hafid; Pratisto, Eko Harry
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 1 No. 2 (2022): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v1i2.4644

Fire is an event that is not desired by every human being. Fires can cause significant losses, both material and life losses. Every fire process always causes a fire in a place or room where a fire occurs. A fire that is still not too big can be detected using a robot. Detection of the source of the fire in the kitchen room is still difficult because it is not yet known by the occupants of the house who are in another room or outside the house. Residents of the house have difficulty finding hotspots that are still small, so a robot is needed that can detect the presence of these hotspots. One of the robots that can be applied in this situation is the spider robot. This study aims to implement fire sensor technology to detect fire using Arduino. Methods of data collection using literature study and observation. The application development phase includes analysis, system design, implementation, and testing. This program is implemented using ultrasonic sensors, wi-fi modules, servos, and fire sensors. Ultrasonic sensors as a protection system from robots and IR flame sensors as sensors to detect fire. The spider robot can detect fire and provide warnings through sound alarms and can provide notifications via messages in the WhatsApp application. The fire detection robot made can detect a fire by notifying WhatsApp messages and alarms when the robot detects fire. The test results show the tool can run well. This can be proven by the value of the test results that have been carried out

Planning System Gauge Strength Wind Based on the Internet of Things Ari Wibowo, Aziz; Hardyanto, R. Hafid; Wahyu Ciptadi, Prahenusa; Harry Pratisto, Eko
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 3 No. 1 (2024): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v3i1.6221

The wind moves air from place One to somewhere else because there exists a different pressure of air. There are many benefits of wind for creatures living in the world, especially humans among them use wind by fishermen, generators of electricity power wind, and sports flight like kites. Prevention of disaster Because wind only can give warning to minimize casualties and damage in the area that occurs nipple pickaxe namely Anemometer as gauge speed wind. Besides a lot of benefits wind, however own impact bad adverse winds man. This tool is designed To measure the speed of the wind as well as minimize disasters caused by wind. This tool uses the ESP32 microcontroller as the main connected system through device wifi as Anemometer connections and sensors used as gauge strength wind, connected web server with a microcontroller via wifi as an interface for monitoring. Making tools using the data collection method used that is literature study, observation, and interviews. The system development stage consists of analysis, implementation system design as well as testing. Testing on the system is carried out with a test Anemometer sensor in an open area with monitoring using a connected web server with a microcontroller via wifi site testing with exists tool This measuring system design strength wind based on the Internet of Things.

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