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All Journal Jurnal Informatika dan Teknik Elektro Terapan ITEj (Information Technology Engineering Journals) Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat Journal Electronic Logic Power Technology
Ariwibowo, Muhamad Riyad
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Mathematics Public Health Social Sciences

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IoT- Based Smart Security System Using Infrared Sensor as Motion Detector Ariwibowo, Muhamad Riyad; Juhaeriyah, Juju; Nugroho, Edo Agung; Mutaqim, Rendi
ITEJ (Information Technology Engineering Journals) Vol 8 No 1 (2023): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i1.109

Abstract

Today’s security system requires the support of new technology to make it easier to monitor remotely and maintain valuables stored at home in real time. Internet of things technology has now been widely developed with various types of electronic components applied. So, from these problems providing innovation with the development of a remote security system applied to the FC-51 infrared sensor and ESP8266 as it’s control. The infrared sensor receives input signals in the form of objects detected and received by ESP8266 to be sent information to the server to be notified of messages from the Blynk platform to mobile devices. The results of this study prove, that the smart security system with IoT – based infrared sensor is able to detect the optimal distance obtained < 30cm and the shape of different objects determines the level of accuracy of the sensor.
SISTEM PEMANTAU KELEMBAPAN TANAH DAN DEBIT AIR PADA TANAMAN CABAI MENGGUNAKAN ESP32 BERBASIS INTERNET OF THINGS Ariwibowo, Muhamad Riyad; Setiawan, Lutvi Aji; Iman, Alamul
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6382

Abstract

Penelitian ini menerapkan sensor kelembapan tanah untuk mendeteksi kelembapan tanah dan debit air yang dikonsumsi pada tanaman cabai secara jarak jauh. Menjaga kondisi kelembapan tanah menjadi proses utama dalam pemantauan pada kadar air tanaman. Sehingga, diperlukan pemantauan debit air untuk mengetahui kebutuhan air yang diberikan untuk tanaman cabai setiap harinya. Dalam hal ini, sensor flow meter berperan untuk mendeteksi air yang mengalir setiap yang dibutuhkan oleh tanaman cabai. Sehingga, ESP32 mengirimkan informasi kelembapan tanah dari tanaman cabai melalui sensor soil moisture. Sensor flow meter berhasil memberikan hasil pemantauan debit air sebesar 14.83 mililiter/detik dengan kelembapan rata – rata 59% pada pH 7.1. Dengan menerapkan teknologi Internet of Things ini mampu memberikan penghematan waktu bagi para petani maupun masyarakat yang hobi menanam cabai
SISTEM PEMANTAU KELEMBAPAN TANAH DAN DEBIT AIR PADA TANAMAN CABAI MENGGUNAKAN ESP32 BERBASIS INTERNET OF THINGS Ariwibowo, Muhamad Riyad; Setiawan, Lutvi Aji; Iman, Alamul
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6382

Abstract

Penelitian ini menerapkan sensor kelembapan tanah untuk mendeteksi kelembapan tanah dan debit air yang dikonsumsi pada tanaman cabai secara jarak jauh. Menjaga kondisi kelembapan tanah menjadi proses utama dalam pemantauan pada kadar air tanaman. Sehingga, diperlukan pemantauan debit air untuk mengetahui kebutuhan air yang diberikan untuk tanaman cabai setiap harinya. Dalam hal ini, sensor flow meter berperan untuk mendeteksi air yang mengalir setiap yang dibutuhkan oleh tanaman cabai. Sehingga, ESP32 mengirimkan informasi kelembapan tanah dari tanaman cabai melalui sensor soil moisture. Sensor flow meter berhasil memberikan hasil pemantauan debit air sebesar 14.83 mililiter/detik dengan kelembapan rata – rata 59% pada pH 7.1. Dengan menerapkan teknologi Internet of Things ini mampu memberikan penghematan waktu bagi para petani maupun masyarakat yang hobi menanam cabai
Design of Irrigation System Based on Arduino Uno Using Soil Moisture Sensor Ariwibowo, Muhamad Riyad
Journal ELPER-Tech (Electronic Logic Power- Technology) Vol 1 No 1 (2025): ELPER-Tech Vol. 1 No. 1 March 2025
Publisher : Electrical Engineering Departement, Faculty of Engineering, Universitas Swadaya Gunung Jati

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Abstract

Water needs are very necessary for the agricultural sector in caring for plants properly. However, in the management process, farmers have a watering time that is not tools used to help farmers’ performance. With automatic irrigation system technology, farmers can take advantage of solutions to make it easier to care for plants. The automatic irrigation system utilizes and Arduino Uno based soil moisture sensor as a soil moisture detector. Soil moisture sensors are tested for soil moisture in dry, slightly moist, wet and mossy soil conditions. The test results show that the sensor can read the condition of soil moisture < 60%, then the waterpump does not move and does not water automatically, otherwise if the soil moisture > 60% will work automatically with the average soil moisture produced after watering by 61% and obtain a neutral pH.
Pelatihan Peningkatan Kompetensi AI Guru SD Melalui Pendekatan TPACK-AI Putri, Dian; Kurnia, Maya Dewi; Taryo; Ariwibowo, Muhamad Riyad; Wulandari, Rindi
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 1 (2026): Februari
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v5i1.422

Abstract

This community service program aimed to enhance elementary school teachers' competence in integrating Artificial Intelligence (AI) into their pedagogical practices through the TPACK-AI framework. Conducted at SD Mitra in Cirebon City from August to September 2025, the program involved 10 certified teachers (7 female, 3 male) through a 5-week structured intervention consisting of preparation, intensive training, guided implementation, and evaluation phases. Using a quasi-experimental pre-post test design, data were collected through validated competency assessments, classroom observations, digital portfolios, and focus group discussions. Results showed significant improvements across four competency dimensions: conceptual understanding (from M=62.4 to M=86.7), technical skills in operating AI platforms (from M=58.3 to M=88.2), digital content creation abilities (from M=54.6 to M=84.5), and pedagogical integration capacity (from M=51.2 to M=82.8). Participant satisfaction averaged 4.52/5.0, indicating high program effectiveness. However, challenges persisted including unstable internet access (30%), time constraints (40%), and limited institutional support (20%). The program demonstrated that structured, hands-on training combined with guided implementation effectively transforms teaching practices, contributing to national digital literacy efforts in education
Co-Authors Alamul Iman Dian Putri, Dian Juju Juhaeriyah Kurnia, Maya Dewi Mutaqim, Rendi Nugroho, Edo Agung Setiawan, Lutvi Aji Taryo Wulandari, Rindi