Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Justek : Jurnal Sains Dan Teknologi Jurnal Perjuangan dan Pengabdian Masyarkat: JPPM
Lestari, Cyndi
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Improving Artificial Intelligence (AI) Literacy Through Digital Training for Teachers of SMPN 2 East OKU Regency Fatimah, Siti; Lestari, Inda; Lestari, Cyndi; Milatul Husniyah, Dini; Putri Larita, Nadia; Firdaus, Thoha
Jurnal Perjuangan dan Pengabdian Masyarakat: JPPM Vol. 1 No. 3 (2025): 30 September 2025
Publisher : Universitas Pejuang Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This training aims to enhance artificial intelligence (AI) literacy among junior high school teachers at SMP Negeri 2 OKU Timur through a participatory and hands-on approach. The program was motivated by the low level of understanding and utilization of AI technology in schools, especially in non-urban areas. The implementation method included needs assessment, material delivery, practical use of AIPRM-GPT, Gamma, and inVideo applications, and evaluation through pretest and posttest. The results showed an increase in participants' understanding of AI concepts and applications, as indicated by an improvement in scores from an average of 2.7–3.7 to 3.2–4.0. The training also provided reflective and collaborative experiences for both participants and the implementation team. The implications of this activity indicate that AI training can drive digital transformation in schools and enhance the competencies of teachers and students as change agents.
Increasing Artificial Intelligence Literacy (AI) Through Digital Training for Teachers SMPN 2 Kabupaten OKU Timur Fatimah, Siti; Lestari, Inda; Lestari, Cyndi; Husniyah, Dini Milatul; Larita, Nadia Putri; Firdaus, Thoha
Jurnal Perjuangan dan Pengabdian Masyarakat : JPPM Vol. 1 No. 3 (2025): 30 September 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Pejuang Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This training aims to enhance artificial intelligence (AI) literacy among junior high school teachers at SMP Negeri 2 OKU Timur through a participatory and hands-on approach. The program was motivated by the low level of understanding and utilization of AI technology in schools, especially in non-urban areas. The implementation method included needs assessment, material delivery, practical use of AIPRM-GPT, Gamma, and inVideo applications, and evaluation through pretest and posttest. The results showed an increase in participants' understanding of AI concepts and applications, as indicated by an improvement in scores from an average of 2.7–3.7 to 3.2–4.0. The training also provided reflective and collaborative experiences for both participants and the implementation team. The implications of this activity indicate that AI training can drive digital transformation in schools and enhance the competencies of teachers and students as change agents.
Development of an Ultrasonic Pest Repellent System Based on ESP32 and the Internet of Things (IoT) Fatimah, Siti; Lestari, Inda; Lestari, Cyndi; Larita, Nadia Putri; Husniyah, Dini Milatul; Sinensis, Arini Rosa; Firdaus, Thoha
Justek : Jurnal Sains dan Teknologi Vol 9, No 1 (2026): March
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v9i1.37949

Abstract

Pest attacks on agricultural land often result in a significant decrease in crop yields. This study aims to develop an IoT-based pest repellent system integrating ultrasonic waves and remote control. The method involves an ESP32 microcontroller, a PIR sensor, and a PAM8403 amplifier with a piezoelectric tweeter. The system was evaluated through laboratory calibration and real-field implementation in East OKU. This device features automatic mode (ultrasonic triggers >20 kHz) and manual mode via the Blynk application. Quantitative results show a maximum detection range of 5 meters with a 110-degree coverage angle. The system achieves a stable 30 kHz output and real-time notifications with an average latency of less than 1 second. IoT integration enables farmers to monitor and control the device remotely, increasing crop protection efficiency in dynamic rice field environments.
Co-Authors Arini Rosa Sinensis Husniyah, Dini Milatul Inda Lestari, Inda Larita, Nadia Putri Milatul Husniyah, Dini Putri Larita, Nadia Siti Fatimah Thoha Firdaus