Article Per Year (5 Year)
p-Index From 2021 - 2026
3.453
P-Index
This Author published in this journals
All Journal ELINVO (Electronics, Informatics, and Vocational Education) INOVTEK Polbeng - Seri Informatika ILKOM Jurnal Ilmiah Seminar Nasional Pengabdian Kepada Masyarakat Internet of Things and Artificial Intelligence Journal Seminar Nasional Hasil Penelitian LP2M UNM Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Journal of Computers, Informatics, and Vocational Education
Abdul Wahid
Universitas Negeri Makassar
Religion Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
E-Presence and Monitoring System Based on Face Image Recognition with Local Binnary Pattern Histogram (LBPH) Algorithm Nurhikma; Abdul Wahid; Jumadi M Parenreng
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 1 (2024): March 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i1.556

Abstract

Abstract : There are still many attendance systems that are done manually, and some still use paper as an attendance tool. So it is not effective because the data from attendance is easy to manipulate. The purpose of this study is to create attendance by using web-based facial recognition so as to produce e-presence. The accuracy rate of facial sensitivity obtained by this researcher is 90%. This researcher uses the LBPH method to determine the level of accuracy of various lighting conditions. Researchers analyzed two samples, each of which had a different level of accuracy. For the error rate in recognizing faces as unknown (FRR), all are 100% with a duration of 1 minute each. The conclusion of this study is to use more dataset facial images and a bright level of brightness to make it easier to recognize face
Implementation of Automated Intelligent Irrigation and Fertilization System Based on the Internet of Things for Home Wine Hobbyists Muh. Azfa Azra; Jumadi M. Parenreng; Mustari S Lamada; M. Syahid Nur Wahid; Abdul Wahid
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 4 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i4.11207

Abstract

The agricultural sector faces serious challenges due to climate change and rising global food needs, which demand more efficient implementation of water and plant nutrient management. Viticulture, particularly on an urban scale, requires precise irrigation and fertilization arrangements because grapes are very sensitive to water availability and nutrient concentrations at certain growth phases. This research aims to design and implement a prototype of an Internet of Things (IoT)-based Smart Nutrition Irrigation System for home wine hobbyists using the Research and Development (R&D) method. The developed system is able to monitor environmental and soil conditions in real-time and control irrigation and fertilization automatically based on predetermined parameters. The results of the performance evaluation showed that the system had an average response time of ±1–3 seconds from the time the sensor data was received until the actuator was activated. TDS sensors are able to detect changes in the concentration of fertilizer solutions in the range of 0–1200 ppm, thus supporting the quality control of nutrient solutions. The results of functional tests show that the system successfully activates irrigation automatically when soil moisture is below the 75% threshold and runs scheduled fertilization consistently. In addition, the system is able to send real-time monitoring and actuator status notifications through an online application with a 100% message success rate during testing. Overall, the system has been shown to improve the efficiency of water and nutrient management in urban grape cultivation and has the potential to be further developed on a larger scale and applied to precision agriculture
Telegram bot-based Flood Early Warning System with WSN Integration Abdul Wahid; Jumadi Mabe Parenreng; Welly Chandra Kusumah Kusnandar; Puput Dani Prasetyo Adi; Dendy Mahabror; Ros Sariningrum
ILKOM Jurnal Ilmiah Vol 16, No 2 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i2.1699.151-160

Abstract

Indonesia experiences frequent flooding, with data from the National Disaster Management Agency (BNPB) revealing that floods account for 41% of all natural disasters (1,441 incidents) recorded in 2021. These floods cause significant property damage and casualties. To address this challenge, we have developed a prototype flood early warning system. This system utilizes ultrasonic sensors for real-time water level detection. Sensor data is transmitted to designated personnel through a website interface. Additionally, the system leverages a Telegram bot to deliver flood early warnings directly to the community residing in flood-prone areas. The sensor data comparison test yielded an error rate of only 0.6175% with an average difference of 1 cm, demonstrating the system's accuracy and functionality. Furthermore, a notification test conducted ten times achieved 100% accuracy. The Telegram bot successfully sent text message alerts (alert 1, alert 2, alert 3) with an average delivery time of 4.07 seconds. This prototype offers a promising solution for flood mitigation. By providing real-time water level data and issuing timely alerts via a user-friendly Telegram bot, the system empowers communities to prepare for potential flooding and minimize associated risks.
Co-Authors Abd. Rahman Patta Aminuddin Bakry Anak Agung Istri Sri Wiadnyani Arfianita, Arfianita Asmiyah Auliatna Dendy Mahabror Dinda Hummayra Fathahillah Fathahillah Ganefri . Hajar, Andi Harifuddin Haripuddin . Hentje Ponto I Nyoman Sila Iin Rahmawati Irmawati Irmawati Irmawati Iwan Suhardi Jumadi Mabe Parenreng Jumria M. Syahid Nur Wahid Muh Mujahidin Muh. Azfa Azra Muhammad Agung Muhammad Agung Muhammad Agung Muhammad Fajar B Muhammad Mahdinul Bahar Muhammad Mahdinul Bahar Muhammad Yahya Muharram Muharram Muliadi Muliadi Mulsaida Rhamadani Sarif Nirina Firwana Nurfadilah Hambali Nurhikma Parenreng , Jumadi M Puput Dani Prasetyo Adi Ros Sariningrum Sanatang Seny Luhriyani Sunusi Setialaksana, Wirawan - Suhendar Aji Putra Suhendhar Aji Putra Suyanta Suyanta Syamsinar Usman Mulbar Wahid, M. Syahid Nur Wahyu Hidayat M Welly Chandra Kusumah Kusnandar Yasdin, Yasdin Zulhajji Zulham Abidin Zulkiplih Zulkiplih