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Advanced digital competency assessment of vocational teachers': A new approach based on fuzzy-analytical hierarcy process Ramadhan Islami, Aditya; Abdullah, Ade Gafar; Widiaty, Isma; Yulia, Cica; Lukman Hakim, Dadang; Handoko, Erfan; Subekti, Eri; Rahmawati, Sherly
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp2781-2795

Abstract

Teachers need digital competence to adapt easily to the current digital era. This study tries to discover the perceptions of vocational high school (VHS) teachers in Indonesia related to advanced digital competencies, which include information, communication, content creation, digital security, and problem-solving competencies. The multi-criteria Analytical Hierarchy Process (AHP) problem-solving method is used to rank the priority digital competencies that are most mastered by the respondents, and then their performance is validated by the fuzzy AHP artificial intelligence-based method. A poll was conducted with 392 respondents, with the research instrument adopting the digital competency measurement platform from DigComp. The study's results show that the fuzzy AHP method has proven that the classical AHP method is a very good way to prioritize VHS teachers' digital skills based on several factors. The two methods gave almost identical results in determining the priority order of VHS teacher digital competencies. The survey results reveal that VHS teachers in Indonesia must immediately develop their skills in terms of digital content creation and digital security. Teachers, teacher professional organizations, and decision-makers are expected to use the findings of this study as a reference in implementing VHS teacher digital competency improvement trainings.
Simulasi Disturbance Observer pada Sistem Kendali Aliran Cairan Berbasis Mikrokontroler Irawan Saputra, Dede; Lukman Hakim, Dadang
EPSILON: Journal of Electrical Engineering and Information Technology Vol 22 No 2 (2024): Journal of Electrical Engineering and Information Technology
Publisher : Department of Electrical Engineering, UNJANI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/epsilon.v22i2.122

Abstract

This research discusses the design and implementation of a PID controller-based liquid flow control system equipped with a Disturbance Observer (DOB). The system is designed to compensate for the influence of external disturbances that can interfere with control performance. The design process starts with modeling the system dynamics using mathematical equations, followed by designing a PID controller to regulate the flow according to the desired setpoint. The DOB is designed by utilizing the inverse model of the system to estimate the disturbances that occur and compensate for their effects on the control signals in real-time. Simulations were conducted to compare the performance of the system with and without DOB in the face of disturbances. The results show that the system with DOB has better performance, with more stable response, faster recovery time, and smaller steady-state error than the system without DOB. This confirms the effectiveness of DOB in improving the robustness of the control system against external disturbances.
AIoT-Based Soil Moisture Monitoring System for Precision Agriculture and Energy Efficiency in Rural Smart Villages Mandasari, R Deasy; Adrian, Ronald; Kustiawan, Iwan; Alam, Sahirul; Lukman Hakim, Dadang; Wahyudin, Didin
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 3 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i3.217-225

Abstract

Alamendah Village is a horticultural area where irrigation and energy use are still managed manually, leading to water inefficiency and unmonitored electricity consumption. This study developed an AIoT-based system using ESP32 microcontrollers and soil moisture sensors to support precision irrigation and energy monitoring. The system design included sensor calibration to convert ADC values into moisture percentages, threshold-based irrigation recommendations, and a placement formula to determine sensor deployment. Field testing in strawberry plots demonstrated that soil moisture often dropped below the 40% threshold, triggering timely irrigation alerts. The dashboard provided real-time data visualization and revealed peak electricity demand in the evening at the village hall. The results indicated that the system enhanced irrigation accuracy, provided a baseline for monitoring energy consumption, and increased community awareness of sustainable resource management. The project offers a replicable model for integrating smart agriculture and energy monitoring in rural areas.