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All Journal Journal of Electrical Engineering and Computer (JEECOM) COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi
Luluk Suhartini
Universitas Annuqayah
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Mechanical Engineering Transportation

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Application of K-Means Clustering to Group Islamic Boarding School Students' Kitab Kuning Reading Proficiency Based on Nahwu and Sharraf Luluk Suhartini; M. Burhanis Sulthan
COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Vol 7, No 1 (2026): Sustainable Information Technology Innovation Supports a Digital-Based Smart Eco
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/coreai.v7i1.15769

Abstract

The ability to read classical Islamic texts (kitab kuning) is an important indicator for assessing students' mastery of Islamic sciences in Salafiyah Islamic boarding schools. However, the assessment of kitab kuning reading proficiency is often still conducted conventionally and tends to be subjective; therefore, a data-driven approach is needed to support a more objective student-grouping process. This study aims to apply the K-Means Clustering algorithm to group students based on their Nahwu and Sharraf scores as indicators of kitab kuning reading proficiency. The research methods included observation, interviews, literature review, data transformation, normalization using Min-Max Normalization, and clustering using Microsoft Excel and RapidMiner. The dataset consisted of 376 student records with the attributes of age, education level, Nahwu score, and Sharraf score. Manual grouping using Microsoft Excel produced three clusters: C1 with 57 students, C2 with 244 students, and C3 with 75 students. Meanwhile, the RapidMiner results showed C1 with 56 students, C2 with 244 students, and C3 with 76 students. The results indicate that K-Means can be used as a basis for grouping students' abilities in a more structured manner.
Design and Development of an IoT-Based Household Electrical Energy Monitoring Application for Energy Efficiency Luluk Suhartini; Fadila Fadila
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 1 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i1.16648

Abstract

Electricity consumption in households is often not properly controlled, which can lead to energy waste and higher electricity bills. Therefore, a system is needed to monitor household electricity usage in real time and provide users with clear information to help them take energy-saving actions. This study designs and develops an Internet of Things (IoT)-based household electricity monitoring application using a PZEM-004T sensor connected to a NodeMCU ESP8266 microcontroller. The measured data, including voltage, current, power, and energy consumption, are transmitted wirelessly to a server and displayed on a custom web-based dashboard without relying on third-party IoT platforms. The application features real-time monitoring and historical consumption records, enabling users to track energy usage trends. Test results show that the system can measure and display data accurately with an average transmission delay of 1–2 seconds, and it helps identify energy-intensive household appliances. Thus, this application can be an effective solution to improve energy efficiency in households.
Co-Authors Fadila Fadila M. Burhanis Sulthan