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A Critical Study on Educational Management Practices in Supporting the Independent Curriculum at the Junior High School Level in Luwuk District, Banggai Regency Ilham, M. Jayadin; Ahmadin, Ahmadin; Sahi, Yayan; Noprianto, Noprianto
Jambura Journal Civic Education Vol 5, No 2 (2025): Vol.5 No.2 November 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jacedu.v6i2.33732

Abstract

This study aims to critically examine educational management practices in supporting the implementation of the Merdeka Curriculum (Independent Curriculum) at the junior high school level in Luwuk District, Banggai Regency. 21st-century education demands a fundamental transformation in school governance, where educational management must be not only administrative but also transformative. Using a qualitative approach and survey method, this study collected data through open questionnaires, field observations, and in-depth interviews with purposively selected school principals, teachers, and education personnel. The findings reveal that the success of the Merdeka Curriculum implementation is strongly influenced by three key dimensions: visionary and adaptive school leadership, teacher involvement in lesson planning and evaluation, and active community participation in school activities. However, the study also identifies several major challenges, including inadequate teacher training, high administrative burdens, limited digital literacy, lack of learning infrastructure, and weak external partnerships. Overall, this research affirms that the effectiveness of the Merdeka Curriculum is largely determined by the readiness of human resources and the quality of school management. The results of this study are expected to serve as a foundation for formulating contextual, sustainable, and learner-centered management strategies.
Traffic Density Prediction using IoT-based Double Exponential Smoothing Asmara, Rosa Andrie; Noprianto, Noprianto; Ilmy, Muhammad Ainur, State Polytechnic of Malang; Arai, Kohei
Knowledge Engineering and Data Science
Publisher : citeus

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

Abstract

The number of vehicles and currents that tend to increase causes traffic density. A system is proposed to calculate the number of vehicles and predict real-time traffic density. This research uses Haar Cascade to detect the number of cars and motorcycles and the Double Exponential Smoothing (DES) for forecasting the number of vehicles on the road. MAPE describes forecasting accuracy as a base for selecting the best smoothing constant (Alpha). The best test results from June 13 to 20, 2020, are cars on June 14, 2020 (alpha 0.5, MAPE 0%) and Motorcylecycles on June 18, 2020 (alpha 0.5, MAPE 0.1134% ). The most significant MAPE results of the car were on June 15, 2020, with alpha 0.5 and MAPE 2.1073%. The 3 minutes haar cascade detects 72.58% of cars and 81.90% of motorcycles.