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All Journal Jumat Informatika: Jurnal Pengabdian Masyarakat International Journal of Business and Management Technology in Society (IJBMTS)
Hasanah, Nida Ul
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Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other

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Pelatihan Dasar Editing Video dan Desain Grafis Guru PAUD Karangroto Semarang Hasanah, Nida Ul; Ardhani, Muhammad Chabibul; Alhammam, Muhammad Yusron; Sadad, Roihan; Huda, Nuril; Wijayanti, Linda Dwi; Aini, Aniswa Miladi Qurrota; Nikmah, Itiqoul
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2024): Desember
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasif.v5i3.4998

Abstract

Amidst the challenges of technological development facing the world of education today, early childhood education teachers have their challenges where teachers need to choose learning media that can stimulate early childhood interest in learning. With these problems, the efforts made are to provide training in making teaching videos using the Capcut application and making graphic designs using the Canva application. This training aims to simplify and make the learning process more effective and can make the learning process more interesting for early childhood. Community service activities are carried out using the Participatory Action Research (PAR) approach which focuses on community empowerment. Based on the results of the evaluation of the questionnaire distributed to PAUD teachers, this activity has succeeded in increasing the knowledge and skills of participants, especially PAUD teachers in the basic fields of video editing and graphic design.
Pelatihan Dasar Editing Video dan Desain Grafis Guru PAUD Karangroto Semarang Hasanah, Nida Ul; Ardhani, Muhammad Chabibul; Alhammam, Muhammad Yusron; Sadad, Roihan; Huda, Nuril; Wijayanti, Linda Dwi; Aini, Aniswa Miladi Qurrota; Nikmah, Itiqoul
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2024): Desember
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasif.v5i3.4998

Abstract

Amidst the challenges of technological development facing the world of education today, early childhood education teachers have their challenges where teachers need to choose learning media that can stimulate early childhood interest in learning. With these problems, the efforts made are to provide training in making teaching videos using the Capcut application and making graphic designs using the Canva application. This training aims to simplify and make the learning process more effective and can make the learning process more interesting for early childhood. Community service activities are carried out using the Participatory Action Research (PAR) approach which focuses on community empowerment. Based on the results of the evaluation of the questionnaire distributed to PAUD teachers, this activity has succeeded in increasing the knowledge and skills of participants, especially PAUD teachers in the basic fields of video editing and graphic design.
Daily Power Plant Operation Prediction Using Adaptive Filter Based on Wavelet Symlet Kartikasari, Milla; Hasanah, Nida Ul; Yunita, Widya
International Journal of Business and Management Technology in Society Vol. 3 No. 1: June 2025
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v3i1.5073

Abstract

Purpose – This study aims to develop an accurate method for predicting the daily operation of power plants to support optimal scheduling of generation and maintenance activities. Methodology – An adaptive filter based on wavelet symlet (adaplet) is applied using the Normalized Least Mean Square (NMLS) algorithm. The model adjusts its coefficients dunamically based on historical operational data to minimize prediction error. Findings – The method was tested on Indonesian power plant operation data and achieved a Mean Square Error (MSE) of 0.079. Segment-based evaluation confirmed the model’s ability to provide consistent prediction accuracy across different time frames. Originality – This research introduces a novel approach by combining wavelet symlet and adaptive filtering in the context of power plant operation prediction, which allows accurate forecasting using limited data. Research limitations – The study focuses on short-term prediction (up to 3 days ahead) and does not include external influencing factors such as weather or system demand. Only the NLMS algorithm was utilized, without comparison to other adaptive methods. Practical implications – The proposed method enables operators to generate more accurate and reliable schedules, improving overall system performance and reducing outage risks. Social implications – Enhancing the reliability of power plant operations contributes to a more stable electiricty supply, indirectly supporting public services and economic activities.
Co-Authors Aini, Aniswa Miladi Qurrota Alhammam, Muhammad Yusron Ardhani, Muhammad Chabibul Kartikasari, Milla Nikmah, Itiqoul Nuril Huda Sadad, Roihan Wijayanti, Linda Dwi Yunita, Widya