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All Journal International Journal of Electrical and Computer Engineering Martabe : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science IJECS: Indonesian Journal of Empowerment and Community Services
Sari Widya Sihwi
Universitas Sebelas Maret
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Electrical & Electronics Engineering Health Professions Public Health Social Sciences

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News classification using light gradient boosted machine algorithm Muhammad Hatta Rahmatul Kholiq; Wiranto Wiranto; Sari Widya Sihwi
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 1: July 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i1.pp206-213

Abstract

News classification is a complex issue as people are easily convinced of misleading information and lack control over the spread of fake news. However, we ca n break the problem of spreading fake news with artificial intelligence (AI), which has developed rapidly. This study proposes a news classification model using a light gradient boosted machine (LightGBM) algorithm. The model is analyzed using two feature extraction techniques, count vectorizer and Tfidf vectorize r and compared with a deep learning model using long - short term memory (LSTM). The experimental evaluation showed that all LightGBM models outperform LSTM. The best model is the count vectorizer Li ghtGBM, which achieves an accuracy value of 0.9933 and an area under curve (AUC) score of 0.9999.
Speech emotion recognition using 2D-convolutional neural network Fauzivy Reggiswarashari; Sari Widya Sihwi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp6594-6601

Abstract

This research proposes a speech emotion recognition model to predict human emotions using the convolutional neural network (CNN) by learning segmented audio of specific emotions. Speech emotion recognition utilizes the extracted features of audio waves to learn speech emotion characteristics; one of them is mel frequency cepstral coefficient (MFCC). Dataset takes a vital role to obtain valuable results in model learning. Hence this research provides the leverage of dataset combination implementation. The model learns a combined dataset with audio segmentation and zero padding using 2D-CNN. Audio segmentation and zero padding equalize the extracted audio features to learn the characteristics. The model results in 83.69% accuracy to predict seven emotions: neutral, happy, sad, angry, fear, disgust, and surprise from the combined dataset with the segmentation of the audio files.
PENINGKATAN LITERASI DIGITAL MANAJEMEN CONTENT MANAGEMENT SYSTEM BERBASIS WORDPRESS UNTUK MENCEGAH SERANGAN JUDI GACOR PADA WEBSITE PORTAL ORGANISASI PERANGKAT DAERAH Winarno Winarno; Bambang Harjito; Wiranto Wiranto; Heri Prasetyo; Sari Widya Sihwi
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 6 (2023): martabe : jurnal pengabdian kepada masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i6.2252-2257

Abstract

Maraknya aksi peretasan di Indonesia saat ini terjadi tidak hanya di Lembaga-lembaga besar, namun juga lembaga pemerintah daerah. Salah satu bentuk peretasan yang sangat marak akhir-akhir ini adalah judi gacor pada Content Managemen System(CMS) berbasis Wordpress. Di Kabupaten Karanganyar masih ada 6.180 konten judi gacor yang terlihat di Google. Untuk menanggulangi masalah tersebut diperlukan Langkah praktik baik bagaimana mencegah dan mengelola sebuah CMS berbasis Wordpress agar terhindar dari serangan siber. Pelaksanaan pengabdian berupa workshop mengelola website mulai dari instalasi sampai implementasi. Hasil workshop menunjukkan peningkatan kemampuan peserta yang semula hanya 40% menjadi 80% paham bagaimana mengelola sebuah website yang aman.
PENINGKATAN LITERASI DIGITAL MANAJEMEN CONTENT MANAGEMENT SYSTEM BERBASIS WORDPRESS UNTUK MENCEGAH SERANGAN JUDI GACOR PADA WEBSITE PORTAL ORGANISASI PERANGKAT DAERAH Winarno Winarno; Bambang Harjito; Wiranto Wiranto; Heri Prasetyo; Sari Widya Sihwi
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 6, No 6 (2023): martabe : jurnal pengabdian kepada masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v6i6.2252-2257

Abstract

Maraknya aksi peretasan di Indonesia saat ini terjadi tidak hanya di Lembaga-lembaga besar, namun juga lembaga pemerintah daerah. Salah satu bentuk peretasan yang sangat marak akhir-akhir ini adalah judi gacor pada Content Managemen System(CMS) berbasis Wordpress. Di Kabupaten Karanganyar masih ada 6.180 konten judi gacor yang terlihat di Google. Untuk menanggulangi masalah tersebut diperlukan Langkah praktik baik bagaimana mencegah dan mengelola sebuah CMS berbasis Wordpress agar terhindar dari serangan siber. Pelaksanaan pengabdian berupa workshop mengelola website mulai dari instalasi sampai implementasi. Hasil workshop menunjukkan peningkatan kemampuan peserta yang semula hanya 40% menjadi 80% paham bagaimana mengelola sebuah website yang aman.
Leveraging Generative Artificial Intelligence to Enhance the Quality of Adaptive Learning at the Junior High School Level in Surakarta City Winarno; Heri Prasetyo; Wiranto; Sari Widya Sihwi; Herdito Ibnu Dewangkoro; Tarno; Anik Indriyani
IJECS: Indonesian Journal of Empowerment and Community Services Vol. 7 No. 1 (2026): IJECS: Indonesian Journal of Empowerment and Community Services
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijecs.v7i1.8005

Abstract

ABSTRACT The primary and secondary education curriculum in Indonesia changes almost every year. These changes lead to administrative adjustments in teaching and learning documents. Consequently, teachers tend to spend less time focusing on delivering instructional content and ensuring meaningful student learning, and instead devote substantial effort to reformatting lesson plans (RPP), student activity reports (LKPD), and other administrative documents. In many cases, these documents remain largely unchanged from year to year, with minimal innovation. To address this issue, a more efficient approach is required to enable teachers to innovate in designing instructional materials, lesson plans, student worksheets, and assessment instruments. The aim of this community engagement initiative is to enhance pedagogical and digital literacy in the use of generative AI to assist teachers in drafting learning objectives, structuring classroom activities, generating guiding questions, developing variations in instructional strategies, and producing effective teaching materials tailored to students’ needs. This activity was implemented using the ADDIE framework (Analysis, Design, Development, Implementation, and Evaluation). The results indicate that participants demonstrated a strong understanding of the material and an improvement in their cognitive knowledge. Specifically, 41.67% of participants reported that the material was easy to understand, while 58.33% stated that it was very easy to understand. Furthermore, 75% of participants indicated that the facilitator delivered the material very well, and 25% rated the delivery as good. A recommendation for future initiatives is the need for ongoing support through a post-training mentoring programme to ensure an understanding of the ethical use of generative AI. Keywords: generative AI, education, prompt, adaptif learning.
Co-Authors Anik Indriyani Bambang Harjito, Bambang Fauzivy Reggiswarashari Herdito Ibnu Dewangkoro Heri Prasetyo Muhammad Hatta Rahmatul Kholiq Tarno Winarno Winarno Winarno Wiranto