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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Jurnal Penelitian dan Pendidikan IPS Psikopedagogia SMATIKA Indonesian Journal of Guidance and Counseling: Theory and Application Jurnal Bimbingan dan Konseling Terapan Satya Widya JURNAL KONSELING GUSJIGANG Network Engineering Research Operation [NERO] JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI International Journal of Research in Counseling and Education Jurnal Basicedu Psikologi Konseling: Jurnal Kajian Psikologi dan Konseling EduPsyCouns: Journal of Education, Psychology and Counseling Jurnal Pengabdian Masyarakat Asia Charity : Jurnal Pengabdian Masyarakat PELS (Procedia of Engineering and Life Science) Indonesian Journal Of Educational Research and Review Jurnal Basicedu Mestaka: Jurnal Pengabdian Kepada Masyarakat eProceedings of Engineering Jurnal Pengabdian Masyarakat Bangsa Kelola: Jurnal Manajemen Pendidikan BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural COUNS-EDU: The International Journal of Counseling and Education
Setyorini Setyorini
Institut Teknologi Dan Bisnis Asia Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Implementasi Ant Colony Optimization untuk Routing pada Optimasi Perutean in Network Processing pada Sistem Monitoring Kesehatan Struktur Jembatan Firmansyah Arrozi, M; Setyorini, Setyorini; Adi Putra, Seno
eProceedings of Engineering Vol. 10 No. 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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

Abstract

Abstrak— Structral Health Monitoring System pada umumnya diterapkan pada jembatan untuk memperpanjang usia bangunan tersebut dengan mengidentifikasi kerusakan yang terjadi pada bangunan lebih awal. Structural Health Monitoring System berbasis wireless sensor network pada jembatan lebih diunggulkan karena lebih murah dari segi biaya yang dikeluarkan. Akan tetapi karakteristik sumber daya yang dimiliki oleh wireless sensor network itu terbatas. Sehingga diperlukan efesiensi dalam konsumsi energi pada wireless sensor network. Salah satunya adalah dengan menggunakan perutean yang optimal untuk mengirimkan data dari sensor node menuju ke sink node. Hal tersebut dimaksudkan untuk memiminimalkan konsusi energi pada wireless sensor network. Dikarenakan banyaknya sensor node yang harus diproses dan pengolahan datanya dilakukan pada setiap sensor node. Algoritma ant colony optimization merupakan salah satu dari beberapa algoritma optimasi yang bisa dipilih untuk melakukan perutean secara optimal. Hasil dari implementasi algoritma ACO dilakukan pada beberapa skenario pengujian dan dibandingkan dengan algoritma genetika. Hasil pengujian yang diperoleh menunjukkan bahwa algoritm ACO dan GA memiliki hasil yang hampir sama. Dan didapatkan performa algoritma ACO yang telah diimplementasikan untuk WSN pada Structural Health Monitoring System.Kata Kunci— optimasi perutean, wireless sensor network, ant colony optimization, metaheuristik, structural health monitoring system.
Analysis of feature reduction for identifying stress levels electroencephalogram signal based Setyorini, Setyorini; Zaeni, Ilham Ari Elbaith; Elmusyah, Hakkun
International Journal of Advances in Applied Sciences Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i4.pp1137-1145

Abstract

Stress identification based on electroencephalogram (EEG) signals has become a rapidly growing research topic, with the main approaches utilizing features from the frequency domain and time-frequency domain. This research aims to combine principal component analysis (PCA) and independent component analysis (ICA) for feature extraction to improve the accuracy of stress identification. Additionally, PCA+ICA features are reduced from 64 to 32 columns to optimize computational efficiency without losing important information from the EEG signal. The stress identification models used in this research include Ensemble, naive Bayes, and support vector machine (SVM). The data used are from the SAM-40 task Stroop color trials 1, 2, and 3. Experimental results indicate that the combination of PCA+ICA features improves accuracy only in the ensemble method. Reducing PCA+ICA features from 64 to 32 columns led to an improvement in accuracy only for Stroop trial 2 data with the naive Bayes method.
Integrasi Teknologi Artificial Intelligence dalam Pengolahan Gambar dan Produksi Video Irsyada, Abdulloh Eizzi; Setyorini, Setyorini; Arifin, Jaenal; Andini, Titania Dwi; Indahsari, Rina Dewi
Mestaka: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2026): APRIL 2026
Publisher : Pakis Journal Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58184/mestaka.v5i2.914

Abstract

Artificial Intelligence is now an integral part of learning activities, especially for the younger generation. This includes digital image processing and video production. These activities are driven by the importance of mastering digital technology as one of the key competencies in facing the era of Industry 4.0 and Society 5.0, particularly for vocational high school students who are being prepared for careers in the digital creative field. The implementation methods include interactive training, hands-on practice with AI-based software, and guidance in digital content creation projects. Students are introduced to various AI applications and tools for automatic image editing, background removal, resolution enhancement, and the creation of text- and synthetic voice-based videos. The results of these activities demonstrate an improvement in students' understanding and skills in utilizing AI technology to support their creative processes. The digital products created through the training also demonstrate improved visual quality and efficiency in the production process. This activity is expected to serve as a model for integrating AI technology into vocational curricula and to foster the emergence of a creative generation adaptable to technological advancements.
Exploring cultural intelligence in educational studies: a bibliometric perspective on global literature Soejanto, Laily Tiarani; Bariyyah, Khairul; Ifdil, Ifdil; Andrianie, Santy; Setyorini, Setyorini; Ariyanto, Restu Dwi; Bakar, Abu Yazid Abu
COUNS-EDU: The International Journal of Counseling and Education Vol. 9 No. 1 (2024)
Publisher : Indonesian Institute for Counseling, Education, and Therapy & Indonesian Counselor Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23916/0020240948410

Abstract

With the rapid growth of research on the topic of cultural intelligence in educational studies, it becomes increasingly important to understand the trends, patterns of scholarly collaboration, and direction of this research development. This study explores the development of research on the topic based on Scopus-indexed scientific publications, using a bibliometric approach. Data were obtained from 227 relevant articles based on the keywords “cultural intelligence” and “education” from 2015 to 2025. The analysis was conducted using VOSviewer and Biblioshiny to answer research questions. RQ1: Who are the authors who contribute the most to the publication of research and works on cultural intelligence in education studies? RQ2: What are the main keywords in cultural intelligence in education studies? RQ3: What are the potential topics for future studies in the field of research related to cultural intelligence in educational studies? Based on these research questions, it was found that Jacqueline E. McLaugh is the most prolific author. In addition, four main clusters of research were found, namely the Education and Students Cluster, the Cultural and Psychological Competence Cluster, the Learning and Cognition Cluster, and the Globalization, Leadership, and Cultural Diversity Cluster. Potential research on the topic of cultural intelligence in educational studies focuses on how cultural intelligence can increase international employment and how students can develop better skills in multicultural experiential learning.
Rasch model-based grit exploration in university of indonesia students: a descriptive study using the grit-o scale Andrianie, Santy; Bariyyah, Khairul; Ifdil, Ifdil; Soejanto, Laily Tiarani; Setyorini, Setyorini; Ariyanto, Restu Dwi; Mamahit, Henny Cristine
COUNS-EDU: The International Journal of Counseling and Education Vol. 9 No. 2 (2024)
Publisher : Indonesian Institute for Counseling, Education, and Therapy & Indonesian Counselor Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23916/0020240948520

Abstract

This study aims to describe the level of grit of students in Indonesia and its technicality with their academic success. Grit, which consists of persistence and passion towards long-term goals, is an important factor in academic success. Using a quantitative descriptive approach, this study involved 461 students from various universities in Indonesia. Data were collected using the Grit-O Scale which measures two dimensions of grit, namely consistency and consistency of interest. The results of the analysis using the Rasch Model showed that most students had a moderate level of grit, with some students showing high or low levels. These findings illustrate the challenges faced by students in maintaining academic motivation and persistence. This study is expected to provide useful insights for the development of educational programs that support the improvement of students' grit, with the aim of improving their academic achievement and readiness to face global challenges in the future.
Co-Authors Adriani Kalalembang Amatullah Karimah, Siti Ambarwati, Fajar Putri Andrianie, Santy Anggita Intan Saputri Aqromi , Nur Lailatul Ari Eko Wibowo Bakar, Abu Yazid Abu Bedy Purnama Derry Destian Didit Adytia Elmusyah, Hakkun Entik Insanudin Fadilla Cahyaningtyas Fajar Putri Ambarwati Fakhrurroja, Hanif Farah Afianti Firmansyah Arrozi, M Firosalia Kristin Fitrian, Farisa Dina Fransiska Sisilia Mukti Furqoon, Naufal Sayyid Galih Saputro, Mukhamad Rafi Galih Setiawan Hanif, Rifki Hanifan, Abdullah Hironimus Hari Kurniawan Ifdil Ifdil Ike Kusdyah Rachmawati irsyada, abdulloh eizzi Ismail Ismail J.T. Lobby Loekmono, J.T. Lobby Jaenal Arifin Jaenal Arifin Justita Dura Kala'lembang, Adriani Khairul Bariyyah Khori Wahyu Kristina, Ayu Dina Kurniawan, Karolus Danar Kusnarto Kurniawan Labib, Fahdi Layli Dwi Rohmatunnisa Mamahit, Henny Cristine mulyaningtyas, mulyaningtyas Nopendri Nopendri Novita Sari Nur Lailatul Aqromi Puji Subekti Purnomo, Andreas Wisnu Adi Purwoko, Agus Puspa Dewi, Mariana Ratnawati Ratnawati Rendy Munadi Restu Dwi Ariyanto, Restu Dwi Ria Fitriani Rina Dewi Indahsari Rizqi Nur Astuti Nur Astuti Samsul Arifin Seno Adi Putra Siti Nurul Afiyah Siti Nurul Afiyah Soejanto, Laily Tiarani Tatang Mulyana Tien Fabrianti Kusumasari Titania Dwi Andini Tritjahjo Danny Soesilo Umbu Tagela Wa Ode Irma Sari Wahyu Rizky Wibowo Widianto Soekarnen Widyanto, Toto Wongarso, Silviana Winty Yahya Adi Setyawan Yari Dwikurnaningsih Yayi Suryo Prabandari Yosua Ivan Pradana Yuggo Afrianto Zaeni, Ilham Ari Elbaith Zulfikar Ali