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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Administrasi dan Kebijakan Publik Jurnal Kybernan Governance : Jurnal Ilmu Pemerintahan Jurnal Ilmiah Mahasiswa FEB PROSIDING SEMINAR KIMIA The Journal of Educational Development Jurnal Farmasi Sains dan Komunitas Al Qodiri : Jurnal Pendidikan, Sosial dan Keagamaan Jurnal Pilar Nusa Mandiri Biology Teaching and Learning Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Integritas: Jurnal Antikorupsi JMM (Jurnal Masyarakat Mandiri) Politik Indonesia: Indonesian Political Science Review Jurnal Transformative J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Tasamuh: Jurnal Studi Islam Al-Riwayah: Jurnal Kependidikan IKRA-ITH EKONOMIKA Gorontalo Journal of Government and Political Studies JISIP: Jurnal Ilmu Sosial dan Pendidikan JOMSIGN: Journal of Multicultural Studies in Guidance and Counseling Pusaka : Jurnal Khazanah Keagamaan Jurnal Public Policy QUANTA Jurnal Ekonomi dan Bisnis Dharma Andalas Jurnal Teknologi Informasi dan Pendidikan Technologia: Jurnal Ilmiah PSIKOVIDYA Agroekotek View Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Cahaya Mandalika International Journal of Mechanical Engineering Technologies and Applications (MECHTA) Jumat Keagamaan: Jurnal Pengabdian Masyarakat Al-Mazaahib: Jurnal Perbandingan Hukum Journal of Tourism Sustainability Bussman Journal : Indonesian Journal of Business and Management Jurnal Teknologi Lingkungan Lahan Basah Indonesian Journal for Physical Education and Sport Prosiding Seminar Nasional Teknologi Industri Berkelanjutan Fikruna : Jurnal Ilmiah Kependidikan dan Kemasyarakatan Mediation : Journal Of Law Southeast Asian Journal of Islamic Education Borneo Community Health Sevice Journal PARADIGMA Jurnal Pengabdian Masyarakat Bhinneka Indonesian Research Journal on Education Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat Bangsa Proceeding of International Conference on Science, Education, and Technology Journal of Pharmaceutical and Sciences. Nusantara Community Empowerment Review Jurnal Pandu Husada JRIIN :Jurnal Riset Informatika dan Inovasi Al-Qudwah: Jurnal Studi Al-Qur'an dan Hadis Bigint Computing Journal ARUS JURNAL SAINS DAN TEKNOLOGI Journal of The Civil Engineering Student Indonesian Journal of Science and Pharmacy Cosmic Jurnal Teknik Raudhah Proud To Be Professionals: Jurnal Tarbiyah Islamiyah Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat) Portal Riset dan Inovasi Sistem Perangkat Lunak Jurnal Keislaman Ulil Albab Journal of Renewable Energy and Smart Device
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Journal : Southeast Asian Journal of Islamic Education

GenAI Acceptance Modeling in Islamic Higher Education: An Integration of TAM and EVT Using PLS-SEM Fernanda, Jerhi Wahyu; Donasari, Renita; Anuraga, Gangga; Rahman, Fathur
Southeast Asian Journal of Islamic Education Vol 7 No 2 (2024): Southeast Asian Journal of Islamic Education, December 2024
Publisher : Faculty of Education and Teacher Training of UINSI Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/sajie.v7i2.9815

Abstract

Generative artificial intelligence (GenAI) technology is currently receiving special attention and has numerous benefits. In the education field, this technology can help obtain information quickly to complete a thesis. This research aims to conduct GenAI Modeling based on the Technology Accepted Model (TAM) and Expected Value Theory (EVT) framework using the Partial Least Square Structural Equation Model (PLS-SEM). The research used primary data obtained from surveys. The population was all Tarbiyah faculty students who took a thesis in the Even Semester of the 2023/2024 academic year with a total of 1266. The sample in this research was 191 students who were completing their thesis and had used Gen AI technology to help complete their thesis. The sampling technique used cluster random sampling with a procedure of dividing students into 8 clusters based on the study program. The research instrument used a questionnaire consisting of 5 latent variables: Perceived Usefulness, Perceived Ease of Use, Intrinsic Motivation, Perceived Value, and Behavioral Intention to Use. The results of the analysis using the PLS-SEM method showed that Intrinsic Motivation has a significant relationship with Perceived Ease of Use, and Intrinsic Perceived Usefulness and Perceived Value have a significant relationship with Behavioral Intention to Use. These results show that students choose GenAI Technology to help complete their thesis based on its benefits, such as making it easier to prepare backgrounds, research instruments, and data analysis steps, as well as providing insight into knowledge related to the topic being researched. The research results imply the need for policies regarding the use of GenAI technology for theses so that students are wiser in using GenAI technology.
Analysis of Education Quality Mapping Based on Geographical Information System (GIS) Zuqoni, Zuqoni; Rahman, Fathur; Susmiyati, Sri; Saugi, Wildan
Southeast Asian Journal of Islamic Education Vol 4 No 2 (2022): Southeast Asian Journal of Islamic Education, June 2022
Publisher : Faculty of Education and Teacher Training of UINSI Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/sajie.v4i2.8216

Abstract

Improving the quality of education is an integral part of the government's program. Enhancing the quality of education requires mapping based on educational levels and regions to provide an up-to-date depiction of the implementation and distribution of education. The purpose of this research is to map the quality of education in East Kalimantan based on the Geographical Information System (GIS). One of the government's accelerated development programs is to ensure equal distribution in improving the quality of education across all regions of the Republic of Indonesia. One step in implementing this program is mapping the quality of education through schools. Mapping the quality of education through schools is expected to portray the actual conditions in the field. The mapping is intended to generate evaluations, policies, recommendations, and planning programs for future education quality improvement. This research discusses mapping education quality using a geographical mapping method through observation and interviews. The collected data is subsequently grouped according to the boundaries of each region, designing maps based on the geographical conditions of the areas to be mapped. OpenJUMP software for GIS is utilized to integrate observation data and polygon maps of East Kalimantan, describing the analysis results for each mapped area. The implementation of the research findings and drawing conclusions will use Ms. Excel 2010 and Open Jump for GIS. The conclusion drawn from the GIS-based education quality mapping is that the clustering method can effectively visualize the distribution of education quality for each area, facilitating visual analysis. Mapping Education Quality in East Kalimantan based on Geographic Information System (GIS) is capable and effective in spatially identifying the distribution of education quality. Based on the grouping according to 8 parameters of the National Education Standards, it is concluded that several parameters, particularly Infrastructure Standards and Process Standards, have the highest number of categories not meeting the National Education Standards in each mapped area. This indicates that each parameter of the National Education Standards is still unevenly implemented.
Sentiment Analysis of NU Online Applications Using Artificial Neural Network Lusia, Dwi Ayu; Anuraga, Gangga; Rahman, Fathur
Southeast Asian Journal of Islamic Education Vol 6 No 2 (2024): Southeast Asian Journal of Islamic Education, June 2024
Publisher : Faculty of Education and Teacher Training of UINSI Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/sajie.v6i2.8822

Abstract

The NU Online app on the Playstore serves the needs of Muslims, especially those in Islamic boarding schools, by providing information and services. Its success is gauged not just by the number of downloads or popularity but by the quality of user interactions and how well it meets user needs. Sentiment analysis of user reviews provides deeper insights into these aspects. This research focused on finding words influencing sentiment from NU online and producing the best performance of artificial neural networks. This study collected user reviews from the NU Online app between February 9, 2021, and May 31, 2024, totalling 12613 reviews. After preprocessing, 8546 reviews remained. Using the Indonesian Sentiment Lexicon (INSET), 66% of the reviews showed positive sentiment, 21% were neutral, and 13% were negative. The words "aplikasi" (application) and "nya" (its) appeared in the top three across all sentiment classes, while "fitur" (feature) was common in both positive and negative sentiments. For neutral sentiments, "nan" was frequently mentioned. The data were split into training and testing sets in an 80:20 ratio, preserving the proportions of each sentiment class. Sentiment analysis was performed using a neural network, with input neurons ranging from the top 10 words from each sentiment class to all words. Accuracy improved as more words were used, peaking at 0.95 for the top 1690 words, compared to 0.71 for the top 10 words. The findings highlight the importance of using a comprehensive set of words to train the ANN. Including more words significantly enhances the model's performance, indicating that a richer vocabulary captures sentiment nuances better.
Co-Authors Abdul Ghofur Abdullah Abdullah Adiansah, Nikolas Adji, Vita Adonia Afifah, Khornelia Afrizani, Afrizani Agariadne Dwinggo Samala Agus Basuki Agustin, Eni Ahmaddul Hadi, Ahmaddul Aisa, Aufia Al-Husnin, Mohammad Iqbal Maulana Alam, Samsir Amrullah Anas, Mahmud Andreas, John Andriana, Denny Andriani, Rika Anggriyani, Dian Anny Sartika Daulay Anwaril Hamidy Ardifka, Fran Arifin Arifin Aristanti Widyaningsih Astriani, Nur Atika Aswat, Muhammad Raihan Aswat, Raihan Asyifa, Cut Nella Asyiqin, Nora Aulia Aulia Aulia, Dini Az-zahra, Syaika Alifa Azizah, Aryantinur Azizah, Nisak Nur Badri, Mohammad Bahtiar, Hariman Baidhowi, Achmad Ballo, Errando Bayu Wira Pratama Borman, Mohammad Riski Chici - Pratiwi Damasanti, Alvina Damayanti, Ratnaningsih Danar, Oscar Radyan Dandan Haryono Darwis, Muhammad Ridha Desy Desy, Desy Dewi Haryani Susilastuti, Dewi Haryani Dewi, Avela Dian Maharani, Dian Diana Nur Sholihah Dimas P, Riansyah Dimas Prasetyo Dony Novaliendry Duyo, Rizal Ahdiyat Elleazar, Cornelius Valdomero Erma Ariyani Erwin Sutandar Fadzlul Rahman, Ferry Fahmi, Miraz’hul Fahmi, Miraz’ul Fahrizal, Wahyu Faldi, Faldi Farida, Norma Feti Fathassururi, Fathassururi Fathi Farhat, M. Fathra Annis Nauli Fiko Farlis Fitriyana Fitriyana, Fitriyana Galasca, Syafhira Ananda Gangga Anuraga Gata, Windu Ginting, Nahitma Ginting, Nahitma Gusriani Gusriani Hajriana, Hajriana Hamzah, Hasyrul Handayani, Aprinia Hardyantoro, Vicko Tri Hari Bakti Mardikantoro Harits, Sayekti Harry Yulianto, Harry Haryani, Nunik Hasanuddin, Zulfajri Basri Hendra Saputra Hendri Hendri Idris, Yunita Iis Rodiyah Agustiningsih Ika Herani Illahi, Akbar Resky In, Khurin Intam Kurnia Jailani, J. Jansen Silalahi Jerhi Wahyu Fernanda, Jerhi Wahyu Joko Pranoto, Wawan Kamilah, Lila Zulfa Khaerunnisa Khaerunnisa, Khaerunnisa Khaidir, Muh Khairani, Zulfa Rahmalia Khamidah, Noor Khasanah, Fitrohtul Kuspandi Putra, Yupi Lilit, Sona Wanda Lismana, Ilman Lusia, Dwi Ayu Lusy Asa Akhrani, Lusy Asa Lutfi, Muhammad Mochtar M. Amin Made Kutanegara, Pande Mahardika, Ananta Tri Mahrus, Muhammad Haissul Marsuni, Yusriadi Masruroh, A’ida Mila Mahmudah Mohamad Annas Mohammad Setyo Wardono Mubaroq, Husni MUHAMMAD AGIL Muhammad Aziz Muhammad Idrus Muhammad Khairul Rijal muhammad mashuri Muhammad Nur Wangid Muhammad, Saiful Muhtar Haboddin Muliawan Nur, Amri Mumtazzah, Azmia Munira Munira, Munira Muslihah, Ana Milhatul Mustainah Mappatoba Muthi, Dimas Ibnu Nadia, Intan Ni’mah, Nur Evika Kamiliyatun Novitasari, Hafifah Bella Nur Hidayati Nurhaidah, Nurhaidah Nurhayati B octamelia, Mega Oktavianto, Rizqi Pakpahan, Rori Chandra Zaqy Pammu, Abidin Pebrian, Yuda Pramudya Asoka Syukur Pratama, Riansyah Dimas Prismadanu, Aliffathur Puri, Lintang Waskita Puspita Listya Ningrum, Tania Rachman, Dhonie Adetya Rachmawaty Rachmawaty, Rachmawaty Radityo Putro Handrito Raharjo, Mokhamad Ramdhani Rahayu Pristiwati Rahma, Nafisah Hanifah Rahmawati, Rina Dian Rendrasari, Desi Renita Donasari, Renita Retno Aqimnad Dinana Ridwanto Ridwanto Rika Yuliana, Rika Rini, Winda Putri Setyo Riny Kusumawati Riski, Tri Rachmat Rizkirullah, M. Adhitya Rizkirullah, Muhammad Aditya Rony, Zahara Tussoleha Rudi Kartika, Rudi Rustono - Ruth Agnesia Sembiring Sahib, Harlinah Samsoni Samsu, L M Sari, Dewi Vindy Aprillia Sari, Tesha Hestyana Sejati, Veny Ari Sinta Maryam, Sinta Siti Aminah Siti Morin Sinaga Sri Herwiningsih SRI RAHAYU Sri Susmiyati Sugeng, Santoso Sujoko, Anang Syarifa, Naf'a Trisylvana Azwari Ulfah, Irma Fitriana Ulfah, Irma Fitriana Verto Septiandika, Verto Wahyuni, Etty Wantoro, Briliantine Caesar Eka Wildan Saugi Yahya Yahya Yasin, Nur Azizah Yuli Nurmalasari Yustria Handika Siregar Zaenal Bachruddin Zahra, Amalia Zakiyah, Muslikha Irbah Zamzami, Ziyadatul Zuqoni, Zuqoni Zurqoni