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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Faktor Exacta Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Eksplora Informatika JURNAL INSTEK (Informatika Sains dan Teknologi) Jiko (Jurnal Informatika dan komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) KOMPUTIKA - Jurnal Sistem Komputer JURNAL MANAJEMEN BISNIS JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Informatika Global Jambura Journal of Electrical and Electronics Engineering Jurnal Informatika dan Rekayasa Perangkat Lunak Klasikal: Journal of Education, Language Teaching and Science Jurnal Teknik Informatika (JUTIF) Mattawang: Jurnal Pengabdian Masyarakat PENGABDI: Jurnal Hasil Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence International Journal of Electronics and Communications Systems Jurnal Nasional Teknik Elektro dan Teknologi Informasi Online Learning in Educational Research Seminar Nasional Pengabdian Kepada Masyarakat Paradigma Edukasia: Jurnal Pendidikan dan Pembelajaran Teknovokasi : Jurnal Pengabdian Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM Information Technology Education Journal Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Ininnawa: Jurnal Pengabdian Masyarakat Journal of Security, Computer, Information, Embedded, Network and Intelligence System Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Progressive Information, Security, Computer and Embedded System Paramacitra : Jurnal Pengabdian Masyarakat Jurnal MediaTIK SISFOTENIKA Artificial Intelligence in Educational Decision Sciences Jurnal Sipakatau
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Article Retrieval And Automatic Summarization System Using BERT-Based Neural Network Model On Chatbot Awaluddin, Muhammad Ghazali; Aksa, Muhammad; Arifky, Reza; Bakri, Muhammad Fajar; Surianto, Dewi Fatmarani; Edy, Marwan Ramdhany; Zain, Satria Gunawan
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.4463

Abstract

The rapid growth of online scientific publications presents challenges in efficiently filtering relevant information. Many search systems still rely on keyword matching, which is often ineffective in understanding the context of user queries. This study develops a chatbot system based on BERT (Bidirectional Encoder Representations from Transformers) for scientific article retrieval and automatic summarization. The system is designed to comprehend user intent and generate summaries of relevant articles. The evaluation was conducted on a dataset of 506 scientific articles, assessing search accuracy based on topic, abstract, author name, and time range. Results show 100% accuracy in searches by author and abstract, with varying performance in topic-based and time-based searches. This system is expected to enhance the efficiency and relevance of scientific literature retrieval and support the productivity of researchers across various fields.
Performance Comparison of SVM in Sentiment Analysis of Israel-Palestine Comments Using Lsa and Word2vec Akbar, Muh. Arsan; Syam, Abd. Azis; Al Amanah, Muh. Nur Hidayat; Risal, Andi Akram Nur; Surianto, Dewi Fatmarani; Budiarti, Nur Azizah Eka; Wahid, Abdul
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.4601

Abstract

This study compares two feature extraction techniques, namely Latent Semantic Analysis (LSA) and Word2Vec, in the sentiment classification of comments related to the Israeli-Palestinian conflict using Support Vector Machine (SVM). The dataset consists of 1000 YouTube comments and 158 news paragraphs, categorized into pro and con Palestinian sentiments. The preprocessing process includes casefolding, special character and stopword removal, lemmatization, and tokenization. The results show that SVM with Word2Vec has better performance than SVM with LSA in the classification of positive and negative comments. SVM model with Word2Vec recorded a precision value of 92% and F1-Score of 93% on negative comments. Meanwhile, SVM with LSA recorded 90% precision and 92% F1-Score. On positive comments, SVM with Word2Vec recorded 92% recall and 93% F1-Score. While SVM with LSA recorded 89% recall and 91% F1-Score. Word2Vec's strength lies in its ability to capture word context and nuance more effectively, thanks to training using richer contextualized comment and news data. In conclusion, although both methods show good ability in sentiment classification, the use of Word2Vec provides more consistent and accurate results. This research contributes to the advancement of sentiment classification methods in the context of complex socio-political issues and can serve as a reference for applying machine learning to more accurate and contextual public opinion analysis.
Data-Driven Clustering of Stunting Prevention Services for Pregnant Women and Infants Using Fuzzy C-Means Hanum Zalsabilah Idham; Ayu Safitri; Andi Akram Nur Risal; Dewi Fatmarani Surianto; Firdaus
Artificial Intelligence in Educational Decision Sciences Vol 1 No 2 (2026): Artificial Intelligence in Educational Decision Sciences
Publisher : PT. Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/aieds.v1i2.22

Abstract

Purpose – This study addresses persistently high stunting rates in South Sulawesi, Indonesia, which remain above national targets despite declining trends. We developed a clustering model to overcome limitations of traditional methods in handling complex health data with overlapping characteristics, aiming to identify priority regions requiring targeted interventions.Methods – Using 2,267 structured records from Satu Data Indonesia covering maternal and child health indicators, we implemented Fuzzy C-Means (FCM) algorithm with systematic preprocessing, optimal cluster determination via Elbow Method, and quality validation using Silhouette Coefficient.Findings – Analysis revealed three distinct clusters for pregnant women (representing good, moderate, and low service coverage areas) and three corresponding clusters for infants. Validation showed Silhouette values ranging from 0.204 to 0.645, indicating variable cluster separation quality with Cluster 0 pregnant women achieving highest cohesion (0.638) and Cluster 2 infants showing strongest separation (0.645).Research limitations – Data quality limitations affected cluster cohesion in some areas, particularly Cluster 1 infants (0.204 Silhouette value), constraining generalizability. The FCM approach accommodates real-world data complexity better than rigid clustering methods but requires high-quality input data.Originality – This research contributes an adaptive framework for evidence-based stunting prevention through sophisticated data-driven segmentation. Findings offer immediate practical value for health policymakers in resource allocation and intervention planning, with potential adaptation to other regional contexts facing similar public health challenges.
EduTech Acceleration: Strengthening Teacher Competencies through AI-Based Learning Media Training Surianto, Dewi Fatmarani; B, Muhammad Fajar; Hasnining, Ayu; Risal, Andi Akram Nur; Ramadhan, Haekal Febriansyah; Surianto, Dewi Fatmawati
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 3 No. 1 (2025): Jurnal Sipakatau
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/sipakatau.v3i1.265

Abstract

The rapid adoption of Generative Artificial Intelligence (GenAI) in education requires teachers to strengthen their competencies in producing accurate, ethical, and safe learning media. This community engagement program was conducted in a secondary education institution to enhance teachers’ AI literacy and ability to apply structured prompting using the CRISP-EDU framework. The training emphasized fact-checking, credible source attribution, bias mitigation, and student data protection principles. Evaluation results demonstrate improvements across all competency dimensions: understanding of CRISP-EDU fundamentals (+42%), AI licensing and ethics (+32%), classroom AI-related standard operating procedures and risk awareness (+26%), generative AI utilization (+15%), and practical application of CRISP-EDU (+23.66%). These findings indicate a shift in teachers’ roles from passive users to critical and ethical content curators capable of producing safe and contextually appropriate AI-based learning materials.
Beyond Advice: Training Mentors in Ethics, Boundaries, and Trustworthy Mentoring Surianto, Dewi Fatmarani; Nasrullah, Asmaul Husnah; Hasnining, Ayu; Adiba, Fhatiah
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 2 No. 4 (2025): Jurnal Sipakatau
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v2i4.2525

Abstract

The Community Service Program aims to improve ethical competency among student mentors through a structured training program that focuses on five key areas: confidentiality, ethical communication, communication style, professional boundaries, and respecting mentee diversity. A total of 31 mentors participated in pre- and post-test assessments, allowing for a measurable analysis of knowledge development. The training was delivered online using Zoom and included interactive discussions, scenario analysis, and self-reflection sessions. Results showed significant improvements in all five indicators, particularly in understanding ethical communication (from 32.3% to 77.4% selecting the highest score), and appropriate communication style (from 41.9% to 80.6%). Even dimensions with high baseline scores, such as confidentiality (74.2%), experienced positive growth. The findings confirm that the training successfully improved participants’ ethical sensitivity, practical communication skills, and preparedness for real-world mentoring situations. This initiative contributed to the development of a responsible mentoring culture that aligns with the values ​​of empathy, professionalism, and inclusion. Future programs should consider expanding to include peer mentors from other faculties and provide ongoing support mechanisms to strengthen ethical mentoring practices.
PKM Pelatihan Figma untuk Meningkatkan Kualitas User Interface Project Mahasiswa Demi Mendukung Hasil Project-Based Learning Putra, Kurnia Prima; Surianto, Dewi Fatmarani; Hidayat, Wahyu; Jasruddin, Jasruddin; Mahande, Ridwan Daud
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Vol. 1 No. 3 (2024): Jurnal Sipakatau
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v1i3.247

Abstract

In the era of project-based learning (PjBL), the quality of student learning is a primary concern. However, often the quality of user interface (UI) in these projects is neglected. Therefore, we conducted intensive training using Figma to enhance UI quality in PjBL projects. With a practical approach, students were encouraged to become more engaged and understand UI design concepts better. The results were surprising: there was a significant improvement in the quality of student project UIs. Not only were they more actively involved, but they were also able to apply good design principles. These findings offer new hope in curriculum development and teaching practices for the future, reinforcing Figma's contribution to enhancing student learning quality.
Co-Authors A. Arianugerah Ilham A. Arianugerah Ilham AA Sudharmawan, AA Abdal, Nurul Mukhlisah Abdul Muis Mappalotteng Abdul Wahid Adiba, Fathiah Adiba, Fhatiah Adnas, Diny Anggriani Agusyana, Nurrahmah Ahmar, Ansari Saleh Ainun Zahra Adistia Akbar, Mohammad Arsan Akbar, Muh. Arsan Akmal Hidayat Akmal Hidayat Akmal, Muhammad syafruddin Aksa, Muhammad Al Amanah, Muh. Nur Hidayat Alwi, Ana Sulistiana Amanda Putri Lestari Amiruddin Amri, Muh. Aidil Amukune, Stephen Andi Akram Nur Risal Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi, Tenriola Andika Isma Anwar Wahid Arifin, Afrisal Arifiyanti, Fitria Arifky, Reza Arsyad, Meisaraswaty Asis Nojeng Asri Ismail Athiyyah Anandira Awalia, Andi Dio Nurul Awaliah, Widiarti Awaluddin, Muhammad Ghazali Ayu Hasnining Ayu Safitri Ayu Safitri Azir Zuldani Pratama Azis, Putri Alysia Azzah Ulima Rahma B., Muhammad Fajar Bahar, Muhammad Mahdinul Bakri, Muh. Fajrin Bakri, Muhammad Fajar Baso, Fadhlirrahman Cahyana Resky, Andi Aulia Clarisha, Windi Darwing, Khalil Mubaraq Dary Mochamad Rifqie Della Fadhilatunisa Dhaffa Mulya Rahman Dilla, Salsa Dillah, Salsa Dwi Rezky Anadari Sulaiman Edi Suhardi Rahman Edy, Marwan Ramdhany FADIAH, NUR Fani, A. Astri Merilsa Fathahillah Fathahillah Fathahillah Fhatiah Adiba Fhatiah Adiba Firdaus Firdaus Firdaus Fitriani Dzulfadhilah Fitriyanty Dwi Lestary Fizar Syafaat Furqan Ali Yusuf Hanum Zalsabilah Idham Hardy M, Galang Hartini Ramli Helmy, Ahnaf Riyandirga Ariyansyah Putra Hidayat M., Wahyu Ilyas, Sitti Nurhidayah Indanasufya, Indanasufya Inez Sri Wahyuningsi Manguling Irianti, Erva Irwandi Ishaq, Muhammad Fahrul Rosi isma, Nur Ivan Fadillah Akram Iwan Suhardi Jariah S.Intam, Rezki Nurul Jariah, Rezki Nurul Jasruddin Jasruddin Daud Malago Jumadi Mabe Parenreng Jumadil Ahmad Safi’i Jusniar Khaerunnisa Nur Fatimah Syahnur Kurnia Prima Putra Lapendy, Jessica Crisfin Lavicza, Zsolt Lutfiah Tri Syahyaningsih M. Miftach Fakhri Makmur, Haerunnisya Mappangara, Surianto MARDIAH, AINA Muh. Juharman Muhammad agung Muhammad Akil Musi Muhammad Ansarullah S. Tabbu Muhammad Fadhil Hani Muhammad Fajar B Muhammad Fardan MUHAMMAD ILHAM Muhammad Nur Yusri Muhammad Rafli Aditya H. Muhammad Rakib Muhammad Try Dharsana Muharni Muharni Muhtadi, Nashiruddin Sahal Mulia, Musda Rida Muliadi Mustari Lamada Muthmainnah, Aindri Muthmainnah, Aindri Rizky Nafil Rizqullah Rajab Nafil Rizqullah Rajab Nashiruddin Sahal Muhtadi Nasrullah, Asmaul Husnah Natsir, Nasrah Ninik Rahayu Ashadi NIRMALA, PUTRI Nur Fadiah NUR FADILAH NUR FADILLAH Nur Risal, Andi Akram Nurhidayat Nurhidayat Nurjannah Nurrahmah Agusnaya Nurul Fadhilah Nurul Fadhillah Nurul Fadhillah S Nurul Mukhlisah Abdal Pamput, Jessicha Pamput, Jessicha Putrianingsih Parenreng, Jumadi M. Putri Nirmala Putri Zhachilia Susanto R, Mutmainnah Raden Mohamad Herdian Bhakti Rahman, Dhaffa Mulya Ramadhan, Haekal Febriansyah Rauf, Annajmi Resky, Andi Aulia Cahyana Rezki Angriani Pratiwi Kadir Rezki Nurul Jariah Rezky Anisar, Muh. Alief Rhania, Dhia Ridwan Daud Mahande Ridwan Daud Mahande Risaldi, Muhammad Rivai, Andi Tenri Ola Rosidah Rusli, Risvan S, Aprilianti Nirmala S, Muh. Rizal S, Nurul Fadhillah S.Intam, Rezki Nurul Jariah Sari Wulandari Sari, Putri Nanda Sasmita Sasmita Satria Gunawan Zain Setialaksana, Wirawan - Shabrina Syntha Dewi Shasa Inayah Vega Shasa Inayah Vega Siti Syarifah Wafiqah Wardah Soeharto Soeharto Sudarmanto Jayanegara Surianto, Dewi Fatmawati Syahrul Syahrul Syahrul Syahyaningsih, Lutfiah Tri Syam, Abd. Azis Syamsurijal Syamsurijal, Syamsurijal Tenriola, Andi Udin Sidik Sidin Wahid, M Syahid Nur Wahid, M. Syahid Nur Wahid, Yokogeri Abdullah Wahyu Hidayat Wahyu Hidayat M Wahyu Hidayat M WAHYUDI Warda Wahyuni Wardah, Siti Syarifah Wafiqah Wardani, Ayu Tri WULANDARI Wulandari Wulandari Zulfikar, Muh Ihsan Zulhajji, Zulhajji