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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Ilmu Komputer dan Informasi ELINVO (Electronics, Informatics, and Vocational Education) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INOVTEK Polbeng - Seri Informatika Jurnal Eksplora Informatika ILKOM Jurnal Ilmiah Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Panrannuangku Jurnal Pengabdian Masyarakat Archive: Jurnal Pengabdian Kepada Masyarakat Seminar Nasional Pengabdian Kepada Masyarakat Edukasia: Jurnal Pendidikan dan Pembelajaran Internet of Things and Artificial Intelligence Journal Teknovokasi : Jurnal Pengabdian Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat EduInovasi: Journal of Basic Educational Studies Journal of Progressive Information, Security, Computer and Embedded System Jurnal MediaTIK Journal of Computers, Informatics, and Vocational Education Journal of Engineering and Science Application Media Elektrik Journal of Smart Education and Emerging Technology Journal of Emerging Research in Computer Science and Artificial Intelligence Journal of Education for Creativity and Innovation
Jumadi Mabe Parenreng
Department Of Informatics And Computer Engineering, Faculty Of Engineering Makassar State University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Efektivitas Penerapan Model Pembelajaran Discovery Learning Pada Mata Pelajaran Teknologi Informasi dan Komunikasi di MTsN 4 Bone Setia Ningsih; Jumadi M Parenreng; Firdaus
EduInovasi:  Journal of Basic Educational Studies Vol. 5 No. 3 (2025): EduInovasi:  Journal of Basic Educational Studies
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/edu.v5i3.9605

Abstract

This quasi-experimental study examined the effectiveness of a treatment using a nonequivalent control group design. One group applied the discovery learning model, while the other acted as a control class with a conventional learning model. The aim was to determine the effectiveness of the discovery learning model for learning information and communication technology in eighth grade at MTsN 4 Bone. Purposive sampling was used to select class VIII C as the experimental group and class VIII B as the control group. The results of the analysis of the three effectiveness indicators are as follows: (1) The average ICT learning achievement score was in the high category, with an 87% increase in student ICT learning achievement. (2) The student activity indicator was met, with an average student activity score of 3.52 in the very active category. (3) The student response questionnaire indicator was met, with 93% of responses being positive. Based on these results, it can be concluded that implementing the discovery learning model is effective for teaching information and communication technology because all criteria were fullfilled
Improving Sentiment Classification of Kredit Pintar Reviews Using IndoBERT, SMOTE, and Stacking Ensemble Safitri, Ayu; Risaldi, Muhammad; Alwi, Muh Naufal Ramadhani; Surianto, Dewi Fatmarani; Fadilah, Nur; Parenreng, Jumadi M
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5342

Abstract

Kredit Pintar is one of the most widely used fintech applications in Indonesia, generating millions of user reviews on the Google Play Store that reflect diverse user experiences. These reviews provide valuable insights into application performance; however, extracting sentiment from such unstructured and imbalanced textual data remains a challenging task. This study aims to improve sentiment classification of Kredit Pintar user reviews by proposing a hybrid approach that integrates IndoBERT, SMOTE (Synthetic Minority Over-Sampling Technique), and a stacking ensemble model. From 2020 to 2024, 2,278 user reviews were classified into positive, neutral, and negative categories based on star ratings. SMOTE was employed to rectify class imbalance, whereas IndoBERT gathered contextual representations of the Indonesian language. Furthermore, a stacking ensemble combining IndoBERT, Random Forest, and SVM (Support Vector Machine) was implemented to enhance classification performance. Experimental results show that IndoBERT without data balancing achieved an accuracy of 84%, whereas the proposed combination of IndoBERT, SMOTE, and stacking ensemble consistently produced superior performance, achieving 92% accuracy, precision, recall, and F1-score. The findings demonstrate that integrating language-specific transformer models with data balancing and ensemble techniques effectively improves sentiment classification. This study contributes to the advancement of Indonesian-language natural language processing in the fintech domain and provides practical insights for fintech developers in understanding user perceptions and improving digital financial services.
Classification of Watermelon Flavor Using Artificial Neural Network with Color, Texture, and Shape Features Musgamy, Muh Faqih S; Risaldi, Muhammad; Safitri, Ayu; Kaswar, Andi Baso; B, Muhammad Fajar; Parenreng, Jumadi M
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5457

Abstract

Watermelon (Citrullus vulgaris Schard) is a widely produced fruit due to its high nutritional value and health benefits. However, consumers often experience difficulty in distinguishing sweet and bland watermelons because quality assessment is generally conducted manually and subjectively. To address this issue, this study proposes a watermelon flavor classification system based on visual features, including color, texture, and shape, using an Artificial Neural Network approach with digital image processing. The dataset used in this study consists of 214 images collected from 55 watermelon samples, categorized into sweet and bland classes. The proposed method involves several stages, namely image acquisition, preprocessing, grayscale conversion, segmentation, morphological operations, feature extraction, and classification using a feedforward backpropagation learning algorithm. Various combinations of visual features were evaluated to determine the most effective configuration. Experimental results show that the proposed system achieves an accuracy of 93.67% on training data and 92.85% on testing data, with an average computation time of 0.319 seconds per image. The findings indicate that the integration of Hue Saturation Value color features, texture features derived from the Gray-Level Co-occurrence Matrix, and shape features significantly enhances the accuracy of watermelon flavor classification. This study contributes to the development of an objective, efficient, and non-destructive fruit quality assessment system and demonstrates potential applicability to other types of fruits using a similar approach.
The Use of the Spinner Educational Game to Improve English Learning Outcomes Among at Tonasa 2 Primary School Muhammad Syaiful; Jumadi M Parenreng; Shabrina Syntha Dewi
Journal of Smart Education and Emerging Technology Vol 2 No 1 (2026) : July
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/jseet.v2i1.823

Abstract

Background/Context: English is an important subject that needs to be taught effectively at the elementary school level. However, the learning process at SDS Tonasa 2 Pangkep was still dominated by lecture methods, resulting in low student interest and learning outcomes in English subjects. Objective/Purpose: This study aimed to improve the English learning outcomes of fourth-grade students at SDS Tonasa 2 Pangkep through the implementation of Game Spinner as a learning media. Method: This study used Classroom Action Research (CAR) based on the Kemmis and McTaggart model, which consists of planning, action, observation, and reflection stages. The research was conducted in two cycles involving 24 fourth-grade students. Data were collected through observation, tests, and documentation, then analyzed descriptively. Results: The results showed that the implementation of Game Spinner improved students’ English learning outcomes. In the pretest stage, only 9 students (37%) achieved the minimum mastery criteria. After the implementation of Game Spinner in Cycle I, the number of students who achieved mastery increased to 16 students (67%). In Cycle II, all students achieved mastery learning with a percentage of 100%. The average score also increased from 70 in the pretest to 77 in Cycle I and 84 in Cycle II. In addition, students became more active and motivated during the learning process. Conclusion: The use of Game Spinner as a learning media was effective in improving students’ English learning outcomes, motivation, and classroom participation among fourth-grade students at SDS Tonasa 2 Pangkep.
Co-Authors Abd. Fattah Abd. Rahman Patta Abd. Rasyid Syamsuri Abdul Hafizh Abdul Muis Mappalotteng Abdul Wahid Abdul Wahid Adiba, Fhatiah Afrisal Arifin Ahmad Ridwan Ahmad Wahyudi Akbar, Trisakti Al Imran Alimuddin Sa’ban Miru Alwi, Muh Naufal Ramadhani Aminuddin Bakry Anak Agung Istri Sri Wiadnyani Andani, Andi Ferry Adlian Tri Andi Akram Nur Risal Andi Baso Kaswar Andi Baso Kaswar Andi Farmadi Andi Muh. Sahirul Haq Andi Wawan Indrawan Andi, Asirah Ary Masharuddin Shiddiqi Asham Bin Jamaluddin Aswa, M. Andika Atthariq, Atthariq Ayu Lestari Ayu Safitri Azhar Azhar Budi, Tri Setyo Cyahrani Wulan Purnama Cyahrani Wulan Purnama Rasyid Dendy Mahabror Dewi Fatmarani Surianto Djawat, Yasser Abd Djuanda, Djuanda Dodon Turianto Nugrahadi Dyah Vitaloka Edi Suhardi Rahman Edy, Marwan Ramdhany Fachrul, Achmad Fadhlirrahman Baso FADIAH, NUR Fahmi, Moghfina Moghfina Fathahillah Fathahillah Fatimah Hidayahni Amin Febry Maryani Yatu Fhatiah Adiba Firdaus Firdaus Firdaus Firdaus, Muhammad Eka Ganefri . Harifuddin Haripuddin Hartono Hartono Hasrul Bakri Hendarawaty, Hendarawaty Hendra Jaya Hentje Ponto I Nyoman Sila Ibnu Fikrie Syahputra Iin Mahgafhira Ikram Anas Ilham Juliady Irmawati Irmawati Irmawati Irmawati Irmawati Irvanshah Irvanshah Irwan Budiman Istiqamah, Nurfadilah Iwan Suhardi Jamaluddin Jamaluddin Jariah, Rezki Nurul Jufri, Muhammad Fadhil Juliady, Ilham Jumriah, Titin Jusniar . Karmila Kurnia Prima Putra Lia, Resky Amalia M. Ruhan Bachry M. Syahid Nur Wahid Manguling, Inez Sri Wahyuningsi Marwan Ramdhany Edy Massikki, Massikki Moghina Fahmi Muh Azikin Sofyan Muh Mujahidin Muh Rais Muh. Alief Rezky Anisar Muh. Alwi Rizkyansyah Kasim Muh. Azfa Azra Muh. Irfan Nur Muh. Rifqi Fadhil Muh. Yusuf Mappeasse Muh.Fahmi Muhammad Agung Muhammad Agung Muhammad Agung Muhammad Agung Muhammad Alkaff Muhammad Fajar B Muhammad Fajri, syamsir Muhammad Ilyas Syarif Muhammad Mahdinul Bahar Muhammad Mahdinul Bahar Muhammad Reza Faisal, Muhammad Reza Muhammad Syaiful Muhammad Yahya Muharram Muharram Muhira Muhira Muliadi Muliadi Muliadi Musdania Musgamy, Muh Faqih S Nanda Aulia Ash Siddiq Niranti Jihan Sari Nununk Febryanti NUR FADILAH Nur Risal, Andi Akram Nur, Muh Irfan Nurdin Nurhikma Nurul Istiqamah Qalbi Nurul Izzah Dwi Nurul Izzah Dwi Nurdinah Parenreng, Syarif Mabe Prima, Delta Ardy Puput Dani Prasetyo Adi Putra, Muh. Fardika Irwan Pratama Rasyid, A. Ramli Rasyid, M. Udin Harun Al Rhesky Annisa Basri Riana T.Mangesa Ridwan Daud Mahande Risaldi, Muhammad Riska, Muhammad Rizal, Fahru Ros Sariningrum rosyidah, aliyyah Salsa Dillah Sanatang Saragih, Triando Hamonangan Seny Luhriyani Sunusi Setia Ningsih Shabrina Syntha Dewi Shiraj, Muhammad Reza Sugeng A. Karim Suhartono Suhartono Suhartono, Suhartono Suhendar Aji Putra Suhendhar Aji Putra Sul Fikran Supeno Djanali Supriadi, Dewi Sri Mulyana Suyanta Suyanta Syafriandi K, Fahri Syahrul Syahrul Syahrul Syamsinar Syarifuddin Kasim Tenri Nadya Wenny Tri Setyo Budi Udin Sidik Sidin Usman Mulbar Wahda Arfiana AR Wahid, M. Syahid Nur Wahyu Hidayat M Wahyu Hidayat M Wahyuni , Maya Sari Wahyuni, Maya Sari Welly Chandra Kusumah Kusnandar Winda Agustina Yasdin, Yasdin Yunus Tjandi Yusuf, Zulfatni Zulhajji, Zulhajji Zulkiplih Zulkiplih Zulkiplih Zulkiplih Zulkiplih