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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 Didaktik : Jurnal Ilmiah PGSD STKIP Subang 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 Global Journal Basic Education 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 Journal of Deep Learning, Computer Vision and Digital Image Processing 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 Jurnal MEKOM: Media Komunikasi Pendidikan Kejuruan 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 Jurnal Kendali Teknik dan Sains
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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Pengembangan Aplikasi E-Commerce Potensi Unggulan Desa untuk Masyarakat Pataro Berbasis Android Jumadi Mabe Parenreng; Mustari S. Lamada; Jusniar Jusniar
Progressive Information, Security, Computer, and Embedded System Vol. 1, No. 2 September (2023)
Publisher : Sakura Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/pisces.v1i2.158

Abstract

This research is a software development that aims to determine the results of testing, effectiveness, development of the E-Commerce application. maintenance, portability. The development model used is the waterfall with the stages of needs analysis, concept design, system coding, system testing, and program implementation, and uses Research and Development (R&D) research methods. Data collected using interview techniques, observation, questionnaires, documentation. The application was validated by two system experts and evaluated by 30 respondents. The data analysis technique used is quantitative descriptive analysis in the form of proportions. Research results obtained based on ISO 25010 testing: (1) suitability of the functionality of the test specifications is worth 1 and has fulfilled the Testing aspect; (2) testing the performance efficiency aspect using Android Studio software, Visual Studio Code with the acquisition of raster max 231.4 ms/frame and avg 26.7 ms/frame and UI max 85.1 ms/frame and avg 4.5 ms/ frame; (3) testing the compatibility aspects of several applications that are run simultaneously to obtain results that can run well; (4) testing the usability aspect to 30 respondents with a score of 90.17%, very good category; (5) testing the reliability aspect with the test results of 200 tests in the dropped statement, namely keys, pointers, trackballs, flips, and rotations worth 0; (6) testing the security aspects with a score (52/100); (7) aspects of maintability testing get notification results if there is an error; (8) testing aspects of portability on several types of smartphones with different Android versions can run well without any problems.
House Door Security Design System Based on Face Recognition on ESP32-CAM Nanda Aulia Ash Siddiq; Abdul Wahid; Mustari Lamada; Jumadi Mabe Parenreng
Progressive Information, Security, Computer, and Embedded System Vol. 4, No. 1 Maret (2026)
Publisher : Sakura Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/pisces.v4i1.471

Abstract

Currently, the incidence of theft crimes by breaking into house doors is increasing. The importance of a security system is to prevent unknown parties from stealing or violating privacy without the owner's consent. Biometric technology can create a strong security system, by utilizing the biological characteristics that every human has, such as fingerprints, facial detection, eye retina and voice. One of the biometrics that is considered strong when building a security system is facial recognition. This research uses the Haar Cascade Classifier algorithm supported by OpenCV to increase the accuracy of facial identification based on facial structure and eye feature extraction. The training and testing process is carried out directly (real time) using the OV2640 camera and dataset. The designed prototype consists of an ESP32 CAM microcontroller, relay, and door lock solenoid which is integrated with telegram as notification. Based on the test results, it shows that the accuracy of matching facial images using the Haar Cascade Classifier algorithm which matches the database is 80%. Apart from that, the results of testing the distance of the face to the camera, variations in light, position and facial expressions that can be recognized with the ESP32 CAM camera greatly influence the face detection process. In this case, the effective distance is 25-55 cm in light conditions with a light intensity of 83-450 lux, and the face is facing forward. Apart from that, the system is also able to differentiate between human face objects and non-human face objects. The tool's performance from detection to sending unrecognized image data to Telegram took an average of 6.4 ms. From the test results, it is also known that the perfection of facial appearance that can be recognized with the ESP32 CAM camera has a great influence on the face detection proce
Sistem Informasi Pelaksanaan KKN Berbasis Web di Universitas Negeri Makassar Muh. Alwi Rizkyansyah Kasim; Muhammad Agung; Jumadi Mabe Parenreng; Mustari S. Lamada; Abdul Wahid
Progressive Information, Security, Computer, and Embedded System Vol. 2, No. 2 September (2024)
Publisher : Sakura Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/pisces.v2i2.533

Abstract

The research conducted is Research and Development (R&D). The aim of this study is to determine the results of the development of a web-based Community Service Program Implementation Information System using the prototyping development method. Additionally, the research aims to assess the quality of the developed software using the ISO 25010 standard. The data collection techniques used include questionnaires, interviews, observations, and documentation. This study resulted in a web-based Community Service Program Implementation Information System using the Laravel framework. The testing results indicated good quality, detailed across eight aspects: functional suitability scored 0.956 and 0.978 from the two functionality testers, both of which are categorized as "good"; usability received a score of 90.76%, categorized as "very feasible"; performance efficiency was graded A, indicating good quality; reliability showed a 99.93% score, categorized as good; security testing revealed level 1 vulnerability to password guessing attacks, while tests for SQL injection and cross-site scripting indicated that the system is secure from these attacks, overall indicating good security quality; maintainability scored 0.027 with an A grade from SonarQube tools, categorized as good; portability showed good quality after testing on four different operating systems and two different hardware types; and compatibility showed good quality after testing on five different browsers.
Implementasi Metode Rational Unified Process (RUP) dalam Pengembangan Sistem Informasi Presensi (SIM-PR) Menggunakan Teknologi QR Code Andi Muh. Sahirul Haq; Jumadi Mabe Parenreng; Muh Rais; Yasdin Yasdin
Progressive Information, Security, Computer, and Embedded System Vol. 2, No. 2 September (2024)
Publisher : Sakura Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/pisces.v2i2.535

Abstract

The attendance system in schools currently still uses a manual system such as wet signatures on paper media. With such a system, there are still shortcomings in terms of efficiency of manpower, cost, and time. Therefore, this study aims to develop an attendance system that uses QR Code technology to be more efficient. In addition, this study aims to test the system using the ISO/IEC 25010 standard as a reference, and to test the QR Code by considering the QR conditions and the scan distance to the system. This study uses the Rational Unified Process (RUP) development method. With this development method, an attendance system was obtained with very good test results and met the ISO/IEC 25010 standards in all existing aspects. In QR Code technology, the ideal distance for scanning is 5 cm - 25 cm from the camera where from various conditions that have been tested, only two QR conditions were found that could not be scanned by the system, including the QR Code covered by foreign objects, and the QR Code in a crumpled condition. Therefore, it can be concluded that the attendance system using QR Code technology that has been created can function well in terms of the system as well as the QR Code.
Inovasi Public Smart Dispenser: Solusi Air Minum Berkelanjutan dan Literasi Digital bagi Masyarakat M. Syahid Nur Wahid; Jumadi Mabe Parenreng; Musdania; Abdul Wahid; Ayu Lestari
Panrannuangku Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2025)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/panrannuangku4471

Abstract

Program pengabdian ini berfokus pada isu keterbatasan akses air minum layak dan meningkatnya sampah plastik akibat penggunaan AMDK di posko pengungsian Masjid Al-Anwar Blok 10 Perumnas Antang Makassar. Tujuan kegiatan ini adalah menyediakan sistem air minum berkelanjutan melalui implementasi Public Smart Dispenser (PSD) yang terintegrasi dengan Smart Water System (SWS), sekaligus meningkatkan literasi digital dan perilaku ramah lingkungan masyarakat pengungsi. Metode pelaksanaan meliputi analisis kebutuhan, perancangan dan pembuatan perangkat hardware–software, integrasi sistem, uji coba, sosialisasi, pelatihan relawan, serta pendampingan operasional berbasis pendekatan partisipatif-kolaboratif. Hasil pengabdian menunjukkan peningkatan akses air minum 24 jam, pengurangan signifikan sampah plastik, perubahan perilaku penggunaan tumbler dan galon isi ulang, peningkatan pemahaman transaksi digital, serta perbaikan kualitas lingkungan dan kesehatan. Program ini terbukti efektif dan berpotensi direplikasi pada posko pengungsian lain.
Development of an E-Module for the Computer Systems and Network Analysis Course Niranti Jihan Sari; Jumadi M. Parenreng; Jamaluddin P.
Journal of Education for Creativity and Innovation Vol. 1 No. 2 (2026): Februari
Publisher : PT. Global Research Collaboration

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

Abstract

Learning in the Computer Systems and Network Analysis course requires instructional materials that are well-structured, up-to-date, and easily accessible to support conceptual understanding and practical application within limited class time. This study aims to develop an e-module and to evaluate its validity, practicality, and effectiveness for use in the Computer Engineering Study Program at Universitas Negeri Makassar. The study employed a Research and Development (R&D) approach using the 4-D development model (define, design, develop, disseminate). The participants were students of the Computer Engineering Study Program, JTIK FT UNM. Data were collected through subject-matter expert validation, media expert validation, a student response questionnaire, and an instrument assessing learning outcomes after using the e-module. Data were analyzed using descriptive analysis. The results showed that the e-module achieved 100% in subject-matter expert validation and 100% in media expert validation, indicating that it was feasible/acceptable for use. In terms of effectiveness, student performance after using the e-module reached an average of 81.3% (very good category), while practicality analysis based on student responses yielded 70% (practical category). These findings indicate that the developed e-module meets feasibility criteria and supports the learning process. Therefore, the Computer Systems and Network Analysis e-module is deemed suitable as an instructional material to enhance learning quality in the Computer Engineering Study Program at Universitas Negeri Makassar.
Students Understanding of Network Virtualization in Computer Network Courses at Universitas Negeri Makassar Afrisal Arifin; Muh. Alief Rezky Anisar; Fadhlirrahman Baso; Salsa Dillah; Muliadi Muliadi; Dewi Fatmarani Surianto; Jumadi Mabe Parenreng
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 6 No. 2 (2025): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v6i2.1653

Abstract

Students’ understanding of network virtualization concepts in Computer Network courses remains limited, particularly in institutions with restricted access to advanced practical facilities. This study aims to analyze students’ comprehension of network virtualization and its relationship with learning experiences, technical skills, and perceptions of simulation tools. A quantitative cross-sectional survey was conducted with 202 students who had completed the Computer Network course and gained experience using Cisco Packet Tracer. The questionnaire was validated through expert judgment and construct validity testing via Exploratory Factor Analysis, and its reliability was confirmed. Findings indicate that four dimensions conceptual understanding, learning experience, technical skills, and perception of simulation tools consistently form a framework explaining students’ understanding of virtualization. Correlation analysis revealed that technical skills exert the strongest influence, while learning experiences and perceptions contribute additional support to conceptual comprehension. These results highlight the importance of integrating simulation media such as Cisco Packet Tracer into Computer Network courses, not only as a means of developing practical skills but also as a strategy to enhance students’ conceptual grasp of virtualization technologies increasingly demanded in the digital industry. This study contributes to the literature by emphasizing the cognitive dimension of simulation-based learning, an aspect often overlooked in prior research that mainly focused on technical performance.
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.
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 Al Imran Alfandy Pratama 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 Annisa Syah Shadira Ary Masharuddin Shiddiqi Asham Bin Jamaluddin Aswa, M. Andika Atthariq, Atthariq Ayu Lestari Ayu Safitri Azhar Azhar Briliant Noviansel 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 Fitra Yusuf 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 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 Maratus Shalihah Marwan Ramdhany Edy Massikki, Massikki Moghina Fahmi Muh Azikin Sofyan Muh Irfan Nur 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 Fathur Rachman Muhammad Ilyas Syarif Muhammad Mahdinul Bahar Muhammad Mahdinul Bahar Muhammad Reza Faisal, Muhammad Reza Muhammad Syaiful Muhammad Yahya Muhammad. Yusuf Mappeasse 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 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 Ramli Rasyid 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