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All Journal Jupiter JPM (Jurnal Pemberdayaan Masyarakat) SMARTICS Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Informatika Global JSAI (Journal Scientific and Applied Informatics) Jurnal Abdimas Mandiri Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Generic Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Teknik: Jurnal Ilmu Teknik dan Informatika Jurnal Pendidikan Sains dan Komputer J-ENSITEC (Journal of Engineering and Sustainable Technology) Jurnal Kolaborasi Sains dan Ilmu Terapan Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat
Indah Permatasari
Universitas Indo Global Mandiri
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Analisis Sentimen Komentar Netizen Terhadap 17+8 Tuntutan Rakyat Pada X Menggunakan Naive Bayes Classifier Fransisco Lucky Halawa; Rudi Heriansyah; Indah Permatasari
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 6 No. 1 (2026): Mei : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v6i1.1228

Abstract

This study analyzes netizen sentiment concerning the 17+8 public aspirations circulating the digital platform X spanning the period from August 18 through October 31, 2025. 1,837 comments obtained through scraping method. Classification Research stages include data preprocessing, sentiment weighting based on lexicon, and feature extraction using TF-IDF. Data 80% used for learning purposes and the remaining 20% utilized for validation. The findings reveal that the majority of comments, amounting to 81.14%, contained negative sentiment, while the remaining 18.86% were positive. The outcomes demonstrate that community reactions toward the 17+8 People's Demands were dominated by unsupportive views. From a theoretical standpoint this scholarly work offers to enriching knowledge concerning public opinion classification on political issues through a computational approach, while also serving as a reference for future research focused on improving the accuracy of sentiment analysis related to political dynamics and the behavior of state institutions.
Pengaruh Resize Citra terhadap Pengenalan Sidik Jari dengan Pendekatan Klasifikasi SVM: The Effect of Image Resizing on Fingerprint Recognition with the SVM Classification Approach Surya Ario Pratama; Gasim Gasim; Indah Permatasari
Jurnal Pendidikan Sains dan Komputer Vol. 6 No. 02 (2026): Call for Papers Juni 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v6i02.8711

Abstract

Fingerprint recognition systems on resource-limited devices often face the challenges of aggressive image dimension compression (resizing) and natural scan tilt variations. This research does not aim to design a commercial identification system, but rather to specifically analyze the limitations of image resolution reduction (64x64, 96x96, 128x128, and 256x256 pixels) and to evaluate the effectiveness of synthetic rotation augmentation in compensating for Support Vector Machine (SVM) classification performance. The test uses a primary dataset (100 images, 20 classes) partitioned stratified (80:20) to prevent data leakage, where the augmentation process produces a total of 1,600 training images. In comparison, 20 test images are retained as pure unseen data. The stage continues with feature extraction using the Rotation Invariant Local Binary Pattern (LBP-RoR, radius 1). The experimental results show that a 64x64-pixel size is the threshold for structural failure, at which the ridge topology is fatally damaged, leading to a test accuracy of 10%. The model exhibited the highest overfitting phenomenon at 128x128 pixel resolution (training accuracy 79.17%, testing 40%). The best generalization equilibrium point was achieved at 256x256 pixels with a testing accuracy of 50%. This maximum achievement, which was stuck at 50%, demonstrates the vulnerability of the LBP and linear SVM margin methods to pixel-artifact distortion (aliasing) caused by digital rotation. This study concludes that spatial data augmentation cannot fully substitute the need for a physical finger alignment module (fingerprint alignment) in the preprocessing stage.
Implementasi E-Learning dengan metode Rapid Application Development Di SMK Muhammadiyah 1 Palembang Hafiz Nursalam; Indah Permatasari; Tasmi
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 18 No 2 (2026): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/jupiter.v18i2.11896

Abstract

Perkembangan teknologi informasi yang pesat telah membawa perubahan signifikan dalam dunia pendidikan, termasuk dalam pengelolaan proses pembelajaran di Sekolah. SMK Muhammadiyah 1 Palembang sebagai sekolah digital dan berkemajuan menghadapi tantangan dalam menyediakan sistem pembelajaran berani yang terintegrasi, efektif dan sesuai dengan kebutuhan internal sekolah. Penelitian ini bertujuan untuk mengimplementasikan sistem e-learning berbasis Website dengan menggunakan metode Rapid Application Development (RAD) sebagai proses tahap pengembangan sistem. Teknik pengumpulan data melalui observasi, wawancara, dan studi pustaka. Pengembangan sistem dilakukan melalui empat tahapan metode RAD, yaitu perencanaan kebutuhan, desain pengguna, konstruksi, dan cutover . Sistem yang dibangun menyediakan berbagai fitur penting seperti manajemen pengguna, pengelolaan materi terbuka, tugas, kuis, serta evaluasi nilai siswa. Untuk memastikan sistem berjalan sesuai kebutuhan dilakukan pengujian menggunakan metode black box pengujian yang fokus pada validasi fungsi dari sisi pengguna. Hasil pengujian menunjukkan bahwa seluruh fitur yang diuji, seperti login, pendaftaran akun, pengelolaan kelas, tugas, materi dan kuis telah berjalan sesuai dengan spesifikasi. Sistem mampu memberikan respon yang tepat terhadap input valid , serta menolak input tidak valid serta menolak input tidak valid dengan menampilkan pesan kesalahan yang informatif. Pada implementasinya, akan mendukung visi misi SMK Muhammadiyah 1 Palembang menjadi sekolah unggul berbasis teknologi informasi. Diharapkan sistem ini dapat menjadi solusi jangka panjang dalam transformasi digital di lingkungan pendidikan vokasi
Automated DAPODIK Elementary School Data Extraction Using Selenium and BeautifulSoup M.Beni Tanjung; Herri Setiawan; Indah Permatasari
Jurnal Kolaborasi Sains dan Ilmu Terapan Vol. 4 No. 2 (2026): Jurnal Kolaborasi Sains dan Ilmu Terapan
Publisher : Utiliti Project Solution

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

Abstract

Educational data management is essential for supporting policy planning and improving decision-making processes in the education sector. Nevertheless, collecting DAPODIK data manually often requires considerable time and may increase the possibility of human error because the information is distributed across multiple web pages. This study aims to design and assess an automated system for extracting elementary school DAPODIK data through Python-based web scraping techniques. A quantitative experimental approach was applied using Selenium WebDriver and BeautifulSoup to obtain educational data from the official DAPODIK reference website. The collected dataset involved 40 elementary schools located in Lais District, Musi Banyuasin Regency, consisting of school identity, NPSN, accreditation level, number of students, number of teachers, and school status. Data preprocessing procedures included data cleaning, standardization, type conversion, and duplicate elimination with the assistance of the Pandas library. The experimental results indicate that the proposed system achieved a 100% extraction success rate with no detected errors and completed the scraping process within 133.61 seconds. In addition, the extracted dataset showed consistent and valid numerical as well as categorical information suitable for further analytical processing. The findings demonstrate that automated web scraping can improve the speed, accuracy, and consistency of DAPODIK data collection compared with conventional manual methods. Furthermore, the developed framework has the potential to support large-scale educational data management and monitoring systems in the future.
Faktor Evaluasi Usabilitas dalam Sistem e-learning dengan Panduan Tinjauan Sistematik PRISMA: Indonesia Indah Permatasari; Peny Meliaty Hutabarat; Evi Purnamasari
J-ENSITEC (Journal of Engineering and Sustainable Technology) Vol. 9 No. 02 (2023): June 2023
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v9i02.3662

Abstract

The usability evaluation of e-learning system is an important stap to understanding the quality of the interaction between the user and the system in supporting the learning process. To understan the current approaches, a systematic review was condusted using the PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) guidelines. A systematic review was carried out on 6 (six) scientific databases within a certain publication period. After applying various exclusion criteria, there were fifteen documents for further analysis. An analysis of the full text of the selected articles was conducted to see the approach used in evaluating the usability of the e-learning system. The author found as many as 51 factors that became criteria in assessing the usability of e-learning systems. In general, the various existing approaches refer to the two basic approaches that have been offered by previous researchers. The latest approaches in assessing the usability of e-learning systems are still modifications and adjustments from the approaches that have been proposed previously. Modifications were made to adapt to the evaluation context and use of the studied e-learning system.
Pengembangan Materi Pembelajaran dengan Memanfaatkan Teknologi Augmented Reality untuk Guru Sekolah Menengah Atas Indah Permatasari; Imelda Saluza; Evi Yulianti; Mustafa Ramadhan
Jurnal Pemberdayaan Masyarakat Vol 10 No 1 (2025): Mei
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v10i1.10906

Abstract

The Learning Material Development Training Utilizing Augmented Reality Technology at SMA Negeri 1 Banyuasin I aimed to enhance teachers' digital skills in creating interactive, AR-based teaching materials. Involving 33 teachers, the training was carried out through three phases: preparation, implementation, and evaluation. The preparation phase included a needs assessment and interviews to understand the technological limitations at the school and teachers' familiarity with AR. Based on this assessment, training materials were developed covering AR fundamentals and the use of the Assemblr Edu application. During the implementation phase, participants attended theory sessions on AR concepts and practical sessions using Assemblr Edu to develop teaching materials for their respective subjects. Evaluation was conducted via pre-tests, post-tests, and a satisfaction survey. Results showed that 85% of participants successfully produced suitable AR-based teaching materials, while 93% gave a satisfaction rating of 4 or higher. This program effectively improved teachers' skills in AR technology use, laying a foundation for more interactive and modern learning experiences at the school.
Prediksi Tingkat Keamanan Terhadap Pencurian Menggunakan Naive Bayes di Wilayah Sektor Kepolisian Merapi Barat Sutria Rahmi; Indah Permatasari; Evi Purnamasari
SMARTICS Journal Vol 12 No 1 (2026): Journal SMARTICS (April 2026)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v12i1.13919

Abstract

Theft remains one of the most prevalent forms of criminal activity in the jurisdiction of the West Merapi Police Sector, significantly impacting public safety and community security. Historically, the handling and securing of this region has been reactive in nature, lacking a predictive system capable of estimating theft risks preventively. This study aims to develop a predictive model for regional security levels related to theft cases using a machine learning approach. The data utilized in this research comprises secondary data obtained from 459 theft case reports documented by the West Merapi Police Sector from 2021 to 2024. Ten relevant variables were selected as features, while three security level categories (Low, Medium, and High) served as target classes. Data preprocessing included data cleaning, variable transformation, and label encoding. The Naive Bayes algorithm was employed with a 70% training data and 30% testing data split. The results demonstrated that the Naive Bayes method achieved an accuracy of 76.09% in predicting regional security levels. The model exhibited optimal performance for the High security level class, while the Low class showed lower performance due to imbalanced data distribution. This research demonstrates that police case report data can be effectively utilized to support data-driven risk analysis and has the potential to serve as a decision-making tool for preventive measures by law enforcement agencies.
Co-Authors Dewi Sartika Dona Marcelina Evi Purnamasari Fransisco Lucky Halawa Gasim Hafiz Nursalam Herri Setiawan Imelda Saluza, Imelda K. Ghazali K. Ghazali Lesi Hertati M.Beni Tanjung Muhammad Ikhwan Jambak Muhammad Irfan Mustafa Ramadhan Nuraini Nuraini Peny Meliaty Hutabarat Roswaty Roswaty Rudi Heriansyah Sartika, Dewi Sumi Amariena Hamim Surya Ario Pratama Sutria Rahmi Tami Pames Riwansah Tasmi Yulianti, Evi Yulius, Yosef