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All Journal Jupiter 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 Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat
Indah Permatasari
Universitas Indo Global Mandiri
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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
Co-Authors Dewi Sartika Dona Marcelina Evi Purnamasari Fransisco Lucky Halawa Gasim Gasim Hafiz Nursalam Imelda Saluza, Imelda K. Ghazali K. Ghazali Lesi Hertati Muhammad Ikhwan Jambak Muhammad Irfan Mustafa Ramadhan Nuraini Nuraini Peny Meliaty Hutabarat Roswaty Roswaty Rudi Heriansyah Sartika, Dewi Sumi Amariena Hamim Surya Ario Pratama Tami Pames Riwansah Tasmi Yulianti, Evi Yulius, Yosef