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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Advances in Applied Sciences IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya Dinamik Jurnal Simetris Abdimas Telematika Jurnal Transformatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat IJCIT (Indonesian Journal on Computer and Information Technology) Journal of Economic, Bussines and Accounting (COSTING) Voice Of Informatics STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Building of Informatics, Technology and Science Jurnal Teknologi Informasi dan Multimedia Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Scientific Journal of Informatics Jurnal E-Komtek Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Sistem Komputer dan Informatika (JSON) JITU : Journal Informatic Technology And Communication Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) International Journal of Quantitative Research and Modeling JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sistem Informasi Galuh SmartComp Tematik Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Muria Pengabdian Masyarakat Jurnal DIMASTIK Palawa Jurnal Pengabdian Kepada Masyarakat
Susanto Susanto
Universitas Semarang
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Klasifikasi Sentimen Ulasan Baby Panda School Bus Menggunakan N-Gram TF-IDF dan XGBoost Basworo Ardi Pramono; Kharisma Ayu Febriana; Susanto
Jurnal Sistem Informasi Galuh Vol 4 No 2 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i2.6047

Abstract

User reviews on Google Play Store provide valuable information for understanding user perception of mobile applications, including children's educational games. However, review data are commonly unstructured, informal, and difficult to analyze manually. This study aims to classify the sentiment of Baby Panda School Bus game reviews using lexicon-based pseudo-labeling, word n-gram TF-IDF, and XGBoost. The dataset was collected from Google Play Store and contained 6,299 initial reviews. After duplicate removal, text cleaning, normalization, tokenization, stopword removal, and stemming, 5,337 reviews were used for modeling. Sentiment labels were generated automatically using the InSet lexicon into positive, neutral, and negative classes. The dataset was split into 80% training data and 20% testing data using stratified sampling. The selected text representation was word n-gram TF-IDF with unigram, bigram, and trigram features, followed by XGBoost classification. The experimental results achieved an accuracy of 85.86%, macro F1-score of 83.57%, and weighted F1-score of 85.61%. These findings indicate that n-gram TF-IDF and XGBoost can effectively classify lexicon-based sentiment patterns in Indonesian mobile application reviews.
Analisis Efektivitas Teknik File Carving pada Pemulihan Data Digital Menggunakan PhotoRec Susanto; Irfan Hanafi; Narisa Aulia; Muhammad Jauhar Fardani; Muhammad Nur Irfan
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2245

Abstract

Data loss is a critical issue in the digital era, both in everyday computing and in forensic investigations. This study aims to evaluate the effectiveness of PhotoRec, an open-source file carving tool, in recovering lost files from a FAT32 storage medium. A strict digital forensic approach was applied by performing disk imaging, preserving evidence integrity, and documenting each stage in detail. Data loss was simulated through logical deletion and by scanning unallocated sectors to closely replicate real-case conditions. PhotoRec was then utilized to select the target media, identify partitions, determine the file system type, and scan free space to extract files based on signature recognition. The findings show that PhotoRec successfully recovered a total of 50 files, including all primary files deleted during the experiment. In addition, several system-related files such as ELF were also recovered, illustrating the aggressive nature of carving techniques that extract any recognizable data structure. These results confirm that PhotoRec can operate effectively in data loss scenarios on FAT32 media, even when file metadata is no longer available. This study contributes to a deeper understanding of PhotoRec’s performance within the context of digital forensics and highlights its relevance as an investigative tool that prioritizes accuracy, integrity, and procedural traceability.
Co-Authors Abriansah, Fausta Rizky Adam Pradana Adellia Hilda Putri Ahmad Maulana Arif Ahmad Syauqi Alauddin Maulana Hirzan Alda Hani Meidina Alfian Nur Fariq Anggi Ratnasari Annisa Aurelia Fitriani Aprih Santoso April Firman Daru Ardi Pramono Ardiyanto, Ilham Aria Hendrawan, Aria Astrid Novita Putri, Astrid Asyira Andhini Luna Atmoko Nugroho Az-Zahra Jasmine Sya'bania Basworo Ardi Pramono Burhan Harminanto Cahyono, Yudi Cholil, Saifur Rohman Dewanti, Tita Risa Dewi Nurdiyah, Dewi Dimas Dwi Budiarjo Dipa Teruna Awaloedin Dlovan Ferdiansyah Edi Widodo, Edi Eka Putri Rachmawati Erica Rahmawati Faranisa Ulya Ashari Febrian Wahyu Christanto Ferdian, Praditya Rendi Fila Puspita Sari Firdaus, Azmi Maulana Gilang Akbar Romadhoni Hafidz Zamzam Albani Hafiq Wardana Handayani, Sri Insannul Imam Rohny Khoirri Irfan Hanafi Jovita Kharisma Ayu Febriana Khoirudin Khoirudin, Khoirudin Kurniawan, Nanda Dwi Kurniawan, Nurdin Laely Syafitri Lila Anggraini Mahjid Herlambang Mar’atuzzulfa, Salma Masithoh, Mauluddiah Maulana Bahrul Alam Mauriski Syahruli Mikael Arvito Kurnia Adi Moch Rafi Dewayanto Moh Harysakti Rahanyamtel Mojang Widhiyani Ashari Muhammad Jauhar Fardani Muhammad Nur Irfan Muhsinin, Muhammad Muhsinin Mukhammad Said Riza Zudi Muzzakin, Muhamad Nabela Yulian Anggraini Nabilah Putri Wijaya Najihatul Faridy Narisa Aulia Nela Soca Putri Ardana Ningrum, Setya Nur Wakhidah Nur Wakhidah Nurtriana Hidayati Nurul Arini Obing Zaid Sobir Patmawati, Putri Pipit Aryani Prind Triajeng Pungkasanti, Prind Triajeng Pulung Nurtantio Andono Purbo Pangestu Satria Jati Putri, Nela Aulina R. Dwi Widi Pratito Sri Nugroho Radhita Amelia Pasha ramadhani, jovita wayan Ramdan Yusuf Rangga Rahmat Prayuda Rastri Prathivi Rastri Prathivi Rati - Riana Rico Cahyono Riki Ardi Pranata Rosidah, Nafiati Sadna Putri Yuliarti Saifur Rohman Cholil Siti Asmiatun, Siti Sri Handayani Teguh Rizki Saputra Titis Handayani Titis Handayani Titis Handayani Titis Handayani Vensy Vydia Victor Gayuh Utomo Whisnumurti Adhiwibowo Widyandayani, Anita Galih Yasiri, Jamilatur Rizqil Yekti Adi Prasetyo Yogi Agus Setiawan Yudi Cahyono Yudi Prayoga Yurista Kumkamdhani, Tirta