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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Sains dan Teknologi JSI: Jurnal Sistem Informasi (E-Journal) Prosiding SNATIF E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi Jurnal DISPROTEK Jurnal Teknologi Informasi MURA Journal of Dedicators Community Jurnal Nasional Komputasi dan Teknologi Informasi EDUMATIC: Jurnal Pendidikan Informatika Jurnal SITECH : Sistem Informasi dan Teknologi Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat JURSIMA (Jurnal Sistem Informasi dan Manajemen) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Informasi dan Sistem Komputer Journal of Information Technology Ampera Indonesian Journal of Technology, Informatics and Science (IJTIS) Jurnal Computer Science and Information Technology (CoSciTech) Journal of Software Engineering Ampera Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Jurnal UNITEK Jurnal Mahasiswa Sistem Informasi (JMSI) GANESHA: Jurnal Pengabdian Masyarakat ABDIPRAJA (Jurnal Pengabdian kepada Masyarakat) Indonesian Journal of Networking and Security - IJNS Muria Jurnal Layanan Masyarakat Jurnal Teknik Informatika PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Sains Informatika Terapan (JSIT) Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Jurnal Teknik Indonesia JURSIMA Jurnal Teknologi Informasi Mura JRIIN :Jurnal Riset Informatika dan Inovasi Jurnal Sistem Informasi dan Manajemen
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Penerapan Sistem E-commerce Sebagai Solusi Digitalisasi Penjualan di PR Oemega Dwipa Pradhana, Ananda Rifqi; Diana Laily Fithri
Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 2 (2026): Volume 7, No 2, Juni 2026
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/atjpm.v7i2.7688

Abstract

PR Oemega Dwipa merupakan UMKM yang masih menggunakan penjualan konvensional via WhatsApp/Facebook, menyebabkan pencatatan tidak efektif dan jangkauan pasar terbatas. Tujuan utama kegiatan ini adalah merancang dan menerapkan sistem e-commerce berbasis web untuk digitalisasi proses bisnis mitra. Metode pelaksanaan kegiatan menggunakan pendekatan System Development Life Cycle (SDLC) model Waterfall yang disesuaikan untuk pengabdian, meliputi tahap analisis kebutuhan (observasi, wawancara), perancangan sistem, implementasi (coding), dan diakhiri dengan sosialisasi serta pelatihan kepada mitra. Hasil kegiatan ini adalah sebuah website e-commerce yang fungsional dan telah disosialisasikan kepada 1 (satu) mitra sasaran, yaitu pemilik usaha. Manfaat utama yang diperoleh adalah peningkatan efisiensi penjualan, proses pencatatan transaksi yang kini terpusat dan rapi, serta manajemen stok yang terintegrasi secara real-time. Kesimpulan dari kegiatan ini adalah penerapan e-commerce berhasil memberikan solusi digital yang praktis, meningkatkan efisiensi operasional, dan membuka potensi jangkauan pasar yang lebih luas bagi PR Oemega Dwipa.
Analisis Gaya Hidup Mahasiswa dalam Memprediksi Tingkat Stres Menggunakan Algoritma Decision Tree dan Random Forest Thoha, Muchammad; Muhammad Ary Sanjaya Putra; Ary Kania Sya'diah; Aulia Nurhaliza; Diana Laily Fithri
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 2 (2025): JSI: Jurnal Sistem Informasi (E-Journal)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i2.282

Abstract

HIgh Stress levels in students are an important issue that can affect their mental health and academic performance. This study aims to analyze the influence of students' lifestyles on stress levels using Machine Learning approaches, specifically Decision Tree and Random Forest algorithms. Data was collected through surveys on sleep habits, diet, physical activity, and social media usage. The analysis results show that lifestyle has a significant correlation with stress levels, and the Random Forest model provides higher prediction accuracy than Decision Tree. The findings are expected to provide a basis for preventive decision-making to manage stress among students.
Sentiment Classification of MyTelkomsel Reviews Using SVM and Logistic Regression Adinata, Rijal Bagus; Supriyono, Supriyono; Fithri, Diana Laily
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 1 (2026): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.110409

Abstract

The development of digital technology has encouraged increased user participation in expressing opinions through review platforms, such as the Google Play Store. MyTelkomsel's application, a digital service from Indonesia's leading telecommunications provider, has received various responses, from appreciation to complaints related to app performance and customer service. This study aims to evaluate sentiment in user reviews using Support Vector Machine (SVM) and Logistic Regression algorithms. Data was collected from the Google Play Store and underwent a series of pre-processing stages, including data cleaning, case folding, normalization, tokenization, stopword removal, and stemming. The feature extraction process uses the TF-IDF approach, while model performance evaluation is based on accuracy, precision, recall, F1-score, and Area Under Curve (AUC) metrics. The results showed that the performance of both models was relatively balanced, but SVM exhibited an advantage in recall for positive sentiment (82%), accuracy (93.36%), and AUC (0.9680). Logistic Regression excels in precision (99%) in the positive class. WordCloud visualization illustrates consistency of dominant words in each sentiment class, reflecting the model's ability to identify patterns in user opinion. These findings are expected to contribute to the improvement of digital services based on user input.
Co-Authors - Sucipto - Supriyono Achmad Ridwan Achmad Ridwan, Achmad Adinata, Rijal Bagus Aditiya, Natasya Aditya Firman Syah Adiyono, Soni Agil Rafsanjani, Ahmad Syaifudin Andani, Indah Setia Andy Prasetyo Utomo Andy Prasetyo Utomo Anindya, Dika Mufti Anteng Widodo Aprilia Damayanti Arif Setiawan Arif Setiawan Arina Fawaida Arkanda, Rizal Naufal Farras Ary Kania Sya'diah Ashari Mahfud Aulia Ina Rahma Aulia Nurhaliza Budi Gunawan Budiman, Nita Adriyani Budiman, Nita Andriani Burhanuddin, Anas Deni Agus Haryadi Diah Ayu Susanti Dian Aditya Dwika Mahendra Edris Zamroni Eka Wakhyu Agustina Eko Darmanto Fajar Nugraha Fajar Nugraha Fajar Nugraha Fandi Ahmad Fathon, Ulil Firdausiyah, Auliya Gutti Zaidan Syauqi Habibullah, Eggy Agusti Handayani, Anisa Hidayah, Lisna Iftikhar Rizqullah Ijlal, Muhammad Yusuf Luthfi Indah Lestari, Indah Indah Setia Andani Kurniawan, Muhammad David Lina Anjelina Mochammad Imron Awalludin Moh Adi Kurniawan Moh. Rizal Alfi Na'im Mohammad Fajar Sirullah Muhammad Arifin Muhammad Ary Sanjaya Putra Muhammad Rafif Rabbani Muhammad Rizki Arrohman Muhammad Wifqi Aufal Maulana Mukhamad Taqwa Nuddin, Mukhamad Taqwa Narendra Saputra Natasya Aditiya Nesicha, Yutia Nia Nikmatul Khoiriyah Noor Latifah Noor Latifah Oktafiyani, Feby Oktavia, Adinda Bintang Paramitha Sylvia Dewi Pradhana, Ananda Rifqi Pratama, Wildan Pratomo Setiaji Putri Kurnia Handayani Putri, Fadina Salwa Aulia Putri, Noor Syafa’ah Kusuma R Rhoedy Setiawan Rahmawati, Sinta Devi Ratri Rahmawati Rika Santi Risnawati, Heni Rizkysari Meimaharani Rochim, Galuh Nur Rochmad Winarso Rochmad Winarso Rokhman, Arif Maulana Romadhon, Zainur Safera, Asywila Huda Safrida Ika Febrianti Saidun Basyar, Aminun Fais Salsabila, Syafira Sandi Ashriel Nugraha Santoso Santoso Sari, Nesti Listia Setiawan, Dave Andre Setiawan, Dave Andre Setyawan, Moh Dodi Shifaul Akmal Dzauqi Silvia Himmatul Aliyyah Sonia Shekha Anggriani Sri Mulyani Sulistiowati Apriliya Eka Wardani Supriyono Supriyono Susanti, Diah Ayu Susanto, Muhammad Amzis Syaputa, Muhammad Rioardian Taufiq Hidayat Thoha, Muchammad Wiwit Agus Triyanto Yudie Irawan Yudie Irawan Zulfa Himmatul Ulya