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All Journal Semantik Jurnal Simetris Jurnal Sains dan Teknologi Prosiding SNATIF Jurnal Edukasi dan Penelitian Informatika (JEPIN) Seminar Nasional Informatika (SEMNASIF) Proceeding SENDI_U Sistemasi: Jurnal Sistem Informasi JURNAL ILMIAH INFORMATIKA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal DISPROTEK JSiI (Jurnal Sistem Informasi) Jurnal Nasional Komputasi dan Teknologi Informasi JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal SITECH : Sistem Informasi dan Teknologi Jurnal Teknologi Informasi dan Pendidikan Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Information Technology Ampera JoMMiT : Jurnal Multi Media dan IT ABDIPRAJA (Jurnal Pengabdian kepada Masyarakat) Muria Jurnal Layanan Masyarakat Jurnal Locus Penelitian dan Pengabdian Jurnal Teknik Informatika Journal of Scientech Research and Development ABDINE Jurnal Pengabdian Masyarakat Jurnal Teknik Indonesia Jurnal Sistem Informasi dan Manajemen Prosiding Seminar Nasional Unimus Media Elektrik
R Rhoedy Setiawan
Universitas Muria Kudus
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Neuroscience Nursing Public Health Social Sciences Transportation Other

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Journal : jurnal sistem komputer dan informatika json

 1 
Web-Based Academic Information and Monitoring System at Kudus State Madrasah Ibtidaiyah Putri, Sevara Humaira; Rhoedy Setiawan; Yudie Irawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 1 (2025): September 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i1.9070

Abstract

This research is based on the needs of Madrasah Ibtidaiyah Negeri Kudus to improve communication and academic management in the digital age. The main issues raised are suboptimal grade recording systems, absenteeism, and the rapid and structured dissemination of important information. The objective of this research is to create and develop a web-based academic information system that can be monitored via WhatsApp. This system will enable teachers, parents, and school administrators to easily access information. The Waterfall software development model, which consists of the stages of needs analysis, design, implementation, testing, and maintenance, is the methodology used in this research. Data was collected through interviews and direct observation of academic activities on the school campus. This system enables the recording of student grades and attendance data on a daily basis. It also allows parents to receive automatic notifications about learning activities, class schedules, and other important information. This research resulted in a web-based application that has the ability to improve academic recording and reporting, enhance communication between schools and parents, and support real-time transparency of academic information. By using this system, the State Elementary School in Kudus is expected to be better prepared to face the digital transformation occurring in the world of education.
Analisis Sentimen Ulasan Pengguna LinkedIn Menggunakan Naïve Bayes dan K-Nearest Neighbor Firdaus, Ricko Muhammad; Eko Darmanto; Rhoedy Setiawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9486

Abstract

Perkembangan aplikasi profesional seperti LinkedIn mendorong meningkatnya jumlah ulasan pengguna, namun volume data yang besar menyulitkan proses analisis sentimen secara manual. Permasalahan utama dalam penelitian ini adalah bagaimana mengklasifikasikan sentimen ulasan pengguna secara akurat untuk mengetahui persepsi pengguna terhadap aplikasi LinkedIn. Penelitian ini bertujuan untuk membandingkan kinerja algoritma Naïve Bayes dan K-Nearest Neighbor (KNN) dalam analisis sentimen ulasan pengguna LinkedIn. Metode penelitian yang digunakan adalah CRISP-DM, dengan tahapan preprocessing teks .Ekstraksi fitur dilakukan menggunakan metode Term Frequency–Inverse Document Frequency (TF-IDF). Dataset yang digunakan terdiri dari 3.500 ulasan pengguna dengan pembagian data latih dan data uji sebesar 80% dan 20%. Hasil evaluasi menunjukkan bahwa algoritma Naïve Bayes memperoleh performa yang lebih baik dengan accuracy sebesar 88%, nilai AUC sebesar 0,9424, sedangkan KNN menghasilkan accuracy sebesar 79% dan nilai AUC sebesar 0,8557. Hasil penelitian ini menunjukkan bahwa Naïve Bayes lebih efektif dalam mengklasifikasikan sentimen ulasan aplikasi LinkedIn dan dapat diimplementasikan ke dalam aplikasi berbasis web sebagai sistem pendukung analisis sentimen.
Co-Authors - Supriyono Aditia Rasid Adrianus Wayan Dian Adi Pamungkas Ahmad Jazuli Ahmad Jazuli Alvin Rainaldy Hakim Amalia Safitri Amara, Radinda Amelia, Dwi Andy Prasetyo Utomo Anteng Widodo Arif Setiawan Arif Setiawan Arifviando, Muhammad Villa Aulia Ina Rahma Budi Cahyo Wibowo Budi Gunawan Budi Gunawan Chalim, Noor Dhila Resky Effenti Diana Laily Fithri Diana Laily Fithri Diana Laily Fithri Diana Dimas Yoga Ardyansyah Djoko Utomo Dwi Septiani Dyah Ayu Sukmaningtyas Eko Darmanto Elyza Dewi Fortuna Eviana Hartanti Fajar Nugraha Fatmala, Indah Firdaus, Ricko Muhammad Fitriana Habibullah, Eggy Agusti Hakim, Adam Fathul Hapsari, Annisa Putri Hidayah, Lisna Hidayat, Muhammad Fariz Azka Hidayatullah, Muhamad Arzak Irawan , Yudie Janah, Susi Nor Jayanti, Septina Dwi Kalya Agil Prasetya Khasan, Nur Akhmad Khoiroh, Zahro Istitho'atul Laily Fithri, Diana Lathifa, Ardelia Khansa Mahrom, Titis Chusnul Mochammad Imron Awalludin Mohammad Dahlan, Mohammad MUHAMMAD ARIFIN Muhammad Arifin Muhammad Yusuf Aji Wijaya Mukhamad Nurkamid Noor Latifah Nurul Inayah Nurwijayanti Pratomo Setiaji Putri Kurnia Handayani Putri, Noor Syafa’ah Kusuma Putri, Sevara Humaira Rahmawati, Yulinda Rasid, Aditia Ratri Rahmawati Reformasiyanto, Mohammad Humam Azka Rio Saputro, Herdian Rizkysari Mei Maharani Rizkysari Mei Maharani, Rizkysari Mei Romadhon, Zainur Santy, Nawal Ari Sari, Luthfiana Semit, Danial Sofian, Ahmad Sri Mulyani Sulistiowati Apriliya Eka Wardani Supriyono Supriyono Supriyono Syafiul Muzid Taufiq, Muhammad Bagas Tri Listyorini Tutik Khotimah Widiyatmoko, Fahmi Agung Windraningsih Wiwit Agus Triyanto Yasmin, Diana Nur Yudie Irawan Yudie Irawan