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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Artificial Intelligence and Digital Business
Surbakti, Gita Syahfitri Wulandari
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Perancangan Sistem Informasi Penjualan Seragam Sekolah Dasar Berbasis Mobile dengan Menggunakan Metode Prototype Alda, Muhamad; Hidayat, Riyan; Surbakti, Gita Syahfitri Wulandari; Azmi Pohan, Wulan; Tarigan, Tasya Ika Saylani
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.9001

Abstract

Advances in information and communication technology have driven digital transformation across various sectors, including education and business, making the use of technology crucial for data processing and sales. Information systems are capable of integrating people, data, processes, and technology to improve efficiency and support decision-making. In the context of education, the use of technology for sales and data processing is important for increasing effectiveness and service quality. However, in the education sector, the sale of elementary school goods is still largely done manually, which can lead to problems such as data inconsistencies, delayed reports, and decreased efficiency. Therefore, an information system is needed that can manage sales transactions and data in an integrated and automated manner. Various previous studies have shown that implementing a digital sales information system can improve data processing effectiveness, minimize recording errors, and support managerial decision-making. As the use of mobile devices increases, the development of mobile-based information systems becomes a relevant solution because it offers ease of access, flexibility of use, and improved customer service quality. In addition, the prototyping method has proven effective in system development because it directly involves users, resulting in a system that is more aligned with user needs. Based on these problems and previous research findings, this study aims to design a Mobile-Based Elementary School Uniform Sales Information System using the prototyping method. This method allows for direct user involvement in the design process, thus creating a system design that is more aligned with user needs. The research results include a system design that encompasses process modeling using the Unified Modeling Language (UML) and the design of the mobile application's user interface. This system design is expected to serve as a reference in the development of an integrated mobile-based school information system and improve efficiency in data processing and sales.
Prediksi Keputusan Kehadiran Mahasiswa Menggunakan Metode Naive Bayes Dengan Pendekatan Backward Reasoning Anugraha, Daffa; Shiddiq, Jati Nur; Surbakti, Gita Syahfitri Wulandari; Sari, Ika Yusnita
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.5317

Abstract

Kehadiran mahasiswa merupakan salah satu indikator penting dalam proses pembelajaran di perguruan tinggi karena berpengaruh langsung terhadap pemahaman materi, keterlibatan akademik, dan capaian hasil belajar. Tingkat ketidakhadiran yang tinggi dapat menjadi permasalahan serius apabila tidak diidentifikasi sejak dini. Penelitian ini bertujuan untuk memprediksi keputusan kehadiran mahasiswa menggunakan metode Naive Bayes dengan pendekatan Backward Reasoning guna menghasilkan model prediksi yang tidak hanya akurat, tetapi juga mudah diinterpretasikan. Penelitian ini menggunakan metode kuantitatif dengan eksperimen komputasi. Data diperoleh melalui kuesioner yang diisi oleh 25 mahasiswa Program Studi Sistem Informasi Universitas Islam Negeri Sumatera Utara. Variabel yang digunakan meliputi semester, tingkat pemahaman materi, metode pengajaran dosen, beban tugas, kondisi kesehatan, motivasi belajar, kebiasaan belajar, jarak tempat tinggal ke kampus, kondisi cuaca, dan waktu pelaksanaan perkuliahan. Data diproses menggunakan algoritma Multinomial Naive Bayes dengan pembagian data sebesar 80% untuk data latih dan 20% untuk data uji. Hasil pengujian menunjukkan bahwa model memperoleh tingkat akurasi sebesar 80% dengan nilai F1-score sebesar 0,80 serta performa yang stabil berdasarkan pengujian 5-Fold Cross Validation. Selanjutnya, pendekatan Backward Reasoning digunakan untuk menelusuri faktor-faktor yang paling berpengaruh terhadap hasil prediksi. Hasil analisis menunjukkan bahwa kondisi kesehatan dan motivasi belajar merupakan faktor dominan dalam menentukan keputusan kehadiran mahasiswa dibandingkan faktor eksternal seperti cuaca dan jarak. Penelitian ini diharapkan dapat menjadi dasar pengembangan sistem pendukung keputusan untuk membantu pihak akademik dalam melakukan intervensi dini guna meningkatkan tingkat kehadiran mahasiswa
Co-Authors Anugraha, Daffa Azmi Pohan, Wulan Ika Yusnita Sari Muhamad Alda Riyan Hidayat Shiddiq, Jati Nur Tarigan, Tasya Ika Saylani