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All Journal JUSTIN (Jurnal Sistem dan Teknologi Informasi) SENTRI: Jurnal Riset Ilmiah
Safitri, Andin Eka
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Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice

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Media Pembelajaran Matematika Pada Usia Dini Menggunakan Augmented Reality Sutresna, Jaka; Yanti, Fitri; Safitri, Andin Eka
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 8, No 4 (2020)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.886 KB) | DOI: 10.26418/justin.v8i4.42900

Abstract

Kurangnya minat belajar matematika pada anak-anak usia dini, Membuat pengajar kesulitan dalam menyampaikan materi matematika pada anak-anak usia dini. Rendahnya minat belajar matematika disebabkan oleh beberapa hal, salah satunya adalah cara guru menyampaikan materi pelajaran yang kurang menarik sehingga anak-anak bosan. Bagaimana memanfaatkan teknologi agar anak-usia dini tertarik belajar angka dan dan materi matematika. Yang akan dilakukan untuk menarik anak-anak dalam mempelajari angka dan materi matematika dalam proses belajar dengan teknologi Augmented Reality. Karena dengan Augmented Reality dapat menampilkan objek virtual ke dalam dunia nyata, Augmented Reality berjalan real time, adanya interaksi dengan benda 3 dimensi. Teknologi AR merupakan perkembangan perangkat mobile dengan fasilitas kamera bersolusi tinggi dan sensor-sensor yang mendukung. Maka semakin besar kemungkinan anak-anak usia dini paham pada materi yang disampaikan oleh pengajar . Belajar menggunakan media pembelajaran augmented reality tertentu akan lebih menarik anak-anak usia dini untuk minat dan memahami materi yang di sampaikan oleh para pengajar.
Workers' Wage Payment Information System Using the Scrum Method Gulo, Yeskarwani; Safitri, Andin Eka; Sari, Willis Puspita
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 8 (2025): SENTRI : Jurnal Riset Ilmiah, Agustus 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i8.4443

Abstract

Employees receive routine services and compensation in the form of salaries as part of their work performance through company operations. However, several companies still rely on manual payroll processing, including those that participated in a recent business exhibition. One such company continues to use Microsoft Office applications to manage payroll data manually. This outdated method significantly slows down the process of generating employee payslips and frequently leads to calculation errors in employee compensation. Furthermore, the Human Resources Department (HRD) is required to manually verify all data before integrating the final salaries of permanent employees into the monthly payroll report. This process is not only time-consuming but also increases the risk of human error and administrative inefficiency. As a response to these challenges, the company developed a web-based employee compensation information system. This system is designed to automate the entire payroll process, from attendance tracking and allowance calculation to deductions and payslip generation. With simultaneous salary data entry and report generation, the system improves business performance, enhances accuracy, and reduces processing time. The final outcome of this study is an automated payroll system that adheres to predefined business rules and allows for easy future updates. Most importantly, it helps reduce human error in payroll calculations by up to 60%, offering a more efficient and reliable payroll management solution.
Co-Authors Fitri Yanti Gulo, Yeskarwani Sari, Willis Puspita Sutresna, Jaka