Tasliyah Harmaini
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IMPLEMENTASI ALGORITMA NAIVE BAYES PADA APLIKASI LAPORAN PENGADUAN MASYARAKAT KECAMATAN SIMPANG KANAN Amanda Br Daulay; Antoni; Tasliyah Harmaini
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 9 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi September 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i9.924

Abstract

Fast, transparent, and responsive public services are key indicators of successful government administration. However, the management of public complaints at the subdistrict level is still largely done manually, resulting in issues with data management, priority setting, and the speed of follow-up actions. This study aims to design and implement a Web-based Public Complaint Report Priority Information System using the Naive Bayes algorithm to automatically classify report priorities into three categories: high, medium, and low. The system is developed using PHP programming language, MySQL database, and applies text preprocessing techniques (data cleaning, stopword removal, and stemming) before calculating probabilities using Naive Bayes. The development method used is the Software Development Life Cycle (SDLC) waterfall model, which includes requirements analysis, design, implementation, and testing. The implementation results show that the system can correctly classify report priorities based on the provided training data and facilitates the admin in monitoring and following up on complaints. This research is expected to provide a practical solution to improve the effectiveness of public services, particularly in Simpang Kanan Subdistrict, and can be further developed to cover a broader area.
PENERAPAN ALGORITMA RAY CASTING  PADA APLIKASI PRESENSI ONLINE SISWA SMP NEGERI 6 MEDAN Devi Lestari; Antoni; Tasliyah Harmaini
AT-TAKLIM: Jurnal Pendidikan Multidisiplin Vol. 2 No. 9 (2025): At-Taklim: Jurnal Pendidikan Multidisiplin (Edisi September)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/at-taklim.v2i9.923

Abstract

Student attendance is one of the essential aspects of school administration to monitor students' presence and discipline. The manual attendance system still used at SMP Negeri 6 Medan is considered ineffective as it requires time, effort, and is prone to recording errors. This study aims to develop a web-based online attendance application that utilizes the Ray Casting algorithm to verify students' locations when marking their attendance. The Ray Casting algorithm is used to determine whether the GPS coordinates of the student’s location are within a polygon area representing the school’s location. The system is built using PHP, HTML, CSS programming languages, and a MySQL database, along with GPS-enabled devices. The system development method uses an Agile approach, which includes planning, design, coding, testing, and implementation stages. Testing was conducted on a number of students from SMP Negeri 6 Medan, with main features including user login, GPS location retrieval, selfie photo, and attendance history recording. The test results show that the system can verify attendance automatically and accurately. This application is expected to improve efficiency, reduce fraud, and serve as a reference for developing location-based attendance systems at SMP Negeri 6 Medan.