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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.
IMPLEMENTASI ALGORITMA DIFFIE-HELLMAN KEY EXCHANGE (DHE) DAN AES DALAM ENKRIPSI PESAN END-TO-END M. Khairi Nasution; Rachmat Aulia; Antoni
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 10 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi Oktober 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i10.1011

Abstract

Digital communication security is a crucial aspect in the modern era of information technology. This study aims to implement a combination of the Diffie- Hellman Key Exchange (DHE) and Advanced Encryption Standard (AES) algorithms in an end- to-end encryption (E2EE) system to ensure data confidentiality and integrity. The method used includes a secure key exchange process via the DHE algorithm and message encryption using AES-256, ensuring secure communication between two users. The research process began with the design of a web-based communication system that allows users to securely exchange messages. The initial stage involves the exchange of public keys between two parties using DHE, which then generates a shared secret key. This key is subsequently used in the encryption and decryption of messages using AES, strengthened by the use of an Initialization Vector (IV) to enhance security. An example of implementation is demonstrated through a communication simulation between Alice and Bob, where values of p = 23 and g = 2 are used as public parameters, while a = 6 and b = 15 serve as private values. Both parties successfully establish a shared key of 4, which is then used to encrypt a message such as “Hello, Bob!” into ciphertext. This message can only be decrypted by the recipient using the same key and the included IV. With this system, users can securely send and receive text messages through a simple yet functional interface.
PENERAPAN METODE MID POINT FILTER MENGURANGI EFEK NOISE GAUSSIAN PADA CITRA BERBASIS ANDROID Muhammad Rifqi Saputra; Khairuddin Nasution; Antoni
Jurnal Riset Multidisiplin Edukasi Vol. 2 No. 10 (2025): Jurnal Riset Multidisiplin Edukasi (Edisi Oktober 2025)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/jurmie.v2i10.1041

Abstract

Noise in digital images, particularly Gaussian Noise, often poses a major challenge in maintaining the quality of visual information as it produces random speckles that can interfere with object identification and recognition processes. This problem becomes more complex on mobile devices, which are limited in computational power and storage capacity. This study proposes the application of the Midpoint Filter Method as a solution to reduce the effects of Gaussian Noise in Android-based images. The Midpoint Filter works by replacing each pixel value with the average of the maximum and minimum values within a filter window. This approach is chosen for its lightweight, efficient characteristics and its ability to reduce random noise without degrading important image details. The method is implemented through an Android application designed to load images, process them using the Midpoint Filter, and display a real-time comparison between the original and filtered images. Experimental results show that the proposed method significantly reduces Gaussian noise levels. In an experiment using an image with a resolution of 576×345 pixels and a file size of approximately 1 MB, the initial noise value of 2791 was successfully reduced to 1246 after applying the Midpoint Filter. Thus, the total noise reduction reached 1545, representing a 55.36% decrease, while maintaining the image resolution.