Projects
Aplikasi Sistem Diagnosa Depresi
The Depression Diagnosis System is a machine learning-based project designed to help quickly and accurately detect a person's level of depression. This system uses the Naive Bayes algorithm, which is known for its ability to analyze data based on probabilities, to process input data from users and provide predictive diagnostic results. This project is developed for a thesis, aiming to support the initial identification of depression and provide early recommendations for appropriate follow-up actions.
Aplikasi Sistem Presensi Akademik
The Academic Attendance System is a web-based solution developed using the Laravel 8 Framework to support online attendance management in online lectures. This system is designed to simplify the process of recording student attendance before they enter the meeting platform, with features such as user authentication, real-time attendance tracking, and organized attendance reports. This project aims to improve the efficiency of lecture administration and ensure the accuracy of attendance data in the modern academic environment.
Aplikasi Sistem Pencatat Keuangan
The Financial Recording System is a web-based platform developed using the Laravel 8 Framework to simplify personal or organizational financial management. This application is designed to efficiently record income and expenses, provide real-time balance updates, and help users plan and manage their savings. With structured transaction recording features and easily accessible financial reports, this system aims to improve financial awareness and assist users in achieving their financial goals.
Publication
Implementasi Algoritma Naive Bayes Dalam Menentukan Diagnosa Tingkat Depresi Mahasiswa Akhir Terhadap Pengerjaan Skripsi
The article titled "Implementation of the Naive Bayes Algorithm in Determining the Depression Diagnosis Level of Final-Year Students During Thesis Completion" discusses the use of the Naive Bayes algorithm to analyze the level of depression among final-year students during the thesis completion process. This research aims to identify and measure the factors influencing depression at this stage, using data from surveys or interviews with students.
The article explains the research method, data usage, analysis results, and the impact of the findings on the well-being of final-year students in higher education. The research is expected to have a positive impact on academic support and mental health for students. The article also presents conclusions and relevant references.
APLIKASI GAME SMART QUIZ TENTANG AKSARA JAWA BERBASIS ANDROID MENGGUNAKAN ALGORITMA FISHER YATES SHUFFLE
The article titled "Android-Based Smart Quiz Game Application on Javanese Script Using the Fisher-Yates Shuffle Algorithm" is an innovation that combines Android technology with the Fisher-Yates Shuffle algorithm to support interactive and enjoyable learning of Javanese script. This article introduces a game application that utilizes this algorithm to shuffle the sequence of Javanese characters in quizzes, creating different variations each time the game starts. With game features, a user-friendly interface, customizable difficulty levels, and strong educational goals, this article also discusses the benefits of the application in supporting Javanese script learning, as well as the potential development of similar applications to promote and preserve local culture through modern technology.
Course/Certificate
