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All Journal Jurnal Manajemen Informatika & Teknologi Jurnal Sains Student Research
Zelly Apriza
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Optimasi Pemilihan Soal Ujian Try Out Menggunakan Algoritma Greedy Berdasarkan Tingkat Kesulitan dan Waktu Pengerjaan Zelly Apriza; Septi Mujiranda; Tata Sutabri
Jurnal Manajemen Informatika & Teknologi Vol. 5 No. 1 (2025): Mei : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/d6q0cf16

Abstract

The selection of appropriate questions for the trial exam is one of the main factors in objectively evaluating the readiness of participants. This process not only considers the level of difficulty of the questions, but also the duration of the work required. This study proposes the application of the greedy algorithm as a method for selecting questions based on these two main parameters. The greedy algorithm was chosen because it can provide a quick solution by selecting the best option at each step of decision making. In practice, the system will sort the questions based on the ratio of the value between the level of difficulty and the time required to complete them, then select questions until the maximum time is reached. The test results show that this method can form a collection of questions that are balanced between the time to complete and the level of difficulty. This method can also be applied in various trial exam situations with a set time. This study offers an initial overview of the use of the greedy algorithm in developing an efficient and responsive question selection system.
Tantangan dan Solusi Pengelolaan Basis Data: Dari Keamanan Hingga Optimalisasi Query Zelly Apriza; Tata Sutabri
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 2 (2025): Jurnal Sains Student Research (JSSR)
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i2.4331

Abstract

Databases are a vital component in information management across various sectors. However, several challenges are often encountered, such as threats to data security, inefficiencies in data processing, and suboptimal query performance. This journal presents a review of various techniques that can be employed to address these challenges, including the use of parameterized queryes to prevent SQL injection attacks, data encryption during backup and restore processes, and query optimization through search algorithms, indexing, and heuristic approaches such as genetic algorithms in the context of distributed databases. Based on several recent studies, this research concludes that integrating security methods and optimization techniques can significantly improve the performance and reliability of modern database systems
Co-Authors Septi Mujiranda Tata Sutabri