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All Journal Bulletin of Computer Science Research Teknik: Jurnal Ilmu Teknik dan Informatika
Sitompul, Yunanda Rizki
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Computer Science & IT

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Pengembangan Sistem Informasi Peminjaman, Pengembalian, dan Inventarisasi Alat Laboratorium Berbasis Web dengan Menggunakan Model Waterfall Sitompul, Yunanda Rizki; Hutasoit, Triwanti Andini; Tarigan, Claudia Agatha; Debi Yandra Niska
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.876

Abstract

Procedural inefficiency is a major challenge in administering laboratory equipment loans in academic environments, where paper-based processes are prone to recording errors and inventory data discrepancies. This condition directly impacts low asset accountability and the inability to monitor equipment availability status in real-time. This research focuses on the design and implementation of a website-based Laboratory Equipment Loan Information System (SIPINLAB) to provide an efficient, centralized, and accountable digital solution. The system development methodology uses the Waterfall Model approach, which is executed sequentially through the stages of requirements analysis, design, implementation, and testing. The technical implementation of SIPINLAB utilizes the PHP Native programming language and the MySQL database management system. The main findings of this study were confirmed through validation of the system's functionality using Black Box Testing in five main scenarios. The test results showed a 100% functional success rate, confirming that the system operates fully according to design specifications. This success validates the performance of SIPINLAB's crucial features, including the integration of automatic penalty calculations based on late returns and a real-time stock control mechanism that ensures data consistency. Overall, SIPINLAB successfully met its research objectives by transforming the manual loan process into a computerized one. This system's contribution minimizes the potential for human error and significantly improves laboratory asset management accountability through centralized, accurate, and valid transaction data.
Perbandingan Algoritma Divide and Conquer dan Searching pada Pengolahan Data Nilai Mahasiswa Berbasis Web Mevia, Nazwa Aidilia Octa; Marbun, Yohana Kartika; Putri, Melika Debiyana; Sitompul, Yunanda Rizki
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 6 No. 1 (2026): Mei : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v1i1.1145

Abstract

The rapid digital transformation in educational institutions demands an efficient student grade data processing system capable of handling workloads responsively. This study aims to analyze and compare the efficiency of sorting algorithms (Merge Sort and Quick Sort) and searching algorithms (Linear Search and Binary Search) on a web-based platform. The research method employed is laboratory experimental, testing algorithm performance across various data volume stratifications, ranging from 50 to 1000 entities, using the V8 JavaScript engine. Research findings indicate that Quick Sort possesses superior speed compared to Merge Sort due to its efficient in-place sorting architecture, which minimizes memory overhead and Garbage Collection activity. Furthermore, a performance anomaly was discovered where the Just-In-Time (JIT) Compiler mechanism optimizes execution on large data volumes through a warm-up phase. In the searching aspect, Binary Search demonstrates superior O(log n) logarithmic stability compared to Linear Search, which risks causing interface freezing on massive data. The implication of this study is the critical importance of implementing data pre-sorting protocols to exploit logarithmic search speeds to ensure academic information system scalability. The integration of appropriate algorithms proves to be a crucial foundation in maintaining web application responsiveness amidst the ever-increasing escalation of educational data.
Co-Authors Hutasoit, Triwanti Andini Marbun, Yohana Kartika Mevia, Nazwa Aidilia Octa Niska, Debi Yandra Putri, Melika Debiyana Tarigan, Claudia Agatha