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Mepa Kurniasih
Universitas Budi Luhur, Jakarta, Indonesia
Computer Science & IT

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IMPLEMENTATION OF E-COMMERCE CERAMIC SHOP USING APPLICATION PROGRAMMING INTERFACE WITH JSON WEB TOKEN AUTHENTICATION Mepa Kurniasih; Agung Alam Putra; Eka Anggara
Information Technology Studies Journal (ITECH) Vol. 2 No. 2 (2025): Information Technology Studies Journal (ITECH)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/zw47xy62

Abstract

CV. Apuy Stone is a ceramic and granite distribution company located in Serang, Banten. One of the problems faced is the accumulation of goods in the warehouse due to a mismatch between customer demand and the amount of available stock. Often, products that customers are interested in are not available, while other products pile up and remain unsold for a long time. Based on these conditions, the purpose of this Internship Lecture is to design an information system-based solution that can help the company manage inventory more efficiently. The methods used include direct field observation, interviews with related parties, and analysis of sales transaction data for the past two years. The author built a web-based application using the Laravel framework and MySQL database that aims to process sales data and provide recommendations on inventory. This application is designed to identify products with a low turnover rate (slow-moving) and products with a high level of demand, and assist management in planning more targeted procurement of goods. The results of the system implementation show an increase in accuracy in decision-making related to stock management and a decrease in the number of items piling up unsold. In conclusion, the information system developed can be an effective tool in inventory control based on historical sales data. The benefits of compiling this KKP are directly felt by the company in the form of warehouse operational efficiency, as well as contributing to the development of information technology solutions in the world of small and medium businesses.
ALGORITMA TERINSPIRASI KUANTUM UNTUK MENINGKATKAN KEAMANAN KRIPTOGRAFI Mepa Kurniasih
Information Technology Studies Journal (ITECH) Vol. 2 No. 3 (2025): Information Technology Studies Journal (ITECH)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/97ewmh95

Abstract

Eskalasi kapabilitas komputasi dan ancaman dari algoritma kuantum, seperti algoritma Shor dan Grover, telah memicu urgensi untuk mengevaluasi kembali ketahanan arsitektur kriptografi klasik. Permasalahan utama terletak pada kerentanan ruang kunci (key space) tradisional terhadap serangan heuristik serta keterbatasan algoritma evolusioner konvensional yang sering terjebak dalam optimum lokal. Artikel ini bertujuan untuk meninjau secara mendalam potensi integrasi Quantum-Inspired Evolutionary Algorithms (QIEA) sebagai solusi hibrida dalam memperkuat keamanan kriptografi. Melalui metode tinjauan naratif terhadap literatur dari pangkalan data Scopus dan Web of Science (2021-2026), studi ini menganalisis mekanisme representasi Q-bit dan Quantum Rotation Gates dalam proses pencarian kunci. Hasil analisis menunjukkan bahwa penggunaan prinsip superposisi memungkinkan eksplorasi ruang kunci yang luas secara simultan tanpa peningkatan beban komputasi secara linear. Studi ini mengusulkan sebuah kerangka kerja sistem kriptografi adaptif yang mencakup empat pilar integrasi: eksplorasi ruang kunci berbasis Q-bit, optimasi parameter pada Elliptic Curve Cryptography (ECC), penguatan S-Box pada Advanced Encryption Standard (AES), serta deteksi dini kelemahan kunci secara evolusioner. Sebagai kontribusi teoritis, model ini menawarkan transformasi dari keamanan statis menuju sistem pertahanan yang adaptif dan tangguh terhadap berbagai skenario serangan siber di masa depan.
ARTIFICIAL INTELLIGENCE DRIVEN SOFTWARE ENGINEERING: CURRENT DEVELOPMENTS, CHALLENGES, AND FUTURE RESEARCH DIRECTIONS Achmad Ardiansyah; Mepa Kurniasih
Information Technology Studies Journal (ITECH) Vol. 3 No. 2 (2026): Information Technology Studies Journal (ITECH)
Publisher : Penelitian dan Pengembangan Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62207/810q3r19

Abstract

The convergence of Artificial Intelligence (AI) and Software Engineering (SE) has fundamentally reshaped how software systems are conceived, designed, built, tested, and maintained. Following the widespread commercial deployment of Large Language Models (LLMs) and generative AI tools such as GitHub Copilot, this paper presents a narrative review of current developments, key challenges, and future research directions in AI-driven Software Engineering (AI4SE). Drawing on peer-reviewed systematic literature reviews, empirical studies, and industry survey data published between 2019 and 2025, this review synthesizes evidence across the software development life cycle (SDLC), including requirements engineering, software design and architecture, automated code generation, software testing, and software maintenance. The review shows that AI adoption among practitioners has grown rapidly. Industry surveys report that more than 80% of developers now use AI tools in their workflow while empirical studies report productivity gains of up to 55% for specific coding tasks. However, the literature also converges on persistent challenges, including code quality and technical debt, explainability and trust, data and model bias, security vulnerabilities in AI-generated code, and organizational barriers to adoption. This review proposes an integrative conceptual framework that maps AI capabilities onto SDLC phases and challenge dimensions, and outlines an agenda for future research emphasizing trustworthy AI4SE, human-AI collaboration models, and empirical validation at scale. The paper is intended to serve as a reference synthesis for researchers, practitioners, and policymakers navigating the rapidly evolving intersection of AI and software engineering.
Co-Authors Achmad Ardiansyah Agung Alam Putra Eka Anggara