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Muhammad Wali
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Divisi Riset Lembaga Mitra Solusi Teknologi Informasi (L-MSTI). Jl. T Nyak Arief no 68 Lr. PBB Kopelma Banda Aceh
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Journal Dekstop Application (JDA)
Published by Research Division Lembaga Mitra Solusi Teknologi Informasi
ISSN : -     EISSN : 29619696     DOI : https://doi.org/10.59431/jda
Core Subject : Science,
Computer Science & IT
Journal Desktop Application (JDA) is a peer-reviewed journal published in June and December by the Information Technology Solutions Partner Institute (L-MSTI). JDA has the scope or field of research but is limited to the use and implementation of desktop-based software by producing various products that can run on Windows, Linux, MacOS and other operating systems and are not limited to fields such as; Information Technology, Information Systems, E-Business, Computer Science, Animation, AR/VR Applications, Games, and Interactive Media
Arjuna Subject : Ilmu Komputer (semua kategori) - Perangkat Lunak
Articles 45 Documents
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Large Language Model Integration in Desktop Applications: A Systematic Literature Review Deyidi Mokoginta
Journal Dekstop Application (JDA) Vol. 5 No. 1 (2026): June
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jda.v5i1.810

Abstract

The integration of Large Language Models (LLMs) into desktop applications has accelerated sharply over the past several years, yet no prior systematic review has examined this deployment setting as a distinct research domain — separate from web-based or mobile environments, each carrying different architectural constraints, privacy expectations, and user interaction patterns. This study maps, analyzes, and synthesizes the available scientific evidence on LLM architectures adopted in desktop implementations, the technical barriers arising during integration, the measurable effects on User Experience (UX), and the relative effectiveness of competing deployment strategies. A Systematic Literature Review (SLR) was conducted following PRISMA 2020 reporting guidelines, with research questions structured using the PICOC framework. Systematic searches across seven digital databases — IEEE Xplore, ACM Digital Library, Scopus, Web of Science, Google Scholar, arXiv, and Semantic Scholar — covering 2019–2024 yielded 1,200 initial articles, narrowed to 42 final articles through layered selection and quality appraisal using a modified CASP rubric. GPT-4 and the LLaMA family emerged as the dominant architectures, with model selection driven primarily by parameter scale and privacy requirements. Computational constraints, response latency, and data security ranked as the most serious technical barriers, with Retrieval-Augmented Generation (RAG) and model quantization as the most common mitigations. LLM integration was associated with measurable gains in task efficiency and user satisfaction in 73.8% of reviewed studies, though output predictability and user trust remained persistent challenges. A hybrid deployment approach — combining local models with cloud-based API access — emerged as the most common practice among production implementations. Unlike existing reviews addressing LLM capabilities in general software engineering contexts, this study provides the first systematic map of LLM integration specifically within the desktop application domain, offering concrete guidance for developers working at the intersection of artificial intelligence and desktop software engineering.
Design and Implementation of Employee Attendance and Payroll Information System Using Desktop-Based Application Nguyen Thi Huong; Nguyen Van Minh; Tran Thi Lan
Journal Dekstop Application (JDA) Vol. 5 No. 1 (2026): June
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jda.v5i1.817

Abstract

Attendance and payroll management remain among the most critical operational functions in any organization, irrespective of size or industry sector. Persistent inefficiencies in these processes — arising from manual data entry, paper-based recording, or the use of disconnected software tools — often translate into direct financial losses, reduced employee morale, and exposure to regulatory non-compliance. This study reports on the design and implementation of a desktop-based Employee Attendance and Payroll Information System (EAPIS) intended to automate these processes for small-to-medium enterprises (SMEs). Development followed the System Development Life Cycle (SDLC) under the Waterfall model, structured into five sequential stages: requirements analysis, system design, implementation, testing, and maintenance. The application was built using Visual Basic .NET (VB.NET) as the programming language, with Microsoft SQL Server 2019 serving as the relational database management system. Core modules cover employee data management, daily attendance recording, automated salary computation, and report generation. System evaluation paired black-box functional testing with User Acceptance Testing (UAT) involving ten respondents. The result: a 100% functional test pass rate and an average UAT satisfaction score of 4.58 out of 5.0 — figures that support the system's reliability, accuracy, and ease of use. These findings suggest that desktop-based information systems remain a workable, cost-efficient option for organizations seeking to modernize human resource operations without the overhead of a full enterprise resource planning (ERP) deployment.
Development of Inventory Management System for Small and Medium Enterprises Using Client-Server Architecture Janice Jane C. Flores-Alhaddad; Jojo Reyes
Journal Dekstop Application (JDA) Vol. 5 No. 1 (2026): June
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jda.v5i1.819

Abstract

Small and Medium Enterprises (SMEs) constitute the structural core of the Philippine economy, yet a disproportionate number continue to manage inventory through manual or semi-manual processes—paper logs, ledgers, and spreadsheets that introduce chronic inaccuracies, obscure stock visibility, and produce the kind of unreliable data on which poor business decisions are made. This study details the design, development, and evaluation of a custom Inventory Management System (IMS) built on client-server architecture and tailored specifically for resource-constrained SMEs. The server centralizes data storage through a normalized relational database, while client applications provide intuitive interfaces for real-time inventory tracking, transaction processing, automated low-stock alerts, and report generation. The development stack was selected for cost-effectiveness and local deployability: PHP/Laravel or Node.js for backend logic, MySQL or PostgreSQL for the database layer, and a responsive web front end built with HTML, CSS, JavaScript, and Bootstrap 5, with multi-user access governed by role-based access control (RBAC). Development followed the Waterfall model enhanced with iterative prototyping, informed by surveys and interviews with 15 SME owners and managers in Metro Manila and surrounding provinces. Evaluation across simulated and live SME environments yielded measurable performance gains: inventory accuracy improved from 78% to 97.3%, stockout incidents decreased by 45%, and time spent on inventory-related tasks was reduced by more than 60%, with report generation compressed from one to two hours to under ten seconds. The system was designed with the operational realities of Philippine SMEs explicitly in mind—limited IT infrastructure, intermittent internet connectivity, and sustained pressure to minimize technology costs—and supports on-premises or hybrid deployment as a deliberate alternative to recurring-cost cloud subscriptions. These findings contribute to the growing body of literature on practical digital solutions for micro, small, and medium enterprises in developing-country contexts, and offer a replicable model for SME digitalization in similarly constrained environments across Southeast Asia.
Design and Performance Evaluation of an OpenClaw-Based Desktop AI Assistant Deployed on Virtual Private Server: A Comparative Study with N8N Workflow Automation Muhammad Wali; Muhammad Agha Afkar; Syafrinal Syafrinal
Journal Dekstop Application (JDA) Vol. 5 No. 1 (2026): June
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jda.v5i1.822

Abstract

The escalating demand for more intelligent workflow automation has driven organizations to move beyond traditional rule-based platforms. This study designs, develops, and evaluates a Desktop AI Assistant system built on OpenClaw and deployed on a Virtual Private Server (VPS), and benchmarks its performance against N8N, a widely adopted open-source workflow automation platform. Employing a Design and Development Research (DDR) framework combined with a comparative experimental method, the research assesses both systems across three increasingly complex workflow automation scenarios: message management, task scheduling, and multi-service integration. Six evaluation metrics were recorded: response time, memory usage, CPU utilization, task completion accuracy, setup complexity, and user satisfaction as measured by the System Usability Scale (SUS). Results indicate that OpenClaw outperforms N8N on five of the six parameters. It achieves an average response time 75.5% faster (16.294 ms vs. 66.534 ms) with markedly greater consistency—standard deviation of 1.024 ms in Scenario 2 compared to N8N’s 116.228 ms. Memory usage averaged 27.7% lower (573 MB vs. 793 MB), CPU utilization 34.5% lower (28.1% vs. 42.9%), and task completion accuracy 5.6% higher (90.0% vs. 84.4%). The SUS score also favored OpenClaw at 78.4 versus 72.6. N8N holds an advantage only in setup complexity, scoring 2.18 compared with 3.25 on a 1–5 Likert scale, reflecting the benefit of its visual node-based interface for initial configuration. These findings suggest that LLM-based autonomous agent systems deployed on VPS represent a meaningful advancement over rule-based automation platforms and merit serious consideration as next-generation workflow infrastructure for organizations requiring high performance and the capacity to manage complex, multi-step tasks
Comparative Analysis of Windows and Linux Operating Systems for Secondary School Laboratories: A Limited Systematic Literature Review Zaehol Fatah; Aisyah Putri Sabrina
Journal Dekstop Application (JDA) Vol. 5 No. 1 (2026): June
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jda.v5i1.874

Abstract

Operating systems determine the day-to-day sustainability of school computer labs — particularly when institutions face licensing budget constraints, varying device specifications, and basic security requirements. This article is structured as a limited systematic literature review comparing Windows and Linux in an educational context, without claiming to be a primary benchmark experiment. The methodology follows PRISMA 2020 and Kitchenham systematic literature review guidelines, covering research question formulation, literature search, inclusion-exclusion criteria-based selection, quality assessment, and thematic synthesis. From an initial pool of 68 records, 10 relevant and traceable sources were used as the basis for synthesis across five core dimensions: licensing cost, hardware requirements, application compatibility, security, and user readiness. The findings indicate that while Linux presents strict user privilege execution layers and zero direct licensing overhead, Windows demonstrates superior native compatibility with proprietary national examination client browsers and a shorter learning curve due to established user familiarity. This article contributes a multi-criteria decision matrix for educational labs that balances operational constraints against technical efficiency.

Page 5 of 5 | Total Record : 45

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