cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Fauzan Masykur
Contact Email
editor.ptmekar@gmail.com
Phone
+6285736460927
Journal Mail Official
editor.ptmekar@gmail.com
Editorial Address
Jl. Sunan Kudus no 76 Desa Krandegan RT 4 RW 1 Kecamatan Kebonsari Kabupaten Madiun, JAWA TIMUR, INDONESIA
Location
Kab. madiun,
Jawa timur
INDONESIA
Journal Information System and Computer Application
Published by PT Mekar Research And Publishing
ISSN : -     EISSN : 31101887     DOI : https://doi.org/10.65475/54gtqy36
Core Subject : Science,
Computer Science & IT
The journals focus and scope include, but are not limited to: information system development, software engineering, information security, computer networks, web and mobile based applications, big data, artificial intelligence, cloud computing, and other emerging technologies related to information systems and computer applications.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 20 Documents
 1   2 
A Decision Support System For Roof Tile SelectionUsing AHP In The Bedingin Roof Tile Industrial Center Ryan Erlangga Ardiansyah; Jamilah
MEKAR : Journal Information System and Computer Application Vol. 2 No. 1 (2026): APRIL
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/vde80844

Abstract

Selecting the appropriate roof tile based on house specifications and user preferences is often a challenge, especially when facing a wide variety of available products. This study aims to design and develop a web-based Decision Support System (DSS) to assist in selecting roof tiles at the Genteng Bedingin Industry Center in Ponorogo. The method used is the Analytic Hierarchy Process (AHP), which allows for pairwise comparison among criteria and subcriteria and evaluates consistency in decision-making. The system considers six main criteria: tile type, price, batten spacing, kluntung size, thickness, and ease of installation, with weights that can be adjusted directly by users. Usability testing using the System Usability Scale (SUS) method involving 15 respondents resulted in a score of 92.48%, indicating that the system is highly user-friendly and delivers logical, needs-based recommendations. This system has proven to be effective in providing accurate and relevant tile selection recommendations and has potential for broader industrial implementation.
Evaluation of the Kalman Filter Algorithm for IoT-Based Air and Light Quality Optimization Petrisia Widyasari sudarmadji; Diana Rachmawati
MEKAR : Journal Information System and Computer Application Vol. 2 No. 1 (2026): APRIL
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/r0r4ak67

Abstract

Health and productivity of poultry, chicken farms require an environment with ideal air and lighting conditions. The urgency of this research requires a real-time IoT system equipped with a Kalman Filter data processing algorithm to reduce sensor noise and improve reading accuracy, as manual monitoring is often inaccurate and slow. Research objectives: 1) Design an IoT system based on multi-parameter sensors (gas and light) to monitor the environmental conditions of chicken farms; 2) Implement a Kalman Filter to filter sensor data noise and produce stable and accurate readings; 3) Evaluate system performance through field tests by comparing filtered data with actual data. The outcomes achieved are proof of submission to a Sinta-accredited journal and intellectual property rights for the monitoring system developed. The implications of this research provide appropriate technological solutions for chicken farms to prevent economic losses due to suboptimal environments.
Decision Support System for Recommendation of Competition Types for Elementary School/Islamic Elementary School/Equivalent Students Using the TOPSIS Method Valentino Shidney Shidney; Fauzan Masykur; Dyah Mustikasari; Raveenthiran Vivekanantharasa
MEKAR : Journal Information System and Computer Application Vol. 2 No. 1 (2026): APRIL
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/wc0xrk72

Abstract

The selection of students to participate in competitions at the elementary school/Islamic elementary school/equivalent level has been done manually and subjectively, potentially causing inaccuracies in determining the type of competition that suits the students' abilities. This study aims to develop a web-based Decision Support System (DSS) using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to recommend the right type of competition for elementary school/Islamic elementary school students in Parang District. This system was built using the PHP programming language and MySQL database, with four main criteria: academic grades (weighted 0.35), artistic grades (weighted 0.25), sports grades (weighted 0.20), and student interests (weighted 0.20). The system was developed using the waterfall method and testing was carried out using white box testing. The test results showed that the system was able to produce student rankings based on TOPSIS preference scores with a 100% accuracy rate compared to manual calculations. This system is expected to assist teachers in making decisions more objectively, systematically, and efficiently.
Peran Jaringan Komputer dalam Mendukung Implementasi Internet of Things pada Berbagai Sektor Industri Puji Astuti Suryaningtyas; Dimas Ainur Pangestu; Afif Nur Wicaksono
MEKAR : Journal Information System and Computer Application Vol. 2 No. 1 (2026): APRIL
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/770ard28

Abstract

Internet of Things (IoT) telah muncul sebagai pendorong utama transformasi digital lintas sektor yang mencakup layanan publik, industri, perawatan kesehatan, dan pertanian. Namun, keberhasilan penerapannya ditentukan oleh ketagguhan infrastruktur jaringan komputer yang menjadi fondasinya. Artikel ini mengkaji peran penting jaringan komputer dalam menopang ekosistem Internet of Things melalui studi terhadap 30 penelitian terkini (2020–2026), dengan penekanan pada desain, protokol komunikasi, keamanan, dan interoperabilitas. Metodologi yang digunakan adalah tinjauan pustaka yang komprehensif dengan fokus pada arsitektur jaringan, protokol komunikasi, keamanan, dan interoperabilitas.. Temuan studi ini menunjukkan bahwa kebutuhan daya dan pertimbangan geografis harus diperhitungkan saat memilih protokol jaringan (NB-IoT, LoRaWAN, dan Wi-Fi). Menurut laporan ini, penerapan IoT rentan terhadap kegagalan jika tidak didukung oleh standar jaringan yang kuat dan langkah-langkah keamanan berlapis. Pelaksanaan strategi terpadu dan kepatuhan terhadap persyaratan keamanan sangat penting bagi keberhasilan sistem IoT di Indonesia.
Comparative Analysis Of Star And Mesh Topologies In Computer Networks Based On Literature Study Rizki Aditya Putra; Raffi Sulistyo Permana Putra; Zah Rahan Aprilianto
MEKAR : Journal Information System and Computer Application Vol. 2 No. 1 (2026): APRIL
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/5hwp4z09

Abstract

The development of information technology requires the availability of computer networks that are fast, stable, secure, and easy to manage. One important factor in network design is the selection of a network topology that suits organizational needs. Network topology determines the relationships between devices, data communication paths, installation costs, and ease of maintenance. This study aims to analyze the comparison between two commonly used network topologies, namely Star and Mesh topologies, based on two scientific journals discussing their respective implementations. The research method uses a literature study with a descriptive comparative approach. The results of the study indicate that the Star topology has advantages in terms of ease of installation, low cost, simple management, and is suitable for small to medium-scale Local Area Networks (LAN). In contrast, the Mesh topology excels in redundancy with multiple alternative paths, fault tolerance, security, flexibility, and scalability, making it more suitable for modern wireless networks and environments requiring high network availability. The conclusion shows that there is no universally best topology; instead, the choice must be adjusted to user needs, budget, and implementation scale.
Sistem Reservasi Online Barbershop Artjuna Capster Berbasis Web Muhamad Hamim Madturochim Madjid; Pradityo Utomo; Daniel Wahyu Suprayoga Prabowo
MEKAR : Journal Information System and Computer Application Vol. 2 No. 2 (2026): AUGUST
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/fa13rb52

Abstract

Barbershop Artjuna Capster masih menerapkan reservasi layanan secara manual sehingga pelanggan harus datang langsung ke lokasi dan sering menghadapi antrian panjang. Penelitian ini merancang dan membangun sistem reservasi online berbasis web menggunakan metode Waterfall, UML dan ERD untuk perancangan, serta PHP dan MySQL untuk implementasi. Pengujian Black Box menunjukkan bahwa sistem mampu memfasilitasi pelanggan memilih layanan, memilih capster tersedia, dan melakukan reservasi tanpa bentrok jadwal, sehingga meningkatkan efisiensi pelayanan Barbershop Artjuna Capster.
A Machine Learning and Reinforcement Learning Framework for Secure, Personalized Web Portofolios Firman Sholehudin
MEKAR : Journal Information System and Computer Application Vol. 2 No. 2 (2026): AUGUST
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/bkvbjn35

Abstract

Digital, web-based portfolios have become essential tools for students and job seekers to showcase technical skills. However, most current portfolios are static HTML/CSS sites, vulnerable to cyber attacks and unable to personalize content. This study introduces SecurePortfolio, a conceptual framework combining a machine learning security layer to block malicious traffic and a causal reinforcement learning module to adaptively recommend portfolio content. Simulation results show that the security component mitigates most threat vectors, while the personalization engine improves content relevance compared to static layouts. The framework offers a blueprint for intelligent, secure, and context-aware digital portfolios for graduates entering the workforce.
A Simple Machine Learning Application for Deepfake Detection and Analysis of How It Works Ilham Syahnara
MEKAR : Journal Information System and Computer Application Vol. 2 No. 2 (2026): AUGUST
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/t37afz44

Abstract

The rapid advancement of deepfake technology poses a serious threat to digital security. Unfortunately, the majority of existing detection systems still rely on complex network architectures with heavy and costly computational requirements. Therefore, this study evaluates the reliability of MesoNet-4 a lighter Convolutional Neural Network (CNN) architecture and efficiently detecting deepfakes. The evaluation was conducted using a dataset of 140,000 faces from Kaggle, simulated in the Google Colab environment. Experimental results show that the model achieved a high accuracy rate of 94.00% when tested on data from the same distribution (in-dataset). However, this performance dropped significantly to 50.00% when subjected to out-of-dataset testing. In this scenario, the model experienced a complete detection failure by classifying all fake image samples as real images. This phenomenon indicates that lightweight architectures are highly susceptible to overfitting to the specific photographic characteristics of the training data, thereby failing to adapt to domain shifts in real-world conditions. This study concludes that high accuracy in a controlled environment does not guarantee the model’s practical reliability. Moving forward, the development of detection systems needs to prioritize cross-domain generalization capabilities and integrate dynamic preprocessing modules, such as automatic face detection.
Automated Decision Support System for Social Assistance Eligibility Based on House Images Using Deep Learning David Fernanda; Angga Prasetyo; Indah Puji Astuti
MEKAR : Journal Information System and Computer Application Vol. 2 No. 2 (2026): AUGUST
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/fhj8rd28

Abstract

Social assistance is one of the government programs aimed at improving the welfare of underprivileged communities. However, the process of determining eligible beneficiaries is still largely conducted manually, leading to subjectivity, inaccurate targeting, and time-consuming decision-making. This study proposes an automated decision support system for determining social assistance eligibility based on house images using Deep Learning and the Analytical Hierarchy Process (AHP). The proposed system consists of a house image classification model developed using the MobileNetV2 architecture, a web-based application developed with the Laravel framework, and the integration of image classification results with the AHP method. MobileNetV2 is employed to classify house conditions into eligible and ineligible categories while generating confidence scores. These confidence scores are converted into a 1–10 assessment scale and used as the House Condition criterion in the AHP calculation together with income, occupation, number of dependents, and house ownership. The study utilized a dataset of 300 house images for model training and evaluation. Experimental results show that the MobileNetV2 model achieved an accuracy of 74.00%. Furthermore, the developed system successfully integrates automatic house image classification with AHP-based decision-making, producing more objective, consistent, and accurate recommendations for social assistance recipients while assisting local governments in improving the efficiency and transparency of the beneficiary selection process.
Analisis User Interface Website LMS-AKN Pacitan Menggunakan Metode VISAWI Candra Budi Susila; Desanty Ridzky; Pradityo Utomo
MEKAR : Journal Information System and Computer Application Vol. 2 No. 2 (2026): AUGUST
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/61cvgx05

Abstract

This study evaluates the visual-interface quality of the LMS-AKN Pacitan website through the Visual Aesthetics of Websites Inventory (VISAWI), an instrument built specifically to capture how users perceive a site's visual appeal across four facets: Simplicity, Diversity, Colorfulness, and Craftsmanship. Using a quantitative descriptive design, data were gathered through a questionnaire completed by 39 active students who had used the LMS-AKN Pacitan platform for at least one semester. Findings place the website's overall interface quality in the “good” category, with an aggregate mean score of 3.69 on a five-point Likert scale. Craftsmanship recorded the highest score (3.91), followed by Simplicity (3.87), Diversity (3.55), and Colorfulness (3.42); all four facets fell within the “good” range, suggesting that the interface is straightforward, easy to navigate, and professionally presented. Even so, the comparatively lower Colorfulness and Diversity scores point to room for improvement in color choice and visual variety to further boost user engagement. This study contributes to the growing body of work on digital-learning interface design in higher education and offers practical recommendations for refining the UI toward a more attractive, comfortable, and effective learning experience. Subsequent research is encouraged to pair VISAWI with usability testing and to draw on a larger respondent pool for more generalizable conclusions.

Page 2 of 2 | Total Record : 20

 1   2 

Filter by Year

2025 2026


Reset
Filter By Issues
All Issue Vol. 2 No. 2 (2026): AUGUST Vol. 2 No. 1 (2026): APRIL Vol. 1 No. 2 (2025): DECEMBER Vol. 1 No. 1 (2025): AGUSTUS