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Jurnal Sistem Informasi dan Ilmu Komputer
Published by International Forum of Researchers and Lecturers
ISSN : 29865158     EISSN : 29864976     DOI : 10.59581
Core Subject : Science,
Computer Science & IT
Jurnal Sistem Informasi dan Ilmu Komputer berfokus pada publikasi hasil penelitian, kajian konseptual, dan pengembangan keilmuan di bidang Sistem Informasi dan Ilmu Komputer. Jurnal ini bertujuan menjadi media diseminasi ilmiah bagi akademisi, peneliti, dan praktisi dalam pengembangan serta penerapan teknologi informasi yang inovatif dan berkelanjutan. Ruang Lingkup Ruang lingkup jurnal mencakup, namun tidak terbatas pada, topik-topik berikut: Bidang Sistem Informasi Analisis dan Perancangan Sistem Informasi Manajemen Sistem Informasi Sistem Informasi Manajemen Sistem Enterprise (ERP, SCM, CRM) Sistem Pendukung Keputusan Business Intelligence dan Data Warehouse Tata Kelola Teknologi Informasi Audit dan Keamanan Sistem Informasi E-Government dan E-Business Bidang Ilmu Komputer Rekayasa Perangkat Lunak Kecerdasan Buatan (Artificial Intelligence) Machine Learning dan Deep Learning Data Mining dan Big Data Jaringan Komputer dan Keamanan Jaringan Internet of Things (IoT) Pengolahan Citra dan Visi Komputer Sistem Terdistribusi dan Cloud Computing Human-Computer Interaction (HCI)
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 169 Documents
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Efektivitas Penerapan Software Accounting (Accurate) dalam Pengelolaan Laporan keuangan pada PT. XYZ
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.4821

Abstract

This study aims to analyze the effectiveness of implementing Accurate accounting software in financial report management at PT. XYZ). Accurate is utilized to enhance operational efficiency, recording accuracy, and real-time financial reporting. The findings reveal that the use of Accurate reduces recording errors and accelerates the financial reporting process. Integration features across modules such as purchasing, sales, and inventory improve interdepartmental data consistency. Additionally, Accurate helps the company comply with Indonesian Financial Accounting Standards (PSAK) and tax regulations through automated reporting. Key success factors include adequate employee training and feature customization tailored to the needs of manufacturing companies. This study concludes that technology-based accounting software not only improves financial data accuracy but also supports better strategic decision-making for management.
Analisis Fitur Aplikasi Japanese Kanji Study sebagai Media Pendukung Pembelajaran Bahasa Jepang
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.4920

Abstract

Mastering kanji characters is a crucial aspect of learning the Japanese language, yet many beginner learners face challenges in memorizing their forms, meanings, and readings. To support independent learning, digital applications such as Japanese Kanji Study offer practical and flexible alternatives. This study aims to analyze the features of the Japanese Kanji Study application and evaluate its effectiveness as a learning medium. The research adopts an exploratory qualitative approach, involving a seven-day direct investigation of the application’s core features, along with user reflection and comparison with two similar applications. The results indicate that Japanese Kanji Study provides a user-friendly interface, content organized by JLPT levels, and features that facilitate understanding of meanings, readings, and stroke order of kanji. Over the exploration period, the author successfully learned 35 N5-level kanji characters. User reflections show that the application is effective in improving kanji comprehension, although further development is needed in terms of interactivity and learning motivation. In conclusion, Japanese Kanji Study serves as a valuable self-learning tool for kanji, particularly for beginner learners.  
Perencanaan Arsitektur Enterprise Togaf pada Penerimaan Siswa Baru: Studi Kasus SD Plus IGM
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.4997

Abstract

The new student admission process at SD Plus IGM is still carried out manually, which results in data inaccuracies and operational inefficiencies. This study aims to design an integrated enterprise architecture plan using the TOGAF (The Open Group Architecture Framework) methodology to improve the efficiency and effectiveness of the student admission process. The research method applied is a qualitative approach through a case study at SD Plus IGM. The findings show that the implementation of TOGAF can align the business, application, data, and technology architecture domains and identify potential risks during the implementation phase. This study provides recommendations for a well-structured and integrated information system plan to support the digital transformation of the student admission process in elementary school settings.
Analisis Sentimen Pengguna Aplikasi OVO pada Media Sosial X menggunakan Metode Naive Bayes dan Support Vector Machine (SVM)
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.5148

Abstract

The rapid development of financial technology (fintech), particularly digital wallet applications like OVO, has significantly transformed transaction patterns in society. However, issues such as server instability and unsatisfactory user experiences frequently emerge on social media platforms. This study aims to analyze user sentiments toward OVO on platform X (formerly Twitter) by comparing the performance of two machine learning algorithms: Naïve Bayes and Support Vector Machine (SVM). Data were collected through web scraping from 1,000 Indonesian-language tweets containing the keyword "OVO." The research methodology included text preprocessing (data cleaning, tokenization, stopword removal), feature extraction using TF-IDF, and sentiment classification (positive, negative, neutral). Evaluation results demonstrated that SVM achieved the highest accuracy of 85.2%, while Naïve Bayes reached 78.5%. SVM also outperformed in precision (87%) and recall (83%) due to its ability to handle non-linear data. These findings provide actionable recommendations for OVO developers to enhance server stability and features based on user feedback. Additionally, this study serves as a reference for future sentiment analysis research employing algorithmic comparisons.
Antarmuka Empatik: Studi Eksperimental pada Sistem Chatbot yang Responsif terhadap Mood Pengguna
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.5153

Abstract

In the digital era that increasingly emphasizes human-computer interaction, the existence of an interface system that is not only functional but also able to understand the emotional state of the user is becoming increasingly important. This study aims to explore the effectiveness of empathetic interfaces in chatbot systems designed to respond adaptively to user moods. Empathetic chatbots are defined as artificial intelligence-based conversational agents that are able to recognize and adjust their verbal responses to user emotional expressions through linguistic analysis and non-verbal data such as response time and word choice. This study uses an experimental approach involving 60 participants from among students who interact with two types of chatbots: standard chatbots (non-empathetic) and empathetic chatbots. The analysis methods used include measuring the level of user satisfaction, empathy perception, and emotional comfort through a Likert scale questionnaire and quantitative data processing using a paired T-test.
Implementasi Deteksi Objek Otomatis Menggunakan Representasi Citra Digital dalam Lingkungan MATLAB: Studi Kasus pada Pengolahan Citra Berbasis Piksel
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.5154

Abstract

Automatic object detection is one of the crucial aspects in the field of digital image processing that plays a vital role in various modern applications, ranging from security systems to pattern recognition in medical and industrial fields. This study aims to implement an automatic object detection method with a digital image representation-based approach using MATLAB software. The main focus is directed at the pixel-based image processing process, where each image element is processed to extract relevant visual information. In this study, stages are carried out starting from image acquisition, color conversion, image quality enhancement, threshold-based segmentation, to extraction of targeted object features. Digital images are analyzed through transformation into grayscale and binary forms to facilitate the detection process. The use of MATLAB provides flexibility in numerical and visual data processing, and supports various efficient image processing libraries.
Analisis dan Implementasi Kinerja K-Nearest Neighbour dalam Menentukan Kelayakan Pemilihan Hewan Domba di PT Arjuna Farm
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.5203

Abstract

This study aims to analyze and implement the K-Nearest Neighbor (KNN) algorithm in determining the feasibility of sheep selection at PT Arjuna Farm. In the livestock industry, selecting quality animals is very important to increase productivity and efficiency. KNN, as a simple but effective classification method, is used to analyze sheep characteristic data, such as body weight, age, and health, to identify animals that meet the eligibility criteria. The research methodology used in this study includes data collection, pre-processing, and application of the KNN algorithm. Data obtained from PT Arjuna Farm were processed and divided into training data and testing data. The results of the analysis show that the KNN algorithm is able to provide high accuracy in determining the feasibility of sheep selection, with a low error rate.
Analisis Perbandingan Algoritma K-MEANS dan DBSCAN Clustering Kondisi Ekonomi Masyarakat di Kelurahan Pulo Brayan Darat 1
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 2 (2025): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i2.5230

Abstract

Considering the current data-driven policies, economic disparities across metropolitan areas are an important factor to consider. This study focuses on a comparative analysis between the K-MEANS and DBSCAN algorithms in the process of clustering residents in Pulo Brayan Darat 1 Village, taking into account the economic conditions of each individual. Through this study, it is hoped that the more optimal algorithm for categorizing the community based on their economic well-being can be identified. A survey was used to collect data, including questions about income, number of children, and type of employment. The timing of implementation, interpretation of clustering findings, and the Silhouette Index were all used in the evaluation process. It is clear from the findings that DBSCAN can identify outliers and adapt better to irregular data patterns, while K-MEANS is faster and creates more organized clusters. This research offers lessons for policymakers in developing focused community welfare development programmers, which also aids in selecting an appropriate clustering system for socio-economic data.
Augmented Reality untuk Navigasi dan Pengenalan Fasilitas di Gedung Teknik Informatika Berbasis Android
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2025): Agustus : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i3.5428

Abstract

This research aims to develop an Augmented Reality (AR) application as a navigation aid and facility introduction tool in the Informatics Engineering Building of Bengkalis State Polytechnic. This application is specifically designed to help new students and visitors understand and navigate the complex campus environment. By utilizing AR technology, the application provides an interactive guide that displays routes to various laboratories and presents detailed information about available facilities. The method used in developing this application is the Multimedia Development Life Cycle (MDLC), which consists of five stages: planning, design, development, testing, and launch. In the planning stage, a user needs analysis is conducted to ensure that the developed application meets the expectations and needs of end users. The design stage includes the creation of user interaction flows and visual interfaces, while the development stage involves the integration of AR technology with location data and campus facility information. Testing is conducted to ensure the functionality and accuracy of the navigation features and the quality of the user experience before the application is launched. The results of this study indicate that the AR application is able to provide a more interactive and informative experience than conventional media. New students and visitors can easily find laboratory locations and obtain a clear overview of campus facilities. In addition to improving navigation efficiency, this application also supports the adoption of digital technology in the campus environment. Thus, this research not only contributes in terms of ease of access to information, but also encourages the use of AR technology in the world of education, especially at Bengkalis State Polytechnic.
Analisis Sistem Informasi Manajemen Rumah Sakit Bagian Farmasi dengan Metode HOT-FIT di Rumah Sakit Fitri Candra Wonogiri Fatimah Mustikawati; Triana, Triana; Khabib Alia Akhmad
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 3 No. 3 (2025): Agustus : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v3i3.5432

Abstract

This study aims to analyze the performance of the Hospital Management Information System SIMRS in the pharmacy unit of RSU Fitri Candra Wonogiri using the HOTFIT model approach. The HOT-FIT model is an evaluation framework that includes four main aspects, namely Human (system users), Organization (organizational support and policies), Technology (system and information quality), and Net Benefit (benefits obtained from system use). This study uses a quantitative method with Structural Equation Modeling data analysis techniques based on Partial Least Square (SEM-PLS), which allows for simultaneous analysis of relationships between variables. Data were obtained from 61 respondents who are SIMRS users in the pharmacy department, through the distribution of Likert-based questionnaires. The results of the analysis show that the four independent variables Human, Organization, Technology, and Net Benefit have a positive and significant effect on SIMRS performance. The Adjusted R-Square value of 0.902 indicates that the model is able to explain 90.2 of the variability in system performance. Empirical findings in the field indicate that the implementation of SIMRS has had a tangible impact on improving work efficiency, accelerating the pharmaceutical service process, and supporting decision-making based on accurate and up-to-date data. Furthermore, active user involvement, managerial support, and the quality of the information technology system are crucial factors in supporting the system's successful implementation. This study confirms that the success of SIMRS depends not only on its technological sophistication but also on strong integration between human and organizational aspects and the resulting benefits. Therefore, a holistic approach to information system evaluation and development is crucial for improving the quality of healthcare services in hospitals.

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