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JSAI (Journal Scientific and Applied Informatics)
Published by Universitas Muhammadiyah Bengkulu
ISSN : 26143062     EISSN : 26143054     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal terbitan dibawah fakultas teknik universitas muhammadiyah bengkulu. Pada jurnal ini akan membahas tema tentag Mobile, Animasi, Computer Vision, dan Networking yang merupakan jurnal berbasis science pada informatika, beserta penelitian yang berkaitan dengan implementasi metode dan atau algoritma.
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Articles 507 Documents
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Redesain UI/UX Sistem Pemesanan Menu Menggunakan Metode Design Thinking Falaq, Zilva Nur Fajrul; Sharazita Dyah Anggita; Wulandari, Irma Rofni; Baita, Anna
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9457

Abstract

This study aims to design and develop the user interface (UI) and user experience (UX) of a web-based menu ordering system using the Design Thinking method. The development process includes the stages of empathize, define, ideate, prototype, and testing to ensure that the final solution aligns with user needs. The prototype was further refined into a frontend design emphasizing ease of navigation, clarity of information, and efficiency of the ordering flow. Usability evaluation was conducted using the System Usability Scale (SUS). The assessment results show a SUS score of 70, in the Good category in the adjective rating. This indicates that the system design is acceptable to users and can be further developed into a complete frontend implementation. Overall, the Design Thinking approach proved effective in producing an intuitive, functional, and user-centered interface design.
Penerapan Metode Gamma Correction dan MobileNet Untuk Klasifikasi Citra Daun Purba, Mariana; Ayumi, Vina; Rahayu, Sarwati; Salamah, Umniy; Handriani, Inge; Ani, Nur
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9459

Abstract

This study proposed an enhanced leaf image classification model by integrating gamma correction as a preprocessing technique with the MobileNet (MNET) architecture to improve visual feature extraction. The dataset consisted of 750 images representing five classes of medicinal plants, namely Psidium guajava, Syzygium polyanthum, Piper betle, Annona muricata, and Andrographis paniculata, obtained from personal documentation, online sources, and public datasets. Gamma correction was applied to adjust illumination and enhance leaf texture clarity, followed by resizing and normalization processes. Data augmentation was performed using rotation, contrast adjustment, horizontal and vertical flipping, brightness adjustment, and channel shifting to increase training data variation. The MobileNet architecture was expanded with additional layers, including global average pooling, flatten, Dense–ReLU, and Dense–softmax, enabling it to function as an efficient feature extractor and classifier. Experiments were conducted using a batch size of 32, 50 epochs, the Adam optimizer, and a learning rate of 0.0001. The combined MNET and gamma correction model achieved a training accuracy of 99.00%, a validation accuracy of 87.50%, and a testing accuracy of 84.16%.
Pengembangan dan Evaluasi Usability Website Pemasaran Alat Hadroh Menggunakan System Usability Scale (SUS) Dwi Setiawan, Danu; Fadjeri, Akhmad
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9520

Abstract

The rapid growth of digital technology has encouraged micro, small, and medium enterprises (MSMEs) to adopt digital marketing strategies in order to remain competitive. This study aims to develop a marketing website for the Syekh Hadroh MSME and to evaluate the quality of the developed system in terms of functionality and usability. The research employed a Research and Development (R&D) approach with the Waterfall model as the system development method. Functional testing was conducted using Black Box Testing with the Equivalence Partitioning technique, while usability evaluation was performed using the System Usability Scale (SUS) involving 10 respondents. The results of Black Box testing indicate that all test scenarios were successfully executed with a success rate of 100%, demonstrating that the system functions according to the specified requirements. Furthermore, the SUS evaluation produced an average score of 73, which falls into the “good” usability category, indicating that the system is easy to use and well accepted by users. These results suggest that the developed marketing website is functionally reliable and usable, and therefore suitable for implementation as a digital marketing medium to support market expansion and improve service quality for MSMEs.
Teknologi Informasi, Media Sosial, dan Transformasi Digital Terhadap Performa Usaha UMKM Laundry di Kota Batam Tjahyadi, Surya; Claudia Erica, Cindy; Sama, Hendi
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9545

Abstract

This study examines the effects of information technology, social media, and digital transformation on the business performance of laundry MSMEs in Batam City using a quantitative associative approach. Data were collected from 94 owners or managers of laundry MSMEs through questionnaires and analyzed using IBM SPSS Statistics 25. Classical assumption tests indicated that the data were normally distributed and free from multicollinearity and heteroscedasticity. Simultaneous testing showed that information technology, social media, and digital transformation jointly have a significant effect on business performance (F = 4.588; p = 0.005). However, partial test results revealed that only social media has a positive and significant effect on business performance, while information technology and digital transformation do not show significant effects. These findings suggest that in small-scale service MSMEs, market-oriented digital tools are more effective in improving business performance than complex internal technology adoption.
Analisis Sentimen Aplikasi MPStore Menggunakan Algoritma Logistic Regression dan LDA Tia Arlin Dita; Ali Ibrahim; Rizka Rahmadhani; Mira Afrina
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9557

Abstract

The rapid growth of the digital economy encourages user satisfaction as the key to successful application innovation. Within technopreneurship, understanding user sentiment is essential for sustainable product development. This study aims to analyze sentiment and identify the deter-minants of user satisfaction regarding the MPStore application based on reviews from the Google Play Store. Review data were collected via scraping and analyzed using Logistic Regression (LR) for sentiment classification (positive, negative, neutral) also Latent Dirichlet Al-location (LDA) for satisfaction topic extraction. The result shows that the LR model achieved an accuracy of 88.5%. The LDA analysis also successfully revealed eight main topics, includ-ing ease of use, transaction speed, and technical obstacles (errors, login, balance issues). Over-all, a majority of users hold a positive perception of MPStore's efficiency and ease of transac-tions. This study concludes that the combination of sentiment analysis and topic modeling is effective for explaining the level of user satisfaction and providing a strategic foundation for digital application developers.
Analisis Komparatif UI/UX Aplikasi Pemesanan Transportasi Online Menggunakan System Usability Scale (SUS) dan Heuristik Evaluation Paisal; Dian Nugraha; Bakhtiar .K; Mariana Purba; Dwi Fitri Brianna; Lemi Iryani; Nia Umilizah; Aulia Aryani; Rizki Adi Saputra; Eldhiyano Pratama; Novita Nurjannah Putri
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9597

Abstract

This study aims to analyze and compare the User Interface (UI) and User Experience (UX) of three online transportation applications in Palembang City, namely Gojek, Grab, and Maxim. The rapid growth of Indonesia’s online transportation industry, which reached 88.3 million users in 2024, highlights the importance of evaluating usability quality. Palembang has unique geographical characteristics, as the city is divided by the Musi River, creating specific challenges for app-based transportation services. The novelty of this study lies in the integration of the System Usability Scale (SUS) with Nielsen’s heuristic evaluation within an urban geographical context fragmented by natural barriers. A descriptive comparative approach was employed, involving 120 active users and three UI/UX expert evaluators. The results show that Gojek achieved the highest SUS score of 78.5 (Good), followed by Grab with 75.2 (Good) and Maxim with 68.7 (OK). One-Way ANOVA indicates significant differences among the applications (F = 12.847; p < 0.001). Theoretically, these findings demonstrate that an integrated usability evaluation approach provides a more comprehensive understanding of UI/UX quality in geographically specific contexts.
Dashboard Analitik Human Capital Development Plan Jabatan Fungsional Manajemen ASN Cahyaningsih, Elin; Amani Rizki Ananda, Inarotul; Jihan Ramadhani, Putri; Saputro, Budi; Hidayati, Rosanti
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9618

Abstract

The human capital development plan analytics dashboard is a business intelligence tool designed to assist in policy-making and decision-making in the development of competencies and careers of functional officials in ASN management, aiming to improve the quality of ASN management services. The value proposition canvas approach is used to identify problems and analyze user needs to enhance the success of user-based technology implementation. Business intelligence visualization is implemented using the Laravel and Node.js framework with JavaScript programming. Research results show that there are 4 thematic HCDP analytics dashboards, namely HCDP statistics, competency values, competency achievements, and recommendations for the development of functional management ASN position competencies. Future research challenges include improving the availability, accuracy, and integration of technical competency mapping data. However, this dashboard provides a strategic basis for formulating business intelligence recommendation models that will support the sustainable development of JFMASN competencies.
Implementasi Aplikasi EIGHT untuk Pengembangan Kompetensi Aparatur Sipil Negara Nurmadewi, Dita; Cahyaningsih, Elin; Agrandis, Nanda; Ardiansyah, Munif; Saputro, Budi
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9619

Abstract

EIGHT (Academy for Government Human Capital Management Specialist) is a technology-based knowledge management system (KMS) designed to improve the management of the competency of the State Civil Apparatus (ASN). In an effort to support bureaucratic reform and improve public service quality, EIGHT integrates the Learning Management System (LMS) and Knowledge Management System (KMS), allowing ASN to access training materials, regulations, and important documents through an easily accessible digital platform. The Agile Software Development Life Cycle (SDLC) approach was chosen in the development of this system to ensure flexibility, rapid iteration, and responsiveness to user feedback. The research findings indicate that the EIGHT platform has successfully provided an efficient solution for managing ASN competencies, with easy access through the Single Sign-On (SSO) feature. Although some challenges remain in terms of integration and continuous updates, this system shows great potential in supporting the improvement of ASN professionalism and strengthening the culture of continuous learning within government organizations. This system is expected to become a model for the development of technology-based systems in the public sector in the future.
Metode Retrieval-Augmented Generation dalam Pengembangan Chatbot Large Language Model pada Service Informasi Publik Disdukcapil Anambas Muhammad Habsyi Mubarak; Sutopo, Joko
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9632

Abstract

Population administration services in the Anambas Islands Regency face significant challenges related to limited information access caused by geographical conditions. Service information on the official Disdukcapil website, which is passive, often makes it difficult for the public to obtain fast and relevant answers. This condition leads to service queue buildups and potentially decreases public satisfaction. As a solution, an intelligent chatbot application based on a Large Language Model (LLM) with a Retrieval-Augmented Generation (RAG) approach was developed. This method effectively combines precise information retrieval capabilities from a document database with the LLM's natural language understanding ability to produce contextual answers. The system's development process was carried out using the LangChain framework, Chroma vector store, and was integrated into a web interface as the frontend. Official Disdukcapil service information was processed through chunking, embedding, and RAG pipeline creation stages. The results showed that the chatbot was able to respond to inquiries about population services accurately and efficiently. Based on evaluations using the BERTScore metric, the system obtained average scores of 98,5% for Precision, 99,1% for Recall, and 98,8% for F1-Score. This system can be accessed from anywhere, greatly assisting people in remote areas, and serves as a potential initial prototype to support the digitization of public services in archipelago regions.
Strategi Profiling ASN: Peningkatan Kualitas Data ASN menuju Data-Driven Manajemen Talenta Ibrahim, Andi; Cahyaningsih, Elin; Berly, Alfonsius
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9634

Abstract

The State Civil Service Agency (BKN) implements the ASN data quality index (IKD) as an integrated instrument to ensure the quality of national ASN personnel data. The dimensions of ASN data quality are completeness, timeliness, accuracy, and consistency. These dimensions provide a comprehensive picture of the quality of ASN Profile Data and serve as the basis for coaching, standardization, and improvement of data governance. The implementation of IKD maintains the integrity of civil service data and enables more accurate and evidence-based ASN talent planning and management processes. This study uses a gap analysis approach to formulate ASN profiling strategies through improving the quality of ASN data. Gap analysis is able to map the differences between actual and ideal conditions objectively so that organizations can set targeted and strategic improvement priorities. The results of the study show that there are four strategic recommendations, namely the formulation of ASN data quality regulations, the structuring of ASN data quality development services and business processes, ASN data quality assistance and development, and the development of services in a shared digital platform.

Page 48 of 51 | Total Record : 507

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