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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.
Arjuna Subject : -
Articles 471 Documents
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Perancangan Aplikasi Mobile Berbasis Flutter untuk Pemantauan Data Sensor IoT: Solusi bagi Manajemen Suhu dan Kelembapan Arif Setia Sandi Ariyanto; Iis Setiawan Mangku Negara; Deny Nugroho Triwibowo; Yanuar Feriyanto
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7724

Abstract

This study developed a mobile application based on Flutter to monitor Internet of Things (IoT) sensor data for real-time measurement of temperature and humidity. The system utilizes a DHT22 sensor connected to an ESP32 microcontroller, transmitting data via the MQTT protocol. The data is stored in a MySQL database hosted on a designated server. The mobile application offers an interactive interface to display real-time data, historical graphs, and automatic notifications when environmental parameters exceed predefined thresholds. Testing was conducted using the User Acceptance Testing (UAT) method involving 20 respondents. The results indicate a high level of application success, with an average user satisfaction rate of 93% for ease of login, 90% for the interface, 90% for data processing speed, and 93% for notification accuracy. By integrating IoT, Flutter, and MySQL technologies, this application provides an efficient digital solution for environmental management, with potential for development across various industrial sectors requiring such capabilities.
Implementasi SCRUM Agile Pada Rancang Bangun E-Commerce Paisal
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7753

Abstract

E-Commerce is an application that supports buying and selling activities using internet media so that many people can access it. the development of complex e-commerce systems requires an effective project management approach to produce products that meet user needs and are completed optimally. Agile methods, especially SCRUM, are becoming an increasingly popular choice in software development, including for e-commerce projects. The SCRUM method is applied in several sprints, which include planning, development, testing, and evaluation stages. After several sprints were completed, Integration Testing was conducted to evaluate system performance and integration between modules, such as user login, product management, shopping cart, checkout, and payment gateway. Based on the results of Integration Testing, the e-commerce system developed with the SCRUM method shows a success rate of 91%.
Perancangan dan Implementasi Intelligence Human Capital Development Plan untuk Jabatan Fungsional Kepegawaian Dita Nurmadewi; Elin Cahyaningsih; Randi Sunardi; Akbarnama Tangguh Dipantara
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7888

Abstract

Effective human resource management is an important key to improving organizational performance, especially in the government sector such as the State Civil Service Agency (BKN). This research focuses on the development of a website-based Intelligent Human Capital Development Plan (IHCDP) that utilizes the latest information technology, including PHP, JavaScript, and SQL, to dynamically identify, analyze, and meet employee training and development needs based on integrated data performance and training needs. The approach used in this study is the waterfall method, where each stage from design to implementation is carried out regularly and in a structured manner. The developed system allows real-time visualization of employee performance data, as well as analysis of training needs needed to improve employee competency in accordance with BKN's strategic objectives. The results of this study indicate that the implementation of IHCDP at BKN can increase efficiency in identifying specific training needs, aligning competency development with organizational goals, and significantly strengthening employee capacity in facing changes and challenges in the work environment. The use of information technology in this system also encourages the creation of transparency and accountability in human resource management in the BKN environment. Recommendations for developing features can later be developed into a dashboard to view the history of competency results carried out every two years at each level of office.
Transformasi Social Interaction, Trust, dan Norm Untuk Mendukung Pengembangan Knowledge Management System Noprisson, Handrie
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7905

Abstract

The success of a Knowledge Management System (KMS) is not solely determined by technological aspects but also by social factors such as social interaction, trust, and norm of reciprocity, which influence the process of explicit knowledge sharing. This study aims to analyze the role of these three factors in supporting KMS development in higher education institutions. This research employs a descriptive and exploratory approach, utilizing a survey method involving 420 student respondents from various universities in Indonesia. Data were collected through an online questionnaire and analyzed using SMART PLS (Partial Least Squares-Structural Equation Modeling). The analysis results indicate that all indicators have good validity (loading factor > 0.7) and meet the reliability criteria (Cronbach’s Alpha and Composite Reliability > 0.7). Hypothesis testing using the bootstrapping method shows that Social Interaction (P = 0.002) and Norm of Reciprocity (P = 0.003) significantly influence Explicit Knowledge Sharing, while Trust (P = 0.062) remains an acceptable contributing factor. These findings suggest that the successful implementation of KMS in higher education institutions must consider the social aspects that shape the academic environment. Enhancing social interaction, strengthening trust, and fostering a culture of knowledge sharing are essential factors in optimizing KMS utilization.
Analisis Faktor Identification, Shared Language, dan Shared Vision Untuk Penerapan Knowledge Management System Untuk Mahasiswa Perguruan Tinggi di Indonesia Noprisson, Handrie
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7906

Abstract

This study aims to analyze the factors influencing Knowledge Sharing in the implementation of the Knowledge Management System (KMS) among university students. The three main variables examined are identification, shared language, and shared vision. Data were collected through online surveys and questionnaire distribution to students from various universities in Indonesia. A total of 420 questionnaires were distributed, and after validation, 400 questionnaires were used for analysis. Data analysis was conducted using SmartPLS version 3.2.7 with the Structural Equation Modeling (SEM) approach. The study results indicate that shared language has a significant influence on knowledge sharing, while identification shows a near-significant effect. Conversely, shared vision does not have a significant impact on knowledge sharing. The validity and reliability values confirm that all variables strongly contribute to the research model. The research implications suggest that a common language understanding plays a crucial role in enhancing knowledge sharing within academic environments
Analisis Faktor Explicit Knowledge dan Tacit Knowledge Untuk Penerapan Human Capital Management System Noprisson, Handrie
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7908

Abstract

In the era of a knowledge-based economy, Human Capital Management System (HCMS) has become increasingly important, particularly in the context of higher education. This study aims to analyze the influence of tacit knowledge sharing and explicit knowledge sharing on the human capital of university students. A quantitative approach was used by collecting data from 430 students through an online survey, with 420 valid responses analyzed using the Structural Equation Modeling (SEM) method. The results indicate that tacit knowledge sharing has a more significant impact on Human Capital than explicit knowledge sharing, with a t-statistics value of 6.777 and a P-Value of 0.000, demonstrating a strong and significant relationship. Meanwhile, the relationship between explicit knowledge sharing and human capital showed a t-statistics value of 1.777 with a p-value of 0.076, which remains within the hypothesis acceptance threshold but is less dominant. The implications of this study suggest that universities should design HCMS strategies that focus more on strengthening tacit knowledge sharing, such as mentoring, group discussions, and experiential learning programs. Additionally, technology-based learning management systems remain essential for documenting and distributing explicit knowledge.
Model Structural Equation Modeling untuk Analisis Standar Visi dan Bahasa pada Proses Knowledge Sharing Mahasiswa di Perguruan Tinggi Ayumi, Vina
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7909

Abstract

This study aims to analyze the factors influencing Tacit Knowledge Sharing (TKS) among university students using Structural Equation Modeling (SEM) based on Partial Least Squares (PLS). The research model focuses on three main factors: Identification, Shared Language, and Shared Vision, which are believed to contribute to knowledge sharing in academic environments. Data were collected through self-administered questionnaires from 420 students, selected using the simple random sampling method. Hypothesis testing results indicate that Identification (β = 0.253, p < 0.05) and Shared Language (β = 0.326, p < 0.05) have a significant influence on TKS, while Shared Vision (β = 0.095, p = 0.057) has a weaker effect. These findings confirm that students’ sense of belonging within the academic community and shared language in communication play a crucial role in enhancing knowledge sharing, whereas a shared vision requires further strengthening strategies. This study provides implications for universities in developing policies that promote a knowledge-sharing culture to improve the quality of learning and academic collaboration.
Analisis Pengaruh Konektivitas dan Standar Sosial pada Penerapan Knowledge Sharing System di Universitas XYZ Ayumi, Vina
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7910

Abstract

This study analyzes the factors influencing the implementation of the Tacit Knowledge Sharing System at XYZ University by considering three main variables: Social Interaction, Trust, and Norm of Reciprocity. The study employs a purposive sampling method, involving 420 students from various faculties as respondents. Data collection was conducted through questionnaires distributed using the drop-off/pick-up method. Data analysis was performed using Structural Equation Modeling (SEM) based on SMART-PLS to evaluate the relationships between variables as well as the validity and reliability of the research constructs. The results indicate that Social Interaction and Norm of Reciprocity significantly influence the implementation of the Tacit Knowledge Sharing System, whereas Trust does not show a significant effect. These findings suggest that an academic environment that fosters social interaction and encourages a reciprocal culture enhances the effectiveness of knowledge sharing. The implications of this study provide insights for universities in designing policies to strengthen knowledge-sharing systems to improve academic collaboration
Transformasi Human Capital pada Penerapan Knowledge Sharing System Berdasarkan Shared Language dan Social Interaction di Perguruan Tinggi Ayumi, Vina
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7911

Abstract

Penelitian ini bertujuan untuk menganalisis bagaimana transformasi human capital mahasiswa dapat mendukung penerapan KSS dengan mempertimbangkan shared language dan social interaction sebagai faktor utama dalam knowledge sharing. Metode penelitian yang digunakan adalah survei daring dengan 420 responden mahasiswa dari berbagai perguruan tinggi di Indonesia. Data dianalisis menggunakan pendekatan Partial Least Squares Structural Equation Modeling (PLS-SEM) untuk mengukur hubungan antara variabel penelitian. Hasil penelitian menunjukkan bahwa shared language dan social interaction berpengaruh signifikan terhadap tacit dan explicit knowledge sharing, yang pada akhirnya berdampak pada human capital mahasiswa. Hasil penelitian ini memberikan rekomendasi tentang komponen tacit knowledge sharing memiliki kontribusi lebih besar dalam meningkatkan human capital dibandingkan explicit knowledge sharing. Dari hasil penelitan, faktor shared language dan social interaction memainkan peran penting dalam memperkuat knowledge sharing system di perguruan tinggi. Implikasi dari penelitian ini dapat digunakan sebagai dasar dalam perancangan strategi untuk meningkatkan pengelolaan dan transfer pengetahuan di lingkungan pendidikan tinggi.
Optimasi Strategi Penjualan Produk Zaskia Melalui Integrasi Algoritma K-Nearest Neighbors (KNN) dan Regresi Linier Ermatita; Belly, Belly Nagustria
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.8074

Abstract

This study aims to evaluate the model's performance in classifying and predicting the number of product sales based on several attributes. The K-Nearest Neighbors (KNN) algorithm was used for the classification task and showed good performance with an accuracy of 91.22%, recall of 92.96%, and precision of 90.18%. These results indicate that the model has a high generalization ability in recognizing sales patterns. For quantitative prediction of the number of sales, a linear regression model is used with independent variables such as regular price, selling price, rating, number of ratings, and number of favorites. The regression model yielded a coefficient of determination (R²) of 0.78, indicating that 78% of the variability of the sales amount can be explained by these variables. The coefficient analysis results show that the rating, number of ratings, and number of favorites have a positive influence on the sales amount, while the selling price and normal price have no significant effect. The Root Mean Squared Error (RMSE) value of 33.09 indicates a fairly low level of prediction error. These findings indicate that the model used is effective in helping analyze and forecast product sales.

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