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SCIENTOMETRICS STUDY AND AUTHORSHIP NETWORK ANALYSIS IN UNIVERSITAS BINA DARMA LECTURER PUBLICATIONS
Get PDFScientometrics is the study of measurement and analysis of science, innovation and technology through scientific publications. One form of measurement that can be taken is the network of authors measurement. This study uses author network analysis as a measurement tool performed in scientific studies. The purpose of this study was to observe the Authorsip network formed among professors at Universitas Bina Darma, in order to determine which professors and departments are the most productive in producing yearbook articles or magazine. The method used in this study is the centrality of graphic degrees. Software used to view Gephi 0.9.2. The data used in this study are published data for the year 2015-2020. Based on the results of this study, it can be concluded that the agent with the highest central value is the EU with a value of 28, where the EU is the agent. with the largest number of publications. Meanwhile, the actor who has an influence or relationship and frequently collaborates on publications with the highest score on Betweenness Centrality is AM with a score of 61500.94
Literature Review: Data Mining For Student Data Classification
Get PDFThe abundance of student data and student graduation number data, hidden information can be found by processing student data to be useful to the university. The processing of student data needs to be done to uncover important information in the form of new knowledge (knowledge discovery) such as information on student data classification based on profile and academic data. Therefore, in this research, the researcher plans to conduct a literature review related to data mining for student data classification with the aim of finding out about data mining data processing classification and collecting all designs used in identifying data starting from problems, methodology, equations and results. For this research, researchers used historical data from students from 2007 to 2011 who had graduated. There were 9 research journals that researchers managed to find, each of which used different algorithms or classification techniques. To conduct a literature review, researchers conducted a journal review using PICOT. The results of this research are the success of researchers in classifying student data using data mining techniques
INFORMATION SYSTEM WEBSITE DESIGN ARTICLE
No full textBina Darma University\u27s Professional Certification Institute (LSP) has a central role in supporting the recognition of student competencies through nationally and internationally recognized certifications. Along with the rapid development of technology, the Division of Information Systems and Technology (DS IT) of Bina Darma University identified an urgent need to improve the certification management system by developing a web-based platform that is more efficient and can be accessed easily by students and related parties. This research uses a qualitative approach with descriptive research type. Researchers aim to describe in detail the process of designing and developing a website for the Professional Certification Institute (LSP) of Bina Darma University. Bina Darma University Professional Certification Institute (LSP) functions as an institution that ensures student competence through the certification process. Data management of certification results that are still done manually causes various obstacles, such as difficulty in searching data, delays in distribution of certification results, and the risk of losing physical documents. To overcome these problems, a website-based information system is designed that can support the management of LSP certification data digitally.
Keyword: Professional Certification Institute, Web-Based Platform, Descriptive Research, Information Systems and Technolog
Analisis Tren Historis Dan Prediksi Beban Listrik Pada Tenaga Listrik Menggunakan Artificial Neural Network Dengan Metode Backpropagation: Systematic Literature Review
Get PDFElectric load forecasting is a critical step in ensuring the reliability of power systems amid rising energy demand driven by digitalization, industrialization, and urbanization. This article presents a Systematic Literature Review (SLR) on the application of Artificial Neural Networks (ANN) with backpropagation algorithms for load prediction based on historical data, employing the PRISMA framework for study screening and selection. The review analyzes nine relevant national journals to identify trends in accuracy, network configurations, and model effectiveness. Findings indicate that ANN with backpropagation can achieve low prediction error rates, such as a Mean Absolute Percentage Error (MAPE) of 0.05% in industrial sectors and up to 99.88% accuracy in specific cases. ANN also demonstrates strong capability in capturing dynamic changes in energy consumption, making it a reliable method for supporting operational planning and efficient electricity distribution. Despite promising performance, several aspects remain underexplored, including more complex ANN architectures, hyperparameter tuning techniques, limited cross-regional validation, and insufficient comparative analysis with alternative methods such as ensemble learning or deep learning-based algorithms. This review offers comprehensive insights into the integration of artificial intelligence in power systems and lays the groundwork for developing more adaptive, precise, and broadly generalizable load forecasting strategies in the future
Analysis of User Satisfaction Level of the Saripati Application at the South Sumatra Provincial Manpower and Transmigration Office Using the End-User Computing Satisfaction Method.
No full textThe increasing reliance on digital applications in the job recruitment process has prompted the South Sumatra Provincial Manpower and Transmigration Office to develop the Saripati application, aimed at connecting job seekers with employers. This study evaluates user satisfaction with the Saripati application using the End-User Computing Satisfaction (EUCS) method, which assesses five dimensions: content, accuracy, format, ease of use, and timeliness. A descriptive quantitative research design was employed, involving a survey distributed to 75 users of the application. The findings indicate that user satisfaction is categorized as good, with high validity and reliability across all measured variables. The results of classical assumption tests confirm the model\u27s validity, showing normality, homoscedasticity, and the absence of multicollinearity. Furthermore, both t-test and F-test results reveal that each independent variable significantly influences overall user satisfaction. This research highlights the effectiveness of the Saripati application in meeting user expectations regarding functionality and performance, ultimately providing a satisfactory user experience. The insights gained from this study can inform future improvements to the application, ensuring it continues to serve the needs of the community effectively
Analisis Kualitas Website MyHerbalife Menggunakan Metode Webqual 4.0
Get PDFEntering the digital business especially in the marketing field caused by technological developments. One of the technologies that can help businesses in the marketing field is the website. The formulation of the problem in this study which focuses on the MyHerbalife website is that the researcher will also analyze the quality of the MyHerbalife website whether it makes it easy for customers to purchase products through the website and whether MyHerbalife has a decent website. The purpose of this study is to analyze the quality of the feasibility of using the MyHerbalife website by applying the WebQual method. The method used in this study is Webqual which includes Usability, Information Quality, Service Interaction. The results obtained from this study are that the Usability variable of usability quality has a large impact on the Overall Impression variable of user satisfaction, from the Information Quality side indicates that the information variable has a large impact on the Overall Impression variable of user satisfaction, and from the Service Interaction Quality side indicates that the Service Interaction Quality variable of service quality has a large impact on the Overall Impression variable of user satisfaction
Penerapan Model Machine Learning untuk Memprediksi Serangan Jantung Dini
Get PDFHeart disease is one of the leading causes of death worldwide, and early detection is crucial in reducing mortality rates. In Indonesia, heart disease is a primary cause of death, exacerbated by limited access to healthcare, especially in rural areas. Traditional diagnostic methods, such as physical examinations and EKG, often lack accuracy in predicting heart attacks. This research aims to develop an early prediction model for heart attacks using machine learning, specifically Random Forest and Support Vector Machine (SVM). These models were trained using a dataset containing various medical variables, including age, gender, blood pressure, cholesterol levels, and ECG results. The study finds that the Random Forest model outperforms SVM, with an accuracy of 90% and a recall of 93% for heart disease detection, making it more reliable for early detection of at-risk patients. The results suggest that machine learning can significantly enhance early heart attack detection, offering a potential solution to reduce heart disease-related mortality
Pendidikan Kepemimpinan Berbasis Psikologi Sosial dalam Komunikasi Publik untuk Mitigasi Konflik dan Diplomasi Kemanusiaan pada Situasi Darurat Kebencanaan
Get PDFThis study examines how social psychology–based leadership education enhances public communication skills among leaders during disaster emergencies and contributes to social conflict mitigation. Using a qualitative case study approach, data were collected through in-depth interviews, observations, and focus group discussions involving local disaster management officials, community leaders, humanitarian volunteers, educators, and social psychologists. The findings reveal that integrating social psychology principles into leadership education strengthens leaders’ ability to understand group dynamics, manage public emotions, and deliver empathetic and credible messages. Empathy-driven and socially aware leadership communication proved effective in reducing social tensions and fostering community trust and collaboration during crises. This research contributes to the theoretical development of transformational leadership in disaster contexts and offers practical implications for leadership training institutions and disaster management organizations to design psychosocially grounded leadership education that supports humanitarian coordination and resilience.
 
INTEGRATING WEST KALIMANTAN FOLKLORE INTO CHILDREN’S LITERATURE COURSE: A CREATIVE WRITING PROJECT
Get PDFThis study explores how West Kalimantan folklore can be integrated into a children\u27s literature class at STBA Pontianak through a creative writing project. The aims are to encourage students to understand local culture through storytelling and identify the elements of folklore. The analysis is based on three selected stories: The Curse of Jubata (Kapuas Hulu), The Adventure in Lawang Kuari Cave (Sekadau), and The Adventure of Bujang Beji (Sintang). The study uses Alan Dundes’ theory (2007) to examine students’ writing using four folkloristic elements: Tradition, Cultural Transmission, Variation, and Group Consciousness. The findings show that the stories reflect continuity of local beliefs, moral values, and harmony among communities, predominantly Dayak and Malay, as appeared in the chosen stories. The study suggests that Dundes’s framework can serve as a practical tool for developing creative writing rubrics in a multicultural classroom. By linking folkloristic theory with pedagogy, teachers can help students appreciate their cultural heritage while strengthening critical and creative skills. Future research should validate this rubric and explore broader applications of folklore-based learning across different cultural settings
Pelatihan Perwasitan Tenis Lapangan Lisensi Provinsi Kalimantan Timur
Get PDFTenis lapangan merupakan permainan sangat populer di mancanegara, pertandingan ini sangat baik dalam pelaksanaan nanti Pekan Olahraga Provinsi (PORPROV) VIII di Paser yang telah di rencanakan di tahun 2026. Sehubungan dengan hal tersebut maka ada pimikiran untuk mengadakan pengabdian masyarakat, dalam kegiatan pengabdian ini adalah “Pelatihan Perwasitan Tenis Lapangan Lesensi Provinsi Kalimantan Timur 2025 yang bertujuan untuk mempersiapakan petugas wasit dan linesmen pada Pekan Olahraga Provinsi (PORPROV) VIII Paser 2026, agar nantinya mampu melaksanakan tugas sebagai pengadil dalam lapangan dan dapat menunjukkan kualitas dalam memimpin pertandingan, maupun menerapkan peraturan-peraturan tenis lapangan yang didapatkan dalam pelatihan. Dalam metode pelaksanaan kegiatan pengabdian pelatihan ini dilakukan dua cara yaitu pemberian materi teori dan demonstrasi langsung di lapangan menjadi wasit. hasil dari pelatihan ini yang berjumlah 40 orang peserta menunjukkan bahwa tingkat pemahaman tentang peraturan- peraturan tenis lapangan dinyatakan baik dan bersyarat memperoleh sertifikat lisensi provinsi, Sehingga peserta dapat bertugas pada kejuaran tenis lapangan sebagai wasit dan linesman