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All Journal Nusantara Science and Technology Proceedings
Tresna Maulana Fahrudin
Faculty of Computer Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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Sentiment Analysis in Social Media: Case Study in Indonesia Amri Muhaimin; Tresna Maulana Fahrudin; Syifa Syarifah Alamiyah; Heidy Arviani; Ade Kusuma; Allan Ruhui Fatmah Sari; Angela Lisanthoni
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4106

Abstract

Stunting is a problem that currently requires special attention in Indonesia. The stunting rate in 2022 will drop to 21.6% and for the future, the government has set a target of up to 14% in 2024. There have been many government efforts in implementing programs to reduce stunting rates. However, not everything runs optimally. Rapid technological developments and freedom of expression in the internet world produce review text data that can be analyzed for evaluation. This study aims to analyze the text data of Twitter users' reviews on stunting. The method used is a text-mining approach and topic modeling based on Latent Dirichlet Allocation (LDA). The results show that negative sentiment dominates by 60.6%, positive sentiment by 31.5%, and neutral by 7.9%. In addition, this research shows that 'anak', 'turun', 'angka', 'cegah' and 'gizi' are among the words that often appear on the topic of stunting.
Bibliometric Analysis and Literature Review of Big Data Research Fields using Publish or Perish and VOSviewer Tresna Maulana Fahrudin
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4140

Abstract

The evolution of data develops from homogeneous data to heterogeneous data, resulting in the emergence of structured, semi-structured, and unstructured data. The current trend in research methods is not only based on qualitative methods but is shifting towards quantitative with the spread of social media data which can be analyzed using Big Data technology. Explore Big Data ideas and research requires supporting software to collect bibliography data and literature review. Therefore, the research implements bibliometric analysis and literature review in Big Data fields using Publish or Perish to collect bibliography data and using VOSviewer to visualize bibliometric networks. The results of research using keywords containing the term Big Data and Hadoop software produced around 200 titles of scientific articles from the Scopus Journal to produce bibliography data visualizations based on network visualization, overlay visualization, and density visualization. Network visualization displays Big Data research clusters in the fields of data mining, health, education, data security, sentiment analysis, spatial temporal, machine learning, and blockchain. Literature reviews are carried out by identifying problem objects, data samples, methods, and tools, as well as evaluating of the scientific articles collected. In future research, further bibliometric analysis is needed using data from scientific article authors and looking at the author's connection to their research field.
Design and Implementation of a Database and RBAC for Scientific and Competency Mapping Web-based Information System for Lecturers at UPN “Veteran” Jawa Timur Tresna Maulana Fahrudin; Achmad Yusuf Al Makruf
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4148

Abstract

Scientific and competency mapping web-based information system aims to address several relevant issues within the context of the Tri Dharma framework in higher education, specifically at UPN "Veteran" Jawa Timur. One of the primary issues is how to review and evaluate the implementation of Tri Dharma, especially in the areas of Education and Teaching, Research, Community Service, and publications, in alignment with the parent-subfields of study and competencies mapping in each study program. Therefore, the research proposes to create an innovative solution that can review and evaluate the alignment of implementation of Tri Dharma in higher education. The research developed a database and Role Base Access Control (RBAC) for web-based information system that lecturers can input education and teaching, research, community service activities, and publications based on the available academic fields, while also helping to identify lecturer expertise according to the knowledge mapping in their respective study programs through a visualization dashboard. The development plan for this application begins with the planning phase, including analyze the system's business processes to understand the system needs of users, designing the necessary features, completing master data such as a list of parent field of study and subfield of study for each study program. This is essential for obtaining an initial understanding of the data structure for the database design. After the database design has been completed, the next step is to implement the database design into an actual database structure using MySQL and then proceed with the development of the web-based application. The system was designed to generate curriculum vitae and visualization in the spider chart to make it easier for the user to understand their scientific and competencies.
Co-Authors Achmad Yusuf Al Makruf Ade Kusuma Allan Ruhui Fatmah Sari Amri Muhaimin Angela Lisanthoni Heidy Arviani Syifa Syarifah Alamiyah