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All Journal Indonesian Journal of Community Empowerment RISTEC : Research in Information Systems and Technology
Rahayu, Dinar
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Social Sciences Other

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Topic Modeling in Thesis Titles of Students from the Faculty of Economics Universitas Garut Using Latent Dirichlet Allocation Modeling Fahru Roji, Fikri; Rahayu, Dinar; Sabilul Muminin, Riyad; Ramdani, Dendi; Hendrik, Dede
RISTEC : Research in Information Systems and Technology Vol. 4 No. 1 (2023): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

In higher education, the completion of a thesis within a 1 -year timeframe is a prerequisite for graduation. The selection of a thesistopic is influenced by personal interest, the expertiseof the thesis supervisor, and data availability. This research is designed to analyzethe thesis topics of Economics Faculty students at Garut University using the Latent Dirichlet Allocation (LDA) Modeling method. Utilizing quantitative and qualitative approaches, this research applies the concept of big data with techniques such as Data Crawling, Data Preprocessing, and Text Mining. The research successfully conducted topic modeling using the LDA method. The analysis showed that topic modeling with the LDA algorithm resulted in seven common thesis topics used in the students' thesis titles. With this, theresearch contributes to the understanding and efficacy in the determination of students' thesis topics. It is hoped that the results of this research can be utilized to assist in the efficient completion of theses.
Review Analysis of SatuSehat Application Using Support Vector Machine and Latent Dirichlet Allocation Modeling Fahru Roji, Fikri; Gia Ginasta, Nava; Cahyan, Yayan; Rahayu, Dinar; Ramdani, Dendi
RISTEC : Research in Information Systems and Technology Vol. 4 No. 1 (2023): JURNAL RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

SatuSehat is a contact tracing application that replaces the PeduliLindungi application initiated by the Government of Indonesia with the aim of tracking the Covid -19 Virus. The success of the application can be known by analyzing sentiment reviews. In addition to the high number of reviews, there are also other things that need to be highlighted, namely the pattern of reviews that are not in accordance with refined spelling and diverse topics, so that identifying a topic from a collection of reviews is very difficult and takes a lot of time if done manually by humans. This research describes sentiment analysis and topic modeling on SatuSehat app user reviews. By applying Support Vector Machine (SVM) method for sentiment analysis and Latent Dirichlet Allocation (LDA) for topic modeling, this study reveals the views and trends expressed by users. The analyzed review data from Google Play Store includes 171,428 positive reviews and 131,246 negative reviews. The sentiment analysis results indicated the dominance of positive responses. LDA modeling resulted in 8 identified topics, from health concerns to app appreciation. However, negative topics included vaccination challenges, access issues, and app functionality. This research provides insight into users' perceptions of the SatuSehat app, providing a basis for further development and improvement of the app.
Design And Development Of A Tracer Study Information System For SMKN 2 Garut Based On Website Using Prototype Method Hidayat, Ramdhani; Rahayu, Dinar; Faraz Mutaqin, Ahmad
RISTEC : Research in Information Systems and Technology Vol. 4 No. 2 (2023): RISTEC : Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

In the current era, technological advancements in Indonesia have created extensive resources for information and communication for the community also equal with basic human needs such as clothing and food. SMKN 2 GARUT is a favorite school in Garut city, with a focus on academic and non-academic achievements. Despite the school utilizing technology such as a website, the alumni data management system, including tracer studies, is still conducted manually. This research for develop a website-based tracer study information system for SMKN 2 GARUT. Currently, alumni data is collected through the filling of biodata forms, which are then submitted to the Counseling guidance for consolidation and management. After verification, the data is sent to Headmaster. However, the system still relies on manual processes with the use of poorly managed gform links. This leads to delays in information delivery, ease of data duplication, and human error risks. In this research, the researcher employs the prototype development method, which includes requirement analysis, prototype design, system implementation, program coding, and testing. The tracer study system is developed using PHP 7.0 programming language with CodeIgniter framework and MySQL database. Based on the conducted development analysis, this application improves the average time efficiency compared to the previous system. Additionally, the use of this application reduces costs in generating alumni data reports and facilitates alumni data management at SMKN 2 GARUT. This tracer study information system effectively manages alumni data, provides appropriate control, and can be accessed through internet technology.
Assisting MSMEs in Utilizing Digital Marketing and Online Product Marketing Strategies in Jati Village, Tarogong District Rahayu, Dinar; Nugraha, Yopi; Rosliani, Elin; Habil, Riski
Indonesian Journal of Community Empowerment (IJCE) Vol 4 No 02 (2023): Indonesian Journal of Community Empowerment (May)
Publisher : Fakultas Kewirausahaan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35899/ijce.v4i02.731

Abstract

Digital marketing has become crucial for Micro, Small, and Medium Enterprises (MSMEs), especially when facing the challenges of the technological era. With technological advancements, the internet, and the digital revolution, MSMEs must be prepared to understand the use of social media to develop increasingly advanced technologies and meet the technological needs for small business development in the future. However, not all MSME operators in the Desa Jati community have yet been able to leverage technology to support their businesses. Addressing this issue, the aim and solution of this research is to provide Digital Marketing and Strategy assistance to these MSMEs. The program has shown significant positive impacts. Participants in the training have experienced improvements in their digital marketing knowledge and skills, as evidenced by their performance in evaluations.
Co-Authors Abdullah Munawar, Febri Cahyan, Yayan Dendi Ramdani Faraz Mutaqin, Ahmad Fikri Alamsyah, Fahmi Fikri Fahru Roji Gia Ginasta, Nava Habil, Riski Habil, Rizki Hendrik, Dede Hilman, Anwar Nugraha, Yopi Ramdhani Hidayat Ramdhani Hidayat, Ramdhani Rosliani, Elin Sabilul Muminin, Riyad Sidiq, Purnomo Suherlan, Encep Riswan Susanto, Benny Tedi Budiman Umamah, Ai Wijaya, Indra Zia, Halida