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All Journal Bulletin of Information Technology (BIT) RISTEC : Research in Information Systems and Technology In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)
Hendrik, Dede
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Arts Computer Science & IT Economics, Econometrics & Finance Other

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Metode Penyusunan Media Promosi Digital Hendrik, Dede
In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Vol 23 No 1 (2024): In Search
Publisher : LPPM UNIBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/insearch.v23i1.943

Abstract

The development of information technology is currently felt to be running very fast and has a major influence on all aspects of life, one of the main factors accompanying this development is the internet, which is a large network of interconnections between computers throughout the world through telephone lines, satellites and other telecommunications media. The transmission of information between continents is no longer in a matter of minutes, even at any time someone can access the internet without limits
Evaluasi Kinerja Pegawai Berbasis Teknologi: Implementasi Sistem Pendukung Keputusan dengan Metode Profile Matching Suhada, Karya; Hendrik, Dede; Andriyana, Andriyana; Isnandar, Evi; Yanitasari, Yessy
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i2.2019

Abstract

Employee performance evaluation is an important process to improve work efficiency and effectiveness in government agencies. At the Simpang Empat District Office, the performance evaluation process is still carried out manually, which is often time consuming and prone to subjectivity. This research aims to develop a Decision Support System (DSS) based on the Profile Matching method to assist the employee performance evaluation process. This research uses the Profile Matching method, where the ideal performance profile is used as a reference for assessing individual performance. Employee performance data is collected through work assessments, interviews and direct observation. The SPK system developed is designed to automate the evaluation process by comparing employee performance profiles with ideal performance profiles. This system succeeded in reducing evaluation time by up to 50% and increasing assessment accuracy compared to manual methods. Employees with substandard performance can be identified quickly, allowing for timely intervention.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Co-Authors Andriyana, Andriyana Dendi Ramdani Fikri Fahru Roji Isnandar, Evi Rahayu, Dinar Sabilul Muminin, Riyad Suhada, Karya Yessy Yanitasari