Article Per Year (5 Year)
p-Index From 2021 - 2026
0.702
P-Index
This Author published in this journals
All Journal Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic
Endang Ayu Susilawati
Darma Persada University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Improving Teacher Competence in Utilizing Google Workspace for Digital Learning Endang Ayu Susilawati; Eka Yuni Astuti; Didik Sugianto; Herry  Susanto; Gita Pramesti; Herianto; Andi Susilo
JEPTIRA Vol 3 No 1 (2025)
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i1.96

Abstract

This community service initiative was designed to enhance teachers competencies in utilizing Google Workspace tools specifically Google Drive, Google Slides, and Google Forms to support the integration of digital learning. Conducted through an in-person workshop on February 11, 2025, the training targeted high school and vocational school teachers in the Bekasi region. The session emphasized mastery of essential features, including cloud-based file management, creation of engaging presentations, and the development of online surveys and assessments. The outcomes revealed that participants showed a significant improvement in their ability to operate these digital tools and expressed a strong intention to integrate them into their teaching practices. Overall, this activity contributed meaningfully to the advancement of digital transformation in secondary education settings.
Pengembangan Sistem Informasi Lowongan Kerja di Career Center Universitas Darma Persada Yahya Yahya; Endang Ayu Susilawati; Eva Novianti; Rahmadanti
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.83

Abstract

Career centers play a vital role in bridging the gap between higher education and the workforce by helping students and alumni access job opportunities and develop relevant skills. At Universitas Darma Persada, the career center faced challenges in disseminating job vacancy information efficiently due to time constraints and limited distribution methods, primarily via Instagram. This study aims to design and develop a web-based job vacancy information system to improve accessibility and communication between job seekers and employers.The uniqueness of this research lies in the development of a role-based job portal system that integrates multiple user roles, namely job seekers (students and alumni), career staff, and employers, into a single digital platform. The objective is to accelerate job vacancy publication, facilitate job applications, and streamline employer access to candidate data.This study adopts the Waterfall methodology, including stages of requirement analysis, system design, implementation, and testing. Data were collected through observation, interviews, and literature review. The final system was developed using Visual Studio Code, PHP, MySQL, and other web development tools.The results show that the system successfully reduces delays in job vacancy announcements, expands reach beyond Instagram, and provides a more structured and interactive recruitment process. Employers can post jobs and review CVs, while job seekers can apply directly and track their application status. The system has proven effective in enhancing the career center’s role in graduate employability support.
Pengembangan Sistem Informasi Penyewaan Billboard di PT Tecma Mitratama Advertindo Endang Ayu Susilawati; Eva Novianti; Sultan Satrio Ichsan
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.84

Abstract

The billboard rental process at PT Tecma Mitratama Advertindo currently encounters issues, particularly in calculating rental prices for periods outside the predefined options of one, three, six, and twelve months. When customers request rental durations beyond these standard periods, prices must be calculated manually using a calculator, resulting in delays in issuing rental offer letters. This study aims to develop a billboard rental information system integrated with the marketing division's workflow. The system is expected to streamline the rental process and enable real-time monitoring of billboard rental status. The system development process includes requirements analysis, system design, and web-based interface implementation. The results indicate that the developed system can reduce reliance on manual processes and enhance the efficiency of the marketing division’s operations.
Development of a Decision Support System for Motorcycle Credit Eligibility Using the TOPSIS Method Endang Ayu Susilawati; Eva Novianti; Avida Awitia; Yahya
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 2 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i2.113

Abstract

The growing need for motorcycle financing in Indonesia has encouraged financial institutions to improve the accuracy and consistency of their credit evaluation processes. At PT FIFGROUP, the current assessment procedure still relies heavily on manual surveys and subjective judgments, which often leads to variations in decision outcomes and longer processing times. This study aims to design and develop a Decision Support System (DSS) that facilitates a more objective and efficient assessment of motorcycle credit eligibility by applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Recent advancements in decision-making research highlight TOPSIS as one of the most effective multi-criteria decision-making (MCDM) methods due to its structured approach in comparing alternatives against ideal benchmarks. Building on this body of work, the proposed system incorporates organizational criteria—such as residential status, income stability, expenditure levels, and educational background—into a standardized evaluation model.The research methodology includes system requirement analysis, conceptual and database design, and the integration of the TOPSIS algorithm into the application workflow. Through normalization, weighting, and distance calculations, the system generates a final ranking score that reflects each applicant’s eligibility. The results of the study show that the DSS significantly improves the consistency of credit evaluations, reduces subjective bias, and accelerates the decision-making process. Overall, the implementation of a TOPSIS-based DSS provides a practical and reliable solution for PT FIFGROUP to enhance the quality and efficiency of motorcycle credit assessments
Co-Authors Andi Susilo Avida Awitia Didik Sugianto Eka Yuni Astuti Eva Novianti Gita Pramesti Herianto Herry  Susanto Rahmadanti Sultan Satrio Ichsan Yahya Yahya Yahya