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Transformasi Digital dalam Peningkatan Manajemen Aktivitas Panti Asuhan Al-Mabrur Bekasi Berbasis Sistem Informasi Andy Achmad Hendharsetiawan; Aida Fitriyani; Rakhmi Khalida; Rafika Sari; Khairunnisa Fadhilla Ramdhania
Journal Of Computer Science Contributions (JUCOSCO) Vol. 4 No. 1 (2024): Januari 2024
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/9f4mka48

Abstract

Information technology which continues to develop in various sectors of life requires the parties involved to be able to adapt to technology. Efforts to adapt technology are also continuing to be developed by the management of Al-Mabrur Orphanage Bekasi. A digital transformation carried out by the Al-Mabrur Orphanage in order to improve the management of student activities using an information system. Orphanages, as places for children who need protection and care, require an organized and efficient approach in monitoring and improving the quality of these children's daily lives. This training aims to provide understanding to orphanage managers and students regarding the use of information systems, to make it easier to record student participation in every activity held by the Al-Mabrur Orphanage. With an integrated information system, orphanages can create an environment that is more adaptive to technology and responsive to various activities in the orphanage. The output of this community service activity is that students can view and access activity data easily, and orphanage managers can have digital data recapitulation to monitor and evaluate student activities.
Multinomial Naive Bayes Algorithm for Indonesian language Sentiment Classification Related to Jakarta International Stadium (JIS) Rizki Surya Pratama, Daffa; Munandar, Tb Ai; Fadhilla Ramdhania, Khairunnisa
International Journal of Information Technology and Computer Science Applications Vol. 2 No. 1 (2024): January - April 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/ijitcsa.v2i1.118

Abstract

The research focuses on analysing public evaluations, particularly those on Google Maps, about the Jakarta International Stadium (JIS). The study aims to employ the multinomial Naive Bayes algorithm to ascertain the sentiment expressed in these reviews. The objective of this study was to employ the multinomial Naive Bayes method to analyse the reviews on Google Maps pertaining to the Jakarta International Stadium (JIS). The utilised data consists of 2971 public reviews on Google Maps specifically pertaining to Jakarta International Stadium (JIS). These reviews were acquired through web scraping using a data miner. The acquired data is next processed in the text preparation phase to generate a prepared dataset suitable for analysis. This preprocessing stage includes operations such as casefolding, stopword removal, tokenizing, and stemming. The study yielded an accuracy of 0.83, or 83%, when tested on 733 data points. Out of these, 292 positive data points were correctly anticipated, while 59 positive data points were incorrectly forecast. Additionally, 317 negative data points were correctly predicted, while 65 negative data points were incorrectly predicted. The conducted modelling is subsequently categorised using a novel dataset of 161 review data points, with the objective of discerning the sentiment expressed within the dataset. The analysis of the new dataset yielded 101 reviews with positive sentiment and 50 reviews with negative sentiment.
Integration of Fuzzy AHP and TOPSIS In Decision Support System for Lecturer Academic Promotion Khalida, Rakhmi; Fadhilla Ramdhania, khairunnisa
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.8305

Abstract

Lecturer academic position or known as functional position is a criterion to measure the quality of higher education lecturers. Functional positions are also a form of performance performance for lecturers to be more measurable. Currently, technology is a tool for universities to measure lecturer performance and monitor applications for lecturer functional position increases to avoid the subjective nature that occurs in many cases. This research proposes to integrate the Fuzzy AHP and TOPSIS methods in providing recommendations to universities regarding the order of lecturers who are eligible to apply for functional promotion. This method assesses the relative importance of each criterion (education, teaching, research, community service, and support) and alternative (worthy and not worthy). The results obtained as many as 8 lecturers were declared worthy of promotion recommendations with lecturer 8 and lecturer 7 being the first and second order recommended for eligibility.