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All Journal Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Widoyoningrum , Sri
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Computer Science & IT

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SISTEM PENDUKUNG KEPUTUSAN PENENTUAN SANTRI TELADAN PADA MADRASAH DINIYYAH ROUDLOTUL QUR’AN DENGAN MENGGUNAKAN METODE TOPSIS Sholihah , Niswatus; Mufarrihah , Iftitaahul; Widoyoningrum , Sri
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.6195

Abstract

This research designs and implements a decision support system (DSS) for determining model students. The purpose is to overcome the fading enthusiasm for learning among students due to repetitive daily activities and to maximize the effectiveness of the educational program that has been designed. Used topsis method as the rank algorithm, this studied evaluates the extent to which students excel in both accepting and implementing the educational program. The results of the conducted analysis show that the system is capable of automatically determining rank based on the input data for each criterion. Based on the input data, the obtained results indicate that Nadia Roudhotul H achieves a score of 0.9971, followed by K Salma Aziza with a score of 0.9892. And the third rank is Yutnia Fatimah with a score of 0.9871. Keywords: DSS, Model Students, TOPSIS.
ANALISA SENTIMEN PADA REVIEW OPERATOR SELULER 3 (TRIINDONESIA) TERHADAP MEDIA SOSIAL (TWITTER) MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER Nur Masita , Desy; Zein Vitadiar , Tanhella; Lazulfa , Indana; Widoyoningrum , Sri
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6203

Abstract

Cellular operators are service products that provide services to users, one of which is cellular operators 3. The use of services by cellular operators has negative and positive ratings, therefore researchers make observations on the use of cellular operators by using sentiment analysis to determine positive or negative values. In the sentiment analysis, the researcher used the naïve Bayes method to draw conclusions from the observed ratings in negative, positive, and neutral forms. Observing this, the researcher conducted an assessment on social networks, namely Twitter. Because on these social networks users can usually express evaluations of whatever they feel like using cellular operators 3. So the results obtained from sentiment assessments can be in the form of tweets such as signal disturbances, internet errors, and regarding good service as a consideration for improving the quality of cellular operators 3. Through this sentiment analysiscan help researchers to easily get a classification of positive, negative and neutral values.Keywords: Cellular Operators, Twitter, Naïve Bayes.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DONATUR TETAP MENGGUNAKAN METODE WEIGHTED PRODUCT BERBASIS WEBSITE PADA PANTI ASUHAN AT-TOHIR GODONG Rahmawati , Putri; Zein Vitadiar , Tanhella; Widoyoningrum , Sri
Inovate Vol 8 No 2 (2024): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i2.6382

Abstract

At present the use of technology is developing rapidly from various field including within the organitation, but for now the use of information system technology is still not very reaching within Social Welfare Institutions (LKSA) such asa on agency, namely the At-Tohir Godong Orphange. In helping people make donations, they stil use the old and ususal method to determine donors who often come to make donations, namely by simple calculations that use calculations recapitulated fom guestbook written by donors. So in this case the orphange needs a decision-making system to detemine donors who frequently donate, with this it can help the orphange to find out which donors make regular donations, so that it can help the orphange to remind donors to donate again. To deal with the problem, it can be solved by using the weighted product method whis uses multiplication to relate attribute values in the WP method. In this case, the score of each attribute must beraised to the first power of the attribute’s weght. The results of clculation using the weighted product method using 30 samples with the criteria for the typr of work, the number of donations, the time interval for donating, and the accuray in donating has rangking results taken with the final value determined by the sum of each criterion multiplied by the criterion weight. The result with the highest score determines the final value of the rangking. Keywords: donation, donor, weighted product, LKSA.
Co-Authors Lazulfa , Indana Mufarrihah , Iftitaahul Nur Masita , Desy Rahmawati , Putri Sholihah , Niswatus Zein Vitadiar , Tanhella