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ANALISIS KEPUASAN MAHASISWA DALAM PEMBELAJARAN ONLINE DENGAN MENGGUNAKAN LMS MOODLE Ilmadi Ilmadi; Elda Herlina; Isnurani Isnurani; Dede Muhtar Safari
HISTOGRAM: Jurnal Pendidikan Matematika Vol 5, No 2 (2021): Histogram
Publisher : STKIP Andi Matappa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31100/histogram.v5i2.979

Abstract

This study aims to see the level of student satisfaction in using Moodle as an online learning platform and to determine the independent variables that affect the level of student satisfaction. The type of this research is descriptive quantitative research with survey method, the object of this research are 531 students of Mathematics Study Program, FMIPA Pamulang University. The instrument used to collect data is Student Satisfaction Questionnaire towards online learning by using Moodle Learning Management System (LMS). Data analysis using correlation test. The results of this study are, the level of student satisfaction in using Moodle is high with an average of 74.70%, with a significant level of 0.01; adjusted for R2 the value of the four independent variables was obtained 0.383. While the multiple correlation analysis shows for each independent variable, namely gender 0.33; Age 0.06; experience using Moodle is 0.44 and for internet connection is 0.12 with the conclusion that the level of student satisfaction using Moodle is relatively high.
Rancang Bangun Sistem Untuk Menentukan Jumlah Jam Overtime Pada Produksi Barang Dengan Metode Fuzzy Tsukamoto Di PT BONJU Berbasis Web Ectwan Pasudewa Kresna Marcthadhan; Dede Muhtar Safari
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 03 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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

Abstract

When determining the number of hours of overtime PT Bonju still uses the manual method by only looking at the information on the number of goods obtained (results). This causes the number of hours of overtime that is out of sync, the number of items that are not stable in the warehouse and also causes ineffective production data management. Therefore, the process of determining the amount of overtime is reassessed by the method of calculating the number of requests from buyers, inventory and also the number of goods obtained (results). These 3 variables are used to determine the number of hours of overtime that must be done to cover requests from buyers on one working day. The procedure used in this system is by using the fuzzy tsukamoto method. This method was selected because it has a rule in the form of IF-THEN which is presented on a fuzzy set using a continuous membership function. As a result, the inferred output of each condition is given based on the predicate. Output which is interpreted is the number of hours of overtime that must be done to cover requests from buyers in one day. The application to determine the number of overtime hours by using the Fuzzy Tsukamoto method that the author made turns out not only to be able to calculate the number of overtime hours that will be carried out by the production department but also the amount of inventory needed for the next day and support the running of production.