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All Journal Jurnal technoscientia Jurnal ICT : Information Communication & Technology JURNAL TEKNOLOGI TECHNOSCIENTIA JES-MAT (Jurnal Edukasi dan Sains Matematika)
Ahmad Faqih
Program Studi Teknik Informatika, STMIK IKMI Cirebon
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Education Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering

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PEMANFAATAN LEARNING MANAGEMENT SYSTEM DALAM PROSES PEMBELAJARAN MATEMATIKA DISKRIT Novi Mardiana; Ahmad Faqih
Jurnal Edukasi dan Sains Matematika (JES-MAT) Vol 5, No 1 (2019): Jurnal Edukasi dan Sains Matematika (JES-MAT)
Publisher : Department of Mathematics Education, Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (744.241 KB) | DOI: 10.25134/jes-mat.v5i1.1730

Abstract

This paper presents the results related to the influence of Mathematics Ability variables and Application-Computer Self-Efficacy (ACSE) students on the Quality of Learning Outcomes in the process of learning Discrete Mathematics by utilizing LMS as a support system. The research method used is Classroom Action Research (CAR), using a quantitative approach. Respondents were third semester students of the Informatics Engineering study program STMIK IKMI Cirebon. The research data were obtained from observations, questionnaires, databases of grades of Calculus and Linear Algebra courses, and recapitulation of student learning outcomes for one semester in Discrete Mathematics lectures. Data analysis was performed using the Dummy Regression method. Based on data analysis, it was found that Mathematical Ability and Application-Computer Self-Efficacy (ACSE) of students had a positive effect on the quality of the results of Discrete Mathematics learning using LMS as a support system.
Analisis Cluster Hasil Uji Kompetensi Lembaga Sertifikasi Profesi (LSP) Melalui Teknologi Data Mining Raditya Danar Dana; Ahmad Faqih
Jurnal ICT : Information Communication & Technology Vol 19, No 2 (2020): JICT-IKMI, Desember 2020
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v20i2.275

Abstract

The implementation of the Competency Test at the LSP institution in higher education is an effort to ensure that students have abilities in certain fields according to predetermined competency standards. Education providers are required to always strive to improve the quality and quality of education with the aim that the student's academic performance will always improve. From the results of observations made in the research location, it was found a problem with the high number of failures in the implementation of the competency test. This study aims to conduct cluster analysis of the data resulting from the implementation of competency tests with the Data Mining approach through several stages in the form of data collection, data cleaning, data transformation, data modeling and data evaluation. This study resulted in grouping the results of competency tests which were divided into 3 clusters, namely cluster 1 as much as 38%, cluster 2 as much as 32% and cluster 3 as much as 30%..
PENGELOMPOKAN PENYANDANG MASALAH KESEJAHTERAAN SOSIAL DI JAWA BARAT MENGGUNAKAN K-MEANS DAN FUZZY C-MEANS Lina Rohmaniah; Ahmad Faqih; Tati Suprapti
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 15 No 1 September 2022
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v15i1.3847

Abstract

Social welfare problems still occur in some provinces in Indonesia, including in West Java. Social welfare problems cannot be completely overcome, but according to policy perceptions, they can be reduced, therefore analyses are required. Grouping data on people with social welfare problems to find out the best group based on the data will provide alternative policies and appropriate methods. The purpose of this study was to find the best group of people with social welfare problems using the k-means and fuzzy c-means methods based on the results of the DBI evaluation. The methods used for this grouping were the k-means and fuzzy c-means algorithm methods. From the results of this study, it was obtained the best 2 groups from the experiment of fuzzy c-means algorithms based on the smallest DBI assessment or close to 0 between the k-means and fuzzy c-means algorithms from each DBI value, they  were k-means algorithm with value of 0.029 and fuzzy c-means algorithm with value of 0.006.  
PENGELOMPOKAN PENYANDANG MASALAH KESEJAHTERAAN SOSIAL DI JAWA BARAT MENGGUNAKAN K-MEANS DAN FUZZY C-MEANS Lina Rohmaniah; Ahmad Faqih; Tati Suprapti
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 15 No 1 September 2022
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v15i1.3847

Abstract

Social welfare problems still occur in some provinces in Indonesia, including in West Java. Social welfare problems cannot be completely overcome, but according to policy perceptions, they can be reduced, therefore analyses are required. Grouping data on people with social welfare problems to find out the best group based on the data will provide alternative policies and appropriate methods. The purpose of this study was to find the best group of people with social welfare problems using the k-means and fuzzy c-means methods based on the results of the DBI evaluation. The methods used for this grouping were the k-means and fuzzy c-means algorithm methods. From the results of this study, it was obtained the best 2 groups from the experiment of fuzzy c-means algorithms based on the smallest DBI assessment or close to 0 between the k-means and fuzzy c-means algorithms from each DBI value, they  were k-means algorithm with value of 0.029 and fuzzy c-means algorithm with value of 0.006.  
Co-Authors Lina Rohmaniah Novi Mardiana Raditya Danar Dana Tati Suprapti