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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Social Responsibility Projects by Higher Education Forum
Poningsih Poningsih
AMIK Tunas Bangsa, Pematangsiantar
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Social Sciences

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Penerapan Data Mining Klasifikasi Tingkat Pemahaman Siswa Pada Pelajaran Matematika Tri Novika; Poningsih Poningsih; Harly Okprana; Agus Perdana Windarto; Hasudungan Siahaan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i1.2498

Abstract

The purpose of the research is to classify the concept of understanding students in Mathematics lessons. In the learning process teaching students understanding learning materials is very important. The attainment of student understanding is a function of the being of an educator. Many formulas and concepts to understand make it difficult for students to solve math problems. The data source was obtained from the results of a math comprehension questionnaire of eighth graders at Tamansiswa Tapian Dolok Private Junior High School. The classification method used is the C4.5 Algorithm and assisted with RapidMiner software. Attributes used are student interests, how students learn, student motivation, how to teach teachers, learning media, and infrastructure facilities. The results of the calculation of entropy values and attribute gains obtained 15 rules of mathematical comprehension decisions with 9 rules of understanding status and 6 rules of inconsistency status. Classification modeling with C4.5 Algorithm on RapidMiner obtained 96.00% accuracy Classification with C4.5 Algorithm can be applied and provide new information about the classification of student comprehension concepts in math lessons
Pelatihan Web Programming di SMK Dr Cipto Mangunkusumo Perdagangan Poningsih Poningsih; Sundari Retno Andani
Journal of Social Responsibility Projects by Higher Education Forum Vol 2 No 1 (2021): Juli 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (272.939 KB)

Abstract

The development of information and technology is currently so fast. Along with these developments, users must be up to date in accordance with the times. Currently there are many web applications that can be used as needed. To balance the development of information technology with the needs of users, it is very necessary for human resources who are able to provide creative ideas and high innovation. SMK Dr. Cipto Trade has national talents who are competent in the field of information technology. Student / I SMK Dr. Cipto Trade, especially the RPL Department, has sufficient capabilities in the field of information technology, including the web. However, the students' abilities still need to be added and sharpened. One way is to provide them with web programming training using HTML and the PHP programming language. The results of this training show a significant increase in ability.
Penerapan Algoritma K-Means Clustering Pada Penyebaran Penyakit Infeksi Saluran Pernapasan Akut (ISPA) di Provinsi Riau Ninaria Purba; Poningsih Poningsih; Heru Satria Tambunan
Journal of Information System Research (JOSH) Vol 2 No 3 (2021): April 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.773 KB)

Abstract

Health is a valuable thing for humans because anyone can experience health problems, as well as humans who are very susceptible to various kinds of diseases but we don't realize the cause. The K-means algorithm is not affected by the order of objects used, this is proven when the author tries to randomly determine the starting point of the cluster center of one of the objects at the beginning of the calculation. The resulting number of cluster membership is the same when using another object as the starting point of the center of the cluster. However, this only affects the number of iterations performed. Object clustering (object clustering) is a process of object mining which aims to partition existing objects into one or more object clusters based on their characteristics. This study examines how to use the K-means Cluster Analysis Algorithm in case studies of human infectious diseases, namely Acute Respiratory Infection. This study examines the K-means Cluster Analysis method in Acute Respiratory Infection based on a set of variables established per municipality in Riau Province
Co-Authors Agus Perdana Windarto Hasudungan Siahaan Heru Satria Tambunan Ninaria Purba Okprana, Harly Sundari Retno Andani Tri Novika