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All Journal El-Mujtama: Jurnal Pengabdian Masyarakat
Katen Lumbanbatu
STMIK Kaputama Binjai Sumatera Utara
Religion Economics, Econometrics & Finance Education Social Sciences Other

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Sistem Pendukung Keputusan Pemilihan Rumput Terbaik untuk Pembuatan Taman Menggunakan Metode Vikor: Anita Shintya Devi; Akim M.H. Pardede; Katen Lumbanbatu
El-Mujtama: Jurnal Pengabdian Masyarakat Vol 2 No 3 (2022): El-Mujtama: Jurnal Pengabdian Masyarakat 
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1417.592 KB) | DOI: 10.47467/elmujtama.v2i3.1888

Abstract

A park in a limited sense is a plot of land that is arranged in such a way that it has beauty and comfort, and security for the owner or user. Based on the scale and shape, the park can be called a garden, park, or landscape. Now the park is not only filled with plants or large trees but also varies, one of which is by making ornamental grasses. A decision support system is used in the type of grass to make it easier for users to decide which grass to use for gardening. The VIKOR method is a Multi-Criteria Decision Making (MCDM) method that can be used to select more than one criteria. it can be seen that the first alternative which is the best choice of grass for gardening is peking, swiss and pescue grass with a value of Q = -0.6 and 0.05 and has the right to be recommended as a type of grass for gardening. Keywords: Park, Vikor Method, Decision Making System
Korelasi Antara Motivasi Belajar Dan Minat Baca Dengan Prestasi Siswa Menggunakan Metode Apriori: Studi Kasus SMP Negeri 11 Binjai Muhammad Syamsul Lubis; Katen Lumbanbatu; Imran Lubis
El-Mujtama: Jurnal Pengabdian Masyarakat Vol 2 No 3 (2022): El-Mujtama: Jurnal Pengabdian Masyarakat 
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (907.212 KB) | DOI: 10.47467/elmujtama.v2i3.1947

Abstract

The quality of education can be achieved by measuring how big the level of success of learning outcomes and achievements obtained by each student. Students who have high achievement are students who have learning motivation and broad knowledge base. By reading, students are expected to have the ability to absorb various knowledge which is mostly conveyed through writing.To get a relationship or correlation between the relationship of one variable with another variable of course required a method in the process of completion. There is a method used by several previous researchers, namely using the association rule method, which is a data mining technique to find associative rules between a combination of items. The algorithm used is a priori which is a step for the process of finding frequent-itemsets by iterating over the data. Where the itemset is the set of items that are in the set processed by the system, while the frequent-itemset shows the itemset that has an occurrence frequency of more than a predetermined minimum value.The objectives of this research are: 1) Build a system that can correlate between learning motivation and interest in reading with student achievement. 2) To find out the minimum support and maximum confidence and the variation between learning motivation and interest in reading and student achievement. 3) To obtain the best rules and produce the latest information. Keywords: Reading Interest, Correlation, Apriori, Data Mining
Co-Authors Anita Shintya Devi Imran Lubis Muhammad Syamsul Lubis Pardede, Akim Manaor Hara