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All Journal Jurnal Informatika Scientific Journal of Informatics JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL ILMIAH INFORMATIKA JURNAL TEKNOLOGI DAN OPEN SOURCE IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Minda Baharu Building of Informatics, Technology and Science JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Journal of Information System and Technology (JOINT) International Journal of Research in Vocational Studies (IJRVOCAS) JUPADAI : Jurnal Pengabdian Kepada Masyarakat Jurnal Siteba Jurnal Pengabdian Barelang Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Alvendo Wahyu Aranski
Institut Teknologi Batam, Indonesia
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Journal : JURNAL TEKNOLOGI DAN OPEN SOURCE

 1 
FINITE STATE AUTOMATA DAN LOGIKA FUZZY DALAM PEMILIHAN PAKET PELAMINAN DI KOTA BATAM Koko Handoko; Alvendo Wahyu Aranski
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 2 No 2 (2019): Jurnal Teknologi dan Open Source, December 2019
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.892 KB) | DOI: 10.36378/jtos.v2i2.285

Abstract

Marriage is something that is highly desirable for every potential partner in life. Marriage is considered a sacred activity so it needs to be well planned and mature. The growing development of a business in Batam city makes this business mushrooming because it is definitely needed by every couple who will get married. The availability of a wedding package helps each couple to choose an existing package, both in terms of price, type of tent to be used, number of clothes, and wedding photographer services. In this study, researchers conducted a determination of the problem in the form of a wedding package selection, looking for literature in accordance with the problems in the form of books and journals, analysis with fuzzy logic with the Mamdani method to complete the exact calculations so that prospective brides who will choose the aids package can choose the package that in accordance with the wishes and budget provided. The use of fuzzy logic and the Mamdani method will be assisted by Finite State Automata in making the rule design of fuzzy logic. Output targets achieved in the form of analysis of the determination of the package in the form of fuzzy logic calculations, system design from the analysis stage, retrieval of real data from each aisle in the city of Batam, and the target in the first year in the form of a determination package relevant to every wedding in the city of Batam.
DATA MINING DALAM PENGELOMPOKAN NILAI IQ SISWA Alvendo Wahyu Aranski; Koko Handoko
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol 2 No 2 (2019): Jurnal Teknologi dan Open Source, December 2019
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.583 KB) | DOI: 10.36378/jtos.v2i2.347

Abstract

Education is one aspect of life that should be owned by every human being. The most crucial times for education is during school. During school, students will start from kindergarten until finally graduating at the high school level. One aspect that is highly considered during school is the level of intelligence. Intelligence levels are often associated with IQ levels. According to research, a person's IQ level becomes a benchmark on the level of intelligence of that person. The level of intelligence can affect the lives of students in receiving lessons so well that the school should properly classify students. Grouping students based on IQ level aims that students can receive more appropriate and effective learning methods so that students can receive lessons well. At Yos Sudarso Highschool at Batam, there are a lot of students who enroll and grouping students will take a lot of time and is not efficient if done manually. Grouping students can be done quickly and precisely by utilizing data mining. One method in data mining is clustering by using K-means. The stages of this method begin with random selection K, K here is the number of clusters that you want to form. Then set K values ​​randomly, while the value becomes the center of the cluster or commonly referred to as centroid, mean or "means". Calculating the distance of each existing data on each centroid using the Euclidian formula to find the closest distance from each data with the centroid after the manual calculation is run on the data mining software, RapidMiner. The use of the K-means method for grouping is one of the right methods when viewed from the variables to be used, namely the value of the student's IQ level. This ¬K-means method will form clusters that classify students based on IQ levels. By applying data mining clustering with the K-means method it is hoped that it can help the school in classifying students appropriately so as to facilitate the school in ensuring students get the right learning method.
Co-Authors Abrar, Mohammad Masril Andi Supriadi Chan, Andi Supriadi Andri Yunaldi Ardiansyah, Luky Aritonang, Muhammad Adi Setiawan Aulia Agung Dermawan Azkia, Muhammad Zukhruful Bagus Andhika Tuah Aprilyana Malaka Bilbina, Andhin Nabila Burhan, Rifatul Mahmudah Burhan, Rifa’atul Mahmudah candra, joni eka Darmansah, Darmansah Destiadi, Rezha Dimas Akmarul Putera Dwi Ely Kurniawan Dwi Maharani, Suci Ellbert Hutabri Franky Chia Handoko, Koko Hasibuan, Annalisa Sonaria Hasla, Salsabila Dwi Putri Hendri Kremer Hernando, Luki Indra Lesmana, Naufal januardi nasir Kremer, Hendri Lawi, Ansarullah Leman, Abdul Mutalib Lesmana, Naufal Indra Mhd Adi Setiawan Aritonang Mielanda, Ezzy Mohammad Jufri Muhammad Abrar Masril Muhammad Jufri Muhammad Jufri munir, Zainul Munir Nasution, Nadia Widari Nopriadi Nopriadi Noviardi, Refli Putra, Riko Andrian Rafi Dio Rahmat Fauzi Rahmat Fauzi Ramadona, Tri Suci Ririt Dwiputri Permatasari Rizki, Sestri Novia Sarah Astiti S.Kom., M.MT Sestri Novia Rizki Situmorang, Deslika Sugiyanto, Joko Sunarsono, Hery Wibisono, Muhammad Chairul Winata, Ardiya Yasha Langitta Setiawan Yunaldi, Andri