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Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika
Published by Universitas PGRI Sumatera Barat
ISSN : 24070941     EISSN : 25413716     DOI : -
Core Subject : Science,
Computer Science & IT
Journal Edik Informatika is a scientific publication of research results in the field of Computer Science and Education Informatics that raised the issue: 1) Development Research Results in the Field of Information Systems, 2) Research Results Informatics Education. Journal Edik Informatika published 2 times a year in March and November
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 8, No 1 (2021)" : 6 Documents clear
SISTEM CERDAS PENGELOMPOKAN MAHASISWA BERDASARKAN PREDIKSI PERFORMA BELAJAR DENGAN METODE CASE BASED REASONING Rahman, Abdul; Qosim, Arief
Jurnal EDik Informatika Vol 8, No 1 (2021)
Publisher : STKIP PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/ei.2021.v8i1.5030

Abstract

To make students can learn well, it is necessary to group students according to their abilities. This grouping of students aims to allow students to share knowledge based on the diversity of learning performance of each student. Students' academic performance can be influenced by several factors including intellectual, ability to learn and personality of each student. From these factors obtained academic performance results are grouped into five pieces of learning performance that will later be used as a rule base or rule base in the system. Rule base that is used as a benchmark for academic performance of students is (1) very bad, (2) bad, (3) medium, (4) good, and (5) very good. Grouping students based on predicted learning performance using case based reasoning method with nearest neighbor algorithm. The accuracy of the results of learning performance recommendations using Confusion Matrix is 91.82%
Penentuan Pola Kecelakaan Lalu Lintas Menggunakan K-Modes Clustering Prastya, Septyan Eka; Nurhaeni, Nurhaeni; Zulfadhilah, Muhammad
Jurnal EDik Informatika Vol 8, No 1 (2021)
Publisher : STKIP PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/ei.2021.v8i1.5213

Abstract

Angka kecelakaan lalu lintas yang terjadi di Kalimantan Selatan terus meningkat. Berdasarkan hal tersebut, maka diperlukan adanya upaya untuk mengurangi jumlah kecelakaan. Untuk upaya mengurangi jumlah kecelakaan lalu lintas maka diperlukan pengetahuan untuk menemukan pola kecelakaan lalu lintas yang sering terjadi di Polresta Banjarmasin dengan melakukan pengelompokan (clustering). Pola kecelakaan dapat dikelompokan berdasarkan hari, waktu, korban, jenis kecelakaan, faktor pengemudi, faktor jalan, usia pelaku, usia korban, cuaca, profesi pelaku, profesi korban dan jenis kendaraan yang terlibat. Dalam hal ini, kelengkapan dan kebenaran data kepolisian menjadi faktor penting dalam keberhasilan pengelompokan pola kecelakaan lalu lintas. Penelitian ini bertujuan untuk mendapatkan pola kecelakaan lalu lintas yang sering terjadi menggunakan Algoritma K-Modes. Dan untuk mencari nilai K optimal, penelitian ini menggunakan algoritma Cohesion and Separation. Penerapan clustering dengan menggunakan Algoritma K-Modes akan menghasilkan pola kecelakaan lalu lintas berdasarkan K optimal.
IMPLEMENTASI PERBANDINGAN ALGORITMA SIMPLE HILL CLIMBING DAN ALGORITMA ASCENT HILL CLIMBING PADA PERMAINAN 8-PUZZLE widya, rika
Jurnal EDik Informatika Vol 8, No 1 (2021)
Publisher : STKIP PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/ei.2021.v8i1.5054

Abstract

Permainan puzzle merupakan sebuah permainan yang sering digunakan banyak orang, Algoritma Permainan  8 Puzzle harus jelas proses tahapan agar mencapai sebuah tujuan dalam sistem Pencarian. Logika Permainan 8 puzzle menggunakan Algoritma Simple Hill Climbing dan Algoritma Ascent Hill Climbing sering digunakan dalam ilmu kecerdasan buatan. Permasalahan yang terjadi pada penelitian, kurangnya pemahaman user untuk mencari algoritma yang cocok untuk menyusan permainan 8 Puzzle sesuai prinsip cara kerja sebuah algoritma. Permainan penyusunan 8 puzzle harus mengikuti aturan yang telah ditentukan agar memperoleh algoritma yang benar sehingga menghasilkan susunan yang sesuai dengan data awal.   Manfaat penelitian ini memberikan solusi untuk menyelesaikan perainan 8 puzzle sesuai dengan aturan algoritma imple Hill Climbing, Algoritma Ascent Hill Climbing Search Sehingga menghasilkan sebuah solusi dalam metode pencarian.  
Pengembangan Media Pembelajaran dan Game Interaktif Bagi Anak Berkebutuhan Khusus yusran, yusran; Revita, Elinda
Jurnal EDik Informatika Vol 8, No 1 (2021)
Publisher : STKIP PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/ei.2021.v8i1.5025

Abstract

Learning media is a communication intermediary between teachers and students that is tailored to the needs, meaning that the teaching and learning process in Special Schools (SLB) must be like what learning materials will provide. The use of media is very important for the success of learning for Children with Special Needs (ABK), for example in the SLB school located in the duo koto agung river, Dharmasraya district, where until now the teaching staff is still using the conventional way of teaching in front of the class for children who have disabilities. different special needs. Methods In designing this interactive media, researchers conducted an initial investigation into the object's school to determine the needs and adjustments of the media to be designed. After conducting interviews with the principal and educators and discussing between the chairperson and members, then at this stage the results of the problems determined are then analyzed again to obtain goals or results that are in accordance with the needs of interactive media for children with special needs in this learning activity. It is hoped that the results of the design of interactive media for children with special needs can help teachers deliver learning materials, and for children with special needs to be able to understand the material presented and increase the enthusiasm for learning for students who understand their shortcomings.
Metode K.Means Clustering dalam Persebaran Covid 19 di Sumatra Barat meri, rozi
Jurnal EDik Informatika Vol 8, No 1 (2021)
Publisher : STKIP PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/ei.2021.v8i1.4907

Abstract

Corona virus is a positive single strain RNA virus that infects the respiratory tract. Diagnosis starts from general symptoms in the form of fever, cough and difficulty breathing. One of the causes of the very high spread of the corona virus is due to physical contact with positive COVID patients. There are many impacts of the increasing corona virus in various countries, one of which is Indonesia. The high rapid spread of the corona virus has reached regional areas including the province of West Sumatra, therefore it is very necessary during this pandemic to keep your distance and stay away from crowds and comply with health protocols and stay away from areas that have a high spread of the corona virus. grouping or clusters of the spread of the corona virus in the West Sumatra region using the k-means clustering data mining method. The study was conducted using the variables confirmed, died, recovered and the number of positive . based on data that has been processed and produces information that can be expected to help the government to take decisions or actions to reduce the spread of the Corona virus in the West Sumatra region.
Klasifikasi Kategori Buku dengan menggunakan Metoda Naïve Bayes (Studi Kasus: Perpustakaan STKIP PGRI Sumatera Barat) Pernanda, Anggri Yulio; Samudra, Ami Anggraini
Jurnal Edik Informatika Penelitian Bidang Komputer Sains dan Pendidikan Informatika Vol 8, No 1 (2021)
Publisher : Universitas (STKIP) PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/ei.2021.v8i1.4773

Abstract

The number of documents in the form of books, scientific articles, reports etc. is always increasing every day, this certainly makes it difficult for groups or types of documents to classify. Using the Naïve Bayes classifier, which is an approach that refers to the Bayes theorem, is a simple classification algorithm but has high accuracy. Naïve Bayes refers to previous knowledge which is strengthened in advance by processing the title text of a new document so that it can be used to facilitate the classification of new document classes. Based on the results of trials conducted using 125 training data on 10 test data in 5 class groups, the accuracy value is quite high, namely 90% correct classification.

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