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Jurnal CoreIT

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Published by Universitas Islam Negeri Sultan Syarif Kasim Riau

ISSN : 2460738X EISSN : 25993321 DOI : -

Core Subject : Science,

Computer Science & IT

Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi published by Informatics Engineering Department – Universitas Islam Negeri Sultan Syarif Kasim Riau with Registration Number: Print ISSN 2460-738X | Online ISSN 2599-3321. This journal is published 2 (two) times a year (June and December) containing the results of research on Computer Science and Information Technology.

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Articles 7 Documents

Search results for , issue "Vol 7, No 2 (2021): Desember 2021" : 7 Documents clear

Sistem Pencarian Similaritas Judul Tugas Akhir Menggunakan Metode TF-IDF Amrulloh, Arif; Adam, Ipam Fuaddina
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 7, No 2 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

The final project is a compulsory subject that must be completed by students to get a degree according to the level of higher education taken. Often students or final project supervisors find it difficult to find out whether the title of the proposed final project has been researched before or not. To avoid the title of the final project being the same as the research that has been done previously, a solution is needed, a system for finding the similarity of the title of the final project can be used as a solution to this problem. Many methods can be used for the problem of finding similarity or similarity of data. One method that is often used is TF-IDF which works by calculating the weights. In this research, a system for finding the similarity of the title of the final project will be built by applying the TF-IDF method. The results of the TF-IDF trial with a final project title of 384 data found that the final project title had similarities based on keywords as many as 99 data. The use of the TF-IDF method can be used as a solution for lecturers and students in determining the title of the final project.

Aplikasi Kurikulum 2013 berbasis Web dan Android Pizaini, Pizaini; Affandes, Muhammad; Khonofi, Khoidir; Syarifuddin, Syarifuddin; Saputra, Kana
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 7, No 2 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

To facilitate the assessment and application of Curriculum 2013 (K13) for schools, students and teachers need an application system that can be accessed via the web and mobile. This study builds applications with K13 standards in education units. This application can be accessed through web and mobile applications with centralized data based on the Application Programming Interface (API). This application was built with the interaction between teachers, students, parents with the method of system design, implementation and testing. The application is equipped with Telegram API-based notifications to inform parents and students of grades. This application runs well on web and mobile-based with a response of 84.7% of users stating that they strongly agree with the application's features.

Penerapan Pewarnaan Simpul Graf dengan Algoritma Welch Powell dan Algoritma Depth First Search pada Distribusi Giliran Main Angklung Pribadi, Fithratulhay; Munir, Rinaldi
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 7, No 2 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Abstrak. Angklung adalah alat musik yang setiap alat musiknya hanya bisa memainkan satu nada saja. Untuk memainkan sebuah lagu dengan angklung, membutuhkan sebuah tim yang masing-masing pemainnya memegang satu atau lebih angklung. Pengaturan giliran memainkan dalam sebuah lagu agar pemain mengetahui ketukan dan nada apa yang harus dimainkannya, dapat disebut pembagian giliran angklung. Pada saat ini, masih sering terjadi gap jumlah turn antar pemain. Untuk mengatasi masalah tersebut, telah dibuat sebuah aplikasi untuk melakukan proses pembagian giliran angklung yang memanfaatkan pewarnaan graf dengan algoritma Welch Powell untuk membagi giliran menjadi kelompok-kelompok dimana tidak ada giliran lain yang dimainkan secara bersamaan (clashing) dan dilanjutkan dengan Algoritma Depth First Search yang akan mengoptimalkan jumlah ketukan di setiap grup. Aplikasi tersebut mampu membuat proses distribusi menjadi lebih efisien dan cukup memuaskan. Namun perbaikan masih diperlukan karena ada beberapa aspek yang belum dijadikan parameter dalam aplikasi.Kata kunci: Angklung, Depth First Search, Pewarnaan Graf. Abstract. Angklung is a musical instrument in which each instrument can only play one note. To play a song with angklung requires a team in which each player holds one or more angklung. Setting the turn to play in a song so that the player knows on what beat and what note he should play can be called the distribution of angklung's turn. At this time, there is still often a gap in the number of turns between players. To overcome this problem, an application has been created to perform the angklung turn distribution process that utilizes graph coloring with the Welch Powell algorithm to divide the turn into groups where there are no other turns to play at the same time (clashing) and continued with Depth First Search algorithm that will optimize the number of beats in each group. The application is able to make the distribution process more efficient and quite satisfying. However, improvements are still needed because there are several aspects that have not been used as parameters in the application.Keywords: Angklung, Depth First Search, Graph Coloring.

Implementasi Algoritma FP-Growth untuk Menemukan Pola Keterkaitan Antara Matakuliah Pemrograman dan Matakuliah Matematika Putri. P, Zurneli Kurnia; Iskandar, Iwan; Nazir, Alwis
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 7, No 2 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

The specification of programming skills is one of the focuses of learning in the Informatics Engineering study program which requires students to understand and get good grades in all courses related to programming. The subject that is considered to have a relationship with the programming field is the Mathematics course. Efforts to determine the correlation between programming courses and mathematics courses through one of the association algorithms in data mining, namely the FP-Growth algorithm. FP-Growth was chosen because it has a faster data pattern execution rate than the a priori algorithm. The final stage of KDD produces 1227 data which is then processed using the FPGrowth algorithm. Tests with a minimum support value of 0.5 and minimum confidence of 0.7 show the same number of patterns between applications built with the SPMF application of 52250 patterns. The highest support value of 51% and the highest confidence value of 98% and the highest lift ratio value of 1.1941 in the combination of itemset patterns indicate that if students pass programming courses, then mathematics courses can also pass or vice versa.

Pemanfaatan Metode Klasifikasi Naïve Bayes Untuk Pendeteksi Berita Hoax Pada Artikel Berbahasa Indonesia Soleman Soleman
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 7, No 2 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Berita hoax sudah sangat banyak tersebar di internet. Kemudahan dalam membuat dan membagikan merupakan salah satu faktornya. Berita hoax menjadi ancaman dan konsentrasi banyak pihak, muncul masalah dalam mengidentifikasi atau mengklasifikasikannya karena tidak ada pola yang dapat diidentifikasikan, serta gaya penulisan bersifat bebas dan tidak kaku. Kurang akuratnya sistem deteksi hoax yang ada diakibatkan belum ditemukannya metode dan atribut yang digunakan untuk klasifikasi berita hoax dengan akurasi yang tinggi. Atas dasar itulah penelitian ini dilakukan, seperti pada kebanyakan klasifikasi berita hoax yang dijadikan acuan pada penelitian ini, dilakukan praproses (case folding, tokenisasi, stemming dan stopword removal), ekstrasi fitur dan penambahan atribut selain dari praproses artikel seperti website tempat artikel di publikasi dan status website tersebut. Hasil dari penelitian ini didapatkan akurasi sebesar 72% yang ternyata terjadi penurunan 6.6% dibandingkan dengan penelitian sebelumnya yang sebesar 78.6% dikarenakan satu website yang hanya mempublikasi satu artikel hoax dan dibiarkan domain website tersebut expired, dengan begitu terjadi pengurangan terhadap bobot nilai klasifikasi.Kata Kunci : Artikel Hoax, klasifikasi, Naïve Bayes, Union.

Analisis Perbandingan Algoritma Naive Bayes Classifier dan Learning Vector Quantization dalam Sistem Identifikasi Boraks pada Bakso Daging Sapi Fauzan, Abd. Charis; Purwanto, Sofi Dwi
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 7, No 2 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Meatballs are processed meat products that are prone to be mixed with harmful substances as processed ingredients. This study aims to analyze the performance of the Naive Bayes Classifier method and the Learning Vector Quantization neural network as an object of comparison in order to find the best approach to detecting the borax content in beef noodles. The data used in the study consisted of 2 populations, namely data from processed meatballs independently with different levels of borax and data from surveys in the field. Based on the results of data testing using the instrument, the best accuracy level is the Naive Bayes Classifier approach, which is 93.33% for the population of meatballs containing borax. While the test for data without using the best performance tool also obtained the Naive Bayes Classifier approach with an accuracy of 79.34%.

Membandingkan Tingkat Efisiensi Metode Tsukamoto dan Sugeno untuk kasus Pneumonia Wahyuni, Elyza Gustri
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 7, No 2 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

There are three methods that can be used to implement the Fuzzy Inference System (FIS), namely Tsukamoto, Mandani and Sugeno. Each of the three methods has its own characteristics and advantages. Several third studies used this method to compare the efficiency level of different cases. This study also aims to see the most efficient method by comparing the two FIS methods, namely Tsukamoto and Sugeno, based on medical cases from previous studies that have tested the validity of the results from pulmonary specialists. The data used are the same data as previous studies, namely regarding the diagnosis of pneumonia. The analytical method used is Mean Absolute Percantage Error (MAPE) to get the accuracy value of how close a measurement result is to the actual number. Based on the cases tested, the key from the Sugeno method resulted in a smaller MAPE than Tsukamoto, namely 3.15%, which means that the Sugeno method results closer to the pneumonia score/actual value.

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Suwanto Sanjaya

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Suwanto Sanjaya

Contact Email suwantosanjaya@uin-suska.ac.id

Phone -

Journal Mail Official coreit@uin-suska.ac.id

Editorial Address -

Location Kab. kampar, Riau INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Suwanto Sanjaya

Contact Email
suwantosanjaya@uin-suska.ac.id

Phone
-

Journal Mail Official
coreit@uin-suska.ac.id

Editorial Address
-

Location
Kab. kampar,

Riau

INDONESIA