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Jalan sisingamangaraja No 338 Medan, Indonesia
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INDONESIA
KLIK: Kajian Ilmiah Informatika dan Komputer
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : -     EISSN : 27233898     DOI : -
Core Subject : Science,
Computer Science & IT
Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 5 (2022): April 2022" : 5 Documents clear
Perancangan Aplikasi Terjemahan Ayat Suci Al-Qur’an Menggunakan Algoritma Winnowing Yuda Yuda
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 5 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v2i5.361

Abstract

Al-Qur’an is the holy book of Muslims which has different parts of the translation between different verses. This makes it more difficult for ordinary people who do not understand Arabic to know the content and meaning of the holy Qur'an. Technological developments can assist in facilitating the search for information, especially the translation of the holy verses of the Qur'an. The string matching technique is one way to facilitate searching and the winnowing algorithm is included in one of the string matching algorithms. The winnowing algorithm is one of the algorithms with the fingerprinting document method. The fingerprinting document will generate a hash value which is called a fingerprint. This fingerprinting will be the basis for comparing the selected documents. In finding the value of the winnowing algorithm translation application using the jaccard similarity calculation. Search conducted using the winnowing algorithm to search based on the name of the surah found in the holy Qur'an. And the output is in the form of a verse found in the letter along with its translation. Search using the winnowing algorithm has a 100% similarity level between text and pattern searches
Implementasi Text Mining Terhadap Analisis Sentimen Masyarakat Dunia Di Twitter Terhadap Kota Medan Menggunakan K-Fold Cross Validation Dan Naïve Bayes Classifier Tengku Ridwansyah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 5 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v2i5.362

Abstract

The city of Medan is one of the largest cities in Indonesia which has tourist charm, culinary and also supporting facilities and infrastructure that are quite adequate in the city, and of course will be ogled by foreign or foreign tourism. So it is necessary to do research in order to find out how the public sentiment towards tourism in the city of Medan, whether the majority of the world community considers it positive or negative. The response of the world community regarding Medan tourism is obtained from the Application Programming Interface (API) on Twitter because social media has a lot of users in the world. Indonesia has even reached 19.5 million users out of a total of 300 million users worldwide. In this study, one part of the Text Mining algorithm is text preprocessing, the text preprocessing used is case folding, tokenizing, stopwords, and stemming. For the preprocessing stemming, the snowball stemmer algorithm is used, while the analysis of the text data classification uses the Naïve Bayes Classifier algorithm and to partition the data the K-Fold Cross Validation method will be used. The data used in this study is a collection of tweets about tourism in the city of Medan on December 1, 2019 until December 8, 2019. Data is obtained from the Twitter API (Application Programming Interface) as many as 2000 tweets. Extracting data from Twitter via Twitter API (Application Programming Interface) using RStudio as a console for the data retrieval process
Seleksi Pemakalah Terbaik Dalam Acara Seminar Nasional Pada Universitas Budi Darma Medan Dengan Sistem Pendukung Keputusan Menerapkan Metode Aras Dan Borda Diana Sari
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 5 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v2i5.363

Abstract

The problem in selecting the best presenter is that the SENSASI seminar organizing committee at the Budi Darma University campus has difficulty in making decisions to determine the best presenter where the assessment process is objective based on several different criteria and different weighting of the assessment, causing errors in the final decision making in this matter. Therefore, in order to solve the problems experienced by the organizing committee of the national seminar which was held at the Budi Darma University campus, Medan. Therefore, a decision support system is needed to select the best presenter. In selecting a method, using the ARAS & BORDA method, this system will get the results of ranking decisions made based on each alternative choice according to the many criteria set. The alternative with the greatest weight is the recommended alternative. To implement a decision support system, a decision support system application is designed. The design is made using the Visual Basic 2008 application, this application is designed simply to make it easier for users, with the application of this decision support system it is hoped that it can facilitate the national seminar organizing committee in selecting the best pemakalahl so that the selection of the best presenter gets the results as expected.
Sistem Pakar Diagnosa Penyakit Autoimun Menggunakan Metode Classical Probability Muhammad Yunus Lubis
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 5 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v2i5.364

Abstract

The expert system for diagnosing autoimmune diseases is a computer-based system that is used as a tool to diagnose autoimmune diseases based on a dynamic knowledge base. Autoimmune disease is a disease that attacks the human immune system which is generally common in women. Autoimmune is a disorder of the immune system due to the failure of the defense of the body's stability. This autoimmune disease causes harm to human organs because it can damage the organs of cells that are still healthy in a person's body. In this case the role of the computer is needed to provide information quickly, precisely, and accurately. One of them is the development of an expert system (Expert System) which is a new breakthrough in the computer world. Expert System is a computer application that provides services for consulting and obtaining solutions to a problem, which works like an expert. This study uses the Classical Probability method which is one method to prove whether a fact is certain or uncertain in the form of a metric that is usually used in expert systems, this study aims to build an application using the Classical Probability method by using the Dreamweaver application as a tool to diagnose autoimmune disease. By making this expert system, it is hoped that it will be useful for many people and can know clearly about Autoimmune disease from its symptoms and solutions, which are displayed in the form of a website using PHP programming with a MySQL database
Penyisipan Pesan Pada File Dokumen Berekstensi Xls/Xlsx Menggunakan Metode Chinese Remainder Cici Ulandari
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 5 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v2i5.365

Abstract

Information which is the result of processing from data has a different value for each person. Often information becomes very valuable and not everyone is allowed to know it, but there are always parties who try to find out information in ways that are not supposed to even intend to destroy it. There are several methods in steganography, one of which is a method to hide secret messages (text or images) in other files that contain text, images, and even audio without showing any real or visible changes in the quality and structure of the original file. . These methods include invisible ink, microdots, word management, digital signatures, hidden paths and wide spectrum communications. Chineses Reminder Theorem (CRT) is a concept based on a congruent relationship. However, unlike congruence in general, this concept is based on a simultaneous congruence relationship. Simultaneous congruence refers to several congruent relations that have a relationship with each other, and this relationship is related to the value of the same variable but with different modulo. This theory is an ancient theory that is often used in cryptography applications.

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