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Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : -     EISSN : 25801643     DOI : https://doi.org/10.35870/jtik
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), e-ISSN: 2580-1643 is a free and open-access journal published by the Research Division, KITA Institute, Indonesia. JTIK Journal provides media to publish scientific articles from scholars and experts around the world related to Hardware Products, Software Products, IT Security, Mobile, Storage, Networking, and Review An application service. All published article URLs will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 801 Documents
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Perancangan Sistem Pendukung Keputusan Penerimaan Beasiswa Menggunakan Metode Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW) dan Elimination Et Choix Traduisant la Realite (ELECTRE) Muhammad Rifqi Ali; Septi Andryana; Deny Hidayatullah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.217

Abstract

In the world of education, scholarships are financing or subsidies provided by the government, companies, universities, and other educational institutions. This study aims to design and build a decision support system to assist and facilitate the school in determining prospective recipients of scholarship assistance for poor and high achievers with the criteria determined by the scholarship organizer. With this, the researcher designed and built a decision support system using the Analytical Hierarchy Process (AHP) method which was then compared by the Imple Additive Weighting (SAW) and Elimination Et Choix Traduisant la Realite (ELECTRE) method. So that the results of the design of this system are able to assist in determining prospective scholarship recipients. The comparison of the 3 methods shows the results of the ranking of criteria that are slightly different, but basically, the 3 methods can be used properly to solve the problem of determining the scholarship recipient.
Perpaduan Metode Certainty Factor dan Forward Chaining untuk Menentukan Tingkat Stres Mahasiswa Tingkat Akhir Berbasis Android Nurholis Nurholis; Fauziah Fauziah; Novi Dian Natashia
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.218

Abstract

Students who are taking the final semester are students who are completing all their subjects, can take the final project provided they have met the number of credits set to obtain a bachelor's degree. In the process of making a final project, students are required to complete it within a predetermined time, this demand causes students to be depressed, causing stress that affects them in completing their final project and study period. Based on this problem, an Expert System Application was made to Diagnose Stress Levels in Final Year Students by Combining Certainty Factor Methods and Android-Based Forward Chaining Techniques to find out more clearly the level of stress experienced by final year students. The results of the diagnosis on the expert system application and the results of manual calculations on one of the data which is representative of the 200 student data, which produce the same level of confidence, each of which produces a confidence level of 97.97% and was diagnosed with mild stress.
Aplikasi Steganografi Menggunakan Least Significant Bit (LSB) dengan Enkripsi Caesar Chipper dan Rivest Code 4 (RC4) Menggunakan Bahasa Pemrograman JAVA Ade Davy Wiranata; Rima Tamara Aldisa
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.219

Abstract

The research objective is to hide messages through images using the LSB (Least Significant Bit) method and Caesar Chipper and Rivest Code 4 encryption. The LSB (Least Significant Bit) method is used as a message hiding technique in steganography where hiding hidden messages is done by changing a few bits in the segment. image with a secret message. The results of this study resulted in an implementation using the Least Significant Bit (LSB) to be applied to institutions with an interest in maintaining the confidentiality of encrypted image output, changing the image file size and sound (audio) file size.
Implementasi Metode Penalaran CBR dalam Mengidentifikasi Gejala Awal Penyakit Jantung menggunakan Algoritma Sorensen Coeffient Vicky Agnes Arundy; Iskandar Fitri; Eri Mardiani
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.220

Abstract

Heart disease is a condition when the heart is experiencing a disorder. The forms of disturbance that are experienced are usually various. Usually there is a disturbance in the blood vessels of the heart, heart rate, heart cover, or congenital problems. The heart itself is a muscle consisting of four chambers. That is, the first two rooms are located at the top, the atrium (foyer) to the left and right. Then the other two rooms are at the bottom, namely the right and left ventricles. To provide information on how to diagnose the type of disease and how to control heart disease, an application of an expert system that can represent someone who is an expert in their field is needed to provide solutions to this disease problem using the Case-Based Reasoning method with the Sorensen Coeffient approach. The result of this research is the creation of an expert system for diagnosing heart disease using the Case-Based Reasoning method with the Sorensen Coeffient approach which is able to provide solutions to heart disease.
Implementasi Sistem Pakar untuk Mendeteksi Virus Covid-19 dengan Perbandingan Metode Naïve Bayes dan Certainty Factor Rio Al Dzahabi Yunas; Agung Triayudi; Ira Diana Sholihati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 3 (2021): JULY-SEPTEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.221

Abstract

The Covid -19 virus spread in the world, especially in Indonesia, very fast. This epidemic is of concern around the world because it has a quite bad impact in various sectors. With existing technological advances, the Expert System can assist medical personnel in detecting the Covid -19 Virus. The purpose of the author in conducting the study was to detect the Covid-19 virus as easily as possible with symptom data obtained from patients who had consultations. The Naïve Bayes method is a method that uses probability and statistics that can predict a person's chance of being exposed to Covid-19 in the future based on symptoms experienced in the previous period packed with a web-based program. For comparison, the author uses the Certainty Factor Method. Certainty Factor is a method that aims to determine the certainty value which is based on the previous calculation of CF value by manual calculation. The Naïve Bayes method can group the symptoms obtained from the official WHO website which has been given an indicator of the percentage of someone exposed to the Covid-19 Virus based on the symptom data experienced to determine a person exposed to the Covid-19 Virus. While the Certainty Factor method gets the confidence of someone exposed to the symptoms of the Covid-19 virus by using the calculation indicator on the CF value that has been consulted by the user, which can provide a percentage level of confidence that is 86%.
Rancang Bangun Inventarisasi Barang menggunakan Algoritma Apriori Sebagai Data Mining Aditya Prasetya; Septi Andriana; Ratih Titi Komalasari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 4 (2021): OCTOBER-DECEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.223

Abstract

Inventory activities become an important thing for business progress, along with the times, inventory activities become easier due to the large number of facilities and infrastructure to support activities, including the Ap Jaya Store which also competes in the modern era, but currently, inventory activities in stores Ap Jaya still uses the manual method, namely by recording inventory activities using a book then recapitulating one by one so that it takes a lot of time, along with these problems an inventory application is needed that can be used to support these activities, this inventory application is made using the a priori algorithm method as data mining and using the programming language PHP and MySQL as a database besides that the a priori algorithm can also be used for item recommendation systems, on testing with 20 transaction data with a minimum support value = 20% and a minimum confidence = 70% also from the results of the transaction. Tests carried out using the apriori algorithm and using applications that are made get the same results according to the requirements for support and confidence values.
Implementasi Metode Forward chaining dan Certainty factor dalam Mendiagnosa Autisme Anak Berbasis Web Tasha Fitria Kusumanagara; Fauziah Fauziah; Deny Hidayatullah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 4 (2021): OCTOBER-DECEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.224

Abstract

Lack of parental or community knowledge of the symptoms of autism in their children results in neglected early detection. This of course can be too late in the treatment of autism in the future. Therefore, this study aims to design a web-based expert system for diagnosing children's autism. The development model used to design an autism expert system in children is a waterfall and implements the forward chaining method and the certainty factor method. While the data collection methods consisted of interview methods and literature study methods. From the results of the calculation test, it is concluded that the results of manual calculations and the web-based application of an expert system for autism diagnosis in children are the same as the results of the 98% confidence level. With this web-based autism expert system in children, it is hoped that it can help parents or the community to detect autism in their children early on.
Pengaruh Iklan Jd.Id di Youtube Terhadap Minat Untuk Menggunakan Aplikasi Wangi Pradana Pandu Briyan Afgani; Muhammad Ramdhani; Flori Mardiani Lubis
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 4 (2021): OCTOBER-DECEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.225

Abstract

The purpose of this study was to determine the effect of using Youtube Ads on interest in using the Jd.id application where the variables used include intensity, message content, and attractiveness. The method used is quantitative with a multiple linear regression approach. The target population is employees of the H.R Operations Department of Perum Peruri Karawang with a total of 63 people. The results showed that the variable intensity, message content, and attractiveness of Youtube ads simultaneously had a significant effect on the interest in using the Jd.id application with a total influence of 67.1%. After testing the coefficient of partial determination, the effect of the intensity is 14.1%, the message content is 6.6% and the attractiveness is 36.4%.
Implementasi Electronic Customer Relationship Management menggunakan Metode Framework of Dynamic berbasis Web Erwin Wicaksono; Fauziah Fauziah; Deny Hidayatullah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 4 (2021): OCTOBER-DECEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.226

Abstract

The purpose of this study is to build soft devices for electronic customer relationship management (e-CRM) with the Framework of Dynamic method which will facilitate customer relationship management that can help relationships between stores and customers so that customers can enjoy and feel comfortable with the store services that can eventually be formed. In implementing this software, the author uses the system development lifecycle (SDLC) method then produces a web-based e-CRM prototype with PHP programming languages and MySQL DBMS. This e-CRM prototype has been tested in terms of verification, validation, and prototype testing. To design this system Use Cases, ERD, LRS, Class Diagrams, and Sequence Diagrams are used. From the test results, it can be seen that the e-CRM prototype has been successful and is in accordance with the planning objectives. The result of this Marketplace Design is as a forum to make it easier for shop owners in the field of Building Materials and the like to market the products they have here.
Visualisasi dan Analisa Data Penyebaran Covid-19 dengan Metode Klasifikasi Naïve Bayes Muhammad Ikbal; Septi Andryana; Ratih Titi Komala Sari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5 No 4 (2021): OCTOBER-DECEMBER 2021
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i4.233

Abstract

The covid-19 virus became a pandemic in 2020. The spread of covid cases has hit the whole world, reaching 63 million cases in 190 countries as of November 2020. Information regarding the spread of covid is necessary for the general public. This research will produce a system that can provide information on the geographic distribution of covid cases. The data on the distribution of covid cases in this study were also used to analyze the classification using the Naive Bayes Classifier method. The Naive Bayes Classifier method works by using probability calculations so that this research can be used to classify the covid status in an area. The results of this study have succeeded in providing information on the status of the covid pandemic based on data on covid cases that have occurred around the world. Covid case data becomes training data for the analysis of the Naive Bayes classifier method so that it can determine the status of the Covid pandemic based on test data provided by system users. This research has succeeded in helping users to know the status of the Covid pandemic in an area well because it has reliable training data.

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