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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 722 Documents
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Cyber Library: Pengembangan Perpustakaan Online Berbasis Web Menggunakan Metode Prototyping (Studi Kasus Universitas Nasional) Suhaimah, Atikah; Triayudi, Agung; Esthi Handayani, Endah Tri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 1 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i1.199

Abstract

Libraries as a service to visitors who are looking for efficient learning methods through reading every book in the library. The services provided by the officer can help us as visitors not find it difficult when looking for an article that wants to know. Services that still use manual services are destructive in time efficiency. So it is difficult to find the book that we want because the officers will find the book data one by one, causing problems in time efficiency. Difficulty looking for collections and inaccurate data that has been found in damaged archives in the library service system. Libraries as part of the application in further library development, namely online-based libraries. The purpose of this research is pinned because of the rapid growth of technology in this digital era, which is now online in almost all sectors. The method that researchers will use is SDLC in the form of a waterfall model. And also designing information system prototypes at the National University library. As for those used to design this system, namely UML, Class Diagram, Use Case The results of the research and application of this website-based library makes it easier for librarians and library visitors.Keywords:Cyber Library, Web, Library, Prototype, SDLC.
Aplikasi Steganografi Menggunakan Least Significant Bit (LSB) dengan Enkripsi Caesar Chipper dan Rivest Code 4 (RC4) Menggunakan Bahasa Pemrograman JAVA Wiranata, Ade Davy; Aldisa, Rima Tamara
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 3 (2021): JTIK
Publisher : KITA Institut

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.Keywords:Steganography, Least Significant Bit (LSB), Caesar Chiper and RC4.
Augmented Reality sebagai Media Edukasi Sejarah Bangunan Peninggalan Kesultanan Utsmaniyah menggunakan Metode Marker Based Tracking dan Algoritma Fast Corner Detection Fayiz, Muhammad; Hilmy, Naufal; Darusalam, Ucuk; Rubhasy, Albaar
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 4, No 2 (2020): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v4i2.162

Abstract

At this time, information and communication technology is growing rapidly. One example of technological developments is Augmented Reality (AR). Augmented Reality in theory is to present virtual effects in the real world. This AR technology has been applied in several fields. One of them is in the field of education. In this study, an AR application was made as an educational medium for the history of the heritage buildings of the Ottoman Empire, especially for Madrasah students in the subject of Islamic Cultural History (SKI). This research will discuss the history of heritage buildings of the Ottoman Empire such as; Hagia Sophia Monument, Yeni Valide Mosque, and Blue Mosque. The Ottoman Empire was one of the world's Islamic empires that played a major role in the spread of Islamic teachings. This AR application uses the Marker Based Tracking method and the Fast Corner Detection algorithm. The tools used are Android Studio, Unity 3D, Sketchup, Figma, and Vuforia. The results of this study resulted in the application having succeeded in displaying a 3D Object from the Ottoman Sultanate heritage building, along with a description next to the 3D Object. In addition, this Monument AR application also works well on the Android operating system.Keywords:Augmented Reality, Marker Based Tracking, Fast Corner Detection, 3D Object, Android.
Model Identifikasi Pemalsuan Ijazah menggunakan Gabor Wavelet dan Gaussian Mixture Models Super Vektor (GMM-SV) Alfina, Alfina; Nasir, Dzulgunar Muhammad
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 4, No 2 (2020): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v4i2.142

Abstract

Various cases occur related to certificate falsification and some people and educational institutions have to deal with the law, this problem is not impossible to abuse along with advances and technological innovation with various tools that can be used by anyone. Identifying the diploma document must be of particular concern to tertiary institutions to minimize the associated fake diplomas and the diploma legalization process. In legalizing the diploma for STMIK Indonesia Banda Aceh students, checking the authenticity of the certificate is only by bringing the original certificate and photocopy of the certificate or by contacting the academic party who issued the certificate, this process is sometimes missed by officers when the queue is crowded. The specific objectives of the research include implementing a model and feature method of Gabor Wavelet and Gaussian Mixture Models Super Vector (GMM-SV) for document identification to speed up diploma identification. The flow of this research starts from the input in the form of a basic image as an image that a reference for the authenticity of the diploma. Then the test image input is an image that will be tested for authenticity. The results showed that using the Gabor Wavelet feature and the Gaussian Mixture Models Super Vector (GMM-SV) could identify fake diplomas with an accuracy rate of 92.8%.Keywords:Model, Identification, Certificate Falsification, Gabor Wavelet, Gaussian Mixture Models Super Vector (GMM-SV).
Implementasi Algoritma Dijkstra pada Aplikasi Go-Tahu dengan Pencarian Rute Terpendek ke Pabrik Tahu Sari, Putriana Mayang; Fauziah, Fauziah; Gunaryati, Aris
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 2 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i2.210

Abstract

Currently, the food business sector is increasing, one of which is tofu producers in South Tangerang. Many people who want to buy tofu of good quality but do not know the closest distance to the factory is located. In this research, we will use Dijkstra's Algorithm which is applied to the Android software to determine the shortest distance from one point to the tofu factory which is the chosen destination. Using the Dijkstra algorithm, an application will be designed, namely a mobile-based Go-Tofu for finding the closest route to the tofu factory. The route search process is carried out with a graph that has a weight and an area that is connected to a predetermined route. In the application test, it produces the shortest route from a house to the tofu factory with the smallest total weight of 11 kilometers based on the test results in the study.Keywords:Dijkstra’s Algorithm, Android, Flutter, Shortest Line, Tofu Factory.
Visualisasi dan Analisa Data Penyebaran Covid-19 dengan Metode Klasifikasi Naïve Bayes Ikbal, Muhammad; Andryana, Septi; Komala Sari, Ratih Titi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 4 (2021): JTIK
Publisher : KITA Institut

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.Keywords:System, Covid, Naïve Bayes Classifier.
Penerapan Metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dalam Pemilihan Perangkat Pribadi Khansa, Amalia; Fauziah, Fauziah; Gunaryati, Aris
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 2 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i2.179

Abstract

Seiring dengan pesatnnya perkembangan teknologi, banyak tipe laptop dan smartphone yang bermunculan. Banyaknya tipe yang beredar di pasaran dapat membuat konsumen kebingungan dalam memilih produk. Untuk mengatasi permasalahan tersebut maka salah satu solusinya adalah membuat sistem pendukung keputusan. Sistem pendukung keputusan untuk memilih perangkat pribadi ini menggunakan metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Konsep dasar metode tersebut yaitu dengan mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif semua atribut. Diharapkan sistem ini dapat memberikan kemudahan bagi para konsumen yang masih bingung dalam memilih produk laptop dan smartphone yang ingin dibeli. Pada hasil perhitungan manual dan sistem, metode SAW dan TOPSIS menghasilkan ranking yang sama. Pada metode SAW ranking tertinggi laptop didapatkan oleh Acer Swift 3(SF314-56G) dengan nilai 0,977 dan pada smartphone nilai tertinggi diperoleh Samsung Galaxy M51 dengan nilai 1. Pada metode TOPSIS ranking tertinggi laptop diperoleh dengan nilai 0,9507 dan smartphone dengan nilai 1.Kata Kunci:Laptop; SAW; Sistem Pendukung Keputusan; Smartphone; TOPSIS.
Penentuan Wilayah Terdampak Covid-19 dengan Menggunakan Metode Analytical Hierarchy Process, Simple Additive Weighting dan Weighted Product Supriyadi, Mohamad Didit; Andryana, Septi; Gunaryati, Aris
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 3 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i3.191

Abstract

Corona virus (Covid-19) is a new virus that has spread to many countries in the world, including Indonesia in 2020. This virus has spread to all provinces in Indonesia. The 3 provinces with the highest number of cases are DKI Jakarta, East Java and Java West. Currently, the ranking of areas affected by Covid-19 is only done based on the confirmed number of each province. Therefore, this study aims to rank the affected areas of Covid-19 using the Analytical Hierarchy Process, Simple Additive Weighting and Weighted Product methods. The combination is done based on the advantages of each method. The AHP method is used to analyze the criteria to produce criteria with good consistency, then the ranking process of each alternative is carried out using the SAW and WP methods. This research is expected to provide recommendations for the affected areas to make various efforts to reduce the confirmed figures.Keywords:Analytical Hierarchy Process; Decision Support System; Simple Additive Weighting; Weighted Product.
Aplikasi Perbandingan Pemilihan Guru Private Homeschooling menggunakan Algoritma Simple Additive Weighting (SAW) dan Weight Product Berbasis Web Setiawan, Raka Adji; Fauziah, Fauziah; Komala Sari, Ratih Titi
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 1 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i1.195

Abstract

This study aims to compare the selection of private homeschool teachers using the Simple Additive Weighting (SAW) and Weight Product (WP) algorithms, the criteria that have been taken by the author to calculate their weight in selecting private teachers who excel and provide convenience with an assessment based on criteria. In this effort, the authors can build a private teacher selection system with the Simple Additive Weighting (SAW) algorithm to find the total weights of the teacher performance rating for each alternative on all attributes and compare it to the Weight Product (WP) algorithm using the multiplication technique to link the attribute rating. where the attribute type rating must be ranked first with the associated weight attribute. From the results of this study, the authors have described how the design and application of SAW and WP in making a Decision Support System in selecting private homeschooling teachers.Keywords:Simple Additive Weighting (SAW), Weight Product (WP), Decision Support Systems, Teacher Selection, Homeschooling.
Pengembangan Repository berbasis Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) pada Standar Metadata Encoding and Transmission Standard (METS) dan MPEG-21 Digital Item Declaration Language (DIDL) Iqbal, Taufiq; Syarifuddin, Syarifuddin
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 5, No 1 (2021): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v5i1.161

Abstract

The purpose of this research is to build a repository model and feature the Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) and the Metadata Encoding and Transmission Standard (METS) and MPEG-21 Digital Item Declaration Language (DIDL). The research model used is qualitative research and methods. Application development used is Fourth Generation Techniques (4GT). From the results of the development of the repository by involving the Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) module on the Metadata Encoding and Transmission Standard (METS) and MPEG-21 Digital Item Declaration Language (DIDL), it has been applied to the repository application that was built. The test results using the OAI-PMH URL using the OVAL validator tool found that there were no problems and problems in validating and verifying data in the Identify, ListMetadataFormats, ListSets, ListIdentifiers, ListRecords, and XML Validation commands. While the test results show the success rate in crawling each metadata in the web repository, the average success rate of crawling metadata by Google Scholar is 90%, while the error is known to be 10% because some documents do not have complete metadata such as bibliography and uploaded documents.

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