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Contact Name
Taufiq Iqbal
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taufiq.iqbal@lembagakita.org
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+6285277777449
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jtik@lembagakita.org
Editorial Address
Teuku Nyak Arief Street Number: 7b Lamnyong, Banda Aceh City, Aceh Province
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INDONESIA
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
ISSN : -     EISSN : 25801643     DOI : https://doi.org/10.35870/jtik
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).
Articles 801 Documents
Analisis Clustering Dokumen Tugas Akhir Mahasiswa Sistem Informasi Universitas Nasional menggunakan Metode K-Means Clustering Frankly Sept Genius Zendrato; Agung Triayudi; Endah Tri E
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.389

Abstract

The purpose of this study was to determine the results of the analysis of the final project document for students majoring in information systems, National University. The research data is grouped based on the theme, object and research method. In this study, the K-Means Clustering method will be used which in the data includes the type of final project, year of publication and reasons for selecting the data. The data collection technique was chosen from the thesis document. The subjects in this study were part of the document that was processed in the abstract. Based on the results of the Clustering process above using the K-means algorithm method and the rapidminer application, it is concluded; 1) In the three clusters, it shows that the final project data 1 has 3 data, the final project 2 has 5 data, the final project 3 has 3 data and the final project 4 has 5 data., 2) In the three clusters the data is the most years old. group 3, namely in cluster 2 there are 3 data, cluster 3 there is 1 data, 3) In the three clusters, it shows that the data for the selection of 3 at least in cluster 2 there is 1 data.
Analisis Faktor yang mempengaruhi Pembelian Makanan secara Online pada Masa Pandemi Covid-19 menggunakan Metode K-Means Clustering (Studi Kasus: Online Shop Bellyboys.id) Dicke Rifki Fajrin; Agung Triayudi; Sari Ningsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.390

Abstract

The presence of the Covid-19 pandemic outbreak makes consumer behavior in shopping began to change. Especially when the enactment of large-scale social restrictions (PSBB) regulations. Providing food service in this place cannot be expected to return. So, the divisions will not think of out of the house just eating in restaurants or eating places. One marketing strategy in the current era offers a message of delivery, this strategy can help remain to comply with regulations that apply during the Pandemic Covid-19. This study aims to obtain the results of the analysis that influences the level of public interest in the purchase of online-based foods, namely by (Food Delivery). This study uses the K-means method and uses the name, age, income, number of orders, order intensity, and satisfaction. This study uses several data collection techniques questionnaire. The subjects of this study are buyers who are members of the Food Delivery Instagram (Bellyboys.id) forum.
Analisis Faktor Calon Nasabah PT. Bank Central Asia dalam Pembuatan Rekening Online menggunakan Metode K-Means Clustering Studi Kasus Wisma Asia BCA Muhammad Rizki Wardhana; Agung Triayudi; Nur Hayati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.391

Abstract

The purpose of this study is to obtain the results of the analysis of factors that make prospective customers who want to open an account at a branch switch to opening an online account. This study uses the K-Means method and uses the age factor, the time period in opening an account as a parameter. The data collection technique is in the form of data collection by questionnaire. The subject of this research is marketing who are members of PT Dika in collaboration with PT Bank Central Asia. Based on the research conducted by the author using the K-Means Clustering method and the rapidminer application, the researchers drew the following conclusions; 1) Of the three clusters, the age factor that has the most value is at age 21 in cluster 3 as many as 3 people. As for the age of 22 to 26 in the three clusters, the three clusters are not much different, 2) Of the three clusters, the most income factors are in group 3 as many as 4 people in cluster 2, namely earning around 1.500.000 – 3,000,000, 3) Of the three cluster, the distance factor from home to the nearest BCA Bank is at most at distance 1 as many as 3 people in cluster 3 and at distance 3 as many as 3 people in cluster 2, 4) Of the three clusters, the processing time factor is mostly in group 1 as much as 3 people in cluster 1, group 2 as many as 3 people in cluster 3 and group 3 as many as 3 people in cluster 3, and 5) From the three clusters, the factor of moving from opening an account at a branch to opening an online account (pemol) is because it's faster, in cluster 1 as many as 3 people, in cluster 2 as many as 2 people and in cluster 3 as many as 3 people.
Implementasi Customer Relationship Management (CRM) pada Sistem Informasi Pemasaran dengan Menggunakan Framework React.JS Berbasis Website Fauzan Muhammad; Iskandar Fitri; Rini Nuraini
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.392

Abstract

Life in the current era of technology is almost every line connected to the internet, as well as when doing business. Website is a container used for business development and improvement. One form of this is to create an attractive website display as a strategy to increase product quality and quantity. This research aims to; 1) The creation of a marketing information system facility with the application of CRM using the web-based React.JS framework as the main purpose of the research, and 2) Understanding and describing the benefits of implementing a Marketing Information System with CRM Applications using the web-based React.JS framework as a marketing strategy to improve quality and product quantity. To implement this research, the researcher uses the Agile method. A website-based marketing system with the implementation of Customer Relationship Management (CRM) at Reswara Digital printing produces structured and detailed data storage and the delivery of product information to consumers can be carried out optimally.
Implementasi Metode Agile pada Sistem Manajemen Zakat Berbasis Website dengan Framework Laravel Muhammad Aulia Hakam; Agung Triayudi; Nur Hayati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.393

Abstract

The implementation of paying zakat is obligatory for every Muslim. Generally, there are problems that are lacking in the recording of zakat management. Currently, many still use the manual method which is of course very risky for loss and damage to the recording of zakat. Therefore, the purpose of this study is to design a website that facilitates the payment and recording of zakat. With this research, it is expected to ease the mosque management to manage zakat to be more efficient. In this study applying the Agile SDLC model, this study has four stages, namely, timebox planning, iteration, demonstration, and retrospective meeting. Based on the research that has been done, namely the Implementation of Agile Methods on a Website-Based Zakat Management System with the Laravel Framework at the Al-Ijabah Mosque Amil Zakat Agency, the researcher concludes that the system built has met the administrative needs to input data such as Muzakki data (zakat givers). , Mustahiq data (zakat recipients), daily transaction reports. With the construction of this system, zakat transaction data can be stored in the database. So that zakat transaction data is not easily lost/damaged.
Analisis Pengaruh Faktor Penggunaan Baju Baru (Fast fashion) ke Pengguna Baju Bekas (Thrifting) Menggunakan Metode K-Means Clustering (Studi Kasus: Toko Thriftboys.id) Raffi Dima Sampurno; Agung Triayudi; Ratih Titi Komala Sari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.394

Abstract

The emergence of a habit in Indonesia and even the world, namely the use of used clothes (thrifting) became the idea for this research. This new habit is known to be able to reduce the production of textile waste in the world. The purpose of this study was to obtain analysis results that affect the use of new clothes (fast fashion) on the use of used clothes (thrifting). Using the K-means Clustering method and using several parameters, including age, quality, price, and sustainability or awareness. The method of collecting data is through a questionnaire and the research material is the buyers found in the online store Instagram (thriftboys.id). From the results of the clustering process that researchers have done using the K-means algorithm with manual calculations and rapidminer applications, the conclusions consist of; 1) In clusters 1 and 2 the age factor shifting from fast fashion to thhirft is 23 years, while in cluster 3 it is 25 years, 2) In the three clusters the average income that shifts from fast fashion to thhirf is group 3 or the range of 200000 -500000, 3) In the third cluster, people switch from fast fashion to thrift because of the good quality of goods, and 4) In clusters 2 and 3 more people are aware of textile waste for the world. Meanwhile, cluster 1 has the same number of conscious and unconscious waste.
Aplikasi Pengarsipan Surat Menyurat Berbasis Web menggunakan Metode First Come First Serve dan White Box Testing Muhammad Nurdin; Fauziah Fauziah; Ratih Titi Komalasari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 1 (2022): JANUARY-MARCH 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i1.395

Abstract

The existing mail management or archiving process still uses conventional or manual management with a search process that uses a long time, so researchers create a correspondence archive application that is considered necessary and help the Administration, using FCFS method and program code logic test using white Box Testing. The purpose of making this archival application is to help administrative officers to conduct digital management of mail archives. Black box test results show every design and control function in the application according / valid and white box test results show the calculation of logic flow that produces cyclomatic value, node, predicate node and existing path value produce the same value for page login value Cyclomatic Complexity, Predicate Node (P), and Path-path = 2, while for testing white box in the mail transaction section produces the same value that is for the value of Cyclomatic Complexity, Predicate Node (P), and Path-path = 3, so it can be concluded that the logic flow used is appropriate and can be implemented in The Administration.
Perancangan Website SMA Negeri 1 Tanah Masa Baluta Nias dengan Metode System Development Life Cycle Kurniadin Nehe; Iskandar Fitri; Albaar Rubhasy
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 2 (2022): APRIL-JUNE 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i2.397

Abstract

The purpose of this study is to design a web-based information system to provide information about the right SMA Negeri 1 Tanah Masa Baluta Nias, which can be accessed anywhere and used by the wider community and can accelerate up-to-date information about existing educational institutions. in the Tanah Masa Baluta District, Nias Regency, South Nias Regency, North Sumatra Province. This study uses the System Development Life Cycle Method so that you know the strategy or structure of the system that will be designed at the school, so that you can get the best quality website. Based on the results of the discussion on website design for SMA Negeri 1 Tanah Masa Baluta, it can be concluded that the results of the comparison of these methods are 85% in helping information services and management in processing school data more quickly and effectively and making it easier for the public to access information about SMA Negeri 1 Tanah Masa Baluta Nias.
Analisis Sentimen Tweet KRI Nanggala 402 di Twitter menggunakan Metode Naïve Bayes Classifier Muhammad Ariel Djamaludin; Agung Triayudi; Eri Mardiani
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 2 (2022): APRIL-JUNE 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i2.398

Abstract

Social media is one of the technological developments that has contributed greatly in making it easy for us to communicate and socialize, one of which is using Twitter social media. Twitter in this study is used as a data source to analyze tweets discussing KRI Nanggala 402. Analysis of KRI Nanggala 402 twitter sentiment is used to see the tendency of public responses to the sinking of the KRI Nanggala 402 submarine whether to give positive or negative opinions. This Sentiment analysis uses the Naïve  Bayes Classifier method, which is a classification method. The first research stage is crawling, processing, classification, and evaluation. The classification stage is carried out after the processing phase, where the classification results tend to be positive or negative, using the Naïve  Bayes Classifier method. The accuracy of the system in the Sentiment analysis of the KRI Nanggala 402 tweet is 73.00%.
Penentuan Lima Objek Wisata Terfavorit di DKI Jakarta Menggunakan SAW dan WP Berbasis Web Arman Rama Susanto; M Iwan Wahyuddin; Andrianingsih Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 2 (2022): APRIL-JUNE 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i2.399

Abstract

The purpose of this research is to create a web-based tourist attraction information system in the DKI Jakarta area. The benefit of this research is to find out information on tourist attractions such as addresses, routes and tourist attractions that you want to go to through a web-based system that has been created. In the research method that researchers use in system design consists of Unified Modeling Language (UML), Use Case Diagrams, Class Diagrams, Implementation. While the development method using Simple Additive Weighting (SAW) and Weight product (WP) method. Based on the process and research, it can be concluded that the Simple Addictive Weight (SAW) algorithm gives more accurate results than the Weight product (WP) algorithm. So that the user can make a selection of the tourist attraction to be visited after seeing the list of tours available on the Enjoy Jakarta website. Then give an assessment of the tourist attractions that have been visited.