cover
Contact Name
Taufiq Iqbal
Contact Email
taufiq.iqbal@lembagakita.org
Phone
+6285277777449
Journal Mail Official
jtik@lembagakita.org
Editorial Address
Teuku Nyak Arief Street Number: 7b Lamnyong, Banda Aceh City, Aceh Province
Location
,
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
Implementasi Finite State Automata pada Mesin Otomatis Es Krim Alda Zevana Putri Widodo; Windu Gata; Sri Rahayu; Jordy Lasmana Putra; Laela Kurniawati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.522

Abstract

Technology is increasingly developing to help various human activities. The application of technology that has a significant influence in the industrial sector is automatic machines. An automatic machine is a technology chain whose concept is to make manual activities automatic with the aim of carrying out production and making higher quality output. This study uses two methods, namely the analytical method by obtaining information from the relevant literature to analyze previously about the automatic ice cream machine and develop from the old version. The formal method is to analyze the operation of automatic machines starting from reading input to final completion to provide results from automatic machines and designing ice cream machine applications using visual studio applications. The results of this study have passed the JFLAP application testing and can be an option to analyze the automatic ice cream maker machine by recognizing the input patterns given by the user.
Alat Pendeteksi Data Vaksinasi Sensor FPM10A dan NODEMCU ESP8266 Menggunakan Metode Sequential Searching Afrido Soales Sitohang; Andrianningsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.528

Abstract

Making a finger vaccination data detection system using the IOT-based FPM10A sensor and Nodemcu esp8266 in order to facilitate the community process during a pandemic. Sequential Search Algorithm is a linear search algorithm, this algorithm performs searches faster because the search process is already in an ordered state. In this pandemic period, in every activity or traveling to a place, now you often have to show proof of vaccination and the community's capacity to use the internet is still not evenly distributed to show vaccination certification, of course this will make it easier, this can also avoid fake vaccination certifications. In this study, in addition to using a fingerprint recognition device, the Nodemcu esp8266 microcontroller and fpm10a sensor are also used as transmission media to the application, making it easier for the public and users of this tool to save costs and time.
Sistem Pendukung Keputusan Penentuan Home industry Menggunakan Metode Topsis Bob Aziz; Andrianingsih
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 3 (2022): JULY-SEPTEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i3.529

Abstract

The research objective is a system that can determine the right home industry business in the midst of business competition, and to implement the TOPSIS technique when the Decision Support object sets the home industry right in the midst of intense competition. The categories used in this observation are initial capital, monthly working budget analysis, profit analysis, whether the selected business category is a variety of businesses with different types of enthusiasts, and there are various competitors with the same type of business. The data is taken based on the Home industry type of food. Decision Support System designed using TOPSIS technique, PHP programming language, Laravel framework, MySQL as database management, and Black-box Testing as the method used to test the functionality of the system that has been built. Based on the tests applied using the Black-box Testing technique, the conclusion of the test shows that the system made in series is as expected. In other words, the system designed will be able to help users who are just starting a Home industry business in determining which products to sell.
Analisis Sentimen Mengenai Keberhasilan Indonesia di Ajang Thomas Cup 2020 (Studi Kasus Media Sosial Twitter) Menggunakan Metode Naïve Bayes dan Decision Tree Muhammad Andi Ramadhan; Muhammad Iwan Wahyudin
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.560

Abstract

The Indonesian men's badminton team won the 2020 Thomas Cup after defeating China in the final. The final match of the Thomas Cup 2020 between Indonesia and China took place at Ceres Arena, Aarhus, Denmark. As a result, Indonesia won 3-0 over China. On social media twitter, Indonesia's success in the Thomas Cup 2020 event has become one of the most discussed topics due to the large number of supports and opinions from various circles of society. Some opinions from the public on Twitter will be used as sentiment analysis public opinion to reSearch data regarding Indonesia's success in the 2020 Thomas Cup. This reSearch uses the Naïve Bayes and K-NN methods which are expected to have a good level of accuracy. According to several studies, the Naïve Bayes method has an accuracy rate of 95.161%, while the Decision Tree method has an accuracy rate of 84.677%.
Sistem Pakar Kelayakan Perizinan pada Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Menggunakan Metode Forward Chaining Nanang Susanto; Junadhi; Helda Yenni; M Jamaris
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.610

Abstract

Efforts to increase investment in the regions need to be carried out with intensification and extensification activities, improving the implementation of excellent services through the formulation of strategic planning. Policies in the investment sector are basically aimed at increasing the ability of the regions to invite investors to enter the city of Medan. So far, the process of granting permission is by registering by filling out the form and uploading the required files, then the team will verify the files manually, this kind of work is considered less effective because it takes quite a long time. Likewise, the central government often changes regulations related to financial management, licensing, investment-related aspects, so that the regions must immediately adapt to the new regulations. The system process that uses the forward chaining method is by solving problems that are tracked based on existing facts until conformity is found based on the Rules that are formed until conclusions are found. The research that has been done can be concluded that the Expert System using the forward chaining method which is applied to the system in determining the feasibility of licensing is good enough to be applied because it can help the community, the investment office in determining the feasibility of the proposed business through the system. This expert system also provides information on recommendations for improvement to people who submit but are not yet eligible, so that they can easily adjust the conditions, facilities, and other supports to the standards made by the government.
Perancangan Sistem Informasi Penggajian Karyawan di CV Anugerah Sukses Gemilang Retno Evitasari; Muthmainnah; Rini Suwartika Kusumadiarti
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.611

Abstract

The payroll process for CV Anugerah Sukses Gemilang employees already uses a computer but it is not optimal because it still uses Microsoft Excel in calculating salaries. This payroll process has not given maximum results because it is not effective and efficient. It is necessary to make a computer-based employee payroll system that is more optimal, it is hoped that it can provide accurate, effective, and efficient employee salary data information. The purpose of the research is to make it easier for the company in the payroll process and minimize problems that often occur. Information system designed using Microsoft Visual Studio 2010 programming language and MySQL database. The method used in developing this system is the prototype method with design tools using Flowmap, Data Flow Diagrams (DFD), and Entity Relationship Diagrams (ERD). The results of this employee payroll application can facilitate the calculation of employee salaries and can shorten the time in searching and matching employee data to minimize errors in the employee payroll system.
Aplikasi E-Transaksi dan Pelaporan Kegiatan di Galeri Investasi Politeknik Piksi Ganesha Devira Nurani Bate'e; Utami Yuditianingsih; Karyadi; Candra Mecca Sufyana
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.615

Abstract

An investment gallery in a university becomes a teaching medium, especially for students in studying investment in the capital market. Transactions and processing of investor data at the Piksi Ganesha Polytechnic Investment Gallery, Bandung are currently still done manually and not yet computerized so that the recapitulation of investment activities, search for investor data, and transaction reporting and investor activity data is not yet effective and efficient, so this study aims to design transaction applications. and web-based Investor activity data reporting at the Piksi Ganesha Polytechnic Investment Gallery Bandung. The research method used is descriptive qualitative with data collection techniques through observation, interviews, documentation and literature study. The software development method uses the waterfall. Information system design using data flow diagrams and implementation with PHP programming language with bootstrap framework and My SQL database. It is hoped that the Investment Gallery application can make it easier for investors to get information and facilitate transactions and for users to make it easier to manage activities and report investment activities transactions.
Analisis Sentimen Terhadap Vaksinasi Astra Zeneca pada Twitter Menggunakan Metode Naïve Bayes dan K-NN Slamet Harry Ramadhani; Muhammad Iwan Wahyudin
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.530

Abstract

The number of positive examples of Coronavirus continues to grow every day, especially in Indonesia. In an effort to reduce the surge in the higher case, the government carried out vaccination programs provided free for all Indonesian people. One vaccine given to Masyara-kat is the Astra Zeneca vaccine. In the provision of these vaccines bring benefits and losses in the community, some are supported and doubtful, some even refuse. On social media Twitter, Astra Zeneca is one of the most widely discussed in social media because of the many opinions or opinions that have sprung up from various circles. Some opinions from the community on Twitter will be used as data to examine the analysis of sentiment in the Astra Zeneca vaccine that utilizes the Naïve Bayes and K-NN methods. It is expected to produce an accurate level of accuracy. Based on the results of the study found different levels of accuracy, for the use of the Naïve Bayes method produced an accuracy rate of 90.71% +/- 4.66% (Micro Average: 90.77%) while the KNN method produced an accuracy rate of 74.78% +/- 3.74% (micro Average: 74.77%).
Sistem Pakar untuk Mendeteksi Gejala Awal Penyakit Apendisitis dengan Metode Case Based Reasoning (CBR) Berbasis Mobile Android Catur Nugroho; Ade Davy Wiranata; Rima Tamara Aldisa
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.553

Abstract

Appendicitis is caused by inflammation of the intestines (appenditis). The patient will feel pain in the lower right abdomen. This study explores this with several references, by designing an expert system an application is produced that is used to detect appendicitis. This process can help detect early symptoms starting from the user answering questions in the form of symptoms suffered by the user. The research applies the Case Base Reasoning method in the expert system by detecting the early symptoms of appendicitis using this android-based device. The research aims to add experience to users in finding out the disease they feel by entering the initial symptoms and providing solutions or it can be without consulting the nearest hospital or clinic. The results of the research. This android-based appendicitis expert system aims to help diagnose Appendicitis Inflammatory Disease for children under five and adults based on Android Mobile, and the Appendicitis Disease Diagnosis Expert System that was built to provide information easily starting from understanding, dangers, causal factors, symptoms of the disease and solution only by consulting the system and objectives can help provide a good solution.
Implementasi Algoritma Dijkstra Rute Terpendek pada Aplikasi WisKul PasMing Muhamad Reza Pahlevi; Ratih Titi Komalasari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.554

Abstract

Indonesia is famous for its various kinds of culinary tourism and spread in various areas of the city of Jakarta. Various types and locations of culinary make it difficult for local and foreign tourists to find and choose culinary dishes and the routes to culinary locations in Jakarta are very numerous and varied, especially foreign tourists. Therefore, the author tries to make an android-based culinary tourism location search application in the hope that it can provide a lot of culinary location information with the fastest and closest tracks, and is equipped with a map of culinary tourism locations. The algorithm used to find the shortest track uses the Dijkstra algorithm. The Dijkstra algorithm is a search algorithm for the shortest track based on the smallest track (edge) from the implementation location to the destination culinary tourism location. Culinary tourism area data and road data obtained from Google Earth and Google maps. From the origins of the trial of instances which have been done, it could be visible that the application has succeeded in implementing the Dijkstra solving procedure in finding the shortest route to culinary locations. This study produces the following distance node values BCDEJIF, ABCDFGHINM, MNIFDCBAE, BAEJNMLKHG, ABCDFGHIJE ABCDFGHILM, ABCGHKLMNIJE.