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Taufiq Iqbal
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INDONESIA
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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Sistem Informasi Bimbingan Belajar Berbasis Web dengan Metode Waterfall Daud Situmorang; Iskandar Fitri; Benrahman Benrahman
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.v5i4.235

Abstract

The creation of a web-based information system at the North Jakarta Sunter branch of Kumon tutoring is intended to improve service quality and quality in the implementation of teaching and learning activities. Based on this, this study will develop a web-based information system that includes an interface design, namely the main page, login, subjects, schedule of subjects, and grades. Making this system an effort to optimize service performance to students.
Media Informasi Animasi 4 Dimensi Halte Transportasi Publik untuk Kenyamanan Masyarakat menggunakan Teknik Motion Planner Firnas Azamta; Iskandar Fitri; Albaar Rubhasy
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.v5i4.236

Abstract

As we know, there are a lot of public transportation users, especially buses, which are often used in almost all cities around the world. What is our focus this time is bus stops, many of which are abused from their initial function as a place to pick up and drop off passengers, and are very unfit for use. Therefore, a 4D animation information media for public transportation stops was created. This is done to show the public about the convenience of public transportation stops. This utilization also aims to make the bus stop facilities even better and more comfortable according to the needs of prospective passengers. The concept used in this design is "Livability", a word that refers to a good environment for a community to live in. The design results presented in the interior of this waiting facility are to make public transportation users feel safe and comfortable so that people can interact well with each other while waiting for public transportation.
Penerapan Face Recognition pada Aplikasi Akademik Online Budi Tri Utomo; Iskandar Fitri; Eri Mardiani
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.v5i4.244

Abstract

In the era of big data, the biometric identification process is growing very fast and is increasingly being implemented in many applications. Face recognition technology utilizes artificial intelligence (AI) to recognize faces that are already stored in the database. In this research, it is proposed to design an online academic login system at the National University using real time face recognition used OpenCV with the Local Binary Pattern Histogram algorithm and the Haar Cassade Classification method. The system will detect, recognize and compare faces with the stored face database. The image used is 480 x 680 pixels with a .jpg extension in the form of an RGB image which will be converted into a Grayscale image., to make it easier to calculate the histogram value of each face that will be recognized. With a modeling system like this it is hope to make it easy for user to log into online academics.
Rancang Bangun Media Pembelajaran Tenses English Berbasis Android menggunakan Algoritma Fisher-Yates Kiki Vebiant; M Iwan Wahyuddin; 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.v5i4.246

Abstract

English is a language that is widely used in various countries in the world. This makes english an international language and also must be studied in schools or even universities. In english, the verb used will be different at different times, places, and also events or it can be called a change in the verb (tense). So, learning and mastering tenses in english is the basis for learning or mastering english. This study aims to design and build an Android-based learning media for english tenses. The design applies a form of english tense quiz using the Fisher-Yates algorithm, which is a randomization algorithm that can randomize the order of the quiz questions so that the order of the quiz questions is not always the same and there are no repeated quizzes. The expected results will later become a learning medium for people who want to learn or master english and can understand the tenses in english.
Analisa Korelasi Nilai QoS dan MOS Video Conference BigBlueButtonBN pada Moodle Nur Hayati; Novi Dian Nathasia; Dede Wandi; Tri Ichsan Saputra
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.v5i4.252

Abstract

Virtual education is distance teaching in which teachers and students are in different places but can be connected to each other via the internet network. The virtual education system is divided into two, namely Learning Management System (LMS) and virtual classes. One of virtual education is video conferencing (vicon). A fully capable network is required to comply with Quality of Service (QoS) standards for real-time applications. This study analyzes the QoS of vicon features in LMS at the University of Nasional that is BigBlueButtonBN. Based on the QoS parameters obtained 25% throughput, 100% packet loss, 84.75% delay, 37.5% jitter and 58.5% MOS. Based on the bandwidth requirements of each parameter, the results are 61.2% or 27.9411MB. The MOS value for video 100 is 4, which results in very good images on this vicon.
Sistem Informasi Administrasi Kemahasiswaan dan Alumni (Smart Adma) dengan Metode Extreme Programming (XP) Mohammad Iwan Wahyuddin; Rima Tamara Aldisa; Fauziah Fauziah; Ira Diana Sholihati
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.v5i4.256

Abstract

The purpose of this research is to develop a website-based system to facilitate the academic administration of student affairs at the Faculty of Information Communication Technology, Universitas Nasional in providing various student information ranging from information on association activities, scholarships, competitions, achievements achieved by FTKI (SI-TI) students. and helping FTKI students and graduates to find updated information about job vacancies related to information technology. This study will develop an administrative information system for student affairs with the Extreme Programming method, an Agile Development Method. will include FTKI students and graduates as users. The results of research from the Student and Alumni Administration Information System (Smart Adma) can provide time efficiency in administrative management, make it easier for students to get information from association activities, proposals, requests for funds to submission forms and internship assessments, as well as alternative media during the Covid 19 Pandemic.
Algoritma Artificial Neural Network pada Text-based Chatbot Frequently Asked Question (FAQ) Web Kuliah Universitas Nasional Feri Mustakim; Fauziah Fauziah; Nur Hayati
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.v5i4.261

Abstract

The technology development increase the number of automation system in indudustry. One of them is Chatbot application in education industry. This automation technology is able to lessen university's service in order to facilitate the students' need of information whenever and wherever they are. Lack of student literacy regarding the functions and use of the web in conducting online lectures causes the same number of questions repeatedly to the university, which are actually frequently asked questions that have been written in a list of frequently asked questions (Faq), such as: assignment submission, forget passwords, lectures online, video conference lectures and lecture web applications on android. Chatbot will automatically answer students' question in university web page by providing information and suggesting a proper answer suit to the question. This research will develop Chatbot type based on text by applying Artificial Neural Network (ANN) algorithm . The applied data set while conducting the Chatbot coaching is  the questions data which frequently being asked (FAQ) in the study web, 25 questions with its answer which is divided into 16 labels or classes. The testing is conducted by using 110 different conversations from the dataset but have the same intention. From those 110 conversation, the Chatbot succed in answering 107 questions precisely and made 3 wrong conversation. The testing result shows a good result by having 97,27% accuracy and 2,72% error.
Perancangan Sistem Manajemen Absensi Online dengan Barcode scanner Menggunakan Power Apps Niam Shofi; Iskandar Fitri; Agus Iskandar
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.v5i4.272

Abstract

Attendance is a form of attachment or obligation between employees and companies, especially at PT. IDX with work locations for project employees who are spread across many companies and different office locations, namely in Jakarta and Bandung. Based on this study, an online-based employee attendance system using the barcode scanner method is applied, because previously employees were still using manual signatures with insufficient security systems and concerns about data leakage, with this attendance system employees do not need to sign manually, resulting in fraud. attendance can be avoided. The application of QR code technology to the employee attendance system can speed up the employee attendance process. Besides that, it can also help make it easier for the HRD Team in managing employee attendance reports to make it more effective and efficient.
Graph coloring Sistem Pendaftaran dan Proses Penjadwalan Data Instruktur Berbasis Web dengan Algoritma Welch-powell Muhamad Sopiyan; Fauziah Fauziah; Aris Gunaryati; Iskandar Fitri
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.v6i1.359

Abstract

Many things in this world are implementations of graph coloring, because the models are very useful for broad applications, such as registration and scheduling of web-based instructor data. The purpose of this study is to support the virtual training process by generating training schedules automatically. of the week. There are types of training programs with a duration of 1 hour, 2 hours and 3 hours. Previously the instructor had to register in advance and determine how many hours of training sessions and the availability of an empty schedule. The application of graph coloring can help formulate instructor schedules so that they do not clash with other instructors' schedules. From the results of this study, each instructor who teaches in a week is selected by the system with the total number of time slots in a week is 8x6 = 48 hours. If the total teaching hours of applicants reach 60, 61 or 62 hours, the system will shut down automatically.
Analisis Sentimen Pembelajaran Daring Menggunakan Metode Naïve Bayes, KNN, dan Decision Tree Tobby Wiratama Putra; Agung Triayudi; Andrianingsih Andrianingsih
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.v6i1.368

Abstract

Corona Virus Disease or better known as Corona Virus has attacked all corners of the world, including Indonesia. It has been almost +1 year that this virus is still attacking Indonesia and has an impact on various sectors, one of which is education. To contain the spread of the virus, the government has set an online education system. Many complaints were experienced by students, especially students who returned home, many of them experienced difficulties in accessing the internet, so many tasks to complete, and many more. The purpose of this study is to obtain the accuracy of the classification results based on the level of accuracy of the perceptions of students who use Twitter regarding the implementation of online lectures. In this research, the method used is Naive Bayes, KNN, and Decision Tree. The data used in this study is Twitter data by crawling data. From the results of this study, the Decision Tree method has a high value among other methods with an accuracy of 61.92%, precision of 73.63%, and recall of 11.42%.

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