Article Per Year (5 Year)
p-Index From 2019 - 2024
6.353
P-Index
This Author published in this journals
All Journal Paduraksa : Jurnal Teknik Sipil Universitas Warmadewa Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi SMARTICS Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Sistem Informasi dan Aplikasi JSiI (Jurnal Sistem Informasi) JURNAL NUSANTARA APLIKASI MANAJEMEN BISNIS Capture : Jurnal Seni Media Rekam Journal of Humanities and Social Studies Jurnal Teknologi Komputer dan Sistem Informasi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Informasi dan Teknologi G-Tech : Jurnal Teknologi Terapan Journal of Music Science, Technology, and Industry (JOMSTI) Jurnal Sistem Informasi dan Sains Teknologi Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Inovasi Informatika Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Networking and Security - IJNS Prosiding Konferensi Nasional PKM-CSR SATIN - Sains dan Teknologi Informasi Jurnal Pendidikan Teknologi Informasi (JUKANTI)
Dazki, Erick
Pradita University
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences Other

Published : 48 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : Jurnal Teknik Informatika (JUTIF)

 1 
COMPARISON BEST VIDEO CONFERENCE FOR LEARNING AND TEACHING ACTIVITIES USING ANALYTIC HIERARHICAL PROCESS Januponsa Dio Firizqi; Saiful Azhari Muhammad; Richardus Eko Indrajit; Nurul Hidayat; Erick Dazki
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.138

Abstract

During the pandemic, almost all industries have been disrupted, including the education industry. To support the sustainability of the education industry, many institutions use various video conferencing platforms. There are six aspects that need to be considered in choosing a video conference platform: Features provided, Ease of use, security level, bandwidth usage, platform stability and the ability to accommodate the number of participants in a conference room. This study shows how to prioritize these aspects in choosing a video conferencing platform carried out by educational institutions in Indonesia. The method used in this research is the Analytical Hierarchical Process (AHP). And the results of this study show the order of aspects in choosing a video conferencing platform for teaching and learning needs.
SELECTION OF PAYMENT METHODS IN ONLINE MARKETS USING ANALYTICAL HIERARCHICAL PROCESS Refgiufi Patria Avrianto; Januponsa Dio Firizqi; Rido Dwi Kurniawan; Richardus Eko Indrajit; Erick Dazki
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.232

Abstract

Transactions through the online market are carried out using various payment transaction methods, both digitally and in cash through the Cash on Delivery (COD) service. Therefore, with various payment methods that exist in the process of buying and selling transactions on the online market, especially in payment transactions in the current digital 4.0 era. Often users feel confused about which payment method to use, because there are quite a lot of payment methods to choose from. This study aims to examine and analyze the choices of online market users in choosing payment methods (Digital Banking, ATM Transfer, Credit Card, E-Wallet, COD) when transacting. The analysis data was obtained by distributing questionnaires to active users of the online market which were then processed and tested using the Analytical Hierarchy Process (AHP) method with the help of the AHP Calculator application. The results of this study indicate that Digital Banking excels with a value percentage of 28.7%, followed by COD 20.7%, E-Wallet 20.4%, ATM Transfer 18.9% and the last is Credit Card 11.2%. In general, the main criteria that are prioritized in the selection of payment methods are trust with a weight value of 28.8% and the most prioritized alternative is using Digital Banking with a value of 28.7%. In addition, it is also known that the AHP method is very suitable for use in the decision-making process with multi-criteria and multi-alternatives, as well as decisions in choosing a payment method, because this method shows the results of a weighting comparison between criteria and alternatives.
ENTERPRISE ARCHITECTURE FOR HEAVY EQUIPMENT DEALER IN INDONESIA USING BUSINESS MODEL CANVAS Guntur Haludin; Richardus Eko Indrajit; Erick Dazki
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.4.270

Abstract

Indonesia as one of the countries endowed with abundant natural resources drives the development of the mining, plantation and construction industries that contribute to economic growth and state revenue. In practice, both the mining and plantation and construction industries require heavy equipment to conduct their business operations where heavy equipment dealers supply this need. Heavy equipment dealers in addition to selling heavy equipment units, also provide after-sales services such as supplying spare parts and maintenance services ranging from routine maintenance to total maintenance services. In line with the development of technology, heavy equipment dealers need to conduct digital transformation to maximize business opportunities and optimize their business operations. For this, it is necessary to plan a business model by creating a comprehensive enterprise architecture, starting from the business aspects, application, the information, the technology, and core business processes. The paper will explain the process to develop the enterprise architecture using business model and further detailed with the three main revenues using the ArchiMate diagram to show the interaction between the business processes with the applications, databases, technology, and business actors who play a role in the process.
SELECTION THE BEST QUIZ APPLICATIONS AS LEARNING PERFORMANCE EVALUATION MEDIA USING THE ANALYTICAL HIERARCHICAL PROCESS METHOD Rido Dwi Kurniawan Kurniawan; Refgiufi Patria Avrianto; Richardus Eko Indrajit; Erick Dazki
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.326

Abstract

The existence of the COVID-19 pandemic requires the whole world to limit activities outside the home, including in the world of education that uses a learning system from home. To facilitate learning activities, relevant media are needed, currently there are many recommendations for quiz applications with various interesting features. With the selection of the right learning application, it is hoped that online learning activities can run more pleasantly and be easily accepted by teachers and students. In this study, analysis and comparison was carried out with the most widely used quiz applications such as Kahoot, Quizizz, Mentimeter, Quizlet, and Educandy based on the features available in the selected quiz application. The five apps were rated based on the criteria: Security, Easy to Use, Features, Stable Connectivity, Results and feedback for Identification on the best quiz apps. Then the assessment will be analyzed and processed using the Analytical Hierarchy Process (AHP) method with the help of the AHP Calculator application. The results of this study, Kahoot ranks first with a score of 27.7%, followed by Quizizz with a score of 24.3% and then Educandy with 19%, then Mentimeter with 16% and in the last place there is Quizlet with a value of 13%. In addition, it is also known that the AHP method is very suitable for use in the decision-making process with multi-criteria and multi-alternatives, as well as decisions in choosing the quiz application method, because this method shows the results of a weighting comparison between criteria and alternatives.
ROBOTIC PROCESS AUTOMATION FOR QUALITY CONTROL ASSESSMENT USING SELENIUM Refgiufi Patria Avrianto; Mochamad Isnin Faried; Erick Dazki; Richardus Eko Indrajit
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.341

Abstract

Robotic Process Automation (RPA) is a form of technology to automate tasks and routines performed by humans, which can be instructed to machine. Along with the rapid development of technology, the time that can be used to maintain the quality of a technology is becoming increasingly narrow. Therefore, RPA will imitate activities or tasks performed by humans on a computer with a much faster processing time and 100% accuracy without "human error". The agile method was chosen in this study because of its focus on flexibility and more responsiveness to required changes. The system developed in this paper uses the Selenium library with the Python programming language and retrieves task data from the MNC IT team, especially the QC division for the RCTI+ website Quality Assessment process. From the results of testing this system, it shows that the testing process using this system and testing from a tester / examiner get the same results. However, because this system is programmed, it will have more stable and efficient results.
SENTIMENT ANALYSIS OF INDONESIA'S CAPITAL CITY RELOCATION USING THREE ALGORITHMS: NAÏVE BAYES, KNN, AND RANDOM FOREST Joshua Muliawan; Erick Dazki
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.1436

Abstract

The relocation of Indonesia's capital city from Jakarta to the IKN Nusantara on the island of Borneo has become a trending topic that triggers conversations and opinions on various social media. The pros and cons of this policy are very pronounced in various media, especially on Twitter or X platform. The purpose of this research is to conduct a public sentiment analysis of public opinion related to the relocation of Indonesia's capital city. Data is taken from tweets comments collected during a certain period from June to September 2023. This research uses a Natural Language Processing approach with data pre-processing techniques to prepare the data before applying labeling and classification algorithms. This research tests the accuracy of three algorithms used in classification, namely Naïve Bayes Classifier, K-Nearest Neighbor, and Random Forest. The results of the data classification show that positive sentiment has a value of 36.8%, neutral sentiment is at 25%, and negative sentiment related to the relocation of the capital city is 38.1%. Then an accuracy test was carried out on the Naïve Bayes Classifier Algorithm method which found an accuracy value of 65.26%, the K-Nearest Neighbor Algorithm of 58.25%, and the Random Forest Algorithm of 45.05%. This shows that the Naïve Bayes Classifier Algorithm method has better accuracy than other algorithms in predicting classification in sentiment analysis. This research also identifies the frequency of key words that often appear in each sentiment which can be valuable information for monitoring public opinion on social media.
Co-Authors Aditya Bima Andreas Putra Wijaya Atmojo, Wahyu Tisno Bagus Prasetyo Budiono Bayu Saputra bayu Yasa Wedha Bram Sivadjati Budi Setiawan Daniel Avian Karjadi Dennis Michael Diana Diana Dimas Prawira Dimas Yudha Prawira Djaja Amanda Djarot Hindarto Djarot Hindarto Dodi Permadi Eka Waras Kristianto Eko Indrajid Eko Indrajit Felix Fernando Oroh Ferdy Achmad Zulfikar Firman Pradana Rachman Glenny Chudra Grace Devina Mulyadi Guntur Haludin Hadri Helmi Handri Santoso Handri Santoso Handri Santoso Handri Santoso Hidayat, Nurul Isra Ruddin Isra Ruddin Isra Ruddin Januponsa Dio Firizqi Januponsa Dio Firizqi Joshua Muliawan Jovanica Louis Kelwin Mayatopani, Hendra Mochamad Isnin Faried Muamar Fadli Kaddafi Nathaniel Crosley R Arif Firmansah Refgiufi Patria Avrianto Refgiufi Patria Avrianto Refgiufi Patria Avrianto Richardus Eko Indrajir Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit Richardus Eko Indrajit - Institut Perbanas Jakarta Rido Dwi Kurniawan Rido Kurniawan Saiful Azhari Muhammad Saiful Azhari Muhammad Thamrin Sofian Vicky Hotty Setya Hanitha Viktor Gunawan Yadi Karyadi Yakob Jati Yulianto Zaenab Islami