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JUTEI (Jurnal Terapan Teknologi Informasi)
Published by Universitas Kristen Duta Wacana
ISSN : 25793675     EISSN : 25795538     DOI : https://doi.org/10.21460/jutei
Core Subject : Science,
Computer Science & IT
Jurnal Terapan Teknologi Informasi (JUTEI) is a journal focusing on theory, practice, and methodology of all aspects in Information Technology and Computer Science, as well as productive and innovative ideas related to new technology and applied sciences. This journal is managed by the Faculty of Information Technology, Duta Wacana Christian University. The subject of articles may cover, but is not limited to: -Artificial Intelligence -Business Intelligence -Cloud & Grid Computing -Computer Networking & Security -Computer Vision -Datawarehouse & Datamining -Decision Support System -Digital Signal Processing -E-System -Enterprise Architecture -Enterprise System (SCM, ERP, CRM) -Human Computer & Interaction -Image Processing -Information Retrieval -Information System -Information Systems Audit -Internet of Things -Knowledge Management -Mobile Computing & Application -Multimedia System -Open Source System & Technology -Semantic Web -Software Engineering -User Interface/ User Experience (UI/UX)
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 102 Documents
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Aplikasi Perangkat Bergerak Document Distributions System (DDS): Pengembangan dan Pengujian Umi Proboyekti; Magdalena Evelyn Halim; Argo Wibowo
Jurnal Terapan Teknologi Informasi Vol 7 No 1 (2023): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2023.71.227

Abstract

The company's delivery service must maintain a record of the documents/packages sent to customers or branches. The printed travel document as proof of receipt carried by the messengers must be presented to the shipping operational administrator in order to validate the delivery status of the parcel. In addition, the delivery operational administrator monitors delivery tracing based on the delivery status. The involvement of humans in shipping and administrative procedures causes delays. By developing the DDS application, researchers improve the efficiency of shipping information administration and monitoring. This mobile application's development is supported by the Flutter Framework with a UCD methodology that enables researchers to implement stakeholder requirements. Utilizing interview techniques, formative and summative usability testing, user participation is used to evaluate the efficacy, efficiency, and satisfaction of application users. Application development generates a DDS application that enables electronic monitoring of document/package delivery. The courier updates the delivery status via an application that can be directly monitored by the operational administrator. The test results indicate that the DDS application is one hundred percent effective and efficient, with a satisfaction rating of 4.6% among delivery operational administrators and messengers.
ANALISI PERBANDINGAN PENGGUNAAN BANDWIDTH APLIKASI CONFERENSI ONLINE PADA WEBEX, GOOGLE MEET DAN ZOOM Riko Gusjakal Muran; Yuan Lukito; Nugroho Agus Haryono
Jurnal Terapan Teknologi Informasi Vol 5 No 1 (2021): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2021.51.228

Abstract

During this pandemic, conference calls or often called concall became a tool that was often used due to government regulations regarding the new COVID-19. Due to these regulations the concall application is commonly used by all agencies. Because of this, new users of concall applications haveincreased and many of these new users still do not understand which applications are suitable for the network in their area. Therefore, researchers made research to provide information about QoS (Quality Of Service) from several applications, namely Google Meet, Webex, and Zoom. In thisstudy, researchers conducted research with 20 PC clients who were given network boundaries of 0%, 25%, 50%, and 75% using the Queue Tree andPCQ methods. In the study, there were 3 stages in the process, namely preparation, data collection, and data processing. The variables used by researchers areDelay, Jitter, Packet Loss, and Throughput. These variables are retrieved using the Wireshark application on the client pc. In this study, researchers used the Queue Tree and PCQ methods to provide dynamic limits to the user and to be able to limit accordingly for each application hierarchically. In this study, it is known that some applications have a very significant decrease in performance when the confined network reaches 50% or more of the total network obtained by the researcher when conducting the research. Thus the researchers hope that with this study readers can get information about which applications are good for use in their respective areas which have different speeds.
Studi Komparasi Performa NGINX dan HAPROXY Sebagai Load Balancer di Cloud Menggunakan Teknologi Kontainer Joshua Gibeon Mulyana; Willy Sudiarto Raharjo; Gani Indriyanta
Jurnal Terapan Teknologi Informasi Vol 5 No 1 (2021): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2021.51.229

Abstract

High availability and scalability is a must have feature for server that owned by industrial sector. One concept that used by technology practitioner ishorizontal scaling. Horizontal scaling can be achieved by using load balancer. Even though those technology practitioner started to adopt containerization technology, those technology practitioner still using load balancer. The purpose of this research is to compare NGINX and HAPROXY performance as load balancer based on response time and error rate. Both NGINX and HAPROXY will run on docker that installed on various virtual machine type in both AWS and GCP. The result shows that based on writer’s configuration, NGINX could handle medium and heavy load better than HAPROXY. Another result shows that AWS could handle medium and heavy load better than GCP.
Penerapan RESTful API untuk Membangun Program Pembayaran Piutang Menggunakan Otentikasi OAuth 2.0 Nina Wulandari; Argo Wibowo; Budi Susanto
Jurnal Terapan Teknologi Informasi Vol 5 No 1 (2021): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2021.51.230

Abstract

Retail business competition which is increasingly fast requires businesses to have a product sales strategy that is able to compete. Amigo Group convert this strategy by providing account receivable services for customers. The study " Penerapan RESTful API untuk Membangun Program Pembayaran Piutang Menggunakan Otentikasi OAuth 2.0", focused on how to use RESTful to provide the transaction API for accounts receivable payments, and the use of OAuth 2.0 as an authentication method, as well as load testing of API. The system design has been done with UML modeling language in the form of activity diagrams and sequence diagrams. Programming was done using the Laravel framework and MySQL database. Load testing was performed using the Locust application. These designs produced Back End functions that can be used on web and mobile platforms. As a result of load testing, the use of the OAuth 2.0 method is more advantageous than using Basic Auth. This is shown by the response time and request per second which is more stable in the use of OAuth 2.0.
Rancang Bangun Aplikasi Kawan Pencerita Berbasis Website Menggunakan Metode Prototype Amanat Dirgantara; Novian Adi Prasetyo; Trihastuti Yuniati
Jurnal Terapan Teknologi Informasi Vol 7 No 1 (2023): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2023.71.232

Abstract

Kawan Pencerita Publisher is a company that provides opportunities for aspiring authors to develop and publish their works. Since its establishment in 2018, Kawan Pencerita Publisher has faced marketing challenges on an annual basis. To address these challenges, the company decided to create a website. A website is a collection of web pages that includes a domain or subdomain and other essential information, making it easier for users to access important details. The objective of this study is to design and develop a Kawan Pencerita Publisher website as a marketing tool, as the current sales are limited to the Instagram social media network. For the website development, the Prototype software development method is utilized. The system testing conducted for the website follows the Blackbox Testing approach, which aims to ensure its optimal performance. The test involved all 11 employees of KP Publisher. The results of the testing indicate that the system functionality is at 100%, meaning that all required functional aspects specified in the project and system requirements are successfully implemented.
Pembangunan Dashboard Inventory Pada Bisnis Ritel Yusuf Giri Priyangga Adi; Budi Susanto; Maria Nila Anggia Rini
Jurnal Terapan Teknologi Informasi Vol 5 No 2 (2021): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2021.52.231

Abstract

In this study, it will be explained how to create a data mart in a retail business to answer the KPI (Key Performance Indicator) inventory of goods which will be visualized in the form of a dashboard to make it easier for company executives to see the condition of inventory in stores. In making a data mart, it will be explained how the ETL (Extraction, Transformation and Loading) process from a transactional database from 9 stores becomes a data mart. The data mart in this study was built using a star schema and produced 4 dimension tables and 1 fact table. Star schema is used to simplify the query process when you want to display data on the dashboard. After the dashboard has successfully visualized the data, then testing is carried out on users using the UEQ (User Experience Questionnaire) method to find out how the user experience when using the dashboard. From this study, it was found that the dashboard was able to visualize the total inventory of goods, consigned goods inventory, non-consigned trunk inventory in monthly, semester, quarterly, and annual periods. And excellent results on 6 scales of User Experience Questionnaire (UEQ).
Sistem Pendukung Keputusan Penentuan Lokasi Embung dengan Menggunakan Metode Višekriterijumsko Kompromisno Rangiranje (VIKOR) Akhmad Ali Sajidin; Ike Pertiwi Windasari; Dania Eridani
Jurnal Terapan Teknologi Informasi Vol 7 No 1 (2023): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2023.71.233

Abstract

Drought is one of the environmental problems that will specifically cause serious problems if it occurs for a prolonged period. One way to overcome this problem is by building reservoirs or small dam as water storage facilities. In Semarang Regency, there are 8 identified locations for small dam candidates, but not all of them can be built within the 5-year budget plan. Decision support systems can be used to determine the priority of candidate small dams based on predetermined criteria, so that budget resources can be utilized optimally. VIKOR (Višekriterijumsko Kompromisno Rangiranje) is one of the Multi-Criteria Decision Making (MCDM) methods used to solve discrete decision-making problems with conflicting criteria. The VIKOR method can be used to rank candidate small dams with multiple criteria. By implementing the VIKOR method into a decision support system, the process of determining the priority of the best small dams in Semarang Regency can be done effectively and efficiently. The information system was developed using the RAD (Rapid Application Development) method with the PHP programming language and MySQL database, and the Codeigniter framework. In the decision support system, the priority ranking for the construction of small dams in Semarang Regency is displayed based on the results of the VIKOR method calculation using several criteria, including topographic factors (vegetation in inundation area, volume of material embankment, and land acquisition area), hydrological factors (live storage/effective storage volume), effectiveness factors (reservoir lifetime and water cost), and accessibility factors (access road to dam's site). The ranking result generated by the decision support system using VIKOR can be used as a reference by decision makers or organizations to improve efficiency in the process of determining the construction of small dams by providing alternative compromise solutions for the best dam options.
Implementasi Dashboard Untuk Visualisasi Data Penerimaan Mahasiswa Baru Studi Kasus : Universitas Kristen Duta Wacana Vanesha Glorya Priskilla; Yetli Oslan; Lussy Ernawati
Jurnal Terapan Teknologi Informasi Vol 5 No 2 (2021): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2021.52.234

Abstract

New Student Admissions activities at an University needs to be monitored to determine the performance of Admission and Promotion. Admission data can be processed and analyzed to determine the expo destination schools, promotion locations, and appropriate potential areas. In addition, the results of Admission data processing can be used to determine the fluctuation of enthusiasts in the Majors from previous periods or the comparison of the number of enthusiasts between Majors. For that reason we need a dashboard as a tool to help user for analyze, monitor and be taken into consideration in making strategic decisions related to Admission activities. The implemented dashboard consists of a collection of information that is visualized in graphs and numbers. The users of the dashboard are employees of the Admissions and Promotion Unit, Head of Majors for each department, and Administrators.                   There are 6 dimensions displayed in the dashboard, namely time, region, test route, path transfer, prospective students, and school origin. The data of new student admissions is processed and stored into the data warehouse through the ETL process. Furthermore, the data warehouse is used as data storage for the implementation of a web-based dashboard application using the PHP programming language. The implemented dashboard consists of Admission information that is visualized into charts and numbers. the graphs that used in PMB data visualization include bar charts, doughnut charts, pie charts, column charts, line charts, and map charts.
Pencarian Jadwal Kuliah Pengganti: OUTTER JOIN Katon Wijana; Yetli Oslan; Harianto Kristanto
Jurnal Terapan Teknologi Informasi Vol 7 No 1 (2023): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2023.71.261

Abstract

The class schedule is determined during student registration, but in practice, there is a possibility of schedule failure due to various reasons, such as a lecturer having other important commitments on that schedule, national holidays, or other reasons. According to academic regulations, the number of face-to-face class meetings has been predetermined, which is 14 meetings. Therefore, if a class meeting fails to take place, it must be replaced with a substitute schedule.            Finding a substitute class schedule does not only consider the availability of the respective lecturer's schedule but also takes into account the availability of classrooms and the schedules of each student to ensure that all students can attend (not attending other courses). This way, the substitute schedule can be implemented without disrupting students' activities.            Unlike previous research, which focused on generating class schedules using search and filtering techniques, this study will display all alternative substitute schedules that can be implemented without disturbing the schedules of lecturers, students, or room usage by utilizing multiple table queries with outer join relationships.                       Finding a substitute class schedule does not only consider the availability of the respective lecturer's schedule but also takes into account the availability of classrooms and the schedules of each student to ensure that all students can attend (not attending other courses). This way, the substitute schedule can be implemented without disrupting students' activities.            Unlike previous research, which focused on generating class schedules using search and filtering techniques, this study will display all alternative substitute schedules that can be implemented without disturbing the schedules of lecturers, students, or room usage by utilizing multiple table queries with outer join relationships.   Keywords-class schedule, substitute schedule, lecturer schedule, student schedule, room usage.
Pengembangan Telegram Chatbot Informasi Mahasiswa Menggunakan Wit.ai Joey Ferelestian, Varrel; Susanto, Budi; Senapartha, I Kadek Dendy
Jurnal Terapan Teknologi Informasi Vol 7 No 2 (2023): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2023.72.257

Abstract

Messenger has become a medium that is widely used by humans to communicate and exchange information. Telegram is one of the most widely used Messengers. Telegram has a chatbot feature. Chatbot speeds up receiving information from websites to users. Receiving information through the website requires several steps to obtain information, while chatbots only need requests from users in the form of text. In this study, a Telegram chatbot will be created using Natural Language Processing (NLP) which focuses on several tasks such as Natural Language Understanding (NLU) and Natural Language Generation (NLG). The chatbot training will use the cloud vendor Wit.ai Natural Language Processing (NLP) service. The results of this study are chatbots trained using the Wit.ai NLP Service cloud vendor can process requests from users and provide responses to users according to previously requested information in a short time. The answers given by the chatbot have an accuracy rate above 0.6.

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