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Journal : INFORMAL: Informatics Journal

Analisis Usability Website Si-Prestasi Dengan Metode USE Questionare Agus Dwi Milniadi; Yudha Alif Auliya
INFORMAL: Informatics Journal Vol 6 No 2 (2021): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v6i2.25711

Abstract

Web technology is growing rapidly, with today's website being a role to improve effectiveness, the design of the web can be said to be good when it meets usability aspects for testing the products, which are compatible with the manufacturing and easier access to the site. One of the implementations of the effectiveness of website technology is the implementation of the website to assist with learning teaching at the covid-19 pandemic. Nganjuk district will maintain it by creating an e-learning based website called Si-Prestasi. But in the user data found on the si-prestasi website, there is a user decline from the Si-Prestasi website. In January 2021, student users reached 731,621 and in April 2021 to 187,590 times and teacher users, 3,658 times opened the applications for their accomplishments, and in April 2021 down to 11,612 times. Thus the study aims to analyze Culinaire's usability system by referring to the 5 aspects of usability: learnability, efficiency, memorability, errors, and satisfaction. The results of this research demonstrate that the aspects of learnability, efficiency, memorability, and satisfaction are at a good category value and the error aspect falls insufficient category. Therefore, improvements need to be made to optimize the website and improve on the server si-prestasi websites.
Detail Engineering Deisgn Perancangan Detail Engineering Design Infrastruktur Jaringan Komputer RSUD X Kota Y Aditya Ari Fikri; Diah Ayu Retnani Wulandari; Yudha Alif Auliya
INFORMAL: Informatics Journal Vol 7 No 3 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i3.35144

Abstract

Detailed Engineering Design Computer networks in hospitals are complete planning drawings that include architectural drawings and detailed elements that support the implementation of computer networks and are supported by technical documents in them. DED is required in hospitals as an attachment to the Network infrastructure submission document used for all hospital operations, health services, and other purposes. The method used in analyzing and designing the Detail Engineering Design is using the Gap Analysis Method (GAP). The proposed recommendations include network topology based on an analysis of existing needs and DED results for the computer network of X City Y Hospital. The topology testing parameters consider QOS (Quality of Service), which consists of ping testing on all devices, Traffic Block Firewall, and web server access. The test results were carried out using three parameters, namely the ping test, traffic block, and web server access, where all tests have been successful and are by the steps in carrying out the test.
Peramalan Jumlah Pengunjung Objek Wisata Gumul Paradise Island Kabupaten Kediri Menggunakan Metode Prophet Yudha Alif Auliya; Yanuar Nurdiansyah; Ari Puji Astuti
INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i1.35605

Abstract

The obstacle most often faced by tourist attractions is related to the variable number of visitors where the number of visitors has decreased due to the co-19 pandemic. This variable number of visitors can be an obstacle for tourist attraction managers to be able to maximize the income earned. This study aims to develop a forecasting system for the number of visitors to Gumul Paradise Island by applying the Prophet Method. The stages of the research include communication, prophet modeling, and evaluation of results. The data used as training data is visitor data from 2012 to 2021. This study used data-filling techniques to fill in the blank training data. The accuracy rate of forecasting the number of visitors is 99.387% in comparing the forecasting results of training data with test data and 90.242% in forecasting results with actual data. This can be interpreted that the forecasting model using the prophet method can predict the number of visitors to the Gumul Paradise Island tourist attraction.
Rancang Bangun Chatbot Pengaduan Kekerasan Perempuan Anak Dengan Metode Fuzzy String Matching Dan Enhanced Confix Stripping Stemmer Al Muhtadi Billah; Diah Ayu Retnani Wulandari; Yudha Alif Auliya
INFORMAL: Informatics Journal Vol 8 No 2 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i2.42310

Abstract

Violence against women is a serious issue affecting many individuals in society. In Indonesia, including Kota Probolinggo, the number of cases of violence against women remains high. This research aims to design a chatbot application as a means for reporting violence against women and children (VAWC) in Kota Probolinggo. The application provides an anonymous and safe space for victims to report their complaints without revealing their identities. Additionally, the chatbot delivers information and education about different types of violence against women and preventive measures. The development of the chatbot application utilizes Fuzzy String Matching, Enhanced Confix Stripping Stemmer, and preprocessing methods to enhance data search accuracy and provide appropriate responses to users. The testing results show that the chatbot offers responses with satisfactory accuracy. Leveraging AI technology in the form of a chatbot is expected to provide an effective solution in addressing and preventing violence against women, offering a secure and anonymous platform for victims to report incidents. The application is envisioned to offer better support and assistance to victims of violence. The chatbot application implements fuzzy string matching, the Levenshtein distance algorithm, and Enhanced Confix Stripping Stemmer to process user input before matching it with the database. During the Enhanced Confix Stripping Stemmer process, sentences are transformed into an array of basic words, enhancing the accuracy of data matching when using fuzzy string matching and the Levenshtein distance algorithm. Testing results indicate a 4.77% difference between manual calculations and the chatbot system. This difference may be attributed to variations in text processing and other factors.