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INDONESIA
INFORMAL: Informatics Journal
Published by Universitas Jember
ISSN : 2503250X     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 219 Documents
 18   19   20   21   22 
Penerapan UML Dalam Official Sistem Suatu Kost Berbasis Website Sanjaya, Roy Bagus; Voutama, Apriade
INFORMAL: Informatics Journal Vol 9 No 2 (2024): 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.v9i2.47412

Abstract

The boarding house business is one of the profitable businesses, especially in places where the majority of residents are from outside, the more outsiders who come, the more the boarding house business will grow. However, with the large number of boarding house residents, a boarding house requires a website that regulates the boarding house system so that it makes it easier for both the owner and the boarding house residents in it. The development of this boarding house system will be one of the keys to getting out of this problem and the development of the boarding house aims to facilitate activities in it so that the ongoing business process can run efficiently. With the existence of this boarding house system website, it can speed up boarding house owners in recording all data related to boarding houses or boarding house residents who rent. The design of the boarding house system in the future will be very useful during the running of the boarding house business and the data collection in it.
Restructuring Arsitektur Backend Aplikasi XYZ Berbasis Microservice Merta, I Kadek Priyana Adi; Andika, I Gede; Supartha, I Kadek Dwi Gandika; Ariana, Anak Agung Gede Bagus; Adnyana, I Gede
INFORMAL: Informatics Journal Vol 9 No 2 (2024): 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.v9i2.48699

Abstract

This research aimed to restructure the backend architecture of the XYZ application prototype using Microservice architecture. Load testing was conducted to compare the performance of the initial prototype backend and microservice architecture on response-time, throughput, and latency metrics. The restructuring method used was arranged in 4 stages with a total of 7 activities. In the first stage, system analysis was conducted on the XYZ application prototype. In the second stage, architecture decomposition, consisting of 3 activities, which were identifying system operations, identifying services using domain-driven design decomposition, and defining services and collaboration, was performed. In the third stage, database requirements analysis was performed on the microservice architecture that had been formed. In the fourth stage, the database design and microservice backend were implemented and tested using 3 different amounts of data, which were 56, 112, and 210, against 14 endpoints on both the prototype backend and the microservice backend. Based on the test results taken from the Apache JMeter Listener, it showed that the prototype backend showed superior performance in testing per endpoint, but in the overall test, the microservice backend showed better performance with a 2,4% faster response time, 1,8% higher throughput, and 2,4% lower latency. There is a pattern that shows the dominant microservice backend excels in tests with the last data, Data 210, in all metrics measured.
Topic Modeling and Sentiment Analysis of YouTube Podcast “Susahnya Jadi Perempuan” Using LDA and SVM Algorithms Satriyo, Levinda Caesarianty Putri; Hidayat, Muhammad Arief; Pandunata, Priza
INFORMAL: Informatics Journal Vol 9 No 3 (2024): 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.v9i3.51407

Abstract

Youtube Podcast “Susahnya Jadi Perempuan” which addresses feminist issues has garnered attention from viewers of Najwa Shihab Channel. In this digital era, sentiment analysis of audience response is needed to understanding public perception. Method that can used to determine discussion topics and analyze sentiments is using Latent Dirichlet Allocation and Support Vector Machine. Analysis of 10.979 comments using LDA identified two subtopics: discussion about the invented speakers and gender roles in daily life. Along with this, sentiment analysis using an optimized SVM (C=1, gamma=1, kernel=linear) which classified sentiments into Positive, Negative, and Neutral categories with an accuracy of 67%. The main challenge was the low recall value for Neutral sentiments classification. The results showed that in subtopic 0, there were 3.503 Negative sentiments, 3.255 Positive sentiments, and 822 Neutral sentiments. In subtopic 1, there were 1.485 Negative sentiments, 1.671 Positive sentiments, and 243 Neutral sentiments.
Rancang Bangun Sistem Penjualan Online Berbasis Android Menggunakan Metode UML Sadiah, Ashifa Halimatus; Voutama, Apriade
INFORMAL: Informatics Journal Vol 9 No 2 (2024): 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.v9i2.47832

Abstract

The rapid development of online shopping in Indonesia has encouraged business actors, including NICESO Store, to develop Android-based online sales applications that facilitate the transaction process for customers and simplify data management through e-commerce. To that end, NICESO developed a sales application that makes it easier for customers to search for and buy products without having to come to the store. This study itself uses the Quality Function Deployment (QFD) method to analyze consumer needs, as well as UML diagrams such as Use Case, Activity, Sequence, and Class Diagram to design the application. As a result, this application simplifies the process of ordering, paying, and tracking orders online with a simple and easy-to-use display. In conclusion, this sales application expands NICESO's market, simplifies online transactions, and helps stores in sales reporting.
Sentiment Analysis of Skincare Active Ingredient Topics using Latent Dirichlet Allocation and InSet Lexicon on Twitter Social Media Nuarie, Aurila; Adiwijaya, Nelly Oktavia; Dharmawan, Tio
INFORMAL: Informatics Journal Vol 9 No 3 (2024): 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.v9i3.46116

Abstract

The cosmetic industry, encompassing skincare, underwent a growth rate of up to 9.61%, as indicated by data from the Central Statistics Agency (BPS). With the ongoing expansion of the cosmetic sector, the production of products, particularly those featuring active ingredients in skincare, increased accordingly. Consequently, the utilization of these active ingredients witnessed an upward trend. Twitter data pertaining to active skincare ingredients was collected, forming a substantial dataset that required methods for analyzing topics and opinions.To identify latent topic information, topic modeling using Latent Dirichlet Allocation (LDA) was employed. Prior to conducting topic modeling, clustering was initially performed using K-Means to facilitate the categorization of the extensive dataset into more specific data groups. Subsequently, sentiment analysis was carried out using the InSet Lexicon. The research resulted in four clusters, each of which underwent topic modeling with LDA.Cluster 1 unveiled a topic focusing on the content of alpha arbutin, with sentiment results of 42.5% positive, 45% negative, and 12.5% neutral. Cluster 2 centered around the content of reinol and AHA BHA, with sentiment results of 41.36% positive, 46.99% negative, and 12.13% neutral. Cluster 3 delved into the content of salicylic acid and hyaluronic acid, with sentiment results of 40.57% positive, 42.62% negative, and 16.80% neutral. Lastly, Cluster 4 discussed the clay mask "Skintific" containing mugwort, with sentiment results of 41.67% positive, 43.94% negative, and 14.39% neutral.This research is anticipated to be beneficial and can be utilized by the skincare industry to update the company's business strategies.
Membangun Aplikasi Media Pembelajaran “JALIBOARD” Berbasis Augmented Reality Majid, Iqbal Abdul; Susanto, Fx. Guntur Putra; Fadlan, Nizar Izzuddin Yatim; Haryani, Prita
INFORMAL: Informatics Journal Vol 9 No 3 (2024): 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.v9i3.52260

Abstract

This research aims to build an Augmented Reality (AR) based "Jaliboard" learning media application by focusing on several problems that need to be overcome in the development of AR applications. The main problem faced is designing an attractive and entertaining application and explaining how to play to users. The method used by the author is the GDLC (Game Development Lifecycle) method which includes the concept design, design, implementation, testing, and deployment phases. In the concept design phase, the author makes an initial design of the AR game and compiles hardware and software requirements for making applications. The design phase involves making interface designs, usecase diagrams and application flow diagrams. Things such as assets, environment, AR markers, and finalization of the application are done in the implementation phase. The testing phase is carried out to ensure the quality of the application. The test results using blackbox testing show that the application can be run on three different devices namely Redmi Note 10, Samsung S8 and Redmi Note 11 and marker detection is successfully carried out at a certain distance, with a maximum detection distance limit of up to 30cm.. In the deployment phase, the app was launched with an effective marketing strategy through G-Drive. By applying GDLC and paying attention to the test results, the problems can be overcome by designing the application using a clear flow chart, as well as optimizing the content in the application.
Analisis Perilaku Konsumen Menggunakan Market Basket Analysis Pada Unit Usaha Koperasi As-Sakinah ‘Aisyiyah Jember Yanuarti, Rosita; Amiri, Yusril Izzi Arlisa
INFORMAL: Informatics Journal Vol 9 No 2 (2024): 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.v9i2.47926

Abstract

As an economic enterprise based on the interests and welfare of members, the business units that have been implemented by As-Sakinah Cooperative include providing and fulfilling the basic needs of members. Therefore, in 2012 As-Sakinah Cooperative established the Toko As-Sakinah business unit. This business unit aims to provide the basic needs of members, as well as the needs of Muhammadiyah, 'Aisyiyah and other organizations. Not only that, the As-Sakinah Cooperative business unit also acts as a place for marketing the products of the economic efforts of 'Aisyiyah members. The importance of consumer behavior analysis using market basket analysis on sales transactions of the As-Sakinah Store business unit is as a marketing strategy to increase sales transactions by looking at consumer behavior patterns towards the relationship between products based on purchase transactions made by members and other customers. In addition, the results of this market basket analysis can also be used for marketing strategies and data-based decision making. Market basket analysis or shopping basket analysis is an analysis of customer behavior in conducting buying and selling transaction activities. Shopping basket analysis produces findings of association or connection between one item and another, where these items are in one customer's basket. The results of this research indicate that with a minimum support value of 5% and a minimum confidence of 5% it produces 11 rules, where the pattern of associations between items found has a very high association tendency. The resulting association rules also show low variation, this is influenced by the small variation of transactions made by customers. From the rules generated, it can be seen that not many product combinations are obtained, this is because most of the sales transactions consist of only one product purchased by customers. So that the effectiveness of the application of market basket analysis in this cooperative is not optimal
Implementasi Firebase Pada Pengembangan Backend Aplikasi E-Commerce Sihalal Berbasis Mobile Harry, Soepandi; Andrianto, Anang; Binashrillah, Muhammad Farhan
INFORMAL: Informatics Journal Vol 9 No 3 (2024): 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.v9i3.52208

Abstract

A Indonesia has the largest Muslim majority population in the world, with a total of 237.53 million people as of December 31 2021, which means 86.9% of Indonesia's population is Muslim. The law requires businesses to register their products, such as food and drinks. Many applicants received by BPJPH were canceled because the raw materials used did not have halal certificates yet. Products that wish to have halal certificates are produced by MSE entrepreneurs who live in rural areas far from the city center based on the results of field surveys by the Halal Product Process Assistant (P3H). BPJPH seeks to solve theproblem by creating a digital e-commerce platform where users can buy and sell products, especially halal food and beverage raw materials, online. This research aims to produce a backend for SiHALAL using Firebase which is suitable for SiHALAL because it needs to handle large amounts of user, product andorder data and data must be updated in real time. This research uses Black Box Testing as application testing methods. Black Box testing results show that the application can carry out its functionality
Media Pembelajaran Edugame Arabic Berbasis Mobile Application Tri Heru, Ahmanto; Fahmi, Arif
INFORMAL: Informatics Journal Vol 9 No 3 (2024): 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.v9i3.46662

Abstract

Technological innovations are increasingly developing, making the world of educational media also developing, one of which is multimedia applications in the form of educational games. It is hoped that learning media can provide benefits to students so that their interest in learning increases. Arabic tends to be a scary language and is often disliked by many students because it seems difficult to learn. Apart from that, learning media that is still manual and monotonous often becomes a problem because it causes students to get bored. It is hoped that the digital learning media created can create an interesting and conducive learning atmosphere so that learning activities become enjoyable because of the availability of images and sound to facilitate the learning process. Arabic edugame is a learning media created using the SDLC (System Development Life Cycle) method with the waterfall model. Starting with analyzing, designing, coding and testing the application. Arabic edugame was designed using Adobe Flash Professional CS6, Adobe Photoshop, Corel Draw The results of the mobile application-based Arabic edugame learning media trial show that Arabic edugame has game theme features, an attractive design and can deliver the material well to attract students' interest in learning Arabic with an average of 57.61%.

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