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ITIJ
Published by Universitas Pembangunan Nasional Veteran Jawa Timur
ISSN : -     EISSN : 30253152     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Information Technology International Journal (ITIJ) is international referred journal with the objectives to explore, develop, and elucidate the knowledge of Information Technology, to keep practitioners and researchers informed on current issues and best practices, as well as serving as a platform for the exchange of ideas, knowledge, and expertise among technology researchers and practitioners.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 1 (2024): Information Technology International Journal" : 5 Documents clear
Analysis UX Design e-Commerce "Key Kaos" with Lean UX Dwi Prasetyo, Edi; Khoir Alhaq , Ahmad
Information Technology International Journal Vol. 2 No. 1 (2024): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v2i1.10

Abstract

This research explores the evaluation of User Experience (UX) design at the Key Kaos online store using the Lean UX approach. Key Kaos online store required user-centered design to increase customer satisfaction and drive engagement. This study integrates Lean UX principles to simplify the design process, encourage collaboration, and rapid iteration.The research methodology includes a combination of user feedback, usability testing, and iterative prototyping, which aligns with the Lean UX framework. Through this iterative process, this research aims to identify key weak points and areas of improvementin the existing UX design of the Key Kaos online store. These findings are expected to provide valuable insights in increasing user satisfaction, improving usability, and optimizing the overall user journey in the market.Additionally, this research explores the impact of Lean UX on cross-functional collaboration, aiming to identify how Lean UX facilitates communication and collaboration between designers, developers and other stakeholders. By assessing the effectiveness ofLean UX in the context of Key Kaos, this research contributes to a broader understanding of its application in the market environment.The expected outcomes of this research include actionable recommendations to improve the UX design of Key Kaos online stores, ultimately contributing to market success by creating a more user-friendly and efficient platform. Additionally, research insightsregarding the application of Lean UX principles can inform future efforts in marketplace UX design, offering a valuable reference for designers and researchers looking to optimize user experiences in online marketplaces.
Long Short Term Memory Method and Social Media Sentiment Analysis for Stock Price Prediction Mas Diyasa, I Gede Susrama; Mustika, Agung; Amanullah , Nurkholis
Information Technology International Journal Vol. 2 No. 1 (2024): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v2i1.13

Abstract

The stock market is a complex arena of interest yet uncertainty. Trading stocks, binaries, gold, and bitcoin is growing in popularity, but is prone to price fluctuations influenced by economic and political factors. Social media, particularly Twitter, is where views on companies are shared. Social media sentiment analysis can provide additional insights to evaluate potential future stock price movements, preventing unwanted speculation. The purpose of this research is to develop a Tesla stock price prediction model by integrating the Long Short-Term Memory (LSTM) method and social media sentiment analysis from Twitter to improve prediction accuracy. Stock price data is obtained from Kaggle and Twitter sentiment data is processed through pre-processing. Evaluation values such as Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) are lower in the model with sentiment indicating the ability of the model to more accurately model the dynamics of stock price movements. Lower MSE and RMSE indicate that the model's predictions are closer to the true values, and therefore, the model can be considered more reliable in projecting future stock price changes. These results provide support for the use of Twitter sentiment analysis as a useful source of additional information in improving the prediction accuracy of LSTM regression models in the context of stock market analysis
The Possibility Prediction of Inheriting Blood Types in Parents Based on The Child's Allele Combination Adi Nugroho, Afrizal; Salsa Billa, Aidha; Mochamad Fabian, Reyhan; Munawir, Munawir; Taufik Dwi Putra , Muhammad
Information Technology International Journal Vol. 2 No. 1 (2024): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v2i1.14

Abstract

The application of predicting the likelihood of blood group inheritance in children based on allele combinations from parents is becoming increasingly relevant. Understanding the combination of alleles that may appear in offspring can provide better insight for individuals and couples in planning families. The existence of an application to predict a child's blood type by using program development to form a family tree based on blood type can provide a clear visual picture of the inheritance of blood type from generation to generation. The purpose of this research is to identify allelic combinations of certain genes that affect a person's blood type and analyze how genetic inheritance occurs from parents to children. This study proves that we can see the likelihood of blood type inheritance of a child by looking at the allele combinations of both parents. This concept can be explained using the concept of a family tree (Tree). By using the Tree concept, we can easily visualize the inheritance of blood groups based on alleles, and facilitate the understanding of the formation of allele combinations that occur in the genetic inheritance process.
Enterprise Resource Planning (ERP) Design Using TOGAF ADM and ACMM (Case Study: PT XYZ) Triyanto, Triyanto; Supriyanto, Aji
Information Technology International Journal Vol. 2 No. 1 (2024): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v2i1.16

Abstract

Enterprise Resource Planning (ERP) is software used by companies to unite and manage information from various parts of the company, or a tool that integrates all aspects of business in a company. However, in order to support the operations of PT XYZ, it has not implemented an Information System in its business activities. In order to support the smooth running of business processes at PT XYZ, it is necessary to design a structured Information System with good planning using the TOGAF ADM framework. Before starting the design, the researcher evaluated the maturity level of PT XYZ by comparing the current condition with the desired one using the Architecture Capability Maturity Model (ACMM). The results of this evaluation were recommendations for an ERP architecture that was adapted to PT XYZ's business processes, including business architecture, data, applications, and technology that have reached their respective level 3 maturity levels.
Analysis of Factors Affecting Minimum Salary of Workers in Indonesia Using Binary Logistic Regression Hadi, Surjo; Renaldi, Sahat; Trimono, Trimono; Susrama Mas Diyasa , I Gede
Information Technology International Journal Vol. 2 No. 1 (2024): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v2i1.20

Abstract

Salary is an important indicator used to measure the compensation and recognition individuals receive for their contributions to the workforce. Investigating the factors that influence salary levels is an intriguing research area. This study uses a logistic regression approach to analyze the relationship and influence of job field, job level, company location, and tenure on workers' salaries in Indonesia. The research findings reveal that the variables of job level and company location have a significant relationship with the minimum salary level received by workers. Based on the logistic regression modeling results, the variables that influence the minimum salary level are the company location (foreign) and average tenure

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