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Journal : Intelmatics

Dashboard Design for New Employee Candidate Program at XYZ Bank Using Tableau Winona, Aisyah Vasthi; Siswanto, Teddy; Sugiarto, Dedy
Intelmatics Vol. 4 No. 1 (2024): Januari-Juni
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/itm.v4i1.17654

Abstract

Bank XYZ is a government-owned company engaged in the banking sector, requires data and information support to support decisions to be taken by Company leadership because the current system requires a fairly long process in presenting the supporting data. So this research aims to design a dashboard to make it easier for management to obtain important information for decision making. The research methodology uses a flow starting from problem identification, needs analysis, raw data acquisition, OLAP design, ETL process and visualization. This research uses Pentaho tools to carry out the ETL process and Tableau tools to create dashboards. Based on the OLAP design of this research, a fact table for the distribution of ODP and a dimension table consisting of location, trip, city, start date, end date, class, gender, university and major were formed. As a result of this research, the design that has been made means that dashboard users/managers can anticipate or detect early delays in the process of making a rundown for the next stage of the journey, users/managers of the dashboard can anticipate or detect early delays in the process of making a rundown for the next stage of the journey, can find out about universities and the most study programs for more precise decision making, and has a data filtering feature which is useful for searching for certain data more quickly so that the decision making process can be supported by the information produced.
Design of Study Program Performance Dashboard using Streamlit Ilham, Moch Ilham A; Siswanto, Teddy; Sugiarto, Dedy
Intelmatics Vol. 4 No. 2 (2024): Juli-Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v4i2.20643

Abstract

To achieve certain performance goals, such as increasing the integration of study program performance data from various sources, such as student data, lecturers, curriculum, research, and so on, a performance dashboard is needed to monitor the performance of lecturers, students and curriculum to be more efficient. In this study, a dashboard was created with streamlit where the data was taken from the web scraping method. By utilizing the data visualization capabilities owned by Streamlit, study program performance information can be presented in the form of graphs, diagrams, or tables that are easier to understand and interpret.
Implementation Enterprise Resource Planning (ERP) ODOO Version 15.0 Manufacturing Module at CV. Razzaq Berkah Mulia Setiawan, Ibnu Fajar; Siswanto, Teddy; Sugiarto, Dedy
Intelmatics Vol. 4 No. 2 (2024): Juli-Desember
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v4i2.21073

Abstract

In the modern era, digitalization has had a significant impact on various business fields, with technology being the main key in fascilitating company performance. Digitalization of company systems is now an obligation, data integration is essential for analysis that supports company progress. ERP is software that simplifies company operations by integrating various business application modules such as Inventory, Accounting, Sales, Point of Sales, Manufacturing, Contact, Website, and Purchasing. CV Razzaq Berkah Mulia, which has the potential to compete with international furniture companies, has not fully adopted information systems in its management. This lack of digitalization can lead to losses and recording errors that hinder their business performance. An optimized and valid implementation of Odoo ERP is essential to improve the quality and operational efficiency of CV Razzaq Berkah Mulia. This Implementation will go through several phases, namely Discovery and Planning, Design, Development, Testing, Deployment, and Support. At the Discovery and Planning stage, the company needs will be identified and an implementation strategy will be planned. The Design stage will design the system as per requirements, while the Development Stage will involve the creation and configuration of the system. At the testing stage, the system willl be tested to ensure its functionality, and the Deployment stage will involve launching the system into the operational environtment. Finally, the Support stage will provide post-implementation support.  The final result of this development can be accepted and implemented for the implementation of Odoo at CV. Razzaq Berkah Mulia through UTAUT with a satisfaction value of Performance Expectancy 88%, Effort Expectancy 88%, Supporting Facilities 88,4%, Facilitating Conditions 91%, Attitude Towards Technology 89,2%, Behavioral Intention 90,8%.
Sentiment Analysis And Topic Modelling Of Candidate News In The 2024 General Election On Twitter Social Media Using Latent Dirichlet Allocation (LDA) Method Ramadhan, Syahrul; Siswanto, Teddy; Sari, Syandra
Intelmatics Vol. 5 No. 1 (2025): January-June
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v5i1.21058

Abstract

The use of Twitter as a platform to express public opinion regarding fuel subsidies in Indonesia. Through sentiment analysis using Support Vector Machine method and word-based lexicon, this study reveals that the majority of people are in favour of fuel price increase or subsidy policy change. The sentiment data obtained from this research, which includes positive, neutral and negative sentiments, provides a clear picture of the public's views on the issue. SVM classification method and validation with K-Fold Cross Validation were used to ensure the accuracy of sentiment analysis results obtained from Twitter data. This research is also expected to help society to gauge public opinion on news and candidates in elections. It helps understand how people respond to certain political issues and candidates and the results of sentiment analysis and topic modelling can provide a better understanding of the key issues that matter to voters. This can help candidates and political parties to craft more effective campaign messages and can also be used to detect hoaxes or false information that may spread on social media during elections. This is important for maintaining the integrity of the election.
Development of a Web-Based Tourist Bus Rental Application at PO Tali Jaya Firmansyah, Aldy; Siswanto, Teddy; Santoso, Gatot Budi
Intelmatics Vol. 5 No. 1 (2025): January-June
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v5i1.21096

Abstract

Advancements in information and communication technology have revolutionized the transportation sector, including bus services provided by PO Tali Jaya in Cilegon, Banten. The main challenge faced is efficiently managing bus rentals, organizing customer data, managing rental reports, and improving service levels. This study proposes the use of a web-based bus rental application to enhance efficiency and service. Through interviews with customers and management, this system is designed to streamline the bus booking process and provide better operational access. The research references transportation management theory and web system development to meet industry standards. By utilizing the waterfall methodology with stages such as requirement system, analysis, design, coding, testing, and maintenance, a comprehensive and organized system is created. The final result is a web-based bus rental application with comprehensive features such as a calendar schedule for each bus, digitalized rental data archiving, and well-structured rental financial reports. It is expected that implementing this system will improve operational efficiency, simplify rental transaction data management, provide better services, and serve as a model for other transportation companies.
The Design of a Revenue Dashboard for the Operational Division of PT XYZ Using the Kimball Four-Step Method Arisandi, Debi; Siswanto, Teddy; Salim, Agus
Intelmatics Vol. 5 No. 2 (2025): July-December
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v5i2.23716

Abstract

The rapid development of information technology drives the need for effective and efficient decision-making systems, particularly in the business world. This study aims to design a dashboard integrated with the operational division system of PT XYZ to address issues of slow decision-making processes. The dashboard is designed using the Online Analytical Processing (OLAP) for Step Kimball method, enabling multidimensional data analysis.The design process includes several stages: identifying requirements, designing a data warehouse based on the Kimball method, processing data using OLAP, and visualizing data with Tableau. The data utilized comprises critical information from the operational division, such as company profiles, contracts, collections, revenue, and credit scores. The results demonstrate that the designed dashboard effectively provides relevant information to support fast and accurate decision-making needs. The implementation of this dashboard is expected to improve operational efficiency and provide better strategic insights for PT XYZ.