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Intelmatics
Published by Universitas Trisakti
ISSN : -     EISSN : 27758850     DOI : https://doi.org/10.25105/itm
Core Subject : Science,
Computer Science & IT
The IntelMatics Journal is a scientific journal published by the department of informatics engineering at Trisakti University. The purpose and objective of the publication of the IntelMatics journal are as a means of dissemination of international standard science in the field of software engineering, information security, and business analysis in the scope of data intelligence and visualization. Journal will be published every sixth month
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 72 Documents
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Implementation of Trend Analysis to Fulfill Needs of Consumer Housing with Least Square Method Anggara, Denny; Pratiwi, Dian; Rochman, Abdul
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.v4i1.17495

Abstract

In this era there are a lot of real estate that stands with attractive prices, facilities and home designs. Real Estate is a land and buildings on it and arranged in an orderly manner. With the rapid growth of society, it is very influential in buying ready-to-live houses that match the criteria and prices they want. However, many people have difficulty in finding a house ready to live in that fits the criteria and price range they want. Therefore, by making the Trend Analysis Application for Ready-to-occupy Houses, it can provide alternative choices to users according to the criteria that buyers want, such as having a garage, garden, building area, having how many floors and so on as well as the price they want. This application was developed using the Least Square Method Trend Analysis Method for datasets of ready-to-occupy houses collected from one housing estate agency. The steps carried out by the researchers started from collecting housing data, then the data was processed using the least square method with R- studio tools and then formulated into the PHP programming language to become a web program. After the web program was successfully built, researchers conducted a survey to determine the level of user satisfaction with the application, which was 77.8% of the 18 survey participants. Based on the presentation, it can be concluded that this research is feasible in providing home recommendations for customers.
Sentiment Analysis from Twitter Regarding E-SIM Services by Smartfren Using the Naïve Bayes Classifier Method Bintang Sarrang, Jhody; Zuhdi, Ahmad; B Ariwibowo, Anung
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.v4i1.17620

Abstract

Smartfren is a provider of internet, mobile phone, and Android-IOS smartphones that offers faster and more affordable services in Indonesia. E-SIM is a digital SIM that enables the activation of cellular packages from network operators without the need for a physical nano-SIM. Smartfren provides E-SIM services, making it the first provider to offer this service. Consequently, numerous tweets discussing this provider have emerged, resulting in a substantial amount of Twitter data related to Smartfren. This data can be leveraged for sentiment analysis. However, the tweets often contain ambiguous or unrevealing information, making them challenging to be properly classified, especially when using the Naïve Bayes Classifier as the classification method, as observed in previous studies. Nevertheless, employing appropriate methods can generate highly valuable insights for relevant stakeholders. This research aims to analyze public opinion regarding the services provided by Smartfren, using the Naïve Bayes Classifier method. The study is intended to provide comprehensive analytical results for the related provider, allowing for a thorough understanding of the sentiment analysis. Keywords : Sentiment Analysis, Smartfren, Naïve Bayes
Analysis of The Sentiment of Indonesian Presidential Candidates for 2024 on The YouTube Social Media Platform using The Support Vector Machine Method Wahyudi, Adhi; Santoso, Gatot Budi; Sholihah, Binti
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.v4i1.17636

Abstract

Indonesia is a country led by a president. The term of office of a president will be democratically elected every five years. The current president will end his term of office in 2024. So that in that year, the people will hold direct general elections to determine the president between 2024 and 2029. Before the general elections are held in Indonesia itself, it is closely related to the campaigns of each presidential candidate carried out by their supporters. Campaigns are usually carried out directly to village locations and social media Twitter/Facebook/YouTube. This study aims to analyze the sentiment of comments on the YouTube platform for three Indonesian presidential candidates, Anies Baswedan, Ganjar Pranowo, and Prabowo Subianto in the context of the 2024 PresidentialElection.. Indonesia is a nation led by a president, with the presidential term lasting five years, determined through democratic elections. The incumbent president's tenure will conclude in 2024. Consequently, during that year, citizens will participate in a direct general election to select the president for the 2024- 2029 period. Prior to the domestic general elections, there is a strong link to the campaigning efforts of each presidential contender, which are conducted by their respective supporters. Campaign activities typically extend to rural areas and popular social media platforms such as Twitter, Facebook, and YouTube. This research aims to assess the sentiment of comments on the YouTube platform regarding three potential Indonesian presidential candidates: Anies Baswedan, Ganjar Pranowo, and Prabowo Subianto. This analysis takes place in the context of the upcoming 2024 Presidential Election.
A Web-Based Boarding Management Application Design Maulana, Muhamad Anggi; Syaifudin; Sari, Syandra; Najih, Muhammad
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.v4i1.17649

Abstract

In Indonesia, the rental business of temporary accommodations or boarding houses ('kost') has significantly grown due to the influx of individuals from various cities or regions seeking temporary residence for educational pursuits, work, entrepreneurship, or marriage. Boarding house owners often manage not just one or two rooms but can have dozens or even hundreds of rooms. This extensive scale makes it challenging for boarding house owners to efficiently handle payment data, accurately record information, and report room damages using conventional methods. To address these challenges, an application was developed to streamline data management for boarding house owners, enabling them to efficiently manage their businesses. The data collection methods employed for developing this application included observation, interviews, and literature review, following the waterfall model for software development. The obtained results from this application development facilitate better service management for boarding house owners, enhancing cost and time efficiency while improving the quantity and quality of managed information.
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 Book Donation Information System for the Bogor Reading Garden Community Rivaldi, Fazar; Lestari, Mei; Parwati, Ni Wayan
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.v4i1.17962

Abstract

The Design of Community Administration Information System: A Case Study of Bogor Reading Garden Community. The research aims to streamline the data management and reporting processes for improved accuracy and enhanced organization through a computerized system. The designed system is integrated into a database. The chosen research method is Research and Development, a deliberate, systematic approach aimed at discovering, formulating, improving, developing, generating, and testing the effectiveness of superior, novel, efficient, productive, and meaningful products, models, methods/strategies, services, and procedures. By crafting the 'Design of Book Donation Information System for the Bogor Reading Garden Community' using Java Netbeans, it is anticipated to assist the secretarial department in administration processes and facilitate the creation of reports.
User Interface User Experience Design with User Centered Design Method On Mobile Application For Laundry KK Reservation Lazuardy, Mika Aufasyah; Marie , Iveline Anne; Salim, Agus
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.v4i1.18228

Abstract

 Laundry KK is a business that offers kilogram laundry services established since November 2007, located at Jl. Kejaksaan No. 229A, Pondok Bambu East Jakarta, which provides several services such as dry cleaning, dry cleaning + ironing, bedsheet washing, and shoe cleaning. Currently, the service booking process at Laundry KK is still done manually, where customers have to visit the location to place their laundry orders. With the manual method, there are often issues such as missing or damaged laundry receipts, clothes being mixed up or lost due to transaction recording errors, and the business owner being unable to effectively track the transactions in the business. This research proposes the development of a user interface user experience (UI/UX) to simplify the process for the owner and users of Laundry KK services in creating an attractive interface design that captures the attention of consumers, providing an engaging user interface that makes it easy and interactive to book Laundry KK services. The end result of this research is the Prototype of the Laundry KK Ordering Application created using Figma, with the content features, menus, buttons, and text using the "Roboto" font. The design results were then subjected to a final evaluation with an average SUS score of 87.75, rating it as "Best Imaginable."
Implementation of Security Information & Event Management (SIEM) Wazuh with Active Response and Telegram Notification for Mitigating Brute Force Attacks on The GT-I2TI USAKTI Information System Farrel, Farhan Ibnu Farrel; Is Mardianto, S.Si, M.Kom; Ir. Adrian Sjamsul Qamar, MTI
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.v4i1.18529

Abstract

In an era of widespread information system usage across various sectors, digital threats to organizations have become increasingly significant. These threats have the potential to disrupt operations and result in substantial financial losses. One enduring threat is brute force attacks, which exploit human tendencies to use easily remembered passwords. By utilizing The Security Lifecycle Methodology, this research aims to identify an efficient and cost-effective solution to enhance information system security and continuously evaluate the implemented solution rather than stop right after the policy or solution implementation. The study proposes the utilization of the open-source Security Information and Event Management (SIEM) platform, Wazuh. When combined with the Active Response feature, this platform not only detects security threats but also automatically takes mitigating actions against detected attacks. Additionally, the integration with the Telegram messaging application streamlines the SIEM monitoring process, making it more practical and efficient. After implementation, the testing phase confirms the effectiveness of the implemented solution as the Wazuh SIEM is able to detect 100% of brute force testing scenarios in multi- protocol attacks with an average of 80,51 seconds time required to detect brute force attacks with a 1-second interval between attack, 172,18 seconds for 10-seconds attack interval, and 434,58 seconds for 30-seconds attack interval. The active response can mitigate 100% of the detected brute force attack with only 0,51 seconds time required between detection and mitigation action taken. The implemented telegram integration successfully sends all the notifications on time to Telegram Chat by utilizing Telegram API.
A Investigation of Bad Credit in P2P Lending Based on Personal Character in Indonesia Famela, Febby; Apriliyant, Rizky Suci
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/v4i1.19697

Abstract

This research examines Indonesian P2P lending and bad loan management by analyzing borrower characteristics. The large value of problematic loans is a key signal for this investigation. The Big Five Personality Approach is used to survey P2P lending users. This study solely examines if the Big Five personality traits affect evaluation. On March 5–18, 2023, 17 P2P lending sites gathered data from 197 respondents for two weeks. Data validation continued until 11 respondents were pruned. The remaining 186 respondents' data was evaluated using SPSS. The management process yielded two hypothesis tests, the T-test and the F-test, which showed that the Big Five personality significantly affects present assessment activities. F-Test findings show the Big Five Personalities have a big impact concurrently. These two factors suggest that the Big Five Personalities may evaluate decision support systems for borrower recommendations.
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.

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