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IJISCS (International Journal of Information System and Computer Science)

ijiscs
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Published by Institut Bakti Nusantara

ISSN : 25980793 EISSN : 2598246X DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

The IJISCS (International Journal of Information System and Computer Science) is a publication for researchers and developers to share ideas and results of software engineering and technologies. These journal publish some types of papers such as research papers reporting original research results, technology trend surveys reviewing an area of research in software engineering and technologies, survey articles surveying a broad area in software engineering and technologies. The scope covers all areas of software engineering methods and practices, object-oriented systems, rapid prototyping, software reuse, cleanroom software engineering, stepwise refinement/enhancement, ambiguity in software development, impact of CASE on software development life cycle, knowledge engineering methods and practices, formal methods of specification, deductive database systems,logic programming, reverse engineering in software design, expert systems, knowledge-based systems, distributed knowledge-based systems, knowledge representations, knowledge-based systems in language translation & processing, software and knowledge-ware maintenance, Software Specification and Modeling, Embedded and Real-time Software (ERTS), and applications in various domains of interest.

Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi

Articles 11 Documents

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Search results for , issue "Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)" : 11 Documents clear

STUDENT GRADUATION TIME PREDICTION USING LOGISTIC REGRESSION, DECISION TREE, SUPPORT VECTOR MACHINE, AND ADABOOST ENSEMBLE LEARNING Desfiandi, Ardhana; Soewito, Benfano
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i2.1579

Universities in Indonesia are working hard to improve the graduation rates of their students as it is considered a measure of success and quality in terms of accreditation. This study focuses on analyzing the effectiveness of machine learning algorithms, regression, Support Vector Machine (SVM) Decision Tree and ensemble learning, with AdaBoost wether the Computer Science students will graduate on time or not. The data used for this analysis consists of student records from 2015 to 2019. Includes 14 variables. To understand the relationships between these variables a two-dimensional visualization called a Heatmap was employed. The research findings indicate that the Support Vector Machine (SVM) and AdaBoost Decision Tree (DT) algorithm performs better than the other algorithms. The Decision Tree and AdaBoost (DT) model achieved an F1- score of 0,76 and 0,82. This research contributes towards enhancing education management by facilitating decision making to ensure timely graduation, for student

INTERNAL RESEARCH BUDGET PROPOSAL FEATURES DEVELOPMENT ON RESEARCH AND COMMUNITY OUTREACH SERVICES WEB-BASED INFORMATION SYSTEM AT PRIVATE CAMPUS Noveriyanti, Dea; Wiratama, Jansen; Permana, Angga Aditya; Wijaya, Santo Fernandi; Nugroho, Antonius Sony Eko
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1595

Service processes using conventional methods have many limitations and have the potential to result in data accumulation and repetitive work. Transforming a service model that initially used Linktree into an Information System has become necessary for the Research and Community Service Institute (LPPM) of Multimedia Nusantara University (UMN). One of the features developed is the budget Proposal of Internal Research service feature. The Agile Development Method, a renowned software development methodology, is used to optimize the feature development of the RCOS Information System. The development process is carried out by benchmarking, user interviews, and prototyping, following the stages contained in the Agile Development Method. The leverage of the Laravel framework and Tailwind CSS play a pivotal role in developing a website-based RCOS information system. The service model was successfully transformed using the RCOS feature, and the test results with the User Acceptance Test (UAT) show that the Budget Proposal of Internal Research features in the RCOS information system can function well following the UMN LPPM service needs.

DEVELOPING SALES FORCE AUTOMATION PROTOTYPE AT INDONESIAN FURNITURE TRADING COMPANY Oetama, Raymond Sunardi
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1537

Information technology plays a crucial role in enhancing company performance and driving business growth. Maintaining good customer relationships is essential, and Customer Relationship Management focuses on building customer commitment. Sales Force Automation systems automate sales processes and manage customer interactions. PT. Maju Jaya Kreasindo, a furniture company in East Jakarta, aims to automate its sales force and centralize operational information through a web-based Sales Force Automation system using Electronic Customer Relationship Management. The research adopts the "Prototyping" method, offering a shorter development duration and flexible implementation. Visual Studio Code and Xampp, along with PHP and MySQL, are utilized as development tools. The result is a Sales Force Automation system based on Electronic Customer Relationship Management that assists PT. Maju Jaya Kreasindo in automating its sales force. The design successfully automates tasks, supported by Electronic Customer Relationships and the prototyping method. The Sales Force Automation system passed the functionality evaluation, achieving high user acceptance test scores, and indicating its effectiveness in meeting user requirements.

DELEVOPING SALES INFORMATION SYSTEM USING THE PROTOTYPING METHOD IN INDONESIAN COFFEE SUPPLIERS Fadil Aulia, Hakan Syukur; Sutomo, Rudi
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1598

Coffee Suppliers is a business that sells items made from coffee beans to other businesses that sell processed coffee. This firm operates on a B2B model. Coffee Suppliers' current issues include the manual recording of all inventory items and sales transactions on paper, which increases the likelihood of data reporting inaccuracies. The prototyping approach, which is a step in constructing a system with the outcomes of analysis being directly applied using a model without having to complete the entire system, is utilized in this web development. Before designing UML diagrams and building databases, the initial build identifies user requirements. To create the necessary web, the system is created using the CodeIgniter framework. It is anticipated that the construction of a web-based system will assist Coffee Suppliers in managing their business, particularly in sales, listing, and reporting, thereby lowering the possibility of data.

GOOGLE PLAY STORE USERS COMMENT REVIEW CLASSIFICATION USING SVM CLASSIFIER AND RANDOM FOREST Hadiyasa, Muhammad Rafi; Isa, Sani Muhamad
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1584

In today's digital age, social media stands as a dynamic arena where individuals freely express their thoughts and opinions, from succinct tweets on Twitter to expansive narratives on platforms like Facebook and Instagram. However, amidst this vast sea of user-generated content, a glaring void persists a definitive rating system capable of distilling the nuanced sentiments embedded within these diverse commentaries. This study thus emerges as a pioneering endeavor, poised to bridge this crucial gap in sentiment analysis. Leveraging the transformative potential of the Word2vec methodology in the preprocessing phase, researchers embark on a comprehensive journey to classify comments on a meticulous 1-5 rating scale, thereby unraveling the multifaceted spectrum of sentiments encapsulated within them. Complementing this groundbreaking approach, the Random Forest classification model is harnessed to bolster the analytical prowess of the study. The resultant accuracy score of 60.4% stands as a testament to the study's significant strides towards achieving a deeper understanding of comment sentiment in the realm of social media. However, this is merely the inception of a promising trajectory; the study's findings hold the promise of not only refining sentiment analysis techniques but also revolutionizing diverse sectors, from market research to product development. With this study, the narrative of sentiment analysis transcends the confines of academia, beckoning forth a new era of nuanced comprehension and meaningful engagement within the sphere of social media commentary. As the study concludes, it leaves behind a compelling call to action, inviting further exploration and innovation in this dynamic field.

MOBILE WEB IMPLEMENTATION OF DETERMINING PERFORMING EMPLOYEES IN REGENCY HOTELS BY WEIGHTING THE SIMPLE ADDITIVE WEIGHTING METHOD Verawati, Verawati
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1757

Regency Hotel is a hotel located in Gadingrejo sub-district of Pringsewu Regency which has many employees. There are Dozens of Employees who work at Regency Hotels. Regency Hotel Management requires a System to find the best employees who are entitled to get rewards. need a system to determine the best employees. To avoid subjectivity, for this reason a system with accurate and precise calculation methods is needed. Here the author will design a decision support system to determine the best employees at the Regency hotel using the SAW method. The SAW method is a method used for a decision support system based on the required criteria. With this system, the best employee selection at Regency hotels is very precise and accurate without any subjectivity.

OPTIMIZING RPG PATHFINDING A HYBRID APPROACH FOR STATIC AND DYNAMIC OBSTACLE AVOIDANCE Gunawan, Renaldy Ari; Istiono, Wirawan
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1576

Playing a role The popular game genre known as "RPG" employs a pathfinding algorithm in its operation. The process of discovering a path from one place to another is called pathfinding. Pathfinding algorithms come in a variety of forms and are varyingly efficient. One of these methods is the A-star algorithm, which is frequently used in different games to determine routes and has actually been evaluated for efficiency. An additional algorithm to consider is the dynamic pathfinding algorithm, which is quite tiny for reference and not well-known. Combining these two techniques can result in an algorithm that avoids both static and dynamic barriers in addition to finding the fastest path. The two algorithms will be combined in this research, and two static and dynamic obstacle scenarios will be used for testing. According to the study's findings, the combination of these two algorithms enables the algorithm to avoid both static and dynamic obstacles. However, it should be noted that in the event of a dynamic obstacle, the Non-Player Character (NPC) will need to travel 3.04 seconds longer to reach their destination because they will need to find an alternate route.

OPTIMIZING RISK MANAGEMENT IN THE INSURANCE SECTOR: LEVERAGING THE COBIT 5 FRAMEWORK Pratama, Kenny; Fianty, Melissa Indah
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1591

A vehicle insurance company is grappling with a critical issue amid its efforts to integrate information technology into its operations. The problem revolves around the absence of documented procedures related to IT service management and infrastructure resources, impacting various operational facets, including business processes, staff management, applications, infrastructure, facilities, and vendor relationships. To address these concerns, the company has taken measures, including identification, analysis, control, and mitigation of IT-related risks. However, these measures have proven insufficient for optimal risk management, prompting the need for a comprehensive evaluation of their IT risk management capabilities. This assessment focuses on evaluating the implementation of IT risk management using a qualitative approach within the COBIT 5 framework. Specifically, it assesses the company's performance in two closely related processes: APO 12 (Manage Risk) for identifying IT-related risks and DSS 05 (Manage Security Services) for understanding the role of information security and monitoring security aspects. The assessment results indicate that the company's IT risk management capability is at level 3 (Established) for both processes. However, the company aspires to reach level 4 (Predictable) and improve their risk management. Furthermore, a critical discovery is the absence of Standard Operating Procedures (SOPs) related to data encryption, which is vital for information security. While some monitoring methods for information security service design have been effective, there is a need for enhanced data security through the development of encryption-related SOPs. The company plans to implement improvements based on COBIT 5 framework recommendations to achieve a higher level of risk management capability. These enhancements aim to better align IT-related risk management with the company's business objectives and improve the overall effectiveness of the processes.

A HYBRID ARIMA-MLP ALGORITHM USING ARIMA AND MLP TO IMPROVE ESTIMATION MODEL PERFORMANCE IN SOLAR RADIATION SENSOR DATA Syahab, Alfin Syarifuddin; Hermawan, Arief; Avianto, Donny
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1617

Ground-based solar radiation measurements help solar energy projects and applications. Various models have been developed to estimate solar radiation. Then, several additional models were created using improved machine learning. Currently, estimating solar radiation with the help of hybrid models is more efficient. In this research, the basic concepts of modeling procedures for hybrid between the Autoregressive Integrated Moving Average (ARIMA) and the Multilayer Perceptron (MLP) are used to improve the performance of the ARIMA and MLP models in estimating solar radiation data from a pyranometer sensor installed on the automatic weather station (AWS) at Stasiun Klimatologi Daerah Istimewa Yogyakarta. The test results of the estimation model based on the coefficient of determination (R2) value and root mean square error (RMSE) show that the ARIMA model can provide a high coefficient of determination value in each data splitting scenario. The MLP estimation model shows a coefficient of determination value that is lower than the ARIMA model. On the other hand, MLP is able to improve the RMSE value in the ARIMA model in 70:30 and 90:10 splitting data. Furthermore, the ARIMA-MLP hybrid estimation model is able to improve the RMSE value of the ARIMA and MLP models even though the coefficient of determination value is not as good as the ARIMA model. This research shows that the ARIMA-MLP hybrid model is able to contribute to increasing the accuracy value in RMSE compared to the ARIMA and MLP models in estimating solar radiation sensor data.

EXPERIMENTAL STUDY ON THE USE OF SHARP INFRARED SENSOR FOR DISTANCE DETECTION IN PARKING ASSISTANCE APPLICATIONS IN AUTOMOTIVE SYSTEMS Paramasatya, Johanes Dimas; Saputri, Fahmy Rinanda
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 3 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i3.1593

In this study, experiments were conducted on the implementation of the Sharp Infrared Sensor, specifically the Sharp 0A4ISK model, for distance detection in parking assistance applications within automotive systems. The increasing complexity of modern vehicles and the need for enhanced parking safety have prompted the exploration of innovative sensor technologies. In this research, we focused on the application of the Sharp Infrared Sensor to improve parking assistance systems. The study involved calibration, testing, and performance evaluation of the sensor on a laboratory scale. The methodology included the design of electronic component circuits and program development. Subsequently, testing of the sensor's ability to accurately detect distances between a miniature vehicle and a wall was performed. The research results indicate that the Sharp Infrared Sensor offers the ability to detect distance, thus holding the potential for integration into automotive systems.

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Editor IJISCS (International Journal of Information System and Computer Science) Bakti Nusantara Institute Street Wisma Rini No.09 Pringsewu, Lampung Phone: 0729-22240

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Contact Name Muhamad Muslihudin

Contact Email ijiscs@ftikomibn.ac.id

Phone +6272922240

Journal Mail Official ijiscs@ftikomibn.ac.id

Editorial Address Editor IJISCS (International Journal of Information System and Computer Science) Bakti Nusantara Institute Street Wisma Rini No.09 Pringsewu, Lampung Phone: 0729-22240

Location Kab. pringsewu, Lampung INDONESIA

Abstract

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Contact Name
Muhamad Muslihudin

Contact Email
ijiscs@ftikomibn.ac.id

Phone
+6272922240

Journal Mail Official
ijiscs@ftikomibn.ac.id

Editorial Address
Editor IJISCS (International Journal of Information System and Computer Science) Bakti Nusantara Institute Street Wisma Rini No.09 Pringsewu, Lampung Phone: 0729-22240

Location
Kab. pringsewu,

Lampung

INDONESIA