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INDONESIA
Jurnal Mandiri IT
Published by Institute of Computer Science
ISSN : 23018984     EISSN : 28091884     DOI : https://doi.org/10.35335/mandiri
Core Subject : Science, Education,
Computer Science & IT Library & Information Science Mathematics
The Jurnal Mandiri IT is intended as a publication media to publish articles reporting the results of Computer Science and related research.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 6 Documents
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Search results for , issue "Vol. 12 No. 4 (2024): April: Computer Science and Field." : 6 Documents clear
Evaluating the user experience of online transportation applications with the UEQ approach to people's lifestyles Ali Amran; Yogi Arditya Candani Putri; Putri Rahayu Susmawati; Rida Nur Aulita; Astutik Astutik; Yaumul Fitria
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.256

Abstract

This study was conducted to evaluate the user experience of online transportation applications using a user experience questionnaire aimed at the society lifestyle. The study makes reference to the following user evaluations: novelty, attractiveness, clarity, efficiency, and stimulation. This kind of study is known as quantitative research, and it looks at the issue of user experience in relation to society's lifestyle. data gathering through the distribution of questionnaires. Tables and graphs are used to display the descriptive analysis and presentation of the data. The lifestyle variable was positively and significantly impacted by the user experience variable, according to the results. As a result, the proprietor of the online transportation program has the ability to modify its features.
Quality of Service (QoS) Analysis using Wireshark on the LAN Network at An Najiyah High School Surabaya Mas Nurul Hamidah; Rahmawati Febrifyaning Tias; Rifki Fahrial Zainal
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.273

Abstract

In the realm of information technology, Indonesia has entered the fourth generation, or 4G, which is a fast, widely available internet network that can be used to advance a variety of industries, including the agricultural, social, cultural, economic, and even educational ones. Additionally, from 2020 to the beginning of 2022, you will need to be connected to the internet in order to stay productive during the Covid-19 virus outbreak. This is especially true for the education sector, since online teaching and learning activities are essential for maintaining productivity. An Najiyah Surabaya High School needs reliable internet access in order to provide better support for its online learning students. An Najiyah High School Surabaya employs QOS (Quality of Service) to monitor network quality and data traffic transferred over the network. Three QoS parameters—packet loss, throughput, and delay—will be used in this research's analysis. concentrate on keeping an eye on the local area network (LAN); the value is then retrieved following the network's monitoring. When text data transmission on a LAN network was tested, the results indicated that the network quality at SMA Na Najiyah Surabaya was very good, with values of 2.6 Mbps for throughput, o% packet loss, and 0% and 0.12 ms delay.
Application of association rule for prediction of menu ordered at café minapadi Fikri Zain Hidayatullah; Sarif Surorejo; Wresty Andriani; Gunawan Gunawan
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.279

Abstract

This research aims to develop a predictive model that helps prepare menus based on customer preferences at Café Minapadi, hoping to improve operational efficiency and customer satisfaction. Using rule-association data mining techniques, the study uncovered hidden patterns in extensive transaction data, applying a priori algorithms in datasets to explore menu ordering frequencies and trends. Data analysis includes cleansing, transforming, and selecting features to generate relevant insights. The results found that items such as coffee and chocolate cake were often purchased together, providing an opportunity for menu optimization and special promotions. Evaluation of predictive models shows the possibility of increased accuracy in stock preparation and adjustment of menu offerings, providing significant benefits in business decision-making in the culinary sector.
Application of expert system using certainty factor method to identify diseases in rice plants Isni Azmi; Gunawan Gunawan; Sawaviyya Anandianskha
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.280

Abstract

This article explores the application of expert systems using certainty factor methods for disease identification in rice crops, highlighting the importance of information technology integration in agriculture. The study aims to develop a system that allows quick and accurate identification of rice disease, using certainty factor methods that are effective in dealing with data uncertainty. This study used a quantitative approach with a quasi-experimental design. The results indicate an effective system for identifying diseases, with significant implications for supporting farmers and improving food security. Suggestions for future research include system integration with mobile applications and real-time data analysis to improve system accessibility and applicability in modern agricultural practices.
Application of apriori algorithm to find relationships between courses based on student grades STMIK YMI Tegal Muhamad Nur Hassan; Gunawan Gunawan; Zaenul Arif
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.281

Abstract

This research explores the application of the Apriori algorithm to investigate the relationship between courses based on student grades at STMIK YMI Tegal. This research focuses on analyzing the relationship between courses to support curriculum development that is responsive and relevant to industry needs and improves the quality of learning. The main objective of this research is to identify and understand relationship patterns between various courses based on student analysis scores using the Apriori algorithm, an effective data mining methodology for uncovering association rules between items in large datasets. By using a quantitative approach and quasi-experimental design, this research succeeded in analyzing grade data from various semesters, identifying combinations of courses that often appear together with high grades, indicating a positive correlation between related courses. The results of the analysis reveal that several basic courses play a significant role in forming a strong foundation for advanced courses, highlighting the importance of a capable curriculum structure. Although the lift scores show a neutral relationship, these findings provide important initial insights for further understanding of interactions between courses. The implication for curriculum development is the need to emphasize the integration of courses that have positive relationships to support a coherent learning process and increase student success.
Web-Based home marketing information system at CV Abah Ipin using Php and Mysql Moh. Didi Rahman; Surono Surono
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.282

Abstract

CV Abah Ipin is a company engaged in the construction and marketing of houses in tegal district. In marketing activities, CV Abah Ipin still uses conventional methods, namely printing and distributing brochures. Conventional marketing techniques are inefficient because they are unable to reach a large enough number of potential customers. In addition, conventional marketing techniques are inefficient because they require a lot of money to produce promotional materials such as brochures. In order to build a web-based home marketing information system for CV Abah Ipin, the author examines these problems as a solution to the problems of traditional marketing that are deemed inefficient and unsuccessful. The technique employed in this design is Waterfall with UML tools, also using MYSQL functions as a database and the PHP programming language helps develop websites. The design of this house marketing information system will produce a web that is expected to be a way to increase the effectiveness and efficiency of CV Abah Ipin's property marketing.

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