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All Journal International Journal of Electrical and Computer Engineering Pixel : Jurnal Ilmiah Komputer Grafis Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknologi Informasi dan Komunikasi Journal of Technology Informatics and Engineering Scientific Journal of Informatics International Journal of Graphic Design
Wibowo, Mars Caroline
Universitas Sains Dan Teknologi Komputer
Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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Utilizing phpMyAdmin for System Design in Enterprise Administration Wibowo, Mars Caroline; Wijanarko Adi Putra, Toni
Journal of Technology Informatics and Engineering Vol. 3 No. 2 (2024): Agustus : Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v3i2.193

Abstract

In today's digital landscape, effective data management is essential for organizations, particularly small and medium-sized enterprises (SMEs) that often struggle with traditional manual methods, leading to inefficiencies and data inaccuracies. This research aims to investigate the implementation of phpMyAdmin, a web-based database management tool, to enhance administrative systems within SMEs. The study employs a mixed-methods approach, integrating qualitative case studies and quantitative surveys to gather comprehensive insights into user experiences and operational performance. The findings reveal that the adoption of phpMyAdmin significantly improves data management efficiency, with 75% of respondents expressing satisfaction with its user-friendly interface. However, challenges such as security vulnerabilities and the necessity for user training were also identified, indicating that while phpMyAdmin offers substantial benefits, organizations must address these issues to fully leverage their capabilities. The implications of this research suggest that SMEs should prioritize investing in user training and implementing robust security measures to mitigate risks associated with data management. By doing so, organizations can enhance their operational efficiency and decision-making processes. Future research should focus on the long-term impacts of phpMyAdmin and explore its integration with other management systems to further optimize organizational performance.
Characterization Of Composition Error Summary Using Machine Learning Techniques And Natural Language Processing Mars Caroline Wibowo; Budi Raharjo
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 16 No. 1 (2023): Vol 16 No 1 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i1.1885

Abstract

As software technology becomes more complex, software maintenance costs become more expensive. In connection with this, the development of software engineering makes the software system has many Composition choices that can be adjusted to the needs of the user. Error fixing involves analyzing Error Summary and modifying code. If bug-fixing steps are made as efficiently and effectively as possible then maintenance costs can be minimal. The purpose of this research is to establish a tool of machine learning for identifying Composition Error Summary and to find out the types of special Composition choices that can be used to save costs, time, and effort. In this study, the T-test was applied to appraise the analytical implication of conduct metrics when the “F-test” was taken to the Variance’s test. Classifiers used in this study are “All words” or “AW”, “Highly Informative Words” or “H-IW”, and “Highly Informative Words plus Bigram” or “H-WB”. Identical validation and Vexed validation techniques were used to calculate the effectiveness of machine learning tools. The results of this research denote that the instrument is competent for definitive Composition Error Summary and other Composition choices for definite Error Summary. This research determines the practicality of machine learning techniques in corrective issues relevant to Error summary. The result of this study also explained that Composition/non-Composition Error Summaries have contrasting aspects that can be accomplished by machine learning devices. The advanced tool could be upgraded in some areas to create it more powerful. The array identification section of the current study has limitations, an array with different words and Composition recognition tools tend to prefer Compositions with more words, so improvements to this could implicate consideration of the semantics of Error Summary, equivalent, and use of n-grams. Also, in using the technology of machine learning and Natural Language processing some advancements to be made to the present characterization structure so for future research it is highly recommended to clear up the first’s Error Summary before operating several operations in the present study.Composition Error Summary
Emotional Identification Using Autoethnography Mars Caroline Wibowo; Budi Raharjo
International Journal of Graphic Design Vol. 1 No. 2 (2023): December: International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to explore the skills of emotion regulation and the use of visual expressions as nonverbal communication tools to raise awareness about the importance of identifying emotions and utilizing creativity and visual expression in dealing with emotions. Emotional intelligence has an important role in various fields, but attention to aspects of emphasizing emotional intelligence in communication design is still limited. Effective communication design must take into account the emotional impact on the audience, not just conveying information. The role of childhood adversity and generational trauma in shaping emotional regulation skills diminishes emotional intelligence in communication design. Research emphasizes the importance of emotional intelligence in communication design and explores the use of visual expressions as instruments of nonverbal communication. In addition, it is a valuable contribution to broadening the understanding of emotional intelligence and creative expression in effective communication. Autoethnography is employed as a strategy to delve into emotionally engaging design and to engage communities of individuals who may be uncertain or unskilled in effectively eliciting emotions from the written content. Through the process of autoethnography, the results of this study show personal progress in identifying emotions. This study creates awareness of the importance of emotional identification exercises and education about using ambient materials to deepen emotional experience through creativity and visual expression. Through an autoethnographic process, this study records personal progress in identifying emotions. Awareness of the importance of practicing emotional identification and utilizing surrounding materials to immerse oneself in emotional experiences, especially through creativity and visual expression, is also emphasized.
Co-Authors Adi Setiawan Ahmad Zainudin Andik Prakasa Hadi Ayyub Hamdanu Budi Nurmana Mulyana Slamet Budi Raharjo Budi Raharjo Budi Raharjo Budi Raharjo Hindriyanto Dwi Purnomo Irda Yunianto Irda Yunianto Irwan Sembiring Iwan Setyawan Joseph Teguh Santoso Kristoko Dwi Hartomo Mufadhol Mufadhol Nugroho, Aris Sarwo Santoso, Joseph Teguh Sugiarto S Suryani Suryani Suwadi Suwadi Suwadi Suwadi Toni Wijanarko Adi Putra