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International Journal of Multidisciplinary Sciences and Arts

ijmdsa
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Published by Information Technology and Science

ISSN : - EISSN : 29621658 DOI : https://doi.org/10.47709

Core Subject : Economy, Science, Education,

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

International Journal of Multidisciplinary Sciences and Arts is an international, multidisciplinary, peer-reviewed and open-access journal that provides a platform to produce high-quality original research, Reviews, Letters, and case reports in natural, social, applied, formal sciences, arts, and all other related fields. Our aim is to ameliorate the speedy distribution of new research ideas and results and allow the researchers to create new knowledge, studies, and innovations that will aid as a reference tool for the future.

Arjuna Subject : Seni dan Humaniora - Seni dan Humaniora (Lain-Lain)

Articles 339 Documents

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The Role of Personalization and Online Store Trust on Purchase Intention Mediated by Customer Satisfaction Sri.D, Lusy Endang; Dassucik, Dassucik; Mujianti, Sri Ayudha
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6544

This study explores the relationships between personalization, trust, customer satisfaction, and online purchase intention in e-commerce. As online shopping continues to grow, understanding the factors that drive consumer behavior becomes increasingly important for businesses seeking to improve their digital marketing strategies. The objective of this research is to examine how personalization and trust influence customer satisfaction and purchase intention, with a focus on the mediating role of customer satisfaction. Using Structural Equation Modeling (SEM), the study analyzes data from 173 buyers of a furniture retailer, CV Melindo Jember. The results reveal that both personalization and trust positively influence customer satisfaction, which, in turn, significantly impacts online purchase intention. Personalization was found to enhance customer satisfaction, and trust played a critical role in shaping both satisfaction and purchase intention. The study further demonstrates that customer satisfaction mediates the relationship between personalization, trust, and purchase intention. These findings have practical implications for e-commerce businesses, highlighting the importance of personalization strategies and trust-building measures in improving customer experiences and boosting sales. The research contributes to the understanding of consumer behavior in online shopping, providing actionable insights for businesses to increase purchase intention. However, further research is needed to explore these relationships in other industries and geographical regions, as well as to consider other potential mediators or moderators of the consumer decision-making process.

From Intuition to Automation: A Comparative Study of Traditional Investment Decisions and Robo-Advisory Adoption Among Retail Investors in Indonesia Pinandhito, Kenneth; Ayundyayasti, Prima; Fajria, Rola Nurul; Cinderatama, Toga Aldila; Martia, Dina Yeni
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6463

The development of digital technology has transformed the investment decision-making process from being based on human analysis to automated algorithm-based solutions such as robo-advisors. This study aims to compare traditional and technology-based investment decision-making approaches among retail investors in Indonesia, focusing on adoption, perceived trust, and effectiveness of robo-advisor use. Using quantitative descriptive-correlational approach to compare traditional and technology-based investment decision-making methods, this study collected survey data from 120 individual. The results show a significant positive correlation between trust in traditional methods and the use of investment applications, although the adoption rate of robo-advisors is still low. The main barriers faced are low digital literacy and lack of trust in automated systems. These findings emphasize the importance of targeted investor education and increased transparency on robo-advisory platforms. This study contributes to the literature on fintech adoption in emerging markets and offers practical insights for fintech developers and policymakers.

Job Satisfaction in Teachers of Autistic Children Simamora, Ruminta
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6537

The purpose of the study was to obtain an overview of job satisfaction for teachers of autistic children, to find out the factors of job satisfaction for teachers of autistic children, and to find out the efforts that have been made by a teacher of autistic children in carrying out their profession. This study is qualitative and uses in-depth interviews with three teachers who teach at special needs schools (SLB-C) and handle autistic children. The research period began in January 2025 to April 2025. The results of the study showed that job satisfaction is not obtained from the type of work but how the work is loved and carried out by the worker (teacher). The three subjects in this study felt job satisfaction as teachers of autistic children because they first love children, accept their limitations, do their work affectively and optimally. Good cooperation and assertive communication between fellow teachers, parents, and the school produce positive energy that creates enthusiasm for work. The emotional bond with students is a strength and motivation for teachers to continue to develop teaching methods for the progress of children. The results of the study showed that the three subjects got job satisfaction as teachers of autistic children and by dedicating themselves to children it was felt as a blessing in their work. The limitations of the child create empathy in the parents and together provide education and coaching according to the needs and abilities of the child. Work discipline and the desire to achieve are solely aimed at advancing the child and the school. The school's bias towards teachers is a motivation to be actively involved in tasks and support school programs.

Analysis Of Consumer Preferences Towards The Decision To Purchase Isotonic Drinks Using The Conjoint Analysis Method Oktaneldanora, Yudit; Purnomo, Jerry Dwi Trijoyo; Noer, Bustanul Arifin
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6560

Exercise is an important activity for maintaining physical and mental health. One of the factors supporting sports performance is the consumption of isotonic drinks, which help replace lost fluids and electrolytes. This study aims to analyze consumer preferences for isotonic drinks based on the attributes of sugar content, package size, price, and taste. The method used is conjoint analysis by distributing questionnaires to 185 respondents (athletes and sports fans) in Malang, Surabaya, and Kediri. The results showed that the most preferred combination of attributes is isotonic drinks with low sugar content, 500ml packaging, a price of Rp 3,000–Rp 4,000, and original flavor. The most influential attributes in purchasing decisions were taste (33%) and price (32%), followed by sugar content (19%) and package size (16%). Correlation analysis showed a strong relationship between actual and predicted preferences (Pearson's R = 0.787; Kendall's tau = 0.611), with a significance of <0.05, indicating the accuracy of the model. The managerial implications of this study are recommendations for isotonic drink manufacturers to focus product development on low-sugar variants with original flavors, affordable prices, and large packaging (500ml) to meet the preferences of sports consumers.

Project Prioritization Using Fuzzy AHP (FAHP) And 4c Diamond Marketing Model In Digital Wallet Application Development Alfianto, Tomy Aulia; Noer, Bustanul Arifin; Purnomo, Jerry Dwi Trijoyo
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6592

The rapid growth of digital wallet applications in the financial technology sector has created increasing complexity in strategic decision-making for development project prioritization. This research addresses the challenge of systematically evaluating and prioritizing multiple development projects by implementing the Fuzzy Analytic Hierarchy Process (FAHP) method combined with the 4C diamond model framework. The study focuses on a digital wallet application development case, where ten projects were evaluated against four main criteria: Customer, Company, Competitor, and Change, along with their respective sub-criteria. The methodology employs triangular fuzzy numbers to handle uncertainty and subjectivity inherent in expert judgments, while the 4C diamond model provides a comprehensive framework for strategic analysis. Data collection was conducted through structured interviews with industry experts and stakeholders involved in digital wallet development. The FAHP method was applied to calculate criteria weights and project scores, followed by comprehensive sensitivity analysis to validate the prioritization model's robustness. Results demonstrate that customer-centric factors dominate the decision-making process with the highest weight of 0.425, followed by company considerations (0.323), change adaptability (0.206), and competitive factors (0.046). The final prioritization identified five top-priority projects based on their strategic alignment and value potential. Sensitivity analysis confirmed the model's stability, with ±10% weight variations showing minimal impact on ranking consistency. The research contributes to technology project management by providing a structured, quantitative approach to strategic decision-making in digital financial services. The proposed framework demonstrates applicability beyond digital wallet development, serving as a replicable model for multi-criteria decision-making in technology project prioritization.

Comparative Study of Normalization Methods for DEMNAS Elevation Data to Grayscale Representation for 3D Terrain Visualization Yohan Kartiko, Erik; Teguh Setyadi, Agung; Alfanio Atmoko, Rizky; Suryo Prayogo, Johan; Ariatna Alia, Putri
International Journal of Multidisciplinary Sciences and Arts Vol. 4 No. 3 (2025): International Journal of Multidisciplinary Sciences and Arts, Article July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v4i3.6717

This study presents a comprehensive comparative analysis of seven normalization techniques applied to DEMNAS (Digital Elevation Model Nasional) elevation data for grayscale image conversion, essential in 3D terrain visualization and 3D printing. The methods compared are Min-Max Scaling, Z-Score Scaling, Logarithmic Transformation, Square Root, Power (Gamma), Sigmoid, and Arctangent normalization. Using QGIS and Python, elevation data were transformed into grayscale images with pixel values ranging from 0 to 255, representing topographic variation. Visual, statistical, and histogram-based analyses reveal that Min-Max scaling and Arctangent normalization provide the most balanced grayscale distribution and topographic contrast. Logarithmic and Gamma methods emphasize lower elevations, while Z-Score and Sigmoid are more centered around mean values. This study confirms that normalization choice significantly affects terrain visualization quality and should be tailored to specific data characteristics and application contexts.

Integrating AI in Healthcare: Innovations in Petroleum-Based Fraud Detection and Its Implications for Medical Diagnostics Muhammad Fahad; Muhammad Ibrar; Muhammad Umer Qayyum; Ali Husnain
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4655

Artificial intelligence (AI) is transforming a number of industries through increasing operational effectiveness, detecting fraudulent activity, and boosting diagnostic accuracy. In order to demonstrate the transformational potential of AI techniques across different areas, this review paper examines the convergence of petroleum-based fraud detection and AI applications in healthcare. The study looks at how artificial intelligence is currently being used in healthcare, particularly in tailored and medical diagnostics. After that, it explores how artificial intelligence (AI) is utilized in petroleum-based fraud detection, going over methods like data mining, anomaly detection, and machine learning algorithms that are used to find and stop fraud. The review emphasizes the possible advantages and synergies as it looks further into how fraud detection findings from the petroleum business might be applied to healthcare. Notwithstanding these advantages, the paper discusses the main obstacles and restrictions related to integrating AI, such as system integration, data security and privacy, accuracy and dependability, and ethical and legal issues. The study intends to provide significant insights into the efficient deployment of AI technologies and the potential for cross-industry applications to stimulate innovation and enhance results by giving a thorough review of these subjects.

AI's Revolutionary Role in Cyber Defense and Social Engineering Muhammad Ismaeel Khan; Aftab Arif; Ali Raza A Khan
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4752

Creative methods of cybersecurity are required due to the growing complexity of cyber threats, especially those originating from social engineering techniques. The revolutionary role that artificial intelligence (AI) is playing in transforming cybersecurity practices is examined in this review article. It starts by looking at social engineering assaults and how AI technologies improve the ability to identify threats and take appropriate action. The study goes on to address the particular uses of AI in a number of cybersecurity fields, such as automated incident response, fraud detection, and anomaly detection. The application of AI in cybersecurity is not without difficulties, despite its many advantages. Significant challenges are presented by problems with data quality and bias, adversarial attacks, ethical issues, and resource requirements. In order to create complete cybersecurity plans, it is crucial to integrate AI with human expertise and emphasize the necessity for human oversight and collaboration. Future developments in AI technology are expected to continue, especially in the areas of machine learning algorithms and their integration with newly developed platforms like block chain and the Internet of Things (IoT). Case studies reveal how AI has been successfully implemented in businesses in a variety of industries, demonstrating how AI may enhance danger detection and reaction times. Artificial intelligence has enormous potential to improve cybersecurity protocols. In order to secure a safer digital future, organizations that adopt AI technology while addressing ethical issues and promoting a culture of continuous learning will be in a better position to manage the always changing terrain of cyber dangers.

An overview of cyber threats generated by AI Aftab Arif; Muhammad Ismaeel Khan; Ali Raza A Khan
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4753

Artificial intelligence's (AI) quick development has drastically changed cyber security by bringing in both sophisticated cyber threats and cutting-edge defenses. This research paper offers a thorough analysis of AI-generated cyber threats, including their mechanics, noteworthy case examples, and countermeasures. The report demonstrates how attackers carry out high-impact assaults, such as automated phishing, ransom ware, and misinformation campaigns, by utilizing AI tools like machine learning, natural language processing, and deep fake technologies. Important case studies highlight the necessity for enterprises to implement proactive and comprehensive security measures by illuminating the practical effects of these risks. Trends suggest that as AI-generated threats develop, they will become more sophisticated and automated due to the rise of autonomous systems that can carry out assaults without the need for human interaction. Organizations are urged to make investments in cutting-edge AI-powered security solutions, promote a cyber-security-aware culture among staff members, and create strong incident response strategies in order to address these changing issues. Enhancing collective defenses against AI-generated cyber threats requires stakeholder collaboration and information sharing, as well as frequent security assessments and adherence to ethical AI principles. This research indicates that a proactive and adaptive strategy to cyber security will be critical in guaranteeing resilience against the increasingly complex threat landscape posed by AI as enterprises traverse the intricacies of the digital era. In an interconnected world, stakeholders can cooperate to protect their assets and uphold public trust by cultivating a culture of continual development and cooperation.

Protocol Analysis: 2.4 GHz Interference Frequency in the IEEE802.3ab Protocol Juwari, Juwari; Asyhari, Moch Yusuf; Susanti, Pratiwi; Cahyono Putro, Moh Rizal Bagus
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4763

Interference at the 2.4 GHz frequency is currently a significant problem in wireless networks. Especially on networks with environmental conditions where there are many active devices at the same time. This study analyzes the impact of interference on Delay and Jitter on IEEE 802.3ab protocol networks. The IEEE 802.3ab protocol is commonly known as the Gigabit Ethernet Protocol which already supports data transmission speeds of up to 1 Gbps. This study conducts various scenarios and simulates when interference occurs using five active access points (APs). The device's access points (APs) are all using the same 2.4 GHz frequency and channel. The data collection method uses the Wireshark application to measure the Delay and Jitter values at different interference levels. The results of simulations and tests with various scenarios show that there is a relationship between increased interference and Delay values. The Delay value is 14.129 ms when using a single AP without Interference. The Delay value increases to 1076,3730 ms in the event of interference with five APs. The jitter value increased from 0,2109 ms without interference. However, if there is interference with the active AP as much as 5 Jitter values to 17,9396 ms. Research shows that the jitter value is according to the TIPHON standard in the "Good" range. Meanwhile, the Delay value decreased significantly until it reached the "Poor" category when five APs were active. This research focuses on the need and importance of effective interference management to maintain network quality in interference-dense environments. This shows that optimizing for channel selection and frequency management is essential to reduce latency and improve transmission stability.

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Home Page

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Contact Name
Muhammad Khoiruddin Harahap

Contact Email
choir.harahap@yahoo.com

Phone
+6282251583783

Journal Mail Official
publikasi@itscience.org

Editorial Address
Medan

Location
Unknown,

Unknown

INDONESIA