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Andino Maseleno

Prodi Sistem Informasi, STMIK Pringsewu Lampung

Author-ID : 454774

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Perceptions of Electric Vehicle Adoption among Young Adults in Ahmedabad: Exploring Influences and Implications Mehta, Hitarth; Rathod, Lakshita; Shah, Fenil; Bhatt, Aum; Machhvara, Jenil; Chauhan, Rahul; Maseleno, Andino
Greenation International Journal of Engineering Science Vol. 1 No. 4 (2023): (GIJES) Greenation International Journal of Engineering Science (December 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i4.307

This study explores the perceptions of young adults aged 18-30 in Ahmedabad, India, toward electric vehicle (EV) adoption. A quantitative approach was employed, gathering data from 104 respondents via a structured questionnaire. Key factors examined include vehicle preference, peer influence, and promotion of EVs. One-way ANOVA results indicated that age did not significantly impact these factors, suggesting that other variables, such as environmental concerns and technological advancements, may have a stronger influence on purchase intentions. The study highlights the growing awareness of sustainability and technology among youth, with implications for targeted marketing strategies. The research provides a foundation for future studies on EV adoption across different regions and age groups. Additionally, the findings contribute to the global conversation on reducing carbon emissions and increasing EV adoption for a sustainable future.

The Role of Artificial Intelligence in Enhancing User Experience on OTT Platforms Chahwala, Keshav; Shubham, Chavda; Zalariya, Nihal; Dhruv, Aryan; Rakesh Shah, Arya; Chauhan, Rahul; Maseleno, Andino
Greenation International Journal of Engineering Science Vol. 2 No. 4 (2025): (GIJES) Greenation International Journal of Engineering Science (December - Feb
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v2i4.311

This study investigates the impact of Artificial Intelligence (AI) on user experience and engagement with Over-the-Top (OTT) platforms, focusing on Ahmedabad, India. The research examines how AI-driven content personalization and predictive analytics influence user satisfaction and retention. Using a quantitative approach, data was collected from 101 respondents via a structured questionnaire and analyzed using SPSS software. Key findings reveal that AI-based content recommendations significantly enhance user satisfaction, with noticeable differences in engagement across age groups. Gender-based analysis shows a variance in time spent on platforms, though content preferences and response to recommendations remain consistent across genders. The study highlights the growing importance of AI in optimizing user experiences and driving engagement on OTT platforms. Future research can explore regional variations, ethical challenges, and evolving AI technologies in streaming services to further refine personalization strategies.

Exploring the Impact of Music on Mood and Consumer Behavior: A Gender and Age - Based Analysis Patel, Hetvi; Khakhar, Bhavik; Barvaliya, Ram; Chauhan, Rahul; Maseleno, Andino; Rizal Isnanto, R
Siber Journal of Advanced Multidisciplinary Vol. 1 No. 4 (2024): (SJAM) Siber Journal of Advanced Multidisciplinary (January - March 2024)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

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

This study explores the relationship between demographic factors—age and gender - and music preferences among a sample of 167 individuals. The analysis reveals a predominantly young population, primarily students, indicating significant implications for understanding music's role in mental health and therapeutic applications. ANOVA results show that Relax Music and Sad Motion exhibit significant differences across age groups, while the Sad Genre and Lyrics Effect reveal significant variations by gender. These findings highlight the importance of tailoring music interventions to specific demographic characteristics. Future research should investigate additional demographic factors and employ longitudinal approaches to deepen insights. This study contributes to the global discourse on music therapy, emphasizing music's potential as a transformative tool for emotional well-being.

Demographic Influences on Budget-Conscious Nutrition: A Study of Age and Gender Impacts on Food Choices Yash, Panchal; Goyal , Vikas; Thakur, Aryan; Chauhan, Rahul; Maseleno, Andino
Siber Journal of Advanced Multidisciplinary Vol. 1 No. 4 (2024): (SJAM) Siber Journal of Advanced Multidisciplinary (January - March 2024)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v1i4.303

This study explores the impact of age and gender on food budgeting behaviors, focusing on strategies individuals use to maintain balanced nutrition under financial constraints. Through an ANOVA analysis, findings indicate that age does not significantly affect food budgeting habits, while gender shows a significant influence on the types of food bought when budgeting, suggesting different dietary priorities. These insights contribute to a better understanding of how demographic factors shape food choices, essential for developing targeted nutrition and budget management programs. With rising global food prices and economic disparities, these findings are particularly relevant for policymakers and health organizations aiming to promote affordable, healthy eating practices. Future research should consider additional demographic variables and the role of environmental factors to broaden these insights and support global food security efforts.

Exploring Customer Satisfaction and Engagement in Café Culture: The Role of Intergenerational Interactions and Digital Engagement Agrawal, Heit; Shah, Supan; Shah, Tanish; Bachani, Jenith; Chauhan, Rahul; Maseleno, Andino
Siber Journal of Advanced Multidisciplinary Vol. 2 No. 4 (2025): (SJAM) Siber Journal of Advanced Multidisciplinary (January - March 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v2i4.308

This study investigates the experiences and satisfaction levels of café-goers in Ahmedabad, focusing on the impact of intergenerational interactions, digital engagement, and cultural inclusivity on customer preferences and revisit intentions among younger consumers aged 18 to 35. Data were collected from 100 respondents using a structured questionnaire that addressed key factors such as service quality, ambiance, and overall social reinforcement. Regression analysis revealed no significant relationships between the independent variables and the purpose of visiting cafés, indicating the complexity of factors influencing customer behavior. The findings suggest the need for further exploration of additional variables to capture the intricacies of customer satisfaction. This research contributes to understanding the evolving café culture and its implications for enhancing customer experiences in public spaces.

The Impact of Social Media on Investment Decision-Making: An Analytical Study Shah, Meet; Patel, Raj; Sharma, Ansh; Chauhan, Rahul; Maseleno, Andino; Isnanto, R. Rizal
Greenation International Journal of Economics and Accounting Vol. 2 No. 4 (2024): Greenation International Journal of Economics and Accounting (December 2024 - F
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v2i4.294

This study investigates the influence of social media on investment decision-making, focusing on various factors such as frequency of use, preferred platforms, and perceptions of reliability. Using ANOVA analysis, the research reveals that the frequency of social media use and the belief in its reliability significantly affect investors' behaviours. Participants who use social media more frequently and trust the information sourced from it are more likely to let it guide their investment choices. However, the specific platforms and the overall belief in social media’s positive influence do not significantly affect decision-making. These findings underscore the complex role of social media in shaping investment behaviours, highlighting both its potential benefits and risks, such as the spread of misinformation. Future research could explore the credibility of different content types and the evolving landscape of social media's impact on global investment practices.

The Influence of Cinema on Consumer Purchasing Behaviour: An Analysis of Age and Gender Differences Patel, Vasu; Rajkotiya, Abhi; Mendpara, Lucky; Viramgama, Netra; Chauhan, Rahul; Maseleno, Andino
Greenation International Journal of Economics and Accounting Vol. 2 No. 4 (2024): Greenation International Journal of Economics and Accounting (December 2024 - F
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v2i4.306

This study explores the relationship between cinema and consumer Behaviour, focusing on how age and gender influence purchasing decisions after viewing movies. A total of 105 respondents from Ahmedabad, India, were surveyed using a structured questionnaire that assessed movie-watching habits, preferred platforms, and the impact of films on purchasing Behaviour. The data was analyzed using **SPSS** with **ANOVA (Analysis of Variance)** to examine the differences in Behaviours across different age groups and genders. The results revealed that while age significantly influenced whether respondents made purchases after seeing products in films, gender did not have a substantial effect on viewing habits or purchase decisions. The findings highlight the increasing influence of cinema, particularly among younger audiences, in shaping consumer preferences for products and services. The study suggests that the entertainment industry and marketers can benefit from a deeper understanding of these trends to better target consumer segments. Future research could explore the impact of cultural factors and digital media on these Behaviours.

An Explainable Deep Learning Approach for Classifying Monkeypox Disease by Leveraging Skin Lesion Image Data Maseleno, Andino; Huda, Miftachul; Ratanamahatana, Chotirat Ann
Emerging Science Journal Vol 8, No 5 (2024): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-05-013

According to the World Health Organization's (WHO) external situation report on the multi-country outbreak of Monkeypox in 2023, from 11 countries in Southeast Asia Regions, Thailand recorded the highest reported cases, totaling 461. The ongoing Monkeypox outbreak has raised significant public health concerns due to its rapid spread across several nations. Early detection and diagnosis are imperative for effectively treating and controlling Monkeypox. Given this context, this study aimed to determine the most efficient model for detecting Monkeypox by employing interpretable deep learning techniques. This study utilizes deep learning techniques to diagnose Monkeypox based on images of skin lesions. We evaluate based on four models—convolutional neural network (CNN), gated recurrent unit (GRU), long short-term memory (LSTM), and bidirectional long short term memory (BiLSTM)—using a publicly available dataset. Additionally, we incorporate Local Interpretable Model-Agnostic Explanations (LIME) and techniques for explainable AI, facilitating visual interpretation of model predictions for healthcare practitioners. The CNN model's performance and LSTM model's performance have an accuracy of 100%, while the GRU model's performance and BiLSTM model's performance have an accuracy of 99.88% and 99.45%. Our findings demonstrate the effectiveness of deep learning models, including the suggested CNN model leveraging the pre-trained MobileNetV2 and LSTM. These models can play a pivotal role in combating the Monkeypox virus. Doi: 10.28991/ESJ-2024-08-05-013 Full Text: PDF

Consumer Buying Behavior on Myntra: Analyzing Influencing Factors and Their Impact on Satisfaction Jadhwani, Om; Mohnia, Tiya; Suda, Pranjal; Chauhan, Rahul; Maseleno, Andino
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 5 (2024): Dinasti International Journal of Economics, Finance & Accounting (November - De
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i5.3887

This research explores consumer buying behavior on Myntra, a leading online fashion platform in India, focusing on factors influencing purchasing decisions and their impact on customer satisfaction. A survey of 100 Myntra users in Ahmedabad was conducted, utilizing a quantitative approach and stratified random sampling. The study identified key factors such as pricing, product variety, promotions, and user experience, and evaluated their role in shaping consumer behavior. The findings suggest that demographic variables (age, gender, and occupation) have minimal influence on shopping behavior, while satisfaction and purchase decision-making were influenced by factors like pricing strategies and personalized recommendations. The study provides insights into Myntra's market positioning and offers recommendations for improving customer engagement.

ETHNOMATHEMATICS WAT HUA LAMPHONG TEMPLE Maseleno, Andino; Susilowati, Tri; Chauhan, Rahul
Hipotenusa Journal of Research Mathematics Education (HJRME) Vol 7, No 2 (2024): Hipotenusa Journal of Research Mathematics Education (HJRME)
Publisher : Universitas Muhammadiyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36269/hjrme.v7i2.2636

In Thailand alone there are more than 35,000 temples, ranging in size from magnificent to simple. One of them is the prominent temple in Bangkok, Wat Hua Lamphong. Wat hua Lamphong is a Royal Buddhist temple, classified as third-class, located in Bangkok's Bang Rak District, Thailand. Located on Jalan Rama IV, it functions centers for spiritual guidance, education, and community activities.The purpose of this study is to describe the results of mathematical exploration as a cultural product through the ethnomathematical bridge to Wat hua Lamphong Temple. The results of this research are presented in a qualitative form with an ethnographic approach that describes the history, as well as the philosophy and structure of the building and ornament of Wat hua Lamphong Temple. Data sources were obtained through literature studies, interviews, observations, and documentation. The results of the study show that (1) Wat Hua Lamphong Temple has several aspects of mathematics in geometry material. Build such as triangles, trapezoids, prisms, circles and build spaces such as bowed cones and geometry of reflection transformation, translation and dilation. Not only geometric shapes, other aspects are also seen in the triangle of the building, two lines that are parallel to each other and the integral volume of the rotating object, (2) Overall, the exploration of mathematics and culture through ethnomathematics not only enriches the learning experience but also fosters a deeper appreciation of the cultural dimension of mathematical knowledge.

Co-Authors -, Nungsiyati Agrawal, Heit Anggia Sari Ani Choirunnisa Anwar, Muhammad Saidun Apsari, Nur Fitri Artha, Arsya Sinatria Bachani, Jenith Baghadiya, Jenik Baldi, Vansh Barvaliya, Ram Bhatt, Aum Bhutra, Yuvraj Bich Huynh, Vy Dang Bich Vu, Ngoc Bohra, Hussain Budi Satiawan Chahwala, Keshav Chauhan, Rahul Choirudin, Choirudin Choirunnisa, Ani Citra Dewi Citrawati Jatiningrum Damayanti, Alfina Danar Aulia Husnan Dang Vo, Khoa De Brito Silva, Gabriel Deep P, Baraiya Dhaakad, Deepak Dhanak, Jaydev Dhruv, Aryan Dwivedi, Shaurya Eka Fitria Ningsih Eka Fitria Ningsih Eka Fitria Ningsih Eva Yuliana Fauzi Fauzi Fauzi Fauzi Fiqih Satria Gabriel De Brito Silva Gabriel De Brito Silva Gafurjiwala, Moh. Kaif Goyal , Vikas Guha, Tannay Gurjar, Krishna Hamzah Hamzah Hasanah, Khuswatun Hashim, Wahidah Hendra Hendra Hubur, Aa Husnan, Danar Aulia Ipin Prasojo Ipin Prasojo, Ipin Isnaini, Nurlaila Jadhwani, Om Jaju, Pooja Kacchara, Gul Kachhadiya, Diya Kamya, Bhatt Kataria, Yachi Khakhar, Bhavik Kharchenko Raisa Khoa Dang Vo Khubchandani, Sania Khuswatun Hasanah Kotak, Yash Kristina, Marilin Laksono Trisnantoro Le Hoang Thuy To Nguyen, Quyen Loan Phuc Le Machhvara, Jenil Makhija, Hitesh Marselina Jupon, Rara Mayank Meghwal Meet Shah, Meet Mehta, Hitarth Mehta, Meet Mendpara, Lucky Mian Usman Sattar Miftachul Huda Miswan Gumanti Mohnia, Tiya Monpara, Yesha Muhammad Miftahussurur Muhammad Muslihudin Muhtadin Arrosyid Muhtadin Asnady Murti, Sri Nagani, Purva Nagdevani, Dev Naik, Pratham Nevil Thacker Ngoc Bich Vu Nishith Shahu Nungsiyati Nungsiyati Nur Aminudin Nur Azizah nurul latifah Omar tanane Omar Tanane Padaliya, Om Padang Tunggal, Tatiya Parchani, Nilesh Patel, Diya Patel, Hetvi Patel, Kavya Patel, Raj Patel, Tarang Patel, Vasu Petel, Bhavya Phong Thanh Nguyen Phuc Le, Loan Phuong Thanh Phan Prajapati, Hetal Prisma Megantoro Quyen Le Hoang Thuy To Nguyen R Rizal Isnanto R. Rizal Isnanto Rahul Chauhan Rais Zulkarnain Raisa, Kharchenko Raithatha, Bhavya Rajapara, Monil Rajkotiya, Abhi Rakesh Shah, Arya Ramchandani, Paras Ramrakhya, Divesh Ratanamahatana, Chotirat Ann Rathod, Lakshita Rika Fetricia Rizal Isnanto, R Rizal Isnanto, R. Sah, Aditya Sakaria, Anuchi Samsukha, Akshita Samtani, Heena Sapra, Ruchi Satria Abadi Satria, Fiqih Sattar, Mian Usman Septia Nagara, Erliza Seth, Dhruv Shah, Dhwanit Shah, Fenil Shah, Hitarth Shah, Nirmit Shah, Stuti Shah, Supan Shah, Tanish Shahu, Nishith Sharma, Ansh Sharma, Yajurv Shriyal, Harsh Shubham, Chavda Sigit Soijoyo Silva, Gabriel De Brito Singh, Pushpendra Sinh Zala, Harshvadhan Sodikin Sodikin Sompura, Jayesh Sri Murti Store, Shreyas Suda, Pranjal Sudewi Sudewi Suhani Patel Suyono Suyono Tanane, Omar Tatiya Padang Tunggal Thakkar, Krish Thakur, Aryan Thanh Nguyen, Phong Thanh Phan, Phuong Tri Ayu Septiana Tri Susilowati Tri Susilowati Triana Dewi Triana Dewi Trisnawati Trivedi, Pratham Unaliya, Maitri Vaghela, Sidhraj Vaja, Hitarthsinh Viramgama, Netra Vy Dang Bich Huynh Wahidah Hashim Yash, Panchal Zalariya, Nihal Zaveri, Krish Zulkifli

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