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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 Chemical Engineering, Chemistry & Bioengineering 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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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.

Impacts of Online Payment Systems on Consumers and Merchants Naik, Pratham; Kotak, Yash; Dhanak, Jaydev; Shah, Dhwanit; Chauhan, Rahul; Maseleno, Andino; Raisa, Kharchenko
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 6 (2025): Dinasti International Journal of Economics, Finance & Accounting (January - Feb
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i6.4226

This study investigates the effects of digital payment systems on consumer behaviours and merchant operations in Ahmedabad. The research is guided by two objectives: analysing the impact of consumer trust on the adoption of digital payment systems, and evaluating the role of these systems in enhancing merchant efficiency and financial performance. Data was collected from 110 respondents using a structured questionnaire, with statistical analysis conducted using SPSS. The results highlight a significant positive relationship between consumer trust and digital payment adoption. Additionally, the implementation of digital payment systems improves operational efficiency for merchants. The study underscores the importance of trust, reliability, and security in fostering adoption and the growing role of digital payment technologies in transforming business operations. Future research should explore long-term impacts and the role of emerging technologies in digital payments.

Optimization Techniques in Real Estate Investment Portfolios: A Quantitative Approach Patel, Tarang; Singh, Pushpendra; Dhaakad, Deepak; Vaghela, Sidhraj; Chauhan, Rahul; Maseleno, Andino; Rizal Isnanto, R
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.v1i4.263

This study explores optimization techniques in real estate investment portfolios, focusing on balancing risk and return through diversification, sustainability, and technology integration. By analyzing responses from 104 participants across different demographic groups, the research examines how factors such as age, gender, education, and occupation influence the adoption of strategies like AI-driven decision-making, ESG considerations, and corporate governance. The findings reveal that while traditional optimization techniques remain essential, there is growing acceptance of advanced tools and sustainable practices. The study emphasizes the importance of a holistic approach to portfolio management, combining financial performance with ethical and environmental considerations. Future research can further investigate emerging technologies and global regulatory impacts on real estate investments.

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.

Impact of Artificial Intelligence and Digital Technologies on Consumer Behavior and Brand Perception: A Study of Young Consumers in Ahmedabad Samsukha, Akshita; Trivedi, Pratham; Baldi, Vansh; Store, Shreyas; Naik, Pratham; Chauhan, Rahul; Maseleno, Andino; Raisa, Kharchenko
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.v1i4.339

This study investigates the impact of artificial intelligence (AI) and digital technologies on consumer behavior and brand perceptions among young consumers in Ahmedabad. Using a quantitative approach, data was collected from 116 respondents through a structured questionnaire to examine AI-driven personalized experiences such as product recommendations, virtual assistants, and their influence on consumer attitudes and purchase intentions. Statistical analysis revealed that AI integration significantly enhances consumer satisfaction and influences purchase decisions, while demographic factors such as gender and education showed minimal influence on AI preferences. The findings highlight the potential of AI to shape future consumer engagement and purchasing behavior. This research contributes to the understanding of AI's role in modern retail and its implications for businesses aiming to leverage AI for personalized marketing.

Research Study on the Satisfaction Level of Uber Users with Respect to Ahmedabad City Deep P, Baraiya; Rajapara, Monil; Sinh Zala, Harshvadhan; Patel, Kavya; Chauhan, Rahul; Maseleno, Andino; Rizal Isnanto, R
Greenation International Journal of Tourism and Management Vol. 1 No. 4 (2023): (GIJTM) Greenation International Journal of Tourism and Management (December 20
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijtm.v1i4.254

This study investigates user satisfaction among Uber users in Ahmedabad, India, focusing on key factors such as digital media consumption, the impact of the COVID-19 pandemic on household income, spending priorities, binge-watching habits, and perceptions of work-life balance. Using ANOVA analysis, significant differences were found in users' feelings of being overwhelmed by work and personal responsibilities, while other factors showed uniformity across demographic groups. These findings highlight the influence of socioeconomic factors on digital life balance, emphasizing the need for tailored strategies to enhance user satisfaction. By contributing to the understanding of the sharing economy's impact on urban mobility, this research provides valuable insights for improving user experiences in similar contexts. Future studies should consider longitudinal trends and cross-cultural comparisons to further enrich this evolving field.

Co-Authors -, Nungsiyati AA Hubur Agrawal, Heit Ahmad Fudholi 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 Chatarina Umbul Wahyuni Chauhan, Rahul Choirudin, Choirudin Choirunnisa, Ani Citra Dewi Citrawati Jatiningrum Damayanti, Alfina Danar Aulia Husnan Dang Vo, Khoa Darshan, Darshan De Brito Silva, Gabriel Deep P, Baraiya Dhaakad, Deepak Dhanak, Jaydev Dhruv, Aryan Dhupper, Milan Dwivedi, Shaurya Eka Fitria Ningsih Eva Yuliana Faozi, Seli Aulia Fauzi Fauzi Fauzi Fauzi Fiqih Satria Gabriel De Brito Silva Gabriel De Brito Silva Gafurjiwala, Moh. Kaif Godara, Aditya Goyal , Vikas Guha, Tannay Gurjar, Krishna Hamzah Hamzah Hasanah, Khuswatun Hashim, Wahidah Hendra Hendra Husnan, Danar Aulia Iing Lukman Ipin Prasojo Ipin Prasojo, Ipin Isnaini, Nurlaila Jadhwani, Om Jaju, Pooja Jeprianto, Jeprianto Kacchara, Gul Kachhadiya, Diya Kamya, Bhatt Kataria, Yachi Khakhar, Bhavik Khoa Dang Vo Khubchandani, Sania Khuswatun Hasanah Kotak, Yash Laksono Trisnantoro Le Hoang Thuy To Nguyen, Quyen Loan Phuc Le Machhvara, Jenil Makhija, Hitesh Marselina Jupon, Rara Meet Shah, Meet Meghwal, Mayank 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 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, Suhani 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 Rangani, Yash Ratanamahatana, Chotirat Ann Rathod, Lakshita Rika Fetricia Rina Wati 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 Soni, Akshat Sri Murti Store, Shreyas Suda, Pranjal Sudewi Sudewi Suyono Suyono Tanane, Omar Tatiya Padang Tunggal Thacker, Nevil Thakkar, Krish Thakur, Aryan Thanh Nguyen, Phong Thanh Phan, Phuong Tri Ayu Septiana 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 Yus, Yumaira Zalariya, Nihal Zaveri, Krish Zulkifli

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