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Andino Maseleno

Institut Bakti Nusantara

Author-ID : 454774

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Exploring Consumer Behavior, Logistics Challenges, and Technological Innovations in Online Grocery Shopping: A Comprehensive Review Vaja, Hitarthsinh; Monpara, Yesha; Gafurjiwala, Moh. Kaif; Parchani, Nilesh; Chauhan, Rahul; Maseleno, Andino
Siber Journal of Transportation and Logistics Vol. 2 No. 4 (2025): (SJTL) Siber Journal of Transportation and Logistics (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/sjtl.v2i4.309

This study examines consumer behavior, satisfaction, and loyalty in online grocery shopping in Ahmedabad, India, following the COVID-19 pandemic. Employing a quantitative approach, data was collected from 122 respondents through structured surveys to assess the role of demographic factors, logistics, and technological innovations in shaping consumer experiences. ANOVA analyses revealed that while age and gender generally do not significantly influence online shopping behavior, specific factors do show demographic variances, indicating nuanced preferences among different consumer groups. Findings demonstrate that consumer adoption of online grocery shopping is driven by preferences and technological advancements, whereas logistics challenges negatively impact satisfaction and loyalty. These insights underscore the need for grocery retailers to enhance logistics services and leverage technology to cater to diverse customer needs. The study’s implications extend globally, as online grocery shopping grows worldwide, offering potential for retailers to optimize customer engagement through innovative solutions.

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

Demographic Influences on Screen Time: Impacts on Academic Performance and Mental Health Diyanshi Patel; Pooja Vyas; Dhara Patel; Aryan Shah; Rahul Chauhan; Andino Maseleno; R Rizal Isnanto
International Journal of Psychology and Health Science Vol. 2 No. 4 (2024): International Journal of Psychology and Health Science (October-December 2024)
Publisher : Greenation Publisher & Yayasan Global Research National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijphs.v2i4.700

This study examines the relationship between demographic factors—age, gender, and education level—and various aspects of screen time usage, including average screen time, academic performance, and associated health impacts such as anxiety and social life interactions. Using ANOVA, we found significant differences in average screen time based on age and education level, with younger and more educated individuals tending to engage more with digital devices for studying. Notably, academic performance was influenced by education level, while anxiety and social life were significantly affected by both education and age. These findings underscore the importance of considering demographic factors in understanding screen time behaviors. Future research should explore longitudinal effects and potential interventions to mitigate negative outcomes.

Exploring the Influence of Age, Gender, and Occupation on Sleep-Related Habits and Perceptions Krish Patel; Rudra Patel; Jenil Desai; Meet Satasiya; Rahul Chauhan; Andino Maseleno
International Journal of Psychology and Health Science Vol. 1 No. 4 (2023): International Journal of Psychology and Health Science (October-December 2023)
Publisher : Greenation Publisher & Yayasan Global Research National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijphs.v1i4.741

This study investigates the relationship between demographic factors—specifically gender and occupation—and various sleep-related behaviors and perceptions among participants. Utilizing ANOVA analysis, significant differences were found regarding diagnosed sleep disorders based on gender, while occupational groups exhibited varied beliefs about the impact of sleep on physical health. The findings underscore the importance of targeted interventions and awareness campaigns tailored to specific demographic groups. Future research should explore the longitudinal effects of these factors and consider diverse populations to enhance generalizability. The global implications of sleep health are profound, influencing mental well-being, chronic disease prevalence, and workplace productivity. By prioritizing sleep as a critical component of health strategies, stakeholders can foster healthier communities and improve overall quality of life.

Gender and Age Differences in Mental Health Awareness: Insights from a Quantitative Study Aashvi Patel; Sanskruti Kaneriya; Dhvanit Santoki; Mansi Thummar; Rahul Chauhan; Andino Maseleno
International Journal of Psychology and Health Science Vol. 2 No. 4 (2024): International Journal of Psychology and Health Science (October-December 2024)
Publisher : Greenation Publisher & Yayasan Global Research National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijphs.v2i4.742

This study explores the impact of social and organizational factors on mental health outcomes among 102 respondents in Ahmedabad, employing a quantitative research methodology. Utilizing a structured questionnaire administered via Google Forms, the research assesses mental health awareness, sources of information, comfort levels, and stigma. Key findings reveal significant differences in mental health awareness and comfort levels based on gender, while age shows notable effects on discussions of mental health. The results highlight the need for targeted interventions to enhance mental health support. This study bridges gaps in existing literature and provides actionable insights for policymakers and mental health practitioners. Future research should consider longitudinal and qualitative approaches to deepen understanding of these dynamics. Overall, this work underscores the importance of addressing mental health issues in a culturally sensitive manner to foster well-being.

Co-Authors Aa Hubur AA Hubur Aalap Patel Aashvi Patel Abhi Rajkotiya Adi Prasetia Nanda Aditi Kalani Aditya Godara Agrawal, Heit Agung Santosa Ahmad Fudholi Ahmad Khumaidi Akshat Jain Akshat Soni Alfian Ma’arif Anggia Sari Ani Choirunnisa Ansh Sharma Anwar, Muhammad Saidun Apsari, Nur Fitri Artha, Arsya Sinatria Aryan Loriya Aryan Shah Ayu Lidia Bachani, Jenith Baghadiya, Jenik Baldi, Vansh Barvaliya, Ram Bhatt, Aum Bhutra, Yuvraj Bibi Rawiyah Mulung Bich Huynh, Vy Dang Bich Vu, Ngoc Bohra, Hussain Budi Satiawan Chahwala, Keshav Chaksu Patel Chatarina Umbul Wahyuni Chauhan, Rahul Choirudin, Choirudin Choirunnisa, Ani Chotirat Ann Ratanamahatana 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 Dhara Patel Dhiya Uddin Rijalusalam Dhruv Rankawat Dhruv, Aryan Dhvanit Santoki Diyanshi Patel Dwivedi, Shaurya Eka Fitria Ningsih Eka Fitriana Endang Noerhartati Erliza Septia Nagara 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 Harishchandra Singh Rathod Hasanah, Khuswatun Hashim, Wahidah Hendra Hendra Herni Setyaningsih Herni Setyaningsih Husnan, Danar Aulia Iing Lukman Ipin Prasojo Ipin Prasojo, Ipin Irfan Ahmad Isnaini, Nurlaila Iswanto Iswanto Jadhwani, Om Jainish Gami Jaju, Pooja Jenil Desai Jeprianto Jyot Kota Kacchara, Gul Kachhadiya, Diya Kamya, Bhatt Kataria, Yachi Khakhar, Bhavik Khoa Dang Vo Khubchandani, Sania Khuswatun Hasanah Kotak, Yash Krish Patel Kristina, Marilin Krrish Gupta Laksono Trisnantoro Le Hoang Thuy To Nguyen, Quyen Loan Phuc Le Lucky Mendpara Lyla Ruslana Aini M. Teduh Uliniansyah Machhvara, Jenil Mahek Narwani Makhija, Hitesh Mansi Thummar Manthan Gondaliya Md. Mahmud Hasan Meet Satasiya Meet Shah Meet Shah, Meet Meghwal, Mayank Mehta, Hitarth Mehta, Meet Mendpara, Lucky Mian Usman Sattar Miftachul Huda Milan Dhupper Miswan Gumanti Mohnia, Tiya Monpara, Yesha Muhamad Muslihudin Muhammad Heri Zulfiar Muhammad Miftahussurur Muhammad Nuril Iskandar Muhtadin Arrosyid Muhtadin Asnady Murti, Sri Nagani, Purva Nagdevani, Dev Naik, Pratham Netra Viramgama Ngoc Bich Vu Nia Maharani Raharja Nirav Patel Nishit Patel Nishith Shahu Norjaidi Tuah 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 Pooja Vyas Prajapati, Hetal Prisma Megantoro Quyen Le Hoang Thuy To Nguyen R Rizal Isnanto R Rizal Isnanto R. Rizal Isnanto R. Rizal Isnanto Rachmad Andri Atmoko Rafika Purnama Sari Rahul Chauhan Rahul Chauhan Rahul Chauhan Rahul Chauhan Rahul Chauhan Rais Zulkarnain Raisa, Kharchenko Raithatha, Bhavya Raj Patel Rajapara, Monil Rajkotiya, Abhi Rakesh Shah, Arya Ramchandani, Paras Ramrakhya, Divesh Rara Marselina Jupon Ratanamahatana, Chotirat Ann Rathod, Lakshita Reza Alayi Rika Fetricia Rina Wati Rini Wijayanti Rizal Isnanto Rizal Isnanto, R Rizal Isnanto, R. Rucha Akhani Rudra Patel Sah, Aditya Sakaria, Anuchi Samsukha, Akshita Samtani, Heena Sanskruti Kaneriya Sapra, Ruchi Satria Abadi Satria Abadi Satria, Fiqih Sattar, Mian Usman Seli Aulia Faozi 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 Srinija Nekkanti Store, Shreyas Suda, Pranjal Sudewi Sudewi Sutrisna Sutrisna Suyono Suyono Swastika, Rulin Tanane, Omar Tatiya Padang Tunggal Thacker, Nevil Thakkar, Krish Thakur, Aryan Thanh Nguyen, Phong Thanh Phan, Phuong Tonisha Dixit Tri Ayu Septiana Tri Susilowati Tri Susilowati Triana Dewi Triana Dewi Trisnawati Trivedi, Pratham Unaliya, Maitri Vaghela, Sidhraj Vaja, Hitarthsinh Vasu Patel Vibhu Aghera Viral Patel Viramgama, Netra Vy Dang Bich Huynh Wahidah Hashim Yash Bhanderi Yash Rangani Yash, Panchal Yoeyong Rahsel Yumaira Yus Zalariya, Nihal Zaveri, Krish Zulkifli

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