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Greenation International Journal of Engineering Science
Published by Greenation Research
ISSN : 2986089X     EISSN : 29860326     DOI : https://doi.org/10.38035/gijes
Core Subject : Engineering,
Greenation International Journal of Engineering Science (GIJES) is a peer-reviewed journal managed and published by Greenation Research & Yayasan Global Resarch National. GIJES is published four times a year, in March, June, September, and December. GIJES provides a platform for academics, researchers, and practitioners to publish scientific articles. The scope of articles listed in this journal is related to various topics such as Engineering Education, Civil Engineering, Electrical Engineering, Informatics Engineering, Craft Engineering, Architectural Engineering, Industrial Engineering, Mechanical Engineering, Environmental and Safety Technology, Basic Chemical Engineering, and Applied Chemistry, Transportation Engineering, Geology & Mining Engineering, Marine & Naval Engineering, and other related engineering fields.
Articles 131 Documents
Optimization Techniques in Real Estate Investment Portfolios: A Quantitative Approach Tarang Patel; Pushpendra Singh; Deepak Dhaakad; Sidhraj Vaghela; Rahul Chauhan; Andino Maseleno; R Rizal Isnanto
Greenation International Journal of Engineering Science Vol. 1 No. 4 (2023): (GIJES) Greenation International Journal of Engineering Science (December 2023)
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i4.263

Abstract

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.
The Role of Price and Product Quality in Increasing Consumer Purchase Interest (Marketing Management Literature Review) Reni Silviah
Greenation International Journal of Engineering Science Vol. 1 No. 4 (2023): (GIJES) Greenation International Journal of Engineering Science (December 2023)
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i4.281

Abstract

Literature Review The Role of Price and Product Quality in Increasing Purchase Interest is a scientific article with the aim of analyzing whether price and product quality play a role in purchase interest. The method of writing a literature review article is the library research method, which is sourced from online media such as Google Scholar, and other online media. The results of this article are: 1) Price plays a role in Purchase Interest; 2) Product Quality plays a role in Purchase Interest. Apart from these 2 exogenous variables that influence the endogenous variable of Purchase Decisions, there are many other factors including customer satisfaction, consumer reviews, trust, brand image.
The Role of Product Quality and Consumer Satisfaction in Increasing Consumer Loyalty (Marketing Management Literature Review) Siska Aprelyani
Greenation International Journal of Engineering Science Vol. 1 No. 3 (2023): (GIJES) Greenation International Journal of Engineering Science (September 2023
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.283

Abstract

Literature Review The Role of Product Qualityand Consumer Satisfaction in Increasing Consumer Loyalty is a scientific article with the aim of analyzing whether product quality and consumer satisfaction play a role in consumer loyalty. The method of writing a literature review article is the library research method, which is sourced from online media such as Google Scholar, Mendeley and other online media. The results of this article are: 1) Product Quality plays a role in Consumer Loyalty; 2) Consumer Satisfaction plays a role in Consumer Loyalty; Apart from these 3 exogenous variables that influence the endogenous variable of Purchasing Decisions, there are still many other factors including brand image, promotion, price.
Perceptions of Electric Vehicle Adoption among Young Adults in Ahmedabad: Exploring Influences and Implications Hitarth Mehta; Lakshita Rathod; Fenil Shah; Aum Bhatt; Jenil Machhvara; Rahul Chauhan; Andino Maseleno
Greenation International Journal of Engineering Science Vol. 1 No. 4 (2023): (GIJES) Greenation International Journal of Engineering Science (December 2023)
Publisher : Greenation Research

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

Abstract

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 Keshav Chahwala; Chavda Shubham; Nihal Zalariya; Aryan Dhruv; Arya Rakesh Shah; Rahul Chauhan; Andino Maseleno
Greenation International Journal of Engineering Science Vol. 2 No. 4 (2025): (GIJES) Greenation International Journal of Engineering Science (December 2024
Publisher : Greenation Research

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

Abstract

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.
Multimedia Development Life Cycle Method in Designing Interactive Learning Media for Introducing Basic Religious Knowledge at the Quran Learning Center Fata Nidaul Khasanah
Greenation International Journal of Engineering Science Vol. 2 No. 3 (2024): (GIJES) Greenation International Journal of Engineering Science (September - No
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v2i3.330

Abstract

Education is a crucial element in shaping an individual's character and abilities, especially from an early age. In one Quran Learning Center (TPA), the learning process still faces challenges due to a lack of varied teaching methods, which reduces children's understanding of essential subjects such as the Pillars of Islam, the Pillars of Faith, and the Arabic alphabet (Hijaiyah). This study aims to develop and implement an interactive learning medium based on Adobe Flash as an innovative solution to enhance the quality of learning at TPA. The research method used is the Multimedia Development Life Cycle (MDLC). The developed learning medium integrates visual, audio, and interactive features such as animations and quizzes, creating an engaging and enjoyable learning environment for children. The research findings indicate that the designed application meets the expected results in its functional testing. Furthermore, during the distribution stage, the application was exported in *.exe format, making it easy to use on computer devices.
Impact of Artificial Intelligence and Digital Technologies on Consumer Behavior and Brand Perception: A Study of Young Consumers in Ahmedabad Akshita Samsukha; Pratham Trivedi; Vansh Baldi; Shreyas Store; Pratham Naik; Rahul Chauhan; Andino Maseleno; Kharchenko Raisa
Greenation International Journal of Engineering Science Vol. 1 No. 4 (2023): (GIJES) Greenation International Journal of Engineering Science (December 2023)
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i4.339

Abstract

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.
Enhancing Operational Excellence: Through use TQM, Lean and 6 Sigma Avesh Patil; Salim Shamsher; Analjyoti Basu
Greenation International Journal of Engineering Science Vol. 2 No. 4 (2025): (GIJES) Greenation International Journal of Engineering Science (December 2024
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v2i4.347

Abstract

Considering the cutthroat competition organizations are using multiple avenues including operational excellence (OpEx or OE) to enhance processes, improve operational efficiency, and mint products and services with highest quality levels to customers. This study is about use of Quality Tools to achieve the same. This study is also about way these quality tools are used to effectively deliver change of quality levels in the companies. This research also shows that beyond the quality tools there are systematic approaches to improve quality by adopting cluster tools like Total Quality Management (TQM), Six Sigma, Lean Six Sigma, Total Productive Maintenance (TPM), and to some extent Continuous Improvement (CI).
Excellence Of The Quality Tools And Their Application: The Quality Professionals’ Perspective Avesh Patil; Salim Shamsher; Analjyoti Basu
Greenation International Journal of Engineering Science Vol. 2 No. 3 (2024): (GIJES) Greenation International Journal of Engineering Science (September - No
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v2i3.348

Abstract

Quality tools are the ones that give cutting edge to the process or business. It carries remarkable weightage when it comes to the deliverables. A proper use of quality tool can provide break through improvements in quality, efficiency and the business results. The selection of such tools hence is very important. However, in spite of the importance the tools used may not be on the merit and may just get into place by a single person’s opinion or a trend or the thing in vogue or based on what the peers and competitors are using. Some times that tools are used only to show that it is part of their stable. This sorry state of selection is very common and companies end up paying hefty amounts for tool that are not good for them and are just a part of the introduction page of the organization. This paper is based on the study of the tools, their usage and their perceive benefits to assign a number to the tool that will tell the unitality or goodness of the tool for the purpose. There is not recommendation of a single tool for a purpose but it gives you a range of tools and range of alternatives that the user need to select from so that the purpose is met. The paper has two distinct parts, one sharing the name of the tools and their usage so that the user is aware what they are looking at and the other part is about the utility of these tools basically for improving quality of the product or process. Whever rating is done, the assessor needs to be well versed with the entity. Since there are quite a few tools considered here, it becomes very challenging to get right juries or assessors to rate the tools. However, thanks to the development of the Automobile Industry over past 140 odd years, which uses most of the tools under consideration, there are ample number of professionals who authoritatively can comment about the goodness of the tools. For this paper these were the group of elite professionals who were contacted. These are head of the department of quality, holding positions like President, Vice president, Directors, Senior General Mangers and so on. There were other senior professionals like Six Sigma Master Black Belt, Black Belts from reputed agencies like American Society of Quality (ASQ) and likes. most of these professionals were from Automobile OE manufacturers producing Cars, Trucks, Tractors & Farm Equipments, Two wheelers and Engine manufacturers. Based on their experience they rated these tools in 1 to 10 scale, 10 being the ones having most significant effect on quality improvement efforts and 1 being very low effect on quality improvement. The output of the research is in the form of a number assigned to the tool that tells about how effective this tool is in relation to the efforts to improve quality. Higher the number better the tool for the purpose.
Implementation of the Apriori Algorithm for Product Arrangement in a Minimarket Ridwan Ridwan; Hendarman Lubis
Greenation International Journal of Engineering Science Vol. 2 No. 4 (2025): (GIJES) Greenation International Journal of Engineering Science (December 2024
Publisher : Greenation Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v2i4.352

Abstract

This research aims to implement the Apriori algorithm to analyze customer purchase patterns and provide recommendations for product placement in Indomaret Perjuangan Bekasi. Data mining techniques, specifically the Apriori algorithm, are applied to transaction data collected from the store between March 1 and April 1, 2025. The primary objective is to identify frequent itemsets and generate association rules that reveal which products are frequently purchased together, providing insights into customer purchasing behavior. The research begins by preprocessing the data into a format suitable for analysis using Weka, a data mining tool. The Apriori algorithm is then applied to uncover product combinations that occur frequently in transactions. Based on the association rules generated, the study recommends optimal product placement strategies to enhance customer convenience and increase cross-selling opportunities. The results show that certain product combinations, such as bread, jam, and milk, and instant noodles, eggs, and sauce, exhibit strong association, with a support of 0.25 and confidence of 0.75 for bread, jam, and milk, and support of 0.20 and confidence of 0.80 for instant noodles, eggs, and sauce. These findings suggest that placing these products in close proximity on the shelves can improve customer shopping experiences and increase sales. Additionally, combinations like coffee, sugar, and milk show a support of 0.15 and confidence of 0.85, indicating strong purchasing patterns. However, the study also acknowledges limitations, such as the small scope of the data and the focus on a single location. The study emphasizes that further research with larger datasets and multiple locations could provide more robust insights. This research demonstrates the practical application of data mining techniques in the retail sector, showing how the Apriori algorithm can optimize store operations and product placement. It provides valuable insights that can help retailers enhance customer satisfaction, streamline inventory management, and boost sales through data-driven decision-making.

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