BISSTECH Bali International Seminar on Science and Technology

Exploring How Artificial Intelligence Mediates the Link Between Economic Behavior and Happiness

2024-08-21T23:34:41+00:00

This research uses structural equation modeling (SEM) analysis to examine the influence of economic behavior on artificial intelligence and happiness among 180 students at Bahaudin Mudhary University (UNIBA) Madura. The analysis results show that behavioral economics has a significant influence on artificial intelligence, and students who practice good financial management tend to better understand and utilize this technology. Furthermore, research has proven a significant relationship between artificial intelligence and happiness, suggesting that students' engagement with AI technology can enhance their levels of happiness. However, the effect of economic behavior on happiness is not significant, indicating that other factors, such as social support and the learning environment, play a more important role in determining student happiness. These findings provide important insights for the development of educational programs at UNIBA, with a focus on technology integration and increased social support to improve students' overall well-being.

Mapping About The Family Blue Economy: Analysis By Bibliometrics

2024-08-21T23:48:46+00:00

The family blue economy refers to sustainable and environmentally friendly economic activities carried out by families living in coastal areas. The aim of this research is to identify research trends and main findings regarding the family blue economy. By using a scientific database from Google Schoolar with the keyword coastal family blue economy from 2010 – 2024. The research results show that many researchers have conducted research related to the topic of family blue economy, but the articles they have written are still relatively few. On average, one article consists of 3 to 4 researchers. Collaboration between researchers is increasing from year to year and shows a positive trend, meaning that researchers are increasingly interested in researching the topic of the family blue economy. Meanwhile, for density, the best and most extensive level of research depth among all authors is Wheeler. It is necessary to carry out deeper and more comprehensive studies on the family blue economy so that various aspects of the solutions offered are found based on the results of the researchers' research.

Optimization Of The Shrimp Paste Production Process Using the Linear Programming Method as an Application of the Blue Economy (Case Study in PTBJ Badur Sumenep)

2024-08-21T23:54:33+00:00

Blue economy is a term that refers to economic sectors related to the sea and marine resources, Fisheries itself plays an important role in the Indonesian economy because this country has one of the richest and diverse fishery resources in the world, Sumenep Regency is one of the regions that has great potential in the blue economy sector, especially in the fisheries sector, One of the products from fisheries is terasi or shrimp paste, yet there are several issues, including not knowing how to make the optimal shrimp paste. By using linear programming, companies can make more informed and strategic decisions in efforts to achieve profit maximization within a complex and limited environment constrained by various limitations. From this research using linear programming, it is determined that Berkah Jaya Terasi Company will be optimal if it produces 215 boxes per week of Premium Shrimp Paste and 170 boxes per week of Premium Fish Paste, resulting in a maximum profit of Rp. 1,755,000 per week.

Implementation of the Blue Economy in Mangrove Ecotourism to Enhance Sustainable Economy in Sumenep Regency

2024-08-22T00:07:57+00:00

Penelitian ini meneliti peran sektor ekonomi biru dalam memperkuat ketahanan ekonomi di wilayah pesisir dan laut. Melalui analisis regresi, ditemukan bahwa variabel ekonomi biru memiliki koefisien positif, menunjukkan kontribusi signifikan terhadap ketahanan ekonomi. Hasil analisis menunjukkan bahwa peningkatan satu satuan dalam ekonomi biru dapat meningkatkan ketahanan ekonomi sebesar 19,5%, dengan variabel lainnya konstan. Nilai R² sebesar 0,350 menunjukkan bahwa 63,50% variasi dalam ketahanan ekonomi dapat dijelaskan oleh ekonomi biru, sementara 36,50% lainnya dipengaruhi oleh faktor-faktor lain seperti kebijakan fiskal dan moneter, kondisi politik dan sosial, perkembangan teknologi, serta kondisi eksternal seperti perubahan iklim dan dinamika ekonomi. Pengujian regresi linier sederhana memperlihatkan bahwa variabel ekonomi biru memiliki nilai signifikan sebesar 0,000, yang menunjukkan pengaruh positif dan signifikan terhadap ketahanan ekonomi. Penelitian ini menegaskan pentingnya pengembangan sektor ekonomi biru untuk mendukung ketahanan ekonomi yang berkelanjutan, sambil mempertimbangkan berbagai faktor lain yang juga berpengaruh.

Tourism Marketing Strategies in Increasing rhe Number of Tourist Visitors in Sumenep District

2024-08-22T00:12:35+00:00

The Sumenep district's potential in the tourism industry undoubtedly calls for marketing and development strategies to boost visitor numbers, which are crucial in boosting the district's original regional income or the original income of nearby villages, allowing them to gain more recognition on a provincial, national, and even international scale. Finding and analyzing tourism marketing techniques to boost tourism in Sumenep Regency is the goal of this study. This study employed a mixed-methods approach, drawing on two main sources: questionnaires and interviews. This study's sample is based on Roscoe's hypothesis, which calls for 20 X research variables, or 5 variables for every 100 respondents. Internal Factor Evaluation (IFE) and External Factor Evaluation (EFE) Matrix analysis is the data analysis method utilized in this study. "Attractiveness of tourist attractions" is the most significant strength element for the Sumenep Regency Culture, Youth, Sports, and Tourism office in marketing tourism in Sumenep Regency, according to the results of the Internal Evaluation Matrix. Meanwhile, "Inadequate restaurants" is the most noticeable flaw. According to the findings of the External Factor Evaluation Matrix, "The role and commitment of local government in developing and promoting tourism objects" is the most significant opportunity factor in Sumenep Regency's tourism marketing. In the meantime, "tourist attractions are also found outside Sumenep district" is the most significant threat element. The research suggests that increasing and developing appealing tourist advertising as well as developing product differentiation based on local culture—a feature of Sumenep district tourism—would be a strategic option

Implementation of the Certainty Factor Method in a Decision Support System for Diagnosing Diseases in Large Red Chili Plants at the Gapura Agricultural Extension Center

2024-08-22T00:28:22+00:00

All articles must contain an abstract. The abstract text should be formatted using 10 point Times or Times New Roman and indented 25 mm from the left margin. Leave 10 mm space after the abstract before you begin the main text of your article, starting on the same page as the abstract. The abstract should give readers concise information about the content of the article and indicate the main results obtained and conclusions drawn. The abstract is not part of the text and should be complete in itself; no table numbers, figure numbers, references or displayed mathematical expressions should be included. It should be suitable for direct inclusion in abstracting services and should not normally exceed 200 words in a single paragraph. Since contemporary information-retrieval systems rely heavily on the content of titles and abstracts to identify relevant articles in literature searches, great care should be taken in constructing both.

ECONOMIC GROWTH AND POVERTY IN INDONESIA 2018-2022

2024-08-22T00:31:11+00:00

Economic growth and poverty in Indonesia. The purpose of this study is to determine economic growth and poverty in Indonesia using secondary data obtained from the Central Bureau of Statistics. During the observation period from 2018 to 2022, Indonesia's economic growth tends to increase every year, but the poverty rate in Indonesia tends to decrease every year. High economic growth is expected to improve the well-being of the people, but similar to what happens in West Papua Province, where the average rate of economic growth is the highest, high economic growth in a region can improve the well-being of the people in that region. This is wrong. guarantee. The state has the second highest percentage of people living in poverty. Or after the province of Papua. This phenomenon shows that economic growth is not pro-poor. The Western Indonesia (KBI) region is in a relatively better situation than the Eastern Indonesia (KTI) region in terms of both economic growth and poverty indicators. The Eastern Indonesia Region (EIR) and some of its constituent regions are included in the category of underdeveloped regions. Governments must make serious efforts to reduce regional development disparities, promote regional economic growth and strengthen poverty reduction programs. This is because it will cumulatively impact the entire Indonesian economy.

A COMPARATIVE STUDY OF ANOMALIB AND RULE-BASED MODELS FOR DETECTING CHAIN JUMPING IN CAR ENGINE MANUFACTURING

2024-08-22T00:39:16+00:00

In the evolving landscape of Industry 4.0, the automotive manufacturing sector is increasingly relying on artificial intelligence (AI) to automate processes previously handled manually. This study addresses the need for automated detection of chain jumping in car engine production, a task traditionally performed by humans. The goal is to identify the best model for anomaly detection to enhance efficiency and reduce human intervention. We leverage Anomalib, a comprehensive library for anomaly detection, and evaluate four of its prominent models: DRÆM, Efficient AD, Padim, and Patchcore. Additionally, we compare these AI models against a traditional rule-based approach that uses color detection at specific positions through conventional image recognition techniques. The models were assessed based on two key evaluation metrics: recall and accuracy. The training dataset comprised 400 samples, split evenly between OK and NG (Not Good) conditions. Validation was conducted using a separate dataset, and the results were averaged for final comparison. Our findings reveal that the Patchcore model outperforms others, achieving a recall of 99.44% and an accuracy of 97.64%. Interestingly, while other AI models did not surpass the rule-based approach, the rule-based method achieved a recall of 98.75% and an accuracy of 96.31%, making it the second-best performer. This suggests that while AI offers significant advantages, it is not always superior to traditional methods. Nevertheless, Patchcore is selected as the optimal solution for detecting chain jumping due to its superior performance in both accuracy and recall.

PRODUCTION PERFORMANCE MANAGEMENT IN TOBACCO AGROINDUSTRY IN BATUMARMAR PAMEKASAN DISTRICT

2024-08-22T01:03:47+00:00

This research aims to determine production performance management in the tobacco agro-industry in Batumarmar District, Pamekasan Regency. The analysis technique used in this research is multiple linear regression analysis or Ordinary Least Squares (OLS) on data that has been in Natural Logarithms (Ln), primary data obtained from 99 respondents selected using a purposive sampling technique. The research results show that the regression model of production performance management in the tobacco agro-industry in Batumarmar District, Pamekasan Regency shows that partially the variables of land area, number of seeds and labor have a significant effect on tobacco production. Meanwhile, the variable amount of fertilizer and pesticide does not have a significant effect on tobacco production. However, if seen simultaneously the variables of land area, number of seeds, amount of fertilizer, pesticide and labor have a significant effect on tobacco production on mountain land in Batumarmar District. It is hoped that tobacco farmers will utilize optimum production factors, especially in increasing the quality and quantity of seeds and labor. The productivity of the land area is increased through technological updates in fertilization and seeding, so that it can produce maximum tobacco production with good performance management in the tobacco agro-industry in Batumarmar, Pamekasan Regency

Increasing Production Efficiency in Konveksi MSMEs by Applying the 5R Method (Case Study: CV Melly Konveksi)

2024-08-22T01:16:09+00:00

This research aims to analyze the initial production conditions at CV Melly Konveksi before implementing the 5R method (Concise, Neat, Clean, Careful and Diligent), evaluate the impact of implementing the 5R method on production efficiency, and provide solutions regarding the use of the patchwork produced. CV Melly Konveksi, which is located in Bangkal and operates in the sportswear production sector, faces a number of problems related to irregular storage, poor cleanliness of the work area, and lack of employee discipline in maintaining the work environment. The application of the 5R method aims to improve the quality of control and productivity through better organization, cleanliness, machine maintenance and the formation of good habits among employees. The research results show that implementing 5R as a whole can increase production efficiency, reduce search time for goods, and minimize the risk of errors and damage. Apart from that, this research also offers creative solutions to utilize the patchwork produced, so that it can support the sustainability of CV Melly Konveksi's business. It is hoped that this research can be a reference for future researchers and provide practical recommendations for similar MSMEs in implementing the 5R method to achieve better operational efficiency.