Jurnal Sosioteknologi

Readiness for Green Technology Adoption Among Tie-Dye Fabric SMEs: The Role of Green Intellectual Capital Using Binary Logistic Regression

Dina Mellita

This study explores the factors influencing green technology readiness among tie-dye fabric SMEs by including demographic traits and elements of Green Intellectual Capital, such as Green Human Capital, Green Structural Capital, and Green Relational Capital. Data were gathered from 196 respondents and analyzed using binary logistic regression. The results show that the overall model is statistically significant and possesses strong explanatory power, as indicated by a Nagelkerke value of 0.681 and a non-significant Hosmer-Lemeshow test, confirming a good fit. Partial analysis reveals that business size, education level, worker status, Green Human Capital, and Green Structural Capital significantly affect SMEs’ readiness to adopt green technology, while Green Relational Capital has no significant impact. These findings emphasize the importance of internal organizational resources in supporting sustainable technological change within traditional craft industries. The study concludes that improving human capital, strengthening organizational structures, and enhancing internal systems are key strategies for encouraging green technology adoption among SMEs in the creative textile industry

Normalizing Deviance: A Statistical Analysis of Peer Interaction and the Perceived Usefulness of Generative AI in AcademicCheating

Muhammad Rayhan Syauqii

The massive integration of Artificial Intelligence (AI) in higher education has raised ethical dilemmas that blur the line between the use of technology as a learning tool and integrity violations, thus necessitating a deeper understanding of the factors that drive unethical behavior in the digital age. This study aims to analyze the influence of peer interaction and perceptions of the ussefulnes of AI on students' tendency to commit academic cheating. This study uses a quantitative approach with a survey method of 81 Sociology students selected through stratified random sampling. Data were collected using a questionnaire with 10-point rating scale (1-10) and analyzed using multiple linear regression. The results show that both independent variables simultaneously have a very significant effect on academic cheating (F-test, Sig. < 0.001) and can explain 58.9% of the variation in this behavior (Adjusted R Square). Partially, perceived ussefulnes (Beta = 0.614) proved to be a more dominant predictor than peer interaction (Beta = 0.208). These findings contribute theoretically by validating Differential Association Theory in the context of deviant learning, indicating that academic cheating is a social behavior normalized by peer environments and strongly rationalized by the efficiency offered by AI.

Sociotechnological Analysis of Platform Innovation Development for the Nusantara Islamic Religious Tourism through Design Thinking as Market Penetration Strategy

Yusrina Nuranisa Rahmatika, Octaviyanti Dwi Wahyurini

The Islamic religious tourism in Indonesia, its general prognosis is favorable, however it continues to contend with numerous hurdles. One of them is the low utilization of technology due to unclear perceived benefits and misfit strategies with social-culture system. This encourages us to innovate in order to form an omni-channel. Thus, it enables the pilgrims to engage with the site through both accessible online experience and physical attendance. Concurrently, the use of technology is a must to enter the era of society 5.0.

This study aimed to find the user personas and appropriate features of Nusantara Islamic religious tourism platform service, as well as finding the pertinent strategies to penetrate the target market. The methodology used the principle of design thinking theory, which was implemented with empathize, define, ideate, prototype, and test stages. Additionally, the adoption theory was also incorporated to formulate the effective market penetration strategies. The research method was conducted with quantitative and qualitative approaches. The subjects were smartphone users within the Ahlusunnah Wal Jama’ah (ASWAJA) Muslim community in Nusantara. Data were collected through 4 in-depth interview participants, 32 questionnaire respondents, and 10 prototype evaluators.

The findings revealed that the validated features to fulfill the users’ needs are (1) Religious Tourism, (2) Hotel Booking, (3) Worship Guidance. These align well with the needs of travelers seeking spiritual experience. Also, discovered two extremes of adoption category that correspond to both Blue and Red Ocean Strategy. At last, the study indicates that technology significantly contributes to cultural, religion, and social aspects.

PHILOSOPHY AND TECHNOLOGY: THE IMPACT OF AI ON HUMAN THOUGHT AND ETHICS FROM IMMANUEL KANT'S PERSPECTIVE

Arlie Luqmansyah

Keywords:

artificial intelligence, human thought, Immanuel Kant's ethics.

ABSTRACT

This article explores the impact of artificial intelligence (AI) on human thought and its ethical dimensions through the perspective of Immanuel Kant's philosophy. Using a philosophical analysis approach and literature review, this research identifies general phenomena of AI development, specific issues related to human cognitive change and ethical challenges, and the urgency of research to anticipate risks to human autonomy. Data from official reports such as the World Economic Forum (2023) and journal studies such as Bostrom (2014) indicate that AI not only increases efficiency but also raises ethical dilemmas such as violations of Kant's categorical imperative. The analysis emphasizes the need for a Kantian ethical framework to mitigate negative impacts, with implications for technology and education policy

Land Function Transfer of Green Open Space Design in Residential Areas in Rancasari District, Bandung City

Ina Revayanti

Land Function Transfer of Green Open Spaces (RTH) in the Rancasari District Residential Area of Bandung City was conducted by assessing land availability based on land ownership, spatial planning regulations, the types of RTH, field observations, as well as the accessibility, services, and distribution of RTH. The research study aims to gather accurate information and data on the current state of green spaces. This data will be used as a basis for designing and developing green spaces that meet the needs of the community and the surrounding environment. The study method used is a quantitative method based on positivism (concrete data) and Geographic Information System (GIS) or Geographic Information spatial data on green open spaces (RTH). The focus of the survey, research, and design of green open spaces (RTH) in the residential environment of Rancasari District, Bandung City, is on analyzing the current situation and the community's needs to create optimized and sustainable green open spaces.

Keywords: RTH, Residence Park, Rancasari District.