Jurnal Sosioteknologi

ENVIRONMENTAL ETHICS AND TECHNOCULTURE OF SUNAN MURIA

Nur Said

The Muria Raya ecosystem in Central Java represents a complex intersection of environmental sustainability, local Islamic culture, and contemporary technocultural dynamics. Historically designated as a potential nuclear energy development area and administrative expansion zone. Muria Raya has simultaneously functioned as a sacred ecological space shaped by the ecotheological legacy of Sunan Muria, one of the Wali Songo. This article examines how Sunan Muria’s environmental ethics are reproduced, transformed, and contested within contemporary technoculture. Employing post-structuralist approaches inspired by Foucault and Bourdieu, combined with Barthesian semiotics, this study analyzes symbolic, paradigmatic, and syntagmatic relations embedded in ritual practices, media representations, and grassroots ecological movements. The findings reveal that Sunan Muria’s ecotheology operates as cultural capital that structures power relations and shapes environmentally responsible behavior within the Muria Raya socio-technological ecosystem. This study contributes to sociotechnology discourse by demonstrating how indigenous Islamic ethics can mediate technological development and environmental governance in contemporary Indonesia.

The TREN PENELITIAN HIGHER ORDER THINKING SKILLS DALAM PENDIDIKAN: ANALISIS BIBLIOMETRIK

Rina Rosdiana

This study aims to map publication trends on the topic of higher order thinking skills (HOTs) over the past ten years. The Scopus database was used to analyze 1,044 documents out of 2,262 documents. Data was obtained from the beginning of publication until July 2025*. The search was limited to the subject area of social science, which has been published on Scopus.com. A key finding is that this research has generally experienced an increase in the number of publications. Articles in this bibliometric study discussing HOTs topics, almost all of which are in the top 10, have mostly been published by international journals in quartile 1 (Q1). Only one document is in quartile 3 (Q3). Indonesia ranks first as the country that writes the most HOTs. Second is the United States, and third is Malaysia. The most cited article was written by Farrokhnia et al. (Innovations in Education and Teaching International), followed by Assaraf & Orion (Journal of Research in Science Teaching), and Zohar & Dori (Journal of the Learning Sciences). In its discussion, this study utilizes VOSviewer to display visualizations and interrelated topics. Thirteen clusters were found in the visualization results. However, only six clusters are presented to represent the existing topic clusters. The topic of higher order thinking skills is related to topics such as students, learning, problem-based learning, inquiry, and higher education. These findings highlight the importance of developing HOTS at various levels of education, as well as increasing the use of technology, such as ChatGPT, to support HOTS learning. This research also provides a useful scientific map for understanding the direction of HOTS research development and identifying opportunities for international collaboration in this field.

AMPLIFYING DIGITAL PICTURE SERIES TO TEACH RECOUNT TEXT TO HIGH SCHOOL STUDENT

jauhar helmie

The research entitled Amplifying Digital Picture Series To Teach Recount Text To High School Student. The aims of this research is to investigate the implementation, and to identify the advantages and disadvantages of serial images in teaching writing recount text. This research uses the Canva application in creating the picture series during the research. This study used a qualitative method. This research was conducted at SMA Negeri 1 Cibeber. The class is XI D1 class. The participants were eighteen students, data is taken through observation, and questionnaires. The results of observations collected through video recordings show that teachers carry out lesson plans systematically. All stages of the plan were delivered very well, since the teachers preparing lessons creatively. This shows that the competence of teachers. During the observation it was also noted that when students learn to write recount texts via Canva application, students are more enthusiastic, excited, happy. creative and have more time to do the activities. The results of the questionnaire showed that the Canva application provides many advantages for students to use when learning recount text. Most of the students gave good response because this application allows students to get more time to study, it becomes easier to be creative and helps them to learn to write stories. Nowadays, students tend to feel bored while studying. However, they said they were happy to use this application as an English learning technology because this application helped them learn to write the recount text digitally.

A Student Experiences Using AI for Health Consultation: Self-Diagnosis, Digital Literacy Inequality, and Social Impacts

Princessa Rahimullah Ilham

The rapid integration of artificial intelligence (AI) into students’ everyday lives has reshaped how young people interpret bodily sensations, articulate emotional distress, and construct meanings of illness. University students in Indonesia increasingly consult AI tools such as ChatGPT, Gemini, and digital symptom checkers as the first point of reference before seeking professional care, particularly for anxiety, academic stress, and psychosomatic symptoms. This study investigates how students narrate their experiences of using AI for health consultations, how self-diagnosis emerges through algorithmically generated explanations, and how digital literacy inequality shapes these processes. Using a qualitative narrative approach, eight students from elite and non-elite universities in Surabaya were interviewed and asked to provide AI chat transcripts as narrative artifacts. The analysis draws on Hydén’s concept of Illness Narrative and Kleinman’s Explanatory Models to examine how AI functions as a narrative device that organizes symptoms into coherent storylines. The findings show significant variations: students with high digital literacy tend to evaluate AI outputs critically, while those with lower literacy interpret AI responses literally, leading to heightened anxiety and cycles of cyberchondria. Expert validation from psychologists and digital health scholars confirms that AI-generated narratives hold social meaning but lack clinical validity. The study concludes that AI-mediated self-diagnosis represents a socially constructed phenomenon shaped by literacy gaps, emotional vulnerability, and the growing normalization of digital health practices among Gen Z.

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