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INDONESIA
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences)
Published by Universitas Slamet Riyadi
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education, Social,
Computer Science & IT Education Social Sciences
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Articles 560 Documents
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Agronomic Performance and Disease Incidence of True Shallot Seed (TSS) Across Altitudinal Gradients and Plant Density Levelsy Levels Kharis Triyono; Merkuria Karyantina; Sartono Joko Santosa
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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Abstract

True Shallot Seed (TSS) technology offers a sustainable alternative to conventional bulb-based propagation; however, its agronomic performance and disease incidence across contrasting agroecological conditions remain poorly understood. This study aimed to evaluate the effects of altitude and plant density on growth, yield formation, and disease incidence of F1 hybrid TSS shallots. A factorial randomised complete block design was employed with three altitude levels (<200 m, 400–750 m, and >900 m a.s.l.) and five plant densities (200,000 to 1,000,000 plants ha⁻¹). Results showed that altitude was a primary limiting factor, with lowland conditions producing the highest vegetative growth and fresh bulb yield (14.23 kg plot⁻¹), while highland environments suppressed growth and increased disease incidence to 47.0%. Plant density exerted a dominant effect through yield compensation; although the highest density (1,000,000 plants ha⁻¹) reduced individual bulb size, it generated the greatest fresh (18.67 kg plot⁻¹) and dry bulb yields (15.86 kg plot⁻¹), representing increases of 126% and 121% over the lowest density, respectively. Notably, high-density stands exhibited lower disease incidence (31%) compared to moderate densities (41%), suggesting an inoculum dilution effect. Cultivation of TSS in lowland environments at high plant density is recommended to maximise productivity and enhance disease resilience, supporting sustainable intensification of shallot production in tropical regions.
Representing Socioeconomic Inequality in Pangku: An SDG 10 Perspective Hanifah Salsabila; Laudya Galuh Arneta; Christian Andhika Pramudia
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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Socioeconomic inequality extends beyond income disparities to include constrained employmentchoices, discriminatory treatment, and unequal access to essential services. This study examineshow socioeconomic inequality is represented in Pangku and explains its relevance to Targets10.2 and 10.3 of Sustainable Development Goal (SDG) 10. It employed an interpretivequalitative approach and media text analysis informed by Stuart Hall’s constructionist theory ofrepresentation. Primary data were collected through repeated viewings and systematicdocumentation of the entire film. Two key scene sequences were selected based on their depictionof constrained opportunities, unequal treatment, and the strength of their narrative andaudiovisual elements. The data were analyzed through data condensation, data display, andconclusion drawing and verification. The findings show that Sartika’s occupational transitionrepresents the constrained employment choices available to economically disadvantaged womenand the commodification of the female body. Meanwhile, the rejection of Bayu’s schoolenrollment represents administrative exclusion that restricts equal access to education. Together,these sequences construct inequality as a multilayered process operating through gender,employment, family status, administrative requirements, and education, with consequences thatmay persist across generations. SDG 10 is used as a contemporary interpretive framework for afilm set during Indonesia’s 1998 economic crisis rather than as a direct measure of policyachievement. This study contributes to research on film representation by linking the experiencesof vulnerable groups to the principles of inclusion and equal opportunity.
Analysis of the Effect of Taste, Service Quality, and Electronic Word of Mouth (E-WOM) on Consumer Satisfaction at Pesenkopi Café Jombang Multhohirin Maury Setyoko; Henny Dwijayani; Rubait Dasururi; Linda Ratna Sari Sari; Aslichah Aslichah; Betty Rahayu
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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Consumer satisfaction has become one of the most important indicators of business sustainability. This study aims to analyze the influence of taste, service quality, and electronic word-of-mouth (E-WOM) on consumer satisfaction at Pesenkopi Café Jombang. The rapid growth of the café industry in Indonesia has made consumer satisfaction a crucial factor for business survival. Several factors-including taste, service quality, and E-WOM influence consumer satisfaction. This study employs a quantitative approach with a causal-associative research design. The sample consists of 100 respondents selected via purposive sampling, based on the criterion that they had previously purchased and consumed products at Pesenkopi Café Jombang. Data were collected through questionnaires and subsequently analyzed using multiple regression with SPSS 26. The results indicate that taste, service quality, and E-WOM all have a positive and significant influence on consumer satisfaction. The analysis reveals that 65.6% of the variance in consumer satisfaction is explained by the variables of taste, service quality, and E-WOM, demonstrating that these factors possess substantial explanatory power. These findings suggest that enhancing service quality, maintaining product taste consistency, and effectively managing electronic word-of-mouth are key to increasing consumer satisfaction at Pesenkopi Café Jombang.
What Drives Customer Adoption of BYOND BSI? Evidence from Islamic Digital Banking Dewi Febby Ayuningtyas; Maulida Nurhidayati
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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Abstract

BSI KCP Surabaya Klampis uses the Byond application as a digital mobile banking innovation to facilitate customer transactions. However, the adoption rate of the Byond application is still relatively low compared to the total number of BSI customers. This study aims to analyze the influence of perceived usefulness, perceived ease of use, perceived risk, and trust on customers decisions to use the Byond application. This study used a quantitative approach with a sample of 100 respondents selected through accidental sampling. Data were collected through questionnaires and analyzed using multiple linear regression, validity tests, reliability tests, and classical assumption tests. The results show that perceived usefulness and perceived ease of use have a positive and significant effect on customers’ decisions to use the Byond application. Meanwhile, perceived risk and trust do not have a significant effect. Simultaneously, all variables influence customer decisions with a coefficient of determination value of 78.8%. Perceived usefulness and perceived ease of use are the significant direct predictors of customers’ decisions to use the Byond application, whereas perceived risk and trust are not statistically significant in this sample. Therefore, Bank Syariah Indonesia should prioritize improvements that increase functional usefulness, transaction efficiency, and ease of navigation, while maintaining security and reliability as essential service standards.
The Correlation Between Online Gaming Habits and Vocabulary Mastery of Seventh-Grade Students at SMPN 18 Surakarta Dixon Valencia Wibowo; Lukman Al Hakim
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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This study aimed to examine whether there was a significant correlation between online gaming habits and vocabulary mastery among seventh-grade students at SMPN 18 Surakarta. A quantitative correlational research design was employed involving 31 students as the research sample. Data were collected using a questionnaire to measure students’ online gaming habits and a vocabulary test to assess their vocabulary mastery. The collected data were analyzed using the Pearson Product-Moment correlation technique through manual calculation and IBM SPSS Statistics. The findings revealed that the mean score of students’ online gaming habits was 54.97, while the mean score of vocabulary mastery was 74.97, indicating a high level of vocabulary mastery. The correlation analysis showed that the correlation coefficient (r) was 0.861 with a significance value of 0.000, which was lower than 0.05. These results indicate a very strong and statistically significant positive correlation between online gaming habits and students’ vocabulary mastery. In other words, students with higher levels of online gaming habits tended to demonstrate better vocabulary mastery. It can be concluded that online gaming habits positively contribute to students’ vocabulary mastery by providing meaningful and contextual exposure to English vocabulary during gameplay.
Primary School Teachers' Perceptions of Artificial Intelligence to Support Deep Learning: A Descriptive Survey Oktiana Handini; Ema Butsi Prihastari; Hartini Binti Ismail
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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Abstract

The use of Artificial Intelligence (AI) in elementary education is emerging as an alternative to support more in-depth, adaptive, and student-centered learning. However, the implementation of AI in elementary schools is closely related to teachers' perceptions, experiences, digital competencies, and supporting conditions. This study aims to describe elementary school teachers' perceptions of the use of AI to support deep learning and to identify the experiences, benefits, and obstacles reported by teachers in its use. The study used a descriptive survey design supplemented by qualitative interviews. Participants consisted of 25 elementary school teachers from public and private schools. Quantitative data were collected through questionnaires and analyzed using frequencies and percentages, while qualitative data were obtained through semi-structured interviews and analyzed through data reduction, data presentation, and drawing conclusions. The results showed that 18 teachers (72%) stated their support for the use of AI as a learning medium, while 7 teachers (28%) did not support its direct use in learning. Teachers who supported AI reported that AI helped develop teaching materials, search for learning resources, create learning media, and provide materials that were more tailored to students' needs. Meanwhile, teachers who did not yet support AI reported concerns about student dependency, limited digital competency, limited devices and internet access, and the accuracy of information generated by AI. Interview findings reinforce this pattern and indicate that teachers view AI as a supporting tool that still requires supervision and active teacher involvement. This study provides an empirical overview of teachers' perceptions and experiences regarding the use of AI to support immersive learning in elementary schools.
Public Policy Strategies for MSME Digital Transformation: Promoting Sustainable Economic Growth and Reducing Inequalities in Surakarta, Indonesia Joko Pramono; Ardiyansah Ardiyansah
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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This study examines how public policy strategies support MSME digital transformation and how these strategies contribute to sustainable local economic growth and reduced inequalities in Surakarta, Indonesia. The study responds to concerns that digitalisation can widen inequalities when MSMEs differ in capital, digital skills, managerial capability, infrastructure access, and market opportunities. Using a qualitative descriptive design, data were collected through in-depth interviews, field observations, and document analysis involving 20 informants: 11 MSME owners, five local government officials, and four digital ecosystem stakeholders. The findings show that digital transformation among MSMEs occurs along a continuum, from basic communication-oriented adoption to integrated digital business practices involving marketplaces, digital payments, stock monitoring, and online promotion. Local government support has encouraged formalisation, digital literacy, QRIS adoption, marketplace participation, product certification, and collaboration with banks, universities, platforms, and MSME communities. However, elderly-owned businesses, traditional micro-enterprises, women-led home businesses, and peripheral MSMEs remain vulnerable because they face limited skills, unstable internet access, high platform costs, weak digital security capacity, and limited follow-up mentoring. The study proposes an integrated policy strategy connecting digital capacity strengthening, infrastructure and platform access, financial and institutional support, regulatory facilitation and data governance, and multi-stakeholder collaboration. The study argues that inclusive digital transformation should be measured not only by the number of MSMEs using digital tools, but also by sustained use, improved productivity, safer transactions, wider market access, and reduced capability gaps.
Study on the Application of Seaweed Extract and NPK Fertilizer on the Growth of Black Potato (Plectranthus rotundifolius) Okky Chandra Kumara; Dewi Ratna Nurhayati; Avisema Sigit Saputro
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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Abstract

Black potato (Plectranthus rotundifolius) is a potential alternative food crop to substitute rice. However, its low productivity in Indonesia currently averaging around 15 tons/ha is influenced by factors such as sub-optimal nutrient supply and limited availability of high-quality planting materials. This study aims to examine the effect of applying seaweed extract as a biostimulant along with NPK fertilizer (16-16-16) on the growth and yield of black potato. The research was conducted at the Experimental Farm of the Faculty of Agriculture, UNISRI, Surakarta (130 m a.s.l.). A 4 x 4 factorial Completely Randomized Design (CRD) with three replications (totaling 48 experimental units) was employed. The first factor was the dosage of seaweed extract (0, 1, 2, and 3 mL/L), and the second factor was the NPK dosage (0, 200, 400, and 600 kg/ha). Data were analyzed using Analysis of Variance (ANOVA) followed by Honestly Significant Difference (HSD) test at the 5% significance level. The results showed a significant interaction between seaweed extract and NPK fertilizer on plant height, with the best combination observed at 3 mL/L seaweed extract and 600 kg/ha NPK (34.6 cm). Meanwhile, no interaction was found for the number of branches; however, each single factor had a significant effect. The single treatment of 3 mL/L seaweed extract produced the highest number of branches (15.5 branches), while 600 kg/ha NPK alone yielded 15.1 branches.
The Role of Energy Mix (Coal, Renewables, Natural Gas) on Economic Growth and CO2 Emissions in Developing Countries Thivyah Ramais; Nurshila Ahmad
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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Energy consumption plays a critical role in shaping economic growth and environmental outcomes, particularly in developing countries experiencing rapid industrialization and rising energy demand. This study examines the impact of the energy mix specifically coal, renewable energy, and natural gas consumption on economic growth and CO₂ emissions in developing countries. Using annual panel data from 30 developing countries over the period 2014–2023, the study employs a quantitative panel econometric approach, applying Pooled Ordinary Least Squares (POLS), Fixed Effects Model (FEM), and Random Effects Model (REM), with the Hausman specification test used for model selection. Economic growth is measured by GDP growth rate, while environmental impact is proxied by CO₂ emissions per capita. The empirical findings indicate that the composition of the energy mix significantly influences both economic growth and CO₂ emissions. Coal and natural gas consumption contribute positively to economic growth but are associated with higher CO₂ emissions, whereas renewable energy consumption supports economic growth with relatively lower environmental costs. These results highlight the importance of transitioning towards a cleaner energy mix to achieve sustainable growth. The study provides empirical evidence to inform energy and environmental policy in developing economies by emphasizing the need for a gradual shift from coal-based energy toward renewable energy, with natural gas serving as a transitional fuel.
Unlocking Student Engagement in Digital Learning: A Conceptual Framework Integrating LMS Quality and Psychological Capital Raini Anne Laipan; Wong Ling Chai; Salumah Nain; Steward Giman Anak Stephen
PROCEEDING ICTESS (Internasional Conference on Technology, Education and Social Sciences) Vol 8 (2026): ICTESS 8th
Publisher : Universitas Slamet Riyadi Surakarta

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Abstract

Background: Meaningful student engagement in digital learning remains a persistent challenge in higher education. Although Learning Management Systems (LMSs) provide essential technological infrastructure, system availability and usage do not necessarily translate into sustained behavioural, emotional, and cognitive engagement. This limitation suggests that students' psychological resources in digital learning environments require more theoretical attention.        Objective: This conceptual paper develops an integrative framework explaining how LMS quality may influence multidimensional student engagement through Psychological Capital (PsyCap), comprising hope, self-efficacy, resilience, and optimism.          Theoretical Approach: The framework integrates the DeLone and McLean Information Systems Success Model, Social Cognitive Theory (SCT), and the Job Demands-Resources (JD-R) framework. Drawing on these complementary perspectives, we conceptualise LMS system, information, and service quality as environmental resources that strengthen students' psychological capacities, while PsyCap functions as an internal personal resource that facilitates meaningful engagement with  digital learning. Propositions: The paper proposes that (1) LMS system quality, information quality, and service quality positively contribute to students' PsyCap; (2) PsyCap positively influences behavioural, emotional, and cognitive engagement; and (3) PsyCap mediates the relationship between LMS quality and multidimensional student engagement. The framework therefore positions student engagement not as a direct technological outcome, but as a process through which digital resources interact with students' psychological resources.                     Theoretical Contribution: The paper extends existing LMS and student engagement literature by connecting information-system quality with learner psychology through an integrated environmental–personal resource perspective. It further identifies PsyCap as a theoretically meaningful mechanism for explaining why comparable LMS environments may produce different levels of student engagement. The proposed framework provides a foundation for future empirical testing and advances a human-centred perspective on digital learning design.

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