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Daengku: Journal of Humanities and Social Sciences Innovation
Published by PT. Mattawang Mediatama Solution
ISSN : -     EISSN : 27756165     DOI : https://doi.org/10.35877/454RI.daengkuv1i1
Core Subject : Humanities, Education, Social,
Humanities Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Other
The Daengku seeks to publish high-quality research papers, review articles, and book reviews that make a contribution to knowledge through the application and development of theories, new data exploration, and/or scientific analysis of salient policy issues. The Scope of the Daengku includes the following areas: Social Sciences: Anthropology, Asian Studies, Communication, Demography, Development, Gender Studies, Government & Public Policy, Human Ecology, International Relations, Media Studies, Peace and Conflict, Political Science, Science, Technology & Society, Sociology. Humanities: Cultural Studies, Education, History, Human Geography, Linguistics, Philosophy, Religion.
Arjuna Subject : Umum - Umum
Articles 20 Documents
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Search results for , issue "vol. 6 no. 5 (2026)" : 20 Documents clear
Determinants and Consequences of Accounting Literacy on the Quality of MSME Financial Statements Yuni Pristiwati Noer Widianingsih; Rochmi Widayanti; Heppy Purbasari
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4832

Abstract

This study aims to examine the influence of education, training, and experience on the quality of financial statements, with accounting literacy as a mediating variable. This study uses a quantitative approach with the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method. Data were collected through questionnaires distributed to 86 respondents involved in financial recording and reporting activities. The study’s results show that education and training have a positive and significant effect on accounting literacy, whereas experience does not. Accounting literacy is subsequently shown to have a positive and significant effect on the quality of financial statements. The mediation analysis indicates that accounting literacy partially mediates the influence of education and training on the quality of financial statements, but does not mediate the influence of experience on the quality of financial statements. These results confirm that the quality of financial statements can be improved more effectively by strengthening accounting literacy, especially through relevant education and structured, applicable, and sustainable accounting training. This research makes an empirical contribution by treating accounting literacy as an important mechanism linking human resource development factors to the quality of financial statements.
Bridging Theory and Practice: How Micro-Project Based Learning Foster Analytical Capacities in Pre-service Elementary Teachers Andista Candra Yusro; Punaji Setyosari; I Nyoman Sudana Degeng; Made Duananda Kartika Degeng
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4882

Abstract

Purpose of the study: This study aims to evaluate the effectiveness of Micro-project Based Learning (mPjBL) in improving the analytical skills of prospective elementary school teachers in the Basic Concepts of Science course. Methodology: A pre-experimental research design with a single-group pretest-posttest was implemented on 51 prospective teachers. The mPjBL model focuses on intensive, small-scale investigations to stimulate higher-order thinking. Data were collected using a validated analytical ability test based on the revised version of Bloom's Taxonomy (differentiating, organizing, and attributing) and analyzed using paired-sample t-tests and Normalized Gain (N-gain) scores. Main Findings: The results of the paired samples t-test show a significant increase in students' analytical abilities after the implementation of M-PjBL, with a t value = –8.146 (df = 50, p < 0.001). This increase in analytical ability is also reflected in the N-gain, which shows an average percentage increase of 26.98%. The M-PjBL model has been proven effective in improving the analytical abilities of prospective elementary school teachers by providing significant improvements both statistically (p < 0.001) and effectively based on N-gain. Novelty/Originality of this study: This study offers an innovative approach by modifying the Project-Based Learning (PjBL) model into Micro-project Based Learning (M-PjBL), which reduces the complexity of large projects into more focused on micro units. Unlike the traditional PjBL approach which requires more resources and time-consuming, M-PjBL allows students to focus more on in-depth analysis of specific scientific phenomena, without sacrificing scientific integrity. This study is also the first to measure the effectiveness of M-PjBL in improving the analytical skills of prospective elementary school teachers through specific indicators developed based on the revised version of Bloom's Taxonomy, namely differentiating, organizing, and attributing.
Experimental Practices in Academic and Popular Music: Balancing Heritage and Innovation Liutsiia Tsyhaniuk; Nataliia Toloshniak; Iryna Novosiadla; Yurii Voloshchuk; Stepan Yednak
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4945

Abstract

This study examines how experimental approaches in academic and popular music mediate between musical heritage and innovation. Rather than being simply preserved or rejected, inherited musical traditions are reinterpreted through contemporary creative practices. The research employed a qualitative documentary musicological analysis of 30 documentary units published or publicly available between 2016 and 2026. The dataset included musical projects, performances, recordings, program materials, digital content, and institutional descriptions related to repertoire reperformance, music revival, genre hybridity, AI-assisted music production, and experimental staging. The findings revealed that hybrid and intercultural projects constituted the largest category (8 units), followed by academic reperformance of inherited repertoire (7 units). Five units each focused on music revival, digital and AI-mediated practices, and experimental performance formats. Heritage was found to be rooted in traditional repertoire, performance practices, genres, cultural memory, musician identity, and recognizable stylistic features. Innovation emerged through reinterpretation, stylistic fusion, improvisation, digital technologies, algorithmic creativity, and experimental visual and spatial performance approaches. The results demonstrate that the most effective experimental practices maintain recognizable connections to musical heritage while adapting it to contemporary cultural and technological contexts. These findings support integrating experimental approaches into music education, enabling students and future music teachers to view heritage as a dynamic resource for creativity, transformation, and cultural renewal rather than as a static object of preservation.
SPEAKS Model: Design and Validation for Preventing Sexual Violence in Religious Higher Education Fathan Fathan; Akhmad Anwar Dani; Budiasih Budiasih; Ni Putu Eka Merliana; Danang Try Purnomo
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4970

Abstract

This study emphasizes sexual violence as a global issue that requires responsive reporting and handling mechanisms in higher education institutions. To address this issue, SPEAKS was developed as a model that integrates structured sexual violence reporting procedures into a digital framework. The purpose of this study was to design, develop, and evaluate the SPEAKS model as a digital system for the prevention and response to sexual violence in religious higher education institutions. This study applied a research and development (R&D) approach, combining the ADDIE model with a mixed-methods design. Data collection was initially conducted qualitatively through focus group discussions used to design the SPEAKS model, followed by quantitative validation to test the model's performance. The system was tested using the System Usability Scale involving 52 respondents. The findings indicate that the SPEAKS model facilitates a more accessible reporting process with a structured handling flow and can improve institutional accountability with a score of 70.08 (Good category). The results indicate that the SPEAKS model has the potential to support institutions in strengthening sexual violence prevention mechanisms in religious higher education institutions.
Do student ratings match teacher ratings? Comparing rater severity and reliability in L2 writing assessment. Nurul Fariena Asli; Mohd Effendi Ewan Mohd Matore; Nurul Iman Ahmad Bukhari
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4981

Abstract

This study examines rater severity and rater reliability in a writing assessment across teacher and student raters within the Malaysian secondary schools L2 context. Four Primary Trait Writing (PTW) rubrics were developed and validated to be utilized in this self-assessment activity. A quantitative research approach was employed, involving 149 secondary school students and three English language teachers from six public schools in Malaysia. Teacher assessment and student self-assessment were used to evaluate students’ essays, and the Many Facet Rasch Model (MFRM) model was applied using FACETS to calibrate and analyse the scores. The analysis focused on identifying differences in rater severity and examining the consistency of rubric application between teacher and student raters. Results showed that teacher and student raters exhibited similar severity levels, with no significant differences between the two groups (?² = 0.0, df = 1, p = .90). Furthermore, acceptable fit statistics (MnSq = 0.5-1.5; Zstd within ±2) indicated consistent application of the PTW rubrics across both rater groups. These findings suggest that both teacher and student raters shared a common understanding of the assessment criteria and functioned as a homogeneous rater group, demonstrating similar levels of severity and reliability in the assessment of L2 writing performance.
Trade Openness and Economic Growth: Short and Long Term Panel Data Analysis Andika Isma; Anas Iswanto Anwar; Retno Fitrianti; M. Abdi Shalihin; Andi Naila Quin Azisah Alisyahbana
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku5025

Abstract

This study examines the effect of trade openness on economic growth using an unbalanced panel dataset covering up to 217 countries/economies during 2011-2024. The study is motivated by the need to reassess the openness-growth nexus in a contemporary global economy characterized by post-crisis adjustment, trade-policy uncertainty, pandemic disruption, supply-chain reconfiguration, and rising concerns over trade fragmentation. Economic growth is measured by annual GDP growth, while trade openness is proxied by trade as a percentage of GDP. Population growth, life expectancy, gross capital formation, and foreign direct investment are included as control variables. The empirical strategy applies pooled least squares, random effects, fixed effects, and dynamic fixed-effects specifications with robust standard errors. The results indicate that trade openness has a positive and statistically significant effect on economic growth in both short-term and long-term estimations. This relationship is observed in the full sample as well as in high-income and lower-middle-income country groups, although the magnitude differs across income categories. These findings suggest that trade openness remains relevant as a source of growth, but its effectiveness depends on domestic productive capacity, investment quality, and the ability of countries to transform external integration into real economic performance. The study contributes by providing updated evidence from the 2011-2024 period and by positioning trade openness as a growth-enhancing mechanism whose impact is conditional on income-group heterogeneity and absorptive capacity.
Enhancing MSME Creative Performance: Psychological Well-Being and Motivation as Job Characteristics Mediators Fika Rahmanita; Ade Banani; Ratno Purnomo
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku5046

Abstract

This study investigates the role of job characteristics in enhancing creative performance among employees in medium?sized micro, small, and medium enterprises (MSMEs) in Indonesia, with psychological well?being and motivation serving as parallel mediating variables. Grounded in the Job Characteristics Model (JCM), the research aims to address existing gaps in understanding the psychological mechanisms that link job design and creativity, particularly in resource?constrained and non?Western contexts. A quantitative approach was employed using a time?lagged, multi?source design across three data collection waves to minimize common method bias and strengthen temporal inference. Data were obtained from 257 employees and their supervisors across major Indonesian innovation hubs, and were analyzed using Partial Least Squares Structural Equation Modeling (PLS?SEM). The findings indicate that job characteristics significantly and positively influence both psychological well?being and motivation, which, in turn, significantly enhance creative performance. Although the direct effect of job characteristics on creativity is relatively modest, the indirect effects through motivation and psychological well?being are substantial and statistically significant, confirming a robust parallel mediation mechanism. Motivation emerges as the dominant mediator, suggesting that it plays a central role in translating enriched job design into creative outcomes. The model explains a considerable proportion of the variance in creative performance, underscoring the value of well?designed jobs for fostering innovation in MSME settings. This study extends the Job Characteristics Model to an Indonesian MSME context by integrating motivation and psychological well?being as key psychological mechanisms through which job design affects creativity. The results provide practical implications for MSME managers, highlighting that low?cost job redesign strategies such as increasing skill variety, task significance, autonomy, and feedback can effectively stimulate employee creativity without heavy financial investment.
Hybrid Recommender Systems for Course Selection Using Collaborative Filtering and Multi-Criteria Decision-Making Moh Solehuddin; Abdul Muis
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku5094

Abstract

The rapid growth of Massive Open Online Course (MOOC) catalogs has made it increasingly difficult for learners to identify courses that are simultaneously aligned with their personal interests and objectively of high quality. Single-technique recommender systems tend to address only one of these two dimensions: collaborative filtering (CF) captures personalized preference but ignores objective course attributes, whereas multi-criteria decision-making (MCDM) evaluates objective quality but disregards individual taste. This study proposes and demonstrates a hybrid recommender system that integrates User-Based Collaborative Filtering with Cosine Similarity and the Simple Additive Weighting (SAW) method to generate course recommendations that balance personalization with objective merit. A dummy dataset consisting of 10 MOOC items, 8 users, and 5 evaluation criteria (average rating, relevance to interest, difficulty level, duration, and price) was constructed to test the proposed method end-to-end. The Collaborative Filtering component predicted preference scores for a target user through similarity-weighted aggregation of the top-3 nearest neighbors, while the SAW component produced an objective preference value for each course through max-normalization and weighted summation across the five criteria. The two outputs were linearly combined using an equal-weighted hybridization coefficient (? = 0.5) to produce a final ranked list. Results show that the hybrid model reorders the recommendation list relative to either technique used alone, promoting courses that are both well-matched to the target user's demonstrated preferences and objectively strong on relevance, quality, and cost-efficiency. The proposed pipeline is technique-agnostic and can be re-parameterized for other selection domains that require a combination of personalized filtering and objective multi-criteria evaluation
Quantifying the Role of Groundwater, Agriculture, and Climate on India's Water Security: A Grey Relational Model Based on the Falkenmark Index Bhartendu Kumar Chaturvedi; Rajiv Kumar Bhatt; Alok Kumar Pandey; Subhra Rajat Balabantaray; Pawan Kumar Singh
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku5096

Abstract

Currently, India is experiencing a prominent and serious water crisis characterised by extreme regional disparities which is essentially an outcome of the rising population growth, rampant urbanisation, and unsustainable extraction practices. This study employs the Falkenmark Index (2012–2024) alongside Grey Relational Analysis (GRA) to identify and rank the systemic drivers of per capita water decline. The findings of the study have reported a fall in water availability from 1,517 m³/person/year in 2012 to 1,318 m³/person/year in 2024, thereby pushing several geographical territories into water-stressed or water-scarce categories. GRA rankings indicate population growth (0.95) as the most influential driver, followed by groundwater extraction (0.85) and agricultural use (0.80), while pollution (0.70), infrastructure deficit (0.60), and monsoon variability (0.50) show moderate to lower impacts. Case studies from the states of Punjab and Haryana highlight the over-exploitation of groundwater for irrigation, while recurring water dispute between/among various states indicate governance challenges. These findings highlight the dominance of chronic stressors; population pressure, groundwater misuse, and irrigation intensity, over episodic climatic variability. The study contends that policy interventions must prioritise groundwater budgeting, crop diversification, micro-irrigation, wastewater reuse, and basin-scale governance to address the issues of per capita decline. By integrating GRA diagnostics with the Falkenmark framework, the analysis provides a decision-support tool for Integrated Water Resource Management (IWRM), aligning with national priorities and the Sustainable Development Goals (SDGs-6).
Investigation of Preservice Teachers’ Technopreneurship and Its Determinants Donald Samuel Slamet Santosa; Riyanto Adji; Nelly Wedyawati; Winda Lidia Lumbantobing
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 5 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku5101

Abstract

Digital transformation has expanded the competencies expected from university graduates, including preservice teachers who are increasingly required to combine pedagogical knowledge, technological capability, and entrepreneurial orientation. This study investigates preservice teachers’ technopreneurship and examines learning engagement, entrepreneurial learning, and policy support as its determinants. A mixed methods design with concurrent triangulation was employed to integrate quantitative and qualitative evidence. Quantitative data were collected from 500 second- and third-year bachelor students in education programs from five universities in Indonesia using validated Likert-scale questionnaires. The instruments measured technopreneurship, learning engagement, entrepreneurial learning, and policy support, with reliability coefficients ranging from 0.668 to 0.820. The quantitative data were analyzed using descriptive statistics, one-sample t-test, and multiple linear regression with SPSS. Qualitative data were obtained through interviews, focus group discussions, and direct observation, then analyzed using the Miles and Huberman technique to confirm and enrich the statistical findings. The results show that preservice teachers’ technopreneurship remains below the expected level, with a mean score of 3.76 on a five-point scale. The one-sample t-test confirmed that this score was significantly lower than the high-indicative threshold of 4.00 (t = -4.445; p = 0.000). Multiple regression indicated that learning engagement, entrepreneurial learning, and policy support simultaneously influenced technopreneurship (F = 4.866; p = 0.002), although their explanatory contribution was relatively limited (adjusted R square = 0.023). Among the predictors, learning engagement showed the strongest and significant individual effect, while entrepreneurial learning and policy support showed weaker direct effects. Qualitative findings supported these results by revealing that preservice teachers perceived their technopreneurial competence as underdeveloped and expected stronger entrepreneurship education, collaborative learning engagement, and institutional policy support. The study concludes that technopreneurship development in teacher education requires an integrated strategy linking active learning communities, practice-based entrepreneurial learning, and systematic policy support.

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