cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
AS Ahmar
Contact Email
journal@ahmar.id
Phone
-
Journal Mail Official
daengku@ahmarcendekia.or.id
Editorial Address
Jalan Karaeng Bontomarannu No. 57 Kecamatan Galesong, Kabupaten Takalar Provinsi Sulawesi Selatan, Indonesia
Location
Unknown,
Unknown
INDONESIA
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 12 Documents
 1   2 
Search results for , issue "vol. 6 no. 1 (2026)" : 12 Documents clear
Navigating Barriers: Access to Justice and Legal Protection for Rohingya Refugees in Bangladesh Badsha Mia; Joynab Binta Mariam Kali; Faijul Islam
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4387

Abstract

The Rohingya refugee crisis is an immense humanitarian challenge in South Asia. More than one million Rohingya individuals from Myanmar currently reside in refugee camps in Cox’s Bazar, Bangladesh, due to persecution and violence in their native country. Despite Bangladesh's considerable humanitarian gesture in offering sanctuary, the lack of a legal refugee protection system has impeded the Rohingyas' ability to seek justice. Protection of justice for these stateless Rohingya refugees entails many legal, institutional, and socio-political barriers. Ensuring access to justice for these stateless Rohingya refugees requires navigating complex legal, institutional, and socio-political barriers. This study examines the justice-seeking processes available to Rohingya refugees in Bangladesh, identifies the principal barriers to accessing these mechanisms, and evaluates the effectiveness of existing legal and policy frameworks. The study used a mixed-method approach, integrating qualitative interviews, focus group discussions (FGDs), and legal content analysis, revealing that structural discrimination, absence of legal identity, inadequate institutional capacity, and restrictive national laws substantially impede access to justice. The findings reaffirm the pressing need for policy reforms, legal empowerment efforts, and enhanced institutional collaboration across state agencies, NGOs, and other international organizations. The study suggests policy recommendations to incorporate access to justice into a comprehensive framework of human rights and sustainable solutions for the Rohingya refugee crisis in Bangladesh.
Does Diplomatic Influence Pay? A Gravity Model Estimation of the Effect of Morocco’s Soft Power Assets on its Bilateral Trade Volumes in Africa Hamid Fayou; Nabil Boubrahimi
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4569

Abstract

This study investigates whether Morocco’s soft power assets its (cultural religious, economic, and diplomatic influence) translate into tangible economic benefits in the form of increased bilateral trade with African partners. Using an augmented gravity model of trade estimated with Poisson Pseudo-Maximum Likelihood (PPML) for a panel of 45 African countries over the period 2010–2024, we quantify the impact of various soft power proxies on Morocco’s trade flows. The results indicate that soft-power instruments, particularly cultural diplomacy, religious ties, and active peacekeeping contributions, exert a statistically significant and economically meaningful positive effect on trade volumes, even after controlling for traditional gravity determinants such as GDP, distance, and colonial links. The findings suggest that Morocco’s deliberate soft-power strategy in Africa is not merely a political tool but also a viable economic diplomacy that can enhance regional trade integration. Policy implications include the continued investment in soft-power channels as a complement to traditional trade liberalization measures.
Implementasi Sistem Integrasi Layanan Deklarasi Keimigrasian All Indonesia di Tempat Pemeriksaan Imigrasi Bandara Ngurah Rai, Bali Pranaditha, Ida Bagus Yogi; Widanti, Ni Putu Tirka; Widnyani, Ida Ayu Putu Sri
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The objective of this study is to analyze the implementation of the All Indonesia Immigration Declaration Service Integration System at the Ngurah Rai Airport Immigration Checkpoint in Bali, to identify obstacles and challenges, and to formulate strategic and operational solutions. The impetus for this research stems from two key factors. Firstly, the number of international travelers has reached 15 million per year, exhibiting a 14% growth rate. Secondly, the fragmentation of health, customs, and immigration declaration systems has led to inefficiencies and security gaps in the past. The All Indonesia system, which has been fully operational since October 2025, integrates all declarations into a single digital platform with an H-3 arrival declaration feature. The present study employs a descriptive qualitative method with a case study approach. The data were collected through a variety of methods, including in-depth interviews with key informants from the Ngurah Rai Class I Special TPI Immigration Office, direct observation in the international arrival area, document review, and analysis of system submission data from October 2025 to January 2026. The data analysis employed the interactive model developed by Miles and Huberman, with Max Weber's Rational Bureaucracy theory serving as the analytical framework. The study's findings indicate that the system's implementation successfully reduced inspection times by 60–70 percent at manual counters and 80 percent at autogates. Furthermore, the system was adopted by 2.5 million passengers within four months. However, a number of technical challenges were identified, including system disruptions and recurring OCR errors, low pre-arrival data entry rates among Indonesian citizens (30–38 percent), suboptimal cross-agency data interoperability, and limited multilingual support. Solutions were formulated in the Adaptive Digital Bureaucracy Model, which encompasses the strengthening of a resilient system architecture, adaptive knowledge management, structured collaborative governance, user-centered design, and transformational change management.
Contribution of Work Environment on Employee Retention in the Financial Sector of Nepal Prakash Bahadur Chand
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4779

Abstract

Employee retention is a critical challenge for organizations globally, affecting operational efficiency, morale, and long-term success. This study investigates the impact of the work environment encompassing both physical (workspace layout, safety) and psychological factors (organizational culture, leadership and management practices) on employee retention in Nepal’s financial sector. By identifying key environmental determinants, the research aims to provide actionable insights for organizations seeking to enhance retention strategies. This study adopts a descriptive and analytical research design, employing a purposive sampling technique to collect data from 385 respondents in Nepal’s financial sector. A structured, closed-ended questionnaire using a five-point Likert scale was administered to assess employee perceptions of workspace layout, safety, organizational culture, and leadership. Data analysis was conducted using SPSS to evaluate the relationship between work environment factors and retention. Workspace layout, organizational culture, and leadership & management significantly enhance employee retention. Employees reported high satisfaction with leadership and management, followed by workspace layout and organizational culture, underscoring their pivotal role in retention. While safety remains important, its direct impact on retention is relatively minimal, suggesting room for improvement. This study adds to existing literature by examining employee retention in Nepal’s financial sector a relatively unexplored context—while integrating both physical and psychological work environment factors for a comprehensive analysis. By providing empirical evidence on their varying impacts, the research helps organizations prioritize retention strategies. Additionally, it addresses a regional research gap and offers practical insights for policymakers and business leaders in developing economies.
Analysis and Forecasting of Unilever Indonesia Stock Prices Using a Long Short-Term Memory (LSTM) Model Sitti Masyitah Meliyana; Abdul Rahman
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4787

Abstract

This study aims to forecast the stock price of Unilever Indonesia using the Long Short-Term Memory (LSTM) model. The dataset consists of weekly stock price data from May 2015 to May 2025, representing a financial time series with nonlinear and dynamic patterns. The LSTM model is employed due to its capability to capture long-term dependencies in sequential data. To evaluate model performance, the dataset is partitioned into three training–testing scenarios, namely 90:10, 80:20, and 70:30. Model accuracy is assessed using the Mean Absolute Percentage Error (MAPE). The results indicate that the best predictive performance is achieved using the 90:10 data split, yielding the lowest MAPE value of 6.973%, which falls into the highly accurate forecasting category. In comparison, the 70:30, and 80:20 scenarios produce higher MAPE values of 13.732% and 17.263% respectively. These findings demonstrate that increasing the proportion of training data significantly improves the performance of the LSTM model in forecasting stock prices. This study highlights the effectiveness of LSTM in modeling financial time series and provides practical insights for data-driven decision-making in stock market analysis.
Forecasting Farmer Exchange Rates as a Welfare Proxy: BetaSutte's Role in Predicting Agricultural Income Stability in Indonesia Ansari Saleh Ahmar
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku1036

Abstract

This study presents BetaSutte — a novel hybrid forecasting model applying the four-lag ?-Sutte Indicator to OLS-detrended residuals rather than to the raw level series — and evaluates it on Indonesia’s monthly Nilai Tukar Petani (NTP, Farmer Exchange Rate), a composite agricultural welfare index for over 40 million farming households. Using 84 monthly observations from January 2019 to December 2025 (Badan Pusat Statistik), the model separates NTP into a linear trend component and a residual , applies the ?-Sutte formula to the stationary residual domain, and generates forecasts as with ? optimised by grid search. Calibrating on the first 60 observations (January 2019–December 2023), the OLS trend explains 82.75% of NTP variance , and the optimal ? = 0.30 yields in-sample RMSE = 1.6887, MAE = 1.3695, and MAPE = 1.2881% — an 11.5% RMSE reduction versus the trend-only baseline. Crucially, two full years of genuinely out-of-sample validation (January 2024–December 2025, n = 24) confirm BetaSutte’s operational superiority: RMSE = 5.4841 versus 6.0782 for trend-only, a 9.8% improvement representing 112 months of independently collected data never seen during calibration. Residuals are normally distributed (Shapiro-Wilk p = 0.130), confirming well-conditioned model inputs. The full-sample retrained model (n = 84) estimates , forecasting January 2026 NTP at 123.91. This study constitutes the first BetaSutte application to a composite agricultural welfare index with two-year prospective out-of-sample validation.
Trust-Mediated AI Continuance Intention among Pre-Service Teachers: Integrating UTAUT and the Extended S-O-R-S Framework with AI Brain-Rot Exposure M. Miftach Fakhri; Andika Isma; Sahabuddin Sahabuddin; Pramudya Asoka Syukur; Rosidah Rosidah
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4849

Abstract

The rapid use of artificial intelligence (AI) in teacher education raises important concerns about whether pre-service teachers will continue using AI despite emerging risks such as perceived AI brain-rot exposure. Therefore, this study examines how UTAUT-related stimuli, institutional support, and perceived AI brain-rot exposure influence the intention to continue using AI through trust in AI. This study employed a quantitative cross-sectional survey design involving 247 pre-service teachers enrolled in teacher education programmes in Indonesia, all of whom had prior experience using AI for academic or teaching-related purposes. Data were analyzed using Partial Least Squares Structural Equation Modeling. The results showed that performance expectancy and social influence significantly increased trust in AI, whereas effort expectancy and institutional support did not significantly influence trust. Perceived AI brain-rot exposure also significantly influenced trust in AI, but the relationship was positive, suggesting that awareness of AI-related cognitive risks may coexist with selective or calibrated trust. Trust in AI strongly influenced continuance intention and mediated the effects of performance expectancy, social influence, and perceived AI brain-rot exposure on the continuance intention. The model explained 72.1% of the variance in trust in AI, and 62.6% of the variance in continuance intention. This study contributes to the literature by extending the UTAUT and S–O–R with a stressor perspective and by introducing perceived AI brain-rot exposure as an emerging construct in AI-in-education adoption research. These findings suggest that teacher education programmes should prioritize demonstrating AI's concrete pedagogical benefits and fostering reflective AI literacy to build trust, rather than relying solely on institutional policy or ease-of-use considerations.
From Growth Mindset and Social Media Influence to Learning Outcomes: A PLS-SEM Study in Indonesian Higher Education Andika Isma; Andi Naila Quin Azsisah Alisyahbana; Sahabuddin Sahabuddin; Akhmad Khairul Shiddiq; Della Fadhilatunisa
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4850

Abstract

This study examines how growth mindsets and social media influence shape learning outcomes through student engagement and digital literacy in digitally mediated higher education. Survey data were collected from 478 undergraduate students enrolled at higher education institutions in Indonesia and analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4. The measurement model demonstrated satisfactory reliability, convergent validity, and discriminant validity. The structural model explained 67.3% of the variance in learning outcomes, 60.5% in student engagement, and 40.7% in digital literacy, indicating a substantial explanatory power. Growth mindset positively predicted learning outcomes, student engagement, and digital literacy, with the strongest substantive effect observed on student engagement. Social media influence positively predicted student engagement and digital literacy but did not have a significant direct effect on the learning outcomes. Student engagement and digital literacy both positively predicted learning outcomes, and indirect-effect analysis confirmed several mediating pathways linking growth mindset and social media influence to learning outcomes. These findings indicate that the academic benefits of digital higher education are not produced by mindset or social media exposure alone. Learning outcomes improve when psychological dispositions and social-digital interactions are translated into active engagement and effective digital literacy.
The Mediating Role of Social-Emotional Learning in the Relationship Between Emotional Intelligence and Students' Self-Confidence in Islamic Education Muh Syahrul Sarea; Muh Bachtiar Aziz; Sulaeman; Faisal
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4853

Abstract

The dominance of cognitive-oriented and dogmatic instruction in Islamic Religious Education (PAI) frequently provokes academic anxiety, causing students to remain passive despite possessing adequate emotional regulation. This study aims to investigate the mediating role of Social-Emotional Learning (SEL) in the relationship between Emotional Intelligence (EI) and students' self-confidence in religious classrooms. Employing an explanatory cross-sectional survey design, data was collected from 78 high school students selected through purposive sampling. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) with a 5,000-subsample bootstrapping procedure. The results indicate that EI has a significant direct effect on both SEL and self-confidence. However, the key finding confirms that SEL acts as the most dominant predictor and serves as a complementary partial mediator in the relationship between EI and self-confidence. This study concludes that internal emotional regulation (EI) is a necessary but insufficient condition to generate self-confidence without a psychologically safe classroom ecosystem. Practically, the integration of SEL deconstructs the religious classroom from a mere space for theological dogma transfer into an inclusive dialogic space that aligns with the core values of tazkiyatun nafs (purification of the soul).
The Strategic Role and Implementation of the Sustainable Development Goals through Public Libraries: A Multi-Case Study in Seven Provinces with the Highest Regional Competiveness Index (RCI/IDSD) Scores in Indonesia Anita Tri Widiyawati; Kanyarat Kwiecien; Lan Thi Nguyen
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku4861

Abstract

Public libraries have become important organizations in fostering and stimulating inclusive and sustainable development in contemporary knowledge societies. This research adopted an integrated mixed-methods approach by examining the role of public libraries in Indonesia in supporting the implementation of the Sustainable Development Goals (SDGs). The qualitative research showed that libraries were inclusive knowledge organizations that connect the global development and the local community through policy alignment, digital transformation, and multistakeholder cooperation. Libraries fostered development of literacies and encourage social inclusion, ensure cultural preservation and boost community empowerment, although some issues remain, like inadequate resources, technological inequality and uneven institutional capacity. The measurement model yielded strong and valid constructs for the key dimensions of the initiative, namely administration, staff, training, resources, infrastructure, partnerships, and SDG outcomes (People, Planet, Prosperity and Peace), shown by standardized estimates which were all significant. The findings established that successful implementation of SDGs by libraries hinges upon the quality of governance, collaborative networks, and adaptive delivery of services. The research revealed that public libraries become strategic actors in the field of inclusive and sustainable development, especially at the local level. Stronger institutional and digital capacities, along with better-integrated planning, are needed to optimize the contribution of libraries to the SDG, it was pointed out.

Page 1 of 2 | Total Record : 12

 1   2 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 6 No. 5 (2026) Vol. 6 No. 4 (2026) Vol. 6 No. 3 (2026) Vol. 6 No. 2 (2026) Vol. 6 No. 1 (2026) Vol. 5 No. 6 (2025) Vol. 5 No. 5 (2025) Vol. 5 No. 4 (2025) Vol. 5 No. 3 (2025) Vol. 5 No. 2 (2025) Vol. 5 No. 1 (2025) Vol. 4 No. 6 (2024) Vol. 4 No. 5 (2024) Vol. 4 No. 4 (2024) Vol. 4 No. 3 (2024) Vol. 4 No. 2 (2024) Vol. 4 No. 1 (2024) Vol. 3 No. 6 (2023) Vol. 3 No. 5 (2023) Vol. 3 No. 4 (2023) Vol. 3 No. 3 (2023) Vol. 3 No. 2 (2023) Vol. 3 No. 1 (2023) Vol. 2 No. 6 (2022) Vol. 2 No. 5 (2022) Vol. 2 No. 4 (2022) Vol. 2 No. 3 (2022) Vol. 2 No. 2 (2022) Vol. 2 No. 1 (2022) Vol. 1 No. 2 (2021) Vol. 1 No. 1 (2021) More Issue