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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 465 Documents
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Navigating Barriers: Access to Justice and Legal Protection for Rohingya Refugees in Bangladesh Badsha Mia
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

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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 FAYOU, Hamid
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

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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

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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 Chand, Prakash Bahadur
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

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Abstract

Purpose: 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. Design/Methodology: 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. Findings: 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. Originality: 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 Meliyana, Sitti Masyitah; Rahman, Abdul
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 6 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

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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.

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