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All Journal Journal International of Lingua and Technology Journal International Dakwah and Communication Journal of Noesantara Islamic Studies Journal of Selvicoltura Asean Journal of Tecnologia Quantica Research of Scientia Naturalis
Nishida, Daiki
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Religion Agriculture, Biological Sciences & Forestry Chemistry Education Languange, Linguistic, Communication & Media Physics Social Sciences Other

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Communication Patterns in Intercultural Marriages Involving Muslims Ilyas, Sanusi; Kobayashi, Riko; Nishida, Daiki
Journal International Dakwah and Communication Vol. 4 No. 2 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jidc.v4i2.766

Abstract

This study aims to explore communication patterns within intercultural marriages involving Muslim individuals. The increasing globalization and migration have led to a rise in intercultural marriages, often presenting unique challenges, particularly in communication. The study specifically focuses on the experiences of Muslim individuals in such marriages to understand the communication strategies they employ and the factors that influence these patterns. A qualitative approach, involving in-depth interviews with participants from various cultural backgrounds, was adopted to gather rich and detailed data. The findings reveal that effective communication in intercultural marriages involving Muslims is influenced by factors such as cultural differences, religious beliefs, and individual personalities. Participants employed various strategies, including accommodation, compromise, and intercultural mediation, to navigate these complexities. The study contributes to the existing literature on intercultural communication by highlighting the unique dynamics of Muslim intercultural marriages and providing insights for couples, counselors, and researchers.  
Gamification in Language Learning: Strategies and Impacts Rachman, Azhariah; Nishida, Daiki; Liliani Husain, Desy Liliani
Journal International of Lingua and Technology Vol. 3 No. 3 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v3i3.780

Abstract

The integration of gamification in language learning has gained significant attention due to its potential to enhance engagement, motivation, and learning outcomes. Despite its growing popularity, there is a need for a comprehensive analysis of effective strategies and their impacts on learners. This study addresses this gap by exploring how gamification can be strategically implemented in language education. This research aims to identify effective gamification strategies in language learning and evaluate their impacts on learner motivation, engagement, and proficiency. A mixed-methods approach was employed, combining a systematic literature review of 50 studies from Scopus-indexed journals (Q1 and Q2) with a quasi-experimental study involving 120 language learners. Data were collected through surveys, interviews, and pre-post proficiency tests. The findings reveal that gamification strategies such as point systems, leaderboards, and narrative-driven tasks significantly improve learner motivation and engagement. Additionally, learners exposed to gamified environments demonstrated a 20% higher proficiency gain compared to traditional methods. Gamification is a powerful tool in language learning, offering innovative ways to enhance educational outcomes. However, its success depends on the careful design and alignment of game elements with learning objectives.
Multimodal Sentiment Analysis in Indonesian: A Comparative Study of Deep Learning Models for Hate Speech Detection on Social Media Muhammadiyah, Mas’ud; Xiang, Yang; Na, Li; Nishida, Daiki; Prayudani, Santi
Journal International of Lingua and Technology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v4i1.824

Abstract

With the rapid expansion of social media, the prevalence of hate speech has become a critical issue, particularly in the context of Indonesian language and culture. The detection of hate speech in social media platforms is a complex task due to the multimodal nature of online communication, where text, images, and videos are often combined to express sentiments. This study aims to explore and compare deep learning models for multimodal sentiment analysis, focusing on their effectiveness in detecting hate speech in Indonesian social media content. By analyzing both textual and visual data, the study seeks to enhance the accuracy of sentiment classification, specifically identifying instances of hate speech. The research employs several state-of-the-art deep learning models, including Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Transformer-based models, to perform sentiment analysis on a multimodal dataset. The dataset includes text and images from Indonesian social media posts, labeled for hate speech detection. The results show that multimodal models outperform text-only models, with the Transformer-based model yielding the highest accuracy and F1-score in detecting hate speech. The inclusion of visual data significantly improved the model’s ability to classify complex and subtle expressions of hate speech. This study concludes that multimodal deep learning models offer a promising solution for detecting hate speech in Indonesian social media, with implications for better content moderation and online safety.
The Influence of Local Culture on Customary Practices in Muslim Societies: A Case Study in Central Java Wijaya, Wijaya; Tanaka, Kaito; Nishida, Daiki; Fujita, Miku
Journal of Noesantara Islamic Studies Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v2i2.1846

Abstract

Local culture significantly influences customary practices within Muslim societies, shaping unique expressions of Islamic teachings across diverse regions. In Central Java, Indonesia, traditional practices are deeply intertwined with Islamic values, creating a distinctive cultural-religious identity. While these practices enrich local traditions, they also raise questions about the balance between cultural preservation and religious orthodoxy. This study aims to explore the influence of local culture on customary practices in Central Java’s Muslim communities, examining how cultural elements align with or diverge from Islamic principles. A qualitative case study approach was employed, involving in-depth interviews with community leaders, religious scholars, and practitioners of traditional customs in three rural areas. Observational data and document analysis of local texts and records supplemented the interviews, offering a comprehensive understanding of the interplay between culture and religion. The findings reveal that local culture plays a pivotal role in shaping religious practices, particularly in rites of passage, social ceremonies, and communal worship. These findings highlight the dynamic relationship between religion and culture, emphasizing adaptation and negotiation. The study concludes that cultural sensitivity and context-specific approaches are essential for understanding and preserving the diversity of Islamic expressions.
The Influence of Sufism in Indonesian Islamic Spirituality: A Contemporary Reinterpretation Wijaya, Wijaya; Sato, Haruka; Nishida, Daiki
Journal of Noesantara Islamic Studies Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jnis.v2i4.2400

Abstract

This study explores the enduring and evolving influence of Sufism on Indonesian Islamic spirituality, examining its contemporary reinterpretation amidst modern challenges. Indonesian Islam has historically embraced mystical traditions, fostering a unique spiritual landscape distinct from more legalistic or fundamentalist expressions. Understanding this dynamic is crucial for appreciating the breadth of Islamic practice in the archipelago. The research aims to analyze how Sufi practices and philosophies are adapted and re-articulated by contemporary Indonesian Muslims, identifying the motivations behind this reinterpretation and its impact on individual and communal spirituality. Employing a qualitative research design, this study utilizes in-depth interviews with 25 Sufi practitioners, scholars, and community leaders across Java and Sumatra. Observational data from Sufi tariqa gatherings and contemporary spiritual forums further enriched the findings. Thematic analysis was used to identify recurring patterns and interpretations. Results indicate a significant re-engagement with Sufism, driven by a search for inner peace, spiritual authenticity, and a moderate alternative to rigid interpretations of Islam. The study found that Sufism continues to be a vital source of spiritual resilience and ethical guidance. In conclusion, Sufism remains a powerful force in Indonesian Islamic spirituality, offering a dynamic and adaptable framework for contemporary religious life. Its reinterpretation underscores its enduring relevance in cultivating a compassionate and tolerant Muslim identity.
Biodiversity Hotspots and Conservation Priorities in Tropical Asia Takahashi, Haruto; Fujita, Miku; Nishida, Daiki
Journal of Selvicoltura Asean Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v1i5.1667

Abstract

Tropical Asia is home to a rich diversity of species and ecosystems, yet it faces significant threats from habitat loss, climate change, and human activities. Identifying biodiversity hotspots in this region is crucial for prioritizing conservation efforts and ensuring the protection of unique species and habitats. This research aims to evaluate biodiversity hotspots in tropical Asia and establish conservation priorities based on ecological significance and vulnerability. The study seeks to provide actionable recommendations for policymakers and conservationists to enhance biodiversity preservation in these critical areas. A spatial analysis was conducted using geographic information systems (GIS) to map biodiversity hotspots across tropical Asia. Data from various sources, including species distribution records and habitat assessments, were analyzed to identify regions with high biodiversity and significant conservation needs. Stakeholder interviews were also conducted to gather insights on local conservation challenges. The findings revealed several key biodiversity hotspots, including the Indo-Burma region and the Sundaland region, which are critically endangered due to deforestation and habitat fragmentation. The analysis indicated that targeted conservation efforts in these areas could significantly enhance species protection and ecosystem resilience. This study concludes that prioritizing conservation actions in identified biodiversity hotspots is essential for mitigating biodiversity loss in tropical Asia. Collaborative efforts among governments, NGOs, and local communities are vital to developing effective conservation strategies that address both ecological and socio-economic challenges.
Mathematical Biology: Modeling the Dynamics of Ecosystems and Biodiversity Akbar, Khoironi Fanana; Nishida, Daiki; Sitopu, Joni Wilson
Research of Scientia Naturalis Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i6.1586

Abstract

Background: Mathematical biology plays a crucial role in understanding the dynamics of ecosystems and biodiversity. By employing mathematical models, researchers can analyze complex biological interactions and predict changes within ecosystems over time. This approach is vital for addressing environmental challenges and informing conservation strategies. Objective: This study aims to develop mathematical models that accurately represent the dynamics of ecosystems and the factors influencing biodiversity. The focus is on identifying key interactions between species and their environment, as well as the implications of these interactions for ecosystem stability. Methodology: A combination of differential equations and computational simulations was employed to model various ecological scenarios. Data from field studies and ecological surveys were utilized to parameterize the models, allowing for realistic representations of species interactions and environmental influences. Results: Findings indicate that specific species interactions, such as predation and competition, significantly affect biodiversity and ecosystem dynamics. The models revealed thresholds beyond which ecosystems could shift to alternative stable states, emphasizing the importance of maintaining biodiversity for ecosystem resilience. Conclusion: This research highlights the value of mathematical modeling in the study of ecosystems and biodiversity. By providing insights into the intricate relationships between species and their environment, the study contributes to a better understanding of ecological dynamics and informs effective conservation strategies.
Long-Lived Quantum Coherence in the Fenna-Matthews-Olson Complex: Implications for Energy Transfer Efficiency in Photosynthesis Pao, Chai; Som, Rit; Nishida, Daiki
Journal of Tecnologia Quantica Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i6.3200

Abstract

Quantum coherence has been shown to play a crucial role in optimizing energy transfer in photosynthetic systems, especially in the Fenna-Matthews-Olson (FMO) complex, which is responsible for efficiently capturing light energy in photosynthetic bacteria. While quantum coherence is often considered fragile and short-lived in biological systems, recent studies have indicated its potential for sustaining long-lived coherence, facilitating highly efficient energy transfer. This research investigates the implications of long-lived quantum coherence in the FMO complex for energy transfer efficiency, exploring how coherence persistence enhances the system’s performance. The objective of this study is to analyze the effects of long-lived quantum coherence on energy transfer efficiency in the FMO complex under varying environmental conditions, such as temperature and bath coupling. The results demonstrate that long-lived quantum coherence directly correlates with higher energy transfer efficiency, with temperature and environmental factors playing a significant role in maintaining coherence. The study shows that the FMO complex utilizes quantum coherence as an active resource to optimize energy conversion, achieving efficiencies well beyond classical expectations. In conclusion, this research underscores the importance of quantum coherence in biological energy transfer processes and offers insights into bio-inspired quantum systems for efficient energy harvesting.  
A Computational Study of the Molecular Docking of Bioactive Compounds from Indonesian Medicinal Plants Windayani, Neneng; Nishida, Daiki; Cont, Sara
Research of Scientia Naturalis Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i6.2506

Abstract

The growing interest in natural products as a source of bioactive compounds has led to the exploration of medicinal plants for their therapeutic potentials. Indonesia, with its rich biodiversity, is home to numerous medicinal plants, many of which have yet to be fully explored for their pharmacological activity. This research investigates the molecular docking of bioactive compounds derived from Indonesian medicinal plants to assess their potential interactions with various therapeutic targets. The primary objective of this study was to evaluate the binding affinities and interactions of these compounds with proteins involved in diseases such as cancer and microbial infections. Using molecular docking simulations, a range of bioactive compounds were tested for their binding potential against selected targets. The findings revealed several promising compounds with high binding affinity and stability, indicating their potential as lead candidates for drug development. This computational study highlights the significant therapeutic potential of Indonesian medicinal plants and provides a foundation for further in vitro and in vivo evaluations. The results suggest that these natural products could contribute to the development of novel pharmacological agents, particularly in the fight against cancer and infections.
Co-Authors Akbar, Khoironi Fanana Azhariah Rachman Cont, Sara Fujita, Miku Ilyas, Sanusi Kobayashi, Riko Liliani Husain, Desy Liliani Muhammadiyah, Mas’ud Na, Li Pao, Chai Prayudani, Santi Sato, Haruka Som, Rit Takahashi, Haruto Tanaka, Kaito WIJAYA WIJAYA, WIJAYA Windayani, Neneng Xiang, Yang