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Insight : International Journal of social research
Published by PT. Worldwide Research Publishing
ISSN : -     EISSN : 3032453X     DOI : https://doi.org/10.59888/insight
Core Subject : Economy, Humanities, Science, Social,
Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science
Insight : International Journal of Social Research is a scientific journal in the form of research and can be accessed openly. This journal is published once a month by PT. Worldwide Research Publishing Insight : International Journal of Social Research provides a means for ongoing discussion of relevant issues that fall within the focus and scope of the journal that can be empirically examined. The journal publishes research articles covering all aspects of social sciences, ranging from Management, Economics, Culture, Comunication, Law, Geography, and Education that belong to the social context. Published articles are from critical and comprehensive research, studies or scientific studies on important and current issues or reviews of scientific books.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 81 Documents
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Framing Crisis and the Politics of Emotion: How Indonesian Online Media Manage Public Panic in Disaster Reporting Syarofi, Ahmad; Sholihah, Barokatus
International Journal of Social Research Vol. 4 No. 2 (2026): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v4i2.101

Abstract

Disasters and crises are communication events that not only require the delivery of information but also the management of public emotions. In the context of digital media, news framing plays a crucial role in shaping both public perception and emotional responses to crisis situations. This study aims to analyze how Indonesian online media frame the flash flood crisis in Sumatra and how such framing functions in producing and managing public panic. This research employs a qualitative approach within a critical interpretative paradigm. The object of the study is news coverage of flash floods in Sumatra published by Kompas.com, CNNIndonesia.com, and Detik.com during the period of November 25 to December 31, 2025. Data were analyzed using Entman’s framing analysis model, with a focus on narratives of fear, risk emphasis, and the emotional solutions offered by the media. The findings reveal that online media not only define crises through the emphasis on threats, risks, and urgency, but also actively produce public emotions through dramatic diction, disaster metaphors, and threat visualizations. However, crisis framing also functions as a mechanism for panic management through strategies of normalization, rationalization, and emphasis on the role of authorities and symbolic solutions. These findings indicate that public panic is a media-mediated phenomenon, rather than merely a spontaneous response to disaster events. Theoretically, this study expands the concept of framing by integrating the dimension of the politics of emotion, positioning framing not only as a tool for constructing meaning but also as an instrument for managing public emotions in crisis communication. Practically, this study highlights the importance of strengthening crisis journalism ethics and developing media policies that are more sensitive to the emotional impact of disaster reporting within Indonesia’s digital media ecosystem.
Climate Change and Eco-Anxiety in Contemporary Climate Fiction (Cli-Fi) Nur Affah Al Akromi, Elok; Miakhil, Jan Mohammad
International Journal of Social Research Vol. 3 No. 5 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i5.103

Abstract

Climate change has precipitated not only an ecological crisis but a profound psychological one, giving rise to eco-anxiety a chronic, multidimensional emotional response to environmental degradation that is increasingly prevalent across global populations. Despite the parallel growth of climate fiction (cli-fi) as a culturally significant literary genre, scholarship has yet to systematically examine how contemporary cli-fi represents eco-anxiety as both thematic content and formal principle. This study addresses that gap through a qualitative ecocritical and affective literary analysis of six internationally significant cli-fi novels: Kingsolver's Flight Behavior (2012), Powers' The Overstory (2018), El Akkad's American War (2017), Jemisin's The Fifth Season (2015), Offill's Weather (2020), and Ghosh's Gun Island (2019). Employing thematic analysis supported by NVivo (Version 14) and guided by an ecocritical coding rubric derived from the eco-anxiety frameworks of Albrecht (2019), Clayton and Karazsia (2020), and Pihkala (2022), the study analyzed 312 coded passages across six eco-anxiety themes. Findings reveal that ecological grief (29.8%) and anticipatory loss (25.6%) constitute the dominant affective registers of the corpus, followed by helplessness and powerlessness (22.1%), solastalgia (21.2%), affective resilience (18.3%), and intergenerational despair (16.7%). The study further demonstrates that eco-anxiety is not merely depicted thematically but formally enacted through narrative fragmentation, temporal disruption, and second-person address. Cross-cultural analysis reveals that postcolonial cli-fi encodes eco-anxiety as inseparable from racial and political dispossession, challenging Western-centric psychological frameworks. The study proposes an original "eco-anxiety poetics" framework with significant implications for ecocritical scholarship, environmental education, climate communication, and therapeutic bibliotherapy practice.
Strategic Planning of Cybersecurity Governance in Supporting National Digital Infrastructure Resilience Fauziyyah, Ghina
International Journal of Social Research Vol. 3 No. 5 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i5.104

Abstract

The development of digital transformation has increased the dependence of various sectors on national digital infrastructure to support government, economic, and public service activities. This condition is accompanied by an increasing cyber security threat that has the potential to disrupt the stability of a country's information system and digital resilience. Therefore, it is necessary to have strategic planning for integrated cybersecurity governance to ensure the sustainability and security of national digital infrastructure. This research aims to analyze strategic planning of cybersecurity governance and formulate a governance model that can support increasing the resilience of national digital infrastructure. This research uses a qualitative approach with a descriptive-analytical method. Data collection was carried out through interviews, observations, questionnaires, and documentation studies on organizations that manage information systems and digital infrastructure. Data analysis was carried out using a framework analysis approach with reference to information technology governance frameworks such as COBIT and the NIST Cybersecurity Framework. The results of the study show that the implementation of cybersecurity governance in some organizations is still not fully integrated with the organization's strategic planning. The implementation of IT governance frameworks such as COBIT and NIST can help organizations identify cybersecurity risks, improve threat monitoring, and strengthen inter-agency coordination. This research also produces a strategic planning model for cybersecurity governance that emphasizes the integration of organizational strategies, risk management, security technology, and national policies to improve the resilience of national digital infrastructure
Comparison Of Clustering Algorithms In Analyzing E-Commerce Data From Kaggle Anwar, Syahrul; iskandar, Erwin
International Journal of Social Research Vol. 4 No. 1 (2026): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v4i1.105

Abstract

The rapid growth of the e-commerce industry produces a huge volume of transaction data, so the right data analysis techniques are needed to extract valuable information for business decision-making purposes. This study aims to compare the performance of three clustering algorithms, namely K-Means, DBSCAN, and Hierarchical Clustering, in analyzing e-commerce datasets sourced from the Kaggle platform. The dataset used is "Online Retail II" published by Daqing Chen through the UCI Machine Learning Repository and Kaggle, containing 541,909 transactions from an online retail company in the UK; After the data cleansing process, a total of 406,829 valid transactions from 4,372 unique customers were used as the basis for analysis. The data was analyzed using the RFM (Recency, Frequency, Monetary) approach as the basis for clustering features for customer segmentation. The algorithm performance evaluation was carried out using three internal validation metrics, namely the Silhouette Score, the Davies-Bouldin Index (DBI), and the Calinski-Harabasz Index (CHI). The results showed that K-Means with k=3 produced the best performance with a Silhouette Score of 0.612 and the lowest DBI of 0.842, followed by Hierarchical Clustering with the Ward and DBSCAN methods. K-Means also excels in computing efficiency with an execution time of 1.23 seconds, much faster than Hierarchical Clustering which takes 8.72 seconds. The resulting segmentation identified three main customer groups: High-value Customers, 31.0%, Medium-value Customers, 43.3%, and passive or at-risk customers (Low-value/At-Risk Customers, 25.7%). These findings provide practical implications that can be directly applied by e-commerce businesses, particularly in designing segmented marketing strategies, loyalty programs, and customer reactivation campaigns based on the choice of clustering algorithms that match their data characteristics and business analytics needs.
Revitalisasi Dan Internalisasi Nilai Kearifan Lokal Sunda Dalam Pembentukan Akhlak Generasi Z Di Sman 3 Kuningan Nurjanah, Siti
International Journal of Social Research Vol. 4 No. 1 (2026): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v4i1.106

Abstract

Penelitian ini mengkaji revitalisasi kearifan lokal Sunda dalam membentuk karakter moral Generasi Z dalam lingkungan pendidikan SMAN 3 Kuningan. Di era globalisasi dan perkembangan teknologi yang pesat, pengaruh budaya asing semakin mempengaruhi pola pikir, sikap, dan perilaku anak muda. Kondisi ini menimbulkan tantangan bagi lembaga pendidikan dalam menjaga nilai-nilai moral dan jati diri budaya mahasiswa. Oleh karena itu, mengintegrasikan kearifan lokal ke dalam pendidikan menjadi strategi penting untuk penguatan pendidikan karakter. Kearifan lokal Sunda mengandung nilai-nilai etika seperti kesopanan, gotong royong, menghormati orang tua dan guru, serta kerukunan sosial, yang relevan dengan pengembangan karakter siswa dalam masyarakat kontemporer. Penelitian ini bertujuan untuk mengidentifikasi bentuk-bentuk kearifan lokal Sunda yang menarik dan diterima oleh Generasi Z, menganalisis integrasi nilai-nilai tersebut dengan ajaran Al-Qur'an dan Hadis, serta mengeksplorasi strategi revitalisasi kearifan lokal Sunda untuk memperkuat karakter moral siswa. Penelitian ini menggunakan pendekatan kualitatif deskriptif untuk memberikan pemahaman mendalam tentang proses penerapan nilai-nilai kearifan lokal di lingkungan sekolah. Data dikumpulkan melalui wawancara mendalam, observasi partisipatif, dan dokumentasi yang melibatkan kepala sekolah, guru, dan siswa yang berpartisipasi dalam program yang berkaitan dengan nilai-nilai budaya Sunda. Temuan tersebut menunjukkan bahwa integrasi kearifan lokal Sunda dengan ajaran Islam tercermin dalam konsep Pancawaluya – cageur, bageur, bener, pinter, dan singer – yang selaras dengan prinsip-prinsip Islam seperti pelestarian diri, kebaikan, kejujuran, pengejaran ilmu, dan tanggung jawab. Selain itu, filosofi Silih Asah, Silih Asih, Silih Asuh mempromosikan kerja sama, empati, dan saling membimbing. Kegiatan budaya seperti pertunjukan angklung dan gamelan, bersama dengan program Kamis Nyunda yang mendorong penggunaan bahasa Sunda dan pakaian tradisional, memperkuat identitas budaya siswa sekaligus menanamkan nilai-nilai moral dan agama. Temuan ini menunjukkan bahwa kearifan lokal Sunda dapat berfungsi sebagai media yang efektif untuk mengintegrasikan nilai-nilai budaya dan Islam dalam pendidikan karakter.
Big Data Analytics for Predicting Customer Behavior in Digital Marketplaces Brahma Fahrezi, Rendi; Marlina, Nina; Haryati, Haryati; Agustina, Depi; Adji, Aad
International Journal of Social Research Vol. 3 No. 6 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

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

Abstract

The rapid growth of digital commerce has generated vast amounts of data from customer interactions within online marketplace platforms. This study aims to analyze the role of Big Data Analytics in predicting customer behavior in digital marketplaces. The research employs a qualitative research approach with a descriptive design to explore how data-driven strategies are used to understand consumer behavior and support business decision-making. Data were collected through in-depth interviews with digital marketing managers and data analysts, questionnaires distributed to licensed employees working in digital marketing and analytics roles, as well as observational analysis of customer interaction patterns on digital marketplace platforms. The results indicate that big data analytics plays a crucial role in identifying customer preferences, predicting purchasing patterns, and improving marketing effectiveness. Predictive models based on transaction history, browsing behavior, and customer reviews enable companies to develop personalized recommendation systems and targeted promotional strategies. These analytical capabilities significantly enhance customer engagement and increase sales performance in digital marketplaces. Furthermore, the findings highlight that organizations implementing advanced data analytics technologies gain competitive advantages through improved customer insights and more efficient marketing strategies. Despite several limitations related to sample size and qualitative data interpretation, this study provides valuable insights into the strategic importance of big data analytics for understanding consumer behavior in digital commerce ecosystems. The study also offers practical implications for businesses seeking to implement data-driven decision-making in the rapidly evolving digital economy.
The Role of Communication Management in Enhancing Reputation for Service Excellence: CV. Indonesian Publications Tamamiyah, Lutfiyatut
International Journal of Social Research Vol. 4 No. 2 (2026): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v4i2.108

Abstract

The growth of the journal publishing services industry in Indonesia has elevated organizational reputation as a critical success factor. In this trust-based sector, reputation is shaped by the quality of communication throughout the service process. This study examines the role of communication management in building and sustaining a reputation for service excellence at CV. Indonesian Publications. A qualitative case study design was employed with three purposively selected informants: a communication manager, an editorial staff member, and a student service user. Data were collected through in-depth interviews, participatory observation, and documentation, and analyzed using an interactive model of data analysis. The company demonstrates effective external communication during client onboarding, generating positive initial perceptions. However, delays in follow-up communication and inconsistent response speed during manuscript processing present reputational risks. Internally, coordination across editorial, technical, and customer service teams is managed through digital platforms and regular evaluations, though workload imbalances periodically disrupt responsiveness. Adaptive, proactive, and relationship-oriented communication systems are essential to sustaining organizational reputation. Synergy between internal and external communication constitutes the primary determinant of client trust and long-term loyalty in the academic journal publishing services sector.
Performance Improvement of MobileNetV2 Through Edge-Preserving Bilateral Filter Approach in Face Recognition Sujarwadi, Maulana
International Journal of Social Research Vol. 3 No. 5 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i5.109

Abstract

The feature extraction process. This study proposes an image preprocessing approach using a Bilateral Filter to enhance the performance of MobileNetV2. The dataset consists of facial images from 82 respondents (comprising a total of approximately 3,444 images, with approximately 42 images captured per respondent across various poses and expressions) collected via Teachable Machine, with dimensions standardized to 224x224 pixels. A quantitative experimental method was conducted, beginning with preprocessing steps such as cropping and resizing. The dataset was partitioned into a 70:20:10 ratio for training, validation, and testing. Furthermore, data augmentation was applied, including position shifts, rotation, zoom, and shear. The model was trained for 50 epochs using the Adam optimizer. The testing results indicate that the integration of the Bilateral Filter significantly improves classification accuracy, increasing it from 69.92% without a filter to 94.31% with the filter. The model demonstrated high precision for most subjects, although variations in accuracy occurred in certain classes due to data diversity. An accuracy improvement of 24.39% confirms that the Bilateral Filter is effective in reducing noise while maintaining the facial edges crucial for Convolutional Neural Network (CNN) feature extraction. This integration provides an optimal solution for face recognition that is both accurate and efficient for implementation on resource-constrained devices.
Dai Perceptions of Chatgpt Use in The Production of Digital Dakwah Content in Cirebon Nurislamiah, Mia; Awliya, Rirry Nissa; Ningsih, Widia
International Journal of Social Research Vol. 3 No. 6 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i6.110

Abstract

The wave of digital transformation that has pervaded nearly every aspect of human life in the twenty-first century carries implications that extend far beyond mere technological change. This shift reshapes the ways in which Muslims in Indonesia conduct dakwah (Islamic proselytisation), which has historically relied on face-to-face forums, religious study circles (majelis taklim), and Friday sermons. In the contemporary digital landscape, dakwah has evolved into digital content disseminated freely across platforms such as YouTube, Instagram, and TikTok, driven by the rapid growth of generative artificial intelligence most notably ChatGPT, launched by OpenAI in late 2022. This study examines the perceptions of dai (Islamic preachers) in Cirebon, West Java, toward the use of ChatGPT in the production of digital dakwah content, employing the Technology Acceptance Model (TAM) as its analytical framework. Using a descriptive qualitative approach with purposive sampling, data were gathered from five informants through in-depth interviews, observation, and documentation, and subsequently analysed using the Miles, Huberman, and Saldaña interactive model. Findings reveal that perceived usefulness is generally positive, particularly regarding content-production efficiency, whilst perceived ease of use varies substantially according to age and digital-literacy level. Three attitudinal typologies were identified: affirmative-pragmatic, critical-selective, and conservative-apprehensive, each grounded in distinct theological, epistemological, and ethical considerations. Behavioural intention to continue using ChatGPT is moderated by social norms within the religious community and the availability of institutional support.
The Role of Work-Life Balance in Increasing Organizational Commitment of Generation Z Ginna Novarianti Dwi Putri Pramesti; Akhmad Syafi’i; Shobichah Shobichah
International Journal of Social Research Vol. 3 No. 5 (2025): Insight : International Journal of Social Research
Publisher : Worldwide Research Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/insight.v3i5.113

Abstract

AbstractThis study examines the role of work-life balance in enhancing organizational commitment among Generation Z employees. Generation Z is characterized by strong preferences for flexibility, digital integration, and a balanced lifestyle, making work-life balance a critical factor in shaping their attitudes toward organizations. The objective of this research is to analyze how work-life balance influences organizational commitment, particularly in terms of affective, continuance, and normative commitment among Generation Z workers. This study adopts a qualitative-descriptive approach based on literature review by analyzing relevant academic journals, books, and empirical studies related to work-life balance and organizational commitment. The findings indicate that effective work-life balance practices, such as flexible working hours, remote work options, supportive leadership, and mental well-being programs, significantly contribute to increasing employee satisfaction and reducing work-related stress. These conditions ultimately strengthen employees’ emotional attachment and loyalty to the organization. The results further reveal that Generation Z employees are more likely to remain committed to organizations that acknowledge their personal needs and provide a healthy integration between work and life. Conversely, poor work-life balance tends to increase turnover intention and reduce engagement levels. Therefore, organizations that prioritize work-life balance are more successful in retaining young talent and building long-term commitment. In conclusion, work-life balance is a key determinant of organizational commitment among Generation Z. Organizations are encouraged to adopt adaptive and employee-centered policies to enhance commitment and sustain workforce stability in the evolving labor market.

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