Abstract:This study aims to analyze the role of innovation and technology in strengthening the Islamic finance ecosystem in the digital era. The research employs a qualitative-descriptive approach through a literature-based analysis…
sis integrating technology adoption theories (TAM, UTAUT, DOI) and the principles of maqaṣid al-shari’ah as the theoretical foundation. The findings reveal that perceived usefulness, ease of use, social influence, and infrastructural support are the key determinants influencing users’ intentions toward adopting Islamic financial technologies. Furthermore, Shariah-compliant fintech innovation driven by maqaṣid al-shari’ah enhances financial inclusion, ethical governance, and sustainable economic development. The study emphasizes that collaboration among regulators, financial institutions, and educational entities is crucial to developing adaptive regulations and strengthening digital-Shariah literacy. The main conclusion underscores the significance of aligning technological innovation with Islamic ethical principles to advance the competitiveness of the Islamic finance industry globally.
Abstract:This study investigates the influence of academic leadership styles on the quality of higher education in Indonesia, focusing on permanent lecturers in public and private universities under the Ministry of Education in South…
outh Sulawesi. Using a quantitative explanatory approach and survey method, data were collected from 120 respondents and analyzed through Structural Equation Modeling (SEM) using SmartPLS. The study examines three leadership styles—transformational, transactional, and distributed—and their impact on teaching quality, institutional governance, student outcomes, and academic services. The findings reveal that all three leadership styles positively affect higher education quality, with transformational leadership having the most significant impact, followed by distributed and transactional styles. These results underscore the importance of visionary and participative leadership in improving institutional performance, particularly in regional universities facing resource and structural limitations. The study contributes theoretically by validating leadership models in a non-Western context and practically by offering insights for leadership development policies. It highlights the need for adaptive leadership strategies tailored to local academic cultures and institutional dynamics to enhance educational quality in Indonesian higher education.
Abstract:The Malacca Strait is a vital maritime route that faces significant challenges from high traffic volumes and increasingly frequent extreme weather scenarios. These conditions pose serious risks to navigational safety, environmental…
vironmental integrity, and maritime operational security. This study aims to analyse the needs and components of a robust maritime surveillance architecture in the Malacca Strait, particularly in dealing with the impacts of extreme weather and climate change. Additionally, this research will explore the role of geospatial maritime intelligence in enhancing situational awareness and response to maritime incidents. The study findings indicate that a resilient surveillance architecture in the Malacca Strait requires the integration of advanced sensor systems (including multi-spectral radar and meteorological/oceanographic sensors), redundant communication networks, and AI/ML-based intelligent data processing. The adaptive capabilities of the system, including the use of UAVs and USVs, are critical to maintaining operational effectiveness in adverse weather conditions. Additionally, international cooperation and a robust policy framework, encompassing climate change adaptation and ethical considerations, are fundamental to the successful implementation and sustainability of surveillance systems. The Malacca Strait case study highlights specific vulnerabilities and proposes concrete solutions, illustrating a shift from a reactive to a proactive paradigm in maritime security. Building a resilient surveillance architecture in the Malacca Strait is a strategic imperative to safeguard global trade, regional stability, and environmental sustainability amid increasing climate uncertainty. Integrating cutting-edge technology with robust policies and international collaboration will ensure the safety and security of this vital waterway, making it a model for resilient maritime governance globally. A new aspect emphasised is the importance of adapting to climate change and the role of AI in predictive decision-making. This article presents a comprehensive and integrated approach to building a resilient maritime surveillance architecture, with a particular focus on the challenges of extreme weather in the Malacca Strait. Its originality lies in its emphasis on multi-sensor data fusion, the role of artificial intelligence in predictive analytics, and the integration of climate change adaptation into surveillance system design. Additionally, the article underscores the importance of a robust policy framework and international cooperation as the cornerstones of maritime surveillance resilience, offering a blueprint applicable to other critical maritime routes worldwide
Abstract:This study examines the role of textual practice (micro-structure) in shaping humanitarian narratives in news coverage of the Israel-Palestine conflict by CNN US and CNN Indonesia. Employing Fairclough’s Critical Discourse…
urse Analysis (CDA), the research identifies key linguistic features, including lexical choices, sentence structure, modality, rhetorical devices, and pronoun usage, that contribute to the ideological framing of news articles. The findings indicate that CNN US employs neutral and euphemistic language, passive constructions, and hedging devices to maintain journalistic objectivity, whereas CNN Indonesia utilizes emotionally charged language, active voice, and definitive claims to frame the conflict with a strong pro-Palestinian stance. These textual differences underscore the influence of language in constructing public perceptions of humanitarian crises.
Abstract:This study observes university students' perspectives on corruption and civic integrity in Indonesia through a survey of 24 active students. The survey covered aspects such as awareness of corruption, the importance of personal…
ersonal integrity, and the role of students in combating corruption. The majority of respondents acknowledge the importance of integrity in daily life, demonstrate a fair understanding of corruption issues, and recognize a significant role for students in anti-corruption efforts. However, skepticism exists regarding the effectiveness of Indonesia's legal system in addressing corruption. The findings underscore the need for enhanced education on the dangers of corruption, the reinforcement of integrity values, and a call for more transparent and rigorous law enforcement.
Abstract:Penelitian yang dilakukan pada sektor UMKM yang bertujuan untuk mengetahui seberapa kontribusi penerapan Balanced Scorecard (BSC) dengan menggunakan empat perspektif: keuangan, pelanggan, proses bisnis internal dan pembelajaran…
lajaran dan pertumbuhan. Manfaat dari penelitian ini adalah bahwa sktor UMKM memiliki strategi bisnis yang tepat dan program kerja yang dapat menghadapi perubahan tersebut, memungkinkan untuk mempertahankan dan memperluas bisnisnya di masa depan sesuai dengan visi dan misi. Dengan penelitian ini, penerapan BSC melalui empat perspektif dapat memberikan kontribusi signifikan terhadap kinerja perusahaan. Hal ini menunjukkan bahwa UMKM berorientasi terus menerus untuk mempertahankan kepuasan pelanggan, mendapatkan kepercayaan dari kualitas produk diikuti yang dengan dukungan mereka secara produktif dan berkomitmen, karyawan akan ma mpu memberikan produk / jasa dengan efisien, konsisten dan tepat waktu.
Abstract:This research aimed to find the effect of Simon Says activities in enhancing students’ listening skill at SMPN 14 Kota Serang. Quantitative research method by implementing quasi-experimental study using Simon Says activities…
vities to enhancing students’ listening skill at SMPN 14 Kota Serang. The population was seventh-grade students with 2 classes as a sample. In this study, 37 students in the experiment class and 37 students in the control class made up the sample. The data were collected using listening pre-test and listening post-test as instruments. SPSS 22.0 were used to analysed the data. The result of the research was there was significant difference between experimental class and control class where experimental class score increased to 84.41, while the control class only increased to 74.05. The analysis showed that the mean score of post-test in the experimental class was higher than control class. The result of Independent Sample Test table in this study was 0.000 < 0.05. This value means that the alternative was accepted and the null hypothesis was rejected. It can conclude that there is significant effect of Simon Says activities in enhancing students’ listening skill at SMPN 14 Kota Serang.
Abstract:Data mining membantu bisnis membuat produksi yang menguntungkan dan penyesuaian operasional. Pengelolaan persediaan stok barang merupakan aspek krusial dalam manajemen bisnis ritel modern yang memerlukan pendekatan analitis…
tis untuk optimalisasi. Data Mining dengan metode K-Means Clustering mampu menganalisis dan mengelompokkan pola persediaan stok barang. Tahapan yang dilakukan pra-pemrosesan data, implementasi K-Means Clustering, dan evaluasi model menggunakan metrik Sum of Squared Errors (SSE) dan Silhouette Score. Hasil analisis menggunakan metode Elbow menunjukkan tiga cluster optimal dengan nilai SSE final 51.69, menandakan kohesi internal yang baik. Evaluasi menggunakan Silhouette Score menghasilkan nilai 0.498, mengindikasikan keseimbangan yang baik antara kohesi dan separasi cluster. Hasil clustering mengidentifikasi tiga pola distinct dalam persediaan stok: Cluster 0 mendominasi periode akhir tahun dengan rentang stok 780-840 unit, Cluster 1 terkonsentrasi pada awal tahun dengan rentang 840-920 unit, dan Cluster 2 sebagai cluster transisi pada pertengahan tahun dengan rentang 840- 880 unit. Visualisasi temporal menunjukkan pola seasonal yang jelas dalam pengelolaan persediaan sepanjang tahun. Implementasi K-Means Clustering berhasil menghasilkan pengelompokan yang bermakna dan dapat diinterpretasikan dalam konteks manajemen inventori.
Abstract:Stunting pada balita merupakan permasalahan kesehatan masyarakat yang serius dan memerlukan penanganan segera melalui deteksi dini yang akurat. CNN (Convolutional Neural Network) merupakan metode yang akurat, efektif dan…
tepat sasaran dalam memberikan hasil yang akurat dan presisi. Implementasi metode CNN dapat mengklasifikasikan status stunting pada balita berdasarkan parameter antropometri dan karakteristik kesehatan. Dataset yang digunakan terdiri dari 6.500 sampel data balita dengan 8 variabel meliputi jenis kelamin, usia, berat lahir, panjang lahir, berat badan, panjang badan, riwayat ASI eksklusif, dan status stunting. Metodologi yang digunakan melibatkan serangkaian tahapan preprocessing data termasuk standardisasi fitur menggunakan StandardScaler, pemisahan data training (80%) dan testing (20%), serta penggunaan arsitektur CNN yang terdiri dari layer konvolusi 1D dengan 32 filter, max pooling, dan dense layer. Model dilatih menggunakan optimizer Adam dengan fungsi loss categorical crossentropy selama 10 epoch dan batch size 32. Evaluasi performa model dilakukan menggunakan berbagai metrik termasuk accuracy, precision, recall, dan F1-score.
Hasil penelitian menunjukkan bahwa model CNN yang dikembangkan mencapai performa yang sangat baik dengan akurasi 90%, precision 89%, recall 92%, dan F1-score 91%. Analisis confusion matrix mengkonfirmasi kemampuan model dalam mengklasifikasikan kedua kelas yaitu pada stunting dan non-stunting secara seimbang. Temuan ini mengindikasikan bahwa implementasi CNN efektif dalam mengidentifikasi status stunting pada balita dan berpotensi menjadi alat bantu yang berharga dalam screening stunting di fasilitas kesehatan.
Abstract:Penelitian ini bertujuan untuk mengevaluasi dan mengidentifikasi strategi-strategi efektif dalam meningkatkan kinerja sumber daya manusia (SDM) melalui pelatihan dan pengembangan kompetensi karyawan. Dengan metode kajian…
literatur yang komprehensif, penelitian ini mengungkap bahwa penerapan pelatihan berbasis teknologi, seperti e-learning, tidak hanya meningkatkan fleksibilitas waktu tetapi juga efektivitas pelatihan dalam penyampaian materi. Selain itu, evaluasi kinerja yang dilakukan dengan pendekatan Management by Objectives (MBO) dan Human Resource Scorecard (HRSc) terbukti efektif dalam mendorong kontribusi karyawan terhadap pencapaian tujuan strategis organisasi. Demikian, penelitian juga mengidentifikasi beberapa kendala yang umum dihadapi, seperti keterbatasan anggaran dan kurangnya dukungan dari manajerial, yang berpotensi menghambat keberhasilan program pelatihan. Oleh karena itu, penelitian ini memberikan rekomendasi untuk pelatihan berkelanjutan yang tidak hanya relevan dengan kebutuhan perusahaan tetapi juga mampu menyesuaikan diri dengan dinamika dan tantangan globalisasi. Melalui strategi yang tepat, pelatihan SDM dapat menjadi salah satu komponen penting dalam meningkatkan daya saing perusahaan di pasar yang semakin kompetitif.