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Transformasi Perilaku Wisatawan dalam Aktivitas Pendakian Gunung: Motivasi, Mediasi Digital, dan Dinamika Sosial di Era Postmodern
Irianto Putra, Adhika Graha
; Dwi Hadian, Mohammad Sapari
; Nugraha, Awaludin
; Maharani, Najla Raisa
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 5
, No 1
(2026)
This study aims to analyze the transformation of tourist behavior in mountain hiking activities in the Sindoro, Sumbing, and Slamet (3S) area of Central Java within the context of nature-based tourism trends and digital mediation. A descriptive qualitative approach was employed, involving eight purposively selected hikers. Data were collected through semi-structured interviews, participant observation, and analysis of social media posts. The findings reveal a shift in motivation from physical ch...
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Implementasi Kepemimpinan Integratif Berbasis Nilai Profetik: Studi Analitis Gaya Transformasional, Instruksional, dan Servant di SMA Muhammadiyah PK Kottabarat Surakarta
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 5
, No 1
(2026)
The principal’s leadership plays a strategic role in determining the direction and quality of educational implementation in schools. This study aims to analyze the implementation of integrative leadership based on prophetic values through the application of transformational, instructional, and servant leadership styles at SMA Muhammadiyah PK Kottabarat Surakarta. Islamic-based schools face challenges in integrating academic excellence with the development of religious character; therefore, a lea...
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A Clustering-Popularity-based Model for Cold-Start Recommendations using User Attributes and Item Ratings
Ifada, Noor
; University of Trunojoyo Madura
; Nikmat, Moh
; Universitas Trunojoyo Madura
; Suristiar, Weni Pratiwi
; Universitas Trunojoyo Madura
; Sophan, Mochammad Kautsar
; Universitas Trunojoyo Madura
Telematika
Vol 19
, No 1
(2026)
Recommendation systems face a major challenge known as the cold-start problem, which occurs when the system lacks sufficient user interaction data. Thus, there is no basis for a recommendation. Existing approaches, such as co-clustering methods and non-personalized popularity models, often struggle to effectively combine heterogeneous user and item data (categorical user attributes and numerical item ratings) or to capture latent group-level preferences. To bridge this gap, we propose a new clus...
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Determinan Status Gizi Ibu Hamil
Jurnal Keperawatan Karya Bhakti
Vol 12
, No 1
(2026)
Abstrak
Latar Belakang: Status gizi ibu hamil yang buruk dapat berdampak serius bagi kesehatan ibu dan janin berupa peningkatan angka morbiditas maupun mortalitas. Badan Pusat Statistik Jateng mencatat jumlah ibu hamil dengan KEK di Kabupaten Temanggung masih cukup tinggi sehingga memerlukan perhatian khusus. Determinan status gizi ibu hamil perlu diketahui untuk dapat dilakukan upaya tindak lanjut yang tepat dalam mencegah terjadinya status gizi yang buruk. Tujuan: mendeskripsikan fakt...
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Effect of NaOH Molarity on Gel Formation at the Geopolymer–Artificial Aggregate Interface for Pavement Applications
Saputro, Yayan Adi
; Adnan
; Mohammad, Gunawan
; Hidayati, Nor
; Muna, Nando Nilna
; Ningrum, Aprilia Citra
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
This study investigates the effect of NaOH molarity (10, 12, and 14 M) on gel formation at the geopolymer–artificial aggregate interfacial transition zone (ITZ) for sustainable pavement binder courses. The study focuses on microstructural and chemical characteristics rather than direct mechanical performance. Using XRF, FTIR, and SEM–EDX analyses, the evolution of gel phases from N-A-S-H to hybrid N/C-A-S-H at the interface was systematically characterized. Increasing NaOH molarity enhanced alum...
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Stratification and Charging Efficiency in Compact Thermal Storage Under Variable Flow Conditions: An AI-Assisted Simulation Study
Simanjuntak, Janter P.
; Daryanto, Eka
; Tambunan, Bisrul Hapis
; Silaban, Robert
; Sinaga, Denny Haryanto
; Zainon, Mohd Zamri
; Muhammad Ibrahim
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Thermal Energy Storage (TES) systems are essential for managing low-grade heat in renewable energy applications. This study evaluates the impact of flow rate and heating power on thermal stratification and efficiency within a 30-liter TES unit. Using an AI-assisted simulation framework, the system's performance was analyzed across varying flow rates (0.3–0.9 LPM) and heater capacities (1.5–2.0 kW). Results indicate that lower flow rates (0.3–1.2 LPM) effectively preserve stratification, whereas...
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Unifying Dual-Pyramid Structure and Y–G Channel Synergy for Full-Reference Image Quality Assessment
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Standard metrics such as SSIM often overlook complex chromatic distortions, creating a gap between objective scores and human judgment. To address this, we present the Synergistic Structural Similarity Index (SSSI), a metric grounded in a novel dual-pyramid strategy that integrates Gaussian-blurred stability with direct subsampling sharpness. Our method departs from luminance-only analysis by employing an equal, synergistic partnership between the luminance (Y) and Green (G) channels, mirroring...
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Spatial Analysis of Flood-Prone Areas in Padang Terap, Kedah: Integrating Spatial Autocorrelation and Optimized Hotspot Analysis
Ahmad, Azizul
; Said , Mohd Zulhafiz
; Abdul Gapor , Salfarina
; Jamru , Lindah Roziani
; Jubit , Norita
; Mohd Najib , Sumayyah Aimi
; Masron, Tarmiji
; Ariffin, Nur Afiqah
; Zakaria , Yaniza Shaira
Forum Geografi
Vol 40
, No 1
(2026)
Flooding increasingly threatens socio-economic resilience in Malaysia, particularly in vulnerable districts such as Padang Terap, Kedah. Using a GIS-based framework integrating Spatial Autocorrelation (Moran’s I) and Optimized Hotspot Analysis (Getis-Ord Gi*), this study quantifies spatial clustering of flood-prone areas across four inundation levels (0.3 m–3.7 m). Results reveal intensifying positive spatial autocorrelation with rising flood depths, reflecting hydrological connectivity and topo...
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Prediksi Harga Saham Menggunakan ARIMA Outlier sebagai Pendekatan Awal Menuju Analisis AI Keuangan
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
Perkembangan kecerdasan buatan (AI) mendorong inovasi dalam analisis keuangan, termasuk prediksi harga saham yang fluktuatif. Penelitian ini bertujuan memprediksi harga saham PT Garudafood Putra Putri Jaya Tbk menggunakan model ARIMA dengan penanganan Outlier sebagai pendekatan awal menuju sistem prediksi yang lebih adaptif. Data harga penutupan harian dari Yahoo Finance dianalisis melalui uji stasioneritas, identifikasi model ARIMA, deteksi Outlier berbasis log-return, serta evaluasi performa m...
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Analisis Manajemen Risiko pada Sistem Informasi Divisi Produksi Menggunakan ISO 31000:2018 di PT Bangkit Laksana Jaya Ban
Mohammad Falko Fahlevi
; Anita Hakim Nasution
; Raulia Riski
; Auditya Fariz Chrisnadeva
; Desyka Widya Haryanti Haryanti
Vol 5
, No 1
(2026)
Perkembangan teknologi informasi yang semakin pesat turut meningkatkan potensi ancaman dan risiko yang dihadapi perusahaan, khususnya pada aktivitas produksi. Oleh karena itu, penerapan manajemen risiko yang efektif menjadi kebutuhan penting untuk melindungi aset perusahaan, menjaga keberlangsungan bisnis, serta mendukung pencapaian tujuan organisasi. Penelitian ini bertujuan untuk mengidentifikasi, menganalisis, dan mengevaluasi risiko pada divisi produksi PT Bangkit Laksana Jaya Ban (BANLAK) d...
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