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Integrating field inventory and in silico phylogenetic analysis of pteridophytes at Gandul Mount, Indonesia
Pteridophytes are vascular plants that are considered the most primitive plants because they only use spores to reproduce. Several major fern families exhibit distinctive morphological and ecological characteristics that support their taxonomic recognition. Pteridophytes represent an important component of tropical biodiversity, yet their diversity and evolutionary relationships in karst ecosystems remain poorly documented. This study aimed to integrate field inventory and in silico phylogenetic...
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Diversity of plankton species in different ecosystems on Beras Basah Island, Bontang, East Kalimantan
Imam Fadila, Muhammad
; Anjasmara, Aang Setyawan
; Rizal, Daisy Rahma
; Rusdi, Rismawaty
; Reynalta, Ricko
Beras Basah Island, located in the coastal waters of Bontang City, East Kalimantan, is a marine conservation area characterized by diverse coastal ecosystems, including marine waters, coral reefs, and seagrass beds. These ecosystems support various aquatic organisms, including plankton communities that play a key role in marine food webs. This study aimed to examine the composition, abundance, and diversity of plankton across three different ecosystems around Beras Basah Island. Sampling was con...
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Comparative Evaluation of Parameter-Efficient Fine-Tuning Strategies for Continual Image Classification
Catastrophic forgetting remains a major challenge in continual transfer learning, where performance on earlier tasks degrades after sequential adaptation. While full fine-tuning updates all parameters and achieves strong performance on new tasks, it is computationally expensive and prone to forgetting. This study compares parameter-efficient fine-tuning (PEFT) methods—adapters, additive learning, side-tuning, LoRA, and zero-initialized layers—against full fine-tuning on CIFAR-100 using a two-sta...
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Exploring the Satisfaction–Revenue Nexus: A Mixed-Methods Analysis of RevPAR Performance in Southeast Asian Three-Star Hotels
This research aims to explore the satisfaction–revenue nexus by examining the effect of tourist satisfaction on Revenue Per Available Room (RevPAR) performance in three-star hotels across Southeast Asia. Grounded in Expectation–Confirmation Theory and the Service-Profit Chain framework, the study conceptualizes tourist satisfaction as a strategic intangible asset that contributes to financial performance through both direct and indirect mechanisms. A mixed-methods sequential explanatory design w...
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Financial Management Practices Driving Sustainable Community Empowerment in Somongari Tourism Village
This study examines the strategic role of financial management in empowering the community of Somongari Tourism Village, Purworejo Regency, which serves as a model of Community-Based Tourism (CBT). Despite its rich natural and cultural assets, the village faces challenges in sustaining tourism growth due to fluctuating visitor numbers, limited services differentiation, and uneven income distribution. The research aims to evaluate how transparent and participatory financial practices can strength...
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System Dynamics-Based Industrial Modeling of Aluminium Processing in Indonesia
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 2
(2026)
The Indonesian aluminum industry has great potential due to its abundant bauxite reserves, but downstream development to increase added value is still limited. This study uses a dynamic system model to simulate the development of Indonesia's aluminum industry, taking into account variables such as bauxite reserves, production capacity, demand, energy costs, raw material prices, and downstream development barriers. A scenario-based simulation method is applied to evaluate the impact of various po...
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Development of Canva-Based Mathematics Learning Media to Improve Conceptual Understanding of the System of Linear Equations in Two Variables for Grade VIII Students
Journal of Emerging Technology in Teaching and Learning
Vol 2
, No 1
(2026)
This study aims to develop Canva-based learning media that are valid, practical, and effective in improving students’ conceptual understanding of the System of Linear Equations in Two Variables (SLETV) among eighth-grade students at SMP Negeri 1 Padang Bolak Julu. The research employed a Research and Development (R&D) method using the ADDIE model, which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. The research instruments consisted of questionnaires a...
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DEVELOPMENT OF WAYANG PICTURE GUESSING GAME (TEBANG) LEARNING MEDIA BASED ON QUICK APP NINJA
Journal of Emerging Technology in Teaching and Learning
Vol 2
, No 1
(2026)
This study aims to develop a practical and effective game-based learning media to address the lack of teacher creativity in designing digital media, specifically for Javanese language subject on Wayang material at MI Tegalroso Parakan. This Research and Development (R&D) used the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The research subjects were third-grade students of MI Tegalroso Parakan (n=8). Data collection instruments included needs questionnaires, medi...
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Analisis Kinerja Sistem Informasi Ekspedisi Nasional Berorientasi Website dan Mobile
This study aims to evaluate the performance of digital information systems, including websites and mobile applications, used by national expedition companies in Indonesia, using standardized technical indicators from Google Web.dev. This research employs a descriptive and evaluative approach with purposive sampling. The research objects comprise five major national expedition companies: JNE, J&T Express, SiCepat, Pos Indonesia, and Lion Parcel. The evaluation is conducted using four main ind...
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Development of a Lightweight CNN Architecture for Multiclass Brain Tumor Detection Based on RGB Images
Telematika
Vol 19
, No 1
(2026)
Convolutional Neural Networks (CNNs) have become the backbone of various computer vision applications, including medical diagnosis and disease detection. In the context of brain tumor detection, CNNs have demonstrated their capacity to interpret the subtle complexities present in brain images, distinguish between various tumor categories, and provide essential information that can inform clinical decision-making and personalized treatment planning.This study aims to develop a lightweight Convolu...
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