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114 results for “Indonesian”
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Research ArticleOpen accessIn the abstractFractionated Distillation Behavior and Aroma Component Enrichment of Citronella Oil (Cymbopogon winterianus Jowitt) from West SumatraDaimon Syukri, Anni Faridah, Bayu Indra Lesmana et al.This study aimed to separate the constituent components of citronella oil into several fractions with high purity and to identify the characteristics of the resulting fractions. The research was conducted using an exploratory approach to investigate the fractionation behavior of citronella oil more deeply. The raw materials were citronella oils obtained from three regions in West Sumatra: Batusangkar, Solok, and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 10 Aug 2026 · 849 accessesView PDFCite
Review ArticleOpen accessIn the abstractImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiodiversity and Spatial Distribution of Hornbills in Pondok Buluh Educational Forest, North Sumatra, IndonesiaBudi Utomo, Nabillah Saraswita, Cindy Siahaan et al.Hornbills are large birds, several species of which are protected under national and international conservation legislation and face significant extinction risk. This study was conducted in the Specific Purposes Pondok Buluh Forest Area, North Sumatra, Indonesia, with the aim of identifying hornbill species present, estimating their population density, and characterizing their habitat. Hornbill surveys were carried out using the point … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 28 Mar 2026 · 1,405 accessesView PDFCite
Research ArticleOpen accessIn the abstractMolecular Identification and Antioxidant Profiling of Penicillium heteringtonii EUA-017 from Mangrove (Avicennia alba) in West Sumatra, IndonesiaAnthoni Agustien, Djong Hon Tjong, Yetria Rilda et al.Mangrove ecosystems harbor diverse endophytic fungi that produce bioactive secondary metabolites with potential antioxidant activities. This study aimed to identify an endophytic fungal isolate (EUA-017) from Avicennia alba mangroves in West Sumatra, Indonesia, and characterize its antioxidant metabolites. Molecular identification was performed using internal transcribed spacer (ITS) region sequencing. Secondary metabolites from ethyl acetate extracts were characterized using Fourier-transform infrared … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 25 Mar 2026 · 1,410 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in IndonesiaBhustomy Hakim, Fergie Joanda Kaunang, Yemima Monica Geasela, Regina HillaryTraffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study aims to develop an intelligent traffic light system that dynamically adjusts sequencing based on real-time road conditions. A dataset of 902 CCTV images was collected from intersections in six large cities across Indonesia, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassifcation of Social Media Posts X For Mental Health Symptoms Identification Using NLP Techniques and Transformers ModelAndika Dwi Asmoro Wicaksono, RojaliThe increasing use of social media has enabled large-scale analysis of user-generated content to monitor mental health trends. This study focuses on sentiment prediction of mental health-related posts on platform X using transformer-based models, specifically IndoBERT, DistilBERT, and IndoRoBERTa. The goal is to evaluate the effectiveness of these models in classifying social media posts into positive, negative, and neutral sentiment … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,851 accessesView PDFCite