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Menampilkan 11–20 dari 4436 artikel
Behavior of Lightweight Aggregate Concrete with FRP Confinement: Experimental Insights for Structural Applications
Louk Fanggi, Butje Alfonsius
; Yuyun Tajunnisa
; Hazen Masrafat
; Jusuf Wilson Meynerd Rafael
; Alva Yuventus Lukas
; Niakku Immanuel Maggang
; Joko Suparmanto
; Melati Tabita Kirana Thei
Lightweight aggregate concrete reduces structural dead load but generally exhibits lower compressive strength and ductility than normal-weight concrete. This study experimentally evaluates the effectiveness of carbon-fibre-reinforced polymer (CFRP) confinement for low-density lightweight aggregate concrete, an area in which data for square sections remain limited. Twelve 300-mm-high specimens with a density of approximately 1550 kg/m³ were tested under monotonic concentric compression. The inves...
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Freeze-Dried Phycocyanin Microcapsules: Effect of Maltodextrin-Soy Protein Ratios on Encapsulation Efficiency and Particle Properties
Natural pigments such as phycocyanin are highly sensitive to environmental conditions and therefore require stabilization to broaden their applications in functional products. This study aimed to evaluate the effect of varying ratios of maltodextrin and soy protein isolate (SPI) on the physical properties and encapsulation performance of freeze-dried phycocyanin microcapsules. Phycocyanin was extracted using phosphate buffer and encapsulated in three formulations with different maltodextrin–SPI...
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Strengthening the Capacity of Nasyiatul Aisyiyah Branch Members through Digital Literacy and Social Leadership Programs
Abdi Psikonomi
(2026)
This community service program was conducted at the Branch Leadership of Nasyiatul Aisyiyah (PCNA) Colomadu, Karanganyar. One of the main challenges faced by PCNA is the absence of activities that encourage adolescents to participate in organizational activities and utilize their youth through positive and productive engagements. Therefore, this program was highly expected by the partner institution to facilitate the establishment of the Nasyiatul Aisyiyah Sub-Branch Leadership (PRNA) structure...
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Pengaruh Jam Belajar dan Kehadiran terhadap Nilai Ujian Siswa Menggunakan Logistic Regression dan Decision Tree
Journal of Informatics Education
Vol 9
, No 1
(2026)
Perkembangan teknologi data memberikan peluang dalam menganalisis faktor-faktor yang memengaruhi performa akademik siswa secara lebih objektif dan berbasis data. Penelitian ini bertujuan untuk menganalisis pengaruh jam belajar dan tingkat kehadiran terhadap nilai ujian siswa di SMP Negeri 3 Sokaraja menggunakan pendekatan pembelajaran mesin terawasi, yaitu algoritma Logistic Regression dan Decision Tree. Dataset yang digunakan terdiri dari data siswa yang mencakup variabel Study_Hours, Attendanc...
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Analisis Sentimen Layanan Aplikasi Pendidikan Menggunakan Multinomial Naive Bayes
Journal of Informatics Education
Vol 9
, No 1
(2026)
The rapid development of educational technology has increased the use of e-learning applications such as Ruangguru, generating a large amount of user reviews on Google Play Store that can be utilized to evaluate service quality. This study aims to analyze the sentiment of Ruangguru user reviews using the Multinomial Naive Bayes algorithm. The research data consisted of 5,000 user reviews collected through web scraping techniques from Google Play Store. The data were processed through severa...
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Penerapan ROP Berbasis Business Intelligence untuk Efisiensi Persediaan Depot Barokah
Journal of Informatics Education
Vol 9
, No 1
(2026)
Pengelolaan persediaan bahan baku merupakan aspek penting dalam menjaga kelancaran operasional dan efisiensi biaya pada usaha kuliner. Depot Barokah masih melakukan pemesanan bahan baku secara manual berdasarkan perkiraan, sehingga berpotensi menimbulkan overstock maupun stock-out. Penelitian ini bertujuan menerapkan metode Reorder Point (ROP) berbasis Business Intelligence (BI) untuk menentukan waktu pemesanan ulang bahan baku secara lebih tepat dan efisien. Penelitian menggunakan pendekatan de...
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Analisis Sentimen Ulasan Pengguna Layanan Publik Menggunakan Algoritma Naïve Bayes
Journal of Informatics Education
Vol 9
, No 1
(2026)
This study aims to analyze the sentiment of user reviews of the Super App Polri application on the Google Play Store using the TF-IDF feature extraction method and the Multinomial Naïve Bayes classification algorithm. Super App Polri is a digital service of the Indonesian National Police providing SIM, STNK, SKCK renewals, and public complaint services. Data were collected via web scraping of 3,500 user reviews. Preprocessing stages—cleansing, case folding, tokenizing, stopword removal, and stem...
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Analisis Implementasi Keselamatan,Kesehatan Kerja, dan Lingkungan (K3L) dalam Pelaksanaan Praktik Di Workshop Politeknik Gajah Tunggal
Journal of Occupational Health, Hygiene and Safety
Vol 3
, No 1
(2026)
Research conducted at the Gajah Tunggal Polytechnic aims to explore the implementation of safety, health, security and environmental (K3L) practices in mechanical engineering workshops. The results show that students have a good understanding of work safety, with 96.8% of them aware of the potential dangers that exist in the workshop environment. Even though the majority of students, namely 82.25%, use personal protective equipment (PPE) during practicum, there are still 17.75% who do not use it...
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Optimization of Tracking Algorithm on Mouse Movement Monitoring Platform in Medical Testing
Ibrahim, Sutrisno
; Rohmani, Rahmat
; Hariyono, Joko
; Rahutomo, Faisal
; Wiyono, Nanang
; Yudhani, Ratih
Accurate monitoring of mouse behavior in the Elevated Plus Maze (EPM) is essential for anxiety-related biomedical research, yet manual observation is time-consuming, subjective, and prone to human error. This study proposes an optimized automated tracking framework that integrates YOLOv8 detection with tracking methods including an adaptive Kalman Filter and DeepSORT, and compares them with conventional trackers such as CSRT and GOTURN. System performance was evaluated using Intersection over Un...
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Metaheuristic Optimization Stacking Application for Rainfall Classification: A Comparative Study
Accurate rainfall classification plays a vital role in effective meteorological forecasting, agricultural planning, and also to avoid natural disasters. However, standard classification models often exhibit unstable performance. This study evaluates the effectiveness of an Ensemble Stacking framework enhanced with Optimized Swarm Based and Metaheuristic method such as Artificial Bee Colony (ABC) and Cuckoo Search (CS) optimization algorithms to improve prediction reliability. The proposed approa...
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