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Menampilkan 31–40 dari 3396 artikel
Experimental Analysis of Voltage and Multi-Point Temperature Distribution in a 6S Lithium-Ion Battery Pack Under Constant Current Loading
Lithium-ion batteries are widely utilized in energy storage applications; however, temperature non-uniformity remains a critical issue affecting performance, safety, and lifespan. This study presents an experimental investigation of the correlation between voltage and multi-point temperature distribution in a 6S lithium-ion battery pack under a constant ±5 A charge–discharge current. Temperature measurements were obtained from three sensor locations to capture spatial thermal variations during o...
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Optimization of Mangrove Glucomannan Addition to Improve Physicochemical Properties of Kefir
Jeki Mediantari Wahyu Wibawanti
; Zulfanita
; Dita Yuzianah
; Harisun Binti Ya’acob
; Anang Mohamad Legowo
; Setya Budi Muhammad Abduh
; Sri Mulyani
Kefir is widely recognized as a functional fermented dairy product. However, its physicochemical stability, particularly pH, acidity, and syneresis, remains a challenge during processing and storage. The addition of functional polysaccharides, such as mangrove-derived glucomannan, has been proposed to improve kefir quality. This study aimed to investigate the effect of mangrove-derived glucomannan on the physicochemical properties of kefir. A Completely Randomized Design with different concentra...
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MORPHOLOGICAL CHARACTERIZATION OF BRAIN TUMOR TISSUE IN MRI IMAGES USING CNN AND TRANSFER LEARNING
Hilmi, Dafa Fadhilah
; Wibawa, Aji Prasetya
; Agustavada, Ardha Ardhana Putra
; Sholum, Abdullah
; Dwiyanto, Felix Andika
This study evaluates the role of computational pattern recognition as an observational method for analyzing morphological characteristics of brain tumor tissue in MRI data. A total of 6,056 labeled MRI images, including glioma, meningioma, and pituitary tumor cases, were examined. The images were standardized to maintain uniform structural representation and processed using three convolutional-based architectures: a baseline CNN, MobileNetV2, and EfficientNet-B0. Model performance was assessed u...
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THE ROLE OF ESG AND DIGITAL TRANSFORMATION IN MARKET REACTIONS EVIDENCE FROM EARNINGS MANAGEMENT AND ERC
Jurnal Akuntansi, Keuangan dan Auditing
Vol 7
, No 1
(2026)
ABSTRACT
This study aims to analyze the effect of Earnings Management, Environmental, Social, and Governance (ESG), and Digital Transformation on the Earnings Response Coefficient (ERC) in telecommunications companies listed on the Indonesia Stock Exchange for the period 2020–2024. Using a quantitative method with Partial Least Squares (PLS) analysis, this study consists of 51 companies selected purposively. The results show that Earnings Management has a significant negative effect on ERC, whi...
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Microencapsulation of Phycocyanin from Spirulina platensis by Freeze-Drying: Optimization of Maltodextrin–Soy Protein Matrices for Enhanced Stability and Antioxidant Functionality
Marlina, Dian
; Saputra, Ryan Werytama
; Aji Prasetyo, Takad Bagas
; Muhamad Ansory, Hery
; Aisiyah, Siti
; Purwaningsih, Desi
Phycocyanin, a natural blue pigment from Spirulina platensis, exhibits strong antioxidant activity but is highly unstable under light, heat, and pH variations, limiting its practical applications. This experimental study addresses the lack of systematic optimization data on maltodextrin–soy protein isolate (SPI) wall matrices for phycocyanin microencapsulation via freeze-drying. Phycocyanin was extracted using phosphate buffer and encapsulated at different maltodextrin:SPI ratios (9:1, 8:2, and...
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PHYTOCHEMICAL SCREENING AND ANTIBACTERIAL ACTIVITY OF SOFT CORAL Nephthea sp. EXTRACT ISOLATED AGAINST Escherichia coli
Setyaningrum, Tri Wahyu
; Nurulfadilah
; Candri, Dining Aidil
; Dharmayani, Ni Komang Tri
; Ghazali, Mursal
; Faturrahman
This study aimed to evaluate the antibacterial potential of Nephthea sp. extract against Escherichia coli and to analyze the phytochemical constituents present in Nephthea sp. using various solvents. The extraction process was carried out using the maceration method with three different solvents: n-hexane, ethyl acetate, and methanol. The resulting extracts were analyzed through phytochemical screening and antibacterial activity assays. The results showed that Nephthea sp. extract contained seve...
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Design and Implementation of Website-Based Reading Corner System Using Extreme Programming in Kunangan Village
Prasetyo, Bagas Wahyu
; Setiawan, Dedy
; Putri, Mutia Fadhila
; Prasetyo, Bagas Wahyu
; Setiawan, Dedy
; Putri, Mutia Fadhila
Rendahnya tingkat literasi masyarakat desa masih menjadi tantangan dalam peningkatan kualitas sumber daya manusia. Desa Kunangan telah memiliki pojok baca sebagai sarana literasi nonformal, namun pengelolaannya masih dilakukan secara manual sehingga akses informasi dan pemanfaatannya belum optimal. Penelitian ini bertujuan merancang dan mengimplementasikan sistem informasi pojok baca berbasis website untuk mendukung pengelolaan literasi desa secara lebih efektif dan terpusat. Metode pengembangan...
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Immersive Commerce: Implementasi Augmented Reality untuk Meningkatkan Kepercayaan Konsumen dalam Transaksi E-Commerce
DHARMA EKONOMI
(2026)
This study aims to describe the concept of Immersive Commerce based on Augmented Reality (AR) in increasing consumer confidence in E-Commerce transactions and to design a conceptual prototype design framework for an AR E-Commerce system with a clear technical flow. The research method uses a literature study through a comprehensive review of AR-based E-Commerce implementations and needs analysis from the perspective of consumer problems and business opportunities. The main problem identified is...
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A Systematic Analysis of the Impact of Non-Academic Factors on Student Academic Performance Prediction Using Data Mining
Ningsih, Gabriella Caroline Prihayu
; Universitas Sebelas Maret
; Liantoni, Febri
; Sebelas Maret University
; Sujana, Yudianto
; Sebelas Maret University
Telematika
Vol 19
, No 1
(2026)
This study investigates the prediction of students' academic performance using machine learning models through the analysis of 27 research articles. The primary objective is to identify a minimal set of essential features that significantly influence academic outcomes, aiming to optimize model performance and reduce data complexity. A Systematic Literature Review (SLR) was conducted following the PRISMA framework, focusing on key features such as midterm grades, faculty, department, demographic...
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ENVIRONMENTAL HEALTH RISK ASSESSMENT OF GROUNDWATER NITRATE AND NITRITE EXPOSURE AMONG FARMERS IN COASTAL AREA OF REMBANG, CENTRAL JAVA, INDONESIA
Irawati, Septiria
; Putri, Cita Fitria
; LPPM Universitas Diponegoro
; Gunungsari Village Government, Kaliori Subdistrict, Rembang Regency
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Background: The increasing use of fertilizers and pesticides in agricultural areas maycontaminate groundwater with nitrate and nitrite, posing health risks. Objective: This study aimed to assess the health risk from nitrate and nitrite exposure through groundwater consumption among farmers in the coastal area of Rembang, Central Java. Methods: A crosssectional study was conducted in Gunungsari Village, Kaliori Subdistrict. Groundwater samples from seven households were analyzed using spectrophot...
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