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Mechanical Performance of Epoxy Composite Reinforced with Wood Dust and Crumb Rubber Waste
Imran, Al Ichlas
; Siregar, Januar Parlaungan
; Cionita, Tezara
; Fitriyana, Deni Fajar
; Anis, Samsudin
; Dewi, Rozanna
; Junaedi, Thomas
; Wijayanto, Etanto Heiliano
; Prayogo, Wisnu
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 4
(2025)
The incorporation of wood dust and crumb rubber waste as filler in polymer matrix composite still requires in-depth evaluation of mechanical properties because they have different characteristics. This study evaluates the tensile, flexural, and hardness properties of epoxy composites reinforced with various fractions of wood dust and crumb rubber (5, 10, and 15%). The results showed that the composite with 5% crumb rubber produced the highest tensile strength of 15.52 MPa (CR5), while the highes...
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PENGEMBANGAN PERANGKAT PEMBELAJARAN MATEMATIKA DENGAN MODEL PROBLEM BASED LEARNING BERBANTUAN GEOGEBRA UNTUK MENINGKATKAN PEMAHAMAN KONSEP MATEMATIS SISWA
JIPMat (Jurnal Ilmiah Pendidikan Matematika)
Vol 10
, No 1
(2025)
Penelitian ini memiliki tujuan untuk mengembangkan perangkat pembelajaran matematika menggunakan model PBL berbantuan Geogebra, dengan fokus untuk meningkatkan pemahaman konsep matematis siswa pada materi program linear, yang memenuhi kriteria valid, praktis, dan efektif. Model pengembangan yang digunakan adalah ADDIE. Teknik pengumpulan data melibatkan tes, validasi, dan angket respon. Instrumen yang digunakan untuk pengumpulan data adalah lembar validasi, angket respon guru, angket respon sisw...
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EFEKTIVITAS MODEL PROBLEM BASED LEARNING BERBANTUAN MEDIA INTERAKTIF PADA CAPAIAN ASESMEN KOMPETENSI MINIMUM NUMERASI SISWA
JIPMat (Jurnal Ilmiah Pendidikan Matematika)
Vol 10
, No 1
(2025)
Kompetensi numerasi siswa di Indonesia masih rendah, sebagaimana ditunjukkan oleh survei OECD 2021 yang mencatat 71% siswa belum mencapai standar minimum matematika. Studi ini bertujuan untuk mengeksplorasi efektivitas Model Problem Based Learning (PBL) dengan bantuan media interaktif pada capaian asesmen kompetensi minimum numerasi siswa di SD Negeri Purwokerto 01. Metode yang diterapkan adalah metode kuantitatif dengan desain pre-eksperimental One Group Pretest-Posttest Design. Subjek peneliti...
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Utilization of Real Media with Individual Learning Programs in the Aspects of Social Skills for Early Childhood Children with ASD
Paudia
Vol 14
, No 3
(2025)
Abstract
Social skills are crucial for early childhood development, especially for children with ASD. Success in improving social skills in children with special needs depends heavily on the learning system implemented. Based on observations, Fun & Play Inclusive Kindergarten Semarang implements an individual learning program utilizing realia media to develop the social skills of children with special needs. This study aims to determine how the use of realia media in an individual learning p...
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Effectiveness SPEOS Method (Endorphin, Oxytocin, and Suggestive Massage Stimulation) on Breast Milk Production in Postpartum Mothers: A Systematic Literature Review
Gaster
Vol 23
, No 2
(2025)
Background The postpartum period is a critical phase of physiological and psychological recovery, beginning with the expulsion of the placenta and typically lasting up to six weeks. Breast milk (human milk) is recognized as the most essential source of nutrition for newborns, particularly in the first month of life. Various interventions have been explored to enhance lactation, one is the SPEOS method—a non-pharmacological approach combining endorphin stimulation, oxytocin release, and suggestiv...
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Toward a Modular, Low-Latency Architecture with BERT-based Big Media Data Analysis
Widyawan, Widyawan
; Universitas Gadjah Mada
; Murti, Handoko Wisnu
; Semesta Data Digital
; Putra, Guntur Dharma
; Universitas Gadjah Mada
; Nurmanto, Eddy
; Semesta Data Digital
; Affandi, Achmad
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 18
, No 2
(2025)
The significant growth of digital and social media platforms has introduced massive streams of unstructured media data. However, current big data approaches are not specifically tailored to the high volume and velocity of media data, which consists of unstructured and lengthy full-text messages. This study proposes a modular and stream-oriented big data architecture for media data. The proposed architecture consists of data crawlers, a message broker, machine learning modules, persistent storage...
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Computational Assessment of Orthopedic Implant Durability Using Finite Element Analysis
Haryanto, Ismoyo
; Bagastomo, Riondityo Soni
; Ismail, Rifky
; Siregar, Januar Parlaungan
; Cionita, Tezara
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Finite Element Analysis (FEA) provides a rapid and cost-effective method to evaluate orthopedic implants. This research investigates the mechanical performance and long-term durability of a seven-hole SS 316L Basic Fragment Set (BFS) reconstruction plate designed for pelvic fractures. Adhering to ASTM standards, material properties were defined via tensile testing (ASTM E8), while static and fatigue analyses were performed using a displacement control method in a four-point bending test setup in...
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Mechanical Performance of Alkali-Treated Rattan Strips with Epoxy Coating for Sustainable Composite Applications
Kalatharan, Sujentheran Nair
; Imran, Al Ichlas
; Irawan, Agustinus Purna
; Siregar, Januar Parlaungan
; Cionita, Tezara
; Fitriyana, Deni Fajar
; Anis, Samsudin
; Dewi, Rozanna
; Setyoadi, Yuris
; Wisnu Prayogo
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The use of natural materials like rattan in eco-friendly composites is gaining attention in materials engineering. However, its hydrophilic nature and interaction with other materials can affect mechanical strength. This study investigates how variations in rattan size and alkali treatment influence the tensile properties of single rattan strips through an epoxy dipping process. Rattan was prepared with varying lengths (5–15 cm), widths (3–8 mm), and a consistent thickness (0.5 mm). Alkali treat...
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Multi-Horizon Short-Term Residential Load Forecasting Using Decomposition-Based Linear Neural Network
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Short-Term Load Forecasting is crucial for grid stability and real-time energy management, particularly in residential settings where consumption is highly volatile and influenced by behavioral and external factors. Traditional models struggle to capture complex, non-linear patterns. This study proposes a forecasting framework based on the DLinear model, which decomposes time series data into trend and seasonal components using a simple linear neural network architecture. Designed for multi-hori...
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Hubungan Transformasi Digital SDM dengan Resiliensi Organisasi Melalui Moderasi Kepemimpinan Digital dan Budaya Inovasi
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 4
, No 3
(2025)
This study examined the relationship between digital transformation factors (innovation culture, digital leadership, and digital transformation of human resources) and organizational resilience in Indonesian higher education institutions. The research method employed Structural Equation Modeling (SEM) with a Partial Least Squares (PLS) approach using SmartPLS 4, involving validation of the measurement and structural models through bootstrapping procedures. The findings indicated that all seven h...
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