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INTEGRASI MEDIA INTERAKTIF DALAM DESAIN DIDAKTIS PERSAMAAN LINEAR SATU VARIABEL (PLSV) UNTUK MENINGKATKAN KEMAMPUAN KOMUNIKASI MATEMATIS SISWA
JIPMat (Jurnal Ilmiah Pendidikan Matematika)
Vol 10
, No 1
(2025)
Penelitian ini bertujuan untuk mengetahui pengaruh media interaktif dalam desain didaktis Persamaan Linear Satu Variabel terhadap kemampuan komunikasi matematis siswa. Populasi penelitian ini adalah seluruh siswa kelas VII SMP Negeri 8 Bandar Lampung semester ganjil tahun ajaran 2024/2025 yang terdistribusi dalam tujuh kelas. Sampel dalam penelitian ini adalah seluruh kelas VII-D sebanyak 29 siswa sebagai kelas eksperimen dan VII-C sebanyak 29 siswa sebagai kelas kontrol yang dipilih melalui tek...
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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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Pelatihan Pemanfaatan Limbah Minyak Jelantah Menjadi Lilin Aromaterapi Untuk Ibu-Ibu di Kelurahan Demakijo Kabupaten Klaten
Mina, Mina Putri
; Yulianti, Refica
; Megantara, Indah
; Kristiana, Pinkan Nur
; Setyawati, Elly
; Kurniawan, Jadid Bisma
; Shakti, Tivo Suta
; Puspaningrum, Puspaningrum
The Community
Vol 2
, No 1
(2025)
Used cooking oil waste is one of the environmental issues that can have adverse effects on health and ecosystems. This study aims to explore the use of used cooking oil as the main ingredient in the production of aromatherapy candles as an environmentally friendly alternative with economic value. Community service activities were conducted in Demakijo Village, Karangnongko Subdistrict, Klaten Regency, involving mothers from the PKK, Posyandu cadres, and members of the Women Farmers Group (KWT)....
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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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1 Sitasi
Effectiveness of Kinesiotaping in Reducing Low Back Pain among Elderly Individuals
Gaster
Vol 23
, No 2
(2025)
Background Low Back Pain (LBP) is a musculoskeletal disorder characterized by discomfort in the lower back region, sometimes accompanied by radiating pain to the lower extremities. LBP is common in individuals aged over 35 years due to degenerative changes such as tissue damage and decreased intervertebral fluid, which reduce spinal and muscular stability. In elderly populations (>60 years), reduced muscle strength exacerbates LBP symptoms, significantly impairing daily function. Kinesiotapin...
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Quality of Life Among Diabetic Patients Using Transtibial Prostheses: A Descriptive Study
Gaster
Vol 23
, No 2
(2025)
Background Diabetes mellitus (DM) is a chronic condition that increases the risk of foot infections, which may lead to gangrene and, in severe cases, lower limb amputation. Transtibial amputation is among the most common procedures, accounting for approximately 85–90% of all limb amputations. The use of a prosthesis is expected to enhance the quality of life (QoL) of post-amputation patients, yet outcomes may vary based on individual factors and causes of amputation. Objective This study aimed t...
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The Midwives’ Roles in Community-Based Stunting Prevention: A Qualitative Study in Primary Health Services
Gaster
Vol 23
, No 2
(2025)
Background Stunting remains a major public health concern in many low- and middle-income countries, with long-term consequences for cognitive development, educational achievement, and economic productivity. Midwives, particularly in decentralized health systems like posyandu in Indonesia, play a vital role in early prevention efforts. However, limited research has explored their contextualized contributions within community-based health services. Objective This study aimed to explore the strateg...
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Hybrid Approaches for Advanced Medical Text Summarization: Combining TF-IDF, BERT, and Seq2Seq Models
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Clinicians, researchers, and healthcare professionals are confronted with the challenge of efficiently extracting relevant knowledge from vast amounts of textual data. Medical text summarization emerges as a crucial tool to address this challenge by condensing lengthy medical documents into concise, informative summaries. A comprehensive hybrid approach is proposed to address the challenges in medical text summarization by combining both extractive and abstractive methods, by integrating Term Fr...
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1 Sitasi
Evaluating Sustainable Waste Collection Models Using the Analytical Hierarchy Process (AHP): A Multi-Criteria Decision-Making Approach
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
The growing issue of disposable baby diaper waste requires an effective collection model to support sustainable waste management. This study designs a community-based collection model using the Analytical Hierarchy Process (AHP) method to identify the most effective approach. Three models are evaluated: Model 1 (Community-Based Diaper Bank), Model 2 (Scheduled Diaper Pick-Up Program), and Model 3 (Diaper Collection Points at Public Facilities). Results show Model 1 is the most effective, with th...
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Enhanced Air Quality Prediction Using AI: A Comparative Study of GRU, CNN, and XGBoost Models
Kayam Saikumar
; Munugapati Bhavana
; Rayudu Prasanthi
; Singaraju Suguna Mallika
; Deepthi Kamidi
; Naveen Malik
; Kapil Joshi
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Weather monitoring is vital due to environmental changes and rising air pollution, which affects health and lifestyles. Accurate air quality prediction models are essential yet challenging due to complex weather-pollution interactions. This study employs explainable deep learning and machine learning techniques—GRU, CNN, and XGBoost—on a custom dataset of 100,000 samples with 15 features, including PM2.5, PM10, humidity, and temperature. Using SHAP for interpretability, the GRU model outperforms...
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