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Menampilkan 1–10 dari 926 artikel
The Impact of Screen Time Duration and Eye Rest Habits on Students of Muhammadiyah 4 High School, Depok City in 2024
Jurnal Kesehatan
Vol 19
, No 1
(2026)
Pendahuluan: Kelelahan mata umum terjadi di kalangan siswa karena penggunaan perangkat elektronik seperti smartphone yang berkepanjangan. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang berkontribusi terhadap keluhan kelelahan mata di SMA Muhammadiyah 4 Kota Depok, dengan fokus pada hubungan antara faktor individu, perangkat digital, dan lingkungan. Metode: Dalam penelitian ini, variabel dependen adalah kelelahan mata dan variabel independen adalah postur tubuh saat menggunaka...
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Maternal and Child Characteristics, Stimulation Practices, and Their Association with Stunting: A Cross-Sectional Study
Wijayanti, Anisa Catur
; Isnaeani, Farida Nur
; Wulandari, Windi
; Werdani, Kusuma Estu
; Puspita, Widya Galih
; Pratiwi, Septiani Cipta
; Sahda, Renaya Amelia
Jurnal Kesehatan
Vol 19
, No 1
(2026)
Pendahuluan: Stunting adalah bentuk malnutrisi kronis pada masa kanak-kanak yang mengganggu pertumbuhan fisik, perkembangan kognitif dan motorik, serta produktivitas jangka panjang. Puskesmas Trucuk II di Kabupaten Klaten memiliki prevalensi stunting tertinggi di kabupaten tersebut (22,7%). Penelitian ini mengkaji perbedaan usia anak, usia ibu, stimulasi, dan perkembangan anak dalam kaitannya dengan kejadian stunting. Metode: Penelitian potong lintang dilakukan di wilayah kerja Puskesmas Trucuk...
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Beyond self-control: self-compassion as a mediator in the dynamics of self-control, self-esteem, and emotional regulation among adolescents
This study reveals the psychological mechanisms underlying emotional regulation in adolescents, emphasizing the role of self-compassion as a mediator between self-control and self-esteem. Using a quantitative approach with PLS-SEM analysis on 800 adolescents in Padang, the results indicate that all hypotheses were supported. Self-control, self-esteem, and self-compassion significantly influence emotional regulation, both directly and indirectly. Specifically, self-compassion was found to be a ke...
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Spatial Vulnerability Index Modeling for Climate Change Risk Assessment in Indonesia
This study develops a Fuzzy Logic-based Intelligent Decision Support Model (IDSM) to map climate change vulnerability across 34 Indonesian provinces, using 20 variables grouped into four parameters: greenhouse gases, geological factors, anthropological factors, and weather conditions. Data from 2015–2020 were sourced from the Global Atmosphere Watch, LAPAN, BASINS-CAT, BPS, and the DigComp 2.0 framework at the provincial level. The methodology involved data normalization, trend analysis via line...
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Pengelolaan Data Kinerja Individu Karyawan dan Pengembangan Backend Web Application IHSAN Pos Untuk Tenaga Kerja Profesional Di PT Pos Indonesia
Parhusip, Jose Elio
; Ginasta, Nava Gia
; Hanum, Rahma
; Parhusip, Jose Elio
; Ginasta, Nava Gia
; Hanum, Rahma
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 3
, No 1
(2026)
Penelitian ini bertujuan: (1) mengembangkan sistem input nilai kinerja karyawan agar lebih akurat dan efisien; (2) merancang Entity Relationship Diagram (ERD) dan struktur basis data untuk mendukung pengolahan data karyawan; serta (3) membangun backend sistem dengan autentikasi dan otorisasi berbasis peran. Ruang lingkup mencakup pengelolaan data kinerja individu yang sebelumnya dilakukan secara manual menggunakan spreadsheet dan rentan terhadap kesalahan input. Metode yang digunakan meliputi pe...
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A Hybrid AI–SEMPLS Model for Digital Visualization Acceptance in Blue Tourism: Evidence from Lampung Province
Blue tourism destinations often lack advanced digital tools capable of providing real-time, AI-driven visualization and user-centered information services. This study addresses this gap by developing JELAMBU, an AI-enabled digital visualization platform, and by evaluating user acceptance through a hybrid SEMPLS models. The research aims to: (i) design and implement an AI-based system that combines chatbot interaction, realtime sentiment analytics, and digital visualization; and (ii) examine the...
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A Nonlinear mathematical model of student motivation dynamics with an empirical calibration framework and simulation analysis
Radhiatul Husna
; Angelina Zaskya Hulda
; Indah Rahmadani
; Miftahul Jannah
; Muhammad Zikra
; Najla Nafisa Arsy
; Nanda Putra Kartama
Student learning motivation is a dynamic construct that changes over time in response to support, academic pressure, and fatigue. However, many existing studies examine motivation only at a single point in time or rely on descriptive approaches, limiting their ability to quantify how motivation evolves. This study develops a nonlinear mathematical model of student motivation dynamics and links the model to an empirical calibration framework. The proposed model represents motivation as a bounded...
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Supply Chain Performance Evaluation in the Pulley Manufacturing Industry Using Supply Chain Operations Reference and Analytical Hierarchy Process
Supply chain performance is critical to the efficiency of make-to-order manufacturing systems, where waste such as waiting, rework, unnecessary motion, overprocessing, and transportation still occurs at several workstations. These inefficiencies prolong production time and reduce overall effectiveness. This study aims to measure supply chain performance, determine the relative importance of performance metrics, and establish improvement priorities. The research integrates the Supply Chain Operat...
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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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Analysis of Hygiene and Sanitation Implementation in the Pastry Division at Aruss Hotel Semarang
The hospitality industry is a strategic sector within the global tourism system that heavily depends on service quality and food safety assurance. In hotel operations, the pastry division represents a high-risk unit due to the use of perishable ingredients and intensive manual handling processes. This study aims to analyze the implementation of hygiene and sanitation practices in the Pastry Division of Hotel Aruss Semarang in supporting food safety standards within the hospitality industry. This...
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