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Menampilkan 1–10 dari 528 artikel
Integrating cognitive, narrative, and taluba into ALIVE counseling model for passive suicidal ideation: An NIH stage 1A study
Passive suicidal ideation among university students is increasingly assoc1Ated with depression, hopelessness, loneliness, and elevated suicide risk. However, most suicide prevention interventions remain focused on active suicidality, while culturally responsive interventions specifically targeting passive suicidal ideation remain limited. This study aimed to develop and validate the ALIVE Counseling Model, integrating cognitive-behavioral counseling, narrative counseling, and Taluba local wisdom...
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The influence of self-concept conflict and parental influence on emotional and personality-related career decision-making difficulties in special sports class students
This study aims to explore how self-concept conflict and parental influence impact the emergence of emotional and personality barriers in the career decision-making process, specifically among KKO students at SMA Negeri 1 Pengasih. This study employed a quantitative correlational method, involving 108 students as a sample using a saturated sampling technique. Validity was assessed through expert judgment, while reliability was calculated using Cronbach's Alpha. Data were statistically processed...
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Deteksi Aktivitas Vape Berbasis Yolov8 pada Citra dan Video dengan Pendekatan Deep Learning
Lahuddin, Lahuddin
; Larasati, Pamela
; Hasbi, Abdilah
; Lahuddin, Lahuddin
; Larasati, Pamela
; Hasbi, Abdilah
Perkembangan teknologi artificial intelligence, khususnya dalam bidang computer vision dan deep learning, telah mendorong lahirnya berbagai sistem otomatis dalam analisis citra dan video. Salah satu implementasi yang banyak digunakan adalah deteksi objek secara real-time menggunakan algoritma YOLO (You Only Look Once). Di sisi lain, penggunaan rokok elektronik atau vape semakin meningkat, terutama di lingkungan pendidikan, sehingga diperlukan sistem pengawasan otomatis yang mampu mendeteksi akti...
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Design and Development of an Android-Based Basic Mathematics Learning Information System for Elementary School Students
Hidayah , Wandini Nurul
; Abdul Haq, M Taufiq
; Marsehan, Ahmad
; Hidayah , Wandini Nurul
; Abdul Haq, M Taufiq
; Marsehan, Ahmad
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 3
, No 1
(2026)
Penelitian ini bertujuan mengembangkan aplikasi simulasi matematika dasar berbasis Android sebagai media pembelajaran interaktif bagi siswa sekolah dasar. Penelitian dilatarbelakangi oleh rendahnya keterlibatan siswa dan kesulitan siswa dalam memahami konsep aritmatika dasar melalui metode pembelajaran konvensional. Aplikasi dirancang dengan mengintegrasikan modul latihan, permainan edukatif dengan tingkat kesulitan bertahap, serta sistem penghargaan berbasis pencapaian untuk meningkatkan motiva...
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Implementasi Framework Laravel untuk Pemrosesan Nilai Akademik Berbasis Web Menggunakan Metode Agile
Lestari , Alishya Silva
; Al Amin, Muhammad Abdul Aziz
; Septiani, Alda
; Ferliansyah, Rayhan
; Marsehan, Ahmad
; Lestari , Alishya Silva
; Al Amin, Muhammad Abdul Aziz
; Septiani, Alda
; Ferliansyah, Rayhan
; Marsehan, Ahmad
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 3
, No 1
(2026)
Pengolahan nilai akademik di sekolah dasar masih banyak dilakukan secara manual menggunakan buku nilai atau aplikasi sederhana seperti spreadsheet, sehingga menimbulkan ketidakefisienan, duplikasi data, dan tingginya risiko kesalahan pencatatan. Penelitian ini bertujuan untuk mengembangkan sistem pengolahan nilai akademik berbasis web dengan mengimplementasikan framework Laravel dan metode Agile. Penelitian ini menggunakan pendekatan mixed method, yaitu pengumpulan data kualitatif melalui observ...
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Evaluating the Results According to Simulations to Improve Power Control and Enhance Optical Communication Performance
In this paper, an experimental study has been conducted to detail power-control optimization in wavelength-division multiplexed (WDM) optical communication systems by use of Erbium-Doped Fiber Amplifiers (EDFAs). Our study shows that adaptive power control can greatly improve the performance of the system with a superb 35.7% improvement of the maximum power capacity relative to traditional constant power schemes. Throughout its study, the paper uses elaborate simulations to determine the bit-err...
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Microwave-Pyrolysed Rice Husk-Derived Activated Carbon as a Sustainable Anode Material for Lithium-Ion Half-Cell Batteries
Surib , Nur Atiqah
; Mohd Abdah, Muhammad Amirul Aizat
; Farhana Syakirah Ismail
; Wong, Weng Pin
; Ab Latif, Farah Ezzah
; Mustafa, Muhammad Norhaffis
; Rashmi Walvekar
; Mohammad Khalid
Agricultural waste biomass is explored as a sustainable precursor for activated carbon. In this study, rice husk-derived activated carbon (RHAC) was synthesized via microwave-assisted pyrolysis and KOH activation at 600, 700, and 800 °C. The KOH activation enhanced the thermal stability of the samples, with RHAC_700 exhibiting a spongy, interconnected structure and a surface area of 390.33 m² g⁻¹. When evaluated as a half-cell anode materials for lithium-ion batteries, RHAC_700 delivered an init...
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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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Attention-Augmented GRU for Stock Forecasting: A Trade-Off Between Directional Accuracy and Price Prediction Error
R. Daniel Hartanto
; Guruh Fajar Shidik
; Farrikh Alzami
; Ahmad Zainul Fanani
; Aris Marjuni
; Abdul Syukur
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
Attention mechanisms have been widely incorporated into recurrent neural network architectures for financial time series forecasting, with most prior work reporting improvements in price-level error metrics. This study revisits that claim through a controlled empirical comparison of four deep learning architectures on nearly two decades of Telkom Indonesia (TLKM) closing price data from the Indonesia Stock Exchange (IDX). The models evaluated are a three-layer Gated Recurrent Unit (GRU) baseline...
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