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Menampilkan 1–10 dari 72 artikel
Logical Function in Selected English Nursery Tales: Systemic Functional Perspective
Populer: Jurnal Penelitian Mahasiswa
Vol 5
, No 1
(2026)
This study investigated the logical function of clause complexes in two selected English nursery tales, Jack the Giant Killer and Jack and the Beanstalk, using Halliday’s Systemic Functional Linguistics (SFL) framework. The research focuses on the realization of clause interpendency through the taxis system (parataxis, hypotaxis, and taxis combination) and logico-semantic relations (elaboration, extension, enhancement, idea and locution). The method employed is qualitative content analysis based...
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Uji Efektifitas Fraksi Daun Setebal (Glochidion superbum) terhadap Penyembuhan Luka Sayat pada Mencit Putih Jantan (Mus musculus L.)
Rivelino William Putra Nazara
; Habibie Deswilyaz Ghiffari
; Ghalib Syukrillah Syahputra
; Desy Gusmali Maniarti
; Roza Erda
Jurnal Inovasi Riset Ilmu Kesehatan
Vol 4
, No 1
(2026)
Wounds can be defined as the loss and damage of anatomical cells or skin function. Wound healing consists of coagulation, inflammation, proliferation, and remodeling stages. This study aims to determine the effectiveness of the leaf fraction of the thick (Glochidion superbum) on wound healing in male white mice (Mus musculus). This study is experimental. This study used 24 male mice that were given a 10 mm long cut wound. Fractionation was carried out using the liquid-liquid extraction method. F...
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Optimasi XGBoost Dengan SHAP Untuk Sistem Skrining Penyakit Jantung
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
Heart disease is the leading cause of death in Indonesia and globally, necessitating an early screening system that is both accurate and clinically trustworthy. Although XGBoost demonstrates high predictive performance, its black-box nature undermines clinical trust, while low recall risks missed diagnosis an unacceptable consequence in population screening, especially in middle-income countries with limited healthcare resources. This study aims to develop a sensitive, transparent, and implement...
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Sistem Pendukung Keputusan Eligible Seleksi Nasional Berdasarkan Prestasi (SNBP) Menggunakan Metode Additive Ratio Assessment (ARAS): Studi Kasus: SMAN 8 Surabaya
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
The selection process for students eligible for the National Selection Based on Achievement (SNBP) requires objective and structured assessment because it involves various academic and non-academic criteria. This study aims to develop a Decision Support System (DSS) to determine the ranking of SNBP eligible students at SMAN 8 Surabaya using the Additive Ratio Assessment (ARAS) method. The ARAS method is used to evaluate student alternatives based on their report card scores for semesters 1-5, ac...
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Strategi Penulisan Ekspositoris dengan Pendekatan Reflektif dalam Produksi Film Dokumenter “2000 Untuk Parkir : Fenomena Juru Parkir Liar di Jatinangor”
Realisasi : Ilmu Pendidikan, Seni Rupa dan Desain
Vol 3
, No 1
(2026)
This study examines the strategy of writing an expository narrative using a reflective approach in the production of the documentary film "2000 Untuk Parkir: Fenomena Juru Parkir Liar di Jatinangor" Using descriptive qualitative methods through participant observation, in-depth interviews, and data triangulation, this 15-minute film presents a three-act plot that integrates empirical facts (such as a daily income of Rp50,000 from a Rp2,000 per vehicle rate) with the filmmaker's critical r...
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Perbandingan Waktu Pemecahan Password Menggunakan Algoritma Hash MD5, SHA-256, dan SHA-512 pada Serangan Brute Force
Nur Bainatun Nisa
; Noni Fauzia Rahmadani
; Aulia Kartika Dewi
; Luftia Rahma Nasution
; Dzilhulaifa Siregara
; Rifdah Syahputri
; Ibnu Rusydi
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Vol 4
, No 1
(2026)
Password security is a critical component in protecting information systems, as passwords are often the primary target of various attacks, particularly brute force attacks. A brute force attack works by systematically attempting all possible character combinations until the correct password corresponding to a stored hash value is found. Therefore, the choice of an appropriate hash algorithm plays a significant role in determining a system’s resistance to such attacks. This study aims to analyze...
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Penerapan Jaringan Saraf Buatan untuk Pengenalan Pola Tanda Tangan dalam Identifikasi Potensial Diri Menggunakan Metode Backpropagation
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Vol 4
, No 1
(2026)
This study develops a computational-based system to identify individual potential through the analysis of signature patterns using Artificial Neural Networks (ANN) and the Backpropagation algorithm. The research aims to explore and examine the effectiveness of applying ANN in recognizing and identifying signature patterns that are assumed to be related to an individual’s potential. In the data processing stage, Principal Component Analysis (PCA) is employed as a dimensionality reduction and feat...
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Design and Implementation of a Deep Reinforcement Learning Framework for Autonomous Navigation in Dynamic Unstructured Robotic Environments with Real Time Obstacle Avoidance
Intelligent Systems and Robotics
Vol 1
, No 1
(2026)
Autonomous robot navigation in dynamic and unstructured environments remains a critical challenge due to unpredictable obstacles, sensor uncertainty, and limited adaptability of traditional planning algorithms. Although conventional navigation methods such as graph-based, potential field–based, and sampling-based approaches have been widely adopted, their performance under real-time dynamic conditions is still constrained. This study aims to design and implement a comprehensive experimenta...
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Analisis Pola Asosiasi Kompetensi Teknis pada Lowongan Kerja Artificial Intelligence Menggunakan Algoritma Apriori dan Visualisasi Network Graph
Modem : Jurnal Informatika dan Sains Teknologi
Vol 4
, No 1
(2026)
The gap between academic curriculum content and modern industrial needs is often an obstacle for fresh graduates in the Information Technology field, particularly in the rapidly evolving Artificial Intelligence (AI) sector. This study aims to identify the relationship patterns among technical competencies (hard skills) most demanded by the global industry. The method employed is Association Rule Mining with the Apriori algorithm to discover association rules between skills, and Network Graph Ana...
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Implementasi Algoritma Jaringan Syaraf Tiruan Backpropagation untuk Prediksi Penyakit Diabetes
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Vol 3
, No 6
(2025)
Diabetes Mellitus is a chronic disease that requires early detection to prevent serious complications. This study aims to implement the Artificial Neural Network (ANN) algorithm with the Backpropagation method to predict the risk of diabetes. The dataset used is the Pima Indians Diabetes Dataset, consisting of 768 medical records with 8 feature attributes. This study employs the Multi-Layer Perceptron method with an architecture of 8 input neurons, two hidden layers, and 1 output neuron. Model e...
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