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Menampilkan 161–170 dari 851 artikel
Use of Fly Ash in Non-Fine Concrete in Extreme Environments
Media Komunikasi Dunia Ilmu Sipil
Vol 7
, No 1
(2025)
No-Fines Concrete is a lighter type of porous concrete, which is made by removing sand from conventional concrete mixes. Fly Ash is a by-product waste from Steam Power Plants (PLTU) which use coal as fuel, in the form of fine, light, round particles and has pozzolanic properties. This research aims to evaluate the effect of using fly ash in No-Fines concrete in extreme environments, especially in peat swamp environments. The use of No-Fines concrete as a construction material is expected to redu...
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Implementation of the K-Nearest Neighbor (KNN) Algorithm in Handwritten Digit Pattern Recognition Using the Zoning Method
asmaraloka, afilda maharani
; Asmaraloka, Afilda Maharani
; Nisa, Kharisatun
; Hermansyah, Muhammad Ardi
; Saputra, Fikri Hamdhan Dwi
; Setiawan, Arif
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2025)
Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through seve...
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Hate Speech Detection Using Expansion Feature Glove with CNN and Bi-LSTM on Twitter
Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 7
, No 1
(2025)
Twitter is one of the biggest social media digital platforms in Indonesia. It serves a medium for readers worldwide and also can be used a means of disseminating information for everyone. However, some people in social media misuse it to spread hate speech against some certain group or communities. Because hate speech it happens everywhere, we need a system to detect hate speech. Sometimes to detect hate speech in Twitter in can be very difficult because lack of context. Needing feature for this...
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Penerapan Algoritma Klasifikasi untuk Deteksi Dini Penyakit Jantung Koroner Berdasarkan Gejala Klinis
Teknik: Jurnal Ilmu Teknik dan Informatika
Vol 5
, No 1
(2025)
Coronary heart disease (CHD) remains a leading cause of mortality worldwide. Early detection is essential to reduce complications and improve patient outcomes. This study aims to develop a classification model using machine learning algorithms to predict CHD risk based on clinical symptoms. The dataset used is the Cleveland Heart Disease dataset from the UCI Machine Learning Repository, consisting of 303 patient records with 14 clinical features. The preprocessing stage involved handling missing...
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KNN-Based Handwritten Digit Classification with Accuracy Analysis and Visualization
Maulana, Muhammad Rizky
; Maulana, Muhammad Rizky
; Nugroho, Adiv Prasetyo
; Adinata, Ferdyan Candra
; Haidar, Nova Briyan
; Setiawan, Arif
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2025)
The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten dig...
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1 Sitasi
Peran Komunikasi Organisasi Dalam Meningkatkan Produktivitas Industri Alkohol Di Bekonang Sukoharjo : Studi Kasus Komunikasi Organisasi Kian Rejo
Media and Empowerment Communication Journal
Vol 4
, No 1
(2025)
Penelitian ini bertujuan untuk mendeskripsikan dan mengkaji peran komunikasi organisasi yang dapat meningkatkan efisiensi kerja di sektor alkohol di Bekonang, Sukoharjo. Industri alkohol di wilayah ini tidak hanya menjadi bagian dari identitas budaya lokal, tetapi juga memberikan kontribusi signifikan terhadap perekonomian masyarakat. Dalam menghadapi tantangan efisiensi produksi dan persaingan pasar, komunikasi organisasi menjadi elemen penting yang memengaruhi koordinasi kerja dan efektivitas...
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Integrating Hybrid Statistical and Unsupervised LSTM-Guided Feature Extraction for Breast Cancer Detection
Setiadi, De Rosal Ignatius Moses
; Ojugo, Arnold Adimabua
; Pribadi, Octara
; Kartikadarma , Etika
; Setyoko, Bimo Haryo
; Widiono, Suyud
; Robet, Robet
; Aghaunor, Tabitha Chukwudi
; Ugbotu, Eferhire Valentine
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Breast cancer is the most prevalent cancer among women worldwide, requiring early and accurate diagnosis to reduce mortality. This study proposes a hybrid classification pipeline that integrates Hybrid Statistical Feature Selection (HSFS) with unsupervised LSTM-guided feature extraction for breast cancer detection using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Initially, 20 features were selected using HSFS based on Mutual Information, Chi-square, and Pearson Correlation. To addres...
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3 Sitasi
Analisis Peran Akumulasi Modal dalam Pertumbuhan Ekonomi: Faktor-Faktor Pendorong Pertumbuhan Ekonomi di Indonesia
Herlina Reva Carita
; Haura Khalisa Hakim
; Raden Naufal Hilmi Saputra
; Ni Komang Mia Fabiola
; Izzan Shulhan Albar
; Vanessa Azahra Rohman
; Ahmad Setiawan Nuraya
DHARMA EKONOMI
Vol 32
, No 1
(2025)
Economic growth is a complex process influenced by various factors, one of which is capital accumulation. Capital accumulation plays a crucial role in increasing production capacity, creating employment opportunities, and enhancing labor productivity. This study analyzes the role of capital accumulation in Indonesia’s economic growth by highlighting key factors contributing to national output expansion. Using the growth accounting approach and neoclassical growth theory, this research confirms t...
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Analisis Teknologi terhadap Perekonomian Nasional: Studi Kasus Kontribusi GoTo terhadap Pendapatan Indonesia
Abiyyu Rahmatullah
; Agus Rizki Pandapotan Siagian
; Ahmad Devani Yuslah
; Alfia Damar Yanti
; Annisa, Fesya Diva
; Ahmad Setiawan Nuraya
DHARMA EKONOMI
Vol 32
, No 1
(2025)
The research analyzes the impact of technology on Indonesia's national economy, focusing on GoTo's contribution as a leading technology company. GoTo, born from the merger of Gojek and Tokopedia, has created an innovative business model that connects consumers and businesses through an efficient digital platform. Secondary data analysis from LPEM FEB UI (2023), Aji (2023), Jerry (2023) SMERU Research Institute (2022), and other relevant sources, shows that GoTo makes a significant contribution t...
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Peran Sumber Daya Manusia, Pendidikan, dan Kebijakan Pemerintah dalam Meningkatkan Pertumbuhan Ekonomi Indonesia
Devi Prameswati
; Fikria Hanifa Nabiha
; Flira Tri Octaviani
; Puri, Gista Alfania
; Kayla Aryani Putri Nugroho
; Ahmad Setiawan Nuraya
DHARMA EKONOMI
Vol 32
, No 1
(2025)
The study was conducted to analyze the relationship between the quality of human resources (HR) and economic growth in Indonesia which aims to determine the role of Human Resources, Education, and Government Policy in Indonesia's economic growth. By using descriptive qualitative research methods, data were collected through literature studies by collecting journals and articles spread across the Internet. The results of the study obtained were that 1) The Role of Human Resources in Economic Grow...
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