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Menampilkan 1–10 dari 12 artikel
Comparison of the Harmony Search and Gravitational Search Algorithms on a Decision Tree for Predicting Focus Levels
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Tingkat kefokusan merupakan faktor penting dalam produktivitas yang dipengaruhi oleh berbagai variabel seperti durasi tidur, konsumsi kafein, dan kondisi lingkungan kerja. Decision Tree Regressor memiliki potensi untuk memprediksi tingkat kefokusan, namun performanya sangat bergantung pada konfigurasi hyperparameter yang optimal. Penelitian ini bertujuan untuk membandingkan efektivitas algoritma Harmony Search (HS) dan Gravitational Search Algorithm (GSA) dalam mengoptimalkan hyperparameter Deci...
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Comparison of the Harmony Search and Gravitational Search Algorithms on a Decision Tree for Predicting Focus Levels
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Tingkat kefokusan merupakan faktor penting dalam produktivitas yang dipengaruhi oleh berbagai variabel seperti durasi tidur, konsumsi kafein, dan kondisi lingkungan kerja. Decision Tree Regressor memiliki potensi untuk memprediksi tingkat kefokusan, namun performanya sangat bergantung pada konfigurasi hyperparameter yang optimal. Penelitian ini bertujuan untuk membandingkan efektivitas algoritma Harmony Search (HS) dan Gravitational Search Algorithm (GSA) dalam mengoptimalkan hyperparameter Deci...
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Tinjauan Yuridis Terhadap Tindak Pidana Penyalahgunaan Narkotika Berdasarakan Undang-Undang Nomor 35 Tahun 2009 tentang Narkotika
Jurnal Penelitian Serambi Hukum
Vol 19
, No 01
(2026)
This study aims to determine 1) the legal review of the crime of narcotics abuse based on Law Number 35 of 2009 concerning narcotics. 2) obstacles and law enforcement efforts against the crime of narcotics abuse based on Law Number 35 of 2009 concerning narcotics. This research method uses a normative legal approach with a prescriptive research type that focuses on literature studies. The data used are secondary data sourced from primary, secondary, and tertiary legal materials. The data collect...
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Boosting-Based Machine Learning Models and Hyperparameter Tuning for Predicting Vehicle Carbon Dioxide Emission
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 4
(2025)
Sustainable development and climate change are central agendas in global policy and research. This study examines and compares three ensemble learning models using Gradient Boosting Machine, Categorical Boosting, and Extreme Gradient Boosting for forecasting vehicle carbon dioxide (CO2) emissions. Data preprocessing with Interquartile Range (IQR) and median imputation is among the methods used to address missing values in CO₂ rating and smog rating variables. SHAP and PDP were employed for featu...
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Tata Kelola Potensi Pariwisata Berbasis Kearifan Lokal: Studi Kasus di Dermaga Kereng Bangkirai
Public Service And Governance Journal
Vol 6
, No 2
(2025)
Kereng Bangkirai Pier is one of the leading tourist destinations in Palangka Raya City. However, the potential of local wisdom-based tourism has not been optimally manifested, primarily due to governance issues in the management of the site. This research aims to analyze the governance of tourism potential based on local wisdom in Kereng Bangkirai pier of Palangka Raya City. This research uses a qualitative type with a case study approach. Data collection techniques through observation, intervie...
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Pengaruh Era Digital terhadap Pelestarian Bahasa Indonesia The Influence of the Digital Era on the Preservation of the Indonesian Language
Aina Mulia Rizky
; Devi Syalwa Syahfitri
; Innes Ferancia Damanik
; Peter Patiangbanua Purba
; Tiur Intan Hutauruk
; Nurul Azizah
Sinar Dunia: Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan
Vol 4
, No 1
(2025)
The digital era has a significant impact on the preservation of the Indonesian language, both in the form of challenges and opportunities. Technological developments facilitate access to information and communication, but also encourage the increased use of slang, abbreviations, and a mixture of foreign languages that can threaten the sustainability of the Indonesian language as a national identity. This study aims to analyze the impact of the digital era on the use of the Indonesian language...
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Pengaruh Penggunaan dan Implementasi Teknologi Digital terhadap Perubahan Hubungan Sosial Masyarakat 4.0
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 30
, No 2
(2024)
The Industrial Revolution 4.0 era has brought significant changes in various aspects of life, including social relations in society. Digital technologies such as social media, the internet of things (IoT), and artificial intelligence (AI) have become an integral part of human interaction. This article aims to analyze the influence of the use and implementation of digital technology on the pattern of social relations in society. This study uses a qualitative method with an in-depth literature app...
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Dampak Teknologi Digital Terhadap Evolusi Desain Arsitektur
JURNAL ILMIAH KOMPUTER GRAFIS
Vol 17
, No 1
(2024)
The development of digital technology has significantly influenced the advancement of science and various other aspects. The realm of architectural design, both in the professional and educational fields, is not exempt from the influence of digital technology. Despite the fact that some architects still utilize traditional methods, digital technology has shifted traditional methods in architectural design. This writing aims to examine the role of digital technology in the world of architectural...
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Kegiatan Pengukuran Komposisi Tubuh Dalam Rangka Deteksi Dini Obesitas Pada Populasi Lanjut Usia
Perigel: Jurnal Penyuluhan Masyarakat Indonesia
Vol 3
, No 2
(2024)
Body composition refers to the various components that make up a person's body weight, such as lean mass (muscle, water, bones, ligaments, and tendons) and fat mass. As we age, significant changes occur in body composition, including increased fat mass and decreased muscle and bone mass, which often leads to sarcopenic obesity. This condition, which is common in older adults, is associated with frailty, disability, metabolic syndrome, reduced survival rates in certain cancers, and osteopenia/ost...
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Integrating Structural Causal Model Ontologies with LIME for Fair Machine Learning Explanations in Educational Admissions
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
This study employed knowledge discovery in databases (KDD) to extract and discover knowledge from the Benue State Polytechnic (Benpoly) admission database and used a structural causal model (SCM) ontological framework to represent the admission process in the Nigerian polytechnic education system. The SCM ontology identified important causal relations in features needed to model the admission process and was validated using the conditional independence test (CIT) criteria. The SCM ontology was f...
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