Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 1–10 dari 88 artikel
Evaluating Disruption Risk to Foster Resilience in Humanitarian Supply Chain: An Integrated SV-PSI and EDAS Model
Sutrisno, Agung
; Spreafico, Christian
; Putro, Muhammad Dwisnanto
; Yusupa, Ade
; Tjolleng, Amir
; Lokaputra, Kenji
The evaluation of the risks in humanitarian supply chain operations is crucial to prevent losses due to disasters. However, many quantitative studies in the literature are aimed at the profit-oriented supply chain, while those in the field are based on the subjective preferences of decision-makers, making risk prioritization less accurate. To fill this gap, this study presents a theoretically improved approach for this purpose by integrating statistical variance, preference selection index (PSI)...
Google Scholar
DOI
A Decision Support System Based on Transformer-Driven Sentiment Analysis of Social Media Data
The growing availability of social media data offers new opportunities for decision support systems (DSS) in large-scale human resource screening. This study proposes a technology-driven DSS architecture integrating transformer-based sentiment analysis to support early-stage candidate profiling. Its novelty lies in combining IndoBERT-based sentence embeddings with a structured DSS layer that aggregates tweet-level sentiment into risk-aware recommendations, rather than treating sentiment classifi...
Google Scholar
DOI
Performance Analysis of Ensemble Learning Models in Heart Failure Prediction: Random Forest, AdaBoost, and XGBoost
Beny, Beny
; Dinamika Bangsa University
; Yani, Herti
; Satya Wacana Christian University
; Yupu, Gangga Ramadhan Putra
; Dinamika Bangsa University
Telematika
Vol 19
, No 1
(2026)
Heart failure remains a major global health challenge, and early prediction is essential for improving patient outcomes. This study evaluates three ensemble learning methods, namely Random Forest, AdaBoost, and XGBoost, using the Heart Failure Prediction dataset containing 918 patient records from Kaggle. A quantitative experimental design was applied, including preprocessing with KNN imputation, model development, and evaluation using 10-Fold Cross Validation. Performance was assessed through a...
Sumber Asli
Google Scholar
DOI
A Graph-Augmented Isolation Forest Using Node2Vec and GraphSAGE for Mobile User Behavior Anomaly Detection
Amaka Patience Binitie
; Sunny Innocent Onyemenem
; Nneamaka Christiana Anujeonye
; Arnold Adimabua Ojugo
; Francesca Avwuru Egbokhare
; Tabitha Chukwudi Aghaunor
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a Graph-Augmented Isolation Forest (GAIF), an unsupervised anomaly-detection framework for analyzing mobile user behavior. The proposed framework represents users and behavioral attributes as a user–feature bipartite graph, enabling the capture of relational dependencies that are not explicitly modeled in conventional vector-based approaches. Low-dimensional user representations are learned through Node2Vec and Graph Sample and Aggregate (GraphSAGE), and the resulting embeddi...
Sumber Asli
Google Scholar
DOI
1 Sitasi
Prediksi Aritmia pada Lansia mengunakan Linear Regression berdasarkan Data Ekg
Dinamik
Vol 31
, No 1
(2026)
This study aims to develop a predictive model using linear regression to identify potential arrhythmias in the elderly based on electrocardiogram (ECG) data. Data were collected through observations at healthcare facilities from elderly patients with indications of arrhythmia, then preprocessed such as cleaning, normalization, feature selection, and outlier checking were carried out. The features used include PR interval, QRS duration, QT interval, and heart rate. The dataset was divided into tr...
Sumber Asli
Google Scholar
DOI
KEMAMPUAN GURU MENYUSUN BAHAN AJAR KELAS X SMA NEGERI 1 WIROSARI KABUPATEN GROBOGAN
JISABDA: Jurnal Ilmiah Sastra dan Bahasa Daerah, serta Pengajarannya
Vol 6
, No 2
(2025)
This study contains the ability of teachers to prepare teaching materials for class X SMA Negeri 1 Wirosari. This study aims to describe how teachers prepare teaching materials according to the curriculum. With the formulation of the problem of how the Javanese language teacher's ability to compile teaching materials for class X SMA Negeri 1 Wirosari. This research uses a qualitative research method because the data is in the form of words, phrases and sentences, the source of the data used is t...
Sumber Asli
Google Scholar
DOI
Prediksi Penyakit Jantung Menggunakan Algoritma Machine Learning Berdasarkan Indikator Kesehatan
Karo-Karo, Julkarnaen
; Syakir, Adryan Raihan
; Raihan, Raihan
; Sumanto, Sumanto
; Budiawan, Imam
; Pakpahan, Roida
; Christian, Ade
; Karo-Karo, Julkarnaen
; Syakir, Adryan Raihan
; Raihan, Raihan
; Sumanto, Sumanto
; Budiawan, Imam
; Pakpahan, Roida
; Christian, Ade
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2025)
Penyakit jantung tetap menjadi penyebab utama kematian di seluruh dunia, sehingga menekankan perlunya deteksi dini dan langkah pencegahan aktif melalui pendekatan yang didasarkan pada analisis data. Penelitian ini bertujuan untuk memprediksi kemungkinan terjadinya penyakit jantung dengan memanfaatkan berbagai metode pembelajaran mesin, yang bergantung pada indikator kesehatan seperti nilai tekanan darah, tingkat kolesterol, indeks massa tubuh, serta pengukuran denyut nadi. Penelitian ini menerap...
Google Scholar
DOI
1 Sitasi
Analisis Dampak Penerapan Pajak UMKM Final terhadap Kepatuhan Wajib Pajak
JURNAL EKONOMI MANAJEMEN AKUNTANSI
Vol 31
, No 2
(2025)
Micro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia’s economic development, particularly in job creation, income distribution, and tax revenue contribution. To support MSMEs and encourage formal tax participation, the government issued Government Regulation (PP) No. 23 of 2018, which reduced the Final Income Tax (PPh Final) rate from 1% to 0.5% of gross turnover. This policy aims to increase tax compliance, reduce administrative burdens, and expand the national tax base....
Sumber Asli
Google Scholar
DOI
Peranan Pemerintah Kelurahan Bitung Barat Satu dalam Mewujudkan Good Government
Edwin Jacobis
; Frangky Robial
; Hendry Rumengan
; Christian Tarandung
; Nolvy Ruata
; Diana Wangania
; Mei Hastuti
Jurnal Media Administrasi
Vol 10
, No 2
(2025)
The village is a government unit that often receives negative opinions from the public. These opinions include the lack of quality human resources, frequent practices of corruption, collusion and nepotism such as extortion, government officials who are often absent from their places and so on. This study is to determine the extent of the commitment of the Bitung Barat Satu village government in creating Good Government in its area and also to determine the impact of Good Government in providing...
Sumber Asli
Google Scholar
DOI
The Influence of Digital Literacy, Motivation, and Self-Efficacy on the Work Readiness of Students
RADIANT: Journal of Applied, Social, and Education Studies
Vol 6
, No 3
(2025)
Work readiness is the most important skill that students need to have to face the world of work. Work readiness consists of understanding, motivation, and individual ability to be able to perform work-related tasks efficiently, and must have physical, mental and emotional maturity. The preliminary research results show that many students are still hesitant to enter the workforce for several reasons. This is because they have concerns about how the work environment differs from school life. The...
Sumber Asli
Google Scholar
DOI