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Optimization of Image Compression Using K-Means Clustering for Digital Heritage Archives
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Preserving digital cultural assets requires efficient compression to minimize storage and bandwidth costs. However, existing studies rarely evaluate K-Means Clustering on structurally complex objects such as the Prambanan Temple, leaving a research gap in assessing its performance against standard codecs. This study introduces a novel optimized K-Means pipeline with adaptive cluster selection and improved centroid initialization for compressing high-detail temple imagery. The method groups pixel...
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Rancang Bangun Antena Mikrostrip Patch Triangular Pada Frekuensi 1800 Mhz Sebagai Penguat Jaringan Internet Di Kebun Raya Balikpapan
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
Penelitian ini bertujuan untuk merancang dan merealisasikan antena mikrostrip patch berbentuk segitiga (triangular) yang bekerja pada frekuensi 1800 MHz, sebagai penguat jaringan internet di kawasan Kebun Raya Balikpapan. Lokasi tersebut diketahui memiliki kualitas sinyal yang kurang baik untuk beberapa provider. Antena yang dirancang menggunakan dua konfigurasi, yaitu MIMO 8x8 dengan teknik pencatuan langsung dan array 8x1, yang kemudian disimulasikan menggunakan CST Studio Suite 2019 dan diuji...
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FILLING OTOMATIS SOLUSI PENGEMASAN KECAP UMKM MASA KINI
Jurnal Agrifoodtech
Vol 4
, No 2
(2026)
Kecap merupakan produk fermentasi kedelai yang berperan penting sebagai bumbu penyedap dalam masakan. Berdasarkan rasa dan kekentalannya, kecap dibedakan menjadi kecap manis dan kecap asin. Penelitian ini bertujuan untuk mengkaji penerapan teknologi filling otomatis sebagai solusi dalam meningkatkan efisiensi proses pengemasan botol kecap pada skala UMKM. Metode yang digunakan adalah deskriptif kualitatif dengan pendekatan studi pustaka. Permintaan pasar yang tinggi terhadap kecap manis mendoron...
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PENGARUH SUBTITUSI TEPUNG PATI GANYONG TERHADAP RASA DAN TEKSTUR KUE BROWNIES
Jurnal Agrifoodtech
Vol 4
, No 2
(2026)
Indonesia merupakan negara yang kaya akan sumber daya alam, termasuk berbagai jenis umbi-umbian yang berpotensi dimanfaatkan sebagai bahan pangan alternatif, salah satunya adalah umbi ganyong. Penelitian ini bertujuan untuk mengetahui pengaruh substitusi tepung pati ganyong terhadap rasa dan tekstur brownies, serta tingkat kesukaan konsumen terhadap brownies. Penelitian ini menggunakan metode eksperimen dengan pendekatan kuantitatif. Perlakuan yang diberikan berupa substitusi tepung pati ganyong...
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Implementasi Algoritma FP-Growth Untuk Menemukan Pola Hubungan Antar Barang pada Transaksi Penjualan
Nadia, Nadia
; Tripasha, Ghina
; Atya, Nur
; Sutejo, Heru
; Nadia, Nadia
; Tripasha, Ghina
; Atya, Nur
; Sutejo, Heru
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2026)
This study is motivated by the problem faced by Toko Polirindo, where sales transaction data are stored only as archives and have not been utilized for analytical purposes, resulting in unstable product availability, recurring stock shortages, and difficulties in predicting customer purchasing behavior; therefore, this research aims to identify patterns of item associations that frequently occur together by applying the Association Rule Mining method using the FP-Growth algorithm, which is recog...
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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...
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Implementation of Machine Learning for Credit Card Fraud Detection using Logistic Regression and Gradient Boosting
Dinamik
Vol 31
, No 1
(2026)
Credit card fraud is a critical issue in digital financial transactions. This study aims to develop and evaluate fraud detection models using Logistic Regression and Gradient Boosting on an imbalanced dataset, where fraudulent transactions constitute only a small portion of the data. To address this imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied during preprocessing. Logistic Regression, used as a baseline model, achieved 95% accuracy, 78.6% precision, 55.9% recall...
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Faktor-Faktor yang Mempengaruhi Siswa SMA Al-Kautsar dalam Penggunaan Media Pembelajaran Berbasis Metaverse
Dinamik
Vol 31
, No 1
(2026)
This study aims to investigate the factors influencing the continuance intention of Al-Kautsar Senior High School students in using metaverse-based learning media. The background of this research lies in the rapid adoption of immersive technologies in education, while students’ levels of acceptance have not yet been fully understood. The objective is to identify the antecedents of satisfaction, which subsequently influence continuous intention. The research model examines the effects of perceive...
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Prediksi Jumlah Donor Darah menggunakan Pendekatan WMA dI Kantor PMI Kabupaten Asahan
Dinamik
Vol 31
, No 1
(2026)
The rapid development of information technology in today's digital era has significantly impacted organizational performance, particularly in data management and resource planning. One organization that heavily relies on accurate data availability is the Indonesian Red Cross (PMI), especially its Blood Donor Unit (UDD). UDD PMI of Asahan Regency faces challenges in determining monthly blood donor targets to maintain stable blood stock. A shortage of blood supply can be fatal for patients requiri...
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Tren Terkini dan Tantangan dalam Implementasi IoT untuk Layanan Kesehatan: A Systematic Literature Review
Dinamik
Vol 31
, No 1
(2026)
Since 2022, the application of the Internet of Things (IoT) in the healthcare sector has grown significantly, marked by the increasing adoption of wearable technology, artificial intelligence (AI), machine learning (ML), and blockchain integration. Research highlights India and China as leading contributors in this domain. IoT enables real-time monitoring of chronic diseases, tracking of patient vital signs, and detection of health protocol compliance. Integrated systems such as Monit4Healthy an...
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