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Implementasi Metode Vision Transformer (ViT) Dalam Klasifikasi Jenis Tanah
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
This study applies the Vision Transformer (ViT) method to soil-type classification and evaluates its accuracy using digital images. The Vision Transformer (ViT) is a Deep Learning architecture that uses self-attention to extract global features from images, enabling it to recognize texture and color patterns more comprehensively than other convolutional methods. The dataset used consists of eight soil types, each containing 77 image data in “.jpg” format. Each image was processed and augmented t...
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Implementasi Metode Vision Transformer (ViT) Dalam Klasifikasi Jenis Tanah
Hasbi, Abdilah
; Ardollynata, Ardollynata
; Tumanggor, Benelekser
; Hasbi, Abdilah
; Ardollynata, Ardollynata
; Tumanggor, Benerlekser
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
This study applies the Vision Transformer (ViT) method to soil-type classification and evaluates its accuracy using digital images. The Vision Transformer (ViT) is a Deep Learning architecture that uses self-attention to extract global features from images, enabling it to recognize texture and color patterns more comprehensively than other convolutional methods. The dataset used consists of eight soil types, each containing 77 image data in “.jpg” format. Each image was processed and augmented t...
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Android Malware Detection Using Machine Learning with SMOTE-Tomek Data Balancing
Masari, Maryam Sufiyanu
; Danladi, Maiauduga Abdullahi
; Onyinye, Ilori Loretta
; Tohomdet, Loreta Katok
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a comprehensive comparative analysis of four traditional machine learning algorithms Decision Tree, Random Forest, K-Nearest Neighbors, and Support Vector Machine for Android malware detection using the preprocessed TUANDROMD dataset comprising 4,465 instances and 241 features representing both static and dynamic application characteristics. Motivated by the limitations of conventional signature-based and hybrid detection methods, especially in managing imbalanced datasets an...
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Analisis Rencana Kebijakan Pelibatan Ekspatriat pada Jajaran Direksi di PT. Garuda Indonesia
Raihani Khairunissa Barni
; Syarach Agusti Ekasuci
; Ayu Maulani
; Sabillah Azhari
; Tati
; Abdullah Qiqi Asmara
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The policy of involving expatriates in the board of directors of State-Owned Enterprises (SOEs) has become a debated issue, particularly regarding its implications for corporate governance and national workforce interests. The main problem discussed in this article is how the policy of expatriate involvement in the board of directors of PT Garuda Indonesia is viewed from the perspective of Good Corporate Governance (GCG). This study aims to analyze the suitability of the policy with GCG principl...
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Implementation of K-Nearest Neighbor Algorithm for Used Motorcycle Price Prediction Based on Vehicle Features
Rozi, Muhamad Fahrul
; Heriyanto, Lucky
; Permana, Denny Rianditha Arief
; Abdad, Ibnu Dzaky
; Rozi, Muhamad Fahrul
; Heriyanto, Lucky
; Permana, Denny Rianditha Arief
; Abdad, Ibnu Dzaky
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Pasar sepeda motor bekas di Indonesia menunjukkan tren penting sebagai moda transportasi yang layak. Namun demikian, penilaian harga pasar yang adil sering ditandai oleh subjektivitas dan menimbulkan tantangan besar bagi penjual dan pembeli dalam mencapai estimasi yang akurat. Penelitian ini berusaha untuk mengembangkan model prediktif untuk harga sepeda motor bekas menggunakan algoritma K-Nearest Neighbor (KNN), berdasarkan data historis. Dataset yang digunakan terdiri dari 199 catatan dengan a...
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Pengaruh Struktur Modal dan Perputaran Aset Tetap terhadap Tingkat Pengembalian Aset pada PT Argo Pantes Tbk Periode 2013-2022
Populer: Jurnal Penelitian Mahasiswa
Vol 4
, No 4
(2026)
This study aims to examine and analyze the effect of capital structure and fixed asset turnover on return on assets (ROA) at PT Argo Pantes Tbk during the period 2013–2022. The research employs a quantitative method with a statistical analysis approach, using secondary data obtained from the company’s financial statements. The data analysis techniques include classical assumption tests, namely normality, multicollinearity, heteroscedasticity, and autocorrelation tests, followed by multiple linea...
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Comparative Performance Evaluation of Electric Powertrains in ICE Motorcycle Conversion
Rusli, Muhammad Rizani
; Binugroho, Eko Henfri
; Nugroho, Mochamad Ari Bagus
; Maulana, Himmawan Sabda
; Dewanto, Raden Sanggar
; Ariwibowo, Teguh Hady
; Pramadihanto, Dadet
; Jati, Mentari Putri
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Electrifying Indonesia’s motorcycle fleet is critical for reducing urban emissions and fossil fuel dependence. This study experimentally evaluates three powertrain configurations—hub motor, continuously variable transmission (CVT), and single-gear ratio—for converting internal combustion engine (ICE) motorcycles to electric two-wheelers (E2W). Using a Honda Vario 125 platform with a 72 V, 3 kW Brushless DC motor and 1.44 kWh lithium-ion battery, performance was assessed via chassis dynamometer a...
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Optimalisasi Produksi Benih Udang Vanamei (Litopenaeus vannamei) melalui Stimulasi Kualitas Pakan Alami di Kabupaten Tuban
buwono, nanik retno
; Musa, Muhammad
; Lusiana, Evellin Dewi
; Afifah, Kharisma Latifatul
; Nikmah, Munauw Weretun
; Maulana, Abdullah Radhi
Abdi Geomedisains
Vol 6
, No 2
(2026)
This community service program was conducted with the Benur Barokah Group (Tuban Regency), a producer of vannamei shrimp (Litopenaeus vannamei) post larvae at the PL-5 stage. Major constraints included inconsistent natural feed quality, water-quality management based mainly on experience, and limited marketing, leading to low harvest success (≈40% of stocked PL-5) and fluctuating survival rates. The program aimed to improve seed production by mentoring partners on Chlorella sp. microalgae cultur...
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Analisis Sentimen X: Kegagalan Timnas ke Piala Dunia 2026 dengan Naive Bayes
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
The performance of the Indonesian National Team (Timnas) in the 2026 World Cup qualifications has triggered massive and diverse responses on social media, particularly on platform X. This study aims to identify and classify public sentiment regarding Timnas Indonesia's performance into positive, negative, and neutral categories using a data mining approach. Text data was processed through pre-processing stages, term weighting using TF-IDF, and the application of the Synthetic Minority Over-s...
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INOVASI GINGERBREAD BERBAHAN DASAR KENTANG DENGAN PERLAKUAN YANG BERBEDA
Avelia, Variska
; Anggarini, Dola Mareta
; Nurazizah, Desi
; Maolana, Fedo Alta
; Annajah, Abdillah Fathan Generus
; Muflihati, Iffah
; Affandi, Arief Rakhman
Jurnal Agrifoodtech
Vol 4
, No 2
(2026)
Gingerbread merupakan kue kering yang terbuat dengan bahan dasar tepung terigu dengan campuran jahe dan bubuk kayu manis. Ketergantungan penggunaan tepung terigu pada pembuatan produk pangan sampai saat ini masih sangat tinggi, salah satu upaya untuk mengurangi penggunaan tepung terigu adalah dengan memanfaatkan tepung kentang sebagai pengganti tepung terigu. Jahe memiliki beragam jenis dan karakteristik yang berbeda, penggunaan jahe yang biasanya yang digunakan dalam pembuatan gingerbread yang...
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