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A Lightweight Maize Leaf Disease Recognition Using PCA-Compressed MobileNetV2 Features and RBF-SVM
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classificat...
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UPAYA PENINGKATAN KINERJA PEGAWAI MELALUIKEPEMIMPINAN DIGITAL, KNOWLEDGE SHARINGDAN PERILAKU INOVASI(Studi Empiris pada Kecamatan Se-Kabupaten Pemalang)
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
Penelitian ini bertujuan untuk menganalisis peran kepemimpinan digital, knowledge sharing baik secara langsung maupun tidak langsung melalui perilaku inovasi terhadap kinerja pegawai pada pegawai Kecamatan se-Kabuptaen Pemalang. Populasi yang digunakan pada penelitian ini adalah pegawai ASN sebanyak 217 responden. Sampel yang digunakan menggunakan rumus slovin sebanyak 141 responden. Sumber data yang digunakan data primer, dengan metode pengumpulan data kuesioner. Teknik analisis yang digunakan...
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PERAN KUALITAS PELAYANAN DALAM MEMEDIASI PENGARUH KEDISIPLINAN DAN KOMPETENSI TERHADAP KINERJA PEGAWAI(STUDI DI KANTOR DUKCAPIL KABUPATEN PEKALONGAN)
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
Penelitian ini bertujuan untuk menganalisis pengaruh kedisiplinan dan kompetensi baik secara langsung maupun tidak langsung melalui kualitas pelayanan pada pegawai Dukcapil Kabupaten Pekalongan. Populasi yang digunakan pada penelitian ini adalah pegawai yang bekerja di Dukcapil Kabupaten Pekalongan dengan jumlah 67 orang pegawai, teknik pengambilan sampel dengan menggunakan sampel jenuh, jumlah sampel yang digunakan sebanyak 67 responden. Sumber data yang digunakan data primer, dengan metode pe...
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Artificial Intelligence in Decision Support Systems for Job Promotions
Telematika
Vol 18
, No 2
(2026)
Educational Personnel have an important role in supporting the success of education. Educational Personnel have a role in carrying out administration, management, development, supervision, and technical services to support the educational process in educational units. The declining performance of education personnel at the junior high school level in West Jakarta, particularly due to the ineffectiveness of the promotion system, demonstrates the need for an objective, data-driven assessment mecha...
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Systematic Review of Supervised Learning Models for Network Flood Detection (NFD): Trends, Performance Evaluation, and Implementation Insights
Habibi, Roni
; Universitas Logistik dan Bisnis Internasional
; Widana, Naufal Dekha
; Universitas Logistik dan Bisnis Internasional
Telematika
Vol 18
, No 2
(2026)
Due to the growing volume, speed, and sophistication of malicious traffic, Network Flood Detection (NFD), especially in the context of Distributed Denial of Service (DDoS) assaults, continues to be a crucial challenge in contemporary network security. Supervised machine learning has been widely used to enhance the precision, scalability, and real-time detection capabilities of NFD systems. However, current research reveals inconsistent results on the optimal supervised learning algorithm, most...
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Code Quality Analysis on My School's Web CMS Using SonarQube
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
CMS Sekolahku merupakan sistem open source yang digunakan untuk membantu sekolah dalam mengelola situs web berbasis konten serta proses Penerimaan Peserta Didik Baru (PPDB). Kualitas kode CMS ini sangat penting untuk menjaga keamanan, kinerja, dan stabilitas sistem. Penelitian ini bertujuan untuk menganalisis kualitas kode sumber CMS Sekolahku menggunakan SonarQube, sebuah platform inspeksi berkelanjutan yang melakukan analisis statis untuk mendeteksi bug, code smells, vulnerabilities, serta dup...
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Functional Evaluation of the Logia Dashboard Using Boundary Value Testing and Cause-Effect Graph Techniques
Ramadhan, Muhammad Rizky Aulia
; Unversitas Lambung Mangkurat
; Abadi, Friska
; Universitas Lambung Mangkurat
; Nugrahadi, Dodon Turianto
; Universitas Lambung Mangkurat
; Saputro, Setyo Wahyu
; Universitas Lambung Mangkurat
; Herteno, Rudy
; Universitas Lambung Mangkurat
; Friska Abadi, Universitas Lambung Mangkurat
; Dodon Turianto Nugrahadi, , Universitas Lambung Mangkurat
; Setyo Wahyu Saputro, Universitas Lambung Mangkurat
; Rudy Herteno, Universitas Lambung Mangkurat
Telematika
Vol 18
, No 2
(2026)
The Logia Dashboard is a web-based information system used to manage rehabilitation plant data on post-mining land. As an alpha-stage system, Logia requires thorough functional and performance evaluation to ensure that all input validations, logical processes, and system responses operate correctly before wider implementation. This study aims to evaluate the functional reliability and performance of the Logia Dashboard by applying a combined approach of Boundary Value Testing (BVT) and Cause-Eff...
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Code Quality Analysis on My School's Web CMS Using SonarQube
Syaputra, Ardian Bayu
; Enda, Depandi
; Subandri, Muhammad Asep
; Syaputra, Ardian Bayu
; Enda, Depandi
; Subandri, Muhammad Asep
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
CMS Sekolahku merupakan sistem open source yang digunakan untuk membantu sekolah dalam mengelola situs web berbasis konten serta proses Penerimaan Peserta Didik Baru (PPDB). Kualitas kode CMS ini sangat penting untuk menjaga keamanan, kinerja, dan stabilitas sistem. Penelitian ini bertujuan untuk menganalisis kualitas kode sumber CMS Sekolahku menggunakan SonarQube, sebuah platform inspeksi berkelanjutan yang melakukan analisis statis untuk mendeteksi bug, code smells, vulnerabilities, serta dup...
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Comparative Analysis of Support Vector Machine and IndoBERT Algorithms in Stance Detection on Political Issues in Social Media X: A Case Study of BPI Danantara
Taniputra, Dhammananda
; Universitas Dinamika Bangsa
; Beny, Beny
; Universitas Dinamika Bangsa
; Lucia, Lidwina Demai
; Universitas Dinamika Bangsa
; Velysha, Rachel
; Universitas Dinamika Bangsa
Telematika
Vol 18
, No 2
(2026)
Stance detection is an NLP task aimed at identifying and classifying a writer’s attitude toward a topic as supportive, opposing, or neutral based on text analysis, providing deeper insights into public opinion and supporting data-driven decision-making. This study focuses on Indonesian society’s stance toward the National Investment Management Agency (BPI Danantara), which has received positive responses for its economic potential as well as negative reactions due to concerns over governance and...
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Addressing Algorithmic Bias and Data Privacy in Human Resource Management
Herdiana, Hendi
; Universitas Pendidikan Indonesia
Universitas Indonesia
Universitas Diponegoro
; Munir, Munir
; Department Management, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
; Hurriyati, Ratih
; Department Management, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
; Sultan, Mokh. Adib
; Department Management, Faculty of Economics and Business Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
; Tua, Frans David
; Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia
; Ergashevna, Buriyeva Kibrio
; Faculty of pedagogical, Chirchik State Pedagogical University, Chirchik, Uzbekistan
Telematika
Vol 18
, No 2
(2026)
Artificial intelligence (AI) has transformed Human Resource Management (HRM) by automating recruitment, enhancing performance evaluation, and enabling data-driven workforce planning. However, its adoption raises critical concerns related to algorithmic bias, data privacy, and employee trust, creating a significant gap in understanding how these technical and ethical dimensions interact. This study aims to synthesize current evidence on the impact of AI on HRM functions, the challenges associated...
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