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Menampilkan 331–340 dari 10274 artikel
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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Microstructural and Carbon Phase Analysis of Water Hyacinth Derived Biochar under Particle Size Variation
Lontar Physics Today
Vol 5
, No 1
(2026)
Water hyacinth is an abundant lignocellulosic biomass with strong potential as a sustainable carbon source. This study aims to investigate the effect of particle size variation on the carbon phase and microstructural development of biomass-derived carbon from water hyacinth. The leaves of water hyacinth were used as a raw material, thoroughly washed, cut into small pieces, and sun-dried for 11 days until completely dry. The dried leaves were then ground into powder and sieved into three particle...
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PENGARUH IKLIM KERJA DAN KOMPENSASI FINANSIAL TERHADAP KINERJA PEGAWAI DENGAN KEPUASAN KERJA SEBAGAI VARIABEL INTERVENING(Studi Kasus pada OPD Pengelola Pendapatan Daerah Kabupaten Pemalang)
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
Penelitian ini bertujuan untuk menganalisis pengaruh iklim kerja dan komepensasi finansial baik secara langsung maupun tidak langsung melalui kepuasan kerja terhadap kinerja pegawai. Populasi yang digunakan dalam penelitian ini adalah pegawai OPD Pengelola Pendapatan Daerah Kabupaten Pemalang. Populasi dalam penelitian ini berjumlah 110 responden, penelitian ini menggunakan teknik sampel jenuh, yaitu teknik di mana seluruh anggota populasi dijadikan sampel. Populasi dalam penelitian ini adalah s...
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Penguatan Aparatur Sekretariat DPRD dalam Perspektif Institusionalisme: Integrasi Old Institutionalism, New Institutionalism, dan Teori Tiga Pilar Kelembagaan
Public Service And Governance Journal
Vol 7
, No 1
(2026)
The strengthening of the Secretariat apparatus of the Regional Representative Council (DPRD) is a strategic issue in the governance of legislative administration at the regional level in Indonesia. However, studies on the DPRD Secretariat remain relatively limited and tend to emphasize structural and regulatory aspects, without comprehensively addressing institutional dynamics. This study aims to strengthen the DPRD Secretariat apparatus through an institutionalist perspective, using the Institu...
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Pengaruh Tingkat Pendidikan Terhadap Kualitas Laporan Keuangan Berbasis SAK EMKM Dengan Sistem Informasi Akuntansi Sebagai Variabel Moderasi : Studi Kasus Pada Coffee Shop Kota Kediri
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This study aims to analyze the effect of education level on the quality of financial statements based on SAK EMKM, with accounting information systems as a moderating variable, focusing on coffee shop micro, small, and medium enterprises (MSMEs) in Kediri City, Indonesia. A quantitative approach was employed using primary data collected through structured questionnaires distributed to 32 business owners or financial managers selected by purposive sampling. Data were analyzed using descriptive st...
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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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Pengaruh DER, ROE, dan EPS Terhadap Harga Saham Pada Perusahaan Sub Sektor Pulp dan Kertas Yang Terdaftar di BEI Periode 2018 – 2023
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
This study aims to analyze the effect of Debt to Equity Ratio (DER), Return on Equity (ROE), and Earning Per Share (EPS) on stock prices of pulp and paper sub-sector companies listed on the Indonesia Stock Exchange (IDX) during the 2018–2023 period. This research employs a quantitative associative approach using secondary data obtained from annual financial statements and stock closing prices. The population consists of all pulp and paper sub-sector companies listed on the IDX, with six companie...
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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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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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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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