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Evaluation of Information System Governance Using COBIT 4.1 and Index KAMI to Measure Maturity and Security Levels in Bank Maju
Untoro, Elianna Katherine
; Ayunda, Afifah Trista
; Untoro, Elianna Katherine
; Ayunda, Afifah Trista
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 2
(2026)
The development of information technology requires the banking sector to implement measurable IT governance and information security to ensure operational reliability and customer data protection. However, many financial institutions, including Bank Maju, do not yet have a comprehensive picture of the maturity of IT governance and information security in an integrated manner. This study aims to evaluate the maturity of information technology governance using the COBIT 4.1 framework and to assess...
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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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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 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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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 Manajemenx, 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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A Participatory GIS Framework for Multi-Hazard Climate Risk Mapping in Indonesia
Fariz, Trida Ridho
; Budiarti, Ratna
; Listyarini, Jassica
; Puspitasari, Atikah Tri
; Calysta, Nadia
; Naufal, Muhammad Ahganiya
; Heriyanti, Andhina Putri
; Eralita, Norma
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Climate change has emerged as a global crisis with severe consequences for tropical and coastal regions. Pekalongan Regency, Indonesia, exemplifies these challenges, facing recurrent floods and landslides that threaten livelihoods and infrastructure. Risk mapping is urgently needed to guide adaptation strategies, yet many regions face constraints due to limited data availability. This study develops a multi-hazard risk mapping approach that integrates Geographic Information System (GIS) technolo...
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Development and Evaluation of an IndoBERT-Based NLP Model for Automated Clickbait Detection
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
The rapid growth of digital news platforms necessitates reliable and automated systems for maintaining content quality at scale. This study presents the engineering and evaluation of an IndoBERT-based Natural Language Processing (NLP) framework for automated clickbait detection in Indonesian news headlines. The proposed framework is designed as an end-to-end text classification pipeline, incorporating data preprocessing, tokenization, fine-tuning of a pretrained IndoBERT model, and systematic pe...
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Deep Learning-Based Classification of Cognitive Workload Using Functional Connectivity Features
Vineeta Khemchandani
; Alok Singh Chauhan
; Shahnaz Fatima
; Jalauk Singh Maurya
; Abhay Singh Rathaur
; Kumar Sharma, Narendra
; Daya Shankar Srivastava
; Vugar Abdullayev
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Cognitive workload plays a vital role in tasks that demand dynamic decision-making, especially under high-risk and time-sensitive conditions. An excessive workload can lead to unexpected and disproportionate risks, whereas insufficient workload may cause disengagement, undermining task performance. This underscores the importance of maintaining an optimal level of mental focus in high-pressure situations to ensure successful task execution. This study leverages deep learning methods alongside fu...
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Implementation of KAMI Index for IT Risk Management at PT. X
Nur Amalina Sabrina
; Keisha Jovie Dermawan
; Annisa Wulandari
; Muhammad Hafidz Fadlillah
; Vicho Yunanda Hidayat
; Afifah Trista Ayunda
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Keamanan informasi menjadi aspek yang sangat penting bagi perusahaan yang bergantung pada teknologi informasi dalam operasional bisnisnya. PT. X sebagai pengelola pusat perbelanjaan modern memiliki tingkat ketergantungan tinggi terhadap sistem elektronik seperti membership, pembayaran, CCTV, dan perparkiran, sehingga membutuhkan pengelolaan keamanan informasi yang terstruktur. Penelitian ini bertujuan mengevaluasi tingkat kematangan keamanan informasi PT. X menggunakan Indeks Keamanan Informasi...
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Sentiment Analysis of Roblox Genres on TikTok: Roleplay, RPG, and Horror using Naïve Bayes
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Popularitas platform gim Roblox di Indonesia tercermin dari tingginya volume interaksi pengguna di media sosial TikTok. Namun, data komentar yang masif tersebut bersifat tidak terstruktur dan banyak menggunakan bahasa tidak baku (slang), sehingga menyulitkan pengembang untuk mengidentifikasi preferensi pemain secara spesifik terhadap genre tertentu. Penelitian ini bertujuan untuk menganalisis sentimen pengguna dan melakukan studi komparatif preferensi terhadap tiga kategori gim utama dalam ekosi...
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