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Evaluation of Learning Management System for Users with Accessibility Needs Using Extended Technology Acceptance Model (E-TAM)
Zatin Niqotaini
; Henki Bayu Seta
; Theresiawati
; Dwi Vernanda
; Artika Arista
; Muhammad ibrahim Al Farisi
; Rapolo Joshua Napitupulu
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Inclusive education aims to provide equal learning opportunities for students with special needs, including the use of a Learning Management System (LMS). The urgency of this research stems from the significant challenges in LMS accessibility, which pose major obstacles for students with disabilities. These challenges include difficult navigation, a lack of screen reader features, and unfriendly interface design. The objectives of the research are to identify and evaluate the factors of LMS acce...
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Pemberdayaan Masyarakat Berbasis Ekonomi Kreatif melalui Workshop Pengolahan Minyak Jelantah di Kelurahan Pesantren Kota Semarang
Yuniarti, Nur Atika
; Atika Mutiarachim
; Ryan Arya Pramudya
; Ery Fatarina Purwaningtyas
; Eleny Sania Putri
Jurnal Suara Pengabdian 45
Vol 5
, No 1
(2026)
Tantangan utama yang dihadapi warga Kelurahan Pesantren, Kota Semarang adalah belum optimalnya pengelolaan limbah lingkungan rumah tangga, khususnya minyak jelantah, yang berpotensi menimbulkan pencemaran dan masih kurang dimanfaatkan secara ekonomi. Program ini bertujuan untuk meningkatkan kesadaran lingkungan, keterampilan kewirausahaan, dan kemandirian ekonomi masyarakat dengan inovasi ekonomi kreatif. Tahapan pelaksanaannya meliputi observasi dan identifikasi masalah, perencanaan program par...
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Pengaruh Fixed Asset Intensity dan Leverage terhadap Tax Management dengan Moderasi Profitability
KOMPAK : Jurnal Ilmiah Komputerisasi Akuntansi
Vol 19
, No 1
(2026)
Tax Management refers to a company’s efforts to manage its tax obligations efficiently and legally in order to optimize net income. This study aims to examine the effect of Fixed Asset Intensity and Leverage on Tax Management, with Profitability as a moderating variable, in mining companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2024 period. This research is conducted because tax management practices are considered to potentially influence corporate profitability and financial...
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Information Security Evaluation Based on KAMI Index 5.0 (2023) at PT X
Michelle, Greycia Febrina
; Modami, Nickel
; Manopo, Ephraim Eleazar Reva
; Kurniawan, Muhamad Rafly
; Enditama, Danendra Rafi
; Ayunda, Afifah Trista
; Michelle, Greycia Febrina
; Modami, Nickel
; Manopo, Ephraim Eleazar Reva
; Kurniawan, Muhamad Rafly
; Enditama, Danendra Rafi
; Ayunda, Afifah Trista
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 2
(2026)
Transformasi digital di sektor jasa keuangan menuntut adanya jaminan keamanan informasi yang tangguh untuk melindungi data strategis dari ancaman siber yang semakin kompleks. PT X, sebagai institusi strategis yang mengelola investasi dan aset publik, menghadapi tantangan dalam menyeimbangkan operasional sistem Enterprise Resource Planning (ERP) dengan kepatuhan terhadap regulasi privasi data. Penelitian ini bertujuan untuk mengevaluasi tingkat kematangan (maturity level) keamanan informasi dan m...
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Design of IoT-Based Fire Monitoring Using Flame and Smoke Sensors (Dlimas Village)
Khusni, Mukhamad Iqbal
; Suasana, Iman Saufik
; Kurniawan, Dendy
; Khusni, Mukhamad Iqbal
; Suasana, Iman Saufik
; Kurniawan, Dendy
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 2
(2026)
Design and Development of Fire Monitoring System Based on Internet of Things Using Flame Sensor and Smoke Sensor (Case Study at Balai Desa Dlimas). Fire is a disaster that can cause significant losses in both material and human life. Early fire detection is crucial to minimize the potential impact. Balai Desa Dlimas, located in Banyuputih District, Batang Regency, currently lacks an adequate fire detection and monitoring system. Therefore, this study aims to design and implement a fire monitorin...
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For Victory: Skill Naming in Mobile Legends: Bang Bang and Honor of Kings
Al Hafidz, Fauzan
; Firmanan Tyas, Rifky
; Khomaini Dimyati Timur, Ahmad
; Hafidh Multazil 'Ilmi, Muhammad
RADIANT: Journal of Applied, Social, and Education Studies
Vol 7
, No 1
(2026)
This study focuses on how the skill naming in Mobile Legends: Bang Bang and Honor of Kings. The skill naming in the two skill-dependent video games assists in shaping players' experience by the relation of skill name and its naming ideas. Therefore, these video games could create such an immersion as they have mythopoesis or their world. The qualitative method was employed in this study. Textual, visual, and functional representations of skills were analyzed. The data were collected through docu...
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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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Pengaruh Harga Terhadap Keputusan Pembelian Sapronak Ayam Pedaging Pada Mitra Peternak PT Sejahtera Abadi Unggas Unit Kediri
Populer: Jurnal Penelitian Mahasiswa
Vol 4
, No 4
(2026)
This study aims to analyze the effect of price on purchasing decisions of broiler chicken production inputs (sapronak) among partner farmers of PT Sejahtera Abadi Unggas, Kediri Unit. A quantitative approach with a causal research design was employed. The research sample consisted of 104 active partner farmers, selected using purposive sampling. Data were collected through structured questionnaires using a five-point Likert scale. The collected data were analyzed using validity and reliability t...
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Spatial Analysis of Flood-Prone Areas in Padang Terap, Kedah: Integrating Spatial Autocorrelation and Optimized Hotspot Analysis
Ahmad, Azizul
; Said , Mohd Zulhafiz
; Abdul Gapor , Salfarina
; Jamru , Lindah Roziani
; Jubit , Norita
; Mohd Najib , Sumayyah Aimi
; Masron, Tarmiji
; Ariffin, Nur Afiqah
; Zakaria , Yaniza Shaira
Forum Geografi
Vol 40
, No 1
(2026)
Flooding increasingly threatens socio-economic resilience in Malaysia, particularly in vulnerable districts such as Padang Terap, Kedah. Using a GIS-based framework integrating Spatial Autocorrelation (Moran’s I) and Optimized Hotspot Analysis (Getis-Ord Gi*), this study quantifies spatial clustering of flood-prone areas across four inundation levels (0.3 m–3.7 m). Results reveal intensifying positive spatial autocorrelation with rising flood depths, reflecting hydrological connectivity and topo...
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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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