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Menampilkan 3261–3270 dari 14487 artikel
Pengaruh Pemeriksaan Pajak, Penagihan Pajak, Sanksi Perpajakan, dan Kondisi Keuangan terhadap Kepatuhan Wajib Pajak: (Studi Kasus Pada Kantor Pelayanan Pajak Pratama Blora)
Jurnal Ilmiah Manajemen Bisnis dan Ekonomi Kreatif
Vol 4
, No 2
(2025)
Kepatuhan wajib pajak merupakan salah satu faktor penting dalam meningkatkan penerimaan pajak yang berkontribusi pada pembiayaan negara. Pemeriksaan pajak bertujuan memastikan kebenaran dan keakuratan pelaporan pajak, sementara penagihan pajak berfungsi untuk memulihkan tunggakan pajak. Di sisi lain, sanksi perpajakan diberlakukan untuk memberikan efek jera kepada wajib pajak yang melanggar aturan, sedangkan kondisi keuangan memengaruhi kemampuan wajib pajak dalam memenuhi kewajiban pajaknya. Pe...
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Pengaruh Pengembangan Diri (People Devlopment), Pelatihan Dan Penghargaan (Reward) Terhadap Motivasi yang Berdampak Pada kinerja karyawan Di Lingkungan kecamatan Tayu Pati
Jurnal Ilmiah Manajemen Bisnis dan Ekonomi Kreatif
Vol 4
, No 2
(2025)
This study aims to analyze the influence of self-development, training and rewards on motivation which has an impact on employee performance in Tayu, Pati District. The data analysis method in this study uses Structural Equation Modeling (SEM) which was run on Smart PLS. Data was collected by observations and questionnaire which was distributed to 84 people. The results show that self-development does not have a positive and significant effect on employee performance, self-development does not h...
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Pengaruh Flexibel Work Arranggement, Dukungan Sosial dan Fasilitas Kerja yang Dimediasi Kesejahteraan Karyawan PT Sanfood Prima Makmur
Jurnal Ilmiah Manajemen Bisnis dan Ekonomi Kreatif
Vol 4
, No 2
(2025)
Penelitian ini bertujuan untuk menguji pengaruh Flexible Work Arrangement (FWA), dukungan sosial, dan fasilitas kerja, yang dimediasi oleh kesejahteraan karyawan, terhadap kinerja karyawan di PT Sanfood Prima Makmur. Penelitian ini didasarkan pada fenomena bahwa model kerja fleksibel dan dukungan sosial memberikan kontribusi signifikan terhadap produktivitas, tetapi masih terdapat penelitian sebelumnya yang menunjukkan hasil yang beragam (research gap). metode penelitian menggunakan pendekatan k...
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1 Sitasi
Advancing Dermatological Image Classification: GLCM-Based Machine Learning Insights
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 1
(2025)
The prospects to improve skin illness via the utilization of artificial intelligence algorithms is what renders this study economically important. Machine learning may assist physicians detect people quicker and more accurately. The effective identification of skin disorders using machine learning could result in the development of large and readily available digital tests. A model was used in the present study to analyze the HAM 10000 data. Two hundred images in total were chosen at random; one...
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1 Sitasi
Inclusion in Industry : Advancing Equality for Disabled Workers in Manufacturing in Indonesia
Public Service And Governance Journal
Vol 6
, No 1
(2025)
The manufacturing industry plays a pivotal role in promoting workplace equality for employees with disabilities. This paper explores the historical context, current trends, and challenges faced by disabled workers in the manufacturing sector. Through a comprehensive literature review and empirical research, including surveys, interviews, and case studies, the study identifies significant barriers to inclusion, such as physical inaccessibility, attitudinal prejudices, and inadequate policies. It...
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Pendampingan Strategi Digital Marketing dan Pembayaran Online dalam Meningkatkan Produktivitas pada Penjualan Usaha Parfume Naza
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri
Vol 4
, No 1
(2025)
In the midst of the increasingly rapid digital era, MSMEs in Indonesia, including the “Naza” perfume MSME in Cikarang, face challenges in increasing productivity and competitiveness. This community service activity aims to assist “Naza” perfume MSMEs in increasing productivity through assistance in implementing digital marketing strategies and online payments. By using qualitative methods which include observation, surveys and in-depth interviews as well as direct assistance. This service activi...
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An Experimental Study on Axial Stress-Strain Behaviour of FRP-Confined Square Lightweight Aggregate Concrete Columns
Louk Fanggi, Butje Alfonsius
; Budi Suswanto
; Yuyun Tajunnisa
; Jusuf Wilson Meynerd Rafael
; Jonatan Lassa
; Ahmad Basshofi Habieb
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 1
(2025)
This article presents the results of a research project that aimed to evaluate how the number of fiber-reinforced polymer (FRP) layers and the compressive strength of concrete affect the stress-strain behaviors of concrete columns produced from artificial lightweight aggregate with square cross-sectional shapes. Eighteen test specimens were manufactured and wrapped with glass fiber-reinforced polymer (GFRP) material. The specimens were later subjected to concentric compression for experimental e...
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2 Sitasi
Sustainable Digital Transformation in Healthcare: Challenges and Directions in the Society 5.0 Era
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 1
(2025)
This study conducts a comprehensive literature review on the digital transformation required by health service institutions during the Society 5.0 era. Utilizing articles related to digital transformation and health services, the study presents qualitative data simplified into descriptive narratives to draw meaningful conclusions. The method employed is a qualitative literature review. The review identifies significant challenges, including big data utilization, data security, privacy concerns,...
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Enhancing Security in Wireless Mesh Networks: A Deep Learning Approach to Black Hole Attack Detection
Mansi Bhonsle
; Gunji Sreenivasulu
; Kilaru Chaitanya
; Dhumpati Raghu
; Gunti Surendra
; Konduru Kranthi Kumar
; Mandalapu Srinivasa Rao
; Kandukuri Prabhakar
; Vamsi Krishna Vuppu
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 1
(2025)
Wireless Mesh Networks (WMNs) are susceptible to various security threats, including black hole attacks, where malicious nodes attract and drop packets, disrupting network communication. Traditional security mechanisms are often inadequate in detecting and mitigating these attacks due to their dynamic and evolving nature. In this paper, we propose a novel deep learning-based defense mechanism against black hole attacks in WMNs. It utilizes Recurrent Neural Networks (RNNs) and Long Short-Term Mem...
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3 Sitasi
Comparative Performance of Transformer Models for Cultural Heritage in NLP Tasks
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 1
(2025)
AI and Machine Learning are crucial in advancing technology, especially for processing large, complex datasets. The transformer model, a primary approach in natural language processing (NLP), enables applications like translation, text summarization, and question-answer (QA) systems. This study compares two popular transformer models, FlanT5 and mT5, which are widely used yet often struggle to capture the specific context of the reference text. Using a unique Goddess Durga QA dataset with specia...
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6 Sitasi