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Menampilkan 3191–3200 dari 14256 artikel
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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3 Sitasi
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
Peran Manajemen SDM terhadap Kinerja Karyawan pada Perusahaan Konstruksi PT. Marisa Jaya Abadi
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 3
, No 1
(2025)
The purpose of this study is to evaluate the role of human resource (HR) management in improving employee performance at PT Marisa Jaya Abadi, a construction company that faces various problems with HR management. This research is also motivated by the importance of HR quality to achieve company goals and project success, as well as the need to evaluate existing HR management policies and practices. This research utilizes an independent study approach which allows the researcher to expect that t...
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Pengaruh Gaya Kepemimpinan dan Pelatihan Kerja Terhadap Kinerja Pegawai Dinas Pemadam Kebakaran Kota Makassar
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 3
, No 1
(2025)
The objective of this research is to determine the influence of leadership style and work training variables on employee performance at the Fire Department of Makassar City. This study employs a quantitative approach using primary data obtained through questionnaires from respondents. The population in this study consists of all field officers with civil servant status at the Fire Department of Makassar City, totaling 70 employees. The sample is selected using purposive sampling, which involves...
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Sosialisasi Pembuatan Sabun Cuci Piring dengan Inovasi Penambahan Infusa Daun Petai Cina kepada Guru-Guru di Yayasan Perguruan Islam Ummul Quro Al-Hamidiyah
Dewi Patmayuni
; Erjon Erjon
; Ade Arinia Rasyad
; Agnes Rendowaty
; Nilda Lely
; Masayu Azizah
; Ema Ratna Sari
; Lilik Pranata
; Masayu Rosyidah
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri
Vol 4
, No 1
(2025)
An effective and environmentally friendly dishwashing soap is needed because conventional dishwashing soaps often contain harmful chemicals that can damage the environment. Petai cina leaves, or Moringa oleifera, have antibacterial and antioxidant properties, making them a natural choice for cleaning care. Housewives will not be separated from dishwashing soap, so the PkM team aims to Socialize the Making of Dishwashing Soap with the Innovation of Adding Petai Cina Leaf Infusion to Teachers at t...
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