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Pengembangan Kapasitas Manajerial UMKM untuk Meningkatkan Daya Saing Melalui Inovasi Teknologi
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 1
(2025)
Micro, Small, and Medium Enterprises (UMKM) play a crucial role in the national economy. However, significant challenges such as limited resources, market access, and inadequate managerial capabilities remain obstacles to enhancing competitiveness. Developing managerial capacity through technological innovation has become a strategic solution for UMKM to survive and grow in the digital era. This study aims to analyze the importance of developing managerial capacity in improving UMKM competitiven...
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Leveraging Variational Quantum-Classical Algorithms for Enhanced Lung Cancer Prediction
Journal of Computing Theories and Applications
Vol 2
, No 3
(2024)
This work explores the potential of PennyLane and variational quantum-classical algorithms (VQCA) to forecast lung cancer using a structured dataset. The VQCA model performs exceptionally well, with flawless training, validation, and test accuracies of 1.0, demonstrating its capacity to identify patterns in the dataset and provide reliable predictions successfully. Contrarily, the accuracy of the quantum neural network (QNN) and classical neural network (NN) models is lower, demonstrating the be...
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Enhanced Multi-Class Skin Lesion Classification of Dermoscopic Images Using an Ensemble of Deep Learning Models
Journal of Computing Theories and Applications
Vol 2
, No 2
(2024)
This study presents an advanced approach to multi-class skin lesion classification by leveraging an ensemble model comprising the Inception-V3, ResNet-50, and VGG16 architectures. The classification task focuses on categorizing skin lesions into distinct classes, including Melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC), using the ISIC dataset, a comprehensive collection of dermoscopic images. In order to properly balance the dataset, the oversampling strategy is utilized...
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Optimizing Cloud Computing Performance by Integrating the Novel PSBR Service Broker Policy and Load Balancing Algorithms
Journal of Computing Theories and Applications
Vol 2
, No 2
(2024)
As cloud computing advances, organizations' IT infrastructure and application deployment processes are moving to the cloud because cloud computing provides everything as a service over the Internet. The performance of a cloud-based application is based on proper datacenter selection and workload distribution within the selected datacenter. Service broker policies are used for suitable datacenter selection, and load balancing algorithms(LBA) are applied to distribute workloads. This paper is to e...
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Variation of Sago Flour and Tapioca Starch in Carrot (Daucus carota L.) Fortified Mackerel (Scomberomorus commersonii) Sausages: Fortifikasi Pasta Wortel (Daucus carota L.) Pada Pembuatan Sosis Ikan Tenggiri (Scomberomorus commersonii) Dengan Variasi Tepung Sagu dan Tepung Tapioka
JITIPARI (Jurnal Ilmiah Teknologi dan Industri Pangan UNISRI)
Vol 9
, No 2
(2024)
Sausage is one of frozen food product that’s popular among the society. Mackerel is classified as a fish that’s low fat and higher in protein, and also has characteristics like white meat, thick and didn’t had contain many thorns, so it’s suitable for used in the processed of fish sausage. Innovation of fish sausage can be carried out by fortification provitamin A from carrot paste, and produced gluten-free mackerel sausage product by using sago flour and tapioca starch as a binder. The...
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Faktor-Faktor Yang Mempengaruhi Pemberian Imunisasi Dasar Lengkap Pada Bayi di UPTD Puskesmas Sungai Raya Aceh Timur Tahun 2024
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 2
, No 3
(2024)
Accination actively seeks to create/enhance a person's immunity to disease. Vaccination protects children from several immunisation-preventable diseases (VPDs). Some of the infectious diseases included in VPDs are tuberculosis, diphtheria, tetanus, hepatitis B, whooping cough, measles, polio, and meningitis. Vaccinated children will be protected from dangerous diseases that can cause injury or death. This study is included in analytical observational research, which does not conduct treatment on...
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Studi Kasus Strategi Adaptasi Sosial Mahasiswa Dengan Gangguan Bipolar
Inspirasi Dunia: Jurnal Riset Pendidikan dan Bahasa
Vol 3
, No 4
(2024)
Bipolar disorder affects a person’s affect and activities over a certain period of time. In manic and hypomanic episodes, a person with bipolar disorder experiences increased activity and affect in the form of increased energy and activity. In a depressive episode there is a decrease in affect, activity, and reduced energy. This study aimed to determine social adaptation of subjects with bipolar disorder in manic/hypomanic and depressive episode, describe impact of bipolar disorder on social env...
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Pengaruh Profitabilitas, Kebijakan Dividen, Perencanaan Pajak dan Beban Pajak Tangguhan Terhadap Manajemen Laba
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 3
, No 3
(2024)
This study aims to analyze the factors that influence earnings management in banking companies listed on the Indonesia Stock Exchange. The Covid-19 pandemic has had a significant impact on the financial sector in Indonesia, causing a decrease in profitability, an increase in non-performing loans, and credit restructuring policies that affect company operations. In the face of these challenges, companies try to maintain a good image and investor satisfaction through earnings management. This stud...
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IoT Security Using Machine Learning Methods with Features Correlation
Journal of Computing Theories and Applications
Vol 2
, No 2
(2024)
The Internet of Things (IoT) is an innovative technology that makes our environment smarter, with IoT devices as an integral part of home automation. Smart home systems are becoming increasingly popular as an IoT service in the home that connects via a network. Due to the security weakness of many devices, the malware is targeting IoT devices. After being infected with malicious attacks on smart devices, they act like bots that the intruders can control. Machine learning methods can assist in im...
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Application of Tiny Machine Learning in Predicative Maintenance in Industries
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
The continued advancements in Internet of Things (IoT) and Machine Learning (ML) technologies have led to their adoption in various domains including in industries for predictive maintenance among other applications. Given the resource constraints of IoT devices, they cannot process the resource-intensive ML algorithms hence data collected by the devices are first sent to the cloud where the algorithms are hosted for processing and inference with the results being sent back to the devices for ac...
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