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DEVELOPING E-MODULE ON IDENTIFICATION OF THE Schistosoma japonicum EGG’S IN HUMAN FECES, NORTH LORE DISTRICT, CENTRAL SULAWESI
Bioma : Jurnal Ilmiah Biologi
Vol 13
, No 2
(2024)
The integration of digital technology into education is rapidly expanding. However, the use of technology in learning is often uneven. Limited literature on Schistosomiasis among students contributes to a lack of understanding about this disease. This study aimed to develop a valid, practical, and effective e-module for identifying Schistosoma japonicum worm eggs in human feces in North Lore District, Central Sulawesi. The ADDIE model was employed for the e-module's development, which included s...
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Pengaruh Efektifitas Penggunaan Sosial Media, Modal, dan Lama Usaha Terhadap Pendapatan : (Studi Kasus Durian Pj Sampang)
HATTA: Jurnal Pendidikan Ekonomi dan Ilmu Ekonomi
Vol 2
, No 2
(2024)
Effect of Effectiveness The use of social media, capital and length of business to increase income is nothing new for business actors. However, many micro-scale culinary entrepreneurs are still hesitant to use social media to develop their business. There are also many of them who have used social media, but have not experienced progress in their business. This research discusses the effectiveness of the use of social media, capital and length of business to increase income carried out by Durian...
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The Effects of Extraction Temperature on the Physicochemical Properties of Mangrove-Derived Glucomannan (Bruguiera gymnorhiza)
Wibawanti, Jeki
; Zulfanita
; Norhaslinda Arun
; Anang Mohamad Legowo
; Sri Mulyani
; Sapto Pamungkas
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 6
, No 4
(2024)
This study investigates the impact of different extraction temperatures on the physicochemical properties of glucomannan derived from mangrove fruits (Bruguiera gymnorhiza). Various extraction temperatures ranging from 45°C to 85°C were utilized. Significant differences (p < 0.05) were observed in solubility (58.41% ± 2.45), total reducing sugar content (0.39% ± 0.09), yield (35.13 ± 2.95), and L* color value (71.97 ± 1.53), while no significant differences (p > 0.05) were found in a* and...
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Posthumanist Technologies in Business: AI and Cloud Computing for Global Optimization and Ethical Challenges
Rodriguez Barboza, Jhonny Richard
; Oscar David Carreño-Flores
; Luis Miguel Davila-Zamora
; Hans Manuel Jalixto-Erazo
; Miguel Alfonso Oré de los Santos
; Orlando John Cruces-Torres
; Ricardo Edmundo Ruiz-Villavicencio
; Danny Villegas-Rivas
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 6
, No 4
(2024)
. This study explores the integration of artificial intelligence (AI) and cloud computing within posthumanist technologies, focusing on their impact on business optimization and information security. A systematic review of 40 studies across sectors such as banking and retail highlights the benefits of AI in automating tasks and enhancing decision-making, while cloud computing provides flexibility and scalability. However, risks like data privacy issues, algorithmic bias, and cybersecurity vulner...
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Pengaruh Akomodasi, Transportasi dan Harga Jasa Boga Terhadap Minat Melakukan Perjalanan Wisata: Studi Pada Mahasiswa UIN Sayyid Ali Rahmatullah Tulungagung
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 2
, No 4
(2024)
This study aims to determine the effect of accommodation, transportation and food service prices on interest in travel in Tulungagung. This research is a quantitative study using primary data for 2015-2022 obtained from the Central Bureau of Statistics (BPS). The method used uses quantitative methods with data collection using questionnaires. Based on research that has been conducted on the effect of accommodation, transportation, and the price of food services on interest in travel (case study...
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Pengaruh Motivasi Kerja dan Beban Kerja terhadap Kinerja Karyawan di CV Brother Online Stationery
Wawasan : Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahan
Vol 2
, No 4
(2024)
This research aims to determine the effect of work motivation and workload on employee performance at CV Brother Online Stationery. The sampling method used in this study was saturated sampling, where the total population consisted of all 34 employees of CV Brother Online Stationery. The data analysis method employed multiple linear regression tests. Partial hypothesis testing using the t-test indicates that work motivation and workload have a positive and significant effect on employee performa...
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Aspek Spiritualitas Pasien Chronic Kidney Disease (CKD) Yang Menjalani Hemodialisis Di Rumah Sakit Islam Fatimah Cilacap
Trends Of Nursing Science
Vol 2
, No 1
(2024)
Chronic Kidney Disease (CKD) atau gagal ginjal kronik dari tahun ke tahun semakin meningkat. Berdasarkan data hasil riset kesehatan dasar (Riskesdas) tahun 2018, Indonesia mengalami peningkatan penderita Chronic Kidney Disease (CKD) sebanyak 1,8% sejak 2013. Pada gagal ginjal yang sudah stadium akhir atau end stage renal disease (ESDR) memerlukan terapi ginjal pengganti yaitu hemodialisis. Masalah spiritual merupakan salah satu masalah yang sangat penting bagi pasien yang menderita penyakit kron...
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Keputusan Pembelian Mahasiswa di Shopee karena Electronic Word of Mouth (E-WOM) dan Brand Image (Studi pada Fakultas Ekonomika dan Bisnis Universitas 17 Agustus 1945 Semarang)
Jurnal Ilmiah Serat Acitya
Vol 13
, No 2
(2024)
Penelitian ini bertujuan untuk mengetahui pengaruh Electronic Word of Mouth dan Brand Image terhadap Keputusan Pembelian di Shopee. Populasi penelitian ini adalah mahasiswa fakultas ekonomika dan bisnis Universitas 17 Agustus 1945 Semarang Kelas regular pagi yang berjumlah 312 mahasiswa. Sampel diambil berdasarkan Mahasiswa FEB Universitas 17 Agustus 1945 Semarang kelas regular pagi; mempunyai aplikasi dan akun shopee; dan pernah berbelanja di marketplace shopee sebanyak 80 orang. Teknik analisi...
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Implementing Long Short Term Memory (LSTM) in Chatbots for Multi Usaha Raya
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 6
, No 4
(2024)
The furniture industry is an important sector in Indonesia that supports the economy and provides quality furniture. An in-depth understanding of the furniture business is essential for industry players to improve operational efficiency and customer satisfaction. This research aims to develop a chatbot for Multi Usaha Raya furniture company to improve customer service and operational efficiency. In its development, the Machine Learning Model Development Life Cycle (MDLC) and deep learning approa...
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2 Sitasi
Advances in Deep Learning for Skin Cancer Diagnosis
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 6
, No 4
(2024)
The most prevalent type of cancer worldwide is known as skin cancer. Early detection is critical because if left undiagnosed in the primary stage, it might be fatal. Although there are differences within the class and high inter-class similarities, it is too difficult to distinguish with the naked eye. Owing to the disease's global prevalence, a number of deep learning based automated systems were created thus far to help doctors identify skin lesions early on. Using pre-trained ImageNet weights...
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1 Sitasi