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Pengaruh Pemberian Jus Buah Naga (Hylocorheus Polyhiruz) Terhadap Kadar Kolestrol Total Pada Lansia Di Posbindu Kebayoran Lama Utara Jakarta Selatan Tahun 2024
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 2
, No 1
(2024)
Cholesterol is a fatty substance that circulates in the body which is produced by the liver and is very important for the body. Excessive cholesterol in the blood will first cause problems in the blood vessels and brain. The aim of this study was to determine the effect of giving dragon fruit juice on total cholesterol levels in the elderly at Posbindu Kebayoran Lama Utara, South Jakarta. The research method used a pre-experimental pre-post-test group design including administration of dragon fr...
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Physical- Chemical Characteristics And Antioxidants Ice Cream From Combination of Goat Milk and Black Soy Milk: Karakteristik Fisik dan Kimia serta Antioksidan Es Krim Kombinasi Susu Kambing dan Susu Kedelai Hitam
JITIPARI (Jurnal Ilmiah Teknologi dan Industri Pangan UNISRI)
Vol 9
, No 1
(2024)
This research aims to determine the physical and chemical, and antioxidant qualities of the combination of goat milk and black soy milk. This method used x+y+z formulation by combining goat milk and black soy milk which were the main ingredients in making ice cream. Ice cream was measured for physical quality (melting point and overrun); chemical (total solids and fat content, free fatty acids); and antioxidant qualities. The results showed that giving black soy milk can lower the melting point...
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Pendampingan Penyusunan Pencatatan Keuangan Sederhana Bagi Usaha Mikro dan Kecil (UMK) Olahan Makanan di Desa Polengan, Kec. Srumbung, Kab. Magelang
The Community
Vol 1
, No 2
(2024)
The purpose of this community service activity is to provide knowledge and skills to micro small business actors in Polengan village, Srumbung District, Magelang Regency. The implementation method is assistance in the preparation of simple financial statements, the implementation team carries out this activity focusing on increasing basic knowledge about the preparation of simple financial statements. Assistance is carried out with bookkeeping materials and the preparation of accounting and fina...
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DAMPAK PENERAPAN DIGITAL MARKETING PADA PENGEMBANGAN BISNIS (STUDI KASUS PADA USAHA KULINER NYAMM AYAM DI SALATIGA)
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 3
, No 1
(2024)
Perkembangan Teknologi Informasi yang pesat menyebabkan munculnya berbagai model digital marketing, yang diharapkan memiliki dampak signifikan bagi perkembangan sebuah usaha. Penelitian ini bertujuan untuk mengamati sejauh mana pengaruh penerapan model digital marketing terhadap perkembangan peningkatan sebuah usaha. Studi kasus dilakukan pada bisnis kuliner Nyamm Ayam di Salatiga, yaitu sebuah bisnis yang melayani penjualan masakan ayam dengan berbagai kreasi dan menu pilihan dengan cita rasa n...
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2 Sitasi
THE APPLICATION OF CONTEXTUAL TEACHING AND LEARNING (CTL) IN TEACHING AND LEARNING READING FOR THE ELEVENTH GRADE STUDENTS OF SMA N 1 JATINOM
Widya Wacana: Jurnal Ilmiah
Vol 19
, No 1
(2024)
The study aims to answer the question which becomes a problem of this study: “How is the application of the Contextual Teaching and Learning (CTL) in teaching and learning reading for the eleventh grade students of SMA N 1 Jatinom?â€. The data are collected through observation, interview, and documentation in the process of the implementation of the Contextual Teaching and Learning (CTL) learning method. This study uses four steps to analyze data, namely data collection, data reduction, data...
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A Comparative Analysis of Generative Artificial Intelligence Tools for Natural Language Processing
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Generative artificial intelligence tools have recently attracted a great deal of attention. This is because of their huge advantages, which include ease of usage, quick generation of answers to requests, and the human-like intelligence they possess. This paper presents a vivid comparative analysis of the top 9 generative artificial intelligence (AI) tools, namely ChatGPT, Perplexity AI, YouChat, ChatSonic, Google's Bard, Microsoft Bing Assistant, HuggingChat, Jasper AI, and Quora's Poe, paying a...
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55 Sitasi
A GCC Artificial Food Additives Management based Mobile Application Development
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Artificial food additives pose significant health risks to Gulf Cooperation Council (GCC) citizens despite regional authorities' extensive medical, legislative, and technological efforts. Literature highlights the detrimental impacts of these additives, including malnutrition, digestive disorders, respiratory problems, skin issues, hives, nausea, diarrhea, shortness of breath, allergic reactions, high blood pressure, and tumors. The research project at hand aims at becoming the first official an...
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The Effect of Tax Planning and Good Corporate Governance on Firm Value of Energy Sector Companies Listed on Indonesia Stock Exchange 2020-2022
Dinamika Akuntansi Keuangan dan Perbankan
Vol 12
, No 2
(2024)
This analysis aims to examine the influence of tax planning and GCG on firm value in sector energy companies listed on the IDX for the period 2020-2022. The independent variable uses tax planning and GCG, while the dependent variable is firm value. Data obtained from consolidated financial reports of energy sector companies listed on the IDX for three research periods, namely 2020 - 2022, so that 51 samples were obtained for processing. Multiple liniear regression analysis was carried out...
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Dataset Analysis and Feature Characteristics to Predict Rice Production based on eXtreme Gradient Boosting
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Rice plays a vital role as the main food source for almost half of the global population, contributing more than 21% of the total calories humans need. Production predictions are important for determining import-export policies. This research proposes the XGBoost method to predict rice harvests globally using FAO and World Bank datasets. Feature analysis, removal of duplicate data, and parameter tuning were carried out to support the performance of the XGBoost method. The results showed excellen...
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Exploring DQN-Based Reinforcement Learning in Autonomous Highway Navigation Performance Under High-Traffic Conditions
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Driving in a straight line is one of the fundamental tasks for autonomous vehicles, but it can become complex and challenging, especially when dealing with high-speed highways and dense traffic conditions. This research aims to explore the Deep-Q Networking (DQN) model, which is one of the reinforcement learning (RL) methods, in a highway environment. DQN was chosen due to its proficiency in handling complex data through integrated neural network approximations, making it capable of addressing h...
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