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Menampilkan 1391–1400 dari 3335 artikel
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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Analisis System Application Product (SAP) di PTPN III Kebun Dusun Hulu
Profit: Jurnal Manajemen, Bisnis dan Akuntansi
Vol 3
, No 1
(2024)
This research uses a qualitative research method with a case study approach. In this research, researchers found that the technical system used for SAP at PTPN III Kebun Dusun Hulu has sufficient capacity and can work properly. However, some technical problems such as network errors, damage to hardware, or software that is not working properly can hinder the data input process. Based on the research results, researchers found that PTPN III Kebun Dusun Hulu had implemented sever...
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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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59 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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2 Sitasi
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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Correlation Analysis of Self-Concept and Interpersonal Communication Among Generation Z Nursing Students at Pre-Professional Nursing Practice
Gaster
Vol 22
, No 1
(2024)
Background: Interaction between people is facilitated by communication. The self concept might take on a positive or negative form. Gen Z is unique among current generations. Not just for the social structure they have come up in, but also for their spending habits, which differ from other generations. Objective: to investigate the possible relationship between generation Z nursing students' interpersonal communication skills and their self concept. Methods: A cross-sectional approach to correla...
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3 Sitasi
Identification of Social Media Posts Containing Self-reported COVID-19 Symptoms using Triple Word Embeddings and Long Short-Term Memory
Amalia, Raisa
; Lambung Mangkurat University
; Faisal, Mohammad Reza
; Universitas Lambung Mangkurat
; Indriani, Fatma
; Universitas Lambung Mangkurat
; Budiman, Irwan
; Universitas Lambung Mangkurat
; Mazdadi, Muhammad Itqan
; Universitas Lambung Mangkurat
; Abadi, Friska
; Universitas Lambung Mangkurat
; Mafazy, Muhammad Meftah
; Institut Teknologi Sepuluh Nopember
Telematika
Vol 17
, No 1
(2024)
The COVID-19 pandemic has permeated the global sphere and influenced nearly all nations and regions. Common symptoms of this pandemic include fever, cough, fatigue, and loss of sense of smell. The impact of COVID-19 on public health and the economy has made it a significant global concern. It has caused economic contraction in Indonesia, particularly in face-to-face interaction and mobility sectors, such as transportation, warehousing, construction, and food and beverages. Since the pandemic beg...
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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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33 Sitasi
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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5 Sitasi
Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Dpmptsp Kota Salatiga Menggunakan Moora (Multi-Objective Optimization By Ratio Analysis)
Jurnal Ilmiah Sains dan Teknologi
Vol 6
, No 01
(2024)
Proses penilaian kinerja pegawai pada DPMPTSP Kota Salatiga dilakukan secara manual dengan menggunakan form yang sudah ditetapkan dengan kriteria penilaian kinerja yaitu nilai SKP, orientasi pelayanan, integritas, komitmen, disiplin, kerjasama, dan kepemimpinan. Pelaksanaan penilaian kinerja pegawai mengalami kendala untuk penentuan pegawai yang mendapatkan penghargaan. Mengingat jumlah pegawai yang banyak dan proses evaluasi kinerja pegawai yang cukup rumit dengan banyaknya kriteria menyebabkan...
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