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Menampilkan 1611–1620 dari 3692 artikel
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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Pengaruh Penambahan Jamur Kuping Hitam (Auricularia Polytricha) Terhadap Sifat Kimia dan Organoleptik Nugget Ikan Tongkol Abu-Abu (Thunnus Tonggol)
Jurnal Agrifoodtech
Vol 2
, No 2
(2024)
Fish nuggets are a food that is quite popular with people because they contain high nutrition. Addition of black ear mushrooms to gray tuna nuggets to increase nutritional value and crude fiber content and acceptability. This study aims to determine the effect of the correct concentration of black ear fungus on chemical and organoleptic properties. This research was conducted using a completely randomized design method (CRD) with 4 treatments at the concentration of addition of black ear fungus...
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Penguatan Legalitas Produk Pangan Halal Pada UMKM Menuju Terwujudnya Ketahanan Pangan
Jurnal Agrifoodtech
Vol 2
, No 2
(2024)
The improvement of food resilience in Indonesia, especially in the context of Micro, Small, and Medium Enterprises (UMKM) household industries, is a primary focus to achieve optimal food resilience. This write-up is a literature review related to the empirical phenomenon surrounding the issue of halal food products, discussing the strengthening of the legal aspects of halal food products in MSME household industries as a strategic step towards optimal food resilience. Halal food products are an...
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Pengaruh Ketinggian Lokasi Penanaman Terhadap Sifat Kimia dan Sensori Citarasa Kopi Robusta (Coffea canephora L)
Jurnal Agrifoodtech
Vol 2
, No 2
(2024)
The chemical characteristics and sensory attributes of Robusta coffee are influenced by the environment of the coffee plant grows, one of the influencing factors is the altitude plantation locations. The aim of the research was to determine the effect of the land altitude of plantation location on the physicalchemical properties and sensory taste of Robusta coffee. This research used a Completely Randomized Design (CRD) with four (4) treatments based on altitude of the Robusta coffee plant...
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1 Sitasi
Identifikasi Uji Mutu Dan Sensori Kopi Bubuk
Jurnal Agrifoodtech
Vol 2
, No 2
(2024)
Coffe is one the plantation commodities that has high economic value and plays an important role as a source of foreign exchange for the country. The purpose of this study was to examine the quality test, tp determine whether there was a difference and to determine the content of water content, ash, alkalinity of the ash, coffee extract, caffeine and mineral Zinc (Zn) as well as the sensory test on ground coffe that met the requirements based on SNI 01-3542-2004. This research consisted of two r...
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PERANCANGAN DAN IMPLEMENTASI ENCODER DAN DECODER CRC-16 BERBASIS TABEL LOOKUP PADA ARDUINO
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 3
, No 1
(2024)
Deteksi kesalahan pada data yang dikirimkan melalui saluran komunikasi sangat penting untuk mendapatkan data yang akurat dan sistem komunikasi yang handal. Salah satu kode yang populer dan banyak digunakan sebagai kode pendeteksi kesalahan adalah Cyclic Redundancy Check (CRC). Penelitian ini bertujuan untuk merancang dan mengimplementasikan encoder dan decoder CRC-16 dengan polinomial 0x8005 pada platform Arduino IoT. Penghitungan nilai CRC-16 dilakukan menggunakan algoritma yang memanfaatkan ta...
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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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IMANoBAS: An Improved Multi-Mode Alert Notification IoT-based Anti-Burglar Defense System
Omede, Edith Ugochi
; Edje, Abel E
; Akazue, Maureen Ifeanyi
; Utomwen, Henry
; Ojugo, Arnold Adimabua
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Burglary involves forced or unauthorized entry, which leads to damage or loss of property having monetary or emotional value and, more severely, puts lives at risk. The dire need for the safety of lives and properties has attracted so much research on burglary alert system using Internet of Things (IoT) technology. Most of the research focused on alerting the users of burglary attempts using any or a combination of two notification methods: SMS, call, and email. This study emphasizes three-mode...
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22 Sitasi
Analisis Sistem Informasi Menajemen Terhadap Pengambilan Keputusan Pada Kantor Wilayah Badan Pertanahan Sumatera Utara
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 3
, No 1
(2024)
This research aims to analyze the role of the Management Information System (SIM) in supporting the decision-making process at the North Sumatra Land Agency Regional Office. This study explores the integration, reliability and contribution of information systems used in managing property and land information and their impact on the efficiency and effectiveness of decisions. The research methodology includes surveys of system users, interviews with top-level managers, and documentation of analyze...
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Machine Learning and Cryptanalysis: An In-Depth Exploration of Current Practices and Future Potential
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
The rapidly evolving landscape of cryptanalysis necessitates an urgent and detailed exploration of the high-degree non-linear functions that govern the relationships between plaintext, key, and encrypted text. Historically, the complexity of these functions has posed formidable challenges to cryptanalysis. However, the advent of deep learning, supported by advanced computational resources, has revolutionized the potential for analyzing encrypted data in its raw form. This is a crucial developmen...
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