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SSRN 2024年

作者： Wijayanto, Arif Kurnia Prasetyo, Lilik Budi Hudjimartsu, Sahid Agustian Sigit, Gunardi Hongo, Chiharu Department of Forest Resource Conservation and Ecotourism Faculty of Forestry and Environment IPB University Bogor16680 Indonesia Ronpaku Fellow Tokyo102-0083 Japan Environmental Research Center IPB University Bogor16680 Indonesia Study Program of Information Technology Faculty of Science and Engineering Ibn Khaldun University Bogor16129 Indonesia Regional Office of Food Crops Service West Java Province Cianjur43283 Indonesia Chiba University Chiba263-8522 Japan

Detecting Bacterial Leaf Blight (BLB) in paddy fields is one of the essential issues in Indonesia to prevent losses in rice production. This study reports the effectiveness of textural analysis using drone-acquired data over paddy fields in West Java, evaluating the potential of integrating textural and thermal characteristics. We used drone data combined with machine learning techniques to distinguish different levels of BLB impact. The normalized difference texture index derived from Haralick textural features was used as a predictor. The findings revealed that incorporating textural features enhanced the disease detection accuracy significantly compared with the traditional approach based on spectral indices. The random forest algorithm, which merges texture and vegetation indices, achieved a classification accuracy of 0.984. The proposed method offers a robust, noninvasive solution for BLB disease detection, contributing substantially to safeguarding crop yields and mitigating global food security issues. © 2024, The Authors. All rights reserved.

关键词： Drones

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Techno-Economic Analysis of Bioethanol Production from Sugarcane Bagasse in Indonesia

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SSRN 2023年

作者： Aditiya, H.B. Riayatsyah, Teuku Meurah Indra Chitra, I.S.N. Ong, Hwai Chyuan Silitonga, A.S. Mahlia, T.M. Indra Department of Mechanical Engineering Faculty of Engineering Sampoerna University Jakarta Indonesia Sampoerna University Energy Research Center Pancoran Jakarta Selatan12780 Indonesia School of Civil & Environmental Engineering University of Technology Sydney 81 Broadway UltimoNSW2007 Australia Department of Mechanical Engineering National Yunlin University of Science and Technology Touliu Yunlin64002 Taiwan Program Study of Mechanical Engineering Department of Production and Industrial Technology Institut Teknologi Sumatera South Lampung 3536 Indonesia Future Technology Research Center College of Engineering National Yunlin University of Science and Technology Douliou Yunlin64002 Taiwan Centre for Technology in Water and Wastewater School of Civil and Environmental Engineering Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia Center of Renewable Energy Department of Mechanical Engineering Politeknik Negeri Medan Medan20155 Indonesia

The studies of bioethanol production are being intensively explored over the past years in the provision of biofuel. This has been long recognized as the best alternative for a renewable energy resource to overcome the problem of the depletion of fossil resources. Indonesia's main agricultural sector, sugarcane industry, has shown promise in supplying sugarcane bagasse (SCB) as a feedstock for the second generation of bioethanol production. In this study, the techno-economic analysis of the sugarcane bagasse from the bioethanol production plant was explored, and the viability of bioethanol production based on the biomass generated from a local sugarcane factory was evaluated. All the costs that will be incurred during a 20-year operating period for a 203 ktons bioethanol production plant from SCB is $231 million, with a payback period of 6.19 years. The potential amount of bioethanol produced from SCB of this plant is 30.19 ML/year with the production cost (levelized cost of bioethanol, LCOB) of $0.59 per liter of ethanol produced. Overall, SCB bioethanol still carries better competitiveness at lower selling price in comparison with the latest price regulation by the Indonesian government ($0.85/L). © 2023, The Authors. All rights reserved.

关键词： Life cycle

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Comparison heuristics method for solving two echelon vehicle routing problem

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AIP Conference Proceedings 2024年第1期3029卷

作者： Muhammad Khahfi Zuhanda Saib Suwilo Opim Salim Sitompul Mardiningsih Informatics Engineering Study Program Faculty Engineering Universitas Medan Area Medan Indonesia Department of Mathematics Universitas Sumatera Utara Medan Indonesia Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

Today, almost everyone has done online shopping activities. The presence of e-commerce makes it easier for humans to do shopping. E-commerce companies compete to provide the best service to the community. One of them is in the delivery within the city. In terms of city delivery, the 2E-VRP model has been discussed a lot lately in terms of consolidating shipments. This study aims to present the 2E-VRP mathematical model and work in two stages to find a solution. In this article, the author also compares solutions with several heuristic models including 2-opt, repetitive nearest neighbor, nearest neighbor, farthest insertion, cheapest insertion, arbitrary insertion, and nearest insertion. From the results of research conducted by the 2-opt method, farthest insertion, cheapest insertion, and nearest insertion, the total distance is the best, all three get the same distance, then followed by the nearest insertion, arbitrary insertion, and nearest insertion methods.

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Performance LoRa Technology for Autonomous Vehicles

Performance LoRa Technology for Autonomous Vehicles

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International Seminar on Intelligent Technology and Its Applications (ISITIA)

作者： Puput Dani Prasetyo Adi Iwan Purnama Arfanda Anugrah Siregar Angga Putra Juledi Firman Edi Abdul Karim Yuyu Wahyu Fairuz Iqbal Maulana Suhardi Atmoko Budi Susilo Toni Ilham Maliki Harahap Lintang Patria National Research and Innovation Agency (BRIN) Bandung Indonesia Faculty of Science and Technology Labuhanbatu University Labuhanbatu North Sumatra Indonesia Telecommunication Engineering Study Program Politeknik Negeri Medan Medan City North Sumatra Indonesia Department of Engineering Management Faculty of Industrial Technology Batam Institute of Technology Batam City Riau Islands Indonesia Department of Information Technology Budi Darma University Medan North Sumatra Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Faculty of Teacher Training and Education Labuhanbatu University Labuhanbatu North Sumatra Indonesia Faculty of Engineering Universitas Terbuka Jakarta Indonesia

This research is an approach to intelligent vehicles with a LoRa communication system, LoRaWAN compatible for Long-Range and Outdoor Communication, but in this paper, we will test the ability of LoRa to handle autonomous vehicles, a Blind-Adaptive Data method will be tried on vehicles systems. The system offered is when the vehicle is running, the sensor will send position data in real-time, the number of vehicles is four, and GPS data is sent alternately using the Blind Adaptive Data Rate principle to avoid data collisions, and when the GPS shows a certain position, the value of SF is ascertained, which affects the data rate and ToA, and the output given is RSSI on each car, speed of a car, power consumption of sensor nodes, signal power, SNR, Bit rate or data rate, and sensitivity. With the Blind ADR principle, it is ensured that there is no data collision between car position data that causes packet loss.

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用于糖尿病培训的大型语言模型:一项前瞻性研究（英文）

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Science Bulletin 2025年第6期 934-942页

作者：李灏萱江泽铧管洲榆包玉倩刘月星胡婷婷李佳佳刘茹涵吴量程棣纪宏伟王勇王亚星 Carol Y.Cheung 郑颖丰王继红李震吴卫兵 Cynthia Ciwei Lim Yong Mong Bee Hong Chang Tan Elif I.Ekinci David C.Klonoff Justin B.Echouffo-Tcheugui Nestoras Mathioudakis Leonor Corsino Rafael Simó Charumathi Sabanayagam Gavin Siew Wei Tan 程景煜黄天荫李华婷蔡淳毛丽娟 Lee-Ling Lim 覃宇宗盛斌贾伟平 Shanghai University of Sport School of Clinical Medicine Beijing Tsinghua Changgung Hospital Tsinghua Medicine Tsinghua University Beijing Visual Science and Translational Eye Research Institute(BERI) Tsinghua Medicine Tsinghua University Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases Department of Computer Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Department of Endocrinology and Metabolism Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai Diabetes Institute Shanghai Clinical Center for Diabetes MoE Key Lab of Artificial Intelligence Artificial Intelligence Institute Shanghai Jiao Tong University Department of Cardiology the Affiliated Hospital of Qingdao University CEMS NCMIS HCMS MADIS Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematics University of Chinese Academy of Sciences Chinese Academy of Sciences Key Laboratory of Systems Health Science of Zhejiang Province School of Life Science Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Beijing Institute of Ophthalmology Beijing Tongren Hospital Capital Medical University Beijing Ophthalmology and Visual Sciences Key Laboratory Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-sen University Guangdong Provincial Key Laboratory of Ophthalmology and Visual ScienceGuangdong Provincial Clinical Research Center for Ocular Diseases Department of Renal Medicine Singapore General Hospital Sing Health-Duke Academic Medical Centre Department of Endocrinology Singapore General Hospital Department of Endocrinology Austin Health Department of Medicine The University of Melbourne(Austin Health) Australian Centre for Accelerating Diabetes Innovations(ACADI) The Univ

Diabetes poses a considerable global health challenge, with varying levels of diabetes knowledge among healthcare professionals, highlighting the importance of diabetes training. Large Language Models(LLMs)provide new insights into diabetes training, but their performance in diabetes-related queries remains uncertain, especially outside the English language like Chinese. We first evaluated the performance of ten LLMs: Chat GPT-3.5, Chat GPT-4.0, Google Bard, Lla MA-7B, Lla MA2-7B, Baidu ERNIE Bot, Ali Tongyi Qianwen, Med GPT, Huatuo GPT, and Chinese Lla MA2-7B on diabetes-related queries, based on the Chinese National Certificate Examination for Primary Diabetes Care in China(NCE-CPDC) and the English Specialty Certificate Examination in Endocrinology and Diabetes of Membership of the Royal College of Physicians of the United Kingdom. Second, we assessed the training of primary care physicians(PCPs) without and with the assistance of Chat GPT-4.0 in the NCE-CPDC examination to ascertain the reliability of LLMs as medical assistants. We found that Chat GPT-4.0 outperformed other LLMs in the English examination, achieving a passing accuracy of 62.50%, which was significantly higher than that of Google Bard, Lla MA-7B, and Lla MA2-7B. For the NCE-CPFC examination, Chat GPT-4.0, Ali Tongyi Qianwen, Baidu ERNIE Bot, Google Bard, Med GPT, and Chat GPT-3.5 successfully passed, whereas Lla MA2-7B, Huatuo GPT,Chinese LLa MA2-7B, and Lla MA-7B failed. Chat GPT-4.0(84.82%) surpassed all PCPs and assisted most PCPs in the NCE-CPDC examination(improving by 1%–6.13%). In summary, LLMs demonstrated outstanding competence for diabetes-related questions in both the Chinese and English language, and hold great potential to assist future diabetes training for physicians globally.

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Content design: e-learning module for study on cultural tourism information systems based on local wisdom

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Journal of Physics: Conference Series 2020年第1期1516卷

作者： I M Pageh A A J Permana Historical Education Faculty of Law and Social Sciences Ganesha University of Education Singaraja Indonesia Information Technology Department Informatics Management Study Program Faculty of Engineering and Vocational Ganesha University of Education Singaraja Indonesia

Facing the 4.0 industrial revolution, it is necessary to carry out reforms and innovations related to national education. Reforms and innovations in the implementation of components of the education system involve changes in curriculum, graduate competencies and assessments, teacher qualifications, funding, facilities and infrastructure, decentralization and educational autonomy. Bali as a world tourist destination must be maintained and passed on to the younger generation. The younger generation can use information technology to help promote Balinese culture. Bali has a lot of local wisdom that can be implemented in the tourism sector. Therefore to promote those local wisdoms, a module that can be accessed through e-learning is developed to help students develop a cultural tourism package based on local wisdom to be promoted online. The modules developed have been tested by content and media experts, which can be used independently by students. Modules can be accessed online at e-learning and they are ready to use instructions for students so they can work on assignments and projects independently. Modules containing this theory and practice are for making brochures, tour packages, videos, and websites, all of which are connected to promote tourism based on local Balinese wisdom.

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Analysis validation of gamification fashion photography

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IOP Conference Series: Materials Science and engineering 2021年第2期1098卷

作者： S C Wibawa D E Dermawan N G A G E Martiningsih M Mashudi C In Information Technology Informatics Engineering Universitas Negeri Surabaya 60231 Indonesia Faculty of Agriculture Universitas Mahasaraswati Denpasar Bali Indonesia Islamic Education Study Program The State Islamic Institute of Jember (IAIN) Indonesia 68136

The objectives of this study are: 1) developing game interactive for learning photography in fashion, 2) analysis validation of the application. Development of game using the R&D method with Hannafin and Peck Adaptation, which includes several stages, namely needs analysis, design, development, and implementation. In this case, the game can be applied in fashion education student who takes related computer courses in fashion photography. The result of this research are applications about the game of learning how to photograph and the object in Fashion. Analysis validation such as validation value for the aspect of media display obtained 94% results, for the programming aspect it obtained a validation result of 90%, while for the benefit aspect it obtained a value of 90% for the usefulness of media. Based on the average of all components of the instrument question obtained a percentage of 92%. It can be concluded that the media used can help replace the role of lecturers in learning, and students can play the role of a fashion photographer.

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Rapid and non-destructive determination of vitamin C and antioxidant activity of intact red chilies using visible near-infrared spectroscopy and machine learning tools

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Case Studies in Chemical and Environmental engineering 2023年 8卷

作者： Devianti Sufardi Hafsah, Siti Sariadi Ahmad, Fachraniah Arianti, Nunik Destria Saputra, Edo Hartuti, Sri Department of Agricultural Engineering Faculty of Agriculture Syiah Kuala University Banda Aceh 23111 Indonesia Department of Soil Science Faculty of Agriculture Universitas Syiah Kuala Banda Aceh 23111 Indonesia Department of Agrotechnology Faculty of Agriculture Universitas Syiah Kuala Banda Aceh 23111 Indonesia Department of Chemical Engineering Politeknik Negeri Lhokseumawe Lhokseumawe 24301 Indonesia Department of Information System Nusa Putra University Sukabumi 43155 Indonesia Department of Agricultural Technology Faculty of Agriculture Universitas Riau Pekanbaru 28293 Indonesia Agricultural Engineering Study Program IPB University Bogor 16680 Indonesia

Red chili peppers are extensively used in the culinary industry due to their high vitamin C, antioxidant content, spice, and natural colorant properties. Traditional methods for determining these parameters are time-consuming and unstable. This study investigates the viability of visible near-infrared spectroscopy as a rapid and nondestructive method for determining vitamin C content and antioxidant activity in intact red chilies. Visible near-infrared spectroscopy measures the sample's light absorption, proportional to its chemical composition. Collecting intact red chili samples from various sources and determining their vitamin C content and antioxidant activity using conventional methods were required for the study. The visible near-infrared spectra of the pieces were collected using a spectrometer, and chemometric models were devised to correlate the spectra with the vitamin C content and antioxidant activity. Traditional methods were compared to visible near-infrared spectroscopy regarding their performance of prediction. In conjunction with chemometric models and machine learning algorithms, visible near-infrared spectroscopy could accurately predict red chilies' vitamin C content and antioxidant activity. The developed models exhibited high calibration and prediction coefficients, low root mean square errors, and high prediction-to-deviation ratios. The identified absorption peaks in the visible near-infrared spectra were related to the samples' color pigments and water content. This study demonstrates the feasibility of visible near-infrared spectroscopy as a rapid and nondestructive method for determining the vitamin C content and antioxidant activity of intact red chilies. The findings may have significant ramifications for the food industry, providing a more efficient and secure quality control and nutritional labeling method. It is recommended that additional research and validation be conducted to ensure the applicability of the developed models to var

关键词： Chemometrics tools Machine learning Red chilies Spectroscopy

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An assessment of high carbon stock and high conservation value approaches in mining area

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IOP Conference Series: Earth and Environmental Science 2021年第2期807卷

作者： S H Larekeng M Nursaputra Nasri A S Hamzah A S Mustari A R Arif A P Ambodo Y Lawang A Ardiansyah Laboratory of Biotechnology Forestry Engineering Study Program Faculty of Forestry Universitas Hasanuddin Makassar 90245 Indonesia Laboratory of Forestry Planning and Information System Forestry Science Study Program Faculty of Forestry Universitas Hasanuddin Makassar 90245 Indonesia Laboratory of Conservation of Forest Resources and Ecotourism Forestry Science Study Program Faculty of Forestry Universitas Hasanuddin Makassar 90245 Indonesia Faculty of Engineering Universitas Hasanuddin Gowa 91711 Indonesia Faculty of Mathematics and Natural Sciences Universitas Hasanuddin Makassar 90245 Indonesia Vale Indonesia Sorowako East Luwu 92983 Indonesia

The impact of forest degradation due to open-pit mining activities causes sustainable ecological damage. Mining activities that are not organized due to the mineral exploration process have resulted in many forest areas experiencing degradation. This degradation certainly reduces the level of carbon sequestration in the area, impacting the sustainability of environmental functions around the mining area. The high carbon stock (HCS) approach is a way to help companies implement their 'no deforestation' commitments. The high carbon stock approach will identify forests that must be protected and land that can be developed. Forests with high carbon stocks are maintained because they function as carbon stores, habitats for biodiversity, and provide the necessities of life for local communities. Therefore, this study aims to obtain data on the potential for carbon stocks and create a spatial model for distributing carbon content in the concession area of PT. Vale Indonesia can later be determined as high conservation value (HCV) areas using the high carbon stock approach. Measurement of carbon content in the study used an allometric equation that has been developed, then the distribution of carbon was made using the spatial vegetation index model obtained from Sentinel 2 imagery. The results showed an area of 30,526.49 (42.97%), which had high carbon stock with an average carbon stock of 106.09 ton/ha, which needed to be maintained as an area of high conservation value in the mining area of PT. Vale Indonesia.

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Numerical Simulation of Spear Motion as Game Items

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Journal of Physics: Conference Series 2020年第1期1445卷

作者： R R Muhima S Mardi M Hariadi I Puspitasari Informatics Engineering Department ITATS Arief Rachman Hakim 100 Surabaya Indonesia Electrical Engineering Department Sepuluh Nopember Institute of Technology Indonesia Information System Study Program Faculty of Science and Technology Universitas Airlangga Jl. Mulyorejo Surabaya 60115 Indonesia

Game development in 3D is mostly done by characters, items and the environment. Game items such as character weapons modeled in 3D will be the attraction of a game. In this paper, spear motion as a game items is modeled in 3D. Nonlinear Equations Six Degrees of Freedom (6 DOF) are used for mathematical models of spear motion. The parameters studied in the motion model are: geometry, mass and aerodynamics. Spear aerodynamic parameters were analyzed using the Datcom method. Numerical simulation of mathematical models of spear motion with variations in the initial velocity of the throw and the direction of the throw. From the results of numerical simulation, the maximum range R = 131.7 m at the initial velocity V0 = 40 m/s, the direction of throw (angle θ0 = 35 deg, angle 0 = 10 deg, ψ0 = 0 deg). And the maximum height Hmax = 12.18 m is achieved at the initial velocity V0 = 20 m/s, direction of throw (angle θ0 = 35 deg, angle 0 = 40 deg, angle ψ0 = 0 deg).

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