2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA)最新文献

ICOSICA 2020 Breaker Page ICOSICA 2020断路器页面

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/icosica49951.2020.9243284

引用次数: 0

A Design of Traceability System in Coffee Supply Chain based on Hierarchical Cluster Analysis Approach 基于层次聚类分析方法的咖啡供应链溯源系统设计

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/ICOSICA49951.2020.9243203

I. G. M. T. Pradana, Taufik Djatna

{"title":"A Design of Traceability System in Coffee Supply Chain based on Hierarchical Cluster Analysis Approach","authors":"I. G. M. T. Pradana, Taufik Djatna","doi":"10.1109/ICOSICA49951.2020.9243203","DOIUrl":"https://doi.org/10.1109/ICOSICA49951.2020.9243203","url":null,"abstract":"Traceability systems are a concern in the current food supply chain mainly due to food safety issues. Related traceability problem in the supply chain is the risk of changes in the information on coffee products presented on the consumer’s side, thereby reducing their trust in information and customer loyalty on the product. This study aims to analyze the business process of the real-world situation in coffee commodity supply chains, generate a dataset from these observations, and to propose a traceability system design using the clustering approach. The methodology in this research consisted of field observation and desk study, multicollinearity analysis, and hierarchical cluster analysis and formulation. The results show that the activities occurring in the coffee commodity supply chain take place between 4 stakeholders, which is indicated by UML. The generated dataset is then compared in correlation so that four variables are selected to use as references in designing the traceability system. Finally, the clustering method shows 4 clusters, where every 2 clusters in 2 existing varieties. The resulting cluster has been able to interpret as much as 84.83% of the dataset tested.","PeriodicalId":337023,"journal":{"name":"2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126978859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

GPUs Utilization of Residual Network Training for Colon Histopathological Images Classification 残差网络训练在结肠组织病理图像分类中的gpu利用

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/ICOSICA49951.2020.9243276

Toto Haryanto, A. M. Arymurthy, H. Suhartanto, K. Kusmardi

{"title":"GPUs Utilization of Residual Network Training for Colon Histopathological Images Classification","authors":"Toto Haryanto, A. M. Arymurthy, H. Suhartanto, K. Kusmardi","doi":"10.1109/ICOSICA49951.2020.9243276","DOIUrl":"https://doi.org/10.1109/ICOSICA49951.2020.9243276","url":null,"abstract":"Cancer is still one of the diseases with a high mortality rate in the world. Histopathological image is one image that can be used to analyze the presence of Cancer in the human body. The deep learning approach as state of the art was conducted by researchers to investigate the image of Cancer. One of the deep learning architectures is Residual Network (ResNet). This architecture has the characteristics of additional input on the layer, when the training process which has an impact on the memory and processor extension during the training process. In this work, we propose the parallelization of the ResNet model by using three GTX-1080 of Graphics Processing Units (GPUs) to carry out the training process. The performance of all three GPUs can be seen from the utilization of the GPU processor and memory and speed up during the training. The advantage of using parallelization with multiple GPUs is to overcome the out of memory in larger batch-size usage that cannot be handled by the use of a single GPU. This study uses various batch-sizes ranging from 8,16,24 and 32 as research scenarios. The results showed that the utilization of processor and memory is more efficient for larger batch-size. As a result, the average utilization of processors for GPU 1, 2, and 3 is 66%, 61.5%, and 81.5%, respectively. Meanwhile, memory GPU utilization is 44%, 40%, and 48.2%.","PeriodicalId":337023,"journal":{"name":"2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129115166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Dynamic Route Optimization For Waste Collection Using Genetic Algorithm 基于遗传算法的垃圾收集动态路径优化

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/ICOSICA49951.2020.9243256

Abdullah Alwabli, I. Kostanic

{"title":"Dynamic Route Optimization For Waste Collection Using Genetic Algorithm","authors":"Abdullah Alwabli, I. Kostanic","doi":"10.1109/ICOSICA49951.2020.9243256","DOIUrl":"https://doi.org/10.1109/ICOSICA49951.2020.9243256","url":null,"abstract":"This study shows how the process of allocating dynamic routes to vehicles in waste collection companies results in wastage of resources and time. The purpose of the study is to find suitable algorithm that can be used to generate optimized dynamic routes for the vehicle routing problem (VRP). The study is based on Alawali District in Mecca City where there are a total of 52 waste collection points including a depot and a delivery point. The coordinates of all these waste collection points were collected and their distances from each other determined to find out the shortest route that can be used by a vehicle to collect wastes in the whole district at a reduced cost. The algorithm used in this study is the Genetic Algorithm (GA). GA was chosen because of its reliability in when compared with the rest of the metaheuristic algorithms that could be used to optimize a VRP for any dynamic route setup. The study focused on utilizing the dynamic route optimization with the VRP, which was solved through the incorporation of the Hamiltonian path and the GA. The study was carried out on two vehicles (A and B), and the total cost of fuel, time taken, and the total distance covered by the two vehicles at the end of every route recorded. The results obtained from GA showed that the total fuel cost for vehicle A and B was $7.3, total time taken by the two vehicles was 2 hours and 45 minutes, and the total distance covered by the two vehicles was 68.57 miles. These results were the most reliable of all metaheuristic algorithms. Therefore, GA was chosen as the best algorithm to optimize a VRP for any route setup because it gave the least fuel consumption, the shortest time, and the shortest distance when compared to the rest of the algorithms as depicted by the results.","PeriodicalId":337023,"journal":{"name":"2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131139449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

ICOSICA 2020 Committees ICOSICA 2020 委员会

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/icosica49951.2020.9243207

引用次数: 0

Comparison of Machine Learning Models For Rainfall Forecasting 降雨预报的机器学习模型比较

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/ICOSICA49951.2020.9243275

Nazli Mohd Khairudin, N. Mustapha, T. N. M. Aris, M. Zolkepli

引用次数: 6

Development of Back-end of a Rural Participation Based Knowledge Management System of Smallholder Palm Plantation 基于农村参与的小农棕榈种植园知识管理系统后端开发

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/ICOSICA49951.2020.9243252

I. Hermadi, Andi Muhammad Chaerul Hafidz, Auzi Asfarian, Yani Nurhadryani, Nadya Farchana Fidaroina

引用次数: 0

The Potential for Implementing a Big Data Analytic-based Smart Village in Indonesia 在印度尼西亚实施基于大数据分析的智慧村的潜力

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/ICOSICA49951.2020.9243265

E. T. Tosida, Y. Herdiyeni, Suprehatin Suprehatin, Marimin Marimin

{"title":"The Potential for Implementing a Big Data Analytic-based Smart Village in Indonesia","authors":"E. T. Tosida, Y. Herdiyeni, Suprehatin Suprehatin, Marimin Marimin","doi":"10.1109/ICOSICA49951.2020.9243265","DOIUrl":"https://doi.org/10.1109/ICOSICA49951.2020.9243265","url":null,"abstract":"Smart village is one of the solutions to reduce poverty in rural areas. The main objective of this research is to map the potential implementation of the concept of smart villages based on big data analytics in Indonesia. This research was conducted through the elaboration of text mining-based Systematic Literature Review (SLR) with multiple regression analysis of the 2018 Village Potential Data in Indonesia. The contribution of this study is the production of a map describing the potential for implementing smart villages based on big data analytics in Indonesia. SLR cluster analysis produces a dendrogram that maps the basic terminology of smart villages based on big data analytic. Indonesia has quite substantial economic and social capital resources, which has a positive effect on the poor and farmers/fishermen (R2 = 0.9759 and 0.9482) in the villages. This occurs through a mix of regional budget revenue (APBD) and local self-subsistent (Swadaya) funding schemes in the management of agricultural and non-agricultural small businesses in the village. Indonesia also has sufficient capital for managing information and communication technology (ICT) in the village for the development of big data analytic smart villages. There is a relatively strong influence on the poor and farmers/fishermen (R2 = 0.5946 and 0.6006). Therefore, the challenge for future research to develop a smart village model based on big data analytics that is appropriate to the territory of Indonesia. This model needs to be elaborated with diverse factors including economic, social, cultural and smart educational potential as well should include indicators of the potential for data technology available on various media, through the framework of agriculture big data analytic.","PeriodicalId":337023,"journal":{"name":"2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117130741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Smart Governance for One-Stop-Shop Services of Bio-Business Licensing in Indonesia : a Literature Review 印尼生物商业许可一站式服务的智能治理:文献综述

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/ICOSICA49951.2020.9243297

Muhammad Mahreza Maulana, A. Suroso, Yani Nurhadryani, K. Seminar

{"title":"Smart Governance for One-Stop-Shop Services of Bio-Business Licensing in Indonesia : a Literature Review","authors":"Muhammad Mahreza Maulana, A. Suroso, Yani Nurhadryani, K. Seminar","doi":"10.1109/ICOSICA49951.2020.9243297","DOIUrl":"https://doi.org/10.1109/ICOSICA49951.2020.9243297","url":null,"abstract":"Business licensing management that is not integrated and fulfillment of commitments not in one place causes a long duration to fulfill business permit commitments. Therefore it is necessary to conduct a literature review related to the management of licensing services trying to increase the amount of investment in Indonesia. The purpose of this literature review is to get a picture of the implementation, the things that need to be considered to improve performance, and the steps in recommending business licensing services in Indonesia. The literature review stage includes studies related to the management of bio-business licensing services, studies related to one-stop-shop services or one-stop government, literature studies related to smart cities, specifically smart governance and literature studies on the application of ICT governance in government. From a literature review, it can be concluded that the application of bio-business licensing in Indonesia needs to fully implement the concept of one-stop-government by fulfilling integrated commitments, taking into account adoption factors, process transformation, and skill improvement. Besides paying attention to the objectives of implementing smart governance that is able to adapt to changes such as the increasing use of social media and the digitalization of the government system. And referring to the principles of ICT governance by aligning the objectives of government services with the application of sustainable ICT through monitoring the performance of business licensing service performance.","PeriodicalId":337023,"journal":{"name":"2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117283964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Tokocabai Marketplace Application based on Web Using Extreme Programming Method 利用极限编程方法实现基于Web的Tokocabai市场应用

2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA) Pub Date : 2020-09-16 DOI: 10.1109/ICOSICA49951.2020.9243214

M. Rachmaniah, Maya Maharani Krismanti, Muhammad Idzhar Darissalam

{"title":"Tokocabai Marketplace Application based on Web Using Extreme Programming Method","authors":"M. Rachmaniah, Maya Maharani Krismanti, Muhammad Idzhar Darissalam","doi":"10.1109/ICOSICA49951.2020.9243214","DOIUrl":"https://doi.org/10.1109/ICOSICA49951.2020.9243214","url":null,"abstract":"Chili is one of the horticultural commodities that is the biggest contributor to inflation for the Indonesian economy. This is caused by the high level of consumption of chili by the public, while the price of chili tends to fluctuate throughout the year. This can come from a variety of factors, one of which is the long chili product distribution chain. With the help of information technology that has developed rapidly, the problem of price fluctuations can be reduced by creating a digital market for buying and selling chili. The digital market can accelerate the process of chili transactions throughout Indonesia so that it can narrow the distribution chain. The application to be developed is a web-based marketplace called Tokocabai. Back-end development will use gRPC and GraphQL as an API service. Front-end development will use the Vue Js framework. Tokocabai application development uses extreme programming methods. The stages of extreme programming methods are planning, design, coding, testing, and release. The iteration that has been successfully carried out is twice with the number of user stories as many as 19. The number of user stories in iteration one is eight and the second iteration is 11. The feature categories that have been successfully implemented are auth, product catalog, profile, transaction, and product review.","PeriodicalId":337023,"journal":{"name":"2020 International Conference on Computer Science and Its Application in Agriculture (ICOSICA)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117203836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2