scholarly journals Teknik Data Mining dalam Mengelompokkan Produktivitas Padi Menurut Provinsi Menggunakan K-Medoids

2019 ◽  
Vol 1 ◽  
pp. 651
Author(s):  
Safitri Ani Ritonga ◽  
M. Safii ◽  
Iin Parlina ◽  
Heru Satria Tambunan ◽  
Susiani Susiani
Keyword(s):  
Data Mining ◽  
Agricultural Sector ◽  
Plant Diseases ◽  
Raw Material ◽  
Staple Food ◽  
Research Results ◽  
Rice Productivity ◽  
The People ◽  
Pest Eradication ◽  
Cluster 2

Rice is a staple food raw material that is vital for the people, and one of the leading commodities that is cultivated by most farmers, making it an indicator of the Indonesian economy. Where the price of rice is a reflection of a country's ability to manage its economy. Rice productivity is decreasing because there are many obstacles faced by farmers such as superior seeds, fertilizers, pest eradication drugs, plant diseases, and labor in the agricultural sector. This study proposes the use of the K-Medoids method to determine the high and low productivity of rice in the province. The research results obtained were Cluster 1 (low) = 17 provinces, Cluster 2 (moderate) = 7 Provinces, and Cluster 3 (High) = 10 Provinces.

scholarly journals Implementation of Data Mining on Rice Imports by Major Country of Origin Using Algorithm Using K-Means Clustering Method

2017 ◽  
Vol 1 (2) ◽  
pp. 26 ◽  
Author(s):  
Agus Perdana Windarto
Keyword(s):  
Data Mining ◽  
Agricultural Sector ◽  
Country Of Origin ◽  
Staple Food ◽  
Clustering Method ◽  
Total Import ◽  
Cross Border ◽  
Directorate General ◽  
Medium Level ◽  
Level Cluster

Indonesia is a country where most of its people rely on the agricultural sector as a livelihood. Indonesia's rice production is so high that it can not meet the needs of its population, consequently Indonesia still has to import rice from other food producing countries. One of the main causes is the enormous population. Statistics show that in the range of 230-237 million people, the staple food of all residents is rice so it is clear that the need for rice becomes very large. This study discusses the application of datamining on rice import by main country of origin using K-Means Clustering Method. Sources of data of this study were collected based on import import declaration documents produced by the Directorate General of Customs and Excise. In addition since 2015, import data also comes from PT. Pos Indonesia, records of other agencies at the border, and the results of cross-border maritime trade surveys. The data used in this study is the data of rice imports by country of origin from 2000-2015 consisting of 10 countries namely Vietnam, Thailand, China, India, Pakistan, United States, Taiwan, Singapore, Myanmar and Others. Variable used (1) total import of rice (net) and (2) import purchase value (CIF). The data will be processed by clustering rice imports by main country of origin in 3 clusters ie high imported cluster, medium imported cluster and low import level cluster. The clustering method used in this research is K-Means method. Cetroid data for high import level clusters 7429180 and 2735452,25, Cetroid data for medium import level clusters 1046359.5 and 337703.05 and Cetroid data for low import level clusters 185559.425 and 53089.225. The result is an assessment based on rice import index with 2 high imported cluster countries namely Vietnam and Thailand, 4 medium-level clusters of moderate import countries namely China, India, Pakistan and Lainya and 4 low imported cluster countries namely USA, Taiwan, Singapore and Myanmar. The results of the research can be used to determine the amount of rice imported by the main country of origin

scholarly journals APLIKASI PREDIKSI KELAYAKAN CALON ANGGOTA KREDIT PADA KSPPS BMT ARTA JIWA MANDIRI WONOGIRI MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR

2019 ◽  
Vol 3 (2) ◽  
pp. 84
Author(s):  
Yogiek Indra Kurniawan ◽  
Farida Angguntina
Keyword(s):  
Data Mining ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Timely Manner ◽  
Nearest Neighbor Algorithm ◽  
Savings And Loans ◽  
Research Results ◽  
The People ◽  
Savings And Loan ◽  
K Nearest Neighbor Algorithm

An economy that tends to be unstable causes many people to make loans at banks and cooperatives to meet their increasing daily needs. But there are some people who cannot return the loan in a timely manner. These problems can be created or developed by an application that is used to predict whether the people who apply for loans can return loans smoothly, smoothly and stall. Use of attributes such as gender, age, type of work, number of loans, term of return, collateral and income and use the K-Nearest Neighbor algorithm to make predictions. From the research results obtained in the form of accuracy value of 80%, recall of 91% and preciison of 85%. Thus this application can be used to help the pinjman savings cooperative in considering prospective savings and loan credit members who deserve a capital loan. Keywords: data mining, K Nearest Neighbor, cooperatives, savings and loans.

scholarly journals Detection of Disease and Pest of Kenaf Plant Based on Image Recognition with VGGNet19

2021 ◽  
Vol 4 (1) ◽  
pp. 55
Author(s):  
Diny Melsye Nurul Fajri ◽  
Wayan Firdaus Mahmudy ◽  
Titiek Yulianti
Keyword(s):  
Agricultural Sector ◽  
Working Hours ◽  
Block Matrix ◽  
Plant Diseases ◽  
Raw Material ◽  
Kenaf Fiber ◽  
Disease Symptoms ◽  
Input Feature ◽  
Plastic Materials ◽  
Network Method

One of the advantages of Kenaf fiber as an environmental management product that is currently in the center of attention is the use of Kenaf fiber for luxury car interiors with environmentally friendly plastic materials. The opportunity to export Kenaf fiber raw material will provide significant benefits, especially in the agricultural sector in Indonesia. However, there are problems in several areas of Kenaf's garden, namely plants that are attacked by diseases and pests, which cause reduced yields and even death. This problem is caused by the lack of expertise and working hours of extension workers as well as farmers' knowledge about Kenaf plants which have a terrible effect on Kenaf plants. The development of information technology can be overcome by imparting knowledge into machines known as artificial intelligence. In this study, the Convolutional Neural Network method was applied, which aims to identify symptoms and provide information about disease symptoms in Kenaf plants based on images so that early control of plant diseases can be carried out. Data processing trained directly from kenaf plantations obtained an accuracy of 57.56% for the first two classes of introduction to the VGGNet19 architecture and 25.37% for the four classes of the second introduction to the VGGNet19 architecture. The 5×5 block matrix input feature has been added in training to get maximum results.

Penerapan Data Mining Untuk Prediksi Penjualan Mobil Menggunakan Metode K-Means Clustering

2020 ◽  
Vol 3 (3) ◽  
pp. 187-201
Author(s):  
Sufajar Butsianto ◽  
Nindi Tya Mayangwulan
Keyword(s):  
Data Mining ◽  
Clustering Data ◽  
Cluster 2

Penggunaan mobil di Indonesia setiap tahunnya selalu meningkat dan membuat perusahaan otomotif berlomba-lomba dalam peningkatan penjualannya. Tujuan dari penelitian ini untuk mengelompokan data penjualan kedalam sebuah cluster dengan metode Data Mining Algoritma K-Means Clustering. Data Penjualan nantinya akan dikelompokan berdasarkan kemiripan data tersebut sehingga data dengan karakteristik yang sama akan berada dalam satu cluster. Atribut yang digunakan adalah brand dan penjualan. Cluster yang terbentuk setelah dilakukan proses K-Means Clustering terbagi menjadi tiga cluster yaitu Cluster 0 jumlah anggota 235 dengan presentase 26% dikategorikan Laris, Cluster 1 jumlah anggota 604 dengan presentase 67% dikategorikan Kurang Laris, dan Cluster 2 jumlah angota 61 dengan presentase 7% dikategorikan Paling Laris, dari proses clustering diatas dapat diperoleh validasi DBI (Davies Bouldin Index) dengan nilai 0,341

THE BIOENERGY CROPS MARKET IN UKRAINE: TRENDS OF DEVELOPMENT AND SPATIAL DIFFERENTIATION

2017 ◽  
Author(s):  
Yuriy Hayda ◽  
◽  
Khrystyna Firman ◽  
Keyword(s):  
Sugar Beet ◽  
Agricultural Sector ◽  
Spatial Differentiation ◽  
Raw Material ◽  
Biofuel Production ◽  
Bioenergy Crops ◽  
Positive Trend ◽  
Energy Potential ◽  
Resource Base ◽  
Positive Tendency

In this article analyzes the development of trends of bioenergy crops market development in Ukraine and its current state are analysed. The possibility and feasibility of synergy of mutual development of bioenergy crops market and bio-oil market in Ukraine were noted. The necessity of state support and stimulation of bioenergy crops and different types of biofuels production in Ukraine was stated. A positive trend of growth of planted areas and production of rapeseed in Ukraine was revealed. During the study period (2013-2019) the production of rapeseed was increased by 1.4 times. The greatest energy potential for the production of bioethanol is in the sugar beet subcomplex of the agricultural sector. Over the past few years, the production of sugar beet was at its highest in 2014 (15.7 million tonnes), while the following years saw a decrease in cultivated areas of sugar beet and, consequently, a drop in its gross output - to 8.3 million tonnes in 2020. Significant resource potential for the production of bioethanol also have cereal crops (wheat, rye, barley, maize), the area under which during the last ten years remains relatively stable (14.4-15.3 million ha). Among grain crops the most effective raw material for the production of bioethanol is maize. A positive tendency of biennial growth of planted area under this crop is revealed. The space differentiation of resource base of bioenergy in Ukraine is prominent. The cluster analysis revealed three groups of areas based on the similarity of the energy resources for bioenergy purposes. Two clusters including Khmelnytskyi, Ternopil, Zhytomyr and Chernihiv, Vinnytsia, Cherkasy, Sumy, Kirovograd, Poltava and Kyiv regions should be considered as the most promising areas for concentration of capacities in biofuel production. It is noted that the trajectory of development bioenergetic sector of the country is always conditioned by compromise between compliance with optimal levels of its energy and food security.

Farmers’ Capacity and Rice Productivity in Climate Change Adaptation in Central Lampung Regency, Indonesia

2021 ◽  
Vol 11 (4) ◽  
pp. 346-353
Author(s):  
Indah Listiana ◽  
Indah Nurmayasari ◽  
Rinaldi Bursan ◽  
Muher Sukmayanto ◽  
Helvi Yanfika ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Agricultural Sector ◽  
Rank Correlation ◽  
Performance Level ◽  
Crop Failure ◽  
Rice Productivity ◽  
Spearman Rank Correlation Analysis ◽  
The Impact ◽  
The Relationship

Climate change is an extreme natural change condition due to global warming that cannot be avoided, and will have a broad impact on various aspects of life, including the agricultural sector. The impact of climate change that occurs in the agricultural sector, namely flood and drought that cause plants to crop failure , is becoming greater, causing significant reduction in agricultural production, especially rice, requiring that farmers have the ability to adapt to climate change. The purposes of this study are to analyze the relationship between the performance level of agricultural extension workers and the capacity level of farmers in regard to climate change adaptation, and to analyze the relationship between the level of farmer capacity in climate change adaptation and rice productivity. The research was conducted in Central Lampung Regency in 2019 using a total of 100 rice farmers. The data analysis method used is Spearman rank correlation analysis. The results show that the performance level of agricultural instructors is significantly related to the level of knowledge capacity, attitude, and skills of farmers in climate change adaptation. Knowledge capacity, attitude, and skills of farmers in climate change adaptation are significantly related to rice productivity.

scholarly journals Fulani herdsmen/farmers conflict and the challenges of food security in the middle belt region of Nigeria

2021 ◽  
Vol 4 (3) ◽  
pp. 134-139
Author(s):  
Inyang Etim Bassey ◽  
Effiong Eke Nta ◽  
Ekwutosi Offiong
Keyword(s):  
Food Production ◽  
Agricultural Sector ◽  
National Income ◽  
Field Research ◽  
Raw Material ◽  
Industrialized Countries ◽  
Secondary Sources ◽  
Agriculture Sector ◽  
Economic Development And Growth ◽  
Strategic Role

The agriculture sector, the backbone of an economy, provides the basic ingredients to mankind and raw material for industrialization. It plays a strategic role in the process of economic development and growth. Leading industrialized countries of today were once predominantly agricultural economies and still dominate in agriculture. The agricultural sector contributes a major proportion of the national income and caters to a large workforce segment. However, one of the biggest security challenges in Nigeria lately is the expanding clashes between farmers and herders. Today, the conflict has spread over several regions in Nigeria and the Middle-Belt-Region specifically. It is against this foundation that this research is carried out to inspect how conflicts between farmers and herders influence food production, food accessibility, food stability, and food usage in the Middle Belt. The study is based on selected secondary sources and findings from the field research conducted in the Middle Belt region such as Benue, Taraba, Adamawa, Bauchi, Nasarawa, etc. The qualitative research techniques involved in-depth interviews with local people and direct observation. This study observes that the food insecurity in this region is driven by the constant clash between the farmers and herdsmen, which have inflicted fear of going to cultivate their farmland in the lives of these rural farmers, consequently leading to shortages in food production in the region.

scholarly journals Quality of research results in agro-economy by data mining

2015 ◽  
Vol 62 (4) ◽  
pp. 1137-1146
Author(s):  
Gordana Vukelic ◽  
Slobodan Stanojevic ◽  
Zorica Andjelic
Keyword(s):  
Data Mining ◽  
Research Results ◽  
Quality Of Research

scholarly journals SAÚDE E SEGURANÇA DE TRABALHADORES EM GALPÕES DE MATRIZES DE FRANGOS DE CORTE

Nativa ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 380
Author(s):  
Cinara Da Cunha Siqueira Carvalho ◽  
Ilda De Fátima Ferreira Tinôco ◽  
Cecília De Fátima Souza ◽  
Maria De Fátima Araújo Vieira ◽  
Thamara Amaral Diniz ◽  
...  
Keyword(s):  
Natural Ventilation ◽  
Agricultural Sector ◽  
Health And Safety ◽  
Well Being ◽  
Poultry Production ◽  
The People ◽  
Safety And Health ◽  
De Se ◽  
The Individual ◽  
Rural Work

O bem-estar animal tem sido amplamente discutido, abordando as ações e efeitos no processo de criação, transporte até o abate, a fim de se adequar os meios de produção. No entanto, bem-estar é um assunto de ampla abrangência e que atualmente, adequa também as condições de trabalho das pessoas que atuam no setor agrícola. A segurança e a saúde dos trabalhadores é motivo de preocupação, uma vez que a forma como o indivíduo se sente ou como exerce as suas atividades, pode influenciar de forma negativa na produção animal. Diante dessa crescente preocupação, objetivou-se com esse trabalho avaliar os efeitos da tipologia das edificações e do sistema de produção de matrizeiros de frangos de corte sobre as condições de saúde, segurança e ergonomia dos trabalhadores envolvidos na atividade. De posse dos dados coletados, verificou-se que as atividades que exigem o carregamento de peso, principalmente quando realizada por mulheres, podem vir a prejudicar a coluna bem como outros membros corporais. Os demais fatores ergonômicos como concentração de gases, luz e ruído não tornaram o ambiente insalubre uma vez que as instalações são abertas favorecendo a ventilação natural e iluminação.Palavras-chave: ergonomia, produção de frangos, trabalho rural. HEALTH AND SAFETY OF WORKERS IN HARBORS OF BROILERS BREEDER ABSTRACT:Animal welfare has been widely discussed, addressing the actions and effects in the process of creation, transportation to slaughter, in order to suit the means of production. However, well-being is a matter of wide scope and currently, it also suits the working conditions of the people who work in the agricultural sector. The safety and health of workers is a matter of concern, since the way in which the individual feels or how he practices his activities may negatively influence animal production. Faced with this growing concern, this work aimed to evaluate the effects of typology of buildings and the system of production of broilers breeder on the health, safety and ergonomic conditions of workers involved in the activity. With the collected data, it was verified that the activities that require the weight load, especially when performed by women, can harm the spine as well as other body limbs. Other ergonomic factors such as concentration of gas, light and noise have not made the environment unhealthy since the facilities are opened favoring natural ventilation and lighting.Keywords: ergonomics, poultry production, rural work.

scholarly journals How to Tell the Story?

2021 ◽  
Vol 11 (1) ◽  
pp. 19-28
Author(s):  
Lars Bo Henriksen
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Social Science ◽  
Language Games ◽  
World Language ◽  
Life World ◽  
Research Results ◽  
The People ◽  
Collection Data ◽  
Scientific Narratives

In this paper I investigate the problems of data collection, data analysis and the final communication of the results of our research, when doing social science that we, ourselves, are part of. Central to this are the concepts life world, language games and stories and narratives. How do we collect stories and narratives in the field, how do we construct scientific narratives that are both reliable and valid? And finally, how do we, as researchers present our newly constructed narrative to a – hopefully – interested audience? That is, how do you, as a consumer of scientific narratives, read what I have been writing? Finally, I will discuss the problem of handing over research results to the people that we are doing research with. This is all done within a framework of a pragmatic constructivist paradigm.

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