scholarly journals METODE TRIPLE EXPONENTIAL SMOOTHING TIPE BROWN PADA PERAMALAN PRODUKSI PADI PROVINSI JAWA TENGAH

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Meta Kurniawati
Keyword(s):  
Exponential Smoothing ◽  
Food Crops ◽  
Staple Food ◽  
Central Java ◽  
The Future ◽  
The One ◽  
Almost All ◽  
Central Java Province

Paddy is one of the staple food crops that almost all Indonesians consume every day. Central Java Province is one of the national food buffer provinces, therefore a model is needed to predict the amount of paddy production in Central Java Province for the future. The amount of paddy production in Central Java Province is not constant and fluctuates every year, so the one-parameter Triple Exponential Smoothing model of the Brown type is used to predict the amount of paddy production in Central Java Province. Based on the results of the analysis of the data, it was obtained that the one-parameter Triple Exponential Smoothing model of the Brown type which is appropriate to be used to predict the amount of paddy production in Central Java Province is F28+m=9485520,31-536660,01(m)+(0,5)(-91215,38)(m2), where the number of periods from 1 to 5.

scholarly journals Kluster Tanaman Pangan Unggulan di Provinsi Jawa Tengah

2021 ◽  
Vol 21 (1) ◽  
pp. 55-68
Author(s):  
Choiroel Woestho ◽  
Milda Handayani ◽  
Adi Wibowo Noor Fikri
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Food Plants ◽  
Series Data ◽  
Food Crops ◽  
Food Crop ◽  
Land Area ◽  
Location Quotient ◽  
Central Java ◽  
Central Java Province

The food crop sector has an important role for regions in Indonesia. Food plants can be a determinant for an area in meeting the needs of the people in that area. In addition, the food crop sector, if developed, can become revenue for the region. This study aims to analyze the leading food plants in 35 districts / cities in Central Java Province. By using the location quotient (LQ) method and the Regional Specialization Index. The data used is time series data from 2014 to 2019 in 35 districts / cities in Central Java Province for food crops based on land area and production. The results obtained for the average LQ value of food crops based on land area, there are only 12 districts / cities which are the basis for superior food crops with Wonogiri Regency at the top. Meanwhile, based on the average LQ value based on production, only 11 districts / cities are the basis for superior food crops with Semarang Regency being the top. For the specialization index based on both land area and production, there is no Regency / City that specializes in Central Java Province.   Keywords: Foodcrop Sector, Location Quotient, Specialization Index, Central Java   Abstrak   Sektor tanaman pangan mempunyai peranan penting bagi daerah di Indonesia. Tanaman pangan dapat menjadi penentu bagi suatu daerah dalam memenuhi kebutuhan masyarakat yang ada di daerah tersebut. Selain itu, sektor tanaman pangan jika dikembangkan dapat menjadi pendapatan bagi daerah. Penelitian ini bertujuan untuk menganalisis tanaman pangan unggulan yang ada di 35 Kabupaten/Kota pada Provinsi Jawa Tengah. Dengan menggunakan metode location quotient (LQ) dan Indeks Spesialisasi Regional. Data yang digunakan adalah data time series selama tahun 2014 hingga tahun 2019 pada 35 Kabupaten/Kota di Provinsi Jawa Tengah untuk tanaman pangan berdasarkan luas lahan dan produksi. Hasil yang diperoleh untuk nilai rata – rata LQ tanaman pangan berdasarkan luas lahan, hanya terdapat 12 Kabupaten/Kota yang menjadi basis bagi tanaman pangan unggulan dengan Kabupaten Wonogiri berada di urutan teratas. Sementara berdasarkan nilai rata – rata LQ berdasarkan produksi, hanya 11 Kabupaten/Kota yang menjadi basis tanaman pangan unggulan dengan Kabupaten Semarang menjadi urutan teratas. Untuk indeks spesialisasi baik berdasarkan luas lahan dan produksi, tidak ada Kabupaten/Kota yang mempunyai spesialisasi terhadap Provinsi Jawa Tengah.   Kata kunci: Tanaman Pangan, Indeks Lokalisasi, Indeks Spesialisasi, Jawa Tengah

scholarly journals PERAN SEKTOR PERTANIAN TERHADAP PEREKONOMIAN KABUPATEN CILACAP PERIODE 2002-2013 (Dengan Pendekatan Tipologi Klassen, Shift Share, dan Loqation Quetient)

2019 ◽  
Vol 11 (1) ◽  
pp. 91-99
Author(s):  
Ilham Alkaf ◽  
Siti Rochaeni ◽  
Achmad Tjachja Nugraha
Keyword(s):  
Food Crops ◽  
Central Java ◽  
Central Java Province

The purpose of this study are: 1) to analyze the position of each sub-sector of agriculture in Cilacap economies, 2) to analyze the growth of each sub-sector of agriculture in Cilacap economies, and 3) to analyze which sub-sectors become the agricultural subsector basis in Cilacap. The Klassen Typology, the Shift Share, and the Loqation Quetient were employed to analyze the data of GDRP Cilacap and Central Java province from 2002 until 2013. The analysis showed that the position of sub-sectors of agriculture in Cilacap economies from 2002 until 2013 are: 1) sub-sector of food crops, livestocks, fisheries and forestries is in the lagging position, and 2) sub-sector of plantations is in the potential position. Based on the proportional growth component, plantations and livestocks experienced rapid growths. Subsequent analyses indicate that food crops and forestries become the basis of Cilacap economies.

scholarly journals Long-Tailed Macaques (Macaca fascicularis) and Humans Interactions in Grojogan Sewu Natural Park (TWA GS), Karanganyar Regency, Central Java Province

2020 ◽  
Vol 3 (1) ◽  
pp. 31
Author(s):  
Moh. Jafron Syah
Keyword(s):  
Direct Observation ◽  
Macaca Fascicularis ◽  
Agonistic Interaction ◽  
Central Java ◽  
Natural Park ◽  
Natural Parks ◽  
Almost All ◽  
Central Java Province

<p><em>Macaca fascicularis is one species of primate that easily adapt</em><em>s</em><em> to various habitats, such as disturbances habitat</em><em>,</em><em> like a natural park. The conflict between M. fascicularis and human increases due to changes in ecology. In Borneo, Sumatra, Malaysia, Mauritus, and Thailand, M. fascicularis h</em><em>as</em><em> become pests because destroyed orchards and plantations. Interaction between M. fascicularis and human, which occurred at several natural parks in Singapura and Kaliurang caused by M. fascicularis’s attraction to food brought by humans. This research aimed to study the interaction between M. fascicularis with the humans in Grojogan Sewu Natural Park (TWA GS) by direct observation and also an interview with visitors, workers, and villagers. Based on direct observation, frequency of affiliation interaction between humans and M. fascicularis (55.56%) is higher than agonistic interaction (44.4%). The dominant affiliation interaction was sitting nearby the visitors (42.96%); meanwhile, the most dominant agonistic interaction was stealing (54.12%) because the M. fascicularis attracted to food (67.02%). Workers reported having more nuisance problem with M. fascicularis than visitors and villagers. Almost all of the respondents thought that M. fascicularis needs to be kept alive in the park, and consider conservation and protection of the macaques are essential.</em></p>

scholarly journals Evaluasi kebijakan pembangunan daerah di Provinsi Jawa Tengah

2021 ◽  
Vol 6 (1) ◽  
pp. 42-52
Author(s):  
Agus Fanar Syukri ◽  
Wiwin Widiastuti
Keyword(s):  
Natural Resources ◽  
Regional Development ◽  
Evidence Based ◽  
Regional Competitiveness ◽  
Central Java ◽  
The Future ◽  
Competitiveness Index ◽  
Central Java Province

National and regional development to improve the economy and people's welfare is carried out with a sustainable concept based on natural resources and with an environmental perspective. To accelerate regional development in Central Java Province, Presidential Regulation number 79 of 2019 has been issued by setting 3 areas in Central Java as a focus, namely Bregasmalang, Kedungsepur and Purwomanggung and 5 other areas as supporting areas. To find out the results of regional development in all cities and districts in Central Java, a regional competitiveness index (RCI) was measured in 2019. From comparing the results of RCI in 3 focus areas and 5 supporting areas, it turns out that the RCI in the focus areas is not higher value than the supporting areas, Bregasmalang 5.86 was lower than Barlingmascakep 6.09; Purwomanggung 4.87 was lower than Subosukowonosraten 5.20, indicating that the policy to determine 3 areas for accelerated development of the region of Central Java Province is not fully evidence- based. The recommendation is that the policy for regional development in Central Java Province in the future is based more on evidence, the results of RCI.

scholarly journals Konversi Tinggi Pasang Surut Di Perairan Cilacap Terhadap Energi Yang Dihasilkan

2015 ◽  
Vol 18 (2) ◽  
Author(s):  
Gentur Handoyo ◽  
Agus A.D Suryoputro ◽  
Ibnu Pratikyo
Keyword(s):  
Water Level ◽  
Tidal Energy ◽  
High Water ◽  
Factors Affecting ◽  
High Water Level ◽  
Central Java ◽  
The Future ◽  
The Face ◽  
One Year ◽  
Central Java Province

Pasang surut merupakan parameter yang penting dalam memperoleh besaran energi pasang surut yang berdasarkan nilai muka air pasang tertinggi dan surut terendah. Perairan Kabupaten Cilacap, propinsi Jawa Tengah merupakan perairan yang terletak di Samudera Hindia yang diduga terdapat potensi energi pasang surut yang tinggi. Selain itu faktor lokal yang mempengaruhi adalah bentuk morfologi pantai yang berbentuk alamiah dan diperairan pantai seperti teluk dan selat sempit serta kedalaman perairan. Tipe pasang surut dan nilai muka air pasang tertinggi dan muka air surut terendah diperoleh menggunakan Metode Admiralty. Hasil yang didapt tipe pasang surut di perairan Kabupaten Cilacap Campuran Condong ke Harian Ganda dengan nilai formzahl 0,3. Sedangkan nilai muka air pasang tertinggi sebesar 2,3m dan surut terendah sebesar 0,05m. Hasil simulasi untuk luasan kolam tunggal 1,1 km2 diperoleh energi pasang surut sebesar 61.161 kWh selama kurun waktu satu tahun di perairan Kabupaten Cilacap, Propinsi Jawa Tengah. Maka dapat disimpulkan, bahwa pemanfaatan perencanaan kedepannya untuk memperoleh energi pasang surut yang maksimal sebagai sumber energi alternatif.Kata kunci : Energi, Pasang Surut, Perairan CilacapTidal is an important parameter in obtaining tidal energy quantities are based on the face value of the highest high water level and the lowest low water level. Cilacap Regency waters, Central Java province is located in the waters of the Indian Ocean which is allegedly contained the high potential tidal energy. Tidal are caused by the influece of the force attraction of the moon and the sun. Besides that the local factors affecting is the shaped of morphology coastal which is natural-shaped and in coastal waters such as gulf, narrow strait and the waters depth. The type and tidal value of the highest high water level and the lowest low water level is obtained by using admiralty methods, the results obtained in the tidal type Cilacap Regency waters mixed tide prevailing semi diurnal is formhazl value 0,3. While the face value of the highest high water level is 2,3 m and the lowest low water level is 0,05 m. Simulation results for expressing a single pool of 1,1 km2 of tidal ebergy acquired 61.161 kWh for one year in the waters of Cilacap Regency, Central Java province. Thus it can be inferred that the utilization of energy obtained can be refference in the future construction planning in the future to obtain the maximum tidal energy as a source alternative energy.Keywords : Energy, Tidal, Waters of Cilacap 

scholarly journals FORECASTING FARMER EXCHANGE RATE IN CENTRAL JAVA PROVINCE USING VECTOR INTEGRATED MOVING AVERAGE

2020 ◽  
Vol 13 (2) ◽  
pp. 182-193
Author(s):  
Trimono Trimono ◽  
Abdulah Sonhaji ◽  
Utriweni Mukhaiyar
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Empirical Study ◽  
Moving Average ◽  
Agriculture Sector ◽  
Central Java ◽  
Several Variables ◽  
The Future ◽  
Vector Time Series ◽  
Central Java Province

Farmer Exchange Rate (FER) is an indicator that can be used to measure the level of farmers welfare. For every agriculture sector, FER is affected by the historical price of harvest from the corresponding sector and historical prices of other agriculture sectors. In Central Java Province, rice & palawija, horticulture, and fisheries are the largest agriculture sectors which is the main livelihood for most of the population. FER forecasting is a crucial thing to determine the level of farmers welfare in the future. One method that can be used to predict the value of a variable that is influenced by the historical value of several variables is Vector Time Series. An empirical study was conducted using FER data from the rice & palawija, horticulture and fisheries sectors for January 2011-June 2017 in Central Java Province. The results obtained show that by using the VIMA(2.1) model, the FER prediction was very accurate, with MAPE values were 1.91% (rice & palawija sector), 2.44% (horticulture sector), and 2.18% (fisheries sector).

Alkohol im Tank – Bio-Kraftstoffe und die Grenzen moderner Mobilität

2004 ◽  
Vol 34 (136) ◽  
pp. 455-468
Author(s):  
Hartwig Berger
Keyword(s):  
Third World ◽  
Fossil Fuel ◽  
Energy Resources ◽  
The Third ◽  
Political Conflicts ◽  
The Future ◽  
Long Time ◽  
Food Market ◽  
The One ◽  
The Third World

The article discusses the future of mobility in the light of energy resources. Fossil fuel will not be available for a long time - not to mention its growing environmental and political conflicts. In analysing the potential of biofuel it is argued that the high demands of modern mobility can hardly be fulfilled in the future. Furthermore, the change into using biofuel will probably lead to increasing conflicts between the fuel market and the food market, as well as to conflicts with regional agricultural networks in the third world. Petrol imperialism might be replaced by bio imperialism. Therefore, mobility on a solar base pursues a double strategy of raising efficiency on the one hand and strongly reducing mobility itself on the other.

ECOLOGY AND SUSTAINABLE DEVELOPMENT IN LOCAL BUSINESS:SIMULATION OF LOW IMPACT DEVELOPMENT IN SURAKARTA REGENCY

2018 ◽  
Vol 4 (1) ◽  
pp. 32-38
Author(s):  
Bhimo Rizky Samudro ◽  
Yogi Pasca Pratama
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
River Flow ◽  
Low Impact Development ◽  
Development Model ◽  
Business Activity ◽  
Resources Management ◽  
Central Java ◽  
Specific Culture ◽  
Central Java Province

This paper will describe the function of water resources to support business activities in Surakarta regency, Central Java province. Surakarta is a business city in Central Java province with small business enterprises and specific culture. This city has a famous river with the name is Bengawan Solo. Bengawan Solo is a River Flow Regional (RFR) to support business activities in Surakarta regency. Concious with the function, societies and local government in Surakarta must to manage the sustainability of River Flow Regional (RFR) Bengawan Solo. It is important to manage the sustainability of business activity in Surakarta regency.   According to the condition in Surakarta regency, this paper will explain how the simulation of Low Impact Development Model in Surakarta regency. Low Impact Development is a model that can manage and evaluate sustainability of water resources in River Flow Regional (RFR). Low Impact Development can analys goals, structures, and process water resources management. The system can also evaluate results and impacts of water resources management. From this study, we hope that Low Impact Development can manage water resources in River Flow Regional (RFR) Bengawan Solo.  

PENERAPAN ALGORITMA K-MEANS UNTUK PENGELOMPOKAN DAERAH RAWAN BENCANA DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Amril Mutoi Siregar
Keyword(s):  
Natural Disasters ◽  
Accurate Data ◽  
Disaster Victims ◽  
Central Java ◽  
North Sulawesi ◽  
Natural Beauty ◽  
Or Groups ◽  
Disaster Data ◽  
The Government ◽  
Almost All

Indonesia is a country located in the equator, which has beautiful natural. It has a mountainous constellation, beaches and wider oceans than land, so that Indonesia has extraordinary natural beauty assets compared to other countries. Behind the beauty of natural it turns out that it has many potential natural disasters in almost all provinces in Indonesia, in the form of landslides, earthquakes, tsunamis, Mount Meletus and others. The problem is that the government must have accurate data to deal with disasters throughout the province, where disaster data can be in categories or groups of regions into very vulnerable, medium, and low disaster areas. It is often found when a disaster occurs, many found that the distribution of long-term assistance because the stock for disaster-prone areas is not well available. In the study, it will be proposed to group disaster-prone areas throughout the province in Indonesia using the k-means algorithm. The expected results can group all regions that are very prone to disasters. Thus, the results can be Province West java, central java very vulnerable categories, provinces Aceh, North Sumatera, West Sumatera, east Java and North Sulawesi in the medium category, provinces Bengkulu, Lampung, Riau Island, Babel, DIY, Bali, West Kalimantan, North Kalimantan, Central Sulawesi, West Sulawesi, Maluku, North Maluku, Papua, west Papua including of rare categories. With the results obtained in this study, the government can map disaster-prone areas as well as prepare emergency response assistance quickly. In order to reduce the death toll and it is important to improve the services of disaster victims. With accurate data can provide prompt and appropriate assistance for victims of natural disasters.

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