scholarly journals POOR AND PLANTATION COMMODITIES DISTRIBUTION INFORMATION SYSTEM TO POVERTY REDUCTION IN WEST JAVA PROVINCE

2018 ◽  
Vol 3 (02) ◽  
pp. 147
Author(s):  
Irawan Afrianto
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Poverty Reduction ◽  
System Development ◽  
Poverty Rate ◽  
Poor People ◽  
User Centered Design ◽  
West Java ◽  
The Government ◽  
Poor Communities

The number of poverty in West Java Province reaching 4.23 million / 9.18%, is a matter of special concern for the government of West Java Province to perform the actions and activities of poverty reduction. Meanwhile, West Java with 26 districts / cities has a huge plantation potential, there are 493,118 hectares of plantations in West Java with 33 plantation Commodities therein. This led to a desire to collaborate on poverty data and potential plantation data in order to reduce the poverty rate. Geographic information system (GIS) which contains data and distribution of poor communities and plantations developed to map the areas that have poor communities and the potential of plantations in the area. This is intended to facilitate the provision of assistance from the Plantation Office for poor communities around the plantation. The system development method used is UCD (User Centered Design) so that it can focus on the needs of data and information needed. The use of maps with the google maps API provides ease in presenting regional spatial data to show poverty data as well as plantation potential. The existence of mapping system of distribution of poor people and plantation potency hence information of location of poor society and potency of plantation in West Java can be raised in one information intact to facilitate in informing of poor society that domicile around plantation.

scholarly journals Forecasting of Poverty Data Using Seasonal ARIMA Modeling in West Java Province

2020 ◽  
Vol 4 (1) ◽  
pp. 76
Author(s):  
Desri Kristina Silalahi
Keyword(s):  
Poverty Reduction ◽  
Moving Average ◽  
Arima Model ◽  
Percentage Error ◽  
Seasonal Effect ◽  
Poor People ◽  
West Java ◽  
Sarima Model ◽  
Reduction Strategies ◽  
The Government

The government continues to carry out poverty reduction strategies in Indonesia, especially in West Java Province. West Java Province is a province that has the most populous population in Indonesia. This will affect the level of welfare and the amount of poverty. The strategy undertaken is inseparable from accurate poverty data and is available from year to year. Even from the available data, the government can forecast the number of poor people in the coming years. Seasonal Autoregressive Integrated Moving Average (SARIMA) method is one of forecasting methods. SARIMA is the development of the ARIMA model which has a seasonal effect. Based on the results of the study, that poverty data forecasting in the province of West Java using the SARIMA method obtained SARIMA model (0,1,1) (1,1,1)4. This model is the best model for forecasting data with an R-Squared value of 98%, Mean Square Error is 7.705.5800.000 and Mean Absolute Percentage Error IS 2,81%. It’s means this SARIMA model is very good in predicting poverty data in West Java Province.

scholarly journals Pencapaian Program Keluarga Harapan (PKH)

2018 ◽  
Vol 2 (4) ◽  
pp. 525
Author(s):  
Wulandari Wulandari ◽  
Pudji Muljono
Keyword(s):  
Poverty Reduction ◽  
Qualitative Data ◽  
Social Protection ◽  
Survey Method ◽  
Poor People ◽  
Education And Health ◽  
Poor Households ◽  
The Family ◽  
Program Policy ◽  
The Government

One of the main problems of development that experienced by Indonesia at this time is the high number of poor people. In order to accelerate poverty reduction and the development of policy in the field of social protection for families very poor households, the government issued a policy that is Family Hope Program. Family Hope Program is a social assistance that realized by cash, education and health are addressed to very poor households particularly who has a 0-15 years old and pregnant mother/ postpartum. The purpose of this research is to identify the achievement of the Family Hope Program in Tedunan, Kedung district, Jepara regency. This research was conducted with a quantitative approach that is supported by qualitative data. The method used in this research is survey method with 40 respondent.Key words: family hope program , policy, povertyABSTRAKSalah satu masalah utama pembangunan yang dialami oleh Indonesia saat ini adalah tingginya jumlah penduduk miskin. Dalam rangka percepatan penanggulangan kemiskinan sekaligus pengembangan kebijakan di bidang perlindungan sosial bagi keluarga Rumah Tangga Sangat Miskin (RTSM), pemerintah mengeluarkan sebuah kebijakan yaitu Program Keluarga Harapan (PKH). Program Keluarga Harapan adalah bantuan sosial yang diwujudkan dengan bantuan tunai, pendidikan dan kesehatan yang ditujukan kepada Rumah Tangga Sangat Miskin (RTSM) khususnya yang memiliki anak usia 0-15 tahun dan ibu hamil/nifas. Tujuan dari penelitian ini adalah untuk mengidentifikasi pencapaian Program Keluarga Harapan (PKH) di Desa Tedunan, Kecamatan Kedung, Kabupaten Jepara. Penelitian ini dilakukan dengan pendekatan kuantitatif yang didukung dengan data kualitatif. Metode yang digunakan dalam penelitian ini adalah metode survey dengan responden sebanyak 40 orang.Kata kunci: kebijakan, kemiskinan, PKH

scholarly journals PEMETAAN LOKASI KELUARGA PENERIMA MANFAAT PKH DI KECAMATAN PRAYA TENGAH MENGUNAKAN EXTENTION GEOPROCESSING

2018 ◽  
Vol 1 (2) ◽  
pp. 33
Author(s):  
Sofiansyah Fadli ◽  
Fitri Rohyatul Aini
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Geographic Information ◽  
The Other ◽  
Government Programs ◽  
Government Program ◽  
Family Expectations ◽  
The Government ◽  
System Mapping ◽  
The Town

Based on data from UPPKH sub-district of Central Praya Year in 2017. The number of beneficiaries from the Government Program namely the Program Family expectations (PKH) and Beneficiary Families (KPM) is 3,425 which are spread throughout the villages in the Central Praya. The existence of the problems and constraints that have emerged is the difficulty the other escorts who are outside of the town would like to know the location and development of recipient PKH KPM. Extention Geoprocessing is a tool for processing spatial data in ArcView. The use of extension geoprocessing on the geographic information syste is one tool that can be used to assist in analyzing the condition and whereabouts of beneficiaries of government programs, especially the PKH KPM Program, especially in the Central Praya sub-district.The method used in analyzing data is the model SPIRAL method, the programming language used is PHP / MapScript, and criteria used are sourced from BPS. With the building of a geographic information system mapping the PKH KPM location, the community and the government will find it easier to know the development of poverty and can facilitate outside sub-district facilitators to find the location of PKH KPM in the central Praya sub-district.

scholarly journals PERKEMBANGAN TINGKAT KEMISKINAN DAN KESENJANGAN SOSIAL REGIONAL DI INDONESIA 2011-2015

2017 ◽  
Vol 22 (1) ◽  
Author(s):  
Iwan Prasodjo
Keyword(s):  
Rural Area ◽  
Rural Areas ◽  
Urban Poor ◽  
Poverty Line ◽  
Poverty Rate ◽  
Poor People ◽  
Agriculture Sector ◽  
The Poor ◽  
The Government ◽  
Urban And Rural Areas

This article discusses on poverty rate and inequlity in urban and rural areas during 2011-15. It shows that poverty rate tends todecrease. The poverty in rural area is worse than that in the urban one. The urban poor people work in the informal sector or in the small business. The poor in the rural areas work in the agriculture sector. The majority of poorest provinces is in the east Indonesia. However, the majority of the poor people live in Java island. Eventough the income inequility in Indonesia is moderate, but it  has been increased since 2011. There are many more poor people above the national poverty line. The government could inprove rural and east Indonesia infstructure in order to increase agriculture production. In this way the poverty in rural area and the gap between east and west Indonesia could decrease.

scholarly journals Calculation of Unit Cost School Information System Development using ABC (Activity Based Costing) Method

2020 ◽  
Vol 3 ◽  
pp. 307-313
Author(s):  
Muhammad Fahson Hakim ◽  
Ahmad Sirojun Nuha ◽  
Widya Aini Lathifah ◽  
M. Ainul Yaqin
Keyword(s):  
Information System ◽  
System Development ◽  
Unit Cost ◽  
Cost Calculation ◽  
Activity Based Costing ◽  
Cost Information ◽  
Goods And Services ◽  
Management Concepts ◽  
The Government ◽  
The Cost

In developing an information system the school must determine a strategy in its development. Look for managers who are reliable in making decisions that are oriented to reliable development. One of the proper management concepts is cost accuracy. Accuracy of charging costs on cost objects is very important for users of cost information. Beside the accuracy, it is also needed to find out the cost per unit needed in the information system. This is intended to have a price benchmark for the development of information systems in the future. In this study the unit cost calculation uses the ABC (Activity Based Costing) method which emphasizes the cost calculation for the activities involved. The allocation of costs is based on salary data from trusted institutions, namely the Pedoman Standard Minimal 2019 by INKINDO. The results of this study get a total cost value of 18.407.082,00while the cost of each complexity is 5,301.00 with the standard cost of procurement of goods and services issued by the government and several survey institutions.

scholarly journals Geographic Information System for Mapping the Potency of Batik Industry Centre

2019 ◽  
Vol 5 (1) ◽  
pp. 40
Author(s):  
Taryadi Taryadi ◽  
Sattriedi Wahyu Binabar ◽  
Dicke JSH Siregar
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Local Government ◽  
Spatial Data ◽  
System Development ◽  
Geographic Information ◽  
System Technology ◽  
City Center ◽  
Geographic Information System Technology ◽  
Information System Technology

Background: As one of batik producer city in Indonesia, Pekalongan city needs medium and infrastructure that able to provide the information needed by either the local government or the society.  The need about information of Batik city center in Pekalongan will provide the information about the batik center for the local government in the potency, obstacle and the needs of Small and Medium Batik Enterprises Centre to improve the Batik Production.Objective: The research is aimed at mapping the potency of batik center in Pekalongan city by implementing Geographic Information System Technology. The information about batik center in Pekalongan city needs to be maintained.  The maintenance in information field is needed upon the batik center in Pekalongan.Methods: The method used in mapping the batik potency in Pekalongan city is the Geographic Information System (GIS) by providing the information based on a spatial data.  Whereas the waterfall system development is used in developing the GIS.Results: The research resulted the application in mapping the batik center with GIS based that provide reference to the related parties about information and planning as well as investment in batik business.Conclusion: The system is able to provide the information needed by users, such as business mapping, the mapping about the amount of business in one area, the batik potency in each district that is figured for mapping location.

scholarly journals Implementasi Kebijakan Penanggulangan Kemiskinan di Kota Medan Dalam Perspektif Ekonomi Politik

PERSPEKTIF ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 543-554
Author(s):  
Muhammad Ardian ◽  
Arief Marizki Purba
Keyword(s):  
Political Economy ◽  
Research Method ◽  
Poverty Reduction ◽  
School To Work ◽  
Drop Out ◽  
Poor People ◽  
Assistance Programs ◽  
Descriptive Research ◽  
The Government ◽  
Traditional Fishing

This research aims to describe and analyze the implementation of the Poverty Reduction Policy in the Perspective of Political Economy in Medan Belawan District, Medan City. The research method used is descriptive research method with a qualitative approach. The results showed that the implementation of poverty reduction policies in Medan Belawan sub-district from the perspective of political economy has been running quite well. The whole series or process of activities starting from the initial socialization, reflecting on poverty, implementing the program, monitoring the program all went quite well. The success of the Poverty Reduction Policy is greatly supported by the effectiveness of the implementing organizations in providing learning, mentoring, independence, for the poor. The obstacle that occurs in the implementation of this policy is that there are still poor people, most of whom are traditional fishing workers who have not received the benefits of assistance programs from the Government. This caused some of their children to drop out of school to work to help their parents.

scholarly journals Public Spending and Poverty Reduction in Indonesia: The Effects of Economic Growth and Public Spending on Poverty Reduction in Indonesia 2009-2018

2019 ◽  
Vol 4 (2) ◽  
pp. 49-56
Author(s):  
Hendrawan Toni Taruno
Keyword(s):  
Economic Growth ◽  
Rural Areas ◽  
Poverty Reduction ◽  
Social Protection ◽  
Public Spending ◽  
Poverty Rate ◽  
Single Digit ◽  
The Past ◽  
The Government ◽  
Urban And Rural Areas

Poverty is a complex and multidimensional issue. Over the past four decades, the number of poor in Indonesia has experienced a significant decline, from 40.10 percent in 1976 to 9.82 percent in March 2018. Nevertheless, the disparity of poverty rates between provinces is still quite high. The poverty rate in several provinces in Java Island, for example, is already at the single-digit level, while in Eastern Indonesia, is still more than double-digit level. As it is known, public spending and economic growth are two crucial instruments on poverty reduction programs. This study aims to investigate the role of economic growth and public spending, particularly education, health, and social protection on poverty reduction in Indonesia. By using panel data from 31 provinces during 2009-2018 period, this study used two regression models to analyze the effects of these two variables on poverty reduction, both in urban and rural areas. This study shows that public spending on health and education sectors has a slightly different effect on poverty reduction between urban and rural areas. Convincingly, spending allocation on health and education has had a significant effect to reduce poverty rate in rural areas, while the decline of poverty rates in urban is likely more influenced by spending on health. This study also shows that over the past ten years, economic growth and social protection spending did not have a significant effect on reducing poverty rates. Therefore, in order to reduce poverty more effectively, it would be better for the government to focus its poverty reduction programs on investment in health and education sectors.

scholarly journals IMPLEMENTATION OF THE DEVELOPMENT PROGRAM THAT JUST AS THE PRO-POOR GOVERNMENT POLICIES

2017 ◽  
Vol 1 (1) ◽  
pp. 15
Author(s):  
Sri Suatmiati
Keyword(s):  
Welfare State ◽  
Poverty Reduction ◽  
Western Europe ◽  
Basic Education ◽  
Development Program ◽  
The State ◽  
State System ◽  
Poor People ◽  
The Government ◽  
The Welfare State

<p>In Several states, social security for citizens is place to protect marginalized groups in order to maintain access to public services are rudimentary, such as services to meet the needs from the perspective of political economy known as basic need. Public welfare provision in the state system includes services in the areas of basic education, health and housing are cheap and good quality, if Necessary, free as in Western Europe is a cluster of countries are quite intense in terms of the welfare state principles. Free education and health is a major concern in Western Europe to get subsidies. The Data agency (BPS) said that the Indonesian population in 2010 income Rp.27,0 million a year. There are poor people Whose population is 80 percent of the population only contributes about 20 percent of GDP. There are the wealthy once or people who enter the category earn more than 30,000 dollars a year, but there are Also people with disabilities living income or $ 2 dollars per day (730 dollars a year), the which are still 100 million people. It means there is a huge gap. The words fair, equitable, wellbeing and prosperity was growing dimmer and the faint sound. This condition shows how there is no equity in income Because there is no strong will to realize the vision for the welfare of society. Impossible Anti-poverty program run properly if the governance of the state and society is not yet fully base on the welfare state system. Anti-poverty programs intertwine with the application of individual taxation that is progressive. If taxation without concept, poverty reduction strategy with the government has not gone According to the terms of the welfare state that is pro-poor.</p>

scholarly journals Aplikasi Triple Exponential Smoothing Untuk Forecasting Jumlah Penduduk Miskin

2020 ◽  
Vol 3 (2) ◽  
pp. 76-82
Author(s):  
Padrul Jana
Keyword(s):  
Poverty Reduction ◽  
Mean Squared Error ◽  
Exponential Smoothing ◽  
Mean Absolute Percentage Error ◽  
Percentage Error ◽  
Poor People ◽  
Mean Absolute Deviation ◽  
Absolute Deviation ◽  
Absolute Percentage Error ◽  
The Government

This study aims to predict the number of poor in Indonesia for the next few years using a triple exponential smoothing method.The purpose of this research is the result of the forecast number of poor people in Indonesia accurate forecast results are used as an alternative data the government for consideration of government to determine the direction of national poverty reduction policies. This research includes the study of literature research, by applying the theory of forecasting to generate predictions of poor people for coming year. Furthermore, analyzing the mistakes of the methods used in terms of the count: Mean Absolute Deviation (MAD), Mean Square Error (MSE), Mean absolute percentage error (MAPE) and Mean Percentage Error (MPE). The function of this error analysis is to measure the accuracy of forecasting results that have been conducted.These results indicate that the number of poor people in 2017 amounted to 24,741,871 inhabitants, in 2018 amounted to 24,702,928 inhabitants, in 2019 amounted to 24,638,022 inhabitants and in 2020 amounted to 24,547,155 people. The forecasting results show an average reduction in the number of poor people in Indonesia last five years (2016-2020 years) ranges from 0.16 million. Analysis forecasting model obtained an mean absolute deviation (MAD) obtained by 0.246047. Mean squared error (MSE) of forecasting results with the original data by 1.693277. Mean absolute percentage error (MAPE) of 3.040307% and the final Mean percentage error (MPE) of 0.888134%.Kata Kunci: Forecasting, Triple Exponential Smoothing

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