scholarly journals ANALISIS PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA PETANI TEBU RAKYAT DI KECAMATAN BUNGAMAYANG KABUPATEN LAMPUNG UTARA

2021 ◽  
Vol 9 (2) ◽  
pp. 122
Author(s):  
Thomas Mayang Andriadi ◽  
Fembriarti Erry Prasmatiwi ◽  
Maya Riantini
Keyword(s):  
Sugar Cane ◽  
Analytical Method ◽  
Household Income ◽  
Logit Analysis ◽  
Average Income ◽  
Annual Household Income ◽  
Welfare Level ◽  
The Third ◽  
Binary Logit ◽  
Level Analysis

The objectives of this research were to find out the income of sugar cane farming, household income of sugar cane farmers, household welfare level, and factors that affect the welfare level of sugar cane farmer households in Bungamayang Sub-District. The location was determined purposively, considering that Bungamayang Sub-District has been the center of sugar cane production in North Lampung Regency. The number of respondents in this research were 54 farmers taken randomly. Data were collected in April -May 2019.  The analytical method used for the first and second objectives was farm analysis, the third objective used Sajogyo welfare level analysis and the fourth objective used binary logit analysis. The study shows that average income of sugar cane farming is IDR23,161,313.80/hectare.  Average annual household income is IDR44,295,593.33 and the contribution of sugar cane farming income to household income is 57.52 percent.  Based on the criteria of Sajogyo, sugar cane farmer households are included in the sufficient category. Household income positively affects welfare level, while the number of family members negatively affects the welfare level of sugar cane farmers in Bungamayang Sub-District.Key words: farmer households, income, sugar cane, welfare level

scholarly journals ANALISIS PENDAPATAN DAN TINGKAT KESEJAHTERAAN RUMAH TANGGA PETANI UBI KAYU DI KECAMATAN TERBANGGI BESAR KABUPATEN LAMPUNG TENGAH

2021 ◽  
Vol 8 (2) ◽  
pp. 228
Author(s):  
Sony Putra ◽  
Rabiatul Adawiyah ◽  
Achdiansyah Soelaiman
Keyword(s):  
Key Words ◽  
Analytical Method ◽  
Household Income ◽  
Household Welfare ◽  
Average Income ◽  
Welfare Indicators ◽  
Welfare Level ◽  
Cassava Production

The objectives of this research were to find out the income of cassava farming and the contribution to household income, and household welfare level of cassava farmers. The location was determined purposively, considering that Terbanggi Besar Sub-District has been the center of cassava production in Central Lampung Regency. The number of respondents was 66 respondents and taken randomly. Data were collected in July 2019. The analytical method used farm analysis and BPS welfare indicators (2014). This research showed that average income of cassava farmimg was IDR685,276.62 per month and the contribution of cassava farming income to household income was 36.9%.  Based on BPS indicators, cassava farmer households in Terbanggi Besar Sub-District were mostly categorized as not prosperous farmer families. Key words: cassava farmers, household income, welfare level.

scholarly journals STRUKTUR DAN DISTRIBUSI PENDAPATAN SERTA TINGKAT KESEJAHTERAAN RUMAH TANGGA PETANI UBI KAYU DI KABUPATEN LAMPUNG TENGAH

2021 ◽  
Vol 9 (2) ◽  
pp. 17
Author(s):  
Rosi Triafni Nurhayati ◽  
Raden Hanung Ismono ◽  
Yaktiworo Indriani
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Farm Income ◽  
Welfare Level ◽  
Significant Difference ◽  
The Difference ◽  
On Farm ◽  
Level Analysis

This research aimed to analyze the difference of the income structure, the income distribution, and the welfare level of cassava farmer households based on factory location distance from location of cassava farm in Lampung Tengah Regency. The research sample consisted of 42 cassava farmers in Terusan Nunyai Subdistrict and 31 cassava farmers in Bandar Mataram Subdistrict. The data were analyzed using income structure, income distribution, and welfare level analysis based on BPS criteria. The results of this research showed that there was difference in the income structure between cassava farmers in Terusan Nunyai Subdistrict and Bandar Mataram Subdistrict. The income structure of cassava farmers had the highest contribution of the household income from main on-farm income which was 65.75 percent and 78.88 percent. There was also difference in the income distribution between cassava farmer households in Terusan Nunyai Subdistrict and Bandar Mataram Subdistrict. The income distribution of cassava farmer households in Terusan Nunyai Subdistrict was categorized as moderate inequality, welfare in Bandar Mataram Subdistrict was categorized as high inequality. There was no significant difference of the welfare level of cassava farmer households between the two locations. Based on BPS criteria, the welfare level of cassava farmer households in Terusan Nunyai and Bandar Mataram Subdistrict were categorized as prosperous farmer households.Key words: cassava, farmers, income, welfare

scholarly journals EFEKTIVITAS PROGRAM RASTRA DAN PROGRAM BPNT TERHADAP TINGKAT PENDAPATAN DAN KESEJAHTERAAN KELUARGA PENERIMA MANFAAT DI KELURAHAN YUKUM JAYA KECAMATAN TERBANGGI BESAR KABUPATEN LAMPUNG TENGAH

2021 ◽  
Vol 9 (4) ◽  
pp. 661
Author(s):  
Diah Tera Dwi Muthi ◽  
Raden Hanung Ismono ◽  
Yaktiworo Indriani
Keyword(s):  
Household Income ◽  
Positive Relationship ◽  
Stage Iii ◽  
Survey Method ◽  
Average Income ◽  
Welfare Level ◽  
Effectiveness Analysis ◽  
Analysis Methods ◽  
Spearman Test ◽  
The Relationship

This research aimed to determine the implementation, analyze the effectiveness of the implementation, the welfare and income of beneficiaries, the relationship between effectiveness of Rastra and BPNT in addition to the level of income and welfare of beneficiary families in Yukum Jaya Village. The research was conducted by survey method, include location was determined purposively of Yukum Jaya Village. The data was analized qualitative, effectiveness analysis methods, household income, welfare according to the BKKBN and Rank Spearman test. The results showed that the distribution of Rastra and BPNT has not fully complied with the regulations set by Ministry of Social Affairs. The effectiveness of Rastra and BPNT was not effective. The highest average income of Rastra was earned by 7 entrepreneurs in which average income month was Rp5,842,105 and the lowest income was earned by a laundry worker and clothes iron Rp378,947. The highest income of BPNT was earned by 10 vegetables trader with an average income/month of Rp6,659,032 and the lowest income was a tofu trader with an average income/month of Rp587,097. The welfare level of the respondents Rastra was in the stage of prosperous family II (KS II) and prosperous family III (KS III) of BPNT was classified on prosperous family stage III (KS III). There was no positive relationship between the effectiveness of Rastra and BPNT program and the level of income and welfare of beneficiary families.Key words: BPNT, effectiveness, income, Rastra, welfare

scholarly journals STUDI TINGKAT KEMISKINAN RUMAH TANGGA NELAYAN DI KECAMATAN BATULAYAR KABUPATEN LOMBOK BARAT

2019 ◽  
Vol 20 (1) ◽  
pp. 1-9
Author(s):  
Novita Angriani ◽  
Wuryantoro Wuryantoro ◽  
Amiruddin Amiruddin
Keyword(s):  
World Bank ◽  
Low Income ◽  
Household Income ◽  
Fish Farming ◽  
Average Income ◽  
Welfare Level ◽  
Survey Techniques ◽  
The World Bank ◽  
The World ◽  
Standing Problem

ABSTRAK Rendahnya penghasilan nelayan tradisional merupakan masalah yang sudah lama, namun masalah ini masih belum dapat diselesaikan hingga sekarang, karena terlalu kompleks. Hal ini tidak hanya berkaitan dengan sosioekonomi, namun berkait pula dengan lingkungan dan teknologi. Penelitian bertujuan untuk menganlisis pendapatan rumah tangga nelayan dan kontribusi pendapatan yang bersumber dari usaha tanggkapan ikan terhadap pendapatan rumah tangga nelayan, serta menganalisis tingkat kesejahteraan rumahtangga nelayan di Kecamatan Batulayar Kabupaten Lombok Barat. Metode yang digunakan dalam penelitian ini adalah deskriptif, dengan mewawancarai responden sebanyak 35 responden. Data dianalisis secara kuantitatif dan kualitatif selanjutnya dideskripsikan. Hasil penelitian menunjukkan bahwa rata-rata pendapatan rumah tangga nelayan di Kecamatan Batulayar selama sebulan sebesar Rp 1.625.983, kontribusi pendapatan dari usaha penangkapan ikan sebesar 64,65%. Tingkat kemiskinan rumahtangga nelayan di Kecamatan Batulayar Kabupaten Lombok Barat menurut BPS, termasuk kategori miskin namun menurut Bank Dunia dikategorikan tidak miskin. ABSTRACT The low income of traditional fishermen is a long-standing problem, but this problem still cannot be resolved until now, because it  is too complex. This is not only related to socioeconomic problems, but also related to the environment and technologists. The research aims to analyze fishermen's household income and the contribution of income derived from fish farming to the income of fishermen households, and to  analyze the welfare level of fishermen households in Batulayar District,  West Lombok  Regency. The study applied descriptive methods, while collecting data were  done with survey techniques, by interviewing 35 respondent. Collected data were analyzed using  quantitative and qualitative analysis and was subsequently described. The results of the study show the average income of fisherman households in Batulayar District for a month was Rp. 1,625,983, with the contribution of income from fishing  to fishermen's household income by 64.65%. The welfare level of fishermen households in Batulayar District, West Lombok Regency according to BPS is categorized as poor but according to the World Bank it is categorized as not poor

scholarly journals Characterization and prediction of household use of solar home system in Leyte Islands, Philippines

2020 ◽  
pp. 79-103
Author(s):  
Jacqueline Guarte ◽  
Joyce Maurillo ◽  
Jenefrey Niverba
Keyword(s):  
Mobile Phone ◽  
Household Income ◽  
Household Head ◽  
Classification Trees ◽  
Department Of Energy ◽  
Limited Time ◽  
Annual Household Income ◽  
The Third ◽  
Household Members ◽  
Solar Home System

Under the Household Electrification Program ofthe Philippines‘ Department of Energy, 530 solar home systems (SHSs) with 30Wp capacity were installed in individual households in four island barangays (villages) in Leyte and Southern Leyte from 2013 to 2015. Aside from lighting with four LED bulbs,the SHS can also be used to listen to the radio or MP3 player, and charge a mobile phone. This paper examines household use of the SHS thru data collected from 299 beneficiaries interviewed in the period 2017-2018. Results indicated that while all households use the SHS for lighting, its other applications are not utilized as much. A sizable percentage of households are now using only the SHS for lighting in each island barangay. The use of the generator set (for a limited time at night) in partnership with the SHS remains dominant to be able to use the SHS lights longer. Kerosene lamp is now rarely used for lighting except in the absence of a barangay-owned generator set. With a substantial percentage of households using the SHS for lighting only amidst its other applications, classification trees by island barangay were generated to identify the variables which will explain SHS use with both quantitative and qualitative household characteristics making up the predictor space. Although the classification trees grown are unique to each island barangay, age of the household head and annual household income are the consistent significant predictors (up to the third most important) followed by median age of the household members.

scholarly journals PENDAPATAN DAN KESEJAHTERAAN RUMAH TANGGA PEMBUDIDAYA LELE DI KECAMATAN NATAR KABUPATEN LAMPUNG SELATAN

2019 ◽  
Vol 7 (1) ◽  
pp. 60 ◽  
Author(s):  
Faakhira Nadia Syakina ◽  
Yaktiworo Indriani ◽  
Muhammad Irfan Affandi
Keyword(s):  
Household Income ◽  
Secondary Data ◽  
Research Data ◽  
Primary Data ◽  
Farm Income ◽  
Household Welfare ◽  
Average Income ◽  
Welfare Level ◽  
Total Household Income

This research aims to analyze the contribution of catfish cultivation enlargement to household income and the welfare of catfish cultivators household.  The research data was collected in Sub-District of Natar of South Lampung regency in December 2017 - January 2018. Respondents in this research were 30 cultivators of catfish enlargement, chosen on purpose for they have been actively running their business and 4 expert people in catfish cultivation.  Primary data was obtained by interviewing the respondents, while secondary data was obtained from several related institutions. Collected household income was included cultivation income of catfish, off-farm income, and non-farm income.  The level of household welfare was analyzed by three criterias namely Sajogyo, Badan Pusat Statistik (BPS) and Badan Kependudukan dan Keluarga Berencana Nasional (BKKBN).  The  result showed that the average income of catfish cultivators business contributed 44,27 percent of the total household income of Rp52.340.376,00 per year. The household welfare level based on Sajogyo showed that 20 percent of households were in the almost-poor category, 50 percent in moderate, and 30 percent in decent living class. Based on BPS and BKKBN category showed that 20 percent of households were in the less prosperous and 80 percent were prosperous.Key words: catfish, income, welfare

scholarly journals PENDAPATAN DAN KESEJAHTERAAN RUMAH TANGGA PETANI UBIKAYU DI PROVINSI LAMPUNG

2020 ◽  
Vol 8 (1) ◽  
pp. 83-93
Author(s):  
Wan Abbas Zakaria ◽  
Teguh Endaryanto ◽  
Lidya Sari Mas Indah ◽  
I Rani Mellya Sari ◽  
Abdul Mutolib
Keyword(s):  
Household Income ◽  
Logit Model ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Survey Method ◽  
Binary Logit Model ◽  
Binary Logit ◽  
Quantitative Descriptive ◽  
Farming Households ◽  
Level Analysis

This study aims to (1) analyze the level of income and (2) analyze the factors that influence the level of household welfare of cassava farmers. The study was conducted in Gunung Agung Village, Terusan Nunyai District, Central Lampung Regency with a survey method. The sample of farmers 78 respondents was taken by proportional stratified simple random sampling. Data analysis using quantitative descriptive methods include income analysis, welfare level analysis according to BPS and Sayogyo, and using a binary logit model. The results show that the source of household income of cassava farmers is increasingly diverse and leads to off and non-farm activities. Revenue from cassava farming has decreased but is still dominant. Based on BPS and Sayogyo criteria, most cassava farming households are in a decent and prosperous life group. The factors that influence the level of welfare of cassava farmers are the amount of work, cassava farming experience, and household income.

Sentiment Analysis of Comparative Sentences for Chinese Document

2012 ◽  
Vol 157-158 ◽  
pp. 1079-1082
Author(s):  
Guo Shi Wu ◽  
Xiao Yin Wu ◽  
Jing Jing Wei
Keyword(s):  
Sentiment Analysis ◽  
Opinion Mining ◽  
Sentiment Classification ◽  
The Third ◽  
Sentence Patterns ◽  
Simple Sentences ◽  
Document Level ◽  
Level Analysis

One of the most widely-studied sub-problems of opinion mining is sentiment classification, which includes three study levels: word, sentence and document. At the third level, most of the existing methods ignore comparative sentences which have particular sentence patterns and may lower the precision of the document-level analysis. This paper studies sentiment analysis of comparative sentences. The aim is to determine whether opinions expressed in a comparative sentence are positive or negative. Experiments of comparing with document-level sentiment analysis based on simple sentences shows the effectiveness of the proposed method.

Associations of Quantity Smoked and Socioeconomic Status With Smoke-Free Homes and Cars Among Daily Smokers

2021 ◽  
pp. 109019812110104
Author(s):  
Annie Pelekanakis ◽  
Jennifer L. O’Loughlin ◽  
Katerina Maximova ◽  
Annie Montreuil ◽  
Jodi Kalubi ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Logistic Regression ◽  
Household Income ◽  
Employment Status ◽  
Telephone Survey ◽  
Low Ses ◽  
Annual Household Income ◽  
Cross Sectional ◽  
Shs Exposure ◽  
Independent Association

Introduction An association between socioeconomic status (SES) and smoke-free private spaces among smokers could be due to heavier smoking among low SES smokers. We assessed whether quantity smoked or SES are independently associated with smoke-free homes or cars in daily smokers. Method Data were drawn from a cross-sectional telephone survey (2011–2012) of 750 daily smokers age ≥18 years in Quebec, Canada (45% response). Multivariable logistic regression was used to model the independent association between (a) number of cigarettes smoked per day, and (b) each of educational attainment, annual household income, or active employment status and smoke-free homes or cars. Results Participants were 41.0 years old on average, 57% were female. Median (IQR) number of cigarettes smoked per day was 14 (10, 20). Forty-eight percent of participants reported smoke-free homes; 34% reported smoke-free cars. Quantity smoked was strongly associated with both smoke-free homes and cars. Income and education (but not actively employed) were associated with smoke-free homes. None of the SES indicators were associated with smoke-free cars. Conclusions Interventions targeting smokers to promote smoke-free homes and cars should incorporate components to help smokers reduce quantity smoked or preferably, to quit. Interventions targeting smoke-free homes will also need to address SES inequalities by education and income. Our data suggest that reduction in quantity smoked may help smokers reduce SHS exposure in cars, but that an inequality lens may not be relevant.

The Effect of Louisiana Medicaid Expansion on Affordability of Health Care

2021 ◽  
pp. 003335492110414
Author(s):  
Yixue Shao ◽  
Charles Stoecker
Keyword(s):  
Health Care ◽  
Household Income ◽  
Analytical Models ◽  
Behavioral Risk ◽  
Medicaid Expansion ◽  
Poverty Level ◽  
Annual Household Income ◽  
Difference In Differences ◽  
Percentage Points ◽  
Health Care Affordability

Objectives Louisiana extended Medicaid coverage on July 1, 2016, to previously ineligible populations. We aimed to estimate the effect of Louisiana’s Medicaid expansion on self-reported affordability of health care. Methods We used 2011-2019 data from the Behavioral Risk Factor Surveillance System (BRFSS). The BRFSS measured affordability of health care by asking respondents 2 questions: (1) whether they could not see a doctor due to cost in the previous 12 months and (2) whether they could not get a prescribed medication due to cost in the previous 12 months. We estimated difference-in-differences and difference-in-difference-in-differences analytical models using multivariable linear regression that compared trends in Louisiana with trends in states that did not expand Medicaid during the study period. Results Compared with adults aged <65 with annual household income >138% of the federal poverty level (FPL) in nonexpansion states, Medicaid expansion in Louisiana decreased the percentage of adults aged <65 with annual household income ≤138% FPL who reported being unable to see a doctor due to cost by 5.1 percentage points (95% CI, −6.5 to −3.6; P < .001) and unable to afford prescribed medication by 7.9 percentage points (95% CI, −9.2 to −6.6; P < .001). We found similar estimates when we limited the comparison group to Southern nonexpansion states. Conclusions Louisiana’s Medicaid expansion lowered cost barriers to health care. Further research may find improvements in health care affordability in states that have not yet expanded Medicaid.

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