Improving Human Development Index (HDI) by Illiteracy Eradication (Case Study in  Cibadak Village)

Juliannisa, Indri Arrafi; Siswantini, Tri

doi:10.33059/jseb.v11i1.1784

Cited by 6 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Salah satu komponen yang mempengaruhi tingkat kemiskinan adalah Indeks Pembangunan Manusia (IPM), karena IPM berbanding lurus dengan kemampuan ekonomi masyarakat. IPM didasarkan pada tiga dimensi yaitu tingkat harapan hidup saat lahir, tingkat melek huruf, tahun sekolah rata-rata, dan paritas daya beli (Juliannisa & Siswantini, 2019).…”

Section: Pendahuluanunclassified

Klasifikasi Status Kemiskinan Menggunakan Algoritma Random Forest

Syaidatussalihah

Abdurahim²

2022

EMJ

View full text Add to dashboard Cite

Kemiskinan merupakan persoalan mendasar karena menyangkut pemenuhan kebutuhan dasar masyarakat. Di Provinsi NTB, tidak sedikit rumah tangga yang hidup di bawah garis kemiskinan. Salah satu penyebabnya adalah belum optimalnya upaya pemerintah dalam menurunkan tingkat kemiskinan. Oleh karena itu, perlu diklasifikasi faktor-faktor yang mempengaruhi tingkat kemiskinan sehingga dapat digunakan sebagai acuan dalam mengambil kebijakan untuk mengurangi tingkat kemiskinan. Salah satu metode untuk klasifikasi adalah metode Random Forest. Metode Random Forest dengan nilai mtry dan ntree optimal masing-masing yaitu dan menghasilkan tingkat akurasi sebesar 81,3%. Hal ini berarti ketepatan metode klasifikasi Random Forest untuk data ini sudah sangat baik. Adapun faktor yang paling berpengaruh dalam menentukan status kemiskinan berdasarkan analisis Random Forest adalah variabel penghasilan dengan dengan nilai Mean Decrease Accuracy sebesar 23,92%. Variabel ini yang memiliki paling nilai Mean Decrease Accuracy tinggi diantara variabel atribut yang lainnya. Keywords: Kemiskinan, Random Forest, Mean Decrease Accuracy

show abstract

Section: Pendahuluanunclassified

Klasifikasi Status Kemiskinan Menggunakan Algoritma Random Forest

Syaidatussalihah

Abdurahim²

2022

EMJ

View full text Add to dashboard Cite

show abstract

“…The number of unemployed people in Banten Province was 499 people. Of course, the unemployment rate is still reasonably high, and it is necessary to optimize employment absorption (Juliannisa and Siswantini, 2020).…”

Section: Regional Economic Potential and Msmesmentioning

confidence: 99%

MAPPING FINANCIAL POTENTIAL OF SMALL AND MEDIUM ENTERPRISES (SMEs) AND THE ECONOMIC SECTOR OF SERANG DISTRICT

Juliannisa

Siswantini

2021

ijbe

Self Cite

View full text Add to dashboard Cite

The existence of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia is considered as an economic buffer for three main reasons: 1) better performance at producing a productive workforce; 2) productivity increase through investment and actively following changes in technology; and 3) flexibility advantage compared to large business. The number of human resources who have the potential to become SME actors in Serang District is currently quite large, and the industrial sector is a superior sector that provides the largest contribution to the GRDP of Serang District. The purposes of this study were to find out how to map the financial potential of SMEs in Serang District and how to grow and map the economic sector in Serang District. This study used quantitative and qualitative analysis techniques (mixed methods), focusing on field conditions and the community in the studied area. This study found things that could increase MSMEs' financial potential in Serang District, namely capital, licensing, and product quality and marketing. Based on LQ analysis, the agricultural sector's outputs could be exported and expand the trade market share in other countries. Besides, Serang District is located in quadrant 3, with five potential economic sectors that could be developed further. Other economic sectors' potentials could be explored by subsector and be developed further.

show abstract

“…This ranking shows that Indonesia is still behind other countries. According to the Central Statistics Agency (BPS), in Indonesia, the Special Capital Region (DKI) Jakarta and the Special Region (DI) Yogyakarta are ranked first and second in human development (Asri et al 2019), and the Banten province, one of the young provinces established in 2000, occupies the 17th HDI position with a score of 70.96 in the high category (Juliannisa & Siswantini, 2019). Even though HDI is in the high category, poverty cases in Banten Province are still relatively high, one of which is human development.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Zakat Management in Banten Province on Improving the Quality of the Mustahiq Family

Riswandi,

Syafei,

Athoillah

et al. 2024

Int. J. Ihya’ ’Ulum al-Din

View full text Add to dashboard Cite

Indonesia is still having difficulty overcoming the classic problems of wide disparities in wealth and high levels of extreme poverty. One solution that is an instrument for dealing with the phenomenon of extreme poverty and wealth disparities is zakat management. This study analyzes Zakat management's influence on fiscal, economic growth, and poverty on human development in Banten Province. This research uses a quantitative approach with a descriptive analysis method. The location of this research is in Banten Province. The data of sekunder with secondary data interval 2010-2019, and descriptive analysis method. The data collection using observation and documentation techniques. At the same time, the data analysis is through the classical assumption test, normality test and hypothesis testing. This study's results indicate that Zakat has a higher and positive and significant correlation between the variables of zakat on the human development index (HDI), meaning that the higher the role of zakat, the higher the Human Development Index (HDI). The enormous potential of zakat, if managed with correct, healthy, and accountable management, will be able to lift Mustahiq from the brink of poverty and become economically and fiscally empowered in the domestic family so that it can increase the human development index significantly. Therefore, related parties, namely the local government, BAZNAS, and the muzakki, are recommended to synergize to develop human development policy programs in Banten province.

show abstract

Improving Human Development Index (HDI) by Illiteracy Eradication (Case Study in Cibadak Village)

Cited by 6 publications

References 5 publications

Klasifikasi Status Kemiskinan Menggunakan Algoritma Random Forest

Klasifikasi Status Kemiskinan Menggunakan Algoritma Random Forest

MAPPING FINANCIAL POTENTIAL OF SMALL AND MEDIUM ENTERPRISES (SMEs) AND THE ECONOMIC SECTOR OF SERANG DISTRICT

The Impact of Zakat Management in Banten Province on Improving the Quality of the Mustahiq Family

Contact Info

Product

Resources

About