Claim Missing Document
Check
Articles

Found 12 Documents
Search
Journal : Prosiding Seminar Nasional Official Statistics

POLA KONSUMSI, ELASTISITAS PENDAPATAN, SERTA VARIABEL-VARIABEL SOSIAL EKONOMI YANG MEMENGARUHI PENGELUARAN KONSUMSI RUMAH TANGGA Chaterina Dwi Puspita; Neli Agustina
Seminar Nasional Official Statistics Vol 2019 No 1 (2019): Seminar Nasional Official Statistics 2019
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.364 KB) | DOI: 10.34123/semnasoffstat.v2019i1.46

Abstract

Pengeluaran konsumsi rumah tangga merupakan indikator utama kesejahteraan rumah tangga. Pengeluaran konsumsi rumah tangga memiliki share terbesar terhadap Produk Domestik Regional Bruto (PDRB) di Provinsi Bengkulu, yaitu 64,80 persen pada tahun 2017. Selain itu, rata-rata laju pertumbuhan Produk Domestik Regional Bruto (PDRB) Provinsi Bengkulu (5,63 persen) lebih tinggi dari pada rata-rata laju pertumbuhan Produk Domestik Bruto (PDB) nasional (5,27 persen) pada tahun 2012-2017. Namun, pembangunan ekonomi yang baik di Provinsi Bengkulu tidak diikuti dengan rendahnya angka kemiskinan yang dapat menggambarkan kesejahteraan rumah tangga di provinsi tersebut. Angka kemiskinan Provinsi Bengkulu berada di atas angka kemiskinan nasional pada tahun 2012-2017. Penelitian ini bertujuan untuk menganalisis gambaran umum pola konsumsi dan kesejahteraan di Provinsi Bengkulu serta pengaruh perubahan pendapatan (elastisitas pendapatan) dan karakteristik rumah tangga terhadap pola konsumsi makanan dan bukan makanan. Analisis data dilakukan dengan menggunakan Fungsi Engel Kuadratik dan metode regresi berganda dengan estimasi Robust. Hasil penelitian menunjukkan tingginya angka kemiskinan di Provinsi Bengkulu sejalan dengan pola konsumsi untuk rumah tangga, baik miskin maupun tidak miskin, yang masih memiliki rata-rata proporsi pengeluaran konsumsi untuk makanan lebih besar daripada bukan makanan. Pengeluaran konsumsi rumah tangga di perdesaan lebih responsif terhadap perubahan pendapatan rumah tangga serta pendapatan dan karakteristik rumah tangga signifikan terhadap proporsi pengeluaran konsumsi untuk beberapa komoditas makanan dan bukan makanan.
APLIKASI REGRESI DATA PANEL DALAM MENGANALISIS POTENSI DIVERSIFIKASI PASAR EKSPOR KAKAO OLAHAN INDONESIA KE NEGARA NON-TRADISIONAL TAHUN 2002-2018 Prawesty Dian Utami; Neli Agustina
Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (323.616 KB) | DOI: 10.34123/semnasoffstat.v2020i1.534

Abstract

Sejak diberlakukan peraturan Menteri Keuangan No. 67/PMK.011/2010 tentang penetapan barang ekspor yang dikenakan Bea Keluar dan Tarif Bea Keluar, ekspor kakao dalam bentuk biji mengalami penurunan dan ekspor kakao olahan mulai meningkat. Namun, tingkat ketergantungan ekspor kakao olahan ke negara tradisional cukup tinggi. Terkonsentrasinya ekspor ke pasar tertentu dapat mengakibatkan kinerja ekspor rentan akan guncangan ekonomi yang terjadi pada pasar tersebut. Sehingga strategi yang dapat dilakukan Indonesia adalah melakukan diversifikasi pasar ekspor kakao olahan supaya kinerja ekspor lebih optimal. Penelitian ini bertujuan untuk mengidentifikasi negara non-tradisional yang berpotensi untuk pasar ekspor kakao olahan Indonesia dengan menggunakan analisis Export Product Dynamic (EPD) serta menganalisis variabel yang mempengaruhi ekspor kakao olahan ke negara non-tradisional tahun 2002-2018. Hasil penelitian menunjukkan bahwa negara Afrika Selatan, New Zealand, dan Turki memiliki potensi bagi diversifikasi pasar ekspor kakao olahan Indonesia. Hasil analisis regresi data panel menunjukkan PDB riil per kapita, harga ekspor kakao olahan, volume ekspor kakao olahan selain dari Indonesia, dan nilai tukar memiliki pengaruh positif signifikan terhadap volume ekspor kakao olahan.
APLIKASI REGRESI DATA PANEL DALAM MENENTUKAN DETERMINAN DEFORESTASI DI KALIMANTAN PERIODE 2014-2018 Dyah Nur Isnaini; Neli Agustina
Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.149 KB) | DOI: 10.34123/semnasoffstat.v2020i1.570

Abstract

Kalimantan merupakan wilayah dengan luas hutan terbesar namun memiliki angka deforestasi tertinggi di Indonesia. Berbagai kegiatan menjadi penyebab tingginya deforestasi di Kalimantan. Penelitian ini bertujuan untuk melihat pengaruh aktivitas penebangan hutan dan konversi lahan terhadap deforestasi di Kalimantan tahun 2014-2018 menggunakan regresi data panel. Variabel luas Izin Usaha Pemanfaatan Hasil Hutan Kayu (IUPHHK) dan Produk Domestik Regional Bruto (PDRB) subkategori kehutanan dan penebangan kayu yang menggambarkan aktivitas penebangan hutan berpengaruh signifikan positif, sedangkan variabel kepadatan penduduk dan luas area nonhutan yang menggambarkan aktivitas konversi lahan masing-masing berpengaruh signifikan negatif dan positif terhadap deforestasi di Kalimantan tahun 2014-2018.
Aplikasi Regresi Complementary Log-Log untuk Menganalisis Tingkat Kejahatan Terhadap Perempuan di Kalimantan Tengah Tahun 2019 Dhika Aulia Yusram; Neli Agustina
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.177 KB) | DOI: 10.34123/semnasoffstat.v2021i1.861

Abstract

The risk of experiencing a crime can unsettle the community in guaranteeing a sense of security. Women are victims who have a vulnerability to experience serious situations when experiencing crime. Central Kalimantan is the province with the highest percentage of women experiencing violence in Indonesia where women experiencing crime increased in 2019. Only 20.01% of the people of Central Kalimantan reported incidents of crime they experienced. The low awareness of reporting crimes to the authorities and increasing crimes against women can increase the potential for women to continue to experience crime. This study aims to analyze the level of crime against women and the factors that influence it in Central Kalimantan in 2019. The results of the study using the complementary log-log method show that marital status, cellphone ownership status, education completed and working status significantly affect crimes against women. the risk of experiencing crime increases if the woman is unmarried, has a cellphone, graduated from college and works. Women are still vulnerable to being in the public area so that the government's attitude is needed in designing crime prevention strategies, it can be in the form of increasing knowledge to the public about the risks of crime and what to do if they experience it.
Analisis Variabel yang Memengaruhi Harga Properti Residensial Tipe Kecil di 16 Kota Indonesia Tahun 2015-2019 Aisyah Bintang; Neli Agustina
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.361 KB) | DOI: 10.34123/semnasoffstat.v2021i1.871

Abstract

Private residence is a basic need that must be fulfilled. The housing development policy in the 2015-2019 RPJMN is aimed at increasing public access (especially low-income communities) for decent housing. However, the high price of residential property has a big impact for low-income communities. Therefore, this study will examine the determinants of small-type residential property prices in 16 Indonesian cities 2015-2019. The analytical method used in this research is panel data regression analysis with SUR. The results showed that the variable monthly wages of construction workers and regional GDP were positively affecting small-type RPPI. Meanwhile, the regional GDP share’s of construction, the realization of FLPP, and unemployment rate have a significant negative effect on small type residential property index. Through this research, the government is expected to provide the right policy so that the needs of residential property for low income communities can be fulfilled.
Analisis Penyerapan Tenaga Kerja Terdidik Sektor Industri Pengolahan di Pulau Jawa Tahun 2011-2019 Ahdiyaty Rahmi A. Suaib; Neli Agustina
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.16 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1162

Abstract

The manufacturing sector as the leading sector provides the largest contribution to GDP in Indonesia. The Java economic corridor is focused on encouraging national industry because Java Island is an industrial center for Indonesia which is expected to be able to absorb a large number of workers so that it can overcome unemployment. However, in reality, the unemployment rate in Java is still relatively high compared to other islands and nationally. In addition, unemployment in Java is still dominated by educated unemployed, so the absorption of labor, especially educated workers, is not optimal in the manufacturing sector. Therefore, the purpose of this study is to analyze the variables that affect the absorption of educated labor in the manufacturing sector in Java Island from 2011-2019. The results of panel regression analysis with Fixed Effect Model (FEM) show that GRDP and investment in the manufacturing sector have a positive and significant effect, UMR has a negative and significant effect. In contrast, the number of industrial business units does not affect the absorption of educated workers in the manufacturing industry. The conclusion is that GRDP and investment have an effect on increasing the absorption of an educated workforce, so it is hoped that the results of this study can be the basis for consideration for policies to increase industrial output and facilitate investment flows so as to optimize the absorption of educated workers.
Determinan Kejadian Putus Sekolah di Provinsi Kepulauan Bangka Belitung Tahun 2021 Resky Amelia; Neli Agustina
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.372 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1288

Abstract

The country’s economic growth cannot be separated from quality of human resources (HR) that one of benchmark is level of education. Bangka Belitung is one of the province with dropout rate above the national level. This study aims to analyze the effect of 7-18 year old children demographic socioeconomic characteristics on the school dropouts in the Province of Kepulauan Bangka Belitung in 2021. By applying descriptive analysis, the results obtained a general picture that the number of dropouts in Province of Kepulauan Bangka Belitung in 2021 is increasing along with the increasing level of education. Result of binary logistic regression analysis show that PIP utilization status, household head work status, home ownership status, number of household members, household head education level, and residential area status had a significant effect on dropouts in the Bangka Belitung Islands Province in 2021. The results of this analysis are expected to be the basis for local governments in determining policies and steps to reduce the number of dropouts.
Analisis Faktor-Faktor yang Memengaruhi Status Kemiskinan Ekstrem Rumah Tangga di Provinsi Maluku Tahun 2021 Faujan, La Ode; Agustina, Neli
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1639

Abstract

Extreme poverty is a global issue contained in SDG's first goal. Indonesia through the National Team for the Acceleration of Poverty Reduction (TNP2K) is committed to eradicating extreme poverty, namely zero percent by the end of 2024. Based on the results of the 2021 TNP2K study, 5 districts/cities in Maluku were selected as priority areas for extreme poverty eradication in Indonesia. Therefore, the purpose of this study is to analyze the influence of household characteristics on extreme poverty status in Maluku in 2021. The results of the study using data from the March 2021 national socio-economic survey (Susenas) and the binary logistic regression analysis method show that at a significance level of 5 percent the number household members, building resilience, occupancy density, main source of lighting, and Non-Cash Food Assistance (BPNT) have a significant effect on the extreme poverty status of households in Maluku in 2021. In conclusion, to eradicate extreme poverty in Maluku, the government can prioritize improving the quality of facilities and supporting infrastructure for inter-island connectivity in Maluku, clove and nutmeg productivity development, industrialization of the fisheries sector through Lumbung Ikan Nasional (LIN) in Maluku, increased counseling on Keluarga Berencana (KB) program, KB villages, a livable housing program both from the aspect of building resilience and density housing, equitable access to electricity, and evaluating the list of beneficiaries of the BPNT program. For the sustainability of this research, regional variables such as village funds can be considered.
Aplikasi Model ARIMA dalam Peramalan Produk Domestik Regional Bruto (PDRB) Pertambangan dan Penggalian Kalimantan Selatan Hayati, Lia Aulia; Agustina, Neli
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2055

Abstract

The Gross Regional Domestic Product (GRDP) of the mining and quarrying sector is one of the leading sectors in South Kalimantan. However, the limitations in mining and quarrying resources pose a threat to the economy of South Kalimantan. Forecasting is conducted to assess the prospects of the mining and quarrying sector, especially since the government's National Medium-Term Development Plan for 2020-2024 targets an economic growth rate for the mining sector of 1.9 - 2.0 percent. This study aims to forecast the GRDP of the mining and quarrying sector in South Kalimantan using the ARIMA model. The research results indicate that the best model is ARIMA (2,1,4) with a Mean Absolute Percentage Error (MAPE) accuracy level of 5.054 percent. The GRDP of the mining and quarrying sector is projected to continue increasing in 2024. The findings of this study are expected to provide information for stakeholders to formulate relevant policies to sustain and enhance the mining sector, particularly in South Kalimantan, given its significant employment generation capacity.
Peramalan Nilai Tukar Petani Subsektor Tanaman Pangan di Nusa Tenggara Timur Menggunakan Metode SARIMA Muzaki, Fais; Agustina, Neli
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2064

Abstract

The economy in East Nusa Tenggara (NTT) is dominated by the agricultural sector with the largest contribution to the NTT PDRB in 2023. In the same year NTT became the province with the lowest farmer’s terms of trade (NTP) and becoming a benchmark of farmer welfare in NTT is not good enough. Therefore, this study aims to analyze the general picture of NTPP in NTT in the January 2016 – June 2024 data period and predict some future period with SARIMA method. Forecasts with the ARIMA model (0,1,0)(0,1,1)12 produced a MAPE of 2,3553%. The results of the forecasts for the next year for the period July 2024 – June 2025, indicate that the NTPP figure is below 100, meaning that food crops farmers in the NTT are not well enough. The outcome of this forecast is expected to be considered by the government in an effort to improve the well-being of food crops farmers.