Articles
<![CDATA[Dampak Kebijakan Desentralisasi Fiskal, Kinerja Ekonomi terhadap Indikator Pembangunan di Pulau Papua ]]>
<![CDATA[Neli Agustina]]>;
<![CDATA[Ilma Ainun Fitriana]]>
<![CDATA[ Jurnal Aplikasi Statistika & Komputasi Statistik Vol 11 No 1 (2019): Journal of Statistical Application and Computational Statistics ]]>
Publisher : <![CDATA[Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS ]]>
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DOI: 10.34123/jurnalasks.v11i1.165
<![CDATA[Desentralisasi fiskal diharapkan dapat mempercepat pelayanan publik, pengembangan potensi daerah, meningkatkan perekonomian dan kesejahteraan. Namun, keadaan tersebut tidak berlaku pada setiap provinsi, seperti Provinsi Papua dan Papua Barat memiliki belanja modal diatas rata-rata dan laju pertumbuhan ekonomi yang tinggi, namun indikator pembangunan daerah masih memprihatinkan. Penelitian ini bertujuan untuk mengetahui hubungan antara desentralisasi fiskal dan kinerja ekonomi terhadap indikator pembanguan daerah. Dengan menggunakan analisis Structural Equation Modelling - Partial Least Square (SEM-PLS), hasilnya menunjukkan terdapat hubungan yang positif antara desentralisasi fiskal terhadap kinerja ekonomi. Selain itu, juga terdapat hubungan yang positif antara desentralisasi fiskal dan kinerja ekonomi terhadap indikator pembangunan. Kata kunci—desntralisasi fiskal, kinerja ekonomi, indikator pembangunan, PLS-SEM]]>
<![CDATA[Sosialisasi Dan Pendampingan Pembuatan Nomor Induk Berusaha (NIB) Di Desa Santong Kecamatan Kayangan Kabupaten Lombok Utara ]]>
<![CDATA[Bagus Dwi Hari Setyono]]>;
<![CDATA[Baiq Dinda Inges Mutiara Hati]]>;
<![CDATA[Nova Aji Saputra]]>;
<![CDATA[Neli Agustina]]>
<![CDATA[ Jurnal Pengabdian Magister Pendidikan IPA Vol 5 No 3 (2022): Juli - September ]]>
Publisher : <![CDATA[Universitas Mataram ]]>
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DOI: 10.29303/jpmpi.v4i3.2010
<![CDATA[Santong Village has abundant plantation and agricultural products such as cloves, bananas, and coffee. So, it is not surprising that in Santong Village there are many business actors or MSMEs (Micro, Small and Medium Units) banana sale, coffee or other businesses. The large number of business actors and MSMEs in Santong Village who do not yet have a NIB business license (Business Identification Number) makes the University of Mataram (Unram) Thematic KKN 2022 in collaboration with the North Lombok Regency Investment and Business Social Service, The Sheep Indonesia Foundation, and Santong Village-Owned Enterprises (BUMDes) to hold socialization activities and make NIB for business actors and MSMEs in Santong Village. The purpose of holding this socialization activity is so that business actors and MSMEs in Santong Village understand the importance of having a NIB business license. The method of socialization uses means; First, students of the 2022 Santong Village Unram Thematic KKN held a discussion with the Sheep Indonesia foundation regarding the implementation of socialization and making NIB for business actors and MSMEs in Santong Village who do not yet have NIB. Second, students of the 2022 Santong Village Unram Thematic KKN notify and disseminate information about the implementation of socialization and making NIB to all business actors and MSMEs who do not yet have a NIB business license and are in Santong Village. Third, the Unram Thematic KKN together with the North Lombok District investment and business social service, the Sheep Indonesia Foundation, and Santong BUMDes carried out socialization on the importance of having NIB for business actors and MSMEs. Fourth, Unram Thematic KKN helps the process of making emails for business actors and MSMEs who do not have an active email so that later when the process of making a NIB business license runs smoothly. Fifth, the social office of investment and business along with the Unram Thematic KKN made the NIB and immediately distributed the NIB business license in sheet form after the NIB manufacturing process was successful. It is hoped that with the socialization and creation of NIB by the Unram Thematic KKN Santong Village 2022 can provide awareness of the importance of having a NIB business license for business actors or MSMEs who want to run their business.]]>
<![CDATA[POLA KONSUMSI, ELASTISITAS PENDAPATAN, SERTA VARIABEL-VARIABEL SOSIAL EKONOMI YANG MEMENGARUHI PENGELUARAN KONSUMSI RUMAH TANGGA ]]>
<![CDATA[Chaterina Dwi Puspita]]>;
<![CDATA[Neli Agustina]]>
<![CDATA[ Seminar Nasional Official Statistics Vol 2019 No 1 (2019): Seminar Nasional Official Statistics 2019 ]]>
Publisher : <![CDATA[Politeknik Statistika STIS ]]>
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DOI: 10.34123/semnasoffstat.v2019i1.46
<![CDATA[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.]]>
<![CDATA[APLIKASI REGRESI DATA PANEL DALAM MENGANALISIS POTENSI DIVERSIFIKASI PASAR EKSPOR KAKAO OLAHAN INDONESIA KE NEGARA NON-TRADISIONAL TAHUN 2002-2018 ]]>
<![CDATA[Prawesty Dian Utami]]>;
<![CDATA[Neli Agustina]]>
<![CDATA[ Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020 ]]>
Publisher : <![CDATA[Politeknik Statistika STIS ]]>
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DOI: 10.34123/semnasoffstat.v2020i1.534
<![CDATA[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.]]>
<![CDATA[APLIKASI REGRESI DATA PANEL DALAM MENENTUKAN DETERMINAN DEFORESTASI DI KALIMANTAN PERIODE 2014-2018 ]]>
<![CDATA[Dyah Nur Isnaini]]>;
<![CDATA[Neli Agustina]]>
<![CDATA[ Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020 ]]>
Publisher : <![CDATA[Politeknik Statistika STIS ]]>
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DOI: 10.34123/semnasoffstat.v2020i1.570
<![CDATA[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.]]>
<![CDATA[Aplikasi Regresi Complementary Log-Log untuk Menganalisis Tingkat Kejahatan Terhadap Perempuan di Kalimantan Tengah Tahun 2019 ]]>
<![CDATA[Dhika Aulia Yusram]]>;
<![CDATA[Neli Agustina]]>
<![CDATA[ Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021 ]]>
Publisher : <![CDATA[Politeknik Statistika STIS ]]>
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DOI: 10.34123/semnasoffstat.v2021i1.861
<![CDATA[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.]]>
<![CDATA[Analisis Variabel yang Memengaruhi Harga Properti Residensial Tipe Kecil di 16 Kota Indonesia Tahun 2015-2019 ]]>
<![CDATA[Aisyah Bintang]]>;
<![CDATA[Neli Agustina]]>
<![CDATA[ Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021 ]]>
Publisher : <![CDATA[Politeknik Statistika STIS ]]>
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DOI: 10.34123/semnasoffstat.v2021i1.871
<![CDATA[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.]]>
<![CDATA[Analisis Penyerapan Tenaga Kerja Terdidik Sektor Industri Pengolahan di Pulau Jawa Tahun 2011-2019 ]]>
<![CDATA[Ahdiyaty Rahmi A. Suaib]]>;
<![CDATA[Neli Agustina]]>
<![CDATA[ Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022 ]]>
Publisher : <![CDATA[Politeknik Statistika STIS ]]>
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DOI: 10.34123/semnasoffstat.v2022i1.1162
<![CDATA[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.]]>
<![CDATA[Determinan Kejadian Putus Sekolah di Provinsi Kepulauan Bangka Belitung Tahun 2021 ]]>
<![CDATA[Resky Amelia]]>;
<![CDATA[Neli Agustina]]>
<![CDATA[ Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022 ]]>
Publisher : <![CDATA[Politeknik Statistika STIS ]]>
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DOI: 10.34123/semnasoffstat.v2022i1.1288
<![CDATA[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.]]>
<![CDATA[Analysis of Indonesian Domestic Tourist Quality: Case Study: Domestic Tourist Digital Survey 2021 ]]>
<![CDATA[Martha Zalukhu]]>;
<![CDATA[Neli Agustina]]>
<![CDATA[ Proceedings of The International Conference on Data Science and Official Statistics Vol. 2023 No. 1 (2023): Proceedings of 2023 International Conference on Data Science and Official St ]]>
Publisher : <![CDATA[Politeknik Statistika STIS ]]>
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DOI: 10.34123/icdsos.v2023i1.350
<![CDATA[Domestic tourism is being the main focus of the government strategy to revitalize the tourism sector. It is then crucial to consider elements that can raise the quality of tourism, in terms of domestic tourists and increase the added value rather than merely number of trips. The analysis of quality is important in tourism to support the idea of sustainable tourism, which is promoted in the 8th agenda of Sustainable Development Goals (SDGs). Quality analysis must be done in micro modelling that takes into account tourist characteristics and particular travel-related features because this sector depends on tourism demand and tourist expenditure in tourist locations. Thus, the goal of this study is to give a general overview of the qualities and characteristics of domestic tourists and to examine how these attributes affect their quality. The results of descriptive analysis method indicate that Indonesian domestic visitors’ quality remains poor. Age, genders, education level, employment status, transportation mode, accommodation type and travel companion affect the quality of domestic tourists.]]>
