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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Prosiding Seminar Nasional Official Statistics
Budyanra Budyanra
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Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Social Sciences

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DETERMINAN CAPAIAN IMUNISASI DASAR LENGKAP PADA ANAK USIA 12-35 BULAN DI PROVINSI ACEH TAHUN 2017 Yudi Dharma; Budyanra Budyanra
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 (196.571 KB) | DOI: 10.34123/semnasoffstat.v2020i1.445

Abstract

Imunisasi merupakan salah satu intervensi kesehatan terbukti paling cost-effective, karena dapat mencegah dan mengurangi kejadian kesakitan, kecacatan, serta kematian yang diperkirakan terdapat 2 hingga 3 juta kematian pada anak di Indonesia setiap tahunnya. Selain itu, pada tahun 2017, cakupan imunisasi dasar di Indonesia mengalami penurunan di mana Provinsi Aceh termasuk dalam tiga provinsi yang cakupannya terendah. Penelitian ini bertujuan untuk mengetahui karakteristik orang tua dan anak, dan apa saja variabel-variabel yang memengaruhi status kelengkapan imunisasi dasar anak usia 12-35 bulan di Provinsi Aceh pada tahun 2017, penelitian ini menggunakan data mentah SDKI tahun 2017 dengan menggunakan metode statsitik analisis regresi logistik ordinal. Hasil yang didapatkan dari penelitian ini yakni variabel usia ibu, pekerjaan ibu, pemeriksaan kehamilan, tempat persalinan berpengaruh signifikan terhadap status kelengkapan cakupan imunisasi dasar anak usia 12-35 bulan di Provinsi Aceh tahun 2017. Diantara 4 variabel tersebut, terdapat variabel pemeriksaan kehamilan ibu yang melakukan antenatal care-nya lebih dari 4 kali, memiliki kecenderungan paling besar diantara variabel yang lainnya terhadap cakupan kelengkapan imunisasi pada anak.
DAYA SAING DAN VARIABEL-VARIABEL YANG MEMENGARUHI NILAI EKSPOR BAN KARET INDONESIA KE SEPULUH NEGARA IMPORTIR TERBESAR DI DUNIA TAHUN 2001-2018 Davin Giovanni Batara Francisco Nainggolan; Budyanra Budyanra
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 (728.555 KB) | DOI: 10.34123/semnasoffstat.v2020i1.538

Abstract

Indonesia adalah produsen karet alam terbesar kedua di dunia, namun Indonesia hanya bisa mengekspor karet alam tanpa mengolahnya lebih lanjut. Menurunnya harga karet alam di dunia sejak 2011 juga menekan kinerja ekspor karet alam Indonesia. Untuk mengatasi hal tersebut, Indonesia perlu mengekspor barang olahan dari karet, yaitu ban karet berkode HS 4011. Hal ini karena tingginya permintaan impor ban karet dari seluruh dunia dan ban karet Indonesia belum banyak diekspor ke negara-negara importir ban karet terbesar di dunia yang menjadi pasar terbesar ban karet di dunia. Maka, penelitian ini bertujuan untuk melihat daya saing ban karet Indonesia dan variabel-variabel yang mempengaruhi nilai ekspor ban karet Indonesia ke sepuluh negara importir terbesar ban karet di dunia tahun 2001-2018. Variabel-variabel yang digunakan ialah PDB riil perkapita negara tujuan, harga ekspor di negara tujuan, jumlah penduduk negara tujuan dan nilai tukar nominal Dolar AS terhadap Rupiah. Metode yang akan digunakan adalah Revealed Symmetrical Comparative Advantage (RSCA) dan analisis data panel. Hasil penelitian ini adalah ban karet Indonesia memiliki keunggulan komparatif di sepuluh negara importir ban karet terbesar di dunia. Hasil lainnya ialah PDB riil perkapita dan jumlah penduduk negara tujuan berpengaruh positif terhadap nilai ekspor ban karet Indonesia, sedangkan harga ekspor di negara tujuan dan nilai tukar nominal Dolar AS terhadap Rupiah berpengaruh negatif terhadap nilai ekspor ban karet Indonesia.
Determinan Status Keterbukaan Diri Mahasiswa Tingkat Akhir Muhammad Rifqi Wardana; Budyanra Budyanra
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 (290.55 KB) | DOI: 10.34123/semnasoffstat.v2021i1.856

Abstract

Final year students are required to compose a written work by applying the knowledge that has been obtained. The process of writing the final project requires guidance from a supervisor, but during a pandemic, learning activities are carried out online, including the guidance process, this becomes difficult for some students. The difficulty he faces is the lack of self-disclosure to the supervisor which, if the student's self-disclosure is low, it will hinder the preparation and guidance process. Zulkifli's research (2012) stated that 65 percent of the completion of the final project was hampered due to low self-disclosure, as well as STIS Polstat students who since the pandemic have also experienced online guidance. This study aims to provide an overview of the self-disclosure status and analyze the variables that affect the self-disclosure status of final year students of Polstat STIS Academic Year 2020/2021 by using binary logistic regression. The research data is primary data with a circular systematic sampling method. Based on the general description, it is known that final year students have low self-disclosure status as much as 22.88 percent and the rest have high status. From the logistic regression equation, it was found that the variables of student sex (OR = 2.35), self-esteem status (OR = 6.34), and personality type (OR = 2.62) with a significance level of five percent affected the self-disclosure status of final year students. Polstat STIS Academic Year 2020/2021.
Variabel-variabel yang Memengaruhi Total Factor Productivity Industri Pengolahan di Kawasan Barat Indonesia Tahun 2011-2019 Agustien Wahyuningsih; Budyanra Budyanra
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 (470.907 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1418

Abstract

The manufacturing sector is the first largest contributor to the Indonesian economy. However, the contribution of the manufacturing sector has always decreased from year to year. In fact, if a country wants to become a developed country, it is necessary to change the wrong economic structure related to the linkage of the secondary sector or sector industry. The industrial sector in Indonesia is dominated by provinces located in the Western Region of Indonesia (KBI). However, the productivity of the processing industry at KBI has always been below the Eastern Indonesia Region (KTI). The measure of productivity to describe all factors of production is the Total Factor Productivity (TFP). This study aims to calculate TFP, find out the general description of TFP, and analyze the factors that affect TFP in the processing industry at KBI. The calculation of TFP in the processing industry uses the Cobb-Douglas production function using a regression data panel with FGLS-SUR estimation. The results obtained from the provinces in KBI have TFP values ​​below the average. The analysis of variables that affect the processing of the TFP industry uses a regression data panel with the FGLS-SUR estimation model. It is found that wages and educated labor positively affect TFP and electricity use and exports negatively affect TFP.
Co-Authors Agustien Wahyuningsih Anggun Meilinda Alif Fatali Aprilia Lutviana Dewi Davin Giovanni Batara Francisco Nainggolan Fahrulraz M. Faruk Fitri Pratiwi Fransiska Sisilia Doven Hafidya Hansari Hendry Alfiansyah Muhammad Rifqi Wardana Nuzula Iftinanda Putri Revina Ayu Dya Sahara Sabilah Putri Shafiyah Asy Syahidah Yudi Dharma