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All Journal PROSIDING SEMINAR NASIONAL Jurnal Statistika Universitas Muhammadiyah Semarang
Devi Sumayya Sara
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Decision Sciences, Operations Research & Management Education

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EFFECT OF SPATIAL AUTOCORRELATION STRUCTURE OF EMPLOYMENT IN CENTRAL JAVA Devi Sumayya Sara; Abdul Karim
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Proceeding 3rd ISET 2017 | International Seminar on Educational Technology 3rd 2017
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (787.017 KB)

Abstract

Industry, agriculture and THR sectors are some of the leading sectors in Central Java . Central Java with thecapital city of Semarang City, is the third in Indonesia with the highest population in addition to West Java and East Java. Given the high population density and economic growth rate, it should also be followed by the sector's ability to absorb the available employment. Whereas in reality, the world of work or industry and professional associations often complain that the quality of staff (graduates) has not yet met the required skills demands (competencies). So the need for assessment of the absorption of employment from elementary school to upper for the planning of education system, so that education is more directed to education system oriented to the world of work appropriately and more efficiently with adequate amount and quality can absorbed. Data used in this research is observation data to Central Statistics Agency of Central Java and Ministry of Education and Culture of Central Java for the period of 2015. Observation unit in this research is cities in Central Java , the data used among others the amount of absorption Workforce in general with basic education background  toupper. In addition to employment data, data supporting factors such as workforce, industrial GDP value, agricultural GDP value, THR GDP value, and wage employment is also a research variable. The results of this study are the variables that significantly influence the model are the variables workforce, agricultural GDP value, THR GDP value, and wage employment. While significant variables have significant and significant influence in the spatial model are the variables workforce, industrial GDP value, agricultural GDP value, andTHR GDP value. Keywords: Employment, Spatial Autocorrelation
SEEMINGLY UNRELATED REGRESSION PADA INDEKS PEMBANGUNAN GENDER DI JAWA TENGAH Moh. Yamin Darsyah; Devi Sumayya Sara
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 4, No 2 (2016): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (200.358 KB) | DOI: 10.26714/jsunimus.4.2.2016.%p

Abstract

Penduduk Provinsi Jawa Tengah tercatat sebanyak 32,64 juta jiwa atau sekitar 13,54 persen dari jumlah penduduk di Indonesia dengan rasio jenis kelamin sebesar 99,42 persen. Kesenjangan antara perempuan dan laki-laki di Provinsi Jawa Tengah masih tinggi baik dalam bidang kesehatan, pendidikan, dan ketenagakerjaan. Semakin tumbuhnya perekonomian justru membuat kaum perempuan semakin terpinggirkan dan masuk semakin dalam pada kemiskinan. Oleh karena itu, perlu diteliti tentang evaluasi pembangunan gender di Jawa Tengah dilihat dari Pertumbuhan Ekonomi, Angka Harapan Hidup, Angka Melek Huruf, Rata-rata Lama Sekolah, dan Sumbangan Pendapatan dengan mempertimbangkan gender laki-laki maupun perempuan. Penelitianini menggunakan data observasi sekunder dengan unit observasi Kabupatendan Kota di Provinsi Jawa Tengah menggunakan pendekatan metode Seemingly Unrelated Regression (SUR). Hasil dari penelitian ini adalah variabel-variabel yang berpengaruh signifikan antara lain Angka Harapan Hidup, Angka Melek Huruf, dan Sumbangan Pendapatan untuk masing-masing gender laki-laki dan perempuan. Artinya, IndeksPembangunan Gender di Jawa Tengah dipengaruhi oleh Angka Harapan Hidup, Angka Melek Huruf, dan Sumbangan Pendapatan. Sehingga perlu adanya peningkatan pembangunan yang lebih responsif untuk menunjang beberapa program yang terkait dengan Angka Harapan Hidup, Angka Melek Huruf, dan Sumbangan Pendapatan di Provinsi Jawa Tengah.Kata Kunci : Indeks Pembangunan Gender, Seemingly Unrelated Regression
Co-Authors Karim, Abdul Moh. Yamin Darsyah