Tri Wahyuningsih
Fakultas Ekonomi Dan Bisnis Universitas Iqra Buru

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Pengaruh Investasi, Subsektor Perikanan dan Pertumbuhan Ekonomi Terhadap Kesempatan Kerja di Maluku Arsyad Matdoan; Tri Wahyuningsih; Abdul Aziz Laitupa
MediaTrend Vol 15, No 1 (2020): MARET
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v15i1.6638

Abstract

Provinsi Maluku memiliki Tingkat Kesempatan Kerja (TKK) terendah selama tahun 2014-2017 di Indonesia. Bahkan, TKK di Maluku mengalami penurunan dari 92,95 persen (2016) menjadi 90,71 persen (2017). Ini menunjukkan bahwa pasar tenaga kerja di Maluku belum mampu menyerap tenaga kerja yang ada. Berdasarkan hal tersebut, maka tujuan dari penelitian ini adalah untuk: (1) menganalisis pengaruh investasi pemerintah terhadap tingkat kesempatan kerja di Provinsi Maluku; (2) menganalisis pengaruh PDRB subsektor perikanan terhadap tingkat kesempatan kerja di Provinsi Maluku; (3) menganalisis pengaruh pertumbuhan ekonomi terhadap tingkat kesempatan kerja di Provinsi Maluku. Penelitian ini menghasilkan kesimpulan bahwa secara simultan investasi pemerintah, PDRB subsektor perikanan, dan pertumbuhan ekonomi berpengaruh tidak signifikan terhadap kesempatan kerja di Provinsi Maluku. Variabel yang dominan mempengaruhi kesempatan kerja di Provinsi Maluku adalah variabel investasi pemerintah karena variabel ini memiliki koefisien determinasi paling besar dari nilai kedua variabel lainnya, sedangkan variabel yang paling kecil pengaruhnya terhadap tingkat kesempatan kerja adalah PDRB subsektor perikanan.
SEKTOR PERTANIAN DAN PERANNYA DALAM PENYERAPAN TENAGA KERJA DI KABUPATEN BURU Tri Wahyuningsih
MediaTrend Vol 10, No 2 (2015): Oktober
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v10i2.944

Abstract

The aim of this study is the first, investigate and analyze how much employment in the agricultural sector in Buru; second, identify and analyze the level of labor productivity in the agricultural sector in Buru; Third, to know and analyze how much force multipliers agricultural sector in Buru; Fourth, make predictions employment in the agricultural sector from 2006 to 2020. The method used for analysis is the employment elasticity, labor productivity, employment multipliers, and pure forecasts. The results obtained are: First, the employment opportunities in the agricultural sector experienced in KabupatenBuru fluctuate every year, of which the highest employment have occurred in 2002 in the amount of 121.91 percent and the lowest employment occurred in 2010 amounted to -13, 41 percent, while in 2013 the agricultural sector employment reached 3.58 percent; Second, the level of labor productivity in the agricultural sector experienced the lowest Buru regency in 2012 amounted to 4.33 percent, whereas in 2013 the productivity of the agricultural sector by 3.87 percent; Third, another sector employment opportunities created by the agricultural sector in Buru is fluctuating. Increase employment opportunities in other sectors of the largest occurred in 2003 abaout5 people. While the lowest employment multiplier in the period 2001 to 2013 there were in 2012, namely 1 to 2; Fourth, using an assumption of employment elasticity of 3.58 and 17.56 for employment growth as experienced in 2013, the employment opportunities in the agricultural sector Buru expected to increase in 2016 to 2020.
Regional Typology Analysis and Potential Business Fields in Maluku Province Muhammad Bugis; Tri Wahyuningsih; Djamila Abbas
Jurnal Minds: Manajemen Ide dan Inspirasi Vol 9 No 1 (2022): June
Publisher : Management Department, Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/minds.v9i1.25969

Abstract

Decentralization necessitates the provincial government to maximize its potential to increase regional revenues. This study aims to categorize regencies and cities in a developing province, i.e., Maluku, based on economic growth and the Human Development Index (HDI) and thus identify potential and non-potential business fields. This study collected secondary data in economic growth data, Human Development Index (HDI), and Gross Regional Domestic Product (GRDP) From 2013 to 2017 and is analyzed by the Klassen Tipology method. The results show that Ambon City is classified as a developed region with potential business fields in Maluku Province, including agriculture, forestry and fishery, construction, and wholesale and retail trade. The results provide a detailed description of the potential development of the business sector and will serve as a guideline for stakeholders.