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All Journal Prosiding Seminar Nasional Official Statistics ELIGIBLE : Journal of Social Sciences
A'mal, Ikhlasul
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences Other

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Analisis Variabel Ketenagakerjaan Terhadap Produktivitas Pekerja Indonesia Tahun 2022 Widiyasari, Amalia Isti; A'mal, Ikhlasul; Putri Yunardi, Nabila Fatma; Kartiasih, Fitri
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.v2023i1.1855

Abstract

The lack of a workforce-to-employment-opportunity balance on the Indonesian labor market in 2022 is worrisome. In an effort to make the workforce more competitive, labor productivity indicators are available on the labor market itself. This study aims to analyze the level of labor productivity in Indonesia in terms of quality in the economic development pillars in achieving the eighth Sustainable Development Goals (SDGs). This study uses K-Means Clustering and multiple linear regression analysis. Based on the K-Means Clustering method, three provincial clusters were obtained with levels of labor productivity from lowest to highest. The results showed that the open unemployment rate and the percentage of the labor force with basic education significantly reduced labor productivity, while the wage rate significantly increased labor productivity. Improving the labor market by looking at labor productivity and the variables that influence it in Indonesia can be carried out in an efficient manner according to the areas that have been mapped by implementing employment innovations.
Analisis Peramalan Harga Saham Konstruksi terhadap Sentimen Sovereign Wealth Funds (SWF) Indonesia dengan Pendekatan Model ARCH/GARCH Parulian, Firman Emmanuel Declarantius; A'mal, Ikhlasul; Asrizal, Salma Nabila
Eligible : Journal of Social Sciences Vol. 3 No. 1 (2024): ELIGIBLE : Journal of Social Sciences
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah III DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53276/eligible.v3i1.124

Abstract

Tujuan penelitian ini adalah memodelkan, meramalkan, dan membandingkan volatilitas serta risiko dari empat perusahaan konstruksi. Peramalan menggunakan metode analisis deskriptif kuantitatif, yaitu analisis forecasting dengan pendekatan model ARCH/GARCH. Saham konstruksi yang dianalisis adalah harga saham harian dari empat perusahaan yaitu PT Adhi Karya (ADHI), PT Wijaya Karya (WIKA), PT Wijaya Karya Bangunan Gedung (WEGE), dan PT Total Bangun Persada (TOTL). Hasil pemodelan terbaik saham konstruksi akibat sentimen SWF Indonesia untuk harga saham PT Wijaya Karya (WIKA) adalah model ARIMA(2,1,1) ARCH(1), Harga saham PT Adhi Karya menggunakan model ARIMA(0,1,1) GARCH(2,1), PT Wijaya Karya Bangunan Gedung menggunakan model ARIMA(2,1,1) ARCH(1) dan PT Total Bangun Persada menggunakan model ARIMA (3,1,2). Analisis peramalan menunjukkan bahwa saham PT Total Bangun Persada menghasilkan peningkatan harga saham paling tinggi. Berdasarkan standar deviasi, saham PT Wijaya Karya menjadi saham yang memiliki risiko paling tinggi dibandingkan tiga saham lainnya sehingga cocok bagi investor risk taker. Sedangkan saham PT Total Bangun Persada memiliki risiko rendah sehingga sesuai bagi investor risk averse. Analisis RMSE, MAE, dan MAPE menunjukkan bahwa saham PT Wijaya Karya Bangunan Gedung merupakan saham yang paling stabil dalam pemodelan, tidak terlalu fluktuatif, dan cocok bagi investor dengan profil risiko konservatif.
Co-Authors Asrizal, Salma Nabila Fitri Kartiasih Parulian, Firman Emmanuel Declarantius Putri Yunardi, Nabila Fatma Widiyasari, Amalia Isti