Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Kebijakan Pembangunan Daerah (JKPD)
Muhammad Fajar
BPS Provinsi Banten
Humanities Decision Sciences, Operations Research & Management Education Mathematics Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
PENGUJIAN EKSISTENSI ENVIRONMENTAL KUZNETS CURVE DI INDONESIA Muhammad Fajar; Hariyanto
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 2 No. 1 (2021): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v2i1.56

Abstract

Tujuan studi adalah untuk menguji eksistensi fenomena environmental Kuznets Curve (EKC). Metode yang digunakan dalam  penelitian ini adalah metode regresi kuadratik yng diestimasi dengan ordinary least square dengan terlebih dahulu merekonstruksi varibel prediktor. Adapun data yang digunakan adalah emisi karbondioksida per kapita (metrik ton) bersumber dari World Bank Dataset, PDB (Produk Domestik Bruto) nominal (ribuan Rupiah) dan jumlah penduduk yang bersumber dari Badan Pusat Statistik. Hasil penelitian ini menyimpulkan bahwa fenomena EKC eksis terjadi di Indonesia yang diindikasikan dari koefisien komponen kuadrat pada model signifikan. Ini menyiratkan bahwa aktivitas ekonomi yang menggunakan bahan bakar fosil semakin meningkat penggunaannya. Namun, pertumbuhan ekonomi pada titik tertentu yang bermuara pada aktivistas produksi, membuat manusia sadar bahwa lingkungan dan alam harus dijaga dan berkesinambungan untuk kebutuhan ekonomi generasi mendatang.
PERAMALAN TINGKAT PENGHUNIAN KAMAR DENGAN MEMANFAATKAN DATA GOOGLE TRENDS DI PROVINSI BANTEN Muhammad Fajar; Teuku M. Madinah; Hendro Prayitno
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 2 No. 2 (2021): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v2i2.63

Abstract

The purpose of this paper is to forecast the room occupancy rate (ROR) of star hotels by utilizing Google Trends data, in addition to historical ROR data. The data used is the ROR (%) which comes from the Badan Pusat Statistik-Statistics Indonesia and the Google Trends query index using the search word "hotel". The method used is the ARIMAX model. The results of this study indicate that the ARIMAX model has excellent forecasting capabilities. This is shown by the MAPE value which reached 6.541%, which means the added value of the hotel sector in the first quarter of 2021 is not expected to increase significantly.
ESTIMASI MATRIKS TRANSAKSI ANTAR SEKTOR TAHUN 2020 DI PROVINSI BANTEN MUHAMMAD FAJAR
Jurnal Kebijakan Pembangunan Daerah Vol 5 No 2 (2021): Desember 2021
Publisher : Badan Perencanaan Pembangunan Daerah Provinsi Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56945/jkpd.v5i2.126

Abstract

Due to the need for up-to-date economic indicators and data, estimates need that reflect regional economic conditions during the COVID-19 pandemic. Therefore, the purpose of this paper is to produce an estimate of the inter-sectoral transaction matrix (as part of the input-output table). The data used in this study are input-output tables in 2016 and GRDP in 2020, source from the Statistics Agency of Banten Province. The method used for estimation is the matrix transformation technique. The results of this study that the matrix transformation technique (MTT) method is easy to apply with limited data. The inter-sector transaction matrix estimated by the MTT can absorb the latest information. Although, there is still old information about the structure contained therein. Based on the comparison between the 2020 inter-sectoral transaction matrix and the 2016 inter-sector transaction matrix. It shows that the impact of COVID-19 has reduced production performance in various sectors.
Co-Authors Hariyanto Hendro Prayitno Teuku M. Madinah