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Dilla Nurfadiah
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Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Immunology & microbiology Mathematics

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Analisis Pengaruh Indeks Pembangunan Manusia dan Pengangguran Terhadap Tingkat Kemiskinan di Sumatera Utara Menggunakan Metode Regresi Linear Berganda Indah Febriani Sagala; Achmad Fajri Romadhoni; Annisya Mardiana; Ayu Widyasari; Demak Rotua Simamora; Dilla Nurfadiah; Ega Ananda Br Sembiring; Irvina Abelia Harahap; M.E Ernawati Siregar; M.Fajar Alif; Nagita Adella; Reski Augustian S; Richard Fernando Sihotang
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3524

Abstract

Poverty is a serious problem in Indonesia, including in North Sumatra. Various factors include the human development index (HDI) and unemployment rate. This research aims to analyze the influence of the Human Development Index (HDI) and unemployment on the poverty rate in North Sumatra using the method multiple linear regression to analyze secondary data obtained from the Central Statistics Agency (BPS) of North Sumatra. The variables used in this research are the HDI and unemployment, while the dependent variable is the poverty level. The results of the research show that the HDI and the unemployment rate have a significant influence on the poverty level. These findings show that to reduce poverty in North Sumatra, efforts are needed to increase the HDI through improving the quality of education, health and living standards of the community by increasing the HDI which provides efforts to prevent poverty from occurring.
Pengaruh Suhu Terhadap Kadar Air pada Inti Sawit di Kernel Silo Pada Stasiun Kernel dengan Metode Rancangan Acak Kelompok Rifka Annaria Sibuea; Dilla Nurfadiah; M.E. Ernawati Siregar; Irvina Abelia Harahap; Sudianto Manullang; Putri Maulidina Fadilah
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 4 (2024): Desember : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i4.4390

Abstract

In the kernel processing process, it is important to understand the effect of temperature on the water content of the palm kernel in the kernel silo, especially at the kernel station. This study aims to analyze the effect of temperature on the water content of the palm kernel in the kernel silo at the kernel station. This study used the Randomized Block Design (RBD) method. Data were analyzed using linear regression and analysis of variance (ANOVA). By using the Randomized Block Design (RBD) method, the results of the treatment hypothesis were obtained that (285.241) > (2.44) which means that was rejected and could not be rejected, it can be concluded that the experiment of each temperature given had a significant effect on the resulting water content. In the results of the repetition hypothesis that (1.655) < (2.901) which means that could not be rejected and was rejected, it can be concluded that the experiment of each temperature given did not have a significant effect on the resulting water content.
Co-Authors Achmad Fajri Romadhoni Annisya Mardiana Ayu Widyasari Demak Rotua Simamora Ega Ananda Br Sembiring Indah Febriani Sagala Irvina Abelia Harahap M.E Ernawati Siregar M.E. Ernawati Siregar M.Fajar Alif Manullang, Sudianto Nagita Adella Putri Maulidina Fadilah Reski Augustian S Richard Fernando Sihotang Rifka Annaria Sibuea