PENERAPAN MODEL REGRESI DATA PANEL PADA FAKTOR - FAKTOR YANG MEMPENGARUHI LAJ…
Laju Pertumbuhan Penduduk adalah ukuran yang menunjukkan perubahan jumlah populasi dalam suatu wilayah selama periode waktu tertentu. Laju pertumbuhan penduduk di Provinsi Sumatera Selatan sudah se…
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- xii, 115 hlm.; ilus.; tab.; 29 cm.
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- T1649872024
PEMODELAN PADA FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN DI PROVINSI…
Poverty is a condition that a person or group of people are unable to fulfill their basic needs. The poverty rate of South Sumatra Province in 2018 to 2023 is still above the national poverty rate.…
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- xv, 103 hlm.; ilus.; tab.; 29 cm.
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- T1650572024
FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP TINGKAT PENGANGGURAN TERBUKA DI SUMAT…
The Open Unemployment Rate is the percentage of the number of unemployed to the total workforce. The open unemployment rate in South Sumatra Province in 2019-2022 still tends to be high. The aim of…
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- xv, 77 hlm.; tab.; 29 cm.
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- T1429722024
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI JUMLAH KRIMINALITAS PENCURIAN DI PUL…
Theft cases are the highest number of crimes in Indonesia, especially on Sumatra island which is the island with the highest theft rate. This study aims to determine the factors that have a signifi…
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- xv, 61 hlm.; tab.; 29 cm.
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- T1401512024
MODEL REGRESI DATA PANEL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI KEMISKINAN DI P…
Poverty is the inability to meet minimum standards of basic needs. The Poverty Rate in South Sumatra Province in 2020 to 2022 is still above the national poverty percentage. The purpose of this stu…
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- xv, 89 hlm.; tab.; 29 cm.
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- T1401442024
MODEL REGRESI DATA PANEL ANGKA PARTISIPASI PENDIDIKAN TINGGI BERDASARKAN ANGK…
Higher education participation rate is an indicator used to measure the percentage of the population within a certain age group who are pursuing higher education during a specific period. The highe…
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- xvi, 74 hlm.; ilus.; tab.; 29 cm.
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- T1452362024
Pemilihan model terbaik regresi data panel komponen satu arah untuk menentuka…
Efek spesifikasi wilayah dan waktu dari data panel dapat menjelaskan perbedaan antar nilai Indeks Pembangunan Manusia (IPM) di setiap wilayah dan periode waktu. Tujuan dari penelitian ini adalah (1…
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- xv, 96 hlm. : ilus.
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