JOSR: Journal of Social Research
November 2022, 1 (12), 508-516
p-ISSN: 2827-9832 e-ISSN: xxxx-xxxx
Available online at http:// https://ijsr.internationaljournallabs.com/index.php/ijsr
http://ijsr.internationaljournallabs.com/index.php/ijsr
ANALYSIS OF FACTORS AFFECTING THE HUMAN
DEVELOPMENT INDEX IN INCREASING INDONESIAN
ECONOMIC GROWTH IN NORTH SUMATRA PROVINCE
Nur Abda Amalia
1
, Sari Wulandari
2
, Elyyza Cindi Mentari
3
, Indah Mutiara
Rizky
4
, Junita Wulandari Dalimunthe
5
-
abdaamaliadaulay1701@gmail.com
1
,sariwulandarie29@gmail.com
2
Abstrak (indonesia)
Received:26
Oktober
2022
Revised :30
Oktober
2022
Accepted:1
November
2022
Latar Belakang: perbaikan dapat diartikan sebagai
upaya atau prosedur yang dapat memicu perubahan.
Prosedur perbaikan ini meliputi segala aspek
kehidupan masyarakat, termasuk aspek keuangan,
politik, sosial dan budaya.
Tujuan: dengan tujuan untuk mencapai pertumbuhan
keuangan
Metode: metode yang bisa digunakan adalah Model
Pooled Least Square (Common Effect), Model
Pendekatan Efek Tetap (Fixed Effect) dan Model
Pendekatan Efek Acak (Random Effect).
Hasil: hasil pengolahan data menunjukkan t hitung
variabel tingkat kemiskinan adalah t hitung < t tabel.
Signifikan uji t memiliki signifikan sebesar 0,0021
dengan standar signifikan 0,05, Maka nilai signifikan
tingkat kemiskinan lebih kecil dari 0,05 maka Ho
ditolak dan Ha diterima.
Kesimpulan: Pada pertumbuhan ekonomi sangat
memiliki pengaruh yang positif kepada IPM di
prov.Simatera Utara,yang dapat di simpilkan bahwa
jika meningkatkan pertumbuhan ekonomi juga akan
meningkatkan Indeks pembagunan manusia di
Prov.sumatera utara di karenakan keduanya saling
berhubungan.
Kata kunci: Indeks Pembangunan Manusia;
Pertumbuhan Ekonomi; Kemiskinan; Belanja
Langsung per Kapita; Provinsi Sumatera Utara
Nur Abda Amalia
1
, Sari Wulandari
2
, Elyyza Cindi Mentari
3
, Indah Mutiara Rizky
4
, Junita
Wulandari Dalimunthe
5
/ JOSR: Journal of Social Research, 1(12), 508-516
509
Analysis Of Factors Affecting The Human Development Index In Increasing
Indonesian Economic Growth In North Sumatra Province 509
Abstract (English)
Background: Improvement can be interpreted as an
effort or procedure that can trigger change. This
repair procedure covers all aspects of people's lives,
including financial, political, social and cultural
aspects.
Objective: with the aim of achieving financial growth
Methods: The methods that can be used are the
Pooled Least Square Model (Common Effect), the
Fixed Effect Approach Model and the Random Effect
Approach Model.
Results: The results of data processing show that the t
count of the poverty level variable is t count < t table.
The significance of the t test is 0.0021 with a
significant standard of 0.05, so the significant value
of the poverty level is less than 0.05, so Ho is rejected
and Ha is accepted.
Conslusion: Economic growth has a very positive
influence on the HDI in North Sumatra Province,
which can be concluded that if increasing economic
growth will also increase the human development
index in North Sumatra Province because the two are
interconnected.
Keywords: Human Development Index; Economic
growth; Poverty; Direct Spending per Capita; North
Sumatra Province
*Correspondent Author : Nur Abda Amalia
Email : abdaamaliadaulay1701@gmail.com
BACKGROUND
In simple terms, improvement can be interpreted as an effort or procedure
that can trigger change. This repair procedure covers all aspects of people's lives,
including financial, political, social and cultural aspects (Sulaiman, 2021).
Economic improvement is the procedure of changing the situation for the better
for prosperity and improvement and prosperity for the better. In the discourse of
Nur Abda Amalia
1
, Sari Wulandari
2
, Elyyza Cindi Mentari
3
, Indah Mutiara Rizky
4
, Junita
Wulandari Dalimunthe
5
/ JOSR: Journal of Social Research, 1(12), 508-516
510
Analysis Of Factors Affecting The Human Development Index In Increasing
Indonesian Economic Growth In North Sumatra Province 510
economic improvement, financial improvement is similar to creating, maintaining
and growing state revenues in general. The financial boom is one indicator of
overall financial performance both at the national and regional (regional) levels.
According to Todaro (Yunitasari, 2007), the financial boom is a procedure in
which the level of the financial system will increase from time to time to obtain a
better level of income. Indonesia's financial boom fell with the help of using 3%
from 6% to 3% between 2010 and 2020 The economic boom is considered as one
of the maximum vital signs in conducting an overall performance assessment in
the monetary system, the main issue being to examine the effects of monetary
improvement efforts that have been carried out through the countryside or regions.
. If product production and supply will increase from the previous year to the
modern year, it continues to increase. The economic boom will show how
monetary entertainment will generate network profits in a positive period. An
economic system is considered to be experiencing a boom if all actual wages for
the use of manufactured goods in a given year are more than the previous year.
The indicator used to measure the monetary boom is the Gross Regional Domestic
Product (GDP) price boom which is based entirely on regular prices (Dewi &
Sutrisna, 2015).
Kuznets defines monetary increase as growing the long-term potential in
rural areas for various types of goods and offerings to the community (Yunitasari,
2007). According to Todaro (2003) the elements that can boost monetary increase
can be implemented in three fundamental components. First, capital accumulation,
including new types of investments that are invested in land, body gadgets and
human capital or human resources. Second, population growth will increase the
tempo of labor. Third, technological advances may be able to improve old-
fashioned approaches to dealing with work (Pambudi, 2013). The increase in rural
monetary over the long term can be supported by using growth in the physical
capital stock and more workers, but also to increase the first level of human
capital which has a strong influence on increasing first-level employment and
using more and more developing technological advances. Human development
can be done by using the improvement of various components that are important
for human lifestyles to develop human resources, especially lifestyle ranges,
training and also a respectable lifestyle. To publish it, BPS has established a
popular measure to measure the increase in useful human resources as mentioned
in the Human Development Index (HDI) or Human Development Index (HDI).
In carrying out a measurement, the human improvement index is a useful
measuring tool for determining financial improvement, measuring the extent to
which the community's high level of physical and spiritual satisfaction, especially
indicators of health, education and financial levels (Suliswanto, 2010). Therefore,
humans appear as real wealth and nation-building. The ever-evolving level of
Nur Abda Amalia
1
, Sari Wulandari
2
, Elyyza Cindi Mentari
3
, Indah Mutiara Rizky
4
, Junita
Wulandari Dalimunthe
5
/ JOSR: Journal of Social Research, 1(12), 508-516
511
Analysis Of Factors Affecting The Human Development Index In Increasing
Indonesian Economic Growth In North Sumatra Province 511
human progress largely determines society's ability to understand and process the
supply of financial growth, each related to the era and company with the aim of
achieving financial growth.
From the results of the 2020 Population Census, Indonesia's population in
September 2020 reached 270.2 million people. In 1961 Indonesia conducted its
first population census and the population continues to increase every year. From
the results of the 2020 Population Census, it is known that there may be a further
population of around 32.56 million, from these results also obtained within 10
years or an average of 3.26 million humans every year throughout the year. 2010
to 2020. The price of population growth in Indonesia for 10 years from 2010 to
2020 reached an average of 1.25% according to the year. This percentage
decreased compared to the increase in population prices in the previous 10 years
from 2000 to 2010 of 1.49% (Sugiyanto & Kurniawati, 2021).
An increase in the economy will increase the cost of delivering the desired
asset for human improvement. By growing assets with proper asset allocation and
a much wider distribution of opportunities, especially on activity opportunities, it
will inspire the increase of people to push up once again and better. On the other
hand, the increase in people leads to a multiplied increase in finances. The level of
excessive human improvement significantly determines the ability of society to
understand and manipulate financial enhancement assets, respectively in the era
and in the company as an important method for increasing financial improvement
(Lumbantoruan & Hidayat, 2015).
In achieving the Human Development Index in Indonesia, the best was
given to DKI Jakarta Province of 80.76, while the lowest growth was occupied by
the utilization of Papua Province's assistance of 60.84. Despite being miles but
below, the fulfillment of the Papua Province Human Development Index has
changed its reputation from low to light because of that last year (Calundu, 2018).
Human development in North Sumatra continues to increase every year, this
makes North Sumatra ranked twelfth with the Human Development Index
reaching 71.74. This figure is multiplied by 0.56% usage assistance or an increase
with 0.79% usage assistance compared to 2018.
The increase in humans in North Sumatra is excessive, compared to many
provinces in Indonesia. However, it is clear that each district/city in North
Sumatra has superior quality human resources. The complexity faced today is not
only the Human Development Index, but also disparities because the
Regency/City Human Development Index in North Sumatra is not light, some are
excessive, excessive and moderate. Why is human improvement in North Sumatra
Regency/City now no longer easy? and whether monetary growth, poverty and
direct expenditure in accordance with the capita affect the uneven human
development in each Regency/City Region. From this description, the author is
Nur Abda Amalia
1
, Sari Wulandari
2
, Elyyza Cindi Mentari
3
, Indah Mutiara Rizky
4
, Junita
Wulandari Dalimunthe
5
/ JOSR: Journal of Social Research, 1(12), 508-516
512
Analysis Of Factors Affecting The Human Development Index In Increasing
Indonesian Economic Growth In North Sumatra Province 512
involved and wants to see how much monetary growth, poverty and direct
spending per capita affect the human development index. Therefore, this study
takes the title "Analysis of Factors Affecting the Human Development Index in
Increasing Indonesia's Economic Growth in North Sumatra Province".
RESEARCH METHODS
With that, the researcher will analyze the factors that influence the human
development index in increasing Indonesia's economic growth in the province of
North Sumatra. This study uses secondary data with panel data analysis. There are
two advantages in using panel data (WITA, 2022): By combining time series and
cross section data in panel data, the number of observations becomes larger.
Reduce identification problems. Panel data is better at identifying and measuring
effects that simply cannot be addressed in time series data alone or in cross
sections. Panel data can control for individual heterogeneity.
The panel data used in this study is a combination of time series data from
2017-2020 and cross sections taken from 33 regencies/cities in North Sumatra
obtained from the Central Statistics Agency (BPS) of North Sumatra. The panel
data used in this study is a combination of time series data. from 2017-2020 and a
cross section taken from 33 regencies/cities in North Sumatra obtained from the
Central Statistics Agency (BPS) of North Sumatra (Kartikasari, 2020). Analysis
Method The analytical model used is a mixed analysis of panel data regression
analysis.
According to Agus Widarjono (2013)8, panel data is a combination of
cross section data and time series data. Regression with panel data is called panel
data regression model. From previous research, data analysis is limited to four
variables, namely the Human Development Index (IPM), Economic Growth (PE),
Poverty (Kms), and Education Sector Government Expenditures (PP). This study
was analyzed using the following equation: IPMit = o + 1 PEit + 2 Kmsit + 3 PPit
+ uit Where: HDI = human development index PE = economic growth (percent)
Kms = poverty rate (percent) PP = government spending on education o =
Intercept 1,α2,α3 = regression coefficient (independent variable) uit = error
component i = 1, 2, 3, ., 15 (cross-section data of Provinces in Indonesia) t = 1, 2,
3, 4 (data time-series, 2017-2020) In conducting panel data regression, first
determine the method to be used by comparing one method to another. There are
several methods that can be used, namely the Pooled Least Square Model
(Common Effect), the Fixed Effect Approach Model and the Random Effect
Approach Model.
RESULTS AND DISCUSSION
Nur Abda Amalia
1
, Sari Wulandari
2
, Elyyza Cindi Mentari
3
, Indah Mutiara Rizky
4
, Junita
Wulandari Dalimunthe
5
/ JOSR: Journal of Social Research, 1(12), 508-516
513
Analysis Of Factors Affecting The Human Development Index In Increasing
Indonesian Economic Growth In North Sumatra Province 513
GRDP is a measure of the success of the government in using existing
resources and can be used for planning and decision making. The higher the
regional GDP, the greater the potential source of income for the region. Based on
GRDP at a fixed price, Indonesia's GRDP fluctuated from 2010 to 2019, and in
2020, the COVID-19 pandemic drastically reduced Indonesia's GRDP to 2.07%.
Central Sulawesi and South Sulawesi made the largest contribution to Indonesia's
GRDP from 2016 to 2020. These states, together with Gorontalo, have made the
largest contribution to Indonesia's GRDP for four consecutive years.
Therefore, if we look at the GRDP of the Indonesian state as a whole at a
fixed price in 2000, it can be concluded that the GRDP can increase or the GRDP
of each state of Indonesia can decrease. GRDP (Gross Domestic Product) is
caused by several factors, including wealth in the form of economic resources
(natural wealth), population, population ability (HR) to use production technology
and process regional wealth. The tendency to disperse GRDP control and uneven
growth rates lead to uneven development between regions. In 2020, the GRDP of
Indonesia and several other states experienced a decline, but Central Sulawesi
showed positive results.
Regency City [Series 2010] GRDP at 2010 Constant Prices by
Regency/City (Billion Rupiah)
Kabupaten Kota
[Seri 2010] PDRB atas Dasar Harga Konstan
2010 Menurut Kabupaten/kota (Milyar
Rupiah)
2018
2019
Sumatera Utara
512 762,63
539 513,
85
Nias
2 440,16
2 563,03
Mandailing Natal
8 904,14
9 376,46
Tapanuli Selatan
9 201,96
9 683,66
Tapanuli Tengah
6 678,25
7 024,15
Tapanuli Utara
5 510,19
5 764,94
Toba Samosir
5 249,25
5 503,76
Labuhan Batu
22 112,34
23 232,7
1
Asahan
24 844,87
26 245,2
4
Simalungun
25 996,21
27 348,7
0
Dairi
6 267,82
6 569,81
Karo
13 744,17
14 376,2
Nur Abda Amalia
1
, Sari Wulandari
2
, Elyyza Cindi Mentari
3
, Indah Mutiara Rizky
4
, Junita
Wulandari Dalimunthe
5
/ JOSR: Journal of Social Research, 1(12), 508-516
514
Analysis Of Factors Affecting The Human Development Index In Increasing
Indonesian Economic Growth In North Sumatra Province 514
8
Deli Serdang
68 341,00
71 878,6
9
Langkat
28 170,08
29 597,7
7
Sumber : Data BPS
Sumatera
4 018,74
4 221,04
Humbang
Hasundutan
3 946,12
4 141,10
Pakpak Bharat
805,01
852,30
Samosir
2 931,70
3 098,74
Serdang Bedagai
18 421,38
19 393,3
9
Batu Bara
22 998,60
23 998,5
9
Padang Lawas Utara
7 791,05
8 228,45
Padang Lawas
7 534,30
7 959,31
Labuhanbatu
Selatan
17 797,95
18 750,1
6
Labuanbatu Utara
16 413,33
17 259,1
9
Nias Utara
2 228,75
2 332,44
Nias Barat
1 179,91
1 236,73
Sibolga
3 393,91
3 570,33
Tanjungbalai
5 473,63
5 790,37
Pematangsiantar
9 170,19
9 611,74
Tebing Tinggi
3 760,50
3 954,03
Medan
148 007,14
156 780,
58
Binjai
7 708,59
8 133,54
Padangsidimpuan
4 038,93
4 261,32
Gunungsitoli
3 232,97
3 428,45
Based on the table above, the results show that the economy in North
Sumatra in 2020 as measured by Gross Regional Domestic Product (GRDP) at
current prices reached IDR 811,282.84 billion and GRDP per capita reached IDR
55.18 million. The North Sumatran economy in 2020 experienced a contraction of
1.07 percent compared to the 2019 achievement of 5.22 percent. In terms of
Nur Abda Amalia
1
, Sari Wulandari
2
, Elyyza Cindi Mentari
3
, Indah Mutiara Rizky
4
, Junita
Wulandari Dalimunthe
5
/ JOSR: Journal of Social Research, 1(12), 508-516
515
Analysis Of Factors Affecting The Human Development Index In Increasing
Indonesian Economic Growth In North Sumatra Province 515
production, the highest contraction was experienced by the Transportation and
Warehousing Business Field of 12.77 percent. In terms of expenditure, the highest
contraction was experienced by the Export Component of Goods and Services at
10.36 percent. North Sumatra's economy in the fourth quarter of 2020 compared to
the fourth quarter of 2019 experienced a contraction of 2.94 percent (y-on-y). In
terms of production, the highest contraction was experienced by the Transportation
and Warehousing Business Field of 16.93 percent. In terms of expenditure, the
highest contraction was experienced by the Export Component of Goods and
Services at 15.12 percent.
The economy of North Sumatra in the fourth quarter of 2020 compared to
the third quarter of 2020 experienced a slowdown by 0.05 percent (q-to-q). In
terms of production, this was caused by a decline in the Agriculture, Forestry and
Fisheries Business Fields, which decreased by 2.10 percent. From the expenditure
side, it was caused by the Export Component of Goods and Services which
experienced a slowdown by 2.59 percent. The spatial structure of the economy on
Sumatra Island in 2020 is dominated by North Sumatra and Riau provinces. North
Sumatra Province gave the largest contribution to the Gross Domestic Product on
Sumatra Island, amounting to 24.06 percent, followed by Riau Province at 21.62
percent and South Sumatra Province at 13.60 percent.
In looking at a development development in a country there will be many
causes. One that can be used is the Human Development Index (IPM). Indonesia
itself uses this indicator to be used in evaluating the government's performance
and as a target for the next national development target. There are three aspects
that are components of the HDI, namely the age of the community, the length and
average of attending school and the aspect of per capita expenditure. If the three
aspects have increased, it can be said that progress has been made, and it must be
seen whether the targets have been met or not and how significant the progress has
been. When viewed from the three aspects that make up the index, the increase in
HDI in 2020 in Indonesia is caused by an increase in the UHH aspect and the
education aspect. The UHH of the Indonesian people this year has increased by
0.13 years to 71.47 years from the previous figure of 71.34 years. The trend in the
last ten years continues to increase. In 2010 Indonesia's UHH figure was below 70
years.
CONCLUSIONa
Economic growth has a very positive influence on the HDI in North
Sumatra province, which can be concluded that if increasing economic growth will
also increase the human development index in North Sumatra Province because
both are interconnected with economic growth, poverty and also government
spending. in the education sector will have a very positive effect on the human
development index in North Sumatra Province. From the tests carried out on direct
Nur Abda Amalia
1
, Sari Wulandari
2
, Elyyza Cindi Mentari
3
, Indah Mutiara Rizky
4
, Junita
Wulandari Dalimunthe
5
/ JOSR: Journal of Social Research, 1(12), 508-516
516
Analysis Of Factors Affecting The Human Development Index In Increasing
Indonesian Economic Growth In North Sumatra Province 516
per-capital expenditures, it has a fairly good effect on the human development
index in North Sumatra Province starting in 2015-2020 From the results We found
that poverty has a negative effect on the human development index in North
Sumatra Province.
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© 2021 by the authors. Submitted for possible open access publication under the
terms and conditions of the Creative Commons Attribution (CC BY SA)
license (https://creativecommons.org/licenses/by-sa/4.0/).