In e na ional Jou nal o Social Science and Human Resea ch
ISSN (p in ): 2644-0679, ISSN (online): 2644-0695
Volume 08 Issue 11 No embe 2025
DOI: 10.47191/ijssh / 8-i11-28, Impac ac o - 8.007
Page No: 8747-8758
IJSSHR, Volume 08 Issue 11 No embe 2025 www.ijssh .in Page 8747
Impac o Mac oeconomic Condi ions on he Sha e o Sha ia Bank
Financing in Indonesia in 2020 – 2022
Suma ni
Pascasa jana UIN Sai udin Zuh i Pu woke o
ABSTRACT: This s udy aims o de e mine he mac oeconomic impac such as in la ion, BI a e, exchange a e, and Money
Supply (JUB) on he sha e o inancing, namely p o i -sha ing in es men o Islamic banks in Indonesia which includes all Sha ia
Comme cial Banks (BUS) and Sha ia Business Uni s (UUS) in Indonesia. The analysis used is mul iple linea eg ession wi h he
O dina y Las Squa e (OLS) me hod o iden i y he impac o he independen a iable on he dependen a iable. Du ing he
mon hly pe iod 2020-2022, seconda y da a was collec ed om he Sha ia Banking S a is ics (SPS) o OJK, Cen al S a is ics
Agency (BPS), and Bank Indonesia (BI). Pa ial da a shows ha only he Money Supply (JUB) has an in luence on he sha e o
Islamic bank inancing in Indonesia, while h ee o he ac o s, such as in la ion, BI a e, and in e es a es, ha e no e ec .
Howe e , simul aneously, mac oeconomic condi ions ha e a signi ican impac o 27.4% on he sha e o Islamic bank inancing in
Indonesia.
KEYWORDS: In la ion, BI a e, exchange a e, money supply, Islamic Bank Financing.
I. INTRODUCTION
The epo on he de elopmen o Islamic inance in Indonesia eleased by he Financial Se ices Au ho i y (OJK) in
2022 s a ed ha he Global Economy g ew by 3.4% amid a sus ainable economic eco e y. Economic ac i i y began o g adually
imp o e a e p e iously being a ec ed by he pandemic. Howe e , he impac o global p oduc ion has no ully eco e ed,
pushing up an imbalance be ween supply and demand, hus d i ing in la ion. Global economic challenges in 2022 ha e been
exace ba ed by Russia's mili a y o ensi e in o Uk aine.
The global Islamic inance p o ile says ha global Islamic inancial asse s ha e eached US$ 3.96 illion in 2021. This
igu e inc eased om he p e ious yea , which was US$ 3.39 illion. This indica es ha he global Islamic inance indus y is
g owing well in he mids o economic g ow h. This g ow h is also suppo ed by he de elopmen o he Islamic inance indus y
in Indonesia.
The Sha ia economy in Indonesia began in 1992 which was ma ked by he es ablishmen o Bank Muamala . The
g ow h o inancial ins i u ions, especially Islamic comme cial banks in Indonesia, has inc eased signi ican ly in ecen decades.
Based on a epo by he Financial Se ices Au ho i y (OJK) in Sep embe 2023, he g ow h o Sha ia inancial asse s in
Decembe 2022 o Sha ia Comme cial Banks amoun ed o 531,860 illion, while asse g ow h in June 2023 inc eased by
543,072 illion. The g ow h o Sha ia Comme cial Bank (BUS) o ices in 2023 is 13 uni s, and 20 uni s o Sha ia Business Uni
(UUS) and Sha ia People's Financing Bank (BPRS) o ices a e 171 uni s.
Table 1. De elopmen o Islamic Finance in Indonesia in 2022
Sou ce: Indonesia's Sha ia Finance De elopmen Repo 2022
Impac o Mac oeconomic Condi ions on he Sha e o Sha ia Bank Financing in Indonesia in 2020 – 2022
IJSSHR, Volume 08 Issue 11 No embe 2025 www.ijssh .in Page 8748
The ise and all o inancing in Sha ia banks is in luenced by in e nal ac o s o igina ing om he bank i sel as well as
ex e nal ac o s o igina ing om mac oeconomic condi ions (Mum azah, 2016). The mac oeconomic ac o s in ques ion include
in la ion, in e es a es (BI a e), he upiah exchange a e agains he US dolla , he amoun o money in ci cula ion in he
communi y, and so on.
Acco ding o (Mum azah, 2016) High in la ion leads o a con inuous inc ease in he p ice o goods and se ices in
gene al (no jus one kind o goods and momen a y) (Iswa dono, hlm 214). The impac o in la ion on Islamic banks is he high
isk o de aul . This isk will inc ease he Non-Pe o ming Financing (NPF) o Islamic banking. I he inancing is based on
p o i sha ing, i he deb o su e s business losses, his loss is also bo ne by Islamic banks o isk sha ing. I he ype o inancing
is a sale and pu chase ag eemen , hen high in la ion can make sha ia inancing p oduc s in gene al ela i ely mo e expensi e
(Saekhu, 2015).
The second mac oeconomic ac o is in e es a es (BI Ra e). Acco ding o Ka im (2015: 59), The highe he in e es , he
less c edi amoun om con en ional banks o in es . In Sha ia Comme cial Banks, when he BI-Ra e is high, Sha ia Comme cial
Banks a e no allowed o inc ease he pe cen age o p o i sha ing in inancing, because i has been ag eed a he beginning o he
con ac . The ela ionship be ween BI- a e and mu abahah inancing ma gin was p esen ed by Vei zal dan Ri ai (2008) ha many
ac o s a ec in e es a es include ac o s ha a ec he ma k-up in mu abahah. This shows ha he BI- a e a ec s o is
conside ed in de e mining he mu abahah ma gin.
The hi d mac oeconomic ac o is he upiah (Rp) exchange a e agains he dolla ($). The decline in he upiah
exchange a e (dep ecia ion) and he inc ease in he upiah exchange a e (app ecia ion) a ec a coun y's expo s. When he
upiah exchange a e agains he dolla expe iences a o al dep ecia ion, a coun y's expo s will ise. Rising expo e s' ea nings
will boos he coun y's g oss domes ic income (Samuelson & No dhaus, 1997: 182). When expo e enues inc ease, expo e s y
o inance in banks, hus a ec ing he dis ibu ion o Islamic bank inancing (Lie & Malelak, 2015: 69).
The ou h mac oeconomic ac o is he de elopmen o he money supply (JUB) (Halim, 2013). The size o he JUB will
a ec he eal pu chasing powe o he communi y and also he a ailabili y o communi y needs (Se yawan & Ba a akusumah,
2005: 11). The amoun o money in ci cula ion in he hands o he communi y mus de elop easonably, in o de o ha e a posi i e
in luence on he economy. Howe e , i he JUB inc eases sha ply, i will igge in la ion and ha e a nega i e e ec on he
economy (Un o o, 2007).
The policy has been ca ied ou by Bank Indonesia in an e o o imp o e he quali y o bankno es in ci cula ion in
Indonesia by p in ing o upda ing new bankno e models. This policy can a ec he amoun o money in ci cula ion in he
communi y and can igge an inc ease in he in la ion a e and he upiah exchange a e will also dep ecia e. The ollowing is a
able o de elopmen s in In la ion, upiah exchange a e, money supply, BI Ra e and sha e o Islamic bank inancing in Indonesia
o e he las 3 yea s, namely he 2020-2022 pe iod.
Table 2. In la ion De elopmen s, Rupiah Exchange Ra e, Money Supply,
BI Ra e and Sha e o Sha ia Bank Financing in Indonesia in 2020-2022
Pe iod
In la ion
Rupiah
Exchange
Ra e
Money Supply
Bi Ra e
Sha e o Sha ia
Bank Financing
2020
1.68 %
14 165.68
6 905 939.30
3,75 %
39,03 %
2021
1.87 %
14 327.09
7 870 452.85
3,5 %
38,85 %
2022
5.51 %
14 340.67
8 528 022.00
5,5 %
38,72 %
Sou ce: 2023 da a p ocessed
F om able 2, i is explained ha in la ion, Rupiah Exchange Ra e, Amoun o Money Supply (JUB), he sha e o Islamic
Bank inancing in Indonesia luc ua ed om yea o yea . Fluc ua ions can be seen in e ms o in la ion, which is always
inc easing. The Rupiah Exchange Ra e and he Money Supply (JUB) always inc ease e e y yea . The BI Ra e dec eased in 2021
bu ose signi ican ly in 2022 by 5.5% and he Financing Sha e o Islamic Banks ac ually dec eased om yea o yea . The
inc ease in he JUB will lowe in e es a es. In e es a e cu s will inc ease in es men in he economy. This inc ease in
in es men will ha e an impac on he ope a ional ac i i ies o Islamic banks. (Koniah, 2023). Based on he backg ound
desc ip ion abo e, he esea che is in e es ed in examining he Impac o Mac oeconomic Condi ions on he Financing Sha e
o Sha ia Comme cial Banks in Indonesia.
a. Resea ch Objec i es
1. To ind ou and explain whe he he e is a signi ican in luence o he bi a e, in la ion, upiah exchange a e agains he
dolla , and he amoun o money in ci cula ion, on he sha e o Sha ia Bank inancing in Indonesia.
2. To ind ou and explain whe he he e is a join and signi ican in luence o he a iables o he bi a e, in la ion, upiah
exchange a e agains he dolla , and he amoun o money in ci cula ion on he sha e o Sha ia Bank inancing in Indonesia.
Impac o Mac oeconomic Condi ions on he Sha e o Sha ia Bank Financing in Indonesia in 2020 – 2022
IJSSHR, Volume 08 Issue 11 No embe 2025 www.ijssh .in Page 8749
b. Scope o Resea ch
The scope o his esea ch is Sha ia Banks egis e ed wi h Bank Indonesia in he OJK annual epo o 2020-2022.
c. Theo e ical Founda ions
1) Financing sha e
The weakness and s eng h o Islamic inancial ins i u ions is caused by mac oeconomic indica o s ha a ec he s abili y
o he inancial sys em (He ijan o, 2013: 148). Some o he ac o s ha a ec he demand and p o ision o inancing a e he le el
o bad loans, lack o capi al, communi y unds, upiah exchange a e, in la ion and in e es a es (He ijan o, 2013: 144). In
addi ion, inancing disbu semen mus be analyzed acco ding o he igh ac s and in o ma ion, in o de o minimize he banking
c isis ha begins wi h c edi disbu semen wi h excessi e isk (o e le e age) and economic shock (majo changes in he
mac oeconomy) (He ijan o, 2013: 158). Based on he explana ion abo e, mac oeconomic ac o s ha a ec Islamic banking
inancing in Indonesia a e in la ion, upiah exchange a e, in la ion a e and money supply. The size o he ma ke sha e will
change a any ime, his change can be caused by consume as es o he ans e o consume in e es om one p oduc o ano he
(syach uddin, 2017).
2) In la ion
In la ion is b ie ly de ined as a endency o inc ease he p ice o goods and se ices in gene al and con inuously (Suseno,
2009). The e a e h ee impo an hings ha mus be emphasized om he de ini ion o in la ion, namely:
a. The e is a endency o p ices o inc ease
b. The p ice inc ease con inues
c. The p ice le el in ques ion is he p ice le el in gene al, o no only on one commodi y.
In la ion is one o he p oblems in he economy ha is always aced by e e y coun y.
3) BI Ra e
Acco ding o Keynes, in e es is an in e e o he use o money. In e es is a ewa d o he owne o capi al, due o he
exis ence o capi al in o he s, whe e he owne o capi al loses he oppo uni y o use his capi al i he wishes. (Alma dan P iansa,
2009:273).
Islamic banks and con en ional banks compe e wi h each o he in e ms o und dis ibu ion and und collec ion.
Acco ding o Adiwa man (2010), s a es ha Islamic banks will ace ma ke isks including in e es a e isk and p o i sha ing isk
o o he Islamic banks ha a e compe i o s, in e es a e isk is a isk ha a ises as a esul o in e es a e luc ua ions, e en
hough Islamic banks do no se in e es a es, bo h in e ms o unding and inancing.
4) Rupiah exchange a e agains he US dolla
The in luence o exchange a es on mac oeconomic condi ions is ela ed o he p e ailing p ice le el and a ec s cus ome
beha io in sa ing and inancing eques s. Mankiw (2001: 125) s a ed ha i he eal exchange a e is high, goods om ab oad a e
ela i ely cheape and domes ic goods a e mo e expensi e and ice e sa. I he upiah exchange a e weakens agains he
cu ency o ano he coun y, hen he goods o se ices p oduced by ha coun y become mo e expensi e based on he cu ency o
ha o he coun y. As a esul , he demand o goods o se ices dec eases and subs i u ions can occu ha supp ess demand. As
demand dec eases, p oduce s will lowe supply and each a new equilib ium. Supply educ ions a e ca ied ou by educing
p oduc ion so ha he economy expe iences a slowdown. As a esul , he need o unds o wo king capi al and in es men has
dec eased, making i di icul o banks o dis ibu e inancing and ice e sa (Cahyono, 2009; 31-32).
5) Money Supply (JUB)
Money Supply (M2) is he o e all alue o money in he hands o he communi y. The amoun o money in ci cula ion in
a na ow sense (na ow money) is he amoun o money in ci cula ion consis ing o cu ency and demand money.
Dimana:
M1: he amoun o money in ci cula ion in a na ow sense
C : Cu ency
D : Bills o checks
Money supply in a b oad sense (M2) is plus ime deposi s.
In o ma ion:
M2: Money Supply in a b oad sense
TD: Time deposi s
M1=C + D
M2= M1 + TD
Impac o Mac oeconomic Condi ions on he Sha e o Sha ia Bank Financing in Indonesia in 2020 – 2022
IJSSHR, Volume 08 Issue 11 No embe 2025 www.ijssh .in Page 8750
Technically, wha is calcula ed as he amoun o money in ci cula ion is money ha is ac ually in he hands o he
communi y. Money in he hands o banks, as well as bankno es and me als owned by he go e nmen a e no coun ed as
money in ci cula ion (Toha i: 2010).
d. P e ious Resea ch
No
Name
Headings and a iables
Resul
1
Bin i Koniah, Dhiyah
Shabna ul Lisan, Fa iya ul
Mubawa oh, Agus Eko
Sujian o
(2023)
Penga uh Jumlah Uang Be eda
Te hadap P o i abili as Bank
Sya iah
Di Indonesia Tahun 2011-2021
Va iabel:
X : JUB
Y : ROA
Resul s o linea eg ession es
simply based on he alue o he
eg ession coe icien wi h a nega i e
alue, i can be in e p e ed ha
JUB (X) has a nega i e e ec on
ROA (Y).
(Koniah, 2023)
3
Yan i, Husnul Kho imah
(2022)
Penga uh In lasi e hadap
Pembiayaan Pe bankan Sya iah di
Indonesia Pe iode 2016-2020
Va iabel:
X : In lasi
Y : Kine ja Bank Sya iah
Hasil da i peneli ian ini shows ha
in la ion has an in luence
posi i e o nega i e o Financing o
Depoci Ra io (FDR) and Non-
Pe o ming Financing (NPF).
(Kho imah, 2022)
e. Hypo hesis
Based on he exis ing heo e ical ounda ion and heo e ical amewo k, he hypo hesis o his s udy is:
H0 : In la ion, BI Ra e, upiah exchange a e agains he dolla , and he amoun o money in ci cula ion do no ha e a
signi ican and simul aneous e ec on he sha e o Islamic Bank Financing in Indonesia.
H1 : In la ion, BI Ra e, upiah exchange a e agains he dolla , and he amoun o money in ci cula ion ha e a signi ican
and simul aneous e ec on he sha e o Islamic Bank Financing in Indonesia.
. F amewo k o Though
a. Types and App oaches o Resea ch
This esea ch is quan i a i e desc ip i e, namely explaining he ela ionship be ween a iables by analyzing nume ical
da a (numbe s) using s a is ical me hods h ough hypo hesis es ing. This esea ch is a case s udy s udy on Sha ia Banks in
2020-2022
b. Da a Collec ion Me hods
1) Da a Sou ce
The da a used in his s udy is seconda y ime se ies da a in he o m o quan i a i e da a o 2020-2022 ob ained om
Bank Indonesia's inancial s a emen s (www.bi.co.id), Financial Se ices Au ho i y (www.ojk.co.id), Cen al S a is ics Agency
(www.bps.co.id) economic indica o s published by he Cen al S a is ics Agency, Bulle ins, OJK Repo s o esea ch jou nals
and o he ela ed sou ces.
2) Popula ion and Sample
The popula ion in his s udy is s a is ical da a on Islamic banking inancing published by he Financial Se ices
Au ho i y (OJK) in i s mon hly epo . The s a is ical da a on Islamic banking inancing unds used in his s udy s a ed om
2020 o 2022.
JUB
In la ion
The Value o he
Rupiah Agains
he Dolla AS
BI Ra e
Financing Sha e
Bank Sya iah
Impac o Mac oeconomic Condi ions on he Sha e o Sha ia Bank Financing in Indonesia in 2020 – 2022
IJSSHR, Volume 08 Issue 11 No embe 2025 www.ijssh .in Page 8751
To al P o i -Sha ing Based Financing
To al Financing
The sample de e mina ion echnique in his s udy is pu posi e sampling. Whe e he sample aken uses all he exis ing
popula ion numbe s, namely 36 samples (da a) which is mon hly in la ion da a, Pembiayaan Pe bankan Sya iah, BI a e,
Rupiah Exchange Ra e agains he US Dolla , and Money Supply (M2) om 2020 o 2022.
3) Da a Collec ion Me hods
The da a collec ion echniques used in his s udy a e documen a ion me hods and li e a u e me hods in acco dance wi h
he heo ies abo e. The collec ion o da a ela ed o esea ch ma e s o a iables is based on s a is ical da a published in
gene al by he OJK and he Cen al S a is ics Agency, and has been p ocessed in such a way ha i can make i easie o
analyze.
c. Resea ch Va iables and De ini ion o Resea ch Va iables
1. Dependen Va iable
The inancing sha e e e ed o in his s udy is he p opo ion o p o i -sha ing in es men o Islamic banks. The
p opo ion o p o i -sha ing in es men is aken om OJK's annual epo da a . Acco ding o Hasan, he inancing sha e is a
compa ison be ween he amoun o inancing dis ibu ed by Islamic banks and he amoun o c edi dis ibu ed by na ional
banks in gene al (Hasan, 2010:57). Financing sha e da a is exp essed in pe cen ages aken om Sha ia Banking S a is ics. The
o mula used o ind he inancing sha e is as ollows (www.ojk.co.id):
In es men =
2. Independen Va iable
a) In la ion
In la ion is b ie ly de ined as a endency o inc ease he p ice o goods and se ices in gene al and con inuously
(Suseno, 2009). An indica o ha is o en used o measu e he in la ion a e is he Consume P ice Index (IHK). The in la ion
a iable in his s udy is calcula ed using he mon hly CPI. The in la ion da a used is he de elopmen o in la ion pe mon h
om 2020 o 2022.
The o mula used is as ollows:
In = (IHK n) – (IHK n-1) x 100%
(IHK n-1)
In o ma ion:
In : In la ion
IHK n : IHK he mon h in ques ion
IHK n-1 : IHK p e ious mon h
b) BI Ra e
BI Ra e is a policy in e es a e ha e lec s he mone a y policy s ance se by Bank Indonesia and announced o he public.
c) Rupiah Exchange Ra e agains Dolla
Exchange a e is a compa ison o he exchange a e o a coun y's cu ency wi h he cu ency o a o eign coun y o a
compa ison o exchange a es be ween coun ies. Meanwhile, he upiah exchange a e agains he US dolla is a compa ison
o he upiah exchange a e agains he US dolla .
d) Amoun o Money in Ci cula ion (JUB)
Money Supply (M2) is he o e all alue o money in he hands o he communi y. The amoun o money in ci cula ion in a
na ow sense (na ow money) is he amoun o money in ci cula ion consis ing o cu ency and demand money.
Ke e angan:
M1: The amoun o money in ci cula ion in a na ow sense
C : Cu ency
D : Bills o lading o checks
Money ci cula ion in a b oad sense (M2) is plus ime deposi s.
In o ma ion :
M2 : Money Supply in a b oad sense
M1=C + D
M2= M1 + TD
X 100%
100%
Impac o Mac oeconomic Condi ions on he Sha e o Sha ia Bank Financing in Indonesia in 2020 – 2022
IJSSHR, Volume 08 Issue 11 No embe 2025 www.ijssh .in Page 8752
TD : Time deposi s
d. Da a Analysis Techniques
1. Classical Assump ion Tes
Classic assump ion es ing includes he ollowing:
Classical Assump ion
Tes
Face
In o ma ion
Sou ce
No mali y Tes
Tes Ja que Be a
I he Ja que-Be a P obabili y
Value is g ea e han 0.05 hen
i indica es ha he da a is
no mally dis ibu ed.
A good eg ession model is
no mally dis ibu ed da a
Ghozali
(2006:147)
Uji Au oko elasi
Aji Telescope-
Wa son
A good eg ession model ha is
ee o au oco ela ion
Ghozali
(2006: 99)
Mul icollinea i y
Tes
Uji VIF
Ho: Tidak e jadi
mul ikolinea i as dalam model
H1: Te jadi mul ikolinea i as
dalam model
Model eg esi yang baik adalah
bebas mul ikolinea i as
Ghozali
(2006: 95)
Uji
He e oskedas isidas
Uji Whi e
Ho: idak e jadi
he e oskedas isi as
H1: e jadi he e oskedas isi as
Model eg esi yang baik adalah
bebas he e oskedas isi as
Ghozali
(2006:125)
2. Uji Kecocokan Model (Goodness O Fi )
a) Uji De e minasi (R2)
Ghozali (2006: 87) said ha he de e mina ion coe icien (R2) essen ially measu es how a he model is able o explain he
a ia ion o dependen a iables. The alue o he de e mina ion coe icien consis s o only ze o (0) and one (1).
b) Uji F
Ghozali (2006: 88) s a es ha he s a is ical es F basically shows whe he all independen o independen a iables included
in he model ha e a cohesi e in luence on he dependen o bound a iables.
c) Uji T
The -s a is ical es shows how a he in luence o each independen a iable indi idually in explaining he a ia ion o he
dependen a iable (Ghozali, 2006: 91).
d) Model eg esi
The da a analysis echnique used in his s udy is a es o mul iple linea eg ession equa ion models. Sys ema ically
eg ession equa ions can be made as ollows:
PBS = α0+ β1In + β2BI a e + β3Ku s + β4JUB + e
Whe e:
PBS : Sha ia Bank Financing
In : In la ion
You choose : Suku Bunga BI
Exchange Ra e : Rupiah o Dolla Exchange Ra e
JUB : Money Supply
β1, β2, β3, β4, : The eg ession coe icien o each independen a iable
α0 : Cons an
e : E o
Impac o Mac oeconomic Condi ions on he Sha e o Sha ia Bank Financing in Indonesia in 2020 – 2022
IJSSHR, Volume 08 Issue 11 No embe 2025 www.ijssh .in Page 8753
1. RESULTS AND DISCUSSION
1.1. Resea ch Resul s
a) No mali y Tes
The no mali y es aims o ind ou whe he each a iable is no mally dis ibu ed o no . One way o es he no mali y o
he da a is o look a he Ja que-Be a P obabili y alue. I he Ja que-Be a P obabili y Value is g ea e han 0.05, hen i
indica es ha he da a is no mally dis ibu ed and hus he eg ession model mee s he assump ion o no mali y. He e a e he
esul s o he no mali y es :
0
1
2
3
4
5
6
7
8
9
-100 -50 0 50 100 150
Se ies: Residuals
Sample 2020M01 2022M12
Obse a ions 36
Mean 1.89e-14
Median -5.288165
Maximum 151.4763
Minimum -113.1690
S d. De . 51.12187
Skewness 0.706548
Ku osis 4.197125
Ja que-Be a 5.144921
P obabili y 0.076347
Figu e 3.1.a: No mali y Tes Resul s
Sou ce: E iews12 Ou pu
Based on igu e 3.1.a, i is known ha he p obabili y alue o JB is 0.076347 > 0.05 which means ha he da a in his
s udy has a no mal dis ibu ed da a dis ibu ion, so ha his da a can be used in he s udy
b) Au oco ela ion Tes
The Au oco ela ion es aims o see i in a linea eg ession model he e is a co ela ion be ween he dis up i e e o in
pe iod and he dis up i e e o in he pe iod -1 (p e ious). One way ha can be used o de ec he p esence o absence o
au oco ela ion is wi h he se ial Co ela ion LM Tes . He e a e he esul s o he Au oco ela ion es :
Figu e 3.1.b
Au oco ela ion Tes Resul s
B eusch-God ey Se ial Co ela ion LM Tes :
F-s a is ic
3.593513
P ob. F(2,29)
0.0403
Obs*R-squa ed
7.149882
P ob. Chi-Squa e(2)
0.0280
Sumbe : Ou pu E iews12
Based on Figu e 3.1.a, i can be explained ha he p obabili y alue in Obs *R-squa ed is 0.0280 < 0.05, so i can be concluded
ha he e is a p oblem in se ial au oco ela ion. The e o e, a healing me hod is ca ied ou using he ans o ma ion o i s
di e ence da a
Gamba 3.1.b. Fi s Di e ence
Hasil Uji Au oko elasi se elah dilakukan ans o masi da a i s di e ence
B eusch-God ey Se ial Co ela ion LM Tes :
F-s a is ic
0.7520
14
P ob. F(2,28)
0.4807
Obs*R-squa ed
1.7841
97
P ob. Chi-Squa e(2)
0.4098
Sumbe : Ou pu E iews12
Based on igu e 3.1.b. Fi s Di e ence, a e he i s di e ence da a ans o ma ion is ca ied ou , he p obabili y alue o Obs*
R-squa ed has a alue o 0.4098 > 0.05, so i can be concluded ha he assump ion o he au oco ela ion es has been ul illed o
has passed he au oco ela ion es .
Impac o Mac oeconomic Condi ions on he Sha e o Sha ia Bank Financing in Indonesia in 2020 – 2022
IJSSHR, Volume 08 Issue 11 No embe 2025 www.ijssh .in Page 8754
c) Mul icollinea i y Tes
The mul icollinea i y es was pe o med o show whe he o no he e is a linea ela ionship be ween independen
a iables in he eg ession model. Tes ing o he p esence o absence o symp oms o mul icollinea i y can be done by de ec ing
he alue o Va iance In la ing Fac o (VIF). A VIF alue o less han 10 indica es ha mul icollinea i y does no occu . The
ollowing able shows he esul s o he mul icollinea i y es .
Tabel 3.1.c Uji Mul ikolinie i as
Va iance In la ion Fac o s
Da e: 10/16/23 Time: 01:56
Sample: 2020M01 2022M12
Included obse a ions: 36
Coe icien
Uncen e ed
Cen e ed
Va iable
Va iance
VIF
VIF
C
80182.19
978.2742
NA
X1
0.085377
91.81713
21.37143
X2
770.3428
87.72099
20.88595
X3
0.000358
929.8881
1.062254
X4
3.28E-10
210.4882
1.705441
Sumbe : Ou pu E iews12
Table 3.4 shows he esul s o he mul icollinea i y es as ollows:
1. a iable X1 (In la ion) has a Cen e ed VIF alue o 21.37143 > 10 (Symp oms o Mul icollinea i y occu )
2. Va iable X2 (BI Ra e) has a Cen e ed VIF alue o 20.88595 > 10 (Symp oms o Mul icollinea i y)
3. Va iable X3 (Rupiah Exchange Ra e) has a Cen e ed VIF alue o 1.062254 < 10 (Passed he Mul icollinea i y Tes )
4. Va iable X4 (JUB) has a Cen e ed VIF alue o 1.705441 < 10 (Passed he Mul icollinea i y Tes )
The esul s o his mul icollinea i y es show ha in he eg ession model used in his s udy he e is mul icollinea i y, in Va iable
X1 (In la ion) and Va iable X2 (BI Ra e) so ha he eg ession model mus be cu ed by ans o ming log da a.
Figu e 3.1.c. Log da a Mul icollinea i y Tes Resul s wi h LOG da a ans o ma ion
Sumbe : Ou pu E iews12
Based on Figu e 3.1.c. log da a, a e he log da a ans o ma ion is ca ied ou , he es esul s a e as ollows:
1. Va iable X1 (In la ion) has a Cen e ed VIF alue o 9.015219 < 10 (Passed he Mul icollinea i y es )
2. Va iable X2 (BI Ra e) has a Cen e ed VIF alue o 8.426360 < 10 (Passes Mul icollinea i y)
3. Va iable X3 (Rp Exchange Ra e) has a Cen e ed VIF alue o 1.062254 < 10 (Passes Mul icollinea i y)
4. Va iable X4 (JUB) has a Cen e ed VIF alue o 1.705441 < 10 (Passes Mul icollinea i y)
The esul s o he ou a iables show a numbe o less han 10, so i can be concluded ha he e is no mul icollinea i y p oblem in
his s udy.
Va iance In la ion Fac o s
Da e: 10/16/23 Time: 03:23
Sample: 2020M01 2022M12
Included obse a ions: 36
Coe icien
Uncen e ed
Cen e ed
Va iable
Va iance
VIF
VIF
C
114411.3
1383.926
NA
LOG(X1)
3172.518
1141.759
9.015219
LOG(X2)
2332.350
27.97259
8.426360
X3
0.000359
924.5723
1.056182
X4
2.99E-10
189.8837
1.538496
Impac o Mac oeconomic Condi ions on he Sha e o Sha ia Bank Financing in Indonesia in 2020 – 2022
IJSSHR, Volume 08 Issue 11 No embe 2025 www.ijssh .in Page 8755
d) H e eoskenas ici y Tes
The he e oscedas ici y es showed ha he a iable a ian s we e no he same o all obse a ions. The he e oscedas ici y
es aims o " es o a iance dispa i y om he esidual o one obse a ion o ano he . I he a ian om he esidual o one
obse a ion o ano he emains cons an , hen i is called homoscedas ici y. A good eg ession model is one ha is homogeneous
o he e oscedas ici y does no occu " (Ghozali, 2011:139). To de e mine whe he o no he e a e symp oms o he e oscedas ici y,
he Whi e Tes can be used in he E iews12 es as ollows
Gamba 3.1.d He e oskedas ici y Tes : Whi e
He e oskedas ici y Tes : Whi e
F-s a is ic
2.391652
P ob. F(14,21)
0.0345
Obs*R-squa ed
22.12415
P ob. Chi-Squa e(14)
0.0761
Scaled explained SS
26.22494
P ob. Chi-Squa e(14)
0.0242
Sumbe : Ou pu E iews12
The es esul s using he Whi e Tes show he P ob Value . Chi-Squa e is 0.0761 > 0.05 so ha his s udy is ee om
He e oscedas ici y.
Model Fi Tes (Goodness O Fi )
1. Uji De e minasi (R2)
The Coe icien o De e mina ion (R2) is used o measu e how a an independen a iable is able o explain he dependen
a iable. The alue o he coe icien o de e mina ion is be ween ze o and one. The esul s o he de e mina ion coe icien (R2)
in his s udy can be seen in he ollowing Table 3.1.1:
Dependen Va iable: Y
Me hod: Leas Squa es
Da e: 10/16/23 Time: 00:59
Sample: 2020M01 2022M12
Included obse a ions: 36
Va iable
Coe icien
S d. E o
-S a is ic
P ob.
C
3964.885
283.1646
14.00205
0.0000
X1
0.304019
0.292193
1.040473
0.3062
X2
-7.321637
27.75505
-0.263795
0.7937
X3
0.027758
0.018918
1.467241
0.1524
X4
-7.23E-05
1.81E-05
-3.989798
0.0004
R-squa ed
0.356647
Mean dependen a
3907.333
Adjus ed R-squa ed
0.273634
S.D. dependen a
63.73561
S.E. o eg ession
54.32002
Akaike in o c i e ion
10.95591
Sum squa ed esid
91470.59
Schwa z c i e ion
11.17584
Log likelihood
-192.2064
Hannan-Quinn c i e .
11.03267
F-s a is ic
4.296271
Du bin-Wa son s a
1.167585
P ob(F-s a is ic)
0.007010
Figu e 3.1.1. Mul iple Reg ession
Sumbe : Ou pu E iews12
Based on Figu e 3.1.1, i can be explained ha he alue o he de e mina ion coe icien (R-Squa ed) is 0.356647. So, i can be
concluded ha he in luence o in la ion, BI a e, upiah exchange a e and money supply on he sha e o Islamic bank inancing in
Indonesia is 35.66%, while 64.34% is in luenced by o he a iables ha a e no desc ibed in he model.
2. Tes F
The F es is pe o med o ind ou whe he all independen a iables oge he (simul aneously) ha e an e ec on he bound
a iable. In his s udy, he e a e wo hypo heses in he F es , namely
H0 : Simul aneously, in la ion, BI Ra e, Rupiah Exchange Ra e, and Money Supply (JUB) do no ha e a signi ican
in luence on he Financing Sha e o Sha ia Banks.
