For Muslims, prayer is worship that becomes a benchmark for charity, which means that the quality of a person’s charity is determined by his prayer and by reciting the Qur’an. An understanding of the importance and obligation of worship needs to be instilled in students. Apart from the obligatory prayers and reciting the Qur’an, which is usually done, the sunnah prayers (not mandatory but better if done) are not necessarily a worship routine. This study aims to reveal the effect of the intensity of reciting the Qur’an on students’ sunnah prayers. This study uses a simple linear regression supervised learning algorithm to see the impact of monthly Qur’an reading intervals on students’ monthly sunnah worship. Data were collected by surveying students. The analysis in this study uses the independent variable, namely the interval for reciting the Qur’an, and the dependent variable, namely the number of night (Tahajud) prayers and Dhuha prayers. The results and experiments of this research are divided into two models: the comparison of reciting the Qur’an to the night (Tahajud) prayers and the comparison of reciting the Qur’an to the Dhuha prayer. The resulting model has an accuracy of 90.32% for predictions of night (Tahajud) prayers and 85.73% for predictions of Dhuha prayers. The results of this study indicate that the higher the interval of reciting the Qur’an, the higher the sunnah worship carried out by students.

1.
A.
Hadziq
,
J. Pendidik. Agama Islam Al-Thariqah[J. Educ. Al-Thariqah Islamic Religion]
,
4
,
50
59
(
2019
).
2.
Hasbullah
,
Juhji
, and
A.
Maksum
,
J. Pendidik. Agama Islam Edureligia[J. Educ. Islamic Religion Edureligia].
3
,
17
24
(
2019
).
3.
A. R. Abdul
Aziz
,
A. A. H.
Shafie
,
Z.
Ali
, and
N. D. S.
Dzainal
,
Malaysian J. Soc. Sci. Humanit.
5
,
31
44
(
2020
).
4.
Afidatur
Ro’azah
,
Bab II Kaji. Pustaka 2.1[Chapter II Review. Literature 2.1].
12
,
6
25
(
2021
).
5.
S. K.
Qolbi
and
T.
Hamami
,
Edukatif J. Ilmu Pendidik[Educative J. Educator Science].
3
,
1120
1132
(
2021
).
6.
R. Q.
Ainie
,
Persepsi Commun. J.
3
,
1
11
(
2020
).
7.
F.
Ginting
,
E.
Buulolo
, and
E. R.
Siagian
,
KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer)[ National Conference. Technol. Inf. and Computers].
3
,
274
279
(
2019
).
8.
K.
Park
,
R.
Rothfeder
,
S.
Petheram
,
F.
Buaku
,
R.
Ewing
, and
W. H.
Greene
.
Washington D.C
:
Routletge
,
220
269
(
2020
).
9.
D.
Maulud
and
A. M.
Abdulazeez
,
J. Appl. Sci. Technol. Trends.
1
,
140
147
(
2020
).
10.
D. A.
Trianggana
,
J. Media Infotama [J. Media Infotama].
16
,
115
120
(
2020
).
11.
G. N.
Ayuni
and
D.
Fitrianah
,
J. Telematika [J. Telematics].
14
,
79
86
(
2019
).
13.
A. A.
Muhartini
,
O.
Sahroni
,
S. D.
Rahmawati
,
T.
Febrianti
, and
I.
Mahuda
,
J. Bayesian J. Ilm. Stat. dan Ekon.
1
,
17
23
(
2021
).
14.
S.
Rath
,
A.
Tripathy
, and
A. R.
Tripathy
,
Diabetes Metab. Syndr. Clin. Res. Rev.
14
,
1467
1474
(
2020
).
15.
T. E. E.
Tju
,
D. S.
Maylawati
,
G.
Munawar
, and
S.
Utomo
,
JISA (Journal Inform. dan Sains)
.
4
,
179
182
(
2021
).
16.
E.
Jumin
et al.,
Eng. Appl. Comput. Fluid Mech.
14
,
713
725
(
2020
).
17.
M. A.
Wiratama
and
W. M.
Pradnya
,
J. Nas. Pendidik. Tek. Inform. JANAPATI[J. Nas. Educ. Tech. Inform. JANAPATI].
11
,
1
12
(
2022
).
18.
P.
Chapman
et al., "
The CRISP-DM user guide
," in
4th CRISP-DM SIG Workshop in Brussels in March
,
1999
, vol.
1999
.
19.
B.
Bachmann
, “
CRISP-DM siap untuk Proyek Pembelajaran Mesin,” [CRISP-DM ready for Machine Learning Project] ICHI.PRO
,
2021
. https://ichi.pro/id/crisp-dm-siap-untuk-proyek-pembelajaran-mesin-46924957877610 (accessed Oct. 02, 2021).
20.
T. M. H.
Hope
,
London
:
Elsevier
,
67
81
(
2019
).
21.
S. I.
Bangdiwala
,
J. Inj. Contr. Saf. Promot.
25
,
113
115
(
2018
).
22.
Sugiyono
,
J. Chem. Inf. Model.
53
,
1689
1699
(
2012
).
23.
E.
Holst
and
P.
Thyregod
,
J. Stat. Comput. Simul.
63
,
321
347
(
1999
).
24.
T.
Chai
and
R. R.
Draxler
,
Geosci. Model Dev.
7
,
1247
1250
(
2014
).
This content is only available via PDF.
You do not currently have access to this content.