The large scale policy of health protocols by the Government of Indonesia has changed the worship habits of Church congregations from offline to online. However, problems arise when Church administrators have limited knowledge of how to use worship broadcast applications. This research describes the creation of a broadcasting control room server using a research and development framework through experimental methods. Smart Church Broadcasting algorithms are Capture, Encode, Go Live, and Decode. This study uses experimental results on a Church in the city of Purwokerto. The results of this study are a Church worship system utilizing internet technology with a limited budget for purchasing professional broadcasting equipment but being able to digitize analogue equipment owned by the Church. Furthermore, this research results in an evaluation of the performance evaluation of the implementation of the Fuzzy Tsukamoto based on the Smart Church Broadcasting (SCB) system through the determination of function and variables adopted from the Smart City concept. The results of this study can be used to support Church worship infrastructure during the Covid-19 pandemic.

1.
A.
Rizky Anugerah
,
P.
Suksessanno Muttaqin
, and
D. Adi
Purnama
, “
Effect of Large-Scale Social Restriction (PSBB) during COVID-19 on Outdoor Air Quality: Evidence from Five Cities in DKI Jakarta Province, Indonesia
,”
Environ. Res.
, vol.
197
, no.
November 2020
, p.
111164
, doi: . (
2021
)
2.
C.
Prempeh
,
“Religion and the state in an episodic moment of COVID-19 in Ghana
,”
Soc. Sci. Humanit. Open
, vol.
4
, no.
1
, p.
100141
, doi: . (
2021
)
3.
I.
Arts
,
A.
Fischer
, and
D.
Duckett
,
“Geoforum Information technology and the optimisation of experience – The role of mobile devices and social media in human-nature interactions
,” vol.
122
, pp.
55
62
, doi: . (
2021
)
4.
H.
Davies
,
“Religious Devices : A Survey of Technologies of Worship
.,”
Intersect. Media Archaeol.
, vol.
7
, no.
2
, (
2019
)
5.
D. Y.
Kristiyanto
,
B.
Suhartono
, and
A.
Wibowo
,
“Digital Forensic InnoDB Database Engine for Employee Performance Appraisal Application
,” doi: . (
2019
)
6.
S. A.
Zawawi
,
A. A.
Hamzah
,
B. Y.
Majlis
, and
F.
Mohd-Yasin
,
“A review of MEMS capacitive microphones
,”
Micromachines
, vol.
11
, no.
5, pp. 1–26
, doi: . (
2020
)
7.
D.
Moffat
and
M. B.
Sandler
, “
Approaches in Intelligent Music Production
,”
Arts
, vol.
8
, no.
4
, p.
125
, doi: . (
2019
)
8.
Y.
Cheng
,
C.
Fang
,
J.
Yuan
, and
L.
Zhu
,
“Design and application of a smart lighting system based on distributed wireless sensor networks
,”
Appl. Sci.
, vol.
10
, no.
23
, pp.
1
21
, doi: . (
2020
)
9.
G. E.
Sadhvi
and
P. N.
Tejus
,
“Automatic Detection of Stronger Wi-Fi Networks
,”
Int. Res. J. Eng. Technol.
, vol.
4
, no.
11
, pp.
1679
1681
, (
2017
)
10.
I.
Ranggadara
,
“Fuzzy Tsukamoto and ITIL for improvement strategy on incident ticket services
,”
Int. J. Innov. Technol. Explor. Eng.
, vol.
8
, no.
10
, pp.
897
903
, doi: . (
2019
)
11.
S.
Myeong
,
Y.
Jung
, and
E.
Lee
,
“A study on determinant factors in smart city development: An analytic hierarchy process analysis
,”
Sustain.
, vol.
10
, no.
8
, doi: . (
2018
)
12.
E.
Nugraha
,
A. P.
Wibawa
,
M. L.
Hakim
,
U.
Kholifah
,
R. H.
Dini
, and
M. R.
Irwanto
,
“Implementation of fuzzy tsukamoto method in decision support system of journal acceptance
,”
J. Phys. Conf. Ser.
, vol.
1280
, no.
2
, doi: . (
2019
)
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