The fermentation process of tempe takes a long time, which is about 24 to 48 hours. Several factors affect the success of this process. Among them are temperature and humidity. Tempe producers generally depend on the weather and do not control the temperature and humidity. Since the weather is often erratic, the ambient temperature and humidity of the process become undetermined. Another research found that the ambient temperature above the room temperature (28 C) will shorten the fermentation time by five hours. Another fact the author found is that tempe from the coastal area (hotter more humid) are tastier than the ones from a mountainous area. These two facts raise a question how if the tempe fermentation process takes place at the controlled chamber. This research proposes a tempe incubator controlled with a microcontroller to regulate the temperature and humidity of the incubator chamber. The first experimental result shows that the system will produce tempe for about 5 hours in the incubator chamber temperature of 41 C and 61% Relative Humidity.

1.
R.
Utami
,
C. H.
Wijaya
, and
H. N.
Lioe
, “
Taste of Water-Soluble Extracts Obtained from Over-Fermented Tempe
,”
Int. J. Food Prop.
, vol.
19
, no.
9
, pp.
2063
2073
,
2016
.
2.
R. S.
Putri
,
M. I.
Fanani
,
I. I.
Kurniawan
,
E. P. O.
Danawan
,
K. I. F.
Sugiarto
, and
Istiadi
, “
Penerapan Teknologi Pengendali Fermentasi Tempe Bagi Usaha Krudel Lariso Kelurahan Purwantoro Kota Malang
,”
Conf. Innov. Appl. Sci. Technol. (CIASTECH 2018)
, vol.
9
, no. September, pp.
353
361
,
2018
.
3.
M.
Muthmainna
,
S. M.
Sabang
, and
S.
Supriadi
, “
Pengaruh Waktu Fermentasi Terhadap Kadar Protein Dari Tempe Biji Buah Lamtoro Gung (Leucaena leucocephala
),”
J. Akad. Kim.
, vol.
5
, no.
1
, p.
50
,
2017
.
4.
W.
Zulaifa
, “
Meat Triangle Tempe ( M2T ) Sebagai Alternatif
,”
2015
.
5.
Atmiasri and Purbandini
, “
Implementasi Teknologi Mikrokontroler Arduino Leonardo Pada Mesin Pembuat Tempe
,”
Semin. Nas. Itenas
, pp.
C7
C10
,
2018
.
6.
Atmiasri and Widodo
, “
Mesin Tempe Menggunakan Teknologi Mikrokontroller Arduino Uno
,” no. November,
2016
.
7.
R. Putra
Yunas
and
A. Basrah
Pulungan
, “
Sistem Kendali Suhu dan Kelembaban pada Proses Fermentasi Tempe
,”
JTEV (Jurnal Tek. Elektro dan Vokasional)
, vol.
6
, no.
1
, pp.
103
113
,
2020
.
8.
R. S.
Sari
and
A.
Widiyanto
, “
Temperature and Humidity Control System for Tempe Gembus Fermentation Process Based on Internet of Things Sistem Kendali Suhu dan Kelembaban pada Proses Fermentasi Tempe Gembus Berbasis Internet of Things
,”
Urecol Journal. Part G Multidiscip. Res.
, vol.
1
, no.
1
, pp.
39
45
,
2021
.
9.
P.
Hajeb
and
S.
Jinap
, “
Umami Taste Components and Their Sources in Asian Foods
,”
Crit. Rev. Food Sci. Nutr.
, vol.
55
, no.
6
, pp.
778
791
,
2014
.
10.
N.
Thacker
and
a
Lacey
, “
Tutorial: The kalman filter
,”
Imaging Sci. Biomed.
…, pp.
133
140
,
1998
.
11.
V.
Firmansyah
, “
Aplikasi kalman filter pada pembacaan sensor suhu untuk pemantauan kondisi ruangan laboratorium vera firmansyah†
,”
J. Mater. dan Energi Indones.
, vol.
08
, no.
01
, pp.
1
7
,
2018
.
12.
R.
Rudiyanto
,
B. I.
Setiawan
, and
S. K.
Saptomo
, “
Algoritma Filter Kalman untuk Menghaluskan Data Pengukuran
,”
J. Keteknikan Pertan.
, vol.
20
, no.
3
, pp.
287
292
,
2006
.
13.
K.
Soal
,
Y.
Govers
,
J.
Bienert
, and
A.
Bekker
, “
System identification and tracking using a statistical model and a Kalman filter
,”
Mech. Syst. Signal Process.
, vol.
133
, p.
106127
,
2019
.
14.
A.
Odry
,
R.
Fullér
,
I. J.
Rudas
, and
P.
Odry
, “
Kalman filter for mobile-robot attitude estimation: Novel optimized and adaptive solutions
,”
Mech. Syst. Signal Process.
, vol.
110
, pp.
569
589
,
2018
.
15.
L. A.
Zadeh
, “
Fuzzy logic
,”
Comput. Complex. Theory, Tech. Appl.
, vol.
9781461418009
, pp.
1177
1200
,
2013
.
16.
M. F.
Rahmat
and
M. Md
Ghazaly
, “
Performance Comparison Between P.I.D and Fuzzy Logic Controller In Position Control System Of D.C. Servomotor
,”
J. Teknol.
, no. May 2017,
2012
.
17.
M.
Irfan
,
L. P.
Ayuningtias
, and
J.
Jumadi
, “
Analisa Perbandingan Logic Fuzzy Metode Tsukamoto, Sugeno, Dan Mamdani ( Studi Kasus : Prediksi Jumlah Pendaftar Mahasiswa Baru Fakultas Sains Dan Teknologi Uin Sunan Gunung Djati Bandung
),”
J. Tek. Inform.
, vol.
10
, no.
1
, pp.
9
16
,
2018
.
18.
F.
Wahab
,
A.
Sumardiono
,
A. R.
Al Tahtawi
, and
A. F. A.
Mulayari
, “
Desain dan Purwarupa Fuzzy Logic Control untuk Pengendalian Suhu Ruangan
,”
J. Teknol. Rekayasa
, vol.
2
, no.
1
, p.
1
,
2017
.
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