Design of Measurement of Water Content with Capacity Method to Determine Old Categories to Save Tapioca Flour

Authors

  • Syarifuddin Aprian Hidayatullah Department of Physics, University of Lampung, Bandar Lampung, Indonesia, 35141
  • Sri Wahyu Suciyati Department of Physics, University of Lampung, Bandar Lampung, Indonesia, 35141
  • Gurum Ahmad Pauzi Department of Physics, University of Lampung, Bandar Lampung, Indonesia, 35141
  • Arif Surtono Department of Physics, University of Lampung, Bandar Lampung, Indonesia, 35141

DOI:

https://doi.org/10.23960/jemit.v3i2.100

Keywords:

tapioca flour, thermogravimetry, capacitance, category of shelf life

Abstract

In this study, water content measurements were carried out using a physical method using a capacitive sensor. Measurement with these two methods aims to get the most efficient method for tapioca flour's water content value. The samples used were six samples of tapioca flour from the way good factory. Each sample was measured using a thermogravimetric method and a capacitive sensor measuring instrument three times per sample. The measurement results produce a polynomial graph with a coefficient of determination of 0.9702. The graph shows that the higher the water content, the higher the value detected by the capacitive sensor. The thermogravimetric method used as a reference takes 6 hours to get results, and the physical method takes less than one minute. To compare measurements, measurements were made using the thermogravimetric method to measure the percentage of water content in tapioca flour. This study indicates that the physical measurement method with a capacitive sensor instrument requires a shorter time than the thermogravimetric method. And the higher the water content, the shorter the storage time.

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References

AOAC. 1995. Official Methods of Analysis of Association of Official Analytical Chemist. AOAC International. Virginia USA.

Fuchs, A, Moser, M, dan Zangl, H. 2009. Using Capacitive Sensing to Determine The Moisture Content of Wood Pellets –Investigations And Application. International Jurnal on Smart Sensing and Intellgent System, Vol 2, No 2. Austria.

Daud, A, Suriyati, dan Nuzulyanti, 2019. Kajian Penerapan Faktor yang Mempengaruhi Akurasi Penentuan Kadar Air Metode Thermogravimetri. Jurnal Politeknik Negeri Pangkajene Kepulauan. Sulawesi Selatan.

Creative Commons. Arduino Nano 33 Ble Sense. https://cdn.sparkfun.com/. diakses pada tanggal 16 Desember 2021 Pukul 17:33.

Creative Commons. Documentation Arduino Nano. https://content.arduino.cc/assets/Pinout-NANO_latest, diakses pada tanggal 16 Desember 2021 Pukul 17:48.

Irfianti, A.D. dan Rosida. 2013. Sistem Pendukung Keputusan Pendugaan Umur Simpan dan Tanggal Kadaluarsa Produk Pangan dengan Metode Arhenius Berbasis Web. Jurnal Teknologi Pangan Vol. 1 No. 3. UPN Jawa Timur.

Suyanto. 2007. Artificial Intelligence. Informatika. Bandung.

Syahwil, M. 2013. Panduan Mudah Simulasi dan Praktek Mikrokontroller Arduino. Andi. Yogyakarta.

Sadewo, Angger D.B. 2017. Perancangan Pengendali Rumah Menggunakan Smartphone Android Dengan Konektivitas Bluetooth. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer. Vol. 1. No. 5. Hal. 415–425.

Suprapti, L. 2005. Tepung Tapioka Pembuatan dan Pemanfaatannya. Kanisius. Yogyakarta.

Direktorat Gizi, Departemen Kesehatan RI. 2011. Daftar Komposisi Bahan Makanan. Penebar Swadaya. Jakarta.

Winarno. 2004. Kimia Pangan dan Gizi. Gramedia Pustaka Utama. Jakarta.

Larry K. Baxter. 2000.Capacitive Sensors. IEEE Press. New Jersey.

Aqmar, MZ, Syarif, R, Sutriyono, A. 2018. Pendugaan Umur Simpan Tepung Terigu dalam Kemasan Valve Pack dengan Metode ASLT Model Arrhenius. IPB. Bogor.

Tarwiyah, K. 2001. Tapioka. Dewan ilmu Pengetahuan, Teknologi dan Industri. Sumatera Barat.

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Published

2022-05-31