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Kurniawan Yuniarto
Department of Agricultural Engineering, UniversitasMataram, Mataram 83125, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences

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Mangosteen Flesh Condition Detector Based on Microwave Non-destructive Technique Using Spiral Resonator Sensor’s Cahyo Mustiko Okta Muvianto; Muhammad Afrizal G. Rasyda; Suthami Ariessaputra; Kurniawan Yuniarto; Sudi Mariyanto Al Sasongko; Budi Darmawan; Syafaruddin Ch
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.664 KB) | DOI: 10.17529/jre.v18i1.23761

Abstract

The mangosteen fruit has a characteristic thick skin, so it is difficult to know the condition of the flesh. Farmer can only know damage to the fruit flesh after the fruit skin had opened. Detection of the quality of the mangosteen flesh can be detected using a sensor capable of penetrating the thickness of the mangosteen rind. Flesh quality detection is carried out based on the S21 value (attenuation of mangosteen flesh value) using a portable device equipped with a sensor and capable of emitting microwaves. The S21 value of the fruit's flesh was measured using a spiral resonator that functioned as a sensor. The prototype device consists of an oscillator circuit, a power splitter, and a phase detector with 2507 MHz. Fruit flesh had divided into two conditions: damaged for fruit flesh with yellow sap or Translucent Flesh Disorder, and suitable condition for clean fruit flesh. The results showed that the fruit flesh had an average S21 value of 7.041 dB for damaged flesh and 6.007 dB for good flesh condition. The difference in the value of S21 had used as a reference for detecting the shape of the fruit flesh, with the detection threshold calculated by the Support Vector Machine, resulting in a threshold value of 6.712 dB.
Mangosteen Flesh Condition Detector Based on Microwave Non-destructive Technique Using Spiral Resonator Sensor’s Cahyo Mustiko Okta Muvianto; Muhammad Afrizal G. Rasyda; Suthami Ariessaputra; Kurniawan Yuniarto; Sudi Mariyanto Al Sasongko; Budi Darmawan; Syafaruddin Ch
Jurnal Rekayasa Elektrika Vol 18, No 1 (2022)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v18i1.23761

Abstract

The mangosteen fruit has a characteristic thick skin, so it is difficult to know the condition of the flesh. Farmer can only know damage to the fruit flesh after the fruit skin had opened. Detection of the quality of the mangosteen flesh can be detected using a sensor capable of penetrating the thickness of the mangosteen rind. Flesh quality detection is carried out based on the S21 value (attenuation of mangosteen flesh value) using a portable device equipped with a sensor and capable of emitting microwaves. The S21 value of the fruit's flesh was measured using a spiral resonator that functioned as a sensor. The prototype device consists of an oscillator circuit, a power splitter, and a phase detector with 2507 MHz. Fruit flesh had divided into two conditions: damaged for fruit flesh with yellow sap or Translucent Flesh Disorder, and suitable condition for clean fruit flesh. The results showed that the fruit flesh had an average S21 value of 7.041 dB for damaged flesh and 6.007 dB for good flesh condition. The difference in the value of S21 had used as a reference for detecting the shape of the fruit flesh, with the detection threshold calculated by the Support Vector Machine, resulting in a threshold value of 6.712 dB.
Co-Authors Ahmad Alamsyah Ahmada Mu’ammar Aksan Mujahalyt Anang Lastriyanto Ansar Ansar Ansar Ansar Ansar Ansar Aris Purwanto Bruce A. Welt, Bruce A. Budi Darmawan Dony Firmansyah Edwin Eka Hartono Fakhrul Irfan Khalil Hadi Karia Purwadaria, Hadi Karia Hary Kurniawan Hary Kurniawan Hary Kurniawan Husnan Hadi Joko Priyono Joko Sumarsono Joko Sumarsono Joko Sumarsono Kurniawan, Hary Lalu Arioki Setiadi M Junaidi M. Alfi Ashabana Miraj Fuadi Muhamad Ihsan Febriyanto Mbele Muhammad Afrizal G. Rasyda Murad, Murad Murad, Murad Muvianto, Cahyo Mustiko Okta Nurtiti Nurtiti Rahmat Sabani Rahmat Sabani Rahmat Sabani Selly Oktavianti Setyo Purwanto Sri Maryati Sudi Mariyanto Al Sasongko Sukmawaty Sukmawaty Sukmawaty Sukmawaty, Sukmawaty Suthami Ariessaputra Syafaruddin Ch Titi Candra Sunarti dan Michael (E-Jurnal Agro-Industri Indonesia) Welt, Bruce Ari