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All Journal Jurnal Penelitian Saintek Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter Jurnal Teknologi Pertanian agriTECH Indonesian Journal of Chemistry SINTECH (Science and Information Technology) Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Serambi Engineering Agroteknika Agro Bali: Agricultural Journal Jurnal Kedokteran Hewan Jurnal Ilmiah Mahasiswa Pertanian Rona Teknik Pertanian
Agus Arip Munawar
Department Of Agricultural Engineering, Syiah Kuala University, Aceh
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering Environmental Science Immunology & microbiology Mechanical Engineering Medicine & Pharmacology Veterinary Other

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Journal : SINTECH (Science and Information Technology) Journal

 1 
PENERAPAN ALGORITMA DISKRIMINASI MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA) DAN Vis-SWNIR SPECTROSCOPY PADA BUAH CABAI RAWIT DOMBA BERBAGAI TINGKAT KEMATANGAN Ine Elisa Putri; Kusumiyati Kusumiyati; Agus Arip Munawar
SINTECH (Science and Information Technology) Journal Vol. 4 No. 1 (2021): SINTECH Journal Edition April 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v4i1.680

Abstract

Cayenne pepper fruit can be used for health because it is a source of antioxidants. Detection of quality fruit can use non-destructive methods as an alternative method. Visible short wavelength near infrared (Vis-SWNIR) spectroscopy is non-destructive measurement. This method can be used to discriminate fruit by using the principal component analysis (PCA). This research aimed to discriminate between Cayenne pepper with various maturity by using Vis-SWNIR spectroscopy with a wavelength of 300-1065 nm and principal component analysis (PCA). Cayenne pepper fruit was devided into three groups, namely green, orange and red. The spectrum used the absorbance spectrum data (original). The research was carried out from March to June 2020. The result showed that the use of Vis-SWNIR and PCA were able to discriminate various maturity of cayenne pepper with a 100% success rate.
Co-Authors . Ichwana Abuijal Muhammad Rifaldi Agussabti Agussabti Annisa Azzahra Aulia Ifnu Akbar Br Padang, Sheila Saharani Cut Dahlia Iskandar Darwin Darwin Desi Nanda Sari Devianti Devianti Devianti Devianti Devianti Devianti Devianti Devianti Dewi Sri Jayanti Dian Sri Bintang Hasiholan Manihuruk Diding Suhandy Diswandi Nurba, Diswandi Dwi Anindea Putri Endamin Endamin Fachruddin Fachruddin Fitria Nisak Fredinan Yulianda Giar Pramanda Putra Hairatun Hairatun Hayati Zahra Hesti Meilina Ichwana Ichwana Ichwana Ramli Ichwana Ramli Indera Sakti Nasution Ine Elisa Putri Ine Elisa Putri Intan Ratna Juwita Irfan Maibriadi Khairul Abdi Ruslana Khairul Abdi Ruslana Kiman Siregar Kusumiyati Masdar Masdar Mohd Nazar Isza Putra Muaida Alfia Mubarak Hulda Muhammad Ikhram Muhammad Ikhsan Sulaiman Muhammad Zikri Pratama Munanda Irawan Murtahar Murtahar Muslem Muslem Mustaqimah Mustaqimah Najla Mumtazmi Nasrul Arahman Nur Alfah Puji Meihani Qurratul Zulmi Raida Agustina Raida Agustina Ramayanty Bulan Ratna Ratna Ratna Ratna Ratna Ratna Ridwan Ridwan Rina Aulia Barus Riska Nurul Saputri Rita Khathir Rita Zahara Salman Rivaldi Solly Aryza Sri Aprilia Sri Purnama Sari Sufardi Sufardi Suswita Sari Syahrul Ramadhan Syaubari syaubari Teuku Hafidh Tyas Al Khalis Yesi Ardiani Yovita Amanda Yuda Hadiwijaya Yusmanizar Yusmanizar Yusril Agus Putra Yuswar Yunus Z Zainuddin Zikrul Khalid zulfahrizal zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulfahrizal Zulkifli Nasution