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All Journal Komunikasi Fisika Indonesia Journal of Aceh Physics Society Jurnal Edu Research Jurnal Penelitian Sains JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teori dan Aplikasi Fisika Jurnal Kewarganegaraan
Minarni Minarni
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

 1 
Estimasi Volume Buah Kiwi Menggunakan Metode Pencitraan dan Aturan Simpson Tomy Suherly; Minarni Shiddiq
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2144

Abstract

Volume is one of important quantities that have been applied to fruit sorting based on size. Imaging method or computer vision is a simple non destructive method that has been proposed to measure fruits volume. This study was aimed to estimate the volumes of kiwi fruits using Computer Vision imaging method and compared to a water displacement method. The samples were 20 green kiwi fruits (Actinidia deliciosa). A smartphone camera was used to record the kiwifruit images and Python based program to drive the camera and process the images.  Images resulted in Computer Vision are two dimensions (2D) images. The 1/3 rd Simpson rule was employed to determine the volume of kiwi fruits based on the volume integration of a spinning object where surface image of kiwi was divided into 8 parts and then summed. The results show that the 2D imaging method assisted by the Simpson rule was successfully able to determine the kiwi fruit volumes with 4.57 % average difference percentage compared to the water displacement method. This was about 4.97 cm3 of average volume difference of 20 samples. The sample volumes measured using this method ranges from 82,48 cm3 - 126,85 cm3. These results will be one of steps toward the development of machine vision for fruit sorter based on volume
Pencitraan Hiperspekral untuk Membedakan Asal Tanah Tumbuh Dari Tandan Buah Segar Kelapa Sawit Dina Veranita; Minarni Shiddiq; Feri Candra; Saktioto Saktioto; Mohammad Fisal Rabin
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2219

Abstract

Hyperspectral imaging is a non destructive method that has been used to evaluate internal characteristics of fruits and vegetables. Plant genetics, soil characteristics, and plant management are some of key factors to define the quality of oil palm fresh fruit bunches (FFB) produced. This research was aimed to discriminate the Tenera oil palm FFBs produced by oil palm trees grown from mineral soil and peat soil using a hyperspectral imaging system which utilized a Specim V10 spektrograf. The discrimination was based on their ripeness level, mesocarp firmness, and classification using K-mean clustering. The samples consisted of 61 mineral soil FFBs and 60 peat soil FFBs with three ripeness levels as unripe, ripe, and overripe. Hyperspectral images were recorded and processed using Matlab programs. The spectral reflectance intensities showed the discrimination between both origin soils at wavelength ranges of 700 nm  900 nm. The results also showed higher reflectance intensities of peat soil FFBs than mineral soil FFBs. Correspondingly, Fruit firmness of peat soil FFBs are higher than mineral soil FFBs. Classification using K- mean clustering between reflectance intensities and fruit firmness showed significant clusters for three ripeness levels. These results will be useful for an oil palm FFB sorting machine based on spectral imaging method
Co-Authors Alexander Nasution Annisa Fadillah Annisa Fadlillah Annisya Madani Aswandi Bahar Daeng Ayub Dedi Permana Dewi Anjarwati Mahmudah Dewi Laila Sari Dian Eka Rachmawati Dina Veranita Dinda Kamia Evkha Putri Dodi Sofyan Arief, Dodi Sofyan Feri Candra Hefniati Ishak Herman Herman Ihsan Okta Harmailil Ihsan Okta Harmailil Ikhsan Raahaman Husein Ikhsan Rahman Husein Irfan Cahyadi JR Lessy Eka Putri Lentina Br Sitohang Mailestari Wina Yance Maksi Ginting Mhd Feri Desfri Mohammad Fisal Rabin Mohammad Fisal Rabin Muhammad Ikhsan Hamid Nadia Zakyyah Yasmin Nadia Zakyyah Yasmin Nurmaya Sari Purnama - Rahmondia Nanda Setiadi Rakhmawati Farma Ramdani Ramdani Ramma Hayu Fitra Ramma Hayu Fitra Reza Umami Ria Fitriani Roni Salumbae Saktioto Saktioto Sinta Afria Ningsih Sri Hermonica Titi Maemunaty Tomy Suherly Tri Handoko Vicky Vernando Dasta Walfred Tambuhan Yohanes Dwi Saputra Zilhan Hasbi