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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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STUDI KELAYAKAN PENGGUNAAN SEL SILIKON SEBAGAI PENGUBAH ENERGI MATAHARI MENJADI ENERGI LISTRIK Ginting, Maksi; Tambuhan, Walfred; -, Minarni; -, Purnama
Edu Research Vol. 1 No. 2 (2012): Jurnal Pendidikan
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.959 KB)

Abstract

Telah dilakukan penelitian tentang “Studi KelayakanPenggunaan Sel Silikon sebagai Pengubah Energi Matahari menjadi Energi Listrik” dengan metoda eksperimen. Eksperimen dilakukan dengan cara merangkai dioda silikon selinder ke rangkaian bentuk paralel dan bentuk rangkaian seri pada pelat rangkaian PCB, kemudian rangkaian ini dimasukkan ke dalam suatu kotak terbuat dari kayu yang diisolasi denganisolator kardus.
Membandingkan Kinerja Laser dan LED dalam Pencitraan Fluoresensi Buah Berondolan Kelapa Sawit Minarni Shiddiq; Ria Fitriani
Jurnal Penelitian Sains Vol 19, No 2 (2017)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.129 KB) | DOI: 10.56064/jps.v19i2.475

Abstract

Diode Lasers (LD) and light emitting diodes (LEDS) have been used for fluorescence imaging due to their low cost and wavelength varieties. The fluorescence Imaging has recently been developed as a nonde-structive method for fruit and vegetable quality assessments. This research was aimed to study the potential use of both light sources in fluorescence imaging techniques for grading palm oil fresh fruit bunches in attempt to develop a laser based grading system. The system consisted of a 650 nm LD and a 680 nm LED with the same 5 mW output power. and a monochrome CMOS camera with a camera lens, and a color filter. The filter used to obtain the fluorescene intensity was an orange filter. The samples were Tenera varieties of lonsum loosed palm oil fresh fruits with 4 ripeness categories determined by an experienced harvester. The categories were underripe (f0), ripe 1 (f1), ripe 2 (f2) and ripe 3(f3), each with 3 duplicates.The recorded images of the loosed fruits were analyzed using imageJ software, and further compared.The result showed that the highest fluorescence intensities represented by the gray values of the images were obtained from the underripe (f0) fruits, followed by the ripe 2 (f2), ripe 3(f3), and, ripe 1(f1) fruits, for both light sources.The intensity levels ob-tained using LD were higher by 75.32a.u for underripe (f0), 52.35 a.u for ripe 1(f1), 57.18a.u for ripe 2(f2), and 55.11 a.u for ripe 3(f3) than those resulted from LEDS by 24.57a.u for underripe(f0), 19.71 a.ufor ripe 1(f1), 22.91 a.ufor ripe 2(f2), 21.78 a.u.for ripe 3(f3). There are two reasons for higher results obtained user laser, due to their differencesin wavelength, and beam shape.
Analysis of Relation between Fluorescence Intensity and Ripeness Levels of Loosed Palm Oil Fruits Minarni Shiddiq; Reza Umami
Jurnal Penelitian Sains Vol 18, No 2 (2016)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (778.46 KB) | DOI: 10.56064/jps.v18i2.29

Abstract

Fluorescence imaging telah dikembangkan sebagai metode nondestruktif yang berpotensi untuk penilaian kualitas buah dan sayuran. Grading tandan buah segar (TBS) kelapa sawit sangat penting dilakukan untuk mendapatkan CPO yang berkualitas tinggi di perusahaan kelapa sawit. Fluoresensi imaging belum secara menyeluruh digunakan untuk mengeksplorasi grading kelapa sawit. Penelitian ini bertujuan untuk mempelajari intensitas fluoresensi pada buah kelapa sawit yang brondolan dan hubungannya terhadap tingkat kematangan buah menggunakan sistem pencitraan fluoresensi. Sistem terdiri dari laser dioda 650 nm, kamera monokrom CMOS dan filter warna. Filter yang digunakan adalah warna jingga karna dieksitasi oleh laser dioda merah. Sampel adalah buah segar kelapa sawit brondolan dari varietas Tanera bernama Marihat dan Topaz yang diambil pada bagian buah luar TBS kelapa sawit. Sampel memiliki tiga tingkat kematangan yaitu mentah, matang, lewat matang yang setiap tingkat nya terdiri dari 5 buah. Kategori kematangan ditentukan oleh pemanen yang berpengalaman. Buah yang disinari direkam oleh kamera dan menghasilkan intensitas gray menggunakan software imageJ yang dibandingkan pada tiga tingkat kematangan. Konsenstrasi antosianin pada lapisan mesocarp buah Marihat diukur sebagai perbandingan. Hasil penelitian menunjukkan bahwa intensitas fluoresensi tertinggi diperoleh pada buah lewat matang, diikuti oleh matang dan mentah. Intensitas gray pada buah Topaz lebih tinggi 5-11% untuk setiap tingkat kematangan. Hal ini dapat disebabkan konsentrasi antosianin jenis Topaz lebih tinggi dari Marihat. Hal ini memerlukan penelitian lebih lanjut.
Ripeness Level Classification of Oil Palm Fresh Fruit Bunch Using Laser Induced Fluorescence Imaging Hefniati Ishak; Minarni Shiddiq; Ramma Hayu Fitra; Nadia Zakyyah Yasmin
Journal of Aceh Physics Society Volume 8, Number 3, September 2019
Publisher : PSI-Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jacps.v8i3.14139

Abstract

Tingkat Kematangan Tandan Buah Segar (TBS) kelapa Sawit merupakan faktor penentu kualitas crude palm oil (CPO) yang dihasilkan pabrik kelapa sawit. Metode penyortiran TBS setelah panen atau sebelum memasuki proses perebusan pada umumnya dilakukan secara manual mengandalkan penglihatan dan pengalaman. Metode ini rentan kesalahan dan bersifat subyektif. Metode pencitraan berkembang sangat cepat karena kemajuan dalam bidang komputer dan teknik pengolahan citra, khususnya untuk sistem sortasi dan grading. Penelitian ini mengunakan metode pencitraan fluoresensi yang diinduksi laser untuk mengakses dan mengklasifikasi tingkat kematangan TBS kelapa sawit. Hubungan antara tingkat keabuan dan tingkat kekerasan buah TBS dianalisa. Sampel terdiri dari 27 TBS kelapa sawit varietas Tenera. Tingkat kematangan dikategorikan oleh pemanen berpengalaman menjadi mentah, matang, dan lewat matang. Tiga bagian TBS yaitu pangkal, tengah, dan ujung disinari laser dioda 640 nm mengenai 5 buah pada tiap bagian. Kemudian citra direkam mengunakan kamera CMOS monokrom. Selanjutnya 15 buah tersebut diuji tingkat kekerasan mengunakan penetrometer. Klasifikasi tingkat kematangan dilakukan mengunakan K-mean clustering. Hasil penelitian memperlihatkan bahwa metode pencitraan fluoresensi yang diinduksi laser potensial digunakan dalam mengklasifikasi tingkat kematangan TBS. Tingkat kekerasan buah berkorelasi positif terhadap tingkat keabuan citra TBS. K-mean clustering memperlihatkan tiga kelompok tingkat kematangan yang terdiri dari 0, 1 dan 2. Ripeness levels of oil palm fresh fruit bunches (FFB) are the main factor to determine the quality of crude palm oil (CPO) produced by Oil Palm Mill. Sorting oil palm FFB after harvest or before entering the boiling process is generally done manually which relies on human vision and experience. Imaging methods has developed vastly due to advances in computer and image processing techniques. This study used a laser-induced fluorescence imaging to access and classify the ripeness levels of oil palm FFB of Tenera variety. The relationship between gray value and the level of firmness of FFB fruit was analyzed. The samples consisted of 27 oil palm FFB categorized  by experienced harvester as unripe, ripe, and overripe. Laser light was shone on equatorial part of each FFB such that 5 fruitlets were covered by laser light, then the image of the front part was acquire using a monochrome CMOS camera. The step was repeated for basil and apical parts in sequent. All 15 fruitlets were testing for the firmness level using a penetrometer. Ripeness level classification was done using K-mean clustering. The results showed that the laser-induced fluorescence imaging method are potential to be used to determine the ripeness levels of FFB. The fruit firmness is positively correlated with the gray value of the image of FFB. K-mean clustering shows three ripeness centroid of 0, 1 and 2 . Keyword: Fluorecence Imaging, Oil Palm, Fresh Fruit Bunches, Firmness, Laser Induced Fluorecence
Ripeness Classification of Oil Palm Fresh Fruit Bunch Using an Optical Probe Nurmaya Sari; Minarni Shiddiq; Ramma Hayu Fitra; Nadia Zakyyah Yasmin
Journal of Aceh Physics Society Volume 8, Number 3, September 2019
Publisher : PSI-Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jacps.v8i3.14122

Abstract

Penggunaan spektroskopi fluoresensi yang nondestruktif bidang pertanian semakin intensif dilakukan khususnya untuk evaluasi produk pertanian. Sortasi dan grading Tandan Buah Segar (TBS) Kelapa Sawit sebelum memasuki proses produksi Crude Palm Oil sangat penting untuk memenuhi standar produksi dan ekspor. Sistem sortasi dan grading elektronik dibutuhkan untuk mengantikan metode sortasi manual mengandalkan penglihatan dan pengalaman. Pada penelitian ini probe optik yang terdiri dari laser dioda 640 nm dan dua fotodioda inframerah dalam konfigurasi triangulasi digunakan untuk mengevaluasi tingkat kematangan TBS kelapa sawit dan hubungannya dengan kekerasan buah dan tegangan fotodioda. Sampel terdiri dari 23 TBS Tenera. Buah kelapa sawit pada setiap TBS disinari laser pada tiga bagian yaitu pangkal, tengah dan ujung, setiap bagian terdiri dari tiga buah kelapa sawit. Tegangan keluaran dari kedua fotodioda dijumlahkan dan diperkuat oleh rangkaian multiboard komersial. Setelah tegangan diperoleh, ke-9 buah kelapa sawit dilepaskan dari TBS, tingkat kekerasan buah diukur mengunakan penetrometer. Hasil penelitian menunjukkan bahwa tingkat kematangan TBS mempunyai korelasi linier terhadap kekerasan buah dengan kekerasan yang tertinggi pada buah mentah sebesar 9,39 kg/cm2 dan terendah pada buah terlalu matang sebesar 5,64 kg/cm2. Nilai tegangan rata-rata terkecil pada buah mentah dan tertinggi pada buah matang kemudian turun pada buah lewat matang. Hasil K-means clustering menunjukkan pengelompokan 4 tingkat kematangan berdasarkan nilai kekerasan dan tegangan yaitu F0, F1, F2, dan F3. Applications of nondestructive fluorescence spectroscopy in agriculture have been intensively carried out especially to evaluate agriculture products. Sorting and grading oil palm fresh fruit bunches (FFB) before Crude Palm Oil milling processes are important tasks to meet the production and export standards. Electronic systems for sorting and grading of FFBs are needed to replace manual sorting method which depends on human vision and experience. In this study, an optical probe consisted of a 635 nm diode laser and two photodiodes was used to evaluate the ripeness level of oil palm FFB and its relation to both the fruitlet firmness and resulted photodiode voltages. Laser was directed to each of nine fruitlets of each FFB from three parts; basil, equatorial, and apical. Output voltages from each photodiode were summed and amplified by a commercially multi-board circuit. Then their firmness levels were obtained using a penetrometer. The results show that there is a linear correlation between the firmness levels and the FFB ripeness levels. The firmness values ranges from 9.39 kg/cm2 for unripe FFB and 5.64 kg/cm2 for overripe FFB. The highest voltage is obtained for ripe FFB and less for unripe and overripe FFB. K-means clustering results indicate that the overall ripeness levels are grouped into 4 levels of ripeness, namely F0, F1, F2 and F3 based on the values of hardness and the voltage of each sample.               Keywords: Fluorescence Spectroscopy, Oil Palm, Fresh Fruit Bunch, Firmness, Optical Probe
ANALISA SENSITIVITAS SENSOR TGS PADA HIDUNG ELEKTRONIK UNTUK IDENTIFIKASI GANODERMA DI BAGIAN AKAR KELAPA SAWIT Mhd Feri Desfri; Minarni Minarni; Dewi Laila Sari; Dewi Anjarwati Mahmudah; Ihsan Okta Harmailil; Irfan Cahyadi
Komunikasi Fisika Indonesia Vol 19, No 1 (2022)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.19.1.1-6

Abstract

Palm oil is one of the main commodities for Indonesia. It is important to identify the disease-causing the decline in productivity. Root rot disease that causes total damage to oil palm plants due to fungal infection G. boninense sp has volatile organic compounds that can be detected using an electronic nose. The electronic nose system is designed with 6 sensor arrays, namely TGS 2612, TGS 822, TGS 2611, TGS 2610, TGS 813, and TGS 2620 which are sensitive to certain VOC compounds. The sample used was infected and uninfected oil palm seedlings aged 4 months. The detection process is carried out on plant roots. Python program is used as a data acquisition system in voltage retrieval. The obtained voltage is processed and further analyzed using a trapezoidal area to determine the sensor response in the identification of Ganoderma. The results of processing using a trapezoidal plane show that TGS 2611 has a very good response. The TGS 2611 sensor has a higher trapezoidal area in identifying oil palm plants that are attacked by Ganoderma with 4 classifications, namely healthy, moderate, sick, and severe.
PEMBUATAN ALAT LABORATORIUM UNTUK PRAKTIKUM OPTIK GEOMETRI TINGKAT SMA BERBASIS LASER DIODA Alexander Nasution; Minarni Minarni; Rakhmawati Farma; Sinta Afria Ningsih
Komunikasi Fisika Indonesia Vol 18, No 2 (2021)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.18.2.137-145

Abstract

Peningkatan literasi sains siswa Indonesia membutuhkan metode pembelajaran yang standar, salah satunya mengunakan metode pembelajaran dengan alat demo atau alat laboratorium. Namun penyediaan alat tersebut oleh sekolah belum optimal karena pendanaan yang kurang. pelajaran Fisika tingkat SMA khususnya kelas X atau XI membahas tentang optik geometri. Kit alat optik geometri yang ekonomis diperlukan untuk menunjang hasil belajar siswa pada materi tesebut. Penelitian ini bertujuan untuk membuat kit optik geometri yang ekonomis dan sederhana berbasis laser untuk percobaan optik geometri. Kit tersebut yang terdiri dari laser dioda dengan panjang gelombang 650 nm dan daya 5 mW, tangki pembiasan akrilik, skala sudut berbentuk melingkar. Percobaan yang dilakukan adalah pengunaan Hukum Snelius pada medium udara-air, menentukan indek bias cairan, dan sudut kritis. Pada penelitian ini, modul percobaan digunakan pada siswa MAN 1 Padang Lawas, Kecamatan Barumun, Sumatera Utara. Beberapa uji yang dilakukan yaitu uji kelayakan alat, uji praktikalita kit optik geometri, dan uji efektifitas penggunaan Kit Terhadap Hasil Belajar Siswa Kelas X. Hasil rata-rata semua aspek uji kelayakan menghasilkan skor 96,25%. Hasil uji praktikalitas adalah 85,00 %. Untuk uji efektifitas penggunaan kit adanya perbedaan hasil pre-test dan post-test pada kelas eksperimen dan kelas kontrol dimana pada kelas eksperimen rata-rata nilai siswa dari 32,83 pada saat pre-test menjadi 73 setelah post-test, sementara hasil pre-test kelas kontrol dari rata-rata 31,83 menjadi 68 setelah dilakukan post-test
IMPLEMENTASI JARINGAN SYARAF TIRUAN (JST) DAN PENGOLAHAN CITRA UNTUK KlASIFIKASI KEMATANGAN TBS KELAPA SAWIT Minarni Minarni; Roni Salumbae; Zilhan Hasbi
Komunikasi Fisika Indonesia Vol 15, No 1 (2018)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (240.752 KB) | DOI: 10.31258/jkfi.15.1.36-45

Abstract

The clasification of ripeness stages of oil palm fresh fruit bunches (FFBs) can be done using color parameters. These parameters are often evaluated by human vision, whose degree of accuracy is subjective which can cause doubt in judgement. Automatic clasifications offreshfruit bunches (FFBs) based on color parameters can be done using computer vision. This method is known as a nondestructive, fast and cost effective method. In this research, a MATLAB computer program has been developed which consists of RGB and HSV GUI which is used to record, display, and process FFB image data. The backpropagation artificial neural network (ANN) program is also developed which is used to classify the oil palm fruit fresh bunches (FFBs). Samples are fresh fruit bunches (FFB) of oil palm varieties of Tenera which comprise of Topaz, Marihat, and Lonsum clones. Each clone composed of three levels of ripeness represented by five fractions. The measurements were started by capturing images of oil palm, extracting RGB and HSV values, calculating weight values from the image database to make anANN program, preparing grid programs for oil palm FFBs, and comparing grading levels of oil palm FFBs using program and by harvester. This program successfully classified oil palm (FFBs) into three categories of ripeness which are unripe (F0 and F1), ripe (F1 and F1) and over ripe (F4 and F5). The RGB and HSV programs successfully classified 79 out of 216 FFBs or 36.57% and 106 out of 216 TBS or 49.07%. Respectively the HSV program is better than RGB program because the representation of HSV color space are more understood by human perception hence can be used in calibration and color comparison.
ANALISA CITRA HIPERSPEKTRAL DAUN DARI TANAMAN KELAPA SAWIT YANG MENGALAMI KEKURANGAN AIR MENGGUNAKAN PROGRAM MATLAB JR Lessy Eka Putri; Minarni Minarni; Feri Candra; Herman Herman
Komunikasi Fisika Indonesia Vol 16, No 2 (2019)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (98.671 KB) | DOI: 10.31258/jkfi.16.2.143-148

Abstract

The hyperspectral imaging method has been widely and intensively used in agriculture to find out various problems that occur in plants. Image processing is very important step in an imaging method. This research aims to create Matlab based program to be used to analyze the leaf image of oil palm plants that has experienced water deficiency. Reflectance intensity values were extracted from the process. The hyperspectral imaging system consisted of a 650 nm diode laser, a spectrograph, monochrome CMOS camera, and Matlab image processing program. The samplesused were 8 month old Tenera variety of oil palm seedlings which were treated to simulate water deficiency in the form of variations in the volume of water, namely 0 mL (without watering), 1000 mL, 2000 mL, and 3000 mL (normal), 3 duplicates for each volume. The samples were given water volume of 1000 mL and 2000 mL for every 7 days in 21 days, while the sampleswith 3000 mL of water were watered every day. Image recording was done on the 21st day for detached leaves at the the bottom part.The results showed that the Matlab program was able to separate each row from 15 images, each of which had a pixel size of 1280 × 1024 and merge each of the same lines into 1024 images with a pixel size of 1280 × 15. The reflectance intensity values were then obtained. The results showed that higher levels of water deficiency in plants produce increasing reflectance intensity values.
APLIKASI PROGRAM MATLAB UNTUK ANALISA CITRA HYPERSPECTRAL PADA AKAR DARI TANAMAN KELAPA SAWIT YANG MENGALAMI KEKURANGAN AIR Mailestari Wina Yance; Minarni Minarni; Feri Candra; Herman Herman
Komunikasi Fisika Indonesia Vol 16, No 2 (2019)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (163.256 KB) | DOI: 10.31258/jkfi.16.2.149-154

Abstract

Hyperspectral images are three dimensional images which have two dimension spatial information and one  dimension spectral information. Hyperspectral image processing using Matlab program is preferable because it is more adaptive for many analysis purposes. This research was aimed  to construct Matlab to process and analyze the hyperspectral images of the roots of oil palm plants that have experienced water deficiency. The program was designed and constructed using a GUI . The use of a GUI aims to combine each pixel of the same line from each sample to produce a new image. The samples were roots  of oil palm plants that experienced simulated water deficiency by giving different water volumes of 0 mL, 1000 mL, 2000 mL and 3000 mL (normal). The optical method used in this study is a hyperspectral imaging method which has 650 nm diode laser  as the light source , spectrograph Specim Imspector V10 , and a  monochrome CMOS as a detector. Reflectance intensity versus wavelength  was extracted from each images and analyzed. The results showed that the Matlab GUI program that had been constructed was able to produce 1024 new images that had a pixel size of 15× 1280 from each sample. The results also show that the reflectance intensity values are higher at higher water deficiency of the oil palm roots.
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