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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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PENGUNAAN PENCITRAAN MULTISPEKTRAL PADA PANJANG GELOMBANG 520 NM DAN 800 NM UNTUK MENGEVALUASI TINGKAT KEMATANGAN TBS KELAPA SAWIT Sinta Afria Ningsih; Minarni Shiddiq; Dodi Sofyan Arief; Ikhsan Rahman Husein
Komunikasi Fisika Indonesia Vol 17, No 3 (2020)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.17.3.144-149

Abstract

Oil palm fresh fruit brunch (FFB) are the main source of crude palm oil (CPO). Sorting and grading FFB are important in order to obtain high quality CPO. Multispecral imaging has been purposed to be implemented in high speed sorting machines due to less wavelength bandwidths used hence less processing time. This study was aimed to evaluate the ripeness levels of oil palm FFB based on relative reflectance intensity and fruit firmness. Multispectral images were acquired using two bandpass filters mounted in a filter wheel with wavelengths of 520 nm and 800 nm respectively. The image acquisition and processing were controlled using python based program. The samples consisted of 30 oil palm FFBs of Tenera varieties with three ripeness levels as unripe, ripe, and overripe. The result showed that the relatif reflectance intensity at wavelength of 520 nm is inversely proportional to the maturity level, on the other hand,  relatif reflectance intensity at wavelength of 800 nm is directly proportional to the maturity level. The relation between the firmness and ripeness level are inversely proportional. Relative reflectance intensity of the multispectral images at the wavelength of 800 nm had a better correlation to the palm fruit firmness than the image at the wavelength of 520 nm with the correlation coefficient (r) of -0.0198 at 520 nm and -0.8594 at 800 nm. it can be shown that the multispectral imaging is potensial to be implemented for FFB ripeness evaluation.
HIDUNG ELEKTRONIK BERBASIS SENSOR GAS MOS UNTUK KARAKTERISASI KEMATANGAN BUAH KELAPA SAWIT Minarni Shiddiq; Lentina Br Sitohang; Ikhsan Rahman Husein; Sinta Afria Ningsih; Sri Hermonica; Annisa Fadillah
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 10, No 2 (2021): Juni
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v10i2.170-182

Abstract

The ripeness of oil palm fruits is one of the key factors for crude palm oil qualities. Recently, electronic nose systems have been developed intensively for fruit quality assessment which relates odors to ripeness levels. This study developed an electronic nose system to characterize the ripeness levels of oil palm fruits using output voltage of each sensor and fruit hardness. The system consisted of a sensor chamber and a sample chamber. The sensor chamber consisted of eight MOS gas sensor modules of MQ series. Samples were oil palm fruits taken from oil palm fresh fruit bunches (FFB) which were previously categorized traditionally into unripe, ripe, over ripe, peeled and put into the sample chamber. Some of the fruits were also used for hardness measurement. To quantify the output voltages for each sensor, integrated trapezoid areas were calculated and related to the fruit hardness values. The results showed a significant voltage difference of each sensor for the three ripeness levels. Only four out of eight sensors showed significantly higher voltages. Three sensors which can significantly differentiate the ripeness levels are MQ3, MQ5, and MQ135 which MQ135 is the best. This shows that the electronic nose is potential for oil palm fruits. Keywords: electronic nose, fruit hardness, MOS gas sensor, oil palm fruit, ripeness
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
Rancang Bangun Sistem Hidung Elektronik Berbasis Sensor Gas MQ untuk Mengevaluasi Kualitas Madu Minarni Shiddiq; Annisa Fadlillah; Sinta Afria Ningsih; Ikhsan Raahaman Husein
Jurnal Teori dan Aplikasi Fisika Vol 9, No 2 (2021): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v9i2.2722

Abstract

Honeys come in many varieties based on quality attributes and region origin. Electronic nose systems have been adopted and used to classify honey types based on physicochemical parameters. This study was aimed to build a low cost  electronic nose (e-nose) based on metal oxide semiconductor (MOS) gas sensors, and then used to evaluate the qualities of two types of honeys and one non honey based on sugar contents and pH values. Six gas sensors of MQ modules namely MQ2, MQ3, MQ4, MQ5, MQ6, MQ9, and an Arduino microcontroller were used in this system.  Software of Arduino IDE, PLX-DAQ, and Python were applied to record output voltages of each sensor, saved in Excel format, and to calculate trapezoid areas respectively. Honey samples were named as A, B, and C which were. a national brand honey, a local forest honey, and date syrup respectively. The results show higher output voltages for MQ 3, MQ 4, and MQ 6 sensors. The six sensors are able to differentiate between the two honey types and non honey. Sample A has the highest trapezoid area while sample C has the lowest area. This could be caused by higher pH value of sample C.
ANALISIS PENGARUH SUHU TERHADAP SENSITIVITAS SENSOR PADA HIDUNG ELEKTRONIK UNTUK KEMATANGAN BUAH KELAPA SAWIT Minarni Shiddiq; Dian Eka Rachmawati
Komunikasi Fisika Indonesia Vol 19, No 2 (2022)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.19.2.57-64

Abstract

Electronic noses have been developed for decades in many fields. Recently, electronic nose has been used in agriculture to detect the ripeness of fruits because fruits also produce volatile gas during ripening. Oil palm fresh fruit bunches (FFB) is the main source of crude palm oil, its quality depends on the ripeness levels of oil palm FFB. Therefore, electronic detections of oil palm FFB ripeness need to be developed. This study was aimed to investigate the effect of temperature variation on the sensitivity of gas sensors in an electronic nose designed for detecting the ripeness of oil palm FFB. The electronic nose used in this study consisted of 4 sensors which were TGS 2611, TGS 2620, TGS 813 and TGS 822. Samples were peeled fruitlets of ripe oil palm FFB which were heated to temperatures of 30°C, 45°C, and 60°C. Response of each sensor was represented as a trapezoid area of voltage versus time for convenience. The results showed that there was a significant difference in the output voltage of each sensor when the sample temperatures were varied. Fruitlets of oil palm FFB heated at 60°C resulted in higher trapezoid area which mean more volatile gas released.  Based on the resulted trapezoid area for each sensor. Sensors of TGS 2611 and TGS 822 are the most sensitive which have higher trapezoid area for the variation of the temperatures.
Produktivitas Kerja Ibu Rumah Tangga Pada Usaha Home Industri Keripik Bawang Intan Anjar Minarni; Aswandi Bahar; Daeng Ayub; Titi Maemunaty; Tri Handoko
Jurnal Kewarganegaraan Vol 6 No 1 (2022): 1 Januari - 30 Juni 2022 (In Press)
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.332 KB) | DOI: 10.31316/jk.v6i1.2817

Abstract

AbstrakHome Industri keripik bawang Intan di Desa Sidomulyo Kecamatan Lirik Kabupaten Indragiri hulu, Keripik Bawang Intan sudah didirikan pada tahun 1999 dengan hanya menjual satu produk yakni keripik bawang khas Kabupaten Indragiri Hulu. Tujuan penelitian ini adalah untuk mengetahui atau mendeskripsikan produktivitas kerja Ibu Rumah Tangga yang bekerja di home industri keripik bawang Intan di Desa Sidomulyo Kecamatan Lirik Kabupaten Indragiri Hulu. Jenis penelitian ini menggunakan pendekatan kualitatif, Penelitian deskriptif kualitatif ini bertujuan untuk menjelaskan dan menjawab secara lebih rinci permasalahan yang akan diteliti dengan mempelajari semaksimal mungkin seorang individu, suatu kelompok atau suatu kejadian tentang produktivitas kerja ibu rumah tangga pada usaha home industri keripik bawang. Teknik pengumpulan data dalam penelitian ini menggunakan pedoman observasi, wawancara, dan dokumentasi dengan tahapan reduksi data, penyajian data, veifikasi data dan triangulasi. Hasil penelitian tentang tentang Produktivitas Kerja Ibu Rumah Tangga Pada Usaha Home Industri Keripik Bawang Intan Di Desa Sidomulyo Kecamatan Lirik Kabupten Indragiri Hulu dapat ditemui bahwa ibu rumah tangga sudah bertanggung jawab dengan tugasnya, datang tepat waktu pada saat bekerja. Jadi dapat disimpulkan penelitian ini mendeskripsikan bahwa produktivitas kerja ibu rumah tangga pada usaha home industri keripik bawang intan dikategorikan sangat baik. Kata kunci: Produktivitas, Ibu Rumah Tangga, , Keripik Bawang. AbstractHome Intan Onion Chips Industry in Sidomulyo Village,Lirik District, Indragiri Hulu Regency, Onion Intan Chips was established in 1999 by selling only one product, namely onion chips typical of Indragiri Hulu Regency. The purpose of this study was to determine or describe the work productivity of housewives who work in the home industry of Intan onion chips in Sidomulyo Village,Lirik District, Indragiri Hulu Regency. This type of research uses a qualitative approach. This descriptive qualitative research aims to explain and answer in more detail the problems to be studied by studying as much as possible an individual, a group or an incident about the work productivity of housewives in the home business of the onion chip industry. The data collection technique in this study used guidelines for observation, interviews, and documentation with the stages of data reduction, data presentation, data verification and triangulation. The results of the research on the work productivity of housewives in the home business of the Onion Chips Industry in Sidomulyo Village, Lirik District, Indragiri Hulu Regency, it can be found that housewives are responsible for their duties, arrive on time when working. So it can be concluded that this study describes that the work productivity of housewives in the home business of the diamond onion chip industry is categorized as very goodKeywords: Productivity, Housewife, Onion Chips
ANOTASI CITRA BERBASIS PYTHON UNTUK RANCANG BANGUN PERANGKAT LUNAK DETEKSI OBJEK PADA TANDAN BUAH SEGAR KELAPA SAWIT CACAT Minarni Shiddiq; Muhammad Ikhsan Hamid; Vicky Vernando Dasta; Yohanes Dwi Saputra; Dewi Anjarwati Mahmudah; Dinda Kamia Evkha Putri; Annisya Madani; Ihsan Okta Harmailil
Indonesian Physics Communication Vol 20, No 2 (2023)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.20.2.135-140

Abstract

Object detection can determine the existence of an object, scope and image. Object detection begins with the introduction of an object. This method can be used to automate the process of sorting and grading oil palm fresh fruit bunches (FFB) at palm oil mills, which are still done manually. Image annotations are needed in building the software so that the software can identify object features in an image, especially imager in video frames. This study aims to annotate images of oil palm FFB into 2 categories, namely normal palm and abnormal palm. This category is the standard regulation of the Minister of Agriculture No. 14 of 2013. Image acquisition is carried out by varying the position of each oil palm FFB with the top and bottom position of the fruit which is then augmented 4 times which function to multiply the image data model to be annotated. Annotation is done using the python program application, namely Labelimg. The amount of image data that has been annotated is 200 images consisting of 100 normal palm images and 100 abnormal palm images.
Classification of maturity levels of oil palm fresh fruit bunches using LED-based multispectral imaging methods and principal component analysis Mohammad Fisal Rabin; Minarni Shiddiq; Rahmondia Nanda Setiadi; Ihsan Okta Harmailil; Ramdani Ramdani; Dedi Permana
Indonesian Physics Communication Vol 21, No 1 (2024)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.21.1.91-98

Abstract

Multispectral imaging (MSI) is one of the optical methods used for the classification of fruits and vegetables based on ripeness levels. MSI is simpler than hyperspectral imaging due to fewer wavelength bands used hence less processing time. In this study, MSI is used to classify the ripeness of oil palm fresh fruit bunch (FFB). The MSI system consists of three main components, namely a VIS-NIR camera, a camera lens, an LED array, and a current control unit. The use of the LED array as a light source in the MSI system aims to minimize the use of bandwidth filters. The LEDs used are arranged in a circular pattern with 8 wavelengths, namely 680, 700, 750, 780, 810, 850, 880, and 900 nm. FFB samples were recorded using the MSI system and then processed using Python language to obtain relative reflectance intensity values. The purposes of this research are to analyze the relationship between relative reflectance intensity and wavelength and to classify the ripeness level of oil palm FFB using principal component analysis (PCA). We used two categories of ripeness, unripe and ripe FFBs.The results of the PCA analysis showed that the classification carried out was able to group into two levels of ripenesses with a total variant percentage value for PC1 and PC2 of 90.95%.
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