scholarly journals Implementasi Metode Feature Extraction pada Klasifikasi Kualitas Daun Tembakau Madura

Rekayasa ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 71
Author(s):  
Kunto Aji Wibisono ◽  
Achmad Fiqhi Ibadillah
Keyword(s):  
Economic Value ◽  
Raw Material ◽  
Grading System ◽  
Leaf Quality ◽  
Tobacco Leaf ◽  
Quality Detection ◽  
Quality Classification ◽  
Accuracy Level

<p>Madura merupakan salah satu daerah penghasil tembakau di Indonseia. Tembakau Madura  merupakan jenis komoditi perkebunan yang memiliki nilai ekonomi tinggi. Sebagian besar tembakau madura diserap oleh pabrik rokok sebagai bahan baku utama rokok maupun sebagai racikan atau campuran kretek. Secara umum tembakau Madura sendiri dibagi menjadi tiga bagian: tembakau gunung, tembakau tegal, dan tembakau sawah. Jenis tembakau gunung adalah yang paling diburu oleh pabrik rokok, meski produktivitasnya terbilang sangat rendah dibanding tembakau sawah. Terdapat banyak jenis  varietas tembakau gunung yang ditanam petani di Madura, namun  yang memiliki karakteristik khas adalah tembaku Prancak – 95. Hal ini disebabkan  <a href="http://global-news.co.id/2016/04/tembakau-varietas-prancak-95-madura-diam-diam-dikembangkan-tiongkok/">Aroma tembakau Prancak-95 Madura tidak bisa ditiru oleh</a> jenis varietas tembaku lain di Indonesia. Hal lain yang membedakan yaitu terjadi karena kontur atau struktur tanah Madura yang memang khas, yang merupakan kelebihan dari tembakau Madura.Pada penelitian ini didesain sebuah sistem gradding untuk mendeteksi kualitas tembakau Prancak – 95 madura. Deteksi kualitas daun tembakau ini didasarkan pada dua ekstraksi fitur yaitu tekstur dan aromatik. Berdasarkan kedua fitur tersebut nantinya akan diklasifikasikan dengan menggunakan standard kualifikasi SNI. Sehingga  level akurasi deteksi kualitas daun tembakau Madura menjadi lebih optimal</p><p class="Normal1"><em>Kata Kunci: </em><em>Image extraction, Sensor Gas, Tembakau Madura</em><em>.</em></p><p class="Normal1" align="center">Implementation of Feature Image Extraction on Quality Classification of Maduraness Tobacco<strong></strong></p><p class="Normal1"><strong>ABSTRACT</strong></p><p><em>Madura is one of the tobacco producing areas in Indonesian. Madura tobacco is a type of plantation commodity that has high economic value. Most tobacco Madura is absorbed by cigarette manufacturers as the main raw material of cigarettes as well as as a concoction or clove mixture. In general Madura tobacco itself is divided into three parts: mountain tobacco, tobacco tegal, and tobacco sawah. Types of mountain tobacco are the most hunted by cigarette manufacturers, although the productivity is very low compared to tobacco. There are many types of varieties of mountain tobacco grown by farmers in Madura, but which has a distinctive characteristic is the Prancak-95 tobacco. This is because the Prancak-95 Madura tobacco aroma cannot be imitated by other types of copious varieties in Indonesia. Another thing that distinguishes that occurs due to the contour or structure of Madura land that is typical, which is the advantage of Madura tobacco. In this study designed a grading system to detect the quality of Prancak tobacco - 95 madura. The tobacco leaf quality detection is based on two feature extractions, namely texture and aromatics. Based on these two features will be classified using SNI qualification standards. So that the accuracy level of Madura tobacco leaf quality detection becomes more optimal</em><em></em></p><em>Keywords: Image extraction, Gas Sensor, Maduraness Tobacco </em>

scholarly journals MICROSCOPIC EXAMINATION OF WOOL FIBERS IN PRAMENKA FOR THE QUALITY CLASSIFICATION OF RAW WOOL

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Nadžida MLAĆO ◽  
Amela KATICA ◽  
Velija KATICA ◽  
Almira SOFTIĆ ◽  
Vedad ŠAKIĆ ◽  
...  
Keyword(s):  
Textile Industry ◽  
Organic Waste ◽  
Environmental Problem ◽  
The Body ◽  
Raw Material ◽  
Wool Fibers ◽  
Quality Classification ◽  
Selection Of

In Bosnia and Herzegovina, Montenegro, as well as in most Balkan countries, wool is a major environmental problem. After sheep shearing, farmers usually leave the wool at the shear sites, providing poorly degradable organic waste. The purchase price of such untreated wool is as low as its quality. By this research, we have tried to draw attention, from another aspect, to the quality of wool fibers of certain parts of the body, which is ultimately very important in the textile industry and in the selection of wool for further processing. The cuticle is made from cornfied cells, flakes, located on the surface of wool fibers. One of the significant roles of the cuticle is the protective. Namely, the cuticle protects the wool fibers from various external factors, whether mechanical or physic-chemical (such as ammonia evaporation in poorly maintained facilities, etc.), which can damage the fleece and thus make it less quality. We have found some differences in the flakes position and shape in the wool fibers we investigated, depending on part of the body from which they were sampled. However, by microscopic analyses of samples taken from the root of the tail, we have found that the flakes were much smaller and finer in structure than the arrangement and appearance of the cornified flakes from the rump. In this study, we have compared the appearance and arrangement of flakes of cuticle, which is very important in assessing the quality of wool and its further use as a raw material.

scholarly journals Cold stress in the harvest period: effects on tobacco leaf quality and curing characteristics

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Li ◽  
Ke Ren ◽  
Mengyang Hu ◽  
Xian He ◽  
Kaiyuan Gu ◽  
...  
Keyword(s):  
Cold Stress ◽  
High Altitude ◽  
Weather Forecast ◽  
Production Quality ◽  
Chemical Components ◽  
Leaf Quality ◽  
Tobacco Leaves ◽  
Tobacco Leaf ◽  
Antioxidant Enzyme System

Abstract Background Weather change in high-altitude areas subjects mature tobacco (Nicotiana tabacum L.) to cold stress, which damages tobacco leaf yield and quality. A brupt diurnal temperature differences (the daily temperature dropping more than 20 °C) along with rainfall in tobacco-growing areas at an altitude above 2450 m, caused cold stress to field-grown tobacco. Results After the flue-cured tobacco suffered cold stress in the field, the surface color of tobacco leaves changed and obvious large browning areas were appeared, and the curing availability was extremely poor. Further research found the quality of fresh tobacco leaves, the content of key chemical components, and the production quality were greatly reduced by cold stress. We hypothesize that cold stress in high altitude environments destroyed the antioxidant enzyme system of mature flue-cured tobacco. Therefore, the quality of fresh tobacco leaves, the content of key chemical components, and the production quality were greatly reduced by cold stress. Conclusion This study confirmed that cold stress in high-altitude tobacco areas was the main reason for the browning of tobacco leaves during the tobacco curing process. This adverse environment seriously damaged the quality of tobacco leaves, but can be mitigated by pay attention to the weather forecast and pick tobacco leaves in advance.

scholarly journals Reforestation of ‘Village Forest’ to Improve Sustaiability Creative Industries in Desa Siponjot

2021 ◽  
Vol 5 (2) ◽  
pp. 714-722
Author(s):  
Noverita Sprinse Vinolina ◽  
Antonio Marro Sipayung ◽  
Dardanila ◽  
Sondang Pintauli
Keyword(s):  
Forest Restoration ◽  
Raw Materials ◽  
Economic Value ◽  
Economic Benefits ◽  
Musical Instruments ◽  
Creative Industries ◽  
Raw Material ◽  
High Quality ◽  
The Village

This program is conducted to assist Siponjot Village while empowering the people of Siponjot Village to be able to utilize and maximize the benefit of the village forest. Village forest might support the availability of raw materials required for making musical instruments, such as high quality of wood, including how to process wood waste from making musical instruments to be used as creative souvenirs and improve the economic value. The raw material for production determined its results of the production of wood-based musical instruments. Thus, in order to produce a high quality tanginang, hasapi, and gondang, which previously began to be produced by arts crafts in the Sitangkubang area of ​​Siponjot Village, a high quality of raw materials is needed. The community service team surveyed the location of planting seeds for village forest restoration, provided socialization related to the importance of village forest cultivation and the suitability of the Siponjot Village area for the cultivation of these plants. Village forest restoration aims to maintain the beauty and beauty of the village. Implementation of village reforestation activities starting from socializing forest tourism and the strength of village forests to the community, followed by a discussion about village forest management and its economic benefits. Handover of a thousand units of forest plant seedlings given to the villagers of Siponjot as part of the forest restoration program in the area.

scholarly journals Electronic nose sensor development using ANN backpropagation for Lombok Agarwood classification

2020 ◽  
Vol 66 (No. 3) ◽  
pp. 97-103
Author(s):  
Farel Ahadyatulakbar Aditama ◽  
Lalu Zulfikri ◽  
Laili Mardiana ◽  
Tri Mulyaningsih ◽  
Nurul Qomariyah ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Gas Sensors ◽  
Poor Quality ◽  
Backpropagation Algorithm ◽  
The Poor ◽  
Quality Classification ◽  
Electronic Nose System ◽  
System Prototype

The aim of the present study is the development of an electronic nose system prototype for the classification of Gyrinops versteegii agarwood. The prototype consists of three gas sensors, i.e., TGS822, TGS2620, and TGS2610. The data acquisition and quality classification of the nose system are controlled by the Artificial Neural Network backpropagation algorithm in the Arduino Mega2650 microcontroller module. The testing result shows that an electronic nose can distinguish the quality of Gyrinops versteegii agarwood. The good-quality agarwood has an output of [1 –1], while the poor-quality agarwood has an output of [–1 1].

scholarly journals GRADING WARNA DAUN TEMBAKAU BAWAH NAUNGAN MENGGUNAKAN JARINGAN SARAF TIRUAN. (Color Grading of Shaded Tobacco Leaves Using Artificial Neural Network)

2017 ◽  
Vol 12 (1) ◽  
pp. 43-57
Author(s):  
Aneke Rintiasti ◽  
Ikhwan Krisnadi
Keyword(s):  
Neural Network ◽  
Raw Material ◽  
Classification Model ◽  
Tobacco Leaves ◽  
Tobacco Leaf ◽  
Leaf Analysis ◽  
Color Grading ◽  
Leaf Image ◽  
Rgb Model

Various cigars, which are present in the community among the elite and prestigious venues, the raw material is a Java Tabak cigars, tobacco from Java, especially Klaten and Jember. Recent years, the availability of labor more difficult with increasing costs skyrocketing, so it must start leading to mechanization. The purpose of this research was to Generate Design of Tobacco Leaf Analysis Applications, Getting Segmentation Model for pixel readout from tobacco leaves, Generate classification models that can be used for the separation of tobacco leaves which is expected to ease the process of evaluation and classification of color in the first sorting Tobacco leaves. Tobacco Leaf used is The Under Shade Tobacco leaf (TBN) consisted of five classes, namely the color Blue / Green (B), Yellow (K), Yellow Sprayed (KV), Red (M), Red Sprayed (MV). Before analyzed the leaves image photographed using a cabinet that unaffected the outside light. TBN leaf image is then analyzed using the RGB model and models HSV, RGB image of the model  is  analyzed using the characteristic leaf color values, The image of leaf TBN that meets the characteristics become an input of Bakcpropagation Neural Networks with the target are 5 color grade which converted into a binary form. The research resulted Segmentation Model for pixel readout TBN tobacco leaves using RGB models, classification model that can be used for the classification of TBN leaves use Neural Network Back Training RGB with an error value = 8.7%.”keywords : besuki tobacco, shaded tobacco, image processingABSTRAK Aneka cerutu, yang hadir di kalangan komunitas elit dan tempat-tempat yang prestisius, bahan bakunya adalah Java Tabak Cerutu, tembakau asal Jawa, khususnya Klaten dan Jember. Beberapa tahun belakangan ini, ketersediaan tenaga kerja semakin sulit den gan biaya yang semakin meroket, sehingga harus mulai mengarah ke mekanisasi. Tujuan Penelitian ini adalah menghasilkan Rancang Bangun Aplikasi Analisa Daun Tembakau, mendapatkan Model Segmentasi untuk pembacaan piksel daun tembakau, menghasilkan Model Klasifikasi yang dapat digunakan untuk Pemisahan daun tembakau,sehingga diharapkan dapat mempermudah proses evaluasi dan klasifikasi warna pada Sortasi I daun Tembakau. Daun Tembakau yang digunakan adalah Daun Tembakau Bawah Naungan (TBN) jenis besuki terdiri dari 5 kelas warna yaitu Biru / Hijau (B), Kuning (K), Kuning Tidak Merata (KV), Merah (M), Merah Tidak Merata (MV). Sebelum dianalisa citra daun difoto menggunakan cabinet yang tidak terpengaruh cahaya luar. Citra daun TBN tersebut kemudian dianalisa menggunakan model RGB, dari model RGB citra daun dianalisa menggunakan karakteristik nilai warna, citra daun TBN yang memenuhi karakteristik menjadi masukan Jaringan Saraf Tiruan Bakcpropagation dengan target 5 kelas warna yang sudah diubah menjadi bentuk biner. Penelitian menghasilkan Model Segmentasi untuk pembacaan piksel daun tembakau TBN menggunakan model RGB, Model Klasifikasi yang dapat digunakan untuk klasifikasi daun TBN menggunakan Neural Network Back PropagationTraining RGB dengan nilai error = 8.7%.Kata Kunci : tembakau besuki, tembakau bawah naungan, pengolahan citra 

scholarly journals Quality of Educational Resources: A Comparative Evaluation of Schools That Joined PISA 2015 from Turkey and Singapore

2018 ◽  
Vol 11 (4) ◽  
pp. 132
Author(s):  
Metin Ozkan ◽  
Suphi Balci ◽  
Selman Kayan ◽  
Engin Is
Keyword(s):  
Logistic Regression ◽  
School Success ◽  
Poor Quality ◽  
Educational Material ◽  
Educational Resources ◽  
Chi Square ◽  
Physical Infrastructure ◽  
Accuracy Level

The objective of the study was to make a comparison among the two countries according to the level of sufficiency of educational resources and to determine the accuracy level at which variables related to educational resources can classify the schools on the basis of countries. Relational survey model was used. The sample group of the study was comprised of 186 schools from Turkey and 174 schools from Singapore for a total of 360 schools. Descriptive analyses and chi-square statistics were used to put forth whether there are differences with regard to the items. Logistic regression analysis was used to make an accurate classification of the schools according to their countries. Statistically significant differences between Turkish and Singapore schools were attained as a result of the chi-square analyses in all variables including lack of educational material, inadequate or poor quality educational material, lack of physical infrastructure and inadequate or poor quality physical infrastructure variables. A total of four variables included in the study explain about 60 % of the variance of Turkish and Singapore schools in having adequate educational resources. The equation obtained from analysis shows that lack of educational material is more important than lack of physical infrastructure. This alone puts forth that school success is related more to the quality of educational material than to physical inadequacies. As a result of the logistic regression with these variables, it was determined that the equation classifies 82% of the total number of 360 schools accurately. As a general conclusion of the study, it was observed with regard to its contributions to the model acquired via logistic regression.

scholarly journals A Novel IoT Enabled System for detection of Infected Leaf for Smart Agricultural

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Abhishek Shukla ◽  
◽  
Dr. Rohit Miri
Keyword(s):  
Real Time ◽  
Learning System ◽  
Infected Leaf ◽  
Time Data ◽  
Leaf Quality ◽  
Accuracy Level ◽  
Real Time Image ◽  
Time Image ◽  
Humidity Monitoring

As we know 2020 is a year which created lots of issues with every type of the business. Even it affects the agricultural eco system. Due to COVID-19 there is very less man power is available and farmers who are doing forming in larger way, they need lots of man power to monitor & maintain their farmers. Due to lack in man power its very difficult for the formers to monitor their farms from remotely, so there is need of system which is able to provide smart agricultural features like temperature & humidity monitoring remotely apart from that farmer have the power to monitor the quality of their leaves. So, in this paper we present an IoT enabled system which is able to track the temperature & Humidity from the remotely apart from that it is also able to capture the image of the leaf and send to server where in server using Computer vision & machine learning system, we will track the leaf quality. In this paper we proposed a hardware unit which is basically using ESP32 Cam and DHT11. Here ESP-32 work as smart CAM which is able to track the image of the leaf and send those real time image to the server. Here we are using think speak to store the accuracy level parameters of each leaf record. Similar we will store temperature & humidity real time data on the think speak server. Think speak server is powered by math work.

scholarly journals Pengaruh Larutan Fixer terhadap Kualitas Pewarnaan Biopigmen Rumput Laut Eucheuma sp. sebagai Pengganti Pewarna Sintetis pada Tekstil [The Influence of Fixer for The Quality of Coloring Biopigmen Eucheuma sp. as a Subtitute for Synthetic Dyes in Textiles]

2019 ◽  
Vol 7 (2) ◽  
pp. 183 ◽  
Author(s):  
Sri Subekti ◽  
Achmad Amarudin ◽  
Moch Amin Alamsjah
Keyword(s):  
Block Design ◽  
Economic Value ◽  
Raw Material ◽  
Aluminium Chloride ◽  
Synthetic Dyes ◽  
Color Fastness ◽  
Test Results ◽  
Drying Process ◽  
Randomized Block Design

Abstract Seaweed Eucheuma sp. is one of the natural resources of Indonesia. Seaweed many processed in dry form after going through a drying process or processed into food ready for consumption. Seaweed is no longer just eaten or used to direct treatment, but can be processed into jelly, Algin, carrageenan (carrageenan) and furselaran (furcellaran) which is an important raw material in the food industry, pharmaceuticals, cosmetics and so on. This plant has an important economic value in various industries such as pharmaceutical, cosmetics, food, textile and paper industries. This study aims to determine the Fixer solution of Tawas, Poly Aluminium Chloride and Kapur Tohor most effective at biopigmen Eucheuma sp. instead of synthetic dyes in textile and determine the best concentration of the solution Fixer Tawas, Poly Aluminium Chloride and Tohor in deciding the color biopigmen Eucheuma sp. instead of synthetic dyes in textiles. This study uses a randomized block design (RAK). This research was conducted by observing and comparing the effect Fixer solution between Tawas, Poly Aluminium Chloride and Kapur Tohor against staining quality biopigmen seaweed Eucheuma sp. instead of synthetic dyes in textiles. Organoleptic test results showed fixation material Poly Aluminium Chloride able to maintain better color than the color produced by the fixation Tawas and Kapur Tohor. Poly Aluminium Chloride fixation material produces a bright brown color, Tawas brown, reddish brown Tohor. The test results of color fastness to rubbing cloth (dry) indicates that the color fastness of the strongest to the weakest sequentially generated from Tawas fixation materials, lime Tohor, Poly Aluminium Chloride, while the test fastness to washing soap and desecration of white cloth from the strongest to The weakest is Poly Aluminium Chloride, Kapur Tohor and Tawas.

scholarly journals Evaluation of Ground Surface Pregrouting in a Mountain Tunnel Based on FAHP

2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Changan Zhu ◽  
Runfang Sun ◽  
Hua Xu ◽  
Yiwei Liu ◽  
Zhuang Chen
Keyword(s):  
Quality Evaluation ◽  
Ground Surface ◽  
Field Tests ◽  
Analytic Hierarchy ◽  
Quality Classification ◽  
Final Score ◽  
Hierarchy Process ◽  
Mountain Tunnel

The quality of ground surface pregrouting (GSPG) is commonly qualitatively evaluated using single factor; however, the quality evaluation involves numerous facets, and a quantitative evaluation is rare. The aim of this study was to quantitatively evaluate the quality of a GSPG based on three aspects. The fuzzy analytic hierarchy process (FAHP) was adopted to obtain the final score and quality classification of the GSPG. Based on three aspects, namely, integrity, continuity, and sturdiness, a series of field tests was also conducted, qualitatively evaluating the quality of the GSPG preliminary, to obtain the required test data and verify the FAHP results. The results of the FAHP showed that the quality of the GSPG was 86.42, which could be classified as “Good”, whereas the field tests exhibited that the GSPG was effective, thereby verifying that the FAHP was reliable. In addition, the proposed method provided a detailed comprehension of the quality evaluation of GSPG and a frame of reference for analogous engineering.

The effect of manganese on tobacco leaf quality and on the inorganic cation levels of tobacco

1970 ◽  
Vol 10 (42) ◽  
pp. 118 ◽  
Author(s):  
AD Johnson ◽  
RW Knowlton
Keyword(s):  
Nicotiana Tabacum ◽  
Calcium Concentration ◽  
Potassium Concentration ◽  
Manganese Content ◽  
Tobacco Plants ◽  
Leaf Quality ◽  
Tobacco Leaf ◽  
Low Concentrations ◽  
Inorganic Cation

In a series of field and pot experiments, quality of cured leaf of tobacco plants Nicotiana tabacum, was adversely affected by increasing leaf levels of manganese. The quality decline manifested itself as a leaf 'greying' effect. Leaf manganese concentrations were readily increased by either foliar or substrate application of manganese. The increase in leaf manganese content was associated with a significant increase in potassium concentration and a significant decrease in calcium concentration in leaves. Sodium and magnesium leaf concentrations were not greatly affected by manganese. It is suggested that the decline in cured leaf quality was associated primarily with a change in the K : Ca : Mg ratio, which occurred at relatively low concentrations of manganese in the leaves. The results of this investigation indicate that the use of manganese-based fungicide sprays could cause a further quality decline of tobacco produced on soils containing high levels of exchangeable manganese.

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