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NONPARAMETRIC STABILITY ANALYSIS OF YIELD FOR NINE CHILI PEPPER (Capsicum annuum L.) GENOTYPES IN EIGHT ENVIRONMENTS Rahadi, Vitria Puspitasari; Syukur, Muhamad; Sujiprihati, Sriani; Yunianti, Rahmi
AGRIVITA, Journal of Agricultural Science Vol 35, No 2 (2013)
Publisher : Faculty of Agriculture University of Brawijaya and Indonesian Agronomic Assossiation

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

 The objectives of this study were to compare nonparametric stability measures, and to identify promising high yield and stability of chili pepper (Capsicum annuum L.) genotypes in eight environments. In every environment, a Randomized Complete Block Design was used with three replications. The method of Nassar and Huehn, Kang, Fox, and Thennarasu was used to analyze the stability and high yield. Spearman’s correlation and Principal Component analysis distinguishes the methods based on two different concepts of stability: the static (biological) and dynamic (agronomic) concepts. The top method was found to be the dynamic stability. Meanwhile, the methods of Si1, Si2, Si3, Si6, Npi1, NPi2, NPi3 and NPi4 were found to be the static stability. Based on the ranking frequency stability of the nonparametric method, the genotypes with the highest frequency of static stability ranking were genotypes IPB002003, IPB002046, IPB009019 and Tit Super, whereas IPB009002 and Tombak were categorized as those of dynamic stability. Genotype IPB120005 and IPB019015 were less adaptable in the multiple environments tested. It shows that the genotypes were specific in certain environments. IPB120005 had high yield and specific location in Boyolali in dry season and IPB019015 genotype was specific in Bogor in wet season. Keywords: chili pepper, nonparametric stability, high yield, dynamic stablility
Correlations between morphological traits and catechin content on tea (Camellia sinensis (L.) O. Kuntze) Syahrian, Heri; Carsono, Nono; Rostini, Neni; Rahadi, Vitria Puspitasari; Sriyadi, Bambang
Jurnal Penelitian Teh dan Kina Vol 18, No 1 (2015)
Publisher : Research Institute for Tea and Cinchona

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (210.981 KB) | DOI: 10.22302/pptk.jur.jptk.v18i1.64

Abstract

Catechin content in tea plant is a major character in tea breeding program for a healthy beverage. A tea breeding program for high catechin content maybe will performed by indirect selecting a trait or traits that signi­ficantly correlated with high catechin content. This research was performed to identify mor­phological traits which maybe significantly correlated with high catechin content in tea plant. A randomized complete block design with three replications was used in this experiment using 10 selected clones. The experiment was performed in Gambung Experimental Station ot the Research Institute for Tea and Cinchona, Gambung, West Java. Catechin content, tri­choma density of young leaves, weight of p+2, size of mother leaves, chlorophyll content of mother leaf, stomatal density of mother leaf, mother leaf thickness, and mother leaf angle, were measured. The results indicated that stomatal density and mother leaf angle were significantly correlated. Based on path analysis indirect selection for high catechin content could be performed by selecting stomatal density considering to trichoma density, mother leaf angle and chlorophyll content. In addition, indirect selection for high catechin content could be performed by selecting other leaf angle independently without considering other morphological traits.
The growth test of tea clones (Camellia sinensis) from cross pollination first generation clones Rahadi, Vitria Puspitasari; Syahrian, Heri; Sriyadi, Bambang
Jurnal Penelitian Teh dan Kina Vol 19, No 2 (2016)
Publisher : Research Institute for Tea and Cinchona

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.399 KB) | DOI: 10.22302/pptk.jur.jptk.v19i2.118

Abstract

Efforts to improve the productivity of tea needed new high yielding clones were obtained from the cross and easily propagated vegetatively. Preliminary testing of the clones  needs to be done to determine the growth of cuttings and rooting properties of tea clones from hybridization which are selected by potential production. This study used a Randomized Complate Block Design with three replications. The treatments consist of 14 clones from crosses and GMB 7 as clone comparison. The data is analyzed by using ANOVA and Scott Knott test with the level of 5%. The observations are intended to look at the growth of roots and shoots by dismantling seedling in polybag predetermined randomly at each observation. The results showed that the clones tested had good growth with a low mortality rate, and easily propagated vegetatively. The S / R ratio also showed shoot growth more faster than the growth of root. This character is advantageous because the most appropriate selection criteria for planting in the field.
Kadar pati akar dan sitokinin endogen pada tanaman teh menghasilkan sebagai dasar penentuan pemangkasan dan aplikasi zat pengatur tumbuh Anjarsari, Intan Ratna Dewi; Hamdani, Jajang Sauman; Victor Zar, Cucu Suherman; Nurmala, Tati; Sahrian, Heri; Rahadi, Vitria Puspitasari
Kultivasi Vol 17, No 2 (2018)
Publisher : Fakultas Pertanian UNPAD

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (200.569 KB) | DOI: 10.24198/kltv.v17i2.16786

Abstract

ABSTRAK Pemangkasan pada tanaman teh dilakukan salah satunya untuk menginisiasi tumbuhnya banyak tunas sebagai bakal pembentukan pucuk peko. Pemangkasan mengubah luas daun, kapasitas fotosintesis perdu, mempengaruhi keseimbangan metabolisme antara organ di atas dan di bawah tanah dengan  mengurangi  jumlah tumbuh tunas yang berfungsi sebagai sumber dan pengguna untuk nutrisi dan hormon. Sampai saat ini pertumbuhan tunas sebagai bakal daun setelah pemangkasan terjadi secara alami tanpa penambahan zat pengatur tumbuh (ZPT). Pada dasarnya rekayasa fisiologis dengan menggunakan ZPT sitokinin dapat menjadi pilihan untuk lebih memacu pertumbuhan cabang lateral dan tunas serta memecahkan dormansi pucuk. Tujuan penelitian pendahuluan ini  adalah untuk mengetahui   kadar pati akar, kadar sitokinin endogen, serta status hara tanah  guna menentukan waktu pemangkasan yang tepat dan dasar untuk dilakukan aplikasi zat pengatur tumbuh setelah dipangkas. Penelitian selanjutnya adalah penggunaan sitokinin BAP pada berbgai dosis pada tanaman teh yang sudah dipangkas.  Penelitian pendahuluan dilakukan pada bulan Agustus  hingga Oktober 2017 di kebun percobaan Pusat Penelitian Teh dan Kina (PPTK) Gambung  pada ketinggian 1250 m di atas permukaan laut (dpl). Metode pengambilan sampel daun, akar, dan tanah di lapangan dilakukan secara komposit untuk setiap ulangan selanjutnya dilakukan analisis pati akar, sitokinin endogen serta hara tanah. Hasil uji kualitatif pati akar menggunakan iodium mengindikasikan bahwa tanaman teh siap untuk dipangkas terlihat dari sampel akar yang ditetesi iodium menunjukkan warna hitam. Hasil analisis laboratorium menunjukkan bahwa kadar pai akar berada pada kisaran 6.99 % hingga 9,16% dan sitokinin endogen ada pad akisaran 0,0016% hingga0,0019%.  Penentuan kadar pati akar, kondisi lingkungan serta status hara sebelum pemangkas diperlukan agar meminimalisasi tingkat kematian perdu teh serta analisis sitokinin endogen diperlukan untuk lebih  mengoptimalkan dosis sitokinin yang akan diberikanKata Kunci : pemangkasan, sitokinin endogen, kadar pati akar. ABSTRACT  Pruning on tea plants is  perfomed initiating growth of shoots to be pecco stadia. Pruning changes the leaf area, the capacity of photosynthetic tea bush, affecting the metabolic balance between upper and underground organs by reducing the growing number of buds that function as sources and sinks for nutrients and hormones. Until now the growth of shoots as leaf will after pruning occurs naturally without the addition of plant growth regulating substances (PGR). Essentially physiological engineering using  cytokinins can be an option to increase the growth of lateral branches and buds as well as break the shoot dormancy. The preliminary study was conducted from August to October 2017 at experimental field of Gambung Tea and Quinine Research Center (PPTK) at an altitude of 1250 m above sea level (asl). Preliminary method used in the form of analysis of root starch, endogenous cytokinin and soil nutrients to  determined the proper pruning time and the basis for the application of  plant growth regulator substances after pruning. The results of a qualitative test of root content using iodine indicated that the tea plant was ready to be pruned visible from the root samples that iodized spots showed black. The result of  laboratory test  showed that root starch content was in the range of 6.99 to 9.16. and cytokinin endogen  preliminary analysis showed that the levels are in the range of 0.0016 up to 0.0019. Determination of root starch, environmental conditions and nutrient status before pruning is necessary in order to minimize mortality rate of tea bush as well as analysis of endogenous cytokinin is needed to further optimize the dose of cytokinin to be given. Keywords : cytokinins, pruning,  root starch content
Diseases Classification for Tea Plant Using Concatenated Convolution Neural Network Krisnandi, Dikdik; Pardede, Hilman F.; Yuwana, R. Sandra; Zilvan, Vicky; Heryana, Ana; Fauziah, Fani; Rahadi, Vitria Puspitasari
CommIT (Communication and Information Technology) Journal Vol 13, No 2 (2019): CommIT Vol. 13 No. 2 Tahun 2019
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v13i2.5886

Abstract

Plant diseases can cause a significant decrease in tea crop production. Early disease detection can help to minimize the loss. For tea plants, experts can identify the diseases by visual inspection on the leaves. However, providing experts to deal with disease identification may be very costly. The machine learning technology can be implemented to provide automatic plant disease detection. Currently, deep learning is state-of-the-art for object identification in computer vision. In this study, the researchers propose the Convolutional Neural Network (CNN) for tea disease detections. The researchers focus on the implementation of concatenated CNN, namely GoogleNet, Xception, and Inception-ResNet-v2, for this task. About 4727 images of tea leaves are collected, comprising of three types of diseases that commonly occur in Indonesia and a healthy class. The experimental results confirm the effectiveness of concatenated CNN for tea disease detections. The accuracy of 89.64% is achieved.
Stabilitas Parameter Kualitas 35 Klon Teh Sinensis (Camellia Sinensis var. Sinensis) Yang Diolah Menjadi Teh Hijau Dengan Metode Panning dan Steaming Prayoga, M. Khais; Syahrian, Heri; Rahadi, Vitria Puspitasari; Maulana, Hilman; Shabri, Shabri; Akhdya, Alina; Martono, Budi; Santoso, Tri Joko; Utami, Dwinita Wikan
AGROSAINSTEK: Jurnal Ilmu dan Teknologi Pertanian Vol 7 No 2 (2023): AGROSAINSTEK: Jurnal Ilmu dan Teknologi Pertanian
Publisher : Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/agrosainstek.v7i2.505

Abstract

The Research Institute for Tea and Cinchona (RITC) has a collection of 35 tea clones of the Sinensis type whose performance parameters for green tea are unknown, so it is necessary to screen these clones as an effort to characterize the performance parameters for green tea quality. The purpose of this study was to determine the clones with stable quality parameter performance in two processing methods namely panning and steaming as well as the suitability of each clone with the processing method. The diversity of green tea quality parameter performance was analyzed using principal component analysis (PCA). The stability of the green tea quality parameters was tested using the Finaly-Wilkinson method, while the differences in the performance of the green tea quality parameters in the panning and steaming methods were analyzed using combined variance followed by an additional Honest Significant Difference (BNJ) test at the 5% level. The results of this study were clones I.1.101, I.2.34, I.2.85, II.1.3, II.1.60, R1, S2, GMBS 3, and GMBS 4 which had stable green tea quality in two processing methods, namely panning and steaming. . Meanwhile clones I.2.34, I.4.113, II.2.146, II.3.16, R3, S1, S3, and GMBS 3 will show good quality green tea when processed using the panning method, while clones I.1.93, II.2.108 , II.4.32, II.4.178, SGMBA, and Yabukita will show good quality green tea when processed using the steaming method.
Evaluasi Optimizer pada Residual Network untuk Klasifikasi Klon Teh Seri GMB Berbasis Citra Daun USMAN, KOREDIANTO; PRATIWI, NOR KUMALASARI CAECAR; IBRAHIM, NUR; SYAHRIAN, HERI; RAHADI, VITRIA PUSPITASARI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.841

Abstract

ABSTRAKKomoditas teh berperan strategis terhadap pertumbuhan perekonomian Indonesia, salah satunya dari teh klon Gambung (GMB). Klon GMB memiliki beberapa karakter khas, dengan tingkat kemiripan morfologi yang sangat tinggi. Hal ini berdampak pada proses pengenalan klon GMB dilakukan melalui pengamatan visual oleh tenaga ahli sangat rentan terhadap kesalahan identifikasi. Sehingga, dalam penelitian ini dirancang suatu sistem identifikasi terhadap 11 klon teh seri GMB (GMB-1 hingga GMB-11) dengan menggunakan arsitektur ResNet101. Evaluasi sistem akan dilakukan dengan membandingkan tujuh algoritma optimizer yang berbeda, yaitu; Adam, SGD, RMSProp, AdaGrad, AdaMax, AdaDelta dan Nadam. Hasil pengujian menunjukkan bahwa Adam dan SGD memberikan nilai rata-rata presisi, recall dan F1-score terbaik. Selain itu, Adam memberikan nilai akurasi yang cenderung stabil sejak iterasi pertama. Metode yang diusulkan memberikan tingkat presisi, recall, F1-score sebesar 96% dan akurasi terbaik sebesar 97%.Kata kunci: klasifikasi daun teh, seri Gambung (GMB), CNN, ResNet101 ABSTRACTGambung (GMB) tea is one of the tea commodities that plays a key role in Indonesia's economic development. GMB clones have a number of distinguishing characteristics, including a high degree of morphological similarities. This has an impact on the process of identifying GMB clones through visual observation by experts who are subject to mistakes. In this study, ResNet101 architecture was used to create an identification scheme for 11 tea clones from the GMB series (GMB-1 to GMB-11). System evaluation will be carried out by comparing seven different optimizer; Adam, SGD, RMSProp, AdaGrad, AdaMax, AdaDelta, and Nadam. The test results indicate that Adam and SGD have the highest average accuracy, recall, and f1-score values. Adam also has an accuracy value that has remained consistent since the first iteration. The proposed method provides highest precision, recall, F1-score of 96% and accuracy of 97%.Keywords: tea leaves classification, GMB series, CNN, ResNet101
NONPARAMETRIC STABILITY ANALYSIS OF YIELD FOR NINE CHILI PEPPER (Capsicum annuum L.) GENOTYPES IN EIGHT ENVIRONMENTS Rahadi, Vitria Puspitasari; Syukur, Muhamad; Sujiprihati, Sriani; Yunianti, Rahmi
AGRIVITA Journal of Agricultural Science Vol 35, No 2 (2013)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v35i2.273

Abstract

 The objectives of this study were to compare nonparametric stability measures, and to identify promising high yield and stability of chili pepper (Capsicum annuum L.) genotypes in eight environments. In every environment, a Randomized Complete Block Design was used with three replications. The method of Nassar and Huehn, Kang, Fox, and Thennarasu was used to analyze the stability and high yield. Spearman’s correlation and Principal Component analysis distinguishes the methods based on two different concepts of stability: the static (biological) and dynamic (agronomic) concepts. The top method was found to be the dynamic stability. Meanwhile, the methods of Si1, Si2, Si3, Si6, Npi1, NPi2, NPi3 and NPi4 were found to be the static stability. Based on the ranking frequency stability of the nonparametric method, the genotypes with the highest frequency of static stability ranking were genotypes IPB002003, IPB002046, IPB009019 and Tit Super, whereas IPB009002 and Tombak were categorized as those of dynamic stability. Genotype IPB120005 and IPB019015 were less adaptable in the multiple environments tested. It shows that the genotypes were specific in certain environments. IPB120005 had high yield and specific location in Boyolali in dry season and IPB019015 genotype was specific in Bogor in wet season. Keywords: chili pepper, nonparametric stability, high yield, dynamic stablility
Stabilitas Parameter Kualitas 35 Klon Teh Sinensis (Camellia Sinensis var. Sinensis) Yang Diolah Menjadi Teh Hijau Dengan Metode Panning dan Steaming Prayoga, M. Khais; Syahrian, Heri; Rahadi, Vitria Puspitasari; Maulana, Hilman; Shabri, Shabri; Akhdya, Alina; Martono, Budi; Santoso, Tri Joko; Utami, Dwinita Wikan
AGROSAINSTEK: Jurnal Ilmu dan Teknologi Pertanian Vol 7 No 2 (2023): AGROSAINSTEK: Jurnal Ilmu dan Teknologi Pertanian
Publisher : Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/agrosainstek.v7i2.505

Abstract

The Research Institute for Tea and Cinchona (RITC) has a collection of 35 tea clones of the Sinensis type whose performance parameters for green tea are unknown, so it is necessary to screen these clones as an effort to characterize the performance parameters for green tea quality. The purpose of this study was to determine the clones with stable quality parameter performance in two processing methods namely panning and steaming as well as the suitability of each clone with the processing method. The diversity of green tea quality parameter performance was analyzed using principal component analysis (PCA). The stability of the green tea quality parameters was tested using the Finaly-Wilkinson method, while the differences in the performance of the green tea quality parameters in the panning and steaming methods were analyzed using combined variance followed by an additional Honest Significant Difference (BNJ) test at the 5% level. The results of this study were clones I.1.101, I.2.34, I.2.85, II.1.3, II.1.60, R1, S2, GMBS 3, and GMBS 4 which had stable green tea quality in two processing methods, namely panning and steaming. . Meanwhile clones I.2.34, I.4.113, II.2.146, II.3.16, R3, S1, S3, and GMBS 3 will show good quality green tea when processed using the panning method, while clones I.1.93, II.2.108 , II.4.32, II.4.178, SGMBA, and Yabukita will show good quality green tea when processed using the steaming method.