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All Journal CommIT (Communication & Information Technology) Jurnal Sains Teh dan Kina Jurnal Elektronika dan Telekomunikasi Creative Research Journal

Fani Fauziah, Fani

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Author-ID : 634759

Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Other

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Articles

Analysis of Tea Rhizosphere Bacterial Community at the Seedling Stage Using Terminal Restriction Fragment Length Polymorphism (TRFLP) Techniques Susilowati, Dwi Ningsih; Fauziah, Fani; Pranoto, Eko; Hidayat, Ernin; Setyowati, Mamik; Rachmiati, Yati
Jurnal Penelitian Teh dan Kina Vol 19, No 2 (2016)
Publisher : Research Institute for Tea and Cinchona

Bio-imunizer contains an active compound ofÂ Chryseobacterium sp. and Bacillus sp. has been developed by PPTK Gambung. This formula has positive effect on the growth of tea plants also potentially increasing resistance of the plant. The purpose of this study was to determine the effects of bacteria in Bio-imunizer to the rhizosphere bacterial communities as well as the consistency of its existence after application on tea plants at the nursery stage. The technique used in this research is Terminal Restriction Fragment Length Polymorphism based on metagenomic and culture dependent approaches. The value of relative abundance, Shannon diversity index, Pielous evenness index, and Simpson dominance index were calculated. Based on the T-RF profiles of rhizosphere bacterial communities show that Chryseobacterium sp. and Bacillus sp. which is the active compound ofÂ Bio-imunizer consistently found in the tea plant rhizosphere. Application of Bio-imunizer can increase the diversity of rhizosphere bacterial community without affecting the communities that already exist.

The effect of foliar fertilizer and pesticide methomyl in tea plantation after infested by pest: (2) The effect on population and attack intensity of Empoasca flavescens Fauziah, Fani; Haq, Muthia Syafika; Karyudi, Dr.; Rosyadi, Achmad Imron
Jurnal Penelitian Teh dan Kina Vol 18, No 2 (2015)
Publisher : Research Institute for Tea and Cinchona

The aim of this research was to obtain the effect of insecticide combination with nitrogen and zinc foliar fertilizers to Empoasca flave-scens. An experiment was conducted at Gam-bung Experimental Garden, Bandung, West Java. The trial was arranged in a randomized complete block design with nine treatments (A)methomyl; (B) methomyl + ZnSO4 1%; (C) me-thomyl + ZnSO4 2%; (D) methomyl + N 1%; (E) methomyl + N 1% + ZnSO4 1%; (F) metho-myl + N 1% + ZnSO4 2%; (G) methomyl + N 2%; (H) methomyl + N 2% + ZnSO4 1%; and (I) methomyl + N 2% + ZnSO4 2%, replicated three times. Each unit consisted of experiments is 40 plants. The treatments comprised: concen-tration of methomyl 0,5 gram/l with sprayed volume 200 l/ha. The level concentrations of nitrogen and zinc were 1% and 2%. The appli-cation of treatments was sprayed six times after plucking with 12 days interval, respectively. The population and intensity of E. flavescens attack were measured at the time of plucking. The effectiveness of treatment on the population as well as attack intensity of Empoasca con-ducted by measuring the rate of decline through a linear regression approach. The results showed that all of the treatments could reduce the population as well as the attack intensity of E. flavescens but there were no significantly different among others and were comparable to the chemical insecticide treatment. The fastest rate of decline were indicated by the treatment methomyl + N 2% + ZnSO4 1% and methomyl + N 2% + ZnSO4 2%.

Potency of tea plant indigenous microbe on plant growth and to against blister blight disease (Exobasidium vexans Massee) Fauziah, Fani; Setiawati, Mieke Rochimi; Susilowati, Dwi Ningsih; Pranoto, Eko; Rachmiati, Yati
Jurnal Penelitian Teh dan Kina Vol 19, No 1 (2016)
Publisher : Research Institute for Tea and Cinchona

The chemical control method of blister blight (Exobasidium vexans Massee) on tea could inflict various negative impacts. In order to obtain an environmentally sound control method of blister blight disease, a nursery trial has been conducted to know the effectiveness of bacterial combinations. The trial was carried out at Gambung experimental garden, with seven treatments and four replications. The indigenous microbial codes are Azoto II-1, Endo-5 and Endo-76. The treatments tested comprised: control (without bacteria),Â Azoto II-1 25% + Endo-5 75%; Azoto II-1 50% + Endo-5 50%; Azoto II-1 75% + Endo-5 25%;Â Azoto II-1 25% + Endo-76 75%; Azoto II-1 50% + Endo-76 50%; and Azoto II-1 75% + Endo-76 25%. All of the treatments was applied as a soil drench, 50 ml/plant with bacterial concentration at 0,5%. The parameter observed was blister blight disease intensity, plant heights, stem diameter, leaves number, root length, and root volume. The results showed that the combination of Azoto II-1 75% + Endo-5 25% could suppress the intensity of blister blight disease with disease intensity 1.27%. The treatments also affected plant heights, stem diameter, leaves number, root length, and root volume, 15.32 cm; 3.38 cm; 8.05 cm; 18.25 cm and 2.37 cm, respectively.

The effect of drought period on attack intensity of Empoasca sp and blister blight in Gambung tea plantation Rezamela, Erdiansyah; Fauziah, Fani; Dalimoenthe, Salwa Lubnan
Jurnal Penelitian Teh dan Kina Vol 19, No 2 (2016)
Publisher : Research Institute for Tea and Cinchona

El-Nino had a significant impact on micro climate change including in rainfall, temperature and air humidity in Gambung Tea Plantation. In the dry season 2015, Gambung experienced four dry months that affect attack intensity of Empoasca and disease intensity of Blister Blight. This study aimed to determine the relationship between micro climate parameters and attack intensity of Empoasca and disease intensity of Blister Bright. Micro climate observation data were taken from Davis Automatic Weather Station (AWS) including rainfall intensity (mm), relative humidity (%) and maxium air temperature (0C). Attack intensity of Empoasca sp and Blister Bligh were observed by counting the number of healthy P+3 shoots as well as infected shoot from 200-500 gram of wet shoot sample randomly taken from container net at the plucking time. The results showed that the intensity of Empoasca decreased from 16.49% to 12.90% in the dry months from July to October 2015. The disease intensity of Blister Blight only occurred in July. There was a polynomial relationship among rainfall, temperature and humidity to the attack intensity of Empoasca with R2 values of 0.71, 0.77, 0.87, respectively the decrease of attack intensity occurred at ranfall intensity >140 mm, temperature >28Â°C and humidity >80%. Meanwhile linear relationship occurred among rainfall, temperature and humidity to the disease intensity of Blister Blight with R2 values of 0,98; 0,64; and 0,77, respectively the increasing of rainfall and humidity caused the increasing of disease intensity of Blister Blight. However disease intensity of Blister Blight decreased with increase in ambient temperature.

Foliar Fertilizer and Pesticide Methomyl 25% in Tea Plantation after Infested by Pest. (1) Effect of Productivity Increasing and Yield Components haq, muthia syafika; Fauziah, Fani; Karyudi, Karyudi
Jurnal Penelitian Teh dan Kina Vol 18, No 1 (2015)
Publisher : Research Institute for Tea and Cinchona

The experiment of effect of Foliar Fertilizer (N& ZnSo4) and pesticide compatibility with Methomyl 25% compound to increasing Tea Productivity (Camellia sinensis) has been conducted in Research Institute for Tea and Chincona experimental plantation1350 m above sea level and andysol type soil. The experiment started from November 2013 â Februari 2014 Â in produced tea area with 1.080 plant population. Material plantswere GMB 4 clones with second pruning year and 12 days plucking interval. The experiment was arranged on randomized block design with 9 treatments and 3 replicate. Foliar fertilizer and pesticide combination which has been examinedÂ were Â (1) Methomyl 25% (control), (2) Methomyl 25% + Zn 1%, (3) Methomyl 25% + Zn 2%, (4) Methomyl 25% + N 1%, (5) Methomyl 25% + N 2%, (6) Methomyl 25% + N 1% + Zn 1%, (7) Methomyl 25% + N 1% + Zn 2%, (8) Methomyl25% + N 2% + Zn 1%and (9) Methomyl25% + N 2% + Zn 2. Spraying application done every after plucking. The resultsÂ showed that skiffing treatment can control the tea plantation that infested by pest and stimulate the new bud growth. The resultsÂ also showed that productivity increased significantly up to37, 48 % (2.781 gr/40 plants) when the plants were treated with Methomyl + N 1% + Zn 2%.But,the increased production is accompanied by an increase of banjhi because plant still using their nutrition to recovering after pest infested. The weight of pecco which grown from theÂ lateral buds is relatively small because of skiffing. Bud growth rate after given treatment was obtained only 3-4 cm/ 6 days caused by lack of light intensity at the time of reserached

ALTERNATIF PENGENDALIAN Empoasca sp. DENGAN INSEKTISIDA BUPROFEZIN PADA TANAMAN TEH Fauziah, Fani
Creative Research Journal Vol 4, No 02 (2018)
Publisher : Badan Penelitian dan Pengembangan Daerah (BP2D) Provinsi Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (894.979 KB)

Empoasca merupakan hama utama pada tanaman teh yang dapat menimbulkan kerusakan hingga 50%. Penelitian ini bertujuan untuk mengetahui alternatif pengendalian Empoasca dengan insektisida berbahan aktif Buprozein. Penelitian dilaksanakan di Kebun Percobaan Gambung, Kabupaten Bandung, selama ± 3 bulan, dari bulan Maret hingga Mei. Pengujian dirancang dalam Rancangan Acak Kelompok (RAK) dengan lima perlakuan dan lima ulangan. Perlakuan yang diuji meliputi insektisida Buprofezin 100 g/l dengan dosis 0,125; 0,25; 0,375; 0,5 l/ha, dan kontrol. Insektisida disemprotkan dengan menggunakan alat semprot punggung sehari setelah pemetikan, sebanyak 6 kali, dengan interval aplikasi 1 minggu. Parameter yang diamati meliputi intensitas serangan, populasi Empoasca sp., produksi pucuk, suhu dan curah hujan. Hasil pengujian menunjukkan bahwa insektisida Buprofezin 100 g/l pada semua dosis yang diuji berpengaruh terhadap intensitas dan populasi Empoasca sp. Hasil pengamatan menunjukkan bahwa dosis efektivitas tertinggi ditunjukkan oleh dosis formulasi 0,375; 0,5 l/ha dengan tingkat efektivitas lebih dari 70%.

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

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.

DEEP CNNBASED DETECTION FOR TEA CLONE IDENTIFICATION Ramdan, Ade; Suryawati, Endang; Kusumo, R. Budiarianto Suryo; Pardede, Hilman F.; Mahendra, Oka; Dahlan, Rico; Fauziah, Fani; Syahrian, Heri
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.45-50

One factor affecting the quality of tea is the selection of plant material that would be planted on the field. Clonal selection is a common way to produce tea with better quality. However, as a natural cross pollination species, tea often consists of various clones or progenies of cross-pollinated process. This commonly occurs on plantations owned by smallholder farmers. To produce a consistent quality tea, the clones or progenies need to be identified. Usually, human experts distinguish the plants from leaves by visual inspection on the physical attributes of the leaves, such as the textures, the bone structures, and the colors. It is very difficult for non-experts or common farmers to do such identifications. In this, we propose a deep learning-based identification of tea clones. We apply deep convolutional neural network (CNN) to identify 3 types of tea clones of Gambung series, a series of tea clones developed at Research Institute of Tea and Cinchona. Our study indicates that the performance of the CNN systems are affected by the depth of the convolutional layers. VGGNet, a popular CNN architectures with 16 layers, achieves better accuracy compared to AlexNet, a CNN with 6 layers.

Co-Authors Achmad Imron Rosyadi, Achmad Imron Ade Ramdan Dahlan, Rico Dr. Karyudi, Dr. DWI NINGSIH SUSILOWATI Eko Pranoto Erdiansyah Rezamela, Erdiansyah Ernin Hidayat, Ernin Heri Syahrian, Heri Heryana, Ana Karyudi Karyudi, Karyudi Krisnandi, Dikdik Kusumo, R. Budiarianto Suryo Mamik Setyowati, Mamik Mieke Rochimi Setiawati Muthia Syafika Haq, Muthia Syafika Oka Mahendra Pardede, Hilman F. Pardede, Hilman F. Salwa Lubnan Dalimoenthe, Salwa Lubnan Suryawati, Endang Vicky Zilvan, Vicky Vitria Puspitasari Rahadi Yati Rachmiati, Yati Yuwana, R. Sandra

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