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Heri Syahrian
Research Institute for Tea and Cinchona
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Pengaruh Pemangkasan dan Aplikasi Sitokinin terhadap Pertumbuhan dan Hasil Tanaman Teh (Camellia sinensis) Intan Ratna Dewi Anjarsari; Jajang Sauman Hamdani; Cucu Suherman; Tati Nurmala; Heri Syahrian
Jurnal Tanaman Industri dan Penyegar Vol 6, No 2 (2019): Jurnal Tanaman Industri dan Penyegar
Publisher : Pusat Penelitian dan Pengembangan Perkebunan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jtidp.v6n2.2019.p61-68

Abstract

Pemangkasan pada tanaman teh merupakan salah satu rekayasa ekofisiologi yang dilakukan untuk menginisiasi pertumbuhan tunas sebagai bakal pembentukan pucuk peko. Sitokinin, salah satunya benzil amino purin (BAP), merupakan zat pengatur tumbuh yang dapat diaplikasikan untuk memacu inisiasi tunas setelah pemangkasan. Tujuan penelitian adalah mengetahui pengaruh pemangkasan dan penggunaan sitokinin terhadap pertumbuhan dan hasil tanaman teh. Penelitian dilaksanakan di Kebun Percobaan Pusat Penelitian Teh dan Kina Gambung pada ketinggian 1250 m di atas permukaan laut (dpl), mulai bulan Juni sampai Agustus 2018. Penelitian menggunakan tanaman menghasilkan (TM) klon GMB 7 berumur 7 tahun. Rancangan percobaan yang digunakan adalah rancangan acak kelompok (RAK) yang terdiri dari 8 kombinasi perlakuan dengan 4 ulangan sehingga terdapat 32 unit percobaan, meliputi perlakuan pemangkasan bersih dan pemangkasan jambul/ajir, tinggi pemangkasan 40 cm dan 60 cm, serta konsentrasi zat pengatur tumbuh BAP. Peubah yang diamati adalah jumlah pucuk peko, jumlah pucuk burung, bobot segar dan kering pucuk. Hasil penelitian menunjukkan bahwa kombinasi dari jenis dan tinggi pangkasan dengan pemberian BAP berpengaruh terhadap jumlah pucuk peko dan pucuk burung pada pemetikan ke-3, namun tidak berpengaruh terhadap bobot segar dan kering pucuk. Perlakuan pemangkasan secara bersih ataupun jambul/ajir pada tinggi pangkas 60 cm dan diikuti pemberian BAP 60 ppm, merupakan perlakuan terbaik dalam menghasilkan jumlah pucuk peko  dan mengurangi jumlah pucuk burung.
Deep CNNBased Detection for Tea Clone Identification Ade Ramdan; Endang Suryawati; R. Budiarianto Suryo Kusumo; Hilman F. Pardede; Oka Mahendra; Rico Dahlan; Fani Fauziah; Heri Syahrian
Jurnal Elektronika dan Telekomunikasi Vol 19, No 2 (2019)
Publisher : LIPI Press

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

Abstract

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.
The growth test of tea clones (Camellia sinensis) from cross pollination first generation clones Vitria Puspitasari Rahadi; Heri Syahrian; Bambang Sriyadi
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 | 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.
Co-Authors Ade Ramdan Bambang Sriyadi Cucu Suherman Endang Suryawati Fani Fauziah Hilman F. Pardede Intan Ratna Dewi Anjarsari Jajang Sauman Hamdani Oka Mahendra R. Budiarianto Suryo Kusumo Rico Dahlan Tati Nurmala Vitria Puspitasari Rahadi