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All Journal JURNAL GIZI INDONESIA ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Kultivasi Jurnal Sains Teh dan Kina Jurnal Elektronika dan Telekomunikasi AGROSAINSTEK: Jurnal Ilmu dan Teknologi Pertanian Jurnal Agro Wiralodra
Heri Syahrian, Heri
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering

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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
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.
Co-Authors Ade Ramdan Agung Karuniawan Akhdya, Alina Akhmad Darmawan Bambang Sriyadi, Bambang Budi Martono Citra Bakti, Citra Dahlan, Rico Dewijanti, Indah Dwiatmi Dwi Budi Santoso DWINITA WIKAN UTAMI Endi Ruhaendi, Endi Fani Fauziah, Fani Galuh Widiyarti Hani Mulyani, Hani Hilman Maulana Koredianto Usman Kusumo, R. Budiarianto Suryo Lia Meilawati Lotulung, Puspa Dewi N. M. Khais Prayoga, M. Khais Megawati - Minarti Minarti Neni Rostini Nina Artanti Noladhi Wicaksana Nono Carsono Nor Kumalasari Caecar Pratiwi Nur Ibrahim Oka Mahendra Pardede, Hilman F. Prayoga, Muhamad Khais Prayoga, Muhammad Khais Rahadi, Vitria P Rizna Triana Dewi Shabri Shabri, Shabri Shohibboniawan, Ahmad Supriadi, Edi Suryawati, Endang Teni Ernawati TRI JOKO SANTOSO Tri Maruto Aji, Tri Maruto Vitria Puspita Rahadi, Vitria Puspita Vitria Puspitasari Rahadi Wahyudin, Abdillah Azzam Wawan Sutari Yudithia Maxiselly