STUDI POLA KONSUMSI TEH DI INDONESIA UNTUK MENDUKUNG DIVERSIFIKASI PRODUK YANG BERKELANJUTAN (A Study of Tea Consumption Pattern in Indonesia Toward Sustainable Product Diversification)

Research to explore consumer perspective toward tea product requirements has been being emphasized around the globe, as well as the advancing variety of consumer demand and market competitiveness. Particularly in Indonesia, broader market needs and government relevant policies toward environmental consideration made these issues also need to be significantly addressed. This study aimed to analyze tea in consumption patterns Indonesia to support diversified sustainable products. The research design was conducted using survey method. A questionnaire was developed using structured interviews, with the number of respondents as many as 188 people. This survey was accommodating general type of tea such as green tea, white tea, black tea, etc. The result showed that respondents’ preferences toward tea belong to tea bags the most, with percentage 57.45%, powdered tea 28.19% and ready to drink tea 14.36%. Respondents age of 31-40 years old most widely consumed tea everyday (1.90 cup.day-1). As many as 78.19% of respondents were chose to consumed plain tea, followed by milk added tea 12.23% and creamer added tea 9.57%.   Further analysis using the Likelihood Ratio Test showed that age, gender and occupation factors were not a significant factor in the variety of tea types. To support the sustainable tea industry consumer behavior is also very important to be studied because consumers usually ask for high production standards but with a cheap cost.Keywords: consumption pattern, preference, product diversification, sustainable industry, teaABSTRAKPenelitian mengenai eksplorasi perspektif konsumen terhadap persyaratan produk teh telah menjadi perhatian dunia, seiring dengan meningkatnya permintaan konsumen dan daya saing pasar. Khususnya di Indonesia, kebutuhan pasar yang lebih luas dan kebijakan pemerintah yang relevan terhadap pertimbangan lingkungan membuat masalah ini juga perlu ditangani secara signifikan. Penelitian ini memiliki tujuan untuk menganalisis pola konsumsi teh di Indonesia untuk mendukung diversifikasi produk yang berkelanjutan. Desain penelitian dilakukan dengan menggunakan metode survei. Kuesioner dikembangkan menggunakan wawancara terstruktur, dengan jumlah responden sebanyak 188 orang. Survei ini mengakomodasi teh secara umum, seperti teh hijau, teh putih, teh hitam, dan lain-lain . Hasil penelitian menunjukkan preferensi responden terhadap teh yang paling dominan adalah jenis teh celup (57,45%), teh serbuk (28,19%) dan teh siap minum (14,36%). Responden dengan usia 31-40 tahun paling banyak menkonsumsi teh setiap hari (1,90 gelas.hari-1). Sebanyak 78,19% responden memilih konsumsi teh tawar setiap hari, diikuti oleh teh dengan susu 12,23% dan teh dengan krimer 9,57%. Hasil analisis lebih lanjut menggunakan Likelihood Ratio Test, didapatkan bahwa antara variabel usia, jenis kelamin dan pekerjaan tidak terdapat pengaruh yang signifikan dalam pemilihan jenis teh.Kata kunci: diversifikasi produk, industri berkelanjutan, pola konsumsi, preferensi, te

Klasifikasi Tingkat Kematangan Pucuk Daun Teh menggunakan Metode Convolutional Neural Network

ABSTRAKIndonesia merupakan salah satu negara besar pengekspor teh di dunia. Luasnya area perkebunan teh menyebabkan setiap blok tanam daun teh memiliki waktu petik dan tingkat kematangan yang berbeda. Sehingga salah satu upaya untuk mengetahui tingkat kematangan daun teh yaitu menerapkan sistem otomatisasi menggunakan pengolahan citra digital. Pada penelitian ini dirancang sebuah sistem klasifikasi tingkat kematangan pucuk daun teh dari jenis sampel varietas Assamica Klon (GMB 7) yang yang berada pada Pusat Penelitian Teh dan Kina Gambung. Penelitian ini menerapkan metode pengolahan citra digital dengan algoritma Convolutional Neural Network (CNN) menggunakan Arsitektur VGGNET19 dan ResNet50. Hasil pengujian sistem memperoleh nilai akurasi terbaik sebesar 97.5% dengan menggunakan arsitektur VGGNET19, Optimizer RMSprop, learning rate 0.01, batch size 32 dan epoch 100.Kata kunci: teh, klasifikasi, Convolutional Neural Network, VGGNET19, ResNet50 ABSTRACTIndonesia is one of the major tea exporting countries in the world. The large area of tea plantations causes each tea leaves planting block to have a different picking time and maturity level. So that one of the efforts to determine the maturity level of tea leaves is to apply an automation system using digital image processing. In this study, a classification system for the maturity level of tea leaves design from the Assamica Klon (GMB 7) variety sample located at the Gambung Tea and Quinine Research Center. This study applies a digital image processing method with the Convolutional Neural Network (CNN) algorithm using VGGNET19 and ResNet50 Architecture. The results of the system test obtained the best accuracy value of 97.5% using the VGGNET19 architecture, RMSprop Optimizer, learning rate 0.01, batch size 32 and epoch 100.Keywords: tea, classification, Convolutional Neural Network, VGGNET19, ResNet5

The renewability indicator and cumulative degree of perfection for gamboeng tea; part.1, exergy calculation of fresh tea leaf

Renewability Indicator (RI) and Cumulative Degree of Perfection (CDP) are employed as tools to assess sustainability of Gamboeng Tea. The assessment then compared with black tea process in Black Sea Region in Turkey from the previous study. Exergy analysis for Gamboeng tea was decribed in two part of articles. This first part was desribing the energy and exergy calculation for producing fresh tea leaf in Gamboeng tea plantation. The energy and exergy utilization for black sea fresh tea leaves was calculated to be 807.83 MJ/t of fresh leaf, 273.43MJ/t of fresh leaf, respectively. For the Gamboeng green tea, the energy and exergy utilization were 1496.38 MJ/ t of fresh leaf and 821.86 MJ/t of fresh leaf, respectively.The second part desribed cooperation of wood pellet with ambient-adapting controller uin tea factorywas a contribution from Gamboeng Tea for achieving Sustainable Development Goal which is affordable and clean energy and also an applicable climate action

The renewability indicator and cumulative degree of perfection for gamboeng tea; part.1, exergy calculation of fresh tea leaf

Renewability Indicator (RI) and Cumulative Degree of Perfection (CDP) are employed as tools to assess sustainability of Gamboeng Tea. The assessment then compared with black tea process in Black Sea Region in Turkey from the previous study. Exergy analysis for Gamboeng tea was decribed in two part of articles. This first part was desribing the energy and exergy calculation for producing fresh tea leaf in Gamboeng tea plantation. The energy and exergy utilization for black sea fresh tea leaves was calculated to be 807.83 MJ/t of fresh leaf, 273.43MJ/t of fresh leaf, respectively. For the Gamboeng green tea, the energy and exergy utilization were 1496.38 MJ/ t of fresh leaf and 821.86 MJ/t of fresh leaf, respectively.The second part desribed cooperation of wood pellet with ambient-adapting controller uin tea factorywas a contribution from Gamboeng Tea for achieving Sustainable Development Goal which is affordable and clean energy and also an applicable climate action

Life cycle inventory of green tea production: case of gambung

Since long times ago, Indonesia has been known as one of foremost tea producers in the world. However, in recent years the total export contribution of Indonesian tea is declining. High competition and environmental sustainability issues is among the causing factors. Meanwhile, life cycle assessment has gained more attention to measure the potential impact of a product over its stages, from material extraction, production, distribution, consumption and product disposal. In this study, a life cycle inventory analysis has been performed to Indonesian green tea, using case of Gambung’s green tea factory in West Java Province, Indonesia. Data collection and calculations intended to quantify inputs and outputs of green tea production. The analysis itself was done in the basis of literature study and field data collection. The result of such inventory analysis indicates that to produce 3.2 ton of bulk green tea, needs 15 ton of fresh tea leaf, 31 tubes LPG of 50 kg and 2.7 ton wood pellet are needed. This process also produces 54 kg waste of ash wood pellet, 130 kg crushed-burnt leaf, 65 kg residue, and 11.6 ton vapor released

Life cycle inventory of green tea production: case of gambung

Since long times ago, Indonesia has been known as one of foremost tea producers in the world. However, in recent years the total export contribution of Indonesian tea is declining. High competition and environmental sustainability issues is among the causing factors. Meanwhile, life cycle assessment has gained more attention to measure the potential impact of a product over its stages, from material extraction, production, distribution, consumption and product disposal. In this study, a life cycle inventory analysis has been performed to Indonesian green tea, using case of Gambung’s green tea factory in West Java Province, Indonesia. Data collection and calculations intended to quantify inputs and outputs of green tea production. The analysis itself was done in the basis of literature study and field data collection. The result of such inventory analysis indicates that to produce 3.2 ton of bulk green tea, needs 15 ton of fresh tea leaf, 31 tubes LPG of 50 kg and 2.7 ton wood pellet are needed. This process also produces 54 kg waste of ash wood pellet, 130 kg crushed-burnt leaf, 65 kg residue, and 11.6 ton vapor released