Bacterial cellulose is an exopolysaccharide that has a higher level of purity compared to cellulose from plants. Bacterial Cellulose (BC) is widely used for various uses so that it requires certain initial conditions, one of which is thickness. During the fermentation process, cellulose will be secreted into the medium to form BC sheets and visually visible over the time period. The aim of this research was to study the relationship between variables that influence during the fermentation and to fit the kinetic model of the BC thickness formation using image processing approach during the fermentation process. A USB camera was placed in front of the fermenter to capture the formation of BC thickness. Python programming language was used to process the image and calculated the thickness of the BC sheet from the beginning to the end of the fermentation process. Several supporting parameters were observed by placing the turbidity, pH, and medium temperature sensors. Observations were made in real time with a range of data collection every 15 mins during fermentation. The highest correlation value was obtained from the relationship between time and thickness. The fermentation process is divided into 2 clusters, a change in cluster occurs at the 61st hour. The model that describes the relationship between time and thickness was the Gompertz model.

ABSTRAK PENDAHULUANPembangunan ekonomi era otonomi daerah menghadapi berbagai tantangan, baik dari f a k t o r internal maupun eksternal. Masalah kesenjangan dan isu globalisasi berimplikasi pada percepatan pembangunan ekonomi daerah secara terfokus melalui pengembangan kawasan dan produk andalannya. Paradigma pembangunan wilayah saat ini perlu memperhatikan kekhususan wilayah yang dapat meningkatkan potensi wilayah tersebut (Daryanto, 2004). Upaya pembangunan ekonomi daerah mempunyai tujuan utama untuk meningkatkan jumlah dan jenis peluang kerja dengan memanfaatkan sumberdaya yang ada (Harini dkk, 2005;Sulaiman, 2006). Sulaiman, 2006). ).Sektor pertanian merupakan sektor yang berperan penting dalam perekonomian Indonesia. Perkebunan sebagai bagian integral dari sektor pertanian merupakan sub sektor yang mempunyai peranan penting dan strategis dalam pembangunan nasional. Peranannya terlihat nyata dalam penerimaan devisa negara melalui ekspor, penyediaan lapangan kerja, pemenuhan kebutuhan konsumsi dalam negeri, bahan baku berbagai industri dalam negeri, perolehan nilai tambah dan daya saing serta optimalisasi pengelolaan sumberdaya alam secara berkelanjutan. Peranan sub sektor perkebunan bagi perekonomian nasional tercermin dari nilai PDB perkebunan secara kumulatif mengalami peningkatan pada 2005-2010 tumbuh rata-rata

No abstract

The vegetables should be cultivated in an optimal way to obtain maximum yield. In tropical regions such in Indonesia, the growth of vegetables are influenced by climate factors such as humidity, temperature, nutrients and light. To gain the optimal and controlled condition during the growth periode, mustard plants could be cultivated hydroponically in a greenhouse. This study was conducted to identify the growth pattern of mustard (Brassica rappa var. Parachinensis L.) that hydroponically planted in a greenhouse which is equipped with a temperature, nutrients and light control. The aim of this research is to determine the best factors combination that provide the most optimum growth. This research was conducted by three treatments that were temperature, nutrition, and light. Each of the treatment has three variations : temperature (32 °C, 35 °C, and 38 °C), nutrition (2 mS/cm, 5 mS/cm, and 8 mS/cm), and light (7000 lux, 12000 lux, and 17000 lux) so there were 27 cultivation spaces or greenhouses used with different micro-climates. The growth rate was determined by the area of the leaf and it was measured during 48 days of cultivation. Control in each greenhouse is done by a pump actuator, incandescent bulbs and TL lamps. The result showed that temperature, nutrients and light affect on the growth of mustard. By single factor analysis, we found that maximum leaf area was produced at a temperature of 35 °C that was 565 cm-, nutrition 5 mS/cm that was 639.27 cm- and 17000 lux light that was 697.42 cm-. In short, the best growth rate was obtained at a temperature of 35 °C, nutrition of 5 mS/cm, and 17000 lux of light yield 1068.82 cm- of leaf area. Keywords: Light, mustard plants, nutrition, temperature ABSTRAKTanaman sayuran harus dibudidayakan dengan optimal agar diperoleh hasil yang maksimal. Di wilayah tropis seperti di  Indonesia,  pertumbuhan  tanaman  sayuran  dipengaruhi  oleh  beberapa  faktor  iklim  seperti  kelembaban,  suhu, nutrisi dan cahaya. Untuk memperoleh kondisi yang optimal dan terkendali selama periode pertumbuhan, tanaman sawi dibudidayakan secara hidroponik di dalam greenhouse. Penelitian ini dilakukan untuk mengidentifikasi pola pertumbuhan tanaman sawi (Brassica  rappa var. parachinensis L.) yang dibudidayakan secara hidroponik di dalam greenhouse yang dilengkapi dengan kendali suhu, nutrisi dan cahaya. Tujuan penelitian adalah menentukan kombinasi faktor terbaik yang memberikan pertumbuhan paling optimal. Penelitian dilakukan dengan memberikan tiga perlakuan dengan tiga variasi yaitu suhu (32 °C, 35 °C, dan 38 °C), nutrisi (2 mS/cm, 5 mS/cm, dan 8 mS/cm), dan cahaya (7000 lux, 12000 lux, dan 17000 lux) sehingga terdapat 27 ruang budidaya atau greenhouse dengan iklim mikro yang berbeda. Tingkat pertumbuhan ditentukan berdasarkan luas daun dan diukur selama 48 hari budidaya. Kendali di dalam masing- masing greenhouse dilakukan oleh aktuator pompa, lampu pijar dan lampu TL (Flourescent Lamp). Hasil penelitian menunjukkan suhu, nutrisi dan cahaya berpengaruh pada pertumbuhan tanaman sawi. Dari hasil analisis faktor tunggal, luas daun maksimum dihasilkan pada suhu 35 °C yaitu 565 cm-, nutrisi 5 mS/cm yaitu 639,27 cm- dan cahaya 17000 lux yaitu 697,42 cm-. Secara kombinasi, tingkat pertumbuhan terbaik diperoleh pada perlakuan suhu 35 °C, nutrisi 5 mS/cm, dan cahaya 17000 lux dengan hasil luas daun mencapai 1068,82 cm-. Kata kunci: Cahaya, nutrisi, tanaman sawi, suhu

Tropical agriculture production is profoundly affected by the uncontrollable environmental condition. To obtain good agricultural products, farmers manage their farm to fit with the variation of weather and season. The farming managements are generally determined according to farmers personal knowledge, gained from the long-term experience from preceding years. Nowadays, climate change intensifies unpredictable weather and its unstable distribution. Consequently, conventional farming management considering the climate change factor should be considered. The farming management should face the dynamic change of weather condition as well as improve the farmer’s knowledge towards the implementation of precision agriculture approach. The objective of this study was to introduce an appropriate adaptation of precision agriculture technology by the utilization of information and communication technology (ICT) to improve conventional farming management in tropical agriculture production. The framework is implementing cloud technology as a backbone, which can be extended with various knowledge such as data science, plant biology, plant physiology, biophysical, and biomechanical. The appropriate adaptation of precision agriculture represented by the improvement of the conventional farming method using the technological aspect by fostering their knowledge to adopt modern agriculture empowered with Information and Communication Technology (ICT). Learning process from data-information-knowledge on the application of precision agriculture will be documented at the PA Knowledge Management System.