Information and communication technology (ICT) utilization in the agricultural sector is crucial to increase productivity, farming efficiency, and agricultural information seeking. Therefore, increasing the number of young farmers who mastered employing ict is essential. The study was conducted to analyze the attitudes of young farmers in the Lebak Regency towards the sustainability of on-farm business based on the carrying capacity of ICT. The survey engaged 66 young farmers in Lebak Regency, which were drawn by proportional simple random sampling. Path analysis was applied to analyze the data. The result showed young farmers’ behaviour of seeking digital agriculture information directly affects the success of the seeking activities. The success of seeking digital agriculture information affects the attitude of on-farm activity sustainability. The behaviour of seeking digital agriculture information affects the attitudes of young farmers towards the sustainability of on-farm work through the success of seeking digital agriculture information.
West Java and Banten Provinces have diverse local red rice varieties/accessions to support national food security, not only in terms of quantity but also the quality of rice. Good eating quality is closely related to palatability. Palatability is a property that is directly related to the quality of rice feeding, aroma, appearance, taste and texture. This study aimed to analyze the genetic diversity and DNA fingerprint profiles of local red rice accessions from West Java dan Banten using molecular markers related to palatability. A total of 12 red rice accessions and four local red rice accessions from Banten and West Java Provinces were estimated their genetic diversity, respectively. The SSR primers used were Ams (linked with aspartate aminotransferase), GPA (glucosamine-fructose-6-phosphate aminotransferase), GBSS1 (granule-bound starch synthase), CBG (nano cyanogenic β-glucosidase), SS1 (starch synthase), SBE1 (glucosidic linkage of a-polyglucan), RM510 (gel consistency), RM13 (protein content) and RM410 (aromatic). The dendrogram showed two main groups of red rice accessions. The first group consisted of Mayang, Tambleg, Sengkeuhan, Pare Jaketra, Jalawara Hawara, Gadok, Carogol, Beureum Batu, Waren, Segubal, Tampai Beureum and Leger Pondok (similarity reached 80.5%). The second group consists of Kapundung, Cere Beureum and Cireh Hideung with a similarity of 79.5%.
The research aims at monitoring the humidity of chilli plants on aeroponic growing media in greenhouses. The aeroponic system is used because of limited land for planting chili, while the Greenhouse is designed to manipulate the climate needed for chili plants to be able to grow optimally to produce chili with good quality and quantity. Moisture measurements are carried out using the DHT11 sensor connected to Arduino Mega 2560. The humidity value is monitored in the morning, afternoon and evening. The moisture value read by the DHT11 sensor is displayed on the 16x2 LDC (Liquid Crystal Display) found on the aeroponic table to make it easier to observe the moisture values needed by chili plants. The monitoring results are 3 morning conditions between 83%-95%, Daytime 63%-79%, Afternoon 78%-84% This is the material of knowledge before exercising humidity control according to the aeroponic setpoint in the greenhouse.
One of the main pests on the cocoa plant is the cocoa pod borer. The use of natural pesticides can be an alternative solution in overcoming cocoa pod borer to replace synthetic pesticides. Neem is a plant that can be used as a base for natural pesticides. The main ingredients of neem are azadirachtin, meliantriol, salanin, nimbin, and nimbidine. Azadirachtin does not directly kill pests but can affect the life cycle of pests, as food repellents, and as a repellent. The purpose of this study was to determine the level of attack of the cocoa pod borer (conopomorpha cramerella) due to the combination of several concentrations of neem (Azadiracta indica) solution. This research was conducted in a cocoa farm belonging to the residents of Lurang hamlet, Sukalaba Village, Gunung Sari District, Serang Regency, Banten Province. This research was conducted from November 2019 to April 2020. The experimental design used in this study was a one-factor combination of randomized block design repeated four times and the treatments were control, concentration of 15%, 25%, and 35% solution of young leaves and neem seeds plus palm olein biosurfactant diethanolamide (DEA) with fruit sizes 0.1-2.0 cm and 8.0-10.0 cm. The data were analyzed using analysis of variance (ANOVA) then tested using Duncan’s Multiple Range Test at the 5% level. The results showed that the combination treatment of concentration 15% solution of young leaves and neem seeds added with 5% DEA biosurfactant olein palm with a fruit size of 0.1-2.0 cm and the combination treatment of concentration 35% solution of young leaves and neem seeds added with 5% DEA biosurfactant olein palm with a fruit size of 8.0-10.0 cm performed the best effect on attack intensity.
This research was aimed to know effect of organic matter of chicken manure with bioactivator application of microbial rhizosphere inoculant to growth and yield of soybean (Glycine max (L.) Merril). The research was conducted from February 2017 to Mei 2017, located at Panimbang District, Pandeglang Regency, Banten Province, Indonesia. This study used a randomized completely block design one factor that is giving of chicken manure matter with IMR bioactivator application consists of six levels. Thus, there are six treatments and each treatment was replicated four times as a group, so there are 24 experimental units. The results showed that the application of organic waste of chicken manure along with bioactivator application gave a significant effect on the number of leaves of soybean plant age of 5 week after planted and no significant effect on soybean plant height aged 5 and 6 week after planted, leaf number 6 week after planted, number of root nodule, number of pods of contents, number of empty pods, dry weight of seeds per plant, weight of 100 seeds, seed weight per plot and seed yield per hectare.
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