The study aims to determine the effect of the application of solid organic fertilizers from bokashi goat manure (BGM) and liquid organic fertilizer (LOF) of cow urine to improve the growth and yield of ’lembah palu’ shallot varieties. The study was conducted on farmers’ land in Sidera Village Subdistrict Sigibiromaru Sigi Regency in Central Sulawesi. Research using Random Complete Block Design (RCBD) in factorials design (two-factor) with three replications. The first factor is the application of BGM, consists of 2 levels, namely: (1) without BGM and (2) BGM 30 t ha-1; The second factor is the concentration of LOF consists of 3 levels: (1) without the LOF, (2) LOF 16 L ha-1 and (3) LOF 32 L ha-1. The results of the research showed that BGM 30 t.ha-1, followed by application of 16 L.ha-1 LOF produce shallot crop is higher, and the number of tuber per hill and the fresh weight of tuber per hectare of shallot ’lembah palu’ variety is higher compared with a combination of other treatments. BGM 30 t.ha-1 produced more leaf number and fresh weight of tubers per plant higher and significantly different without BGM. Application LOF 32 L.ha-1 produce of shallot leaves more than without LOF and LOF 16 L.ha-1.
In analyzing a credit, sometimes an analysis performs an inaccurate analysis so that some customers are less able to make credit installment payments, resulting in less smooth or even bad loans. From these problems, researchers conducted a credit analysis using computerized techniques using RapidMiner software in data processing. The right data processing technique to use is classification. One method of data mining classification is the Naive Bayes algorithm. Researchers use weighting by implementing Particle Swarm Optimization (PSO) for attribute selection to improve the accuracy of Naive Bayes. After testing with two models namely Naive Bayes algorithm and Naive Bayes based on PSO, the results obtained are for the Naive Bayes algorithm with an accuracy value of 93.24%, while the Naive Bayes algorithm based on particle swarm optimization models produces a higher accuracy value of 98.16% compared to the Naive Bayes algorithm model. From these results, the difference between the two models is 4.92%. Then for the results of using the ROC curve for both models, for the Naive Bayes algorithm, the AUC value is 0.939 with an Excellent Classification diagnostic level, and for the Naive Bayes algorithm model based on particle swarm optimization, the AUC value is 0.977 with an Excellent Classification diagnostic level. From the evaluation of the ROC curve, it is seen that the Naive Bayes model based on particle swarm optimization is higher when compared to the Naive Bayes algorithm. From the results of the AUC, the difference between the two models is 0.038.
Rice is an essential and strategic commodity because of its role as the staple food of Indonesian society. The purpose of this study is to facilitate farmers in planning system of planting patterns based on water balance model. It is useful to reduce the risk of crop failure in the centre for food crops. Therefore, it is necessary to make a good plan in regulating rice cropping system pattern based on water balance model. The method used is Thornhtwaite and Mather. The data needed to conduct this research are rainfall, temperature data, evapotranspiration data and soil sample data of each sub-district in Parigi Moutong. The results showed that there were some sub-districts not suitable to be planted rice, i.e. Palasa, Siniu, Ampibabo, Suli and Torue. Therefore, other plant alternatives are needed to support food security of Parigi Moutong. The appropriate sub-districts as centres for paddy, i.e. Moutong, Sausu, Toribuli Tinombo Selatan, Dolago and Baliara. The results of this research make researchers easier to map the area after it is known which areas are suitable to be a centre for food crops especially paddy. Finally, it needs great support from the government to create strong food security in Parigi Moutong.
A water pH control device in catfish cultivation has been successfully made and tested. The working principle of this device has been designed to maintain the pH of catfish pond water in the range of 6,5-8,5. It was found that if the pH value was outside this range, the sensor ordered the water pump to automatically and in the realtime drain the pond water through a filter to return the pH to the specified value. Thus, the application of this sensor has succeeded in reducing catfish deaths due to stress.
MQ137 sensor has been successfully used to control ammonia concentration automatically and in realtime in a catfish pond water. The ammonia testing was carried out by bubbling pond water to vaporize ammonia gas to sense by the sensor. The result showed that the could detect the ammonia concentration below 1 ppm and it instructed the water pump to flow the water through a water filter to reduce the ammonia concentration. The application of pond water quality control has resulted in a reduction in the number of catfish deaths due to poisoning.
Foundation is a very important structural element in a building. The bearing capacity of the soil is the support for the foundation, where a foundation is defined as a most basic part of the construction of a building that transmits the load originating from the weight of the building itself and the load acting on the building to the surrounding ground. The purpose of this research is to determine the bearing capacity of the foundation and the settlement of a single pile that occurs and to determine of the size of ship’s collision force against the building. The foundation used in the construction of the Sultan Suriansyah Mosque Port is a 45 cm diameter pile foundation. The calculation of bearing capacity of a single pile was carried out using the Mayerhoff method based on the N-SPT results of 399.802 tons. The settlement of a single pile foundation using the Semi Empirical Method is 0.036 m with an allowable drop of 0.045 m. The collision force of the ship against the Port is 0.0032 tons.
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