Crop Production Analysis using Machine Learning

As we all know, in the agricultural industry, farmers and agribusinesses must make countless decisions every day, and the different elements influencing them are complex. The proper yield calculation for the different crops involved in the planning is a critical issue for agricultural planning. Data mining techniques are a critical component of achieving practical and successful solutions to this issue. Agriculture has always been a natural fit for big data. Environmental conditions, soil variability, input amounts, combinations, and commodity pricing have all made it more important for farmers to use data and seek assistance when making vital farming decisions. This research focuses on analyzing agricultural data and determining the best parameters to maximize crop output using machine learning techniques such as Random Forest, Decision Tree and Linear Regression, which can achieve high accuracy. Mining current crop, soil, and climatic data, as well as evaluating new, non-experimental data, improves production and makes agriculture more robust to climate change.

The Extraction THE EXTRACTION OF SANDALWOOD OIL USING THE MICROWAVE HYDRODISTILLATION METHOD WITH VARIATION OF MASS AND MATERIAL TREATMENT

The extraction of sandalwood oil using the microwave hydrodistillation method can be another alternative in the process of extracting sandalwood to obtain and improve the quality of the sandalwood oil produced. This research aims to determine the appropriate formula from the mass variation of the material and the treatment of sandalwood powder in obtaining high yield and good oil quality. The method of making sandalwood oil used is the Microwave Hydrodistillation method. From the results of this reseacrh, the best yield calculation results in the variation of the mass of 200 grams of material with dry wind treatment. Based on the density test, the result is 0.98 and the acid number is 0.6732.

Synthesis of Short-Cut DCF Appraisal and Spreadsheet Iteration of Freehold Rental Growth Rates Across Specific Valuation Epochs

While the use of simple deterministic models to calculate rental value growth (RVGrowth) rate of reversionary freeholds across epochs prior to upward rent review appears illusive, literature evidence of the synthesis between short-cut DCF valuation and Solver tools in a spreadsheet does not constitute an exhaustive list of solutions. This study examined alternative spreadsheet and iteration tools that can determine RVGrowth rate of freehold investment properties across rent review epochs. With recourse to a hypothetical case of a freehold investment property, this experimental study identified the mathematical composition of RVGrowth in an explicit DCF framework, performed short-cut DCF Valuation and equivalent yield calculation at specific epochs prior to and including the full reversion; as well as using Goal Seek to calculate RVGrowth across all epochs prior to- and including the full reversion. Excel® Solver and Goal Seek, as well as the graphing/root-solving tool in Kyplot® were found to feasibly produce identical results for RVGrowth rate. This is among the limited studies that identified and researched the veracity of alternative tools for RVGrowth rate iteration. The value of this study is the awareness of alternative analytical tools avail freehold investors who desire knowledge of RVGrowth rate when making purchase-, hold-, and sales decisions.

PENENTUAN AKTIVITAS TABIR SURYA DAN ANTIOKSIDAN EKSTRAK ETANOL BENALU (Henslowia frutescens) INANG JERUK BALI SECARA IN VITRO

Henslowia frutescens is a semi-parasitic plant, although considered harmful, it has medicinal and cosmetic potential. This plant has secondary metabolite compounds, namely phenolic compounds, flavonoids, saponins, tannins, and steroids which have high antioxidant activity. The purpose of this study was to determine the sunscreen activity of the ethanol extract of Henslowia frutescens based on the in vitro SPF (Sun Protecting Factor) value and to determine its antioxidant activity. The research stages included sampling, sampling, maceration extraction with 95% ethanol, yield calculation, phytochemical screening, sunscreen activity test based on SPF value, and antioxidant activity test. Data analysis was carried out descriptively based on the measurement results processed according to the calculation formula. The results showed that the sunscreen activity of the ethanol extract of Henslowia frutescens based on the in vitro SPF value was 14.57 - 25.20 with moderate protection category. The antioxidant activity of the ethanol extract of Henslowia frutescens showed a very strong category with an IC value of 22.82 ± 1.33.

PERHITUNGAN DEBIT BANJIR SUNGAI CIPINANG DAN SUNGAI SUNTER PADA BERBAGAI PERIODE ULANG

ABSTRACTIn the area around the Cipinang and Sunter Rivers, floods often occured due to runoff from overflowing rivers. The data and information used in this study are secondary data from related agencies, namely the Balai Besar Wilayah Sungai Ciliwung-Cisadane and BMKG. Hydrological and hydraulic analysis from existing data yield calculation results the maximum flood discharge for the Sunter River for a 2-year return period is 114.035 m³ / s and for a 100-year return period of 407.589 m3 / s and for the Cipinang River, the discharge for the 2-year return period is 113.214 m3 / s while for the 100 yearly repetition of 405,083 m3 / sec.Keywords : Cipinang River, Sunter River, Flood Flow.ABSTRAKPada daerah di sekitar Sungai Cipinang dan Sungai Sunter seringkali terjadi banjir akibat limpasan air dari sungai yang meluap. Data dan informasi yang digunakan dalam penelitian ini merupakan data sekunder yang berasal dari instansi terkait yaitu Balai Besar Wilayah Sungai Ciliwung-Cisadane dan BMKG. Metode pengolahan data menggunakan analisa hidrologi dan analisa hidrolika. Dari hasil perhitungan, didapatkan debit banjir maksimum untuk Sungai Sunter periode ulang 2 tahunan sebesar 114,035 m³/det dan untuk periode ulang 100 tahunan sebesar 407,589 m3/det dan untuk Sungai Cipinang didapatkan debit pada periode ulang 2 tahunan sebesar 113,214 m3/det sedangkan untuk periode ulang 100 tahunan sebesar 405,083 m3/det.Kata kunci : Sungai Cipinang, Sungai Sunter, Debit Banjir.