Modification Model of Soil Fertility Evaluation FAO-UNESCO on the Slopes of Merapi Volcano, Indonesia

One of the mountains known as active volcanoes in the world was Merapi volcano. From the very active impact of Merapi activity, there was a continuous addition of volcanic material associated with soil fertility, which can be evaluated using the Soil Fertility Evaluation (SFE) system. This study aims to obtain a more adaptive SFE system to the southern slopes of Merapi volcano by modifying the FAO- UNESCO version of SFE system that still uses linear equations. In this research used system of quadratic equation, use of natural logarithm (ln), and modification of new parameter. From the evaluation of soil fertility is then connected with the production component of paddy rice (dry grains crop). There were several indicators that used to see the quality of the model or test the goodness of fit of the model we make, for example from its R2. In this study the quality of a model was seen from: Akaike Info Criterion (AIC) and Schwarz Criterion (SC), and the data was done by using EViews 9. The results showed the parameters that influence big in the model can be seen from the correlation and influence the parameters in single. Quadratic equations can improve the quality of a model over a linear equation. The standard SFE model which is modified by using the nat

Evaluation of Oil and Gas Economy using Economics Profit Indicators and Prototype Macro VBA Excel

The oil and gas sector is an important factor in sustainable development, so it is considered necessary to make serious changes in conducting economic analysis on the oil and gas business. Oil and gas industry activities consist of upstream activities, and downstream activities. Activities in these upstream and downstream operations have high risk, high costs and high technology, so the company continuously tries to reduce the importance of the adverse impact of these risks on the work environment and people. Thus, evaluating the factors that affect sustainable production in this sector becomes a necessity. In this research will be evaluated the economy of the oil and gas field using methods of economic indicators, among others; NPV, POT, ROR, where these factors are estimated in order to be able to estimate the prospects of the oil and gas field so that the decision that the field development project can be implemented or cannot be taken immediately. Implementation of oil and gas field economic evaluation in this study using Macro VBA Excel. From several methods of economic analysis obtained that the results of this study show high precision compared to other methods, in addition to the way of evaluation using the above economic indicators is very popular.

Role of Plant Volatile to Diaphorina citri on Feeding and Oviposition Behaviour

Citrus production in Indonesia and in the world is suffered from disease of citrus vein phloem degeneration (CVPD. It was vectored by psylids (Diaphorina citri). The psylids used citrus plant volatiles as cues for finding their host plants for feeding and laying eggs. Extract of guava leaves was a prospective control material for declaining population of psyllid. Investigation by research was conducted to determine the effect of CVPD symptomatic citrus plants in attracting psylids gravid female for staying and laying eggs, and also to determine the repellency ability of guava shoots to adult psyllids. Citrus buds of healthy plants and CVPD symptomatic plants were exposed to ten gravid female and the number of psylids stay and the number of eggs per bud was recorded. Y-tube olfactometer was used to determine repellent effect of upper shoot, middle shoot, and bottom shoot of guava leave to ten adult psyllids. The result shows that CVPD symptomatic plants was more attractive for laying eggs, eventhough the number of eggs was higher on healthy plants. Repellence effect to psyllids adult was identified in guava leave extracts. The increase of leaf age would decrease the effect. It was suggested that repellent properties was highest youngest leaf or upper shoots of guava.

Arjuna Coffee Organoleptic Test

The organoleptic test of coffee grown in the Toyomarto area aims to determine consumer preferences for coffee grown on the slopes of Mount Arjuna. The two types of coffee that are most in demand in the global market are Arabica and Robusta. When viewed from the level of consumption, around 70% of the world's population are consumers of Arabica coffee, which has a mild and aromatic taste. Meanwhile, the remaining 30% of the world's population are consumers of Robusta coffee, which has a bitter taste and 50% higher caffeine content than Arabica coffee. There is another type that is grown in Toyomarto, namely the Liberica type. Toyomarto Village, which is located in Singosari District, Malang Regency, is located at an altitude of 700-1200 masl. has a fertile soil that makes a specific and unique taste in the coffee that grows around it. Organoleptic testing has been carried out at 2 different locations. The panelists really liked the sour taste of Arabica coffee and the bitter taste of Robusta coffee. Meanwhile, Liberica coffee was less liked by the panelists.

Study of Investment in the Organic Fertilizer Industry to Improve Community Economists

Based on the results of observations of organic waste in the village of Jogotirto Berbah, Sleman, it is known that the amount of household organic waste and cow dung from 2015 to 2020 continues to increase by ± 12% per year. In Jogotirto, the average person produces 0.36 kg of organic waste per day and 15 kg of dry cow dung per day. In 2020 the amount of household organic waste is 8,477 kg per day, while for cow dung is 16,787.75 kg per day. Analysis of the study of the establishment of the organic fertilizer industry is carried out by processing household organic waste and solid cow dung by fermentation. This fermentation process is carried out anaerobically for 21 days. The organic fertilizer processing process is carried out by mixing cow dung and household waste with varying ratios. From the results of research on making organic fertilizer, it is known that a mixture of cow dung and household waste with a mixture ratio of 2: 1 contains nitrogen compounds as much as 1.04%, organic C 17.6%, phosphorus 1.7% and potassium as much as 7.02%. Based on the analysis of investment feasibility using the Net Present Value method, the fertilizer industry can generate a profit of 200.18% for 5 years. Analysts using the ROR method can provide a profit of 31.7% per year and the analysis using the pay back method is known that the period of capital will return after 3.85 years. Based on the sensitivity test of the fertilizer industry, it is still said to be safe for changes in influencing parameters, namely the sensitivity rate of 20%. This study of the establishment of the organic fertilizer industry aims to provide advice to the government in the context of improving the community's economy.

Mineral Preparation Using Rod Mill for Mineral Galena Characterization

Galena mineral preparation was carried out for mineral characterization. The mineral characterization carried out included XRD (X-Ray Diffraction), XRF (X-Ray Fluorescence), SEM-EDS (Scanning Electron Microscope-Energy Dispersive X-Ray). The preparation of galena minerals begins with the process of reducing the grain size including crushing and grinding. The results of crushing and grinding are then separated based on grain size using a sieve or siever to get a grain size of -200 mesh. The grinding process using a rod mill needs to be timed, so that the results are not too fine which is causing the recovery in the mineral concentration process to be low.

Identification of Buried "Archeological" Objects in the Area around Kedulan Temple using Geomagnetic Methods

Temple is a religion place for ancient culture, Yogyakarta have many incridible temples one of the biggest is Prambanan temple. 2 Km to the north west direction from Perambanan temple located the Kedulans temple who still on renovation projects. Kedulan Temple is located in Tirtomartani Village, Kalasan District, Sleman, Yogyakarta Special Region, at coordinates 7° 44' 28" South Latitude and 110° 28' 5" East Longitude, with an altitude of 168, 45 meters above sea level. Kedulan Temple was found in a collapsed state and buried volcanic material from Mount Merapi. Based on the results of a stratigraphic study conducted by Pramumijoyo, et al., (2005) this temple is covered by 8 meters thick lava which is composed of 14 layers of sediment. To obtain information on the existence of archaeological objects that are still buried around the temple in this study, geophysical measurements were carried out using the geomagnetic method which aims to determine the potential for buried archaeological objects in this case assumed to be igneous rocks that have contrasting susceptibility. Based on the geomagnetic signal analytic map obtained, there is a magnetic anomaly which is suspected to be a hidden temple object which is bordered by a black line which is about 50 meters to the east of Kedulan Temple. This assumption is based on a high magnetic anomaly value >480 nT which is thought to originate from the temple rock object in the form of andesite rock.

The Implementation Of Mfcc Feature Extraction And Selection of Cepstral Coefficient for Qur’an Recitation in TPA (Qur’an Learning Center) Nurul Huda Plus Purbayan

There are two approaches to Qur’an recitation, namely talaqqi and qira'ati. Both approaches use the science of recitation containing knowledge of the rules and procedures for reading the Qur'an properly. Talaqqi requires the teacher and students to sit facing each other while qira'ati is the recitation of the Qur'an with rhythms and tones. Many studies have developed an automatic speech recognition system for Qur’an recitation to help the learning process. Feature extraction model using Mel Frequency Cepstral Coefficient (MFCC) and Linear Predictive Code (LPC). The MFCC method has an accuracy of 50% to 60% while the accuracy of Linear Predictive Code (LPC) is only 45% to 50%, so the non-linear MFCC method has higher accuracy than the linear approach method. The cepstral coefficient feature that is used starts from 0 to 23 or 24 cepstral coefficients. Meanwhile, the frame taken consists of 0 to 10 frames or eleven frames. Voting for 300 recorded voice samples was tested against 200 voice recordings, both male and female voices. The frequency used was 44.100 kHz stereo 16 bit. This study aims to obtain good accuracy by selecting the right feature on the cepstral coefficient using MFCC feature extraction and matching accuracy through the selection of the cepstral coefficient feature with Dominant Weight Normalization (NBD) at TPA Nurul Huda Plus Purbayan. Accuracy results showed that the MFCC method with the selection of the 23rd cepstral coefficient has a higher accuracy rate of 90.2% compared to the others. It can be concluded that the selection of the right features on the 23rd cepstral coefficient affects the accuracy of the voice of Qur’an recitation.

Groundwater Vulnerability towards Pollution in Area Around the Piyungan Landfill, Bantul Regency, D. I. Yogyakarta

The Piyungan landfill is located in Bantul Regency, Daerah Istimewa Yogyakarta, still uses an open dumping system. The open dumping system produced more quantity of leachate from other systems. Leachate spreads to the ground and seeps into the ground to the groundwater surface. These conditions have an impact on the environment. This study aims to assess the groundwater vulnerability to leachate contamination in the area around the Piyungan landfill. The research method used is survey and mapping, and data analysis is carried out using the Le Grand method. Geographic Information System (GIS) is also used to visualize data into maps. The Le Grand method considers as many as 5 physical environmental parameters, including the groundwater depth, absorption above ground, aquifer permeability, groundwater slope, and horizontal distance of wells with pollutant sources. Next, scoring is carried out for each of these parameters, and then a groundwater vulnerability map is made using the overlay method. The results of the study were three classes of the potential vulnerability of groundwater pollutions. That were large pollution potential (may or may be polluted), medium pollution potential (maybe polluted but slightly), and small pollution potential (very difficult to pollute).

Design of Petroleum Physical Properties Prediction Application

Based on the results of previous studies regarding the modeling of the physical properties of petroleum, a mathematical model has been built to calculate the prediction of the physical properties of petroleum. The prediction is based on viscosity, interfacial tension, and density data from the EOR laboratory in UPN Veteran Yogyakarta. The model still cannot be used independently without the Python environment, so to be used easily by more users, the model must be built into an independent application that can be installed on the user's device. In this research, the application design for the physical properties of petroleum prediction application will be carried out. The application is built using the Multivariate Polynomial Regression method according to the model to predict the physical properties of petroleum, and uses Naïve Bayes to classify the petroleum, and will be the changing result of the physical properties of petroleum modeling that has been made in a previous study. The shift from model to the application requires several adjustments, including user interface, system, and database adjustments which are implemented as the designs of application. . The design is done before the application is built to suit user needs as the result of the research.