Soil Quality Assessment in Relation to Food Crop Productivity to Support Agribusiness-Based of Dry Land Management by Scoring of Soil Quality

To support Indonesian’s food self-sufficiency program, more quantitative and accurate data are required on the character of soil data needed, which can be more easily understood, practical and suitable for crop selection as well as for the right fertilizer recommendations to support the agribusiness development, implementation and operation. The purpose of this research is to develop and assess soil quality in relation to the productivity of major food crops by using Soil Quality Score Plus (SQS Plus) to support agribusiness-based management of dry lands. The use of SQS for assessing soil quality in principle determines the weighted average score obtained from the score of each selected key parameter multiplied by its weight. The SQS for the 36 locations observed varies from 2.36 (low) to 4.12 (high). SQS Plus adds letter(s) after a score to indicate the limiting factor(s) of soil ecosystem. The most limiting factor is low carbon organic content (72.2 % from the 36 locations observed), followed by low P availability (58.3%), and low total organic N (41.7%). Data of correlation between SQS and crop productivity is not good as expected. Crop growth and crop production are not only determined by soil quality and its limiting factors. Keywords: Crop productivity, dry land management, soil limiting factors, soil quality assessment, Soil Quality Score

Analysis of AVO and Seismic Inversion for Reservoir Characterization (Case Study: EP Field, South Sumatera Basin)

A research about reservoir characterization with analysis of AVO (Amplitude Variation with Offset) and seismic inversion, to extract the petrophysics properties on the EP field South Sumatra Basin. This research was conducted to identify rock lithology and its spread, to see the sensitive parameters of physical properties of rocks. This research uses the 3D seismic data PSTM (Pre Stack Time Migration) as input control with data from the EP-036 well containing sonic log, density, gamma rays, neutron and resistivity log. From the results of data analysis on the well log chart EP-036, reservoir target zones are at a depth of 714 to 722 m (TVD) or time domain 768 to 780 ms. The results of the analysis AVO is able to detect the presence of reservoir gas sand, based on the classification of Rutherford and Williams (1989) the gas sand layer into AVO class III that indicates low impedance contrast sands. To analyze the results of well log data in the cross plot EP-036 indicates lithology is a hydrocarbon. It is also reinforced with cross plot analysis and seismic inversion results in the form of the parameter value ??, Vp/Vs and Acoustic impedance with low porosity averaging 22 to 35%, indicating that the zone is a zone reservoir potential gas sand. Keywords: Inversion, AVO, LMR, Reservoir Characterization.

Web-Gis Application Of Agricultural And Food Crop Management

This paper discusses web-based applications in the agricultural and food crops sectors in North Aceh district, Aceh Province, Indonesia. The agricultural and food crops sector is a mainstay sector of the people of North Aceh and local governments to move the economy and income of the local community. There are several superior agricultural products and food crops including rice, corn, sweet potatoes, green beans, long beans, cassava and potatoes. The North Aceh Government does not have sufficient applications to manage agricultural sector products. The research objective is to realize the independence of local food in order to support the national food security program. The mechanism used to design and make agricultural and food crop web applications starts from application design, application construction/coding, application testing and implementation system. After testing the web application by doing black box testing-white box and GUI testing to find out the side of the application display, application behavior and application durability. The results showed the application accuracy, stability and durability of the application reached 97.4%. The application web-based of agriculture and food crop management has been running as it should for mapping/GIS of superior agricultural commodities and GIS potential locations of agriculture and food crops in North Aceh. Keywords: Applicaton, GUI, Black Box Testing, GIS

Optimization of Microgrid Battery Capacity using PSO with Considering Islanding Operation

Electrical is used for various activities in all sectors. Rapid increase of electricity demand recently, makes it necessary to have an even more efficient method for generating electricity. Renewable energy and the microgrid provides an integrated and alternative solution for electricity generation. In microgrid systems, energy storage devices are one of important aspects. Batteries are one kind of the energy storage technologies widely used in power system and hence, their suitable capacity must be determined in order to develop an effective system installation. In this research, sizing optimization of battery capacity is modeled as a minimization of microgrid battery capacity using the Particle Swarm Optimization/PSO algorithm with considering islanding operation of the system for effective battery installation. Results show that optimal battery capacity can be obtained and the developed computational model gives satisfactory results for the system under study. Keywords: Battery, microgrid, energy storage system, PSO algorithm

A cans waste classification system based on RGB images using different distances of k-means clustering

This study aims to build a classify the cans waste based on the pixel of captured Red, Green, and Blue (RGB) image by implement different metric 3 distances of k-means clustering; Manhattan, Euclidean, and Minkowski metric distance. The image capturing is designed using combinations of two the conveyor belt speeds of 0.181 m/sec and 0.086 m/sec, two the lightings of halogen and incandescent lamps, and four lighting angles of 300, 450, 600, and 900. The classification results note that the implementation of Manhattan distance on the k-means clustering method for classifying the cans waste into three can types has the highest level of accuracy in the majority of data. The highest accuracy level of classification is obtained from data of captured image on the conveyor belt speeds of 0.181 m/sec, the lightings of halogen lamp, and the lighting angles of 450 by implementing the Euclidean distance, while the lowest accuracy level of classification is obtained from data of captured image on the lighting angles of 300 with the same speeds and the lamp by implementing the Manhattan distance. The highest average accuracy is obtained by implementing the Euclidean distance, that derived from the average accuracy at lighting angle of 450.

Optimizing Groundwater Aquifers Potential in The Development of Irrigation Wells for Agriculture Using Geo-Electrical Method

The identification of shallow groundwater aquifers is demanded to sustain the balance of utilization in agriculture and anticipate frictions that can occur due to the overlapping usage of groundwater resources. This study is aimed to identify the potential of groundwater resources based on the thickness and depth of the groundwater aquifer. Geoelectric resistivity methods have done with vertical electrical sounding (VES) and horizontal profiling techniques (2D mapping). The VES data acquisition was carried out with a Schlumberger array while 2D mapping by alpha Wenner array. Inversion results of vertical electrical sounding (VES) show that groundwater resistivity values in sedimentary rocks ranged from 1 to 100 ?m and in igneous rocks between 0.5 - 150 ?m. The results of 2D Resistivity Mapping also show that shallow aquifer depth ranged from 1 to 5 m with a thickness ranged from 15 m to more than 70 m. Meanwhile, bedrock depth ranged from 20 to 150 m with a pattern deeper to the west. Furthermore, the potential of groundwater aquifers in the development of irrigation wells for agriculture should be carried out in the western part of the study area. Keywords: Groundwater, Shallow Aquifer, Rock Resistivity, Irrigation Well, Geo-Electrical Sounding.

Comparison of Types and Size of Biomass on Pirolysis Combustion Toward The Results of Bio-Charcoal and Liquid Smoke

Biomass is a renewable carbon source and can be processed into gas fuels, liquid and solid fuels. Biomass has several types with different grain sizes. Biomass can be converted to other forms of energy by combustion pyrolysis. Pyrolysis is the chemical decomposition of organic matter through a heating process at high temperatures with little or no oxygen. The results of the pyrolysis process in the form of bio-charcoal and liquid smoke. The purpose of this research was to determine the comparison of types and sizes of biomass in pyrolysis combustion with characteristics of bio-charcoal and liquid smoke. This research method uses rubber shell biomass waste, green coconut husk and rice husk. Biomass is burned by slow pyrolysis in the reactor with biomass fuel. Combustion in reactors and pitot tubes containing biomass. Measured temperature, time, amount of biomass, bio-charcoal and liquid smoke and the heating value of bio-charcoal. The research results obtained the heating value of rubber shell bio-charcoal at 6661.55 cal / gr, bio-charcoal yield of 2.3 kg, liquid smoke yield of 0.242 kg, green coconut husk biomass heating value amounted to 5388.56 cal/gr, the yield of 1.8 kg of bio-charcoal, the result of liquid smoke of 0.308 kg. and rice husk biomass obtained the heating value of 3626.48 cal/gr with a bio-charcoal yield of 1.3 kg resulting from liquid smoke of 0.284 kg. Keywords: Combustion, Pyrolysis, Liquid Smoke, Charcoal, Biomass

Green Transhipment Model Considering Carbon Emission Cost Using Mixed Integer Linear Programming (Case Study: Beef Distribution in Bogor, Indonesia)

The operational research paper in the transportation model nowadays is heading to the environmental issue. One of the famous operational research models is transshipment. Transshipment is an expanded model of transportation, whether each distribution center between the start to the destination point. In this research, the transshipment model is integrated into an environmental function, the challenge is to find the right shipment of each route from the start, distribution, and destination point considering the transportation cost and carbon emission. This research proposed a transshipment model with minimizing transportation and carbon emission cost using mixed-integer linear programming for model formulation. The solution searching used branch and bound method. This research analyzed the environmental objective function and constrain effect in the transshipment model. The model is tested in a beef distribution case study in Bogor, Indonesia that has eight source points, three distribution centers, and six destination points. The model is experimented by carbon emission limitation scenarios. The optimum result in source allocation, distribution and destination are different between the two scenarios. The carbon emission limitation affects carbon emission production and total cost. Keywords: Branch and Bound, Environmental Cost, Green Transhipment, Mixed Integer Linear Programming preferably 2-scenarios are mentioned

Value Chain Analysis of Cassava (Manihot Esculeta) in Toba Samosir Regency, North Sumatera, Indonesia

The purpose of this study is to map out the value chain of cassava (Manihot esculeta) and to measure the extent to which the cassava commodity in Toba Samosir Regency, North Sumatera, Indonesia, could affect the economics of the relevant stakeholders. This study employed the value chain mapping analysis method to map out the existing supply chain models. Data and information have been collected using semi-structured interviews to selected sample that represent the stakeholders’ population along the cassava supply chain in Toba Samosir Regency. The stakeholders have been identified using snowball technique. SWOT analysis was employed to deploy policy strategy in improving the cassava benefit for the stakeholders. From the study, we obtain three models of supply chain of cassava, namely: (i) direct sale of cassava root to consumer model, (ii) cassava-based food model, and (iii) tapioca starch model. The margins of each node for each supply chain were estimated. The value chain map reveals that the value engineering of cassava commodities is not optimal, in which the final products produced by all models of supply chain are far below the potential possible value. We finally recommended some value-added improvement strategy; for example, diversifying the product of cassava derivative that is more valuable that is higher-grade tapioca flour and modification of cassava flour. Keywords: Value Chain Analysis, Cassava, North Sumatera.

Addressing Semantic Interoperability, Privacy and Security Concerns in Electronic Health Records

The use of Electronic Health Records (EHR) in healthcare has the potential of reducing medical errors, minimizing healthcare cost and significantly improving the healthcare service quality. However, there is a barrier in healthcare data and information exchange between various healthcare systems due to the lack of interoperability. Also, with the implementation of EHR system, there are security and privacy concerns in the storage and transferring data entities. The healthcare interoperability problem remains an issue of further research and this paper proposes a semantic interoperability framework for solving this problem by allowing healthcare stakeholders and organizations (doctors, clinics, hospitals)using various healthcare standards to exchange data and its semantics, which can be understood by both machines and humans. Moreover, the proposed framework takes into consideration the security aspects in the semantic interoperability framework by utilizing data encryption and other technologies to secure the communication for the EHR information while ensuring real time data availability. Keywords:. Semantic interoperability; Interoperability standards; Electronic Health records(EHR); Artifical Intelligence Techniques. Natural Language Processing (NLP), Word2Vec, skip gram, CBOW