Optimization of Emprit Ginger Oil Yield through Operating Temperature with Microwave Ultrasonic Steam Diffusion Method

<h1><em>Essential oil of ginger (zingiberene oil (C₁₅H₂₄)) is one of the diversified products that have high selling value. Most of the essential ginger products available in the market haven’t allow the standard export products, based on the Essential Oil Association of USA (EOA) standards. The low quality of ginger essential oil products is due to its production process with conventional distillation. This method is most often used because it is easy to operate and produce a good enough product but takes a long time. Another extract method developed is Microwave Distillation and Simultaneous Solid-Phase Microexctraction (MDSS- PM). In this method the time required is faster but the resulting product is not as good as Hydrodistillation product and requires high energy. In this research, ginger extraction process using Microwave Distillation method is modified by ultrasonic addition technique (MUSDf). The variables used in this research are Steam Diffusion (SDF) method, Microwave Exctraction (ME), Microwave Steam Diffusion (MSDf), Microwave Ultrasonic Steam Diffusion (MUSDf) with 30, 50,70, 90 and 110 minutes extension time and extraction temperature variations of 90, 95, 100 and 1050C. From the result of the research, it is found that the best method to produce ginger oil extract is by using MUSDf method with yield of 0.952%, zingiberene level is 6.38%, and the cost per gram of oil is Rp 17,964.</em></h1>

CHARACTERIZATION OF 3D-PRINTING FILAMENT WITH EXTRUDER MELTING TEMPERATURE VARIATION FOR BONE IMPLANT FROM KUPANG SHELL

<p><em>The number of bone damage in Indonesia continues to increase. Bone implant is one of the medical treatment methods performed on bone damage. Organic and non-organic materials can be used as bone implants. Non-organic materials are stronger, but not biocompatible, while organic materials are biocompatible, but brittle. The addition of polycaprolactone polymer (PCL) can increase the mechanical strength of 3D printing bone implant filaments. Extruder melting temperature is one of the factors that affect the quality of PCL-HAp filaments for bone implants. Studies related to temperature variations in PCL-HAp materials have not been widely studied. Therefore, it is necessary to characterize 3D printing filaments with variations in the melting temperature of the extruder as bone implants from mussel shells with temperature variables of 65^oC, 75^oC, and 85^oC. From this study, the optimum point was found at the melting extruder temperature of 75^oC with the results of a diameter of 1.810 and mechanical strength which showed an increase in tensile strength and Young's modulus of PCL-HAp composite in all variables compared to pure PCL. The SEM test showed a rough surface on the filaments that could increase the proliferation and adhesion of good cells for the growth of bone tissue.</em></p>

THE EFFECT OF CR AND DAR ON ROA ON COAL MINING SUB SECTOR COMPANIES LISTED ON BEI

<p>This study aims to determine and analyze how much influence the Return Current Ratio (X1) and Debt to Total Assets Ratio (X2) both simultaneously and partially have on Return On Assets. This research is a quantitative study, using ratio analysis. The analysis method uses multiple linear regression. The results showed that the Current Ratio (X1) and Debt to Total Assets Ratio (X2) simultaneously did not have a significant effect on the Return on Assets of the Coal Mining sub-sector companies listed on the Indonesia Stock Exchange of 0.057. Current Ratio (X1) partially has a significant effect on Return On Assets of 2.369. Debt to Total Assets Ratio (X2) partially has a significant effect on Return On Assets of 2.347.</p><p> </p><p><strong><em>Keywords:</em></strong> CR, DAR, dan ROA<strong></strong></p>

Defining Ship Principal Dimensions Using Comparison Method

<p align="center">Abstract</p><p>In the process of finding the principal dimension of the ship there are various methods that can be used. In this study, the Comparison method will be used to obtain the main size of the ship and the main dimensions of the ship are obtained, namely, length (L) = 20,152 meters, beam (B) = 5.5 meters, depth (H) = 2,939 meters, draft (T) = 1.5129 meters, service speed (Vs) = 20 knots. The ship's resistance is 152.6 kN at service speed (Vs) = 20 knots. And can be overcome with a power of 2426.31 HP. The power taken to meet these needs is 2500 HP supplied by 2 outboard engines with a power of 1300 HP each.</p><p><strong>Keywords</strong> : Comparison Method.</p>

Unit Optimalization Using the QM App for Windows on Perumahan Bukit Aradiar Permai Balikpapan

<p><em>Abstract</em></p><p>Housing demand continues to increase along with the increase in economic activity and the number of residents in the city of Balikpapan according to the 2017 Central Statistics Agency as many as 636,012 people to 645,727 people. The increase in housing demand is driven by the community's perspective that home ownership must be met while housing availability is limited. Based on the Balikpapan City Government in the 2012 Regional Spatial Plan, the plan to develop a spatial pattern of cultivation areas is more directed towards the north and east parts of the city so that population growth and development are not concentrated in the city center. This is a challenge for housing providers to meet the needs of long-lived communities and migrant communities by building housing located in the East of Balikpapan City as a place to live. The increase in land prices is so high in Balikpapan due to the movement of the capital from Jakarta to East Kalimantan, making housing prices also higher. The limited land owned by the housing developer must be utilized as well as possible for the construction of housing units, construction of facilities, and the existence of green space in the housing according to government regulations related to Balikpapan City RTRW. Land owned by housing developers that vary in shape is extremely limited with the type of house being built also varies and the price of the unit offered is different for each unit. For this reason, the developer must be able to optimize the production of the type of house that will be built based on government regulations and the National Spatial Plan, optimizing the land to get the optimum profit. This optimization uses the assistive application of QM for Windows and obtained 98 units for type 40/120 and type 45/120 for 102 units with optimum profit yielding Rp 104,292,098,201 for the BEP method.</p><p> </p><p><strong><em>Keywords:</em></strong><em> </em><em>Optimization</em><em>;</em><em> QM For Windows</em><em>;</em><em> Unit.</em></p>

THE EFFECT OF DEBT POLICY ON COMPANY VALUE IN THE PULP AND PAPER SUB SECTOR LISTED ON BEI

<p>This study aims to determine and analyze how much influence the Debt Policy (X) partially affects Firm Value (Y). This research is a quantitative study, using ratio analysis. The analysis method uses simple linear regression. The results showed that the Debt Policy (X)) partially did not have a significant effect on Firm Value (Y) in the Pulp and Paper sub-sector that went public on the Indonesia Stock Exchange of 0.449.</p><p> </p><p><strong><em>Keywords:</em></strong> <em>Debt Policy and Company Value</em></p>

Numerical Study of The Airfoil Pitch Angle on The Darrieus-Savonius Combination Turbine

The Darrieus turbine is used as an ocean current converter to generate renewable electrical energy. One way to improve turbine performance is to determine the optimal pitch angle. Therefore, the purpose of this study was to determine the optimal pitch angle of the NACA 0018 airfoil with angle variations of -6°, -2°, 0° and 2°. Numerical method with the help of Ansy Fluent software was carried out for the construction of the turbine. The result of this research is that the angle of 2° produces the largest coefficient of power and torque compared to other angles. This happens because the direction of the lifting force on the forward airfoil is in accordance with the rotation of the turbine.Keywords: Ocean Current, Turbine, Pitch Angle

ANALYSIS OF DETERMINATION OF POSITION BASED ON CONTRIBUTION OF TASK AND WORK ACHIEVEMENT

To find the value of employee achievement requires several aspects such as intelligence, aspects of work attitudes, and behavioral. The initial stage of the process is to find the difference between employee and position profile that has been determined by the company where it is called GAP. The next step is to determine the weight of each gap value in three aspects. We multiply the value of 60% for the value of the main factor and 40% for additional factors then add up the two factors to determine the total value. The three factors are assessed based on the percentage determined by the company, namely 25% Intelligence Aspect, 35% Behavioral Aspect, and 40% Work Attitude Aspect. The final results are ranked, and then top ranking is achieved until the last employees who occupy the position of Project Supervisor are employees with ID number: kka_0001. For employees who are likely to fill the position of Purchasing & Logistics are employees with ID number: kka_0040. For employees who are likely to occupy the Estimator position are employees with ID number: kka_0036. For employees who fill the Project Manager position are employees with ID number: kka_0055.

Support Vector Machine optimization with fractional gradient descent for data classification

Data classification has several problems one of which is a large amount of data that will reduce computing time. SVM is a reliable linear classifier for linear or non-linear data, for large-scale data, there are computational time constraints. The Fractional gradient descent method is an unconstrained optimization algorithm to train classifiers with support vector machines that have convex problems. Compared to the classic integer-order model, a model built with fractional calculus has a significant advantage to accelerate computing time. In this research, it is to conduct investigate the current state of this new optimization method fractional derivatives that can be implemented in the classifier algorithm. The results of the SVM Classifier with fractional gradient descent optimization, it reaches a convergence point of approximately 50 iterations smaller than SVM-SGD. The process of updating or fixing the model is smaller in fractional because the multiplier value is less than 1 or in the form of fractions. The SVM-Fractional SGD algorithm is proven to be an effective method for rainfall forecast decisions.

Company financial performance improvement through financial literacy and intellectual capital perspective

CV. Sarindofood is one of the companies engaged in manufacturing snacks, one of which is a type of Tost and Stick products made from raw materials for industrial corn. CV. Sarindofood uses considerable capital resources, so it needs analysis, especially in the financial sector. This study aims to determine the effect of intellectual capital on corporate financial performance, financial literacy as an understanding of finance. The independent variables used in this study are human capital, structural capital, value-added capital employed, intellectual capital (VAIC). In contrast, the dependent variables include the performance of ROA, ROI, and ROE. The data in this study are the company's financial statement data CV. Sarindofood consists of a balance sheet report and cash flow for five years from 2019 to 2018. The method used in this study uses Multiple Linear Regression, VAIC, and partial t-test, and a simultaneous F-test is used as analysis tools to see each variable's effect. The results of this study indicate that Capital Employee partially has a significant impact on financial performance. Human capital partly has a significant and positive impact on financial performance. Structural capital partially has a significant and positive effect on financial performance. Whereas the value of the results simultaneously shows that the influence of Intellectual Capital on ROA has a significant effect of 60%, Intellectual Capital on RO1 has a significant effect of 69%, and Intellectual Capital on ROE has a significant effect of 55%.