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Erifive Pranatal
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Journal of Applied Sciences, Management and Engineering Technology (JASMET)
Published by Institut Teknologi Adhi Tama Surabaya
ISSN : -     EISSN : 27212165     DOI : https://doi.org/10.31284/j.jasmet.2020.v1i1.704
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Journal of Applied Sciences, Management and Engineering Technology (JASMET) is an international peer-reviewed journal that was launched by LPPM ITATS. It is dedicated to provide a high-level platform in all aspect of science, management and engineering technology Scope of the journal: Engineering, Science and Management
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 97 Documents
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Numerical Study of The Airfoil Pitch Angle on The Darrieus-Savonius Combination Turbine Erifive Pranatal; Renanda Bayu Harsi
Journal of Applied Sciences, Management and Engineering Technology Vol 2, No 1 (2021)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2021.v2i1.2113

Abstract

AbstractThe 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
CHARACTERIZATION OF 3D-PRINTING FILAMENT WITH EXTRUDER MELTING TEMPERATURE VARIATION FOR BONE IMPLANT FROM KUPANG SHELL Ananda Maulidha Kusumastuti; Adik Roni Setiawan; Asalina Putri Agung Shaliha; Deden Eko Wiyono; Achmad Ferdiansyah Pradana Putra
Journal of Applied Sciences, Management and Engineering Technology Vol 2, No 2 (2021)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2021.v2i2.2313

Abstract

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 65oC, 75oC, and 85oC. From this study, the optimum point was found at the melting extruder temperature of 75oC 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.
Support Vector Machine optimization with fractional gradient descent for data classification Dian Puspita Hapsari; Imam Utoyo; Santi Wulan Purnami
Journal of Applied Sciences, Management and Engineering Technology Vol 2, No 1 (2021)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2021.v2i1.1467

Abstract

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.
THE EFFECT OF DEBT POLICY ON COMPANY VALUE IN THE PULP AND PAPER SUB SECTOR LISTED ON BEI alfin akuba
Journal of Applied Sciences, Management and Engineering Technology Vol 2, No 2 (2021)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2021.v2i2.2102

Abstract

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. Keywords: Debt Policy and Company Value
Optimization of Emprit Ginger Oil Yield through Operating Temperature with Microwave Ultrasonic Steam Diffusion Method Gilang Maulana Alif; Irfiani Nurul Mawaddah; Fikaputri Rohmatul; Zel Andesra
Journal of Applied Sciences, Management and Engineering Technology Vol 2, No 2 (2021)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2021.v2i2.2315

Abstract

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.
Company financial performance improvement through financial literacy and intellectual capital perspective Moch. Kalam Mollah; Suhartini Suhartini; Gatot Basuki H M; Fatkhu Nasrudin Khamimi; Bangkit Dwi Wahyu Prabowo
Journal of Applied Sciences, Management and Engineering Technology Vol 2, No 1 (2021)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2021.v2i1.1468

Abstract

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%.
Risk Analysis Using Multi-Attribute Failure Mode Analysis Approach in Mybeb Social Payment Application Bob Maulana Adam; Zeplin Jiwa Husada Tarigan
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 1 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i1.2378

Abstract

MyBeb is a social payment application owned by one of the FinTech companies in the Sidoarjo area, East Java Province. Mybeb itself is an application that provides social media features as well as payments. In running the product, several obstacles and operational risks arise that have not been handled properly, and not a few users have not been properly educated in the use of this application. This study aims to identify risk priorities and corrective actions that must be taken using the MAFMA method. The method is to detect failure points that have great potential to be overcome. Then get the results and benefits of the analysis method that will affect the company using the methods. From the methods, the risk with the highest value was at the risk of the P10 value, which was 0.482. At the same time, the lowest risk is at P1 risk with a risk level value of 0.251. Then for managerial implications for the proposed improvement to the method with the highest risk level at P10 risk, a page for a list of friends using referral links from users is given to those who have done uploading profile photos.
The effect of NaOH concentration and stem size in the making of Oxalic Acid from Banana Stem Didik Purwanto; A Rasmito; Sihabuddin Sihabuddin
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 1 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i1.2381

Abstract

The main purpose of this research is to determine the effect of NaOH concentration and size of banana stem pieces on the concentration of oxalic acid produced. The experiment procedure is add 20 grams of banana stems that have been dried into 200 ml NaOH then heated and stirred at temperature of 100°C for 1 hour. Then the molten mixture was added with hot 500 ml of water, then cooled and filtered. Filtrate was taken and added to 100 ml CaCl2. Solution is filtered and the sediment is taken. Sediment is inserted into the Erlenmeyer and 200 ml dilute H2SO4 added and then filtered. 10 g active carbon is added into filtrate of the solution, then filtered. Taking 10 ml of the filtrate above to be titrated. From the research has been done, it can be concluded that the greater the concentration of NaOH, the greater the amount of oxalic acid obtained. The longer the size of the banana midrib, the greater the amount of oxalic acid obtained. And, the maximum amount of oxalic acid obtained is 2.99 g that reach at a concentration of 50% NaOH with a length of the banana leaf 2.5 cm.
Fractional Gradient Based Optimization for Nonlinear Separable Data Dian Puspita Hapsari; Muhammad Fahrur Rozi
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 1 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i1.2881

Abstract

The Support Vector Machine or SVM classifier is one of the machine learning algorithms whose job is to predict data. Traditional classifier has limitations in the process of training large-scale data, tends to be slow. This study aims to increase the efficiency of the SVM classifier using a fractional gradient descent optimization algorithm, so that the speed of the data training process can be increased when using large-scale data. There are ten numerical data sets used in the simulation that are used to test the performance of the SVM classifier that has been optimized using the Caputo type fractional gradient descent algorithm. In this paper, we use the Caputo derivative formula to calculate the fractional-order gradient descent from the error function with respect to weights and obtain a deterministic convergence to increase the speed of the Caputo type fractional-order derivative convergence. The test results show that the optimized SVM classifier achieves a faster convergence time with iterations and a small error value. For further research, the optimized SVM linear classifier with fractional gradient descent is implemented on the problem of unbalanced class data.
Petrology and Geochemical Comparation of Pumice and Scoria Rocks of Slamet Volcano, Central Java Yogi Adi Prasetya; Atsushi Toramaru
Journal of Applied Sciences, Management and Engineering Technology Vol 3, No 1 (2022)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2022.v3i1.2954

Abstract

Slamet Volcano is one of Indonesia Quaternary Stratovolcanoes in Central Java Province. Slamet volcano is divided into two parts, Old Slamet in the western part and Young Slamet. The author examined a comparation data of pyroclastic rock of Slamet Volcano, the pyroclastic rocks are pumice from Old Slamet, the scoria fall, and scoria cones are from Young Slamet. They have different geochemical and petrology features, pumice rock has higher SiO2 from 60 to 64 wt.%, scoria fall has SiO2 49.81 to 50.56 wt. %, and scoria cone has SiO2 49.26 wt. %. Petrographic observation showed that pumice is vesicular and contains of phenocryst pyroxene, plagioclase and biotite, scoria fall, and scoria cones have similar petrographic characteristic they have phenocryst of plagioclase, olivine, and pyroxene with hyalopilitic texture. The contrast of major element combined with petrographic features suggest that pyroclastic rock in Slamet Volcano formed by different magma and the magma has differentiation process of Slamet magma is generally caused by magma mixing.

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