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Jurnal Teknosains
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Core Subject : Engineering,
JOURNAL TEKNOSAINS, is a journal which began publication in 2011, and is published each June and December. JOURNAL TEKNOSAINS is a series of scientific publications in science and technology area from the perspective of a multi and interdisciplinary studies. JOURNAL TEKNOSAINS is an interdisciplinary forum for the publication of original peer-reviewed, contributed and invited articles to improve and enhance science and technology. The journal provides a stimulating and informative variety of papers geared toward theory and practice in the hope that common information shared among a broad coalition of individuals and groups involved in science and technology will facilitate future efforts. JOURNAL TEKNOSAINS published by the Graduate School of Gadjah Mada University. All articles will be subjected to double-blind peer review process following a review by the editors.
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Articles 8 Documents
Search results for , issue " Vol 6, No 1 (2016): December" : 8 Documents clear
FUNDAMENTA LS OF BIOMECHANIC BIOMEDICAL ENGINERING Sriwijaya, Rachmat
Jurnal Teknosains Vol 6, No 1 (2016): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.292 KB) | DOI: 10.22146/teknosains.27828

Abstract

Studi tentang biomechanics telah berkembang pesat dari awalnya hanya aplikasi studi mekanika teknik yang sederhana kemudian meluas dengan pelibatan berbagai bidang studi. Dalam bidang biomechanics buku ini sangat membantu mahasiswa ataupun peneliti untuk memahami dasar-dasar mekanika dan dinamika tubuh manusia, yang menjadi bidang kajian penting dalam studi rekayasa biomedik. Buku ini memberikan pengetahuan yang memadai tentang konsep statika, gerak, dinamika, pemodelan, dan aplikasinya dikaitkan dengan bagian-bagian tubuh dan gerakan manusia, hal-hal yang sangat penting yang seharusnya diketahui dalam pengembangan biomechanics, tetapi sebelumnya sangat jarang untuk didapatkan pustakanya.
PENGARUH EKSTRAK KOPI ROBUSTA TERHADAP EKSPRESI OSTEOKALSIN PADA OSTEOBLAS SELAMA PERGERAKAN GIGI ORTODONTI Herniyati, Herniyati
Jurnal Teknosains Vol 6, No 1 (2016): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1488.232 KB) | DOI: 10.22146/teknosains.23158

Abstract

The objective of  research is  to determine the expression of osteocalcin on osteoblasts during orthodontic tooth movement after administration robusta coffee extract. Materials and Methods: 16 rats  were divided into 2 groups: group K: rats applied with orthodontic mechanical force (OMF) and  group P: OMF +  coffee robusta extract of 20mg /100 g of BW. OMF was conducted by applying  ligature wire on permanent maxillary right first molar and both permanent maxillary incisivus. Subsequently, the permanent maxillary right first molar  moved to mesial with Ni-Ti orthodontic closed coil spring. Observations were made on day 15 by immunohistochemical examination to determine the expression of osteocalcin. Results: Robusta coffee extract  improved the expression of osteocalcin in the compression and tension areas (p <0.05). Expression of osteocalcin in  tension area  larger than that in compression area (p <0.05). Conclusion: The administration of Robusta coffee extract  increases the expression of osteocalcin, which can increase alveolar bone remodeling.
ECONOMIC EVALUATION OF POWER WAVES AT THE BEACH TEGAL Soebyakto, Soebyakto
Jurnal Teknosains Vol 6, No 1 (2016): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.899 KB) | DOI: 10.22146/teknosains.5125

Abstract

Observations of electric power of the waves hitting beach Tegal is obtained by finding the value of the speed, frequency and height of the waves on the beach Tegal. The average value of the wave velocity of 0.15 m/s, the average frequency of 0.17 Hz and a maximum height of 0.6 m on average. This data is still too low to generate electrical power from the mechanical power of the waves. We are still conducting research to increase the speed and height of the waves with a method of "Tapered Channel". This method is expected to raise the value of the wave height of 0.5 m to 2.2 m. Waves of electrical power is estimated to rise to 15.4 Watt/m2 25-50 Watt/m2.In economic calculation, the power of the waves starting from the value of the wave power per m2 per 4 m2. If we need a 100 Watt power of the waves, the beach area that required 4 m2. Economic development beach with waves generate electrical power, built outside the port area, so that the fishermen keep doing the fishing business as it should be. Based on the results of research in theory, the power of the waves is the speed of the wave function that describes the linear curve. However, the results of research that has been done show that the power of the waves is a function of the speed of the waves, which described as a hyperbolic curve. Wave power increases with increasing speed of the waves. While the formulation used is the wave velocity is a function of the height of the waves. By using the method of "Tepered Channel" to catch a wave, the wave speed will be higher. The results of economic research to generate electrical waves can be calculated byeconomic aspects of the compute power of the waves and technological aspects by counting the frequency of the waves
APPLYING ALPHA-BETA ALGORITHM IN A CHESS ENGINE Putra, Werda Buana; Heryawan, Lukman
Jurnal Teknosains Vol 6, No 1 (2016): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (448.666 KB) | DOI: 10.22146/teknosains.11380

Abstract

Minimax Algorithm, is a solution to reduce the burden on hardware in chess engine. However, a more in-depth method is needed to further increase the search algorithm. One of those solutions is called Alpha-Beta Pruning algorithm. The idea is to eliminate the unnecessary nodes in the search tree. 
PREPARASI DAN PENENTUAN JENIS OKSIDA BESI PADA MATERIAL MAGNETIK PASIR BESI LANSILOWO Prasdiantika, Ricka; Susanto, Susanto
Jurnal Teknosains Vol 6, No 1 (2016): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6006.791 KB) | DOI: 10.22146/teknosains.11385

Abstract

This study aims to preparation, identify the content, and determine the type of iron oxide on the magnetic material from Iron Sand Lansilowo. Magnetic material is separated from iron sand using an external magnet. Magnetic material washes by using aquadest and dried at 80 °C. Materials were characterized by X-Ray fluorescence (XRF), Fourier Transform Infrared (FT-IR) spectrophotometer, X-ray diffractometer (XRD) and Transmission electron microscope (TEM). The results show that the magnetic material of iron sand Lansilowo contains elements of Fe (46.13%), the element Cr (28.08%), Mg (10,11%), Si (8.20%) and other minor elements. Iron oxide contained in iron sand Lansilowo is dominated by magnetite iron oxide (Fe3O4). The results of characterization show that the magnetic material of iron sand still contain oxide impurities such as silica oxide and chromium oxide
ANALISIS PENGARUH DIMENSI BUDAYA TERHADAP NIAT MELAKUKAN WHISTLEBLOWING : PERBANDINGAN ANTARA MAHASISWA DAN ENGINEER Finandari, Dessy; Wijayanto, Titis
Jurnal Teknosains Vol 6, No 1 (2016): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.389 KB) | DOI: 10.22146/teknosains.27104

Abstract

This study aims to investigate the differences between engineering students and engineers on whistleblowing intentions, the effect of cultural dimensions on whistleblowing intentions, and the effect of ethnic differences on whistleblowing intentions. Each respondent was faced with three cases: a case involving a superior, a case involving a colleague, and an unknown case who was responsible. Each respondent is asked to provide an assessment related to the seriousness of cases, responsibilities and intentions to conduct whistleblowing internally or externally. Result indicate that students have intention to do internal whistleblowing higher than engineer. The lower the power distance, the higher the internal whistleblowing intention. The higher collectivism and long-term orientation, the higher the internal whistleblowing intention. Significant ethnic differences in intent to conduct whistleblowing are found in internal whistleblowing for unknown cases, and external whistleblowing in cases involving superiors
ROLE OF REDUCING CELL LEAKAGE IN CELL CULTURE USING LARGE PORE SIZE PERMEABLE MEMBRANE Kaliwantoro, Nur; Soesatyo, Marsetyawan HNE; Indarto, Indarto; Juffrie, Mohammad; Dharmastiti, Rini; Suprihatin, Suprihatin
Jurnal Teknosains Vol 6, No 1 (2016): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3008.233 KB) | DOI: 10.22146/teknosains.27192

Abstract

Permeable membranes are widely used in many in vitro studies using cell culture. Some cell leakage are often occurs when using permeable membrane with large pore size. Unfortunately the use of permeable membrane with smaller pore size in permeability studies faces some difficulties due to its small pore size and pore density. Recent study provides the protocol in using permeable membrane with large pore size with smaller cell leakage. Vero cell line (CCL-81, ATCC) was used and culture on polyester permeable membrane with 3 µm pore size. Visualization using inverted microscope was used to analized the cell leakage on the permeable membrane. Parallel plate flow chamber was used to analized the permeability performance of the Vero cell cultured on the permeable membrane. The result showed that the current technique is significant in reducing cell leakage of the cell cultured on large pore size of permeable membrane. The same results were found in using polyester and polycarbonate permeable membrane.
APLIKASI JARINGAN SARAF TIRUAN DAN PARTICLE SWARM OPTIMIZATION UNTUK PERAMALAN INDEKS HARGA SAHAM BURSA EFEK INDONESIA Wartati, Desy; Masruroh, Nur Aini
Jurnal Teknosains Vol 6, No 1 (2016): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.306 KB) | DOI: 10.22146/teknosains.27616

Abstract

Jakarta Composite Index (JCI) is the main stock index in Indonesia Stock Exchange, which indicates the movement of the performance of all stocks listed. The data of stock price index often experience rapid fluctuations in a short time, so it is needed to carry out an analysis to help investor making the right investment decisions. Forecasting JCI is one of the activities that can be done because it helps to predict the value of the stock price in accordance with the past patterns, so it can be a consideration to make a decision. In this research, there are two forecasting models created to predict JCI, which are Artificial Neural Network (ANN) model with (1) Backpropagation algorithm (BP) and (2) Backpropagation algorithm model combined with Particle Swarm Optimization algorithm (PSO). The development of both models is done from the stage of the training process to obtain optimal weights on each network layer, followed by a stage of the testing process to determine whether the models are valid or not based on the tracking signals that are generated. ANN model is used because it is known to have the ability to process data that is nonlinear such as stock price indices and PSO is used to help ANN to gain weight with a fast computing time and tend to provide optimal results. Forecast results generated from both models are compared based on the error of computation time and forecast error. ANN model with BP algorithm generates computation time of training process for 4,9927 seconds with MSE of training and testing process is respectively 0,0031 and 0,0131, and MAPE of forecast results is 2,55%. ANN model with BP algorithm combined with PSO generates computation time of training process for 4,3867 seconds with MSE of training and testing process is respectively 0,0030 and 0,0062, and MAPE of forecast result is 1,88%. Based on these results, it can be concluded that ANN model with BP algorithm combined with PSO provides a more optimal result than ANN model with BP algorithm.

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