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INDONESIA
Indonesian Journal of Science and Technology
Published by Universitas Pendidikan Indonesia
ISSN : 25278045     EISSN : 25281410     DOI : -
Core Subject : Science, Social,
Computer Science & IT Environmental Science
Arjuna Subject : -
Articles 220 Documents
 7   8   9   10   11 
The Properties of Fuel and Characterization of Functional Groups in Biodiesel -Water Emulsions from Waste Cooking Oil and Its Blends Bhikuning, Annisa; Senda, Jiro Senda
Indonesian Journal of Science and Technology Vol 5, No 1 (2020): IJOST: VOLUME 5, ISSUE 1, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i1.23103

Abstract

Studying biodiesel as an alternative fuel is important for finding the most suitable fuel for the future. Biodiesel from waste cooking oil is one of the alternative fuels to replace fossil oil. Waste cooking oil is the used oil from cooking and is taken from hotels or restaurants. The emulsion of waste cooking oil and water is produced by adding water to the oil, as well as some additives to bind the water and the oil. In this study, the fuel properties of 100% biodiesel waste cooking oil  are compared to several blends by volume: 5% of biodiesel waste cooking oil blended with 95% diesel oil (BD5), 10% of biodiesel waste cooking oil blended with 90% of diesel oil (BD10), 5% of biodiesel waste cooking oil blended with 10% of water and 18.7% of additives (BDW18.7), and 5% of biodiesel waste cooking oil blended with 10% of water and 24.7% of additives (BDW24.7). The objectives of this study are to establish the properties and characteristics of the FTIR (Fourier-transform infrared spectroscopy) of biodiesel-water emulsions from waste cooking oil and to compare them to other fuels. The chemical properties of the fuels are analyzed by using the ASTM D Method and FTIR  to determine the FAME (fatty acid methyl ester) composition of biodiesel in diesel oil. The results showed that the addition of additives in the water-biodiesel oil increases the viscosity, density, and flash point. However, it decreased the caloric value due to the oxygen content in the fuel.
Effect of Density on Consolidation and Creep Parameters of Clay Alhaji, Mustapha Mohammed; Alhassan, Musa; Adejumo, Taiye Waheed; Jibrin, Ramatu
Indonesian Journal of Science and Technology Vol 5, No 1 (2020): IJOST: VOLUME 5, ISSUE 1, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i1.16819

Abstract

Effect of density on consolidation and creep parameters of a clay soil was investigated using a soil classified according to Unified  Soil  Classification  System  (USCS)  as  Clay  of  High plasticity (CH) and composing majorly of secondary minerals, including montmorillonite. The air-dried soil was compacted at five different compaction energy levels (Reduced Standard Proctor compaction energy, Standard Proctor compaction energy, West African compaction energy, Reduced Modified Proctor  compaction  energy,  and  Modified  Proctor compaction energy). Specimens for consolidation tests were molded  at  the  five  different  compaction  energy  levels (densities). The consolidation parameters (initial void ratio, compression  index,  and  preconsolidation  pressure)  were observed to be empirically related to the compaction energy. The  creep  parameters  (i.e.  primary  compression  index, secondary compression index, and magnitude of creep) were observed to increase with increases in loading to 387kN/m2, after  which  the  values  decreased.  Curves  resulting  from these relationships were observed to increase with increases in compaction energy level and tent towards straight line at Modified Proctor compaction energy. Maximum magnitude of creep estimated for three years was observed to reduce from 455.5 mm at Reduced Standard Proctor compaction energy through 268 mm at West African compaction energy to 247.4 mm at Modified Proctor compaction energy levels. 
Investigation of a Cruising Fixed Wing Mini Unmanned Aerial Vehicle Performance Optimization Eftekhari, Shahrooz; Al-Obaidi, Abdulkareem Sh. Mahdi
Indonesian Journal of Science and Technology Vol 4, No 2 (2019): IJOST: VOLUME 4, ISSUE 2, 2019
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v4i2.18185

Abstract

The applications of unmanned aerial vehicles have been extended through the recent decades and they are utilized for both civil and military applications. The urge to utilize unmanned aerial vehicles for civil purposes has elevated researchers and industries interest towards the mini unmanned aerial vehicle (MUAV) category due to its suitable configurations and capabilities for multidisciplinary civil purposes. This study is an effort to further enhance the aerodynamic efficiency of MUAVs through a parametric study of the wing and proposing an innovative bioinspired wing design. The research is conducted utilizing numerical simulation and experimental validation. This research provides a better understanding of different wing parameter(s) effect on the aerodynamic performance of the wing and mini unmanned aerial vehicles. A new wing configuration is designed, implemented and evaluated. The wing is named as Alpine since it is inspired by biomimicry of alpine swift bird. Evaluation of the new wing geometry shows that the Alpine wing geometry performs 35.9% more efficient compared to an existing wing with similar wing area. Hence, the aerodynamic efficiency optimization is achieved for the Alpine wing which helps to enhance the performance of MUAVs.
Application of SEIR Model in COVID-19 and The Effect of Lockdown on Reducing The Number of Active Cases Putra, Zulfan Adi; Abidin, Shahrul Azman Zainal
Indonesian Journal of Science and Technology Vol 5, No 2 (2020): IJOST: VOLUME 5, ISSUE 2, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i2.24432

Abstract

The spread of COVID-19 within a region in South East Asia has been modelled using a compartment model called SEIR (Susceptible, Exposed, Infected, Recovered). Actual number of sick people needing treatments, or the number active case data was used to obtain realistic values of the model parameters such as the reproduction number (R0), incubation, and recovery periods. It is shown that at the beginning of the pandemic where most people were still not aware, the R0 was very high as seen by the steep increase of people got infected and admitted to the hospitals. Few weeks after the lockdown of the region was in place and people were obeying the regulation and observing safe distancing, the R0 values dropped significantly and converged to a steady value of about 3. Using the obtained model parameters, fitted on a daily basis, the maximum number of active cases converged to a certain value of about 2500 cases. It is expected that in the early June 2020 that the number of active cases will drop to a significantly low level.
Development of An Integrated Surface and Sub-Surface Simulation Model in A Single Simulation Platform Zainal, S A; Daud, W R; Rosli, M I; Harun, S; Adi Putra, Zulfan; Bilad, M R
Indonesian Journal of Science and Technology Vol 5, No 1 (2020): IJOST: VOLUME 5, ISSUE 1, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i1.17439

Abstract

An integrated model between surface and sub-surface is typically done by interconnecting many process modelling platforms. PROSPER and GAP are the common steady state modelling platforms for sub-surface while VMGSim and HYSYS are typical steady state surface modelling platforms. A major issue of using multiple simulation platforms is the compatibility of thermodynamic physical properties calculations among the platforms. This situation makes the simulations difficult to converge to a consistent thermo physical properties values. This is due to different interaction parameters applied in each platform that impact flashing and the physical property values even though the same property package such as Peng Robinson is used. To overcome this convergence problem, a single simulation platform within iCON (PETRONAS’s standard process simulation software, co-developed with VMG-Schlumberger) has been developed. This allows the use of one thermodynamic package across the integrated model. PROSPER sub-surface pressure-flow relationship results were automatically correlated and connected to surface models within the iCON environment. This integrated model was validated with data from operations and yielded about 1.23% average error tolerance. Based on this validated model, an optimization envelope can be developed with all possible well lineup configurations. This envelope covers set points for the operations where CAPEX free optimization can readily be applied.
Multiplatform Application Technology – Based Heutagogy on Learning Batik: A Curriculum Development Framework Widiaty, Isma; Riza, Lala Septem; Abdullah, Ade Gafar; Mubaroq, Sugeng Rifqi
Indonesian Journal of Science and Technology Vol 5, No 1 (2020): IJOST: VOLUME 5, ISSUE 1, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i1.18754

Abstract

This  study  aimed  to  design  a  batik  learning  medium  for vocational high school students in based on multiplatform. The application  made was expected  to support heutagogy approach – based learning and to deal with the development of  science  and  technology  integrated  in  the  curriculum  of vocational high schools. The application developed, namely e-botik,  was  an  integration  of  several  previously-designed applications using Code ignitor (CI) framework. The database used was My-SQL. It is commonly known that Code igniter is an open source web application framework utilized to create dynamic PHP applications. In this study, e-botik consisted of three main  components  including interface, database,  and application  programming  interface  (API).  Some  of  the applications combined were ARtikon_joyful (Android-based), Video Kasumedangan Batik (movie player), Nalungtik  Batik (desktop-based),  Digi_Learnik  (web-based),  Batik  UPI (manual),  Batik  Cireundeu  (manual),  and  Lembar  Balik (manual). The combination proceeded web-based so that it was  compatible  with  various  operating  systems.  The application (e-botik) was designed and then tested. The test was  performed  through  whitebox  testing  and  blackbox testing. The results of the test showed that it ran well and was able to be used a batik learning media. It is expected that students  can  utilize  e-botik  in  selecting  topics  of  learning batik in accordance with their competences and needs. This condition enables e-botik to support learning batik through heutagogical approach. In addition, the application was also validated in terms of both system and usage aspects. 
The Deployment of Drones in Sending Drugs and Patient Blood Samples COVID-19 Anggraeni, Sri; Maulidina, Aulia; Dewi, Mauseni Wantika; Rahmadianti, Salma; Rizky, Yulian Putri Chandra; Arinalhaq, Zulfa Fathi; Usdiyana, Dian; Nandiyanto, Asep Bayu Dani; Al-Obaidi, Abdulkareem Sh. Mahdi
Indonesian Journal of Science and Technology Vol 5, No 2 (2020): IJOST: VOLUME 5, ISSUE 2, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i2.24462

Abstract

At present, most countries all over the world are being hard hit by the COVID-19 pandemic and some even are being hit harder than others. This condition has caused widespread disruption of the economic, social, and educational systems in those countries.  Under these conditions, transportation systems also need to be considered. There are problems of distribution of drugs and kits of test equipment to areas far from large cities in the center of the corona pandemic due to access difficulty. Remote locations, being difficult to reach, make the distribution of drugs and equipment for rapid testing uneven so that the recovery rate of patients in the area has a low percentage. Meanwhile, it is essential to ensure the availability of drugs and rapid test equipment in every public health center in all directions of Indonesia. One possible solution is the use of drones to distribute these things to areas that are difficult to reach. This solution is expected to at least improve healing and reduce mortality for patients infected with COVID-19 in remote areas.
Erosion Prediction Model using Fractional Vegetation Cover Arif, Nursida; Danoedoro, Projo; Hartono, Hartono; Mulabbi, Andrew
Indonesian Journal of Science and Technology Vol 5, No 1 (2020): IJOST: VOLUME 5, ISSUE 1, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i1.21060

Abstract

The purpose of this study was to  create an erosion prediction model in Serang Watershed, Indonesia. The erosion model used two input data, namely the slope derivied from Digital Elevation Model (DEM) data, and Fractional Vegetation Cover (FVC) from SPOT images. Assessment of the model was carried out using questionnaires and interviews with several experts by presenting the results of the model and its supporting data. Based on the DEM data, the level of slope steepness in the study area is very varied namely; flat (52.77%), sloping (7.62%), and rather steep to very steep (39.59%). Vegetation density according to the FVC results is dominated by medium density. The results of the analysis of the two input models can provide predictions of the level of erosion with an accuracy of 67.92%. Evaluation of the model was done by experts with conclusions that the method was very flexible and can be adapted to similar watersheds elsewhere.
Application of Artificial Neural Network to Predict Biodiesel Yield from Waste Frying Oil Transesterification Haryanto, Agus; Saputra, Tri Wahyu; Telaumbanua, Mareli; Gita, Amiera Citra
Indonesian Journal of Science and Technology Vol 5, No 1 (2020): IJOST: VOLUME 5, ISSUE 1, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i1.23099

Abstract

Used frying oil (UFO) has a great potential as feedstock for biodiesel production. This study aims to develop an artificial neural  network  (ANN)  model  to  predict  biodiesel  yield produced from base-catalyzed transesterification of UFO. The experiment  was  performed  with  100  mL  of  UFO  at  three different  molar  ratios  (oil:methanol) (namely 1:4,  1:5,  and 1:6), conducted with reaction temperatures of  30 to 55oC (raised by 5oC), and reaction time of 0.25, 0.5, 1, 2, 3, 6, 8, and 10 minutes. Prediction model was based on ANN model consisting  of  three  layers  with  27  combinations  of  three activation  functions  (tansig,  logsig,  purelin).  All  activation function  architectures  were  trained  using  Levenberg- Marquardt train type with 126 data set (87.5%) and learning rate  of  0.001.  Model  validation  used  18  data  set  (12.5%) measured at reaction time of 8 min. Results showed that two ANN models with activation function of logsig-purelin-logsig and purelin-logsig-tansig be the best with RRMSE of 2.41% and  2.44%  with  R2  of  0.9355  and  0.9391,  respectively. Predictions   of   biodiesel   yield   using   ANN   models   are significantly better than those of first-order kinetics.
Zinc Oxide Nanoparticles for Enhancing Students’ View of the Nature of Science and Technology Priyand, Elza Rachman Panca; Sukmafitri, Ajeng; Mudzakir, Ahmad; Nandiyanto, Asep Bayu Dani; Nugraha, Willy Cahya; Ramdhani, Wahyu
Indonesian Journal of Science and Technology Vol 5, No 1 (2020): IJOST: VOLUME 5, ISSUE 1, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i1.22806

Abstract

This study aims to evaluate zinc oxide (ZnO) nanoparticles as a learning media to enhance students' understanding of View of Nature of Science and Technology (VNOST). The method used in this study: (i) understanding how to synthesize ZnO nanoparticles using a liquid-phase synthesis; (ii) implementation of ZnO nanoparticles to students and analysis their comprehension using Transcript Based Lesson Analysis (TBLA) on the Learning Video Recording and Adaptation Learning Transcript VNOST questionnaire, which is linked to the implementation and pattern of knowledge construction; and (iii) descriptive qualitative analysis to analyze the understanding of VNOST for each Category (Naïve, Has Merit and Realist). To support this study, several analyses were done, such as a scanning electron microscope and X-ray diffraction to characterize ZnO nanoparticles’ morphology and crystal structure, respectively, prior to giving this material for further learning to students. Experimental results showed that the use of ZnO nanoparticles is effective to improve the student comprehension. The understanding in the principle of nucleation and growth can be explained well since the reaction of ZnO is relatively fast. Students became more serious in listening during the learning process and more curious to study science and technology. Based on a comparative analysis of the initial and final ability of VNOST, it is proved that there was a change in students' views related to science and technology.

Page 9 of 22 | Total Record : 220

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