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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
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Prediction of the remaining service lifetime of inflatable rubber dam with deep hole damage Budiman, Bentang Arief; Sambegoro, Poetro Lebdo; Rahardian, Samuel; Ilhamsyah, Rizky; Firmansyah, Ridha; Juangsa, Firman Bagja; Aziz, Muhammad
Indonesian Journal of Science and Technology Vol 5, No 3 (2020): IJOST: VOLUME 5, ISSUE 3, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i3.24936

Abstract

This paper exhibits a method to predict the remaining service lifetime of inflatable rubber dam by considering the appearance of deep hole damage. The material used for the rubber dam is a composite comprising three layers of woven fabric as fiber and EPDM/SBR 64 474 rubber as a matrix. The service lifetime is predicted by calculating the degradation of rubber dam’s material properties. Simple Rate Law model and Time-Temperature Superposition model are employed to calculate the rubber properties degradation. A finite element analysis is then conducted to investigate stress and strain distributions which occur in the rubber dam membrane during operational loading. Furthermore, the effect of deep hole damage in the rubber dam, which is caused by improper maintenance, is modeled as well. The results show that a 7 mm depth of the hole can accelerate rubber degradation, which causes catastrophic failure. This can happen because two layers of the woven fabric in the rubber dam have been broken. Suggestion to hold up the degradation is also discussed.
An Instructional Design for Online Learning in Vocational Education according to a Self-Regulated Learning Framework for Problem Solving during the CoViD-19 Crisis Sangsawang, Thosporn
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.v5i2.24702

Abstract

This study used multimedia games as instruments for critical thinking activities based on the Self-Regulated Learning (SRL) framework for the CoViD-19 crisis, supported by achievement tests and questionnaires. The results showed that the present method is effecttive to improve students' learning achievement, confirmed by the higher posttest results compared to than those of the pretest. The educational goals of SRL theories were developed through student-directed instructional design online where the students' guide made some input into their learning processes. The students' satisfaction in learning with the SRL framework for the CoViD-19 crisis gained a high level, informing that the SRL framework for problem solving during the CoViD-19 crisis was useful for teaching and career training. Teaching styles (such as the stable focus, orientation, or intent) constituted the entire patterns of teaching behaviors. This study implies that a self-directed learner can be described as being self-managing in a situation where the individual is engaged in student-centered instructions.
A Neural Network Aided Real-Time Hospital Recommendation System Paranjay, Om Adideva; Rajeshkumar, V
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.v5i2.24585

Abstract

Over the past few years, there have been an overwhelming number of healthcare providers, hospitals and clinics. In such a situation, finding the right hospital for the right ailment can be a considerable challenge. Inspired by this challenge, this work attempts to build a model that can automatically recommend hospitals based on user requirements. In the past there have been important works in physician recommendation.  Our proposed work aims to be more inclusive and provide an automated hospital recommendation system to patients based on neural networks driven classification. We suggest a model that considers several unique parameters, including geographical location. To optimize its usefulness, we design a system that recommends hospitals for general consultation, specialty hospitals, and in view of the pandemic, hospitals recommended for treatment of COVID-19. In this work, we adopt Neural Networks and undertake a comparative analysis between several different available supervised algorithms to identify one best suited neural architecture that can work best in the applied fields. Based on our results from the analysis, we train the selected neural network with context relevant data. In the image of the recommendation system, we develop a website that uses the trained neural network on its backend and displays the recommendation results in a manner interpretable by the end user. We highlight the process of choosing the right neural model for the backend of the website.  To facilitate the working of the website in real-time, we use real time databases hosted on Google Firebase and edge devices on hospital ends. Additionally, we suggest two hospital side data updation tools. These tools would ensure that hospitals can update the parameters which change quickly in the real world to their latest values so as to maintain the precision of the system. We test the website with test data and find that the website recommends hospitals with sufficient precision in the specified format. The model has been designed with the limited amount of data available in this field, but its performance and utility can be easily improved with better quality and more abundant data.
Managing the Interference for Down-Link in LTE Using Fractional Frequency Reuse Ibrahim, Ahmed; Al-Awamry, A.Al-Awamry; Mohra, Ashraf Shawky
Indonesian Journal of Science and Technology Vol 5, No 3 (2020): IJOST: VOLUME 5, ISSUE 3, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i3.25636

Abstract

Long Term Evolution has developed a new radio technology called femtocell or Femto Base station, which is well-suited to improve cellular network capacity and mobile coverage to indoor user's areas. Providing additional capacity and coverage expansion through FBSs could lead to large interference in a cellular radio communication network. In this paper, we proposed an efficient resource allocation scheme based on Fraction Frequency Reuse (FFR) for interference mitigation, where the entire spectrum is shared among network entities. FFR mechanism aims to reduce co-tier and cross-tier downlink interferences by allocating non-overlapping sets of bands to the user equipment at different geographic locations. The main purpose of this work is to compare two main types of FFR schemes, respectively, Strict FFR and Soft Frequency Reuse with the proposed scheme. The three types of FFR schemes were explained and evaluated with Monte-Carlo simulation based on some performance metrics, namely, sum-rate, spectral efficiency, and outage probability. Simulation results showed that the impacts of the proposed scheme are significantly high in comparison with two other methods. The proposed scheme proved to enhance spectral efficiency, reduced the outage probability, and increased the sum rate for all the users.
Removal of Dye Acid Red 1 from Aqueous Solutions Using Chitosan-iso-Vanillin Sorbent Material Abbad, Eman Al; Alakhras, Fadi
Indonesian Journal of Science and Technology Vol 5, No 3 (2020): IJOST: VOLUME 5, ISSUE 3, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i3.24986

Abstract

Sorption of Acid Red 1 (AR1) from aqueous solutions utilizing low-cost sorbent material; (chitosan-iso-vanillin) is studied under batch conditions. The remaining concentrations of the azo dye are measured at λmax = 546 nm by UV spectrophotometric method. Langmuir data reveal that the maximum removal capacity was 555.556 mg/g at pH 3. Freundlich isotherm represents the best fitting model on the removal of AR1 using chemically modified chitosan verifying the sorption takes place on heterogeneous surfaces with multilayer adsorption. Kinetic studies of the sorption process revealed that intraparticle diffusion is not only the rate-determining step but also a chemical reaction takes place as well. The results indicate that high sorption rapidness with almost 90% achieved within 90 min. Thermodynamic investigations suggest that the process favours an exothermic nature. The polymer utilized in the present study is being considered as a feasible sorbent material for the removal of AR1 from waste effluent.
A Design and performance analysis of a telemetry system for remote monitoring of turbidity of water during the COVID-19 pandemic Hasanah, Lilik; Hakim, Wahyu Luqmanul; Aminudin, Ahmad; Sahari, Siti Kudnie; Mulyanti, Budi
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.v5i2.24705

Abstract

A turbidity telemetry system for COVID-19 pandemic situations using nRF24L01+transceiver and SEN0189 water turbidity sensor-based microcontroller has been successfuly  developed.. The method used to characterize the sensor is by comparing sensor output voltages with the value of water turbidity. Turbid water used was created by adding distilled water with a concentration of sediment obtained from the filtered sediment with less than 60 μm in diameter. Data transmission performance for various transmit power was done by calculating the error percentages by comparing the number of messages sent by transmitter and received by receiver. The transmit power settings were 0, -6, -12, and 18 dBm and variations in the distance of data transmission from 10 to 80 m. The test results show that the water turbidity sensor has a good measurement range in measuring turbidity of water from 1.873 to 3500 NTU. Higher concentrations of sediment and turbidity of the water made the sensor output voltage decrease. There was a decrease in output voltage in the value, namely -0.0006 in turbidity sensor sensitivity. The results also show an increase in error percentages as the distance of data transmission increases, while the bigger the transmit power is used for data transmission, the smaller the percentage of errors occurs.
Students’ Intention to Share Information Via Social Media: A Case Study of Covid-19 Pandemic Hashim, Suhaizal; Masek, Alias; Abdullah, Nurhanim Saadah; Paimin, Aini Nazura; Muda, Wan Hanim Nadrah Wan
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.v5i2.24586

Abstract

Agility of science and technology in communication has brought a new dimension of information dissemination, which may have influenced human perceptions, especially on the dissemination of news pertaining to this pandemic. This research aims to determine the students’ sources of information regarding the COVID-19 disease and investigate their intention to share the information pertaining to COVID-19. A survey study was designed using an online questionnaire involving 147 higher education students. The online questionnaire; measures three elements of the students’ intention, namely initiative, desire and resourcefulness. The findings; the sources of information regarding the COVID-19 pandemic are mainly the government authorities and local healthcare workers. The most preferred medium of information regarding the COVID-19 pandemic is social media, and the most trusted medium is the television broadcast. Also, finding suggests that the students take initiative to verify information and demonstrate a desire to share credible and right information with their family and friends through social media. As such, in an effort or attempt to disseminate credible information about any important matters to the general public, the government can count on students as agents for transmitting the information to third parties including their family and friends.
Real-time Forecasting of the COVID-19 Epidemic using the Richards Model in South Sulawesi, Indonesia Zuhairoh, Faihatuz; Rosadi, Dedi
Indonesian Journal of Science and Technology Vol 5, No 3 (2020): IJOST: VOLUME 5, ISSUE 3, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i3.26139

Abstract

This paper discussed Real-time Forecasting of the COVID-19 Epidemic using daily cumulative cases of COVID-19 in South Sulawesi. Our aim is to make model for the growth of COVID-19 cases in South Sulawesi in the top 5 provinces with the largest COVID-19 cases in Indonesia and predict when this pandemic reaches the peak of spread and when it ends. This paper used the Richards model, which is an extension of a simple logistic growth model with additional scaling parameters. Data used in the paper as of June 24, 2020 were taken from the official website of the Indonesian government. Our results are that the maximum cumulative number of COVID-19 cases has reached 10,000 to 12,000 cases. The peak of the pandemic is estimated to occur from June to July 2020 while continuing to impose social restrictions. The condition in South Sulawesi shows a sloping curve around October 2020, which means that there are still additional cases but not significant. When entering November, the curve starts to flat which indicates the addition of very small cases until the pandemic ends. The results of the pandemic peak prediction are the same as the Indonesian data; what is different is the prediction of when the pandemic will end. In the best-case scenario, the current data will tend to slow down, with the COVID-19 pandemic in South Sulawesi expected to end in November 2020. Our modeling procedure can provide information about the ongoing COVID-19 pandemic in South Sulawesi that may facilitate real-time public health responses about future disease outbreaks.
Performance and Energy Consumption Evaluation of Rotating Biological Contactor for Domestic Wastewater Treatment Sharjeel Waqas; Muhammad Roil Bilad; Zakaria B Man
Indonesian Journal of Science and Technology Vol 6, No 1 (2021): IJOST: VOLUME 6, ISSUE 1, April 2021
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v6i1.31524

Abstract

Biological processes are extensively used for wastewater treatment because of low organic footprint, economically feasible, and high treatment efficiency. Rotating biological contactors (RBC), an attached growth biological process offers advantage of low operating cost, simple configuration and structure, reduced bionomical footprint and thus has been extensively employed for organics and nitrogen removal. In this study, RBC was used for the treatment of synthetic domestic wastewater operating at high hydraulic and organic loading rate to demonstrate the biological performance. The results showed that the RBC achieved a treatment efficiency for COD, ammonium, TN and turbidity of 70.2%, 95.2%, 70%, and 78.9 %, respectively. The efficient nitrogen removal and increased nitrate concentration signify the presence of nitrifying bacteria which actively degrade the nitrogen compounds through the nitrification process. Thus, this system is a sound alternative for both domestic and industrial wastewater treatment for decentralized applications.
Forest Cover Change and Legal Pluralism in Forest Management: A Review and Evidence from West Sumatra, Indonesia R. Rudy; Y. Yonariza; Helvi Yanfika; Ali Rahmat; Winih Sekaringtyas Ramadhani; Abdul Mutolib
Indonesian Journal of Science and Technology Vol 6, No 2 (2021): IJOST: VOLUME 6, ISSUE 2, September 2021
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v6i2.34190

Abstract

This study analyzed the functions of shifting (phenomenon of legal pluralism) and identified forest conversion at Production Forest Management Unit of Dharmasraya (PFMU Dharmasraya), West Sumatra, Indonesia from March 2018 to December 2019 using a qualitative research design with a case study approach. The identification of changes in forest cover analyzed by satellite images using the NDVI method to obtain the distribution of forest cover. Discussion on legal pluralism were examined using a non-ethnographic qualitative research approach through interviews with local communities, companies/permit holders, and related institutions (government). From 2000 to 2019, the PFMU Dharmasraya forest area reduced from 86 to 12%, and plantations increased from 10 to 81% of the total area of 33,539 ha. The legal pluralism of forest ownership occurs because local communities use traditional law, claiming the PFMU Dharmasraya area as Ulayat land. In contrast, the government claims the forest belongs to the state. The motives for the conversion of forest functions are the expansion of oil palm and rubber plantations, forest clearing to mark forest ownership rights, and illegal logging.

Page 12 of 22 | Total Record : 220

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