Gadjah Mada University

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    Model Deteksi COVID-19 dari Citra CT Scan Dada Menggunakan DenseNet-121

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    The primary diagnosis of COVID-19 is the RT-PCR test, but it was found that RT-PCR has the disadvantage of low sensitivity in the early phase of infection. Chest CT has the advantage of higher sensitivity in the early phase of infection compared to RT-PCR, so it can be used as a complement to the RT-PCR test to help reduce the spread of COVID-19 due to false negative results. To help medical personnel, Deep Learning can be used to automate the COVID-19 detection process via chest CT images. In this research, a COVID-19 detection model was built by transfer learning of DenseNet-121. Several variations were done, that is without & with fine tuning, also variations on Learning Rate (LR) which was default LR (0.001) & LR obtained from Learning Rate Finder (0.0001). The model was trained using ReduceLROnPlateau & EarlyStopping callbacks. The dataset used was a dataset made of 3 classes (Normal, Pneumonia, & COVID-19) from COVIDx CT-2A which has gone through an undersampling process & various types of image augmentation. The model performance was then evaluated using various evaluation metrics namely accuracy, sensitivity, precision, & specificity. The best results obtained were from the model with fine tuning & LR obtained from Learning Rate Finder. This model worked well, with an accuracy of 97.64%; precision of 96.49%; sensitivity of 96.43%; & specificity of 98.25%

    Denying the accusation of plagiarism: power relations at play in dictating plagiarism as academic misconduct

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    In academia, plagiarism is considered detrimental to the advancement of sciences, and the plagiarists can be charged with sanctions. However, the plagiarism cases involving three rectors of universities in Indonesia stand out, as they could defend their stand for not committing academic misconduct despite evidence found. By analyzing the three rectors' cases, the present study aims to answer how power relations take a role in plagiarism discourse in Indonesia, particularly in determining what is considered academic misconduct and what is not. By employing critical discourse analysis, we found that when the accusation of plagiarism appears during rectorial elections, the accused could equivocate that the accusation was meant to undermine them as a political opponent. When the accused plagiarists win the election, they have more power to deny and tackle the accusations of plagiarism. The findings indicate that plagiarism issues can be politicized, in which by those in power it can be used as a tool to undermine their political opponents, whereas the accused plagiarists can claim that the actual problem is personal and not about plagiarism. It is also shown that in the real context, whether something is called plagiarism or not is subject to interpretation by those in power

    Cold Stress Response Genes of Lantiplantibacillus plantarum subsp. plantarum Mut-3 and Lantiplantibacillus plantarum subsp. plantarum Mut-7 Support the Ability to Survive in Low-Temperature Conditions

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    Probiotics are widely consumed in various food matrices to provide health benefits to the host. The viability of probiotic cells is influenced by several factors, including exposure to high temperatures during the production process and low temperatures during storage. In this study, we report the response to cold stress of Lantiplantibacillus plantarum subsp. plantarum Mut-3 and Mut-7 after 24 h of storage at 4°C and-20�. The cell number of Lantiplantibacillus plantarum subsp. plantarum Mut-3 and Mut-7 in low-temperature condition had no significant differences than their initial number: 11.88 log CFU/ml and 11.62 log CFU/ml at 4°C; 11.51 log CFU/ml and 11.47 log CFU/ml at-20°C for Mut-3 and Mut-7 respectively. The results indicated the survival capacity of Lantiplantibacillus plantarum subsp. plantarum Mut-3 and Mut-7 at low temperatures. The genes encoding cold shock proteins for the response to cold stress were evaluated by genome sequencing. The CspA/CspC genes of Lantiplantibacillus plantarum subsp. plantarum Mut-3 and Mut-7 possibly play a role in maintaining cell resistance at low temperatures, since the genes products predicted to have conserved motifs in the RNA binding protein (RNP)-1 and RNP-2 responsible for cold response stress which are similar to those in other bacteria. © 2023, Bogor Agricultural University. All rights reserved

    Jack Bean (Canavalia ensiformis) Tempeh: ACE-Inhibitory Peptide Formation during Absorption in the Small Intestine

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    Research background. High blood pressure is the most significant cause of mortality globally. Some fermented foods include ACE-inhibitory peptides that help fight this dis-ease. The ability of fermented jack bean (tempeh) to inhibit ACE during consumption has not been demonstrated yet. This study identified and characterised ACE-inhibitory peptides from jack bean tempeh produced by small intestine absorption using the everted intestinal sac model. Experimental approach. Sequentially, the protein extract of jack bean tempeh and un-fermented jack bean was hydrolysed using pepsin-pancreatin for 240 min. The hydrolysed samples were then evaluated for the peptide absorption using three-segmented everted intestinal sacs (duodenum, jejunum and ileum). The peptides absorbed from all intestinal segments were mixed in the small intestine. Results and conclusions. The data showed that both jack bean tempeh and unferment-ed jack bean had the same peptide absorption pattern, with the highest percentage of peptide absorption in the jejunum, followed by the duodenum and ileum. The absorbed peptides of jack bean tempeh exhibited equally strong activity of ACE inhibition in all intestinal segments, while the unfermented jack bean showed strong activity only in the jejunum. The mixture of the peptides from jack bean tempeh absorbed in the small intestine had higher ACE-inhibitory activity (81.09 ) than the unfermented jack bean (72.22 ). The peptides produced from jack bean tempeh were identified as pro-drug ACE inhib-itors and had the mixed inhibition pattern. The mixture of peptides consisted of seven types of peptides with a molecular mass of 826.86�978.20 Da (DLGKAPIN, GKGRFVYG, PF-MRWR, DKDHAEI, LAHLYEPS, KIKHPEVK, and LLRDTCK). Novelty and scientific contribution. This study discovered that consuming jack bean tempeh generated more potent ACE-inhibitory peptides during small intestine absorption than cooked jack beans. Absorbed tempeh peptides have high ACE-inhibitory activ-ity. © 2023, University of Zagreb. All rights reserved

    Optimization of the Formulation of Sago Starch Edible Coatings Incorporated with Nano Cellulose Fiber (CNF)

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    This study aimed to produce new edible coatings based on the mixture of sago starch, cellulose nanofiber (CNF), glycerol, and tween-80.The effect of sago starch (5-10 g of starch/100 ml of distilled water), CNF (0.5-20 %), glycerol (10-30 %), and tween-80 (0.5â-10 %) based on sago starch concentration on contact angle (CA), water vapor permeability (WVP), oxygen permeability (PO2) and tensile strength (TS) properties of the edible coatings were optimized using factorial experimental design (2k).The result showed that the linear model for all independent variables was significant (P<0,05) on all responses (dependent variable).The sago starch concentration depicted a significant (p < 0.001) positive effect on contact angle; CNF showed a statistically significant effect on WVP, PO2, and TS; tween-80 showed a significant effect on all dependent variables, whereas glycerol only affected WVP. The optimum concentrations of sago starch, CNF, glycerol, and tween-80 were predicted to be 5 g/100 ml distilled water, 20 w/w, 10 w/w, and 0.5 w/w based on sago starch, respectively to obtain the minimum contact angle, WVP, PO2, and the maximum TS. The predicted data for the optimized coating formulation were in good agreement with the experimental value. This work revealed that the potential of sago starch/CNF based coating formulation could be effectively produced and successfully applied for coating of food

    Indonesia’s Recent University Graduates amidst the COVID-19 Pandemic: Employability and Resilience

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    This study investigates the experiences of Indonesia’s fresh university graduates during the COVID-19 pandemic and their efforts to enter the world of work. We discuss this issue by referring to the scholarly discussion of youths’ transition to work in the post-industrial era, during which traditional full-time and life-long employment has given way to a more contingent employment landscape. This article relies on data collected from an online survey involving 800 fresh university graduates, in-depth interviews with 16 informants, and focus group discussions with 24 participants. It shows that most fresh graduates have had difficulty finding the jobs they desire during the COVID-19 pandemic. Nonetheless, most of them have adapted resiliently through meaningful activities such as social networking, religious missions, and skill upgrading. We argue that fresh graduates in Indonesia have experienced multiple transitions without any order or regularity (i.e., fractured transitions), which has only been exacerbated by the COVID-19 pandemic. This study enriches our understanding of labor and employability by considering their noneconomic dimensions through an exploration of fresh graduates’ individual trajectories and socio-economic contexts, and echoes that youth transition is neither linear nor uniform

    Hydroxylation Kinetics of Epoxidized Tung Oil Using Methanol as Nucleophilic Agent

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    The synthesis of vegetable oil-based polyols has been carried out through the epoxidation-hydroxylation process. However, Tung oil has never been explored in the process, even though Tung oil has a high double bond. Epoxidized Tung Oil (ETO) with oxirane numbers of 3.92 to 4.04 mmol/g were hydroxylated with methanol and catalyzed by Sulfuric Acid (H2SO4). The objective of this study is to produce polyols from ETO and to evaluate the influence of temperature and catalyst concentration on the hydroxylation process. A second-order reaction kinetic study was also developed to represent the reaction. The ETO hydroxylation was carried out in a batch reactor for four hours. The reaction rate was determined based on the concentration of ETO (oxirane number) and Hydroxyl Value (OHV). The result shows that temperature and catalyst concentration have a directly proportional correlation to OHV and are inversely proportional to the concentration of ETO (epoxy). For temperatures above 40°C, the decreasing rate of the epoxy concentration at the beginning was relatively much faster than at the end of the reaction. In the temperature variation, the highest OHV obtained was 3.70 mmolKOH/g or 207.39 mgKOH/g at 80°C. The optimum catalyst concentration obtained in this study was 3%. The evaluated kinetics model gave great results for all reaction temperatures, with the highest total SSE for epoxy concentration and OHV data fitting of 0.156 and 0.045, respectively. The calculated activation energy (Ea) was 30.41 kJ/mol and the pre-exponential factor (A) was 255.00 g.mmol-1.min-1

    An Approach For Selecting CO2 Removal Technology In Indonesia's Upstream Natural Gas Industry Using AHP Method

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    Impurities are commonly found in natural gas which is produced from reservoirs deposit. The predominant impurities come in CO2 forms. Hence, the selection of proper CO2 removal technologies is a significant step in process engineering as it strongly affects the size of CAPEX and OPEX. However, the selection of the CO2 removal process is not always trivial and further it must be conducted in the beginning of the project feasibility study. Currently, there are several CO2 removal technologies including absorption, adsorption and membranes. Considering their advantages and limitations, there is a need to analyse the relationship between the CO2 removal cost with the required product gas, impurities, flow capacity, geographical factor and CO2 tax in Indonesia. Thus, these criteria are evaluated through the multi-criteria decision-making (MCDM) technique for selecting the most suitable technology for removing CO2. In this study, Analytic Hierarchy Process (AHP) is chosen and applied to evaluate the significance of each criterion. The results showed that absorption using the amine system is frequently used in Indonesia's upstream natural gas industry. Furthermore, the use of the adsorption method (pressure swing adsorption) for a low-quantity gas feed also showed good results. The use of AHP method for selecting CO2 removal technology in Indonesia's upstream natural gas industry can be used by investors and policymakers as a useful pre-investment tool analysis in developing new fields. The current proposed method aims to screen the best CO2 removal technology by taking into accounts technical performance, revenue and cost, as well as reducing emissions

    Students are Happier in Madrasah: The Results of Bayesian Analysis on Indonesian National Survey Data

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    Islamic education is an important part of the Indonesian education system. This is not only because Indonesia is the biggest Muslim country in the world, but also because Islamic education has a social, cultural, and political role in Indonesian society. Nevertheless, madrasahs in Indonesia face several challenges entrenched from financial constraints. This leads to adverse consequences such as restrictions in the provision of infrastructure, inadequate quality of teachers, and low academic achievement in the national exam. Furthermore, students in madrasahs have more burdens than those in regular schools; for instance, students in madrasahs have more subjects to study, longer school hours, and must adhere to stricter rules and conduct. The challenges faced by madrasah raise concerns regarding its effects on students� subjective well-being. Therefore, the present study aims to investigate whether there is a difference in students� happiness between those who attend madrasahs and the regular schools. The data collected were based on the results of face-to-face interviews with 1,299 secondary education students in Indonesia. The results of the Bayesian ANCOVA analysis showed that the best-fitting model for predicting students� happiness contained type of school and wealth level as predictors. The results also showed that the happiness level of madrasah students was significantly higher than their counterparts in regular high school. The finding is noteworthy because students� happiness in madrasah is higher than in the regular school, despite the lower level of wealth. The results further discussed the literature on religiosity and happiness in the context of adolescent education. © 2023, Institut Agama Islam Ma'arif NU (IAIMNU) Metro Lampung. All rights reserved

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