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Nopia CAHYANI,Andi Detti Yunianti,Suhasman,Kidung Tirtayasa Putra PANGESTU,Gustan PARI 한국목재공학회 2023 목재공학 Vol.51 No.1
One type of biomass that has promising potential for bio pellet production is spent coffee grounds (SCGs). However, previous studies have shown that SCGs in bio pellets cause a lot of smoke. Therefore, they need to be mixed with a material that has a higher calorific value to produce better quality pellets. One material that can be used is pine wood because it has a natural resin content that can increase the calorific value. The aim of this study was to examine the quality of bio pellets produced with SCGs and pine wood charcoal at different particle sizes. The charcoal was ground using either a hammer mill (HM) or a ball mill (BM). Pine wood charcoal was mixed with SCGs at ratios of SCGs to pine wood charcoal of 4:6 and 6:4 by weight, respectively, and the adhesive used a tapioca with a composition ratio 5% of the raw material. The bio pellets were produced using a manual pellet press. The quality of the bio pellets was assessed based on Indonesian National Standard (SNI) 8021-2014, and the physical observations include flame length, burning rate, and compressive strength. The average water content, ash content, and calorific value of the bio pellets were in accordance with SNI 8021-2014, but the density and ash content values were below the standard values. The BM variation of bio pellets had a higher compressive strength than the HM variation, and the 4:6 BM variation had the longest burning time compared with 4:6 HM.
Analysis of Unequal Distribution of Population Income in Indonesia
PRAWOTO, Nano,CAHYANI, Richa Dwi Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.7
Income inequality is a problem that is not only faced by developing countries such as Indonesia, but also developed countries. The difference lies in the proportion of an inequality that occurs and the solution to the level of difficulty experienced. Thus, this study aims to empirically analyze the unequal distribution of population income in Java island, Indonesia, by including the human development index, open unemployment rate, foreign investment, and the degree of fiscal decentralization. The research model used in this study was multiple linear regression to analyze the panel data with a fixed-effect model approach. The results of the study showed that human development index, open unemployment rate, and the degree of fiscal decentralization had a positive and significant effect on income inequality in Java island. Meanwhile, foreign investment had a negative and insignificant effect on income inequality in Java. It is because the value of the investment is more invested in the capital-intensive sector. The government is expected to be more selective in accepting foreign investments that enter the country, especially in Java, and it should be labor-intensive investments. In addition, the government has to equalize locations for foreign investment without reducing good cooperation with these foreign investors.
A bioinformatic approach to identify pathogenic variants for Stevens-Johnson syndrome
Muhammad Ma'ruf,Justitia Cahyani Fadli,Muhammad Reza Mahendra,Lalu Muhammad Irham,Nanik Sulistyani,Wirawan Adikusuma,Rockie Chong,Abdi Wira Septama Korea Genome Organization 2023 Genomics & informatics Vol.21 No.2
Stevens-Johnson syndrome (SJS) produces a severe hypersensitivity reaction caused by Herpes simplex virus or mycoplasma infection, vaccination, systemic disease, or other agents. Several studies have investigated the genetic susceptibility involved in SJS. To provide further genetic insights into the pathogenesis of SJS, this study prioritized high-impact, SJS-associated pathogenic variants through integrating bioinformatic and population genetic data. First, we identified SJS-associated single nucleotide polymorphisms from the genome-wide association studies catalog, followed by genome annotation with HaploReg and variant validation with Ensembl. Subsequently, expression quantitative trait locus (eQTL) from GTEx identified human genetic variants with differential gene expression across human tissues. Our results indicate that two variants, namely rs2074494 and rs5010528, which are encoded by the HLA-C (human leukocyte antigen C) gene, were found to be differentially expressed in skin. The allele frequencies for rs2074494 and rs5010528 also appear to significantly differ across continents. We highlight the utility of these population-specific HLA-C genetic variants for genetic association studies, and aid in early prognosis and disease treatment of SJS.
The application of augmented reality for improving clinical skills: a scoping review
Mahmud Mahmud,Sari Dwi Cahyani Ratna,Sari Djayanti,Arfian Nur,Zucha Muhammad Ary 한국의학교육학회 2024 Korean journal of medical education Vol.36 No.1
Augmented reality technology had developed rapidly in recent years and had been applied in many fields, including medical education. Augmented reality had potential to improve students’ knowledge and skills in medical education. This scoping review primarily aims to further elaborate the current studies on the implementation of augmented reality in advancing clinical skills. This study was conducted by utilizing electronic databases such as PubMed, Embase, and Web of Science in June 2022 for articles focusing on the use of augmented reality for improving clinical skills. The Rayyan website was used to screen the articles that met the inclusion criteria, which was the application of augmented reality as a learning method in medical education. Total of 37 articles met the inclusion criteria. These publications suggested that using augmented reality could improve clinical skills. The most researched topics explored were laparoscopic surgery skills and ophthalmology were the most studied topic. The research methods applied in the articles fall into two main categories: randomized control trial (RCT) (29.3%) and non-RCT (70.3%). Augmented reality has the potential to be integrated in medical education, particularly to boost clinical studies. Due to limited databases, however, any further studies on the implementation of augmented reality as a method to enhance skills in medical education need to be conducted.
Investigating Keynesian Theory in Reducing Unemployment and Poverty in Indonesia
PRASETYO, P. Eko,CAHYANI, E. Nur Korea Distribution Science Association 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.10
This research aims to investigate the application of Keynes's theory in Indonesia, particularly in solving unemployment and poverty problems through government spending, economic growth, and human resource capacity. The basic concepts of the Keynesian theory were used as a method, through which government spending was harnessed toward economic growth in reducing unemployment and poverty rate. The analytical materials used were panel data for the 2017-2021 period in Central Java, Indonesia. The analytical methodology used was a multiple regression experimental design in selecting the best model according to Keynes's theory, especially for overcoming formidable problems. The main results showed that large Government spending program is ineffective in encouraging pro-growth, pro-job, pro-poor, and pro-equity development policy strategies. The causes of this failure include the violation of Keynes' assumptions about rationality and the low quality of education investment, which do not encourage productive and innovative entrepreneurship, as well as self-employment opportunities. As a result, government spending, including subsidies and direct financial assistance, used to implement the macroeconomic monetary, unstructured, and fiscal policy system is insufficient to significantly reduce the enormous difficulties. The main research results confirm that human capital capacity is the key to mitigating and reducing unemployment and poverty.