Gadjah Mada University

About: Gadjah Mada University is a education organization based out in Yogyakarta, Indonesia. It is known for research contribution in the topics: Population & Adsorption. The organization has 17307 authors who have published 21389 publications receiving 116561 citations. The organization is also known as: University of Gajah Mada & Universitas Gadjah Mada.

Organisational commitment in the police service: exploring the effects of performance measures, procedural justice and interpersonal trust

Abstract: This study aims to investigate whether, and how, the use of performance measures, procedural justice, and interpersonal trust interact to affect organisational commitment of police officers. Drawing on a survey based on a sample of 57 senior officers within a single police force, we find that the use of performance measures, procedural justice, and interpersonal trust are positively associated with organisational commitment. Further analysis reveals that trust between officer and superior mediates the relationship between the use of non-financial measures and organisational commitment, but procedural justice does not have a mediating effect on commitment. These findings are further explored through selected interviews with respondents.

Biological activity, quantitative structure-activity relationship analysis, and molecular docking of xanthone derivatives as anticancer drugs.

Abstract: Background Xanthone derivatives have a wide range of pharmacological activities, such as those involving antibacterial, antiviral, antimalarial, anthelmintic, anti-inflammatory, antiprotozoal, and anticancer properties. Among these, we investigated the anticancer properties of xanthone. This research aimed to analyze the biological activity of ten novel xanthone derivatives, to investigate the most contributing-descriptors for their cytotoxic activities, and to examine the possible mechanism of actions of xanthone compound through molecular docking. Materials and methods The cytotoxic tests were carried out on WiDR and Vero cell lines, by a 3-(4,5-dimethylthiazole-2-yl)-2,5-diphenyl-tetrazolium bromide (MTT) assay method. The structural features required for xanthone's anticancer activity were conducted by using the semi-empirical Austin Model-1 method, and continued with quantitative structure-activity relationship (QSAR) analysis using BuildQSAR program. The study of the possible mechanism of actions of the selected xanthone compound was done through molecular docking with PLANTS. Results The three novel xanthone derivatives (compounds 5, 7, and 8) exhibited cytotoxic activity with compound 5 showed the highest degree of cytotoxicity at concentration 9.23 µg/mL (37.8 µM). The following best equation model was obtained from the BuildQSAR calculation: log 1/IC50 = -8.124 qC1 -35.088 qC2 -6.008 qC3 + 1.831 u + 0.540 logP -9.115 (n = 10, r = 0.976, s = 0.144, F = 15.920, Q2 = 0.651, SPRESS = 0.390). This equation model generated 15 proposed new xanthone compounds with better-predicted anticancer activities. A molecular docking study of compound 5 showed that xanthone formed binding interactions with some receptors involved in cancer pathology, including telomerase, tumor-promoting inflammation (COX-2), and cyclin-dependent kinase-2 (CDK2) inhibitor. Conclusion The results suggested that compound 5 showed the best cytotoxic activity among the xanthone derivatives tested. QSAR analysis showed that the descriptors contributed to xanthone's cytotoxic activity were the net atomic charge at qC1, qC2, and qC3 positions, also dipole moment and logP. Compound 5 was suspected to be cytotoxic by its inhibition of telomerase, COX-2, and CDK2 receptors.

Hydrogen sulfide removal from biogas using a salak fruit seeds packed bed reactor with sulfur oxidizing bacteria as biofilm

Abstract: Directorate General of Higher Educations of Indonesia - scholarship of doctorate program (BPPDN) at Gadjah Mada University ; Hibah Bersaing 2015 and Sandwich-Like program 2015

Occurrence of Heavy Infestation by the Fall Armyworm Spodoptera frugiperda, a New Alien Invasive Pest, in Corn Lampung Indonesia

Abstract: The fall armyworm Spodoptera frugiperda has spread and damaged corn in many African and a few Asian Countries recently. A recent outbreak (2019) of Spodoptera species in corn producing areas in the Island of Sumatra was suspected to be a new invasive species. Field observations were made on May 16, 2019 in the District of East and Central Lampung to identify the attacking Spodoptera species, and to observe and determine the damages. Based on the morphological characteristics, the “Y” inverted shape on the head capsule and the patterns of black spots on the abdominal segments (square and trapezoidal forms), the species was confirmed as S. frugiperda . The larvae heavily damaged the early stage of corn (approximately 2-week old) with 100% plants infested and each plant was occupied by a medium or large larva; while older corn received less damage. Larvae fed on the leaves causing defoliation before feeding on the growing point. Different damage symptoms due to S. frugiperda were compared to those of the Asian corn borer, Ostrinia furnacalis , and further discussion was made to determine the potential consequences of this new threat to the corn production in Indonesia.

Fraudulent Financial Statement: Evidence from Statement on Auditing Standard No. 99

Abstract: The goals of this study are to empirically identify fraud risk factors and construct a model to predict the likelihood of financial statement frauds based on SAS No. 99. Employing logistic regression on 143 firms, this research finds that fraud risk factor proxies for Pressure—net profit/total assets—and Opportunity— inventory/total assets ratio, related party transactions, and Big 4—are significantly associated with fraudulent financial statements, whereas none of the fraud risk factor proxies for Rationalization is significantly associated with fraudulent financial statements. Consistent with prior research, it seems that the likelihood of fraudulent financial statements is easier to be observed publicly using fraud risk factor proxies for Pressure and Opportunity rather than Rationalization. The constructed model can correctly classify firms with a relatively high success rate.