Data Analysis Method Research Articles

Evaluating the biological activity of rolB-transgenic Nicotiana tabacum plants using phytochemical and pharmacological approaches

The present study explored the impact of rolB gene transformation on biological activities of Nicotiana tabacum. PCR, and RT-qPCR were used to validate the integration of rolB gene and its expression. HPLC analysis was used for phytochemical profiling, and various in-vitro and in-vivo assays were used to assess pharmacological activities of wild-type and transgenic extracts using ANOVA and Tukey’s multiple comparison method for data analysis. Our findings indicated increased total phenolic content (24.4 ± 0.2 mg GAE/g DW of extract) and total flavonoid content (58.8 ± 1.1 mg QE/g DW of extract) in transgenic plants. In case of antioxidant activities, an increase in reducing power (51.82 ± 0.4 AAE mg/g), and radical scavenging (IC50 188 ± 2.7 µg/mL) was observed. Similarly, transgenic lines exhibited DNA protection against damage caused by free radicals. Moreover, we detected significant antileishmanial potential (IC50 350.7 ± 8.3 µg/mL), butyrylcholinesterase (IC50 268.6 ± 4.7 µg/mL), and acetylcholinesterase inhibitions (IC50 421.6 ± 3.7 µg/mL) in transgenic plants. Similarly, compared with the non-transgenic plants, the rolB-transgenic plants showed increased analgesic (71.4%), anti-inflammatory activities (77.8%), and 35.6% decrease in depression compared to non-transgenic plants. The improved pharmacological activities in transgenic plants have been linked to the level of phytochemicals that increase the therapeutic and curative properties of N. tabacum plants.

Faktor Penyebab yang Paling Dominan Kejadian Dermatitis Kontak Iritan pada Pekerja di TPA (Tempat Pemrosesan Akhir) Talang Gulo Kota Jambi

This study aims to analyze the dominant causal factors of subjective complaints of irritant contact dermatitis in workers at the Talang Gulo Landfill in Jambi City. The data analysis method in this study explains the stages of analysis, namely starting with data collection, data processing and data analysis. Data collection was carried out by the researcher himself and assisted by three enumerators and the head of waste management at the Talang Gulo Landfill. The data that has been obtained is then collected, processed according to the objectives and conceptual framework of the study. After the data is collected, data processing is carried out. Data processing is carried out through the stages of editing, coding, data entry, and data cleaning. The data that has been processed is then analyzed using univariate analysis, bivariate analysis and multivariate analysis. The results of the study showed that the factors related to subjective complaints of irritant contact dermatitis are knowledge, chemical exposure from waste and personal hygiene. Of the three factors, personal hygiene is the most dominant factor in the occurrence of subjective complaints of irritant contact dermatitis. Respondents who have poor personal hygiene have a 6.123 times higher risk of experiencing subjective complaints of irritant contact dermatitis when compared to respondents who have good personal hygiene after being controlled with the variables of knowledge and chemical exposure from waste.

Pengaruh Pemahaman dan Kesiapan terhadap Penerapan Standar Akuntansi Keuangan Entitas Mikro Kecil dan Menengah (SAK EMKM) pada UMKM Jenis Perdagangan dan Reparasi di Kabupaten Ponorogo

Micro, Small and Medium Enterprises (MSMEs) in Indonesia are one of the priorities in national economic development. Therefore, reporting in this type of MSME business activity must be able to make systematic reports with the recording process following the applicable Financial Accounting Standards. So, there needs to be an understanding and readiness factor in preparing the report, so that SAK EMKM can be implemented in the management of MSMEs. This research aims to determine the effect of understanding and readiness for SAK EMKM on Trade and Repair MSMEs in Ponorogo Regency. This type of research uses primary data in the form of data on the number of trade and repair type MSMEs in 2021. This research method is a quantitative descriptive approach. Meanwhile, the data analysis method uses data quality testing, regression analysis, and hypothesis testing, while data collection is by distributing questionnaires and interviews. The results of this research show that there is a significant influence of understanding and readiness factors on the implementation of SAK EMKM in Ponorogo Regency. This means that the government needs to pay more attention or provide outreach/direction regarding the preparation of financial reports to MSME actors in Ponorogo Regency in accordance with applicable financial standards.

PENGARUH UKURAN, PERTUMBUHAN, DAN LEVERAGE TERHADAP NILAI PERUSAHAAN DENGAN VARIABEL INTERVENING HARGA SAHAM

This research aims to test and analyze the influence of size, growth and leverage on company value with the intervening variable stock price. The population in this research are food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange 2020-2022. Meanwhile, the sample in this study was 22 companies selected using the purposive sampling method. This research uses a quantitative research type and approach. The data collection method used in this research is secondary data obtained from the Indonesia Stock Exchange website, namely in the form of annual financial reports. The data analysis method used in this research is Descriptive Statistical Analysis, and Inferential Statistical Analysis. Data analysis was carried out using statistics with the SmartPLS version 4.0 tool. Based on the results of data analysis using hypothesis testing, it shows that company size and company growth have a significant effect on share prices, while leverage has no significant effect on share prices. Company size, leverage, and share price have a significant effect on company value, while company growth does not have a significant effect on company value. Company size and company growth have a significant effect on company value through share prices, while leverage does not have a significant effect on company value through share prices.

Trends Research Project Based Learning (PjBL) Model to Improve Science Process Skills in Students' Science Learning (2015-2024): A Systematic Review

Science process skills are very important for students to apply scientific methods and develop knowledge in order to gain new knowledge or enrich existing knowledge. Science process skills can be facilitated through learning with a Project Based Learning (PjBL) model. This research aims to identify and analyze research trends of PjBL model to improve science process skill in science learning. This research method is descriptive and analytical. The data used in this research was obtained from documents indexed by Google Scholar from 2015-2024 using Publish or Perish and Dimension.ai. Research procedures use PRISMA guidelines. The data identified and analyzed are the type of publication, publication source, and the title of research on PjBL model to improve science process skill in science learning that is widely cited. The data analysis method uses bibliometric analysis assisted by VOS viewer software. The results of the analysis show that research trend on PjBL model to improve science process skill in science learning indexed by Google Scholar from 2015 to 2024 has experienced a fluctuating increase. However, in 2024 there will be a decline in the research trend on it. There are many documents in the form of articles, proceedings, chapters, preprints and edited books that discuss research into the PjBL model to improve science process skill in science learning. Key words that are often used in research about it are local wisdom, inquiry model, PBL, scientific attitude, etc.

Development of 'Kenalin' Learning Media Based on the Smart Apps Creator Application to Improve Student Learning Outcomes in Class IV Elementary School Science Subjects

Science and Technology learning in class IV at SD Negeri Kandri 01 is still not optimal in the use of IT-based learning media. This affects the learning outcomes of students who have not met the KKTP. This research aims to develop, and test the feasibility, and effectiveness of the "Kenalin" learning media based on the Smart Apps Creator application for the material Indonesiaku Kaya Budaya and also to find out whether the 'Kenalin' learning media can significantly improve student learning outcomes. This type of research is Research and Development (R&D) with the Borg and Gall development model. Using test techniques (pretest and posttest) and non-test techniques (observation, interviews, initial data analysis, and final data analysis). The data analysis method used in this research includes initial data analysis using the normality test, as well as final data analysis using the average difference test using theT-Test and measuring the average increase using N-Gain. Based on the results of material validation and media validation, it was found that the 'Kenalin' media met the standard criteria for being very worthy with a score of 92.50% from material expert validators and 95% from media expert validators. The effectiveness of using the 'Kenalin' media was assessed by comparing the pretest and posttest scores using the N- Gain test which obtained a score of 0.58 which was included in the medium category and the paired simple test obtained a result of 0.000 <0.005, so Ho was rejected and Ha was accepted. This research concludes that the "Kenalin" learning media based on Smart Apps Creator is suitable and effective for use as a learning media for the material My Indonesia is Rich in Culture, student learning outcomes also show a significant improvement.

Improving Students' Science Process Skills Through Project Based Learning Models: A Systematic Review

Science process skills are very important for students to apply scientific methods and develop knowledge in order to gain new knowledge or enrich existing knowledge. Science process skills can be facilitated through learning with a project based learning (PjBL) model. This research aims to identify and analyze research trends of PjBL model to improve science process skill in science learning. This research method is descriptive and analytical. The data used in this research was obtained from documents indexed by Google Scholar from 2015-2024 using Publish or Perish and Dimension.ai. Research procedures use PRISMA guidelines. The data identified and analyzed are the type of publication, publication source, and the title of research on PjBL model to improve science process skill in science learning that is widely cited. The data analysis method uses bibliometric analysis assisted by VOS viewer software. The results of the analysis show that research trend on PjBL model to improve science process skill in science learning indexed by Google Scholar from 2015 to 2024 has experienced a fluctuating increase. However, in 2024 there will be a decline in the research trend on it. There are many documents in the form of articles, proceedings, chapters, preprints and edited books that discuss research into the PjBL model to improve science process skill in science learning. Key words that are often used in research about it are local wisdom, inquiry model, PBL, scientific attitude, etc.

Trends Research Characterization of TiO2 Thin Films as Solar Cell Materials (2015-2024): A Systematic Review

Research in the field of solar cells continues to increase along with the development of the times and human needs for renewable energy sources. One of the fields of study that is often used as a research topic is the development of Thin Film Solar Cells or known as Thin Film Solar Cells (TFSC). This research aims to identify and analyze research trends of synthesis of Ti02 thin films as solar cell materials. This research method is descriptive and analytical. The data used in this research was obtained from documents indexed by Google Scholar from 2015-2024 using Publish or Perish and Dimension.ai. Research procedures use PRISMA guidelines. The data identified and analyzed are the type of publication, publication source, and the title of research on synthesis of Ti02 thin films as solar cell materials that is widely cited. The data analysis method uses bibliometric analysis assisted by VOS viewer software. The results of the analysis show that research trend on synthesis of TiO2 thin films as solar cell materials indexed by Google Scholar from 2015 to 2024 has experienced increases and decreases. There are many documents in the form of articles, proceedings, chapters, preprints, monograph and edited books that discuss research about synthesis of Ti02 thin films as solar cell materials. Key words that are often used in research about it are dye sensitized cell, electrode, electron, characterization, etc.

Kajian Manfaat Taman Bagi Kesehatan Mental Masyarakat di Kota Sukabumi Selama Pandemi COVID-19

The COVID-19 pandemic has increased mental health problems in Sukabumi City. Urban parks can integrate environment, society, and health in urban environments by promoting an ecological approach based on contact with nature. This study aims to analyze the effect of performing activities for at least 20 minutes in Taman Alun-alun and Taman Lapang Merdeka on mental health visitors with a sample of 30 people in each park selected through purposive sampling. The data collection method used was experimental, with the One Group Pretest-Posttest research design through The Mental Health Inventory (MHI-38) questionnaire, which had been tested for validity and reliability. The data analysis method used is the Paired Samples T-test with SPSS 22. The results show that performing activities in a city park for at least 20 minutes can improve the mental health of visitors aged 18-25 years during the COVID-19 pandemic, with the highest increase in the average mental health score in Taman Lapang Merdeka because it provides facilities for physical and non-physical activities.

The case study of acquiring the repository of archival documents (1989–1993) on Chernobyl disaster mitigation efforts in Kaluga Region

The authors discuss the findings of the study of documents of 1989-1993 issued by the executive authorities and preserved in the State Archive of Kaluga Region. The purpose of the study is building the electronic archive of the documents related to Chernobyl disaster mitigation efforts on the contaminated territories. The research method of data analysis was applied. As a result of the accomplished study, the document repository was established to preserve the most significant materials related to the recovery of radiation contaminated lands of Kaluga region. The documents for the conversion into electronic formats were selected by criteria of the relation to the actual mitigation efforts. The study findings may be applied to analyze administrative decisions on various stages of execution, in particular, to assess the impact of statement of controlled radiation contaminated areas and disruption of the existing economic set-up.

Researching into Preventing Harmful Rent-Seeking Practices: Strategic Policy Interventions Required and Lessons Learnt for Asian Countries

The author of this work argues that rent-seeking occurs in a situation wherein a company or individual seeks special privileges from another party, often the government, but does not reciprocate back. Its examples are (a) license requirements for professions; (b) creating barriers to entry for new businesses, and (c) grants, subsidies, or tariff protection. In the language of economics, rent is defined as “wealth gained via questionable, often manipulative means”.A closer look at the theoretical perspective and review of related literature is indicative of the fact that identification (and practice) of policy-induced harmful rents have been resorted to in many firms and for various purposes. More specifically, the practice of rent-seeking model has been found to be resulting in both economic ‘gains’, and ‘losses’. The bottom-line is that there is a lack of scientific research evidence and published data on how national governments and donor agencies (from across the regions of the globe) have formulated and adopted rent-seeking approaches. The author of this research essay argues that in view of these contradictions and controversies, it is important for the academic and research community to seek answers to pertinent questions on potential advantages of rent-seeking approach. The questions that need to be debated and researched into are:a) what are the approaches to identify policy-induced harmful rent-seeking practices? b) what are their respective strengths and weaknesses? c) how governments and donors have used them in different perspectives? The author, in this paper, aims to seek answer to the above prominent and key questions in the context of countries in the Asian region. In terms of research methodology, secondary data (that are largely ‘quantitative’ in nature) have been used and method of data analysis is descriptive (involving “desk-based research” approach). Data sources have been quoted in the text (including under references). The paper briefly concludes that the rent-seeking activity might be negative, but it might preserve a “growth-enhancing rent”. Even if the rent-seeking activity has a positive value, the “outcome-rent” might be negative. Governments, thus, need to be more transparent in adopting rent-seeking practices; people know how laws and regulations are produced. This renewed critical and multidisciplinary approach has important policy implications for the debates over institutional reform in rent-seeking practices for economies in Asia and the Pacific.In conclusion, the author says that the analysis of rents and rent-seeking practices has been primarily dominated by an economic point of view. This perspective places emphasis on assessing rents in accordance with their impact on “efficiency and economic growth”. As against political approach to rent-seeking (which assumes the negative impact of rents and their potential to derive from corrupt activities), monetary policy experts and economists classify rents as “growth-retarding” (or “growth-enhancing”).In terms of implications of harmful rent-seeking practices for monetary policy, the author of this work argues that the rent-seeking framework has to be extended by incorporating policy insights and strategies developed by stakeholders in the governmental sector and institutional economists if it is to explain the anomalous role played by rent-seeking in Asian countries. This mechanism includes detailed analysis of economy in the broader context in countries such as Thailand, Malaysia, the Philippines, and Indonesia (including the Indian sub-continent).

Joint regression analysis of clustered current status data with latent variables.

Clustered current status data frequently occur in many fields of survival studies. Some potential factors related to the hazards of interest cannot be directly observed but are characterized through multiple correlated observable surrogates. In this article, we propose a joint modeling method for regression analysis of clustered current status data with latent variables and potentially informative cluster sizes. The proposed models consist of a factor analysis model to characterize latent variables through their multiple surrogates and an additive hazards frailty model to investigate covariate effects on the failure time and incorporate intra-cluster correlations. We develop an estimation procedure that combines the expectation-maximization algorithm and the weighted estimating equations. The consistency and asymptotic normality of the proposed estimators are established. The finite-sample performance of the proposed method is assessed via a series of simulation studies. This procedure is applied to analyze clustered current status data from the National Toxicology Program on a tumorigenicity study given by the United States Department of Health and Human Services.

Deep learning-based automated identification on vortex-induced vibration of long suspenders for the suspension bridge

Large amplitude vortex-induced vibration (VIV) of long suspenders, caused by vortex-shedding and wake flow, will decrease the service life of high-strength wires and its anchorage systems, hence listed as an essential monitoring indicator of the structural health monitoring system in the suspension bridges. Traditionally, a static vibration amplitude limitation is usually predefined and used to identify VIV from continuously monitored acceleration data of bridge suspenders. Due to the complexity of the starting vibration of the suspenders, it may not be able to flexibly adapt to the suspenders VIV under different conditions. In addition, transient but significant vibration events may not be captured since it relies only on static vibration amplitude limits without considering the temporal information of vibration. To address the above-mentioned issues, a novel framework to autonomously identify the suspenders VIV is proposed using the multimodal fusion techniques with deep neural networks. The main contributions of the methodology are: i) by calculating the wind field and vibration characteristic, two vibration response parameters are identified as indexes for the identification of suspenders VIV based on the significant difference method of big data analysis; ii) Two different modal information of time history images and power spectral density (PSD) sequences are used as inputs to the convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) to extract the suspenders vibration response features from the time and frequency domain perspectives, respectively; and iii) The multimodal information is concentrated and enhanced by the multi-head attention (MHA) mechanism to achieve automated identification of the suspenders VIV. The proposed framework is validated with data collected from a full-scale long-span suspension bridge in comparison with the base model. The results show that the proposed framework can efficiently identify the full-cycle development process of the suspenders VIV. This study provides a convenient strategy for suspenders VIV identification, which can be used for bridge management and vibration mitigation device design.

Perancangan Bangunan Pengolahan Sampah Terpadu (TPST) di Desa Turirejo Kecamatan Kedamean Kabupaten Gresik

This planning aims to determine the generation of waste, the composition of the waste, the design of the TPST and the Budget Plan in Turirejo Village, Kedamean District, Gresik Regency. The method used to plan this TPST is the method of projection and data analysis. The projection method that will be used in this planning is the Least Square method. The data processing method used is the Slovin method and the Krecjie-Morgan method. Then the design criteria used to plan the design of the TPST in Turirejo Village are guided by the Minister of Public Works of the Republic of Indonesia 2016 concerning the 3R TPS Technical Guidelines. The TPST building consists of an organic waste storage area, an enumeration room, a composting area, a compost warehouse, and an inorganic waste processing area. The Budget Plan required from the TPST development design plan in Turirejo Village is Rp. 677,049,266.

Efficiency Tax Reporting System as Variable Moderation for Digitalization of Tax Compliance

The goal of this research is to examine the impact of tax digitalization, such as e-filling, and e-billing, on the efficiency of individual taxpayer reporting and tax compliance in the 4.0 era. The presence of tax digitalization as a type of tax administration modernization makes it easier for the general public, particularly taxpayers, to carry out their obligation. This study is a quantitative research. This study's variables include one dependent variable, two independent variables and one variabel moderating. The dependent variable is the tax compliance, while the independent variables are the use e-filling, and e-billing and the moderating variables is efficiency of taxpayer reporting. The population in this study is Individual taxpayers in Kuningan Regency, West Java. The samples in this research are 50 respondents that take the questionnaire with Likert scale as the measurement. This study used incidental sampling, with the research instrument being an online questionnaire distributed via social media. The data analysis method in this study uses Moderated Regression Analysis (MRA). According to the findings of this study efficiency tax system has not been proven to moderate the relationship between e-filling and e-billing with the tax compliance.

Causes of Audit Report Lag with Reputation of Audit Firm as a Moderating Variable

Audit report lag is an important problem because it can cause delays in submitting financial reports by companies to the OJK. This study examines the effect of audit opinion, profitability, and company size on audit report lag with Reputation of audit firm as a moderating variable in non-primary consumer goods companies listed on the IDX. The sample used in this study were 78 non-primary consumer goods companies listed on the IDX 2018-2022. The data analysis method used in this research is panel data regression analysis and moderation regression analysis. The results of this study indicate that audit opinion and profitability have a negative effect on audit report lag, while company size has no significant effect on audit report lag. Reputation of audit firm is able to strengthen the effect of profitability on audit report lag and weaken the effect of company size on audit report lag and but is unable to moderate the effect of audit opinion on audit report lag.

Research staff’s experiences of how the COVID-19 pandemic impacted recruitment for a paediatric network study

ABSTRACT Purpose Since the COVID-19 pandemic, a paediatric network study with clinical sites across Canada suffered a reduction in participation. When research studies fail to meet enrolment targets, it can reduce the strength and validity of the results. This study explores research staff’s experiences of how the COVID-19 pandemic impacted recruitment for a paediatric network study. Methods This study was conducted using a qualitative design. Focus group sessions were used to gain the perspective of research staff involved in recruitment and transcripts were analysed using Colaizzi’s seven-step method of data analysis. Results Analysis revealed four major themes: (1) the COVID-19 pandemic had an impact on research activity; (2) families of children with medical complexity perform a risk-benefit assessment when deciding whether to take part in research; (3) a trusting relationship with clinicians is a key factor in research recruitment; and (4) research needs to be flexible in order to adapt to evolving contexts. Conclusion This study identified both COVID-19 and non-COVID-19-related factors that impacted study recruitment for a paediatric network study. Understanding and addressing these challenges will mitigate the negative impacts on health outcomes that can occur when research studies fail to meet enrolment targets.

Boosting Employee Performance: The Roles of Motivation, Work Environment, Discipline, and Communication

The purpose of this research is to examine the influence of work motivation, work environment, work discipline and communication on the performance of PT United Tractors Cakung CGS Division Employees. This type of research is explanatory research. The sampling technique uses salted samples. Data was collected using a survey method using a questionnaire. The data analysis method used is multiple linear regression analysis. The research results show that (1) work motivation has a positive and significant effect on employee performance. (2) The work environment has a positive and significant effect on employee performance. (3) work discipline does not have a significant effect on employee performance. (4) communication has no significant effect on employee performance. (5) work motivation, work environment, work discipline, and communication simultaneously influence employee performance. The managerial implications that can be drawn from these findings are very important for effective human resource management. First, high work motivation can be increased by providing appropriate incentives and encouraging employees to achieve higher targets. Second, a conducive work environment can be created by arranging a comfortable and safe workspace, as well as ensuring good working relationships between employees.

Pengaruh Komite Audit Perempuan, Pengalaman Kerja dan Pendidikan Akuntansi & Keuangan Terhadap Nilai Perusahaan Manufaktur

The Author, 2024. The Influence of Female Audit Committees, Audit Committee Work Experience, and Audit Committee Accounting & Finance Education on the Value of Manufacturing Companies (In Manufacturing Companies Listed on the Indonesia Stock Exchange in 2019-2022). Thesis Department of Accounting, Faculty of Economics and Business, Palangka Raya University. Supervisor: Dr. Fitria Husnatarina, SE., M.Si., Ak., CA and Rini Oktavia, SE., M.Sc. This research aims to explain the influence of female audit committees, audit committee work experience, and audit committee accounting & finance education on company value. This research uses secondary data, the population used in this research is manufacturing companies listed on the Indonesia Stock Exchange in 2019-2022. The sampling technique in this research was using a purposive sampling method. There are 23 manufacturing companies that meet the sample criteria in this research, so the observation data amounts to 92. The data analysis method in this research uses SPSS statistical tools with multiple regression analysis equations. The research results show that: (1) The existence of a female audit committee has an influence on increasing company value significantly; (2) Audit Committee Work Experience has a positive and significant effect on Company Value; and (3) Audit Committee Accounting and Finance Education has a positive and statistically significant relationship to Company Value.

Pengaruh Literasi Keuangan dan Pendapatan terhadap Keputusan Investasi

In this research, carried out with the aim of finding out how financial literacy and income influence investment decisions in UMKM in Muara sabak barat District, East Tanjung Jabung Timur. This research uses a descriptive quantitative method and the data analysis method used is multiple linear regression. The sample used in this research was 30 UMKM. The results of the research show that partially financial literacy has a positive and significant influence on the investment decisions of UMKM actors and income has a significant influence on the investment decisions of UMKM actors. Simultaneously Financial Literacy and Income have a positive and Significant influence on Investment decisions of UMKM players. The resukts of calculating the coefficient of determination show that financial literacy and income on investment decisions have an influence of 55.4% and the remaining 44.6% is influenced by other variables outside this search.