Collection Methods Research Articles

Analysis of Interest in Using Cryptocurrency as a Means of Payment in Indonesia

The purpose of this study is to find out whether cryptocurrencies can be used as a means of payment in Indonesia and also to find out how to grow interest in using cryptocurrencies in Indonesia. This is based on the convenience offered by cryptocurrencies. The research method used is a qualitative research method with a data collection method using semi-structured interview techniques. The data analysis method uses the analysis method according to Miles and Huberman. The results of the study reveal that Indonesia is currently still unable to use cryptocurrency as a means of payment. This is due to several key factors including regulatory unpreparedness and lack of cryptocurrency literacy for the public. The results of the study also revealed that an effective way to increase interest in using cryptocurrencies in Indonesia is to educate about cryptocurrencies and increase financial literacy to the public.

ENHANCING BUSINESS SUSTAINABILITY THROUGH CSR: A CASE STUDY OF "BETTER LIVING IN MALAHING” IN THE PERSPECTIVE OF CARROLL'S PYRAMID

This study examines PT PKT's CSR initiative, "Better Living in Malahing," in relation to business sustainability and its alignment with the Sustainable Development Goals (SDGs). The research underscores the critical role of economic responsibility and profitability in sustaining both social and environmental goals. Using a qualitative case study approach, the study delves into the implementation of the CSR program based on Carroll's Pyramid of responsibilities, encompassing economic, legal, ethical, and philanthropic dimensions. Data collection methods include in-depth interviews, observations, and document analysis. Findings reveal that the program significantly improved the quality of life for coastal communities in Bontang while simultaneously bolstering the company's reputation. Moreover, a strong correlation between corporate social responsibility and sustainable financial performance is identified. The conclusion emphasizes that integrating CSR into core business strategies is crucial for long-term sustainability. This research contributes by illustrating the necessity of well-structured, enduring CSR initiatives in supporting economic, social, and environmental dimensions of corporate operations.

Estimating the Social Visibility of Abortions in Uganda and Ethiopia Using the Game of Contacts.

Social network-based data collection methods that rely on third-party reporting have emerged as a promising approach for measuring abortion in restrictive settings. In order for these methods to accurately measure abortion incidence, they must also assess the visibility of abortions within social networks. Failure to do so may result in estimates affected by transmission bias, caused by imperfect knowledge of all abortions within one's social network. In this paper, we present exploratory research that uses respondent-driven sampling (RDS) and the game of contacts method to measure abortion visibility in four sites in Uganda and Ethiopia. We assess the existence of potential biases in the game of contacts estimate of abortion visibility in each site by conducting several internal and external validity tests. While these tests provided some promising results, other factors such as the representativeness of the RDS samples, direct versus indirect abortion knowledge transfers, and the generalizability of the study sites may have introduced biases into the final estimates of abortion visibility in this study. We conclude by making recommendations on how applications of this methodology could be improved to better estimate abortion-related transmission bias.

Collecting sociodemographic data in primary care: Qualitative interviews in community health centers.

Many primary care organizations do not routinely collect sociodemographic data (SDD) such as race, gender, or income despite the importance of this data in addressing health disparities. To understand the experiences of primary care providers and staff in collecting SDD. A qualitative interview study with 33 primary care and interprofessional team members from eight Ontario Community Health Centres (CHCs). Semi-structured virtual interviews and content analysis of interview transcripts. Participants reported using both formal methods of SDD collection, and informal methods of SDD collection that were more organic, varied, and conducted over time. Participants discussed sometimes feeling uncomfortable collecting this data formally, as well as associated burden and limited resources to support collection. Client-provider rapport was noted as facilitating data collection and participants suggested more training, streamlined data collection, and better communication about purpose and use of data. SDD can be collected informally or formally but there are limitations to informally collected data and barriers to the adoption of formal processes.

Necrotizing Enterocolitis Detection in Premature Infants Using Broadband Optical Spectroscopy.

Necrotizing enterocolitis (NEC) is a devastating disease affecting premature infants. Broadband optical spectroscopy (BOS) is a method of noninvasive optical data collection from intra-abdominal organs in premature infants, offering potential for disease detection. Herein, a novel machine learning approach, iterative principal component analysis (iPCA), is developed to select optimal wavelengths from BOS data collected invivo from neonatal intensive care unit (NICU) patients for NEC classification. Neural network models were trained for classification, with a reduced-feature model distinguishing NEC with an accuracy of 88%, a sensitivity of 89%, and a specificity of 88%. While whole-spectrum models performed the best for accuracy and specificity, a reduced feature model excelled in sensitivity, with minimal cost to other metrics. This research supports the hypothesis that the analysis of human tissue via BOS may permit noninvasive disease detection. Furthermore, a medical device optimized with these models may potentially screen for NEC with as few as seven wavelengths.

Feasibility of snakehead fish hatchery (Channa striata) using a round pond in Labuan Amas Selatan district, Hulu Sungai Tengah regency, Kalimantan Selatan province, Indonesia

<p>This study aims to determine the technicalities and analyze the feasibility of <em>snakehead fish</em> (<em>Chana striata</em>) hatchery using round ponds in Labuan Amas Selatan District. The data collection methods used are observation, interviews, and documentation. The data analysis used is a qualitative descriptive analysis to determine the technical aspects of the fish hatchery, financial analysis to determine the feasibility of the business with profit analysis, Payback Period (PP), Break Event Point (BEP), Net Present Value (NPV), Net Benefit Cost (Net B/C), and Internal Rate of Return (IRR). The study results show that <em>snakehead fish</em> hatchery using round ponds produces <em>snakehead fish</em> seed in 7 cycles in one year; in each cycle, 6–10 pairs of <em>snakehead fish</em> are used, which can be spawned with an average nursery time of 1.5 months. <em>Snakehead fish</em> cultivation techniques include broodstock maintenance, broodstock selection, spawning, larval transfer and maintenance, nursery, harvesting, and marketing. The results of the business feasibility analysis obtained a profit value of IDR 63,465,000/year with a speedy return on investment for 1.64 years, the BEP value of production = 20,742 seed < the production value = 56,000 seed, and the BEP price of IDR 667/seed < the current price = IDR 1,800/seed. The NPV value at the hatchery reached IDR 366,007,925, meaning NPV > 0, Net B/C > 1 value of 4.62, and IRR value of 62.81%, which means it is greater than the current interest rate of 6%. Based on various financial analyses, the <em>snakehead fish</em> hatchery business using round ponds is profitable and feasible.<strong></strong></p>

The Influence of Parental Involvement in Educational Management on The Academic Achievement of Students at SMA IT Al-Izzah

Determining the impact, approaches, and procedures for developing, implementing, and assessing programs that can improve students' academic achievement is the purpose of this study, which is to study the relationship between parental involvement in education management and academic achievement. SMAIT Peradaban Al-Izzah in Sorong City is the objective. This study used a qualitative method based on observation of theoretical relationships. Data collection methods include observation, documentation, and interviews. Positive outcomes of parental participation include higher student achievement due to parental awareness, which considers that parents should support the teachers at school in their efforts to educate their children. As parents are considered to be the ones who know their children best, their efforts to inspire a love of learning in their children through motivational support affect their academic performance. In education management, the responsibilities of the school committee include fostering communication between the community and the school and providing ideas, support, and supervision. Schools can continue to improve academic achievement by collaborating effectively to develop programs that better suit students' needs. To achieve the overarching goal of education, parents must actively participate in their children's education, and all parties in the school must work well together.

Using non-continuous accelerometry to identify cryptic nesting events of Galapagos giant tortoises

BackgroundTriaxial accelerometers have revolutionized wildlife research by providing an unprecedented understanding of the behavior of free-living animals. Machine learning is often applied to acceleration data to classify diverse animal behaviors across taxa. However, the high frequency, continuous data collection typically favored for behavioral classification studies often generates very large data sets, which may inhibit remote data acquisition and make data storage challenging. Coarse-frequency sampling or non-continuous bursts of acceleration data reduce these problems. To analyze such data, a suite of variables that summarize key features of the behavior of interest can be generated. These variables can then be used in numerous classification approaches, accommodating variation in data collection methods or sampling regimes. We demonstrate the potential for non-continuous accelerometer data to identify long-duration behavior and employ machine learning to classify the nesting behaviors of the critically endangered eastern Santa Cruz giant tortoise (Chelonoidis donfaustoi).ResultsWe field validated 112 nesting events from 21 giant tortoises. We then derived summary statistics based on accelerometry (e.g., overall dynamic body acceleration, metrics comparing acceleration before and after the probable event) and used them as inputs for Random Forest and Boosted Regression Tree classification algorithms. Our models produced a harmonic mean of precision and sensitivity (F1-score) of 0.91. We tested the generality of our model and found that the model performs well when applied to both novel individuals and years. The most important variable in accurately classifying data sequences was the proportion of acceleration data bursts above an activity threshold followed by the average overall dynamic body acceleration value of the bursts.ConclusionsThese results demonstrate the feasibility and efficacy of using non-continuous accelerometer data to identify prolonged, biologically relevant behaviors in free-living wildlife. By using summary variables that do not require continuous sampling, this approach facilitates long-term monitoring of animal behavior. Similar methodology has potential to inform priority questions in ecology and conservation, such as predicting wildlife responses to climate change and identifying critical habitats, with applications across diverse species and behaviors.

Implementation of Good Governance as An Acceleration of Public Services at The Village Level

The slow administrative process, lack of public participation in decision-making, and low transparency and accountability in public financial management are the main problems in public services in Sungai Limau Village, Pusako District, Siak Regency. One of the efforts to improve the service system that still faces various challenges is through the implementation of good governance. This study aims to examine the implementation of good governance in public services in Sungai Limau Village, Pusako District, Siak Regency. This study uses the Focus Group Discussion (FGD) research method. The data collection method in this study involves a review of literature. After the data is collected, the analysis is carried out by filtering relevant data, presenting the data, and finally making conclusions. The findings of the study indicate that the application of good governance principles can accelerate public services at the village level, as seen in Sungai Limau Village, Pusako District, Siak Regency. Therefore, the recommendation that can be taken from this finding is the importance of implementing good governance principles consistently to enhance the standard of public services and boost community engagement and satisfaction.

Elimination of dead layer in silicon particle detectors via induced electric field based charge collection

The front surface of semiconductor particle detectors typically contains undepleted recombination active regions that the impinging particles pass through before reaching the sensitive area of the device. These so-called dead layers pose a fundamental limitation for achievable energy resolutions and are unavoidable in externally doped pn-junction detectors. Here, we fabricate a silicon particle detector using an alternative method for charge collection that extends the sensitive region to the front surface of the device and minimizes the dead layer. The junction is realized by inducing an electric field at the surface of the detector using a charged thin film. Such an approach has previously been implemented in photodiodes, which have demonstrated effective collection of charge carriers from the very surface of the devices. Our detector displays low leakage currents and recombination, which allow efficient charge collection throughout the device, as demonstrated by excellent internal quantum efficiency of the device. The detector is further characterized using detection of alpha particles as a case example. We achieve 20 keV energy resolutions that are, already without extensive device optimization, on the same level with commercial externally doped silicon particle detectors. Notably, the design shows promise for detection of shallow penetrating charged particles, which is very sensitive to dead layers.

Model of Policy Network in Advocacy for the Formulation of Qanun Draft on Protection and Fulfillment of the Rights of People with Disabilities

This study aims to analyze the interaction and interdependence of policy networks, identify inhibiting and supporting factors, and formulate an effective policy network model in the formulation of the Qanun for the protection and fulfillment of the rights of persons with disabilities in North Aceh Regency. A qualitative approach was used in this study, with data collection methods including in-depth interviews, focus group discussions (FGD), observations, and document studies.The results of the study indicate that the interaction and interdependence among actors in the policy network in North Aceh Regency are still not optimal. The involved actors often work separately without adequate coordination, and differences in interests and priorities hinder the achievement of common goals. The main inhibiting factors include a lack of resources, differences in interests among actors, and low public awareness of the rights of persons with disabilities. On the other hand, supporting factors include the commitment of the local government, support from NGOs, and initiatives from the community of persons with disabilities.An effective policy network model includes enhancing coordination among actors, establishing regular communication forums, strengthening the capacity of involved actors, and active participation from the community of persons with disabilities. By implementing this model, it is expected that the formulation of the Qanun for the protection and fulfillment of the rights of persons with disabilities in North Aceh Regency can proceed more effectively and inclusively.

Air DNA forensics: Novel air collection method investigations for human DNA identification.

Modern techniques can generate highly discriminatory DNA profiles from minuscule biological samples, providing valuable information in criminal investigations and court proceedings. However, trace and touch DNA samples, due to their nature, often have lower success rates than other biological materials, such as blood. Further, forensically aware criminals can utilize gloves and meticulously clean the crime scene to remove DNA traces of themselves from contacted surfaces. Air sampling offers a novel approach to the collection of human DNA that has the potential to bypass some of these issues. This study reports on the results of research into the prevalence and persistence of human DNA in the air. The ability to collect human DNA from the air was investigated with the use of an AirPrep Cub Sampler ACD220 in different spaces, with and without the presence of individuals for various durations of sample collection. Results of this study demonstrate that level of occupation and sampling duration each have an influence on quantity and quality of DNA recovered from the air whereas the effects of orientation and distance of participants from the collection device as well as sequence of occupation remain unclear and require further investigation.

Analisis prosedur inventarisasi Barang Milik Daerah (BMD) berdasarkan Permendagri Nomor 47 Tahun 2021 (Studi kasus Dinas Sosial Daerah Provinsi Sulawesi Utara)

Inventory of Regional Property (BMD) is an important process in managing regional assets. Inventory activities to collect data, record, and report the results of data collection of Regional Property. This study aims to determine the implementation of the Regional Property Inventory Procedure based on Permendagri Number 47 of 2021 at the Regional Social Service of North Sulawesi Province. This type of research is qualitative research with a case study approach. Data collection methods through interviews, observation, and documentation. The data analysis process is carried out by collecting data which is then grouped and then analyzed and described. The results of this study indicate that the Regional Property inventory procedure carried out at the Regional Social Service of North Sulawesi Province is in accordance with Permendagri Number 47 of 2021 concerning Procedures for Implementing, Bookkeeping, Inventory, and Reporting Regional Property. However, there are still obstacles where the implementation of E-BMD is still not optimal so that it does not accommodate the entire implementation of the inventory of Regional Property at the Regional Social Service of North Sulawesi Province.

PENGARUH GOOD CORPORATE GOVERNANCE, KONSERVATISME AKUNTANSI DAN UKURAN PERUSAHAAN TERHADAP MANAJEMEN LABA (Studi Empiris Pada Perusahaan Sektor Properti Yang Terdaftar Di Bursa Efek Indonesia Tahun 2018-2022)

This study aims to analyze the effect of Good Corporate Governance, accounting conservatism, and company size on earnings management (empirical study of property sector companies listed on the Indonesia Stock Exchange 2018-2022). This research method is quantitative. The object of this research is the annual report and audit report of Real Estate and property companies listed on the Indonesia Stock Exchange (IDX) for 2018-2022. The sampling method of this research is purposive sampling, with techniques based on judgment sampling considerations. The data used in this study are secondary. The data collection method is the documentation method. The analytical tool used in this research is multiple regression analysis with the help of the IBM Statistical Package for Sciences (SPSS) program version 26. The result of this study is that Good Corporate Governance has no significant effect on earnings management. Accounting conservatism hurts earnings management. Company size does not affect earnings management.

Empowering Charactered Education: The Impact of Educational Management on Islamic Guidance and Counseling for Vocational High School Students

This research aims to analyse the role of educational management in field of Islamic guidance and counselling in creating character education for students at SMKN 1 Praya. The subjects in this study were school principals, educators, and education staff. While the object used is several students. The approach is qualitative, using a qualitative design and data collection methods including documentation, interviews, and observation. The steps of data reduction, data presentation, and conclusion-drawing were all included in the interactive model developed by Miles, Huberman, and Saldana for the analysis of the data. The findings indicate that the planning for guidance and counseling services is spot on, that the implementation of the services is carried out by guidance and counseling teachers in accordance with the plan because they are aware of their responsibilities, and that the implementation of the services is program-based. However, certain programs cannot be carried out effectively. It is not ideal for the principals to oversee the guidance and counseling services program. Since character education is not offered in every subject at every educational institution, this study differs from earlier studies in the field. The study's findings can serve as a guide for character development in all educational settings, particularly when it comes to practically integrating character education into all subjects and extracurricular activities

The Role of Mediation in the Settlement of Family Disputes in Kazakhstan: A Sociological Study

The study aimed to examine the importance and necessity of using mediation in resolving family disputes in Kazakhstan. From February to August 2020, a sociological study was conducted in Kazakhstan to identify the main causes of modern family problems, the functions of mediation and mediators in dispute resolution. The study involved 1,200 respondents. Data collection methods included both quantitative and qualitative approaches. The study was based on a survey of respondents in major cities of Kazakhstan. The study showed that factors such as lack of love and understanding, financial difficulties, and interference from relatives contribute to the escalation of family disputes leading to breakups. It also confirmed the important role of mediators in reaching appropriate and effective solutions, emphasizing the need to strengthen mediator training, legislative support for free mediation services for vulnerable groups, guaranteed payment for mediation services, and promotion of mediation through local media and service centers.

Protocol development and feasibility of the PEACH in Asia study: A pilot study on PEri-anesthetic morbidity in CHildren in Asia.

Comprehensive data on pediatric anesthesia outcomes, particularly severe critical events (SCEs), are scarce in Asia. This highlights the need for standardized research to assess anesthesia safety and quality in the diverse settings. The PEACH in Asia pilot study aimed to test the feasibility of a standardized protocol for investigating SCEs in anesthesia practices across Asia, evaluate the data acquisition processes, and determine the sample size for a main study. This multicenter pilot study involved ten institutions across nine Asian countries, including children from birth to 15 years undergoing diagnostic or surgical procedures. Data on SCEs were collected using standardized definitions. The study assessed the feasibility and estimated the sample size needed for the main study. The pilot study enrolled 330 patients, with a SCE incidence of 12.4% (95% CI: 9.2-16.4%). Respiratory events were observed in 7.0% of cases, cardiovascular instability in 4.9%, and drug errors in 0.6%. Based on the SCE incidence observed in the pilot study, the estimated sample size required for the main study is at least 10 958 patients. The pilot study demonstrated the feasibility of the study protocol but identified several challenges, particularly in resource-limited settings. These challenges included a significant burden associated with data collection, technical issues with electronic case report forms (e-CRFs), variability in patient enrollment across institutions (ranging from 4 to 86 patients per site), and incomplete data acquisition (24.8% of height data and 9.7% of disposition data were missing). The PEACH in Asia pilot study successfully validated a protocol for investigating SCEs in pediatric anesthesia across Asia. Addressing the challenges identified in the pilot study will be crucial for generating robust data to improve pediatric anesthesia safety in the region. Key issues to address include improving data collection methods, resolving e-CRF technical difficulties, and ensuring consistent institutional support.

QuadTPat: Quadruple Transition Pattern-based explainable feature engineering model for stress detection using EEG signals

The most cost-effective data collection method is electroencephalography (EEG), which obtains meaningful information about the brain. Therefore, EEG signal processing is crucial for neuroscience and machine learning (ML). Therefore, a new EEG stress dataset has been collected, and an explainable feature engineering (XFE) model has been proposed using the Directed Lobish (DLob) symbolic language. The first phase of this research is the data collection phase, and an EEG stress dataset was gathered from 310 participants. This collected stress dataset contains two classes: (i) stress and (ii) control. An XFE model has been presented to detect stress automatically. The presented XFE model has four main phases, and these are (i) channel transformer and quadruple transition pattern (QuadTPat)-based feature generation, (ii) feature selection deploying cumulative weighted neighborhood component analysis (CWNCA), (iii) explainable results creation with DLob and (iv) classification with t algorithm-based k-nearest neighbors (tkNN) classifier. The proposed XFE model generates a DLob string, and the explainable results were obtained using this string. Moreover, the presented XFE model attained 92.95% and 73.63% classification accuracy, deploying 10-fold and leave-one subject-out (LOSO) cross-validations (CV). According to the classification performances, the recommended QuadTPat-based XFE is a good model for EEG signal classification. Also, the presented QuadTPat-based XFE model is a good model for explainable artificial intelligence (XAI) since TTPat-based XFE is cooperating with the DLob.

God's word for gen alpha: the use of Multimethods to attract interest in the Indonesian Bethel Church in the city of Madya Bogor, West Java

The church is the center of Christian education in teaching God's word. Through the study of God's words, leaders educate and mature God's people. Therefore, the essence of the church is to provide good Word education, especially among the Alpha generation. The alpha generation, which is growing in the midst of the development of extraordinary information flows, needs to protect its faith from the hedonistic and secular lifestyle of this century. However, in the reality of church ministry that is found today, it turns out that the alpha generation is less interested in learning the Word. A more innovative approach is needed to increase the interest of the alpha generation in learning the word. Based on the above background, the researcher intends to conduct research on the use of Multimethods to increase interest in learning God's word of the alpha generation. This research was held considering the importance of the use of Multimethods which is suspected to be still rarely used in the study of God's Word in the Sunday school of the Indonesian Bethel Church synod in Bogor. From the results of the researchers' observations, it was found that the lack of interest in learning the Word of God was influenced by several factors, which consisted of: the learning process was less interesting, so that it caused a feeling of boredom; and Second, the use of teaching methods that are less varied. Therefore, this study was conducted with the aim of examining how much direct influence the use of Multimethods in teaching God's word on the learning interest of the Alpha generation in the Indonesian Bethel Church in the Municipality of Bogor. This research was conducted using a quantitative approach, using path analysis and survey research methods. The data collection methods used are questionnaires and documentation. This study involved 86 respondents from 102 Sunday school teachers of the Indonesian Bethel Church in the Municipality of Bogor, West Java, using the Krejcie and Morgan formulas. From the results of the study, it was found that: Variable Multimethods has an indirect influence in explaining the variable of Interest in Learning God's Word through Learning Media. The indirect influence of Multimethods on the Interest in Learning God's Word through Learning Media was 64.3%, while the remaining 35.7% was influenced by other factors that were not spoken in the study (epsilon).

The Principal's Strategy in Implementing the Value of Religious Moderation in the Pancasila Student Profile Strengthening Project

The issue of intolerance and radicalism among students must be taken seriously by school principals, who play a crucial role in managing the learning process, including in the P5 program. This research analyses the principal’s strategy in implementing the value of religious moderation in P5 and its implications for student character and school culture. This study is a qualitative research project using a case study method. Data collection methods included interviews, observations, and documentation, and the data were analyzed through reduction, presentation, and conclusion. Data verification was achieved through triangulation of sources and methods. The research results show that the principal's strategy for implementing the value of religious moderation in P5 involves three main approaches: process, program, and culture strategies. The process strategy includes planning, implementation, evaluation, and follow-up. The program strategy encompasses structuring P5 activities based on teamwork and partnerships with external parties. Meanwhile, the cultural strategy utilizes habituation activities to support the values and meaning of moderation within P5. The strategy implemented has had implications for student character, fostering awareness, tolerance, care, love for the country, and teamwork. Additionally, they have promoted a disciplined and collaborative school culture.