Interactive Data Analysis Research Articles

In This Issue: Mixed Methods Systematic Methodological Reviews, Pillar Integration Applications, Mixed Methods Analysis of Video Interaction Data, Intersectional Mixed Methods Research, Mixed Methods Analysis of Witness Statements, and Combining Community-Based Participatory Approaches to Study Neighborhoods

In This Issue: Mixed Methods Systematic Methodological Reviews, Pillar Integration Applications, Mixed Methods Analysis of Video Interaction Data, Intersectional Mixed Methods Research, Mixed Methods Analysis of Witness Statements, and Combining Community-Based Participatory Approaches to Study Neighborhoods

Data reduction for low energy nuclear physics experiments using data frames

Low energy nuclear physics experiments are transitioning towards fully digital data acquisition systems. Realizing the gains in flexibility afforded by these systems relies on equally flexible data reduction techniques. In this paper, methods utilizing data frames and in-memory techniques to work with data, including data from self-triggering, digital data acquisition systems, are discussed within the context of a Python package, sauce. It is shown that data frame operations can encompass common analysis needs and allow interactive data analysis. Two event building techniques, dubbed referenced and referenceless event building, are shown to provide a means to transform raw list mode data into correlated multi-detector events. These techniques are demonstrated in the analysis of two example data sets.

Codebase release 2.0 for sauce

Low energy nuclear physics experiments are transitioning towards fully digital data acquisition systems. Realizing the gains in flexibility afforded by these systems relies on equally flexible data reduction techniques. In this paper, methods utilizing data frames and in-memory techniques to work with data, including data from self-triggering, digital data acquisition systems, are discussed within the context of a Python package, sauce. It is shown that data frame operations can encompass common analysis needs and allow interactive data analysis. Two event building techniques, dubbed referenced and referenceless event building, are shown to provide a means to transform raw list mode data into correlated multi-detector events. These techniques are demonstrated in the analysis of two example data sets.

Analysis of the Need for Interactive Multimedia Development for Second Language Learning in Primary Schools

Nowadays, there are still many students who still have difficulty learning a second language—Indonesian, especially in the city of Yogyakarta. Students still have difficulty mastering the system or rules of the language used and understanding the social rules of using a language. The next problem is that students are less able to interact using a second language. Therefore, this study aims to analyze the need for the development of interactive multimedia for second language learning in elementary school. This research is included in the type of qualitative research. The data sources in this study are students and teachers of grade II elementary school in Yogyakarta City. The data collection techniques used are questionnaires, observations, interviews, and documentation. The instruments used are questionnaires, observation sheets, interview guidelines, and documentation equipment. Meanwhile, the data analysis technique used is the Miles Huberman interactive model data analysis technique which includes data condensation, data display, and conclusion drawing/verification. The findings of this study are that the development of effective and relevant interactive multimedia is needed to facilitate more optimal second language learning in elementary schools. The implication is that the development of interactive multimedia for second language learning in elementary schools is expected to have a positive impact on improving the quality of education and student learning outcomes.

The role of modern digital marketing in modeling of relationships with consumers of goods and services in virtual markets

Subject. The article considers digital marketing modeling as a tool to increase the size of business and the number of potential customers, reduce advertising costs thus increase overall sales. Objectives. The focus is on underpinning the role of modern digital marketing in customer relationship modeling in virtual markets. Methods. The study employs the systems approach, methods of theoretical generalization, comparison, data grouping, synthesis, concretization, and analysis. Results. We offered our own definition of the concept of digital marketing and established its role in the digital economy, presented a bonus card of communication with consumers in virtual markets, demonstrating the main effects that arise in a virtual environment as a result of relationships between sellers and buyers. Our designed model of managing consumer relations in the virtual market includes the main steps for a company to attract and retain customers. Conclusions. Understanding the needs of the audience, developing effective interaction strategies, data analysis, and optimization enable companies to successfully manage customer relationships and achieve high results in the digital environment.

Sherpa: An Open-source Python Fitting Package

We present an overview of Sherpa, an open-source Python project, and discuss its development history, broad design concepts, and capabilities. Sherpa contains powerful tools for combining parametric models into complex expressions that can be fit to data using a variety of statistics and optimization methods. It is easily extensible to include user-defined models, statistics, and optimization methods. It provides a high-level user interface for interactive data analysis, such as within a Jupyter notebook, and it can also be used as a library component, providing fitting and modeling capabilities to an application. We include a few examples of Sherpa applications to multiwavelength astronomical data.

Analisis Kesulitan Belajar Bahasa Indonesia Materi Menentukan Ide Pokok dan Ide Pendukung Pada Siswa Kelas IV Sekolah Dasar

Determining the main idea and supporting ideas of a text is a fundamental reading skill. The ability of students to identify the main idea and supporting details is a key aspect of Indonesian language learning in fourth grade. However, at SDN-11 Palangka, many fourth-grade students—approximately 73%—struggle with identifying the main idea and supporting ideas. Despite being an upper-grade class, these students should be capable of applying reading comprehension skills effectively. This has led researchers to conduct descriptive research aimed at identifying the difficulties, causal factors, and potential solutions to improve the learning of Indonesian. The focus of this study is on determining the main idea in reading texts for fourth-grade students at SDN-11 Palangka. The research employs a descriptive method with a qualitative approach, utilizing an interactive data analysis technique based on the Miles and Huberman model. This process involves data collection, data reduction, data presentation, and conclusion drawing. The data collection methods used in this research include observation, interviews, and documentation. The results indicate that the main difficulty students face in identifying the main idea is their inadequate understanding of the material related to the main idea and supporting details. The cause of these difficulties lies in the students' reading challenges, which include a lack of fluency in reading and insufficient reading comprehension skills.

IMPROVING READING COMPREHENSION ABILITY THROUGH DIFFERENTIATED LEARNING

This research aims to improve the reading comprehension skills of class III A students at SD Muhammadiyah Noyokerten through differentiated learning strategies for the 2022/2023 academic year. This type of research is Collaborative Classroom Action Research. The subjects in this research were class III A students at SD Muhammadiyah Noyokerten, totaling 17 students consisting of 07 male students and 10 female students. This research uses data collection techniques in the form of observation, interviews and tests. The data analysis technique uses qualitative and quantitative methods in the form of interactive data analysis consisting of data reduction, data presentation, and drawing conclusions. Qualitative data was obtained from interviews and observations. Meanwhile, quantitative data was obtained from the results of reading comprehension tests. The results of the implementation of cycle 1 and cycle 2 show that differentiated learning strategies can improve reading comprehension skills, the improvement is shown by 6 students or 35.29% completing the pre-action test. Then cycle 1 was carried out and the result was an increase of 11 students or 64.70%. In cycle 1 the indicators of success had not been achieved and cycle 2 was carried out. The test results in cycle 2 increased to 13 students or 76.47%.

Basic Framework of Apophatic Metaphysics (Negative Theology) Toward Islamic Higher Education System: Analytical Study at Perguruan Tinggi Keagamaan Islam Negeri (Ptkin) In Indonesia

The construction of the metaphysics of divinity that exists in the Islamic higher education system, especially in Perguruan Tinggi Keagamaan Islam Negeri (PTKIN) - in the form of universities) in Indonesia has been finalized and established. It turns out that there was a logic of metaphysics of divinity that was different from the mainstreaming of the established metaphysics, namely metaphysics (apophatic theology). Based on this reality, this study focused on the construction on the concept of apophatic theology that grew and developed in the Islamic higher education system in PTKIN (namely UIN Sumatera Utara, UIN Malang, and UIN Jember). The research problem in this study was how does the construction of apophatic theology in the Islamic higher education system develop at UIN Sumatera utara, UIN Malang, and UIN Jember? In order to analytically answer this question, this study used a qualitative approach with data collection techniques; such as in-depth interviews, participatory observation, and documentation. The data analysis used interactive data analysis from Miles, Hubermann, and Saldana. This study found that apophatic theology was positioned as a discourse of profetization of divine values expressed through a negative style. The theological construction basically "rejects" divine knowledge with the logic of negation and paradox. This apophatic theology in the Islamic higher education system builds an axiological framework that more oriented towards the dimensions of humanity and divinity; or the profane dimension and transcendental.

IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics.

We present IOHexperimenter, the experimentation module of the IOHprofiler project. IOHexperimenter aims at providing an easy-to-use and customizable toolbox for benchmarking iterative optimization heuristics such as local search, evolutionary and genetic algorithms, and Bayesian optimization techniques. IOHexperimenter can be used as a stand-alone tool or as part of a benchmarking pipeline that uses other modules of the IOHprofiler environment. IOHexperimenter provides an efficient interface between optimization problems and their solvers while allowing for granular logging of the optimization process. Its logs are fully compatible with existing tools for interactive data analysis, which significantly speeds up the deployment of a benchmarking pipeline. The main components of IOHexperimenter are the environment to build customized problem suites and the various logging options that allow users to steer the granularity of the data records.

Sangerbox 2: Enhanced functionalities and update for a comprehensive clinical bioinformatics data analysis platform.

In recent years, development in high-throughput sequencing technologies has experienced an increasing application of statistics, pattern recognition, and machine learning in bioinformatics analyses. SangeBox platform to meet different scientific demands. The new version of Sangs is a widely used tool among many researchers, which encourages us to continuously improve the plerBox 2 (http://vip.sangerbox.com) and extends and optimizes the functions of interactive graphics and analysis of clinical bioinformatics data. We introduced novel analytical tools such as random forests and support vector machines, as well as corresponding plotting functions. At the same time, we also optimized the performance of the platform and fixed known problems to allow users to perform data analyses more quickly and efficiently. SangerBox 2 improved the speed of analysis, reduced resource required for computer performance, and provided more analysis methods, greatly promoting the research efficiency.

DDInter 2.0: an enhanced drug interaction resource with expanded data coverage, new interaction types, and improved user interface.

Drug interactions pose significant challenges in clinical practice, potentially leading to adverse drug reactions, reduced efficacy, and even life-threatening consequences. As polypharmacy becomes increasingly common, the risk of harmful drug interactions rises, underscoring the need for comprehensive and user-friendly drug interaction resources to ensure patient safety. To address these concerns and support healthcare professionals in optimizing drug therapy, we present DDInter 2.0, a significantly expanded and enhanced update to our drug interaction database. This new version incorporates additional interaction types, including drug-food interactions (DFIs), drug-disease interactions (DDSIs), and therapeutic duplications, providing a more complete resource for clinical decision-making. The updated database covers 2310 drugs, with 302 516 drug-drug interaction (DDI) records accompanied by 8398 distinct, high-quality mechanism descriptions and management recommendations. DDInter 2.0 also includes 857 DFIs, 8359 DDSIsand 6033 therapeutic duplication records, each supplemented with detailed information and guidance. Furthermore, the enhanced user interface and advanced filtering options in this second release facilitate easy access to and analysis of the comprehensive drug interaction data. By providing healthcare professionals and researchers with a more complete and user-friendly resource, DDInter 2.0 aims to support clinical decision-making and ultimately improve patient outcomes. DDInter 2.0 is freely accessible at https://ddinter2.scbdd.com.

Teacher leadership in developing religious character in Muhammadiyah elementary school

The religious character dimension plays an important role in developing the character of elementary school age children as a whole. Teacher leadership is one variable that can be used to develop the religious character of elementary school age children. This research aims to explore teacher leadership in Muhammadiyah elementary schools in developing students' religious character. Researchers use qualitative research with a case study approach with observation, interviews and documentation as data collection techniques. The research subjects consisted of school principals, teachers and students at SD Muhammadiyah Macanan Sleman. The collected data was analyzed using the Miles & Huberman model of interactive inductive data analysis techniques which includes data collection, data reduction, data presentation and conclusions. To ensure the validity of the data, researchers used triangulation of sources and techniques. The research results show that teacher leadership in developing religious character at SD Muhammadiyah Macanan consists of three aspects, namely personal, team and organizational aspects. The personal aspect of teacher leadership is demonstrated by the ability to guide, mobilize, influence and communicate. The team aspect of teacher leadership is carried out by discussing and providing feedback, improving the quality of learning, training religious character, mentoring activities, and observing students' religious character. The organizational aspect of teacher leadership consists of the role of teachers in supporting school policies and programs, supporting the administrative leadership of the school principal, and efforts to maintain school sustainability. The findings of this research highlight the importance of the role of teacher leadership in developing students' religious character in Muhammadiyah elementary schools.

PINT: Maximum-likelihood Estimation of Pulsar Timing Noise Parameters

PINT is a pure-Python framework for high-precision pulsar timing developed on top of widely used and well-tested Python libraries, supporting both interactive and programmatic data analysis workflows. We present a new frequentist framework within PINT to characterize the single-pulsar noise processes present in pulsar timing data sets. This framework enables parameter estimation for both uncorrelated and correlated noise processes, as well as model comparison between different timing and noise models in a computationally inexpensive way. We demonstrate the efficacy of the new framework by applying it to simulated data sets as well as a real data set of PSR B1855+09. We also describe the new features implemented in PINT since it was first described in the literature.

The Role and Persistence of Islamic Boarding School Teachers

The Indonesian government is responsible for the education of children up to grade nine under the age of 18. The government organizes open junior high schools (SMPT) to educate children who cannot attend due to economic and geographical reasons. SMPT is implemented in disadvantaged areas through Islamic Boarding Schools (PonPes). The role and persistence of teachers at PonPes arehas yet to be discovered and appreciated as professional teachers. This research aims to analyze the role and persistence of Islamic boarding school teachers. This research is a qualitative method with an ethnographic approach. This research aims to determine the role and persistence of teachers at PonPes. Teachers, school officials, school committees, tutors, parents and school principals were involved in this research. The subjects involved in this research as key informants were school principals. Purposive snowball sampling was used to select relevant informants and data sources. Source triangulation and method triangulation were used to validate the data. Data analysis refers to the interactive data analysis model from Milles and Huberman. The research results show that teachers have three roles: character builder, diversity teacher, and encourager of students. The persistence of IBS teachers can be seen from the teachers' efforts to understand the culture and demographic characteristics of students, which can manifest in the form of behaviour as coordinators, administrators and motivators. The research implications show that teachers serve parents and students who need school information.

The Important Role of Village Government in Accelerating Stunting Prevention

Development basically doesn't just talk about infrastructure, but development talks about how to develop people. Stunting is one of the problems in human resource development in Indonesia (Ministry of Health, 2017). This research aims to describe and analyze implementing policies for accelerating Integrated Stunting Prevention in the Pakel District and supporting and inhibiting factors. This research uses a qualitative approach with procedures that can produce descriptive research data. The research location is in Sukoanyar and Suwaluh villages, Pakel District, Tulungagung Regency, using interview data collection techniques, document data and observation. The data analysis technique in this research uses the interactive data analysis technique model from Miles, Huberman, and Saldana (2014). The result of this research is that the accelerated implementation of integrated stunting prevention shows the role of the village government in carrying out convergence in program budget planning and village development activities to support stunting prevention. Government commitment regarding acceleration of stunting prevention. The Suwaluh and Sukoanyar Village governments have implemented Regent Regulation Number 52 of 2019 concerning the acceleration of integrated stunting prevention by directions for the village government in its implementation. Factors that influence the role of village government in accelerating stunting prevention in Pakel District include supporting factors, including communication, resources and bureaucratic structure. Meanwhile, inhibiting factors include education and social and economic aspects.

Performance of Implementation Program Keluarga Harapan in Jember Regency

Public programs must be managed with the aim of achieving desired results. As a poverty alleviation program that has been running in Indonesia, the Program Keluarga Harapan (PKH) has a policy direction not only to ensure that assistance is right on target but also to eradicate poverty with the target result being empowered and prosperous. A study of program implementation performance can describe the failure or success of implementing a policy. This research aims to analyze the performance of the implementation of the PKH in Jember Regency. Analysis using the performance measurement framework by Cole and Parston (2006) includes policy input, processes, policy output, and policy outcome policy. Then, assess the quality of policy output using policy output aspects from Randall B. Ripley including access, coverage, frequency, bias, timeliness of services, accountability, and suitability of programs to needs. The research method used is a descriptive qualitative approach. Data analysis uses interactive data analysis. The research results show that there are weaknesses in the dimensions processes which results in implementation not going well. Validation and Verification Activities for Prospective beneficiaries are carried out by system without going through field verification by facilitator. The beneficiaries Verification activity was not carried out due to the matching of social assistance data with population data and education data. The activity of updating beneficiaries data did not run optimally due to a poor coordination process between facilitator and the Village Government. However, an assessment of the quality of policy output shows high performance. Of the seven aspects reviewed, there were two aspects that showed they were ineffective, namely the bias aspect and the program coverage aspect. The validity of data on beneficiaries is not yet completely good because there are still beneficiaries who are not eligible to receive social assistance, resulting in bias. Program coverage is still minimal in terms of the number of beneficiaries, only around 20% of the existing poor families

Komunikasi Agribisnis Dinas Pertanian Dan Perkebunan Dengan Petani Dalam Pengembangan Kopi Robusta Di Kabupaten Kediri

Regarding the development of robusta coffee, the Kediri Regency Agriculture and Plantation Service (Dispertabun) has been in contact with farmers through Field Extension Officers (PPL). Finding out the model and techniques for agribusiness communication as well as the challenges encountered in implementing Dispertabun's agribusiness communication with farmers to develop robusta coffee in Kediri Regency are the goals to be accomplished. In addition to interactive model data analysis, this study employs a qualitative descriptive methodology (Miles and Huberman). The research findings led to the conclusion that the context of the message being communicated determined the choice of agribusiness communication model. The application of interpersonal (individual) and organizational (group) communication techniques depends on the message's content. It is possible to reduce potential communication obstacles in agriculture. The findings suggest that in order to minimize potential barriers to communication, the Kediri Regency Dispertabun through PPL should continue to maintain appropriate (relevant) communication models and methods. Additionally, keep up the good work in improving agribusiness communication with robusta coffee farmers in order to continue meeting new objectives and targets related to agribusiness communication.

Initiation Of Pancasila Student Profile In Upper Class Cultural Diversity Of Elementary School Students

The purpose of this study was to find out and describe the profile initiation of Pancasila students in the cultural diversity of the upper grades of elementary schools at SD N Demakan 01 Sukoharjo. This research is a qualitative research. This research was conducted at SD N Demakan 01. The determination of informants in this study used a purposive sampling technique. Informants in this study were class IV teachers at SD N Demakan 01 Mojolaban. Data collection techniques in this study are through interviews and documentation. Test its validity using source triangulation technique. Researchers present data using narrative text in the form of interactive data analysis. The results of the study show that the value of diversity or diversity is taught to participants at SD N Demakan 01 Sukoharjo, namely to get used to living in Indonesian society which has a diversity of ethnicities and cultures. Learning activities that can foster a global diversity character at SD N Demakan 01 Sukoharjo include not being picky with friends at school, associating with anyone regardless of religion, ethnicity and race, implementing tolerance, namely teachers and students during group discussions do not blame each other and justifying but respecting differences of opinion when discussing in class, respecting friends at school who are practicing prayer and fasting, studying and preserving cultures from other regions, and efforts to strengthen the climate of diversity in schools through storytelling.

Implementasi Inovasi Program Multiple Intelligences Research (MIR) di Sekolah Dasar Inklusi Ponorogo

The educational tendency in Indonesia to equalize intelligence standards between students through formal tests can kill students' potential intelligence, interests and talents. Minimal awareness of the concept of multiple intelligences (multiple intelligences) educational institutions in Indonesia need more innovative solutions so that efforts to improve the quality of education can be more optimized. The MIR program innovation initiated by Munif Chatib is the right solution so that the concept of different student intelligence can be understood and appreciated as a basis for determining methods and styles in learning activities. The research method used in this research is descriptive qualitative research with a case study type of research (case study). The data collection technique used is an in-depth interview (indepth interview), participatory observation and documentation processed using Miles, Huberman and Saldana's interactive model data analysis technique which consists of four stages in the form of data collection, data condensation, data presentation and data verification. The location of this research was carried out at SD Immersion Ponorogo as a school with branding inclusion. This research aims to analyze the process of spreading MIR program innovation so that it can become a new breakthrough in the world of education to better appreciate and develop students' various intelligences. The research results show that the process of spreading innovation is carried out in line with Everett M Roger's theory of innovation diffusion which consists of innovation, communication channels, time period and social systems as an effective and efficient dissemination strategy. The MIR program is used as a reference for teachers in determining students' learning styles and models at Immersion Elementary School according to their multiple intelligences more effectively and efficiently. The learning styles used include: storry telling, brainstorming, tape recording, journal writing, fieldtrip, and project based learning.