Interactive Data Analysis Research Articles

The Meaning of the Bainai Night Tradition for the Community in Wedding Ceremonies in Jorong Lubuk Gadang Nagari Koto Tangah Koto Balingka District West Pasaman Regency

The malam bainai tradition is one of a series of activities in a marriage ceremony that puts inai on the hands of the bride and groom. In Jorong Lubuk Gadang, Nagari Lubuk Gadang, Koto Balingka District, West Pasaman Regency, the malam bainai tradition is the closing event in a series of weddings. In this tradition, inai is used as a symbol of prayer and hope for the happiness and welfare of the bride and groom in their married life. This study aims to analyze the meaning of the Malam Bainai tradition for the community in the marriage ceremony in Jorong Lubuk Gadang Nagari Koto Tangah, Koto Balingka District, West Pasaman Regency. phenomenological theory proposed by Alfred Schutz, (1961). This research uses a qualitative approach with descriptive type. The technique of withdrawing informants in this study was carried out by purposive sampling technique. Data collection methods were carried out by document study, non-participant observation, in-depth interviews. The data analysis used was interactive data analysis developed by Milles and Huberman (1992). The results of this study indicate that in the process of implementing malam bainai in the marriage ceremony in Jorong The tradition of malam bainai in Jorong Lubuk Gadang has a deep meaning, seen through two concepts of motifs from Alfred Schutz. At the stage of sounding the drum, wearing inai, and eating together, this tradition reflects the meaning of the Objective Motive (in order to motive), because these stages are used as a foothold by the community in undergoing the process to achieve blessing results in a series of events. While the stage of making wages is included in the category of because of motive, because this process is a part that has existed since before in the malam bainai event and cannot be changed, and reflects the deep beliefs inherited from the past by the community. The update in this study is malam bainai as a closing event held at the end of a series of events after the wedding is held.

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 CASE OF “DESAK MADE DARMAWATI” AS A REFLECTION OF LEARNING IN CULTIVATION OF MODERATE PEOPLE IN INDONESIA

Diversity has become a national identity that shows Indonesia's image as a country that respects differences. However, this has also become one of the triggers for conflict of disharmony in the form of cases of religious blasphemy. The “Desak Made Darmawati” case is an example of a religious blasphemy conflict in Indonesia. Through a viral video circulating on social media, he shows himself presenting statements that tend to corner Hindu religious beliefs. Reflecting on these problems, researchers are interested in studying more deeply the implications of the "Desak Made Darmawati" case as a reflection of learning in cultivating moderate people in Indonesia. In this research, several problem formulations were formulated, namely related to the chronology of cases, the urgency of religious moderation in Indonesia, as well as reflections on learning from the "Desak Made Darmawati" case. This research uses a qualitative type of research with a case study approach, followed by using data collection methods, namely library or literature studies, as well as Miles and Huberman's interactive data analysis techniques. The results of this research show that the implementation of religious moderation is still an urgent matter to prevent religious polemics. On this basis, the case of "Desak Made Darmawati" can provide a reflection of learning for religious people to become moderate people, especially from a humanist, religious and legal perspective in Indonesia.

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.

WebTraceSense—A Framework for the Visualization of User Log Interactions

The current surge in the deployment of web applications underscores the need to consider users’ individual preferences in order to enhance their experience. In response to this, an innovative approach is emerging that focuses on the detailed analysis of interaction data captured by web browsers. These data, which includes metrics such as the number of mouse clicks, keystrokes, and navigation patterns, offer insights into user behavior and preferences. By leveraging this information, developers can achieve a higher degree of personalization in web applications, particularly in the context of interactive elements such as online games. This paper presents the WebTraceSense project, which aims to pioneer this approach by developing a framework that encompasses a backend and frontend, advanced visualization modules, a DevOps cycle, and the integration of AI and statistical methods. The backend of this framework will be responsible for securely collecting, storing, and processing vast amounts of interaction data from various websites. The frontend will provide a user-friendly interface that allows developers to easily access and utilize the platform’s capabilities. One of the key components of this framework is the visualization modules, which will enable developers to monitor, analyze, and interpret user interactions in real time, facilitating more informed decisions about user interface design and functionality. Furthermore, the WebTraceSense framework incorporates a DevOps cycle to ensure continuous integration and delivery, thereby promoting agile development practices and enhancing the overall efficiency of the development process. Moreover, the integration of AI methods and statistical techniques will be a cornerstone of this framework. By applying machine learning algorithms and statistical analysis, the platform will not only personalize user experiences based on historical interaction data but also infer new user behaviors and predict future preferences. In order to validate the proposed components, a case study was conducted which demonstrated the usefulness of the WebTraceSense framework in the creation of visualizations based on an existing dataset.

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