Data Reduction Research Articles

The Role of Amicus Curiae in Influencing The Confidence of Judges in The Supreme Court and Constitutional Court

Recently, the topic of Amicu Curiae has become a hot topic of discussion among the legal observer community. On the one hand, the Amicus Curiae is of the opinion that it can significantly influence the judge's confidence, but on the other hand, it is of the opinion that the Amicus Curiae cannot influence it because there are other factors that influence it, namely the facts of the trial. This research is qualitative research with a descriptive approach, namely describing Amicus Curiae, its history, meaning, and its role in influencing judges' beliefs. The data used in this research is secondary data that researchers obtained from statutory regulations, books, scientific articles, and other things that are usually used in qualitative research. These data were analyzed using the stages of data collection, data selection, data reduction, data analysis, and drawing conclusions. The result in this article show that the position of Amicus Curiae is only limited to opinions from scientific articles and opinions scattered on social media. The difference is that this specification is addressed to the Constitutional Court judges before making a decision. However, specifically personally, this could influence the judge's psychology to remind him of things that happened in the trial and carefully pay attention to the two different perspectives. Amicus Curiae also consists of various types of varied sentences. If it is related to the decision of the Constitutional Court in resolving disputes over the results of the 2024 Presidential and Vice Presidential General Election, there are things that are different compared to the decision on resolving disputes over the results of the previous year's Presidential and Vice Presidential General Election, where there are 3 judges who took dissenting opinion decisions compared to five other judges. . It is possible that this difference is caused by one of the factors due to the existence of the 24 Amicus Curiae.

Local fuzzy rough attribute reduction for large-scale mixed data with limited missing labels based on local fuzzy self information

The advent of the era of big data is accompanied by the generation of large-scale data of various types. Extracting the potential value and rules from such data has always been a challenge. Due to various external and internal factors, it is commonplace for large-scale data to exhibit the phenomenon of missing limited labels. In addressing a large-scale mixed information system with limited label missing (LSMDISLML), local neighborhood rough set model (LNRS-model) is typically employed. However, the identical neighborhood radius is often used by such model when confronted with numerical attributes, which could potentially attenuate the classification capability of the data. Local fuzzy rough set model (LFRS-model) can overcome this point. This paper studies local fuzzy rough attribute reduction for large-scale mixed data with limited missing labels based on LFRS-model via local fuzzy self information and overlap degree function. First, leveraging the statistical distribution of data as a foundation, fuzzy relations on the entire sample set are established, which has the advantage of being able to use different fuzzy similarity radii to calculate similarity, thereby adapting to different data distributions. Subsequently, the samples with missing labels are discarded as they constitute a small proportion of the entire sample set and have little impact on overall performance of dataset. The limited computing resources and storage space are focused on the sample set with complete labels (denoted as target set). Thereafter, based on the target set, local fuzzy λ-upper and lower approximations are defined, and LFRS-model is constructed. This model not only reduces processing time and sources of error in large-scale data but also improves data quality and enhances the reliability of the experimental results. Then, local fuzzy λ-self information is introduced and used to design a local fuzzy rough attribute reduction algorithm in a LSMDISLML. Furthermore, a overlap degree function is introduced to evaluate and reorder the attributes based on their importance, prioritizing the elimination of redundant attributes with high overlap and low importance from the preordered attribute set. This strategy effectively improves the efficiency of obtaining the optimal subset. Finally, a series of experiments are carried out. The experiment results demonstrate that the designed algorithm exhibits excellent performance in classification tasks and outlier detection tasks, surpassing existing four algorithms.

Peran Guru IPS dalam Menanamkan Nilai Karakter Disiplin dan Tanggung Jawab Siswa di SMP Negeri 1 Kunjang Kediri

One of the most important aspects of formal and informal education in educational institutions is character education. Two types of character that should be formed are discipline and responsibility. Possession of discipline and responsibility are highly valued qualities, as character plays an important role in one's daily social interactions. Helping, grouping, and socializing are all included in it. Character development throughout human life as a whole is closely linked to the process of learning and self-formation. Character development can be achieved in the context of family, school, and the environment, which includes communities and groups. The objectives of this study are to (1) describe the teacher's approach in teaching social studies class VIII SMP Negeri 1 Kunjang Kediri that instills the character values of discipline and responsibility. (2) Determine what motivates and what hinders educators to foster the character values of discipline and responsibility in their students through social studies learning in class VIII A of SMP Negeri 1 Kunjang Kediri. (3) To find out the results of social studies learning techniques used to build character values of discipline and responsibility in students of class VIII A SMP Negeri 1 Kunjang Kediri. A descriptive qualitative approach was used in this study. In collecting data, the methods used were observation, interviews, and documentation. The Miles and Huberman approach was used in the design of this research, which used descriptive analysis techniques through three stages: data reduction, data display, and conclusion drawing. Triangulation of data sources was used in assessing the validity of the data. The teachers and students of SMP Negeri 1 Kunjang Kediri became the research subjects. Based on the data analysis, the following conclusions were obtained: 1) Motivation and exemplary teachers, active involvement of students in learning, self-habituation, and sanctioning violations are strategies used by social studies teachers at SMP Negeri 1 Kunjang Kediri, 2) Strong motivation, family support, school regulations, and the environment are the driving factors faced by social studies teachers at SMP Negeri 1 Kunjang Kediri in instilling the character values of discipline and responsibility to students. Meanwhile, the unsupportive atmosphere and students' lack of willingness to learn make them less effective learners are the inhibiting factors. In this case, the teacher's duties have been carried out in accordance with their responsibilities as educators, motivators, mentors, and assessors. 3) The results of the social studies teacher's strategy in the implementation of cultivating the character of discipline and responsibility for students in grade VIII through motivating activities, students become enthusiastic in discipline and responsibility for the mandate carried out, namely as students. Through exemplary, students have successfully applied and instilled forms of discipline and responsibility in terms of dress, time, and duties through their active participation in classroom learning. This is indicated by students' active participation in discussions, students' activeness in completing and collecting assignments given by the teacher, students' enthusiasm for learning that is always high, self-habituation that has been applied by social studies teachers, the ability of social studies teachers to train students to be more disciplined and responsible in terms of worship, students' habits to help others and parents, and the appearance of disciplined and responsible students, by making efforts to impose sanctions on students who commit violations so that they do not repeat them again and encourage them to be more aware of their obligations as students.

MABBAKANG TRADITION (Case Study of Local Cultural Values in the Pange Community, Mattappawalie Village, Barru Regency)

This study aimed to determine the public perception of the mabbakang tradition in Pange, Mattappawalie Village, Barru Regency. This type of research is a qualitative case study type using purposive sampling to determine research informants. The techniques in data collection are observation, interviews, and documentation. With data analysis techniques through data collection, data reduction, data presentation and concluding. The results of this study are the perception of the Pange community regarding the mabbakang tradition, namely (a) the mabbakang tradition as a tradition of giving honey or maccani; (b) the mabbakang tradition as a tradition of warding off disaster.

Gambaran Adiksi, Pola Asuh, dan Attachment Style pada Mantan Pecandu Sabu-Sabu di Kota X

The purpose of this study is to explore and understand the experiences of former methamphetamine addicts in rehabilitation centers. The method used method used is qualitative with a case study approach. Subject A who is 28 years old and is undergoing the rehabilitation process in one of the rehabilitation houses in X City participated as a subject. Data collection over five weeks involved interviews and observations. Data analysis involved data reduction, presentation, and conclusion drawing, with validity checks using triangulation. Interviews revealed psychological dynamics, avoidant attachment style, and permissive-indulgent parenting. Subject shared his journey of addiction to methamphetamine, including emotional changes, antisocial behavior, and the impact on his family relationships. This study provides an understanding of the experiences of former methamphetamine addicts and can help design rehabilitation programs that are more suited to individual characteristics, especially for those with avoidant attachment style

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.

Social Penetration Analysis in Self-Disclosure of Online Loan Application Users to Their Partners

Abstract: This study aims to analyze the disclosure of online loan users to their partners through social penetration theory. Information technology-based money lending services are one of the innovations in the financial sector, utilizing technology to facilitate lending transactions without meeting in person. This transaction mechanism is carried out through a system provided by the Fintech Lending Organizer, either through an application or a website. Several problems arise because of the characteristics of online loans that often terrorize and intimidate people close to them without asking permission. This study is descriptive, using data collection techniques on ten pairs of online loan informants with their partners. Data analysis was carried out using interactive techniques involving interactions between data collection, data reduction, data presentation, and conclusions. Based on the social penetration analysis, five pairs of informants decided to separate/divorce, while five pairs did not divorce. The five pairs of informants who did not divorce were at stages 3 (affective exchange) and 4 (stable exchange). The five pairs who divorced were at stage 2 (exploration of affective exchange), which decreased the development of their relationship to deterioration. Couples who eventually divorce receive negative Feedback from their partners in the form of anger, annoyance, and regret. The perpetrators decide to get involved in online loans without discussing it with their partners but also have no desire to discuss it. The perpetrators' mindset, household economic problems, characteristics of online loans, and skills in communicating issues to their partners color the couple's interactions towards the end of the relationship. On the other hand, supportive Feedback, personality, and gender of the partner are factors that influence self-disclosure.

Three‐Way Data Reduction Based on Essential Information

ABSTRACTIn this article, the idea of essential information‐based compression is extended to trilinear datasets. This basically boils down to identifying and labelling the essential rows (ERs), columns (ECs) and tubes (ETs) of such three‐dimensional datasets that allow by themselves to reconstruct in a linear way the entire space of the original measurements. ERs, ECs and ETs can be determined by exploiting convex geometry computational approaches such as convex hull or convex polytope estimations and can be used to generate a reduced version of the data at hand. These compressed data and their uncompressed counterpart share the same multilinear properties and their factorisation (carried out by means of, for example, parallel factor analysis–alternating least squares [PARAFAC‐ALS]) yield, in principle, indistinguishable results. More in detail, an algorithm for the assessment and extraction of the essential information encoded in trilinear data structures is here proposed. Its performance was evaluated in both real‐world and simulated scenarios which permitted to highlight the benefits that this novel data reduction strategy can bring in domains like multiway fluorescence spectroscopy and imaging.

Raw Material Management Strategy in The Production Process of Tos-Tos Tortilla Chips (Case Study at PT Dua Kelinci)

PT Dua Kelinci is a company based in Pati that operates in the food industry. The purpose of this study is to analyze the raw material management strategy in the production process within PT Dua Kelinci’s Tos-tos Tortilla Chips division. The focus of this study is the role of the production supervisor in managing raw materials and ensuring efficient processes. This study employed a qualitative descriptive method, utilizing primary data collected through interviews. The data was then analyzed through data reduction, data presentation, and conclusion drawing. The findings of the study indicate that PT Dua Kelinci implements its raw material management strategy by (1) following a production process in accordance with work guidelines that outline monthly food orders, (2) recording input and output materials for accurate tracking, and (3) sourcing materials based on the quantity and variety of food orders, ensuring timely procurement of required flavors. This approach ensures a smooth production process, helps maintain product quality, and fulfills customer demands. Efficient management of raw materials not only reduces the likelihood of production delays but also ensures operational stability and cost control. The study concludes that strategic raw material management is essential for sustaining production efficiency and product quality at PT Dua Kelinci.

Awareness Ayah atas Perkembangan Agama Anak 5-6 Tahun di Kalangan Nelayan Pulau Jinato Selayar

This study aims to understand the form of father's attention, inhibiting and supporting factors, and the impact of father's awareness on children's religious development. The research method used is qualitative descriptive. Primary data was obtained from interviews with fishermen's fathers, while secondary data came from village profiles, journals, and related documents. Data analysis is carried out through data reduction, coding, presentation, and drawing conclusions. The results showed variations in the form of fatherly attention. There are fathers who pay great attention to the development of children's religion, but there are also those who leave it completely to the mother or teacher. Factors that inhibit father's consciousness include a lack of time and religious knowledge, while the supporting factors are the role of teachers and the existence of Islamic boarding schools. The impact of the father's lack of awareness is the lack of religious stimulation in the child. This study concludes the importance of education for fisherman fathers about the importance of providing religious education to early childhood. The implication of this research is the need for educational programs for educators and further research on the introduction of monotheism in early childhood. This research also provides a comprehensive overview of the situation on the ground and provides recommendations to improve the quality of religious education for children on Jinato Island

Penerapan Model Pembelajaran Problem Based Learning Pokok Bahasan Permutasi Untuk Meningkatkan Kemampuan Pemecahan Masalah Siswa Kelas XI TPM 2 Di SMK Negeri 1 Madiun

This research aims to determine the increase in mathematical problem solving abilities in permutation material through the problem based learning (PBL) learning model. This research is classroom action research (PTK) with research subjects being students of class XI TPM 2 SMK Negeri 1 Madiun, totaling 34 students. In this research, the instruments used were problem-solving ability tests and observation sheets. In this research there are two cycles, where each cycle consists of planning, implementation, observation and reflection which follows the Lewin model procedure. In this study, the minimum learning completeness obtained was >75%. The analysis technique used in this research is descriptive qualitative which is adapted to the Hiles and Huberman technique, including data collection, data reduction, drawing conclusions and verification. The results of this research show that there is an increase in problem solving abilities using the problem based learning (PBL) learning model. This can be seen from the number of students who have achieved the very good problem solving ability category, namely 15.63% in the pre-cycle, then increasing to 25 % in cycle 1, and then increased in cycle 2, namely 53%, and in cycle 2 learning completion had reached 84.38%.

A tied-weight autoencoder for the linear dimensionality reduction of sample data

Dimensionality reduction is a method used in machine learning and data science to reduce the dimensions in a dataset. While linear methods are generally less effective at dimensionality reduction than nonlinear methods, they can provide a linear relationship between the original data and the dimensionality-reduced representation, leading to better interpretability. In this research, we present a tied-weight autoencoder as a dimensionality reduction model with the merit of both linear and nonlinear methods. Although the tied-weight autoencoder is a nonlinear dimensionality reduction model, we approximate it to function as a linear model. This is achieved by removing the hidden layer units that are largely inactivated by the input data, while preserving the model’s effectiveness. We evaluate the proposed model by comparing its performance with other linear and nonlinear models using benchmark datasets. Our results show that the proposed model performs comparably to the nonlinear model of a similar autoencoder structure to the proposed model. More importantly, we show that the proposed model outperforms the linear models in various metrics, including the mean square error, data reconstruction, and the classification of low-dimensional projections of the input data. Thus, our study provides general recommendations for best practices in dimensionality reduction.

Pelaksanaan Layanan Administrasi Kesiswaan di MAN 2 Palembang

This research is titled "Implementation of Student Administrative Services at MAN 2 Palembang." The aim of this study is to analyze how the implementation of student administrative services is carried out at MAN 2 Palembang. This research is a field study, employing a qualitative descriptive approach. Data collection techniques include observation, interviews, and documentation. Data analysis techniques consist of data reduction, data presentation, data verification, and drawing conclusions. The validity of the research data is ensured through source triangulation and technique triangulation. The results of the study indicate that the implementation of student administrative services at MAN 2 Palembang is well underway. The research findings demonstrate that student administrative services at MAN 2 Palembang are effectively executed, encompassing aspects such as effective guidance in the admission of new students, student discipline regulation, guidance and counseling documentation, as well as student learning progress recording. Effective guidance assists students in understanding the process of new student admission clearly, ensuring their comprehension without difficulty, setting clear objectives, and planning strategies to achieve them. Student discipline regulations ensure discipline and responsibility among students, while guidance and counseling documentation provide appropriate guidance and support. Recording student learning progress serves to provide a comprehensive overview of student development and aid them in their educational journey at MAN 2 Palembang.

Efficient algorithm for thermal nondestructive testing and evaluation by considering the heteroscedastic nature of noise sources in infrared thermography

Abstract Thermal Imaging is a promising Non Destructive Testing & Evaluation (NDT & E) approach to monitor the health of composite materials. Among various post processing approaches adopted in thermal imaging for NDT & E, statistical analysis schemes gained importance due to their reliability and data reduction capabilities. This paper provides an insight to a factor analysis-based statistical approach to detect the hidden defects in the Glass Fiber Reinforced Polymer (GFRP) sample. The proposed approach models the observed data covariance into combination of temporal signal covariance and noise covariance matrices. The modeling of the diagonal covariance matrix (with different elements) is motivated by the presence of heterogeneity in the experimental data obtained from GFRP sample.This novel method is based on the coordinate descent technique, which estimates the covariance matrix of the noise variances iteratively by minimizing the negative log likelihood function. The obtained results from the chosen GFRP samples compared with the widely used statistical Principal Component Thermography (PCT) technique illustrate the improved performance in terms of defect detection with the proposed technique.

Project Based Learning to Improve the Learning of English Writing Skill Among Students of XI TKJ 1 Class at SMK Politeknik YP3i Banyumas (A Classroom Action Research at XI Graders of SMK Politeknik YP3i Banyumas in Academic Year 2024/2025)

This research was aimed to enhance the learning of students’ Narrative genre writing skill at SMK Politeknik YP3i Banyumas by using Canva as a technology through Project Based Learning (PJBL) as the instructional media and approach. This research was a classroom action research carried out in two cycles and each cycle had three meetings with the steps of the research consisting of planning, action, observation and reflection. The subjects were 36 students of XI TKJ 1. The data were collected by observing the instructional process, conducting a pre-test and a post-test, conducting an interview, and taking photographs. The instruments for collecting the data were observation checklists, answer sheet, and interview guides. The data were analyzed qualitatively. The observation checklists and interview transcripts were analyzed qualitatively through data collection, data reduction data display, and drawing conclusion. The validity of the research was through process validity, democratic validity, dialogic validity, catalytic validity and outcome validity. The result showed that Project Based Learning (PJBL) effectively enhanced the students’ learning of English writing skill about Narrative genre writing. The use of canva as a technology was through PJBL showing the improvement that the students were accustomed to having writing practice with the process of writing within. It made quite much improvement on the students’ writing learning process in terms of participation, involvement, and achievement. Students should learn individually and in group and produce the real product from their learning and they study involving technology. Based on the enhancement result, the researcher suggested that the teacher could implement canva as a technology through PJBL simultaneously as an effort to enhance students’ Narrative genre writing skill.

Accountability Document as a Symbol of The Effectiveness of Local Government Financial Management

Preparing the Accountability Document (AD) is a process carried out by local governments to ensure transparency and accountability in financial management. The AD is used as a means to monitor and account for regional financial management that has been obtained every period. This document is made routinely every period and contains information files about the use of funds in an activity, as well as the results of budget absorption achieved in a period. This study aims to analyze how preparing AD exhibits the effectiveness of local government financial management. This research uses qualitative methodology with interview techniques. Data analysis techniques use qualitative analysis consisting of data reduction, data presentation, and conclusion drawing and verification. The results of this study concluded that AD plays an important role in ensuring that financial management is carried out transparently and accountably. This document allows local governments to monitor and supervise the use of funds received by each regional apparatus agency, as well as ensure that these funds are in accordance with government objectives and interests.

STUDI KEANEKARAGAMAN OLAH TUMBUHAN BERKHASIAT OBAT DI KELURAHAN PASAR TELUKDALAM KECAMATAN TELUKDALAM

Based on the research focus, it aims to study the diversity of plants with medicinal properties in Pasar Telukdalam Village, Telukdalam District. This research aims to find out what types of medicinal plants are used by the community in Pasar Telukdalam Pasar Telukdalam Village as well as their benefits and what diseases can be cured. This type of research is qualitative with a case study approach. This research data was analyzed using data reduction, verification and drawing conclusions. The results of this research are that the types of medicinal plants used by the community in Pasar Telukdalam Village are ginger, turmeric, bitter gourd and galangal. Diseases that can be cured by medicinal plants that are used by people in Telukdalam Market Village are the ability to soothe a dry throat, overcome flatulence, overcome high stomach acid and are very good for helping to overcome coughs, shortness of breath, due to asthma, helping to relieve breathing, helps overcome nasal congestion and relieves the effects of a throbbing head due to flu. Suggestions for the community, it is hoped that this research can provide information to the community in using medicinal plants in Pasar Telukdalam Village, Telukdalam District and for Nias Raya University, it is hoped that the results of this research can enrich and add sources of information for Nias Raya University students, especially in plant processing. medicinal properties.

Motivational Factors Contributing to Students’ Participation in The English Learning Programs: A Study at MTs. Putri Nurul Haramain Islamic Boarding School Narmada

This research aims to find out motivational factors contributing the students’ participation in the English learning programs at MTs Putri Nurul Haramain Islamic Boarding School Narmada. This is a case study research using descriptive qualitative design. The participants of this research were 10 students at Cambridge class of MTs Putri Nurul Haramain Narmada. The instruments were observation, and interview. The data analysis was carried out using data reduction, data display, and conclusion drawing and verification. The results show that there are five factors motivated the students in learning English at Learning English Programs which are teachers, activities and material, relevance, feedback, and classroom environment. In addition, the contribution of programs to the students’ motivation are have different perception on the students, Madani Super Camp is has a good contribution on the students’ perception, English Day is has good contribution on the students’ motivation and learning English in the classroom is not good has contribution on the students’ motivation in learning English at English Learning Programs.

Analisis Disiplin Kerja, Pelatihan dan Kinerja Karyawan pada CV. Balong Karya Utama

The purpose of this research is to determine and analyze work discipline, training and employee performance at CV. Balong Karya Utama. This research method uses qualitative methods with descriptive explanations. Participants in this research were leaders and employees. The data analysis techniques in this research are information collection, data reduction, data presentation and drawing conclusions. The research results show that work discipline CV. Balong Karya Utama still has shortcomings that impact employee performance. Then the training has been effective, but there are still several obstacles related to employee attendance during training. Meanwhile, employee performance is influenced by several factors, namely work discipline and training, therefore the leadership of CV. Balong Karya Utama needs to pay attention to work discipline and employee training so that employee performance can improve.