Collection Methods Research Articles

TATPat based explainable EEG model for neonatal seizure detection

The most cost-effective data collection method is electroencephalography (EEG) to obtain meaningful information about the brain. Therefore, EEG signal processing is very important for neuroscience and machine learning (ML). The primary objective of this research is to detect neonatal seizures and explain these seizures using the new version of Directed Lobish. This research uses a publicly available neonatal EEG signal dataset to get comparative results. In order to classify these EEG signals, an explainable feature engineering (EFE) model has been proposed. In this EFE model, there are four essential phases and these phases: (i) automaton and transformer-based feature extraction, (ii) feature selection deploying cumulative weight-based neighborhood component analysis (CWNCA), (iii) the Directed Lobish (DLob) and Causal Connectome Theory (CCT)-based explainable result generation and (iv) classification deploying t algorithm-based support vector machine (tSVM). In the first phase, we have used a channel transformer to get channel numbers and these values have been divided into three levels and these levels are named (1) high, (2) medium and (3) low. By utilizing these levels, we have created an automaton and this automaton has three nodes (each node defines each level). In the feature extraction phase, transition tables of these nodes has been extracted. Therefore, the proposed feature extraction function is termed Triple Nodes Automaton-based Transition table Pattern (TATPat). The used EEG signal dataset contains 19 channels and there are 9 (= 32) connection in the defined automaton. Thus, the presented TATPat extracts 3249 (= 19 × 19 × 9) features from each EEG segment. To choose the most informative features of these 3249 features, a new feature selector which is CWNCA has been applied. By cooperating findings of this feature selector and the presented DLob, the explainable results have been obtained. The last phase is the classification phase and to get high classification performance from this phase, an ensemble classifier (tSVM) has been presented and the classification results have been obtained using two validation techniques which are 10-fold cross-validation (CV) and leave-one subject-out (LOSO) CV. The proposed EFE model generates a DLob string and by using this string, the explainable results have been obtained. Moreover, the presented EFE model attained 99.15% and 76.37% classification accuracy deploying 10-fold and LOSO CVs respectively. According to the classification performances, the recommended TATPat-based EFE is a good model at EEG signal classification. Also, the presented TATPat-based EFE model is a good model for explainable artificial intelligence (XAI) since TTPat-based EFE is cooperating by the DLob.

Analisis perhitungan dan pencatatan penerimaan Bea Perolehan Hak atas Tanah dan Bangunan di Badan Pendapatan Daerah Kabupaten Minahasa

Land and Building Acquisition Fee (or BPHTB) is an important source of regional income to support development in Minahasa Regency. This research aims 1) To find out the calculation of fees for acquiring land and building rights at the Regency Regional Revenue Agency Minahasa. 2) To find out the system for recording fees for acquiring rights to land and buildings at the Regency Regional Revenue Agency Minahasa. The data analysis method used in this research is the descriptive analysis method with data collection methods, namely interviews and documentation. The research results show that the calculation of BPHTB is carried out after the NPOP is determined as the basis for taxation minus the Non-Taxable Tax Object Acquisition Value (NPOPTKP) of IDR 60,000,000 for each taxpayer and IDR 300,000,000 for rights due to inheritance or testamentary grants. Then multiplied by a rate of 5%. The calculation has been carried out in accordance with the regulations, namely Minahasa Regency Regional Regulation Number 2 of 2011 concerning Land and Building Acquisition Fees. Recording of BPHTB receipts is adjusted to the taxes received and recording is carried out through proof of deposit, which can be in the form of a Deposit Certificate (SKS) from a bank or bank statement, all payment data is then inputted into the application system digitally. The BPHTB transaction or receipt recording system uses the BPHTB application system which is integrated with the land registration service system by the National Land Agency (or BPN).

LOCAL WISDOM IN APPLYING FINANCIAL FAMILY PLAN ACCORDING TO SHARIA: LESSONS LEARNED FROM MUSLIMAH HOUSEWIVES IN MAGELANG INDONESIA

This study aims to examine the effect of financial literacy on family financial management and analyze the skills of housewives in moderating financial literacy in family financial management. This study used a quantitative method with a sociological, gender, and Islamic economic approach involving 191 housewives. The data collection methods were questionnaires also documentation and were analyzed in a moderating regression analysis. The results show that financial literacy has a positive, significant effect on family financial management, and the skills of housewives can be a moderating variable that strengthens the impact of financial literacy on family financial management. This indicates that the better the financial literacy, the more improved the family's financial management. In addition, the skills of housewives as moderating variables can strengthen their effect on family financial management.

The Influence of Diversity on Employee Performance Study Case: PT Tanjung Migas Tanjung Morawa

The purpose of this study aims to explain and analyse the effect of diversity on employee performance at PT Tanjung Migas Tanjung Morawa. The data sources in this study are primary data, namely employees of PT Tanjung Migas Tanjung Morawa and secondary data sources as a reference tool, namely journals and some literature and other documents. The population of this research data is all employees of PT Tanjung Migas Tanjung Morawa, totalling 33 people and sampling using a census. then the data collection method uses a questionnaire with SEM Smart PLS software as a data analysis tool. The results showed that there is a positive and significant relationship between diversity and employee performance. Hopefully PT Tanjung Migas can continue to evaluate in improving the application of Diversity to employees through aspects of ethnicity, gender, age, and religion so as to make employees feel comfortable at work in order to provide satisfactory performance for the company.

Analisis Sustainability Report pada Perusahaan PT. XYZ di Karawang

In Companies today must be able to actively participate in sustainable development. The effort to publish a sustainability report is one of the strategies to implement sustainable development in a transparent and measurable manner. The purpose of this study is to analyse the disclosure of sustainability reports in the company. This research was conducted qualitatively. The type of data used is documentary data and the data source is secondary data. The data source can be a sustainability report from a manufacturing company at company XYZ. The data collection method used in this research is the interview method. The object of this research is PT XYZ in Karawang. The researcher conducted an analysis using the content analysis method based on the disclosure/reporting rules that should be implemented in accordance with the Sustainability Reporting Guideline and the Global Reporting Initiative (GRI) Guidelines. The GRI provides a standardised corporate reporting framework on how to disclose economic, environmental, social and corporate governance issues in preparing financial statements.

Analisis Strategi Bauran Pemasaran Terhadap Minat Pembelian Air Minum dalam Kemasan Bariklana Desa Parseh Kecamatan Socah Bangkalan

The purpose of this study was to analyze the effect of marketing mix on buying interest. This research uses a quantitative approach. This research was conducted on 50 consumers and the data collection methods used included questionnaires, interviews and observations. The results of this study prove that the independent variables X1 (people), X2 (promotion), X3 (people), and X4 (process) and X5 (physical evidence) have a positive influence on the dependent variable Y (purchase interest) because the sig value below 0.05 indicates a statistically significant value.

Analisis Penerapan Akuntansi Lingkungan (Green Accounting) pada Pengelolaan Limbah Industri di PT Atsumitec Indonesia

This research primarily investigates the application of environmental accounting, often known as green accounting, in the management of industrial waste. Ecological accounting is an accounting system that incorporates environmental factors into the process of making economic decisions. The objective of this study is to investigate the application of environmental accounting in waste management for the purposes of cost reduction, delineation of environmental responsibilities within the organization, and generation of environmental cost reports to facilitate decision-making by management. This study employs a comparative descriptive methodology, including data collection methods such as interviews, archival recordings, and direct observation. Research findings indicate that PT Atsumitec Indonesia currently lacks a dedicated financial report for waste management. Thus, in order to effectively manage accountability, this study must include environmental accounting methods for waste management.

Pengaruh Literasi Finansial dan Pengelolaan Uang Saku Terhadap Perilaku Menabung dengan Kontrol Diri sebagai Variabel Mediasi

Internal and external factors can cause each individual to have different characteristics and tendencies in terms of saving. This research aims to determine the influence of financial literacy and pocket money management on saving behavior at the Unesa Faculty of Economics and Business which is mediated by self-control. The purposive sampling technique used in this research was 100 FEB Unesa students. Data collection methods are carried out through test questions and questionnaires. Data processing in this study used SPSS version 25 software, the research results showed that: 1) there is no influence between financial literacy on saving behavior, 2) there is a significant positive influence between financial literacy and self-control, 3) there is a significant positive influence between self-control on saving behavior, 4) there is a significant positive influence between pocket money management on saving behavior, 5) there is a significant positive influence between pocket money management on self-control, 6) self-control is able to mediate financial literacy and pocket money management on saving behavior, 7) Self-control is able to mediate pocket money management on saving behavior.

Pengaruh Variasi Produk dan Sistem Penjualan terhadap Kinerja Pemasaran UMKM di Kecamatan Kampa

The problem in this research is the low variety of products and sales systems on the marketing performance of MSMEs in Kampa sub-district. This research aims to determine the effect of product variations and sales systems on the marketing performance of MSMEs in Kampar District. The variables used in this research are product variations and sales systems as independent variables and marketing performance as the dependent variable. This research is quantitative research. The data source in this research is primary data where the data collection method uses a questionnaire method which was distributed to all MSMEs in Kampa District which were the research subjects, totaling 53 respondents. The research population for MSMEs in Kampa sub-district is 61 MSMEs. The sample for this research consisted of 53 MSMEs. The results of this research show that product variations have a positive and significant effect on marketing. The sales system variable has a positive and significant influence on marketing performance. Based on the calculated product variations and sales systems can jointly influence the marketing performance of MSMEs in Kampa District

Pengawasan Penyelenggaraan Parkir Tepi Jalan Umum di Kawasan Wisata Jalan Tunjungan pada Dinas Perhubungan Kota Surabaya

The large number of public roadside parking arrangements in the Jalan Tunjungan Surabaya Tourist Area that are not in accordance with existing regulations has caused a lot of anxiety among road users. This research aims to analyze how supervision is carried out by the Surabaya City Transportation Department in the implementation of public roadside parking to find out whether existing supervision makes public roadside parking comply with existing regulations, increases PAD resulting from parking fees, increases parking attendant compliance, as well as sanctions. given for existing violations. This research uses a qualitative descriptive approach with primary and secondary data sources. Data collection methods used were observation, interviews and documentation. Data analysis techniques use data collection, data condensation, data presentation, and drawing conclusions. This research uses the theory of implementation of supervision according to Soekidjo Notoatmodjo which consists of three, namely the object of supervision, the method of supervision, and the process of supervision. The results of this research indicate that supervision of the implementation of public roadside parking in the Jalan Tunjungan Tourist Area is not yet fully optimal because it does not meet the criteria in terms of supervision objects and supervision methods. This is due to the low level of discipline of parking attendants, in addition to the lack of socialization regarding parking management regulations to the public so that complaints are rarely made by the public. However, the criteria for the supervision process show that the process of carrying out supervision by the Surabaya City Transportation Service is in accordance with the established flow and the imposition of sanctions for violations by parking attendants is determined in accordance with applicable regulations. It is hoped that the results of this research can make supervision more optimal.

Implementation of the Use of Instagram @gramatika_arab in Developing Arabic Language Skills for Students of Arabic Language Education of UIN Sunan Kalijaga

Instagram is one of social media equipped with various features and used as a medium of information and communication. One of its functions is to make it easier for Arabic learners to access Instagram accounts that provide several audio-visual-based Arabic content. This research is a qualitative content analysis with Instagram @gramatika_arab as the subject. Data sources in this study consist of primary data sourced from Instagram @gramatika_arab and secondary data in the form of several scientific journals relevant to this study. The data collection method used is the documentation method while data analysis is carried out during the research. The results showed that Instagram @gramatika_arab become one of the accounts providing audio-visual based Arabic content that is widely accessed by Arabic language learners, especially for students of state islamic universities in Indonesia. It is even accessed by several other countries such as Malaysia, Thailand, and Morocco. Content in the form of Arabic quizzes, pamphlets, and handwriting can attract and facilitate Arabic learners in understanding the material. In addition, Arabic language learners can easily access these contents anytime and anywhere.

Knowledge and attitude of tile industry workers in the field of heat stress management

Introduction: One significant factor affecting employee performance is high ambient temperature or heat. Numerous studies have highlighted the negative effects of heat stress in various work environments. Therefore, enhancing workers' knowledge and attitudes toward heat stress can improve their performance. Materials and Methods: This semi-structured content analysis was conducted among tile industry workers in Yazd city in 2023. Participants engaged in both individual and group interviews. Initially, three unstructured interviews helped identify key points, followed by semi-structured interviews, which served as the primary data collection method. The study's reliability and validity were assessed using Lincoln and Guba. Data collection continued until theoretical saturation was reached, and the findings were organized into main themes and subcategories. Results: The workers' perspectives on the issue were explored from various angles, leading to two main themes: knowledge and attitude, each with different subcategories. The knowledge theme includes individual and management factors, while the attitude theme encompasses individual and environmental factors. Conclusion: The tile industry workers in Yazd City demonstrated varying levels of knowledge about heat stress and held attitudes that reflected the negative impacts of this stressor. Factors such as age and education level influenced their knowledge and attitudes. Workers' understanding and attitudes towards heat stress can be achieved through proper training.

The Effect of Knowledge and Ease of Use of Quick Response Code Indonesia Standard (QRIS) on the Decision to Use E-Wallet as a Payment Means in UMKM in Yogyakarta City

The use of QRIS in MSMEs in Yogyakarta has increased and spread to small MSMEs. This makes the development of payment services more advanced and easier. However, there are also quite a few small MSMEs or consumers who still have minimal knowledge about QRIS and how to use it. For this reason, it is necessary to know the extent of knowledge about QRIS and what benefits can be obtained from QRIS. Socialization of QRIS is very helpful in the development of QRIS in the community, especially among MSMEs in Yogyakarta. The purpose of this study is to determine the knowledge and responses of culinary MSME consumers in Yogyakarta about the Quick Response Code Indonesia Standard (QRIS) and its ease of use. In this study, the author used a descriptive quantitative research method with a data collection method using a questionnaire based on the Likert Scale. While the data research process uses descriptive analysis, associative analysis which includes multiple linear regression analysis, correlation coefficient analysis and determination coefficient analysis, and hypothesis testing in the form of simultaneous tests (F Test). Furthermore, describing the results of the analysis using descriptive sentences.

MORPHOLOGICAL ANALYSIS OF COMPOUNDING IN THE NOVEL THE BURNING MAZE: THE TRIALS OF APOLLO BY RICK RIORDAN

This research concerned a morphological analysis of compounding within The Burning Maze: The Trials of Apollo by Rick Riordan. This study morphologically described the importance of language in conveying deep emotion and thematic richness. This descriptive qualitative linguistic research employed the observation and auto-expert judgment methods for the data collection and morphological note-taking techniques for the data analysis. The results revealed patterns of word combinations that contributed to the linguistic richness and depth of the themes. The discussion interpreted these findings in the context of the novel’s storytelling, providing further understanding of the role of morphology in character development and plot complexity. The results showed that compounding in The Burning Maze: The Trials of Apollo by Rick Riordan had a combination of elements with the form of the Noun (N) + Verb (V); Noun (N) + Noun (N); Verb (V) + Verb (V); Adjective (Adj) + Noun (N); Verb (V) + Noun (N); Adverb (Adv) + Noun (N); Noun (N) + Adverb (Adv); Adjective (Adj) + Verb (V); Adjective (Adj) + Adjective (Adj); Adverb (Adv) + Adjective (Adj); Verb (V) + Adverb (Adv); Noun (N) + Adjective(Adj); Verb (V) + Adjective (Adj). Besides revealing linguistic nuances in literary works, this research has strived to deepen our understanding of the intricate layers within literature, showcasing how the careful selection of words enhanced the reader’s immersive journey into the literary landscape.

Earthquake magnitude prediction in Indonesia using a supervised method based on cloud radon data

In the challenging realm of earthquake prediction, the reliability of forecasting systems has remained a persistent obstacle. This study focuses on earthquake magnitude prediction in Indonesia, leveraging supervised machine learning techniques and cloud radon data. We present an analysis of the tele-monitoring system, data collection methods, and the application of regression-based machine learning algorithms. Utilizing a comprehensive dataset spanning 30 training instances and 105 test instances, the study evaluates multiple metrics to ascertain the efficacy of the prediction models. Our findings reveal that the linear regression approach yields the best earthquake magnitude prediction method, with the lowest values across multiple evaluation metrics: standard deviation 0.40, mean absolute error (MAE) 0.30, mean absolute percentage error (MAPE) 6%, root mean square error (RMSE) 0.52, mean squared error (MSE) 0.28, symmetric mean absolute percentage error (SMAPE) 0.06, and conformal normalized mean absolute percentage error (cnSMAPE) 0.97. Additionally, we discuss the implications of the research results and the potential applications in enhancing existing earthquake prediction methodologies.

Rapid deep learning prediction model using satellite imagery for radiation accident Announcement system in Serbia

Radioactivity environmental monitoring with the help of the Radiation Accident Announcement System (RAAS) established in the Republic of Serbia is of vital importance for rapid response in the event of intervention dose values being reached such as Operational Intervention levels (OILs). There are cases of impossibility of using a ground-based model in order to predict the transport and spread of radiation during a nuclear accident such as the one in the Fukushima Daiichi nuclear power plant 2011. Modern technology has made it possible to use machine learning models with remote sensing data in addition (or an alternative) to atmospheric models with ground data collection methods. Deep learning (DL) model was developed and trained on a satellite-based cloud fraction dataset to forecast diurnal cloud drift. By forecasting the movement of clouds that are potential carriers of radioactive materials, decision-makers can provide an adequate response with an Action Plan in the case of nuclear and radiation accidents and incidents. Designed Application Programming Interface (API) has been developed and integrated between the DL model and the RAAS. In this way, the monitoring, data sharing and exchange processes were automated in order to trigger the DL model when an OILs value of 1 μSv/h is reached. The hyperparameter optimization process of the DL model was done with grid search and Particle Swarm Optimization (PSO) to achieve maximum performance on the data in a reasonable amount of time. The evolution metrics to monitor and measure the performance of the DL model were cosine similarity (CS) and structural similarity (SS) with the best score of 0.78282 and 0.27063 for grid search, respectively, while 0.27065 and 0.78282 for PSO, respectively. It can be concluded that remote sensing imagery with DL model is an alternative approach against a ground-based forecasting system, and is able to predict in near real-time independently of ground network system and data.

Makna Ider Bumi pada Bulan Sura di Kelurahan Penataban Kecamatan Giri Banyuwangi

Penataban Village is one of the neighborhoods located in the center of Banyuwangi. Although situated in the center of Banyuwangi, Penataban Village continues to uphold traditional customs and cultural practices, such as the Ider Bumi ceremony. According to Kridalaksana (2023:13), meaning refers to the speaker's intention, the influence of language units in understanding human perception or behavior, relationships in terms of similarities or differences between language and non-language contexts, or between speech and all that it denotes, or the way language symbols are used. This study employs a qualitative research method. The data source for this research is the Ider Bumi event held during the Suro month in Penataban Village, Banyuwangi. The data focuses on the aspects of the meaning of Ider Bumi during the Suro month in Penataban Village, Banyuwangi. Data collection methods include (1) documentation, (2) note-taking, and (3) interviews. The Ider Bumi ceremony takes place both at night and in the morning. The meaning of the Ider Bumi ceremony in Penataban Village differs from that in other villages. The Ider Bumi event in Penataban is specifically held on the first day of Sura. In addition to the nighttime village procession, there is a communal meal held in the morning. This tradition is an essential part of the cultural and social identity of Penataban Village. The harmonious relationship between humans and nature is demonstrated through the communal meal, where residents come together to share food made from local produce. Furthermore, the harmonious relationship between humans and spirituality is reflected in the procession, which includes recitations of istighfar (a form of seeking forgiveness), the call to prayer, and prayers at every corner of the village

WHAT IS EMO-DECISION-MAKING CONTAGION? THE CONCEPT AND MECHANISMS

Objective: This article aims to present a new topic for the marketing literature: emo-decision-making contagion. This concept is developed from Hatfield et al.’s (2014, 1994) work and the research conducted by Pire-Lechalard and Van-Hoorebeke (2021) in the context of decision-making. Theoretical Framework: The decision depends on emotion. However, emotion has a primordial characteristic, namely its contagiousness (Chaabi, 2023; Pire-Lechalard & Van-Hoorebeke, 2021). Hence the genesis of the concept of emo-decision-making contagion. Until now, the study of this concept has been ignored in the marketing field, and researchers focus, rather, on ad hoc concepts such as social influence. This article attempts, through a well-defined methodology, to define emo-decision-making contagion and establish its theoretical underpinnings, so that it is useful and beneficial for marketing practitioners. Method: To penetrate the experiences of the respondents and explore the human constructions around emo-decision-making contagion, a qualitative study was conducted with a sample of 30 individuals. Therefore, we chose the interview as the data collection method. Similarly, to ensure greater consistency in this exploratory study, we limited our focus to a specific area: fashion products, specifically textile items. Results: The results indicate that this concept is defined as the propensity of individuals to reproduce and copy the purchasing decisions of a group leader unconsciously and massively. These decisions are intended to serve as a lesson and are transmitted through the sharing of emotions with the members of the group and identification with them, to have a specific result or to be in conformity with this group. Conclusions: As emo-decision-making contagion does indeed exist, it is suggested to focus on the study of this concept, which can be a very effective and attractive strategy in communication and advertising, and understanding the mechanisms underlying EDMC can help marketers improve their commercial approaches or develop better ones.

The Investigation of Progress and Application in the Multi-Armed Bandit Algorithm

This article delves deeply into the development process and practical applications of the multi-armed bandit algorithm in the current digital era. With the continuous popularity of online advertising and online learning, information has grown explosively, making decision optimization crucial. The multi-armed bandit algorithm, as a sequential decision-making model, encompasses common algorithms such as the greedy algorithm, -greedy algorithm, UCB algorithm, and Thompson sampling. Its main role is to seek the best balance between exploration and exploitation to solve the fundamental problems in reinforcement learning. The article introduces an internationally released datasets, namely MovieLens, and elaborates in detail a series of indicators for evaluation, including the average number of friends per user, the average number of listened-to artists per user, the average number of movie rating times, the average number of tags added by users, content diversity indicators, and statistics on the differences in click-through rates of recommendations for different types of movies. In addition, the article also presents the specific methods of literature collection, screening, analysis, and review. Its purpose is to understand the multi-armed bandit algorithm more deeply and provide strong guidance for the future development and wide application of this algorithm in various fields.

Implementation of Education Re-Entry Policy for Adolescent Mothers in Urambo District, Tanzania

In Tanzania, adolescent mothers were pre+viously been prohibited from returning to public secondary schools particularly during the fifth government phase led by the late President John Joseph Pombe Magufuli. However, under his successor President Samia Suluhu Hassan, a new re-entry policy for adolescent mother has been re-introduced. The policy aims to address the challenges faced by adolescent mothers who drop out of school due to pregnancy. Although the policy granted the opportunities for adolescent mothers to continue with their studies after giving birth, its implementation in country is still uncertain. It is against this backdrop that the current study explored the perceptions held by selected educational stakeholders and adolescent mothers to appraise the extent to which the re-entry education policy has thus far been implemented, drawing on a case of the secondary schools sampled from Urambo District, in Tanzania. The study deployed the interpretivist approach and phenomenological research design. Purposive sampling was used to select ten study participants reflecting two counter factual scenarios, namely: adolescent mothers who enrolled through re-entry program after delivery and who did not do so after delivery. The methods of data collection included in-depth interview with adolescent mothers and key informants; and focus grouped discussions with community members. The data were analysed through thematic analysis. The study findings revealed that implementation of the re-entry policy is marked with several challenges on part of the adolescent mothers which include: lack of support from families and schools. More to say, there prevails a stubbornly rigid and unchanging social stigma subjecting the typologies of the mothers into a state of dilemma, making it difficult for them to perform both the expected double roles of a mother and student simultaneously. The study also disclosed a lack of clarity on the re-entry policy guidelines, which has forced some of the re-entry policy implementers to use their own discretions. Additionally, the findings indicated that awareness creation was not sufficient enough to enable adolescent mother especially in remote areas to enrol back to school after pregnancy. The paper recommends that, for successful implementation of the re-entry policy, comprehensive counselling programmes for adolescent mothers and awareness creation among the educational stakeholders and community members are inevitable.