bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peranan Anggota DPRD Sumatera Utara Fraksi Golongan Karya (Golkar) Dalam Mengupayakan Aspirasi Masyarakat
Authors: Ihsan Khairil , Khairunisa Tengku Khofifah , Zulkhoir Ibnu , Hasibuan Ahmad Nasir , Fitriani Fitriani 
Published: May 2023

One of the duties and functions of DPRD members, namely members of the district DPRD, includes the obligation to absorb and collect constituent aspirations through regular working visits, accommodate and follow up on public aspirations and complaints, and provide moral and political accountability to constituents in their constituency. The research used in this study is a qualitative approach. As for what is meant by qualitative research, namely research that intends to understand the phenomenon of what is experienced by research subjects holistically, and by means of descriptions in the form of words and language, in a special natural context and by utilizing various scientific methods. This research resulted that the members of the North Sumatra DPRD members of the Golongan Karya faction in fighting for the aspirations of the people were carried out by members of the parliament as the people's representatives in the legislature using several methods. The role of DPRD members is to oversee the running of government and to be a connector of people's aspirations for the government. The role of DPRD members in fighting for people's aspirations has been carried out optimally.
Keywords: DPRD, Recess, Community Aspirations
The Use of AI and Algorithms for Decision-making in Workplace Recruitment Practices
Authors: Mariani Kelvin , Vega Lozada Frederick 
Published: April 2023

The use of artificial intelligence (AI) and algorithms in human resource management systems has increased in recent years significantly due to the COVID-19 pandemic and the rise of remote work. Research has shown that implementing AI systems in different workplace scenarios increases efficiency, reduces worktime, production and labor costs and the need for human workers to perform the tasks that AI systems can perform. Within human resource management practices, AI systems have been employed to do a multiple array of tasks such as: screening candidates, performance evaluations, facial and voice analysis during candidate interviews, training, and development. Other recruitment practices that employ AI systems are considered to have implications that make employers liable for possible discrimination which could occur as an adverse effect of having these systems partake in the decision-making process for employee selection. Certain authors have recognized the lack of the human factor in this process as detrimental and increases the possibility of error and bias in selection of candidates.
This study explored the use of these AI systems in the workplace and what regulations have been created to oversee how they can be employed for recruitment practices. It also aims to highlight the positive and negative impact of these AI supported practices. The results highlight the importance of regulating these practices as an effort to protect minority rights and privacy rights of people that are seeking employment. Identifying international and national legislation is necessary for adopting better regulated practices and guaranteeing worker’s rights.
Exploring the Capabilities and Limitations of ChatGPT and Alternative Big Language Models
Authors: AlZu'bi Shadi , Mughaid Ala , Quiam Fatima , Hendawi Samar 
Published: April 2023

ChatGPT, an artificial intelligence (AI)-powered chatbot developed by OpenAI, has gained immense popularity since its public launch in November 2022. With its ability to write essays, emails, poems, and even computer code, it has become a useful tool for professionals in various fields. However, ChatGPT’s responses are not always rooted in reality and are instead generated by a Generative Adversarial Network (GAN). This paper aims to build a text classification model for a chatbot using Python. The model is trained on a dataset consisting of customer responses to a survey and their corresponding class labels. Many classifiers are trained and tested, such as naive Bayes, random forest, extra trees, and decision trees. The results show that the extra trees classifier performs the best with an accuracy of 90%. The system demonstrates the importance of text preprocessing and selecting appropriate classifiers for text classification tasks in building an effective chatbot. In this paper, we also explore the capabilities and limitations of ChatGPT and its alternatives in 2023. We present a comprehensive overview of the alternative’s performance. The work here concludes with a discussion of the future directions of large language models and their impact on society and technology.

Received: 1 March 2023 | Revised: 26 April 2023 | Accepted: 26 April 2023

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Heart Disease Prediction Using Support Vector Machine and Artificial Neural Network
Authors: Mondal Aishwarya , Mondal Banhishikha , Chakraborty Amaresh , Kar Agnita , Biswas Ayanty , Banerjee Majumder Annwesha 
Published: April 2023

Heart-related illnesses, often known as cardiovascular diseases, have been the leading cause of mortality globally over the past several decades and are now recognized as the most major illness in both India and the rest of the globe. The severity out of the disease can be avoided with proper care at proper stage. This disease claims early and accurate prediction to avoid causalities. As proper medical support is not adequate, diseases are not being identified at the proper time and treatment cannot be started. Machine learning algorithms have shown promise in predicting heart disease risk based on patient data. In this study, a machine learning-based heart disease prediction model has been presented. The objective of the work is to build a machine learning-based model for early and adequate prediction of heart disease. The proposed model has utilized support vector machine and artificial intelligence with an accuracy of 81.6% and 86.6%, respectively. The findings show that the model predicts heart disease risk with excellent accuracy, sensitivity, and specificity, offering healthcare professionals a useful tool to pinpoint people who may be more at risk of developing heart disease.

Received: 6 March 2023 | Revised: 17 April 2023 | Accepted: 23 April 2023

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Intra-annual National Statistical Accounts Based on Machine Learning Algorithm
Authors: Garai Sandip , Paul Ranjit Kumar , Kumar Mohit , Choudhury Anish 
Published: April 2023

The methods used for forecasting financial series are based on the concept that a pattern can be identified in the data and distinguished from randomness by smoothing past values. This smoothing process eliminates randomness from the data, enabling the inherent pattern to be used for forecasting. However, acquiring high-frequency national accounts data can be challenging, and complicated methods are required to achieve disaggregated series that are compatible with annual totals. Therefore, there is a need for simpler techniques to obtain high-frequency data from low-frequency equivalents. Machine learning algorithms are rapidly evolving, and feedforward artificial neural networks (ANNs) with appropriate training mechanisms have been proposed to temporally disaggregate economic series without considering related indicators. This study proposes using the ANNs algorithm to disaggregate national statistical accounts. An application of disaggregating annual Australia gross domestic product data into quarterly data has also been presented. The higher frequency data generated have been compared with the observed quarterly data to assess its accuracy. Comparative study suggests that the ANN-based model outperforms over benchmark methods such as Chow and Lin method (CL1) and Fernandez method (f).

Received: 18 March 2023 | Revised: 17 April 2023 | Accepted: 27 April 2023

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The data that support the findings of this study are openly available in [Australian Bureau of Statistics] at https://www.abs.gov.au/statistics/economy/national-accounts/australian-national-accounts-national-income-expenditure-and-product/latest-release.
Chuvas em Juazeiro do Norte, Ceará: análise dos extremos e suas repercussões
Authors: Luna Vinicius Ferreira , Duarte Cristiana Coutinho , Silva Juliana Maria Oliveira , Anjos Lillian Souza Dos , Nóbrega Ranyére Silva 
Published: April 2023

A ocorrência de eventos extremos de chuvas e seus impactos já A ocorrência de eventos extremos de chuva e os impactos associados já representam uma séria ameaça à vida, principalmente no Brasil, pois o país evoluiu muito pouco no gerenciamento de risco de desastres. Diante disto, o presente trabalho teve como objetivo identificar e analisar eventos extremos de chuva na cidade de Juazeiro do Norte, Ceará, no período de 1991 a 2021 e definir um limiar de chuva diária para esta. Para análise dos dados pluviométricos foram utilizadas a técnica dos quantis e estatística descritiva; para a observação dos impactos associados empregou-se de matérias jornalísticas do Diário do Nordeste e G1, como também imagens de satélite do Centro de Previsão de Tempo e Estudos Climáticos - CPTEC/INPE, a fim de identificar os sistemas atmosféricos atuantes durante os episódios extremos. Constatou-se, portanto, que os meses mais chuvosos estão associados a quadra chuvosa da região (janeiro a abril). Já para os dados diários foi possível estabelecer três limiares ligados a eventos com chuva em 24 horas: eventos chuvosos (20,0mm), muito chuvosos (37,0mm) e extremamente chuvosos (62,0mm). A partir da análise dos impactos foi possível observar a coerência dos limiares levantados e que eles condizem com a realidade de Juazeiro do Norte.
KOMUNIKASI INTERPERSONAL DALAM PENERAPAN METODE PEMBELAJARAN PADA MASA NORMAL BARU PANDEMI COVID-19 PADA SEKOLAH DASAR DI KABUPATEN BIAK NUMFOR
Authors: Mohamad Sudi  , Irwan Irwan 
Published: May 2023

Penelitian ini mengkaji tentang komunikasi interpersonal dalam penerapan metode pembelajaran pada masa normal baru pandemi covid-19 pada tingkat Sekolah Dasar yang berada di Kabupaten Biak Numfor. Penelitian deskriptif kualitatif dengan sasaran beberapa Sekolah Dasar yang menjadi informan. Data diperoleh dengan cara wawancara mendalam, pengamatan berperanserta, dan studi dokumentasi, di mana analisis data dilakukan secara deskriptif kualitatif. Hasil penelitian menunjukkan bahwa; Pertama dalam mengimplementasikan komunikasi interpersonal antara guru dan siswa tidak terlepas dari peran guru, sehingga keberhasilan suatu pembelajaran akan ditentukan oleh kemampuan seorang guru dalam menyampaikan materi pelajaran kepada siswa, komunikasi menjadi media paling efektif dalam menunjang keberhasilan pembelajaran. Keterbukaan, empati, dukungan, sikap positif, dan kesetaraan menjadi aspek penting dalam keberhasilan komunikasi Interpersonal. Kedua, dalam penerapan metode pembelajaran tatap muka bergilir pada masa baru normal pandemi Covid-19 tidak terlepas adanya faktor penghambat dan pendukung, faktor penghambat mengaharuskan materi pelajaran atau kompetensi dasar banyak dikurangi atau dipersempit, siswa dapat menerima materi secara utuh yang mengharuskan siswa melanjutkan belajar di rumah, dan selain itu guru dituntut menyampaikan ulang materi pelajaran yang sama diwaktu yang berbeda. Sementara faktor pendukungnya adalah keterlibatan orang tua siswa secara langsung dalam proses pembelajaran, hal ini bertujuan agar kontrol siswa tidak hanya disekolah namun juga dapat dilakukan dirumah. Jalinan komunikasi secara personal antara guru, siswa dan orang tua memungkinkan keberhasilan dalam kegiatan proses belajar mengajar selama masa normal baru covid-19.
IMPLEMENTASI KEBIJAKAN ELECTRONIC GOVERNMENT PADA DINAS KOMINFO STATISTIK DAN PERSANDIAN DI KABUPATEN GOWA
Authors: Wati Nyai Kurnia , Ismail Ismail , Sakawati Herlina , Dahlan Dahlan 
Published: May 2023

Penelitian ini bertujuan untuk mengetahui Implementasi Kebijakan Electronic Government pada Dinas Kominfo Statistik dan Persandian di Kabupaten Gowa. Penelitian ini menggunakan pendekatan kualitatif dan menghasilkan data deskriptif. Pengumpulan data digunakan dengan teknik wawancara, dokumentasi, dan observasi. Data yang diperoleh dari hasil penelitian diolah dengan menggunakan analisis model interaktif yaitu kondensasi data, penyajian data, dan penarikan pengujian kesimpulan.
Hasil penelitian ini menunjukkan bahwa Implementasi Kebijakan Electronic Government pada Dinas Kominfo Statistik dan Persandian di Kabupaten Gowa telah berjalan dengan baik. Teori yang digunakan dalam penelitian ini adalah teori implementasi kebijakan publik dari George C. Edward III dengan indikator Komunikasi, Sumberdaya, Disposisi, dan Struktur Birokrasi. Berdasarkan keempat indikator tersebut indikator disposisi masih kurang baik yaitu terlihat dari kebutuhan analisa permintaan disposisi jabatan yang belum tercapai serta pemberian insentif berupa reward yang belum direalisasikan.
PENGARUH BUDAYA ORGANISASI, DISIPLIN KERJA, DAN MOTIVASI KERJA TERHADAP KINERJA PEGAWAI PADA BADAN PENELITIAN DAN PENGEMBANGAN DAERAH KOTA MAKASSAR
Authors: Wijaya Indra , Rakhman Basri , Herianto Dedy 
Published: May 2023

Penelitian ini bertujuan menganalisis secara mendalam regresi linier berganda antara variabel budaya organisasi, motivasi kerja dan disiplin kerja terhadap kinerja pada Badan Penelitian dan Pengembangan Daerah Kota Makassar baik secara parsial maupun simultan. Pendekatan penelitian ini adalah kuantitatif deskriptif dengan metode survey dan pengambilan sampel dengan teknik sampling jenuh yaitu sebanyak 52 aparatur pemerintah. Analisis data menggunakan pendekatan regresi linier berganda dengan bantuan SPSS versi 22.
Hasil penelitian menunjukkan bahwa budaya organisasi, motivasi kerja, dan disiplin kerja secara simultan berpengaruh positif dan signifikan dalam meningkatkan kinerja pegawai pada Badan Penelitian dan Pengembangan Daerah Kota Makassar. Sedangkan, hasil pengujian secara parsial menunjukkan bahwa budaya organisasi dan motivasi kerja berpengaruh signifikan terhadap kinerja pegawai dan variabel disiplin kerja tidak berpengaruh signifikan terhadap kinerja pegawai. Konklusinya menegaskan bahwa budaya organisasi dan motivasi berperan vital dalam peningkatan kinerja pegawai. Oleh karena itu, perlunya upaya sistematis dan menyeluh untuk menguatkan budaya organisasi dan peningkatan motivasi kerja pegawai melalui berbagai insentif, pendidikan formal dan informal serta pengembangan karir. Disamping itu, pelu juga dilakukan upaya meningkatkan disiplin kerja dalam rangka meningkatkan kinerja pegawai secara totalitas pada Badan Penelitian dan Pengembangan Daerah Kota Makassar.
Support system for gifted children in European countries
Authors: Klyuchko O. I. , Lyablina A. V. , Gavrilova O. Ya. 
Published: April 2023

Research background: The global nature of modern education and international cooperation in the study of giftedness creates a need to build close ties with organizations that support the gifted and share best practices in this area.The purpose of the study: to summarize data on the system of organizations that support gifted children in European countries.Research methods: the main research method was the search and analysis of the activities of organizations of various types that support gifted children in European countries, as well as the identification of the theoretical and methodological foundations of their activities.The results of the study presented in the article: The article describes the system of public organizations that provide assistance, training, support to gifted children in European countries. An overview of the theoretical and methodological foundations of the study and teaching of gifted children in European countries is given : the differential model of F. Gagne, the concept of multiple intelligences of H. Gardner, the enrichment model of D. Renzulli SEM, the educational models "Turniquet" and "Aktiotop". The activities of both pan-European and international and regional organizations are described. Most organizations are nongovernmental associations of educators, researchers and parents of gifted children. In particular, the specifics of such organizations as the European Council for High Ability (ECHA), the European Talent Support Network (ESTN), the non-profit organization for people with a high intelligence quotient Mensa, Internationalen Centrums für Begabungsforschung (ICBF), the International Panel of Experts for Gifted Education (IPEGE), Associação Nacional para o Estudo e Intervenção na Sobredotação in Portugal (ANEIS), Magyar Tehetségsegítő Szervezetek Szövetsége (MATEHETSZ), Elternverein hochbegabter Kinder in Switzerland (EHK) and Associazione Genitory Education to Talent in Italy (AGET).Conclusions: It is noted that the ideas of personalization of education are widespread, which is realized through mentoring, coaching and the opportunity for a gifted child to independently build his own learning process. The article fixes the network principle of support for the gifted, which is becoming a pan-European trend, including assistance not only to children, but also to parents and teachers who work with them. The largest universities in Europe, powerful public and charitable organizations are involved in work with gifted children. The purpose of this article is to summarize data on the system of organizations that support gifted children in European countries.
Parousia Dalam Perspektif Jemaat di Tesalonika dan Implikasi Bagi Gereja Masa Kini
Authors: Mussa Delon Patrick F. , Ngabalin Marthinus 
Published: April 2023

The issue of the second coming of Christ becomes a church struggle but is also fully understood in Paul”s writings. For the second coming of Christ is a mystery, which is still a never-ending theological subject. Therefore, the meaning of the Parousia Problem in the Tesalonika Letter helps to establish the current thinking of the congregation regading the burden of the struggle regarding Parousia is self. This research is qualitative research, using the literature study method.this study aims to explain the concept Parousia and Eschatology in the Thessalonian Church and their impact on the church today.AbstrakPersoalan tentang kedatangan Kristus yang kedua kali, menjadi pergumulan gereja tetapi juga sarat dipahami di dalam tulisan-tulisan Paulus. Sebab kedatangan Kristus yang kedua kali merupakan misteri, yang sampai saat ini masih menjadi pokok permulan teologis yang tidak pernah berhenti. Oleh sebabitu, pemaknaan terhadap persoalan Parousia dalam Surat Teaslonika, membantu mendudukan pemikiran jemaat saat ini mengenai beban pergumulan mengenai Parousia itu sendiri. Penelitian ini adalah penelitian Kualitatif, denganmenggunakan metode studi kepustakaan. Penelitian ini memiliki tujuan untuk menjelaskan konsep Parosuia dan Eskhatologi dalam Jemaat Tesalonika dan dampaknya bagi gereja masa kini.
A Moravian Rifle Goes to War: Disarming and Arming Pennsylvanians, 1775–1776
Authors: Gordon Scott Paul 
Published: May 2023

ABSTRACT
The travels of a Moravian-made rifle reveal that Pennsylvania armed its troops in 1776 by disarming peaceable citizens. Modern judicial rulings often look to eighteenth century-precedents to insist that it is permissible only to “disarm the dangerous” and that America has “no tradition” of disarming “peaceable citizens.” But when Pennsylvania’s efforts at making new arms in 1775 and 1776 failed, it passed laws to authorize taking arms from anybody who was not using them, including a very substantial number of non-associators, often described as “well-affected,” whom nobody considered dangerous. Innumerable receipts kept on scraps of paper, dispersed in local, county, and state archives, enable us to trace not only the afterlife of a singular Moravian rifle but also the disarmament process itself in which military officers entered a home, lawfully but surely without a warm welcome, and took a musket or rifle that the homeowners considered their property.
INVESTIGATION OF THE INFLUENCE OF HEAT AND STEAM OUTPUT OF A BOILER UNIT ON GROSS EFFICIENCY AND COAL CONSUMPTION
Authors: Yermolenko M. V. , Stepanova O. A. , Demin N. A. , Umyrzhan T. N. , Aldajumanov Zh. K. 
Published: April 2023

Despite the fact that more and more attention is being paid to the development of nontraditional and renewable energy all over the world, the coal industry continues to be one of the most important industries for the Republic of Kazakhstan. All the main branches of the coal industry are represented in Kazakhstan: mining and processing 3,3 percent of the world's coal reserves are concentrated in the Republic. This paper presents a study of the combustion processes of Karazhyrin coal grade D (lower calorific value is in the range from 18855 to 21788 kJ/kg), which is non-design fuel. The studies were carried out on the operating boiler E-90-3,9/440 at various steam outputs in order to compile a regime map of the boiler. This coal is used not only in the region, but also outside it. In the course of the study, the dependences of the coefficient of performance (COP) of the gross boiler unit on the heat output and steam output were established.As a result of the mathematical processing of the obtained experimental data (for three heat loads of 50 t/h, 75 t/h, 90 t/h), analytical dependencies were obtained that describe the change in gross efficiency and coal consumption depending on the heat and steam output of the boiler, at the same time, the coefficient of determination is within acceptable limits.
OPPORTUNITY PROTECTION PUTEM MONITORING THREAT SOCIAL NETWORKS
Authors: Zhidekulova G. E. , Abduvalova A. D. , Bekbolatov S. B. 
Published: April 2023

Currently, every second inhabitant of the planet is registered in Vkontakte, Whatsapp, Instagram, Skype, Periscope and other social networks. Worst of all, social media can also endanger human life. In many cases, illicit trafficking in drugs and psychotropic substances can spread through these social networks, so special attention should be paid to studying the problems of trust in information in the virtual space.Since social network analysis is a field that is practiced all over the world, it is not surprising that there are many programs, as well as the creation of a system using the Python programming language, which analyzes texts in various subject areas that our society needs and tries to monitor the entire virtual world. We can achieve this goal by introducing the necessary algorithms into a special program.In order to detect and prevent illegal actions, it was considered to organize the monitoring of social networks and the prevention of crimes organized via the Internet by creating software for monitoring social networks.The article discusses the types of cyber threats and methods of protection against them, as well as a program for monitoring social networks in the Python environment and shows its results. Based on the results obtained, he considered the possibility of prevention by identifying types of threats.