bluuebunny/crossref_metadata_2025 huggingface dataset:
Blockchain-Based Concept for Digital Transformation of Traceability Pyramid for Electrical Energy Measurement
Authors: Miličević Kruno , Tolić Ivan , Vinko Davor , Horvat Goran
Published: November 2022

Digital transformation of metrology is a holistic process that was started formally by the Joint Statement of Intent “On the digital transformation in the international scientific and quality infrastructure” signed by major metrology organisations in March 2022. With the digital transformation of metrology in motion, the questions of a seamless transition to digital representation while ensuring adherence to all the requirements of digital representation and maintaining a sustainable framework for future operations are just some of the challenges faced. To tackle these challenges, also within the concept of “more electrical world” (MEW), one technology is demonstrating high potential applicability as a possible candidate solution—blockchain technology, with its critical underlying properties (e.g., immutability, decentralisation, etc.) being fully compliant with the requirements of digital representation in metrology. Accordingly, this paper presents a blockchain-based concept for the digital transformation of the traceability pyramid for electrical energy measurement. The concept is developed in accordance with the goals of the Metroracle project. Based on the analyzed and presented state-of-the-art, the main contribution of the paper is the comprehensiveness of the concept, which encompasses the whole pyramid and describes all relevant processes and responsibilities of all stakeholders: measurement instrument (MI) owners, certificate issuers (National Accreditation Body (NAB), National laboratory (NL), Reference laboratory (RL)), MI manufacturers/developers, MI installers. The transformed pyramid is defined by Croatian metrology laws and regulations, but with smaller adjustments, it is applicable to other EU countries as well, and also to the traceability of other physical quantities, i.e., not to electrical energy only. Possible legal and technical issues are identified (amount of data, machine-readable standards and regulations, ensuring limited access, legal relevance of digital signature) and corresponding solutions presented, as well as further steps in our research and development within the Metroracle project.
Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment
Authors: Kim Min-Seon , Lim Bo-Young , Lee Kisung , Kwon Hyuk-Yoon
Published: November 2022

In this study, we propose dynamic model update methods for the adaptive classification model of text streams in a distributed learning environment. In particular, we present two model update strategies: (1) the entire model update and (2) the partial model update. The former aims to maximize the model accuracy by periodically rebuilding the model based on the accumulated datasets including recent datasets. Its learning time incrementally increases as the datasets increase, but we alleviate the learning overhead by the distributed learning of the model. The latter fine-tunes the model only with a limited number of recent datasets, noting that the data streams are dependent on a recent event. Therefore, it accelerates the learning speed while maintaining a certain level of accuracy. To verify the proposed update strategies, we extensively apply them to not only fully trainable language models based on CNN, RNN, and Bi-LSTM, but also a pre-trained embedding model based on BERT. Through extensive experiments using two real tweet streaming datasets, we show that the entire model update improves the classification accuracy of the pre-trained offline model; the partial model update also improves it, which shows comparable accuracy with the entire model update, while significantly increasing the learning speed. We also validate the scalability of the proposed distributed learning architecture by showing that the model learning and inference time decrease as the number of worker nodes increases.
Real-Time Vehicle Classification System Using a Single Magnetometer
Authors: Sarcevic Peter , Pletl Szilveszter , Odry Akos
Published: November 2022

Vehicle count and classification data are very important inputs for intelligent transportation systems (ITS). Magnetic sensor-based technology provides a very promising solution for the measurement of different traffic parameters. In this work, a novel, real-time vehicle detection and classification system is presented using a single magnetometer. The detection, feature extraction, and classification are performed online, so there is no need for external equipment to conduct the necessary computation. Data acquisition was performed in a real environment using a unit installed into the surface of the pavement. A very large number of samples were collected containing measurements of various vehicle classes, which were applied for the training and the validation of the proposed algorithm. To explore the capabilities of magnetometers, nine defined vehicle classes were applied, which is much higher than in relevant methods. The classification is performed using three-layer feedforward artificial neural networks (ANN). Only time-domain analysis was performed on the waveforms using multiple novel feature extraction approaches. The applied time-domain features require low computation and memory resources, which enables easier implementation and real-time operation. Various combinations of used sensor axes were also examined to reduce the size of the classifier and to increase efficiency. The effect of the detection length, which is a widely used feature, but also speed-dependent, on the proposed system was also investigated to explore the suitability of the applied feature set. The results show that the highest achieved classification efficiencies on unknown samples are 74.67% with, and 73.73% without applying the detection length in the feature set.
A Novel Approach for Multichannel Epileptic Seizure Classification Based on Internet of Things Framework Using Critical Spectral Verge Feature Derived from Flower Pollination Algorithm
Authors: Yedurkar Dhanalekshmi Prasad , Metkar Shilpa P. , Al-Turjman Fadi , Stephan Thompson , Kolhar Manjur , Altrjman Chadi
Published: November 2022

A novel approach for multichannel epilepsy seizure classification which will help to automatically locate seizure activity present in the focal brain region was proposed. This paper suggested an Internet of Things (IoT) framework based on a smart phone by utilizing a novel feature termed multiresolution critical spectral verge (MCSV), based on frequency-derived information for epileptic seizure classification which was optimized using a flower pollination algorithm (FPA). A wireless sensor technology (WSN) was utilized to record the electroencephalography (EEG) signal of epileptic patients. Next, the EEG signal was pre-processed utilizing a multiresolution-based adaptive filtering (MRAF) method. Then, the maximal frequency point at which the power spectral density (PSD) of each EEG segment was greater than the average spectral power of the corresponding frequency band was computed. This point was further optimized to extract a point termed as critical spectral verge (CSV) to extract the exact high frequency oscillations representing the actual seizure activity present in the EEG signal. Next, a support vector machine (SVM) classifier was used for channel-wise classification of the seizure and non-seizure regions using CSV as a feature. This process of classification using the CSV feature extracted from the MRAF output is referred to as the MCSV approach. As a final step, cloud-based services were employed to analyze the EEG information from the subject’s smart phone. An exhaustive analysis was undertaken to assess the performance of the MCSV approach for two datasets. The presented approach showed an improved performance with a 93.83% average sensitivity, a 97.94% average specificity, a 97.38% average accuracy with the SVM classifier, and a 95.89% average detection rate as compared with other state-of-the-art studies such as deep learning. The methods presented in the literature were unable to precisely localize the origination of the seizure activity in the brain region and reported a low seizure detection rate. This work introduced an optimized CSV feature which was effectively used for multichannel seizure classification and localization of seizure origination. The proposed MCSV approach will help diagnose epileptic behavior from multichannel EEG signals which will be extremely useful for neuro-experts to analyze seizure details from different regions of the brain.
An Efficient Multi-Dimensional Resource Allocation Mechanism for Beam-Hopping in LEO Satellite Network
Authors: Guo Shengjun , Han Kai , Gong Wenbin , Li Lu , Tian Feng , Jiang Xinglong
Published: November 2022

Low Earth Orbit (LEO) satellite communication networks have become an important means to provide internet access services for areas with limited infrastructure. Compared with the Geostationary Earth Orbit (GEO) satellites, the LEO satellites have limited on-board communication caching and calculating resources. Furthermore, the distribution of traffic requests is dynamically changing and uneven due to the relative movement between the LEO satellites and the ground. Therefore, how to schedule the multi-dimensional resources is an important issue for the LEO satellite communication networks. Beam-hopping is an efficient approach to improve the resource utilization by dynamically allocating time, power, and frequency according to the traffic requests. This paper proposes an efficient multi-dimensional resource allocation mechanism for beam-hopping in LEO satellite networks, which simultaneously satisfies the GEO interference avoidance. First, we construct the beam-hopping model of LEO satellites, and formulate the resource optimization problem. Second, we provide the weighted greedy strategy to determine the illumination pattern. In order to reduce the search space, the cells are clustered to non-interference clusters. Then, an improved genetic algorithm is provided to jointly allocate the communication resources. Finally, we construct various simulations to evaluate our proposed mechanism. Compared with the random-BH, polling-BH and traditional genetic algorithm, our algorithm achieves better performance in terms of both system throughput, access success rate, average delay and fairness between cells. The performance improvement is more significant in scenarios where traffic demand is unevenly distributed.
Malware Detection in Internet of Things (IoT) Devices Using Deep Learning
Authors: Riaz Sharjeel , Latif Shahzad , Usman Syed Muhammad , Ullah Syed Sajid , Algarni Abeer D. , Yasin Amanullah , Anwar Aamir , Elmannai Hela , Hussain Saddam
Published: November 2022

Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, malware detection becomes an important issue in IoT devices. An effective, reliable, and time-efficient mechanism is required for the identification of sophisticated malware. Researchers have proposed multiple methods for malware detection in recent years, however, accurate detection remains a challenge. We propose a deep learning-based ensemble classification method for the detection of malware in IoT devices. It uses a three steps approach; in the first step, data is preprocessed using scaling, normalization, and de-noising, whereas in the second step, features are selected and one hot encoding is applied followed by the ensemble classifier based on CNN and LSTM outputs for detection of malware. We have compared results with the state-of-the-art methods and our proposed method outperforms the existing methods on standard datasets with an average accuracy of 99.5%.
Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures
Authors: Kumar M. Rupesh , Vekkot Susmitha , Lalitha S. , Gupta Deepa , Govindraj Varasiddhi Jayasuryaa , Shaukat Kamran , Alotaibi Yousef Ajami , Zakariah Mohammed
Published: November 2022

Dementia affects the patient’s memory and leads to language impairment. Research has demonstrated that speech and language deterioration is often a clear indication of dementia and plays a crucial role in the recognition process. Even though earlier studies have used speech features to recognize subjects suffering from dementia, they are often used along with other linguistic features obtained from transcriptions. This study explores significant standalone speech features to recognize dementia. The primary contribution of this work is to identify a compact set of speech features that aid in the dementia recognition process. The secondary contribution is to leverage machine learning (ML) and deep learning (DL) models for the recognition task. Speech samples from the Pitt corpus in Dementia Bank are utilized for the present study. The critical speech feature set of prosodic, voice quality and cepstral features has been proposed for the task. The experimental results demonstrate the superiority of machine learning (87.6 percent) over deep learning (85 percent) models for recognizing Dementia using the compact speech feature combination, along with lower time and memory consumption. The results obtained using the proposed approach are promising compared with the existing works on dementia recognition using speech.
Research on Non-Pooling YOLOv5 Based Algorithm for the Recognition of Randomly Distributed Multiple Types of Parts
Authors: Yu Zehua , Zhang Ling , Gao Xingyu , Huang Yang , Liu Xiaoke
Published: November 2022

Part cleaning is very important for the assembly of precision machinery. After cleaning, the parts are randomly distributed in the collection area, which makes it difficult for a robot to collect them. Common robots can only collect parts located in relatively fixed positions, and it is difficult to adapt these robots to collect at randomly distributed positions. Therefore, a rapid part classification method based on a non-pooling YOLOv5 network for the recognition of randomly distributed multiple types of parts is proposed in this paper; this method classifies parts from their two-dimensional images obtained using industrial cameras. We compared the traditional and non-pooling YOLOv5 networks under different activation functions. Experimental results showed that the non-pooling YOLOv5 network improved part recognition precision by 8% and part recall rate by 3% within 100 epochs of training, which helped improve the part classification efficiency. The experiment showed that the non-pooling YOLOv5 network exhibited improved classification of industrial parts compared to the traditional YOLOv5 network.
Regional Investment Preferences and Corporate Cash Holdings: Evidence from China
Authors: Wang Junkai , Liang Guanhua
Published: November 2022

Based on the sample of Chinese A-share listed companies from 2006 to 2020, this paper studies the impact of regional investment preference on corporate cash holdings. We find that the stronger the investment preference in the region where the company is located, the higher the level of the company’s cash holdings. After a series of robustness tests, such as the instrumental variable method and propensity score matching method, the main regression results of this paper remain unchanged. The mechanism test shows that the regional investment preference can increase the preventive cash holding and strategic cash holding motivation of enterprises so as to improve the cash holding level of companies. Further research shows that strict internal control and external supervision can weaken the impact of regional investment preference on corporate cash holdings. This paper not only enriches the research on the factors affecting enterprise cash holding but also deepens the theoretical cognition of the impact of the regional environment on corporate governance.
Rickettsial Agents Associated with Ectoparasites in Attica, Greece
Authors: Liodaki Maria , Angelakis Emmanouil , Spanakos Gregory , Papadogiannaki Ioanna , Samarkos Michael , Daikos George L. , Christopoulou Barbara , Piperaki Evangelia-Theophano
Published: November 2022

The bacteria of the families Rickettsiaceae and Anaplasmataceae, harbored by arthropod vectors, may cause disease in animals and humans. The aim of this study was to screen ectoparasites collected from cats and dogs in Attica, Greece for the bacteria of the Rickettsiales group, by molecular methods. The ectoparasites examined were Ctenocephalides felis fleas and Rhipicephalus sanguineus s.l., Rhipicephalus sp., and Ixodes sp. ticks. Rickettsia felis was detected in 4.8% of C. felis fleas, and Rickettsia conorii was detected in 7.3% of R. sanguineus s.l. ticks. Ehrlichia canis was found in one R. sanguineus s.l. tick, and Wolbachia pipientis was detected in the majority of fleas. Another endosymbiont, Cancidatus Midichloria mitochondrii (Cancidatus Midichloriaceae), was detected in one Ixodes sp.. This is the first report of R. conorii and E. canis in R. sanguineus s.l. ticks in this study area. Given the fact that Greece is considered endemic for spotted fever group rickettsioses, further investigation of these rickettsial pathogens’ distribution in their vectors and hosts could enhance our knowledge of their epidemiology, in order to assess their potential implications for public health in this metropolitan area.
Legal support for the digital economy in the Russian Federation: legal policy priorities
Authors: Novitsky Alexander S. , Bondarev Andrey V. , Dobritsky Alexander A. , Tyurin Igor Yu. , Komarov Yuri V.
Published: November 2022

The paper attempts to analyze the role and importance of law in the development of the digital economy, as well as enforcement and incentive measures. This is a descriptive study, and an overview of the most important normative acts regulating the development of the digital economy in Russia is given. Various aspects of the reverse impact of the digital economy on the law itself are considered. The conclusion is made that many risks and dangers are exaggerated, but there are also real threats to the harmonious development of society, including technocratism, mechanisticism, transhumanism, the destruction of traditional values, the transformation of justice into an algorithm, and information extremism.
Pertanggung Jawaban Pidana Kasus Korupsi oleh Direktur PT Beringin Bangun Utama dalam Surat Putusan No. 64/Pid.Sus/Tpk/2016/Pn.Bgl
Authors: Sianturi Ronald Hasudungan , Sitompul Yuli Rosanti Sartika , Rizki Rima Ara
Published: November 2022

This study aims to determine the criminal responsibility for corruption cases by the director of PT Beringin Bangun Utama (Study of Decision Number 64/Pid.Sus/TPK/2016/PN.Bgl). The problem is focused on the form of losses suffered by the state, penalties and criminal responsibility for corruption cases by the director of PT Beringin Bangun Utama. In order to approach the problem, normative juridical theory is used as a reference. The data were collected through literature studies, decisions and previous research and then analyzed qualitatively. This study concludes that losses to the state caused by the actions of the director of PT Beringin Bangun Utama in the financial and economic sectors are elements that are included in the category of a criminal act of corruption. The legal action given is in the form of disbanding the corporation, confiscation of documents and being threatened with crime in accordance with Article 2 Paragraph (1) in conjunction with Article 20 in conjunction with Article 18 of Law no. 31 of 1999 concerning the Eradication of Corruption Crimes which has been amended by Law no. 20 of 2001 concerning Amendments to Law No. 31 of 1999 concerning the Eradication of Criminal Acts of Corruption. And in the second indictment where the defendant was threatened with a crime in Article 3 in conjunction with Article 6 in conjunction with Article 7 of Law no. 8 of 2010 concerning the Prevention and Eradication of the Crime of Money Laundering.
Peran Kepolisian Dalam Penegakan Hukum Tindak Pidana Menguasai Lahan Perkebunan di Wilayah Hukum Polres Langkat
Authors: Kusuma Juanda , Warman Edi , Siregar Taufik
Published: November 2022

The purpose of this paper is to examine and analyze the rule of law, the role of the Langkat Police and its obstacles regarding the crime of plantation land in the Langkat Police Legal Area. The research method uses normative juridical research by analyzing legislation and conceptual analysis with descriptive data analysis. The results of this study indicate that the rule of law regarding control of plantation land is regulated in the provisions of Law no. 39 of 2014 concerning Plantations, where the threat of imprisonment is regulated in the provisions of Article 107 is sentenced to a maximum imprisonment of 4 years or a maximum fine of 4,000,000,000 (four billion rupiah), the role played by the Langkat Police in law enforcement of the crime of controlling plantation land namely referring to Law no. 2 of 2002 concerning the Police, and the obstacles faced by the Langkat Police in law enforcement of the crime of controlling plantation land, which consist of obstacles from the rule of law, obstacles from law enforcement, and obstacles from facilities and infrastructure.
Pengaruh Kompetensi dan Komunikasi Pelaksanaan Work From Home terhadap Kinerja Aparatur Sipil Negara di Lingkungan Dewan Perwakilan Rakyat Daerah Provinsi Sumatera Utara di Masa Pandemi Covid-19
Authors: Sutanti Hesti , Matodang Sofiyan , Marpaung Fenny Krisna
Published: November 2022

The purpose of this study was to determine the effect of competence on the performance of the State Civil Apparatus (ASN) during Work From Home (WFH) during the pandemic and the effect of communication on the performance of ASN during WFH during the pandemic and to analyze the factors inhibiting performance (ASN) in the Council Environment. Regional People's Representatives (DPRD) of North Sumatra Province (Provsu). This research uses ASN Competency Theory, ASN Performance and Communication. This research was conducted at the Provincial DPRD Office. The research method used in this research is correlational quantitative. The population in this study were civil servants at the provincial government DPRD office which accommodated 106 people. Sampling in this study using total sampling. The results of this study include: (1) There is an effect of ASN Competence on ASN Performance in the Provincial DPRD Environment during the pandemic period of 0.707. the second variable is positive and strong (2) There is an influence of ASN Communication on the performance of ASN in the DPRD Pemprovsu environment of 0.383. The level of correlation is low but definite between ASN communication variables and ASN performance during WFH in the DPRD Pemprovsu environment; (3) Factors that hinder performance are abilities that are motivated by differences in generations which are dominated by the Baby Boomer Generation over 45 years old, lack of motivation, ability to use technology, so that it has obstacles in production development.
Strategi Dinas Ketenagakerjaan dalam Meningkatkan Kesempatan Kerja bagi Penyandang Disabilitas di Kabupaten Sidoarjo
Authors: Hariyanti Kiki , Sukmana Hendra
Published: November 2022

This study aims to determine the Strategy of the Manpower Office in Increasing Employment Opportunities for Persons with Disabilities. The sampling technique in this study is snowball sampling technique. The approach in this study uses a qualitative approach with a descriptive method. Important insights were obtained through interviews and observations related to the strategy of the Sidoarjo Regency Manpower Office in developing the employment potential of persons with disabilities. Meanwhile, optional information is collected through reports such as Sidoarjo Disnaker Records, Related Domain Records, Principles and Regulations, Widely Communicated Data, Other Information and Data on the employment potential of persons with disabilities. The primary data was tried through the Triangulation Technique. The Triangulation technique used in this examination is to compare observational information and interview information and compare with the content of related documents.  From the results of this study, it is shown by the results of interviews from various parties, that the provisions of the Sidoarjo Regency regulations on Persons with Disabilities are still not optimally determined.  There are contributing factors that cause the employment opportunities of people with disabilities to be narrow, one of which is the low level of education.
Manajemen Pengadaan Operasional Logsitik dan Distribusi Pemilu 2019 pada Komisi Pemilihan Umum Kota Balikpapan
Authors: Lumban Gaol Eva Yunita
Published: November 2022

This article aims to find out and analyze management of Procurement of Logistics Operations and distribution of logistics for the 2019 election as well as analyzing obstacles in the procurement and distribution of Election Operations. The procedure for collecting information is by collecting and summarizing data that is not recorded in numbers but in the form of an explanation that is described and analyzed descriptively with a qualitative approach. Data obtained through interviews and library documents. The problem is focused on four main indicators in logistics distribution to support the completeness of the 2019 Election, namely, Logistics Management, Budget certainty, procrutment and logistics distribution. Therefore, logistics management and distribution have a very important role for the successful completion of the 2019 election, where the processes involved are interrelated with one another. The theory used in this problem is from Bowersox (2002) which states that the main logistics characteristics of logistics activities are the integration of various sizes and demands formovementand storage. The results of the research prove that due to a lack of communication between the Balikpapan City KPU and the RI KPU along with logistics providers, some of the logistics equipment is procured late, so that the arrival of logistics from providers does not coincide causing the logistics system to not work properly, obstacles in pawning and distribution of Election Operations namely the intervention of the commissioner in terms of procurement and raising prices in the appointed procurement directly resulted in state losses that had to be returned, and the lack of sending ballots caused delays in logistics and minimal transportation personnel, so that it became an obstacle in the distribution of logistics.
Peranan Kantor Pertanahan dalam Perlindungan Lahan Pertanian Pangan Berkelanjutan di Kota Tebing Tinggi
Authors: Hulu Fonaha , Mardayanti Imelda
Published: November 2022

This research is a descriptive study of the role of the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency in providing protection for sustainable food agricultural land for the people in the city of Tebing Tinggi. Data preparation for Sustainable Food Agriculture Land (LP2B) is carried out through inventory, identification, and data processing activities for Sustainable Food Agriculture areas. This activity is in line with the duties and functions of the Land Arrangement Division of the Provincial BPN Regional Office as well as the District/City Land Office Arrangement section. This research method is qualitative with data collection carried out through document studies and interviews. The City of Tebing Tinggi does not yet have a Regional Regulation or Mayor's Regulation that regulates the planning, determination and protection of Sustainable Food Agricultural Land (LP2B) and Regional Regulations on Detailed Spatial Planning (RTDR), even though the determination of Sustainable Food Agricultural Land is part of the stipulation in the form of a plan. detailed spatial layout of the regency/city. Socialization (LP2B) in the City of Tebing Tinggi has not been optimal. More intensive collaboration and communication between agencies that are stakeholders related to the protection of Sustainable Food Agricultural Land (LP2B) is also not optimal.
Strategi Alokasi Dana Direktorat Mitras DUDI dalam Membangun Agenda Publik melalui Media Massa
Authors: Sirait Nikky Partogi , Elfandari Prisca Niken Dewi , Cahya Muhammad Alvian
Published: November 2022

The Directorate of Mitras DUDI was formed as a bridge that connects vocational education graduates with the business world and the industrial world. The main task is to design a vocational education revitalization policy to meet industrial needs in accordance with the challenges of the Industrial Revolution 4.0, so that vocational graduates can be directly absorbed into the world of work. To be able to establish good cooperation with the business world and the industrial world, the Mitras DUDI Directorate needs to form a good image and gain public trust. This study aims to examine the communication strategy of the Mitras DUDI Directorate in the process of agenda building through mass media, including the strategy of determining budget allocations and realizing the use of budgets based on mass media categories. The theory used is Political Branding Theory which analyzes how government institutions use mass media to form an image, and Cultivation Theory which examines the application of budget allocation preparation to distribute information massively to the public through mass media. This research is descriptive qualitative, using data collection methods in the form of interviews and literature studies. The results of this study describe the communication strategy used by the Mitras DUDI Directorate which is strengthened by the implications obtained in the field from the results of the research. The use of the right budget to convey structured and consistent information is believed to be an effective way to build a public agenda and create a good image for the Mitras DUDI Directorate.
Pelatihan Self Efficacy Untuk Meningkatkan Readiness for Change pada Teknisi di PT “X” Bandung
Authors: Permadi Azalia Cindy , Savitri Jane , Kuntari Indah Soca
Published: November 2022

This research is aimed at investigating the impact of the Self-Efficacy Training to Improve Readiness for Change on the technicians of “X” Ltd.. The research instrument used was Holt’s (2003) RFCQ II questionnaire which has been modified by Puspitasari with the validity number of 0.321 to 0.807 and reability number of 0.843. The validity test of the research tool was conducted using the construct validity. The quantitative research method was employed to analyze the data obtained in this research. The research result has shown that there is a difference in the self-efficacy scores obtained by the experimental group consisting of Telkom Ltd. technicians before and after the training. A theoretical suggestion for following research is to conduct explorative research to find out other factors affecting the dimension of appropriateness. This is so that an effective training program can be arranged to increase the aforementioned dimension. A practical suggestion for Telkom Akses Ltd. is that the self- efficacy training is not only held for the company’s units in West Java Area, but also for all units in its other operating areas all over Indonesia.
Pengaruh Reward dan Punishment Guru terhadap Resiliensi Anak Usia Dini Kelompok B di Taman Kanak-kanak Negeri Pembina Kabanjahe
Authors: Saragih Agustina Phipeliny , Menanti Asih , Surbakti Amanah
Published: November 2022

This study aims to determine the effect of giving rewards and punishments to the resilience of the children of the TK Negeri Pembina Kabanjahe TA. 2020/2021. The research method is a quantitative descriptive correlational type by placing the research variables in two groups, namely the independent variable and the dependent variable. The research population is the children of the Kabanjahe State Kindergarten. The sampling technique used was the Saturated Sampling technique with a selected sample size of 30 children, the data collection method used an observation sheet for giving rewards, giving punishment, and child resilience. Analysis of research data shows that (1) there is a significant effect between reward giving and children's resilience as indicated by the coefficient R = 0.521 and p = 0.000, namely p < 0.05; (2) there is a significant effect of giving punishment to children's resilience, which is indicated by the coefficient R = 0.655 and p = 0.008, namely p <0.05 and (3) there is a significant effect of giving rewards and giving punishment to children's resilience which is indicated by the coefficient F = 21.596 and R (regression coefficient) = 0.657 while R2 = 0.431 with p < 0.05 and Std. Error of the Estimate 6,1055, The accuracy rate is 100% - 6,1055= 93,8945%. The analysis used is Multiple Regression Analysis and Wilcoxon.parental support; self-concept; and self-confidence of students.
Implementasi Kebijakan Sistem Pelaporan Terintegrasi Aplikasi Software Pada Bidang Sumber Daya Aparatur Pada Satuan Polisi Pamong Praja Provinsi Sumatera Utara
Authors: Nasution Muhammad Faiys , Zainuddin Zainuddin , Hartono Budi
Published: November 2022

This study aims to find out and analyze: Implementation of an integrated reporting system software application in the field of apparatus resources in the civil service police unit of North Sumatra Province and what factors are the obstacles in implementing an integrated reporting system software application in the field of apparatus resources in the police unit. civil service of North Sumatra Province. The method used is descriptive qualitative with a phenomenological approach to Employee Performance Improvement at the Regional Personnel Board of North Sumatra Province. Thus the researcher becomes the interpreter of the interview findings, documentation and also observations during the process. The results of the study stated that Communication in the Civil Service Police Unit of North Sumatra Province needs to be intensively improved so that the Integrated Reporting System Application Software can provide optimal results by monitoring activities in the Regency / City on a regular basis in order to understand and know the existing programs. in the Civil Service Police Unit located in the Regency / City. The disposition or attitude of policy implementers should know what to do and be able to implement it so that in practice there is no bias or ambiguity. Resources are one of the supporting factors in policy implementation, therefore in order to achieve policy implementation it is necessary to provide adequate resources in order to support the policy implementation process.
Efektivitas Pengelolaan Anggaran Tahun 2021 terhadap Capaian Kinerja Dinas Pemberdayaan Perempuan Perlindungan Anak dan Keluarga Berencana (DP3AKB) Kabupaten Aceh Barat
Authors: Ameliya Hilda , Husna Cut Asmaul
Published: November 2022

This article aims to find out how the effectiveness of budget management in 2021 on the performance achievements of the women's empowerment agency, child protection and family planning in West Aceh Regency, in implementing budget management for an agency to make it easier to complete an activity or program that is being carried out with the existing budget. This budget preparation guide refers to government regulations and is guided by the DPA, in managing this budget DP3AKB cooperates with BAPPEDA and BPKD Aceh Barat Regency. This research uses a qualitative method with a descriptive approach, then the data collection is done by interview, observation and documentation, the data taken by the researcher is data from the Financial Report, LAKIP and DP3AKB Work Plan. The results of the study explain that the effectiveness of budget management is not yet fully effective, because there is still a lack of adequate human resources.
Analisis Pengaruh Faktor Individu, Budaya Organisasi dan Insentif terhadap Kinerja Pegawai pada Sekretariat Daerah Kabupaten Aceh Tenggara
Authors: Syahputra Jalaluddin Ibrahim , Lubis Yusniar , Hartono Budi
Published: November 2022

This study is the result of a quantitative study that aims to answer how individual factors, organizational culture, and incentives simultaneously and partially affect the performance of the employees of the Regional Secretariat of Southeast Aceh Regency. Research data were collected through initial observations and filling out a list of statements by respondents who were designated as samples in this study. Further analyzed by quantitative analysis. In the F test the results state that simultaneously there is a significant influence between Individual Factors (X1), Organizational Culture (X2), and Incentives (X3) on the Performance (Y) of the Regional Secretariat of Southeast Aceh Regency employees. The t-test shows that there is no significant impact of Individual Factors (X1) and Organizational Culture (X2) on Performance (Y). Meanwhile, there is a significant impact of Incentives (X3) on Performance (Y). So that the Incentive becomes the variable that has the most impact on performance. In line with the conclusions above, it is recommended to take a more performance-based approach through the application of fair rewards and sanctions (punishment) to the State Civil Apparatus at the Regional Secretariat of Southeast Aceh Regency.
Optimalisasi Fungsi Reserse Kriminal dalam Menangani Tindak Pidana Pemerasan di Kepolisan Sektor Belawan
Authors: Hutapea Marlon Dobik , Zulyadi Rizkan , Ramadhan M. Citra
Published: November 2022

The purpose of this study was to determine the function of the criminal investigator, barriers to implementation and the relationship of law enforcement carried out by the Belawan Sector Police with Community Culture in overcoming the crime of extortion in the Belawan area. The type of research used is normative juridical (legal research) by examining various formal legal rules, which are then linked to the research objectives. Sources of data used are secondary data in the form of primary legal materials, secondary legal materials and tertiary legal materials. The results of the study found that the Medan Belawan Police in carrying out the law enforcement function of the Police and implementing the protection function had several strategies/criminal policies in overcoming the rampant criminal acts of extortion, both preventive and repressive efforts. The obstacles faced by law enforcement can be divided into internal and external barriers. Internal barriers and external barriers. The relationship between criminal law enforcement is not only pursuing the principle of formal law enforcement, but if there is room or opportunity to prevent criminal acts from happening, this is certainly better to implement. This means that the police protection function must be maximized through programs to prevent the occurrence of criminal acts in the community.
Perencanaan dan Pengembangan Mobile Learning Berbasis Website pada Mata Kuliah Organisasi dan Manajemen
Authors: Hasim Rahman , Annisa Azizah Mujahidah , Adrianto Adrianto
Published: November 2022

Mobile learning provides benefits including providing the latest facilities and library resources, as well as making it easy to access (when, where, and by anyone) without space and time limits, supporting student-centered learning processes, providing a variety of learning resources, and as a learning medium. independent. The purpose of this research is how the planning and development stage of website-based mobile learning in Organization and Management courses as an innovative learning medium in the State Administration (S1) study program, FHISIP Universitas Terbuka. This researcher uses the Research and Development (R&D) type of research. The making of mobile learning media is adapted from the Borg & Gall (2003) model which consists of ten stages and then summarized into three parts, namely planning, development, and evaluation. This research focuses on the planning and development section. Data collection techniques in this study used questionnaires and interviews. The results of this study are the design of the website display and the making of learning videos and then testing the effectiveness of the learning media that is being developed.
Strategi Penyuluh Agama Islam dalam Meningkatkan Pemahaman Agama Masyarakat di Kota Medan
Authors: Wikanda Fauji
Published: November 2022

The objective of this article to find out the strategy of the Islamic counseling in increasing people`s understanding in religion in Medan. The sampling technique in this study used the technique of Snowball sampling. The researcher selects the informants according to the sample category by following the suggestions and recommendations of the key informants, followed by the informants appointed by the key informants. Regarding the performance of extension workers in the Ministry of Religion of Medan City, the author directly met the Chair of the Pokjaluh Ministry of Religion of Medan City as the key informant. The method in this study uses a qualitative approach, namely the descriptive method. The problem is focused on the strategy of Islamic religious instructors in increasing religious understanding of the people in the city of Medan. Data collection techniques through triangulation techniques. namely comparing observation information, interviews with the contents of related documents. Based on the analysis and the data in the field, it is found that, first, Islamic counseling consists of 8 (eight) specializations – eradicating the Koran alliteration, halal products, radicalism and splinter groups, peaceful family, HIV/AIDS & drung, zakat (charity), waqf, and reconciliation of religius people; secondly, the strategy of Islamic counseling in increasing people`s understanding religion in medan has been successful.
Uma revisão dos modelos mnêmicos e evidências sobre o efeito dos afetos e do contexto na memória
Authors: Marques Louise , Barrozo de Andrade Lucas , Carolina Portugal Anna , Anunciação Luis , Landeira-Fernandez J.
Published: November 2022

A memória é uma função psicológica extremamente complexa. Diversos modelos teóricos estão presentes na literatura, os quais, por sua vez, visam explorar e descrever processos de codificação, consolidação e evocação. No entanto, a organização desses modelos ainda é incipiente, o que dificulta o estabelecimento da conexão entre eles. Por conseguinte, este trabalho visa apresentar e conectar tais modelos teóricos, bem como discutir as principais evidências do efeito do contexto interno (estado) e externo sobre a memória.
Notas sobre a possibilidade de reflexos agostinianos na conceituação de teofania em João Escoto Erígena
Authors: Pignatari Roberto Carlos
Published: November 2022

Embora explicitada em vários momentos ao longo da obra de Erígena, a presença do pensamento agostiniano em suas especulações centrais nem sempre é manifesta e segura. A partir da ontologia relacional trabalhada por Agostinho no De Trinitate IX-XII, com base em sua redefinição da categoria aristotélica de relação no livro V desta obra, pretendemos apontar para seus possíveis reflexos na herança patrística operada por Erígena no Periphyseon I, iniciando pela polaridade central ser – não-ser, onde toma corpo a noção de ser como expressão perceptível e dizível, e na qual os polos são ditos e inteligidos unicamente de modo relacional recíproco; caminhando pela conceituação de natureza como expressão das coisas que são e, portanto, existem e são cognoscíveis (ao contrário das essências, incognoscíveis); e culminando na cristalização do conceito epicentral de seu pensamento: teofania, pelo qual se vislumbra a realidade natural como expressão divina, em que o Criador se expressa criando (e se manifestando, portanto dando-se a ser conhecido na) a natureza.

Palavras-chave: Ser, Expressão, Relação, Teofania, João Escoto Erígena.
Al-Kindi leitor da "teologia de Aristóteles"
Authors: Klik Arthur
Published: November 2022

Este artigo procura investigar um encontro bastante curioso de tradições. Neste caso em particular, sobre como uma paráfrase da obra de Plotino, de autoria atribuída a Aristóteles, poderia ter influenciado na elaboração de um esquema argumentativo que, aparentemente, visava utilizar a Herança grega recebida pelos árabes no século VI, em questões inerentes ao contexto de disputa intelectual do Islã nascente. Mais especificamente, nosso trabalho se aprofunda em algumas relações que se pode levantar entre a obra Teologia de Aristóteles, uma paráfrase das Enéadas de Plotino que circulou entre os árabes do período, e a Filosofia Primeira de Al-Kindi, famosa obra inacabada, cuja primeira parte (texto que nos chegou), se destina a apontar como a investigação dos fundamentos da natureza leva a compreensão do que ele chama de "Um Verdadeiro", o princípio que sustenta todo o Universo como seu fundamento criador. Embora inacabada, a primeira parte desta obra de Al-Kindi já indica sua inclinação em utilizar elementos da Teologia de Aristóteles no sentido de elaborar o que podemos chamar de uma prova da existência de Deus.

 

Palavras-chave: Teologia, Unidade, Multiplicidade, Falsafa, Filosofia primeira.
Divina Caligo: l'influenza dello Pseudo-Dionigi nel neoplatonismo fiorentino
Authors: Molinari Jonathan
Published: November 2022

Con questa ricerca vorremmo soffermarci su quattro punti che riteniamo fondamentali per la comprensione dell'influenza delle fonti neoplatoniche nella Firenze del Quattrocento. Il punto di partenza è l'analisi dei rapporti tra i due massimi esponenti del neoplatonismo fiorentino: Pico della Mirandola e Marsilio Ficino, autori fondamentali non solo per le loro interpretazioni, ma anche per aver riscoperto e tradotto, dopo secoli di silenzio, i tesori del pensiero greco. Non si comprenderebbe l'influenza delle fonti neoplatoniche antiche nel Quattrocento senza rendere conto del confronto – spesso molto aspro – tra i due protagonisti pricipali della riscoperta rinascimentale di Platone e di tutta la tradizione neoplatonica. Il secondo punto affronta un'importante interpretazione in senso tomista dell'opera di Pico, quella di Giovanni di Napoli, che aiuta ad intendere tanto le differenze tra il mirandolano e Ficino, quanto ad introdurre all'influenza importantissima dello Pseudo-Dionigi in tutto il dibattito filosofico del tardo Quattrocento. Il terzo punto cerca di affrontare un tema fondamentale: l'esigenza di definire e organizzare nuovi ordini del sapere. Dal recupero del passato emergevano nuove contraddizioni e nuove esigenze, non si trattava affatto di una semplice imitazione dell'antico, ma al contrario, significava farlo rivivere in nuove forme e costruire nuovi sistemi dei saperi capaci di rispondere alle esigenze culturali e politiche che stavano alla base della nascita del moderno. L'ultimo punto riguarda invece un'analisi specifica tra il pensiero di Giovanni Pico e lo Pseudo-Dionigi, discorso che ovviamente comporta anche l'analisi di altre fonti fondamentali, in particolare Damascio.

 

 Parole chiave: Neoplatonismo fiorentino, Giovanni Pico, della Mirandola, Marsilio Ficino, Pseudo-Areopagita
Corpo, Discurso e Cidade
Authors: Gumes Nadja Vladi , Gusmão Roney
Published: November 2022

A articulação simbiótica corpo-discurso-espaço nos é interessante para observar como a imagem e a música nos videoclipes criam possibilidades de contestação dos regimes de poder. Para esta análise, situamos historicamente os videoclipes e o modo como a ambiência urbana é a eles aderida como possibilidade de re-criação de identidades. A partir desta ideia, analisamos a artista Larissa Luz e o modo como o corpo-discurso é disposto no espaço de modo a produzir instabilidades códigos estéticos de poder.