bluuebunny/crossref_metadata_2025 huggingface dataset:
Model Sistem Pakar Untuk Mendiagnosa Penyakit Penyebab Penurunan Produksi Telur Ayam Breeding Berbasis Web
Authors: Ginanta Andhang Ganung
Published: July 2022

Abstrak.  Usaha peternakan unggas di Indonesia saat ini mulai berkembang dengan pesat, ditandai dengan berdirinya perusahaan peternakan unggas yang modern. Akan tetapi penyakit merupakan faktor penyebab penurunan poduktivitas telur. Setidaknya terdapat 4 penyakit yang menyebabkan turunnya produktivitas telur ini yang sering dijumpai para peternak yaitu Newcastle Disease (ND), Avian Influenza (AI), Infectious Bronchitis (IB), dan Egg Drop Syndrom (EDS). Penyaki-penyakit tersebut biasanya sulit untuk didiagnosis oleh peternak karena ciri-ciri dan gejala yang hampir sama, sehingga menyullitkan para peternak untuk mengambil tindakan pencegahan. Artikel ini menyajikan model sistem pakar dengan menggunakan metode backward chaining sebagai media konsultasi para peternak. Hasil penelitian berupa informasi penyakit yang diderita dan solusi penanganannya, diharapkan dengan adanya sistem pakar ini para peternak bisa lebih berhati-hati saat memperkirakan penyakit ayam, dengan berkonsultasi untuk mendapatkan informasi tambahan atau solusi alternatif mengenai permasalahan yang dialaminya. Kata kunci: Sistem Pakar, Backward Chaining, Peternakan Unggas

Abstract.  Poultry farming in Indonesia is currently growing rapidly, marked by the establishment of a modern poultry farming company. However, disease is a factor that causes decreased egg productivity. There are at least 4 diseases that cause the decline in egg productivity that are often encountered by breeders, namely Newcastle Disease (ND), Avian Influenza (AI), Infectious Bronchitis (IB), and Egg Drop Syndrome (EDS). These diseases are usually difficult to diagnose by farms because of the similar characteristics and symptoms, making it difficult for farmers to take precautions. This article presents an expert system model using the backward chaining method as a media for consulting breeders. The research results are in the form of information on the disease and solutions for handling it, it is hoped that with this expert system breeders can be more careful when convicting chicken disease, by consulting to get additional information or alternative solutions regarding the problems they are experiencing. Keywords: Expert System, Backward Chaining, Poultry Farms
Implementasi Algoritma Fisher Yates Shuffle pada Bagan Undian Peserta Pertandingan Pencak Silat
Authors: Rizky Maulana Muhammad , Asriyanik Asriyanik , Lelah Lelah
Published: July 2022

 

Abstract. The manual lottery system in determining the scheme of contestants in the pencak silat championship causes the process to be ineffective and inefficient, so information technology assistance is needed. This paper presents an application model for determining the scheme of participants in a pencak silat match using a participant lottery chart system assisted by the Fisher Yates Shuffle algorithm. The application is tested using the blackbox testing method. The results of the application test in the process of randomizing the lottery of match participants showed a more effective and efficient process.

Keywords: Fisher Yates Shuffle Algorithm, Randomization, Participant Lottery Chart, Pencak Silat

Abstra. Sistem undi manual dalam menentukan skema peserta pertandingan pada kejuaraan pencak silat, menyebabkan proses menjadi tidak efektif dan tidak efisien, sehingga diperlukan bantuan teknologi informasi. Paper ini menyajikan model aplikasi untuk penentuan skema peserta pertandingan pencak silat menggunakan sistem bagan undian peserta berbantuan algoritma Fisher Yates Shuffle. Aplikasi diuji menggunakan motode pengujian blackbox testing. Hasil uji aplikasi dalam proses pengacakan undian peserta pertandingan menunjukkan proses yang lebih efektif dan efisien.

Kata kunci: Algoritma Fisher Yates Shuffle, Pengacakan, Bagan Undian Peserta, Pencak Silat
  
Model aplikasi desktop multi language menggunakan Netbeans Platform
Authors: Kurniawan Rano , Henderi Henderi
Published: July 2022

Abstract

Many researches on desktop-based applications have been carried out, but no one has developed and discussed specific multi-language desktop applications. This paper aims to develop a multi-language desktop application using the Netbeans Platform. Multi-language desktop applications are developed with an Agile approach that focuses on rapid development. Application development is carried out through the stages of requirements, design, develop, testing, and evaluation. Identification of application requirements is carried out on functional and non-functional requirements. The design stage is carried out using a unified modeling language approach, deploying using the Java programming language and Netbeans platform, testing with a black box approach, and evaluation is carried out through focus group decisions (FGD). FGDs were conducted by involving application owners, application developers, desktop application experts, application industry players, and end users. The evaluation results show that the developed multi-language-based desktop application has an assessment score of 83.7 with a very good predicate. The application of the resulting multi-language-based desktop application has implications for increasing user interest in using the application.

Keywords: desktop application, multi language, Netbeans Platform

 

Abstrak

Penelitian tentang aplikasi berbasis desktop telah banyak dilakukan, namun belum ada yang mengembangan dan membahas tentang aplikasi desktop multi language secara spesifik. Paper ini bertujuan mengembangkan aplikasi desktop multi language menggunakan Netbeans Platform. Aplikasi desktop multi language dikembangkan dengan pendekatan Agile yang fokus pada perkembangan yang cepat. Pengembangan aplikasi dilakukan melalui tahapan requirements, design, develop, testing, dan evaluation. Identifikasi kebutuhan aplikasi dilakukan terhadap fungsional dan non functional requirements. Tahapan desain dilakukan dengan pendekatan unified modeling language, deploy menggunakan bahasa pemrograman java dan Netbeans platform, testing dengan pendekatan black box, dan evaluasi dilakukan melalui focus group decision (FGD). FGD dilakukan dengan melibatkan pemilik aplikasi, pengembang aplikasi, ahli aplikasi desktop, pelaku industri aplikasi, dan end user. Hasil evaluasi menunjukan bahwa aplikasi desktop berbasis multi language yang dikembangkan memiliki skor penilaian sebesar 83,7 dengan predikat sangat baik. Penerapan aplikasi desktop berbasis multi language yang dihasilkan berimplikasi kepada peningkatan minat user dalam menggunakan aplikasi.

Kata kunci: aplikasi desktop, multi language, Netbeans Platform
Analisis Employee Satisfaction Menggunakan Teknik Clustering Dan Classification Machine Learning
Authors: Wirayasa I Ketut Adi , Santoso Handri
Published: July 2022

Abstrak. Kepuasan kerja pekerja sangat berhubungan dengan pekerjaan maupun kondisi dirinya ditempat kerja. Tingkat kepuasan kerja pekerja dapat di analisis dan menjadi bahan evaluasi perusahaan dalam menjalankan bisnis untuk mencapai target yang diinginkan. Kombinasi teknik clustering dan classification merupakan algoritma machine learning yang dapat membantu bagian Sumber Daya Manusia dalam menganalisis dan prediksi tingkat kepuasan kerja pekerja di perusahaan. Teknik clustering yang digunakan dalam penelitian ini adalah KMeans dan teknik classification menggunakan algoritma classificafier dari library Pycaret. Hasil analisis dari penggunaan teknik clustering dan classification dari ke-5 model classifier yang dipilih, 3 model yaitu LightGBM, Catboost dan XGBoost menunjukkan performa yang konsiten dan menghasilkan tingkat accuracy prediksi diatas 98% dengan jumlah cluster ideal 2, ncomponent 27, waktu proses rata-rata setiap model kurang dari 2 menit setiap tahapan proses dan menggunakan K-means clustering.

Kata kunci: Kepuasan pekerja; Klaster; Klasifikasi; Pembelajaran mesin

Abstract. Job satisfaction of workers is closely related to their work and conditions at work. The level of job satisfaction of workers can be analyzed and become an evaluation material for companies in running a business to achieve the desired target. The combination of clustering and classification techniques is a machine learning algorithm that can assist the Human Resources department with analyzing and predicting the level of job satisfaction of workers in the company. The clustering technique used in this research is K-Means in the classification technique using a binary classification algorithm from the Pycaret library. The results analysis of the clustering and classification techniques from the five selected classifier models, three models namely LightGBM, Catboost, and XGBoost shown consistent performance and the prediction accuracy levels above 98% with the ideal number of clusters 2, n-components 27, the average of processing time each model is less than 2 minutes each stage process and using K-means clustering.

Keywords: Employee Satisfaction; Clustering; Classification; Machine Learning
Analisis Sistem Seleksi Penerima Beasiswa Kurang Mampu Menggunakan Metode SAW Dan AHP (Studi Kasus: SD-IT Imam Syafii Sampit)
Authors: Yunus Muhammad , Bachtiar Lukman
Published: July 2022

Abstrak. Penetapan penerima beasiswa yang dilakukan dengan cara analisis langsung oleh manajemen Sekolah Dasar-IT Imam Syafii Sampit tanpa menggunakan teknologi komputasi dikhawatirkan akan menghasilkan keputusan yang tidak konsisten, terutama karena data-data calon penerima beasiswa (khususnya data kualitatif) mempunyai kemiripan antara satu dengan yang lainnya, dengan jumlah parameter yang cukup kompleks. Paper ini menyajikan perbandingan akurasi kinerja model Analitycal Hierarchy Process (AHP) murni dan Model Simple Additive Weighting (SAW) berbasis AHP dalam memprioritaskan calon penerima beasiswa, dengan asumsi patokan akurasi adalah Kebijakan Manajemen Sekolah. Lima sampel data calon penerima beasiswa, dengan empat parameter yang terdiri atas: status keberadaan orang tua, penghasilan penanggung keluarga, jumlah bersaudara, pekerjaan penanggung keluarga, diuji untuk menentukan model mana yang menghasilkan keputusan yang paling mendekati Kebijakan Manajemen Sekolah. Hasil uji menunjukkan model SAW memberikan rekomendasi yang lebih mendekati keputusan Manajemen Sekolah dari pada Model AHP murni.   

Kata kunci: Penerima beasiswa; Prioritas; Simple Additive Weighting (SAW); Analitycal Hierarchy Process (AHP)

 
Abstract. The determination of scholarship recipients carried out using direct analysis techniques by the management of the Imam Syafii Sampit Integrated Islamic Elementary School without using computing technology is feared to result in inconsistent decisions, especially because the data on prospective scholarship recipients (especially qualitative data) have similarities between one and another. others, with a fairly complex number of parameters. This paper presents a comparison of the accuracy of the performance of the pure Analytical Hierarchy Process (AHP) model and the AHP-based Simple Additive Weighting (SAW) model in prioritizing scholarship recipients, assuming the accuracy benchmark is School Management Policy. Five data samples of prospective scholarship recipients, with four parameters consisting of: parental status, income of the family guarantor, number of siblings, occupation of the family guarantor, were tested to determine which model resulted in the closest decision to School Management Policy. The test results show that the SAW model provides recommendations that are closer to school management decisions than the pure AHP model.

Keywords: Scholarship recipients; Priority; Simple Additive Weighting (SAW); Analytical Hierarchy Process (AHP)
Analisis Permodelan Periodic VRP with Driver-Consistency dan Consistency-VRP with Time-Windows
Authors: Riansyah Muhammad Reza , Setyanto Arief , Pramono Eko
Published: July 2022

Abstrak. Sistem distribusi merupakan bagian penting dalam aktivitas pemasaran untuk mempermudah penyampaian barang dan jasa kepada konsumen. Dalam sistem distribusi terdapat komponen-komponen berupa Pelanggan, Kendaraan, Pengemudi, Rute dan Depot yang menjadi tujuan pendistribusian. Dalam menentukan rute terdapat berbagai masalah yang dapat ditemukan yaitu dengan Vehicle Routing Problem (VRP). VRP digunakan untuk menentukan beberapa rute dimana dalam setiap rute dilalui oleh suatu kendaraan yang memulai perjalanan dari depot awal sampai depot akhir dengan permintaan pasti maupun tidak pasti. Penelitian ini di buat untuk membanding model Periodic VRP with Driver-Consistency (PVRP-DC) dan Consistency-VRP with Time-Windows (ConVRP-TW). Hasil penelitian ini menemukan perbedaan yang dihasilkan pada kedua model tersebut yaitu PVRP-DC dan ConVRP-TW dan VRP lainnya memiliki persamaan untuk mencari solusi rute yang optimal dengan batasan-batasan tertentu. Dengan permodelan PVRP-DC dapat menghemat jarak sebesar 25% dan ConVRP-TW dapat menghemat jarak 26%.

Kata kunci: Permodelan; Sistem distribusi; Periodic VRP with Driver-Consistency; Consistency-VRP with Time-Windows

 

Abstract. The distribution system is an important part of marketing activities to facilitate the delivery of goods and services to consumers. In the distribution system there are components in the form of Customers, Vehicles, Drivers, Routes and Depots which are the purpose of distribution. In determining the route, there are various problems that can be found, namely the Vehicle Routing Problem (VRP). VRP is used to determine several routes in which each route is traversed by a vehicle starting from the initial depot to the final depot with definite or uncertain requests. This study was made to compare the Periodic VRP with Driver-Consistency (PVRP-DC) and Consistency-VRP with Time-Windows (ConVRP-TW) models. The results of this study found the differences between the two models, namely PVRP-DC and ConVRP-TW and other VRPs have similarities to find the optimal route solution with certain limitations. By modeling PVRP-DC can save distance by 25% and ConVRP-TW can save distance by 26%.

Keywords: Modeling; Distribution system; Periodic VRP with Driver-Consistency; Consistency-VRP with Time-Windows
Penerapan Algoritma K-Means Clustering Untuk Perencanaan Kebutuhan Obat Di Klinik Citra Medika
Authors: Izzah Lailil ‘ , Jananto Arief
Published: July 2022

Abstrak. Perencanaan persediaan obat-obatan yang hanya dilakukan secara manual tanpa memperhitungkan pola kebiasaan komsumsi dalam periode waktu tertentu menyebabkan ketidakakuratan perencanaan persediaan, sehingga berdampak pada tidak terpenuhinya permintaan atau terjadinya kelebihan persediaan yang berpotensi menyebabkan kadaluarsa.  Artikel ini menguji penggunaan algoritma K-Means Clustering untuk mengelompokkan jenis obat berdasarkan parameter Harga, Kategori, Stok Awal, dan Total Pemakaian. 484 data sampel jenis obat pada Klinik Citra Medika diuji untuk menentukan 5 kelompok pemakaian obat (pemakaian Sangat Rendah, Rendah, Sedang, Tinggi, Sangat Tinggi). Masing-masing kelompok obat akan merepresentasikan prediksi jumlah order persediaan di masa mendatang berdasarkan parameter Total Pemakaian. Hasil uji faktual menunjukkan prediksi persediaan obat menggunakan algoritma K-Means Custering lebih mendekati relitas penggunaan dibandingkan dengan perencanaan yang dilakukan secara manual.

Kata Kunci: Obat-obatan; Perencanaan Persediaan; Pemakaian; Algoritma K-Means Clustering

Abstract. Medicine inventory planning which is only done manually without taking into account the pattern of consumption habits in a certain period of time causes inaccuracies in inventory planning, so that it has an impact on non-fulfillment of demand or the occurrence of excess inventory which has the potential to cause expiration. This article examines the use of the K-Means Clustering algorithm to classify types of medicine based on the parameters of Price, Category, Initial Stock, and Total Usage. 484 sample data on types of medicine at the Citra Medika Clinic were tested to determine 5 groups of medicine use (very low, low, medium, high, very high use). Each medicine group will represent the predicted number of future supply orders based on the Total Usage parameter. The factual test results show that the prediction of drug supply using the K-Means Custering algorithm is closer to the reality of use compared to manual planning.

Keywords: Medicines; Inventory Planning; Usage; K-Means Clustering Algorithm
Pengaruh Motivasi, Kompetensi dan Pengalaman Auditor terhadap Kualitas Audit
Authors: Yuliarti Lusi , Kristianto Giovanny Bangun
Published: July 2022

Penyusunan sebuah laporan keuangan merupakan sebuah kewajiban bagi sebuah industri baik dalam skala kecil, menengah dan besar. Kemudian kewajiban lainnya lagi adalah penilaian atas kewajaran sebuah laporan keuangan tersebut, dimana penilaian tersebut dilakukan oleh pihak eksternal yaitu Kantor Akuntan Publik (KAP). KAP sebagai pihak eksternal atau pihak ketiga dipekerjakan oleh sebuah perusahaan dan menjadi penghubung antara agen dan prinsipal. Oleh karena itu dengan keadaan tersebut memunculkan adanya teori keagenan, yang akan menimbulkan biaya keagenan bagi sebuah perusahaan yang menggunakan jasanya. Dalam memberikan sebuah jasa pemeriksaan dalam laporan keuangan, seorang auditor yang bekerja di KAP perlu memberikan kualitas yang terbaik atas pelaksanaan audit yang dilaksanakan. Pada penelitian ini menyajikan faktor-faktor seperti motivasi, kompetensi dan pengalaman auditor yang akan memberikan pengaruh terhadap kualitas audit. Penelitian ini dilakukan dengan menyebarkan kuesioner kepada auditor pada KAP yang berada di Pulau Jawa. Berdasarkan hasil penelitian yang dilakukan menyatakan bahwa variabel motivasi auditor, kompetensi auditor dan pengalaman auditor memiliki pengaruh positif dan signifikan terhadap kualitas audit, baik secara parsial dan secara simultan.
Perancangan Sistem Autonomous Drone Quadcopter Dengan Menggunakan Metode Waypoint
Authors: Adi Adi
Published: July 2022

In this digital era, technological development is one of the main developments in human life today. And along with the times, there is drone technology which is currently becoming popular among the wider community with its ability to take photos and videos.[1] One of the technological innovations that are developing in the current era of globalization is drone technology which in military terms is also called Unmanned aerial vehicle (UAV) is a type of aircraft that can fly without a crew. The waypoint method works by finding the coordinates of the position to be addressed and then returning to the initial position. Autonomous is an autopilot mode with reference to GPS coordinate data on electronic devices that can move automatically without using a remote control in its movement. In the process of carrying out an autonomous drone mission, it requires several steps in which there are hyperlapses, waypoints, and intervals. From the results of testing autonomous missions on the DJI Mavic 2 Combo drone, a conclusion can be drawn where the drone is able to carry out its mission correctly.

 Di era digital ini perkembangan teknologi merupakan salah satu pokok pembangunan dalam kehidupan manusia saat ini. Dan seiring dengan perkembangan zaman, terdapat teknologi drone yang saat ini menjadi populer di kalangan masyarakat luas dengan kemampuannya yang dapat mengambil foto dan juga video.[1] Salah satu inovasi teknologi yang berkembang pada era globalisasi saat ini adalah teknologi drone yang dalam istilah militer disebut juga dengan Unmanned aerial vehicle (UAV) merupakan jenis pesawat yang dapat terbang tanpa awak. Dengan metode waypoint bekerja dengan cara mencari titik-titik koordinat posisi yang akan dituju kemudian kembali ke posisi awal. Autonomous merupakan suatu mode autopilot dengan acuan dari data koordinat GPS pada perangkat elektronik yang dapat bergerak secara otomatis tanpa menggunakan remote controle dalam pergerakannya. Dalam proses menjalanan misi autonomous drone membutuhkan beberapa langka yang didalamnya terdapat hyperlaps, waypoint, dan interval. Dari hasil pengujian misi autonomous pada drone DJI Mavic 2 Combo dapat ditarik sebuah kesimpulan dimana drone mampu menjalankan misinya dengan tepat.
A Three-Phase Sensitivity-Based Approach for Smooth Line-Switching in Islanded Networks
Authors: Pompodakis Evangelos , Kryonidis Georgios C. , Alexiadis Minas
Published: July 2022

This paper deals with a new smooth line-switching method that facilitates the network reconfiguration of islanded networks. Its distinct features include the ability to handle network asymmetries and to minimize the line current during the switching action. This is attained by developing a three-phase sensitivity-based method to determine the operating set-points of distributed generators (DGs) that minimize the current of the candidate line participating in the switching action. These set-points correspond to the positive-sequence powers as well as the negative- and zero-sequence currents of DGs. Furthermore, the network constraints such as voltage limits and power limits of DGs are always satisfied. Simulations are performed in a balanced 33-bus islanded network as well as in the unbalanced IEEE 8500-node network to evaluate the performance of the proposed method.  
Block Based Enhancement using Deep Learning for Conversion of Low Resolution AVS Video to High Resolution HEVC Video
Authors: Qureshi Rizwan , Nawaz Mehmood
Published: July 2022

Conversion of one video bitstream to another video
bitstream is a challenging task in the heterogeneous transcoder
due to different video formats. In this paper, a region of interest
(ROI) based super resolution technique is used to convert the lowresolution AVS (audio video standard) video to high definition
HEVC (high efficiency video coding) video. Firstly, we classify
a low-resolution video frame into small blocks by using visual
characteristics, transform coefficients, and motion vector (MV)
of a video. These blocks are further classified as blocks of most
interest (BOMI), blocks of less interest (BOLI) and blocks of noninterest (BONI). The BONI blocks are considered as background
blocks due to less interest in video and remains unchanged
during SR process. Secondly, we apply deep learning based
super resolution method on low resolution BOMI, and BOLI
blocks to enhance the visual quality. The BOMI and BOLI blocks
have high attention due to ROI that include some motion and
contrast of the objects. The proposed method saves 20% to 30%
computational time and obtained appreciable results as compared
with full frame based super resolution method. We have tested
our method on different official video sequences with resolution
of 1K, 2K, and 4K. Our proposed method has an efficient visual
performance in contrast to the full frame-based super resolution
method.
Modeling of the Wind Turbine Power system- A numerical Approach
Authors: Alizadehasl Reza , Aghajani Mehran , Mazaherkhani Ali , Chalchougi Behnod
Published: July 2022

The INVELOX wind turbine, which is a ground-breaking innovation in the capture of wind energy, has revitalized the notion of duct wind turbines and aims to break down boundaries in order to provide superior performance at lower costs. This study's objective is to provide a representation of the performance of an INVELOX unit. The requirements for this study were derived from the requirements of the IEC 61400 standard. The results that were achieved in the field are contrasted with the outcomes that were obtained from the theory in this section. The topic of certain ideas for extra work and growth in the future is now being debated in some quarters
Optically-Pumped Coupled Ridge Waveguide Semiconductor Laser
Authors: VOGIRALA NITHIN
Published: July 2022

In this paper, we propose an integrated design of an in-plane optically-pumped edge-emitting ridge-waveguide semiconductor laser, wherein the pump radiation is transferred to the active region of the laser through evanescent wave coupling from an adjacent coupled ridge waveguide. The proposed design of the laser is based on In1-xGaxAsyP1-y/InP heterostructure, with a pump at 1310 nm wavelength and lasing around 1550 nm. In order to simulate the steady-state characteristics of the optically-pumped semiconductor laser, we suitably modify the well-established Connelly’s model for semiconductor optical amplifiers (SOAs). The validity of the model for semiconductor lasers is established by showing that the evolution of simulated longitudinal modes and the output characteristics conform with the laser theory. For the chosen device parameters, under optimum operating conditions, the threshold pump power is found to be ≈ 70 mW with a high pump power conversion efficiency (i.e. output laser power/input pump power) of 61%. The proposed all-optically pumped semiconductor laser could be in the form of a 2-port fiber pig-tailed stand-alone device, without the need for any bias current. 
A Sustainable Power Solution for Cattle Farms: Prototype of Power Generating Treadmill for Large Animate Prime Movers
Authors: Javed Muhammad Sarmad , Umar Hussain Muhammad , Ahmad Nouman , Sameer Mohammad , Dastgeer Faizan , Amin Muhammad Shahid
Published: July 2022

Abstract:

This paper presents a prototype of a power generating treadmill for large animate prime movers i.e., living beings producing power. Instances of of animals which may be used as animate prime movers can be equines in a stable or bovines in a dairy farm or even caprines in a livestock farm etc. Such a machine can be beneficial for large dairy farms, as it might be able to make the farm self-sufficient and sustainable in terms of electricity by producing renewable power. Furthermore, it can also serve as an exercise set-up foe farms animals providing them with health benefits. The current paper discusses the initial phase of this work which began with small sized treadmill – subsequently, the concept was up-scaled and a large treadmill with iron frame and wooden bed was created along with tarpaulin belt and iron side barriers. A DC electric power generator was coupled to the front shaft of the treadmill for converting the muscular power of animals into electrical energy. The paper presents different phases of construction of this treadmill, electric power generation was finally tested via humans moving on the belt - the training phase of animals for the machine is to come subsequently. 
On The Theory Of Two Expert Players Game, Computability And Computational complexity State.
Authors: Samuel Abasianie
Published: July 2022

We study the game of tic tac toe played by two expert players aiming at a profit payoff which is introduced in the research as a new concept. The studied showed that a profit payoff is unattainable by two expert players, leading they generalize game to an infinite loop. Making two expert players game aiming at a profit payoff one example of the halting problem.
Direct Method for Reconstructing the Radiating Part of a Planar Source from its Far-Fields
Authors: Xiao Gaobiao
Published: July 2022

 A planar current is generally divided into a radiating part that generates propagation fields and a non-radiating part that generates evanescent fields. This paper proposes a direct method to reconstruct the radiating part of a planar source from its far fields based on their exact relationship. A standard reconstruction process is provided in which the far-fields are sampled at the peaks of each propagation mode. Analysis shows that the achievable reconstruction resolution of the source distribution is about half a wavelength. The paper also demonstrates that it is possible to reconstruct the source by sampling the far-fields on a plane or along a linear path. The performance of the reconstruction algorithm is illustrated with numerical examples.  
Opportunistic Wiretapping/Jamming: A New Attack Model in Millimeter-Wave Wireless Networks
Authors: Zhang Yuanyu , Zheng, Zhumeng , He Ji , Zhao Shuangrui , Qu Qianyue , Shen Yulong , Jiang Xiaohong
Published: July 2022

While the millimeter-wave (mmWave) communica- tion is robust against the conventional wiretapping attack due to its short transmission range and directivity, this paper proposes a new opportunistic wiretapping and jamming (OWJ) attack model in mmWave wireless networks. With OWJ, an eavesdropper can opportunistically conduct wiretapping or jamming to initiate a more hazardous attack based on the instantaneous costs of wiretapping and jamming. We also provide three realizations of the OWJ attack, which are mainly determined by the cost models relevant to distance, path loss and received power, respectively. To understand the impact of the new attack on mmWave network security, we first develop novel approximation techniques to characterize the irregular distributions of wiretappers, jammers and interferers under three OWJ realizations. With the help of the results of node distributions, we then derive analytical expressions for the secrecy transmission capacity to depict the network security performance under OWJ. Finally, we provide extensive numerical results to illustrate the effect of OWJ and to demonstrate that the new attack can more significantly degrade the network security performance than the pure wiretapping or jamming attack. 
Epstein–Barr virus (Herpesviridae: Gammaherpesvirinae: Lymphocryptovirus: Human gammaherpesvirus 4) in Kalmyks and Slavs living in Russia: virus types, LMP1 oncogene variants, and malignancies
Authors: Gurtsevitch Vladimir E. , Lubenskaya Alexandra K. , Senyuta Natalia B. , Dushenkina Tatiana E. , Smirnova Ksenia V.
Published: July 2022

Introduction. The discovery of the Epstein-Barr virus types (Herpesviridae: Gammaherpesvirinae: Lymphocryptovirus: Human gammaherpesvirus 4) (EBV) EBV-1 and EBV-2, which have different transforming abilities in vitro, stimulated the study of their prevalence in populations in order to elucidate the relationship with malignant neoplasms.
The aims of the work are to study the prevalence of EBV-1 and EBV-2 among representatives of 2 ethnic groups of Russia, Kalmyks and Slavs, sequencing analysis of the LMP1 oncogene in virus isolates, and analysis of the correlation between virus types and the incidence of certain forms of tumors.
Materials and methods. DNA samples were isolated from the biological material of oral swabs obtained from ethnic Kalmyks of the Republic of Kalmykia (RK) (n = 50) and Slavs, residents of the Moscow Region (MR) (n = 40). DNA samples were used to amplify EBV DNA, followed by determination of its concentration per 1 cell of washout, amplification of the LMP1 oncogene in viral samples, their sequencing, and determination of LMP1 protein variants.
Results. It has been established that with the same burden of EBV among representatives of both ethnic groups in the Kalmyk group, the ratio of persons infected with transforming and non-transforming types of the virus was almost the same (EBV-1 51%; and EBV-2 49%). Meanwhile, in the group of Slavs the transforming EBV-1 type virus dominated (80.6%). The predominance of EBV-1 type in representatives of the Slavs correlated with increased incidence of certain forms of tumors in the population of the MR when compared with similar values in the population of the RK, where both types of the virus were prevalent. Differences between the compared rates of cancer incidence were not statistically significant. Analysis of viral isolates showed a similar set of LMP1 variants in both ethnic groups.
Conclusion. In order to establish the influence of EBV types on the incidence of malignant tumors, additional studies involving representatives of various ethnic groups from different geographical regions are needed.
The Role of The Community and The Efforts to Preserve The Potential of Cultural Heritage of The Rawa Bayu Tourism
Authors: Muzaki Alfian Nur , Saputra Iwan Alim , Budianta Aziz
Published: July 2022

Rawa Bayu is a water tourism area and religion can be felt as well as the indigenous people around the tourism area and the immigrants who visit the place who have all the necessities related to the benefit of humans, namely as a support for learning materials at the high school or MA level as well as at the lecture level. The purpose of this study was to determine the collaborative management of the surrounding community with the Banyuwangi Regency Tourism Office and how big the role of the surrounding community in maintaining and preserving several vital objects of cultural heritage in the Rawa Bayu tourism area. The use of the method is to use a qualitative approach by observing directly and documenting activities. Authors use literature studies to support a more definite understanding that comes from valid data. The data analysis technique used componential and descriptive analysis. The results of the study include an overview of the study area, the potential for the existence of ecotourism, and the role of the community in preserving historical objects around the ecotourism area.
Peran Kepala Sekolah dalam Pelaksanaan Peningkatkan Mutu Lulusan
Authors: Fatchurrochman Fatchurrochman , Wuryandini Endang , Abdullah Ghufron
Published: July 2022

Effective schools can be seen from the quality of graduates with supporting components including school principals, teachers, staff, curriculum, implementation of learning, facilities and infrastructure, learning tools and resources, monitoring learning, evaluation of learning and school climate. The quality of graduates is the fulfillment of certain criteria accepted by customers, in this case the world of work and education. Improving the quality of graduates is an effort carried out to improve the quality of graduates through improving the quality of teachers, students, learning systems (curriculum) and facilities and infrastructure. This study aims to describe the role of school principals in improving the quality of graduates. This study uses descriptive qualitative research methods, data collection methods by interview, observation and documentation. The place where this research was conducted was at SMK Negeri 1 Kedungwuni, Pekalongan Regency. Interviews, observations and documentation were used for data collection techniques. The results of the study show that the implementation of improving the quality of graduates is carried out through strategies and policies as well as programs prepared by school principals through improving the quality of teachers, learning, facilities and infrastructure as well as strengthening partnerships with the business world and the industrial world. The conclusions obtained from this study indicate that the implementation of improving the quality of graduates of building modeling and information design skills competency is successful.
Peranan Program Siaran Kentongan Terhadap Mitigasi Bencana Bagi Pendengar Lembaga Penyiaran Publik Radio Republik Indonesia Banda Aceh
Authors: Sisrika Sari Liani , Muzakkir Muzakkir
Published: July 2022

The Kentongan Broadcast Program became a disaster management program, especially in Banda Aceh. The Kentongan Broadcast Program has been running for more than two years. The Kentongan Broadcast Program runs from 2019 to the present. After examining what happened, the purpose of this research is to find out how the role of the LPP-RRI Banda Aceh kentongan broadcast program in disaster management. This study uses a qualitative descriptive analysis technique. This research was obtained through interviews. Interviews were conducted using a question and answer process directly with parties who were considered to understand and understand the problem that the researcher was doing. From the results of the research conducted, it shows that the Kentongan Broadcast Program is a disaster response program presented by RRI Pro-1 Banda Aceh at a frequency of 97.7MHz. The Kentongan Broadcast Program contains information on disaster mitigation. The Kentongan Broadcast Program with a duration of 60 minutes is an excellent disaster program at Pro-1 RRI Banda Aceh. The Kentongan Broadcast Program has 2 series of events, namely dialogue inside and outside the studio and interviews of course. and response to disasters. Based on the research results, Radio RRI Banda Aceh plays a very important role in increasing knowledge related to disaster for the community. The role of RRI Banda Aceh can increase public knowledge about disasters.
Agenda e Normas
Authors: Revista NURSING
Published: July 2022

A Revista Nursing, edição brasileira, tem por objetivo a divulgação de assuntos de Enfermagem, colaborando, assim, com o desenvolvimento técnico-cientí­fico dos profissionais. Para a publicação na Nursing, o trabalho deverá atender í s seguintes normas
Editorial
Authors: Camila Takáo Lopes
Published: July 2022

A Enfermagem, enquanto disciplina cientí­fica, tem estruturado seu corpo de conhecimento em torno do cuidado, historicamente qualificado como objeto de estudo apenas no século XIX, por Florence Nightingale (1820-1910). Em um perí­odo em que cuidados corporais ao paciente eram considerados inadequados ou indecentes, a alimentação e higienização de outrem eram classificadas como tarefas domésticas que não demandavam habilidades/treinamento, uma jovem mulher de alta classe econômica, com conhecimento aprofundado de idiomas, literatura e matemática, abraçou seu desejo de ser enfermeira, promovendo uma revolução: a transição da era vocacional para a era profissional - fundação da Enfermagem moderna.
Entrevista
Authors: Daiane Brito
Published: July 2022

Esse ano os holofotes estão voltados para os profissionais de Enfermagem e Obstetrí­cia
ARTIGO DE OPINIíO
Authors: Neri Manoel
Published: July 2022

Aposição do Ministério da Saúde em suspender a inserção do Dispositivo Intrauterino por enfermeiros e obstetrizes, determinada na nota técnica 38, de dezembro de 2019, representa um cerceamento í  autonomia profissional da Enfermagem brasileira e um duro golpe aos direitos reprodutivos das mulheres, especialmente da população que depende exclusivamente do Sistema Único de Saúde (SUS). Mal fundamentada, a nota não apresenta fundamentação cientí­fica – porque não há. Há mais de 40 anos, enfermeiras vêm realizando a colocação do DIU, no Brasil e em diversos paí­ses, sem que existam relatos de aumento das complicações. Com taxa de insucesso abaixo de 1%
Animal Movement Detection along with Differentiation and Alert Processing in Farm Lands
Authors: Agnes A. , Anto Theepak T.
Published: July 2022

Every life on land depends on food for living. The source of major availability of food is agriculture. Farmers and agricultural lands are exposed to lot more difficulties currently. One among them is intruders in farm fields. Animal intruders cause a tremendous amount of destruction to crops on field. The proposed system helps in detecting large animal movements using frame differentiation in OpenCV. Motion detection algorithm helps in detecting the movements of animals. OpenCV deals with computer vision operations. Frame differentiation is used to fetch differences between still and movable frames. Working on with Movidius Neural compute stick connected to raspberry Pi which used to fetch the category of animal approaching using image classifier and corresponding actions could be taken on time. Once motion is detected and alert sound is generated and hence the owners could be made aware of happenings. Movidius stick is used to learn artificial intelligence at the edge. Other applications involve, motion detection in military boundaries.
Review on Human Computer Interaction Intelligent Learning for Improved Identification Procedure
Authors: Jeena Jacob I.
Published: July 2022

Every day, new systems and devices are being developed, and research in this human and computer interaction field has increased dramatically over the previous several decades. Research into how computers impact people's lives, organizations, and society as a whole is done via the field of Human-Computer Interaction (HCI). This involves not just the simplicity of use but also innovative interaction approaches for supporting user activities, offering better access to information through new HCI principle, and establishing more powerful forms of communication for the user. After contemplating its potential, HCI is currently a popular new study topic among academics with feedback and recommendation by yes or no. To make HCI an effective tool, it must learn from the new principles of HCI that is planned here for future and reconsider some of its fundamental concepts.
ФОРМИРОВАНИЕ КРИТИЧЕСКОГО МЫШЛЕНИЯ У МЛАДШИХ ШКОЛЬНИКОВ В ПРОЦЕССЕ ОБУЧЕНИЯ
Authors: Абдулазимова Т.Х. , Гелаева А.А.
Published: July 2022

Изучен процесс формирования критического мышления у младших школьников в процессе обучения. Проанализировав психолого-педагогические источники и различные подходы к способам развития критического мышления, мы сделали следующие выводы: в настоящее время используются разнообразные методы и широко распространена технология формирования критического мышления школьников, которая позволяет воедино развивать когнитивный и поведенческий, практико-содержательный аспект личности в учебной деятельности, а также при выполнении самостоятельных решений и осуществлении разного рода творческих и проблемных заданий. Степень их слаженности во многом определяет целостные характеристики функционирования мышления вообще и критического мышления обучающихся в частности.
ОБУЧЕНИЕ ВОСПРИЯТИЮ ТЕКСТА ОБУЧАЮЩИХСЯ НАЧАЛЬНОЙ ШКОЛЫ ПРИ ВЫПОЛНЕНИИ ИЗЛОЖЕНИЯ И ДИКТАНТА
Authors: Ахмадова З.М. , Инаркаева А.Д.
Published: July 2022

В статье выявлены методические подходы к обучению восприятию текста обучающихся в начальной школе при выполнении изложения и диктанта. Сделан вывод о том, что изложение и диктант – формы практической работы на уроке русского языка, которые ставят целью комплексную отработку умения работы с текстом, а также с отдельными словами. Под изложением следует понимать такой письменный, либо устный, вид речевой деятельности, в соответствии с которым происходит получение образца текста и выстраивание собственного по аналогии с представленным. При выполнении изложения оценивается способность осмыслить текст, выделить логику следования действий, а также выполнить письменный пересказ текста. Диктант служит средством для обеспечения высокого уровня орфографической и пунктуационной правильности при выполнении письменных текстов.
The Political Dynamics of Islamophobia in Jokowi’s Era: A Discourse Analysis of Online Media Reporting
Authors: Irawan Bambang , Nasution Ismail Fahmi Arrauf
Published: July 2022

This article investigates the online media reporting of Islamophobic policies during the presidency of Joko Widodo, Indonesia’s current president. The study comprises a critical discourse analysis, which identifies three reporting dimensions, namely micro, mezzo, and macro. The article finds that discriminatory policies against Indonesian Muslims have triggered the emergence of news of Islamophobia in government policies. Politically, this causes Islamophobic propaganda, which, for the government, is a form of discourse struggle, the aim of which is to secure public support. Reports of government-backed Islamophobic propaganda moved the government to amend some of its policies, and facilitated the emergence of counter-narrative news, which refuted these accusations of Islamophobia. This study also shows that accusations of Islamophobia against the government are a result of the trauma many Muslims experienced, historically, long before the Jokowi presidency.
The Roots of Indonesia's Resilience Against Violent Extremism
Authors: Jamhari Jamhari , Testriono Testriono
Published: July 2022

This article explores Indonesia’s institutional foundations to understand the country’s resilience against violent extremism. First, Pancasila has been the foundation of an inclusive state that can bind Indonesian diversity. Second, multiparty elections allow Islamist groups to participate in politics and express their aspirations constitutionally, thus moderating their violent strategies. Third, the support of the largest Islamic organizations, especially NU and Muhammadiyah, for counterterrorism and law enforcement against extremist orchestrated by the government. Both organizations exhibit a stronghold essential to countering the Salafi jihadist ideology. However, although infrequent and small in scale, the continued acts of violent extremism in Indonesia have shown that there is still room for the terrorist ideology to grow. Some Islamic educational institutions deliberately educate students to support Islamism, and some students are introduced to Salafi jihadist ideology. Such a development should serve as a warning for the government to pay more attention to the curriculum and teachers, especially in Islamic educational institutions.
Contesting Ethnic and Religious Identities in the 2019 Indonesian Elections: Political Polarization in West Kalimantan
Authors: Qodir Zuly , Jubba Hasse , Hidayati Mega
Published: July 2022

During Indonesia’s 2019 presidential election, significant religious and ethnic contestations occurred using hatred and stigma in expressing support for favored candidates. This article focuses on the case of West Kalimantan Province which has a divided society and memories of ethnic-based bloody communal violence in the early 2000s.  This article notifies that wherein ethnic Dayak, Javanese, and Chinese voters tended to support Joko Widodo (Jokowi)-Ma’ruf Amin, while ethnic Malay, Madurese, and Buginese voters tended to back Prabowo Subianto-Sandiaga Uno up in the election. However, such ethnic and religious contestations in West Kalimantan did not generate violent conflicts during the election. Instead, voters continued to interact peacefully and harmoniously among different ethnic and religious groups. This contestation coincided with the emergence of political awareness among the Dayaks, Chinese, and Malays of West Kalimantan, which further contributed to Jokowi’s electoral victory.  Nevertheless, this political contestation produced the political identity.
Gus Yahya and the NU’s New Path: Note on the 34th Congress
Authors: Mutaqin Zezen Zaenal
Published: July 2022

The 34th Nahdlatul Ulama (NU) Congress in Lampung was organized in an unusual situation. It was the first kind of NU congress organized in the era of a global pandemic. The date of congress itself was a subject of controversy and debated by competing candidates due to the lockdown, a standard measure taken by the government to control the spread of the Covid-19 virus. There was even an idea to postpone the congress altogether and asked K.H. Said Aqil Siradj, the incumbent leader, to stay indefinitely until the situation is back to normal. However, after a tussle and negotiation, finally, all factions agreed that the congress would be organized at the initial date planned by the Central Board of NU (Pengurus Besar Nahdlatul Ulama, PBNU), which was at the end of December (22-23 December 2021). At that time, the case of Covid-19 was relatively low, and the gap was perfect for a congress.