bluuebunny/crossref_metadata_2025 huggingface dataset:
Calculation of eutectics temperatures and compositions of multicomponent sections of the system (Mg, Ca, Sr, Ba)O—Al2O3—Cr2O3
Authors: Korohodska A. N. , Shabanova G. N. , Logvinkov S. M. , Khrystych O. V. , Volobuev M. M.
Published: February 2022

With change in the structure of metallurgical production in Ukraine, the range of used refractory materials is expanding: the share of unshaped highquality refractories is growing, since this eliminates the time-consuming and energy-consuming operation of firing piece products, and also simplifies the operation of creating a lining layer. To establish the maximum possible operating temperature of materials developed on the basis of compositions of the optimal regions of multicomponent oxide system (Mg, Ca, Sr, Ba)O— Al2O3—Cr2O3, it was necessary to calculate the temperatures and compositions of the eutectics of binary, ternary and four-component sections, which was the purpose of this study.

For calculations in binary sections, the Epstein — Howland method is most acceptable, and in three- and four-component sections — the solution of nonlinear equations system. It was found that to obtain a refractory unshaped material based on calcium aluminium chromite cement with periclase as a filler, it is necessary to adjust the phase composition of the cement towards an increased CaCr2O4 content, and the total composition must contains at least 75 wt. % periclase or magnesium spinel. In addition, in the case of alumina hydrates formation as a result of cement hydration processes, magnesium spinel will be synthesized as part of a refractory unshaped material during service. To obtain refractory unshaped materials based on strontium aluminium chromite cement and periclase as filler, it is necessary to increase the SrAl2O4 content and minimize the Sr3Al2O6 content in the cement composition, while the filler content in the composition can vary within wide limits, since the melting temperature of such compositions will be more than 1700 °C. To create refractory unshaped materials based on barium aluminium chromite cements, it is necessary to increase the content of BaAl2O4 in the cement composition as the most hydraulically active and refractory component and the composition of the composite material should be low- or ultra-low-cement in order to increase the operating temperature. In addition, in the case of chromium hydroxides formation during the hydration of aluminium chromite cement, chromium spinel will be synthesized in the composition during service, increasing the refractoriness of resulting composition. Thus, by varying the type and phase composition of cement and the ratio of cement and aggregates in the concrete composition, it is possible to obtain unshaped materials with a wide operating temperature range for use in heat-stressed areas of high-temperature aggregates.
Influence of reactive alumina type on the properties of corundumspinel castables (review)
Authors: Chaplianko S. V. , Nikichanov V. V.
Published: February 2022

In order to improve technology manufacture of high-quality refractory castables, have been executed review and analysis of some individual results on foreign studies aimed at researching the influence of reactive alumina’s type (in terms of specific surface area, particle size distribution, chemical purity) on properties of corundum-spinel castables of various compositions.

It had been shown technological efficiency of corundum-spinel castables application:

— composite material of E-SY288 brand in comparison with alumina of СL370 brand in terms of samples’s apparent porosity and cold modulus of rupture improving, regardless of the firing temperature;

— alumina with the lower Na2O content (0.32 %) and particle size (d50 = 2.51 microns) in terms of samples’s permanent linear changes and cold modulus of rupture improving, fired at 1450 °C samples;

— alumina with the minimum Na2O content (0.034 %) and the larger specific surface area (4.32 m2/g) in terms of mass’s flowability and samples’s apparent porosity, cold and hot modulus of rupture improving, regardless of the firing temperature;

— alumina with the high Na2O content (0.11 %) and the smallest specific surface area (3.01 m2/g), but with a specific particle size distribution, in terms of samples’s cold crushing strength and cold modulus of rupture improving, regardless of the firing temperature, as well as alumina with the highest specific surface area (7.40 m2/g) in terms of samples’s abrasion resistance improving, alumina with an average specific surface area (4.68 m2/g) in terms of samples’s hot modulus of rupture (at temperatures of 1400 and 1500 °C) and thermal spalling resistance improving.
Procedure of determination of the cold compressive strength of samples of refractory inserts for composite plates of shuttles
Authors: Kushchenko P. O. , Dunikov O. V. , Rebrova O. M. , Grytsyuk L. V. , Synyukova O. I.
Published: February 2022

The slide gate is the most advanced type of casting device. The design of this gate is based on the action of two refractory plates, which are in close contact with each other, one of which slides on the other, fixed motionlessly. Sliding gates can be of two types: with a lower movable plate, which carries out a back-and-forth movement in the horizontal direction using a hydraulic cylinder, and with a lower movable plate, which rotates around an axis. The shutter of first type is called a slide gate; the second is a rotary shutter.

Monitoring of properties in particular strength of refractory inserts facilitates increase in operation reliability of constituent plates of sliding shutters in steel casting ladles. However, it is not possible to apply the existing standards for the compressive strength determination of these refractory products, because these standards do not provide for test samples with dimensions less than 20 mm. That's why the procedure MB 322-39-2021 was developed and implemented by JSC “URIR named after A. S. Berezhnoy” with the purpose of monitoring of cold compressive strength of refractory inserts for constituent plates of sliding shutters. According to this procedure, a method for measuring the compressive strength is used: the cross-sectional area of the test sample is determined, the maximum compressive load that leads to the test sample failure is measured, and the compressive strength is calculated.
Interlaboratory comparison of the work quality of chemical-analytical units of a number of refractory industry enterprises in Ukraine in 2020
Authors: Birukova O. V. , Varganov V. V. , Konchynko N. M.
Published: February 2022

One of the ways to check the correctness of international standards use is interlaboratory comparison of the work results of testing laboratories. Such work has been carried out by JSC “The URIR named after A. S. Berezhnoy” for more than 20 years and allows one to assess the reproducibility and repeatability of chemical analyzes results of refractories and refractory raw materials at the manufacture of refractories and their certification in the both the chemical-analytical unit of the institute and laboratories of partner enterprises.

The interlaboratory comparison of work quality of chemical-analytical units of a number of refractory industry enterprises in Ukraine (JSC “KDZ”, JSC “CRP”, JSC “VRP”) and JSC “The URIR named after A. S. Berezhnoy” was carried out. The discrepancy between the average results of chemical analysis in the chemical-analytical unit of refractory enterprises and in the laboratory of institute did not exceed the permissible value of γ in terms of ND. The work quality of chemical-analytical units of central refractory laboratories of all the above mentioned refractory enterprises was satisfactory. Recommendations for improving the accuracy of the chemical analysis results in the refractory enterprises laboratories that participated in the tests were not required.
Peningkatan Pemahaman Citra Tubuh Melalui Edukasi Online pada Wanita Usia Subur
Authors: Sitoayu Laras , Dewi Yolanda Krisna , Juliana  , Febriana Renita , Windhiyaningrum Rizkita , Dewanti Lintang Purwara , Rumana Nanda Aula
Published: February 2022

Remaja putri sebagai WUS menentukan masa depan anak dan keluarganya, membutuhkan perhatian khusus daripada mengalami masalah gizi. Masalah gizi yang sering dialami oleh remaja putri adalah persepsi tubuh yang negatif, yang pada akhirnya berujung pada gangguan makan dan masalah status gizi. Melalui program pengabdian masyarakat ini bertujuan untuk meningkatkan kesadaran dan pengetahuan remaja putri tentang body image agar tidak mengalami masalah gizi. Edukasi dilakukan secara online, dan dapat dijadikan sebagai metode alternatif pendidikan gizi bagi remaja putri. Kegiatan ini dilaksanakan pada siswa SMK Mutiara 17 Agustus Bekasi dengan melibatkan siswa kelas X dan XI Farmasi. Hasil pendidikan menunjukkan bahwa ada peningkatan pengetahuan tentang persepsi tubuh pada remaja putri.
School-Related Variables as Correlates of Quality Leaning Outcome of Senior Secondary School Students
Authors: Etan Michael O. , Kenneth Beauty U. , Angioha Pius U. , Abang Thelma A. , Akande Depo
Published: February 2022

This study attempts to examine the extent to which school-related variables such as teacher's quality, classroom ergonometric affects the Quality Leaning Outcome of senior secondary school students. The study was a survey research design. Data was collected from 385 senior secondary school students of government-operated secondary schools in Calabar, Cross River state, using a structured questionnaire. The purposive sampling technique was used in selecting the samples from the study area. Collected data were screened and checked for errors. The data was then analysed using descriptive and parametric statistics at 0.05 significant level. Out of the 385-instrument distributed, 376 was returned and used for analysis. From the interpreted data, the result revealed that high teacher quality statistically significantly differs from low teachers' quality in terms of Quality Leaning Outcome of secondary school students. This result is because the calculated t-value of t (374) = 3.57 was higher than the critical t-value of 1.96 at p < .05. This result means that the high quality of teachers affects student academic outcome. Also, the result revealed that classroom ergonometric significantly relates to quality of academic outcome. Because the calculated r-value of 0.170* is greater than the critical r-value of 0.098 at 0.05 level of significance with 374 degrees of freedom. With these results, we can conclude that school-related variables significantly relate to quality academic outcome. Hence, there is a need for improvement in school variables in schools in the study area.
Variations of Learning Methods as Implementation of Teacher’s Pedagogical Knowledge
Authors: Shinvani Rosa Diah , Amalia Dwita Kurnia , Evitaloka Rindiana , Putra Fery Anggara , Sari Ifit Novita
Published: February 2022

The development of student potential can be realized through the role of teachers in the use of learning methods during the teaching and learning process. Learning methods are expected to run well during the teaching and learning process. Therefore, the teacher must be able to determine the right method of learning. Teachers must have the ability to manage learning. This ability is one part of a teacher's pedagogical competence. If a teacher has qualified pedagogical competencies, then the use of learning methods selected during the teaching and learning process certainly provides positive results for students in learning. This research aims to find out the learning methods that are often applied by teachers based on pedagogical competencies owned and subjects that are mastered. The research method used is a descriptive qualitative method, with data collection techniques using google form spread surveys. From the results of data processing, it can be known that the most dominant learning method used by teachers is the discussion method. The reason teachers choose the discussion method is to prioritize interaction between students. So that from the method of discussion learning, it is expected to stimulate the thinking power of students to dare to express their opinions.
Students' Errors Analysis in Solving Problems in the Material of Sequences and Series based on Hadar's Criteria in terms of Students' Mathematical Understanding
Authors: Minggi Ilham , Bernard  , Fauzan Aco
Published: February 2022

This study aims to describe students' errors in solving problems in the material of Sequences and Series based on Hadar's criteria in terms of students' mathematical understanding. The type of research used is qualitative research with a descriptive approach. There are 6 research subjects, namely 2 students with high mathematical understanding, 2 students with moderate mathematical understanding, and 2 students with low mathematical understanding. The instrument used in data collection was an understanding test containing 7 questions, a series and series problem test containing 3 questions, as well as interview guidelines. The results showed that all subjects who worked on questions related to determining the P-th term in the series geometry and in working on problems related to determining the cattle population tend to make technical errors. Meanwhile, in working on problems related to determining the number of terms in an arithmetic sequence, the subject did not experience any errors in completing the answer except for the fifth subject and the sixth subject who did not answer at all.
Associate Issues in Delayed Care Seeking Behavior in Households Suffering from Malaria
Authors: Ogali Ugo , Otu Judith E. , Enang Ebingha E. , Angioha Pius U. , Akande Depoe
Published: February 2022

this study examines the associated issues in delayed care-seeking behaviour from malaria in households in rural Central Cross River states. Specifically, this study examines the extent to which belief in traditional medicine and household income relates to delayed care-seeking behaviour in household members suffering from malaria. The descriptive survey method was utilized to collect data from 1,229 participants from Central Cross River State, Nigeria. 1,224 The participants were selected using the multistage sampling technique. Data was collected using a self-developed structured questionnaire and in-depth interview guide. Elicited data was analyzed using descriptor and parametric statistics. Data collected from the in-depth interview conducted on five participants in the study area were thematically analyzed. Out of the 1224 quantitative instrument distributed, 1065 was judged to valid to the researchers. The analysis revealed that belief in traditional medicine and household income were significant determinants of delay in care-seeking behaviour among grow household members suffering from malaria. The study calls for policy change towards malaria care for rural households in Central Cross River states.
Empirical Evaluation for Intelligent Predictive Models in Prediction of Potential Cancer Problematic Cases In Nigeria
Authors: Ojugo Arnold Adimabua , Obruche Chris Obaro
Published: February 2022

The rapid rate as well as the volume in amount of data churned out on daily basis has necessitated the need for data mining process. Advanced by the field of data science with machine learning approaches as new paradigm and platform, it has become imperative to provide beneficial support in constructing models that can effectively assist domain experts/practitioners – to make comprehensive decisions regarding potential cases. The study uses deep learning prognosis to effectively respond to problematic cases of cancer in Nigeria. We use the fuzzy rule-based memetic model to predict potential problematic cases of cancer – predicting results from data samples collected from the Epidemiology laboratory at Federal Medical Center Asaba, Nigeria. Dataset is split into training (85%) and testing (15%) to aid model validation. Results indicate that age, obesity, environmental conditions and family relations (to the first and second degree) are critical factors to be watched for benign and malignant cancer types. Constructed model result shows high predictive capability strength compared to other models presented on similar studies.
Effectiveness of Jigsaw Type II Cooperative Learning Model in Improving Self-Efficacy, Activities, and Learning Outcomes of STKIP Pembangunan Indonesia Makassar Students
Authors: Sari Nur Indah , Ahmad Fandi
Published: February 2022

The main purpose of this study was to determine whether the Jigsaw II Cooperative learning model was effective in increasing the self-efficacy of Indonesian Development STKIP students, in the Learning Assessment course. This research is a quasi-experimental research. The population in this study were all students of Biology Education Study Program Semester IV (four) academic year 2020/2021 Even Semester STKIP Indonesian Development Makassar. The samples used are two classes that have the same initial ability, namely classes IVA and IVC. The reason for choosing the IVA class as the control class and the IVC class as the experiment. The data collection technique in this study used a pretest-posttest control group design model. Data analysis was carried out using description analysis, N-Gain test, prerequisite test and hypothesis testing with the help of SPSS 17. Based on the test results, it was found that the application of the Jigsaw Cooperative Learning Model Type II was quite effective in increasing self-efficacy with the percentage of Ngain 61%, student learning activities of 90% which means very effective and learning outcomes obtained by the percentage of Ngain 56% which means quite effective.
Analysis of Rice Production Forecast in Maros District Using the Box-Jenkins Method with the ARIMA Model
Authors: Nurman Sulaeman , Nusrang Muhammad , Sudarmin
Published: February 2022

The Box-Jenkins method is a statistical method used for forecasting time series data. This method uses data in the past as the dependent variable. The data used in this study is data on the amount of rice production in Maros Regency which was taken from 2001 to 2018 which was taken from the Central Statistics Agency of Maros Regency and the Department of Food Security, Food Crops, and Horticulture of South Sulawesi Province. The results obtained show that the ARIMA(0,2,1) model is a suitable model to predict the amount of rice production in Maros Regency. Forecasting results show that the amount of rice production in Maros Regency has increased every year with an average increase of 3807.1 tons.
Improved Exponential Approach Method in Determining Optimum Solutions for Transportation Problems
Authors: Rusli  , Sukarna  , Wahyudin
Published: February 2022

This study describes the transportation methods that regulate and distribute resources that provide products where they are needed to achieve efficient transportation costs. Solve a transportation problem in this thesis using the Improved Exponential Approach method, then using the NWC (Northwest) method to test its optimization. The purpose of this research is to get more optimal results as initial consideration to increase the distribution cost savings in the Bread Company. Costs incurred by the company before the study amounted to Rp.3,218,000. The results of this study found that the application of the transportation method using the Improved Exponential Approach method is effectively used compared to the NWC method which has a comparison of transportation costs of Rp. 2,612,500 and Rp. 2,785,000, Optimization test results obtained from the Improved Exponential Approach method amounted to Rp2,612,500. And the Improved Exponential Approach method used by researchers can be applied to the Gardenia company.
The Effect of Functional Value and Epistemic Value on Tourist Satisfaction of Lake Toba
Authors: Saragih Megasari Gusandra , Surya Elfitra Desy , B. Mesra
Published: February 2022

The study was studied to determine the effect of functional value and epistemic value on tourist satisfaction of the super priority tourist attraction of Lake Toba. The problem is finding a decrease in the number of tourist visits to the super priority tourist attraction of Lake Toba during the covid-19 pandemic. Where the amount of samples is 100 tourists who have visited Lake Toba, with a nonprobability sampling technique with a purposive sampling approach. Multiple linear regression became the model of this research using SPSS 24.0 analysis tool. The results of the study found that functional value and epistemic value had a major effect on tourist satisfaction within the super priority tourism of Lake Toba.
Impact of Selected Corporate Governance Variables on the Financial Performance of Selected Quoted Deposit Money Banks in Nigeria
Authors: Eni-Egwu Catherine Odima , Chimezie James Madukwe , Beatrice Ezeilo Chinonye
Published: February 2022

This study examined the impact of selected corporate governance variables on the financial performance of selected quoted deposit money bank in Nigeria. More specifically, the study explores the relationship between board size, board composition, audit committee independence, gender diversity, and financial performance - return on equity (ROE) and return on assets (ROA). Arguing from the agency and resource dependency theories, data covering the period 2010-2019 were collected from the audited annual accounts of ten purposively-chosen deposit money banks. To provide robust analysis of data and ensure triangulation of methods, the multiple regression analysis in SPSS version 21 and the Smart PLS structural equation modeling (SEM) were applied. Findings indicate that while board size and audit committee independence are negatively related with corporate financial performance, gender diversity showed positive relationship, and board composition demonstrated mixed relationship. The study recommends among others that firms should try to reduce their board size to plus or minus ten, and also reduce the number of outside (external or non-executive) board members, but with strict adherence to the regulatory guideline. The study proposes a SEM-based model to guide financial institutions post-Covid-19.
Drivers of Customer Loyalty in the Downstream Petroleum Sub-Sector in Nigeria
Authors: Ogbunamiri Chinanu , Agu Agu Godswill
Published: February 2022

The downstream petroleum sub-sector in Nigeria has remained highly competitive since the partial subsidy removal era. Operators now adopt various marketing efforts to attract and retain customers. While several models have been used to examine the drivers of customer loyalty in the petroleum industry, no study is known that applies the 7Ps model. This study, attempts to close this gap. Data was generated from petroleum products customers in the Southeast region of Nigeria, and analyzed with the SPSS 23.0 multiple regression analysis. Findings reveal that all the 7Ps variables – product, price, place, promotion, people, process and physical evidence are significant drivers of customer loyalty. The study recommends appropriate blending of the mix elements for more positive outcomes.
UPAYA MEMINIMASI WASTE (PEMBOROSAN) DENGAN MENGGUNAKAN VALUE STREAM ANALISIS TOOLSS (VALSAT) DI PT. XXX
Authors: Misbah Achmad
Published: February 2022

Kualitas suatu perusahaan tidak hanya dilihat dari kualitas produk yang dihasilkannya, tetapi juga kualitas lain yang mendukung diantaranya adanya permintaan produk, perencanaan produksi, proses produksi, pengiriman produk. Selain itu perusahaan perlu mengadakan evaluasi proses produksi yang terjadi didalam perusahaan secara berkesinambungan agar senantiasa memperbaiki dan meningkatkan kualitas kinerja perusahaan. PT. XXX adalah perusahaan manufaktur dibidang air minum dalam kemasan (AMDK) dan berdiri sejak tahun 1987 di Pandaan.saat ini PT. XXX memproduksi sekitar 68% - 80% dari target produksi yang diinginkan, sedangkan target produksi yang harus dicapai yaitu 95% perbulan. Untuk mengevaluasi masalah ini, perlu dilakukan penelitian tentang upaya pencegahan masalah tersebut. Tujuan peneitian ini adalah untuk Mengetahui Aktifitas-aktifitas apa saja yang terjadi pada proses produksi Air minum Gallon dan bagaimana upaya yang dilakukan untuk meminimalkan Limbah (Waste) dengan menggunakan value stream analysis tools (VALSAT). berdasarkan identifikasi dan analisis dengan menggunakan menggunakan value stream analysis tools (VALSAT) diperoleh value adding actifity (VA) yaitu aktifitas operasi sebesar 2.425 detik atau sebanyak 12 akitfitas atau sebesar 57.35%, necessary but not value added actifity (NNVA) yaitu aktifitas transportasi dan inspeksi sebesar 1.020 detik atau sebanyak 7 aktifitas atau sebesar 2.41% dan non value adding actifity (NVA) yaitu aktifitas storage dan delay sebanyak 783 detik atau sebanyak 2 aktifitas atau sebesar 1.85% dari keseluruhan waktu. Berdasarkan supply chain respon matrix didapat lead time yang digunakan untuk memenuhi permintaan custonmer adalah selama 84,22 hari. Setelah dilakukan perbaikan dengan menggunakan value stream mapping (VALSAT) berdasarkan hasil rekomendasi yang telah dilakukan diperoleh waktu untuk operation selama 2.242 detik, transportation selama 200 detik, inspection selama 210 detik, storage selama 120 detik, serta delay 342 detik. Berdasarkan data tersebut dapat diketahui bahwa terjadi penurunan waktu produksi dari 4.228 detik menjadi 3.114 detik. Terjadi penurunan
PENGUKURAN EFETIFITAS PENJADWALAN PRODUKSI PADA PERUSAHAAN JOB ORDER
Authors: Rosyidi Khafizh
Published: February 2022

Production Planing and Control (PPC) merupakan faktor utama dalam setiap perusahaan untuk menunjang kelancaran proses produksi, baik perusahaan mass production maupun perusahaan job order. Perencanaan produksi memiliki peranan yang sangat penting dalam mengantisipasi supaya tidak terjadi keterlambatan dalam pemenuhan target produksi. Oleha karena itu harus dibuat perencanaan produksi (production planning) secara baik. Di lingkungan CV. YAD tingkat produksi harian didasarkan pada permintaan total harian untuk setiap model produk yang akan diproduksi selama satu minggu dibagi dengan banyaknya hari kerja dalam minggu tersebut. Rasio untuk setiap produk menentukan banyaknya unit yang harus diproduksi setiap hari dalam satu minggu agar dapat memenuhi sasaran dalam master schedule planning (MPS). Sebagaimana hasil penelitian bahwa permintaan total mingguan untuk produk A, B dan C di CV. YAD berturut-turut adalah: 500 unit, 2000 unit, dan 5000 unit. Dalam satu minggu diasumsikan terdapat 6 hari kerja, sehingga tingkat produksi harian untuk produk A = 500/6 = 83,33 unit (dibulatkan menjadi 84 unit), B = 2000/6 = 333,33 unit (dibulatkan menjadi 334 unit), dan C = 5000/6 = 833,33 unit (dibulatkan menjadi 834 unit). Berdasarkan pengukuran efektifitas dari metode sequencing, dapat diambil keputusan berkaitan dengan sekuens operasi mana yang terbaik untuk dipilih. Apabila perusahaan lebih memprioritaskan untuk meminimumkan keterlambatan penyerahan produk ke pelanggan, sebaiknya memilih pendekatan FCFS dengan sekuens operasi atau tugas: B-A-C-D, karena memiliki nilai rata-rata keterlambatan terkecil yaitu: 1,75 hari. Tetapi apabila perusahaan ingin memaksimumkan utilisasi sumber daya, disarankan untuk memilih dengan sekuens operasi atau tugas: A-B-C-D, karena memiliki nilai utilisasi tertinggi yaitu 46,3 %. Bagaimanapun juga aturan-aturan yang berkaitan dengan penetapan prioritas kerja dalam operasi manufacturing harus ditetapkan secara rasional, jelas dan konsisten dengan tujuan strategik dari pengambil keputusan perusahaan itu sendiri.
PENGARUH EMOTIONAL BRANDING DAN CUSTOMER SATISFACTION TERHADAP BRAND LOYALTY Survei pada pembeli Sophie Paris di Outlet Pandaan Pasuruan
Authors: Afida Siti Nur , Wusko Any Urwatul
Published: February 2022

Tujuan Penelitian ini ada 3 yaitu: 1) menganalisis dan menjelaskan pengaruh variabel  emotional branding terhadap brand loyalty 2) menganalisis dan menjelaskan pengaruh variabel  customer satisfaction terhadap brand loyalty 3) menganalisis dan menjelaskan pengaruh variabel emotional branding dan customer satisfaction  secara simultan terhadap brand loyalty. Jenis penelitian yang digunakan adalah jenis penelitian kausal. Metode pengambilan  sampel  dengan  teknik  survai.  Populasi  dan  sampel  dalam  penelitian  ini  adalah  pembeli  di Outlet Sophie Paris di Pandaan dengan  jumlah  sampel  100  dan  teknik  pengambilan  sampelnya  adalah purposive sampling. Metode analisis data yang digunakan adalah Regresi Linier Berganda.Hasil Penelitian menunjukkan bahwa 1) Emotional branding berpengaruh positif dan signifikan terhadap brand loyalty, 2) Customer satisfaction berpengaruh positif dan tidak  signifikan terhadap brand loyalty,, 3) Secara simultan emotional branding, customer satisfaction berpengaruh positif dan signifikan terhadap  brand loyalty
LAKSANAAN PERATURAN MENTERI PENDIDIKAN NASIONAL NOMOR 3 TAHUN 2009 TENTANG PETUNJUK TEKNIS PELAKSANAAN DANA ALOKASI KHUSUS (DAK) BIDANG PENDIDIKAN DALAM RANGKA GOOD GOVERNANCE
Authors: SELVIANTI ISYE
Published: February 2022

Dana alokasi Khusus (DAK) bidang pendidikan tahun 2009, disamping untuk memperbaiki layanan publik di bidang pendidikan khususnya prasarana belajar di Sekolah Dasar, juga untuk mewujudkan pengelolaan pendidikan yang transparan, akuntabel dan memotivasi partisipasi masyarakat agar dapat berperan aktif dalam pengelolaan dan pengawasan kegiatan pendidkan serta menjadi katalisator roda perekonomian masyarakat melalui aktivitas perbaikan infrastruktur pendidikan. Dalam pelaksanaannya DAK bidang pendidikan tahun 2009 mengacu pada Peraturan Menteri Pendidikan Nasional Nomor 3 Tahun 2009 tentang Petunjuk Teknis Pelaksanaan Dana Alokasi Khusus(DAK) Bidang Pendidikan Tahun Anggaran 2009.Tujuan penelitian ini adalah untuk mendeskripsikan dan mengidentifikasi serta menganalisis Pelaksanaan Peraturan Menteri tersebut khususnya disektor rehabilitasi infrastruktur dari perspektif akuntabiitas dalam rangka Good Governanance,serta.untuk mengungkapkan faktor-faktor pendukung maupun penghambat dalam realisasinya secara empirik dan dalam pelaksanaan akuntabilitasnya.Jenis penelitian yang digunakan di dalam penelitian ini adalah deskriptif dengan menggunakan pendekatan kualitatif. Dengan fokus penelitian meliputi; Kesesuaian antara Petunjuk Teknis Pelaksanaan Dana Alokasi Khusus (DAK) Bidang Pendidikan tahun anggaran 2009 dengan realisasinya di Kabupaten Ketapang Provinsi Kalimantan Barat dan akuntabilitas penggunaan DAK tersebut serta faktor-faktor pendukung maupun penghambat dalam realisasinya secara empirik dan dalam pelaksanaan akuntabilitasnya.Hasil yang diperoleh dalam penelitian ini menunjukan bahwa; indikator minimum untuk mengukur akuntabilitas telah terpenuhi, yaitu : (a) Adanya kesesuaian antara pelaksanaan dengan standar prosedur pelaksanaan; (b) Adanya mekanisme pertanggungjawaban kegiatan. (c) Adanya output dan outcome yang terukur (indicator kinerja),Yang menjadi Implementation Gap baik dalam merealisasikan peraturan menteri tersebut maupun dalam pelaksanaan akuntabilitasnya adalah;(a) Ketidakmampuan sumber daya manusia di bidang teknis dan administratif (b) Kekurangan dalam bantuan teknis. (c) Kurangnya desentralisasi (d) Pengaturan waktu (timing). Sementara itu faktor-faktor yang menjadi pendukungnya adalah; (a) Sikap implementator yang setuju dengan arah kebijakan. (b) Adanya dukungan dari pimpinan (c) Tersedianya dana yang cukup untuk melaksanakan program tersebut.
Pengaruh Pendidikan Kewirausahaan dan Karakter Wirausaha Terhadap Motivasi Usaha
Authors: Phutry Lellyzia
Published: February 2022

English

This study aims to determine the effect of the variables of entrepreneurship education and entrepreneurial characteristics in its role in influencing entrepreneurial motivation in students of UB's business administration study program. This type of research used in this research is explanatory research with a quantitative approach. The method used in sampling is slovin formula with random sampling techniques. Data collection techniques using questionnaires To collect data using questionnaires and observation. The analysis technique used is descriptive statistical analysis, inferential statistical analysis, multiple linear regression analysis, classic assumption test and hypothesis test. The results showed that both entrepreneurship education and entrepreneurial characteristics had a positive influence on entrepreneurial motivation

Keywords: Entrepreneurship Education, Characteristics of Entrepreneurship, Entrepreneurial Motivation

Abstrak

Penelitian ini bertujuan untuk mengetahui pengaruh variabel pendidikan kewirausahaan dan karakteristik kewirausahaan dalam perannya mempengaruhi motivasi wirausaha  pada mahasiswa program studi administrasi bisnis Universitas Brawijaya. Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian explanatory dengan pendekatan kuantitatif. Metode yang digunakan dalam pengambilan sampel yaitu rumus slovin dengan teknik random sampling. Teknik pengumpulan data menggunakan kuesioner Untuk mengumpulkan data menggunakan kuesioner dan observasi. Teknik analisis yang digunakan adalah analisis statistik diskriptif, analisis statistik inferensial, analisis regresi linier berganda, uji asumsi klasik dan uji hipotesis. Hasil penelitian menunjukkan bahwa baik pendidikan kewirausahaan maupun karakteristik kewirausahaan memiliki pengaruh positif terhadap motivasi berwirausaha

Keywords: Pendidikan Kewirausahaan, Karakteristik Kewirausahaan, Motivasi Wirausaha
Three Methods in Reliability Assessment of Engineering Structure
Authors:   Department of Mechanics, Metal Structures and Computer Methods, Kielce University of Technology, Poland., Potrzeszcz-Sut Beata , Dudzik Agnieszka ,   Department of Mechanics, Metal Structures and Computer Methods, Kielce University of Technology, Poland.
Published: February 2022

The work attempts to choose the handy methods for analyzing structural reliability. Comparative analysis of the methods was performed on an example of dome truss susceptible to stability loss from the condition of node snapping. In the reliability analysis of structure the load magnitudes (P), the axial stiffness of bars (EA), coordinate nodes (Z) are represented by random variables. The criterion of structural failure is expressed by the condition of non-exceeding the admissible load multiplier. The Hasofer-Lind reliability index was determined. In analysis were used three approaches differing way of defining the limit state function: Approach 1 – using of implicit limit state function, Approach 2 – using of explicit neural state functions, Approach 3 – using of the Hybrid Monte Carlo method.
МУЛЬТИФІЗИЧНЕ МОДЕЛЮВАННЯ ТЕПЛОВИХ ПРОЦЕСІВ У ТОРЦЕВІЙ ЗОНІ ПОТУЖНОГО ГЕНЕРАТОРА
Authors: Хвалін Денис
Published: February 2022

Показано переваги побудови математичних моделей у програмному середовищі COMSOL Multiphysics. Найсуттєвішою перевагою є можливість вирішувати мультифізичні задачі, що дозволяє створювати комплексні (взаємопов’язані) моделі. Представлено алгоритм, математичний опис і розв’язок задачі визначення розподілу електромагнітного поля та температури у торцевій зоні осердя статора потужного турбогенератора у разі застосування чисельного методу. Використано підхід для аналізу теплових процесів у торцевій зоні осердя статора турбогенератора послідовного логічного переходу від простої моделі електромагнітного поля в активній частині машини до більше складних моделей кінцевої зони з використанням попередніх результатів у наступних, що дозволяє отримати рішення для визначення розподілу температури в складних областях. Математична модель відрізняється від тих, що використовуються та відомі на сьогодні, більше повним урахуванням фізико-технічних факторів і достовірністю результатів розрахунку за умов простоти програмної реалізації.
СИСТЕМА РЕГЛАМЕНТУВАННЯ СОЦІАЛЬНО-ТРУДОВИХ ВІДНОСИН В БАНКІВСЬКИХ УСТАНОВАХ
Authors: Поплавська Оксана , Данилевич Наталія , Пасічніченко Дарія
Published: February 2022

У статті узагальнено практики та критичний аналіз регламентів організації трудової діяльності, зокрема у банківській сфері в умовах пандемії, що формують основу системи регламентування соціально-трудових відносин. Обґрунтовано, що під системою регламентування соціально-трудових відносин розуміється сукупність правил, стандартів, домовленостей щодо залучення, використання, реалізації праці, що дозволяє не лише ефективно реалізовувати такі відносини, але й досягати достатнього рівня якості, що сприяє формуванню позитивного бренду, іміджу компанії як роботодавця, забезпечує синергетичний ефект у реалізації цілей сталого розвитку. Авторські дослідження у банківській сфері дозволили узагальнити досвід та розробити рекомендації щодо формування системи регламентів соціально-трудової сфери, зокрема з організації трудової діяльності: унормування режиму праці та відпочинку, комунікацій, створення безпечних умов праці, організації робочих місць, тощо.
PRINCIPLES AND TECHNOLOGIES OF MODERN EDUCATION IN THE CONTEXT OF DIGITALIZATION
Authors: Sarnovska Nataliia
Published: February 2022

The use of digital technologies is an integral part of modern life because we live in the era of computerization. Digital technologies are being introduced into various fields of activity, for example, such as economy, industry, culture, service. In many areas, the use of digital technologies is considered a basic requirement. It can be seen that the digitalization of education is also taking place, i. e. process of transition to an electronic system. Digital technologies in education are a way of organizing a modern educational environment. They are developing at a fast pace. In this area, digital technologies help to present material to students more effectively, which expands learning opportunities. In the modern world, with the help of digital technologies, teachers also have the opportunity to communicate and keep in touch with colleagues from all over the world, from other educational establishments. On the Internet, you can find a lot of online chats, video conferences, webinars. The purpose of the work is to determine all the pros and cons of the processes associated with the digitalization of modern education. The research methods of analysis and generalization are used to consider the principles and technologies of the digitalization process in education taking into account modern terms and trends. It should be noted that with the constant development of technology and changing conditions for the educational process implementation, this issue always remains relevant..
Fitting Empirical Fundamental Diagrams of Road Traffic: A Comprehensive Review and Comparison of Models Using an Extensive Data Set
Authors: Bramich Daniel , Menendez Monica , Ambühl Lukas
Published: February 2022

Understanding the inter-relationships between traffic flow, density, and speed through the study of the fundamental diagram of road traffic is critical for traffic modelling and management. Consequently, over the last 85 years, a wealth of models have been developed for its functional form. However, there has been no clear answer as to which model is the most appropriate for observed (i.e. empirical) fundamental diagrams and under which conditions. A lack of data has been partly to blame. Motivated by shortcomings in previous reviews, we first present a comprehensive literature review on modelling the functional form of empirical fundamental diagrams. We then perform fits of 50 previously proposed models to a high quality sample of 10,150 empirical fundamental diagrams pertaining to 25 cities. Comparing the fits using information criteria, we find that the non-parametric Sun model greatly outperforms all of the other models. The Sun model maintains its winning position regardless of road type and congestion level. Our study, the first of its kind when considering the number of models tested and the amount of data used, finally provides a definitive answer to the question ``Which model for the functional form of an empirical fundamental diagram is currently the best?''. The word ``currently'' in this question is key, because previously proposed models adopt an inappropriate Gaussian noise model with constant variance. We advocate that future research should shift focus to exploring more sophisticated noise models. This will lead to an improved understanding of empirical fundamental diagrams and their underlying functional forms.

Accepted by IEEE Transactions On Intelligent Transportation Systems on 14th Dec 2021
PU-DetNet: An Efficient Deep Unfolding aided Smart Sensing Framework for Cognitive Radio
Authors: Shah Sanket , Patel Dhaval , Soni Brijesh , Lopez-Benitez Miguel , Govindasamy Siddhartan
Published: February 2022

 Spectrum sensing in cognitive radio (CR) paradigm can be broadly categorized as analytical based and data-driven approaches. The former is sensitive to model inaccuracies in evolving network environment, while the latter (machine learning (ML)/deep learning (DL) based approach) suffers from high computational cost. For devices with low computational abilities, such approaches could be rendered less useful. In this context, we propose a deep unfolding architecture namely the Primary User-Detection Network (PU-DetNet) that harvests the strength of both: analytical and data-driven approaches. In particular, a technique is described that reduces computation in terms of inference time and the number of floating point operations (FLOPs). It involves binding the loss function such that each layer of the proposed architecture possesses its own loss function whose aggregate is optimized during training. Compared to the state-of-the-art, experimental results demonstrate that at SNR= -10 dB, the probability of detection is significantly improved as compared to the long short term memory (LSTM) scheme (between 39% and 56%), convolutional neural network (CNN) scheme (between 45% and 84%), and artificial neural network (ANN) scheme (between 53% and 128%) over empirical, 5G new radio, DeepSig, satellite communications, and radar datasets. The accuracy of proposed scheme also outperforms other existing schemes in terms of the F1-score. Additionally, inference time reduces by 91.69%, 90.90%, and 93.15%, while FLOPs reduces by 62.50%, 56.25%, 64.70% w.r.t. LSTM, CNN and ANN schemes, respectively. Moreover, the proposed scheme also shows improvement in throughput by 56.39%, 51.23%, and 69.52% as compared to LSTM, CNN and ANN schemes respectively, at SNR = -6 dB. 
Robust Optimal Control for Demand Side Management of Multi-Carrier Microgrids
Authors: Carli Raffaele , Cavone Graziana , Pippia Tomás , De Schutter Bart , Dotoli Mariagrazia
Published: February 2022

This paper focuses on the control of microgrids where both gas and electricity are provided to the final customer, i.e., multi-carrier microgrids. Hence, these microgrids include thermal and electrical loads, renewable energy sources, energy storage systems, heat pumps, and combined heat and power units. The parameters characterizing the multi-carrier microgrid are subject to several disturbances, such as fluctuations in the provision of renewable energy, variability in the electrical and thermal demand, and uncertainties in the electricity and gas pricing. With the aim of accounting for the data uncertainties in the microgrid, we propose a Robust Model Predictive Control (RMPC) approach whose goal is to minimize the total economical cost, while satisfying comfort and energy requests of the final users.

In the related literature various RMPC approaches have been proposed, focusing either on electrical or on thermal microgrids. Only a few contributions have addressed the robust control of multi-carrier microgrids. Consequently, we propose an innovative RMPC algorithm that employs on an uncertainty set-based method and that can provide better performance compared with deterministic model predictive controllers applied to multi-carrier microgrids. With the aim of mitigating the conservativeness of the approach, we define suitable robustness factors and we investigate the effects of such factors on the robustness of the solution against variations of the uncertain parameters. We show the effectiveness of the proposed RMPC approach by applying it to a realistic residential multi-carrier microgrid and comparing the obtained results with the ones of a baseline robust method.

Postprint accepted for publication in IEEE Transactions on Automation Science and Engineering (T-ASE).

How to cite: R. Carli, G. Cavone, T. Pippia, B. De Schutter, and M. Dotoli, ”Robust Optimal Control for Demand Side Management of Multi-Carrier Microgrids,” IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1338-1351, July 2022.

DOI:  https://doi.org/10.1109/TASE.2022.3148856
Perancangan Sistem Informasi Penginputan Data Kapal pada PT Barakomindo Shipping Cabang Sorong Berbasis Web
Authors: Huwae Hesty Ningsih , Ramadhani Indri Anugrah , Matahari Matahari
Published: February 2022

Penelitian ini bertujuan untuk menghasilkan sistem informasi penginputan data kapal pada di PT Barakomindo Shipping cabang Sorong berbasis web serta bagaimana cara penggunaannya. Metode   Penelitian   yang digunakan dalam   pembuatan   sistem   informasi ini adalah  jenis   penelitian  R&D (Research and Development) dengan model perancangan Prototype. Metode pengujian sistem menggunakan black box testing, yang di uji oleh validator sistem dengan hasil pengujian sesuai tanpa terjadi eror pada sistem. Peneliti juga melakukan uji coba responden yang dilakukan pada staff PT Barakomindo Shipping. Berdasarkan hasil pengujian tersebut maka dapat dinyatakan bahwa Sistem Informasi Penginputan Data Kapal pada PT Barakomindo Shipping layak untuk digunakan.
Analisa Decision Tree Untuk Menentukan Jadwal Kerja Karyawan Restoran Pada Hari Libur
Authors: Martini Martini , Anwar Rian Septian , Masshitah Sari
Published: February 2022

Pelayanan yang baik merupakan salah satu indikator bagi usaha restoran agar dapat memuaskan pelanggan. Semakin cepat pelanggan mendapatkan pelayanan terbaik dari restoran maka dapat meningkatkan margin penjualan. Hal ini juga berkaitan dengan loyalitas pelanggan yang diharapkan dapat membeli kembali di restoran tersebut. Restoran terlihat ramai pengunjung pada hari-hari libur sehingga pelayanan seluruh karyawan semakin bertambah sibuk. Pelayanan yang baik tidak terlepas dari peran manajemen restoran dalam membuat keputusan untuk mengatasi masalah di hari libur.  Jika pelanggan tidak dilayani dengan baik maka dikhawatirkan pelanggan akan beralih ke restoran lain yang menyediakan produk sejenis. Penelitian ini bertujuan untuk menentukan kebutuhan jumlah karyawan khususnya di hari libur yang banyak dikunjungi pelanggan. Metode yang digunakan dalam penelitian ini adalah algoritma C4.5 untuk membangun Decision Tree yang menghasilkan keputusan sesuai masalah yang diteliti. Hasil dari penelitian ini berupa keputusan untuk mengatur jadwal shift karyawan atau menambah karyawan sesuai kebutuhan restoran khusus pada hari libur saja berdasarkan kedisiplinan karyawan.
Assistência de enfermagem a um paciente em convalescência por pênfigo: um relato de caso
Authors: Moraes de Araújo Kalíssia , Monteiro de Araújo Thaís , Fabrícia Oliveira da Silva Elaine , Bezerra Costa Ana Vitória , Cristina da Silva dos Santos Izabela , Laís Muller Deisi , Trajano Alves Kellyanne , Menezes de Azevedo Weverson , Portela de Azevedo Arimatéia
Published: February 2022

ntrodução: O pênfigo é uma doenças relativamente rara caracterizada pela formação de bolhas na pele e, às vezes, também nas mucosas (como boca, garganta, olhos, nariz e região genital de homens e mulheres). Objetivo: descrever um estudo de caso sobre uma paciente com pênfigo vulgar internada em um hospital referência em doenças tropicais do Amazonas. Métodos: pesquisa retrospectiva, descritiva com abordagem quantitativa. Resultados: Paciente há 10 dias iniciou quadro de bolhas finas que rapidamente evoluíram para erosões, com crostas hemáticas em região de face, dorso, tórax, abdome e membros inferiores (coxas e pernas). Também apresentando lesões bolhosas exsudativas, sangrantes aderentes as roupas de cama, disseminadas em todo o corpo, sem sinais de infecção, lesões de categoria dois. Foi evidenciado sinais de baixa-alto-estima, chorosa, poliqueixosa, expressão facial de angustia. Conclusão: há uma grande necessidade de padronizações em cuidados relacionados as lesões de pele, principalmente as que exigem complexidade em seu manejo como os pacientes portadores de pênfigo vulgar e que o paciente deve ser assistido como um todo.