bluuebunny/crossref_metadata_2025 huggingface dataset:
Seen But Not Heard? Collecting the History of New Zealand Childhood
Authors:   , Townsend Lynette Marea
Published: July 2022

This thesis examines the extent to which selected New Zealand museums have collected the history of childhood from their inception to the present. No research on collecting the material culture of childhood has been done in New Zealand and international studies in this area have mainly focused on exhibitions. In breaking new ground, this study conducts an in-depth analysis of objects relating to children that have been acquired over time and it evaluates how and why the experiences and perspectives of children have been incorporated into collections, and therefore which childhood histories have been preserved. The case study at the heart of this thesis focuses on the history collections of two large metropolitan museums, the Museum of New Zealand Te Papa Tongarewa and the Auckland War Memorial Museum. This thesis employs a multi-method approach in order to gain information about the collections, the objects and museum practices as they relate to children and childhood. Close scrutiny of museum collection databases, object files and accession registers enabled the documentation of what was in the collections and what associated information was recorded. Current and long serving curators were interviewed to provide unique perspectives and personal reflections on the realities and complexities of their practice. In addition, published museum histories, archival information and planning documents provided crucial information on the strategic collecting direction of each museum from 1851 to 2007. This study provides important empirical evidence on collecting the material culture of childhood. The thesis also provides new insights into museum theory and practice and advances the premise that museum collections are shaped by the historical context within which they were created, whether at the level of social discourses or the activities of individual people. There were changes in the kinds of childhood objects collected, from ethnographic specimens to colonial and decorative arts objects, to everyday objects that embody multiple perspectives and personal stories. Contrary to conventional wisdom, exhibitions and the 'new museology' are shown to be a positive influence on the inclusion of childhood objects, especially things that embody the child's perspective. The way that childhood objects provide a tangible material link to the past, capturing an element of history that cannot be expressed in text-based form, is evident throughout this research. The thesis concludes by arguing that the distinctive way museums make history provides an important opportunity for museums to ensure that children are included, visible and heard in New Zealand history.
Consumer Cannibalism
Authors:   , van Arendonk Ruth
Published: July 2022

What I am proposing to do here is to take the use of cannibalism as critique of corporeal exploitation made infamous in Thomas Prest's A String Of Pearls (better known as Sweeney Todd) and Charles Dicken' Our Mutual Friend and extend it to explore how I can use cannibalism to configure the consumption and exchange of the human body in contemporary (post) consumer culture. To suggest cannibalism as the 'eitgeist' or religare of society in that we are all corporeally, as well as socially, inter-dependent. My interest is not only the success but also the failure of the cannibal metaphor in how it describes the post-Industrial, post (as Baudrillard suggests) consumer culture of the west as beyond or dislocated from the reality that all value ultimately derives from flesh.
A House For Trees
Authors:   , Miller Hayley
Published: July 2022

Biodiversity loss is accelerating at a devastating rate, primarily driven by factors of climate change, loss of habitat, urbanisation, invasive species and pollution. Human activity is considered to be a major contributor to this loss of biodiversity, humans therefore must take on the responsibility to mitigate any damages to our natural environment.

Wellington is known to be a natural and biophilic city, however this level of green-space is minimal within the city centre. Typically, an increase of nature would be explored through new or repurposed urban green space designed under the direction of landscape architects, ecologists or conservationists. This thesis proposes that nature within the urban context is increased through architecture, rather than the typical approach of landscape, seeking to investigate the question of how can we design architecture to facilitate biodiversity?

This question has been investigated with a design-led research methodology. Three different phases of the design were explored to understand how architecture can facilitate biodiversity.

Firstly, it explores a concept design which only accommodates biodiversity.

Secondly, the design is explored through the human experience, how one would use the space and how humans interact with the surrounding nature.

Thirdly, a development of the design concerning critical feedback was undertaken to push the boundaries of how we currently design and connecting to surrounding sites through interventions of green space. Resulting in a residential, architectural design which becomes a part of the needed increase of green space.
The Effect of Survey Scale Sizes on How People Assess the Effect of the Built Environment on their Work Performance
Authors:   , Yuki Issei
Published: July 2022

Increase in employee work performance could lead to additional savings for businesses, and therefore investments to improve the indoor work environment could be very cost effective. However, these business decisions are based on self-reported work performance measures from surveys. Doubts have been raised as to the accuracy of these measures.

In addition to the uncertainties of the self-reported measures, two major post-occupancy surveys by Building Use Studies (BUS) and Occupant IEQ surveys by the Center for the Built Environment (CBE) use two different scales for occupants to report the change in their work performance. This research examines how the two scales influence people in how they report the environmental effect on their work performance.

An experiment has been conducted under three pink-noise conditions to obtain self-reported work performance measures using these two different scales for comparison. Other self-reported indicators of work performance such as motivation, job satisfaction, fatigue and distraction were also collected through surveys, and cognitive tests were conducted to obtain objective measures of work performance.

The results from this experiment show trends for the BUS scales that are 2–3 times larger than results from using CBE scales. These results are significant when the results are correlated with other self-reported indicators; however, the differences were not statistically significant when the scores were correlated with environmental conditions and cognitive performance. The data suggests that the two scales generate different results.

Different scales leading to different results suggests that use of these two surveys could lead business investment analysis in misleading directions. If the productivity bonus of an investment is 5% according to one and 10% according to the other, there is a problem. Business investment analysis using self-reported work performance as an estimate of actual work performance could be misleading if self-reported work performance is used to directly calculate hours of work and savings achieved. Further studies should recruit more subjects, consider other environmental stressors and examine differences obtained by using different survey questions.
A Discussion on the Constitution Factors of Thin Endometrium Based on the Theory of Qi and Blood
Authors: Qian Yuchun , Pu Rongfeng , Cai Jing
Published: July 2022

Thin endometrium has been proven to be a key contributing factor leading to infertility and poor pregnancy outcomes. Increasing the thickness and capacity of thin endometrium seems to be one of the challenging issues in reproductive medicine. The states of qi and blood are closely related to uterine blood circulation. Constitution is regarded as an important basis for determining the incidence as well as distinguishing, preventing, and treating diseases in traditional Chinese medicine. Based on the theory of qi and blood, this paper discusses the constitution factors of thin endometrium and puts forward the prospect of using big data tools to investigate the correlation between qi-blood imbalance constitution and the incidence of thin endometrium, so as to explore new approaches for the prevention and treatment of thin endometrium by regulating qi and blood as well as improving the constitution condition.
Application Value of Contrast-Enhanced Ultrasound in the Diagnosis of Breast Lesions
Authors: He Meiqing , Zhang Xixi , Li Hui , Wang Tian
Published: July 2022

Objective: To explore the value and effect of contrast-enhanced ultrasound in the diagnosis of breast lesions. Methods: Seventy-two patients with breast lesions in Shaanxi Provincial People’s Hospital from June 2020 to December 2021 were selected as the research subjects. All 72 patients met the diagnostic criteria of breast lesions. Two patients with incomplete clinical data were excluded; hence, there were 70 patients remaining. The diagnostic results of the two examination methods and the diagnostic value of the joint examination for breast lesions were analyzed and compared. Results: The results of benign, malignant, missed, and misdiagnosed breast lesions by contrast-enhanced ultrasound were 31, 32, 6, and 1 cases, respectively, accounting for 44.29%, 45.71%, 8.57%, and 1.43%, respectively. The results of benign, malignant, missed, and misdiagnosed breast lesions by ultrasound automatic volume imaging were 21, 24, 17, and 8 cases, respectively, accounting for 30.00%, 34.28%, 24.29%, and 11.43%, respectively. There were statistical differences between the two groups for missed diagnosis and misdiagnosis, but there was no significant difference between the two groups for benign and malignant lesions. The accuracy, sensitivity, and specificity of contrast-enhanced ultrasound were 87.69%, 83.62%, and 83.45%, respectively; the accuracy, sensitivity, and specificity of ultrasound automatic volume imaging were 71.39%, 68.99%, and 74.69%, respectively; the accuracy, sensitivity, and specificity of contrast-enhanced ultrasound combined with ultrasound automatic volume imaging were 96.29%, 92.68%, and 91.78%, respectively. Conclusion: Contrast-enhanced ultrasonography has a high clinical application value and a low inspection error rate in the diagnosis of breast lesions. It merits clinical advancement since it helps doctors diagnose and treat breast lesions more effectively.
A Study on Post-Traumatic Stress Disorder and Its Influencing Factors in Patients with Spinal Cord Injury
Authors: Li Shuiqin , Xue Yang , Li Chaonan , Fan Fan , Wei Wei , He Binyan
Published: July 2022

Objective: To investigate on post-traumatic stress disorder (PTSD) and its influencing factors in patients with spinal cord injury. Methods: From January 2019 to December 2021, 168 patients with spinal cord injury in The First Affiliated Hospital of Xi’an Medical University were selected as the research subjects. Among the patients, 77 were female patients, with an average age of 56.39 ± 13.98, and 91 were male patients, with an average age of 58.12 ± 14.01. Clinical data were collected, and the factors influencing PTSD in patients with spinal cord injury were analyzed and observed. Results: The patients were divided into two groups according to diagnosis (98 cases with PTSD, and 70 cases with non-PTSD). Among them, there were 62 male and 36 female patients in the PTSD group, and 29 male and 41 female patients in the non-PTSD group; in the PTSD group, 62 patients were ? 50 years old, while 36 patients were < 50 years old, whereas in the non-PTSD group, 31 patients were ? 50 years old, while 39 patients were < 50 years old; 46 and 52 patients in the PTSD group and 33 and 37 patients in the non-PTSD group were single and married, respectively; in the PTSD group, the number of patients that fall under each demographic factor can be summarized as follows: education level (29 junior high school and below, 12 high school/secondary school, 57 college and above), religious belief (69 none, 29 yes), personality (31 introverted, 24 ambiverted, 43 extroverted), complications (52 yes, 46 no), type of injury (34 complete, 64 incomplete), post-traumatic coma (25 yes, 73 no), degree of pain (51 mild, 14 moderate, 33 severe), resilience (36 low, 62 high), and social support (12 low, 39 moderate, 47 high); in the non-PTSD group, the number of patients that fall under each demographic factor can be summarized as follows: education level (7 junior high school and below, 37 high school/secondary school, 26 college and above), religious beliefs (53 none, 17 yes), personality (18 introverted, 47 ambiverted, 5 extroverted), complications (32 yes, 38 no), type of injury (45 complete, 25 incomplete), post-traumatic coma (49 yes, 21 no), degree of pain (31 mild, 38 moderate, 1 severe), resilience (55 low, 13 high), and social support (51 low, 13 moderate, 6 high); there was statistical difference between the two groups in terms of gender, age, education level, personality, injury type, post-traumatic coma, degree of pain, resilience, and social support (p < 0.05). Conclusion: PTSD in patients with spinal cord injury is positively correlated with gender, education level, degree of pain, psychological resilience, and social support. Clinically, more emphasis should be on its influencing factors, and early intervention should be reinforced to reduce the risk of PTSD.
Time is the Best Author. It always Writes The Perfect Ending - Charlie Chaplin
Authors: A Dr. Suchetha
Published: July 2022

None
Current Trends and Controversies in Periodontal Dressing – A Narrative Review
Authors: Subramanya Ashwin Parakkaje , Vardhan Karthikeyan Bangalore , Prabhuji MLV
Published: July 2022

Periodontal dressings have a history of nine decades and yet, the uses and benefits of periodontal dressings are questioned. There are different types of periodontal dressings based on the composition, setting, consistency, and solubility. Various authors have studied the properties of periodontal dressings. However, majority of them have emphasized only on their biocompatibility and therapeutic benefits. Eugenol-based periodontal dressings are no longer used due to their cytotoxic properties. Currently, popular ones are zinc oxide-based without eugenol in their composition. Although light-cured periodontal dressings fetched some attention due to its biocompatibility, aesthetics and comfort in application, its use is limited due to relatively higher cost. Mucoadhesive patches were introduced, however, due to their limited action time, it is not indicated universally. In recent times, there is growing interest in biological dressing materials which are found to be more tissue friendly and aid in better healing. Literature reveals mixed opinions on the use of periodontal dressings in different clinical scenarios. As there is no proper consensus on the use of periodontal dressings, it becomes the choice of a clinician to decide on the use of periodontal dressing based on the clinical condition.
Analisis Perbandingan Performansi Kontroler RYU Dan POX Berbasis Software Defined Network (SDN) Pada Routing OSPF
Authors: Shodiq Farid Fajar , Prihanto Agus
Published: July 2022

Abstrak— Routing adalah proses proses pencarian lintasan yang akan di lalui oleh paket data. Software Defined Network (SDN) adalah sebuah konsep konfigurasi jaringan computer baru yang dimana data plane dan control plane dipisahkan. Kelebihan dari Software Defined Network dibandingkan dengan jaringan konvensional yaitu, pemusatan konfigurasi pada kontroler Software Defined Network. Pada penelitian ini, skenario jaringan Software Defined Network di bangun menggunakan software mininet untuk pembentukan topologinya dengan menerapkan algoritma Dijkstra pada kontroler RYU dan POX untuk pemilihan jalur terpendeknya. Pada pengujian dibentuk 6 topologi dengan pemberian bobot yang berbeda, tujuan pembedaan bobot untuk memastikan bahwa algoritma Djikstra benar benar dapat di terapkan pada kontroler RYU dan POX. Pemberian bobot juga dilakukan agar kontroler dapat membentuk tabel routing untuk mengidentidikasi jalur tercepat yang akan di lalui oleh paket data tersebut. Hasil pengujian pada semua topologi diambil rata-ratanya untuk membandingkan performansinya. Hasil rata-rata dari semua pengujian adalah 1) pengujian waktu konvergensi pada RYU 0.4143s dan POX 0.5231s, 2) pengujian throughput yang di hasilkan RYU 12781.79kb/s dan POX 11412.24kb/s, 3) pengujian delay yang di hasilkan RYU 0.223ms dan POX 0.247ms, 4) pengujian jitter yang di hasilkan RYU 0.08ms dan POX 1.21ms. 5) rerata pengujian Packet Loss yang di hasilkan RYU 0 dan POX 0.2%.Kata Kunci—SDN, Mininet, RYU, POX.

 

Routing is the process of finding the path to be traversed by data packets. Software Defined Network (SDN) is a new computer network configuration concept in which the data plane and control plane are separated. The advantage of a Software Defined Network compared to a conventional network is that the configuration is centralized on the Software Defined Network controller. In this study, the Software Defined Network network scenario was built using mininet software for the formation of the topology by applying the Dijkstra algorithm to the RYU and POX controllers for the selection of the shortest path. In the test, 6 topologies were formed with different weights, the purpose of the weight difference is to ensure that the Djikstra algorithm can really be applied to the RYU and POX controllers. Weighting is also done so that the controller can form a routing table to identify the fastest path to be traversed by the data packet. The test results on all topologies are averaged to compare their performance. The average results of all tests are 1) testing the convergence time at RYU 0.4143s and POX 0.5231s, 2) throughput testing the resulting RYU 12781.79kb/s and POX 11412.24kb/s, 3) delay testing the resulting RYU 0.223 ms and POX 0.247ms, 4) jitter test which resulted in RYU 0.08ms and POX 1.21ms. 5) the average Packet Loss test produced is RYU 0 and POX 0.2%.Keywords— SDN, Mininet, RYU, POX.
Penerapan Algoritma C4.5 Untuk Mengatur Persediaan Stok Barang Berbasis Website
Authors: Saputra Abastian Dwi , Qoiriah Anita
Published: July 2022

Pandemi Corona Virus Disease (COVID-19) masih terjadi di Indonesia. Pencegahan COVID-19 yang dilakukan oleh pemerintah yaitu menerapkan peraturan Pembatasan Sosial Berskala Besar (PSBB) dan Pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM). Usaha Mikro, Kecil, dan Menengah (UMKM) adalah salah satu dampak dari diterapkan peraturan PSBB dan PPKM. Masalah yang terjadi pada UMKM yaitu mendapatkan masalah dalam menentukan stok persediaan barang, yang mana apabila barang mengalami kelebihan atau kekurangan akan menyebabkan kerugian. Dengan masalah yang terjadi pada UMKM, peneliti akan membantu UMKM dalam menentukan persediaan stok barang. Permasalahan tersebut dapat diatasi menggunakan data mining dengan klasifikasi algoritma C4.5. Algoritma C4,5 merupakan metode dengan mengklasifikasi data yang ada sehingga membentuk pohon keputusan. Pohon keputusan akan membantu menentukan persediaan stok barang yang perlu untuk ditambah atau tidak. Pada penelitian ini yaitu membantu UMKM penjual madu yang berjualan pada toko online untuk menentukan persediaan stok madu pada bulan berikutnya. Hasil dari penelitian dengan menggunakan algoritma C4.5 yaitu membentuk pohon keputusan yang dapat membantu UMKM dalam menentukan persediaan stok barang untuk satu bulan berikutnya. Algoritma C4.5 pada penelitian ini mempunyai accuracy sebesar 86.46%, precision sebesar 88,51%, recall sebesar 96,25%, dan F1 sebesar 92,22% .
Analisis Performansi Web Server Menggunakan Load Balancing pada Virtualisasi Docker Container
Authors: Abdillah Thoyyib , Prismana I Gusti Lanang Putra Eka
Published: July 2022

Pada saat ini teknologi mengalami perkembangan yang sangat pesat, termasuk pada performansi web server. Container merupakan teknologi virtualisasi terbaru, dengan adanya container akan memudahkan system administrator dalam mengelola aplikasi pada server. Docker container dapat digunakan untuk membangun, mempersiapkan, dan juga menjalankan aplikasi. Docker juga dapat membuat aplikasi dari bahasa pemrograman yang berbeda pada lapisan apapun. Aplikasi dapat di bungkus dalam container, dan aplikasi juga dapat berjalan pada lingkungan apapun dimana saja. Penelitian ini bertujuan untuk menguji kinerja web server ketika diakses, jika web server memiliki beban traffic yang tinggi maka sangat berpengaruh, kemampuan Web Server  dipengaruhi oleh konfigurasi perangkat lunak pada IT infrastruktur. Untuk melihat ada atau tidaknya perbedaan antara sebelum dan sesudah konfigurasi pada web server dilakukan dengan melakukan uji beda paired sample test. Pada tes uji tingkat performa penulis menggunakan tools berupa httperf dan juga ab (apache benchmark) sebagai uji beban serta teknik analisis yang digunakan adalah Independent Sample Test (riset pengujian) terhadap dua sample. Pada hasil penelitian ini menunjukkan bahwa dalam pengujian terhadap load balancing dengan menggunakan 2 node dan juga load balancing menggunakan 3 node, menghasilkan waktu dalam melakukan tes dengan 2 node yang lebih cepat daripada 3 node. Untuk request per second, load balancing dengan 3 node memiliki waktu request per detik lebih kecil daripada 2 node. Kemudian time per request yang dibutuhkan untuk load balancing 2 node lebih sedikit.
The Impact of Insecurity on Agricultural Food Loss in Nigeria.
Authors:   Agricultural Leadership, Education and Communication at Texas A&M University, United States of America, ILESANMI Olawunmi , ODEFADEHAN Christian T. ,   Department of Architecture, Caleb University, Imota, Lagos, Nigeria
Published: July 2022

This research examined the impact of insecurity on agricultural food loss in Nigeria using the time series data from 2011 –2020. Regression analysis was employed to evaluate the impact of insecurity on agricultural food loss in Nigeria. The relationship examined was between the dependent variable: Agricultural gross domestic product (AGDP) which serves as a representative of agricultural food production. The explanatory (independent) variables are poverty rate, unemployment rate, crime rate, and federal government expenditures on internal security in Nigeria. The result indicated an R2 value of 0.42 which implies that 42% of the proportion of variation in AGDP was explained by the independent variables. Also, the result revealed that CIR and UNEMP were negatively related to Agricultural productivity (AGDP) i.e. contribution to food loss whose coefficients indicate (-0.27) and (-0.67) respectively. It is therefore recommended that Government and policymakers should make an unrelenting effort to improve the agricultural sector with the aid of modern mechanised equipment in order to reduce the level of unemployment, poverty, and crime rate in Nigeria and solve issues of insecurity in the country. Keywords: Insecurity, Agricultural productivity, Food loss, Sustainable development, Crime rate.
A new variety of soft winter wheat Yuzhnaya Zvezda, created at the North Caucasus Federal Scientific Agricultural Center
Authors: Kovtun Viktor Ivanoich , Kovtun Liudmila Nikolaevna
Published: July 2022

The article presents the morphology, methods of creation and the results of a study by the type of competitive tests of a new variety of soft winter wheat Yuzhnaya Zvezda. The new variety belongs to the erythrospermum variety. A new genotype was synthesized by the method of intraspecific hybridization and continuous, purposeful selection from crossing Lidiya and Zustrich varieties. The average grain yield over the years of study (2019-2021) was 9.43 t/ha. The excess over the standard Grom variety was high and significant - plus 1.80 t/ha. The variety has high resistance to lodging and field resistance to a complex of pathogens affecting winter wheat in the recommended cultivation regions. Along with a high yield, the genotype of the new variety also contains a high grain quality of strong wheat. Due to the complex of economic and biological characteristics and properties that the Yuzhnaya Zvezda variety possesses, it should be attributed to varieties of resource-energy-saving technologies.
Variety study of home plum for intensive plants in arid conditions of the Northern Caspian region
Authors: Alexandrova Tatyana Ivanona
Published: July 2022

The results of biometric indicators of growth, features of the passage of the main phenological phases of development, analysis of precocity, yield and commercial qualities of fruits of various plum varieties are presented. The studies were carried out on the irrigated plot of the orchard of the Federal State Budgetary Scientific Institution "Caspian Agrarian Federal Scientific Center of the Russian Academy of Sciences", which was founded in 1993. The difficult climatic conditions of the region require the selection of varieties, first of all, with increased adaptive potential. As a result of the research, it was found that the Renklod Altana (3.1 m) and Mechta (3.1 m) varieties had the highest tree height. All studied varieties began to bear fruit in the 3rd year. Stable fruiting was observed in all varieties in the 5th year of vegetation. The highest yield was obtained in the variety Tatyana - 8.6 kg/tree.
Evaluation of promising breeding material based on turgid and durum wheat
Authors: Romanov Boris Vasilievich , Pimonov Konstantin Igorevich
Published: July 2022

The purpose of the research is to evaluate the selected breeding material from a complex combination of turgid hybrid with winter durum wheat of the Donchanka variety. The hybrid selected at the initial stage was further decomposed into red-grain and white-grain genotypes. As a result of the study, higher production characteristics of the selected hybrid genotypes are shown in comparison with the original Donchanka. The increase in the production characteristics of hybrids occurred due to an increase in the number of grains and their size. The highest yield was shown by white-grained hybrid forms, which were distinguished not only by a large number but also by a larger mass of grain from the ear. The red-grain hybrid forms differed by a slightly smaller number of grains in the ear, but their noticeable size, that is, a larger mass of 1000 grains. When crossing a previously obtained hybrid form of turgid wheat [(tur x tur) x Terra] with the Donchanka winter durum wheat variety, highly productive white-grain and red-grain genotypes were identified, which were almost 25% superior to the zoned initial durum wheat variety on such an important breeding trait as the weight of grain from the ear. The quality indicators of grain in these forms remained at the level of the original Donchanka, which makes them a very promising breeding material.
Optimizing the use of "Reasil®Humic Vet" when growing clary catfish
Authors: Korobov Alexander Aleksandrovich , Zimens Yulia Nikolaevna , Vasiliev Aleksey Alekseevich , Тishenkov Peter Ivanovch , Skachkova Olga Aleksandrovna
Published: July 2022

The article presents the results of a study to determine the effectiveness of using "Reasil®Humic Vet " as a feed additive for growing Clary catfish in closed water supply installations in order to increase the productivity and survival of fish.
Assessment of the safety of the use of plant protection products - derivatives of aromatic amines based on micellar catalytic reactions
Authors: Sergeeva Irina Vyacheslavovna , Mokhonko Yulia Mikhailovna , Andriyanova Yulia Mikhailovna , Gusakova Natalia Nikolaevna , Sergeeva Evgenia Sergeevna
Published: July 2022

The features of the interaction of aromatic aldehydes (by the example of p- dimethylaminocinnamaldehyde) with pesticides, derivatives of aromatic amines and ureas were studied; the optimal conditions for the reaction were determined; the influence of various types of surface-active substances  on the state of the reaction products was studied; the choice of the type of anionic surfactant to improve the analytical characteristics of the reaction products was justified. They are developed highly efficient methods for the photometric and test determination of individual pesticides, derivatives of aromatic amines and ureas, at the level of MAC fractions in micellar surfactant solutions.
Study of the operation of the anti-erosion hydraulic system
Authors: Abdrazakov Fyarid Kinzhaevich , Mikheeva Olga Valentinovna
Published: July 2022

The article presents the results of studies of an anti-erosion hydroelectric complex, assesses its performance, and shows the effectiveness of the fight against water erosion in the downstream.
K-Means and K-NN Methods For Determining Student Interest
Authors: Guslendra Guslendra , Defit Sarjon , Bastola Ramesh
Published: July 2022

Putra Indonesia University 'YPTK' Padang's Department of Information Systems, Faculty of Computing Science has three specializations, namely Information Technology Management, Business Information Systems, and Industrial Information Systems. In the fifth semester, the acquisition of specializations takes place. In the next semester, the selection of specialist programs will be determined. The option of the degree is adapted to students' needs and capacities. The acquisition of results generated in the previous semester can be seen. The objective of this survey is to provide students with suggestions for the collection of degrees. The study was performed using K-Means and K-Nearest Neighbor methods to obtain the classification of students and the correlation between recent cases and past cases. This analysis uses 13 characteristics, of which 12 are predictors and 1 is the option. The test results can be used as a way to suggest the student preferences based on preset attributes through the K-Means and K-NN methods.
A Novel Approach for Recognition and Identification of Low-Level Flight Military Aircraft using Naive Bayes Classifier and Information Fusion
Authors: Sumari Arwin Datumaya Wahyudi , Nugraheni Afifah Millatina , Yunhasnawa Yoppy
Published: July 2022

A problem that has been faced by the Radar is if the aircraft flies at low level or near to the surface so its coming in the aerial-surveillance airspace cannot be detected and endangers the air sovereignty. The aircraft can be recognized and identified by carrying out a technique called Visual Aircraft Recognition (VACR) using a binocular. This technique requires military personnel that has capability carrying out the air surveillance from the ground. Surveillance is a time-consuming and tiring task so it can cause fatigue and impact to the results of the recognition and identification. To cope with this problem, we have designed and implemented a novel recognition and identification method using the combination of Naive Bayes Classifier (NBC) and information fusion. By using a dataset that consists of 45 military aircrafts, 35 civilian aircrafts, 40 military helicopters, and 35 civilian helicopters with 80:20 dataset distribution for the training scheme and the validation one, we obtained the recognition accuracy of 87.1%. We also found that the recognition and identification process can be speeded up 1.2 seconds when using information fusion.
A Mobile Deep Learning Model on Covid-19 CT-Scan Classification
Authors: Susanto Prastyo Eko , Kurniawardhan Arrie , Fudholi Dhomas Hatta , Rahmadi Ridho
Published: July 2022

COVID-19 pandemic is currently happening in the world. Previous studies have been done to diagnose COVID-19 by identifying CT-scan images through the development of the novel Joint Classification and Segmentation System models that work in real-time. In this study, the author focuses on a different motivation and innovation focused on the development of mobile deep learning. Mobile Net, a deep learning model as a method for classifying the disease COVID-19, is used as the base model. It has a good level of efficiency and reliability to be implemented on devices that have small memory and CPU specifications, such as mobile phones. The used data in this study is a CT-scan image of the lungs with a horizontal slice that has been classified as positive or negative for COVID-19. To give a broader analysis, the author compares and evaluates the model against other architectures, such as MobileNetV3 Large, MobileNetV3 Small, MobilenetV2, ResNet101, and EfficientNetB0. In terms of the developed mobile architecture model, the classification of COVID-19 using MobileNetV2 obtained the best result with 0.81 accuracy.
Smart Contract Blockchain Application Design Based on The Distribution of Product Return Transaction Data
Authors: Ekawati Ratna , Arkeman Yandra , Suprihatinr Suprihatinr
Published: July 2022

In 2020, there will be 1% bulk sugar product returns. Direct return to warehouse; it is not known how much and what kind of sugar was returned. Changes in the number of uncontrolled product availability occur in the logistics sector. We designed a sugar volume return mechanism to verify the identity of the buyer, the amount and time of the transaction, using the steps of investigation, analysis, and system design that can implement. The application is based on the truffle test framework and smart contracts on the Ropsten test network on the Ethereum Metamask platform wallet, localhost memory, and a decentralized web-based dashboard. Input data on the smart contract so that during the Ropsten net test process, it will generate blocks, hash codes, and contract hashes as transaction details. It also displays a summary report and a blockchain transaction dashboard. How much volume will increase or decrease due to returns, buyers, type of sugar commodity, time, and volume of sugar during data transactions is known. The features developed for smart contracts are private, semi-public transactions with consensus proof of work as validation and verification of the success of transaction data records.
Financial Management System (QRIS) based on UTAUT Model Approach in Jabodetabek
Authors: Kadim A , Sunardi Nardi
Published: July 2022

The focus of this research is the use of e-money information technology by adapting the UTAUT model to determine the effect of performance expectations, business expectations, social influences and facilitation conditions to public interest in using Server Base Payment System: Quick Response Code Indonesian Standard (QRIS) in Jabodetabek. This study uses a quantitative descriptive method. The population of this study was Jakarta, Bogor, Depok, Tangerang, Bekasi (Jabodetabek) citizen and the sample of fespondent are 125 by using targeted sampling method. Data analysis by lisrel. The results of this study informed that behavioral intersest was not affect with positive and significant by performance expectations and social influence but was affect with positive and signifianct by effort expectation. Jabodetabek citizens usage behavior in QRIS payment tools was affect with positive and significant by facilities conditions and behavioral interest.
The Influence of Training, Work Environment and Career Development on Work Motivation That Has an Impact on Employee Performance at PT. Suryamas Elsindo Primatama In West Jakarta
Authors: Sugiarti Endang
Published: July 2022

This study aims to determine the effect of training, work environment, career development on work motivation which has an impact on employee performance at PT. Suryamas Elsindo Primatama in West Jakarta. The method used is quantitative. The sampling technique used saturated sampling, which amounted to 127 respondents. Data analysis used validity test, reliability test, classical assumption test, regression analysis, correlation coefficient analysis, coefficient of determination analysis and hypothesis testing. The results of the training research have a significant effect on work motivation by 31.0% and hypothesis testing is obtained t count > t table or (7.498 > 1.979) this is strengthened by a significance of 0.000 < 0.05. The work environment has a significant effect on work motivation by 41.1% and hypothesis testing is obtained t count > t table or (9.343 > 1.979) this is strengthened by a significance of 0.000 <0.05. Career development has a significant effect on work motivation by 29.6% and hypothesis testing is obtained t count > t table or (7.248 > 1.979) this is strengthened by a significance of 0.000 <0.05. Training, work environment and career development simultaneously have a significant effect on work motivation with the regression equation Y = 6.565 + 0.226X1 + 0.403X2 + 0.220X3, the value of determination is 52.3% and hypothesis testing is obtained F count > F table or (44.922 > 2.450), this is also reinforced with a significance of 0.000 < 0.05. Work motivation has a significant effect on employee performance by 36.4% and hypothesis testing is obtained t count > t table or (8.452 > 1.979) this is strengthened by a significance of 0.000 <0.05
BSI COMPETITIVE STRATEGY AFFECT PURCHASING DECISIONS OF CONVENTIONAL BANK CUSTOMERS IN INDONESIA
Authors: Iskandar Ahmad Syarief , Jabani Muzayyanah , Kahar Muang Muh. Shadri
Published: July 2022

This study tries to explain and analyze what strategies Bank BSI has in its competitive process, and how it affects the purchasing decisions of conventional bank customers. The study of competitive strategy at BSI bank is very strategic to discuss because it is a study of contemporary issues and is urgently needed at a time when Islamic banking institutions are becoming mainstream for customers in Indonesia. This research is reveal that  The cost leadership variable has a positive and significant effect on purchasing decisions at Bank BSI. Variable differentiation has a significant positive effect on purchasing decisions at Bank BSI, which means that the better differentiation at Bank BSI, it will not improve purchasing decisions. customer. variable focus has a positive and significant effect on purchasing decisions on BSI bank products, which means the better the focus at BSI Bank, the better purchasing decisions will be. The limitation of this research is that it has not conducted experimental research related to consumer psychology. In-depth research on consumers needs to be done qualitatively with a phenomenological approach. In addition, the population space is very small so that the sampling technique only makes cluster sampling limited to one area so that it is possible to choose a larger cluster sampling area.
Effect Of Work Ethos And Compensation On Employees' Professional Commitment
Authors: Supardi S , Yulianah Y , Ariawan Joko
Published: July 2022

This study aims to determine the effect of work ethic and compensation on the professional commitment of the Convenience Store Employees at Sorek 1. The type of data used in this study is quantitative data obtained from questionnaires distributed and related to the problems studied. The population in this study were all general employees of 47 people, so the sampling technique in this study used a saturated sampling technique or census sampling, where all members of the population were sampled. The data analysis technique used to test the hypothesis is simple linear regression analysis and data quality test.Based on the results of data processing using statistical calculations, the results of the model analysis are as follows, Y = -0.717 + 0.857 X1 + 0.762 X2. The work ethic t-test with a t-count value of 8.437 > t-table 2.024 and a sig value of 0.000 <0.05, indicates that work ethic has a positive and significant effect on professional commitment. And the t arithmetic value is 6.286 > t table 2.024 with a sig value of 0.002, it can be said that compensation has a positive and significant effect on employee professional commitment. Test the coefficient of determination above, the value of Adjusted R Square is 0.685 or 68.5%. This shows that work ethic and compensation or independent variables are able to influence employee professional commitment or the dependent variable is 68.5%.
Implementation of Knowledge Management and Human Capital in Micro, Small and Medium Enterprises
Authors: Lubis Fajar Rezeki Ananda
Published: July 2022

Any organization's success is contingent upon the activities of its staff. This results in ongoing changes in human capital management, where knowledge is viewed as critical for developing appropriate responses to market changes and uncertainties. This study will examine the theoretical underpinnings of knowledge management in the Micro, Small, and Medium-Sized Enterprises (MSME) sector from this vantage point. This research focuses on the importance of knowledge in business, human capital management, and knowledge management for MSME players in order to accomplish this goal. The methodology utilized is qualitative in nature and entails a review of theory and literature to establish a determined viewpoint on problems pertinent to the research object. The findings indicate that human capital management is frequently informal, resulting in an insufficient understanding by MSME actors of the importance or low value of their workforce, which is treated as an operator or manual worker rather than as a subject, thereby underestimating them by failing to recognize that they possess the necessary knowledge to strengthen their creativity and innovate in response to competitive demands. We argue that this technique violates fundamental knowledge management principles, most notably adaptability, self-confidence, leadership, and human resource development, all of which contribute to business-to-market uncertainty.
Mobile Forensic Investigation of Fake News Cases on Instagram Applications with Digital Forensics Research Workshop Framework
Authors: Riadi Imam , Herman Herman , Rafiq Irhash Ainur
Published: July 2022

The number of digital crimes or cybercrimes today continues to increase every year, and lately a lot of it happens on social media like Instagram. The social behavior of today's people who communicate more through social media encourages the perpetrators of these digital crimes. Instagram is a social media that is often found content that contains elements of pornography, hoax news, hate speech, etc. This research is aimed at processing digital evidence of cases of the spread of hoax news on the Instagram application. This research follows the framework of the Digital Forensics Research Workshop (DFRWS) with six stages, namely identification, preservation, collection, examination, analysis, and presentation. The process of obtaining digital evidence is assisted by the application of Axiom Magnet and Cellebrite UFED. Digital evidence sought from the smartphone device of the suspected hoax news disseminator seized following the case scenario consists of 8 variables in the form of accounts, emails, images, videos, URLs, times, IP address, and location. The results of this research with the help of the application of Magnet Axiom digital proof obtained 87.5% and the Cellebrite UFED application of 68.75%. The results of this study show that Magnet Axiom has better performance than MOBILedit Forensics.
Improvement and Analysis of Phase-Phase Failure of Double Feed Induction Generator Using Maximum Power Monitoring Method
Authors: DURSUN Mustafa
Published: July 2022

This study presents an analysis and control method for the doubly fed induction generator (DFIG) based wind energy production under the conditions of sudden grid voltage dips. The control aims are as follows: limiting the rotor currents, suppressing the fluctuations in the torque and suppressing the dc-link voltage fluctuation via the converter controls and ensuring maximum power point tracking. Rotor side converter (RSC) and grid side converter (GSC) structures have been given in the article and their limitations have been specified. Maximum power tracking control block has also been included in the system and its structure has been given. In this study; while RSC is controlled in a way that it will suppress the fluctuations in the torque and rotor currents, GSC is controlled in a way that it will suppress the fluctuations in dc-link voltage while taking the rotor power impact into consideration. Crowbar unit has been used in the rotor side to minimize these impacts. This unit is activated at the moment when a grid dip occurs and deactivates the RSC side. In this way, RSC side will not be affected by the high current fluctuations. The detailed results of the study were carried out in the MATLAB/Simulink environment,and the effectiveness of the proposed method was supported by the graphic results.
Güve-Alev Optimizasyon Algoritması Kullanarak Pleurotus cornucopiae var. citrinopileatus Mantarı Ekstraksiyon Koşullarının Optimizasyonu
Authors: GÜRGEN Ayşenur
Published: July 2022

Bu çalışmanın amacı, Pleurotus cornucopiae var. citrinopileatus mantarı ekstraksiyon koşullarının yapay zekâ metotlarıyla optimize edilmesidir. Bu amaç doğrultusunda %0, 30, 60, 90 etanol oranı kullanılarak, 1, 2 ve 4 mg/mL ekstrakt konsantrasyonunda elde edilen ekstraktların, 1,2, 3, 4,2 ve 6 pH koşullarındaki antioksidan aktiviteleri mevcut bir deneysel çalışmadan elde edilmiştir. Ekstraksiyon koşullarının modellenmesi Yapay Sinir Ağları (YSA) ile yapılmış ve Güve-Alev Optimizasyon (GAO) algoritması kullanılarak optimize edilmiştir. En iyi tahmin modelini elde etmek için farklı gizli nöron sayıları denenmiş ve en uygun gizli nöron sayısı 5 olarak bulunmuştur. Elde edilen bu modelin hata karelerinin ortalaması ve ortalama mutlak yüzde hatası tüm veri seti için sırasıyla 1,79 ve %3,24 olarak bulunmuştur. Optimizasyon süreci sonrasında maksimum antioksidan aktivite %56,76 olarak bulunmuştur ve bu sonucu elde etmek için optimum ekstraksiyon parametreleri %66,34 etanol oranı, 4 mg/mL ekstrakt konsantrasyonu ve 2,36 pH olarak belirlenmiştir. Bu çalışma, YSA ve GAO algoritmasının birlikte kullanılması ile ekstraksiyon koşullarının optimizasyonunda zaman, emek ve maliyetverimliliği sağlandığını ortaya koymuştur.
Strawberry Ripeness Assessment Via Camouflage-Based Data Augmentation for Automated Strawberry Picking Robot
Authors: SADAK Ferhat
Published: July 2022

Vision-based strawberry picking and placing is one of the main objectives for strawberry harvesting robots to complete visual servoing procedures accurately. Occlusion is the main challenge in strawberry ripeness detection for agriculture robots. In this study, strawberry ripeness detection was proposed using a camouflage-based data augmentation strategy to simulate the natural environment of strawberry harvesting conditions. Yolov4, Yolov4 tiny and Yolov4 scaled, and their traditional data augmentation and camouflage-based data augmentation derivatives were used to find out the effect of camouflage-based augmentation technique in overcoming the occlusion issue. Then the results were mainly evaluated based on mean Intersection over Union (IoU), F-1 score, average precision (AP) for ripe and unripe strawberries and frame per second (fps). Yolov4 tiny with camouflage-based data augmentation technique has demonstrated superior performance in detecting ripe and unripe strawberries with 84% IoU accuracy ~99% AP for ripe and unripe strawberries at an average of 206-fps, satisfying the agriculture strawberry harvesting robot operation need. The performance of the suggested technique was then tested successfully using a dataset termed the challenge dataset in this study to demonstrate its performance in a complex and occluded strawberry harvesting environment. Camouflage-based data augmentation technique helps to increase the detection procedure of ripe and unripe strawberries toward autonomous strawberry harvesting robot.