bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Evaluation of Clinical and Radiographic Success of Aloe-Vera and Formocresol Pulpotomy in Primary Molars- A Randomised Control Trial
Authors: Divya D Putalikar , Mallaya C Hiremath , SK Srinath , . Imyangluba
Published: July 2022

Background: Despite pulp devitalisation and systemic toxicity, Formocresol is still preferred for pulpotomy. Recently, there has been an increase in use of herbal pulp agents due to their anti-inflammatory and antibacterial properties with less adverse effects compared to those that are chemically synthesized. Aloe-Vera is one such agent which is evaluated in this clinical study. Objective: The objective of the research was to assess and compare the clinical and radio-logical success rate of Aloe-vera and Formocresol pulpotomy in deciduous molars. Methodology: This randomized control trial included sixty deciduous molars requiring pulpotomy. Random allocation was done to two groups with thirty teeth in each group. Comparative evaluation of the clinical and radiological success rate of Aloe-vera and Formocresol pulpotomies were assessed for a duration of 6-months. Results: Chi-square test was employed to differentiate the results in two groups. The results showed satisfactory clinical and radiological success rates in both groups. The differences were not significant at 1-month, 3-months and 6-months follow up visits among the groups, with a P-value of 0.38 (P <0.05). Conclusion: Aloe-vera can be successfully used in deciduous teeth for pulpotomy
Comparative Evaluation of Effect of herbal antioxidants on the shear bond strength of composite resin to enamel following vital teeth bleaching: An In Vitro Study
Authors: Joseph Merlin Ann , Jayalakshmi KB Sujatha I, , Nadig Prasannalatha , Shetty Shibani
Published: July 2022

Aim: This study aimed to determine the effect of 2% Olive leaf extract and 2% green tea extract on the shear bond strength of composite resin to enamel following vital teeth bleaching using 40% hydrogen peroxide. Methodology: The study used thirty extracted human upper central incisors. Samples were randomly categorized into 3 groups (n=10). Group I- Control- composite was build-up right after bleaching, Group II - Bleaching with 40% H2 O2 and 2% Olive leaf extract treatment followed by composite build-up, Group IIIBleaching with 40% H2 O2 and 2% green tea extract treatment followed by composite build-up. The specimens’ shear bond strength was assessed using Universal Testing Machine. One-way ANOVA test followed by Tukey’s Post-hoc test was used to assess the mean shear bond strength among the study groups. Results: Mean shear bond strength of the 2% Olive leaf extract group was 201.70, 2% Green tea extract was 123.40, and the control group was 42.20. This mean difference in shear bond strength among the groups was statistically significant at P=0.003. Conclusion: Within the constraints of the research, it can be inferred that 2% Olive leaf extract and green tea extract can be used to reverse the effect of bleaching on the bond strength of composite resin to the enamel.
Herngt ‘Aki’ Preserve Vegetation Mapping
Authors:   , Pastor Arturo
Published: July 2022

The Redlands Conservancy is a non-profit organization that has a limited budget and is comprised of mostly volunteers. The Redlands Conservancy’s Herngt ‘Aki’ Preserve has seen the deterioration of native vegetation species over the years. A major goal of the Redlands Conservancy is to restore and preserve the native vegetation found at the Herngt ‘Aki’ Preserve. To better address restoration, the Redlands Conservancy requested a web application of a map with data on vegetation classifications along with vegetation health indicators of the Herngt ‘Aki’ Preserve. This data was developed using remote sensing technology of aerial imagery. It was discovered that approximately 24% of the land cover in the Herngt ‘Aki’ Preserve consists of native vegetation. The remaining 76% of the land cover includes non-native vegetation and non-vegetation entities. The vegetation health data serves as an overlay with the vegetation classification data to analyze the health of specific vegetation entities. The creation of the web application provides a platform for the Redlands Conservancy to use in and out of the field for planning future restoration projects based on the data that was developed in this project.
Sistem Deteksi Plat Kendaraan pada Parkiran Rumah Pribadi dengan Metode Background Subtraction dan Optical Character Recognition
Authors: Hamdani Achmad Wikan , Prapanca Aditya
Published: July 2022

Sistem deteksi objek adalah untuk mendeteksi dan melacak secara otomatis objek yang menarik dari layar video dan kemudian memperoleh informasi yang dibutuhkan oleh pengguna. Metode yang digunakan yaitu metode background subtraction dan optical character recognition, yang dapat mendeteksi dan mengidentifikasi plat kendaraan pada parkiran rumah pribadi, dikarenakan minimnya pengawasan parkiran rumah pribadi pada kebanyakan rumah saat ini, untuk itu sistem ini diharapkan dapat membantu untuk memantau sebagai sistem monitoring terhadap hal – hal yang tidak diinginkan contohnya pencurian kendaraan. Metode background subtraction menggunakan latar belakang untuk mendeteksi objek bergerak, bahkan jika objek bergerak berhenti bergerak untuk sementara , itu masih dapat dideteksi dengan latar depan yang baik efek deteksi, sehingga memungkinkan penerapan metode ini di berbagai sistem pemantauan. Optical character recognition (OCR) adalah metode yang digunakan untuk menkonversi dari gambar ke teks yang dipindai atau dicetak. Pengujian menggunakan 4 video sampel dengan perbedaan waktu yaitu pada siang dan sore hari, dapat ditunjukkan pada hasil dari pengenalan tiap karakter pada plat kendaraan menggunakan metode OCR. Pengujian pada siang hari menggunakan kualitas video 480p didapatkan nilai akurasi sebesar 62,85%, untuk kualitas 720p sebesar 68,57%, dan untuk kualitas 1080p sebesar 82,85%. Sedangkan pada sore hari dengan kualitas video 480p didapatkan nilai akurasi sebesar 48,57%, Kualitas 720p sebesar 54,28%, dan 1080p sebesar 68,67%. kualitas video menentukan besarnya tingkat akurasi pengenalan karakter pada plat kendaraan, namun perbedaan tingkat kecerahan video sangat menentukan tingkat akurasi dari pengenalan karakter pada plat kendaraan tersebut dengan menggunakan metode optical character recognition (OCR).
Implementasi Augmented Reality Marker Based Tracking pada Aplikasi Interaktif Pengenalan Alat Musik Tradisional Bonang Jawa Berbasis Android
Authors: Masrura Ayyu Faridhatul , Anistyasari Yeni
Published: July 2022

Era Globalisasi yang kian masif membawa perkembangan teknologi yang semakin pesat. Secara bersamaan, eksistensi kebudayaan tradisional mulai pudar di tengah semarak globalisasi yang menggaungkan revolusi di berbagai sektor. Terutama budaya kesenian musik Karawitan Jawa dengan salah satu alat musik khasnya yang dikenal luas sebagai Bonang Jawa. Alat musik tradisional Idiophone dengan tingkat kesulitan yang cukup tinggi, namun mampu melengkapi harmonisasi alat musik lainnya. Keberadaannya mulai sulit dijumpai karena minimnya upaya pelestarian oleh masyarakat. Melalui kolaborasi teknologi modern, Bonang Jawa dapat dipertahankan eksistensinya dan akan lebih mudah ditemui masyarakat. Teknologi Augmented Reality dengan metode Marker Based Tracking menjadi pilihan yang tepat guna memvisualisasikan Bonang Jawa secara virtual untuk ditampilkan diatas dunia nyata melalui proses pemindaian terhadap marker yang ditentukan. Kemudian dikemas dalam aplikasi berbasis Android untuk menjangkau berbagai lapisan masyarakat. Dengan menerapkan metode pengembangan Prototyping, proses diawali dengan observasi kebutuhan yang perlu disematkan dalam aplikasi, kemudian aplikasi akan dikembangkan dan dirilis berupa mock-up untuk diuji oleh sebagian pengguna. Metode ini dipilih untuk meningkatkan efisiensi komunikasi dengan pengguna dalam memperoleh feedback terkait aplikasi. Setelah melalui rangkaian pengembangan dan pengujian, diperoleh hasil bahwa metode prototyping meningkatkan efisiensi waktu pengembangan dan komunikasi dengan pengguna. Marker yang disematkan pun juga menambah nilai edukatif. Dalam uji ANAVA dengan model desain faktorial (3 faktor), aplikasi dapat bekerja secara optimal dengan beberapa kombinasi perlakuan. Jajak pendapat melalui kuesioner dilakukan terhadap sejumlah responden dengan persentase kelayakan sebesar 80,22% yang mana aplikasi berkategori Layak.
Implementasi Rancang Bangun Manajemen Aset Berbasis Website di PT Petrokimia Gresik
Authors: Ardiyanto Danang , Prismana IGL Putra Eka
Published: July 2022

Setiap perusahaan memiliki permasalahan dalam pengelolaan barang seperti seringnya barang hilang setelah dipinjam membuat perusahaan PT Petrokimia Gresik menambah biaya untuk pengadaan penggantian barang. Upaya yang dilakukan untuk meminimalisir terjadinya permasalahan tersebut maka sangat diperlukan untuk membuat catatan peminjaman barang berbasis web. Tujuan penelitian ini untuk mengembangkan  manajemen aset berbasis website, penelitian ini juga melihat efektifitas website pengelolaan barang di PT Petrokimia Gresik. Metodologi penelitian ini menggunakan R&D (Research and Development) dengan metode agile berjenis xtreme progaming dengan menggunakan framework laravel. Teknik pengumpulan data menggunakan survey. Teknik pengambilan sampel menggunakan probability sampling dengan sample purposive sampling dengan pemberian skor menggunakan skala likert. Hasil uji validitas dari para ahli menunjukkan nilai rata-rata sebesar 87% dengan kategori sangat baik, maka sebagaimana dasar pengambilan keputusan dalam uji reliabilitas bahwa semua item variabel adalah konsisten atau reliabel. Hasil uji Product Moment pada semua item pernyataan memiliki besaran nilai pada r hitung> r tabel dan nilai sign. > 0,05 maka semua item dapat dinyatakan valid sehingga website layak digunakan. Kesimpulannya bahwa manajemen aset berbasis website ini memiliki efektifitas dalam pengelolaan barang di PT Petrokimia Gresik.

 

Kata Kunci - manajemen asset, website, PT Petrokimia Gresik, Agile, XP
Penerapan Clean Architecture pada Aplikasi Pemesanan Makanan menggunakan Metode Slope One Algorithm
Authors: Badrudduja Moh. Hilmy , Putra Ricky Eka
Published: July 2022

Abstrak – Aplikasi Pemesanan Makanan merupakan suatu terobosan teknologi yang dibuat supaya masyarakat pengguna Android dapat membeli makanan kapanpun dan dimanapun. Mengkonsumsi Makanan yang bernutrisi sangatlah dibutuhkan oleh tubuh terutama pada masa COVID-19 seperti saat ini. Oleh karena itu, masyarakat membutuhkan sebuah aplikasi yang didalamnya terdapat rekomendasi makanan sesuai nutrisi yang terkandung sehingga dapat menciptakan pola makan yang sehat dan dapat mencegah risiko beberapa penyakit. Aplikasi ini dibuat menggunakan kualitas kode yang maintainability dengan menerapkan prinsip Clean Architecture. Pengujian pada penelitian ini dilakukan dengan membandingkan antara aplikasi yang menerapkan prinsip Clean Architecture dengan aplikasi yang menerapkan arsitektur Model-View-Controller (MVC). Hasil pengujian membuktikan bahwa penerapan prinsip Clean Architecture mempunyai tingkat maintainability lebih besar daripada penerapan arsitektur MVC yaitu 78.2% dibanding 54.8%, dimana 78.2% dapat dikatakan maintainability karena mendapatkan nilai lebih dari 67%. Selain itu, penelitian ini juga melakukan pengujian Metode Slope One Algorithm untuk mengetahui rekomendasi makanan yang baik untuk beberapa kondisi kesehatan (seperti sehat, diabetes, jantung, kelelahan, obesitas, dan sembelit) menjadi tiga kategori makanan berdasarkan keadaan gizi menurut Indeks Antropometri, yaitu Buruk dikonsumsi apabila 𝑝𝑆𝐼 ≤ 2.4, Kurang baik dikonsumsi apabila 2.4 < 𝑝𝑆𝐼 ≤ 3.2, dan Baik dikonsumsi apabila 𝑝𝑆𝐼 > 3.2. Berdasarkan hasil pengujian Metode Slope One Algorithm, terdapat beberapa menu makanan yang sebaiknya dihindari oleh kondisi Kesehatan tertentu contohnya pada menu Nasi Goreng Seafood dan Mie Goreng Seafood yang mempunyai kategori Buruk dikonsumsi oleh seseorang yang mengalami Kelelahan karena mendapatkan nilai 𝑝𝑆𝐼 sebesar 1.375 atau kurang dari 2.4.

 

Kata Kunci – Rekomendasi Makanan, Maintainability, Clean Architecture, MVC, Slope One Algorithm
Auto Response Messages pada Telegram Bot untuk Pelayanan Sistem Informasi Praktek Industri dan Skripsi dengan Metode Webhook
Authors: Syah Aji Ridwan , Prihanto Agus
Published: July 2022

Praktik industri (PI) dan Skripsi merupakan salah satu mata kuliah yang dijalani oleh mahasiswa Teknik Informatika Unesa. PI dan skripsi memiliki beberapa dokumen yang perlu dibuat dan didaftarkan agar mata kuliah bisa diselesaikan, namun saat ini tidak adanya media utama yang memberikan informasi ataupun dokumen yang berkaitan dengan mata kuliah tersebut membuat beberapa mahasiswa sedikit kesulitan untuk mencari informasi terkait. Biasanya mahasiswa mencari informasi terkait PI dan skripsi melalui kakak tingkat yang sudah pernah melaksanakan mata kuliah tersebut. Penelitian ini bertujuan untuk membangun sebuah sistem pesan otomatis (auto response messages) menggunakan telegram bot yang akan dijadikan sebagai aplikasi pesan utama dengan menggunakan metode webhook yang berfungsi sebagai penyambung antara server telegram dan server bot yang nantinya akan membuat bot mampu berjalan secara otomatis dalam waktu 24 jam penuh. File dokumen pendukung PI dan skripsi dijadikan satu oleh peneliti dalam sebuah folder pada google drive yang nantinya akan diambil link nya untuk dimasukkan kedalam kode untuk dipanggil saat pengguna memilih menu mata kuliah yang dibuat. Lalu penggunaan model seperti classification dan similarity word juga akan diadaptasikan terhadap bot. Hasil pengujian menunjukkan bahwa pengaplikasian sistem pesan otomatis (auto response messages) melalui bot telegram sudah berhasil dibuat menggunakan metode webhook  dan hasil simulasi menjukkan bahwa bot yang telah dibuat mampu memberikan respon secara otomatis dalam mencari dokumen terkait mata kuliah praktik industri dan skripsi dikarenakan metode webhook yang sudah berhasil dicek dan diset pada server. File dokumen yang dibutuhkan sudah diorganisir menjadi beberapa folder yang sudah diberi nama sesuai pada google drive. Bot juga mampu digunakan oleh beberapa perangkat sekaligus tanpa mengalami delay ataupun crash pada server. Model yang digunakan seperti classification dan similarity word pun mampu diterapkan dengan baik pada bot.
Penggunaan QR code Berbasis Kriptografi Menggunakan Algoritma Elliptic Curve Criptography
Authors: Pratiwi Julieta Adhellia , Asmunin Asmunin
Published: July 2022

Media digital dan internet banyak dimanfaatkan semua orang untuk mengirim informasi pada saat pandemi seperti ini Media digital menjadi sarana menyebarkan informasi dengan bebas. Beberapa informasi berupa URL (Unifrom Resource Locator) yang dibagikan. Namun dengan membagikan URL tersebut ke orang yang kita kehendaki sangat tidak aman saat diperjalanan. Sehingga perlu adanya keamanan. Maka kita perlu keamanan yaitu kriptografi. Ada dua jenis algoritma kriptografi yaitu simetris menggunakan dua kunci dan asimetris menggunakan satu kunci. Algoritma yang digunakan yaitu ECC (Elliptic Curve Cryptography). Algoritma ECC Merupakan Enkripsi Asimetris. Enkripsi Asimetris Adalah dua kunci enkripsi berbeda yang secara matematis terkait satu sama lain. Salah satu kunci ini dikenal sebagai public key dan private key. Keuntungan pertama dari jenis enkripsi ini adalah keamanan yang diberikannya. Dalam metode ini, public key yang tersedia untuk umum untuk mengenkripsi data, sedangkan dekripsi data dilakukan menggunakan private key yang harus disimpan dengan aman. Ini memastikan bahwa data tetap terlindungi dari serangan man-in-the-middle (MiTM). Kemudian hasil dari ciphertext  tersebut kita generate menjadi QR code (Quick Response). Cara memindai QR code dapat dilakukan dengan mudah. Caranya dengan scan QR code tersebut ke aplikasi kemudian diproses menjadi tautan halaman atau dokumen berupa ciphertext. Algoritma ECC memiliki kinerja waktu yang berbeda dengan masukan karakter yang panjangnya yang tidak sama.
Trascender al derecho del trabajo : comprender el contrato de trabajo, que mantiene separados los elementos que une
Authors: Treviño Pascual Mariano
Published: July 2022

Esta investigación está precedida y se apoya por numerosas publicaciones preparatorias o adyacentes que implican la estructuración dogmática del mundo del hombre. Proponemos una estructura de sentido cuya singularidad está en que los lados opuestos, son puestos en relación, para que los fines no se disuelvan en objeto de síntesis, sino de coincidencia y que resumiré así: por un lado, la doctrina, los principios, la opinión; por otro, la decisión, el decreto, la sentencia...
Enfermedades Respiratorias más frecuentes en la pediatría
Authors: Pincay Pin Virginia Esmeralda , Bernal Gutiérrez Leónidas Miguel , Saldarriaga Veliz Zoila Lissette , López Baque Arianna Cristhel , Parrales Choez Ana Joselyn , Vélez Vite Johana Lourdes , Pincay Reyes Yomaira Estefanía , Cárdenas Santos Karen Ximena , Cárdenas Santos Viviana Alexandra , Delgado Zambrano Dolores María
Published: July 2022

No es posible escribir un libro acerca de las infecciones respiratorias, los niños y la pediatría sin tomar en cuenta que desde marzo de 2020 fue declarada por los organismos competentes de salud a nivel internacional la pandemia por Covid-19, la enfermedad causada por el nuevo coronavirus conocido como SARS-CoV-2 (1). Durante las primeras etapas de desarrollo y expansión de este fenómeno de salud pública que ha afectado prácticamente a todos los países. De hecho, para el momento que se escribe este prólogo la cantidad de casos positivos registrados por la Organización Mundial de la Salud (OMS) supera ampliamente los 234 millones y medio, y, quizás en muy corto plazo, supere los 235 millones de personas que han sido reportados como contagiados por esta dura enfermedad, mientras que los fallecidos lamentablemente están muy cerca de los 5 millones de seres humanos.
Prediction of the Factors Affecting PISA Mathematics Literacy of Students from Different Countries by Using Data Mining Methods
Authors: Aksu Nurşah , Aksu Gökhan , Saracaloğlu Seda
Published: July 2022

The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that affect their mathematics literacy levels were analyzed separately for 6 different countries at different proficiency levels. The population of the research is 519334 students from 72 countries, who have taken PISA 2015 exam. The sample that was determined according to the purpose of the study consists of a total of 34,565 students from Singapore, Japan, Norway, the USA, Turkey, and the Dominican Republic, which have been observed to be at different proficiency levels. In the first stage of the study, analyzes were performed using data mining prediction methods. At this stage, WEKA program was employed and M5P algorithm, which is one of the most common methods, was used. In the second stage of the research, the output variable was predicted from the input variables using Artificial Neural Networks methods to determine the extent to which decision trees obtained by M5P prediction method produce valid results. In the analyzes carried out in MATLAB program, the relationship between students' actual math literacy scores and literacy scores predicted from input variables was examined. As a result of the study, the variables that affect mathematics literacy were found to be the socio-economic status index for Singapore, Norway, the United States, Turkey, and Dominic. On the other hand, the variables influencing mathematics literacy for Japan were found to be mathematics learning time and father's education level. The consistency of the results was as follows: 86.10% for Singapore, 40.26% for Japan, 30.10% for Norway, 39.15% for America, 26.43% for Turkey, and 29.24 % for Dominic. As a result of the study, a differentiation was found among the variables that affect mathematics literacy of the countries at different proficiency levels.
Lining forces in tunnel interaction problems
Authors: Pedro António , Grazina José , Almeida e Sousa Jorge
Published: July 2022

In big cities the construction of new tunnels in close proximity to existing ones is unavoidable given the densely and growing occupation of the subsoil. The interaction between tunnels in such conditions is well identified in the literature and has been thoroughly investigated in the past. However, most of those studies are focused on the effect of the ground conditions and relative position between tunnels on the ground movements and often disregard the impact induced by the second excavation on the lining forces of both tunnels. To provide further insight into this subject a numerical study of the sequential excavation of side-by-side twin tunnels is presented in this paper. The study also assesses the influence of parameters that have not been covered in the previous studies, namely the stiffness of the lining and the initial stress conditions. The results confirm that significant interaction occurs when the tunnels are spaced less than one diameter, where a considerable increase on both hoop forces and bending moments, particularly on the lining of the existing tunnel, is observed after the second excavation. For a spacing higher than two diameters the interaction between tunnels is almost negligible. The magnitude of the lining forces and of the interaction effects are also dependent of the stiffness of the linings and of the initial stress conditions.
Estimative of shaft and tip bearing capacities of single piles using multilayer perceptrons
Authors: Amâncio Luciana , Dantas Neto Silvrano , Cunha Renato
Published: July 2022

There are an increasing number of studies that use the artificial neural networks (ANN) as a prediction tool in the field of foundations with satisfactory results. In this paper, multilayer perceptrons are used to develop prediction models for the shaft and tip bearing capacities of single piles based on a supervised training using the error back propagation algorithm. Results from static load tests carried out on 95 instrumented single piles executed in different regions of Brazil were used in the ANN modelling. The prediction models of shaft and tip bearing capacities of single piles were obtained portraying indicated in the validation phase determination coefficients equal to 95% and 99%, respectively. To demonstrate their applicability and efficiency, such models were used to estimate the bearing capacity of single piles unused in the models’ development, as well as groups of two and three piles. The results demonstrated that the neuron models were much closer to the values of the bearing capacities measured in single pile tests and groups of piles, than the estimated results using semi-empirical methods. As a result of overestimating the predicted bearing capacities in relation to the results of the load tests, it is recommended to use models applying reduction factors of 0.88 for single piles, and 0.75 for groups of up to three piles.
Reaction of sunflower varieties and hybrids to weather conditions and their adaptability parameters
Authors: Lekarev Andrey Vladimirovich , Gudova Lyudmila Aleksandrovna , Polevaya Olga Aleksandrovna , Solopchenko Lidia Valentinovna , Alimova Saniya Kasymovna
Published: July 2022

In regions with contrasting weather conditions, which include the Saratov region, it is necessary to conduct selection and evaluate breeding material not only in terms of productivity, but also in terms of adaptability to abiotic environmental factors. The experimental part was carried out on the experimental field of the Federal Agricultural Research Center for South-East Region in 2015–2021. There were 10 genotypes in the study, which were evaluated by the ability to form the highest productivity in different years in terms of moisture and heat supply. The HTC in the years of research was as follows: 2015 - 0.61, 2016 - 0.47, 2017 - 0.95, 2018 - 0.52, 2019 - 0.6, 2020 - 0.83, 2021 - 0.58. The coefficient of variation, stress resistance and genetic flexibility, the drought resistance index, and the coefficient of responsiveness to favorable growing conditions were indicators of adaptability. According to long-term data, the average yield of oilseeds of the studied varieties and hybrids varied from 1.98 to 2.54 t/ha. In some years, the yield of varieties Saratovskiy 20, Stepnoy 81, Stepnoy 82, Lyubimchik and hybrid YuVS 7 exceeded 3.0 t/ha. In 9 out of 10 varieties and hybrids, a high variability of the trait is noted (V = 21.7-33.1%). The average yield variability was found in the UVS 3 hybrid (V = 19.1%). Varieties Stepnoy 81, Lyubimchik are characterized by high genetic flexibility ((Ymin + Ymax)/2 = 2.50 and 2.75, respectively) and responsiveness to favorable environmental conditions (Kp = 2.52 and 2.23, respectively). The hybrid YuVS 3 is characterized by high stress resistance (Ymin + Ymax = -1.15) and drought resistance (DSI = 0.92). High genetic flexibility ((Ymin + Ymax)/2 = 2.45) and drought resistance (DSI = 0.98) had  SVS 7. It is advisable to include varieties and hybrids with high adaptive properties in the further breeding process as initial material.
Analysis of dangerous factors in the life cycle of semi-finished products based on poultry broilers meat with the addition of soy flour
Authors: Amanova Sholpan Saparovna , Tungyshbaeva Ulbala Oblbekovna , Tattibaeva Damira Bakhtiyarovna , Iztelieva Raushan Akmuratovna , Azimova Sanavar Tuglukovna
Published: July 2022

For the effective development of poultry farming in Kazakhstan, it is necessary to overcome a number of constraining factors, one of which is the insufficient modern safety control system throughout the poultry meat production chain. The article develops a flowchart of the semi-finished product production process based on poultry meat-broiler with soy flour, examines possible risks (hazards) for the development of management measures in the production of semi-finished products, identifies three control critical points for the production of semi-finished products from broiler meat with soy flour.
Improved methods of cultivating dining beet in arid conditions of Northwest Caspian Sea
Authors: Bondarenko Anastasia Nikolaevna , Kostyrenko Oksana Vladimirovna
Published: July 2022

For the first time, in the conditions of light chestnut soil of the Astrakhan region, a study was conducted on the influence of extracorneal treatments with modern growth stimulating drugs aimed at increasing the yield of the studied crop during drip irrigation. A field experiment on the cultivation of various varieties and hybrids of table beets, carried out at the experimental irrigated area of ? ? the Federal State Budgetary Scientific Institution "PAFNC RAS" during 2019-2021. showed that the largest commercial yield of 66.9 tons/ha was obtained on the option using extrabort treatment with Aminovit fertilizer. Net income per 1 hectares under this option was 644.9 thousand rubles, the profitability of production of 1 ton of products amounted to 179.8%.
The results of field studies of harvesting technical hemp by various technologies
Authors: Popov Roman Andreevich , Bakulova Irina Vladimirovna
Published: July 2022

Technical hemp is cultivated for seeds, fiber and for two-way use, so various technologies are used for harvesting it. In 2019-2021, field studies of hemp harvesting technologies in real conditions of agricultural enterprises in different climatic zones of Russia were carried out, the results of a comparative analysis were presented. It has been established that different types of machines are used for harvesting technical hemp, differing in design and principle of collecting plants. It was revealed that the use of general-purpose harvesting equipment ensures the production of high-quality bast raw materials and seeds, but the technology has its drawbacks. Based on the results of the research, possible ways to increase the efficiency of the hemp harvesting and reduce the costs of subsequent technological operations are proposed.
Optimization of fire safety measures at the agribusiness protection facility with a mass stay of people
Authors: Savelyev Anatoly Petrovich , Shkrabak Vladimir Stepanovich , Shkrabak Roman Vladimirovich , Chugunov Mikhail Nikolaevich , Glotov Sergey Viktorovich , Enaleeva Svetlana Anatolievna , Povernova Natalia Evgenievna
Published: July 2022

This article is a logical continuation of previously published materials on the topic “Analysis of fire safety at the objects of protection of the agro-industrial complex with a mass stay of people”. The conducted studies have established that a necessary condition for ensuring fire safety is the fulfillment of the fire safety requirements provided for by the technical regulations adopted in accordance with the Federal Law "On Technical Regulation", and sufficient - so that, moreover, the fire risk does not exceed acceptable values.
Obtaining cherry seedlings of the Ashinskaya variety by green cutting
Authors: Vasiliev Alexander Anatolievich , Galimov Vadim Rafailovich
Published: July 2022

The article discusses the features of growing cherry seedlings of the Ashinskaya variety by the method of green cuttings in the conditions of the Chelyabinsk region. The objective of the research was to study the effect of the length of green cuttings on the yield of marketable seedlings. The technology of green cuttings was carried out in the period 2015-2018 under controlled conditions in a polycarbonate greenhouse. It was found that when using green cuttings 20, 30 and 40 cm long, the rooting rate of cherries increases by 12.1-27.3%, the diameter of the conditional root collar of seedlings increases by 14.8-44.4%, and the yield of marketable seedlings increases by 1.50-4.68 times compared with control (15 cm). It has been proven that the optimal length of cuttings when propagating cherry varieties Ashinskaya using the green cuttings method is 40 cm. This option allows you to get from 71.3 to 81.7 pieces of standard seedlings from one square meter of protected ground in one season.
An effective method for determining the maturity of honey
Authors: Salautina Svetlana Evgenievna , Stupina Lyudmila Viktorovna , Salautin Vladimir Vasilyevich
Published: July 2022

When determining the maturity of honey, in laboratory veterinary practice, one of the most objective and reliable is the weighted drop method. This method is quite convenient, quickly feasible, and in addition, does not require special equipment and expensive reagents. This makes it possible to recommend it for wide implementation in the practice of veterinary and sanitary examination laboratories of the markets. Mature honey can be stored for quite a long time, and its water content should be below 20%. The results of our research showed that the average water content in honey obtained in different apiaries of the Saratov region averaged 19.3%, with a fluctuation from 16.5 to 21.6%. If the honey contains more than 22% water, it can be concluded that the honey was pumped out immature.
Risks of strong atmospheric drought in the territory of Saratov region under conditions of modern climate change
Authors: Zavyalova Elena Vladimirovna , Demakina Irina Igorevna
Published: July 2022

This article provides a comparative characteristic of the probability of severe and very strong droughts in certain segments of the growing season for 1971–2000 and 2001–2020 on natural zones of the Saratov region. The initial material was climatic data from meteorological stations in the Saratov region. Yield data were taken from statistical compilations. The study found that the frequency of severe droughts with GTC?0,5 in 2001–2020 increased in comparison with 1971–2000 during the growing season of cereals (May-July) by 13% in semi-desert areas. During the autumn growing season of winter crops (August-September), the risks of such droughts increased throughout the region by 15–26%. In general, during the warm period (May-September), the frequency of severe droughts increased markedly in dry-steppe and semi-desert regions (by 16 and 23%, respectively). The risks of very severe droughts with GTC <0,4 during the growing season of grain crops (May-July) increased by 14% in semi-arid regions. During the autumn growing season of winter crops (August-September), the risks of such droughts increased throughout the region by 9–24%. In general, during the warm period (May-September), the frequency of very severe droughts increased in the forest-steppe and semi-desert regions (by 5 and 10%, respectively). Also, the article provides meteorological characteristics of the most severe droughts of the last half century and an assessment of the risks of a grain yield shortfall for winter and spring wheat in the region as a whole. The expediency of taking the necessary measures to reduce damage in advance is shown.
Evaluation of therapeutic and prophylactic use of the drug anticoccidial "Сoсcimax" and feed additives "Mintov" and "NitaminOR Active" in experimental coccidiosis of chickens
Authors: Fedorov Ivan Aleksandrovich , Larionov Sergey Vasilievich
Published: July 2022

The article presents the evaluation of curative and preventive efficacy of the anticoccidial drug "Coccimax" in a joint application of the feed additive "Mintov" and "NitaminOR Active", in experimental coccidiosis of chickens. For this purpose, the morphological and biochemical parameters of the blood of broiler chickens were analyzed. Based on the work done, it was concluded that with the development of chicken eimeriosis, there is a negative effect on the liver of birds, expressed by an increase in the activity of aspartate aminotransferase. However, the drug "Coccimax", both when mono used, and when combined with feed additives "Mintov" and "NitaminOR Active", contributes to the normalization of this indicator in comparison with the control group.
Influence of air convection inside a double-glazed window on heat loss through window structures
Authors: Aksenov Andrey Konstantinovich , Kotskiy Ivan Konstantinovich
Published: July 2022

In the article, a physical and mathematical model of the convective movement of air layers between the panes of a double-glazed window has been developed. The conducted studies and analysis of thermohydrodynamic processes in a window pane made it possible to obtain dependencies for choosing the optimal distance between panes and, if necessary, to make a choice between single-chamber or multi-chamber window panes for glazing agricultural buildings. Experimental studies of the temperature regime of window panes in natural conditions are presented, as well as using a special heat chamber. The obtained calculated dependencies can be used in the selection and design of the design of energy-efficient light openings for both agricultural production facilities and residential buildings.
IBC Tracer: Web-Based Application for Online Tracing the Spread of Covid-19 in Indonesia Using BFS Algorithm
Authors: Pratama I Putu Agus Eka
Published: July 2022

In the case of handling the Covid-19 pandemic in Indonesia, there is a 3T (Testing, Tracing, Treatment) movement promoted by the government to reduce the impact of the spread and transmission of Covid-19. For tracing, there are currently no Information Technology-based applications or services that can assist the public in simulating the tracing of the spread of Covid-19 from one location to another location and providing disaster mitigation education to users through suggestions provided by the application after the tracking process. For this reason, this study was designed and implemented using a web-based Artificial Intelligence (Breadth-First Search) algorithm called Indonesia BFS Covid-19 (IBC). This research uses Design Science Research Methodology (DSRM) and tested using BlackBox Testing. From the testing results, it is concluded that the application can simulate the process of tracing the spread of Covid-19 in Indonesia well based on the starting point and destination, and users can gain an understanding of disaster mitigation education from the advice given by the post-tracing application, as part of 3T, to help decide the impact of the spread of Covid-19 in Indonesia.
Mi-Botway: a Deep Learning-based Intelligent University Enquiries Chatbot
Authors: Windiatmoko Yurio , Hidayatullah Ahmad Fathan , Fudholi Dhomas Hatta , Rahmadi Ridho
Published: July 2022

Intelligent systems for universities that are powered by artificial intelligence have been developed on a large scale to help people with various tasks. The chatbot concept is nothing new in today's society, which is developing with the latest technology. Students or prospective students often need actual information, such as asking customer service about the university, especially during the current pandemic, when it is difficult to hold a personal meeting in person. Chatbots utilized functionally as lecture schedule information, student grades information, also with some additional features for Muslim prayer schedules and weather forecast information. This conversation bot was developed with a deep learning model adopted by an artificial intelligence model that replicates human intelligence with a specific training scheme. The deep learning implemented is based on RNN which has a special memory storage scheme for deep learning models, in particular in this conversation bot using GRU which is integrated into RASA chatbot framework. GRU is also known as Gated Recurrent Unit, which effectively stores a portion of the memory that is needed, but removes the part that is not necessary. This chatbot is represented by a web application platform created by React JavaScript, and has 0.99 Average Precision Score.
iLearning Model Approach in Creating Blockchain Based Higher Education Trust
Authors: Anwar Aang Solahudin , Rahardja Untung , Prawiyogi Anggy Giri , Santoso Nuke Puji Lestari , Maulana Sabda
Published: July 2022

Today, higher education presents challenges in terms of educational and industrial collaboration. Both theoretical and practical, formal and informal are also part of the application of blockchain in education. Moreover, the assessment is still quite difficult to do to measure the skill level of students so that they can compete for jobs in the future With the problem of the academic curriculum that still uses writing media on paper, problems often arise regarding the validity of reliable document validation. So it is necessary to compare the knowledge obtained to match their abilities. From these problems, the goal was created to improve the higher education curriculum in order to find a revolutionary solution for document validation beliefs.  Evaluation of the iLearning learning system combined with blockchain technology (ledger) has the benefit of being able to support these problems.  By using Blockchain technology, a new learning model innovation is created in the form of the SCi-B (Student-Centered iLearning Blockchain) framework. SCi-B is a new innovation in the learning model where all activities use Blockchain so that its existence is able to manage and store all transactions, competencies, and teaching that can provide intensive assessments through digital certificates for the academic world and the world of work. So that SCi-B has a significant impact on the confidence in the results that have been obtained.  This paper aims to answer the challenges of the world of education which is currently getting wider, more open, and everywhere. The model in the SCi-B framework of this paper can be used for all training institutions because this model can adapt to the specific professional needs of the job sector. This model has been validated by the existence of a web application whose use is very satisfying.
The Role Career Development, Organizational Citizenship Behavior and Leadership on Teacher Performance: An Empirical Study on Elementary School in Bandung
Authors: Arifin Yusuf
Published: July 2022

This study aims to analyze the relationship of career development, organizational citizenship behavior and leadership to the Head of elementary school performance. This research method is quantitative with data processing tools using SPSS software. Data was obtained through the distribution of online questionnaires to 212 elementary school teachers in Tangerang who were selected using the simple random sampling method. Based on data analysis, it can be concluded that career development has a positive effect on teacher performance, organizational citizenship behavior has a positive effect on teacher performance, leadership has a positive effect on teacher performance and career development, organizational citizenship behavior and leadership simultaneously have a positive and significant effect on teacher performance.
Explicit Equations for Estimating Resistance to Flow in Open Channel with Moveable Bed Based on Artificial Neural Networks Procedure
Authors: Cahyono Muhammad -
Published: July 2022

The resistance to flow in an open channel is associated with the value of the Darcy-Weisbach friction factor f. For natural channels with a movable bed, the f value depends on the grain size of the bed materials and the bedforms, such as ripple, dune, or anti-dune. The total resistance to flow is the sum of the resistance due to grain roughness and bedform. Several researchers have proposed several graphs to determine the friction factor value due to the bedforms. Still, using these graphs requires graphical interpolation, which is inconvenient and difficult to apply to the flow and sediment transport calculation. This study proposes two explicit equations, ANN models 1 and 2, to compute the friction factor due to the bedform based on artificial neural networks (ANN) procedure. The data used to build the equations were obtained by digitizing the graph proposed by Alan and Kennedy. The explicit ANN equations are in the form of a series of hyperbolic tangent functions. The resulting equations can predict the friction factor value due to bedform satisfactorily.
The Role of Entrepreneur Characteristics and Entrepreneur Motivation has a significant effect on SMEs' Business Performance During Digital Era
Authors: Erlangga Heri , Purwanti Yanti , Setiawati Tita , Hindarsah Ida , Riadi Farid
Published: July 2022

The purpose of this study was to analyze the relationship between Entrepreneur Characteristics and Business Performance variables, the relationship between entrepreneurial motivation variables and MSME business performance. In this study using quantitative methods. This is because the research data is in the form of numbers and analysis uses statistics, in collecting data using research instruments, data analysis is quantitative, with the aim of testing the established hypothesis, is experimental/survey, if the problem is clear. This type of research uses associative research. serves to explain, predict and control a symptom. This method is used to answer the formulation of the problem, namely knowing the effect of entrepreneurial characteristics and motivation on SMEs business performance. In this study, researchers used a questionnaire data collection technique (questionnaire). Questionnaire is a data collection technique which is done by giving a set of questions or written statements to respondents to answer. The statement questionnaire in this study was measured using a Likert 5 scale. The data analysis of this study used the smartPLS 4.0 software (Purwanto et al., 2020) and the data was obtained through the distribution of online questionnaires with social media to 300 respondents who were selected using a simple random sampling method. Based on the results of data processing and analysis that has been done, the conclusions of this study are: 1. Entrepreneurial Characteristics Affect Business Performance. In this case the characteristics of entrepreneurs are very good. Entrepreneurial characteristics can be seen from the spirit of work and hard work to realize desires. 2. Entrepreneur motivation influences business performance. In this case the motivation of entrepreneurs is very high. Entrepreneur motivation can be seen from being an entrepreneur because he has a desire to be rich. The business performance variable is also very high. This is evident from my business has the ability to compete.
Framework Authentication e-document using Blockchain Technology on the Government system
Authors: Meirobie Isyak , Irawan Agustinus Purna , Sukmana Husni Teja , Lazirkha Diana Putri , Santoso Nuke Puji Lestari
Published: July 2022

As a sophisticated platform, namely Blockchain, which has 3 (three) potentials to change the governance system which is still considered traditional, solve the problem of principal agents, and minimize the crime of document falsification. However, in the government sector, the documents used can be insecure and lead to document falsification. Blockchain is becoming increasingly significant in document services and beyond until questions arise about the authenticity and security of manuscripts and documents in the government sector. So, Go-Chain (Government Blockchain) it is necessary to authenticate documents using Blockchain to minimize document forgery. By utilizing the potential of Blockchain technology, this research aims to maximize government e-documents in a modern and secure manner. Propose a Blockchain-based document framework method that is applied with a literature review study—in addition to ensuring the speed of system execution by utilizing DAO (Decentralized Autonomous Organization) and Smart Contracts. The result is that modern and safe government e-documents in document verification can significantly maintain transparency and increase trust in public services.
Face Detection Analysis of Digital Photos Using Mean Filtering Method
Authors: Sunardi Sunardi , Yudhana Anton , Wijaya Setiawan Ardi
Published: July 2022

Face detection in digital photos aims to get the face area in the digital photo. Usually, a lot of noise occurred when detecting faces in digital photos. This study applies the mean filtering method to improve digital photos by reducing noise. The accuracy of the mean filtering method is calculated using a confusion matrix, while the ability of this method is measured using the parameters of Mean Square Error (MSE) and Peak Noise to Signal Ratio (PNSR). Viola-Jones method was used to detect faces in this research. This method was chosen because it is one of the face detection procedures with high accuracy and good computational ability. Testing the mean filtering method obtained the lowest MSE of 9.33, while the highest PNSR of 14.37. The accuracy obtained by the mean filtering method using confusion is 90%. Based on these results, it can be concluded that the mean filtering method is feasible to be used in the case of face detection in digital photos.
Sağlık Hizmetlerinde Performans Değerlendirmede Kullanılan Araç ve Yöntemler
Authors: DELİCE Elif , KARADAYI Melis Almula , TOZAN Hakan
Published: July 2022

Son yıllarda, sağlık sistemlerinde, hastaların artan beklenti ve ihtiyaçları doğrultusunda hızla gelişmekte olan bağımsız ve tarafsız performans değerlendirme kavramı, denetlenebilir, hasta odaklı, hesap verebilirliği fazla olan, verimli, iyileştirilebilir, sürdürülebilir ve erişilebilir sistemler meydana getirebilmek açısından büyük bir önem taşımaktadır. Performans değerlendirme sürecinin ana aktörlerinden biri, belirli performans göstergelerinin tanımlanabileceği ve sağlık sisteminde gereken alanlarda düzenli olarak kullanılabilecek bir yapının sunulması olmakla beraber, bu sürece netlik kazandırmak amacıyla performansın bütünsel bir görünümünü oluşturabilmek için konuyu odak noktası alan araştırmacılar tarafından, sağlık sisteminin çeşitli yapıtaşlarında farklı araç ve yöntemler kullanılarak çalışmalara devam edilmektedir. Sağlık hizmetlerinde performans değerlendirme, her ne kadar zor ve karmaşık bir süreç olsa da sistemin iyileştirilebilmesi-geliştirilebilmesi adına kritik bir önem taşımaktadır. Bu derleme çalışmasında, sağlık alanında 2011-2021 yılları arasında gerçekleştirilen çeşitli performans değerlendirme çalışmalarında kullanılan araç ve yöntemler incelenerek özetlenmiş, çalışmalarda öne çıkan kavramlar sınıflandırılmıştır. Çalışmanın sonucunda literatürdeki eksikliklerin gözlemlenmesiyle, gerçekleştirilen çalışmanın, mevcut literatüre katkı sağlaması amaçlanmıştır.