bluuebunny/crossref_metadata_2025_split huggingface dataset:
The content of flavonoids in various varieties of pears of Kazakhstan selection
Authors: Mailybayeva E. U. , Yerkebayeva S. U. , Tastemirova U. U. , Alibekov R. S. , Shingisov A. U. 
Published: December 2022

Relevance. Fruits and vegetables are an excellent source of substances with antioxidant and healthy properties. Such substances include polyphenols, carotenoids and triterpenoids. Phenolic compounds have strong antioxidant, anti-inflammatory, antiviral and anti-carcinogenic properties. Pear is the main fruit crop of regions with mild climate and have growing cultivation scales. Pear flavonoids contribute to the coloring of fruits, protect them against pathogens and are healthy ingredients of fruits. The purpose of the research is to analyze the content of flavonoids in pears of Kazakhstan selection.Methods. The methods used in the study are as follows: determining solids content (the found value is expressed in units of the mass fraction of sucrose in an aqueous solution of sucrose, which under given conditions has the same refractive index as the analyzed solution, in %) titratable acidity (determination of the mass concentration of titratable acids in terms of malic, tartaric or citric acids (μg/mL) was carried out using potentiometric titration with sodium hydroxide solution to pH = 8.1), total sugars (the permanganate method is based on the ability of sugar carbonyl groups to reduce copper (II) oxide to copper (I) oxide in an alkaline medium), sugar-acid index, ascorbic acid (vitamin C) content, total phenolic compounds content, total flavonoids content.Results. The comparison analyses shows Syilyk and Zhazdyk varieties have the highest values of studied traits,. Specifically, physico-chemical indicators: solids content, total sugars and titratable acidity. Also the best indicators are shown in biological active compounds: sugar-acid index, ascorbic acid (vitamin C) content, total phenolic content and total flavonoids content. The polyphenols content in all pear varieties have high values in the range 107–124 μg/mL. Extracts of Syilyk and Zhazdyk pears have highest values of biologically active substances, and might be recommended for the development of technology in order to obtain concentrates and to enrich the compositions of the food products.
The study of features in sperm and spermatogenesis from males of the genus Ovis with different genotypes
Authors: Iolchiev B. C. , Volkova L. A. , Vetokh A. N. , Volkova N. A. 
Published: December 2022

Relevance. Interspecific hybridization of domestic animals with wild related species is considered as one of the promising directions in animal husbandry in the framework of increasing the genetic biodiversity of the gene pool of agricultural animals. The article presents the results of studies of the reproductive characteristics in animals of the genus Ovis with different genotypes.Methods. The objects of research were purebred sheep of the Romanov breed, mouflon and interspecific hybrids from sheep of the Romanov breed with mouflon. The qualitative and quantitative indicators of the sperm at the age of 9, 12 and 18 months were studied. An assessment of the morphometric parameters of spermatozoa from interspecific hybrids is given in comparison with the original parental species. The testes histological studies of purebred and hybrid animals at the age of 12 months were carried out.Results. Differences in several indicators of sperm production and spermatogenesis in purebred and hybrid animals depending on the genotype were revealed. A decrease in the volume of ejaculate and concentration of spermatozoa in hybrid animals relative to purebred males at the age of 12 and 18 months was established in 3.5, 2.6 times and in 1.6, 2.1 times, respectively (р < 0,01). An increase in the proportion of spermatozoa with abnormal morphology in hybrid animals relative to purebred males in 2.9–3.3 times was revealed (р < 0,01). The obtained data are confirmed by histological studies. There is a decrease in the area and volume of seminiferous tubules in hybrid animals by 9.7% and 37.1%, respectively, compared with similar indicators of purebred males of the Romanov breed (р < 0,01). It was shown that in purebred animals in the lumen of the seminiferous tubule have many mature germ cells — sperm, while in hybrid males the presence of single germ cells was established, which indicates a later puberty of hybrid animals compared to the original maternal form — sheep of the Romanov breed.
Penerapan Learning Vector Quantization 3 Dalam Menentukan Bakat Anak
Authors: Rahman Agung Syaiful , Budianita Elvia , Candra Reski Mai , Syafria Fadhilah 
Published: December 2022

Abstrak - Banyaknya bakat anak yang tidak diketahui oleh sebagian besar Orang tua di Indonesia dikarenakan sedikitnya ahli anak sebagai tempat untuk konsultasi yang menjadi faktor utama dalam perMasalahan ini. Tujuan dari penelitian ini ialah agar para Orang tua dapat mempermudah dalam menggali potensi dalam diri anak mereka masing-masing, yakni dengan menggunakan jaringan saraf tiruan. Ada beberapa metode dalam jaringan saraf tiruan, learning vector quantization 3 merupakan saah satu dari bagian tersebut. Bakat anak yang diambil merupakan bakat anak yang berdasarkan standar United State of Education America. Anak yang diteliti merupakan murid dari Sekolah Dasar Negeri 011 Titian Resak dengan rentang usia 10-12 tahun. Penelitian ini menunjukkan bahwa learning vector quantization 3 membutuhkan sedikitnya 5 kriteria dengan 30 variabel bakat anak sebagai dasar dari penelitian ini. Berdasarkan hasil yang didapatkan, sistem ini berhasil mengidentifikasi bakat anak dengan rentang pembagian 90% data latih dan 10% data uji dan parameter window (0.1,0.2,0.3), epsilon (0.1,0.2,0.3), alpha (0.1) sebesar 81.82%.Kata kunci : Bakat Anak, Learning Vector Quantization 3, Jaringan Saraf Tiruan Abstract - The number of children's taents that are not known by most parents in Indonesia is due to the lack of child experts as a place for consultation which is the main factor in this problem. The purpose of this research is that parents can make it easier to explore the potentia in their respective children, namely by using artificia neura networks. There are severa methods in artificia neura networks, learning vector quantization 3 is one of them. The taent of the child taken is the child's taent based on the standards of the United State of Education America. The children studied were students from the 011 Titian Resak State Elementary School with an age range of 10-12 years. This study shows that learning vector quantization 3 requires at least 5 criteria with 30 variables of children's taents as the basis of this research. Based on the results obtained, this system succeeded in identifying children's taents with a distribution range of 90% of training data and 10% of test data and parameters window (0.1.0.2.0.3), epsilon (0.1.0.2.0.3), apha (0.1) of 81.82% .Keyword : Child Talent, Learning Vector Quantization 3, Artificia Neura Network
Desain UX Aplikasi Layanan Informasi Transportasi Umum Di Pekanbaru Menggunakan Metode Design Thinking
Authors: Annahwa Fina Tamima , Candra Reski Mai , Irsyad Muhammad , Safaat H Nazruddin 
Published: December 2022

Abstrak - Kebutuhan akan transportasi semakin meningkat terbukti dengan banyaknya orang memilih untuk menggunakan transportasi umum. Untuk memenuhi segala pergerakan aktivitas penduduknya Kota Pekanbaru telah mendukung dengan tersedianya fasilitas transportasi umum. Sistem pelayanan transportasi angkutan umum yang tersedia di Kota Pekanbaru cukup beragam diantaranya Trans Metro Pekanbaru (TMP), angkot (Angkutan Kota), bus kota dan lain lain. Namun Sampai saat ini Kota Pekanbaru masih sangat minim dalam penyediaan layanan informasi mengenai transportasi apa yang tersedia serta informasi pariwisata di Kota Pekanbaru. Berdasarkan penelitian yang dilakukan, telah ditemukan berbagai permasalahan yang dialami oleh pengguna kendaraan umum di Pekanbaru. Permasalahan utama yang ditemukan dalam kasus ini adalah kurangnya informasi rinci tentang kendaraan umum yang terdapat di Kota Pekanbaru. Maka dari itu kami memberikan solusi baru dengan merancang sebuah perancangan User Experience dengan menggunakan metode Design Thinking dengan harapan produk yang dihasilkan dapat sesuai dengan kebutuhan dan juga keinginan pengguna. Dalam penelitian ini, membuktikan bahwa aplikasi transportasi umum di pekanbaru ini dapat memberikan kemudahan terhadap pengguna kendaran umum dalam mengakses informasi tentang kendaraan umum secara real-time.Kata kunci : Transportasi Umum, User Experience, Design Thinking. Abstract - The need for transportation is increasing by the number of peoples choosing to use public transportation. To fulfill all activities for Pekanbaru society, Pekanbaru government has supported by providing public transportation facilities. The public transportation service system available in Pekanbaru City is quite diverse, including Trans Metro Pekanbaru (TMP), Angkot, city buses and others. However, until now Pekanbaru City is still very minimal in providing information services regarding what transportation is available as well as tourism information in Pekanbaru City. Based on the research conducted, various problems experienced by public transportation users in Pekanbaru have been found. The main problem found in this case is the lack of detailed information about public transportation in Pekanbaru City. Therefore we provide a new solution by designing a User Experience using the Design Thinking with the hope that the resulting product can meet the needs and desires of the user. In this.study, it is .proven that the public transportation application in Pekanbaru can provide convenience for public vehicle users in accessing information about public transportation in real-time. Keyword : Public Transportation, User Experience, Design Thinking
Implementasi Bash Scripting Untuk Mengatasi Kekurangan Space Penyimpanan Internal Pada HP Android
Authors: Trisno Indra Budi , Darmanto Darmanto 
Published: December 2022

Abstrak - Salah satu kendala yang dihadapi oleh handphone dengan Sistem Operasi Android yang berumur diatas 3 tahun adalah terbatasnya penyimpanan internal yang dimiliki.oleh handphone tersebut. Berdasarkan pengalaman penulis dengan penggunaan handphone pada jaman sekarang, terbatasnya penyimpanan internal ini mampu menurunkan performance handphone dan juga akan memunculkan warning yang meminta pengguna untuk memindahkan semua data pada penyimpanan eksternal. Sayangnya tidak semua data yang terdapat pada penyimpanan internal bisa dipindahkan ke penyimpanan eksternal dan juga handphone tidak menyediakan feature untuk melakukan instalasi aplikasi pada penyimpanan eksternal. Pada penelitian kali ini penulis akan membuat aplikasi Bash Scripting yang berguna untuk mengatasi masalah tersebut. Aplikasi ini akan secara otomatis membuat suatu file text yang berisi list file-file yang berukuran tertentu sesuai dengan inputan user. Pembuatan aplikasi ini menggunakan metode Waterfall. Hasil output aplikasi ini adalah aplikasi mampu menghasilkan suatu daftar yang berisi nama-nama file dengan kapasitas tertentu sesuai dengan inputan user. File text tersebut juga akan berisi lokasi penyimpanan file-file tersebut. Untuk penghapusan file-file tersebut, harus dilakukan secara manual oleh user, karena ada kemungkinan file-file tersebut adalah file yang penting bagi system operasi Android.Kata kunci: Bash Scripting, HP Android, Penyimpanan Internal Handphone.
Penerapan Algoritma Genetika Menggunakan Radial Basis Function Untuk Prediksi Indeks Harga Konsumen Di Kota Pekanbaru
Authors: Harahap Fahrurrozi , Insani Fitri , Negara Benny Sukma , Yusra Yusra 
Published: December 2022

Abstrak - Indeks harga merupakan barometer kondisi perekonomian perkembangan atau aktivitas yang mempengaruhi kemajuan ekonomi. Indek harga yang paling umum digunakan untuk mengukur tingkat inflasi adalah Indeks Harga Konsumen (IHK). Pentingnya untuk mengetahui kondisi perekonomian yang akan datang dapat dilakukan dengan melakukan suatu prediksi untuk mengantisipasi atau meminimalisir resiko yang akan ditimbulkan oleh pihat terkait. Untuk melakukan prediksi tersebut tidak lah mudah dan membutuhkan suatu metode prediksi yang dapat memprediksi Indeks Harga Konsumen pada suatu wilayah dengan cepat. Data yang digunakan pada penelitian ini adalah data IHK kelompok perumahan, air, listrik, gas yang berasal dari Badan Pusat Statistik di Kota Pekanbaru dan bahan bakar dari Januari tahun 2000 sampai dengan September tahun 2021. Prediksi pada penelitian ini dilakukan menggunakan pererapan Algoritma Genetika pada Radial Basis Function. Pengujian prediksi dilakukan dengan menghitung nilai rata-rata error menggunakan metode Mean Absoulte Percentage Error (MAPE). Data yang digunakan sebanyak 261 data. Dari penelitian ini didapatkan nilai parameter yang optimal dari pengujian parameter yaitu jumlah generasi = 100, jumlah populasi = 20, probabilitas crossover = 0,6 dan probabilitas mutasi = 0,3. Kemudian dengan parameter tersebut didapatkan hasil prediksi pada bulan Oktober 2021 sebesar 100.532 dengan nilai MAPE dari RBG-GA sebesar 0,111%.Kata kunci: Prediksi, Indeks Harga Konsumen, Algoritma Genetika, RBF, JST Abstract - The price index is a barometer of economic developments or activities that affect economic progress. The price index that is most commonly used to measure inflation is the Consumer Price Index (CPI). The importance of knowing future economic conditions can be done by making predictions to anticipate or minimize the risks that will be posed by the relevant parties. To make these predictions is not easy and requires a prediction method that can predict the Consumer Price Index in an area quickly. The data used in this study is CPI data for housing, water, electricity, gas groups originating from the Central Statistics Agency in Pekanbaru City and fuel from January 2000 to September 2021. Predictions in this study were carried out using the application of Genetic Algorithms on Radial Basic Functions. Prediction testing is done by calculating the average error value using the Mean Absolute Percentage Error (MAPE) method. The data used are 261 data. From this research, the optimal parameter values from parameter testing are the number of generations = 100, population = 20, crossover probability = 0.6 and mutation probability = 0.3. Then with these parameters, the prediction results in October are 100,532 with the MAPE value of RBG-GA of 0.111%.Keywords: Prediction, Consumer Price Index, Genetic Algorithm, RBF, ANN
Penerapan Algoritma Hash Based Untuk Analisis Pola Pemilihan Mata Kuliah Pilihan Jurusan Teknik Informatika UIN Sultan Syarif Kasim Riau
Authors: Riyandi Desra Rizki , Budianita Elvia , Zulkarnain Zulkarnain 
Published: December 2022

Abstrak - Mata kuliah pilihan merupakan sebuah cara yang digunakan oleh jurusan dalam rangka meningkatkan mutu dan skill mahasiswa. Namun, tidak sedikit mahasiswa yang salah mengambil mata kuliah pilihan karena tidak menyadari potensi dalam dirinya yang mengakibatkan menurunnya prestasi akademik mahasiswa tersebut. Selama ini juga belum ada penyimpanan data yang digunakan sebagai history atau bahan pertimbangan bagi mahasiswa. Asosiasi menjadi salah satu solusi pencarian pola pada data mining dengan bantuan algoritama hash bashed. Algoritma ini mampu memperbaiki kelemahan algoritma apriori dalam menentukan frequent itemset. Algoritma Hash-based merupakan algoritma yang menggunakan teknik hashing untuk menyaring keluar itemset yang tidak penting untuk pembangkitan itemset selanjutnya.Aturan pola yang didapatkan dari total data sejumlah 530 data menghasilkan pola akhir 3 itemset dengan pola faktor dosen pengampu, minat tersendiri dan, topik tugas akhir (DS,MN,TA) dengan nilai confidence tertinggi senilai 73%, sehingga menjadi faktor yang paling mepengaruhi mahasiswa dalam memilih mata kuliah pilihan.Kata Kunci: Akademik, Asosiasi, Mahasiswa, Mata Kuliah Pilihan, Hash Bashed Abstract - Elective courses are a method used by majors in order to improve the quality and skills of students. However, not a few students take the wrong elective courses because they do not realize their potential which results in a decline in the student's academic achievement. So far, there is no data storage that is used as history or consideration for students. Association is one of the solutions for finding patterns in data mining with the help of hash bashed algorithms. This algorithm is able to improve the weaknesses of the a priori algorithm in determining frequent itemset. Hash-based algorithm is an algorithm that uses a hashing technique to filter out itemsets that are not important for the next itemset generation. The pattern rules obtained from a total of 530 data produce a final pattern of 3 itemsets with a pattern of supporting lecturer factors, special interests and, the topic of the final project (DS, MN, TA) with the highest confidence value of 73%, so that it becomes the most influencing factor for students in choosing elective courses.Keywords: Academic, Association, Student, Elective Course, Hash Based
Algoritme Logistic Regression untuk Mendeteksi Ujaran Kebencian dan Bahasa Kasar Multilabel pada Twitter Berbahasa Indonesia
Authors: Fransiska Ayu , Agustian Surya , Insani Fitri , Fikry Muhammad , Pizaini Pizaini 
Published: December 2022

Abstrak - Ujaran kebencian semakin meningkat bersamaan dengan banyaknya pengguna media sosial. Twitter merupakan salah satu media sosial yang membantu penyeberan ujaran ujaran melalui fitur twit-nya yang dilakukan berulang-ulang. Penelitian ini dilakukan untuk mengklasifikasi apakah sebuah twit mengandung ujaran kebencian atau bahasa kasar, dan jika terdeteksi mengandung ujaran kebencian maka akan diukur tingkatannya. Dataset yang digunakan diambil dari twitter sebanyak 13.126 twit asli. Klasifikasi menggunakan Algoritma logistic Regression dan fitur teks word embedding. Dilakukan beberapa kali percobaan untuk mendapatkan model terbaik agar pengujian didapatkan secara optimal. Rata-rata akurasi yang dari ketiga kelas sebesar 75,59%, untuk kelas hate speech 75,86%,kelas abusive 80,05%, kelas level 70,86% dengan komposisi 90:10.Kata kunci: Klasifikasi, Logistic Regression, Ujaran Kebencian, Twitter. Abstract - Hate speech is increasing along with the number of social media users. Twitter is one of the social media that helps spread utterances through its repeated tweet features. This study was conducted to classify whether a tweet contains hate speech or abusive language, and if it is detected to contain hate speech, the level will be measured. The dataset used was taken from twitter as many as 13,126 original tweets. Classification using Logistic Regression Algorithm and word embedding text feature. Several experiments were carried out to get the best model so that the test was obtained optimally. The average accuracy of the three classes is 75.59%, for the hate speech class is 75.86%, the abusive class is 80.05%, the level class is 70.86% with a composition of 90:10.Keyword : Classification, Logistic Regression, Hate Speech, Twitter.
Sistem Informasi Penggajian Pegawai Harian Lepas (PHL) Berbasis Website Di CV. IBM
Authors: Rahman Rizqy Aulia , Devi Putri Aisyiyah Rakhma 
Published: December 2022

Abstrak - Teknologi telah dikembangkan menjadi alat yang sangat mendukung dalam menghadapi masalah, muncul ketika memecahkan masalah yang ada di perusahaan, institusi, dan organisasi lainnya. Kebutuhan akan sistem informasi mencakup hampir semua bidang kehidupan. Komputer adalah perangkat yang akrab yang membantu individu dan perusahaan dalam berbagai kegiatan pemrosesan keluaran. Antara lain, komputer berfungsi sebagai pencatat dan alat pengolah keluaran. IBM yang dimana gaji atau upah masih manual sehingga membuat lama dan terdapat banyak kekeliruan dalam memberi gaji. PHL ialah Pegawai yang memenuhi persyaratan pengangkatan, ditunjuk oleh otoritas yang berwenang dan ditugaskan ke kantor nasional atau ditugaskan untuk tugas nasional lainnya, PHL tidak termasuk pegawai yang tunduk pada Undang-Undang Ketenagakerjaan. Tata cara dalam penelitian ini ialah Teknologi Pengumpulan, Alat Bantu dan Metode Pelaksanaan. Untuk tujuan merancang dan menerapkan dan mengembangkan sistem penggajian pegawai harian lepas atau PHL di CV. IBM maka dapat disimpulkan bahwa sistem tersebut Memudahkan pegawai untuk memahami detail penggajian.Kata kunci: Teknologi, Perusahaan, Komputer, PHL, Slip Gaji Abstract - Technology has been developed to become a very supportive tool in dealing with problems, emerging when solving problems that exist in companies, institutions, and other organizations. The need for information systems covers almost all areas of life. Computers are familiar devices that help individuals and companies in various keluaran processing activities. Among other things, the computer functions as a recorder and keluaran processing tool. IBM where salaries or wages are still manual so it takes a long time and there are many mistakes in giving salaries. PHL is an employee who meets the requirements for appointment, is appointed by the competent authority, and is assigned to a national office or assigned to other national duties, PHL does not include employees who are subject to the Manpower Act. The procedure in this research is the collection of technology, tools, and implementation methods. For the purpose of designing and implementing and developing a payroll system for casual daily employees or PHL in CV. IBM then it can be concluded that the system makes it easy for employees to understand payroll details.Keywords: Technology, Company, Computer, PHL, Payslip
Investigating Online Learning Implementation in Indonesia; Challenges and Possible Solution
Authors: Daud Muslem , Kuo Bor-Chen , Abdurahman T. , MR Mariati , Yusrizal Yusrizal , Sariakin Sariakin 
Published: December 2022

Online learning has been become a trend as media in teaching and learning. This digital learning media used in various levels of education, from basic to tertiary levels. This fact is not only because of Covid-19 has been taking place for some years ago, but it has been becoming innevatable teaching and learning modes nowadays. Nevetheless, for some developing countries, including Indonesia, online learning implementation still challenges. This reserach investigated teachers readiness to use those technologies devices to run classroom by using online learning. Research sample of primary school teachers were 55 Indonesian teachers.The data were analyzed using the simple percentage method. The results shows there are teachers face challeges in using online learing. I related to teachers competencies and limited online infrastructure available. These two situation need to be paid attention by schools as well the government particularly telecommunication department. Training and mentoring as well as expanded access to fast internet connection required for online teaching would be the suggestion of the study. Keywords: Online Teaching, Online Learning, Technology Education