bluuebunny/crossref_metadata_2025_split huggingface dataset:
Toxic Effects of Cadmium on the Female Reproductive Organs a Review
Authors: Maretta M. , Marettová E. 
Published: December 2022

Abstract
Cadmium (Cd) is a common environmental pollutant present in soil and associated with many modern industrial processes. Cadmium may adversely influence the health of experimental animals and humans and exert significant effects on the reproductive tract morphology and physiology. During embryonic development, cadmium suppresses the normal growth and development of the ovaries, and in adults it disrupts the morphology and function of the ovaries and uterus. The exposure to cadmium has adverse effects on the oocyte meiotic maturation affecting the structure of ovarian tissue. The distribution of follicles and corpus luteum in the ovarian tissues has been shown to be disrupted, affecting the normal growth and development of the follicles. In the ovarian cortex, the number of follicles at different stages of maturation decreased, and the number of atretic follicles increased. In the medulla, oedema and ovarian haemorrhage and necrosis appears at higher doses. Granulosa cells exposed to cadmium exhibited morphological alterations. Oocyte development was inhibited and the amount of oocyte apoptosis was higher. Cadmium exposure also caused changes in the structure of the ovarian blood vessels with reduction in the vascular area. Cadmium effects included increased uterine weight, hyperplasia and hypertrophy of the endometrial lining. Exposure to cadmium had specific effects on gonadal steroidogenesis by suppressing steroid biosynthesis of the ovarian granulosa cells and luteal cells. Progesterone, follicle stimulating hormone, and luteinizing hormone decreased significantly after CdCl2 administration. Cadmium can suppress the female’s ovulation process and cause temporary infertility.
PCR Detection of an Eye Anomaly in a Family of Longhaired Collies
Authors: Holečková B. , Bučan J. , Horňáková Ľ. , Halušková J. , Sedláková S. , Galdíková M. 
Published: December 2022

Abstract
Inherited eye diseases have been the subject of genetic research for many years. This paper focuses on the optimisation of the DNA test based on the polymerase chain reaction (PCR) for the detection of Collie Eye Anomaly (CEA) in dogs. A small family of four longhaired Collies (parents and their daughters) with a confirmed positive clinical ophthalmologic examination of CEA served as the source of affected animals. Both PCR reaction conditions examined were suitable for detecting canine NHEJ1 gene mutation associated with CEA. One carrier was found in a small group of eleven randomly selected control healthy dogs. The PCR test confirmed the previous CEA-positive ophthalmological examination in Collies. The results indicated that all four family members of the examined longhaired Collies had a homozygous intronic deletion of 7799 bases in the canine NHEJ1 gene. The affected female Collies may potentially transmit this CEA-associated mutation to their puppies.
Political Will and Economic Necessity? The Construction of High-Speed Rail Networks in Portugal and East Germany
Authors: Szobi Pavel , Nigrin Tomáš , Oravec Juraj 
Published: December 2022

Abstract
This article aims two EU member countries (i.e. Portugal and Germany) from different regions in Europe which have, for decades, been following common strategies regarding HSR development. The authors discuss the economic profitability vs. political aims, which were related to rail modernization. The text outlines the historic background of early railway construction, important milestones for a new level of rail planning in the 1980s and 1990s in both Portugal and Germany and delays in the realization of HSR projects, their rising costs, and the opposition of the public against the new lines. The experience of the countries under scope serves as an example for other EU members who have plans to take part in the Trans-European Transport Network.
The impact of city public transportation use on the competitiveness between high-speed rail and the car: The example of the Prague – Brno connection
Authors: Kowalski Michal , Marada Miroslav , Chmelík Jakub 
Published: December 2022

Abstract
The aim of the paper is to determine how fast the HSR connection in conjunction with public transport between Brno and Prague should be in order to be time-competitive with car use. Brno and Prague are the largest agglomerations in Czechia and, according to the Czech government’s plan, the first HSR will be built between them. The competitive speed of high-speed trains is derived from mathematical accessibility models created in GIS. The route planner in Google Maps and control supplementary sources were used as a source of data on the speed of public transport connections and the travel time of cars. The effect of a possible relocation of the main Brno railway station is also considered. The derived optimal competitive speed is slightly higher than the current plans assume.
Implementasi Sistem Administrasi di Unit Pelaksana Teknis Pusat Pengembangan Publikasi Ilmiah Dosen Universitas Semarang berbasis Website
Authors: Pradana Muhamamd Surya Jati , Hendrawan Aria , Christioko B.Very , Pinem Agusta Praba Ristadi 
Published: December 2022

Pusat Pengembangan Publikasi Ilmiah Dosen (P3ID) ialah Unit Pelaksana Teknis (UPT) yang dibentuk di Universitas Semarang guna melakukan pengelolaan arsip surat yang berkaitan dengan jurnal. Kegiatan pengelolaan dan pengarsipan surat jurnal di P3ID masih dilakukan dengan cara manual, yang memungkinkan terjadinya kesalahan dalam pencatatan surat terlebih bila surat yang diarsipkan jumlahnya banyak. Dengan alasan tersebut, maka penelitian dilakukan untuk mengimplementasikan algoritma Sequential Search dalam proses pencarian arsip surat di P3ID ini. Metode yang digunakan dalam pengembangan sistem ialah metode Rapid Application Development (RAD), metode yang menekankan pada pengembangan sistem dengan jangka waktu yang singkat. Dari hasil implementasi pada sistem Administrasi berbasis Website ini, sistem berjalan dengan baik. Proses pencarian yang dilengkapi dengan algoritma Sequential Search ini juga dapat menampilkan hasil yang dicari berdasarkan kata kunci perihal. AbstractLecturer’s Scientific Publication Development Center is a Technical Implementation Unit established at the University of Semarang to manage the archive of letters related to journals. The management and archiving activities of journal letters in P3ID are still done by manual means, which allows for errors in the recording of letters especially when the letters archived in large numbers. For this reason, research was conducted to implement the Sequential Search algorithm in the process of searching for mail archives in this P3ID. The method used in system development is the Rapid Application Development (RAD) method, a method that emphasizes system development for a short period of time. From the implementation results on this Website-based Administration system, the system is running well. The search process equipped with sequential search algorithm can also display the results searched based on the subject keyword.
Pengaruh Prediksi Missing Value pada Klasifikasi Decision Tree C4.5
Authors: Arifianto Aji Seto , Dewi Safitri Kursita , Agustianto Khafidurrohman , Wiryawan I Gede 
Published: December 2022

Pendekatan klasifikasi data bersifat supervised learning menuntut adanya dataset yang lengkap. Permasalahan yang muncul adanya missing value yaitu hilangnya nilai suatu atribut yang diakibatkan kesalahan dalam pengumpulan data, kesalahan saat memasukkan data, dan ketidakmampuan responden untuk memberikan jawaban yang akurat. Penelitian ini melakukan uji coba pengembangan rule decision tree C4.5 untuk data penyakit ginjal kronis. Dataset terdiri dari 400 record, 24 atribut dan 1 kelas target. Karakteristik data yang digunakan meliputi 11 data bertipe numerik dan 14 data bertipe nominal. Jumlah data kelas positif penyakit ginjal kronis 250, sedangkan negatif ginjal kronis 150. Total data yang tidak lengkap (missing value) 1012 records. Perlakuan pertama dibangun rule dengan menghitung entropy dan gain pada 360 data training yang terdapat missing value diperoleh 21 rules. Kemudian pada perlakuan kedua diterapkan prediksi missing value menggunakan rumus mean dan modus sebelum pembetukan rule tree, didapatkan 24 rules. Mengukur akurasi kedua rules tree C4.5 dilakukan menguji 40 data test, hasilnya 90% untuk rule dengan missing value dan 95% untuk dataset yang telah diprediksi nilainya. AbstractThe supervised learning approach to data classification requires a complete dataset. The problem that arises was the existence of missing value, namely the loss of the value of an attribute due to errors in data collection, errors when entering data, and the inability of respondents to provide accurate answers. This study conducted a trial on the development of the C4.5 rule decision tree for chronic kidney disease data. The dataset consisted of 400 records, 24 attributes and 1 target class. The data characteristics included 11 numeric data and 14 nominal data types. The number of positive data for kidney disease was 250, while the number of negative for kidney disease was 150 and the total of missing value was 1012 records. The first treatment was building a rule by calculating the entropy and gain on 360 training data where missing value was obtained, it was 21 rules. Then in the second treatment, the prediction of missing value was applied using the mean and mode formula before the formation of the rule tree, obtained 24 rules. Researcher was measuring the accuracy of the two rules tree C4.5 is done by using 40 data-testing, the result is 90% for rules with missing value and 95% for datasets whose value has been predicted.
Investigasi Hambatan dan Tantangan Penerapan Sistem Informasi Manajemen di Rumah Sakit
Authors: Malahayati Malahayati , Syamsuar Dedy 
Published: December 2022

Keberhasilan penerapan sistem informasi manajemen (SIM) sangat berpengaruh terhadap operasional suatu organisasi, terutama organisasi yang telah menggantungkan proses bisnisnya pada sistem tersebut. Oleh karenanya, penting bagi suatu organisasi mengidentifikasi hambatan dan tantangan dalam penerapan sistem tersebut. Penelitian ini bertujuan untuk mengetahui faktor hambatan dan tantangan pelaksanaan penerapan sistem informasi manajemen rumah sakit (SIMRS). Penelitian ini merupakan penelitian kualitatif untuk menggali secara mendalam masalah yang menghambat penerapan SIMRS pada objek penelitian. Berdasarkan analisis domain, penelitian mengidentifikasi beberapa masalah yang menjadi penyebab yaitu infrastruktur yang kurang baik, komitmen sumber daya manusia (SDM), standar prosedur operasional (SPO) yang belum diterapkan, kejelasan tugas pokok dan fungsi, serta supervisi yang belum efektif, pengawasan dari pihak manajemen yang tidak dijalankan serta sistem eksternal sebagai penyebab belum optimalnya sistem informasi manajemen rumah sakit. AbstractThe successful implementation of a Management Information System (MIS) greatly affects the operations of an organization, especially organizations that have depended on their business processes on the system. Therefore, it is important for an organization to identify barriers and challenges in implementing the system. This study aims to determine the constraints and challenges of implementing the hospital management information system (HMIS). This research is a qualitative research to explore in depth the problems that hinder the application of hospital management information system to the object of research. Based on the domain analysis, the research identifies several problems that are the causes, namely poor infrastructure, commitment to human resources (HR), standard operating procedures (SOP) that have not been implemented, clarity of main tasks and functions, as well as ineffective supervision, supervision from parties. management that is not implemented as well as external systems as the cause of not optimal hospital management information system.
Kebaruan Fungsional Vertex Marker Terhadap Marker Based Augmented Reality Tracking Factors (Jarak, Sudut, dan Luas Permukaan)
Authors: Kusuma Wahyu Teja , Supianto Ahmad Afif , Tolle Herman , Anshori Mochammad 
Published: December 2022

Fungsional marker adalah yang paling utama mempengaruhi kinerja dari Marker Based Augmented Reality tracking system. Sedangkan vertex marker adalah marker jenis baru yang dihasilkan dari penelitian sebelumnya. Penelitian ini penting untuk dilakukan guna membuktikan fungsional dari vertex marker terhadap faktor-faktor yang mempengaruhi Marker Based Augmented Reality tracking system (jarak, sudut, dan luas permukaan yang tertutupi). Penelitian ini juga membandingkan hasil pengujian fungsional vertex marker dengan single marker. Akhirnya, penelitian ini berkontribusi untuk membuktikan kebaruan dari fungsional vertex marker pada faktor jarak ideal, sudut ideal, dan luas permukaan yang tertutupi dibidang Marker-Based Augmented Reality tracking system. AbstractFunctional of marker is the main thing that affects the performance of the Marker Based Augmented Reality tracking system. This research is important to do to prove the functional of vertex markers against Marker Based Augmented Reality tracking factors (distance, angle, and testing of the surface area covered). This study also compared the results of the functional testing of the vertex marker with the single marker. Finally, this research contributes to proving the novelty of functional vertex markers in the field of Marker-Based Augmented Reality tracking factors.
Klasifikasi Presiden Republik Indonesia Menggunakan SVM Kernel Polynomial Dengan Fitur Ektraksi Gabor
Authors: Kristianingrum Kristianingrum , Rahman Aviv Yuniar , Istiadi Istiadi 
Published: December 2022

Indonesia adalah negara dengan sistem demokrasi dalam pemerintahannya. Adanya pemilihan presiden yang dilakukan selama 5 tahun sekali dari masa kemerdekaan sampai dengan sekarang. Pemilihan presiden atau yang sering disebut dengan pemilu (pemilihan umum) ini berguna untuk memilih calon presiden dan wakil presiden dalam sebuah negara. Mengingat adanya pergantian presiden setelah 5 tahun dalam 2 periode, para remaja jaman sekarang cenderung mengikuti jaman millennial. Sehingga banyak diantaranya tidak mengenali siapa saja presiden-presiden yang pernah menjabat di Indonesia. Oleh karena itu peneliti mengusulkan Sistem Klasifikasi Presiden Republik Indonesia menggunakan SVM Kernel Polynomial dengan Fitur Ekstraksi Gabor. Tujuan dalam peneliti ini untuk membedakan dan mengklasifikasikan nama presiden berdasarkan dengan foto tersebut. Hasil dalam SVM fitur Gabor kernel Polynomial mendapatkan nilai accuracy tertinggi sebesar 80.77 dengan split ratio 10:90. Parameter precision memiliki nilai tertinggi mencapai 32.56 dengan split ratio 10:90 dan Recall mencapai 32.70 pada split ratio 10:90. Hasil dalam pengujian ini menunjukkan bahwa SVM fitur Gabor kernel Polynomial ialah yang mampu mengklasifikasikan foto presiden dengan baik dan akurat. AbstractIndonesia is a country with a democratic system in its government. Presidential elections are held every 5 years from the time of independence until now. Presidential elections or what are often called elections (general elections) are useful for selecting presidential and vice presidential candidates in a country. considering the change of president after 5 years in 2 periods, today's youth tend to follow the millennial era. So many of them do not know who the presidents who have been in Indonesia are. Therefore, the researcher proposes the Classification System for the President of the Republic of Indonesia using SVM Kernel Polynomial with Gabor Extraction Features. The purpose of this research is to distinguish and classify the name of the president based on the photo. The results in the SVM Gabor Polynomial kernel feature get the highest accuracy value of 80.77 with a split ratio of 10:90. The precision parameter has the highest value reaching 32.56 with a split ratio of 10:90 and Recall reaching 32.70 at a split ratio of 10:90. The results in this test show that SVM features a Gabor Polynomial kernel which is able to classify presidential photos well and accurately.
Faktor Faktor Berpengaruh Kepada Kepuasan Mahasiswa Fakultas Ilmu Komputer Universitas Indonesia (Fasilkom UI) Terhadap Pembelajaran Jarak Jauh (PJJ) Melalui Student-Centered E-Learning Environment (SCELE)
Authors: Athaya Hisyam , Purwandari Betty , Eitiveni Imairi , Purwaningsih Mardiana 
Published: December 2022

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi kepuasan mahasiswa lintas jenjang dan lintas program studi pada Fakultas Ilmu Komputer Universitas Indonesia (Fasilkom UI) terhadap penggunaan Student Centered E-Learning Environment (SCELE), sistem manajemen pembelajaran berbasis Moodle milik Fasilkom UI selama masa pembelajaran jarak jauh. Dari hasil tinjauan literatur sistematis, dibangun sebuah model dari hasil pengumpulan faktor dan indikator potensial. Model tersebut kemudian diuji menggunakan metode kuantitatif, dan hasilnya dianalisa menggunakan Structural Equation Modelling. Dari hasil yang didapatkan, dilakukan wawancara untuk memahami dan menginterpretasikan hasil riset. Dari riset yang dilakukan, dapat disimpulkan bahwa faktor-faktor yang menunjang kepuasan mahasiswa Fasilkom terhadap penggunaan SCELE adalah faktor kualitas teknikal sistem, kualitas pelajar dan kualitas sistem pembelajaran/pendidikan. AbstractThis study aims to determine factors that influence the satisfaction of Faculty of Computer Science Universitas Indonesia (Fasilkom UI) students towards the use of Fasilkom UI’s Moodle-based Student-Centered E-Learning Environment (SCELE) during mandatory distance learning. From the result of a systematic literature review, a model is built from by collecting and selecting potential factors and indicators. The model was then tested using a quantitative method, and the results were analyzed using Structural Equation Modeling. From the results obtained, interviews were conducted to understand and interpret the results of the research. From the research conducted, it can be concluded that the factors that support the satisfaction of Fasilkom UI students towards the usage of SCELE are the Technical System Quality, Learner Quality and the Educational System Quality.
Implementasi Algoritma Mickey 2.0 untuk Mengamankan Komunikasi Data pada Perangkat Bluetooth Low Energy
Authors: Rochani Amelia Dwi , Kusyanti Ari , Bakhtiar Fariz Andri 
Published: December 2022

Kondisi Internet of Things saat ini yang cenderung tanpa menggunakan fitur keamanan dapat menjadi tantangan untuk realisasi Internet of things terutama di bidang privasi dan kerahasiaan data, khususnya pada modul sensorik berdaya rendah yaitu Bluetooth Low Energy. Adanya celah keamanan pada Bluetooth Low Energy menjadi perhatian besar di jaringan Internet of Things saat ini, terutama yang terhubung dengan jaringan public. Data dari perangkat dapat diretas dan dimodifikasi oleh peretas. Dengan menerapkan algoritma enkripsi pada perangkat Bluetooth Low Energy dapat menjamin aspek confidentiality data serta dapat mencegah peretas menyadap dan mencuri data. Pada penelitian ini digunakan algoritma Mickey 2.0 untuk melakukan enkripsi. Algoritma ini berhasil melewati proyek eStream dan menjadi kandidat ideal untuk perangkat berkonsumsi daya rendah. Data yang diamankan berasal dari sensor DHT11 yang dikirim menggunakan protokol Bluetooth Low Energy. Sebelum dikirim dilakukan enkripsi pada sisi server menggunakan algoritma Mickey 2.0 dan proses dekripsi akan dilakukan pada sisi client. Hasil keystream akan divalidasi terlebih dahulu pada pengujian test vector. Untuk mengetahui tingkat keamanan dilakukan pengujian serangan pasif sniffing dan serangan aktif Known Plaintext Attack (KPA). Serangan pasif dan serangan aktif yang dilakukan tidak berhasil mendapatkan plaintext. Abstract The current condition of the Internet of Things tends to be without the use of security features, especially in the field of privacy and data confidentiality, especially in the low power sensor module i.e. Bluetooth Low Energy. The existence of security holes in Bluetooth Low Energy is a big concern for Internet of Things networks, especially those connected to public networks. Data from the device can be hacked and modified by hackers. By implementing encryption algorithms on Bluetooth Low Energy devices it can guarantee data confidentiality aspects and can prevent hackers from eavesdropping and stealing data. In this research, Mickey 2.0 algorithm is used for encryption. This algorithm successfully passed the eStream project and became an ideal candidate for low power consumption devices. The secured data comes from the DHT11 sensor which is sent using the Bluetooth Low Energy protocol. Before sending data, encryption is performed on the server side using the Mickey 2.0 algorithm and the decryption process will be carried out on the Client side. The keystream results will be validated first in the test vector test. To determine the level of security, a passive sniffing attack and an active Known Plaintext Attack (KPA) were tested. Passive attacks and active attacks do not get the plaintext.