bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistem Informasi Penjadwalan Pesanan Dengan Metode Earliest Due Date (EDD) (Studi Kasus: Berkah Media Sarana)
Authors: Ramadhani Feny , Purwanto Eko , Oktaviani Intan
Published: August 2022

Berkah Media Sarana adalah perusahaan yang bergerak percetakan. Sistem yang sedang berjalan saat ini masih manual hanya dicatat dalam kertas untuk pemesanan dari desain, cetak hingga finishing. Sehingga informasi yang dikeluarkan tidak akurat. Data yang diperoleh hanya untuk sementara setelah pesanan selesai dikerjakan maka data itu tidak dipergunakan atau disimpan. Perusahaan belum mengetahui makna data itu sendiri. Perusahaan ini hanya melakukan produksi jika ada pesanan saja. Pelanggan memesan desain, finishing yang diinginkan dan menentukan tanggal jatuh tempo (due date) kemudian data itu dicatat pada sebuah nota 2 rangkap untuk pelanggan dan untuk kantor juga dicatat di whiteboard kantor untuk penjadwalan cetak. Perusahaan hanya memperkirakan kapan pesanan itu proses cetak dan dapat diambil tanpa melihat pesanan lain. Hal ini dapat merugikan perusahaan dan banyak terjadi komplain dari pelanggan karena jatuh tempo yang disepakati terlambat dan ketidakpastian jadwal dan pesanan yang masuk. Metode yang digunakan adalah Earliest due date (EDD) yang memberikan prioritas tertinggi pada produk yang prosesnya memiliki (due date) batas waktu penyelesaian terpendek. Metode ini lebih mudah diterapkan dan dipahami. Untuk mengurangi kesalahan-kesalahan yang telah terjadi tersebut. Sistem penjadwalan pesanan ini dengan metode Earliest due date (EDD) dengan memperhitungkan pesanan masuk dan waktu produksi cetak sehingga perusahaan Berkah Media Sarana dapat memberikan informasi kapan produski pesanan itu dilakukan dan pesanan jatuh tempo dapat diminimalisir dalam keterlambatannya. Sistem yang di hasilkan dari penelitian ini adalah sistem sudah bisa di gunakan untuk mencatat pemesanan dan penjadwalan dengan metode ealist due date dimana keduanya saling berkaitan sehingga pesanan dapat diproses sesuai jatuh tempo dengan meminimalisir keterlambatan.
KÜÇÜK ÇOCUKLARDA OYUN DAVRANIŞLARI VE SOSYAL KONUM
Authors: GÜLAY OGELMAN Hülya , AKDOĞAN Selay , KAHVECİ Döne , AMCA TOKLU Derviş
Published: August 2022

Araştırmanın amacı, küçük çocukların sosyal konumlarının oyun davranışları açısından incelenmesidir. Çalışmanın örneklem grubunda, 5-6 yaş grubundan 144 çocuk yer almaktadır. Araştırmada veri toplama aracı olarak Kişisel Bilgi Formu, Seçime Dayalı Sosyometri Tekniği ile Oyun Davranış Ölçeği kullanılmıştır. Kişisel Bilgi Formu ve Oyun Davranışları Ölçeği, öğretmenler tarafından her çocuk için ayrı ayrı doldurulmuştur. Seçime Dayalı Sosyometri Tekniği, çocuklara bireysel olarak uygulanmıştır. Araştırmanın bulgularına göre okul öncesi dönem çocuklarının sosyal oyun ve sessiz oyun davranışları, akranları tarafından sevilme düzeyini istatistiksel açıdan anlamlı biçimde yordamaktadır. Yalnız pasif, itiş kakış ve yalnız aktif oyun davranışları, akranları tarafından sevilme düzeyini anlamlı biçimde yordamamaktadır. Sosyal oyun, itiş kakış, sessiz oyun davranışları akranları tarafından sevilmeme düzeyini anlamlı biçimde yordamaktadır. Yalnız pasif ve yalnız aktif oyun davranışları akranları tarafından sevilmeme düzeyini anlamlı biçimde yordamamaktadır. Sosyal oyun, itiş kakış, sessiz oyun davranışları sosyal tercih düzeyini anlamlı biçimde yordamaktadır. Küçük çocukların yalnız pasif ve yalnız aktif oyun davranışları sosyal tercih düzeyini anlamlı biçimde yordamamaktadır. İtiş kakış oyun davranışları sosyal etki düzeyini anlamlı biçimde yordamaktadır. Küçük çocukların sosyal, yalnız pasif, sessiz ve yalnız aktif oyun davranışları sosyal etki düzeyini anlamlı biçimde yordamamaktadır. Okul öncesi dönem çocuklarının sosyal oyun, itiş-kakış oyun, sessiz oyun ve yalnız aktif oyun davranışları popüler, reddedilen, dışlanan ve tartışmalı konumlarına göre farklılık göstermektedir. Yalnız pasif oyun davranışları sosyal konumlara göre farklılık göstermemektedir.
LA REALIDAD AUMENTADA EN LA ENSEÑANZA Y APRENDIZAJE DE LA BIOLOGIA Y QUIMICA UNIVERSITARIA: UNA REVISIÓN SISTEMÁTICA
Authors: Mendoza Melazco Derling Jose , Flores Hinostroza Elizeth Mayrene , Paredes Benavides Alicia Gabriela , Sanango Guallpa Cinthya Katherine
Published: August 2022

El presente estudio se desarrolló con el objetivo de establecer una revisión bibliográfica documental sobre la realidad aumentada en la educación universitaria con respecto a las áreas de la biología y de la química. Como metodología investigación se aplicó el enfoque multi método o también conocido como método mixto toda la investigación. el diseño fue de tipo documental, estableciéndose una revisión bibliográfica de 564 artículos de investigación relacionados a la biología la ciencia y la química aplicándose la realidad aumentada. a través de los criterios de inclusión y exclusión se considerarán 180 artículos para la revisión investigativa. entre los principales resultados se puede determinar que a partir del año 2012 la realidad aumentada se ha vuelto muy popular en la educación. por otra parte, la realidad aumentada ofrece ventajas afiliadas a la innovación educativa facilitando el proceso de enseñanza y aprendizaje. los retos de la realidad aumentada están sustentados en los altos costos de los dispositivos y la brecha tecnológica.
TECNOLOGIAS DIGITAIS DA INFORMAÇÃO E COMUNICAÇÃO: A IMPORTÂNCIA DAS MÍDIAS DIGITAIS NA EDUCAÇÃO
Authors: Alves Guimarães Ueudison , Cavalcanti de Melo Patricia , De Fátima de Oliveira Nunes Kely
Published: August 2022

Este trabalho tem como objetivo demonstrar a importância do impacto das mídias digitais na educação, sendo considerado um tema de fundamental importância nos dias atuais diante do mundo globalizado e tecnológico que envolve diretamente as ferramentas tecnológicas e está em constante evolução. Sabe-se que o referido assunto está relacionado ao desenvolvimento de compartilhamento das habilidades de cada agente envolvido no processo ensino-aprendizagem. Mas deve-se considerar que essas tecnologias foram feitas pelo homem e para o homem, pois sempre o ser humano cria, por meio de estudos, as novas invenções diante do mundo para a possível execução, uma vez que, a cada segundo se vivencia diferentes momentos e novas invenções, o que origina estudos mais reflexivos, participativos e colaborativos, sendo que cada individuo, torna-se protagonista fundamental no processo de formação contínua, tanto da ciência, como também subsidiados em experiências cotidianas, tornando um ambiente mais informativo, atrativo e compartilhado, onde novas ações geram novas reações e melhores resultados.
O USO DA PRÓTESE PARCIAL REMOVÍVEL NA REABILITAÇÃO ORAL
Authors: Girotto Aline , Conde Alexandre , Bozzetti Pigozzi Lucas , Cortina Bellan Mariá , Paulus Marília
Published: August 2022

O Edentulismo parcial acomete muitas pessoas no território brasileiro e, infelizmente, essa condição traz consigo inúmeras consequências para a saúde do paciente, sendo o tratamento protético uma solução cabível para esses casos. Este estudo, consiste em relatar sobre a importância na qualidade de vida do indivíduo ao fazer o uso da prótese parcial removível para a reabilitação oral, devolvendo estética, saúde e função. Paciente do sexo feminino, 44 anos, leucoderma, natural e residente em Caxias do Sul-RS, procurou atendimento odontológico com queixa estética pela ausência de alguns elementos dentários. Após exame físico, clínico e de imagens, realizou-se o planejamento. Posteriormente, a paciente recebeu tratamento protético reabilitador e acompanhamento adequado, com o uso de uma prótese parcial removível. O tratamento com o uso da prótese parcial removível foi fundamental para reestabelecer os requisitos desejados de estética, saúde e função, devolvendo qualidade de vida à paciente.
Visualization Factor Distraction During the Driving Task in a Real Reality Environment Using EEG Analysis
Authors: Zulfakur Nursyuhadah , Darius Dian Darina Indah , Mohd Yusop Nurhafizah Moziyana , Yahaya Yuhanim Hani
Published: August 2022

Introduction: A visually cluttered environment is described as one that has visual qualities that have the potential to affect driving efficiency. It is the theory that performance is determined by the interaction of the individual, the task, and the surrounding environment. – Statistics of an accident reported in Malaysia has been increasing rapidly. General observation found that the main cause of car accidents reported in due to the distraction of the driver during. This study aims to examine the visualization factor distraction that causes an accident during the driving task. Methods: The driver distraction is measured based on the analysis of attention level of Electroencephalogram (EEG) signal. The EEG signal waves that are produced from the brain will be recorded while the driver is driving on the road with controlled parameters. The data are analyzed in order to retrieve the level of attention level of the driver. Result : Findings from this study show that the percentage of attention level reduced with the most significant factors in visualization. Conclusion: Based from the results of this study, the activity in the brains reacts differently to the different visualization that the drivers are exposed to during driving.
Monitoring Driver’s Heart Rate Response Using Heart Rate Detection Device (HDD)
Authors: Bin Makhtar Ahmad Khushairy , Binti Abdul Khalim Nur Hafizah , A Wahab A Malek , Adull Manan Nor Fazli
Published: August 2022

Introduction: Drowsiness driving is one factor contributing to road accidents resulting in fatalities of drivers and passengers. However, a warning system device to alert drivers about the drowsiness level has never been appropriately developed. This study aims to create a heart rate detection device that monitors drivers’ heart rate and notify them about their drowsiness, which will, in the long term can help to reduce the number of road accidents due to drowsiness. Methods: In this experimental research, ten participants (Mean Age= 24 Years-Old, SD=0.4) were attached to the developed heart rate detection device on the steering wheel of a driving simulator. The participants underwent four 30-min sessions on the driving simulator sessions and heart rate reading throughout the driving period to obtain the heart rate mean value from the first three sessions. The obtained heart rate mean value was set as a threshold value so that the alarm will trigger if the value of heart rate falls below the threshold value in the fourth session. Results: The results showed that the respondents’ average heart rate (bpm) decreased gradually the longer time they drove the car simulator. This study also revealed that the heart rate detection device successfully monitored the driver’s heart rate and notified them when they were at drowsiness level. Conclusion: Overall, the device should be more user friendly by improving the sensitivity of sensors in all parts of the steering wheel for better data collection.
Pelatihan Penyusunan RPP Terbaru untuk Meningkatkan Kompetensi Pedagogik Guru di MTS-MA darul Azhar
Authors: Siregar Irma Suryani , Pratami Fuji
Published: August 2022

This service is carried out because the MTs-MA Darul Azhar teacher's understanding has not been maximized to prepare the Latest RPP in accordance with the Minister of Education and Culture's Circular Letter Number 14 of 2019. The purpose of this service is to socialize and provide training on making the Latest RPP to MTs-MA Darul Azhar teachers. The method used to solve problems in this community service program is service learning. The results of this service are (1) the MTs-MA Darul Azhar teacher has been given trick material for compiling the Latest RPP; (2) MTs-MA Darul Azhar teachers have been able to prepare the Latest RPP properly and according to components. There were several things that were found during the socialization and training for the preparation of the Latest RPP, as follows: (1) The latest RPP compiled by the participants of the socialization still exceeded one page; (2) the preparation of learning objectives that have not followed the Audience, Behavior, Condition, and Degree (ABCD) format; (3) participants still have difficulty choosing the right learning model with the material and characteristics of students; (4) several student learning activities that are in accordance with the syntax of the selected learning model; and (5) participants were confused in determining the assessment related to the cognitive, psychomotor and affective domains. The findings during the socialization and training have been improved, so that participants understand and are able to prepare the Latest RPP well. This socialization and training is expected to improve the pedagogic abilities of teachers as participants. Hopefully in the future the pedagogic competence of teachers in compiling the latest RPP will improve.
Pendekatan Triple Helix Pada Umkm Kuliner Par Mambo dalam Menigkatkan Pertumbuhan Ekonomi di Tasikmalaya
Authors: Sulastri Fitri , Syifa Nisa Nurudzati , Hardianti Sri
Published: August 2022

This service is carried out because the MTs-MA Darul Azhar teacher's understanding has not been maximized to prepare the Latest RPP in accordance with the Minister of Education and Culture's Circular Letter Number 14 of 2019. The purpose of this service is to socialize and provide training on making the Latest RPP to MTs-MA Darul Azhar teachers. The method used to solve problems in this community service program is service learning. The results of this service are (1) the MTs-MA Darul Azhar teacher has been given trick material for compiling the Latest RPP; (2) MTs-MA Darul Azhar teachers have been able to prepare the Latest RPP properly and according to components. There were several things that were found during the socialization and training for the preparation of the Latest RPP, as follows: (1) The latest RPP compiled by the participants of the socialization still exceeded one page; (2) the preparation of learning objectives that have not followed the Audience, Behavior, Condition, and Degree (ABCD) format; (3) participants still have difficulty choosing the right learning model with the material and characteristics of students; (4) several student learning activities that are in accordance with the syntax of the selected learning model; and (5) participants were confused in determining the assessment related to the cognitive, psychomotor and affective domains. The findings during the socialization and training have been improved, so that participants understand and are able to prepare the Latest RPP well. This socialization and training is expected to improve the pedagogic abilities of teachers as participants. Hopefully in the future the pedagogic competence of teachers in compiling the latest RPP will improve.
Identifikasi Tantangan Sekolah dan Guru dalam Program Sekolah Menengah Kejuruan Pusat Keunggulan
Authors: Fatah Amir , Purwanto Purwanto , Agrevinna Mausa , Arimbi Rachel , Azzahra Fatimah
Published: August 2022

The suitability of the competence of Vocational High School graduates with the needs in the industry is absolutely necessary. The Center for Excellence Vocational School (SMK PK) program is a program that encourages a comprehensive and harmonious relationship between schools and industry. The SMK PK program covers the areas of curriculum, learning, increasing the number and role of instructors from industry, industrial practice, competency certification, technology updates, applied research, and the uptake of graduates by the world of work. The SMK PK program mentioned above is certainly a new challenge for both schools and teachers. The purpose of this community service is to identify the challenges faced by schools and teachers in the PK Vocational School Program. This is important to do because through this identification activity, community service activities will be carried out according to needs. The method used is in-depth interviews to obtain comprehensive information on the challenges faced by schools and teachers. The results obtained are that schools still face difficulties in establishing relationships with industry so that it has an impact on curriculum development, learning implementation, the presence of instructors from industry, and work internships. While the problem faced by teachers is understanding of the operational curriculum, limited information and training, many new terms are used in the curriculum. Therefore, facilitation of partnering with industry and training on teacher understanding of the curriculum need to be carried out.
Supervisi Bahasa Kelas (Classroom Language) Bagi Guru-Guru SMK JAKARTA PUSAT 1
Authors: Sari Heni Novita , Diana Vera , Indrapuri R. Sri Ayu , Suhariyah Siti , Chasanah Nurun
Published: August 2022

The presence of English has become part of the classroom language in schools. This is carried out as a form of contribution and enrichment of teacher professionalism in dealing with educational developments according to the demands of the times. However, there is still a lack of optimization of English competence in implementing classroom language mastery in the process of teaching and learning activities in schools. To maximize the basic competence of classroom language, SMK Jakarta Pusat 1 has implemented classroom language through gradual English language training. This is expected to improve the quality of human resources, schools, and be able to reflect on students to apply their English skills globally. Class language in general can be said as English expressions used in communicating in class between teachers and students. The teachers of SMK Central Jakarta 1 have been given language training in previous classes. After that, a supervision program for the use of classroom language was given between teachers and students. This supervision activity aims to improve the ability of teachers of SMK Central Jakarta 1 in mastering relevant and effective classroom language and stimulate students' competence to be able to speak English. The results of the questionnaire proved that all teachers responded positively and achieved good marks for non-English teachers. This means that the implementation of bilingualism in SMK Central Jakarta 1 can be effectively realized optimally.
Workshop Report: Aquatic Animal Health Education
Authors: Scarfe D. , Padrós F. , Iatridou D. , Bravo A. , Palić D. , Fabris A.
Published: August 2022

Aquatic animals need veterinary care as any other animal species but sometimes this care is inadequately managed. The role of veterinarians in conventional farmed animal health prevention and control are undoubtedly some of the activities most commonly recognised to the veterinary profession. Although poultry, swine, beef, and other terrestrial animals have been historically considered as the main source for animal protein production, it is very important to highlight that nowadays, fisheries and aquaculture represent a substantial sources of animal protein for human consumption. Global fisheries have reached a non-sustainable breakpoint and, in this scenario, aquaculture emerges as the sustainable alternative for animal protein production for the future. Animal health and welfare, and particularly the control of impact of the diseases in finfish, crustacean and mollusc farming still represents a very important challenge for aquatic animal veterinarians. The ornamental fish sector is also a relevant area, and untapped resource for aquatic animal professionals. However, these needs are not followed by the same level of veterinary services required, indicating that there is still a lot of work to be done in this direction. Disease control and prevention, and aquatic animal health promotion across these different areas is a very challenging task for the future, and represent a tremendous source of opportunity for aquatic veterinarians.
PANDEMİ VE FİZİKSEL İZOLASYON SÜRECİNDE ‘BİYOFİLİK TASARIMIN’ ÖNEMİ
Authors: ÇETİNKAYA ÇİFTÇİOĞLU Gülay
Published: August 2022

İnsanoğlu yeryüzünde var olduğu ilk günlerden beri doğaya ve elemanlarına (ör. Dağlar, nehirler ve bitkiler) karşı bir merakı, ilgisi ve eğilimi olmuştur. Bu yaklaşımın temel nedenlerinden biri, insan türünün gıda, su ve barınma ihtiyaçları açısından doğaya ve kaynaklarına bağımlı olmasıdır. Ancak, günümüz modern dünyasında bir dizi faktörler (ör. Teknolojik gelişme, sanayileşme ve kentleşme) insanların doğadan uzaklaşmasına ve/veya kopmasına neden olmuştur. Bu kopuşun olumsuz etkilerini ise günümüzde küresel bir pandemiye dönüşen Covid-19 fiziksel izolasyon sürecinde hep birlikte deneyimledik. Bu nedenle, birçok gelişmiş ülke kentsel planlama stratejilerini insan-doğa ilişkisini temel alan, iç ve dış mekânlarda iyileştirici ve yaratıcı çözümler sunan ‘biyofilik tasarım’ temelinde güncellemekte ve/veya geliştirmektedirler. Bu bağlamda, bu çalışmanın temel amacı, pandemi ve fiziksel izolasyon sürecinde ‘biyofilik tasarımın’ önemini kentsel peyzaj planlama ve tasarımı bazında irdelenmesini içermektedir. Mevcut verilerin değerlendirilmesi sonucunda, biyofilik tasarımın farklı ölçeklerde (Bina, cadde ve kent) kent halkına bir dizi ekolojik (ör. Temiz hava ve kentsel habitatların korunması), sosyo-psikolojik (ör. İnsanın fiziksel ve ruhsal sağlığına katkı) ve ekonomik (ör. İş verimliliğini artırma) yararlar sağladığı belirlenmiştir. Biyofilik tasarım sürecinde bir dizi doğal elemanlar (ör. İç mekân bitkileri, çatı bahçeleri, yeşil adalar ve koridorlar) kullanılmaktadır. Ancak, biyofilik tasarım elemanları belirtilen ölçekler bazında değişim göstermektedir. Ayrıca, doğanın belirli özelliklerinin (ör. Doğal ışık, renk, su ve fraktal şekiller) biyofilik tasarımın bütün ölçeklerine entegrasyonu teşvik edilmektedir. Bu yaklaşım ile doğanın ve elemanlarının sadece görsel özellikleri değil, aynı zamanda duyu organlarımızı etkileyen özelliklerinin de (ör. Ses, koku ve tat) tasarıma entegre edilmesi amaçlanmaktadır. Covid-19 pandemisini yaşadığımız bu süreçte biyofilik tasarım kent halkına bir dizi yararlar (ör. Fiziksel aktiviteyi sürdürme, elektronik araçların kullanımını azaltma, stresi azaltma ve sosyal ilişkiler kurma) sunmuştur. Bu nedenle, birçok gelişmiş ülke ‘Biyofilik Kent Hareketini’ başlatmıştır. Bu bağlamda, peyzaj mimarı, kent plancısı, iç mimar ve mimarlara önemli görevler düşmektedir. Belirtilen meslekler disiplinler arası bir yaklaşım izleyerek kentsel alanlarda “dışarıdan-çatıya-iç mekana” uzanan bütüncül biyofilik tasarım yaklaşımları geliştirmeli ve farklı ölçeklerdeki mevcut planlara entegre etmelidirler. Ayrıca, biyofilik yaklaşımın bir çerçeve olarak kullanıldığı “sürdürülebilir biyofilik peyzaj tasarımı” yenilikçi bir yaklaşım olarak kentsel ölçekte desteklenmelidir.
Management of Unplanned Changes in Production Processes: AI Control Systems
Authors: Svigaris Zilvinas
Published: August 2022

Quality risk management in industrial plants involves big calculations, the scale of which is often not only incomprehensible but also difficult to manage due to many parameters that affect the quality of production. Unsurprisingly, artificial intelligence-based quality management models are being introduced in manufacturing, only in niche, narrow areas, mostly for tracking product defects or identifying local quality defects. However, detecting the defect stage already is a late stage of the problem, which is almost always associated with a loss. Here comes the importance of prediction of problems or identifying of problematic patterns at an early stage before having production losses. Such attempts are rare and require a special approach. This type of module is needed for wide range problem forecasting in manufacturing. It should be configurable and clear not only by narrow area professionals, but also by medium-sized factory technologists who can configure such a system themselves to control their production quality risks. So here we are developing an approach whose strengths would be its simplicity, comprehensibility, fastness, and accessibility in its training, allowing us to understand why in one case or another the system predicts one decision or another.
Cuboid-based Wireless Sensor Network Localization Algorithm
Authors: Waan Aranya
Published: August 2022

Localization is one of the key technologies in wireless sensor networks (WSNs), since it provides fundamental support for many location-aware protocols and applications. Constraints on cost and power consumption make it infeasible to equip each sensor node in the network with a global position system (GPS) unit, especially for large-scale WSNs. A promising method to localize unknown nodes is to use anchor nodes, which are equipped with GPS units among unknown nodes and broadcast their current locations to help nearby unknown nodes with localization. In this paper we can proposed a novel algorithm of cuboid localization with the help of central point precision method. Simulation shows that the results are far better then existing cuboid methods and gain accuracy of up to 83% with a localization error of 1.6m and standard deviation of 2.7.
Design and Analysis of MIMO Patch Antenna for 5G Wireless Communication Systems
Authors: H. V Pallavi , Chandra A P Jagadeesh , Paramesha
Published: August 2022

In this work, the circular array microstrip patch antenna (MPA) design is proposed for the 5G wireless communication and the millimeter- wave frequency being utilized for this communication system to enhance the coverage area. Here, the Multi Input Multi Output feeding technique is utilized to improve the performance of the proposed design at a resonant frequency of 35 GHz with RT-Duroid 5880 material as substrate. It has 2.2 dielectric constant value and the thickness is 0.5mm.The simulation analysis has obtained the gain as 8.8dB and return loss as -41.9dB. Also, two MPA designs such as single element MPA and 2x2 rectangular array MPA are designed to validate the proposed antenna design. A comparative analysis has proved that the circular array MPA is preferable for the 5G wireless communication system compared to the other two designs such as single element MPA and 2x2 rectangular array MPA.
Data integration in a Hadoop-based data lake: A bioinformatics case
Authors: Colleoni Couto Julia , Teixeira Borges Olimar , Dubugras Ruiz Duncan
Published: August 2022

When we work in a data lake, data integration is not easy, mainly because the data is usually stored in raw format. Manually performing data integration is a time-consuming task that requires the supervision of a specialist, which can make mistakes or not be able to see the optimal point for data integration among two or more datasets. This paper presents a model to perform heterogeneous in-memory data integration in a Hadoop-based data lake based on a top-k set similarity approach. Our main contribution is the process of ingesting, storing, processing, integrating, and visualizing the data integration points. The algorithm for data integration is based on the Overlap coefficient since it presented better results when compared with the set similarity metrics Jaccard, Sørensen-Dice, and the Tversky index. We tested our model applying it on eight bioinformatics-domain datasets. Our model presents better results when compared to an analysis of a specialist, and we expect our model can be reused for other domains of datasets.
PENGARUH SISTEM INFORMASI AKUNTANSI DALAM PELAPORAN KEUANGAN PEMERINTAH DAERAH
Authors: Hafiz Muhammad , Suryanto Suryanto , Dalimunthe Muhammad Azmii , Deliana Deliana , Napitupulu Ilham Hidayah
Published: August 2022

An accounting information system is an information system that has an information processing process that produces financial reports. This research is causative. The data used in this study were from several previous studies. This study discusses an accounting information system that is able to assist the financial reporting process and an effective system in the financial reporting process.
Information Retrieval Sistem Kearsipan Pencarian Dokumen Di Dinas Pemberdayaan Perempuan Dan Perlindungan Anak Kota Semarang Menggunakan Metode Vector Space Model
Authors: Adiyanto* Anggoro Teguh , UN Dewi Handayani
Published: August 2022

Pengelolaan arsip secara tertib dan terpadu dengan memanfaatkan teknologi merupakan salah satu indikator keberhasilan reformasi birokrasi untuk membangun. Saat ini Kementerian Pemberdayaan Perempuan dan Perlindungan Anak sedang mengintegrasikan pengelolaan kearsipan ke dalam sistem e-office yang merupakan bagian dari pelaksanaan Sistem Pemerintahan Berbasis Elektronik (SPBE). Sementara itu, kondisi pengelolaan kearsipan di Kemen PPPA pada 2018 hingga kini masih memprihatinkan karena masih berada pada katagori “tidak baik”. Hal tersebut berakibat pada pencarian data yang dibutuhkan menyulitkan petugas terkait. Untuk dapat melakukan pencarian berdasar substansi yang paling mirip, terdapat teknologi yang disebut information Text Retrieval user. Information text retrieval adalah salah satu metode yang digunakan untuk menyimpan data dengan cara memprosesnya (menghilangkan stop word) dan menyimpan tiap kata beserta informasi dari kata tersebut (letak kata, jumlah bobot). Information retrieval berfokus pada proses yang terlibat di dalam representasi, media penyimpanan, mencari dan menemukan informasi yang relevan dari informasi yang diinginkan oleh user. Metode Vector Space Model merupakan salah satu alternatif yang dapat diimplementasikan untuk memecahkan masalah ini. Vector space model (VSM) atau model ruang vektor adalah suatu metode untuk merepresentasikan dokumen dan query dalam bentuk vektor pada ruang multidimensional . Dengan metode Vector Space Model dapat dilihat tingkat kedekatan atau kesamaan dengan cara pembobotan term. Metode ini dapat di terapkan dalam pengembangan sistem information retrieval pada pengelolaan kearsipan di Kemen PPPA, sehingga dapat memberikan perbaikan dalam kearsipan di terutama dalam pencarian data. Pada percobaan menggunakan sampel dalam sistem dan analisis manual, metode VSM dapat memberikan solusi pencarian dokumen dengan tepat.
Teknik Klasifikasi Prediksi Kelulusan Mahasiswa Sistem Informasi Universitas Sari Mutiara Indonesia Menggunakan K- Nearest Neighbors
Authors: Tafonao Intan P.J , Sibero* Alexander F.K.
Published: August 2022

Tidak stabilnya rasio tingkat kelulusan mahasiswa program studi Sistem Informasi pada Universitas Sari Mutiara Indonesia menciptakan kondisi yang membuat adanya suatu penumpukan data. Teknik data mining dapat digunakan untuk memprediksi kelulusan tepat waktu mahasiswa. Penelitian menggunakan metode k-Nearest Nieghbors yang merupakan sebuah metode untuk melakukan klasifikasi terhadap objek berdasarkan data training yang jaraknya paling dekat dengan objek tersebut. Pada penelitian ini menggunakan data mahasiswa tahun angkatan 2014 sampai dengan 2017 dengan jumlah data sebanyak 104 orang. Hasil dari perhitungan algoritma kNN diimplememetasikan dengan jupyter notebook. Tingkat akurasi pengujian model kelulusan mahasiswa dengan menggunakan algoritma k-Nearest Neighbor (kNN) dipengaruhi oleh missing value indeks prestasi semester. missing value diganti dengan angka 0 maka hasil akurasi tertinggi adalah 95% dengan k=3. Jadi k terbaik adalah k=3 berdasarkan indeks prestasi sampai dengan semester 6.
REKOMENDASI DECK HERO PADA GAME CLASH ROYAL MENGGUNAKAN METODE NAÏVE BAYES
Authors: Zulkarnein Iskandar , Lusiana Veronica
Published: August 2022

Penelitian ini adalah studi tentang game Clash Royal yang di rilis pada tahun 2016 dan sampai saat ini masih popular dimainkan dari berbagai kalangan di Indonesia bahkan dunia. Clash Royal adalah sebuah game yang menggabungkan sebuah permainan RTS (Real Time Strategy), MOBA (Multiplayer Battle Arena), dan sebuah permainan kartu. Game ini dapat dimainkan oleh 2 pemain dan kedua pemain bertarung untuk saling mempertahankan benteng atau base masing-masing. Ada beberapa faktor yang bisa memenangkan pertandingan yaitu dengan menyusun deck atau kartu sebelum memulai pertandingan sehingga perlu adanya rekomendasi pemilihan deck hero untuk dijadikan panduan agar dapat memilih deck hero yang tepat untuk memenangkan pertandingan. Penggunaan metode naïve bayes merupakan metode yang tepat dikarenakan metode ini hanya memerlukan sejumlah data untuk mengestimasi parameter yang dibutuhkan untuk klasifikasi. Data yang digunakan diambil dari hasil pertandingan turnamen yang ada pada game Clash Royal. Metode naïve bayes ini membutuhkan jumlah data pelatihan kecil untuk mengestimasi parameter yang diperlukan dalam proses pengklasifikasian. Dengan adanya sistem ini pengguna dapat rekomendasi dalam hal pemilihan deck hero dengan nilai kemenangan tertinggi yang dihitung menggunakan metode Naïve Bayes.
Sistem Pakar Mendeteksi Kerusakan pada Air Conditioner (AC) di CV. Netral Service dengan Menggunakan Metode Certainty Factor
Authors: Bazikho Dearni Nofrianis , Manurung Immanuel H G , Sitanggang Rianto
Published: August 2022

Penggunaan AC (Air Conditioner) pada zaman sekarang ini semakin dibutuhkan. Hal ini ditandai dengan hampir semua masyarakat memasangnya baik untuk ruangan kantor maupun di rumah. Sistem pakar merupakan salah satu bidang ilmu dalam kecerdasan buatan yang sering diminati  karena implementasinya terdapat dibeberapa bidang ilmu pengetahuan maupun bisnis terbukti sangat membantu dalam pengambilan keputusan dan sangan luas pengimplementasiannya. Hasil dari perhitungan ini akan digunakan dalam proses perhitungan kombinasi Certainty Factor berdasarkan gejala (evidence) yang berbeda namun memiliki hipotesis yang sama. Proses penarikan kesimpulan dalam mengidentifikasi kerusakan pada Air Conditioner diperoleh dari nilai tertinggi hasil perhitungan metode Certainty Factor berdasarkan gejala-gejala yang terjadi. Aplikasi yang dibuat dapat memudahkan para pengguna dalam mendeteksi kerusakan Air Conditioner. Aplikasi yang telah dibuat dapat memberi informasi dalam mendeteksi awal kerusakan pada Air Conditioner . Perancangan aplikasi yang dibuat mengadopsi metode Certainty Factor dalam membantu dalam pengambilan keputusan.
Ospemifene (Osphena)
Authors: CADTH
Published: August 2022

CADTH reimbursement reviews are comprehensive assessments of the clinical effectiveness and cost-effectiveness, as well as patient and clinician perspectives, of a drug or drug class.

The assessments inform non-binding recommendations that help guide the reimbursement decisions of Canada's federal, provincial, and territorial governments, with the exception of Quebec.

This review assesses Ospemifene (Osphena), 60 mg tablets for oral administration.

Indication: Indicated in post-menopausal women for the treatment of moderate to severe dyspareunia and/or vaginal dryness, symptoms of vulvar and vaginal atrophy, a component of genitourinary syndrome of menopause.
Coronavirus (2019-nCoV): Diagnostic approaches, vaccines and ongoing clinical trials.
Authors: Ait Si Bihi Youness , Lahkim Mohamed , Belmouden Ahmed
Published: August 2022

Background: The new Covid-19 pandemic, first discovered in Wuhan, China, which belongs to the same family of the previous virus that affected the Middle East in 2012 MERS-1, is characterized by its speed of spread and transition which was uncontrolled in the early stages of its appearance. It rapidly affected the whole world and negatively influenced the global healthcare system as well as the international economy. In this article we aimed to present the tests used for the diagnosis of this disease,  trials that are being developed for the synthesis of a vaccine against this pandemic, and also some ongoing clinical trials that are looking at treatments against COVID-19.  Methods: Extensive database searches were performed. The selection of articles was carried out according to the type of study. Results:  Clinical studies gave satisfactory therapeutic results.  COVID-19 vaccines could prevent its transmission and reduce its spread, especially for susceptible populations. Ongoing therapies may have an effective effect in inhibiting or reducing the effects of this virus. Conclusion: research is focused on developing an effective vaccine to sustain immunization over the long term. on the other hand treatments are developed to avoid the complications of the disease.
Keywords: SARS-2, diagnostics, vaccine, clinical trials, MERS-1, treatment, COVID-19.
Meta-analysis of association between c.963A>G single-nucleotide polymorphism on BMP15 gene and litter size in goats
Authors: Zergani Emel , Rashidi Amir , Rostamzadeh Jalal , Razmkabir Mohammad , Tetens Jens
Published: August 2022

Abstract. Litter size is an important economic trait in the goat industry. Previous
studies on the bone morphogenetic protein 15 (BMP15) gene detected some single-nucleotide polymorphisms (SNPs) such as c.963A>G that
were associated with an increase in ovulation rate and litter size. The aim
of this study was to conduct a meta-analysis on the effect of this
polymorphism on litter size. We gathered and pooled data from five eligible
published studies. To investigate the effect of c.963A>G on
litter size, we utilized four different genetic models assuming dominant
(GG + GA vs. AA), recessive (GG vs. GA + AA), additive (GG vs. AA) and
co-dominant (GG + AA vs. GA) model of inheritance. Data were analyzed under
random-effects models based on the I2 value. Furthermore, sensitivity
analysis was carried out to validate the stability of results. The results
showed that the c.963A>G polymorphism is associated with litter
size when applying a dominant model (standardized mean difference (SMD) is 0.815, 95 % CI [0.170,
1.461], P value = 0.013) and also with an additive model (SMD = 0.755, 95 % CI [0.111, 1.400], P value = 0.022). However, the effect of c.963A>G
polymorphism was not significant under recessive (SMD = 0.186, 95 % CI [−0.195, 4.259], P value = 0.339) and co-dominant (SMD = −0.119, 95 % CI [−0.525, 0.288], P value = 0.568) models. Sensitivity analysis demonstrated
that dropping studies with wide confidence intervals affects overall results
under the assumption of an additive model. The meta-analysis results revealed
that the AA genotype could be positively connected with litter size in goats.
Elucidate the Formation Mechanism of Particulate Nitrate Based on Direct Radical Observations in Yangtze River Delta summer 2019
Authors: Zhai Tianyu , Lu Keding , Wang Haichao , Lou Shengrong , Chen Xiaorui , Hu Renzhi , Zhang Yuanhang
Published: August 2022

Abstract. Particulate nitrate (NO3-) is the one of the dominant components of fine particles in China, especially during pollution episodes, and has a significant impact on human health, air quality and climate. Here a comprehensive field campaign which focus on the atmospheric oxidation capacity and aerosol formation, and their effects in Yangtze River Delta (YRD) had been conducted from May to June, 2019 at a regional site in Changzhou, Jiangsu province in China. The concentration of NO3-, OH radical, N2O5, NO2, O3 and relevant parameters were measured simultaneously. We showed a high NO3- mass concentration with 10.6 ± 8.9 μg m-3 on average, which accounted for 38.3 % of water-soluble components and 32.0 % total PM2.5, and followed by the proportion of sulfate, ammonium and chloride by 26.0 %, 18.0 % and 2.0 %, respectively. This result confirmed the heavy nitrate pollution in eastern China not only happened in winter but also summer time. High nitrate oxidation ratio (NOR) during this study emphasizes the fast nitrate formation capacity in YRD. It is found that OH + NO2 at daytime dominates nitrate formation on clean days while N2O5 hydrolysis largely enhanced and become comparable with that of OH + O2 during polluted days (47.1 % and 52.9 %). An updated observed-constrain Empirical Kinetic Modeling Approach (EKMA) was used to assess the kinetic controlling factors of both local O3 and NO3- productions, which indicated that O3-targeting scheme (VOCs: NOx = 2:1) is effective to mitigate the O3 and nitrate pollution coordinately during summertime in this region. Our results promote the understanding of nitrate pollution mechanisms and mitigation based on field observation and model simulation, and call for more attentions to nitrate pollutions in summertime.
Disentangling the impact of air–sea interaction and boundary layer cloud formation on stable water isotope signals in the warm sector of a Southern Ocean cyclone
Authors: Thurnherr Iris , Aemisegger Franziska
Published: August 2022

Abstract. Stable water isotopes in marine boundary layer water vapour are strongly influenced by the strength of air–sea fluxes. Air–sea fluxes in the extratropics are modulated by the large-scale atmospheric flow, for instance by the advection of warm and moist air masses in the warm sector of extratropical cyclones. A distinct isotopic composition of the water vapour in the latter environment has been observed over the Southern Ocean during the 2016/2017 Antarctic Circumnavigation Expedition (ACE). Most prominently, the secondary isotope variable deuterium excess (d=δ2H–8⋅δ18O) shows negative values in the cyclones’ warm sector. In this study, three mechanisms are proposed and evaluated to explain these observed negative d values. We present three single-process air parcel models, which simulate the evolution of δ2H, δ18O, d and specific humidity in an air parcel induced by decreasing ocean evaporation, dew deposition and upstream cloud formation. Simulations with the isotope-enabled numerical weather prediction model COSMOiso, which have previously been validated using observations from the ACE campaign, are used to (i) validate the air parcel models, (ii) quantify the relevance of the three processes for stable water isotopes in the warm sector of the investigated extratropical cyclone and (iii) study the extent of non-linear interactions between the different processes. This analysis shows that we are able to simulate the evolution of d during the air parcel's transport in a realistic way with the mechanistic approach of using single-process air parcel models. Most importantly, we find that decreasing ocean evaporation and dew deposition lead to the strongest d decrease in near-surface water vapour in the warm sector and that upstream cloud formation plays a minor role. By analysing COSMOiso backward trajectories we show that the persistent low d values observed in the warm sector of extratropical cyclones are not a result of material conservation of low d. Instead, the latter Eulerian feature is sustained by the continuous production of low d values due to air–sea interactions in new air parcels entering the warm sector. These results improve our understanding of the relative importance of air–sea interaction and boundary layer cloud formation on the stable water isotope variability of near-surface marine boundary layer water vapour. To elucidate the role of hydrometeor–vapour interactions for the stable water isotope variability in the upper parts of the marine boundary layer, future studies should focus on high-resolution vertical isotope profiles.
Estimating global ammonia (NH3) emissions based on IASI observations from 2008 to 2018
Authors: Luo Zhenqi , Zhang Yuzhong , Chen Wei , Van Damme Martin , Coheur Pierre-François , Clarisse Lieven
Published: August 2022

Abstract. Emissions of ammonia (NH3) to the atmosphere impact human
health, climate, and ecosystems via their critical contributions to
secondary aerosol formation. However, the estimation of NH3 emissions is associated
with large uncertainties because of inadequate knowledge about agricultural
sources. Here, we use satellite observations from the Infrared Atmospheric
Sounding Interferometer (IASI) and simulations from the GEOS-Chem model to
constrain global NH3 emissions over the period from 2008 to 2018. We update
the prior NH3 emission fluxes with the ratio between biases in
simulated NH3 concentrations and effective NH3 lifetimes against
the loss of the NHx family. In contrast to the approximate factor of 2
discrepancies between top-down and bottom-up emissions found in previous
studies, our method results in a global land NH3 emission of 78 (70–92) Tg a−1, which is ∼30 % higher than the bottom-up estimates.
Regionally, we find that the bottom-up inventory underestimates NH3
emissions over South America and tropical Africa by 60 %–70 %, indicating
underrepresentation of agricultural sources in these regions. We find a
good agreement within 10 % between bottom-up and top-down estimates over
the US, Europe, and eastern China. Our results also show significant
increases in NH3 emissions over India (13 % per decade), tropical
Africa (33 % per decade), and South America (18 % per decade)
during our study period, which is consistent with the intensifying agricultural
activity in these regions in the past decade. We find that the inclusion of the
sulfur dioxide (SO2) column observed by satellite is crucial for more
accurate inference of NH3 emission trends over important source regions
such as India and China where SO2 emissions have changed rapidly in
recent years.
Biomarker characterization of the North Water Polynya, Baffin Bay: Implications for local sea ice and temperature proxies
Authors: Harning David J. , Holman Brooke , Woelders Lineke , Jennings Anne E. , Sepúlveda Julio
Published: August 2022

Abstract. The North Water Polynya (NOW, Greenlandic Inuit: Pikialasorsuaq), Baffin Bay, is the largest polynya and one of the most productive regions in the Arctic. This area of thin to absent sea ice is a critical moisture source for local ice sheet sustenance and coupled with the inflow of nutrient-rich Arctic Surface Water, supports a diverse community of Arctic fauna and indigenous people. Although paleoceanographic records can provide critical insight into the NOW’s past behavior, it is critical that we better understand the modern functionality of paleoceanographic proxies. In this study, we analyzed lipid biomarkers, including algal highly-branched isoprenoids and sterols for sea ice extent and pelagic productivity, and archaeal GDGTs for ocean temperature, in a suite of modern surface sediment samples from within and around the NOW. Our data show that all highly-branched isoprenoids exhibit strong correlations with each other and show highest concentrations within the NOW, which suggests a spring/autumn sea ice diatom source rather than a combination of sea ice and open water diatoms as seen elsewhere in the Arctic. Sterols are also highly concentrated in the NOW and exhibit an order of magnitude higher concentration here compared to sites south of the NOW, consistent with the order of magnitude higher primary productivity observed within the NOW relative to surrounding waters in spring/summer months. Finally, our temperature calibrations for GDGTs and OH-GDGTs reduce the uncertainty present in global temperature calibrations, but also identify some additional variables that may be important in controlling their local distribution, such as nutrient availability and dissolved oxygen. Collectively, our datasets provide new insight into the utility of these lipid biomarker proxies in high-latitude settings and will help provide a refined perspective on the Holocene development of the NOW with their application in downcore reconstructions.