bluuebunny/crossref_metadata_2025 huggingface dataset:
Penentuan Uang Kuliah Tunggal Mahasiswa Universitas Negeri Gorontalo Berbasis Logika Fuzzy
Authors: Ridwan Wrastawa , Wiranto Ifan , Azzahra Luthfiani , Lakoro Fitriani
Published: May 2022

Uang Kuliah Tunggal (UKT) adalah biaya yang yang dikenakan kepada setiap mahasiswa  untuk digunakan dalam proses pembelajaran, yang diberlakukan sejak tahun 2013. Universitas Negeri Gorontalo (UNG) pada awalnya menggunakan metode wawancara dengan mahasiswa untuk menentukan UKT. Namun kendalanya adalah jika banyak mahasiswa yang akan diwawancara akan berpengaruh pada ketelitian akibat faktor kelelahan pewawancara. Selanjutnya UNG menentukan besaran UKT mahasiswa didasarkan pada jumlah penghasilan orang tua. Pada penelitian ini telah dirancang Sistem Pendukung Keputusan (SPK) berbasis logika fuzzy untuk menentukan besaran UKT mahasiswa. Terdapat tiga input sistem fuzzy, yaitu penghasilan orang tua (empat level), jumlah tanggungan (tiga level) dan jumlah rekening air, listrik, internet (tiga level) dan satu output yaitu besaran UKT mahasiswa (delapan level). Aturan JIKA-MAKA sejumlah 36 aturan. Digunakan tiga input (tidak hanya penghasilan orang tua), sehingga hasil penentuan UKT lebih adil. Proses defuzifikasi menggunakan centroid. Dalam simulasi, data uji diambil sebanyak 25 mahasiswa angkatan 2020. Hasil simulasi menunjukkan tingkat akurasi model fuzzy yang dirancang sebesar 76%, yang artinya terdapat 19 UKT mahasiswa yang tepat sama dengan UKT sebenarnya.Uang Kuliah Tunggal (UKT) is a fee charged to each student to be used in the learning process, which has been in effect since 2013. Universitas Negeri Gorontalo (UNG) initially used the interview method with students to determine UKT. However, the obstacle is that if many students will be interviewed, it will affect the accuracy due to the interviewer's fatigue factor. Furthermore, UNG determines the amount of student’s UKT based on the amount of income of the parents. In this study, a Decision Support System (DSS) based on fuzzy logic has been designed to determine the amount of student’s UKT. There are three fuzzy system inputs, namely parents' income (four levels), number of dependents (three levels) and the number of water, electricity, internet billS (three levels) and one output, namely the amount of student’S UKT (eight levels). The IF-THEN rule totals 36 rules. Three inputs are used (not only parents' income), so that the results of determining the UKT are fairer. The defuzification process uses the center of gravity. In the simulation, test data were taken from 25 students of class 2020. The simulation results showed that the accuracy rate of the fuzzy model designed was 76%, which means that there were 19 student UKTs that were exactly the same as the actual UKT.
Perencanaan dan Studi Kelayakan PLTS Rooftop pada Gedung Fakultas Teknik UNG
Authors: Rafli Rafli , Ilham Jumiati , Salim Sardi
Published: May 2022

Sebagian besar pembangkit tenaga listrik terpasang di Indonesia saat ini masih didominasi oleh pembangkit listrik berbahan bakar fosil. Penggunaan bahan bakar fosil secara terus menerus dapat menyebabkan kerusakan lingkungan semakin bertambah. Oleh karena itu, untuk mengurangi penggunaan bahan bakar fosil, perlu dikembangkan pembangkit listrik dari sumber energi terbarukan, salah satunya pembangkit listrik tenaga surya (PLTS). Tujuan penelitian ini ialah merencanakan PLTS rooftop pada gedung C2 Fakultas Teknik Universitas Negeri Gorontalo serta menganalisis kelayakannya dari aspek teknis dan ekonomis. Perencanaan PLTS rooftop pada penelitian ini terdiri dari tahap desain teknis dengan parameter akhir yang diharapkan ialah nilai performance ratio (PR) yang lebih besar dari 60% dan analisa kelayakan ekonomis menggunakan tiga metode analisis yakni, net present value (NPV), benefit cost ratio (BCR) dan payback period (PP). Dasar perhitunan dalam analisis ketiga metode tersebut menggunakan tarif listrik LWBP Rp735.00/kWh dan cost of energi (COE) Rp1,261.26/kWh. Hasil desain teknis diperoleh nilai PR sebesar 70% dan dari segi ekonomi dengan dasar perhitungan tarif LWBP diperoleh nilai NPV Rp(1,266,891,940.59), BCR 0,97 dan PP 26,1 tahun. Sedangkan dengan dasar perhitungan COE, diperoleh nilai NPV Rp488,730,414.17, BCR 1,77 dan PP 12,17 tahun. Kesimpulan akhir yang diperoleh berdasarkan hasil penelitian yang telah dilakukan ialah bahwa sistem PLTS yang direncanakan layak (feasible) untuk diwujudkan.Most of the currently installed power plants in Indonesia are still dominated by fossil fuel power plants. The continuous use of fossil fuels can cause increasing environmental damage. Therefore, to reduce the use of fossil fuels, it is necessary to develop power plants from renewable energy sources, one of which is solar power plants (PLTS). This study aims to plan a rooftop solar power plant in the C2 building of Faculty of Engineering, State University of Gorontalo, as well as to analyze its feasibility from technical and economic aspects. The PLTS rooftop planning in this study consisted of a technical design stage with the final parameter expected to be a performance ratio (PR) value greater than 60%. Economic feasibility analysis uses there methods, including net present value (NPV), benefit cost ratio BCR) and payback period (PP). The basis of calculation un the analysis of the three methods uses the LWBP electricity tariff of IDR 735,00/kWh and the cost of energy (COE) of IDR 1.261,26/kWh. The result of the technical design obtains a PR value of 70%. In terms of economy, based on the calculation of the LWBP tariff, it obtains the NPV of IDR (1.266.891.940,59), BCR of 0.97 and PP of 16.1 years. Meanwhile, based on the COE calculation, it obtains the NPV of IDR 488.730.414,17, BCR of 1.77 and PP of 12,17 years. Based on the findings, it can be concluded that the planned PLTS system is feasible to be realized.
Implementasi Algoritma SLAM pada Prototipe Robot Pemotong Rumput (Lawn Mower) menggunakan Raspberry Pi
Authors: Manalu Istas Pratomo , Butarbutar Putra Bakti , Sigalingging Febriend B.R.C
Published: May 2022

Pemotongan rumput secara manual masih sering dilakukan oleh sebagian pemilik pekarangan atau ladang rumput yang luas sehingga menimbulkan kebosanan dan kelelahan. Kegiatan pemotongan rumput ini juga membutuhkan banyak waktu dan tenaga. Salah satu penemuan mesin pemotong rumput adalah mesin pemotong rumput gendong. Penemuan ini juga memiliki beberapa kelemahan seperti menimbulkan polusi udara dan suara yang sangat mengganggu masyarakat sekitar. Selain itu pemotongan manual ini juga merupakan pekerjaan yang monoton dan berbahaya. Robot pemotong rumput juga telah diperkenalkan dan tentunya memiliki biaya yang tinggi. Oleh karena itu, dalam penelitian ini kami berhasil membuat prototipe mesin pemotong rumput yang lebih ekonomis dari segi biaya, energi, dan polusi dengan memanfaatkan Raspberry Pi 3 sebagai mikrokontroler. Prototipe dirancang dengan panjang 24,5 cm dan lebar 22 cm serta dilengkapi dengan pisau mekanik pada bagian depan yang memiliki arah putaran ke bawah. Prototipe ini juga dilengkapi dengan sensor Infrared yang dapat mendeteksi pembatas area untuk menghindari tabrakan. Area pengujian adalah 2x2 meter tanpa hambatan di dalamnya. Jalur pemotongan telah ditentukan menggunakan algoritma SLAM dimana robot memotong rumput dengan jalur berbentuk S. Kami menunjukkan bahwa robot berjalan sesuai dengan algoritma dan memotong rumput dengan sempurna.Manual grass cutting is still often done by some owners of large yards or fields which causes boredom and fatigue. This activity also requires a lot of time and effort. One of the inventions of the lawnmower is the carrying grass cutting the machine. This invention also has several drawbacks such as causing air pollution and noise which is very disturbing to the surrounding community, monotonous and dangerous work. The lawnmower robot has also been introduced with various programs set in it and of course, has a high cost. Therefore, in this research, we succeeded in making a prototype lawn mower that is more economical in terms of cost, energy, and pollution by utilizing the Raspberry Pi 3 as a microcontroller. The prototype is designed with a length of 24.5 cm and a width of 22 cm and is equipped with a mechanical knife on the front which has a downward rotation direction. The prototype is also equipped with an IR sensor that can detect area delimiters to avoid collisions. The test area is 2x2 meters without any obstacles in it. The mowing path has been determined using the SLAM algorithm wherein the robot cuts the grass in an S-shaped path. We show that the prototype robot runs according to the algorithm and cuts the grass perfectly. for further work it is necessary to apply a different algorithm that can detect any obstacles in the test area.
Prototipe Big Data Cluster Berbasis Mikrokontroller Untuk Edukasi.
Authors: Abdullah Riska Kurniyanto , Nugroho Bowo , Paninggalih Ramadhan
Published: May 2022

Pembangunan cluster untuk Big Data tidaklah murah, butuh standar tertentu untuk menghasilkan cluster Big Data yang baik. Pada Penelitian ini dibuat suatu Prototipe Big Data cluster berbasis mikrokontroller yang bertujuan untuk merumuskan langkah-langkah penting dalam pembuatan cluster Big Data dan secara khusus. Hal ini dapat digunakan untuk keperluan edukasi untuk proses pembelajaran konsep – konsep dari Big Data. Sarana untuk belajar dan latihan implementasi konsep Big Data yang ingin kami tekankan ini yaitu sebagai tools (alat bantu) untuk mendukung dari perwujudan ekosistem pendidikan yang lebih baik khususnya untuk mikrokontroller dan big data processing. Metode yang digunakan pada penelitian ini yaitu dengan cara melaksanakan eksperimen prototipe untuk mendapatkan langkah yang tepat dalam membangun lingkungan Big Data yang sesuai. Selain itu terlibat juga metode perancangan sistem untuk merancang Prototipenya terlebih dahulu. Tahapan dari penelitian yaitu di mulai dari proses studi literatur, kemudian proses rancangan, lalu evaluasi proses rancangan kemudian setelah itu dilakukan proses implementasi hardware dan software. Setelah selesai implementasi hardware dan software dua langkah terakhir yaitu proses analisis performa. Hasil dari penelitian menunjukkan performa big data cluster yang dibuat dari 5 perangkat raspberry pi dibandingkan dengan satu buah laptop dengan software big data yang sama yaitu hadoop dan spark performa yaitu terdapat perbandingan yang sangat jauh di mana jika di ketika task eksekusi di laptop lebih cepat hingga 8,5 kali di performa HDFS, sedangkan untuk waktu eksekusi CPU lebih singkat hingga 7 kali dibandingkan dengan Protoype ini. Hal ini menunjukkan untuk mendekati performa sesuai dengan standar lab big data, maka dibutuhkan lebih banyak lagi perangkat raspberry pi.
Clustering Tingkat Pemahaman Mahasiswa Pada Perkuliahan Probabilitas Statistika Dengan Metode K-Means
Authors: Ishak Rezqiwati , Bengnga Amiruddin
Published: May 2022

Probabilitas Statistik merupakan mata kuliah logika perhitungan dimana sebagian Mahasiswa merasa kesulitan dalam penerimaan materi sehingga bagi Dosen pengampu mata kuliah hal ini merupakann suatu permasalahan dalam pemberian materi disebabkan tingkat pemahaman Mahasiswa yang tidak merata, hal ini tentunya akan berdampak pada sasaran dan tujuan pembelajaran yang tidak bisa tercapai sesuai Rencana Pembelajaran Semester. Tujuan penelitian ini adalah untuk melakukan pengelompokan atau clustering tingkat pemahaman Mahasiswa berdasarkan nilai mata kuliah prasyarat yaitu Kalkulus dan Matematika Diskrit. Metode yang digunakan yaitu K-Means untuk Clustering dan Elbow untuk menentukan jumlah cluster yang optimum. Berdasarkan hasil penelitian didapatkan hasil sebanyak 3 cluster, dimana cluster 1 adalah kelompok Mahasiswa yang tingkat pemahamannya digolongkan kategori Baik, Cluster 2 adalah kelompok kategori Sangat Baik dan Cluster 3 adalah kategori Kurang. Dari 110 Mahasiswa yang dijadikan sebagai dataset, masing-masing diperoleh untuk cluster 1 sebanyak 30 Mahasiswa, cluster 2 sebanyak 58 Mahasiswa dan cluster 3 sebanyak 22 Mahasiswa. Mahasiswa yang masuk pada cluster 3 perlu dilakukan tambahan perkuliahan sebelum mereka mengikuti mata kuliah Probabilitas Statistik agar capaian pembelajaran dapat dicapai, dengan demikian metode K-Means dan metode Elbow sangat cocok digunakan untuk melakukan clustering karena metode ini bisa didapatkan hasil clustering yang optimal
Aplikasi Prediksi Harga Jahe Merah Metode Time Series Autoregressive Integrated Moving Average
Authors: Sulaehani Ruhmi , Bahrin Bahrin
Published: May 2022

Harga jahe merah naik secara signifikn sebelum wabah Covid-19 harga jahe di pasaran normal berkisar Rp.20.000/kg, tapi selama pandemi harga jahe merah naik secara signifikan. Harga naik secara signifikan tanpa pemberitahuan sebelumnya terjadi karena permintaan yang sangat melonjak baik dalam wilayah Kabupaten Pohuwato maupun diluar wilayah Kabupaten Pohuwato. Tujuan Penelitian ini yaitu membantu pemerintah memprediksi harga jahe merah dipasaran dalam kurung waktu tertentu dengan membuat aplikasi prediksi berbasis Web, bahasa pemrograman PHP dan untuk menganalisis digunakan aplikasi software Statistik R, metode yang digunakan yaitu Time series model ARIMA. Berdasarkan nilai aktual dan nilai hasil prediksi harga jahe merah yang diperoleh, pada model ARIMA didapatkan nilai AIC dengan model terbaik adalah -3048,61, yang merupakan nilai minimun. Aplikasi yang dibuat dapat membantu masyarakat dan pemerintah setempat mendapatkan info perkiraan atau prediksi harga jahe merah dimasa depan. Hasil prediksi harga jahe merah memperlihatkan harga jahe merah turun di bulan Juni yaitu sebesar Rp. 21.932/kgThe price of red ginger had increased significantly. Before the Covid-19 outbreak the price of red ginger on the market was normal. It was around Rp. 20.000/kg but during the pandemic the price of the red ginger increased significantly without any prior notification due to the red ginger was in demand both inside and outside the Pohuwato Regency. The purpose of this research is to help the Government control the prices in the market and to help the public society to get fast information about the estimation of the future prices during the particular time by creating a web-based prediction application using the PHP Programming Language and Data Analysis using the R Statistical Software Application. The research merhod used is the ARIMA time series model based on the actual value and predicted value of the red ginger prices obtained. There is an AIC value in the ARIMA model. The best model is -3048.61 the best model has the minimum AIC value. The application created is able to help the community and local government to get information on the estimated prices of the red ginger in the future. The results of the estimated prices of the red ginger showed the prices decreased in june by Rp. 21.932/kg.
SPORT CENTRE UNIVERSITAS NEGERI GORONTALO DENGAN PENDEKATAN ARSITEKTUR MODERN
Authors: Pujianto Syafly Adenan , Syukri Muhammad Rijal , Arifin Sri Sutarni
Published: May 2022

Sport Centre Universitas Negeri Gorontalo merupakan suatu bangunan yang menjadi pusat dan wadah dari segala kegiatan olahraga yang efisien dan fungsional yang berarti benar-benar mampu mewadahi segala aktivitas penggunanya serta mampu memberikan kenyamanan pengguna baik dari segi fasilitas ataupun dari fasad bangunan. Tujuan dari penelitian ini adalah untuk memperoleh desain Sport Centre Universitas Negeri Gorontalo yang mampu meningkatkan kualitas pada bidang ilmu keolahragaan terkhusus bagi mahasiswa Universitas Negeri Gorontalo baik itu dari segi potensi, minat dan bakat maupun dari segi fisik dan  mental. Metode yang digunakan dalam penelitian ini adalah kompilasi data, dalam proses ini dilakukan pengumpulan data yang diperlukan dalam proses perancangan, pengambilan data dapat dilakukan dengan:observasi, referensi buku atau studi literatur, studi kasus objek pendekatan, dan media Internet yang berkaitan dengan objek penelitian. Langkah berikutnya yaitu proses analisa, hasil tinjauan dan analisa ini nantinya akan menjawab persoalan-persoalan pada rumusan permasalahan. Tahap analisa akan dikelompokan berdasarkan program fungsional, performansi, dan arsitektural. Sehingga dari hasil proses analisa ini akan menghasilkan konsep perencanaan dan perancangan arsitektur yang dijadikan sebagai bekal dalam mendesain. Proses hasil dari desain ini selanjutnya diterjemahkan kedalam desain gambar-gambar pra-rancangan arsitektur dalam bentuk sketsa dua dimensi/tiga dimensi. Tahapan berikutnya akan menghasilkan desain hasil akhir dari rancangan bangunan Sport Centre Universitas Negeri Gorontalo yang mengusung tema Arsitektur Modern sebagai konsep dasar utama dalam mengekspresikan pada fasad dan penataan massa bangunan Sport Centre yang dapat dimanfaatkan dengan baik dari segi fungsi
PENATAAN KAWASAN DANAU PERINTIS KABUPATEN BONE BOLANGO
Authors: Ibrahim Zulfikran , Syukri Muhammad Rijal , Saman Satar
Published: May 2022

Kawasan Wisata Danau Perintis merupakan kawasan yang terletak di ibukota kabupaten, ‎tidak secara ‎langsung menjadikan kawasan ini sebagai prioritas pembangunan. Namun ‎sampai dengan saat ini, ‎Kawasan Danau Perintis belum mendapat perhatian yang baik dan ‎sebagian besar masih dikelola secara ‎tradisional . Masih rendahnya kesadaran terhadap ‎pelestarian lingkungan sehingga dampak kerusakan ‎akibat kehadiran para pengunjung objek ‎wisata juga masih menjadi masalah. Selain itu, dampak ‎secara ekonomi dari pengembangan ‎destinasi wisata pada dasarnya masih sangat kecil bagi masyarakat ‎setempat. ‎Penelitian ini ‏bertujuan untuk menghasilkan desain kawasan Danau Perintis yang memiliki fungsi ‏konservasi‎, ‎edukasi dan rekreasi‎. ‎Metode yang digunakan dalam penelitian ini adalah desain ‏grafis ‏‎2 ‎dimensi dan ‏‎3 ‎dimensi berbasis analisis kawasan‎. ‎Melalui penelitian diperoleh hasil ‏desain berupa konsep sirkulasi‎, ‎fasilitas penunjang kawasan‎, ‎site plan dan zonasi kawasan ‏berdasarkan fungsinya‎.‎
DESAIN FAKULTAS KEDOKTERAN UNIVERSITAS NEGERI GORONTALO DENGAN ‎PENDEKATAN ARSITEKTUR BEHAVIOUR
Authors: Ahmad Kamaruddin , Syukri Muhammad Rijal , Saman Satar
Published: May 2022

Berdasarkan Standar Nasional Pendidikan Kedokteran yang ditetapkan oleh Kementerian Riset Teknologi dan Pendidikan Tinggi mensyarakatkan bahwa perguruan tinggi yang akan membuka program studi kedokteran wajib membentuk Fakultas Kedokteran. Universitas Negeri Gorontalo sejak tahun 2019 telah resmi membuka program studi kedokteran. Sebagai program studi yang baru terbentuk masih memerlukan banyak sarana dan prasarana termasuk gedung fakultas untuk mendukung proses belajar mengajar di lingkungan program studi kedokteran Universitas Negeri Gorontalo. Berdasarkan hal tersebut, maka penelitian ini disusun yang bertujuan untuk menghasilkan desain gedung Fakultas Kedokteran menggunakan pendekatan arsitektur behavior. Metode yang digunakan dalam penelitian ini adalah analisis data primer dan sekunder melalui hitungan matematis kebutuhan ruang pengguna bangunan dan proyeksi ke depan yang selanjutnya di analisis dalam bentuk konsep perancangan yang akan menghasilkan desain bagunan Fakultas Kedokteran. Konsep desain dititik beratkan pada fungsi dan perilaku pengguna bangunan yang dikuatkan dengan prinsip behaviour (privacy, personal space, dan teritorialitas).
RUMAH SAKIT JIWA DI KOTA GORONTALO DENGAN PENDEKATAN ARSITEKTUR BEHAVIOUR
Authors: Hilala Jefri , Trumansyahjaya Kalih , Arifin Sri Sutarni
Published: May 2022

Proyeksi pasien gangguan jiwa di Gorontalo dari tahun 2019 hingga 2028 meningkat dari angka 868 jiwa menjadi 969. Sementara untuk persyaratan rumah sakit jiwa jika telah mecapai angka (±) 500 jiwa maka daerah tersebut sudah harus mendirikan rumah sakit type A. Di Provinsi Gorontalo sendiri hingga saat ini belum memiliki rumah sakit jiwa yang layak untuk menampung pasien kejiwaan yang tersebar di wilayah Gorontalo. Rancangan jurnal ini di buat dengan maksud dapat diterapkannya proyeksi rumah sakit jiwa untuk menampung pasien hingga 10 tahun kedepan berdasarkan konsep arsitektur behavior dengan menggunakan medtode studi literatur dan metode survey lapangan. Berdasarkan konsep arsitektur behavior, maka dihasilkan sebuah desain rumah sakit jiwa yang sesuai dengan kebutuhan pasien akan fungsi kenyamanan dan fungsi pelayanan Kesehatan kejiwaan di Gorontalo
GORONTALO FUTSAL CENTER DENGAN PENDEKATAN ARSITEKTUR METAFORA
Authors: Pakaya Zulkifli , Saman Satar , Dunggio Moh. Faisal
Published: May 2022

Peraturan undang-undang Republik Indonesia no. 3 tahun 2005 tentang sistem pada keolahragaan Nasional dijabarkan bahwa olahraga adalah sesuatu segala kegiatan yang bersifat sistematis terpadu yang berkelanjutan yang meliputi pengaturan permainan, pembinaan, dengan mengembangkan potensi kesehatan secara jasmani, rohani maupun sosial. Oleh karena itu pemilihan Gorontalo sebagai lokasi futsal center yaitu mengembangkan serta meningkatkan eksistensi dan citra futsal haruslah dibarengi dengan sarana fasilitas sesuai standar nasional maupun internasional dengan mengacuh pada perarturan Menteri Pemuda Dan Olahraga sebagai sarana untuk pertunjukan permainan futsal dalam bentuk pertandingan resmi maupun event yang dapat memberikan prestasi bagi peminat olahraga futsal. Gorontalo sendiri sudah mempunyai beberapa tim futsal yang mengikuti liga futsal nusantara sejak dari tahun 2017 sampai dengan sekarang. Keterkaitan antara pembangunan futsal center dengan konsep rancangan arsitektur metafora, yaitu penulis memerlukan adanya suatu gebrakan atau terobosan baru pada bangunan olahraga yang memiliki failitas-fasilitas standar dengan bertarap local maupun nasional sehingga nantinya bisa dipadukan secara logis atau unik.
A cross-sectional survival analysis regression model with applications to consumer credit risk
Authors: Marimo Mercy , Malwandla Musa Clive , Breed Douw Gerbrand
Published: May 2022

When performing long-range survival estimations, longitudinal survival analysis methods such as Cox Proportional Hazards (PH) and accelerated lifetime models may produce estimates that are outdated. This paper introduces a cross-sectional survival analysis regression model for discrete-time survival analysis. The paper describes a number of variations to the model, including how the model can be used to model competing risks. The model is applied to a portfolio of defaulted loans to estimate the probability of loss. The model’s performance is benchmarked against the Cox PH model. Results show that cross-sectional survival analysis performs better than the conventional methods of survival. This is attributable to the fact that the cross-sectional survival method is able to use only the most recent survival information to inform predictions. Keywords: Competing risks, Logistic regression, Loss given default, Proportional hazards
Extended version of generalised Lindley distribution
Authors: Irshad M. R. , Maya R.
Published: May 2022

In this paper, we consider an extended version of the generalised Lindley distribution (EVGLD). Some mathematical properties of the EVGLD including moments, distribution of the order statistics, inequality measures, different entropy measures and vitality function are derived. The method of moments and method of maximum likelihood estimation are used to estimate the parameters. In addition to this, Fisher information matrix and asymptotic confidence interval are also included. Finally, two real life data sets are considered to illustrate the relevance of the new model and compared it with other forms of Lindley models. Keywords: Fisher information matrix, Havrda-Charvát-Tsallis entropy, Inequality measures, Lindley distribution, Maximum likelihood estimation, Residual entropy, Shannon’s entropy, Vitality function
A note on Brownian areas and arcsine laws
Authors: Swanepoel Jan W. H.
Published: May 2022

Firstly, we provide simple elementary proofs to derive the exact distributions of the areas under functions of a Brownian motion process and a Brownian bridge process. In the latter case, a solution is therefore provided to a question raised recently in the Mathematics community on StackExchange (http://math.stackexchange.com/questions/1006101). These random areas often occur in statistical applications and play an important role in, for example, financial mathematics. Comparisons are made between the variances of the two random areas, deriving interesting results that appear to be new in the statistical literature. Some illustrative examples are provided. Secondly, we derive a new arcsine law for a standard Brownian bridge process. Keywords: Arcsine law, Brownian bridge, Brownian motion, Gaussian process, Itô stochastic calculus
Bayesian control charts for tolerance limits in the case of normal populations
Authors: van Zyl R. , van der Merwe A. J.
Published: May 2022

By using air-lead data analysed by Krishnamoorthy and Mathew (2009) a Bayesian procedure is applied to obtain control limits for the upper one-sided tolerance limit. Reference and probability matching priors are derived for the pth quantile of a normal distribution. By simulating the predictive density of a future upper one-sided tolerance limit, "run-lengths" and average "run-lengths" are derived. In the second part of this paper control limits are derived for one-sided tolerance limits for the distribution of the difference between two normal random variables. This article illustrates the flexibility and unique features of the Bayesian simulation method for obtaining the posterior predictive distribution of a future one-sided tolerance limit. Keywords: Control charts, Probability-matching prior, Reference prior, Tolerance limits
Revealing the Mysteries of Venus: The DAVINCI Mission
Authors: Garvin James B. , Getty Stephanie A. , Arney Giada N. , Johnson Natasha M. , Kohler Erika , Schwer Kenneth O. , Sekerak Michael , Bartels Arlin , Saylor Richard S. , Elliott Vincent E. , Goodloe Colby S. , Garrison Matthew B. , Cottini Valeria , Izenberg Noam , Lorenz Ralph , Malespin Charles A. , Ravine Michael , Webster Christopher R. , Atkinson David H. , Aslam Shahid , Atreya Sushil , Bos Brent J. , Brinckerhoff William B. , Campbell Bruce , Crisp David , Filiberto Justin R. , Forget Francois , Gilmore Martha , Gorius Nicolas , Grinspoon David , Hofmann Amy E. , Kane Stephen R. , Kiefer Walter , Lebonnois Sebastien , Mahaffy Paul R. , Pavlov Alexander , Trainer Melissa , Zahnle Kevin J. , Zolotov Mikhail
Published: May 2022

The Deep Atmosphere Venus Investigation of Noble gases, Chemistry, and Imaging (DAVINCI) mission described herein has been selected for flight to Venus as part of the NASA Discovery Program. DAVINCI will be the first mission to Venus to incorporate science-driven flybys and an instrumented descent sphere into a unified architecture. The anticipated scientific outcome will be a new understanding of the atmosphere, surface, and evolutionary path of Venus as a possibly once-habitable planet and analog to hot terrestrial exoplanets. The primary mission design for DAVINCI as selected features a preferred launch in summer/fall 2029, two flybys in 2030, and descent-sphere atmospheric entry by the end of 2031. The in situ atmospheric descent phase subsequently delivers definitive chemical and isotopic composition of the Venus atmosphere during an atmospheric transect above Alpha Regio. These in situ investigations of the atmosphere and near-infrared (NIR) descent imaging of the surface will complement remote flyby observations of the dynamic atmosphere, cloud deck, and surface NIR emissivity. The overall mission yield will be at least 60 Gbits (compressed) new data about the atmosphere and near surface, as well as the first unique characterization of the deep atmosphere environment and chemistry, including trace gases, key stable isotopes, oxygen fugacity, constraints on local rock compositions, and topography of a tessera.
Les principaux enseignements du 6 e rapport du groupe I du GIEC
Authors: Salas y Mélia David
Published: May 2022

Le groupe I du GIEC (Groupe d’experts intergouvernemental sur l’évolution du climat) a publié, en août 2021, son 6 e rapport sur les bases scientifiques du changement climatique. Ce rapport réaffirme le fait que l’origine humaine des changements climatiques observés depuis la deuxième moitié du XIX e  siècle est sans équivoque, qu’il s’agisse du réchauffement mondial (+ 1,1°C), du recul des neiges et des glaces, de l’acidification des océans ou de la hausse du niveau marin. L’une des avancées majeures du rapport est de mettre en évidence l’influence humaine sur l’intensité et la fréquence de phénomènes extrêmes tels que les vagues de chaleur ou les fortes pluies. Les évolutions observées du climat vont se poursuivre – il est notamment acquis que la température du globe atteindra le seuil de 1,5°C d’ici à vingt ans –, mais elles peuvent encore être contenues si des actions fortes, rapides et durables de réduction des émissions de CO 2 sont menées.
Repenser l’eau à l’ère du changement climatique
Authors: Salles Denis
Published: May 2022

« Se préparer à vivre dans un monde différent », voilà ce à quoi semble nous astreindre le changement climatique. Le refus de céder au fatalisme de la collapsologie, tout comme aux désillusions de trente ans de promesses du développement durable, nous condamne à l’optimisme. « De l’eau pour la qualité de vie » plutôt que « de l’eau pour les usages », tel est le basculement en cours pour passer du référentiel extractiviste de l’eau, qui prévaut depuis l’ère industrielle, à une conception de l’eau comme « matrice » du vivant. Cette contribution explore les dimensions cognitives, les conflits d’intérêts, les visions du monde ainsi que les démarches de sciences de l’anticipation (scénarios, trajectoires) qui sont à même d’accélérer la transition sociale-écologique vers des futurs de l’eau souhaitables et justes.
“We Weathered the Storm”: A Qualitative Phenomenological Study of the Lived Experience of Assisted Living Administrators During the COVID-19 Pandemic
Authors: Hill Elizabeth , Bekker Paige , Strouse Susan M. , Davis Rebecca
Published: May 2022

The purpose of the current qualitative phenomenological study is to learn about the lived experiences of assisted living (AL) community administrators during the coronavirus disease 2019 (COVID-19) pandemic. Little is known about how administrators coped with the ever-changing mandates (e.g., visitation, testing, communal activities, acceptance of COVID-positive residents). Semi-structured interviews with AL administrators were conducted, transcribed verbatim, and analyzed for meaning and essence using a modified Giorgi's approach. Data analysis showed that administrators experienced a multitude of feelings and actions related to the well-being of staff, residents, and residents' families. Findings also identified the complexity of the constant changes, including limited resources and policy changes, of the AL administrators' lived experiences during the pandemic. Results from this study can inform policies and strategies for providing care to this often-overlooked population of older adults. [
Research in Gerontological Nursing, 15
(4), 164–171.]
A new method to construct model structures from left Frobenius pairs in extriangulated categories
Authors: Ma Yajun , Liu Haiyu , Geng Yuxian
Published: May 2022

Extriangulated categories were introduced by Nakaoka and Palu as a simultaneous generalization of exact categories and triangulated categories. In this paper, we first introduce the concept of left Frobenius pairs on an extriangulated category $ \mathcal{C} $, and then establish a bijective correspondence between left Frobenius pairs and certain cotorsion pairs in $ \mathcal{C} $. As an application, some new admissible model structures are established from left Frobenius pairs under certain conditions, which generalizes a result of Hu et al. (J. Algebra 551 (2020) 23–60).
Existence and stability of normalized solutions to the mixed dispersion nonlinear Schrödinger equations
Authors: Luo Haijun , Zhang Zhitao
Published: May 2022

We study the existence and orbital stability of normalized solutions of the biharmonic equation with the mixed dispersion and a general nonlinear term

   \begin{document}$ \begin{equation*} \gamma\Delta^2u-\beta\Delta u+\lambda u = f(u), \quad x\in\mathbb{R}^N \end{equation*} $\end{document}

with a priori prescribed $ L^2 $-norm constraint $ S_a: = \left\{u\in H^2(\mathbb{R}^N):\int_{\mathbb{R}^N}|u|^2dx = a\right\}, $ where $ a > 0 $, $ \gamma > 0, \beta\in\mathbb{R} $ and the nonlinear term $ f $ satisfies the suitable $ L^2 $-subcritical assumptions. When $ \beta\geq0 $, we prove that there exists a threshold value $ a_0\geq0 $ such that the equation above has a ground state solution which is orbitally stable if $ a > a_0 $ and has no ground state solution if $ a < a_0 $. However, for $ \beta < 0 $, this case is more involved. Under an additional assumption on $ f $, we get the similar results on the existence and orbital stability of ground state. Finally, we consider a specific nonlinearity $ f(u) = |u|^{p-2}u+\mu|u|^{q-2}u, 2 < q < p < 2+8/N, \mu < 0 $ under the case $ \beta < 0 $, which does not satisfy the additional assumption. And we use the example to show that the energy in the case $ \beta < 0 $ exhibits a more complicated nature than that of the case $ \beta\geq0 $.
Instantaneous smoothing and exponential decay of solutions for a degenerate evolution equation with application to Boltzmann's equation
Authors: Nazarov Fedor , Zumbrun Kevin
Published: May 2022

We establish an instantaneous smoothing property for decaying solutions on the half-line \begin{document}$ (0, +\infty) $\end{document} of certain degenerate Hilbert space-valued evolution equations arising in kinetic theory, including in particular the steady Boltzmann equation. Our results answer the two main open problems posed by Pogan and Zumbrun in their treatment of \begin{document}$ H^1 $\end{document} stable manifolds of such equations, showing that \begin{document}$ L^2_{loc} $\end{document} solutions that remain sufficiently small in \begin{document}$ L^\infty $\end{document} (i) decay exponentially, and (ii) are \begin{document}$ C^\infty $\end{document} for \begin{document}$ t>0 $\end{document}, hence lie eventually in the \begin{document}$ H^1 $\end{document} stable manifold constructed by Pogan and Zumbrun.
Some fractional integral inequalities via $ h $-Godunova-Levin preinvex function
Authors: Ali Sabila , Ali Rana Safdar , Vivas-Cortez Miguel , Mubeen Shahid , Rahman Gauhar , Nisar Kottakkaran Sooppy
Published: May 2022

In recent years, integral inequalities are investigated due to their extensive applications in several domains. The aim of the paper is to investigate certain new fractional integral inequalities which include Hermite-Hadamard inequality and different forms of trapezoid type inequalities related to Hermite-Hadamard inequality for $ h $-Godunova-Levin preinvex function. Moreover, we compare our obtained results with the existing work in the literature and are represented by corollaries.
Navalismo y panhispanismo como horizontes de regeneración imperial en España (1814-1862)
Authors: Escribano Roca Rodrigo , Guerrero Oñate Pablo
Published: May 2022

El artículo analiza cómo, entre las décadas de 1810 y 1860, una serie de intelectuales españoles vinculados a la toma de decisiones ministeriales y a la Real Armada identificaron la modernización y expansión de la marina de guerra como la clave para la regeneración transatlántica del poder geopolítico de España. Este navalismo español, inspirado en la interpretación pesimista del pasado imperial y en la emulación del modelo británico, se imbricó con el programa ideológico del panhispanismo y motivó políticas de rearme naval que culminaron con la organización de la Escuadra del Pacífico en 1862.
The Development of Digital Competence of Future Teachers in the Process of Distance Learning
Authors: Fursykova Tetiana , Habelko Olena , Chernii Valentyna
Published: May 2022

The article digital competence is considered, on the one hand, as a component of professional competence, and on the other – as a level of personal digital culture. The structure of the studied phenomenon defines the motivational component (motivation to use digital technologies in professional activities, focus on collective interaction, the desire to succeed through the possession of information technology); cognitive component (level of knowledge on the application of digital technologies in professional activities); activity component (skills and abilities to use digital technologies for the organization of educational activities and solving professional problems); personal component (ability to self-study, professional self-development in a digital society).
The pedagogical conditions for the development of digital competence of future teachers are substantiated: creation and maintenance of the digital environment of a higher education institution; activation of independent educational and cognitive activity of students by means of information and communication technologies; actualization of innovative directions and technologies of development of digital competence of future teachers in distance learning. The research was conducted with the students of the first (bachelor's) level of higher pedagogical education. The results of diagnostic sections have been generalized, statistical analysis of which testifies to the effectiveness of the developed system of development of digital competence of future teachers.
Visualization of Culture Using Computer Technologies
Authors: Petrova Iryna , Sabadash Julia , Pavlova Olena , Haidukevych Kateryna , Oborska Svitlana , Polishchuk Lіudmyla
Published: May 2022

The modern world includes many technologies, without which it is already quite challenging to imagine our life. Every day we receive information through the visual perception of reality; images of objects are built through various images in our head. After that, a whole system of concepts, knowledge, and ideas about the world is formed. The constantly changing environment of our time, endlessly replaced by images that are prepared in the form of images by our consciousness, is a multimedia sphere consisting of useful information, various video sequences, animated computer graphics and the Internet.

In their research, the authors set the task to study the phenomenon and directions of visualization of culture using computer technology. For this, the authors analyzed the theoretical and methodological basis, which allowed them to put forward 3 hypotheses. Further, the authors conducted several studies from 04.2019-10.2020. As a result of which 2 hypotheses were confirmed, one was refuted, showing the importance and necessity of visualizing culture through computer technologies.
The Effect of Student and Peer Assessment Engagement on Learning Performance in Online Open Courses
Authors: Ma Muchen , Luo Chaoxing
Published: May 2022

A large number of online education platforms in China has greatly facilitated the development of online education by allowing people to access quality educational resources at all times. Enhancing student engagement can effectively realize their learning efficiency and improve the overall learning process performance and final learning performance. Peer assessment generally requires learners to engage in a range of cognitive activities, such as critical thinking, monitoring, and reflecting, and has a positive and significant contribution to learning performance. In this study, an argumentative model of student engagement affecting learning performance was constructed, and the role of peer assessment engagement as a moderating variable in student engagement involving learning performance was analyzed. Results show that behavioral engagement and cognitive engagement can significantly contribute to learning performance. Peer assessment plays a moderating role in learning engagement, significantly contributing to learning performance. The average value of students’ final learning performance is significantly higher than that of midterm performance. Conclusions are valuable for improving the accuracy of peer assessment results, promoting learners’ reflection on learning, and constructing online peer assessment models based on learning behavior data.
The Influence of Online Teaching Interactive Behaviors on Sustained Learning Results of Learners
Authors: Zhang Pin , Chang Xinshang
Published: May 2022

Along with the increasing maturity of mobile information technology, mobile-based online learning has become one of the main teaching methods that all kinds of schools should adapt themselves to during the COVID-19 pandemic. However, online education physically isolates teachers from their students, hence weakening their interactions. In the context of this spatial isolation, the frequency of interactive behaviors and quality of communication in online education should be strengthened to improve the sustained learning results of learners. After reviewing the previous literature, a questionnaire investigating the influence of online instructional interaction level on sustained learning results was designed. By considering self-efficacy as a mediating variable, the mediating effect of self-efficacy on sustained learning results at the interactive level of online teaching was analyzed and the difference in sustained learning results that can be attributed to years of familiarity with online learning was measured. Results show that teacher-student interaction has significant positive effects on sustained learning results, whereas student-student interaction has significant positive effects on sustained learning results. Self-efficacy completely mediates the role of teacher-student interaction and student-student interaction in effectively and significantly improving sustained learning results. The duration of online learning has a significant effect on sustained learning results. Conclusions provide an important reference for enriching the learning activity design principles of instructional interaction level.
Mode and Effect Evaluation of Classroom Regulation Under Hybrid Teaching Mode in Colleges
Authors: Cui Jinghua
Published: May 2022

Under hybrid teaching mode, teachers often find it hard to control the rhythm of the classroom, and need to sort out the relationship between various elements in the class. To achieve the ideal teaching effect through classroom regulation, this paper explores the mode and effect evaluation of classroom regulation under hybrid teaching mode in colleges. Firstly, the authors preprocessed and extracted features from the data on classroom regulation indices, and explained the training process and steps of the proposed backpropagation neural network (BPNN). Based on fuzzy comprehensive evaluation (FCE), a state evaluation model was established for classroom regulation, and the construction procedure was detailed for the multi-level FCE model. Next, an index system was constructed for the effect evaluation of classroom regulation under hybrid teaching mode in colleges, and the evaluation process was clarified for the classroom regulation effect. Finally, several experiments were carried out to examine the implementation of classroom regulation measures in different periods, and obtain the evaluated effects of classroom regulation.
The Synergy Mechanism of Online-Offline Mixed Teaching Based on Teacher-Student Relationship
Authors: Cao Chang
Published: May 2022

The teacher-student relationship on online education platforms is quite complex. The learning habits of different-type students and the non-contact interaction on the online education platforms make it difficult for online and offline teaching to form a synergetic relationship spontaneously, thus researching the method to construct a synergetic teaching-learning relationship between teachers and students in the context of online-offline mixed teaching is of high value. However, currently few scholars have viewed the problem of synergy mechanism of online-offline mixed teaching from a macro perspective, so in order to fill in this research gap, this paper aims to study the synergy mechanism of online-offline mixed teaching by analyzing the key factors in teacher-student relationship, including the students’ background information, personality characteristics, learning preferences, learning behavior habits, types and features of the teacher-student relationship, and the interaction fitness of teachers and students, etc. In the paper, the teacher-student relationship was classified by the normal distribution division method, the calculation process of the interaction fitness degree of teachers and students was given, and a model was constructed for evaluating the synergy degree of online-offline mixed teaching. The experimental results gave a statistic of each evaluation dimension of teacher-student relationship, which had verified the effectiveness of the constructed model.
Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection
Authors: Akintola Abimbola Ganiyat , Balogun Abdullateef , Mojeed Hammed Adeleke , Usman-Hamza Fatima , Salihu Shakirat Aderonke , Adewole Kayode Sakariyau , Balogun Ghaniyyat Bolanale , Sadiku Peter Ogirima
Published: May 2022

Due to the exponential rise of mobile technology, a slew of new mobile security concerns has surfaced recently. To address the hazards connected with malware, many approaches have been developed. Signature-based detection is the most widely used approach for detecting Android malware. This approach has the disadvantage of being unable to identify unknown malware. As a result of this issue, machine learning (ML) for identifying and categorising malware apps was created. Conventional ML methods are concerned with increasing classification accuracy. However, the standard classification method performs poorly in recognising malware applications due to the unbalanced real-world datasets. In this study, an empirical analysis of the detection performance of ML methods in the presence of class imbalance is conducted. Specifically, eleven (11) ML methods with diverse computational complexities were investigated. Also, a synthetic minority oversampling technique (SMOTE) and random undersampling (RUS) are deployed to address the class imbalance in the Android malware datasets. The experimented ML methods are tested using the Malgenome and Drebin Android malware datasets that contain features gathered from both static and dynamic malware approaches. According to the experimental findings, the performance of each experimented ML method varies across the datasets. Moreover, the presence of class imbalance deteriorated the performance of the ML methods as their performances were amplified with the deployment of data sampling methods (SMOTE and RUS) used to alleviate the class imbalance problem. Besides, ML models with SMOTE technique are superior to other experimented methods. It is therefore recommended to address the inherent class imbalance problem in Android Malware detection.
Dynamic Lightweight Mechanism for Security and Performance in Internet of Things
Authors: Diwan Sinan Adnan
Published: May 2022

Communication between machines has become commonplace in recent years, and the Internet of Things (IoT) is gaining notoriety. Congestion control is a prevalent issue in the transportation system, and GPS devices, which drivers and traffic authorities alike utilise, are well-suited to the job. Traffic density is expanding at an alarming rate, making it impossible for drivers to see and handle all of the possible scenarios in a traffic area they are ready to enter. It's also becoming increasingly difficult to maintain security and integrity due to a growing number of assaults by hackers that send harmful code or bogus packets. There are a few new technologies that have yet to be put into practise under the Internet of Things umbrella, including ubiquitous computing (IoT).