bluuebunny/crossref_metadata_2025 huggingface dataset:
Utilization of Blockchain for Marine Products Tracking
Authors: Stephane Ilfa , Saputra Heru , Alhaj Nasrudin , Putra Lakry Maltaf
Published: March 2023

Many marine product companies currently have not implemented blockchain potentials in tracking systems. There could be found many errors in the transactions record. The purpose of this research is to implement blockchain as a fraud prevention system for transactions in marine product companies. This research is qualitative-exploratory research with data collection using documentation techniques from related literature. This study concludes that Blockchain can be used as an alternative to fraud prevention. Blockchain can be used because there is transparency with a distributed system, which makes the whistleblowing system more effective and independent, in fully implementing the principles of GCG (Good Corporate Governance). The results of the advanced system designed at a marine product company are to facilitate data collection of all goods to be sent this providing high-security guarantees because it implements a blockchain security system in this system, and places an integrated tracking system so that data and goods sent during the transaction can be tracked.
New Method For Classifying Heart In Multiview Echocardiographic Images
Authors: Mohamad Walid Asyhari  , Riyanto Sigit  , Bima Sena Bayu Dewantara  , Anwar
Published: March 2023

Echocardiography is a test that uses high-frequency sound waves to describe the structure of the heart. Echocardiography is used by doctors to analyze the movement of the walls in the heart chambers and identify heart disease. Several images, including the long-axis, short-axis, 2-chamber and 4-chamber left ventricle, can be used to check heart function. Many studies that have been carried out, including cardiac evaluation, are still carried out conventionally and require a certain level of accuracy. In this research, several methods proposed to achieve object extraction are used to build a classification system, the steps start with image enhancement, segmentation, tracking, extraction, output characteristics, validation and classification. Imaging enhancement aims to improve the echocardiographic image, thereby clarifying the edges of the heart wall. In addition, the images are reprocessed to separate the left ventricle from the heart wall and generate ventricular contours, at the segmentation stage. The contours are obtained by looking for the good features on each heart wall. In this approach, good features are identified only on the first image of the left ventricular slice. The good feature points used are 24 point which will be grouped into 6 segments. In addition, all images will be processed using the optical flow method to track the movement of the walls of the heart. Optical flow tracing will generate direction and distance feature extraction values that can be used to describe the resulting data features and find a suitable classification algorithm that is combined using different validation techniques, namely K-fold and Leave-one-out. In its implementation, Classifier Support Vector Machine (SVM) with rbf core achieves the highest accuracy. The SVM classification algorithm with validation techniques, namely k-fold cross-validation and leave-one-out cross-validation, reaches an accuracy value of 100% and 100%.
Meningkatkan Kinerja Decision Tree C4.5 dengan Seleksi Fitur Korelasi Pearson pada Deteksi Penyakit Diabetes
Authors: Mohammad Burhan Hanif  , Galet Guntoro Setiaji
Published: March 2023

Diabetes sebuah penyakit yang menjadi momok seluruh dunia. Kerugianya tidak hanya pada penderita sendiri tetapi juga merambah ke banyak sektor. Baik di sektor pelayanan kesehatan dan sektor financial yang sangat menjadi beban tinggi yang perlu ditangani dengan baik dengan jalan pendeteksian penyakit diabetes sejak dini. Salah satu pendeteksian dini penyakit diabetes dapat memanfaatkan algoritma machine learning pada bidang data mining. Algoritma C4.5 merupakan algoritma machine learning yang memiliki tingkat akurasi dan kecepatan perhitungan tinggi dalam klasifikasi. Namun demikian algoritma C4.5 terganggu dengan data tak seimbang dan fitur data berdimensi tinggi. Pemanfaatan seleksi fitur menjadi salah satu penyelesain masalah data berdimensi tinggi. Algoritma Korelasi Pearson memiliki kemampuan dalam mengukur informasi antar fitur dan diterapkan dalam penelitian ini. Penggunaan Korelasi Pearson dianggap berhasil dalam meningkatkan kinerja algoritma C4.5 dalam deteksi awal penyakit diabetes. Keberhasilan ini terlihat pada hasil akurasi sebesar 95.31% tanpa korelasi pearson menjadi 96.16% dengan pemanfaatan korelasi pearson.
Social Network Analysis dalam Mengukur Keaktifan Promosi Universitas di Media Sosial Twitter
Authors: Ahmad Rifai  , Eka Putri Rachmawati  , Dinar Anggit Wicaksono
Published: March 2023

Banyaknya Universitas baru yang bermunculan membuat semakin ketatnya persaingan dalam menarik minat calon mahasiswa. Social Network Analysis (SNA) salah satu metode untuk menganalisis interaksi pengguna media sosial dalam menghasilkan informasi yang dapat mendukung dalam pengambilan keputusan untuk melakukan promosi. Tujuan dari penelitian ini adalah untuk mengetahui keaktifan Universitas dalam melakukan promosi melalui media sosial twitter. Sosial Media Analysis (SNA) menunjukkan aktor (node) dengan nilai degree centrality (sering dihubungi) adalah aktor dengan nama sbmptnfess pada Universitas Dian Nuswantoro dengan nilai sebesar 21 node. Sedangkan aktor yang memiliki jangkauan yang paling dekat (Closseness centrality) Universitas Semarang, Universitas Sultan Agung, Universitas Dian Nuswantor, dan Universitas PGRI Semarang memiliki nilai yang sama. Sehingga aktor dari ke empat universitas tersebut memiliki kedekatan jangkauan sebesar 1.0. Sedangkan Aktor sebagai penghubung yang baik (Betweenness Centrality) adalah Universitas PGRI Semarang dengan nilai tertinggi sebesar 0.010096 dengan aktor turungences.
Prototype Alat Pendeteksi Kebakaran Menggunakan Sensor Flame dan MQ-2 Berbasis Arduino Uno
Authors: Nugraha Denny Andian , Satria Budy
Published: March 2023

Fires can occur due to uncontrolled activities such as short circuits, littering of cigarette residues, gas leaks, human carelessness and natural factors that cause fires to appear. This research aims to design a prototype fire detector using a flame sensor to detect fire and an MQ-2 sensor to detect smoke and gas based on the Arduino Uno microcontroller. When these sensors detect the presence of fire, smoke and gas objects, the Buzzer and LEDs that have been programmed into indicators will be active as an early warning that a fire has occurred. The results of the tests that have been carried out in this study are the Arduino Uno Microcontroller works well to perform data processing. Testing the flame sensor at a distance of 5-25 cm causes the alarm to sound and the LED lights up as an indicator that the sensor is functioning in detecting hotspots. The MQ-2 sensor successfully detects the presence of smoke and gas at a density value of 760-775ppm. So this tool can help in providing a fire warning.
Library Research: An Online Learning at High School as Learning Media
Authors: Monica Fransisca  , Renny Permata Saputri  , Yuliawati Yunus
Published: March 2023

Technology has begun to applied in the field of education, not only in universities but also in high school. The existence of technology for education encourages the development of learning media, especially online learning. The purpose of this research was to examine implementation of online learning at high school level. The method used is literature review research, which is the research results come from several sources. The data obtained comes from books, research, and articles related to online learning media. Based on the research’s results, it was concluded that the use of online learning media in high school can be applied appropriately and well if it meets certain criteria. The use of online learning as learning media can also directly improved student’s learning outcomes. This statement obtained from research articles related to the topic.
Implementasi Data Mining Pada Sistem Persediaan Obat Di Puskesmas Sei Berombang Dengan Metode Algoritma Apriori
Authors: Dewi Dewi Putri Ayu Andira , Ikhwan Ali
Published: March 2023

Puskesmas merupakan salah satu unit bantuan kesehatan pertama di Indonesia dan puskesmas merupakan tempat pertama untuk merawat kesehatan masyarakat dengan memberikan pelayanan dan pemberian obat sesuai dengan penyakitnya. Penyakit yang diderita langsung ditangani oleh paramedis dengan memberikan obat-obatan. Pentingnya persediaan obat di puskesmas akan menjadi prioritas terpenting yang harus distok untuk menghindari dan mengantisipasi kelangkaan obat. Strategi yang dapat dilakukan untuk mengatasi permasalahan stok obat di puskesmas adalah dengan mengikuti pola penggunaan obat dengan menerapkan data mining di puskesmas dalam  memprediksi pola penggunaan obat dengan metode yang tepat menggunakan algoritma apriori yaitu bertujuan untuk mengetahui adanya keterkaitan asosiatif antara kombinasi produk satu dengan lainnya disebut dengan metode yang menerapkan aturan asosiasi. Sehingga puskesmas mengetahui obat yang paling banyak digunakan dan dapat memilah persediaan obat yang harus dipenuhi.
Sistem Keamanan Rumah Menggunakan Sensor Passive Infrared Receiver dan SMS Gateway Berbasis Arduino
Authors: Prasetio Yoga Randi , Satria Budy
Published: March 2023

Weak security systems in a house provide opportunities and opportunities for other people who are not entitled to take and steal valuables for homeowners. Based on these problems, research was carried out by making a home security system using a passive infrared receiver sensor and an Arduino-based sms gateway. The system is designed using electronic devices such as Arduino Microcontroller as data processing, PIR sensor to detect movement in the house, buzzer as an alarm and GSM 900 A module as a communication medium in the form of SMS which is connected to the homeowner's cell phone. This system works when the PIR sensor (Passive InfraRed Receiver) detects a human entering the house and then Arduino sends data in the form of an alarm from the buzzer and sends a danger sign in the form of SMS (Short Message Service). The results of the research conducted on the PIR sensor with a distance of 30-150 cm on the object movement caused an alarm to sound originating from the buzzer and SMS notifications were also successfully sent to the homeowner every time there was movement or an open door detected by the PIR sensor. This research shows that technology can be a solution to prevent crime, especially at home through a home security system using PIR sensors and SMS Gateway
Sistem Informasi Manajemen Laundry Menggunakan Metode Customer Relationship Management (CRM) Berbasis Web
Authors: Juliani Cindy , Zufria Ilka
Published: March 2023

Laundry arion merupakan usaha yang bergerak di pelayanan terima cuci bersih perlengkapan rumah tanggga berupa pakaian, bed cover dan perlengkapan lainnya. Laundry Arion melakukan pencatatan manual dalam manajemen laundry seperti pembelian perlengkapan laundry, pengolahan data konsumen, pencatatan pengeluaran serta pemasukan laundry. Laundry arion mengolah data masih menggunakan buku pencatatan. Pelayanan konsumen yang bagus dapat memperoleh keuntungan, sehingga konsumen akan selalu melakukan laundry pada Laundry Arion. Sehingga, diperlukan sistem penilaian konsumen terhadap pelayanan dengan pengisian angket secara online sehingga Laundry arion dapat mengetahui hal-hal apa saja yang akan ditingkatkan dalam pelayanan yang ada. Maka demikian dibutuhkan sistem yang baru dalam manajemen laundry dan penilaian berupa sistem ECRM yang dapat mempermudah dalam pembuatan pembukuan yang ada dan memperoleh hasil survey tiap pelanggan. Dengan sistem ECRM Diharapkan sistem yang dihasilkan dapat membantu Laundry arion mengetahui jumlah perlengkapan yang akan disediakan dan mengetahui perlengkapan yang telah digunakan dan menghasilkan laporan laundry yang lebih efektif.
Analisa Pengaruh Jalur Penerimaan Mahasiswa Baru Terhadap Hasil Akademik Mahasiswa Menggunakan Metode Clustering K-Means
Authors: Yang Agita Rindri , Rollastin Boy , Riyadi Muhammad
Published: March 2023

Setiap tahun perguruan tinggi melakukan penerimaan mahasiswa baru untuk menyaring calon mahasiswa baru yang berkualitas.  Data penerimaan mahasiswa baru tersebut semakin bertambah setiap tahunnya dan hanya tersimpan sebagai arsip dalam basis data perguruan tinggi. Padahal data-data tersebut dapat diolah dengan menggunakan teknik data mining untuk mendapatkan informasi tertentu yang bermanfaat bagi perguruan tinggi. Penelitian ini bertujuan memanfaatkan data penerimaan mahasiswa baru untuk mengetahui pengaruh jalur penerimaan mahasiswa baru terhadap hasil akademik mahasiswa selama mengikuti perkuliahan dengan menggunakan algoritma K-Means Clustering. Data yang digunakan adalah data penerimaan mahasiswa baru pada Program Studi Sarjana Terapan Teknik Elektro, Program Studi Sarjana Terapan Teknologi Rekayasa Perangkat Lunak, dan Program Studi Sarjana Terapan Teknik Mesin dan Manufaktur Polman Negeri Babel Tahun Akademik 2021/2022 dan data nilai semester ganjil TA 2021/2022. Jumlah data yang digunakan sebanyak 179 data dari Program Studi Sarjana Terapan Teknik Elektro, Program Studi Sarjana Terapan Teknologi Rekayasa Perangkat Lunak, dan Program Studi Sarjana Terapan Teknik Mesin dan Manufaktur. Hasil dari penelitian menunjukkan bahwa K-Means Clustering mengelompokkan data menjadi 3 cluster di setiap kategori jalur penerimaan mahasiswa baru. Hasil cluster tersebut menunjukkan bahwa jalur SNMPTN menghasilkan 48% mahasiswa memiliki hasil akademik 10 terbaik di kelasnya, sementara itu 60% mahasiswa dari jalur MANDIRI menempati peringkat 21-30 di kelasnya.
Transfer learning pada Network VGG16 dan ResNet50
Authors: Fauzan Muhammad  , Aniati Murni Arimurthy  , Dina Chahyati
Published: March 2023

Transfer Learning adalah prinsip yang digunakan pada neural network dengan tujuan membantu pelatihan pada data yang sedikit, mempercepat waktu dan meningkatkan performa pelatihan. Salah satu metode transfer learning adlaah fine tuning. Pada metode tersebut, melakukan pembekuan pada sejumlah layer pada model network yang dilatih sebelumnya dan melakukan pelatihan pada lapisan yang lainnya dan pada lapisan feature extractor. Pada penelitian ini akan dilihat salah satu metode transfer learning pada model network VGG6 dan ResNet50, yaitu fine tuning, dengan melakukan pembekuan dengan jumlah yang lapisan berbeda pada masng-masing model. Kemudian pada kedua model tersebut dilihat kinerja dan akurasinya pada saat pelatihan dan pengujian
Reduksi Dimensi pada Klasifikasi Data Microarray Menggunakan Minimum Redundancy Maximum Relevance dan Random Forest
Authors: Harahap Lailan , Nababan Erna Budhiarti , Efendi Syahril
Published: March 2023

Di Indonesia prevalensi kanker pada data Riskesdes tahun 2018 terdapat 1,79 per 1.000 penduduk mengidap penyakit kanker. Akibat tingginya prevalensi kanker maka diperlukan pendeteksian kanker sejak dini. Salah satu cara mendeteksi kanker yaitu dengan teknologi microarray dimana teknologi ini dapat memantau ribuan ekpresi gen secara bersamaan dalam satu percobaan. Namun, data microarray memiliki dimensi yang besar sehingga diperlukan proses reduksi dimensi data microarray pada penyakit prostate cancer da gastric cancer agar dapat menghilangkan atribut yang redundansi dan meningkatkan akurasi pada klasifikasi. Reduksi dilakukan menggunakan MRMR (FCQ dan FCD) dengan k 10,20,30,40,50,60,70,80,90 dan 100. Klasifikasi dilakukan menggunakan RF dengan membentuk 100 tree. Hasil akurasi terbaik pada klasifikasi data prostate cancer yaitu dengan FCQ 100% pada k=10, tanpa reduksi 95% dan akurasi terendah dengan FCD 52% pada k=90. Sedangkan hasil akurasi terbaik klasifikasi data gastric cancer yaitu dengan FCQ dan FCD 100% pada semua k dan akurasi terendah yaitu tanpa reduksi 83%.
Penerapan Metode Winter Exponential Smoothing Dalam Memprediksi Stok Produk Benang
Authors: Cahyani Winda , Suendri
Published: March 2023

Kegiatan untuk memperkirakan apa yang akan terjadi pada masa yang akan datang disebut dengan peramalan. Metode Winter Exponential Smoothing adalah metode peramalan yang menggunakan tiga persamaan pola, yaitu stationer, trend, dan musiman. Teknik peramalan dapat diterapkan dalam memprediksi stok produk benang pada PT. Jangkar Mas di periode selanjutnya. Untuk itu peneliti bermaksud membangun sebuah sistem peramalan agar mempermudah perusahaan dalam memprediksi stok produk benang. Melalui sistem peramalan ini diperoleh data prediksi stok produk benang menggunakan metode winter exponential smoothing dengan menggunakan data jenis benang katun pada bulan Januari 2021 hingga Desember 2022 menghasilkan Mean Absolute Percentage Error (MAPE) sebesar 10% dengan data hasil peramalan benang katun pada Januari 2023 sebanyak 3.390,86 roll masuk pada kategori 10-20% yang artinya hasil peramalan baik, dimana nilai α = 0.4, β = 0.1 dan μ = 0.3 hal ini menunjukkan bahwa peramalan menggunakan metode winter exponential smoothing dapat memberikan hasil sesuai dengan yang diharapkan.
An Encryption Approach Based on Formal Method for Securing Distributed Big Data Storage in Cloud Environment
Authors: Hassan Anah Bijik , Boukari Souley , Yau Gital Abdulsalam , Abdulhamid Mohammed
Published: March 2023

Cloud computing is the technology used to store massive amounts of data (Big data) on Servers which locations are unknown to the user of the service. One of the major source of concern in security and privacy is the fact that cloud operators have chances to reach the sensitive data. This makes Cloud computing adoption by organizations with users’ sensitive details including the banking sector and government agencies marred by resentment. Therefore, a cryptography approach is proposed, named Secured Efficient Distributed Storage SecDcloud) model that is designed to obtain an efficient mass distributed service, and is supported by the Modified Alternative Data Distribution (MAD2) Algorithm Modified Secured Data distribution (MSED2) Algorithm as well as Improved Data Conflation (IDCon) Algorithm based on formal method. Our proposed mechanism aims to split, encrypt sensitive data and store the data to the different cloud servers without causing big overheads using formal method which prevents cloud service providers from directly accessing the user’s data.  Our experiments, evaluated on security and efficiency of our technique, and is compared with state of the art Advanced Encryption Standard(AES) Algorithm and the results show that it is capable of effectively defending against the most common cloud-based threats while still maintaining a reasonable amount of processing time.
Розробка моделі прийняття рішення з використанням гнучких методологій
Authors: Каліновський Дмитро , Осієвський Сергій , Дзюба Інна
Published: March 2023

У статті розглянуто вимоги до розробки системи підтримки прийняття рішення з використанням бази знань в залежності від положення Стратегічного оборонного бюлетеня України, формалізованого процесу прийняття воєнного рішення на основі стандартів НАТО та особливостей архітектури C4ISR. З точки зору проектування програмного забезпечення враховано стандарт направлений на процеси і організацію життєвого циклу ІС та маніфест гнучкої розробки. Розглянуті вимоги являються частковим переліком, який необхідний для побудови діаграм структури та поведінки, які описують автоматизоване управління військами на основі визначених принципів управління, ознак класифікації та базових функцій систем в країнах – членах НАТО. Розроблена функціональна модель процесу управління військами з використанням положень С4ISR, яка враховує послідовність виконання процесу ППВР та дозволяє дослідити вплив кожної підсистеми на загальний результат.

Враховуючи формуляри програмного комплексу “Віраж-Планшет”, визначено кількісні показники інформації про повітряні об’єкти та засоби повітряного нападу які використовуються особою яка приймає рішення. Оцінена кількісна міра інформації, яка використана для визначення точок прийняття рішення відносно повітряних об’єктів які супроводжуються.
Оцінювання ефективності ураження об’єктів противника, що приховуються хибними цілями
Authors: Загорка Олексій , Поліщук Сергій , Загорка Ірина
Published: March 2023

Планування вогневого ураження противника здійснюється на підставі результатів оцінювання очікуваної ефективності знищення його об’єктів. Противник часто застосовує хибні цілі для приховування своїх об’єктів. Це обумовлює необхідність урахування особливостей виявлення і розпізнавання хибних цілей засобами розвідки під час оцінюванні ефективності ураження об’єктів, що розглянуто у статті.
Прийнято, що процес ураження об’єкта містить послідовне виконання завдань виявлення, розпізнавання і знищення об’єкта, які характеризуються відповідними ймовірностями. За показник ефективності прийнято математичне сподівання кількості уражених об’єктів.
У статті наведена методика оцінювання ефективності ураження об’єктів, що приховуються хибними цілям. Виявлення об’єкта (хибної цілі) в районі розвідки має випадковий характер. Тому при визначенні імовірності виявлення необхідно ураховувати імовірність отримання контакту засобу розвідки з об’єктом або хибною ціллю. У розробленій методиці імовірність отримання контакту засобу розвідки із об’єктом (хибною ціллю) пропонується визначати із урахуванням енергетичного коефіцієнта, який залежить від дальності виявлення об’єкта (хибної цілі) і висоти польоту розвідника. Це дає можливість більш обґрунтовано визначати імовірність виявлення об’єктів (хибних цілей) засобом розвідки. Імовірність розпізнавання об’єктів і хибних цілей у методиці вважаються заданими. Імовірність ураження об’єкта визначається із урахуванням кількості боєприпасів, що призначається на один об’єкт.
Також методика дозволяє оцінювати витрати боєприпасів для ураження об’єктів, що приховуються хибними цілями. Показана суттєва залежність витрат боєприпасів від імовірності розпізнавання хибних цілей та кількості їх використання для приховування об’єктів.
Розроблену методику більш доцільно застосовувати під час обґрунтування нарядів засобів для ураження об’єктів, що приховуються хибними цілями. Методика також може використовуватися для обґрунтування вимог до засобів розвідки і визначення їх характеристик. Працездатність методики показана на прикладі оцінювання ефективності ураження об’єктів противника, що приховуються хибними цілями, при застосуванні для їх розвідки безпілотного літального апарату.
Documenting data-ghosts: Visualising non-human life and death through what is undocumented in early childhood education
Authors: Albin-Clark Jo
Published: March 2023

What happens with ethical response-abilities that linger in early childhood education documentation practices? Thinking-with research-creation, I problematise the human focus of three and four-year old children caring for eggs in a classroom hatchery. Foregrounding non-human life (and death) brings an ethical disquiet that sticks around. Instead, the past-present-future becomes blurred with ghostly matters.  What is particularly haunting is the disposability of non-human life after human educational events are over. Haunting data that is not easy to think with and irritates through time is conceptualised as a data-ghost. Through methodological creative experiments inspired by digital visualisations of non-human data-ghosts, I ponder with the minor of what is unthought, half-said and non-documented when chicks are returned to commercial hatcheries. Posthuman praxis leads me to trouble the human-centric focus of documentation practices and wonder what new questions are generated for multi-species flourishing when the foreground slips and flips to the non-human.
Branched continued fraction representations of ratios of Horn's confluent function $\mathrm{H}_6$
Authors: Antonova Tamara , Dmytryshyn Roman , Sharyn Serhii
Published: March 2023

In this paper, we derive some branched continued fraction representations for the ratios of the Horn's confluent function $\mathrm{H}_6.$ The method employed is a two-dimensional generalization of the classical method of constructing of Gaussian continued fraction. We establish the estimates of the rate of convergence for the branched continued fraction expansions in some region $\Omega$ (here, region is a domain (open connected set) together with all, part or none of its boundary). It is also proved that the corresponding branched continued fractions uniformly converge to holomorphic functions on every compact subset of some domain $\Theta,$ and that these functions are analytic continuations of the ratios of double confluent hypergeometric series in $\Theta.$ At the end, several numerical experiments are represented to indicate the power and efficiency of branched continued fractions as an approximation tool compared to double confluent hypergeometric series.
THE PRICE STRATEGY DEVELOPMENT IN THE MARKETING SYSTEM OF A MECHANICAL ENGINEERING COMPANY
Authors:   Kherson State Agrarian and Economic University, OLIINYK Ihor
Published: March 2023

Abstract. Objective. The research problem for this study is to analyze the mechanism of the price strategy development of a mechanical engineering company in a competitive environment. To achieve the goal, it is necessary to generalize theoretical approaches to determining the strategic direction of the company's price policy and analyze the main factors of the market situation in the field of domestic mechanical engineering. Methods. The issues of evolution and analysis of the strategic direction of the price policy of a mechanical engineering company were analyzed in the works of such researchers as Bozhkov D., Zhegus O., Koriniev V., Pererva P., Sus L., Shevchuk N. and many others. In their studies, considerable attention is also paid to issues of strategic management and increasing the competitiveness of industrial companies in modern economic conditions. Results. The main task when setting the price strategy for mechanical engineering products is to determine the consumer value of the product, which is calculated as the difference between the benefits received by the buyer and his costs. When analyzing a company's competitive advantage, it is necessary to compare its own costs with the costs of its main competitors. In some cases, it is necessary to determine the costs of competitors on the basis of data on the amount of wages, the cost of materials and production equipment, as well as other indirect information. The strategic form of the price policy can include different implementation options depending on the marketing strategy carried out by the company. It is also important to consider the level of business environmental turbulence and its impact on the strategic planning. It is recommended to allocate all costs for equipment maintenance in proportion to the quantitative composition of production and technical equipment used for each type of activity, and only then calculate the total amount of maintenance costs for each unit of equipment throughout the useful life of its operation. Scientific novelty. The scientific novelty of the obtained results is in the improvement of the methodical approach to marketing pricing, which is based on a comparison of the level of production costs of the manufacturer, the level of prices and value orientations of consumers. Practical significans. The author's conclusions can be used in the practical activity of manufacturers and trade companies as well as be put into the basis for further scientific developments in improving the processes of marketing pricing of domestic business entities. Key words: marketing pricing, pricing factors, pricing methods, pricing policy of the company, pricing strategy, marketing activity of the company, production capacity of the mechanical engineering company, production costs, price elasticity, target pricing.
Las estrategias de marketing y su incidencia en la comercialización de productos: empresas manufactureras de ropa, post estado de excepción.
Authors: Vera-Díaz Gema , Cruz-Arteaga Kerly
Published: March 2023

Con el fácil acceso y evolución de la tecnología a nivel mundial y el acelerado cambio en las tendencias y comportamiento de los consumidores, las estrategias del marketing no han sido ajenas al cambio en la cadena evolutiva marcada por el poder de la tecnología a favor de la calidad de vida y el bienestar de las personas. Es por ello que el objetivo principal de esta investigación fue analizar las estrategias de marketing utilizadas por las empresas manufactureras de ropa y su incidencia en la comercialización post estado de excepción, cuya metodología fue de enfoque cuantitativo, de corte transversal, no experimental, empírico y estadístico; utilizando la observación y la encuesta, aplicada a una muestra estadística de clientes potenciales de las empresas Pasamanería S.A.; Almacenes De Prati S.A.; Empresa Pinto S.A.; Comercial Etatex C.A.; Tiendec S.A. Para el análisis estadístico se utilizó el diagrama de Pareto dando como conclusión que todas las empresas deben adaptar las estrategias de marketing haciendo buen uso de la tecnología y tendencia en redes sociales
Gestión de las cuentas por cobrar y su incidencia en la liquidez de la Fundación Centro de Apoyo y Solidaridad “Alianza”, cantón Portoviejo, año 2020
Authors: Muñoz-Tuárez Génessis , Mendoza-Saltos María
Published: March 2023

El presente articulo tiene como objetivo analizar la incidencia de la gestión de las cuentas por cobrar sobre la liquidez en la Fundación Centro de Apoyo y Solidaridad “Alianza”, cantón Portoviejo, año 2020 - 2021. La investigación fue no experimental, transversal, descriptiva, se contó con una población de 4 personas que laboran en la Fundación a quienes se les destinó una entrevista cuya confiabilidad se evidenció en la aplicación de un Cuestionario de Control Interno, además se analizaron los estados financieros aplicándose indicadores para determinar la causa de esta liquidez. Los resultados revelaron que existe una desorganización y ausencia de políticas y manuales de crédito, ocasionando que no se realicen los cobros de los créditos.

Se concluye que la gestión de las cuentas por cobrar incide sobre la liquidez de la Fundación Centro de Apoyo y Solidaridad “Alianza”. Es decir, cada uno de los procedimientos de crédito y cobranza, indicadores de actividad, tienen una incidencia en la liquidez reflejándose en los indicadores de liquidez corriente, prueba ácida, prueba defensiva, capital neto de trabajo y capital de trabajo.
Urinary Tract Infection in Specific Populations and Controversies in Disease Management
Authors: Legg Ewen
Published: March 2023

This educational summit, supported by an independent grant from OM/Vifor Pharma, brought together experts in the field of urology and gynaecology from Europe and Latin America to meet and discuss the cutting edge management of patients suffering from recurrent urinary tract infections (rUTIs). The meeting included plenary lectures as well as workshops and interactive sessions, allowing delegates and presenters to debate the most pressing international and local issues in the field.

The physiological and anatomical changes associated with pathological and non-pathological conditions, such as pregnancy, can modify both the risk of contracting a UTI and the recommended treatment. Risk factors also evolve across the lifespan of a patient affecting the management of UTIs. Here we discuss specific challenges in disease management across a number of patient subgroups at higher risk of UTI.
Introduction to the Burden of Recurrent Cystitis and Rationale for Prevention
Authors: Legg Ewen
Published: March 2023

This educational summit, supported by an independent grant from OM/Vifor Pharma, brought together experts in the field of urology and gynaecology from Europe and Latin America to meet and discuss the cutting edge management of patients suffering from recurrent urinary tract infections (rUTIs). The meeting included plenary lectures as well as workshops and interactive sessions, allowing delegates and presenters to debate the most pressing international and local issues in the field.

50% of women experience at least one UTI in their lifetime; 25% and 44% of these patients will suffer recurrence of infection within 6 months and 1 year, respectively. It is estimated that rUTI affects up to 10% of otherwise healthy women.1 Data from epidemiologic studies suggest that each episode of acute cystitis in young women is associated with approximately 6.1 days of symptoms, 2.9 days of restricted activity, 1.2 days of inability to attend classes or work, and 0.4 days of bed rest. This may represent a burden for the patients. Furthermore, the management of each repeated infection leads to healthcare system expenditures. Given the level of prevalence and recurrence, assessment of the burden of UTI at both an individual and societal level and the identification of prophylactic measures to ameliorate this burden are essential for the effective management of rUTI.
Introducción a la carga que supone la cystitis recurrente y la justificación de la prevención
Authors: Legg Ewen
Published: March 2023

Esta cumbre, de carácter educativo y financiada por una beca independiente de OM/Vifor Pharma, ha reunido a expertos en urología y ginecología procedentes de Europa y Latinoamérica con el fin de conocer y debatir sobre el tratamiento más avanzado de pacientes con infecciones urinarias recurrentes (IUR). El congreso ha incluido conferencias plenarias, talleres y sesiones interactivas que han permitido a los congresistas y presentadores debatir sobre los asuntos internacionales y locales más apremiantes del campo.

El 50% de las mujeres padece infección urinaria al menos una vez en la vida. En 25 y el 44% de estas pacientes volverá a padecerla en los siguientes 6 meses y en el siguiente año respectivamente. Se calcula que la IUR afecta a hasta el 10% de las mujeres sanas.1 La información proveniente de los estudios epidemiológicos indica que cada vez que se diagnostica cistitis grave a mujeres jóvenes estas tienen aproximadamente 6,1 días de síntomas, 2,9 días de actividad restringida, 1,2 días de indisponibilidad para asistir a clase o al trabajo y 0,4 días de reposo. Esto puede representar una carga para las pacientes. Además, el tratamiento de cada infección repetida supone gastos para el sistema sanitario. Teniendo en cuenta la prevalencia y la recidiva, la evaluación de la carga que suponen las infecciones urinarias tanto a nivel individual como social, así como la identificación de medidas preventivas para mejorar esta carga son esenciales para tratar de forma eficaz las IUR.
Recent Advances in Percutaneous Nephrolithotomy
Authors: Basok Erem Kaan , Donmezer Serhat , Erol Ali
Published: March 2023

The continuous innovations in technology, instrumentations, and techniques allow urologists to perform percutaneous nephrolithotomy (PCNL) with increasing efficacy. Although recent advances have facilitated the procedure, some steps are still challenging. A thorough review of the recent urologic literature was performed to identify these improvements in PCNL technique. The newer developments mainly focused on multimodal imaging techniques, miniaturisation of instruments, tracking and navigation systems during access to the stone, and robotic systems. Further studies are necessary to better define the benefits of these new fruitful developments which remain an active research field.
Laparoscopic Radical Prostatectomy in the ERA of Robot-Assisted Technology
Authors: Kyriazis Iason , Vasilas Marinos , Kallidonis Panagiotis , Panagopoulos Vasilis , Liatsikos Evangelos
Published: March 2023

In this work the outcomes of laparoscopic radical prostatectomy (LRP) with regard to perioperative morbidity, oncological effectiveness, as well as postoperative continence and potency preservation are being reviewed and compared with the gold standard open radical prostatectomy. In addition, the limitations of LRP are being presented in contrast to the advancement offered by the emerging robotic assisted radical prostatectomy in an attempt to reveal whether laparoscopic approach still has a role in the era of robot-assisted technology.
A Literature-Based Analysis of the Learning Curves of Laparoscopic Radical Prostatectomy
Authors: Good Daniel W. , Stewart Grant D. , Stolzenburg Jens-Uwe , McNeill Stuart A.
Published: March 2023

There is a trend for the increased adoption of minimally invasive techniques of radical prostatectomy (RP) – laparoscopic (LRP) and robotic assisted (RARP) – from the traditional open radical retropubic prostatectomy (ORP), popularised by Partin et al. Recently there has been a dramatic expansion in the rates of RARP being performed, and there have been many early reports postulating that the learning curve for RARP is shorter than for LRP. The aim of this study was to review the literature and analyse the length of the LRP learning curves for the various outcome measures: perioperative, oncologic, and functional outcomes. A broad search of the literature was performed in November 2013 using the PubMed database. Only studies of real patients and those from 2004 until 2013 were included; those on simulators were excluded. In total, 239 studies were identified after which 13 were included. The learning curve is a heterogeneous entity, depending entirely on the criteria used to define it. There is evidence of multiple learning curves; however the length of these is dependent on the definitions used by the authors. Few studies use the more rigorous definition of plateauing of the curve. Perioperative learning curve takes approximately 150-200 cases to plateau, oncologic curve approximately 200 cases, and the functional learning curve up to 700 cases to plateau (700 for potency, 200 cases for continence). In this review, we have analysed the literature with respect to the learning curve for LRP. It is clear that the learning curve is long. This necessitates centralising LRP to high volume centres such that surgeons, trainees, and patients are able to utilise the benefits of LRP.
Electronic Transport Properties of Bi2Te2.7Se0.3 Fabricated by Hot Extrusion
Authors: Hwang Jeong Yun , Hasan Rahidul , Lee Kyu Hyoung
Published: March 2023

Herein we report the optimized processing conditions of hot extrusion for fabricating an n-type Bi2Te2.7Se0.3 thermoelectric compound, with high electronic transport properties as well as improved mechanical reliability. We fabricated a Bi2Te2.7Se0.3 extrudate that was 3.8 mm in diameter and 700 mm in length by controlling the processing parameters of temperature and pressure. A 3-point bending strength of over 70 MPa, which is 7 times higher that of the commercial zone melting ingot, was obtained in the samples prepared at 460 oC temperature under 6–6.5 MPa pressure. The samples benefitted from the formation of a highly-dense microstructure (relative density > 98%). It is noted that the electronic transport properties (electrical conductivity and Seebeck coefficient) could be manipulated by controlling the applied pressure of hot extrusion at 460 oC, mainly due to the change in the characteristics of the 00l crystal orientation, which originated from grain rotation and rearrangement. Power factor values of ~2.9 mW/mK2 at 300 K and ~2.95 mW/mK2 at 320 K, similar to those of sintered bulks, were obtained in the hot extrudate fabricated under processing parameters of 460 oC and 6 MPa. Moreover, a high power factor value of 2.25 mW/mK2 was observed even at the high temperature of 480 K, which is 70% higher than that of Bi2Te2.7Se0.3 bulk fabricated by hot pressing.
Identification of Risk Factor of Adolescent Sexual Behavior in Purwokerto: Pilot Study
Authors: Triyanto Endang
Published: March 2023

Introduction: Adolescent students drop out of school due to sexual behavior. They are depressed and pregnant. The level and risk factors of sexual behavior in Purwokerto are not comprehensively known.
Aim: The purpose of this study was to determine the level and risk factors of sexual behavior.
Methods: This study uses a quantitative method approach. This type of research is a survey. A survey using the questionnaire that has been statistically tested. Respondents were selected by simple random sampling from April to August 2022 in Purwokerto-Indonesia. Researchers have conducted screening to select adolescents who have risky sexual behavior. A number of 41 adolescents are included in high risk. The data analysis used was descriptive statistics. The data are presented in a frequency distribution table. 
Result: These risk factors come from individuals, peers, family, and the environment. Risk factors that have been found in this study include lack of knowledge (17%), dating behavior (66%), the negative influence of peers (78%), disharmonious family (32%), lack of attention from parents (56%), a victim of divorce (7%), free environment (68%), the negative influence of social media (61%), and negative values and beliefs (54%). The highest risk factor is peers (78%).
Conclusion: All risk factors significantly affect adolescent sexual behavior. Peers was the factor which most highly influence sexual behavior. Therefore, adolescents should have assertive abilities so they are not easily influenced.
The Effect of Giving Cucumber (Cucumis sativus) Juice on Blood Pressure in Stage 1 Hypertension Patients in Cimahi Public Health Center
Authors: Kumala Tria Firza , Yulita Rita Fitri , Susilawati Susilawati , Wati Ira Mehara , Badrujamaludin Asep , Sudrajat Diwa Agus
Published: March 2023

Background: One of the management of hypertension is with herbal medicine, such as cucumber juice, because cucumber contains a lot of potassium and water, a diuretic that can lower blood pressure.
Aim: This study aimed to determine the effect of cucumber juice on blood pressure in patients with stage 1 hypertension.
Method: The research design used was (a quasi-experimental design) with the design using the Non-Equivalent Control Group. A total of 28 people whose blood pressure was measured consisted of 14 people in the intervention group giving cucumber juice and 14 in the control group without giving cucumber juice.
Results: The study’s mean systolic blood pressure in the control and intervention groups ranged above 130 mmHg and 80 mmHg for diastolic. After the intervention procedure, the mean systolic and diastolic blood pressure in the intervention group decreased to 120.71 mmHg (systolic) and 76.43 mmHg (diastolic). In contrast, the control group’s systolic and diastolic blood pressure was relatively stable. The Independent t-test result showed a significant p-value (< 0.05). Meanwhile, in the control group, a p-value of (> 0.05) was obtained, meaning there was no change in blood pressure in the control group.
Conclusion: This study showed that cucumber juice affects blood pressure. Based on the study’s result, nurses need to maximize hypertension control by giving education to constantly consume anti-hypertensive drugs along with herbal medicine such as cucumber juice.
Nurse Staffing Factors, Fatigue, and Work-related Stress among Emergency Department Nurses During COVID-19 Pandemic
Authors: Lainsamputty Ferdy , Sanger Ailine Yoan , Susanti Ni Made Dewi , Pontoh Christanti Indriani
Published: March 2023

Aims : This study aimed to examine the relationship between nurse staffing factors, fatigue, and stress among emergency department (ED) nurses during pandemic.
Design : Descriptive, correlation, and cross sectional approach.
Methods : Using cross-sectional design, a total of 113 ED nurses in Indonesia selected by convenience sampling completed the survey on the Fatigue Severity Scale (FSS) and the Expanded Nursing Stress Scale (ENSS). Data analysis included descriptive statistics and bivariate analysis.
Results : Nurse staffing factors were not significantly associated with stress (r = -0.07-0.16, p > 0.05). Fatigue correlated with the domain of death and dying (r = 0.19, p < 0.05), problems relating to supervisors (r = 0.19, p < 0.05), workload (r = 0.26, p < 0.01) and patients/families (r = 0.25, p < 0.01), and overall stress (r = 0.21, p < 0.05).
Conclusions : The more severe fatigue the emergency nurses suffered, the worse stress they experienced. The workload and rotation of nurses during pandemic should be readjusted in accordance with current hospital situation. Identification of basic needs during the pandemic such as ensuring the supply of personal protective equipment (PPE) may help to reduce stress and to maintain the service quality in ED. Organizing counseling programs and support group through online meetings can help nurses to share their difficulties and experiences and to prevent them from feeling isolated.
SOCIAL NETWORK ANALYSIS #USUTTUNTAS PADA MEDIA SOSIAL TWITTER (DATA TWITTER 11 NOVEMBER 2022)
Authors: Setiamukti M Fadhlillah , Nasvian MF
Published: March 2023

Tragedi Kanjuruhan pada 1 Oktober tahun 2022 merupakan tragedi sepak bola dengan korban jiwa terbanyak kedua sepanjang sejarah dunia. Union of European Football Associations (UEFA) juga turut berbela sungkawa dengan melakukan hening cipta (moment of silence) pada pertandingan liga mereka. Tragedi Kanjuruhan ini memunculkan gerakan sosial dan aktivisme digital (DMO) melalui tagar #UsutTuntas. Data set yang di crawling menggunakan Netlytic.org mendapati 9.098 tweet DMO menggunakan tagar #UsutTuntas dari total 10.000 tweet. Penelitian ini akan mengukur jaringan komunikasi yang terbentuk (SNA), aktor yang terlibat, analisa wacana dan analisa sentimen. Hasil penelitian ini membuktikan bahwa gerakan opini digital Tragedi Kanjuruhan melalui tagar #UsutTuntas memiliki angka sentimen negatif tinggi yang menunjukan kekecewaan dan rasa tidak percaya oleh warganet dalam penanganan Tragedi Kanjuruhan. Rendahnya angka centralization antar aktor menunjukan bahwa DMO Tragedi Kanjuruhan melalui tagar #UsutTuntas merupakan aktivisme digital yang terjadi secara organik dan tidak dikendalikan oleh aktor maupun organisasi tertentu.
Samskapande processer
Authors: Bromark Kristina , Spånberger Weitz Ylva , Erlandsson Sara , Schön Ulla-Karin
Published: March 2023

Co-creative processes – power, responsibility and epistemic justice in participation researchParticipatory research designs are often used to improve the opportunities of marginalized groups to participate in knowledge production. This article is based on experiences from a research project, where participatory design was used to develop and implement user participation for children and young people in out-of-home care. The aim is to discuss opportunities and challenges within different stages of this research project to problematize which participation in participation research involves. Special emphasis is placed on the power relations between researchers, professionals and users through the different stages of the research process – from research design and co-creation to the implementation of co-created knowledge – and to explore how the opportunity maintaining epistemic justice varies among participants throughout this process. This article shows that the conditions for maintaining justice and epistemic justice change when the participatory research process goes from knowledge production to implementation of co-created knowledge. The implementation of knowledge takes place in a context of complex and competing interests, where the responsibility and power of researchers are weakened in favor of the responsibility and power of professionals. At this stage, users' opportunities for power and responsibility is also weakened. This shift of responsibility and power has ethical implications, which users at this stage may feel let down about their expectations of change that were raised in the past stages of the process, are not met in practice.