bluuebunny/crossref_metadata_2025 huggingface dataset:
ALGORITHM FOR PROVIDING MEDICAL CARE TO PATIENTS WITH DISEASES OF THE ORAL MUCOSA
Authors: V.V. Shkarin , Yu.A. Makedonova , A.V. Poroshin
Published: February 2023

The relevance of this work is due to the high prevalence of diseases of the oral mucosa, which have a chronic protracted nature. Underdiagnosis of patients at a dental appointment often leads to complications of various kinds. The aim of the work is to develop an algorithm for providing dental care to patients with diseases of the oral mucosa. 146 patients who applied for dental care took part in the examination. As a result of clinical examination and additional diagnostic methods, defects of the oral mucosa were detected in 19.8% of patients. The patients underwent a basic examination, the nature and intensity of pain on the Hossley-Bergman scale were determined, the area of erosive and ulcerative defects was calculated. Additional examination methods included electromyography and laser Doppler flowmetry. Electromyographic examination during the "bruxism" test made it possible to diagnose muscle hypertension, which is a predictor of the development of chronic injuries. Doppler flowmetry reflected the state and genesis of microcirculatory disorders of the oral mucosa. Thus, there is a decrease in the microcirculation parameter, the mean square deviation and the basal blood flow rate. Carrying out a full-fledged diagnostic complex allows both to identify the root causes of the development of pathologies, and to prescribe pathogenetic therapy taking into account the identified disorders. Timely diagnosis makes it possible to identify pathology at an early stage, which will prevent the development of a number of complications, such as the transition to a more severe form of the disease and malignancy of the decubital ulcer. Compliance by dentists with the algorithm of providing medical care to patients with diseases of the oral mucosa will allow timely identification and elimination of the etiological factor, timely restoration of the functions of the oral mucosa, normalize the functional state of the body.
COMPARATIVE ANALYSIS OF SIBERIAN FIR ESSENTIAL OIL SAMPLES AND THEIR ANTIMICROBIAL ACTIVITY
Authors: Z.V. Kasyanov , A.N. Vasyanin , V.V. Novikova , E.A. Nepogodina
Published: February 2023

The purpose of this work is to assess the quality of Siberian fir essential oil samples in accordance with the requirements of GOST ISO 10869-2015, as well as to assess antimicrobial activity. The objects of the study were various industrial samples, as well as a sample obtained at Perm pharmaceutical academy from fir paws, a raw material harvested in the Okhansky district of the Perm Territory. According to the research, all samples meet the requirements for consistency and color; a number of samples have the smell of technical fluid; all samples, except for own sample, have a relative density lower than indicated in GOST; the refractive index is underestimated in several samples; some samples in the composition have components that do not dissolve in ethyl alcohol in the ratio proposed by GOST; all samples comply with GOST in terms of acid number and do not contain ethyl alcohol impurities; a number of samples have unacceptable impurities of fatty and mineral oils. According to the study of the chromatographic profile, all the requirements for the ratio of substances and percentage could be met by an oil sample from Evalar. It should also be noted that own sample contains the largest amount of bornyl acetate. The studied samples have high antibacterial activity against the studied strain of Staphylococcus aureus, low antibacterial activity against the studied strain of Escherichia coli, a number of samples have a moderately pronounced antifungal activity against the studied strain of C. albicans. It is necessary to revise the existing regulatory documentation, as well as more stringent quality control of essential oils sold in the pharmaceutical and perfumery markets.
PROSPECTS FOR RETRANSPLANTATION KIDNEY. CLINICAL CASE
Authors: N.Y. Ibragimova , T.A. Gavva , N.K. Muminov , T.E. Tkebuchava , Z.S. Kaitova
Published: February 2023

According to a number of large epidemiological studies, about 10% of the world's population suffer from chronic kidney disease (CKD), the most severe stage of which is end-stage chronic renal failure (ESRD). Chronic renal failure is a symptom complex that develops in chronic bilateral kidney diseases due to the gradual irreversible death of nephrons and is characterized by a violation of the homeostatic function of the kidneys. The disease is diagnosed in 10-13% of the adult population, and 20% of them are people over 60 years of age. In Russia, according to international studies, up to 27 million people suffer from chronic kidney disease. The task of conservative therapy is to slow down the progression of chronic renal failure, to eliminate factors that aggravate its course, as well as to correct hormonal and metabolic disorders inherent in uremia - anemia, hyperphosphatemia, hyperlipidemia. The fifth stage of chronic kidney disease, also called the stage of end-stage renal disease, means a decrease in kidney function by more than 80%, which leads to life-threatening disorders of homeostasis and metabolism. The only way to continue life at this stage is lifelong use of renal replacement therapy, which includes three varieties: hemodialysis, peritoneal dialysis and kidney transplantation. The aim of each type of this therapy is to replenish, as far as possible, the lost functions of the patient's kidneys. Recently, the quality and reliability of dialysis machines, water purification systems, vascular access has improved significantly. However, there are complications associated with the procedure. This is also facilitated by an increase in the number of patients with diabetes mellitus, cardiovascular pathology, who are most susceptible to interaction with a dialysis machine. If there is no possibility of a transplant, a long waiting list, or there are contraindications to surgery, dialysis therapy is the treatment of choice. It must be remembered that dialysis is also supportive therapy for transplant rejection.
The resilience of monarchies in the Greater Middle East: The lightning rod effect, crackdown on protest, and patrimonial links
Authors: Lebedev S. V.
Published: February 2023

The paper examines the factors that allowed the Greater Middle East monarchies to survive the protests known as the “Arab Spring”. The author considers the popular argument in scientific and media-political discourse about the culturally conditioned legitimacy of the Middle Eastern monarchies, and also presents several cases of successful anti-monarchist revolutions in the region (Egypt, Tunisia, Iraq, Iran, Libya and Yemen). In addition, the work develops the idea that it can conditionally divide all the monarchies of the Greater Middle East into two types: individualistic and clan. The paper shows that patrimonial ties, which have been carefully built over several decades, are an important element in the stability of monarchies.
Content and language integrated learning in bachelor programs in linguistics: Prospects and potentials
Authors: Kovrigina A. I. , Goryacheva I. N.
Published: February 2023

Communicative and active learning is recognized as a dominant didactic model in foreign languages teaching and learning paradigm, wherein Content and Language Integrated Learning (CLIL) seems to be very promising. The key principle of CLIL is its dual focus: learning a subject through a language and learning a language through a subject. The focus of a CLIL lesson is on the subject content, which students need not only to understand and learn, but to interiorize in a foreign language. Being placed in a specific cultural context, the content gains certain linguistic and cultural features which are country specific for each professional sphere. The article also addresses how the students develop Cognitive Academic Language Proficiency (CALP). The students not only master the subject but also improve foreign language skills by mastering lexico-grammatical patterns and discourse formulas focused on a specific subject area. Using several foreign languages (plurilingual approach) would allow the students to master the subject even more effectively.
New Structure Implementation for Foreign Policy Analysis of States
Authors: Kashin E. A.
Published: February 2023

Nowadays, there are loads of various ways to the study of international relations and the foreign policy of states, but the problem of structural analysis of the foreign policy of world leaders remains open. This problem solvation becomes in demand when there is a transformation in the balance of power in the international arena. Since ancient times, every powerful state has sought to expand its sphere of influence and establish itself as a hegemon. The study of foreign policy projects proposed or imposed by a Big Player helps to evaluate the effectiveness of the tools and predict the likely outcome. Russia has a long history of geopolitical struggle for a place among the globe powers. This work offers a new toolkit for the study of foreign policy activity — from the ideological level to practical implementation. As a part of the example, the author formed the Pax-model of modern China and showed the Pax-models of Russia during different historical periods.
Assessing method for meta-professional competencies in Russian educational institutions
Authors: Komissarov A. G. , Stepashkina E. A. , Soboleva O. B. , Guzhelya D. Yu. , Seleznev P. S.
Published: February 2023

University graduates may face challenges when solving actual business problems because of their lack of soft skills, which are often inferior to their hard skills. Their knowledge (hard skills) may be at a good level, but they often lack developed universal competencies (soft skills). The paper discusses the methodology for assessing the meta-professional competencies of university students based on the results of the pilot year of the project “Assessment and development of managerial competencies in Russian educational institutions”. The research developed psychometric methods and applied as assessment tools: a universal personality questionnaire, a vitality questionnaire, tests for the analysis of numerical and verbal information. The paper provides descriptions and justifications for the validity and tests reliability used to diagnose universal competencies, as well as the procedure for creating a composite construct. The authors propose a method for creating a composite score to combine the results of assessment using a battery of tests and questionnaires. The resulting composite score makes it possible to consider the links between the evaluated constructs and simplify the interpretation of the evaluation results.
Basic conceptual scheme of the threshing and separating device of the flax fiber combing machine
Authors: Burlakov Yu. V. , Chemodanov S. I. , Burlakovа S. V.
Published: February 2023

Harvesting of flax for fiber and seed production is carried out depending on the specific conditions by different technologies: direct, separate and factory. A technical and technological study of separate harvesting of flax fiber by improving the basic conceptual scheme of the picker-combing machine is presented. The traditional technologies of harvesting flax fiber and technical means that ensure the implementation of technological operations related to the separate technology of harvesting are considered. Disadvantages of the technical means used in the separate harvesting technology of flax fiber are revealed. They consist in varying degrees of impact of threshing and separating combing bodies of harvesting machines of both rake and rotor type on the stems, which causes uneven curing along their length and leads to the deterioration of fiber quality, reduction of the number of extra valuable long fiber and losses of the seed part of the crop. A conceptual scheme of the basic threshing and separating device of a roll-fulling type for separate technology of flax fiber harvesting by improving the picker- combing machine is proposed. The proposed device variant provides simultaneous threshing of flax fiber strips and creates favorable conditions for quality curing of straw to the state of flax straw simultaneously along the entire stalk length by its uniform conditioning in the gaps between the rubberized rollers. The combing header equipped with a threshing and separating device of the roll-fulling type allows to separate the seeds from the uncombed flax strip regardless of the location of the seed part relative to the movement direction of the harvesting machine. Versatility, simplicity and wide range of application of the threshing and separating device of the roll-fulling type are reasonable to use when designing machines for harvesting flax fiber for direct, separate and factory harvesting technologies.
Influence of cultivation technology elements on the weed component of agrophytocenosis in spring rape crops
Authors: Cherkasova E. A.
Published: February 2023

Data from field experiments for 2019-2021 conducted under conditions of the North Kazakhstan region are presented. The methods of improving the elements of cultivation technology of spring rape varieties and hybrids aimed at optimizing the indicators of productivity are shown. The species composition, biological groups of weeds, components of agrophytocenosis and the degree of weed infestation of spring rape varieties and hybrids were determined. Basic recordings and observations were made in accordance with the methodology of state variety testing. The following varieties were included in the study: Jubilee, Geros, Maikudyk, Hunter, Mahaon and hybrids: Caliber, Bilder, GEN0009. The study of varieties and hybrids was conducted in two experiments: on the background of two forecrops (complete fallow and spring wheat); by seeding rates (2.0; 2.5 and 3.0 million germinated seeds/ha). The 2019-2021 results show that the degree of infestation depended on the characteristics of the variety or hybrid. It was found that in the experiment on the forecrops the crops of spring rape on complete fallow were slightly cleaner. Due to the implemented agrotechnics, complete fallow allows you to clean the soil from weeds and accumulate moisture in the root layer, but statistically significant differences were not detected. The cleanest crops were the variety Maikudyk (2.6%) and the hybrid Bilder (2.8%). In the second experiment, it was found that increasing seeding rates from 2.0 to 3.0 million germinated seeds/ha led to a gradual decrease in weediness. The variety Maikudyk (degree of weeding 13.9%) and the hybrid Bilder (14.7%) had the lowest weediness in this experiment.
Effectiveness of fungicidal protection of spring wheat against powdery mildew and tan spot
Authors: Kekalo A. Yu. , Zargaryan N. Yu. , Nemchenko V. V.
Published: February 2023

The results of the study of the effectiveness of plant protection products against powdery mildew (Blumeria graminis) and tan spot (Pyrenophora tritici-repentis) for spring wheat are presented. It has been noted that the probability of mass destruction of crops by phytopathogens is determined by the stock of the infectious beginning of pathogens, the susceptibility of the host plant and the favorable weather conditions for their development and spread. The experiment was carried out using the methods generally accepted in the Russian Federation. During the observation period, the degree of plant damage of more than 20% in the heading phase was noted in 46% of the years of observation (in 2009, 2013, 2014, 2016, 2017). Epiphytotic development of powdery mildew together with brown leaf rust (Puccinia triticina Eriks.) was registered in 2013–2014 and 2016–2017. For 2009–2019 the degree of plant damage of more than 20% in the heading phase was noted in 46% of the years of observation (in 2009, 2013, 2014, 2016, 2017). Effective protection of wheat against powdery mildew (75–87%) was provided by fungicides based on 2–3 active ingredients. The biological effectiveness of the biofungicide (Bacillus subtilis) was manifested only in the years with moderate wheat damage and did not exceed the average level of 58%. It is more expedient to carry out operational control of yellow spotting of wheat leaves with preparations based on such active substances as "azoxystrobin + epoxiconazole", "tebuconazole + propiconazole". The level of statistically significant yield preserved due to fungicidal protection during the years of depression was 5–6%, with a moderate development of leaf diseases due to chemical fungicides - 18%, and the biological product provided an increase in productivity of 9%. During the years of epiphytoties, the chemical protection of crops retained an average of 24% of the wheat yield, polycomponent preparations had the best performance and stability of action, and the biological protection of plants under these conditions was ineffective.
Kompleks düzlemde büyük-ölçekli regresyon: Bilgilendirici olmayan verileri çevrimiçi olarak sansürleyen CRLS algoritmalarının başarım analizi
Authors: MENGÜÇ Engin Cemal
Published: February 2023

Büyük veri akışlarından anlamlı bilgilerin çıkarılması ve öğrenilmesi, toplumların yaşam kalitesinin artırılmasının, bilim ve mühendislik alanında yeni teknolojilerin geliştirilmesinin önünü açmaktadır. Öte yandan, sensör teknolojisindeki son atılımlar, hesaplama gücünün ve bilgisayar belleğinin artan kullanılabilirliği, verilerin sadece reel-değerli olmadığını artık büyük ölçekli kompleks-değerli veri kümeleriyle de başa çıkılması gerektiğini ortaya koymuştur. Bu amaç doğrultusunda, bu çalışmada, son zamanlarda önerilen çevrimiçi sansürleme (online censoring, OC)-tabanlı kompleks-değerli özyinelemeli en küçük kareler (OC based complex-valued recursive least squares, OC-CRLS) ve OC-tabanlı artırılmış CRLS (OC-ACRLS) algoritmalarının başarımları ilk defa büyük ölçekli regresyon problemleri üzerinde detaylı olarak test edilmiş ve literatürde yer alan klasik versiyonları ile karşılaştırılmıştır. Benzetim çalışmaları, OC-CRLS ve OC-ACRLS algoritmalarının, OC mekanizmasının getirmiş olduğu avantajlardan dolayı kompleks düzlemde tanımlanmış olan büyük-ölçekli regresyon problemlerinde eğitim süresini ciddi anlamda kısalttığını ve test başarımını negatif yönde etkilemediğini göstermiştir. Bu da OC-CRLS ve OC-ACRLS algoritmalarının, kompleks düzlemde tanımlanabilen büyük veri akışı uygulamalarında etkin ve güçlü algoritmalar olduğunu kanıtlamıştır.
User-Centric Measures of the Perceived Light Qualities of Lighting Products
Authors: Hiller Carolina , Boork Magdalena , Enger Johanna , Wendin Karin
Published: February 2023

Nowadays, lighting planning is predominantly determined by the need to meet physically measurable requirements that are often based on current lighting standards. However, meeting the minimum technical requirements of the standards is no guarantee for a visually appealing light environment. Instead, requirements based on perceived light qualities also need to be included to achieve better user comfort. Taking perception-based qualities into consideration when creating a light environment is, for many, not an easy task. In addition, a common terminology for perceived light qualities is currently lacking, both in industry and in research. The aim of this paper is, therefore, to explore how perceived light qualities of white light sources can be described when employing user-centric measures. The focus was on the qualities of light colour and diffuse and distinct light since these qualities have a great impact on the visual impression of light. The perception was assessed by applying analytical sensory analysis to lighting products, a method found to be promising in previous work. The methodology is based on analytical measurement by the human senses, which is particularly valuable when developing a general terminology. Since sensory analysis is still quite new to the topic of lighting, the applicability of using the methodology to assess lighting in a real context was also investigated. The results of the studies showed that the perception of light qualities can be described using further concepts in addition to those currently used. For light colour, the concepts of reddish, bluish, yellowish, and greenish light colours proved suitable for providing a richer description of the quality. The concepts of diffuse and distinct light satisfactorily captured variations in light contrast produced by shadows, reflections, and sparkles. In addition, the studies revealed that analytical sensory analysis was applicable for assessing the perception of lighting in a real-world context. The latter means that knowledge gained in the laboratory can be translated into real environments. The user-centric measures investigated in this paper have contributed to the terminology related to perceived light qualities. These can complement the physical measures in lighting planning to promote light environments that are not only energy efficient and meet technical requirements, but also cater for increased user comfort. Doi: 10.28991/ESJ-2023-07-02-022 Full Text: PDF
Reputational Risk: A Bibliometric Review of Relevant Literature
Authors: Nobanee Haitham , Elsaied Fayrouz Aksam , Alhajjar Maryam , Abushairah Ghada , Al Harbi Safaa
Published: February 2023

This paper focuses on analyzing the level of research development regarding reputational risk on a general basis to identify what topics remain to be investigated. As a result, it offers a broader scope of research, including research debates, resolutions, and gaps that are relevant to the topic. A bibliometric analysis has been employed in this study to identify the topic’s trends and pinpoint potential gaps in the literature. The data were collected from the Scopus database for the period of 1994–2022, where the search resulted in a total of 659 documents relating in any way to reputational risk that fit the selection criteria. Research shows that conducted investigations are in favor of reputation risk and e-commerce, reputation insurance, corporate social responsibility, operational risk, risk management, and sustainability reporting. However, some of the articles' results on related topics were contradictory, and others found no evidence relating to reputation risk; some other topics were not fully examined or presented in the literature. Therefore, the current topic-related literature does not suffice, and further research is required to cover more topics on reputation risk and further highlight alignment between similar studies. This study has brought to light the relevant papers related to reputational risk and demonstrated potential gaps in the literature by investigating articles’ contradictory results on the researched topics, in turn conveying which topics need further examination. Thus, the literature will continue to evolve as members of the global academic community strive to fill the gaps and identify potential rescue strategies for jeopardized business entities. Doi: 10.28991/ESJ-2023-07-02-025 Full Text: PDF
DESIGN OF ENTERPRISE ARCHITECTURE IN E-GOVERNMENT DEVELOPMENT USING TOGAF ADM 9.2 FRAMEWORK IN ELECTRICITY SECTOR OF DEPARTMENT ENERGY AND MINERAL RESOURCE OF WEST JAVA PROVINCE
Authors: Kencana Adam Satya , Fajrillah Asti Amalia Nur , Hanafi Ridha
Published: February 2023

Over the past few years, the Government has used information and communication technology to integrate its internal functions and improve service delivery. As part of the West Java Provincial Government, the Department of Energy and Mineral Resources has an active role in the West Java provincial government. The West Java Government's target is to improve electrical energy infrastructure that supports economic growth and access to electricity for households in remote areas so that they can contribute to improving electronic-based government system services in West Java Province. This research will be aimed at helping the effectiveness and efficiency of public services through the design of Enterprise Architecture (EA). This research will focus on business processes, data and information, applications, and services (excluding infrastructure and security). The final result of this research is an EA design blueprint that contains proposed solutions for business process improvements, data integration, application development, and fulfillment of public service needs concerning the Electricity Sector of the West Java Province ESDM Department in the hope of facilitating access to electricity services in West Java.
QUESTION ANSWERING FOR SUMEDANG LARANG KINGDOM USING THE MULTILAYER PERCEPTRON ALGORITHM
Authors: Hasanah Arifa Nur , Baizal Abdurahman , Dharayani Ramanti
Published: February 2023

In Indonesia, there were many kingdoms in the past, one of which was the Sumedang Larang Kingdom. Sumedang Larang is an Islamic kingdom under the control of the Pajajaran Kingdom. Through history, a nation will be able to recognize the origin of its own nation. Therefore, teaching about history is very important to be instilled from an early age. Through the rapid development of technology, teaching today is not only in the form of formal teaching, but also informal teaching. Nowadays, informal teaching can be done through various media, one of the media that is often used is gadgets. The utilization of gadgets as learning media allows a person to learn independently. One form of history learning by utilizing gadgets can be in the form of a Question Answering System (QAS). QAS allows users to ask questions using natural language and the system will answer the questions. Therefore, our research aims to help introduce the history of the Sumedang Larang kingdom to the public. We build a QAS by utilizing the n-gram model, Multilayer Perceptron (MLP) algorithm, and ontology. N-gram is used to cut words/sentences and convert them into a matrix, while MLP is used to classify texts, and ontology is used as knowledge representation. In this study, the system was able to answer 35 questions out of 61 questions, so it had an accuracy of 57.37%.
CLASSIFICATION OF DOG BREEDS FROM SPORTING GROUPS USING CONVOLUTIONAL NEURAL NETWORK
Authors: Pratama Naufal Harsa , Rachmawati Ema , Kosala Gamma
Published: February 2023

The use of convolutional neural networks has been applied to various applications. Such as image clas-sification, object detection and recognition, and others. One of the most popular uses for neural networks is image classification. Image classification mainly identifies and categorizes images according to the specified group. One application is to distinguish between one type of dog to another. Classification of dog breeds has its challenges because several kinds of dogs have similar physical characteristics, espe-cially those that belong to the same group. This study explains how to develop a dog breed classification system from a sporting group using a residual neural network (ResNet). The system's goal is to make it simpler for people to identify the dog breed. Five types of dog breeds were used, which were obtained from the Tsinghua Dogs dataset. In its implementation, two variants of CNN are used to be compared, ResNet 50 and ResNet 101, using the same configuration. Based on the research results, ResNet 101 shows better macro-average f1-score results while maintaining high accuracy. The ResNet 50 produces an f1-score of 84%, while ResNet 101 makes an f1-score of 86%.
Chatbot-based Culinary Tourism Recommender System Using Named Entity Recognition
Authors: Fajari Adri Nur , Baizal Abdurahman
Published: February 2023

Over the time, culinary tourism in several cities of Indonesia is growing rapidly, one example is culinary tourism in Bandung city. This makes it difficult for tourists to decide their choice. To overcome these problems, a recommendation system is needed. Thus, in this study we developed a chatbot-based conversational recommendation system to assist users in finding culinary tourism recommendations. The chatbot was built using Google Dialogflow platform and uses methods in Natural Language Processing, namely Named Entity Recognition. Named Entity Recognition was used to extract entities from user’s input, such as usernames and culinary preferences. To find culinary recommendations, TF-IDF and cosine similarity was used to find similarities between each culinary based on reviews, telegram was used as a medium to implement the chatbot that has been built. The chatbot has a good performance in providing culinary recommendations, it can be seen from the score obtained from usability testing on the recommendation aspect, which is 85.7%.
BANDUNG CITY TRAFFIC CLASSIFICATION MAP WITH MACHINE LEARNING AND ORDINARY KRIGING
Authors: Fazry Winico , Prasetyowati Sri Suryani , Sibaroni Yuliant
Published: February 2023

Congestion is a problem that occurs when the number of vehicles exceeds the capacity of the road and the vehicle speed slows down. This issue is one of the main issues in big cities, including Bandung. In this study, this study aims to reduce traffic congestion in the city of Bandung. The classification process in this study uses the Support Vector Machine (SVM), Naive Bayes, and Ordinary Kriging methods. The data used is traffic counting data from ATCS in Bandung and direct observation. The traffic count data obtained contains 3804 rows. Three experimental scenarios were carried out to validate the effectiveness of the model used, the performance of the first model without oversampling, the performance of the second model with oversampling, and the performance of the third model with hyperparameter adjustment. The experimental results show that the Support Vector Machine method has higher accuracy than the Naive Bayes method, which is 93%, while the Naive Bayes method has an accuracy of 90%. The application of hyperparameter tuning and over-sampling is proven to overcome the problem of data imbalance and get better classification results. In addition, the best classification results are used in making classification maps, namely the Support Vector Machine method, and assisted with ordinary kriging to predict the surrounding area. The results of the congestion classification map show that the southern area of the city of Bandung is more unstable than other areas of the city of Bandung.
Web Scraping with HTML DOM Method for Website News API creation
Authors: Firdian Maulana Irfan , Darwiyanto Eko , Adrian Monterico
Published: February 2023

Information is one of the important things in this era, one of the information that always exists every day is news. The amount of news that appears every day becomes a new problem when news websites do not provide API (Application Programming Interface) services to get the news. This is an obstacle for researchers who will analyze news topics. The copy and paste method is less effective in getting news every day on news websites because it takes a long time. In this research, web scraping is done with the HTML (Hypertext Markup Language) DOM (Document Object Model) method to retrieve data from news sites. The results of web scraping are in the form of datasets which are then entered into the database and made into an API. The API that has been created is tested using black box testing and testing the suitability of the data, between the data obtained when scraping and the data on the news website at the time of testing. The results of testing using black box testing show that the filters on the API created run according to their functions and get a high percentage of data conformity. The Tribunnews.com news website has a conformity rate of 99.2%, Detik.com of 97.9% and Li-putan6.com of 98.6%.
PREDICTION AND MAPPING RAINFALL CLASSIFICATION USING NAIVE BAYES AND SIMPLE KRIGING
Authors: Yoga Indra Kusuma , Prasetyowati Sri Suryani , Sibaroni Yuliant
Published: February 2023

This study discusses the development of a prediction model for the classification of rainfall based on time in Java. The method used in this research is naive Bayes and simple kriging. Naive Bayes is used for classification prediction, while simple kriging is an interpolation method used for mapping. There are two scenarios used, that is building a prediction model for daily and monthly rainfall classification, with data taken from 27 weather stations on the island of Java from 2010 to 2021. The results obtained in the classification process are an accuracy value of 67% for the daily model and 88% for the monthly model. The daily model data uses a spherical semivariogram with an average RMSE of 1,021. For the monthly model data using a Gaussian semivariogram with an average RMSE of 0,34. Then interpolation using simple kriging for mapping rainfall. The results of this study are predictions for the classification and mapping of daily rainfall models from April 1 to April 7 2022 and monthly models from April to September 2022. The contribution of this research is to provide predictive information and mapping of future rainfall so that public people can anticipate more.
SISTEM INFORMASI AKUNTANSI BERBASIS MOBILE ANDROID BAGI PELAKU USAHA DESA MURTIGADING BANTUL
Authors: Winarno Basuki Heri , Kusumawati Dara , Subagyo Aloysius Agus , Kartadie Rikie
Published: February 2023

Desa Murtigading, Kecamatan Sanden Kecamatan Bantul terdapat banyak sekali usaha industri rumahan yang menghasilkan beragam jenis produk. Beberapa masalah yang ditemukan yang menyebabkan kurang berkembangnya usaha mikro dan kecil di desa Murtigading adalah masih terbatasnya kemampuan pelaku UMKM dalam pemahaman akuntansi untuk pengelolaan keuangannya. Pencatatan transaksi masih dilakukan secara manual dan kurangnya pemahaman akuntansi membuka peluang terjadinya kesalahan pencatatan, sehingga informasi atau laporan keuangan yang dihasilkan tidak akurat dan tidak tepat waktu. Aplikasi sistem informasi akuntansi UMKM berbasis Android ini dikembangkan untuk membantu pelaku UMKM khususnya di Desa Murtigading Kecamatan Sanden, Kabupaten Bantul agar lebih mudah dalam pengelolaan atau manajemen keuangan dan pencatatan transaksi. Aplikasi ini dikembangkan dengan menggunakan model 4D yang merupakan singkatan dari empat tahap pengembangan, yaitu define, design, develop, dan disseminate. Perangkat lunak yang dipergunakan untuk mengembangkan aplikasi ini adalah game engine Unity. Berdasarkan hasil penilaian dari pelaku UMKM ditinjau dari aspek perangkat lunak diperoleh hasil penilaian dengan rerata 3,92 termasuk dalam kategori Baik. Penilaian dari aspek penggunaan bahasa dengan nilai rerata 3.79, termasuk dalam kategori Baik, dan penilaian desain visual diperoleh hasil rerata 4.21 termasuk dalam kategori Sangat Baik. Dan secara umum, penilaian oleh pelaku usaha diperoleh hasil rerata 3,97 yang termasuk dalam kategori Baik.
PARKING SENSOR SYSTEM UNTUK MENDETEKSI JARAK AMAN KENDARAAN MENGGUNAKAN SENSOR ULTRASONIC BERBASIS ARDUINO UNO ATMEGA328
Authors: Mardhalena Mayang Monica , Nathasia Novi Dian
Published: February 2023

Parking Sensor adalah bagian dari IOT (Internet Of Things) yang mana menggunakan sensor yang dapat berkomunikasi dan terhubung untuk bertukar data melalui internet dan berbagi informasi yang sudah ditetapkan. Parking sensor merupakan sistem sensor parkir secara otomatis yang bertujuan untuk memonitoring keamanan pada akses parkir. Pengemudi mobil tentu seringkali mengalami kesulitan untuk memarkirkan mobil di area parkir, penyebabnya lahan parkir yang semakin bekurang atau sempit, hal itu dapat mengakibatkan pengemudi yang menabrak tiang pembatas karena keterbatasan pandangan. Oleh sebab itu untuk mempermudah pengemudi dalam memonitoring deteksi jarak aman kendaraan, maka di buatlah sistem sensor parkir yaitu dengan suatu komponen Mikrokontroler Arduino Uno Atmega328 sebagai pengendali utama dan berfungsi untuk menginput dengan cara otomatis ketika pengendara memarkir mobil. Pada penelitian ini menggunakan Fuzzifikasi dan Defuzzifikasi untuk mempermudah memetakan nilai dari suatu ruang input ke dalam ruang output. Berdasarkan hasil uji yang telah dilakukan untuk mengetahui nilai akurasi rata-rata kesalahan dan keberhasilan dari pengambilan data dari pengujian parking sensor, hasil  yang telah dilakukan menunjukkan kesalahan atau error dari tahap karakterisasi sensor adalah 1.26% dan nilai akurasi sensor Ultrasonik HCSR-04 yang sebenarnya yakni sebesar 98.74%.
OPTIMALISASI PENGELOLAHAN DATA PADA KLINIK HEWAN BERBASIS WEB MENGGUNAKAN METODE SUBSET QUERY
Authors: Tirana Namira Ismi , Nathasia Novi Dian , Gunawan Arie
Published: February 2023

Klinik hewan umumnya belum memiliki sarana sistem informasi digital dan masih menggunakan sarana yang konvensional dalam pengelolaan datanya sehingga menyebabkan  tidak optimalnya pengelolaan data pada klinik tersebut. Dengan demikian, dibutuhkan sarana sistem informasi digital untuk mengatasi masalah dalam mengoptimalisasikan pengelolaan data. Pada penelitian ini menggunakan metode subset query  untuk mengoptimalisasikan pengelolahan data karena membutuhkan waktu yang relative lebih kecil dalam pengelolahan data untuk memproses data pada klinik hewan. Selain itu sistem penelitian ini juga menggunakan metode Framework Aplication of System Thinking(FAST) untuk pengembangan sistemnya dan PIECES Framework  untuk analisa sistem. Untuk pembangunan sistemnya menggunakan PHP dan MySQL. Hasil testing performa sistem dengan tool Google Lighthouse menunjukan nilai rata-rata berdasarkan performance 82,5(rata-rata),  sedangkan accesbility 82,25(rata-rata), dan best practice 98,75(sangat baik). Dengan sistem yang dihasilkan dapat mengoptimalkan pelayanan pada klinik hewan khusunya dalam hal pengelolaan data.
EVALUATION OF SAP IMPLEMENTATION ACCEPTANCE WITH THEORY OF PLANNED BEHAVIOR AT PT KERETA API INDONESIA (PERSERO)
Authors: Syauqie Audhini Salsabilla , Puspitasari Warih , Septiningrum Lutfia
Published: February 2023

PT Kereta Api Indonesia (Persero) is a State-Owned Enterprise (BUMN) that has the leading business process to provide, manage, and regulate rail services in Indonesia. SAP is one software that can support the company's business processes. SAP implementation has been carried out since 2012 until now. In implementing a system, success or failure can be assessed on non-technical aspects; namely, the user can accept and operate SAP properly. Thus, this study will analyze the success of SAP implementation, namely how, the attitude of users in accepting the use of SAP at PT Kereta Api Indonesia (Persero) using the theory of planned behavior models. The variables in this study are attitudes, perceived behavioral control, behavioral intentions, subjective norms, and behavior. In this study, behavioral intention and behavior explain how individuals operate SAP. Meanwhile, attitudes, subjective norms, and perceived behavioral control affect the individual's intention to operate SAP, and behavior is influenced by behavioral intentions. Data collection was carried out by distributing questionnaires to a number of respondents, as many as 20 SAP users at PT Kereta Api Indonesia (Persero). Data processing uses smartPLS 3.3.9 with a partial least square (PLS) approach. Hypothesis testing was carried out with a significance level of 0.05, and the results obtained were that attitude (attitude) had a positive and significant effect on behavioral intentions (intentions), behavioral intentions had a positive and significant influence on behavior, subjective norms, and behavioral control had a negative effect on behavioral intentions in using SAP.
Sistem Informasi Penjualan Kerajinan Koran Berbasis Web (Studi Kasus Toko Wisata Kampung Aer)
Authors: Yuliani Mareta , Andryani Ria
Published: February 2023

Kerajinan tangan adalah kegiatan seni yang mengolah bahan-bahan tertentu menjadi produk yang tidak hanya bermanfaat, tetapi juga mengandung nilai estetika . Kerajinan tangan biasanya mengutamakan keterampilan tangan sebagai media dalam membuat benda-benda kerajinan sehingga memiliki nilai jual yang tinggi. Kerajinan tangan bisa dilakukan dengan memanfaatkan barang-barang yang berlebihan yang kemungkinan bisa diolah menjadi barang-barang yang multi fungsi dan bernilai guna.  masyarakat yang tinggal di salah satu tempat destinasi wisata kampung aer yang terletak di pulau kemaro Sumatera Selatan,  berinisiatif untuk mendaur ulang limbah kertas  menjadi aneka produk fungsional yang bisa memanjakan mata semua orang, dan ini juga bisa menjadi solusi untuk mengurangi limbah kertas yang ada di kota Palembang.namun tempat yang sulit di jangkau pembeli, membuat penjual kerajinan koran hanya menunggu pengunjung yang datang berkunjung , Permasalahan yang dihadapi adalah minimnya strategi pengembangan usaha.toko WKA masih mengandalkan penjualan secara tradisional. sistem  pemasaran produk  masih manual, masih mengandalkan  media komunikasi,interaksi secara langsung  dengan konsumen  dan  masih  berpusat  pada  lokasi tempat  tertentu seperti  datang langsung ke toko atau ketika ada pameran. Permasalahan lain yaitu calon pembeli  seringkali  kesulitan  untuk mengakses informasi tentang produk dan informasi tentang harga produk. maka dari itu penulis berinisiatif membuatkan sebuah website toko wisata kampung aer (WKA) yang nantinya akan mempermudah pelanggan untuk membeli kerajinan koran tampa harus datang ke toko. Sistem Informasi ini di bangun menggunakan bahasa pemrograman PHP dengan Bahasa pemrograman MSQL serta framework  Laravel dengan menggunakan metode SDLC (Systems development life cycle) yaitu metode yang mengacu pada model dan proses yang digunakan untuk mengembangkan sistem perangkat lunak dan menguraikan proses.
Prediction of a Sprint Delivery’s Capabilities in Iterative-based Software Development
Authors: Hady Clements Enrico Bramantyo , Kusumo Dana Sulistyo
Published: February 2023

Iterative-based software development has been frequently implemented in working environment. A modern era software project demands that the product is delivered on every sprint development. Hence, the execution of a sprint requires ample supervision and capabilities to deliver a high quality product at the end of the software project development. This research’s purpose is to give support for a software project’s supervisor or owner in predicting the end product’s capability by knowing the performance level of each sprint. The method proposed for this purpose is to build a prediction model utilizing a number of features in a form of characteristics from a dataset containing software project iterations. The proposed model is built using Random Forest Regressor as a main method, with KNN (K-Nearest Neighbors) and Decision Tree Regressor being the comparison methods. Testing results show that compared to KNN and Decision Tree, Random Forest Regressor yields the best performance through its steady results on every stage progression of all tested software projects.
DEVELOPMENT OF WEBAPPS-BASED E-LEARNING AT SMK MIFTAHUL ANWAR MENES
Authors: Fahmi Mokh Sidqi , Aribowo Didik , Irwanto Irwanto
Published: February 2023

Limitations when teaching and learning in the classroom are sometimes many things that hinder teachers from all learning materials to students. This is a case topic for teachers who want to discuss in detail. This difficulty was complained by teachers and students at Miftahul Anwar Menes Vocational High School, sometimes material that needed explanation in class actually had to be explained in a significant amount of time. The method used was Research and Development (R and D) using the example of waterfall development, research and analysis of the required needs. To develop this online learning implementation design product, it uses several stages: 1) Needs Analysis 2) Design 3) Implementation 4) System testing. teachers students) then the final output is declared feasible using the output of the teacher's score the Category 53 Percentage Criteria table is in the interval X more than 42 while the students' Category Criteria Percentage table is 40.8. user ratings are in the interval X 39 which is in the "Very Eligible" category.
ANALYSIS OF THE IMPACT OF DISTORTION ON SOUND RECORDINGS AS ANTI FORENSIC ACTIVITIES
Authors: Wicaksono Hafizh Enggar Kuswiharso , Cahyani Niken Dwi Wahyu , Suryani Vera
Published: February 2023

Anti-forensics on audio is aimed at complicating investigations on audio forensics, on sound recordings. Sound recordings can be altered or manipulated in various ways as well as the provision of distortion effects on sound recordings.  Effect such distortions will make it difficult for investigators to find out the owner of the original voice.  Analysis of distortion effects on sound recordings for anti-forensic activities, has not been widely carried out. Distortion can be an effective anti-forensic technique because the sound produced will be noisy, making it difficult for investigators to conduct investigations. In this study, testing was carried out using 3 types of distortion, namely Hard Clipping, Hard Overdrive and Odd Harmonics.  To find out the extent to which the three types of distortions make it difficult to identify the owner of the original sound, the variables that affect each type of distortion are set at low, medium, and high levels. Formant values from the original and distorted sound samples were compared for later analysis using the Anova One-Way approach to show whether the original sound was identical and the other three voices were distorted. The test was carried out using 10 sound samples. From the results of the anova analysis, it is known that the types of Distortion of Hard Clipping and Odd Harmonics with variables at high levels can manipulate sound recordings, making it difficult to recognize the authenticity of a sound recording. Unlike the case with the type of Distortion of Hard Overdrive with variable level high – low and Hard Clipping and Odd Harmonics with variable level low – medium, it proves that sound recordings can still be identified.
DEPRESSION DETECTION ON SOCIAL MEDIA TWITTER USING XLNET METHOD
Authors: Apriliani Fika , Maharani Warih
Published: February 2023

Depression is a serious mental illness. Depression is usually characterized by feelings of sadness, hopelessness, anxiety, restlessness, and even loss of life. However, not everyone who experiences depression can get professional treatment. If depression is left unchecked, it can worsen the mental health conditions experienced by a person. Social media, one of which is the increasingly popular twitter can be utilized to help deal with the problem of undetected mental illness. Based on tweets made by a person twitter social media can be one of the sources to detect depression using the XLNet method. XLNet is one of the NLP (Natural Language Processing) techniques based on machine learning models on text. Based on several tests that have been carried out during the research such as testing various tuning hyper-parameters with different values on the XLNet model, it achieves a good performance value with an average accuracy value of 93.33%.
THE EFFECT OF CSR AND LEVERAGE ON FINANCIAL PERFORMANCE IN MANUFACTURING COMPANIES OF INDONESIA
Authors: Fauzy Rezki Achmad , Rakhmawati Ayu , Lestari Henny Setyo , Margaretha Farah
Published: February 2023

The primary goal of this research is to ascertain the effects of corporate social responsibility and financial leverage on the financial performance of 38 Indonesia Stock Exchange-listed manufacturing companies for three years (2019-2021). This study utilizes two independent variables, which are corporate social responsibility and financial leverage as assessed by the debt equity ratio (DER) in analyzing their impact on financial performance metrics like return on equity (ROE), return on assets (ROA), and earnings per share (EPS). Secondary data was gathered from the financial reports (comprehensive income statements and financial position statements) of chosen companies listed from the Indonesian Stock Exchange (IDX). Descriptive statistical tests, multiple linear regression tests and hypothesis testing were utilized to examine the research data. The analysis results reveal that Corporate social responsibility and leverage have a significant and favorable effect, as assessed by the debt-to-equity ratio on the financial performance of 38 companies.