bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan JST Backpropagation untuk Prediksi Siswa Penerima Bantuan
Authors: Supriyanto Supriyanto , Sunardi Sunardi , Riadi Imam
Published: October 2022

The role of education is to educate students and build quality human resources. School Operational Assistance (BOS) from the government is used to relieve students, not free schools but free students from school fees and extracurriculars. BOS can be used to provide scholarships to underprivileged students. Students are entitled to a scholarship if they meet three conditions, namely not having a Smart Indonesia Card (KIP), not having a Prosperous Family Card (KKS), and parental income of less than one million rupiah per month. The determination of BOS scholarship recipients is based on an agreement and joint decision by the management team, the teacher council, and the school committee. The process of determining students as scholarship recipients often encounters obstacles because it is done manually. This study applies backpropagation ANN to determine students who are eligible for BOS scholarships. The system is built based on the web using bootstrap as a framework, Javascript, and PHP. The training process uses a sample of 78 students with input architecture 4, hidden 6, output 1, learning rate 0.7, momentum 0.9, SSE 0.1, output 1, and a maximum of 10,000 iterations, an error of 0.03 is obtained. Testing with 21 student data obtained an error of 0.414923 and the accuracy of the test was 93.67%. The test results using the cause-effect graph technique can display the training process, graphs, error results, weight values and testing time with 93.67% success.
Analisis Keamanan Komunikasi VoIP Server Portable Dilengkapi OpenVPN Menggunakan Linux Asterisk
Authors: Putro Rapawuli Eko , Widiasari Indrastanti Ratna
Published: October 2022

Communication is a very important thing, VoIP is one of the supports that is often used to facilitate communication. VoIP is connected to the internet network so that communication can occur, but VoIP is very vulnerable to security problems in communication. It is very easy for eavesdropping to occur by parties who want to know ongoing information for certain purposes, therefore VoIP security must exist, openVPN is one that is often used. With services that are private / private so that the communication network is protected. In this security research, testing is carried out on a VoIP network with a linux asterisk server using a VPN and not using a VPN. With different results on tests of delay, packet loss, jitter. In the test made a phone call that was registered on the voip server so that the call could be made. The call test was carried out several times and for 6 days in order to see if the results produced were as expected because the internet network could also be disrupted by weather condition. The first phone call that was made without using a VPN the results that were obtained were not very good, in contrast to the second phone call that used a VPN the results produced by the analysis were better.
Penerapan Metode MOORA Pada Sistem Pendukung Keputusan Penilaian Kinerja Program Studi
Authors: Lestari Sri Poedji , Sudarsono Bernadus Gunawan
Published: October 2022

The Head of the Study Program is fully responsible for the process of academic sustainability activities in the study program he leads. In addition to being responsible for managerial functions, the Head of the Study Program is also responsible for whether or not the study program he leads is active or not. In addition, the Head of the Study Program must also be able to protect his subordinate members who are structurally in the study program. Therefore, the Head of the Study Program must be required to have high integrity and competence. So in this case, it is necessary to evaluate the performance of the highest leadership at the university. The performance assessment is carried out to assess whether the Head of the Study Program is still eligible to serve again for that position or not. So in this case the assessment must be carried out as well as possible and also as objectively as possible so that the results of the assessment carried out do not harm one party and can also be held accountable. Decision Support System is a system that is part of an information system that is able to process data and is used for organizations in helping managerial parties to solve semi-structured problems. The Multi-Objective Optimization method on the basis of ratio Analysis (MOORA) is a multi-objective method of optimizing two or more conflicting attributes simultaneously. The results obtained in research using Decision Support Systems get objective, optimal and also good results. The highest Head of Study Programs in a row are alternatives A2, A6, A5 and A4. As for the Head of the Study Program, the lowest ratings from the bottom are A1 and A3 respectively.
Implementasi Data Mining dalam Memprediksi Stok Herbal menggunakan Algoritma Apriori
Authors: Harahap Fitriana , Saragih Nidia Enjelita , Situmeang Ester Dayanti Paskaria , Tuti Elida , Ginting Erwin , Fahrozi Wirhan
Published: October 2022

Nafii Store is one of the stores engaged in selling herbal products. With the large number of public requests for herbal products during the COVID-19 pandemic, stock availability is needed to increase sales transactions for these products. To avoid the limited supply of herbs, an information system is needed that can help store leaders to find out what kind of products should be increased in stock according to customer demand. The appropriate application to overcome these problems is the development of the concept of data mining. Based on the Nafii Store herbal sales data sample, which amounted to 24 transactions, this study will use a minimum support = 16% and a minimum confidence = 70%. The results of the determination of the Association Rules and testing with the Tanagra application that the pattern of herbal purchases are: If you buy Baarik Forest Honey 800 grams then buy Baarik Forest Honey 470 grams 80%, If you buy Black Seed with Ajwa Kurma stamps then buy Darusyifa Black Bitter Honey 83.3%, If buy Darusyifa Bitter Black Honey then buy Black Seed with Ajwa Dates stamped 83.3%. The results of this study can be used by the store management to make decisions on the availability of herbal products at the Nafii Store.
Analisis Forensik Aplikasi Michat Menggunakan Metode Digital Forensics Research Workshop
Authors: Fanani Galih , Riadi Imam , Yudhana Anton
Published: October 2022

The development of information technology has had various positive and negative effects. The positive impact that information technology can have is to make it easier for people to communicate with others in the world, and the negative impact is that society is out of control when using its applications. It is an attitude that causes various crimes in the world caused by cyberspace (cybercrime) One of the most widely used instant messaging applications is Michat. The MiChat app causes cybercrime, pornography, online gambling, fraud, cyberbullying and drug trafficking. Evidence research is conducted using one of the frameworks of the digital forensic research workshop. In this framework, forensic identification, preservation, collection, investigation, analysis, and presentation phases are designed to find evidence of digital crime. The forensic tools used to collect evidence are mobility forensic express pro, a DB browser for SQLite, and oxygen forensic detective. Results are presented in the form of reports and evidence, and text chat files, contacts, images, audio, video, and web caches are generated. Forensic tools have a 100% success rate in finding evidence. Comparing the functions of the three forensic tools, the mobility forensic express pro has a processing rate of 66.7%, DB browser for SQLite has 33.3%, and oxygen forensic detective has 83.3%. Digital evidence can be used as corroborating evidence in a trial
Sistem Pendukung Keputusan Penentuan Lokasi Strategis Dalam Membangun Bisnis Usaha Menggunakan Metode Promethee II
Authors: Nursobah Nursobah , Andrea Reza
Published: October 2022

Business is a very important activity in advancing the economy of a region, business development certainly requires a strategic location in building a good image and opportunity in a new place, often businesses that have developed experience destruction and even substantial losses due to a decision. in choosing the wrong new location can affect the development of the pace of business and the business as a whole, mistakes in choosing a business location can result in many unwanted risks occurring in the future, several internal and external risks that will affect the company if one chooses a strategic location, so it is important take a decision in choosing a strategic location in building a business using a system, the system is able to calculate several possibilities with predetermined criteria, the decision support system in this research uses the promethee II method, the method this is a method developed from the promethee method, this method has a higher level of accuracy. The results of this study selected location A as an alternative that has the highest rating level of 0,081659, it shows that this location is the best location to set up a business
Implementasi Metode Certainty Factor Dalam Menentukan Perawatan Wajah Sesuai Dengan Jenis Kulit Wanita
Authors: Nova Meysi Yulia , Maharani Dewi , Sudarmin Sudarmin
Published: October 2022

Facial treatment is a comprehensive facial treatment. Starting from massage, facial cleansing with scrubs, chemical peels, exfoliation (microdermabrasion), extraction of blackheads, and giving facial masks according to skin type. Dr. Clinic. Aesthetic Center is a beauty clinic that not only provides facial skin care services, but also produces its own facial care products that have been registered with BPOM RI. At the clinic dr. Aesthetic Center The range to find out facial treatments that are suitable for skin type is done by coming directly to the clinic and conducting direct consultations with doctors. The limited number of dermatologists and doctor's practice hours as well as long distances make it an obstacle that is often experienced by most women who want to do treatment at the Beauty Clinic. So it can take a long time, cost and process. So we need an expert system application to find out the type of skin, the problems that arise, and the treatment actions taken based on the problems experienced by computerization. The design of an expert system using the Certainty Factor method of determining facial treatments is expected to help the results provide easy and fast facilities, especially in terms of health consultations and the delivery of information about facial skin types to the public to determine facial treatments that are suitable for skin types. From the weight calculation carried out in the case of oily skin, the highest percentage is 92% with the confidence level based on the Certainty Factor interpretation table is SURE.
Expert System Mengatasi Anxiety Disorder Pada Mahasiswa Dalam Menghadapi Tugas Akhir Metode Backward Chaining
Authors: Risfia Indah , Maharani Dewi , Dewi Muthia
Published: October 2022

Anxiety Disorder is a psychological disorder that can be experienced characterized by the emergence of various symptoms which cause the sufferer to experience anxiety that is so great and excessive that it is very possible to affect the sufferer psychologically or physically. The obstacles that are most often experienced by final year students in completing their final assignments are the emergence of excessive feelings of anxiety, feeling restless, easily tired, difficult to concentrate, empty thoughts. irritability, muscle tension, difficulty sleeping, cold fingers, faster heart rate, cold sweats, headache, decreased appetite, sleeplessness and chest tightness which is often referred to as Anxiety Disorder. The relevance of computerization and technology in expert systems in diagnosing anxiety disorders in final year students is needed to help students find solutions to their problems. Therefore we need a method that can assist the analysis of the expert system design that will be made in this study, namely the Backward chaining method. Backward Chaining is an inference method that works backwards towards the initial conditions. The process starts from the Goal (which is in the THEN section and the IF-THEN rule), then the search starts to run to match whether the facts match the premises in the IF section. This technological advancement can help transfer human understanding into a system form so that it can be used by many people and is not limited by time without replacing the role of humans.
Perancangan Arsitektur Sistem Informasi Pelayanan Kantor Kecamatan Dengan Menggunakan The Open Group Architecture Framework (TOGAF)
Authors: Laia Firdaus , Tjahjadi Djajasukma , Juliane Christina
Published: October 2022

Amandraya District Office is one of 35 sub-districts in South Nias Regency, Nias Island. Amandraya District consists of 21 villages and 79 hamlets. The Amandraya District Office is one of the government agencies in charge of carrying out several authorities in the Amandraya District area, covering the fields of economy, development, government, people's welfare, as well as various public service matters that are delivered and assigned directly. by the Regent of South Nias. However, until now the Amandraya District Office does not yet have a system that can simplify and streamline services within the government agencies. All activities or business processes at the Amandraya District Office are still carried out conventionally, both for employees and media for document management services or village archives and the general public. The enterprise architecture of the Amandraya District Office Information System is specifically designed to meet the needs of the government and society. The process of designing the enterprise architecture of the Amandraya District Office Information System is intended to assist employees in providing better services to the community optimally, as well as being able to create good governance. The research methodology used is interviews, observations, literature studies, literature reviews, using TOGAF ADM as a framework in architectural design. The results of the research are in the form of an architectural blueprint for the Amandraya District Office Information System that can be used as a reference in supporting business activities or processes at the Amandraya District Office, especially in villages and community service. departments in general, as well as being able to solve information system problems that are not yet integrated.
Penerapan Firebase Realtime Database Pada Aplikasi Media Informasi dan Pendaftaran Training IT Berbasis Android
Authors: Shonta Angga Arindra , Hamidah Laily Nur , Hasan Muhamad , Dewi Melany Mustika , Astuti Yuli , Wulandari Irma Rofni
Published: October 2022

Jogja IT Training Center (JITC) is a business entity that provides training in the field of information technology. JITC provides various kinds of related training. As a business entity engaged in the service sector, the dissemination of information is very important. Currently, JITC uses social media Facebook and Instagram to convey information to the public, but currently, it is not managed properly due to limited resources so the delivery of information and student registration is hampered. The student registration method is done manually and has to come to the office, so the number of students has decreased and resulting in a decrease in income. The conventional registrar data collection has many shortcomings, namely the data is not well documented, resulting in data loss and the search process takes a lot of time. Based on the existing problems, an android-based information and registration media application was built, this mobile application added the Firebase Realtime Database as a data storage platform for information and registrant data so that the training data can be accessed online and in real-time which can be integrated into one service. Firebase Realtime Database has many features and is accessed for free and has a fairly large data storage limit. The result of this research is an android-based application for information providers and registration services for new students.
Rekonstruksi Model 3D dari Set Citra Menggunakan Metode SFM-MVS dan Algoritma Poisson
Authors: Hanbudi Giri , Fauzi Esa
Published: October 2022

The digital creative industry is growing massively and very fast. The use of 3D technology in various industrial fields is also in demand, for example in the manufacturing, film, and animation industries. In a certain scene, generally 3D generalists will create a 3D model that resembles a real model in the real world which is usually used as a property in the 3D scene such as accessories, furniture, wardrobes, and so on. The process of modeling 3D models manually by a 3D generalist is a long process and requires a long time in the process, where the process generally includes 3d layouting, 3d modeling, and 3d texturing. Through this 3D model reconstruction process, 3D models can be obtained quickly, cheaply, and efficiently. This process can be carried out through several stages using a set of images from a model to be reconstructed. Several approaches can be used in this 3D model reconstruction process. In this paper, we will use the Structure From Motion (SFM) and Multi-View Stereo (MVS) methods to obtain information on the sparse and dense point clouds in the image, followed by The Surface Reconstruction process using the Poisson Algorithm to obtain a triangle mesh from the actual shape of the object. The refinement process on the triangle mesh results is carried out in order to get maximum results. Through a combination of these methods, we managed to get a detailed and accurate 3D model with the real object being observed.
Clustering Pengunjung Mall Menggunakan Metode K-Means dan Particle Swarm Optimization
Authors: Dista Teuku Muhammad , Abdulloh Ferian Fauzi
Published: October 2022

This research aims to cluster mall visitors. This is motivated by the mall's income which has decreased since the pandemic. Later from these several clusters we can find out the characteristics of the mall's visitors. Those characteristics will be used later to increase the income from the mall. In this research, we use a dataset from Kaggle named Pengunjung_mall in CSV format which will later be processed using Python language on Jupiter Notebooks using the K-Means method. To ensure how accurate the K-Means method is, optimization is carried out using the PSO (Particle Swarm Optimization) method. After performing clustering and optimization using Jupyter Notebook, the results will then be evaluated with DBI (Davies Bouldin Index) in Microsoft Excel to find out how well the Clustering is generated. The Clustering results obtained are used as a reference to determine the characteristics of mall visitors which is one strategy to increase Mall profits. As a result, we have succeeded in dividing mall customers into 5 clusters based on their annual earned income and expense scores. The cluster has been optimized with PSO and has succeeded in increasing the cluster resulting from the K-Means method which is proven by the Davies Bouldin Index method. This research has concluded that customers who have high income levels and have high spending scores are the targets with the highest priority level for malls.
Rancang Bangun Perangkat Wearable Pemantau Kondisi Kesehatan di Masa Pandemi Covid-19
Authors: Rahayu Endang Sri , Listanto Listanto , Diharja Reza
Published: October 2022

Wearable device is a device that is worn on the body to measure the clinical parameters of the body. The purpose of using this tool is to determine the value of each parameter being measured. In this research on the design of wearable to monitor health conditions during the Covid-19 pandemic, wearable made to measure body temperature, oxygen saturation (SpO2) which is a clinical parameter of the body during the Covid-19 pandemic. In addition to helping prevent the transmission of the Covid-19 virus, this tool also realizes physical distancing automatically. This study describes the manufacture of technological tools that are appropriate and useful for the community, as a solution to the problem pandemic Covid-19This tool can perform (1) physical distancing automatically, (2) monitor oxygen saturation (SpO2) in real time. (3) monitored body temperature in real time, and equipped with an Android application for monitoring. The variables studied in this study were the manufacture of tools equipped with Bluetooth Low Energy (BLE) technology, besides the microcontroller and an android application based on the Dart programming language with the Software Development Kit Flutter from the results of observations and analysis, it is known that BLE technology is efficient for use for Internet of Things, and short-range communication. BLE can realize distance measurements to provide physical distancing automatically by using Received Signal Strength Indication (RSSI), ranging from 0cm to100 cm. The results of measuring SpO2 and body temperature on wearable monitor health conditions during the Covid-19 pandemic using the MAX30102 sensor can work well. The results of the SpO2 measurement get a standard deviation value of 0.96%, while the results of body temperature measurements get a standard deviation value of 1.64%.
Analisis Sentimen Ulasan Hotel Bahasa Indonesia Menggunakan Support Vector Machine dan TF-IDF
Authors: Thomas Vincentius Westley Dimitrius , Rumaisa Fitrah
Published: October 2022

Reviews of a service, especially hotel services, have an important role to play in consumer decisions. Tripadvisor is a guide and reference platform for travelers in finding information about the hotel services in various countries. There are many reviews about hotels on the platform so that readers are difficult to make decisions so it is necessary to conduct a sentiment analysis that aims to dig up information from existing reviews. The initial stage is by labeling (positive, neutral, negative) to the review. Then the preprocessing stage so that the review can be easily processed, then from that stage continued weighting using Term Frequency - Inverse Document Frequency (TF-IDF) using the best parameters, after weighting the data, then the next is the distribution of data into training data, validation and test. The data are entered into the machine learning process using Support Vector Machine (SVM) and obtained the accuracy of the model by 85%. For testing scenarios if not using slang handling get F1-Score by 80% and if not using stopword get F1-Score by 82%. On the evaluation of the performance of the model using K-Fold obtained the best results on the Fold-7 with a precision value of 87%, recall 86%, F1-score 86%, and accuracy of 87%.
Evaluasi Hasil Pengujian Tingkat Clusterisasi Penerapan Metode K-Means Dalam Menentukan Tingkat Penyebaran Covid-19 di Indonesia
Authors: Virantika Elsa , Kusnawi Kusnawi , Ipmawati Joang
Published: October 2022

Coronavirus Diseases 2019, often known as COVID-19 is an infectious disease caused by the SARS-CoV-2 virus. Indonesia has a large area so that it is easy to contract COVID-19 and the spread of the Covid-19 virus in Indonesia is growing quite rapidly. Based on the region in Indonesia, it can be grouped into parts of the provinces in Indonesia and generate provincial points for the distribution of Covid-19 cases, aiming to create a strategy for handling the spread of COVID-19 in all provinces in Indonesia. The grouping of the level of spread of COVID-19 is carried out using a data mining method, namely the k-means clustering algorithm by grouping data into several clusters based on the similarity of the data. Based on the results of the study, 3 clusters were identified, namely cluster 0 with a low level of distribution of Covid-19, 12 provinces, cluster 1 with a moderate level of distribution of COVID-19, 18 provinces, and cluster 2 with a high level of distribution of COVID-19, 4 categories. province. Based on the results of this study, it is hoped that it can provide information and support the government to make strategic decisions in each cluster to reduce the level of spread of COVID-19 in Indonesia.
Identify User Behavior based on Tweet Type on twitter Platform using Mean Shift Clustering
Authors: Fikriyah Saniyah Nabila , Sibaroni Yuliant
Published: October 2022

Twitter is a social media where users often get information from various fields. There are many problems with Twitter. For example, in Indonesia's political field, discussing the performance of the President of Indonesia and his staff who are not good, students and the public hold demonstrations in DKI Jakarta. They want the President of Indonesia to step down from office. When the problem is trending, some users have positive (praise) and negative (blasphemous) behavior, which is interesting to discuss in this study. Before the method stage, data preprocessing is carried out so that the data to be used becomes more efficient. Word weighting is also done using the TF-IDF Vectorizer. Then, the clustering method with the Mean Shift algorithm is applied to identify user behavior based on the type of tweet. This method can find information from a vast data set in a short time. Based on this algorithm, the results obtained are 67 clusters from the Mean Shift algorithm. From a total of 67 clusters obtained, 5 clusters were taken to identify user behavior. User behavior in clusters 0, 2, 3, and 4 is negative because it discusses the people who want the President of the Republic of Indonesia to resign from his position immediately. Meanwhile, user behavior in cluster 1 is positive because the topics discussed only information that the people of Lampung are already in Jakarta.
Perancangan Alat Identifikasi Wajah Dengan Algoritma You Only Look Once (YOLO) Untuk Presensi Mahasiswa
Authors: Salamah Irma , Said M. Redho Ali , Soim Sopian
Published: October 2022

Presence is an important thing in educational world especially higher education. One of students’ success keys is in their presence because it has correlation to the learning quantity carried out by a college student. Some colleges whose learning conducted face to face still use conventional way by using attendant list sheet until this system is felt less effective in the middle of digitalization development marked by the increase of technology usage. Face recognition attendance technology is a technology which can be adapted from one of artificial intelligence science namely machine learning. Machine learning with deep learning branch becomes the solution which eases human’s work. In its process, face recognition requires certain accurate face detection with certain algorithm. In this research, the method used was You Only Look Once (YOLO) algorithm where to follow some research which had been conducted previously it has high accuracy in face prediction. The test results obtained an average accuracy of 0.9793 by paying attention to parameters such as lighting and real-time sending to the website. Through this research, it is hoped that the attendance process will be more effective and can be monitored by lecturers.
Analisis Sentiment Pelanggan Terhadap Penilaian Produk Pada Toko Online Shop Amreta Menggunakan Metode Naïve Bayes Classification
Authors: Stone Alisia Silver , Fathoni Fathoni
Published: October 2022

Sentiment analysis or opinion mining is an analysis that aims to see the sentiment of people or groups regarding certain entities. The sentiments expressed by society can be in positive, negative and neutral form. One media that can be given an opinion by the public is in the e-commerce application,  namely the shopee application, shopee has a comment or assessment feature on the product that has been purchased. Toko which was used as a sample of researchersis an amreta online shop store  , based on the results of the identification of the problem, it was found that the fact was that many comments did not match the stars given so it can be said that the rating cannot represent that the store's performance is good or not. Therefore, to increase the profit of shop work, the amreta still needs to evaluate the store. In conducting an evaluation, the store needs to classify positive, negative or neutral comments. Analysis of customer sentiment towards product assessments in amreta online shop stores using the naive bayes classification method. The use of test data in this study was obtained from the sentiment of amreta online shop consumers as much as 2014 data,then the data was processed through  the data cleaning process  resulting in net data of 1899 data. Furthermore, the data preprocessing process is divided into 3 stages, namely Tokenize Data, Transform case and Stopword removal. After that, the analysis of data for the automatic labeling stage using Text Vectorize from the process obtained data division into 3 data groups of 71% or 1343 positive data, 3% or 52 negative data and 26% or 504 neutral data.  furthermore, it is processed using rapidminer tools while for operators in the form of algorithms using the Sentiment Naïve Bayes Classification model  through automatic calculations.  The results of the study can be concluded that the test data obtained have an accuracy level of 97.16% using the Naive Bayes Classification model.
Хетоцерос: модуляция роста и состава под действием салициловой кислоты
Authors: Ковалев Николай Николаевич , Лескова Светлана Евгеньевна , Михеев Евгений Валерьевич
Published: October 2022

Предложены различные стратегии коррекции содержания белка и липидов в микроводорослях. Одним из таких подходов является использование стимуляторов роста (фитогормонов). Определено влияние различных концентраций салициловой кислоты на ростовые и биохимические показатели Chaetoceros muelleri в накопительной культуре. По сравнению с контролем стимулирующий эффект для концентрации фитогормона 2,8 · 10–7 М/л составил 204 % на 5-е сутки культивирования. Прирост концентрации белка составил 45,1 % по сравнению с исходными значениями за тот же период. В контрольной группе культуры C. muelleri концентрация белка за такой же период увеличивалась на 329,3 %. Отмечен рост концентрации углеводов на 5-е сутки культивирования в контрольной группе в 3,1 раза, в экспериментальной группе — в 4,5 раза по сравнению с исходными значениями. Прирост концентрации липидов в контрольной культуре составил 86,2 %, в экспериментальной — 146,8 %. Различие в концентрации хлорофилла на 5-е сутки культивирования между контрольной и опытной культурами составило 1,23 мкг/мл, или 57 %. Через 5 дней культивирования в контрольной культуре возрастало процентное соотношение белка и углеводов при снижении содержания липидов. За 5 суток культивирования калорийность контрольной культуры возросла на 153,4 %, в экспериментальной — на 243,8 %. Фитогормон стимулирует накопление основных компонентов состава, что сопровождается увеличением энергетической ценности биомассы микроводоросли. Полученные данные позволяют модифицировать биотехнологию культивирования кормовой микроводоросли.
Оценка коллекционных образцов проса по качественным показателям в условиях Северного Казахстана
Authors: Долинный Юрий Юрьевич , Коберницкий Владимир Иванович , Коконов Сергей Иванович
Published: October 2022

Просо обыкновенное (Panicum miliaceum) — типичный ксерофит, и для условий сухостепной зоны Казахстана оно является одной из наиболее приспособленных культур, что и определяет его ареал для пищевых и кормовых целей. Изучены биохимические и технологические свойства коллекционных образцов проса в условиях степной зоны Северного Казахстана за 2015 – 2017 гг. Целью исследований являлось вовлечение лучших линий и коллекционных образцов проса различных эколого-географических групп, отличающихся по содержанию белка, массе 1000 зерен, натуре, пленчатости, выравненности, крупности и выходу крупы, в селекционные программы. Контрастные агроклиматические условия на протяжении 3 лет испытания способствовали качественной оценке коллекционного материала проса. Выделены образцы проса К-2432 (Алтайский край), К-9989 (Барнаульское 80), превосходящие стандартный сорт соответственно: по содержанию белка (15,2 и 15,3 %), массе 1000 зерен (8,2 и 8,1 г), натуре зерна (752 и 751 г/л), пленчатости (16,8 и 16,6 %), выравненности (97,8 и 97,5 %), выходу крупы (83,1 и 83,0 %). Лучшие сортообразцы, обладающие высокими качественными показателями, включены в признаковые коллекции, а также в селекционный процесс в качестве исходного материала.
Some Conceptual and Empirical Shortcomings of IIT
Authors: Kelly Edward F.
Published: October 2022

The Integrated Information Theory of consciousness (IIT) has generated much excitement inside and outside the scientific community, and seems to many the leading contender for a satisfactory theory grounded in systems neuroscience. It is a bold theory, one that provides plausible explanations for various recognized neuroscientific facts, makes surprising predictions that go beyond current scientific orthodoxy but are potentially testable, and has inspired development of what appears to be an effective technique for detecting the presence of consciousness in organisms incapable of verbal report, such as non-human animals, neonates, and severely brain-damaged adults. Despite these virtues, IIT appears fundamentally flawed: This paper first revisits some key conceptual and technical issues that have been raised previously but remain unresolved—in particular, issues concerning IIT’s concept of “information” and its approach to the “hard problem”—and then focuses on several empirical phenomena that IIT seems unable to handle satisfactorily. These include: 1. cases of multiple personality or dissociative identity disorder in which complex and overlapping centers of consciousness co-occur in single human organisms; 2. the failure of the intense phenomenology of psychedelic states to be straightforwardly reflected in accompanying neuroelectric activity; and, most critically; 3. the occurrence of profound and personally transformative near-death experiences (NDEs) under extreme physiological conditions such as cardiac arrest, in which IIT predicts that no conscious experience whatsoever should be possible.  These empirical arguments show that IIT itself is untenable, and they apply also to its physicalist competitors. Scientifically and philosophically respectable alternatives, however, are available.
Daniel P. Brown (1948-2022)
Authors: Easterlin Barbara
Published: October 2022

Obituary for Daniel P. Brown, Ph. D.
Recent Publications of Note 2(2)
Authors: Cardeña Etzel
Published: October 2022

Annotated bibliography
Antibacterial and antibiotic-potentiation activity of Coffea arabica and six other Cameroonian edible plants against multidrug-resistant phenotypes
Authors: Moungoue Ngwaneu Louise S. , Mbaveng Armelle T. , Nayim Paul , Wamba Brice E. N. , Youmbi Laetitia M. , Bonsou Idrios N. , Ashu Fred , Kuete Victor
Published: October 2022

Background: Medicinal plants have always played an important role in human health. Many plants are traditionally used as drugs against microbial infections. In this study, a panel of seven methanol extracts from Cameroonian edible was assessed for their antibacterial potentiality against multidrug-resistant Gram-positive and Gram-negative bacteria. Methods: The microdilution technique using a 96-well plate was used to assess the minimal inhibitory concentration (MIC) and minimal bactericidal concentration (MBC) of the crude extracts, as well as their potential to improve the antimicrobial activity of certain families of antibiotics. Phytochemical screening of the extracts was carried out according to the standard methods. Results: The most detected classes of pharmaceuticals were tannins, triterpenes, polyphenols, and steroids. Coffea arabica bark extract inhibited all 20 tested MDR bacteria strains; Coffea arabica leaf and seeds extracts, Adansonia digitata bark extract, Sechium edule leaf extract, all inhibited 95% (19/20) of the strains tested, Beilschmeidia louisii stem extract inhibited the growth of 85% (17/20) of the tested bacteria, while Hyphaene therbaica displayed 70% (14/20) bacterial inhibition. The MIC values of the plant extracts ranged from 256 to 2048 μg/mL. However, the best MIC value (256 μg/mL) was obtained with B. louisii stem extract against E. coli AG102 and S. aureus MRSA12. The leaf extract of S. edule improved the anti-bacterial activities of kanamycin, tetracycline, and Cloxacillin against the MDR strain P. stuartii 29916 by up to 16 times; furthermore, this extract improved the antibacterial effect of tetracycline, Cloxacillin, kanamycin, and doxycycline by 16 folds against the MDR strain E. coli AG100ATET; the bark extract of C. arabica improved the activities of ofloxacin, chloramphenicol the activities of ofloxacin, chloramphenicol, and doxycycline toward all the tested MDR Gram positive and Gram-negative bacteria with improvement activity factor (IAF) ranging from 2 to 16, while the leaf extract of B. louisii increased up to 8-fold the activity of Cloxacillin against P. aeruginosa PA 124. Conclusion: Coffea arabica, Adansonia digitata, Sechium edule, and Beilschmeidia louisii are the explorable sources of antibacterial agents usable alone or in combination with conventional antibiotics to tackle diseases caused by resistant bacterial phenotypes. Keywords: Bacterial infections; Cameroon; edible plants; Multidrug resistance; Antibiotic-potentiation.
KESEJAHTERAAN SOSIAL BAGI TENAGA KESEHATAN YANG BERADA DI LINGKUNGAN RUMAH SAKIT
Authors: Suprapto Atlingga Edi
Published: October 2022

Latar Belakang : Tenaga Kesehatan merupakan komponen utama pemberi pelayanan Kesehatan kepada masyarakat dalam rangka mencapai tujuan pembangunan kesehatan dengan tujuan nasional. Tujuan : Untuk mengetahui tingkat kesejahteraan sosial tenaga kesehatan di Rumah Sakit. Metode : Metode kajian ini menggunakan jurnal dan e-book dengan system literature review dengan menganalisis mengeksplorasi, dan kajian bebas dengan menggunakan kata kunci Kesejahteraan sosial, Tenaga Kesehatan di Rumah Sakit. Pembahasan : Kesejahteraan sosial sebagai tujuan akhir dari kegiatan pembangunan nasional, berarti ada suatu pra kondisi yang menentukan pencapaiannya Kata kunci : Kesejahteraan Tenaga Kesehatan Rumah Sakit.
Research work on biosynthesized nanoparticles.
Authors: Ghillani Diptiban
Published: October 2022

Research work on biosynthesized nanoparticles.
Differential expression of BID in amyotrophic lateral sclerosis.
Authors: Mamoor Shahan
Published: October 2022

Neurodegenerative diseases that affect the motor neurons, including amyotrophic lateral sclerosis (ALS), have little treatment options and are generally rapidly fatal (1, 2). We harnessed the power of unbiased, whole transcriptome differential gene expression analysis, utilizing primary patient cells and tissues to discover genes whose expression defines ALS using public and published data (3, 4). We found significant differential expression of BID, encoding BH3-interacting domain death agonist, in iPSC-derived motor neurons of patients with ALS. BID was also differentially expressed in fibroblasts isolated from patients with ALS. BID transcript was present at significantly higher levels in ALS iPSC-derived motor neurons as compared to controls. These analyses will begin to define the transcriptional landscape of ALS.
Передовые исследования Кубани: Сборник материалов Ежегодной отчетной конференции грантодержателей Кубанского научного фонда (г. Сочи, 20–22 июня 2022 г.) = Advanced Research of the Kuban: Collection of Materials of the Annual Reporting Conference of Grant Holders of the Kuban Science Foundation (Sochi, June 20–22, 2022)
Authors: Bakumenko Gennady , Gaidukov Vadim G. , Владимирович Анисимов Виктор
Published: October 2022

The collection presents to the scientific community selected articles based on the reports of the Annual Reporting Conference of Grant Holders of the Kuban Science Foundation.Fund experts tried to highlight the advanced achievements of Kuban scientists in order to reflect in the collection the most relevant areas of scientific and technological development of the region.The book will be useful to students and young scientists, specialists of certain branches of science and managers of regional scientific and technological development.Сборник представляет научному сообществу избранные статьи по докладам Ежегодной отчетной конференции грантодержателей Кубанского научного фонда.Эксперты фонда постарались выделить передовые достижения кубанских ученых, чтобы отразить в сборнике наиболее актуальные направления научно?технического развития региона.Книга будет интересна студентам и молодым ученым, специалистам отдельных отраслей науки и менеджерам регионального научно-технического развития.
Reconfigurable fractional microwave signal processor based on a microcomb
Authors: Moss David
Published: October 2022

We propose and demonstrate reconfigurable fractional microwave signal processing based on an integrated Kerr optical microcomb. We achieve two forms of microwave signal processing functions – a fractional Hilbert transform as well as a fractional differentiator. For the Hilbert transform we demonstrate a phase shift of 45 degrees – half that of a full Hilbert transform, while for the differentiator we achieve square-root differentiation. For both, we achieve high resolution over a broad bandwidth of 17 GHz with a phase deviation of less than 5° within the achieved passband. This performance in both the frequency and time domains demonstrates the versatility and power of micro-combs as a basis for high performance microwave signal processing.
ANALISIS PEMERATAAN PROGRAM KESEHATAN PENCEGAHAN STUNTING PADA BALITA DI MASYARAKAT PEDESAAN DALAM LINGKUP POSYANDU
Authors: Febrianita Vina
Published: October 2022

Stunting adalah ketika seorang anak tidak tumbuh atau terlalu kecil dibandingkan dengan anak-anak lain pada usia yang sama. Penyebab langsungnya adalah masalah gizi, dan penyebab tidak langsungnya dipengaruhi oleh ekonomi, perdagangan, urbanisasi, globalisasi, sistem pangan, jaminan sosial, kesehatan, pembangunan pertanian dan pemberdayaan perempuan. Pada tahun 2018, prevalensi stunting di Indonesia sebesar 30,8%. Angka tersebut melebihi target RPJMN sebesar 28% pada tahun 2019 dan target WHO sebesar 20% prevalensi stunting pada tahun 2025 dan 0% pada tahun 2030. Studi ini menganalisis karakteristik rumah tangga, ibu dan anak, serta skenario yang dapat dibuat pemerintah untuk mencapai tujuan tersebut. Berat lahir, ukuran ibu yang kecil, akses ke perumahan, fasilitas sanitasi, akses ke air bersih, dan kelahiran prematur pada anak di bawah lima tahun ditemukan secara signifikan terkait dengan persalinan. Stunting di bawah usia 5 tahun. 5 tahun. Untuk mengurangi jumlah bayi berat lahir rendah, mengurangi jumlah ibu kecil, mengurangi stunting di pedesaan. Program seperti ini diharapkan dapat dilakukan berkelanjutan untuk membantu mencegah stunting di Indonesia.
Differential expression of TXNRD2 in amyotrophic lateral sclerosis.
Authors: Mamoor Shahan
Published: October 2022

Neurodegenerative diseases that affect the motor neurons, including amyotrophic lateral sclerosis (ALS), have little treatment options and are generally rapidly fatal (1, 2). We harnessed the power of unbiased, whole transcriptome differential gene expression analysis, utilizing primary patient cells and tissues to discover genes whose expression defines ALS using published data (3, 4). We found significant differential expression of TXNRD2, encoding thioredoxin reductase 2, in the motor neurons of patients with ALS. TXNRD2 was also differentially expressed in iPSC-derived motor neurons isolated from patients with ALS in a separate microarray dataset. TXNRD2 transcript was present at significantly higher levels in ALS patient motor neurons as compared to control motor neurons. These analyses will begin to define the transcriptional landscape of ALS.
Pasar Uang Syariah
Authors: Resky Andi Sry Aska
Published: October 2022

Pasar Uang dengan Pasar Modal itu berbeda. Dimana dalam Pasar Uang orang menjual surat berharga karena butuh uang, tetapi jika Pasar Modal menjual surat berharga untuk mengembangkan usaha. Maka dari situlah mengapa dikatakan bahwa Pasar Uang itu Jangka Pendek, sedangkan Pasar Modal itu untuk Jangka Panjang.
AITools toImproveSustainability inEducation ofUniversities
Authors: Tahir Fatima
Published: October 2022

AITools toImproveSustainability inEducation ofUniversities
Characterization Techniques for Biosynthesized nanoparticles
Authors: khan Sharjeel
Published: October 2022

Characterization Techniques for Biosynthesized nanoparticles
PENTINGNYA SILA KEDUA DALAM KEHIDUPAN
Authors: audisya meindia bintang
Published: October 2022

Pancasila merupakan dasar dan sekaligus ideologi negara Indonesia yang berfungsi sebagai landasan berinteraksi dalam kehidupan bermasyarakat, berbangsa, dan bernegara. Di era sekarang ini Pancasila mulai kehilangan rohnya, nilai-nilai Pancasila yang bersumber dari kepribadian bangsa (philosophisce gronslag) Indonesia mulai luntur sebagai akibat dari penyelewengan implementasi nilai-nilai Pancasila diera sebelumnya dan juga masuknya arus globalisasi yang tak terbendung. Sila kemanusiaan yang adil dan Beradab mengandung pesan moral bagaimana seharusnya masyarakat bangsa Indonesia bisa menghargai menghormati manusia yang lainnya tanpa adanya diskriminasi (memanusiakan manusia) sesuai dengan harkat dan martabatnya yang telah diamanatkan.
Rural identity and LGBTQ public opinion in the United States
Authors: Thompson Jack
Published: October 2022

Opposition to LGBTQ rights remains a contemporary fixture within the United Statesin spite of increasingly liberalizing attitudes towards LGBTQ individuals. In this paper, I argue that an overlooked factor driving this opposition is rural identity – or the extent of an individual’s psychological attachment to a rural area. Recent work posits that the term “urban” may function as a blanket term for outgroups who tend to cluster within urban areas of the US. I extend this argument by positing that a prominent “urban affiliated” outgroup are LGBTQ individuals. Using data from the 2020 ANES, I find that rural identity predicts less favorable estimations of LGBTQ individuals. Individuals who identify as rural are also less likely to support pro-LGBTQ policy measures than individuals who do not identify as rural. Crucially, rural identity is a stronger predictor of group-based affect and attitudes towards LGBTQ policy measures than actual rural residency. This lends weight to the argument that simply living in a rural area does not capture the affective dimension of place-based attachments. These findings have implications for when it means to hold a rural identity beyond a generalized animosity towards urban areas, and for understanding urban-rural divergences in US public opinion on issues such as LGBTQ rights.
Adjustments to the Olanzapine structure
Authors: Tabaee Damavandi Pardis
Published: October 2022

The design of 3 potential Olanzapine derivatives is presented to potentially reduce unwanted side effects.
Differential expression of CXCL5 in amyotrophic lateral sclerosis.
Authors: Mamoor Shahan
Published: October 2022

Neurodegenerative diseases that affect the motor neurons, including amyotrophic lateral sclerosis (ALS), have little treatment options and are generally rapidly fatal (1, 2). We harnessed the power of unbiased, whole transcriptome differential gene expression analysis, utilizing primary patient cells and tissues to discover genes whose expression defines ALS using published data (3, 4). We found significant differential expression of CXCL5, encoding C-X-C motif chemokine ligand 5, in iPSC-derived motor neurons of patients with ALS. CXCL5 was also differentially expressed in fibroblasts isolated from patients with ALS. CXCL5 transcript was present at significantly higher levels in ALS patient iPSC-derived motor neurons. These analyses will begin to define the transcriptional landscape of ALS.
FUNGSI DAN PERANAN BANK SYARIAH DAN LEMBAGA KEUANGAN NON-BANK
Authors: ramdhani ulfa
Published: October 2022

Bank syariah merupakan bank yang beroperasi sesuaimenggunakan prinsip – prinsip Islam, yakni bank menggunakan tata cara dan operasinya mengikuti ketentuan – ketentuan syariah Islam. Salah satunya unsur yg wajib dijauhi pada muamalah Islam merupakan praktik – praktik yg mengandung unsur riba (spekulasi dan tipuan).