bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Different Weed Management Strategies in Clusterbean [Cyamopsis tetragonoloba (L.) Taub] under Rainfed Conditions of Punjab
Authors: Singh Rupinder , Dhillon Balwinder Singh
Published: January 2022

Background: Generally, farmers cultivate clusterbean [Cyamopsis tetragonoloba (L.) Taub] on rainfed area but seldom adopt weed control practices in it. It becomes very difficult and uneconomical to maintain weed free environment throughout crop period in the field under rainfed conditions. Therefore, the current study was aimed to find an effective weed control practice in clusterbean under rainfed conditions. Methods: Effect of weed management practices of clusterbean with T1: Pendimethalin @ 1 litre/ha (PE), T2: Imazethapyr @ 0.1 kg/ha at 20 days (POE), T3: Stale bed technology, T4: One hand weeding at 20 DAS (days after sowing), T5: Two hand weedings at 20 and 40 DAS, T6: Imazethapyr @ 0.1 kg/ha at 20 days + hand weeding at 40 DAS, T7: Pendimethalin @ 1 litre/ha (PE) + hand weeding 35 DAS, T8: Pendimethalin @ 1 litre /ha (PE) + imazethapyr 0.1 kg/ha at 30 DAS and T9: Weedy check were investigated under rainfed conditions. Result: Weed control efficiencies of imazethapyr @ 0.1 kg/ha at 20 days + hand weeding at 40 DAS (T6), pendimethalin @ 1 litre/ha + hand weeding at 40 DAS (T7) and pendimethalin @ 1 litre/ha (PE) + imazethapyr @ 0.1 kg/ha at 20 days (PoE) (T8) were statistically similar. Imazethapyr @ 0.1 kg/ha at 20 days (PoE) + one hand weedings at 40 DAS recorded higher growth characters viz., plant height, dry matter and yield attributing characters viz., number of branches, number of pods/plant and seed index than other treatments. The highest seed yield was recorded in imazethapyr @ 0.1 kg/ha at 20 days (PoE) + one hand weedings at 40 DAS (422 kg/ha), being statistically at par with pendimethalin @ 1 litre/ha (PE) + one hand weedings at 40 DAS (390 kg/ha) and pendimethalin @ 1 litre/ha (PE) + imazethapyr @ 0.1 kg/ha at 20 days (PoE) (392 kg/ha) which was significantly higher than other treatments. Imazethapyr @ 0.1 kg/ha at 20 days (PoE) + one hand weedings at 40 DAS recorded 27.9 and 33.9 per cent higher seed yield than imazethapyr @ 0.1 kg/ha at 20 days (PoE) and one hand weedings at 40 DAS, respectively. The net returns and benefit-cost ratio were maximum for imazethapyr @ 0.1 kg/ha at 20 days (PoE) + hand weeding at 40 DAS (T6). It is inferred that imazethapyr @ 0.1 kg/ha at 20 days (PoE) + one hand weedings at 40 DAS was found the most effective and economic approach for weed control in clusterbean under rainfed conditions.
PENGEMBANGAN E-BOOK BAHASA ARAB DENGAN APLIKASI KVISOFT FLIPBOOK MAKER PADA SISWA KELAS XI KEAGAMAAN MAN 1 SLEMAN
Authors: Huda Nurul , Al Fariz Thoriq Zia , Handayani Eka Utari
Published: January 2022

This research is the development of a digital-based e-book with the kvisoft flipbook maker application as an alternative medium for learning Arabic. This study uses a 4D development model: define, design, develop and disseminate. The instrument used to analyze student responses was a Guttman scale questionnaire consisting of agreeing or disagree. The data analysis technique used is qualitative and quantitative. The results of this study are the use of the kvisoft flipbook maker application as a medium for developing e-books. Language is in the excellent category. The result of the score of the Arabic language teacher is 3.81, the material expert is 3.87, and the media expert is 3.93. The limited field trial response results with an ideal score of 85.71% and are included in the category agreement. The results of the comprehensive field trial reached an ideal score of 97.80% and were included in the agreed category. This e-book contains Arabic learning materials, including videos, audios, and GIFs, to facilitate students' understanding of Arabic material while supporting students' listening and speaking skills training.
Wikalah iBT: How Is An Internet-Based Arabic Language Proficiency Test Instrument Developed?
Authors: Syihabuddin Syihabuddin , Abdurrahman Maman , Akmalia Frida , Abdussalam Aam
Published: January 2022

This study discusses the development of 140 items of Arabic language proficiency test which covers listening, reading, and grammar mastery. These items were empirically analyzed, tried out, and revised. Results of this development would then be made a basis to design an application that can evaluate internet-based Arabic language proficiency (Internet-based Taqwim Kafa`ah Maharah Lughah Arabiyah) abbreviated as Wikalah iBT. To achieve this goal, a developmental research method was employed, namely the development of instruments starting from the needs analysis for tests, the making of instruments, validity and reliability testing, the design of iBT program, and the trial of the Wikalah iBT application. Results of the study show that (a) several test items still had morphological, morphosyntactic, and technical errors, (b) 81 test items were valid, (c) average reliability level was 0.67, (d) this test was in the medium and easy categories (63.57), and (e) the iBT application design was used successfully and ran smoothly. Based on the conclusions, it is recommended to add the test item package, improve the quality of the questions, and evaluate the iBT application. We believe that these findings provide initial support for  making an overview to those preparing for the  iBT test or other similar tests of  language proficiency. Study outcomes also inform the extent to which the use of technology can evaluate language proficiency
نموذج تعليم مهارة الكلام عبر الإنترنت فى الجامعات الإسلامية الحكومية بجاوى الشرقية
Authors: Rosid Abdur , Hasanah Mamluatul , Yurisa Penny Respati
Published: January 2022

Learning interaction is an essential element during the online learning process. Therefore, this study offers an internet-based speaking skill learning model. This study aims to describe the process, the problem, and the learning model of learning internet-based speaking skills. This study uses a descriptive qualitative approach with case studies, focusing on learning at state Islamic universities in East Java, Indonesia, The State Islamic University of Maulana Malik Ibrahim Malang, and The State Islamic University of KH. Ahmad Shiddiq Jember. For data collection, the researcher used three methods: first, observation of online speaking learning activities conducted at two universities to find out the steps of learning, secondly interviews were conducted with lecturers who teach speaking courses and also students in the class to find out the obstacles faced. and thirdly documentation in the form of photos of activities and platforms used in the learning process to complete the data. For data analysis, the researcher used the Miles and Huberman method: data collection, data classification, data presentation, and concluding. The findings of the research : (1) that the internet-based speaking skill learning process is based on Personal Learning, (2) There are two problems in learning internet-based speaking skills: Internal Problems that is from the lecturer side cannot explain the whole theme and from the student side; bored and External Problems: electronic constraints related to internet signals and data, (3) internet-based speaking skill learning model That is the interaction between students - students and interactions between lecturers - students. The formal findings of this study are: learning maharah kalam with an internet-based personal learning model based on interaction with synchronous media shows its effectiveness in Islamic universities.
Modern Azerbaijani language: social integration and interlanguage relations
Authors:   National Academy of Sciences of Azerbaijan, Almammadova Sabina
Published: January 2022

The linguistic situation in the modern Republic of Azerbaijan is considered, namely, the special role of borrowed terms in enriching the vocabulary of the modern Azerbaijani language, mediated by the interrelationships of languages in the globalized linguistic and cultural space.
Paradoxes of Russian eros in F.M. Dostoyevsky’s novel “Idiot”
Authors:   Lomonosov Moscow State University, Zlochevskaya Alla V.
Published: January 2022

The article is devoted to the analysis of the love story line of F. Dostoevsky’s novel “The Idiot”. In the novel, the element of Russian eros found its artistic realization, that was comprehended by the great Russian philosopher N. Berdyaev in his essay “Reflection on Eros” (1940) as an existential category. The mutual love between Myshkin and Nastasya Filippovna was the perfect embodiment of Russian eros: the erotic tension here is fertilized by compassion and mystical experience of soulmates. The tragic ending is predetermined by the fatal incompatibility of the true, rising eros with the reality of earthly world.
Quo Vadis Pemikiran Politik Islam
Authors: Rizky HK Muhammad
Published: January 2022

This article will discuss the possibility to reformulate the Islamic political thought studies. As a part of both; Islamic Studies, and Political Studies, Islamic Political Thought has been dramatically improved with dialectical moves. The dialectical interaction between Islam as a doctrinal side, with politics which has been known as a more ‘humanist’ side has created some perplexed among the scholar. This article explains the ambiguity of the relation between Islam and Political Studies and offer a new formula to re-build the Islamic Political Thought Studies. The Authors tried to reformulate the Islamic Political Thought Studies with Reciprocal Integration, by using Ian Barbour’s theory about the relation between science and religion, Thomas Kuhn’s Theory about Normal Science, Keith Ward’s theory about The Development of Religion, and Amin Abdullah’s theory about integration-interconnection. This article use qualitative research method with descriptive analysis approach through the collection of related literature studies especially.
Associations of physical activity with gut microbiota in pre-adolescent children
Authors: Santarossa Sara , Sitarik Alexandra R. , Johnson Christine Cole , Li Jia , Lynch Susan V. , Ownby Dennis R. , Ramirez Alex , Yong Germaine LM. , Cassidy-Bushrow Andrea E.
Published: January 2022

[Purpose] To determine whether physical activity (PA), primarily the recommended 60 minutes of moderate-to-vigorous PA, is associated with gut bacterial microbiota in 10-year-old children.[Methods] The Block Physical Activity Screener, which provides minutes/day PA variables, was used to determine whether the child met the PA recommendations. 16S rRNA sequencing was performed on stool samples from the children to profile the composition of their gut bacterial microbiota. Differences in alpha diversity metrics (richness, Pielou’s evenness, and Faith’s phylogenetic diversity) by PA were determined using linear regression, whereas beta diversity (unweighted and weighted UniFrac) relationships were assessed using PERMANOVA. Taxon relative abundance differentials were determined using DESeq2.[Results] The analytic sample included 321 children with both PA and 16S rRNA sequencing data (mean age [SD] =10.2 [0.8] years; 54.2% male; 62.9% African American), where 189 (58.9%) met the PA recommendations. After adjusting for covariates, meeting the PA recommendations as well as minutes/day PA variables were not significantly associated with gut richness, evenness, or diversity (p ≥ 0.19). However, meeting the PA recommendations (weighted UniFrac R2 = 0.014, p = 0.001) was significantly associated with distinct gut bacterial composition. These compositional differences were partly characterized by increased abundance of Megamonas and Anaerovorax as well as specific Christensenellaceae_R-7_group taxa in children with higher PA.[Conclusion] Children who met the recommendations of PA had altered gut microbiota compositions. Whether this translates to a reduced risk of obesity or associated metabolic diseases is still unclear.
Voluntary exercise training improves body weight of leptin-deficient ob/ob mice by altering hepatic stearoyl-CoA desaturase 1 and deleted in breast cancer 1 protein levels
Authors: Lim Wonchung , Hwang Moon-Hyon , Kang Chounghun , Kim So Yeon , Cho Hyeseong
Published: January 2022

[Purpose] Deleted in breast cancer 1 (DBC1) ablation causes obesity, and stearoyl-CoA desaturase 1 (SCD1) induces the biosynthesis of monounsaturated fatty acids. This study examined whether voluntary wheel running (VWR) alters SCD-1 and DBC1 protein levels in the liver of leptin-deficient ob/ob mice.[Methods] Twenty-five Ob/Ob mice were divided into two groups (ob/ob-Sed and ob/ob-Ex). The expression of DBC1 and SCD1 in the mouse liver was determined using western blotting.[Results] After 10 weeks, VWR significantly reduced body weight without affecting the fatty acid synthase and CD36 protein levels. The average daily running distance was 4.0±1.0 km/day. This improvement was associated with changes in the hepatic SCD1 and DBC1 levels. Hepatic SCD-1 protein levels increased significantly, and DBC1 protein levels decreased in ob/ob-Sed animals. On the other hand, VWR inhibited the obesity-induced increase in SCD1 expression and impaired the obesity-induced decrease in DBC1 expression in the liver of leptin-deficient ob/ob mice.[Conclusion] This is the first study showing that VWR has strong effects on hepatic SCD1 and DBC1 in ob/ob mice, and provides key insights into the effects of exercise on obesity.
Palmitate-triggered COX2/PGE2-Mediated Hyperinflammation In Dual-stressed Pdl Fibroblasts Is Mediated by Repressive H3K27 Trimethylation
Authors: Schuldt Lisa , Reimann Michael , von Brandenstein Katrin , Steinmetz Julia , Döding Annika , Schulze-Späte Ulrike , Jacobs Collin , Symmank Judit
Published: January 2022

The interrelationship between periodontal disease, obesity-related hyperlipidemia and mechanical forces as well as their modulating effects on the epigenetic profile of periodontal ligament (PdL) cells are assumed to be remarkably complex. The PdL serves as connective tissue between teeth and alveolar bone for pathogen defense and inflammatory response to mechanical stimuli occurring during tooth movement. Altered inflammatory signaling could promote root resorption and tooth loss. Hyperinflammatory COX2/PGE2 signaling was reported for human PdL fibroblasts (HPdLF) concomitantly stressed with P. gingivalis lipopolysaccharides and compressive force after exposure to palmitic acid (PA). The aim of this study was to investigate to what extent this is modulated by global and gene-specific changes in histone modifications. Quantitative expression of epigenetic key players and global H3Kac as well as H3K27me3 levels were evaluated in dual stressed HPdLF exposed to PA revealing a decreased force-related reduction in repressive H3K27me3. UNC1999-induced H3K27me3 inhibition reversed the hyperinflammatory response of dual-stressed PA-cultures characterized by COX2 expression, PGE2 secretion and THP1 adhesion. Reduced expression of the anti-inflammatory cytokine IL10 and increased association of H3K27me3 at its promoter-associated sites were reversed by inhibitor treatment. Thus, the data highlight an important epigenetic interplay between different stimuli to which the PdL is exposed.
Navigation Data Anomaly Analysis and Detection
Authors: Amro Ahmed , Oruc Aybars , Gkioulos Vasileios , Katsikas Sokratis
Published: January 2022

Several disruptive attacks against companies in the maritime industry have led experts to consider the increased risk imposed by cyber threats as a major obstacle to undergoing digitization. The industry is heading toward increased automation and connectivity, leading to reduced human involvement in the different navigational functions and increased reliance on sensor data and software for more autonomous modes of operations. To meet the objectives of increased automation under the threat of cyber attacks, the different software modules that are expected to be involved in different navigational functions need to be prepared to detect such attacks utilizing suitable detection techniques. Therefore, we propose a systematic approach for analyzing the navigational NMEA messages carrying the data of the different sensors, their possible anomalies, malicious causes of such anomalies as well as the appropriate detection algorithms. The proposed approach is evaluated through two use cases, traditional Integrated Navigation System (INS) and Autonomous Passenger Ship (APS). The results reflect the utility of specification and frequency-based detection in detecting the identified anomalies with high confidence. Also, the analysis is found to facilitate the communication of threats through indicating the possible impact of the identified anomalies against the navigational operations. Moreover, we have developed a testing environment that facilitates conducting the analysis. The environment includes a developed tool, NMEA−Manipulator that enables the invocation of the identified anomalies through a group of cyber attacks on sensor data. Our work paves the way for future work in the analysis of NMEA anomalies toward the development of an NMEA intrusion detection system.
eHealth-Engagement on Facebook during COVID-19: A Netnographical Data Visualization
Authors: Hermann Caroll , Govender Melanie
Published: January 2022

Understanding social media networks and group interactions are crucial to the advancement of linguistic and cultural behaviour. This includes the manner in which people accessed advice on health, especially during the global lockdown periods. Some people turned to social media to access information on health where most activities were curtailed with isolation rules, especially for older generations. Facebook public pages, groups and verified profiles, using "senior citizen health", "older generations", and "healthy living" keywords were analysed over a 12-month period to analyse the engagement promoting good mental health. CrowdTangle was used to source English language status updates, photo and video sharing information which resulted in an initial 116,321 posts and 6,462,065 interactions Data analysis and visualisation were used to explore large datasets, including natural language processing for “Message” content discovery, word frequency and correlational analysis and co-word clustering. Preliminary results indicate strong links to healthy aging information shared on social media which showed correlations to global daily confirmed case and daily death totals. The results can be used to identify public concerns early on and address mental health issues in the senior generation on Facebook.
Geochemical Association Rules of Elements Mined using Clustered Events of Spatial Auto-correlation: A Case Study in the Chahanwusu River Area, Qinghai Province, China
Authors: Zhang Baoyi , Jiang Zhengwen , Chen Yiru , Cheng Nanwei , Khan Umair , Deng Jiqiu
Published: January 2022

The spatial distribution of elements can be regarded as a numerical field of concentration values with a continuous spatial coverage. An active area of research is to discover geologically meaningful relationships among elements from their spatial distribution. To solve this problem, we propose an association rule mining method based on clustered events of spatial auto-correlation and applied it to the polymetallic deposits of the Chahanwusu River area, Qinghai Province, China. The elemental data for stream sediments were first clustered into HH (high-high), LL (low-low), HL (high-low), and LH (low-high) groups by using local Moran’s I clustering map (LMIC). Then the Apriori algorithm was used to mine the association rules among different elements in these clusters. More than 86% of the mined rule points are located within 1000 m of faults and near known ore occurrences, and occur in the upper reaches of the stream and catchment areas. In addition, we found that the Indosinian granodiorite is enriched in sulfophile elements, e.g., Zn, Ag and Cd, and the Variscan granite quartz diorite (P1γδο) coexists with Cu and associated elements. Therefore, the proposed algorithm is an effective method for mining co-existence patterns of elements and provides an insight into their enrichment mechanisms.
Design of a Television Viewer Safe Distance Control Device for Children Ages 5 to 10 Years Using Arduino Uno with Motion Sensor and Proximity Sensor
Authors: Imam Faizal  , Samsul Arifin
Published: January 2022

When a child is 5 to 10 years old, it is very vulnerable to experience impaired health. One of them is vision. Vision is the main source that is very useful for life. A mother is worried when her children are constantly watching television. The anxiety will increase when children watch their favorite shows on television is very closely distance. From the description of the problem above, the writer found an idea to make a tool that can remind young children to maintain their visibility while watching television. The tool uses an Arduino Uno microcontroller coupled with a distance sensor and a motion sensor. When the sensor detects humans are closed to the television, then the tool will give a warning through the speaker in the form of sound. From the results of research when the sensor detects the distance between humans and the television is too close, the device will warn by making noise from the speakers. After 20 trials, data was obtained that 17 times the device is successfully detected movement via sensor and could give a warning to television viewers. Hope with the creation of a television viewers safe space can help parents to reduce anxiety when children watch television
Implementation of Digital Marketing Strategy for Improving UMKM Website Promotion (Case Study: Rumah Mesin)
Authors: Choiruddin  , Hardiani Tikaridha
Published: January 2022

The advancement of information technology is increasingly rapid, so search engines are the main choice as a medium for marketing products and services, and also for increasing the popularity of a website's existence. The main problem faced by the company CV. The machine house is competition in the world of machinery that is so fierce that the internet is needed to help it compete with the company's competitors. The way this is done is by promoting using SEO (Search Engine Optimization) Digital Marketing techniques. This research was carried out on a website where initially the techniques of SEO were just not optimal, then by applying the SEO on Page method such as keyword optimization in the title tag, content, meta keywords, meta description, at this stage several tests were also carried out as benchmarks for the success of implementing SEO techniques. The results of the application of SEO techniques are able to increase the SERP (Search Engine Results Page) of the website in search engines and successfully indexed by Google to be on the first page of page 9 in the second month.
Depresion Diagnosis Application Using Beck Depression Inventory Method with Visual Novel Game
Authors: Ihsanuddin Moh Rizal , Taurusta Cindy
Published: January 2022

Disturbance of feelings with sadness that continues in the long term is an explanation of depression, which can interfere with the social life of the person who experiences it (Pieter and Namora, 2012). As many as 86.94 (27%) in 322 billion individuals in the Southeast Asia region, making it the area with the highest Depression Rate. Because of this, it is necessary to have a Depression Diagnosis Application with the beck depression inventory method with a Visual Novel game approach to give a general idea of ​​whether the person has depression or not. The purpose of this study is to provide another alternative for users to find out whether they have depression or not with visual novel game media. This research method uses the Beck Depression Inventory where users are given 21 questions that must be answered to determine the level of depression they have. The test results on this game succeeded in detecting a person's level of depression which was proven by testing on 5 people with the results that 60% did not experience depression, 20% experienced mood changes and 20% experienced moderate depression. The result of this research is to produce a visual novel game with the application of depression diagnosis in it. This study is intended for people aged 15 years and over who feel they have symptoms of depression to find out their current condition.
Outlier Detection On Graduation Data Of Darussalam Gontor University Using One-Class Support Vector Machine
Authors: Putra Oddy Virgantara , Harmini Triana , Saroji Ahmad
Published: January 2022

Outlier detection is an important field of study because it is able to detect abnormal data distribution from a set of data. In the student graduation data, there are students with high semester GPA but do not graduate on time but students with low semester GPA can graduate on time. This study aims to detect outlier values ​​in student graduation data for the 2020-2021 class. Factors (attributes) used in this study are Student Academic Support Credit Scores (AKPAM) and Social Studies from semester one to semester six. The dataset used is 1204 graduates. The outlier detection method used is One-Class Support Vector Machine (SVM). One-class SVM is a derivative of SVM method that detects outliers based on data outside the specified class. The results of outlier detection using One-Class SVM method with three types of kernels produce the following reference values: kernel 'rbf' n by 91.4%, kernel 'linear' by 90% and kernel 'poly' by 90%. After normalization using MinMaxScaler the reference value increased by 2% in each kernel. The results of testing the One-Class SVM method get an average 90.3%, thus it can be concluded that the One-Class SVM method is feasible to be used as an outlier detection method.
Sentiment Analysis Covid-19 Vaccination on Twitter Social Media Using Naïve Bayes Method
Authors: Muriyatmoko Dihin , Harmini Triana , Ardiansyah Maulana Kemal
Published: January 2022

The government regulations regarding the implementation of vaccinations to tackle the COVID-19 pandemic. The regulation was issued by the Minister of Health Number ten of 2021. This program raises pros and cons so that it requires feedback for evaluation. Feedback can be obtained from opinions and stories that users convey through social media such as Twitter. This study aims to develop a model to determine public sentiment towards Covid-19 vaccination in three topics, namely the vaccination program, the effect of vaccination and the Covid-19 vaccine. The classification method used in this research is Bernoulli Naïve Bayes and Logistic Regression. The results of the comparison of the two methods show that Bernoulli Naïve Bayes gets better accuracy results. The number of tweet messages processed from Twitter is 5877. The model was tested to read public sentiment on Twitter from 7 September to 21 September 2021. The model concluded that public opinion regarding the vaccination program and the effect of vaccination tended to be positive. And opinions regarding the Covid-19 vaccine topic tend to be neutral. For further research, it can be developed by adding datasets.
Mad Reading Law Classification Using Mel Frequency Cepstal Coefficient (MFCC) and Hidden Markov Model (HMM)
Authors: Putra Oddy Virgantara , Faisal Reza Pradana  , Jordan Istiqlal Qalbi Adiba
Published: January 2022

The COVID-19 pandemic is a disaster that hit the world at this time, all activities are limited. This pandemic has also greatly impacted the process of teaching and evaluating the reading of the Koran which was carried out using the talaqqi and musyafahah methods. Machine Learning research has been developed for the legal classification of Quran recitation. This study aims to be able to classify the law of recitation of recitation, especially in the law of Mad recitation of the letter Maryam verses 1 to 15. This study builds a model using the Mel Frequency Ceptral Coefficient (MFCC) feature extraction with the Hidden Markov Model (HMM) algorithm method. MFCC is used for feature extraction in voice that processes voice data in several stages, including pre-emphasis, frame-blocking, windowing, Fast Fourier Transform, Mel Frequency Wrapping, and Ceptral Liftering. HMM is used in speech recognition with standard sentence percentages. The dataset used in this study is voice data taken from the voice of the Quran reciter that has been recognized and has been affiliated. The test results on the model that has been built have an average percentage of 80% accuracy of the test data.
Customer Data Management Information System And Web-Based Digital Product Sales In CV. IT Brain Indonesia
Authors: Romadhon Muhammad Syafri , Findawati Yulian
Published: January 2022

Customer Data Management Information System is a program or information system that functions to assist customer and sales data recording activities as well as product activation processes on CV. IT Brain Indonesia. This system is designed to record and input customer data from requests for demo software and customer consultations that come in daily via email marketing and also through whatsapp marketing before making a purchase and activation process. This system is shown for the marketing team on CV. IT Brain Indonesia is still using Microsoft Excel to record these data, which takes a long time to group customer needs on different sheets. In this case the author designed an Information System for Customer Data Management and Web-Based Digital Product Sales at CV. IT Brain Indonesia. The method used is the equivalence method and blackbox testing. The results of this study are in the form of a web-based information system intended for marketing and customer support that can group customer data according to their needs and record sales and product activation processes. This web-based information system was created using the CodeIgniter framework.
Optimizing the Measurement of Metal Content in Water Using the Kalman Filter Method
Authors: Handayani Yulita Ayu , Masfufiah Ilmiatul
Published: January 2022

Research on detection and screening of metal in the water using Atmega 8535 Microcontroller focused on designing a device to detect metal levels in the water and it could conduct metal screening in the water. There were 3 samples such as well water, gallon water, drinking water, and RO water as a neutralizer. It was obtained fluctuating or unstable result. It was because several factors like lack of sensor probe number used, sensor probe materials which were too reactive to the water, and unstable change of output value because of previous value saving. Because of these problems, this study was conducted an optimization of metal content measurements in water with TDS sensor with Arduino Uno base. The optimization was done by using the Kalman Filter method. There were refill water samples, tap water /drinking water, and well water which were tested 30 times each. The error percentage results without the method were 29.74%, 9.53%, 9.02%, while the results error percentage used the Kalman Filter method were 29.34%, 9.39%, 8.94%. In this test, the Kalman Filter method could reduce the error percentage in a row by 0.4%, 0.14% and 0.08%. In the test comparing eight samples with the TDS meter, the researcher got the average error percentage for testing without the method of 7.881%, and the average error percentage for testing with the Kalman Filter method of 6.705%. In this case, the Kalman Filter method can reduce the error percentage by 1.176%. From these data, it could be concluded that the Kalman Filter method could reduce the error percentage so that the reading of the measurement results would be more stable.
Performance Improvement Strategy With Malcolm Baldrige Method Integration and SWOT Analysis (Case Study at UD. Syaiful Plastik)
Authors: Prasetyo Mohammad Aji , Wahyuni Hana Catur
Published: January 2022

There are problems that faced at UD. Syaiful Plastik including in the sector of leadership, measurement management, and company product output. This results in the quality and quantity of the company's products not being able to fulfill consumer expectations. To follow up on this problem, the Malcolm Baldrige method is used to analyze the company's performance with seven categories of assessment and SWOT analysis to determine the factorc that affect the company's performance, by assessing internal factors (strenghts and weaknesses), external factors (opportunities and threats). From the measurement results, Malcolm Baldrige's total score is 474 points with an overall percentage of 47% from a maximum score of 1000. This value is at the average level including the early improvement category (point scale 376-475). The results of the internal evaluation contained 8 attributes of strength elements and 4 attributes of weakness elements. The results of the external evaluation contained 5 opportunity attributes and 5 threat attributes. Mapping the IFE-EFE matrix followed by a SWOT analysis resulted in 4 alternative strategies that can be done to build progress and a more competitive company advantage.
Payment Application Design Using Cart (Classification And Regression Tree) Method
Authors: Ika Pradita Elfinda Lusiana , Kartika Kurnia Paranita , Febrinita Filda
Published: January 2022

This payroll application is used to calculate the amount of salary that will be received by the Lion Parcel Blitar courier. This study aims to help find solutions for admins to complete payroll tasks quickly and accurately by developing a payroll system that is easy to implement. This research uses the RND (Research and Development) method according to Sugiyono (2012), because this method is used to generate and test the effectiveness of a product. To facilitate the grouping of couriers delivering the most packages and delivering the least packages, the method used by the author in this study is the CART method with the final result being a confusion matrix class a ( <= 600 ) of 5 data and a confusion matrix of class b (> 600 ) of 3 data. In addition, Black Box testing is also used with a percentage of 92.3% and questionnaires to validators of 86.1%, as well as prospective users as testing applications with a percentage of 90.4%. So this application is declared very feasible.
Factors Affecting the Decision to Purchase Arabica Coffee via Online (A Case Study of Online Consumers in Blitar Regency)
Authors: Ningsih Widya , Zamrodah Yuhanin , Dewi Rima
Published: January 2022

This study aims to determine the characteristics of Arabica coffee consumers who make online transactions and to see how much influence the given factor has on the decision to purchase Arabica coffee online in Blitar Regency. The execution of this exploration action will be carried out in February 2021 – June 2021 in Blitar Regency. The information-checking strategy used in this exploration is a special examination and various direct examinations of recurrence. Autonomous factor in this research include psychological, personal, social, and cultural. Meanwhile, the dependent variable in this study is the decision to purchase Arabica coffee at online retailers. The results of data analysis found that the X1 (psychological factor) variable was 0.180, X2 (personal factor) was 0.157, X3 (social factor) was 1.012, and X4 (cultural factor) was 0.121 indicating that all variables have positive values. The results of the t-test show that social factors partially influence the purchase decision of Arabica coffee with the online method as shown by the results of t count > t table, namely 5.721 > 2.059. And the F test shows that the decision to purchase Arabica coffee online can be influenced simultaneously by psychological, personal, social, and cultural factors with the calculated F result that is 57.781 > F table which is 2.98.
Response of Growth and Yield of Basil (Ocimum Sanctum L.) to Several Concentrations of Liquid Organic Fertilizers and Growth Regulators
Authors: Hasten Rio , Puspitorini Palupi , Kurniastuti Tri
Published: January 2022

This research was conducted to determine the interaction of combination treatment of liquid organic ferilizer and growth regulators with different concentrations on tthe growth and yield of basil plants (Ocimum sanctum L.). The research was carried out in March-May 2021 in Doko village, Blitar. The treatments were arranged in a factorial randomized block design (RAK Faktorial). The treatments in this study included 2 factors which were repeated 3 times. The first factor is the application of liquid organic fertilizer which consists of 3 levels, namely 0 (control), 5, and 10 ml/liter. The second factor is the application of growth regulators which consists of 3 levels, namely 3, 6, and 9 ml/liter. The variables observed included plant height, number of eaves, number of branches, and fresh weight. The results of the analysis of variance showed that there was a significant effect on the combination of dosages of liquid organic fertilizer and growth regulators on all observation variables, namely plant height, number of leaves, number of branches, and fresh weight. The best treatment combination is shown by the application of liquid organic fertilizer 10 ml/liter and growth regulators 9 ml/liter.
The Patterns of Poisoning Exposure in Different Ages in Duhok Governate: A three Years Study (2016, 2017, 2018)
Authors: Mohammed Noor A.
Published: January 2022

Poisoning with toxic substances accidently or deliberately can be life threatening and especially in some countries that lack the essential tests and facilities to identify the types and causes of these toxic substances. In Iraq, as many other countries, poisoning is one of the chronic public health problems. However, very little literature about the pattern of poisoning cases, types and age is available in Duhok Governorate. Therefore, this study was conducted to determine the most common patterns of poisoning and the related age and gender in Duhok Governorate from 2016-2018, which would possibly contribute to the early diagnosis and treatment of poisoning. The present study was conducted for three years, started from 1st of January 2016 until31st of December 2018. Data were collected from Duhok General Directorate of Health database, based on the data collected from all Duhok Governorate hospitals and health care centers concerning poisoning types, patient’s age and gender. Descriptive statistic was used to analyze the data including (frequency, mean and percentage). A total of 27831 poisoned patients admitted to Duhok city and their districts health centers. Thirteen separated pattern cases of poisoning were recorded. The most common pattern of poisoning cases was food poisoning (61%) in 2016, (75%) in 2017, and dropped to 48% in 2018. In addition to other types of poisoning such as (herbals, sagwa, allergies, metals, organophosphate, rat poising and others) (11.7% in 2016, 4.8% in 2017 and 19.7% in 2018) and scorpion bites (5% in 2016, 5.7% in 2017 and 11.5% in 2018). Poisoning by drugs was the highest in 2018 (667 cases 9.6%) compared to 2017 (574 cases 5.7%) and 2016 (476 cases 4.3%). All other poisoning pattern (insect bite, soaps and other detergents, snake bits, animal’s bits and insecticide) were about or less than 1%. No recorded cases were poisoned by illegal addictive drugs during the period of study. Out of 27831 cases of poisoning, females were much prone to be poisoned than males during the three years 2018, 2017 and 2016. Females were affected by food poisoning (80%) as compared to male (70%). The age between 15-48 years old composed about 43.8% of the total cases, which is the highest % ration among other age groups. In Duhok Governorate, patterns of poisoning in the present study were the first to be documented. The study concludes that the majority of victims were female and food poisons were the most common type. It also seems that less effort is taken from the Committee of Health and Safety Issues. Our study suggests that establishment of specialist poison health centers, and raising awareness among people help effectively to resolve this public problem.
Subgroups and Orbits by Companion Matrix in Three Dimensional Projective Space
Authors: Al-Zangana Emad Bakr , Yahya Nada Yassen Kasm
Published: January 2022

The aim of this paper is to construct cyclic subgroups of the projective general linear group over  from the companion matrix, and then form caps of various degrees in . Geometric properties of these caps as secant distributions and index distributions are given and determined if they are complete. Also, partitioned of  into disjoint lines is discussed.
Semihollow-Lifting Modules and Projectivity
Authors: Dheyab Anfal Hasan , Hussain Mukdad Qaess , Yousif Rana Aziz
Published: January 2022

Throughout this paper, T is a ring with identity and F is a unitary left module over T. This paper study the relation between semihollow-lifting modules and semiprojective covers. proposition 5 shows that If T is semihollow-lifting, then every semilocal T-module has semiprojective cover. Also, give a condition under which a quotient of a semihollow-lifting module having a semiprojective cover. proposition 2 shows that if K is a projective module. K is semihollow-lifting if and only if For every submodule A of K with K/( A) is hollow, then K/( A) has a semiprojective cover.
Preparation, Spectroscopy, Biological Activities and Thermodynamic Studies of New Complexes of Some Metal Ions with 2-[5-(2-Hydroxy-Phenyl)- 1,3,4-Thiadiazol-2-Ylimino]-Methyl-Naphthalen-1-Ol]
Authors: Shaalan Naser
Published: January 2022

This study describes the preparation of new series of tetra-dentate N2O2 dinuclear complexes (Cr3+, Co2+, Cu2+) of the Schiff base derived from condensation of 1-Hydroxy-naphthalene-2-carbaldehyde with 2-amino-5-(2-hydroxy-phenyl)-1,3,4-thiadiazole. The structures of the ligands were identified using IR, UV-Vis , mass,  elemental analysis and 1H-NMR techniques. All prepared complexes have been characterized by conductance measurement, magnetic susceptibility, electronic spectra, infrared spectrum, theromgravimatric analysis (TGA) and metal analysis by atomic absorption. From stoichiometry of metal to ligand and all measurements show a octahedral geometry proposed for all complexes of the (Cr3+, Co2+, Cu2+). conductivity measurement shows that of the prepared (Co2+, Cu2+) complexes were non electrolyte but (Cr3+) complexes were electrolyte. The parameters of thermodynamic, activation energy Ea , enthalpy ΔH, entropy ΔS and Gibbs free energy ΔG   were calculated using Coats-Redfern method by the TGA curve. The bioactivity of the prepared (LH2) and its complexes have been examined with antibacterial activity which shows significant activity against some fungi and bacteria.
Some Questions to Georg Simmel’s Ethics (in his Essay “The Individual Law”)
Authors:   Universität Innsbruck, Rendl Marina V.
Published: January 2022

Georg Simmel’s heritage is seldom identified with the subject of ethics. He is mostly consid­ered as a representative of the ‘philosophy of life’, who didn’t make a significant contribu­tion to its development. Some of his works, in which he has worked out a peculiar ethical representation, seem more surprising. This ‘popular’ ethic is attractive today because it fo­cuses on the real, living person with fragile existence and easy changeable values, ideals and principles. His or her actions don’t always correspond to the ethical model, but it doesn’t mean that they are unethical. Ethics as a theory doesn’t match with ethics as the real practice of human life: this idea represents Simmel’s starting point and forms his concept as the ethics of individuality. I would like to discuss some conspicuous problems in Simmel’s in­terpretation of ethics in his essay ‘the individual law’ as well as his criticism of the general ethics of Immanuel Kant. Simmel asks basic questions that each intelligent person is con­cerned with: What is the meaning of duty and morality? How should you adapt these cate­gories to your own life? Can a person do something without ethics? The Simmel’s solutions are not ideal. They ask for comments. I want to discuss their advantages and disadvantages and see whether Simmel’s project can be explained as ethics at all.
Proceedings of a Discussion on «Prolegomena to Moral Responsibility»
Authors:   RAS Institute of philosophy, Apressyan Ruben G. , Besedin Artem P. ,   Lomonosov Moscow State University, Vasilyev Vadim V. ,   Lomonosov Moscow State University, Kostikova Anna A. ,   Lomonosov Moscow State University, Kuznetsov Anton V. ,   Lomonosov Moscow State University, Levin Sergey M. ,   National Research University Higher School of Economics, Mishura Aleksandr S. ,   National Research University Higher School of Economics, Platonov Roman S. ,   RAS Institute of philosophy, Prokofyev Andrey V. ,   RAS Institute of philosophy, Razin Aleksandr V. ,   Lomonosov Moscow State University
Published: January 2022

Proceedings of a Discussion on «Prolegomena to Moral Responsibility» (RAS Institute of Philosophy, March 2021).
Difference in the Alveolar Bone Remodeling Between the Adolescents and Adults During Upper Incisor Retraction: A Retrospective Study
Authors: Zheng Ya , Zhu Chenjing , Zhu Meng , Lei Lang
Published: January 2022

Backgroud: The purpose of this study was to compare the difference of alveolar bone remodeling between the adolescents and adults in the maxillary incisor area during retraction. Methods: This retrospective study included 72 female patients who needed moderate anchorage to correct the bimaxillary protrusion. Subjects were further divided into the minor group (n=36, 11-16 years old) and adult group (n=36, 18-35 years old). Digital lateral cephalography and cone beam CT scanning were taken in each patient before (T0) and after treatment (T1). Cephalometry was conducted to assess incisor retraction, while alveolar bone thickness (ABT), alveolar bone distance (ABD, and alveolar bone area (ABA) were detected to assess changes in the alveolar bone. Results: No difference in the inclination of upper incisors was observed at both T0 and T1. Changes in the alveolar bone showed a similar tendency with bone apposition on the labial side and resorption on the palatal side. Less increase in the labial ABT (T1-T0) and more decrease in the palatal ABT (T1-T0) was found in the adult group, leading to less total ABT in the adult group. Higher reduction inn ABD (T1-T0) was found in the adult group. Moreover, more decrease in the ABA (T1-T0) was found in the adult group. Conclusion: When compared adolescents, adult patients have less alveolar bone support after orthodontic treatment, showing a through-the-bone remodeling pattern. Orthodontic should take the age into consideration to reduce the potential periodontal risks during treatment planning.
Two-Stage Model for Machine Learning/Transient-based Leak Detection in Pressurized Pipelines
Authors: Ayati Amir Houshang , Haghighi Ali , Ghafouri Hamid Reza
Published: January 2022

This study introduces a two-stage approach for high-resolution leak localization in large-scale pipelines by coupling machine learning to transient hydraulics. The method includes two stages of leak zone identification and in-zone Leak detection. A transient simulation model using the Method of Characteristics (MOC) is developed to generate the learning data for the pipeline under consideration. Afterward, the problem search space is reduced, and the maximum leak detection error is restricted by determining the most likely leaky zone using Support Vector Regression (SVR). Then, the zone dataset is provided by introducing leak candidates to the identified zone. After that, an ensemble classifier consisting of a set of linear discriminant components is trained to reliably detect the exact location of the leak using the majority voting technique. The models are applied to a theoretical pipeline and an experimental Reservoir-Pipe-Valve (RPV) system. The performance of the applied machine learning algorithms is compared to well-known algorithms considering a variety of kernels and hyperparameters. The impacts of different levels of uncertainty in pipe roughness and initial flow on the models' accuracy are also investigated. The results manifest that the proposed model has high accuracy and is stable, and robust against the hydraulic simulation uncertainties.