bluuebunny/crossref_metadata_2025 huggingface dataset:
STANDARDIZATION OF INFORMATION MANAGEMENT ON GENETIC RESOURCES OF AGRICULTURAL
CROPS IN RK
Authors:   Kazakh Research Institute of
            Agriculture and Plant Growing, Almalybak, Kazakhstan, Yessimbekova M.A. , Mukin K.B. ,   Kazakh Research Institute of
            Agriculture and Plant Growing, Almalybak, Kazakhstan, Tokhetova L.A. ,   Kazakh Research Institute of
            Rice Growing named after. I. Zhakhaev, Kyzylorda, Kazakhstan, Makhmadzhanov S.P. ,   Agricultural Experimental
            Station for Cotton and Melon Growing, Atakent, Kazakhstan, Kushanova R.Zh. ,   Kazakh Research Institute of
            Agriculture and Plant Growing, Almalybak, Kazakhstan, Jienbaeva K.B. ,   Kazakh Research Institute of
            Agriculture and Plant Growing, Almalybak, Kazakhstan
Published: January 2024

Республиканские программы по генетическим ресурсам растений для продовольствия и
сельского хозяйства (ГРРПСХ) проводимые в Казахстане с 2000 года включают в качестве
основного направления комплексное управление информацией, что является предпосылкой для
дальнейшего развития коллекций генного банка. Без хорошо структурированной документации
невозможно сделать заявления о ценности генетических ресурсов растений, особенно в
отношении его потенциала для селекционных исследований. В статье представлены данные
документирования 2020 образцов генофонда сельскохозяйственных культур (зерновые,
зернобобовые, масличные, кормовые, крупяные и технические). Принята система
документирования ИКАРДА, адаптированная в Казахстане с 2006 года. Система основана на
4-х основных дескрипторах, отражающих статус хранения, тип развития, тип популяции и
статус образца. По каждой группе культур дана информация в разрезе указанных
дескрипторов. Материал зерновых, зернобобовых, масличных, крупяных и технических культур
представлен в основном двумя типами развития (озимые и яровые); по кормовым культурам
(многолетними). По типу популяции материал представлен несколькими категориями
материалов: сортами (27,0%), сортами народной селекции (10,9%), генетическими линиями
(2,5%), материалом исследований (48,6%), дикими (10,9%) и сорными формами (0,1%). По
статусу образцы отнесены к популяциям и чистым линиям. Анализируемая коллекция
представлена материалом 52 стран происхождения. Коллекция не имеет гербария, статус
хранения – принят, сохранен
The Ratio between Weekly Training and Match External Physical Loads in U17 Elite Youth Soccer Players: Implications for the Training Process
Authors: Kokstejn Jakub , Vampola Jindrich , Musalek Martin , Grobar Miroslav , Stastny Petr
Published: January 2024

Research on the external physical load on elite youth soccer players during the weekly training microcycle in competitive periods and official matches is limited. The aims of this study were twofold: a) investigate possible differences in external physical load (PL) across player positions in U17 elite youth soccer players during official matches; b) determine the weekly training to match physical load ratio (WTMLr) across player positions. The sample included 20 outfield players from an elite soccer academy (mean age 15.94 ± 0.25 years) playing in four positions: central defender (CD), full-back (FB), central midfielder (CM) and Striker (S). Data were collected during the spring in-season period for 17 official matches played in a 4-3-3 game format. Indicators of external physical load monitored were: total distance (TD); total distance in high-speed running (HSR; > 16.1 km.h-1); total distance in sprint running (SPR; > 21.6 km.h-1); and relative physical load intensity (%HSR). The WTMLr was calculated for TD, HSR, SPR and %HSR as the ratio of the average weekly sum of training PL to the average sum of PL in an official match for a given players' position. Collectively, the training intensity during a one-week microcycle (%HSR in WTMLr) achieved only 76 % of match demands. CD performed significantly lower in all measured indicators of external PL during the official match than all other positions (p < 0.05; g > 0.80) except for TD in S. S achieved significantly higher SPR during official matches compared to CD (p < 0.05; g > 0.80), CM, and FB (g > 0.80). In contrast, CD reported higher WTMLr (medium-large effect size) in HSR and SPR indicators than all other positions. CM performed significantly higher %HSR in WTMLr than S and FB (p < 0.05; g > 0.80). Results revealed insufficient training intensity relative to match demands and, at the same time, weekly training PL did not meet match demands (especially in HSR and SPR) for players across the different positions. Therefore, practitioners should select appropriate training methods (drills and games) to ensure sufficient training intensity (HSR and SR metrics) and consider using the WTMLr, which can be used to help optimise and individualise training PL for different player positions.
Effect of High-Intensity Interval Exercise versus Continuous Low-Intensity Aerobic Exercise with Blood Flow Restriction on Psychophysiological Responses: A Randomized Crossover Study
Authors: de Queiros Victor S. , Rolnick Nicholas , Sabag Angelo , Wilde Phelipe , Peçanha Thiago , Aniceto Rodrigo Ramalho , Rocha Roberto Felipe Câmara , Delgado Douglas Z. , Cabral Breno Guilherme de Araújo Tinôco , Dantas Paulo Moreira Silva
Published: January 2024

This study compared the effect of continuous low-intensity aerobic exercise with blood flow restriction (LI-AE-BFR) versus high-intensity interval exercise (HIIE), matching total external mechanical work between conditions, on perceptual (exertion, pain, affective and pleasure) and physiological responses (heart rate [HR], blood lactate [BL] and muscle fatigue). Ten healthy untrained men (25.6 ± 3.78 years old; 75.02 ± 12.02 kg; 172.2 ± 6.76 cm; 24.95 ± 3.16 kg/m²) completed three visits to the laboratory. In visit 1, anthropometry, blood pressure and peak running velocity on the treadmill were measured. In visits 2 and 3, participants were randomly assigned to HIIE or LI-AE-BFR, both in treadmill. HIIE consisted of 10 one-minute stimuli at 80% of peak running velocity interspersed with one-minute of passive recovery. LI-AE-BFR consisted of 20-minutes of continuous walking at 40% of peak running velocity with bilateral cuffs inflated to 50% of arterial occlusion pressure. BL and maximum isometric voluntary contraction (MIVC - fatigue measure) were measured pre- and immediately post-exercise. HR, rating of perceived exertion (RPE), and rating of perceived pain (RPP) were recorded after each stimulus in HIIE and every two minutes in LI-AE-BFR. Affective response to the session, pleasure, and future intention to exercise (FIE) were assessed 10 minutes after the intervention ended. Increases in BL concentrations were greater in HIIE (p = 0.028; r = 0.51). No effects time or condition were reported for MIVC. HR was higher in HIIE at all analyzed time points (p < 0.001; d = 3.1 to 5.2). RPE did not differ between conditions (p > 0.05), while average session RPP was higher in LI-AE-BFR (p = 0.036; r = 0.46). Affective positive response (p = 0.019; d = 0.9) and FIE (p = 0.013; d = 0.97) were significantly higher in HIIE. Therefore, HIIE elicited higher physiological stress, positive affective response, and intention to engage in future exercise bouts compared to LI-AE-BFR.
Examining the Impact of Fiscal Decentralization and Renewable Energy on CO2 Emissions: Insights from Pakistan
Authors: Faheem Muhammad , Farooq Fatima , Nousheen Asma , Bashir Furrukh
Published: January 2024

The relevance of fiscal decentralization in environmental sustainability cannot be overstated. Some believe that fiscal decentralization is essential to long-term environmental health. However, to what extent fiscal decentralization (FSD) hinders or promotes ecological sustainability is a topic of heated debate. Knowing how fiscal decentralization impacts the environment is vital because it cannot be disregarded while working toward the Sustainable Development Goals of a clean environment and minimizing climate change. This study determines the relationship between FSD, NRE, RNE, GDP, and CO2 excretion, taking data from 2005 to 2021. We employed the ARDL model to investigate the association between study variables. The empirical findings show that fiscal decentralization, NRE, and GDP exert beneficial effects on CO2 exhalation and harm the environment, while RNE cleans the environment by decreasing CO2 outflow; yet, all study variables are positively connected with the ecological footprint. Based on the recommendations for Pakistan, It is suggested that policymakers and the government of Pakistan should allocate funds for green infrastructure to combat CO2 emissions.
The Development of Science in the Digital Era and Its Influence on Islamic Culture
Authors: Dadang Abdau Asep
Published: January 2024

The development of science in the digital era has had a significant impact on Islamic culture. In this era, the dissemination and access of information has become faster and wider, enabling Muslims throughout the world to interact and share knowledge. Digital technology has facilitated the spread of Islamic teachings through various platforms, such as social media, mobile applications and websites. However, this development also brings challenges. For example, false or misleading information about Islam can easily spread, and this can affect Muslims' religious understanding and practices. Apart from that, the digital era can also influence Islamic cultural values and traditions, because Muslims are increasingly exposed to various other cultures and lifestyles via the internet. However, the digital era also opens up new opportunities for the development of Islamic science and culture. For example, digital technology can be used to preserve and promote Islamic art and culture, such as calligraphy and music. Apart from that, digital platforms can also be used for Islamic education, such as online Al-Qur'an learning. Overall, the development of science in the digital era has a complex and diverse influence on Islamic culture. Therefore, it is important for Muslims to understand and navigate these changes wisely.
School Culture-Based Religious Character Education Design at MI Nursyamiyah Plumpang Tuban
Authors: Ikmal Hepi , Sa'adah Nurul Alfiyatus
Published: January 2024

Religious character is one of the characters that play a significant role in the formation of an individual personality. Religious character education should be given as early as possible so that children can behave following the teachings of Islam. As educational institutions, schools are responsible for material learning and the formation and development of student character. This article describes the school culture-based religious character education design contained in MI Nursyamiyah Plumpang Tuban. This research uses qualitative research with a case study approach. This study resulted in findings that the design of school culture-based religious character education was implemented through compulsory school activities, teacher habituation and example, and school rules. Compulsory school activities include Dhuha and Dzuhur prayers in congregation, Asmaul Husna readings, wirid readings, barzanji readings, and tahlil readings. The habits applied are good habits that students must make, while the teacher's example is given through giving examples by the teacher in speaking and acting following Islamic law. School rules are made by considering Islamic values and norms that apply in society
Islamic Education According to Yusuf Al Qardhawi's Perspective in the Manhaj Da'wah Book
Authors: Setiawan Aris , Sa'bani Moh. Ahyan Yusuf
Published: January 2024

Shaykh Yusuf Al-qaradhawi's view of Islamic education emphasizes an inclusive and comprehensive approach. According to him, Islamic education goes beyond the confines of religious studies alone, involving Islamic character building that includes moral aspects, skills, and personal development. Al-Qardhawi asserts the need for harmonization between the goals and means of education so that teaching methods, books, and educators' involvement align, intending to form Muslim individuals who benefit society, self, and the hereafter. In addition, his moderate and inclusive approach embraces knowledge from various fields, placing religious education and general science in a complementary context and contributing to forming a generation with a strong Islamic character
The Role of the Sunan Drajat Lamongan Islamic Boarding School Education System in Improving the Life Skills of Santri
Authors: Setiawan Muhammad Febri , Asrori Muhammad David , Ainurrofiq Muhammad Reza , Febriansyah Diqki Dias
Published: January 2024

The aims of this study were: (1) to explain the education system at the Sunan Drajat Islamic boarding school. (2) to explain the life skills possessed by students at the Sunan Drajat Islamic Boarding School. (3) to explain the role of the Islamic boarding school education system in improving the life skills of students at the Sunan Drajat Islamic boarding school. In this study, researchers used a qualitative descriptive method with a case study approach—data collection techniques using interviews, observation, and documentation. The data analysis used is data reduction, data presentation, and data verification. From the results of this study, it can be seen that the Islamic boarding school education system plays a full role in improving the life skills of students at the Sunan Drajat Islamic boarding school. Examples of life skills development at the Sunan Drajat Islamic boarding school are personal skills development in the form of worship coaching, social skills development in the form of Javanese krama inggil language habituation, academic skills development in the form of reciting activities and formal schools, vocational skills development in the form of agriculture, trade, carpentry, animal husbandry, banking and the arts. This is done so that students can develop and hone their skills in Islamic boarding schools in accordance with their interests and talents as provisions for independent living when they enter society later
IMPLEMENTATION OF TEXT PROCESSING FOR SENTIMENT ANALYSIS OF TAX PAYMENT INTEREST AFTER THE "RUBICON" PHENOMENON
Authors: Gusdiana Ridian , Alfian Iqbal , Juliane Christina
Published: January 2024

In February 2023, an incident occurred involving the child of an official from the Indonesian Directorate General of Taxes who committed violence against a member of the GP Ansor organization. The news spread widely and brought a new issue, namely suspicious reporting of the official's wealth with an amount of up to 56 billion Indonesian Rupiahs. In order to determine public sentiment towards the "RUBICON" case, which was receiving attention, sentiment analysis of tax payment interest was conducted using text mining techniques. Data processing was done using the R language and RStudio application, taking a dataset of 23,785 tweets from the public about paying taxes on Twitter. Next, text cleaning was done to remove numbers, symbols, and URLs, as well as text processing using stemming, tokenizing, stopword removal, and TF-IDF methods. The TF-IDF method shows that the words "rafael" and "case" are the top keywords. This study used a supervised model by comparing SVM, KNN, and Naive Bayes algorithms, and evaluation was done using a confusion matrix with accuracy results in descending order of 0.8922, 0.8049, and 0.7369. The conclusion of this study is that the SVM algorithm successfully classified sentiment with the highest level of accuracy and obtained the highest negative sentiment of 5,616 sentences.
COMPARATIVE STUDY OF CLOUD COMPUTING NETWORK SERVICES BASED ON QoS ANALYSIS USING TIPHON STANDARD
Authors: Aziza Rosida Nur , Jaya Adilman  , Djunaidi Karina , Sudirman M.Yoga Distra , Yusra Muhammad Danial
Published: January 2024

Currently, data plays a very important role for companies or agencies. The amount of data owned, processed, and exchanged is getting bigger, so companies need more and more resources to manage it. Cloud computing technology is an efficient and economical alternative that allows users to utilize Information Technology (IT) resources flexibly, in terms of infrastructure and applications. Its key advantages include cost efficiency, scalability, data security, disaster recovery, and fast global access. The rapid development of cloud technology has led to many Cloud Service Providers (CSPs). The performances of the CSPs vary widely, thus it is necessary to understand the network performance characteristic  from the CSPs  so that users can select a more suitable service. Network capabilities in cloud computing technology are crucial, considering that all company activities are carried out through the network.   In this study, the main focus was to test the network capabilities of the two biggest cloud services The results  of the Quality of Service (QoS) comparison  will provide recommendations or input for companies or agencies in choosing the cloud service provider that best fits their needs. Thus, it was obtained that this research can provide useful guidance in optimizing the use of cloud computing technology to support business activities and innovation in various fields, including the field of education.  Based on the results of the research, the network performance of the two CPS is very good in terms of the TIPHON standard. Based on QoS analysis, especially in terms of throughput, CPS “A” shows better upload activity results, while CPS B has  better  results  for downloading activities.
DIGITAL DATA SECURITY WITH APPLICATION OF CRYPTOGRAPHY AND DATA COMPRESSION TECHNIQUES
Authors: Kuncoro Adam Prayogo , Mustofa Dinar , Krisbiantoro Dwi , Tarwoto Tarwoto
Published: January 2024

The need for digital data security is to ensure that the data and information we have are confidential and can only be accessed by authorized users. And no one can change the information in it, thus ensuring complete accuracy. The functions of data security are confidentiality, authentication, integrity, and anti-repudiation. Compression techniques are used to protect digital data because they aim to make less storage space and allow us to transfer more data over the internet. This study aims to plan to prove the application of a combination of 2 (two) techniques, namely compression and cryptography to digital data with the aim of increasing the security of the data. This research has the result that the compression technique of the Huffman method is the most effective in compressing digital data into the smallest file size compared to other compression methods. It can compressed the data size by around 30% (thirty percent) to 40% (forty percent) compared to the original data size. And coupled with data security with cryptographic encryption techniques so that files remain safe when transferred over the network.
ENTERPRISE ARCHITECTURE WITH TOGAF IN THE INDONESIAN FOOTWEAR INDUSTRY, CASE STUDY AT XYZ FOOTWEAR INDUSTRY
Authors: Vinardo  , Dazki Erick , Eko Indrajit Richardus
Published: January 2024

The footwear industry is one of the industries that absorbs a lot of labor force, and automatically this industry has a great impact on the economic growth of the local community.

The competition in the footwear industry involves global competition with footwear industries from all over the world. Companies that can provide good quality and efficient costs will be the choice for production places for various world footwear brands.

The use of appropriate and integrated information technology that covers all processes, both internal and external company processes, will increase the operational effectiveness of the company.

The design of this information technology utilization is built by adopting the TOGAF framework. TOGAF is a standard methodology and framework for enterprise architecture that has been widely used by leading organizations in the world to improve their business effectiveness and efficiency by utilizing information technology. This journal will provide design and implementation of TOGAF standards in the footwear industry, with study case at XYZ footwear industry to deliver enterprise architecture for footwear industry in Indonesia, so they can improve competitiveness among other footwear industry globally.
COMPARISON OF NAIVE BAYES, DECISION TREE, AND RANDOM FOREST ALGORITHMS IN CLASSIFYING LEARNING STYLES OF UNIVERSITAS KRISTEN INDONESIA TORAJA STUDENTS
Authors: Garonga Melki , Rita Tanduk
Published: January 2024

Learning style is an individual's habit or way of absorbing, processing, and managing information. This factor is very important in achieving learning goals. However, in reality, learning styles are often overlooked in the learning process, which can lead to suboptimal absorption of lessons and affect the quality of education. Various models have been developed by educational experts to identify students' learning styles, one of which is the VAK model (Visualization Auditory Kinesthetic) for grouping learning styles. This study compares algorithms in classifying learning styles using the VAK model. The results showed that the most dominant learning style was kinesthetic with a percentage of 46.9% or 478 students. The algorithm modeling showed that Naive Bayes had the highest accuracy with a value of 75%, while Random Forest had the lowest accuracy with a value of 59%. This suggests that Naive Bayes is more suitable for classifying students' learning styles. In conclusion, understanding students' learning styles is crucial for effective education. The VAK model is one way to identify learning styles, and Naive Bayes is a suitable algorithm for classifying students' learning styles. By considering learning styles, educators can tailor their teaching methods to better suit their students' needs and improve the quality of education.
DESIGN OF APPLICATION INFORMATION SECURITY SELF-ASSESSMENT USING VBA AND MSXML2.XMLHTTP CASE STUDY: DISKOMINFO KABUPATEN KAMPAR
Authors: Fahmi Rifai  , Jazman Muhammad , Angraini Angraini , Megawati Megawati
Published: January 2024

Information security includes the issues that may threaten accountability, reliability, trustworthiness, privacy, authenticity, and trustworthiness of information in an agency. Data and information are very risky things in Information Security, and therefore it is important to do information security governance. The process of evaluating information security using the Index KAMI and ISO 27001: 2013 will be carried out in this study by recording data using Microsoft Excel which has been provided by the National Cyber and Crypto Agency (BSSN). To make it easier to conduct information security assessments and simplify the Excel display, Visual Basic for Applications (VBA) will be utilized as a medium for adding ISO 27001: 2013, then it will be connected using MSXML2.XMLHTTP. The results of the self-assessment carried out show that the Communication, Information, and Signaling Service of Kampar Regency has a level of completeness in implementing the ISO 27001 standard at the "Inadequate" level with a score of 151 only reaching level I+. Meanwhile, the results of the ISO 27001: 2013 Annex control evaluation show that there are still clauses that have not been fulfilled. Therefore, the Communication, Informatics, and Coding Office of Kampar Regency urgently needs improvement in order to fulfill the clauses of ISO 27001: 2013.
IMPLEMENTATION OF LSTM (LONG SHORT TERM MEMORY) ALGORITHM TO PREDICT WEATHER IN CENTRAL JAVA
Authors: Irwan Rhedy , Andono Pulung Nurtantio , Al Zami Farrikh , Ocky Saputra Filmada , Megantara Rama Aria , Handoko L. Budi , Umam Chaerul
Published: January 2024

Agro-indutrial agricultural production such as red onions in Indonesia has a very important share in driving Indonesia's economic growth, especially in Central Java province which contributed 28.15% of the total national red onion production in 2021. Weather conditions have a major influence on the red onion planting process until the red onions are ready to be harvested. In this study, the objective is to predict various types of weather such as rainfall, air temperature, and air humidity in seven districts in Central Java, namely Brebes, Temanggung, Demak, Boyolali, Kendal, Pati, and Tegal. To do this, the use of the LSTM (Long Short Term Memory) algorithm with its ability to store memory longer than RNN will be reliable for predicting various types of weather in the future. This research was developed with the CRISP-DM (Cross Industry Process Model for Data Mining) method which has a goal-oriented approach, this method is a mature and widely accepted method in Data Mining with various applications in Machine Learning. With the final results from 39 models by using the evaluation of the average value of train MSE 0.013, test RMSE 0.11, test MSE of 0.02, test RMSE 0.12 and succeed to predict 5 days or months ahead from the last data that is provided.
ANALYSIS OF PUBLIC SENTIMENT RELATED TO THE FAILURE OF INDONESIA TO HOST U-20 USING MULTINOMIAL NAÏVE BAYES CLASSIFIER
Authors: Zaini Fachri , Sari Jessica Windi , Hasan Firman Noor
Published: January 2024

The case of Indonesia's failure to host the U-20 World Cup in 2023 has become a hot topic of discussion in Indonesia. The rejection of the Israel U-20 national team and security factors by FIFA are considered the main reasons for the cancellation. This raises many issues and controversies from various parties. In this study, sentiment analysis using the Naive Bayes algorithm was conducted. Researchers use the naive bayes algorithm because this algorithm has high accuracy with simple calculations. The data obtained in this study came from 250 tweets of Twitter data with a ratio of training and test data of 7:3. The results showed good data classification with 97.26% accuracy, 93.33% precision, and 100% recall. In conclusion, the classification model developed can describe public sentiment related to Indonesia's failure in the U-20 World Cup well.
IMPLEMENTATION OF SUPPORT VECTOR MACHINE METHOD IN CLASSIFYING SCHOOL LIBRARY BOOKS WITH COMBINATION OF TF-IDF AND WORD2VEC
Authors: Cahyani Salsabila Nida , Saraswati Galuh Wilujeng
Published: January 2024

The development of technology in education is integral to enhancing its quality, such as implementing information technology in school libraries. Searching for books in school libraries is time-consuming due to conventional book classification, lacking organization based on classifications. Therefore, implementing information technology in school libraries is crucial to improve library management effectiveness. An innovative solution optimizing library management involves leveraging artificial intelligence, particularly machine learning. In applying machine learning to library book classification, Support Vector Machine acts as an algorithm understanding patterns and characteristics of book titles, categorizing them into Dewey Decimal Classification (DDC). The dataset comprises 10 classes aligned with DDC. Random data collection follows an 80:20 scale for training and testing data. Data preprocessing is an initial research stage, addressing imbalanced data through oversampling. Testing the SVM algorithm with a linear kernel and C = 1 parameter is conducted three times using different feature extraction methods: TF-IDF alone, Word2Vec alone, and a combination of TF-IDF and Word2Vec. Model performance evaluation employs K-Fold Cross-Validation. After the three objective tests, the most accurate book classification results were obtained using a combination of TF-IDF and Word2Vec feature extraction. It's concluded that SVM's book classification method can be applied, yielding the highest accuracy of 73% with the TF-IDF and Word2Vec feature extraction combination. This outperforms other feature extraction methods, with precision at 83%, recall at 72%, and an F1-Score of 76%.
Pengenalan Angka Bahasa Isyarat dengan Menggunakan Local Directional Pattern dan Klasifikasi K-Nearest Neighbour
Authors: Ilmi Nurul , Suryoprayogo Hertanto
Published: January 2024

Dengan semakin berkembangnya teknologi, diharapkan System Pengenalan Bahasa Isyarat juga semakin berkembang. Sistem Pengenalan Angka Bahasa Isyarat ini dapat dilakukan dengan pembelajaran mesin. Pada penelitian ini dijelaskan tentang sistem pengenalan citra angka Bahasa isyarat dengan menggunakan metode ekstraksi ciri Local Directional Pattern dan Klasifikasi K-Nearest Neighbour. Sistem ini terdiri dari beberapa tahap, yaitu pengumpulan data, pre-processing, ekstraksi ciri dan klasifikasi. Pengujian system ini menggunakan data Turkey Ankara Ayrancı Anadolu High School's Sign Language Digits Dataset sebanyak 2.062 data. Pengujian pada sistem pengenalan angka tulisan tangan ini menunjukkan bahwa metode Local Directional Pattern dapat mengenali angka Bahasa Isyarat hingga mencapai akurasi 88.45% dengan pembagian region pada citra hingga 81 region,  dan mengambil 3 tetangga terdekat pada tahap klasifikasi K-Nearest Neighbour. Penelitian ini dilakukan untuk mengetahui parameter terbaik yang digunakan dalam metode Local Directional Pattern dan klasifikasi k-Nearest Neighbor.
Formal Model of Informatics Undergraduate Curriculum in Petri Nets
Authors: Saputra Aditya Bagoes
Published: January 2024

The academic system in the undergraduate program of Informatics, Bandung Telkom Institute of Technology (now Telkom University) defines rules and procedures of curriculum and study program, evaluation of study, academic council, counseling, and registration. The curriculum and study program explain the courses. This paper develops formal model and model analysis of this curriculum in Petri nets. The result of this is the Petri nets model and its analysis to check properties based on the courses and curriculum. The course prerequisite model and curriculum follow the academic system, not deadlocked, and not reversible.
ONLINE COLABORATION SEBAGAI UPAYA MENINGKATKAN PRODUKTIFITAS KERJA DALAM MASA WORK FROM HOME (WFH)
Authors: Iskandar Ade Rahmat , Nugroho Hary
Published: January 2024

Dalam masa Lock down, banyak instansi-instansi pemerintah, perusahaan badan usaha milik negara (BUMN), maupun perusahaan swasta lainnya memberlakukan proses kerja yang dinamakan work from home (WFH) atau bekerja dari rumah. Penelitian ini dilaksanakan dari tanggal 16 Maret samapai dengan 17 April 2020 bagi para pegawai Akademi Telkom selama masa bekerja dari rumah, untuk menghindari penyebaran virus Corona atau covid-19 yang sedang melanda di Indonesia dan negara-negara lainnya. Metode yang dilakukan dalam penelitian ini adalah explorasi terhadap beberapa pola kerja WFH menggunakan beberapa tipe online colaboration. Luaran dari penelitian ini adalah penggunaan media Whatsapp, Zoom dan wfh’s website yang paling banyak digunakan selama masa bekerja dari rumah bagi para pegawai Akademi Telkom Jakarta.
Comparison PAPI and CAPI methods in data collection : an application of technology acceptance model (TAM)
Authors: Wati Lisa
Published: January 2024

This research aims to comparative analysis about technology acceptance model (TAM) variables;  perceived usefulness (PU), perceived ease of use (PEOU), and attitude (ATT) of interviewers in using conventional paper and pencil interview (PAPI) and computer-assisted personal interview (CAPI) as data collection methods. The data were collected from two groups of interviewer, with a total of 334 interviewers. Analyses were conducted within each group and then compared using t-test using JASP 0.17.2.1. The findings showed that the two groups of PAPI and CAPI interviewers differed in their usage of survey methods. This research will assist organizations in planning the transformation of survey methods from PAPI to CAPI. It will also contribute to the understanding of the differences in interviewers' perceptions towards these two data collection methods.
Perancangan Sistem Smart Lamp berbasis Internet of Things Menggunakan Ubidots
Authors: Adidrana Demi , Hakim Arif Rahman , Suryoprayogo Hertanto , Yansyah Ilham Roni
Published: January 2024

Internet Of Things (IOT) merupakan konsep dimana “things” atau objek yang dapat berupa perangkat atau sensor yang heterogen, yang semuanya terkoneksi satu sama lain dan memiliki kemampuan untuk mengumpulkan dan berbagi data. Sebagai evolusi baru internet sehingga hadirnya konsep Internet Of Things (IOT) dimana dapat menghubungkan “Things” atau “Objek” melalui internet dan didukung dengan pertumbuhan penggunaan smartphone yang terus meningkat, menyebabkan semakin banyaknya orang yang terhubung ke internet walaupun dengan mobilitas yang tinggi. Konsep smarthome adalah salah satu penerapan Internet of Things yang populer, ini terjadi karena fungsi dari Internet of Things dapat dirasakan langsung oleh masyarakat umum. Home automation yang merupakan topik didalamnya merupakan salah satu teknik pengendalian peralatan listrik di rumah secara nirkabel atau otomatis. Pada penelitian sebelumnya menunjukkan bahwa pemanfaatan Internet of Things khususnya pada penggunaan smart home dapat mengurangi konsumsi energi, sehingga pada penelitian ini dibuat perangkat smart lamp dimana perangkat tersebut dapat menentukan kondisi gelap atau terang menggunakan sensor LDR yang terhubung ke mikrokontroler ESP32 dan pada kondisi yang dibaca akan memberikan perintah untuk menyalakan atau mematikan LED. Perangkat yang dibuat juga dapat terkoneksi melalui platform Ubidots untuk penyimpanan data dan melakukan pengontrolan LED manual secara jarak jauh melalui widget switch yang disediakan Ubidots.
Scrum Effectiveness Measurement in Human Resources Technology Product at Telecommunication Company
Authors: Kurniawan Yudi Candra
Published: January 2024

Information technology currently sues the release of application become faster to fulfill market demand. The term application has become an ordinary thing to be used daily to support various kinds of work activities. Agile software development has become a new standard to catch up stakeholder needs that are growing faster and tending to change. One of agile practices, Scrum, is the methods used by Human Resources Technology (HR Tech) product. However, since HR Tech was established by using Scrum, measurement needs to be done to understand its effectiveness. Measurement use knowledge area defined in PMBOK 6 and mapped to agile-scrum process as the baseline to find out the effectiveness. Research was done by spreading questionnaires to the internal team of HR Team. The supporting data used internal company report. Furthermore, the research was processed by using validity and reliability to evaluate scrum process inside the product. The results show the top three knowledge areas need to be concerned to increase scrum effectiveness, there are communication, schedule, and quality. According to the knowledge areas which HR Tech need to be improved, future research should be done to demonstrate the proposed recommendations are appropriate with the case study.
Developing a School Counseling Competency Framework for Primary School Teachers
Authors: Le Thuc Anh
Published: January 2024

The school counseling competency framework is a tool to develop teachers doing the school psychology counseling work in primary schools, which is extremely necessary, especially when schools in Vietnam are currently not having the official title for that job. The article proposes a framework of school counseling competency for primary school teachers with 5 elements rated at levels 1,2,3 including: 1/ Teachers' cognitive competency of psychology counseling activities for primary school students. 2/ Ability to understand the physiological characteristics of primary school students and the difficulties of students in school life. 3/ Ability to develop school psychological counseling plans for primary school students. 4/ Ability to design, select, and implement school psychology counseling topics for primary school students. 5/ Ability to coordinate family and community in school psychological counseling for primary school students. The competency framework can be used to improve the quality of teachers working in school counseling in primary schools
Analyzing the role of mediation as a foreign policy strategy for national survival: a focus on Oman and Kuwait
Authors:   The Institute of Middle East, Song Sang-Hyun , Ahn So-Yeon
Published: January 2024

Countries engaging in conflict mediation have traditionally been seen as peacemakers. However, within the framework of an international order prioritizing national survival, the role of a mediator can be examined as a strategic approach to maximize national interests. This study analyzes the motivation behind Oman and Kuwait's involvement in mediating conflicts, drawing on the theory that sees mediation as a tool for pursuing national interests. The field of political mediation has received limited attention from scholars. Specifically, within the political dynamics of the Gulf region where Saudi Arabia and the UAE play significant roles, an examination of Oman and Kuwait's involvement in conflict mediation as part of their foreign policy strategy contributes to expanding the understanding that mediation serves as a political tool for national survival
Pre-modern Muslim Women Pilgrimage to Mecca
Authors:   The Institute of Middle East, Lee Ju-Yeon
Published: January 2024

This study examines how Muslim women's pilgrimage to Mecca has changed and evolved over time in the pre-modern era, focusing on the case of Central Asia, where previous studies were negligent. To this end, we analyzed the Islamic regal and philosophical texts, chronological history and specialized books related to the pilgrimage to Mecca, and paid attention to women's lives in them. Chapter 1 looks at discussions of women's pilgrimage to Mecca in the Quran and Hadith, the sources of Islamic law, as well as in legal and philosophical texts. Chapter 2 presents real-life examples of pilgrimage by Muslim women in pre-modern times from a variety of sources. In Chapter 3, this paper collects records related to pilgrimage to Central Asia to examine the transition of Muslim women's pilgrimage from this area in a historical context. As a result, Central Asia’s long history under Turkic rulers yielded no pilgrimage facility system, including pilgrimage caravans, until the 15th century. was . But, subsequently, occasional pilgrimages groups began to emerge, and women's pilgrimage records increased as well.
The Influence of Arab Medicine Appeared in Guy de Chauliac’s Chirurgia magna in the 14th Century
Authors:   The Institute of Middle East, Bang Ji-Eun , Kim Cha-Gyu
Published: January 2024

This paper aims to examine the influence of Arab medicine as seen in Guy de Chauliac's Chirurgia magna written in the 14th century. Western European medicine in the 14th century focused on internal medicine theories centered on Galenic medicine, and surgery was neglected. On the other hand, practical aspects of daily life and warfare heightened interest in surgery. However, surgeons and barber surgeons in the 14th century had a lot of surgical experience, they often caused problems because they lacked an understanding of the theory. Accordingly, Guy de Chauliac believed that they should also receive theoretical education. At that time, there were no books written specifically on surgery. Therefore, Guy de Chauliac wrote Chirurgia magna which included his own experience and Arabic medical books that described medicine more advanced than those in Western Europe. Through this study, I found that Arab medicine not only had a significant influence on the writing of Chirurgia magna, but also greatly contributed to the development of Western European medicine as Chirurgia magna continued to be compiled until the 18th century.
An Empirical Analysis of Public Debt and Economic Growth: Tunisia as a Case Study
Authors: Abdallah Nizar Ben , Daly Lamia , Mtir Imed
Published: January 2024

Public debt has resulted in various economic problems in Tunisia since the outbreak of its revolution in 2010. The main objective of study is to examine the impact of public debt on growth in Tunisia during the post-revolution period. This study uses a vector error correction model (VECM) to investigate the impact of public debt on economic growth in Tunisia. The results prove the long-term relationship between all the variables. This study shows the drawbacks of debt and how it hampers economic growth; hence, it has a negative influence on interest rates and investments. This will subsequently lead to an economic recession due to decreasing growth.
A terápiás kapcsolat megélése az online és személyes konzultációk összehasonlításának tükrében
Authors: Jakab Laura , Szabó-Bartha Anett
Published: January 2024

Háttér és cél: A COVID-19 járvány számos területen érintette a segítő szakmában dolgozó szakembereket, így megváltoztatta a terápiát folytató pszichológusok munkáját is. A személyes térben végzett gyógyító munka átkerült az online térbe, új kihívásokkal szembesítve ezáltal a szakembereket. Az új munkamódhoz kapcsolódó érzelmi megélést vizsgáltuk a jelen kutatásban, különös tekintettel a terápiás kapcsolatra. Minta és módszer: Feltáró kutatásunk során 24 fő legalább 2 éve kliensekkel dolgozó pszichológust kérdeztünk félig-strukturált interjú segítségével az online folytatott terápiás munkájukkal kapcsolatban. A mintában szereplő szakemberek 87%-a nő, 13%- a férfi, átlagéletkoruk 42 év (SD: 13,4; min: 24év, max: 64év), 83%-uk rendelkezik valamilyen szakképzettséggel, a szakmában eltöltött gyakorlati éveik száma átlagosan 16,3 év (SD: 12,9; min: 2 év, max: 40 év), míg az online folytatott munkavégzés időtartamának átlaga 32 hó (SD: 33,6; min: 8 hó, max: 120 hó). Az interjúk elemzése a Grounded Theory módszerrel történt. Eredmények: A vizsgált interjúkban összesen 55 érzelmi tartalmat azonosítottunk, mely 2 fő-, és 6 alkategóriába került besorolásra. A terápiás kapcsolatra vonatkozóan összesen négy tartalmi kategóriát különítettünk el. Ezek közül a legtöbb negatív érzelem a kapcsolat minőségéhez és a terápiás folyamat feletti kontroll kérdéséhez kapcsolódott, míg az elköteleződés és a terápiás szövetség kialakítása kapcsán változó érzelmi minőségek jelentek meg.
Mechanisms of shoulder trauma: Current concepts
Authors: Mastrantonakis Konstantinos , Karvountzis Athanasios , Yiannakopoulos Christos K , Kalinterakis Georgios
Published: January 2024

Acute traumatic injuries to the glenohumeral articulation are common. The types of injuries depend on age, muscle strength, bone density, and biomechanics of the traumatic event. Understanding the different mechanisms of trauma and how they affect the functional anatomical structures of the shoulder joint is crucial for the treatment of these lesions. Therefore, when clinicians have knowledge of these mechanisms they can accurately diagnose and treat shoulder pathology and predict distinct injury patterns. Here, we have described the fundamentals of the mechanisms of injury of the glenohumeral dislocation, dislocation with fracture of the humeral head, and the proximal humerus fracture. We have focused on common injury mechanisms and the correlation with radiological diagnostics. Radiological and laboratory findings of distinct types of injury were also discussed.
Association between serum estradiol level and appendicular lean mass index in middle-aged postmenopausal women
Authors: Jin Fang , Wang Yan-Fei , Zhu Zhong-Xin
Published: January 2024

BACKGROUND

Previous studies investigating the association between loss of estrogen at menopause and skeletal muscle mass came to contradictory conclusions.

AIM

To evaluate the association between serum estradiol level and appendicular lean mass index in middle-aged postmenopausal women using population-based data.

METHODS

This study included 673 postmenopausal women, aged 40-59 years, from the National Health and Nutrition Examination Survey between 2013 and 2016. Weighted multivariable linear regression models were used to evaluate the association between serum E2 Level and appendicular lean mass index (ALMI). When non-linear associations were found by using weighted generalized additive model and smooth curve fitting, two-piecewise linear regression models were further applied to examine the threshold effects.

RESULTS

There was a positive association between serum E2 level and ALMI. Compared to individuals in quartile 1 group, those in other quartiles had higher ALMI levels. An inverted U-shaped curve relationship between serum E2 Level and ALMI was found on performing weighted generalized additive model and smooth curve fitting, and the inflection point was identified as a serum E2 level of 85 pg/mL.

CONCLUSION

Our results demonstrated an inverted U-shaped curve relationship between serum E2 levels and ALMI in middle-aged postmenopausal women, suggesting that low serum E2 levels play an important in the loss of muscle mass in middle-aged postmenopausal women.
Scoliocorrector Fatma-UI for correction of adolescent idiopathic scoliosis: Development, effectivity, safety and functional outcome
Authors: Phedy Phedy , Dilogo Ismail Hadisoebroto , Indriatmi Wresti , Supriadi Sugeng , Prasetyo Marcel , Octaviana Fitri , Noor Zairin
Published: January 2024

BACKGROUND

Adolescent idiopathic scoliosis remains a major problem due to its high incidence, high risk, and high cost. One of the aims of the management in scoliosis is to correct the deformity. Many techniques are available to correct scoliosis deformity; however, they are all far from ideal to achieve three-dimensional correction in scoliosis.

AIM

To develop a set of tools named Scoliocorrector Fatma-UI (SCFUI) to aid three-dimensional correction and to evaluate the efficacy, safety, and functional outcome.

METHODS

This study consists of two stages. In the first stage, we developed the SCFUI and tested it in finite element and biomechanical tests. The second stage was a single-blinded randomized clinical trial to evaluate the SCFUI compared to direct vertebral rotation (DVR). Forty-four subjects with adolescent idiopathic scoliosis were randomly allocated into the DVR group (n = 23) and SCFUI group (n = 21). Radiological, neurological, and functional outcome was compared between the groups.

RESULTS

Finite element revealed the maximum stress of the SCFUI components to be between 31.2 - 252 MPa. Biomechanical analysis revealed the modulus elasticity of SCFUI was 9561324 ± 633277 MPa. Both groups showed improvement in Cobb angle and sagittal profile, however the rotation angle was lower in the SCFUI group (11.59 ± 7.46 vs 18.23 ± 6.39, P = 0.001). Neurological and functional outcome were comparable in both groups.

CONCLUSION

We concluded that SCFUI developed in this study resulted in similar coronal and sagittal but better rotational correction compared to DVR. The safety and functional outcomes were also similar to DVR.
Alvania pluricosticillata Chirli & Forli, 2021 junior synonym of Crisilla gagliniae (Amati, 1985)
Authors: Amati Bruno , Oliverio Marco
Published: January 2024

Based on similarity in shell morphology, it is proposed that Alvania pluricosticillata Chirli & Forli, 2021 (fossil, recently described from the Plio-Pleistocene of Tuscany and Calabria) and Crisilla gagliniae (Amati, 1985) (extant, originally described from eastern Sicily) actually represent a single species. By priority, Crisilla gagliniae is the name to use for this species.
VERIFICATION OF ENGELS AND SCHWABE STATISTICAL “LAWS” ON THE EMPIRICAL BASE OF INTERREGIONAL COMPARISONS AND NATIONAL LEVEL OF THE AGGREGATION FUNCTION OF ECONOMIC SYSTEMS
Authors: ШЛЕЕНКО А.В.
Published: January 2024

The relevance of the article is due to the fact that assessing the quality of life of the population economists use relative indicators measuring of consumption structure. The work analyzes the level and structure of population consumption in the studied regions. These indicators have been proven to be the most important factors of the territories’ socio-economic development. It has been shown that over time the consumption structure of Russian regions residents is approaching the predicted theoretical values. Thus, Engel and Schwabe statistical laws are verified. It has been revealed that according to these indicators, the Black Earth cluster population’s living standard is lower than the Russian average; all six analyzed regions are agricultural regions with a high proportion of subsistence farming. Income growth correlates with the likelihood that the region will fall under the influence of statistical laws.