bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pertimbangan Hukum Hakim Terhadap Kasus Penelantaran Dalam Rumah Tangga
Authors: Risakotta Edwin C , Sopacua Margie Gladies , Lokollo Leonie 
Published: October 2023

Introduction: The judge's consideration of domestic neglect cases is very important considering that domestic neglect is part of domestic violence.Purposes of the Research: The purpose of this study aims to examine what is the basis for the judge's legal considerations for household investigation cases in the study of decision No. 120/Pid.Sus/2021/PN Amb and review and explain whether the crime given by the judge has had a deterrent effect on the perpetrator.Methods of the Research: The author uses Normative Juridical legal research which obtains data from literature studies in the form of laws, documents, books, magazines and other literature related to writing. Results of the Research: The results of this research show that the Ambon District Court judges in sentencing the perpetrators of domestic neglect crimes, the judges consider juridically, sociologically, and philosophically. Thus, the sanctions given by the judge to the perpetrator of the criminal act of domestic abuse have not had a deterrent effect, because the judge in making decisions considers more of the things that relieve the offender.
Cancer-Related Fatigue (2018–2022)
Authors: Fleischer Anne , Campbell Claudine , Polo Katie M. 
Published: October 2023

Abstract
Systematic review briefs provide a summary of the findings from systematic reviews evaluated in conjunction with the American Occupational Therapy Association’s Evidence-Based Practice Program. Each systematic review brief summarizes the evidence on a theme related to a systematic review topic. This systematic review brief presents findings related to interventions addressing cancer-related fatigue in adults living with and beyond cancer.
Psychosocial Technology and Telehealth-Based Interventions for Adults With and Beyond Cancer (2018–2022)
Authors: Amanat Yasaman , Newman Robin , Morikawa Stacey 
Published: October 2023

Abstract
Systematic review briefs provide a summary of the findings from systematic reviews evaluated in conjunction with the American Occupational Therapy Association’s Evidence-Based Practice Program. Each systematic review brief summarizes the evidence on a theme related to a systematic review topic. This systematic review brief presents findings related to psychosocial technology and telehealth-based interventions for adults with and beyond cancer.
Penyuluhan tentang Jajanan Sehat sebagai upaya Perbaikan Status Gizi pada Siswa di SD Negeri 100 Kendari
Authors: Bahar Hartati , Savitri Effendy Devi , Muchtar Febriana , Lestari Hariati , Tosepu Ramadhan , Paridah Paridah , Hasanah Aswatun 
Published: October 2023

Sekolah merupakan salah satu lembaga pendidikan formal. Sekolah merupakan subsistem pendidikan, karena lembaga pendidikan itu sesungguhnya identic dengan jaringan-jaringan kemasyarakatan, sebab dalam prosesnya terdapat aktifitas kemanusiaan dan pemanusiaan sejati. Sementara itu,
siswa membutuhkan konsumsi pangan yang cukup dengan gizi seimbang karena masih mengalami masa pertumbuhan dan perkembangan.
Siswa SD menghabiskan seperempat waktunya untuk beraktivitas di sekolah. Mereka lebih banyak mengkonsumsi makanan jajanan. Hal yang perlu diperhatikan adalah pemilihan makanan jajanan yang baik untuk dikonsumsi sehingga tidak menimbulkan masalah kesehatan

Maka dari itu tujuan dari kegiatan ini ialah untuk memberikan pemahaman kepada siswa (i) di SDN 100 Kendari mengenai jajanan sehat dan cara memilih jajanan yang sehat dalam lingkungan sekolah melalui media poster. Berdasarkan hasil kuesioner pre test dan post test didapatkan bahwa ada perbedaan yang signifikan rata-rata pre test yang diberikan sebelum penyuluhan dan post test yang diberikan setelah penyuluhan. Hal ini menandakan bahwa pemberian poster kepada siswa (i) sebagai media penyuluhan telah berhasil merubah pengetahuan dan sikap mereka.
DETERMINANTS OF REPRODUCTIVE HEALTH SEEKING BEHAVIOUR AMONG WOWEN OF REPRODUCTIVE AGE IN AJAOKUTA VILLAGE, KOGI STATE
Authors: Abdulkarim Sheidu HARUNA  , Chiemezie Scholastica ATAMA  , Mohammed AUDU  , Bilkisu Aboda MUSA  , Yusuf Baba IBRAHIM  
Published: October 2023

Women of reproductive age play a pivotal role in ensuring the continuity of the society, yet, they are faced with high risks of complications and even death in the course of performing this role. The study examined the determinants of reproductive health-seeking behaviour among women of reproductive age (15-49 years) in Ajaokuta village. The Behavioural Model of Health Service Use was adopted as a theoretical framework of the study. A self-administered open-and closed-ended structured questionnaire was used as instrument of data collection. A descriptive survey was carried out among 156 respondents using the multi-stage sampling technique. Frequency distribution tables and percentage were used to analyze the data. The respondents had the knowledge of reproductive health service, seeks reproductive health care services but the traditional and the faith-based care services. Family influence, educational qualification, inadequate healthcare services, access to health care service, lack of quality services, inadequate health workers, attitudes of health workers, cost of services, lack of confidentiality, waiting period to access care and volume of patients awaiting treatments were the determining factors found by the study. More awareness centered on the benefits of orthodox services utilization, minimal family interference, education of women, availability of quality and accessible reproductive health services, adequate health workers with good attitudes, affordability of healthcare services, strict confidentiality, urgent attention to avoid large number of patients awaiting care services were the recommendations provided by the study
Keywords: Ajaokuta Village, Maternal Morbidity, Maternal Mortality, Reproductive Health, Reproductive Health Seeking Behaviour.
ANALISA TOTAL PRODUCTIVE MAINTENANCE MESIN EXTRUDER BERBASIS RISK FACTOR
Authors: Respati Muhammad Nabil Reza , Mukhtar M. Nushron Ali 
Published: October 2023

Teknologi yang di pakai perusahaan semakin maju mengikuti perkembangan zaman, sehingga untuk menjamin kelancaran proses produksi harus selalu memperhatikan pemeliharaan produktivitas. Permasalahan yang terjadi adalah tingginya cost yang di timbulkan karena lamanya waktu downtime pada salah satu mesin, yaitu mesin extruder. Pada penelitian ini mengkaji tentang manajemen perawatan. Metode Overall Equipment Effectiveness (OEE) di gunakan untuk mengukur efisiensi perawatan. Analisis dari resiko operasional selama proses produksi menggunakan House Of Risk (HOR). Pengolahan data Overall Equipment Effectiveness dimulai dengan pengukuran tiga komponen yaitu Availability, Performance, dan Rate Of Quality. Dalam kurun waktu satu tahun, di dapatkan rata-rata nilai OEE mesin extruder pada tahun 2022 sebesar 74,04 %. Identifikasi resiko dilakukan pada proses maintenance mesin extruder. Hasil dari pengukuran effectiveness to difficulty ratio memperoleh 3 prioritas mitigasi pada mesin extruder di dapatkan nilai OEE di bawah overall plant efficiency 85%. Atas dasar tersebut, di pilih 6 risk agent dan 5 preventive action yang memberikan feedback paling tinggi pada resiko maintenance. Kerusakan part, kurangnya jadwal perawatan, dan gangguan kelistrikan merupakan Risk agent yang berpengaruh terhadap operasional extruder. Tindakan pencegahan yang bisa dilakukan adalah melaksanakan pengecekan mesin tiap minggu. ABSTRACTThe technology used by the company is increasing by the following times, to ensure a smooth production process had to heed to productivity maintenance. The problem that occurs is the high cost incurred due to the length of downtime on one of the machines, which is the extruder machine. This research examines maintenance management. The Overall Equipment Effectiveness (OEE) method is used to measure maintenance efficiency. Analysis of operational risks during the production process using the House of Risk (HOR). Overall Equipment Effectiveness data processing starts with measuring three components, Availability, Performance, and Rate of Quality. Within one year, the average OEE value of the extruder machine in 2022 was 74.04%. Risk identification is carried out in the extruder machine maintenance process. The results of measuring the effectiveness to difficulty ratio obtained three mitigation priorities on the extruder machine obtained an OEE value below the overall plant efficiency of 85%. On this basis, six risk agents and five preventive actions were selected that produced the highest feedback on maintenance risks. Part damage, lack of scheduled maintenance, and electrical interference are risk agents that affect extruder operations. Preventive action that can be done is to carry out machine checks every week.
PENJADWALAN PERAWATAN MESIN MILLING PIPE DENGAN PENDEKATAN SIMULASI MONTE CARLO PADA PT WPP
Authors: Firmansyah Moch. Faries , Widiasih Wiwin 
Published: October 2023

PT WPP merupakan industri manufaktur yang memproduksi pipa stainlees. Karena keadaan daya saing bisnis saat ini, organisasi harus dapat mempertahankan ketergantungan peralatan manufaktur mereka untuk memastikan kelancaran proses produksi.. PT WPP mengaplikasikan metode preventive maintenance pada perawatan mesin produksinya hanya saja dalam penentuan jadwal belum optimal, hanya berlandaskan patokan dari kegagalan-kegagalan yang terjadi sebelumnya. Dalam mesin produksi pipa stainlees, PT WPP memiliki 3 mesin produksi yaitu mesin slitter, mesin milling pipe, dan mesin polishing. Mesin produksi yang memiliki breakdown tertinggi yaitu mesin milling pipe dengan frekuensi breakdown 444. Berdasarkan analisis pareto didapatkan 8 komponen kritis dengan downtime tertinggi yaitu abrasive, gearbox, sander, cutter, as cutter, welding, water pump, dan hower. Simulasi monte carlo dapat menguji jadwal perawatan yang optimal. Hasil dari Simulasi didapatkan interval waktu perawatan preventive untuk komponen abrasive 11 hari, komponen gearbox 15 hari, komponen sander 23 hari, komponen cutter 9 hari, komponen as cutter 170 hari, komponen welding 43 hari, komponen water pump 32 hari, dan komponen hower 25 hari. Dengan mengaplikasikan interval waktu optimum dapat meningkatkan keandalan menjadi 35,33% hingga 65,33%. ABSTRACT PT WPP is a manufacturing industry that produces stainless steel pipes. Due to the current state of business competitiveness, organizations must be able to maintain dependence on their manufacturing equipment to ensure the smooth running of the production process. PT WPP applies the preventive maintenance method to the maintenance of its production machines but the schedule is not optimal, only based on the benchmark of failures that occur previously. In terms of stainless steel pipe production machines, PT WPP has 3 production machines namely slitter machines, pipe milling machines and polishing machines. The production machine that has the highest breakdown is the pipe milling machine with a breakdown frequency of 444. Based on the Pareto analysis, 8 critical components with the highest downtime are obtained, namely abrasives, gearbox, sander, cutter, axle cutter, welding, water pump, and hower. Monte carlo simulation can test the optimal maintenance schedule. The results of the simulation obtained preventive maintenance time intervals for abrasive components 11 days, gearbox components 15 days, sander components 23 days, cutter components 9 days, axle components cutter 170 days, welding components 43 days, water pump components 32 days, and hower components 25 day. Applying the optimum time interval can increase the reliability to 35.33% to 65.33%.
МАШИНАЛЫҚ ОҚЫТУДЫ ПАЙДАЛАНЫП СӨЙЛЕУ ЭМОЦИЯЛАРЫН ТАНУ
Authors: Ералханова А.Т. 
Published: October 2023

С развитием технологий распознавания мультимедийных образов, которая позволяет извлекать и анализировать большие объемы мультимедийной информации из видео- и аудио- источников, наблюдается большой рост применения технологии машинного обучения с использованием глубокого обучения для решения различных задач. Распознавание речевых эмоций (или классификация) – одна из самых сложных тем в науке о данных. В этой работе, мы использовали архитектуру на основе MLP-классификатора, которая извлекает мел- частотные кепстрал коэффициенты, хромограммы, мел-шкале спектрограммы из звуковых файлов и использует их в качестве входных данных нейронной сети для идентификации эмоций, используя образцы из Райерсон аудиовизуальной базе эмоциональной речи и песни (RAVDESS). Была разработана модель нейронной сети для распознавания четырех эмоций (спокойствие, гнев, страх, отвращение). Данная модель классифицирует речевые эмоции с точностью 83,33%. Ключевые слова: голос, распознавание эмоций, MLP-классификатор, RAVDESS, jupyter notebook, Python.
Бейне және дыбыс көздерінен мультимедиялық ақпараттың үлкен көлемін шығаруға және талдауға мүмкіндік беретін мультимедиялық кескінді тану технологияларының дамуымен әртүрлі мәселелерді шешу үшін терең оқытуды пайдалана отырып, машиналық оқыту технологиясын пайдаланудың айтарлықтай өсуі байқалды. Сөйлеу эмоциясын тану (немесе жіктеу) деректер ғылымындағы ең күрделі тақырыптардың бірі болып табылады. Бұл жұмыста біз MLP классификаторы негізіндегі архитектураны қолдандық. Райерсон эмоционалды сөйлеу мен әннің аудио-визуалды дерекқорынан (RAVDESS) үлгілерді пайдалана отырып, аудио файлдардан мел-жиілігінің кепстрал коэффициенттері, хромограммалар, мел-шкаласындағы спектрограммалар шығарылып, эмоцияларды анықтау үшін олар нейрондық желінің кірісі ретінде пайдаланылды. Төрт эмоцияны (тыныштық, ашу, қорқыныш, жиіркеніш) тану үшін нейрондық желі моделі әзірленді. Бұл модель сөйлеу эмоцияларын 83,33% дәлдікпен жіктейді. Түйін сөздер: дауыс, эмоцияны тану, MLP классификаторы, RAVDESS, jupyter notebook, Python.
With the development of multimedia image recognition technologies, which allows extracting and analyzing large amounts of multimedia information from video and audio sources, there has been a large increase in the use of machine learning technology using deep learning to solve various problems. Speech emotion recognition (or classification) is one of the most complex topics in data science. In this work, we used an MLP classifier-based architecture that extracts chalk-frequency cepstral coefficients, chromograms, chalk-scale spectrograms from audio files and uses these as input to a neural network for emotion identification using samples from the Ryerson Audio-Visual Emotional Speech and Song (RAVDESS). A neural network model was developed to recognize four emotions (calm, anger, fear, disgust). This model classifies speech emotions with an accuracy of 83.33%. Keywords: voice, emotion recognition, MLP classifier, RAVDESS, jupyter notebook, Python.
ЛАУРИЧЕЛЛА ЖҮЙЕЛЕРІНЕН АЛЫНҒАН АЗҒЫНДАЛҒАН ЖҮЙЕЛЕРДІҢ КӨП ӨЛШЕМДІ ҚАЛЫПТЫ-РЕГУЛЯРЛЫ ШЕШІМДЕРІ
Authors: Исенова А.А. 
Published: October 2023

В работе изучены возможности построения нормально-регулярных решений вырожденных систем полученных из систем Лауричелла путем предельного перехода. Исследованы ряд важных частных случаев систем, с решениями в виде нормально-регулярных решений. Доказаны некоторые свойства таких рядов, установлены связь этих рядов с вновь введенными функциями В.И.Художникова. Установлены также необходимые условия существования нормально-регулярных решений систем типа Горна состоящих из двух и более уравнений. Построенные новые решения являются обобщениями известных функции Горна и Гумберта двух переменных. Необходимые и достаточные условия существования нормально-регулярных решений системы устанавливаются с помощью понятия ранга и антиранга. Для построения решения применяются модифицированный метод Фробениуса-Латышевой. Ключевые слова: связь, свойства, нормально-регулярные решения, гипергеометрическая функция, система Горна, система Лауричелла, функция В.И.Художникова.
Жұмыста шекті ауысу арқылы Лауричелла жүйелерінен алынған азғындалған жүйелердің қалыпты-регулярлы шешімдерін құру мүмкіндіктері зерттелді. Шешімдері қалыпты-регулярлы шешімдер түрінде болатын жүйелердің бірқатар маңызды ерекше жағдайлары зерттелді. Мұндай қатарлардың кейбір қасиеттері дәлелденді, осы қатарлардың В.И.Художников жаңадан енгізілген функцияларымен байланысы орнатылды. Сондай-ақ, екі немесе одан да көп теңдеулерден тұратын Горн типті жүйелердің қалыпты-регулярлы шешімдерінің болуы үшін қажетті шарттары орнатылған. Тұрғызылған жаңа шешімдер белгілі Горн және екі айнымалылы Гумберт функцияларының жалпылауы болып табылады. Жүйенің қалыпты-регулярлы шешімдері бар болуының қажетті және жеткілікті шарттары ранг және антиранг ұғымдары арқылы орнатылады. Шешімді құру үшін модификацияланған Фробениус-Латышева әдісі қолданылады. Түйін сөздер: байланыс, қасиеттер, қалыпты-регулярлы шешімдер, гипергеометриялық функция, Горн жүйесі, Лауричелла жүйесі, В.И. Художников функциясы.
In this paper, the possibilities of constructing normal-regular solutions of degenerate systems obtained from Laurichella systems by limiting transition are studied. A number of important special cases of systems with solutions in the form of normally regular solutions are investigated. Some properties of such series are proved, the connections of these series with the newly introduced functions of V.I. Khudozhnikov are established. The necessary conditions for the existence of normally regular solutions of Horn-type systems consisting of two or more equations are also established. The constructed new solutions are generalizations of the well-known Horn and Humbert functions of two variables. The necessary and sufficient conditions for the existence of normally regular solutions are established using the concepts of rank and antirank. A modified Frobenius-Latysheva method is used to construct the solution. Keywords: connection, properties, normal-regular solutions, hypergeometric function, Horn system, Laurichella system, V.I. Khudozhnikov function.
ПРИМЕНЕНИЕ МЕТОДОВ МАШИННОГО ОБУЧЕНИЯ НА РЫНКЕ НЕДВИЖИМОСТИ АЛМАТЫ
Authors: Сапакова С.З. 
Published: October 2023

Бұл жұмыста Алматы қаласының Әуезов және Бостандық аудандары бойынша жылжымайтын мүлік нарығы қарастырылды. Бұл нарық әлемдік экономиканың маңызды саласы екені белгілі. Қазақстанда тұрғын үй жылжымайтын мүлік нарығы көптеген ерекшеліктерімен сипатталатын жүз мыңдаған пәтерлерден тұратын күрделі құрылым болып табылады. Бұл ретте нарықтағы кез келген өзгерістер алыпсатарлыққа және жылжымайтын мүлік бағасының әдейі көтерілуіне себеп болуы мүмкін. Сондықтан пәтердің нақты құны қандай және қай жерде қымбаттырақ екенін түсіну маңызды. Зерттеу барысында машиналық оқыту әдістерін пайдалана отырып, жылжымайтын мүліктің құнын болжау моделін құру қарастырылды. Жұмыста машиналық оқытудың бірнеше алгоритмі: Linear Regression, Lasso, Ridge, Decision Tree Regression, Random Forest Regression, SVМ (Gaussian kernel) қолданылды, олардың жұмыс нәтижелері мен дәлдіктері көрсетілді. Түйiн сөздер: машиналық оқыту, жылжымайтын мүлік, мәліметтерді өңдеу, регрессиялық талдау, алгоритм.
В данной работе был рассмотрен рынок недвижимости в Ауэзовском и Бостандыкском районах города Алматы. Известно, что этот рынок является важным сектором мировой экономики. Рынок жилой недвижимости Казахстана представляет собой сложную структуру, состоящую из сотен тысяч квартир, характеризующихся многими особенностями. В то же время любые изменения на рынке могут стать причиной спекуляций и преднамеренного повышения цен на недвижимость. Поэтому важно понимать, какова реальная стоимость квартиры и где она дороже. В ходе исследования было рассмотрено создание модели прогнозирования стоимости недвижимости с использованием методов машинного обучения. В работе использовались несколько алгоритмов машинного обучения: Linear Regression, Lasso, Ridge, Decision Tree Regression, Random Forest Regression, SVM (Gaussian kernel), показаны результаты их работы и точность. Ключевые слова: машинное обучение, недвижимость, обработка данных, регрессионный анализ, алгоритм.
In this work, the real estate market in Auezov and Bostandyk districts of Almaty city was considered. It is known that this market is an important sector of the world economy. The residential real estate market in Kazakhstan is a complex structure consisting of hundreds of thousands of apartments characterized by many features. At the same time, any changes in the market can cause speculation and deliberate increase in real estate prices. Therefore, it is important to understand what the real cost of the apartment is and where it is more expensive. In the course of the study, the creation of a real estate value prediction model was considered using machine learning methods. Several algorithms of machine learning: Linear Regression, Lasso, Ridge, Decision Tree Regression, Random Forest Regression, SVM (Gaussian kernel) were used in the work, their work results and accuracy were shown. Keywords: machine learning, real estate, data processing, regression analysis, algorithm.
ЕУРАЗИЯШЫЛДЫҚ АҒЫМЫ ЖӘНЕ ҚАЗАҚСТАН РЕСПУБЛИКАСЫНЫҢ ЕУРАЗИЯДАҒЫ ИНТЕГРАЦИЯЛЫҚ ҮДЕРІСТЕРДЕГІ РӨЛІ
Authors: Özer T.Ç. 
Published: October 2023

The Republic of Kazakhstan, which gained its independence with the collapse of the bipolar world order, faced many economic and national security problems. Since the first day of its independence, it has tried to solve these problems with integration movements. On the one hand, Kazakhstan pioneered the establishment of some organizations in order to implement its own foreign policy objectives in the region, on the other hand, it actively participated in the organizations established based on keeping Russia and China on an equal footing. Thus, the balanced multi-dimensional foreign policy of Kazakhstan in order to survive as an independent state was also reflected in the regional integration movements. In the research, the integration process in Kazakhstan's foreign policy will be examined and some important problems in the context of national security will be discussed. Keywords:Foreign Policy, Integration, Eurasianism, Actor, Diplomacy, National Security, Eurasian Economic Union.
Биполярлық әлемдік тәртіптің ыдырауымен тәуелсіздік алған Қазақстан Республикасы экономика мен ұлттық қауіпсіздік саласында көптеген мәселелерге тап болды. Тәуелсіздіктің алғашқы күнінен бастап интеграциялық қозғалыстардың көмегімен бұл мәселелерді шешуге тырысты. Бір жағынан, Қазақстан аймақта өзінің сыртқы саяси міндеттерін жүзеге асыру үшін бірқатар ұйымдарды құрудың бастамашысы болса, екінші жағынан, Ресей мен Қытай арасындағы күштер тепе-теңдігін сақтау негізінде құрылған ұйымдарға белсенді түрде қатысты. Осылайша, Қазақстанның тәуелсіз мемлекет ретінде күшеюге бағытталған теңгерімді көпқырлы сыртқы саясаты аймақтық интеграциялық қозғалыстарда көрініс тапты. Мақалада Қазақстанның сыртқы саясатындағы интеграциялық үдерістерді зерттеп, ұлттық қауіпсіздік контекстіндегі кейбір маңызды мәселелер зерттелді. Түйін сөздер: Сыртқы саясат, интеграция, Еуразияшылдық, актор, дипломатия, ұлттық қауіпсіздік, Еуразиялық экономикалық одақ.
Республика Казахстан, получившая независимость с распадом биполярного миропорядка, столкнулась с множеством проблем в области экономики и национальной безопасности. С первого дня своей независимости она пыталась решить эти проблемы с помощью интеграционных движений. С одной стороны, Казахстан был инициатором создания ряда организаций для реализации собственных внешнеполитических задач в регионе, с другой – активно участвовал в организациях, созданных на основе сохранения баланса сил России и Китая. Таким образом, взвешенная многоплановая внешняя политика Казахстана с целью выживания в качестве независимого государства нашла свое отражение и в региональных интеграционных движениях. В исследовании будут рассмотрены интеграционные процессы во внешней политике Казахстана и обсуждены некоторые важные проблемы в контексте национальной безопасности. Ключевые слова: Внешняя политика, интеграция, Евразийство, актор, дипломатия, национальная безопасность, Евразийский экономический союз.