bluuebunny/crossref_metadata_2025 huggingface dataset:
Stock Price Forecasting Using Machine Learning and Deep Learning Algorithms: A Case Study for the Aviation Industry
Authors: Gür Yunus Emre
Published: October 2023

With technological advances, humans are constantly generating data through various electronic devices and sensors, and this data is stored in digital environments. A vast amount of data has served as a valuable asset that has facilitated the rise and progression of novel fields, including data science, artificial intelligence (AI), deep learning (DL), and the internet of things (IoT). Effectively managing and analyzing data provides a competitive advantage for modern businesses. The objective of this study is to forecast the stock price of Turkish Airlines (THY), a publicly traded corporation listed on Borsa Istanbul. In order to achieve the intended objective, the utilization of machine learning approaches like SVM and XGBoost, as well as the deep learning algorithm Long Short-Term Memory (LSTM), are used. The models are trained over a time period including daily data from January 4, 2010 to September 5, 2023. The forecast performance of the models is evaluated by comparing the actual and predicted stock prices and the model with the lowest error is identified. The proposed models' performances are assessed using the RMSE, MSE, MAE, and R2 error statistics. According to the results obtained, it is determined that the LSTM model has lower error coefficients than SVM and XGBoost models and gives the best performance.
Adapting remote photoplethysmography for Indonesian subjects: an examination of diverse rPPG techniques
Authors: Aprini Istighfariza , Manullang Martin Clinton Tosima
Published: October 2023

Vital sign measurements are essential in intensive care patients, such as in the ICU or emergency department, and also for newborns or prenatal babies. The duty nurse usually monitors these vital signs by manually writing down the patient's condition on a large piece of paper in front of the patient's room. The lack of nurses can hinder the process of monitoring patient vital signs. However, since the COVID-19 pandemic, people have limited contact with their surroundings, making measuring vital signs with contact uncomfortable and unhygienic. The typical non-contact method for measuring heart rate is the remote photoplethysmography (rPPG) technique. In this study, we proposed to assess the performance of various rPPG algorithms on the Indonesian subjects dataset. The algorithms used are CHROM, GREEN, ICA, LGI, PBV, PCA, and POS on 70 pieces of data. Based on the test results with three types of evaluation metrics, namely MAE (Mean Absolute Error), RMSE (Root Mean Square Error), and Bland Altman, it is found that the measurement results with the best performance POS algorithm with a low prediction error rate with the resulting MAE value of 2.59 and RMSE of 4.65.
Overcurrent and ground fault relay protection settings at tranformator-1 150kV/20kV Braga substation
Authors: Rusiana Iskandar Handoko , Mulyono Herry , Charisma Atik , Hidayat Muhammad Reza
Published: October 2023

The occurrence of a malfunction at the substation results in power outages and losses in the electrical energy distribution system to consumers. Many tests are carried out to see the performance of the protection system, including the parameters of the over current relay (OCR) and ground fault relay (GFR) in the electrical energy distribution system. This research aims to analyze OCR and GFR values, analyze OCR setting, drop-off, and pick-up values, and analyze OCR time characteristics using DigSilent Power Factory 15.1 software based on existing equipment specification data at the Braga substation. The results show an OCR accuracy level of around 94% on the 20 kV and 150 kV sides. Meanwhile, 92.39% on the 20 kV GFR side and 94.87% on the 150 kV side. The setting value for the pick-up current is 0.92 A on the 20 kV side of the GFR and the drop-off current is 0.85 A on the 150 kV side with a pick-up current of 0.39 A and a drop-up current of 0.37 A. Setting a value on the 20kV side is greater than on the 150 kV side due to the difference in current transformer ratio values. The simulation results show that the OCR and GFR characteristic curves on both sides meet the criteria for a protection system with good performance.
Desain dan implementasi modul praktikum SCADA untuk otomasi gedung berbasis Ethernet
Authors: Ariefka Septian Putra Febi , Mulyono Nanang , Tohir Toto , Septiyanto Dwi , Muhammad Ilman Sofyan
Published: October 2023

Bidang otomasi tercipta lebih dari tiga dasarwasa sebagai upaya untuk meningkatkan kemudahan dalam aspek pengoperasian suatu sistem yang kompleks di sektor industri, komersil dan lain sebagainya. Teknologi tersebut memiliki keuntungan seperti, mempermudah pengawasan, dan pengendalian sistem industri pada jarak yang cukup jauh. Pada penelitian ini penulis mengusulkan pengawasan jaringan sub-sub sistem otomasi gedung yang berupa simulator-simulator dan hasil pengawasannya beserta pengendaliannya dapat di pantau melalui HMI dengan media komunikasi ethernet sebagai perolehan dan pengiriman perintah.  Sistem tersebut akan melakukan pemantauan status operasi jaringan dari sub-sub sistem otomasi baik dalam keadaan normal maupun terdapat gangguan. Pengaturan parameter dari setiap perubahan kondisi dilakukan secara real-time dan data tersebut dapat dipantau oleh pusat kendali utama. Hasil penelitian menunjukkan sebuah konsul kendali beserta sub-sub sistem otomasi gedung yang berupa simulator telah terintegrasi dengan kendali pusat dan dapat bekerja dengan baik ketika terjadi gangguan, tampilan HMI pada pusat kendali utama dapat menerima informasi indikasi gangguan dari setiap sub-sub sistem simulator. Ketika gangguan terjadi pada sub sistem, maka lampu indikasi yang berada pada pusat kendali utama akan berwarna hijau, dan kondisi normal akan berwarna merah. Untuk respon penerimaan data dari setiap sub sistem menunjukkan waktu yang cukup cepat yaitu dibawah 3,5 detik.
Desain dan implementasi rangkaian konverter jenis non-isolated buck and boost DC-DC
Authors: Andini Dianthika Puteri , Saefudin Didin , Handayani Peni , Sugiarta YB Gunawan , Vauzia Farrah , Suyanto Suyanto
Published: October 2023

Konverter DC-DC umumnya dikategorikan ke dalam dua kategori, yaitu: isolated dan non-isolated. Topologi konverter non-isolated tidak memiliki isolasi galvanik antara masukan dan keluaran, variasi pada masukan secara langsung mempengaruhi keluaran konverter. Jumlah komponen pada rangkaian non-isolated adalah kurang secara jumlah jika dibandingkan dengan konverter isolated. Namun, permasalahan yang muncul dan perlu ditangain adalah rasio duty cycle, penguatan tegangan yang buruk, dan sirkuit tambahan untuk operasi yang optimal. Pada penelitian ini dibahas secara singkat mengenai model switching dari two state buck boost converter dibandingkan dengan manual buck-boost converter berdasarkan metode eksperimen yang dilakukan untuk melihat tegangan masukan dan keluaran apakah terjadi perubahan kenaikan atau penurunan tegangan DC. Pada penelitian ini, rangkaian konverter tipe buck dapat menurunkan tegangan dari 4-12V ke 3,2-3,5V dan tipe boost dapat menaikkan tegangan dari 2-12V ke 2V-16,5V. Berdasarkan hasil pengujian, rangkaian osilator mampu membangkitkan modulasi lebar pulsa dan mengatur duty cycle dari 79% hingga 94% karena keterbatasan penggunaan komponen dan terjadi drop tegangan pada rangkaian buck-boost dengan beban rheostat 330Ohm/2,5A. Rangkaian konverter two state buck-boost dapat bekerja sesuai dengan fungsinya dengan pengaturan parameter duty cycle dan juga manual buck-boost bekerja sesuai prinsip kerjanya untuk pebandingan penurunan dan kenaikan tegangan berdasarkan frekuensi yang berbeda. Pengembangan selanjutnya adalah variasi beban dan fungsi buck-boost yang berbeda, seperti tegangan keluaran konstan terhadap perubahan masukan dan juga duty cycle dengan range yang lebih besar.
TÜRKİYE’DE BÜTÇE AÇIKLARININ BİST-100 ENDEKSİ ÜZERİNDEKİ ETKİSİ
Authors: GÜLER Hünkar , HAYKIR Özkan
Published: October 2023

Bu çalışmada, bütçe açıklarının BİST-100 endeksi üzerindeki etkisi ARDL modeli kullanılarak 2003Q1-2019Q4 dönemi için tahmin edilmektedir. Bütçe açığı gibi makroekonomik bir değişkenin hisse senedi fiyatları üzerindeki etkisinin bilinmesi piyasa etkinliği, sermaye hareketleri ve yatırım kararları açısından önem taşımaktadır. Çalışmanın analiz sonuçları, modelin uzun dönemde entegre olmakla birlikte, bütçe dengesi ile borsa endeksi arasında istatistiki olarak anlamlı bir ilişki bulunmadığını göstermektedir. Bununla birlikte, kısa dönemde bütçe açığındaki bir azalış borsa endeksini pozitif yönde etkilemektedir. Uzun dönemde GSYH, TÜFE ve döviz kuru değişkenleri ile borsa endeksi arasında istatistiksel olarak anlamlı bir ilişki bulunmamakla birlikte para arzı ile borsa endeksi arasında pozitif; faiz oranı ile borsa endeksi arasında ise negatif bir ilişki bulunmaktadır. Kısa dönemde, döviz kuru ile menkul kıymetler borsası arasında negatif ve faiz oranı ile menkul kıymetler borsası arasında pozitif bir ilişki söz konusudur. Kısa dönemde döviz kuru getirisinin borsa getirisinden yüksek olması Türkiye’de döviz kurunun borsanın alternatifi olduğunu göstermektedir. Para arzı ve döviz kurlarındaki istikrarın borsa üzerindeki olumlu etkisi dikkate alındığında mali disiplinin uzun dönem etkisi üzerinde durulmalıdır.
Cumhuriyetin Yüzüncü Yılında Mimarlıkta Temsiliyetin Atatürk Kültür Merkezi Üzerinden Değerlendirilmesi
Authors: ÖNCEL Fernaz
Published: October 2023

Mimaride temsil nesnesi olan kutsallıklar zamanla değişip, dönüşmektedir. Bu süreçte korumanın rolü değişimin kontrol altında tutulmasıdır. Zamanla ihtiyaçlar ve dönemsel siyasi hareketler doğrultusunda değişen Taksim meydanının önemli kırılma noktalarından biri 20. yüzyılda yaşanmıştır. Bu dönem Cumhuriyet ilan edilmiştir ve tüm dünyada yaygınlaşan modernizm akımı Türkiye’de etkisini göstermiştir. Bu kırılmanın temsili olan Atatürk Kültür Merkezi (1977-İstanbul) modernist hareketin etkileriyle yapılan Cumhuriyet Döneminin simge yapısı olarak kent belleğinde önemli bir yere sahiptir. AKM Türkiye’deki önemli değişimlerine şahit olmuştur ve bunların bir nesnesi haline gelmiştir. Bu çalışma kapsamında yeni AKM’nin temsiliyet sorunu, özgünlüğü gibi konular koruma bağlamında ele alınıp, gelecekteki yerine dair sorgulamaların yapılması amaçlanmıştır. Taksim meydanı ve yeni AKM’nin sınırlı ve kontrollü yeni halinin birbirini destekleme durumu ve AKM’nin yıkılıp yeniden yapımının, benzer örneklerle karşılaştırılarak tartışılması amaçlanmıştır. Yeni bir ulusun inşası ile doğan AKM’nin Cumhuriyetin yüzüncü yılındaki temsiliyeti ve yüz sonraki temsiliyetine dair sorgulamalar, yapının gelecekteki yeri için önemlidir. Bu çalışma kapsamında, temsiliyet ve koruma kavramları AKM bağlamında sorgulanmıştır. Kamusal alan ve kültür yapısı ilişkisi AKM ve Taksim Meydanı üzerinden ele alınmıştır. AKM’nin koruma değerleri ortaya çıkarılmıştır. AKM’nin dünü, bugünü ve geleceği arasında bir bağ kurularak yapı ele alınmıştır. Dünyadaki benzer süreçleri geçiren, benzer örnekler ile karşılaştırmalar yapılmıştır. Bu çalışmalara dair değerlendirmeler sonuç bölümünde açıklanmıştır. Yerinde gözlem ve kullanıcı deneyimi ile alanın işlevsel ve fiziksel durumu gözlemlenmiştir. Literatür araştırması sonucu elde edilen bulgular AKM’nin dünü, bugünü ve yarını bağlamında, Taksim Meydanı ile ele alınmıştır. Kavramsal sorgulamaların fiziksel karşılıkları ortaya çıkarılmaya çalışılmıştır. Dünyadaki benzer uygulamalar kategorilendirilerek karşılaştırılmıştır. Ancak yeni ve eski Atatürk Kültür Merkezi’nin arasında geçmişe, günümüze ve geleceğe dair bir diyalog kurulabilirse, yapının yaşatılmasının ve gelecek nesillere aktarılmasının mümkün olabileceği düşünülmektedir.
Predictive Modeling of Urban Traffic Accident Severity in Türkiye's Centennial: Machine Learning Approaches for Sustainable Cities
Authors: KORKMAZ Adem
Published: October 2023

With their far-reaching implications for public health, urban development, and societal harmony, traffic accidents remain a global challenge. As the Republic of Türkiye marks its 100th year, predicting traffic accident severity assumes critical significance, aligning with the nation's aspirations for urban renewal and sustainable progress. This research harnesses the capabilities of machine learning (ML) to anticipate accident severities, shedding light on the critical roles of specific driver and vehicle characteristics. In-depth evaluation of various ML techniques—spanning from Random Forest (RF) and Gaussian Naive Bayes to k-NN, CatBoostClassifier, LightGBM, and Decision Trees—was undertaken, drawing on an expansive dataset that mirrors a spectrum of traffic situations. The RF algorithm demonstrated superior predictive prowess, with certain variables such as Engine_Capacity_(CC), Age_of_Driver, Age_of_Vehicle, Day_of_Week, and Vehicle_Type emerging as decisive factors in accident outcomes. Beyond highlighting RF's potential in accident severity prediction, the study emphasizes the significance of critical determinants. These insights offer a roadmap for stakeholders to craft specialized interventions, amplify public awareness efforts, and pioneer infrastructural upgrades, culminating in a vision of enhanced road safety. Furthermore, this investigation charts a course for Türkiye to foster a sustainable urban trajectory through informed urban and traffic planning initiatives.
Effect of Ga Concentration on the Output Performance of ZnO Piezoelectric Nanorods Nanogenerator
Authors: Wu Tung-Lung , Meen Teen-Hang , Chang Yu-Chuan
Published: October 2023

In this study, a self-assembled monolayer of octyltriethoxysilane was grown on ITO glass. Subsequently, a hydrothermal method was employed to grow low-density gallium (Ga)-doped zinc oxide (ZnO) nanorod structures. In this growth process, the undoped pure ZnO nanorods and ZnO nanorods doped with five different Ga concentrations were developed. After growing the nanorods, X-ray diffraction (XRD) analysis was conducted on both undoped pure ZnO and Ga-doped ZnO nanorods to observe the influence of Ga concentration on the crystalline structure of the ZnO nanorods. Additionally, scanning electron microscopy (SEM) was utilized to examine changes in the surface and cross-sectional growth of ZnO nanorods with varying Ga concentrations, thereby investigating the impact of Ga concentration on the growth of ZnO nanorods. Finally, a thin Pt film was sputtered onto the ZnO nanorod structures to assemble nanogenerators. Ultrasonic excitation was applied to develop these nanogenerators for electrical measurements, allowing us to explore the effects of metal doping on the nanorods’ electrical properties.
Identifikasi Logam Berat Pb dan Cd Pada Air Sumur Di Kampung Bugis Wosi Papua Barat
Authors: Sulu Parubak Apriani , Rombe Yunita Pare , Sarera Surbakti Putri , Murtihapsari  , Larasati Christiana Niken , Yogaswara Radite , Anwar Arniana , Appa Felycitae Ekalaya , Lidiawati Dewi
Published: October 2023

Air merupakan suatu senyawa yang tidak terpisahkan  dalam kehidupan mahkluk hidup yang ada di alam semesta. Air dapat dijadihkan sebagai komsumsi sehari-hari apabila memenuhi standar baku mutu air dalam kesehatan. Standar baku mutu air minum di Indonesia, terutama air tanah, dalam hal ini sumur, diatur dalam Peraturan Menteri Kesehatan RI No 492/2010. Mutu kulitas air minum dan air bersih yang dapat dikomsumsi oleh manusia tidak melebihi ambang batas maksmium yang ditetapkan agar tidak menyebabkan gangguan kesehatan bagi tubuh manusia sehingga diperlukan syarat kualitas air minum meliputi parameter fisik, parameter kimiawi, paramater mikrobiologi dan parameter radioaktif. Tujuan dari penelitian ini adalah untuk mengetahui kandungan logam berat Pb dan Cd pada air sumur di kampung bugis Wosi Papua Barat. Metode analisis menggunakan AAS (Atomic Absorption Spectrophotometry). Kandungan logam berat Pb dan Cd dalam air sumur di kampung bugis Wosi Papua Barat dari empat titik lokasi dengan nilai rata-rata sebesar 0,0675 mg/L dan 0,01 mg/L.
Kata kunci: Air sumur, Logam berat, Papua Barat
Peran Tax Avoidance sebagai Moderasi: Profitabilitas, Intensitas Modal, Ukuran Perusahaan, Solvabilitas
Authors: Wijaya Andhito Rahmadhan , Subiyantoro Edy , Assih Prihat
Published: October 2023

This study investigates the moderating role of Tax Avoidance in relation to profitability, solvency, capital intensity, and firm size. Data was processed using the statistical software SPSS. The results of the analysis indicate that the correlation between Return on Assets (ROA) and Debt Asset Ratio (DAR) exhibits a significant negative association. Firm size demonstrates a significant positive correlation with DAR, while capital intensity also shows a significant positive relationship with DAR. However, the interaction between ROA and Tax Avoidance does not exhibit statistical significance in its relationship with DAR. These findings illustrate that Tax Avoidance does not act as a moderator in the relationship between ROA and DAR. The outcomes of this study offer insights into how these elements can shape a company's financial structure and underscore the importance of considering the interactions among these variables in financial decision-making.
Design and Development of Flow Analyzer for Peak Inspiratory Flow (PIF) and Peak Expiratory Flow (PEF) Parameters.
Authors: Wahyu Pambudi Andri Lazuardi , Yulianto Endro , Wakidi Levana Forra
Published: October 2023

The PIF and PEF parameters on the ventilator need to be taken into account to monitor the condition of patients undergoing mechanical ventilation. Both of these parameters need to undergo periodic testing to ensure that the ventilator can provide accurate information to its users. The testing of these two parameters can be conducted using a flow analyzer. The objective of this research is to develop a flow analyzer for PIF and PEF parameters using the AFM3000 flow sensor, with the results displayed on an LCD TFT screen in the form of graphs and numerical values. The research measurements were conducted in Volume Control (VC) mode with VT settings of 200, 300, 400, 500, and 600 mL. Data collection was done using two methods to obtain two different types of data. From the first data collection, the largest errors in reading PIF and PEF values were found to be 3.49% and 2.99%, respectively. The second data collection resulted in a sensor's change in reading constant flow of ±0.1 LPM. Overall, the research findings indicate that the AFM3000 sensor has good accuracy and stability. Additionally, the AFM3000 flow sensor has good sensitivity and very short delay, making it suitable for real-time graph display in the module.
Integrated Visitor Management System with Smart Hand Sanitizer based on IoT Approach
Authors: Hafidz Adli Al , Pujiharsono Herryawan , Kadarisman Kadarisman , Yusro Muhammad
Published: October 2023

Establishing visitor management system is necessary to manage the total number of visitors especially in pandemic when the protocol of social distancing is applied. The purpose of this research is to design a visitor management system integrated with an automatic Internet of Things (IoT)-based hand sanitizer using Arduino. This research contributes to answering the two challenges which are managing the total number of visitors and providing protection against bacteria or viruses.  The improvement of this system compared to the existing similar approach is the automatic hand sanitizers could be installed at two entrances and exits which can simultaneously limit the number of visitors who will be monitored through the IoT platform. This system is designed with Arduino Uno R3 components as a microcontroller, ultrasonic sensors which will be installed at two entrances and exits, and automatic hand sanitizer using a water pump. For remote monitoring use the IoT platform with the ESP8266 ESP-01 Wi-Fi module as a link. From the results of testing this system, the results of testing the correct hand distance when using a hand sanitizer are from 3 cm to 9 cm and the right amount of hand sanitizer liquid volume is approximately 1 ml for a duration of 250 milliseconds. The system design has been successful for visitor management and the hand sanitizer works well. The Thingspeak webserver can receive visitor data and send it to the MIT app as a display for remote monitoring. Hopefully, this system could support the situation which needs to manage the restriction of total number visitors and hygiene practice in a more efficient way.
Peran Efikasi Guru Sebagai Mediator dalam Hubungan Conscientiousness dan Teacher Burnout
Authors: Lesmana Gabriella Karthika , Septiana Eva , Seniati Ali Nina Liche
Published: October 2023

Guru adalah profesi yang rentan burnout. Dampak dari teacher burnout juga berpengaruh terhadap institusi dan peserta didik. Beberapa faktor yang berpengaruh terhadap teacher burnout adalah conscientiousness serta efikasi guru. Penelitian ini bertujuan untuk melihat apakah conscientiousness dapat memengaruhi teacher burnout lewat mediasi efikasi guru. Partisipan penelitian ini adalah guru dari seluruh jenjang pendidikan formal di Indonesia yang mengajar selama minimal enam bulan (N=303). Hasil penelitian menunjukkan bahwa conscientiousness memprediksi teacher burnout melalui efikasi guru secara signifikan, F (2, 301) = 80,290, p < 0,001, R2 = 0,2106. Dalam melakukan rekrutmen guru, kepribadian dapat menjadi salah satu pertimbangan. Intervensi terkait dengan efikasi guru juga dapat semakin menurunkan angka teacher burnout.
Bersama Lawan Kekerasan Digital: Peran Orang Tua dan Teman Sebaya dalam Mengatasi Cyberviolance
Authors: Irmayanti Nur , Grahani Firsty Oktaria
Published: October 2023

Penelitian ini fokus menganalisis peran yang dimainkan oleh orang tua dan teman sebaya dalam menghadapi tantangan cyberviolance, yaitu kekerasan digital dalam lingkungan online. Era digital telah memperluas interaksi individu muda di dunia maya, namun juga membuka peluang terhadap risiko seperti ancaman, pelecehan, dan kekerasan dalam bentuk digital. Dengan menggunakan pendekatan kuantitatif, data dikumpulkan melalui survei yang diisi oleh siswa sebagai responden utama. Sampel dalam penelitian ini adalah siswa di Surabaya dengan jumlah 149 siswa, uji analisis menggunakan uji regresi sederhana dengan hasil analisis menyatakan bahwa peran orang tua dalam memberikan panduan dan dukungan emosional, serta peran teman sebaya dalam memberikan dukungan sosial dan contoh perilaku online yang positif, berkontribusi pada respons yang lebih adaptif terhadap cyberviolance. Temuan ini menunjukkan bahwa orang tua memiliki peran penting dalam memberikan panduan, mengajarkan etika digital, dan menciptakan lingkungan komunikasi yang terbuka. Di sisi lain, teman sebaya memiliki dampak besar dalam memberikan dukungan emosional, saran praktis, dan rasa keterhubungan dalam menghadapi tantangan online. Implikasi dari penelitian ini adalah perlunya pendekatan kolaboratif antara orang tua, teman sebaya, dan edukasi etika digital untuk menciptakan lingkungan online yang aman dan mendukung perkembangan positif individu muda di era digital saat ini
Dukungan Sosial Guru dan Prokrastinasi Akademik Siswi di SMP Putri X
Authors: Handayani Sri Wiworo Retno Indah , Handayani Retno Sri
Published: October 2023

Saat ini sekolah telah melakukan peningkatan standard mutu sekolah, sesuai dengan standard Sistem Pendidikan Nasional namun masih terjadi prokrastinasi akademik terutama di bidang studi mengarang, prakarya, seni dan matematika. Hal ini biasanya terjadi pada separuh dari total keseluruhan jumlah siswi yang mengikuti bidang studi tersebut. Penelitian bertujuan mengetahui hubungan dukungan sosial guru dengan prokrastinasi akademik siswi di SMP Putri X. Metodologi yang digunakan kuantitatif dengan subjek sebanyak 72 siswi SMP Putri X yang diambil menggunakan metode random sampling. Hasil penelitian menunjukkan ada hubungan signifikan antara dukungan sosial guru dengan prokrastinasi akademik siswi di SMP Putri X. Data dikumpulkan dengan menggunakan skala prokrastinasi akademik dan skala dukungan sosial guru. Selanjutnya analisa data dilakukan dengan menggunakan teknik analisis korelasi. Berdasarkan hasil analisa data diperoleh nilai koefisien korelasi -0,807 (p < 0,000), artinya ada hubungan signifikan antara dukungan sosial guru dan prokrastinasi akademik siswi di SMP Putri X.
PENGARUH JENIS ELEKTRODA E6013 PADA PENGELASAN SMAW TERHADAP SIFAT FISIK DAN MEKANIS BAJA KONTRUKSI JIS G3350
Authors: Ilahi Wahyu Nur , Mas’ud Mochamad , Huda Miftachul
Published: October 2023

Pembangunan konstruksi dengan logam pada masa sekarang ini banyak melibatkan unsur pengelasan Pengelasan yang di gunakan dari Jenis dari las busur elektroda terbungkus salah satunya adalah las SMAW (Shielding Metal Arc Welding). Pengelasan ini menggunakan elektroda E6013 atau RD-260 dengan diameter 2,6 mm, maka arus yang digunakan berkisar antara 115-165 Amper. Penentuan besar arus dalam pengelasan ini mengambil 80 A, 90 A dan 100 A. Pengambilan 100 A dimaksudkan sebagai pembanding dengan interval arus diatas. Mekanisme penelitian disusun untuk menentukan langka-langka percobaan agar diperoleh data-data yang tepat, sesuai dengan karakteristik dan tujuan penelitian mekanisme percobaan yang dipersiapkan 9 spesimen benda uji baja Jis G3350 yang akan dilakukan sambungan las dan di teruskan uji kekuatan tarik dan mikrostruktur. Data dari hasil eksperimen pada baja Jis G3350 Uji Impact yang terbesar pada percobaan 5 dengan arus 90A yaitu harga impact 2,417 joule/mm2 dengan besar energi 72.499 joule, kemudian percobaan 1,2,3 dengan arus 80A harga impak 2,343 joule/mm2 dengan besar energi 70,301 joule. Harga impak 2,324 joule/mm2 dengan besar energi 69,714 joule pada percobaan 6 dengan arus 90A, selanjutnya percobaan 7 menghasilkan harga impak 2,301 joule/mm2 dengan besar energi 69,030 joule dengan arus 100A. Percobaan 4 dengan arus 90A harga impak yang terjadi sebesar 2,277 joule/mm2 dengan besar energi 68,298 joule, pada percobaan 9 besarnya harga impak 2,132 joule/mm2 dengan besar energi sebesar 63,950 joule dengan arus 100A. Percobaan 8 harga impak 2,062 joule/mm2 besar energi yang terjadi 61,849 joule dengan besar arus 100A. hasil dari percobaan yang dilakukan pada uji struktur mikro pada percobaan arus 80 A menunjukkan jumlah butir 1.784 dengan besaran 4,8 μm.
The feeling of “not learning”. The importance of supporting the school Well-Being of young students with SLD
Authors: Della Corte Giuseppina , Di Gennaro Maria Grazia , Cerroni Francesco , Carotenuto Marco , Albano Paola Alessandra
Published: October 2023

School is a central life experience in the developmental age. Specific Learning Disorders can make the school process more difficult and strenuous, generating considerable emotional complications that involve the student’s own image, his way of “perceiving” school events, as well as learning and study motivation. Emotional distress secondary to SLDs is an aspect that is frequently underestimated but must instead be examined with great caution because it has important implications for health and psychosocial functioning. In the context of treating individuals with SLD, neuropsychomotor therapy represents an important therapeutic means to support the acquisition of the skills and competencies needed to cope more effectively with both the challenge of learning at school and the related emotional and motivational distress.
Utilization of Encoding, Early Stopping, Hyper Parameter Tuning, and Machine Learning Models for Bank Fraud Detection
Authors: Islam Md Aminul , Chowdhury Saumik , Nag Anindya , Mumtaj Nahi
Published: October 2023

Abstract—An effective fraud detection system must protect millions of clients for a secure banking system, which can be achieved using machine learning and AI. In this article, we have applied four supervised machine learning models: k-nearest neighbors (KNN), random forest (RF), decision tree, and logistic regression (LR) algorithm to detect bank fraud for a synthetic dataset having 1,00,000 rows and 32 columns. Adequate preprocessing, decoding, rigorous feature engineering, validation, performance evaluation, and explanation have allowed the readers to understand the whole study. Though the algorithms' accuracy is similar, logistic regression shows a higher accuracy of 0.98921 for label encoding, which is not prescribed. Still, a significant AUC of 95% has been achieved in XGBoost and LGBM. Further application of this study can be done in real-life cases of banks, insurance, and finance institutions.
Patterning infrastructure development for advanced EUV lithography
Authors: Ronse Kurt
Published: October 2023

This article describes all the steps that need to be taken to develop a high volume manufacturing process for advanced EUV scanners. It covers EUV masks, EUV pellicles, EUV wafer materials such as EUV resists, underlayers,... Also the metrology needs are covered.
Metascintillator pulse shape analysis for optimizing energy and timing measurements
Authors: Konstantinou Georgios , Latella Riccardo , LECOQ Paul
Published: October 2023

The working principle of metascintillators is based on sharing the energy of an impinging gamma ray between their composing materials. Such can be a dense crystal such as LYSO or BGO to maximize the gamma stopping potential and a fast organic or inorganic compound such as BC-422, EJ232 or BaF2 for its light production kinetics. In this work we look into the details of metascintillator pulses as modelled through a double bi-exponential model. We analyze the extent of energy sharing, as understood through analysis, simulation and experiment in a coincidence timing resolution (CTR) measurement setup, using 3x3x15 mm3 metascintillators, against a reference detector. Features of individual pulses allow choosing the photoelectric interactions and provide insight on the energy sharing extent of each gamma interaction. We evaluate the quality of energy sharing surrogates for different metascintillator designs. Different populations of photoelectric interactions depending on the extent of energy sharing are defined, that have different contribution of fast photons in the first picoseconds and hence different timing. We benchmark this selection through using these features to apply a timewalk correction on an event-to-event basis. A significant improvement is demonstrated in all cases, while for a 3:1 volume ratio BGO:EJ232 metascintillator this improvement rises up to ~25% for the whole photopeak (204.7 ps), while the 10% events with higher production in the fast emitter show a ~50% improvement to 54.7 ps. This shows that while metascintillators with comparable light yield components still provide the best alternative, it is possible through simple pulse analysis to measure and isolate the photoelectric interactions in every metascintillator with two components
Multi-layered Deep Learning Perceptron Based Model for Predicting Drug Price Changes
Authors: Ragb Hussin
Published: October 2023

Product pricing is a critical task that has a profound impact on demand and the target audience. Setting the price of an existing product is even more challenging, as it can significantly affect business growth, customer purchasing patterns, and brand perception. In this paper, we propose an approach that leverages a deep learning Multi-layer Perceptron (MLP) Neural Network to predict changes in drug prices. Our model differs from existing approaches as it focuses on utilizing the stated reasons for price changes rather than product or market attributes for price change prediction. The MLP-based model is designed to learn complex patterns and dependencies within the drug price data, providing a data-driven solution for accurate forecasting. The text field containing the reason for the price change is pre-processed and then fed into the MLP neural network. We employ a Continuous Bag of Words approach to convert the text into a numerical format for model development. The model is trained on a diverse dataset, and its performance is evaluated using various metrics, including Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), which indicate the model's predictive accuracy. The results demonstrate that the MLP-based model excels in predicting fluctuations in drug prices, showcasing its ability to adapt to the dynamic nature of the pharmaceutical market.
Power Optimization in Satellite Communication Using Multi-Intelligent Reflecting Surfaces
Authors: Khalil Muhammad
Published: October 2023

This study introduces two innovative methodologies aimed at augmenting energy efficiency in satellite-to-ground communication systems through the integration of multiple Reflective Intelligent Surfaces (RISs). The primary objective of these methodologies is to optimize overall energy efficiency under two distinct scenarios. In the first scenario, denoted as Ideal Environment (IE), we enhance energy efficiency by decomposing the problem into two sub-optimal tasks. The initial task concentrates on maximizing power reception by precisely adjusting the phase shift of each RIS element, followed by the implementation of Selective Diversity to identify the RIS element delivering maximal power. The second task entails minimizing power consumption, formulated as a binary linear programming problem, and addressed using the Binary Particle Swarm Optimization (BPSO) technique. The IE scenario presupposes an environment where signals propagate without any path loss, serving as a foundational benchmark for theoretical evaluations that elucidate the systems optimal capabilities. Conversely, the second scenario, termed Non-Ideal Environment (NIE), is designed for situations where signal transmission is subject to path loss. Within this framework, the Adam algorithm is utilized to optimize energy efficiency. This non ideal setting provides a pragmatic assessment of the systems capabilities under conventional operational conditions. Both scenarios emphasize the potential energy savings achievable by the satellite RIS system. Empirical simulations further corroborate the robustness and effectiveness of our approach, highlighting its potential to enhance energy efficiency in satellite-to-ground communication systems.
Federated Clustered Multi-Domain Learning for Health Monitoring
Authors: Jiang Shiyi , Yuan Li , Firouzi Farshad , Chakrabarty Krishnendu
Published: October 2023

Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection and precise analysis toward fast, resource-abundant, and personalized patient care. However, conventional machine learning workflow requires data to be transferred to the remote cloud server, which leads to significant privacy concerns. To tackle this problem, researchers have proposed federated learning, where end-point users collaboratively learn a shared model without sharing local data. However, data heterogeneity, i.e., variations in data distributions within a client (intra-client) or across clients (inter-client), degrades the performance of federated learning. Existing state-of-the-art methods mainly consider inter-client data heterogeneity, whereas intra-client variations have not received much attention. To address intra-client variations in federated learning, we propose a federated clustered multi-domain learning algorithm based on ClusterGAN, multi-domain learning, and graph neural networks. We applied the proposed algorithm to a case study on stress-level prediction, and our proposed algorithm outperforms two state-of-the-art methods by 4.4% in accuracy and 0.06 in the F1 score. In addition, we demonstrate the effectiveness of the proposed algorithm by investigating variants of its different modules.
Steady Oscillation of the Synchronous Reference Frame Phase-Locked Loop Under Unbalanced Conditions
Authors: Ponomarev Anton , Hagenmeyer Veit , Gröll Lutz
Published: October 2023

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

Abstract

The synchronous reference frame phase-locked loop (SRF-PLL), also called dqPLL, is known to generate an oscillating phase error containing even harmonics of the main frequency when it operates in an unbalanced three-phase grid. In the existing literature, the steady oscillation has been analyzed via linearization assuming a low level of unbalance. Aiming for stronger theoretical statements, we present a nonlinear approach. Instead of local small-angle results, the approach shows that the oscillation is unique and attractive in a larger neighborhood around zero. The oscillation is localized via the phase portrait analysis using a “worst-case dynamics” idea. The domain of attraction is established through the concept of incremental stability and geometric considerations. The oscillation is further approximated to the second power of the unbalance factor, revealing parts of its spectral content up to the fourth harmonic. The analysis technique is constructive: it yields an estimation for the steady oscillation and its domain of attraction while allowing a fairly high level of unbalance, e.g., around 30% in terms of IEEE’s real unbalance factor in the provided numerical example.
Hubungan Tingkat Pengetahuan, Dukungan Keluarga, dan Peran Petugas Kesehatan Terhadap Kepatuhan Minum Obat pada Lansia Penderita Hipertensi di Puskesmas Kintamani V
Authors: Sasih Ni Luh , I Gusti Ayu Agung Septiari  , Ni Putu Wintariani  , I Putu Riska  Ardinata
Published: October 2023

Hypertension or better known as high blood pressure is often experienced by the elderly where blood pressure is above the normal limit of 120/80 mmHg. Adherence to taking medication in the elderly is very important because regular use of blood pressure medication can keep blood pressure under control and controlled. This study will be carried out at Kintamani V Health Center, because it is the highest hypertension sufferer after Bangli Health Center. This study aims to examine the relationship between the level of knowledge, family support, and the role of health workers on medication adherence in elderly people with hypertension at Kintamani V Health Center. The research method used is a type of quantitative research using a cross-sectional design. Data were collected using questionnaires.

            The results showed that the majority of respondents had a high level of knowledge (68.3%),  as 51.7% of respondents received good family support, and the majority of respondents had the role of health workers as many as 73.3% of respondents. Statistical analysis showed that there was a significant relationship between the level of knowledge (p-value = 0.000), family support (p-value = 0.000) and the role of health workers (p-value = 0.000) with medication adherence in elderly people with hypertension. In conclusion, this study shows that there is a significant relationship between the level of knowledge, family support, and the role of health workers on medication adherence in elderly people with hypertension at Kintamani V Health Center.
Esôfago de Barret: Diagnóstico e Manejo
Authors: Poloniato Luiz Felipe Castro Vaz , Oliveira Gabriel Gonçalves Rezende , França Hiago Vinícius de , Cunha Renan Rodrigues de Oliveira , Pereira Gabriel de Oliveira , Fernandes Fernanda Furtado , Ferreira Neto Pedro Paulo Martins , Abdala Guilherme Fontes de Sousa Skaf , De Paula Isadora Garcia , Mendanha Vinícius Coutinho , Sintra Heitor Carvalho , Da Luz Davi Mamede , Gonçalves Eduarda Arantes
Published: October 2023

O refluxo gastroesofágico (DRGE) é uma condição na qual o conteúdo ácido do estômago reflui para o esôfago, causando sintomas como azia, regurgitação e dor no peito. O diagnóstico do DRGE é baseado na avaliação clínica e pode envolver testes de monitoramento do pH esofágico. O tratamento do DRGE é multifacetado e inclui intervenções medicamentosas e não medicamentosas. Os inibidores da bomba de prótons (IBPs) são frequentemente prescritos para reduzir a produção de ácido gástrico e aliviar os sintomas. Além disso, a modificação da dieta, a perda de peso e mudanças no estilo de vida, como elevar a cabeceira da cama e evitar refeições antes de dormir, desempenham um papel crucial na gestão do DRGE. As complicações do DRGE incluem o desenvolvimento de esofagite de Barrett, uma condição na qual o epitélio escamoso normal do esôfago é substituído por metaplasia intestinal. O Esôfago de Barrett está associado a um maior risco de câncer de esôfago, especialmente em casos de displasia de alto grau. Portanto, a detecção precoce e a vigilância regular por meio de endoscopia são essenciais para prevenir complicações graves. A mortalidade está relacionada à progressão da doença para o câncer de esôfago, particularmente em estágios avançados. Portanto, o diagnóstico precoce e a intervenção oportuna são fundamentais para reduzir a mortalidade associada ao DRGE. Uma abordagem multidisciplinar, envolvendo profissionais de saúde como gastroenterologistas, cirurgiões e outros especialistas, é necessária para fornecer um cuidado abrangente e personalizado aos pacientes com DRGE. O tratamento adequado do DRGE visa aliviar os sintomas, prevenir complicações graves e melhorar a qualidade de vida dos pacientes afetados por essa condição gastrointestinal comum.
ФЕНОМЕНОЛОГИЯ ДЕТСТВА В ПОЭМЕ М.Ю. ЛЕРМОНТОВА «МЦЫРИ»
Authors: Ахмадова Т.Х. , Абубакарова Т.В.
Published: October 2023

В статье рассматривается проблематика детства в романтической поэме М.Ю. Лермонтова «Мцыри». Автор соотносит детство главного героя и детство писателя, выделяет их особенности и проводит параллели. При этом автор обращается к методам психолингвистики, где язык и мышление неразрывно связаны. Согласно ей, приводя примеры трудов исследователей, автор стремится доказать воздействие психики, мыслей писателя на его творчество. Также в статье дается описание детства главного героя с целью показать, как оно сильно влияет на формирование характера и свободолюбивого духа Мцыри. Детство писателя ассоциируется с тоской, одиночеством, недопониманием со стороны общества. Повествование о детстве Мцыри, его тоска по Родине и родным являются воплощением в тексте личностных переживаний автора. Существует связь между художественными текстами и чертами личности поэта. В произведениях М.Ю. Лермонтова, являющихся отражением самого автора, наблюдаем развитие и становление главного героя с самого детства. «Мцыри» – поэма одного героя и одного сознания. В ней герой и автор внутренне близки, почти неотделимы друг от друга. Это исповедь и автора, и героя. В итоге, ознакомившись с личностью писателя, с его детством, можно понять причину частого присутствия проблемы одиночества в творчестве Лермонтова.
ОСОБЕННОСТИ РАЗВИТИЯ СЕВЕРОКАВКАЗСКОЙ ЛИТЕРАТУРЫ: ВОЕННАЯ ПУБЛИЦИСТИКА А.А. СУЮНЧЕВА
Authors: Демина Л.И.
Published: October 2023

В статье исследуется развитие северокавказских литератур, которое обусловлено единым литературным процессом, о чем убедительно сказано в научных работах Л. Бекизовой, Л. Егоровой, А. Караевой, А. Хакуашева, Х. Хапсирокова, Р. Чахкиевой и мн. др. Северокавказские литературы в своем развитии прошли сложные исторические этапы, но каждая из них сохранила свою идентичность и уникальность благодаря национальным писателям и поэтам. Публицистика стала для многих основополагающим жанром, поскольку для неё характерны такие качества, как оперативность, документальность, лаконичность, актуальность. В трудные переломные годы истории публицисты были на переднем краю борьбы. Так было и в Великую Отечественную войну. В качестве фронтовых корреспондентов, создававших военную публицистику, стали в А. Твардовский, К. Симонов, В. Гроссман, И. Эренбург и др., в послевоенное время к ней обратятся и северокавказские писатели Э. Капиев, С. Бритаев, Г. Джатиев, Д. Туаев, К. Кулиев, А. Кешоков, А. Суюнчев и др. Одним из известных писателей Северного Кавказа является А.А. Суюнчев, который воплотил в своем творчестве судьбу карачаевского народа и сохранил в публицистике память о Великой Отечественной войне, участником которой он был. Его военная публицистика соединяет в себе глубинный патриотизм, традиции национального фольклора, литературы и культуры, сохраняя при этом оперативность и фактичность. Писатель в своих произведениях воссоздал героику карачаевского народа в портретах и подвигах, что является частью истории северокавказской литературы.
О НЕКОТОРЫХ СИМВОЛИЧЕСКИХ ОБРАЗАХ В ПРОИЗВЕДЕНИЯХ А.С. ПУШКИНА
Authors: Садулаева М.Х. , Сайкаева Л.А.
Published: October 2023

В статье рассматриваются несколько произведений Пушкина, в которых мы сталкиваемся с примерами его символического мышления. Как известно, символы не поддаются однозначной расшифровке, и тексты, в которых они встречаются, представляют неиссякаемый интерес как для читателей, так и для исследователей. В романтической поэме «Бахчисарайский фонтан» автор обратил внимание читателей на совмещение атрибутики двух разных вероисповеданий. Одним из объяснений стала версия о том, что поэт намекнул на невежество князя Г.А. Потемкина-Таврического, по вине которого была допущена такая оплошность во время ремонта во дворце. Далее речь идет о недописанной строке пушкинского стихотворения «Кто, волны, вас остановил», в нем открыта возможность для догадок и сомнений в отношении используемого автором символа. Заканчивается статья описанием пушкинской символики верности как высокого нравственного понятия. Известно, что пушкинские контексты говорят о верности в любви, дружбе, в выполнении воинского долга, в подданстве. В сознании людей семантика символа может интерпретироваться различным образом, но когда это происходит правильно, сохраняются смысл и логичность текста в течение всего его толкования, с самого начала и до конца. Используя символы, Пушкин открывал своему читателю самые сокровенные «закоулки» своего сознания.
Н.А. НЕКРАСОВ И В.Г. БЕЛИНСКИЙ: СХОДСТВО И РАЗЛИЧИЕ В ОЦЕНКАХ ЛИТЕРАТУРНОГО ПРОИЗВЕДЕНИЯ
Authors: Темаева Х.Н.
Published: October 2023

Сейчас, спустя двести лет, настало время отдать себе отчет, что же представляет собой русская литература эпохи В.Г. Белинского, насколько актуальны его тезисы касательно русской литературы, какова его роль в развитии литературной критики, чем он ценен и важен теперь, что может почерпнуть в нем наш современный человек – читатель, любитель русской литературы. В данной статье отражены размышления Н.А. Некрасова и В.Г. Белинского о литературе, показано их сходство и различие в оценках литературного произведения. В своих критических статьях, рецензиях Некрасов и Белинский ставили и решали самые волнующие, наболевшие вопросы современности. Этим они сообщали литературной критике небывалое доселе общественное, народное значение. Белинский своей литературно-критической деятельностью блистательно доказал, что, хотя «истинная критика» и возникает позднее «истинной литературы», по своему значению, по своему воздействию на сознание людей, общества она должна и может занимать свое особое, самостоятельное, ей одной присущее и значительнейшее место. В данном исследовании раскрыт взгляд В.Г. Белинского и Н.А. Некрасова на русскую литературу и их роль в развитии русской литературной критики.
СЛОВАРЬ ПОЭТИЧЕСКОГО ЯЗЫКА Л.Ш. АБДУЛАЕВА (С ПРИЛОЖЕНИЕМ МАЛОИЗВЕСТНЫХ ЕГО СТИХОТВОРЕНИЙ)
Authors: Халикова М.Х. , Халикова А.Х.
Published: October 2023

Творческое наследие народного писателя Чеченской Республики Лечи Абдулаева очень богато и разнообразно. Его поэзия имеет ряд отличительных особенностей. Она многогранна и наполнена глубоким поэтическим смыслом. В разные годы в своих исследованиях к его творчеству обращались такие литературоведы и мастера слова Н. Альбеков, А. Арсанукаев, М. Ахмадов, З. Алиева и др. Тем не менее большая часть его произведений до сих пор не исследована. Кроме того, практически все работы, посвященные его творчеству, носят литературоведческий характер, а словарь поэзии поэта и вовсе остается неизученным. На наш взгляд, исследование словаря поэтического языка Лечи Абдулаева имеет актуальность и представляется важным объектом для научного исследования. В данной статье сделан небольшой анализ словаря поэтического языка Л. Абдулаева. В его поэтических произведениях проводится огромная словарная работа, благодаря которой вводятся в обиход устаревшие слова и словосочетания чеченского языка, новые слова и понятия, дается определенная поэтическая окраска. Работа по исследованию словаря Л. Абдулаева будет продолжена и в последующих исследованиях авторов данной статьи.