bluuebunny/crossref_metadata_2025 huggingface dataset:
Shipping inspection trial of quantum machine learning toward sustainable quantum factory
Authors: Tomono Takao , Natsubori Satoko
Published: November 2023

In recent years, the diversification of consumer values has led to an increase in the number of small-quantity, high-mix products. For many manufacturing companies, shipping inspections of such products are of great importance. As all products have the same value, good and defective products need to be efficiently identified. Now, a promising future application of quantum technology is considered to be quantum machine learning. We believe that the quantum classifier for SVMs using quantum kernels is one of the areas where quantum advantages can be demonstrated. At present, there are few examples of quantum classifiers applied to real problems in manufacturing processes. In this study, we aim to build a classifier that can demonstrate the quantum advantage and compare SVMs using classical and quantum kernels with conventional ResNet. Initially, a binarised image was generated after image pre-processing. After principal component analysis and dimensionality reduction were performed on the images, SVM with kernels was carried out. The kernel-based SVMs was then compared with the conventionally implemented Residual neural network (ResNet) using an evaluation index: F1-score. The results showed that the F1-score of SVMs using classical kernels was equivalent to that of Resnet. In addition, SVMs using quantum kernels showed higher F1-score than ResNet. In addition, the impact of the feature map and principal components of the quantum kernel was also investigated. It was found that when the feature map became more complex, conversely, circuit generation took more time. It was also found that the principal components are highly relevant to the image and cannot lead to simple results. In the future, we plan to accumulate more experimental data, look for scenes where quantum machine learning can be used and apply it to the manufacturing field.
Bayesian-based Component Lifetime Prediction Model Using Workshop and Telematics Data
Authors: Park Seungyoung , Lee Jihyun
Published: November 2023

This paper presents a Bayesian approach to predicting brake pad and battery life based on field service data from a fleet management system(FMS). The data includes vehicle driving data collected via telematics and maintenance record data managed by the workshop. The proposed approach consists of three modules: component health diagnosis, workshop data analysis and driving pattern analysis. The health diagnosis module detects domain-based transformed feature, from the driving data, changes using KL divergence. The maintenance record data from workshop analysis module estimates the prior probability of maintenance cycles. The censored nature of workshop data is validated by updating the posterior probability using driving patterns from driving data. The driving pattern analysis module classifies driving patterns for lifetime prediction. This study develops a predictive maintenance model for brakes and batteries without additional sensors using the data required for fleet operation. The mileagebased cycle maintenance approach commonly used for fleet management is improved by this model. Future FMS systems are expected to make extensive use of this concept.
Sequential Domain Adaptation for Fault Diagnosis in Rotating Machinery
Authors: Kim Yong Chae , Ko Jin Uk , Lee Jinwook , Kim Taehun , Jung Joon Ha , Youn Byeng D.
Published: November 2023

Fault diagnosis of the machinery system is essential to minimize the damage to the industrial field. Recently, with the development of computer and IoT technology, deep learning-based fault diagnosis has been widely researched. However, due to the domain shift, which changes the distribution of data under different operating conditions of the machinery system, the performance of the deep learning-based fault diagnosis algorithm decreases. This paper proposes a sequential domain adaptation to alleviate different distributions between different operating conditions. The proposed method has been validated in open-source datasets and shows a high performance compared to the other models.
Development of an Amine Antioxidant Depletion Diagnosis Method Using Colorimetric Analysis of Membrane Patches
Authors: Honda Tomomi , Hamano Daisuke
Published: November 2023

Lubricating oils degrade by various factors under operation. Degradation causes of lubricating oils are roughly classified into two types, one is caused by solid particles and the other by oil oxidation products. Amine antioxidants are generally added in turbine oils to prevent formation of sludge. Degradation of base oil progresses rapidly, when antioxidant is used up. Thus, an on-site degradation diagnosis method of antioxidant is significant to maintain fluid property of lubricating oil. There are several methods such as a chromatography and ASTM D2272 in order to measure the residual ratio of antioxidant, but these methods cannot be used as an on-site degradation diagnosis method and need the particular experience and long time. On the other hand, ASTM D6810 can measure it in a short time. In our laboratory, we have reported that there is a good relationship between the degradation of lubricating oil and color of the membrane patch. Furthermore, we have developed degradation diagnosis method of the lubricating oils focusing on the coloration of the membrane patches with contamination. In this study, we investigated relations between oxidized products of amine antioxidant captured with membrane filter and color of membrane patch and we discussed the possibility of new depletion diagnosis method of amine antioxidants.
Multi-periodicity and Multi-scale Network for Motor Fault Diagnosis
Authors: Xia Pengcheng , Zhang Kaiwen , Huang Yixiang , Liu Chengliang
Published: November 2023

Intelligent fault diagnosis of motor is of tremendous significance to ensuring reliable industrial production, and deep learning methods have gained notable achievements recently. Most researches automatically extracted fault information from raw monitoring signals with deep models, whereas the strong periodic temporal information containing in the signals were ignored. To tackle this limitation, a multi-periodicity and multi-scale network is proposed in this paper. 1D monitoring signals are transformed into 2D space with multiple various periods, allowing for the straightforward reflection and modeling of variations both within and between different periods. Multi-scale learning is introduced to extract temporal information from the multi-periodicity representations with multiple scales in a parameter-efficient way. Experiments carried out on a motor fault dataset verified the effectiveness of the proposed method. The results demonstrate that over 99% diagnosis accuracy can be achieved with onechannel vibration signals, and superior performance is obtained under diverse noise conditions compared with other methods.
study on self-diagnosis/prediction technology for LIDAR sensor of autonomous vehicles
Authors: Lee Jaewook , Lee Jongsoo
Published: November 2023

Along with the development of autonomous driving technology, the need for self-failure diagnosis and Remaining Useful Life (RUL) prediction technology for core parts for autonomous driving is increasing. In particular, the characteristics of the light detection and ranging (LIDAR) sensor exposed to the outside further increase the need to apply fault diagnosis and RUL prediction technology considering various environmental variables. In this study, based on the accelerated degradation test of LIDAR, the failure mode was analyzed. Through this, LIDAR failure due to thermal runaway, which is the first failure type in high temperature conditions, was identified, and whether there were major environmental data that could identify thermal runaway was identified. In the case of LIDAR's thermal runaway phenomenon, a study on an algorithm to identify the precursor symptoms of failure in an accidental failure situation is conducted. Afterwards, through the actual vehicle test process, various environmental variable information is analyzed for correlation with LIDAR internal sensor data, and the abnormal data for the temperature of the internal parts of the LIDAR is predicted through the external environmental sensor.
Anomaly detection for yield improvement in glass production
Authors: Yonemori Haruo , Arai Kenichi , Yamamichi Hironobu , Sakata Ichiro , Imamura Makoto
Published: November 2023

Predictive maintenance using manufacturing sensor data has attracted attention for reducing defects and selecting appropriate actions. This paper proposes an anomaly detection method using lasso regression and group-wise variable selection based on FTA (Fault Tree Analysis) domain knowledge. We evaluated our approach using real factory data and found that its precision and false positive rate are 66% and 30%, respectively. Moreover, we validate that the visualization of the contribution rate for anomaly detection is helpful for factory maintenance.
Architecting a Digital Twin-Based Predictive Maintenance System for Modelling Cable Joint Degradation
Authors: Van Dinter Raymon , Ekmekci Görkem , Rieken Sander , Tekinerdogan Bedir , Catal Cagatay
Published: November 2023

The large scale adoption of wind turbines and solar panels in the Netherlands places new demands on the medium voltage power grid. For example, highly varying loads can cause failures in certain cables. Cable joints are natural weak spots prone to faults due to varying currents, creating downtime challenges for public utility companies. Predictive maintenance (PdM) practices are necessary to minimize downtime for users. We present a Model-Based System Engineering approach using formal models and UML views to provide a scalable PdM design ontology for modeling cable joint degradation. We aim to monitor cable joint degradation from different manufacturers under varying conditions throughout the Netherlands in real-time using a Digital Twin (DT) approach. Our design provides high-resolution, real-time synchronization between the DT-based PdM system and the cable joints. The proposed architecture is scalable, robust, and flexible, and the software implementation is publicly available in an open-source repository.
Elastic Wave Field Neural Networks for Structural Health Monitoring: An Analytical and Numerical Study of Multiple Neurons
Authors: Masuda Arata , Takashima Konosuke
Published: November 2023

The purpose of this study is to develop a novel concept of smart structural systems recognizing their own structural integrity by an embodied high density sensor network. In our concept, a number of sensor nodes are embedded in the host structure, each of which reacts point-wise to the structural vibration with a simple rule. This allows the whole nodes to be mutually coupled through the elastic field, forming a neural network that incorporates the dynamic characteristics of the host structure as the coupling weights. In the previous study, we presented that a single-neuron network as its minimum configuration can exhibit a bifurcation of its dynamics behavior, which can be used to detect the change of the network due to damages. In this study, the formulation of networks with multiple neurons deployed in a structure with single-mode approximation is presented particularly focusing on the bi- furcation analysis to reveal how the behavior of the network is drastically altered depending of the network and structural parameters. Numerical analysis is conducted to examine the validity of the bifurcation analysis.
Deep Learning-Enabled Statistical Model Estimation for Power Transformers with Censoring and Truncation Problems
Authors: Cheng Jiaxiang , Cho Sungin , Tan Yap Peng , Hu Guoqiang
Published: November 2023

Traditional statistical models, e.g., Weibull distributions, are popular solutions for failure modeling and degradation anal- ysis in a variety of industries. To estimate the parameters of these statistical models, maximum likelihood estimation (MLE) is often engaged through various optimization algo- rithms. However, when dealing with highly reliable or new equipment, it is challenging to fit limited or unbalanced data to obtain an accurate model. In this paper, we propose a deep learning (DL)-based model for estimating the Weibull param- eters with both censoring and truncation problems. Instead of using the conventional matrices such as concordance index, we propose a novel validation framework to examine the pre- diction accuracy of different models. We examine the perfor- mance of the proposed approach on real-world power trans- former data, and the results show that our approach can im- prove prediction accuracy and is less susceptible to the trun- cation problem. Our results also suggest that deep learning techniques can help enhance traditional statistical modeling for reliability analysis.
Predictive Maintenance for station equipment and Applications for the Space field
Authors: Yokoyama Ryoma , Kono Ryosuke , Matsuda Atsushi , Shiomi Yohei
Published: November 2023

Our company have a lot of stations fare equipment such asticket gate machine. Maintenance and inspection of theserequire a lot of labor and cost. In this paper, we aimed to solvethis problem by applying failure detection a form of machinelearning. Currently, the system has been installed in all of ourstation equipment, and has reduced the number of failures by20% and inspections by 30%, helping to optimize ouroperations. In the future, we plan to apply this method andour knowledge of maintenance and operation to evaluate thehealth and management of satellites in the space field.
AVIATAR – Optimizing airline flight operations with Predictive Health Analytics and building on digital platform technology
Authors: Witzig Mia
Published: November 2023

AVIATAR uses data from aircraft systems, airline operations, aircraft, maintenance systems and other external sources. Subsequently, it turns that data into actionable insights that empower airline technical operations teams to optimize maintenance and to reduce unscheduled interruptions. AVIATAR includes different modules that can be combined to address different operational needs and requirements.
System-Level Simulation of 120 kW Interior Permanent Magnet Synchronous Motor Drive for Electric Vehicle Usage Under Various Types of Faults for Fault Diagnosis
Authors: Kwon Woyeong , Oh Jaewook , Hwang Inhyeok , Kim Namsu
Published: November 2023

Owing to the recent trend toward the zero-carbon emission, drive motors are gaining attention for substitute for internal combustion engine. Among them, interior permanent magnet synchronous motor(IPMSM) is being extensively used for their high-power density. Consequently, verification of safety and reliability for IPMSM is becoming an important subject. In this study, system-level simulation for IPMSM drive system under various failure modes were carried out. Fault characteristics were extracted from the phase current profile and classified by the support vector machine. It is shown that with the proposed model, faults can be detected with less cost and time-consumption.
Digital Twin for Diagnosis of Belt Looseness in HVAC Systems using multi-body dynamics simulation
Authors: Lim Daeguen , Jung Wonho , Yun Sung Hyun , Park Yong Hwa , Lee Gil-Yong
Published: November 2023

Most heating, ventilation, and air conditioning (HVAC) systems operate using a belt pulley system that provides high efficiency at a low cost. To monitor the health of the HVAC system, it is essential to detect looseness, which is one of the primary failure modes of belt-pulley systems. The main feature used to identify looseness is belt slip, which can be computed using the ratio of angular velocity and diameter between the drive pulley and driven pulley. However, accurately diagnosing the condition of the HVAC system based on the slip distribution calculated by measuring the rotational speed can be based on empirical criteria. To overcome this problem, this paper proposes constructing a digital twin model for accurate diagnosis of belt loosening in HVAC systems. The proposed approach involves performing multi-body dynamics (MBD) based time-domain analysis considering uncertainty. To validate the proposed model, belt looseness is applied to the HVAC system, and the slip distribution is calculated and compared with the results computed by the digital twin model. Through this comparison, it was demonstrated that the proposed model can be utilized to diagnose belt looseness in the HVAC system.
Operational Prognostic Model Evaluation
Authors: Prakash Shashvat , Vuckovic Katarina , Amin Sanket
Published: November 2023

Prognostic analytic models have become a viable way to reduce operational interruptions when sufficient timely data is available. This work describes a set of evaluation metrics which can characterize model performance as a degradation estimate and as a decision enabler. The model accuracy over time is assessed against a correlation with the remaining useful life. This yields both a prediction accuracy and confidence interval. The decision can be based on the level of confidence around the prediction, which is based on both how far into the future the event is predicted and how well the current health and its deterioration is estimated. With an effective means of evaluating prognostic models, better benchmarks can be established to communicate model effectiveness and appropriately schedule routine service.
IMPLEMENTASI TEKNIS PENILAIAN SIKAP PADA MATA PELAJARAN AKIDAH AKHLAK
Authors: RAMADHANI SARAH AYU , Basyar Muslim
Published: November 2023

Tulisan ini secara umum akan membahas tentang bagaimana pengimplementasian dari sebuah teknik penilaian dalam suatau mata pelajaran dan menjawab perumusan masalah tentang bagaimana penerapan teknik penilaian sikap pada mata pelajaran Akidah Akhlak di MAN 2 Tanjungkarang. Tulisan ini adalah hasil penelitian lapangan dengan menggunakan metode penelitian kualitatif dengan salah satu guru Akidah Akhlak di MAN 2 Tanjungkarang yaitu bapak Rozak sebagai subjek penelitian dan implementasi teknik penilaian sikap yang dilakukan guru tersebut sebagai objeknya. Metode yang digunakan dalam pengumpulan data adalah dengan metode wawancara, metode observasi dan metode dokumentasi. Hasil analisis akhir dari implementasi rambu-rambu pelaksanaan penilaian kompetensi sikap melalui observasi yaitu guru Akidah Akhlak telah melaksanakan 7 dari 8 langkah penilaian sikap melalui teknik observasi dengan baik, maka, dapat disimpulkan teknik penilaian sikap observasi yang dilakukan oleh guru telah diimplementasikan dengan baik dan hasil nilai yang diperoleh siswa dari penilaian sikap dengan teknik observasi ini bisa dipertanggungjawabkan. Namun, penggunan teknik observasi ini hanya dipergunakan maksimal untuk mengobservasi beberapa aspek sikap saja yaitu aspek disiplin, santun, pro-aktif, dan percaya diri.Kata kunci; teknik penilaian sikap, penilaian Akidah Akhlak, teknik penilaian observasi.
ANALISIS KEBUTUHAN MAHASISWA BIMBINGAN KONSELING PENDIDIKAN ISLAM (BKPI) TERHADAP MATERI PEMBELAJARAN BAHASA INGGRISDI IAIMNU METRO LAMPUNG
Authors: Hayati Rina Mida , Hidayatullah Rizki Rizki , Yusuf Muhammad Muhammad , Tohir Muhyidin Muhyidin
Published: November 2023

Penelitian ini mengambil tujuan untuk menselaraskan Materi Bahasa Inggris pada dosen pengampu untuk dikembangkansehingga tepat sasaran terhadap minat mahasiswa terhadap Bahasa Inggris. Menganalisa kebutuhan mahasiswa khususnya dalam pembelajaran bahasa Inggris sehingga selaras dengan keilmuan yang sedang diambil.Perlunya memberikan Materi Bahasa Inggris yang tepat dengan bidang keilmuan program studi mahasiswa sehingga mampu meningkatkan kemampuan Bahasa Inggris mahasiswa.Penelitian ini dilaksanakan dengan menggunakan pendekatan kualitatif dimana data yang akan diambil dalam bentuk data kualitatif berupa ujaran diambil dari wawancara dan juga data kuantitatif yang berupa angka angka yang diambil dari kuesioner yang semuanya akan dianalis secara deskriptif. Hasil dari penelitian ini memberikan memberi informasi yang rinci terkait dengan persepsi mahasiswa Bimbingan Konseling Pendidikan Islam (BKPI) IAIMNU Metro dalam mengembangkan English for Specific Purposes (ESP) LearningMaterials. Luaran dari penelitian ini adalah sebuah inventori/acuan tentang persepsi mahasiswa dalam mengembangkan bahan ajar berbasis ESP sehingga mahasiswa Bimbingan Konseling Pendidikan Islam (BKPI) IAIMNU Metro.Kurikulum pengajaran bahasa Inggris di IAIMNU Metro pada program studi Bimbingan Konseling Pendidikan Islam (BKPI) disusun secara institusional, dengan kurikulum dan silabus mata kuliah tersebut ditengarai agar mencerminkan ciri khas kebutuhan program studi. Ciri khas dalam konteks pembelajaran bahasa Inggris diterapkan untuk tujuan khusus (English for Specific Purposes (ESP) yang disusun dan dikembangkan berdasarkan analisis kebutuhan (needs analysis).
LESSON STUDY FOR LEARNING COMMUNITY (LSLC)
Authors: Rini Ambar Prisetia
Published: November 2023

Lesson Study dapat dikatakan sebagai suatu model pembinaan profesi pendidik melalui kegiatan pengkajian pembelajaran yang dilakukan oleh sekelompok pendidik (guru/dosen) secara kolaboratif dan berkelanjutan untuk meningkatkan kualitas pembelajaran. Lesson study sebagai satu solusi untuk membangun learning community  antar guru/dosen, peserta didik, maupun akademisi. Penerapan learning community (LC) memberi kesempatan setiap siswa dalam menentukan dan memahami konsep atau materi yang sulit dengan cara mendiskusikan masalah tersebut dengan temannya dalam kelompok belajar. Penerapan lesson study saat ini, dikembangkan pada learning community. Secara umum, disebut LSLC (lesson study for learning community). LSLC lebih menekankan pengkajian pada bagaimana siswa belajar dan berkolaborasi dibandingkan dengan pengkajian tentang bagaimana guru/dosen mengajar dan penguasaan materi. Setiap siklus LSLC dilaksanakan dalam 3 (tiga) tahap, yaitu tahap pertama adalah Plan (merencanakan), tahap kedua adalah Do (melaksanakan), dan tahap ketiga adalah See (merefleksi). Tiga tahap tersebut (satu siklus) dilaksanakan secara berkelanjutan. Dengan kata lain LSLC merupakan suatu cara peningkatan mutu pendidikan yang tak pernah berakhir (continous improvement).
PENERAPAN METODE PEMBELAJARAN SURI TAULADAN DI ERA PANDEMI
Authors: Faj Awaluddin
Published: November 2023

Penerapan metode pembelajaran suri tauladan di era pandemi menjadi hal penting melihat kondisi dan situasi yang terjadi saat ini, penyebaran kasus COVID-19 menjadi virus yang mengkhawatirkan, terdapat kurang lebih 200 negara dari berbagai belahan dunia yang telah terjangkit virus ini.Walaupun demikian, situasi pendidikan seperti ini menjadi dilema tersendiri bagi pendidik dan para peserta didik. Di satu sisi  mereka dipaksa harus melaksanakan pembelajaran jarak jauh agar memutus mata rantai penyebaran Covid-19, namun di sisi lain timbul kebosanan karena berbagai kendala yang dihadapi, serta keinginan untuk berinteraksi secara langsung yang menjadi pemaksa untuk melaksanakan pembelajran tatap muka secara langsung. Apalagi pembelajaran tatap muka meskipun dengan protokol kesehatan ketat tetap meningkatkan risiko terpapar Covid-19.Maka dari itu, penulis meneliti untuk menganalisis Tentang Penerapan Metode Pembelajaran Suri Tauladan Di Era Pandemi, Metode yang gunakan untuk analisis dan kajian teori dari metode ini dengan kajian literatur dikaitkan dengan kondisi pendemi saat ini. Adapun teknik pengumpulan data yaitu dengan melakukan penggalian informasi dari beberapa sumber dokumen seperti buku-buku, artikel, jurnal, majalah, serta dokumen lainnya yang sesuai dengan permasalahan yang dikaji.
PENDIDIKAN KARAKTER ISLAM DI YAYASAN PANTI ASUHAN KOTA BANDAR LAMPUNG
Authors: Malviana Malviana , Luviadi Ahmad
Published: November 2023

Penerapan karakter Islam pada anak sangat berpengaruh pada adab serta tingkah lakunya pada kehidupan sehari – hari sampai kelak ia dewasa. Khususnya pada anak panti asuhan, dimana anak – anak panti yang baru  memiliki latar belakang keluarga yang berbeda, cara pengasuhan yang berbeda serta pendidikan agama yang berbeda membuat karakter anak – anak tersebut  tidak dapat dibilang baik, dan pengetahuan akan ilmu agama yang kurang sangat berpengaruh pada karakter Islam masing-masing anak.            Penelitian ini bertujuan untuk mendeskripsikan: (1) Implementasi pendidikan karakter Islam panti asuhan, (2) nilai karakter Islam yang diterapkan untuk anak panti asuhan. Penelitian ini pertama, dimaksudkan untuk mengetahui penerapan nilai-nilai karkater Islam apa saja yang dilakukan oleh panti asuhan Darul Aitam Yayasan Ir. Abdul Malik Muhammad Aliun Bandar Lampung. kedua, bentuk penerapan yang pengurus dan pengasuh lakukan dalam menerapkan nilai – nilai karakter Islam.               Penelitian ini menggunakan jenis penelitian data secara kualitatif. Subjek penelitian ini yaitu : 2 pengurus dan pengasuh, dan 31 anak panti asuhan Darul Aitam Yayasan Ir. H. Abdul Malik Muhammad Aliun Bandar Lampung. Objek penelitian ini meliputi: penerapan dan pelaksanaan pengurus dan pengasuhan yang dilakukan pengasuh dalam menanamkan nilai karakter Islam pada anak asuh di panti asuhan Darul Aitam Yayasan Ir. H. Abdul Malik Muhammad Aliun Bandar Lampung. Pengumpulan data dilakukan dengan teknik observasi, wawancara dan dokumentasi. Metode yang digunakan dalam analisis data adalah reduksi data, display data, dan penarikan kesimpulan.            Hasil penelitian ini menunjukan:(1) Penerapan penanaman nilai karakter Islam di panti asuhan Darul Aitam Yayasan Ir. Abdul Malik Muhammad Aliun Bandar Lampung yaitu pendidikan karakter Islam melalui pendekatan verbal dan nonverbal yang dilaksanakan melalui sikap dan keseharian seperti memeluk, merangkul, mengucap- kan salam dan memberi teladan.(2) Nilai karakter Islam yang diterapkan terhadap anak asuh yaitu empati, rasa hormat dan toleransi. Nilai karakter Islam tersebut diterapkan terhadap anak asuh melalui perhatian, pendekatan dan pengawasan.
Tradisi Nukhun Ajang Dalam Acara Pernikahan Masyarakat Putihdoh di Lihat Dari Perspektif Qs Al-Maidah Ayat 2
Authors: Huwaina Mashdaria , Khoironi Khoironi
Published: November 2023

Indonesia merupakan bangsa yang memiliki keanekaragaman dalam berbagai hal. Salah satunya adalah budaya yang berkembang dalam masyarakat adat sebagai kekayaan nasional. Masyarakat adat secara tradisi terus berpegang pada nilai-nilai lokal yang diyakini kebenarannya dan menjadi pegangan hidup yang diwariskan secara turun temurun. Sebagai kesatuan hidup, masyarakat adat memiliki nilai sosial-budaya yang layak dikembangkan dalam pembelajaran, seperti kesetiakawanan sosial (solidaritas) dalam melakukan aktivitas hidupnya. Selain memiliki kesetiakawanan sosial yang tinggi, masyarakat adat juga  memiliki budaya luhur lain yang berupa gotong-royong, musyawarah, dan kerukunan. Tujuan Penelitian untuk menganalisis keterkaitan antara Tradisi Nukhun Ajang dalam Acara Pernikahan Masyarakat Putihdoh di Lihat Dari Perspektif Qs Al-Maidah Ayat 2. Metode penelitian yang digunakan dalam penelitian ini adalah metode deskriptif. Hasil penelitian menunjukkan bahwa ada keterkaitan antara Q.S Al-maidah ayat 2 dengan Tradisi Nukhun Ajang yang ada di Pekon Putihdoh dimana kaitannya yaitu kita sebagai manusia dianjurkan untuk saling tolong menolong terhadap sesama manusia agar kehidupan menjadi lebih baik, terarah dan rukun.
KONSEP EVALUASI PENDIDIKAN ISLAM DALAM ALQUR’AN
Authors: Faj Awaluddin
Published: November 2023

Evaluasi merupakan suatu tugas penting dalam serangkaian proses pendidikan yang telah dilaksanakan oleh pendidik untuk mengetahui tingkat keberhasilan dan kelemahan suatu proses pendidikan Islam (dengan seluruh komponen yang terlibat di dalamnya) dalam mencapai tujuan pendidikan yang dicita-citakan, Agama Islam dengan sumber ajaran al-Qur’an yang ditafsirkan para ulama ternyata menunjukkan dengan jelas berbagai masalah dalam bidang pendidikan. Oleh karena itu ajaran Islam menetapkan bahwa pendidikan merupakan salah satu kegiatan yang wajib hukumnya baik pria maupun wanita yang berlangsung seumur hidup serta melalukan evaluasi terhadap berbagai masalah dalam bidang Pendidikan, Dalam proses evaluasi pendidikan memiliki kedudukan penting dalam pencapaian hasil yang digunakan sebagai input untuk perbaikan kegiatan pendidikan. Pesantren merupakan instrumen sistem pendidikan Indonesia yang unik, sebagai lembaga yang khusus melakukan kajian keagamaan (tafaqquh fi al-diin) pesantren tidak melepaskan diri dari evaluasi pendidikan. Penelitian ini membahas tentang konsep evaluasi Pendidikan Islam dalam Al-Qur’an di Lembaga Pesantren Modern Primago, penelitian  menggunakan metode deskriptif analisis. Teknik Pengumpulan data dilakukan dengan studi dokumentasi terhadap pengelolaan dan pengembangan evaluasi pendidikan pesantren, observasi, dan juga wawancara.  Penelitian membuktikan bahwa evaluasi merupakan salah satu bagian dari sebuah sistem pendidikan Islam yang harus dilakukan secara sistematis, berkesinambungan, dan terencana sebagai alat untuk menilai dan mengukur keberhasilan atau target yang akan dicapai dalam proses pembelajaran dan Pendidikan yang di laksanakan di pesantren Modern Primago.
MODEL EVALUASI ISIPP (IMPLEMENTASI ISI, PROSES, DAN PENILAIAN) UNTUK MADRASAH ALIYAH
Authors: Mardiana Mardiana , Putra Arizal Eka , Luviadi Ahmad
Published: November 2023

Kurikulum sebagai salah satu alat untuk mencapai tujuan pendidikan, dan hasil pembelajaran yang dicapai dapat menjadi tolak ukur keberhasilan pendidikan. Kurikulum dapat diartikan sebagai dokumen yang memuat seluruh bahan dan kegiatan yang harus dilalui oleh peserta didik dalam pembelajaran atau merupakan pedoman bagi pelaksanaan pembelajaran. Komponen-komponen kurikulum meliputi tujuan, isi, metode dan evaluasi. Seluruh komponen ini hendaklah sesuai dengan nilai-nilai sosial, budaya bangsa, dan kebutuhan  masyarakat, serta diimbangi dengan kemajuan teknologi.Oleh karena itu, penyempurnaan kurikulum diperlukan untuk memperbaiki pendidikan dimasa depan dengan harapan mutu pendidikan, tidak hanya kognitif tapi lebih ditekankan kepada sikap, perilaku dan keterampilan yang harus dimiliki oleh peserta didik yang berguna bagi dirinya, masyarakat dan lingkungannya.Kurikulum telah mengalami beberapa kali perubahan, pada tahun 1947, 1952, 1962, 1968, 1975, 1984, 1994, 1999, 2004,2006, dan 2013.Madrasah Aliyah sebagai subsistem pendidikan nasional yang dikelola oleh Kemenag harus mampu melaksanakan Standar Isi (SI) yang terdiri atas empat komponen, termasuk didalamnya penyusunan kurikulum yang berpedoman KTSP. Hasil prasurvei di Lampung,   sekilas tidak terjadi permasalahan dalam pelaksanaan pendidikan di MA,   namun dalam praktiknya banyak dijumpai permasalahan-permasalahan.Penelitian ini bertujuan untuk mengembangkan sebuah model evaluasi yang dapat digunakan oleh Kemenag Provinsi untuk mengevaluasi implementasi dari 3 standar pendidikan (Standar Isi, Proses, Dan Penilaian) di Madrasah Aliyah Metode penelitian yang digunakan Perpaduan Model Evaluasi CIPP dan DEM (Provus) Pengembangan produk Evaluasi dengan Langkah Borg&Gall  Validasi (Rater)Kesimpulan dari metode Model Evaluasi ISIPP terdiri dari tiga instrumen yang digunakan untuk mengevaluasi implementasi kurikulum terkait dengan tiga standar pendidikan di Madrasah Aliyah. Standar pendidikan yang akan di evaluasi dengan menggunakan model ISIPP adalah Standar Isi, Proses, dan Penilaian. Model evaluasi ini merupakan modifikasi dari dua medel evaluasi yang sudah ada yaitu model evaluasi CIPP dan model evaluasi DEM Provus.Keyword : Model Evaluasi ISIPP Untuk Madrasah Aliyah
METODE PENANAMAN AQIDAH KEPADA ANAK USIA SEKOLAH DASAR
Authors: Pratiwi Adelita , Luviadi Ahmad , Sholihin Muhammad
Published: November 2023

Aqidah merupakan keyakinan yang bersih dari kebimbangan serta keraguan dimana hati membenarkannya sehingga timbulah ketenangan jiwa dengan pengertian lain dari aqidah ialah keyakinan kepada Allah SWT. Pada  pembinaan akidah anak, keluarga mempunyai kewajiban dan bertanggung jawab terhadap anak-anaknya untuk memberikan ilmu pengetahuan dan agama dengan sebaik-baiknya. Bimbingan keluarga yang berupa ilmu pengetahuan itu pada gilirannya akan saling melengkapi dengan agama, yang merupakan wujud fitrah pada diri anak tanpa ada perbedaan dan pertentangan. Oleh karena itu bimbingan terhadap anak dari keluarga akan sangat mempengaruhi kepribadian anak pada masa selanjutnya. Aqidah anak usia 7 sampai 12 tahun di lingkungan RT. 013 kelurahan Kalibalau Kencana Bandar Lampung peran orang sangat berpengaruh terhadap penanaman aqidahnya dengan berbagai cara orangtua memberi penanaman aqidah sehari – hari, dimana lingkungan dan kesibukan orang tua yang berdagang, buruh, menjadi faktor utama yang menghambat orang tua dalam menanamkan aqidah anak dengan baik setiap harinya.            Tujuan penelitian adalah untuk mengetahui peran orang tua dalam menanamkan aqidah pada anak usia 7 sampai 12 tahun di lingkungan RT. 013 kelurahan Kalibalau Kencana Bandar Lampung. Penelitian ini menggunakan pendekatan penelitian data secara kualitatif. Subjek penelitian ini yaitu orang tua dari anak usia 7 sampai 12 tahun di RT. 013 kelurahan kalibalau kencana Bandar Lampung. Pengumpulan data dilakukan dengan teknik observasi, wawancara dan dokumentasi. Metode yang digunakan dalam analisis data adalah reduksi data, display data, dan penarikan kesimpulan.            Hasil penelitian ini menunjukkan bahwa peran penanaman aqidah pada anak usia 7 sampai 12 Tahun di lingkungan RT. 013 Kelurahan Kalibalau Kencana dilakukan melalui beberapa cara yaitu dengan, 1) Penanaman Kalimat Tauhid dan Kecintaan kepada Allah, 2) Penanaman Kecintaan Kepada Rasul, dan dengan 3) Mengajarkan Al-Qur’an.Kata Kunci : Pembinaan, Aqidah, Anak
MEDIA WHATSAPP DALAM PEMBELAJARAN AQIDAH AKHLAQ ERA PANDEMI COVID – 19
Authors: Indra Indra , Huwaina Mashdaria
Published: November 2023

Peralihan pembelajaran yang dilaksanakan menjadi alternatif dan solusi dalam pelaksanaan pembelajaran pada masa era pandemic covid- 19. Penggunaan media WhatsApp digunakan di MI Tahfidz Babul Hikmah khususnya pada mata pelajaran Aqidah Akhlaq. Penggunaan media WhatsApp dalam pembelajaran juga menemukan kendala berbagai hambatan dalam pelaksanaannya,         Penelitian ini bertujuan untuk mengetahui proses pemantapanpembelajaran daring via WhatsApp Masa Pandemi Covid-19selain itu untuk mengetahui persepsi siswadan guruterhadap pemantapanpembelajaran daring via WhatsApp Masa PandemiCovid-19sertauntuk mengetahui keuntungan dan hambatan pembelajaran daring via WhatsAppMasa Pandemi Covid-19.Jenis penelitian ini menggunakan pendekatan kualitatif, sumber data dalam penelitian ini meliputi sumber data primer dan sekunder. Teknik pengumpulan data pada penelitian ini menggunakan metode observasi, wawancara, dan dokumentasi. Analisisdata dalam penelitian ini menggunakan tahap analisis data meliputi: reduksi data, penyajian data, dan penarikan kesimpulan.            Hasil penelitian ini menyimpulkan bahwa proses penerapan pembelajaran daring via WhatsApp Masa Pandemic Covid-19sudah berjalan dengan baik, dengan melakukan perencanaan yang matang siswa dapat melaksanakan pembelajaran dengan lancar sehingga guru dapat melakukan evaluasi.Kunci: Pembelajaran, WhatsApp, Covid-19
Medication-Induced Hepatitis caused by Antipsychotic Drugs as a Revelation of Wilson's disease
Authors: Moussaoui N. El , Bahetta S , Belbachir S , Ouanass A.
Published: November 2023

Wilson's disease is an autosomal recessive genetic disorder that results from a mutation in the gene for a heavy metal transporter. This leads to a decrease or absence of copper transport in the bile and its accumulation in organs, particularly the brain. Affected patients have hepatic, neurological or psychiatric forms, and the diagnosis is based on clinical, biological, radiological and presumptive phenotypic arguments, as well as on associated molecular anomalies. Wilson's disease can result in behavioral disorders, depression, and psychosis: schizophrenia or manic depression. The diagnosis can be made if there is a combination of low ceruloplasmin, high cupremia, high cupruria, and a Kayser-Fleisher ring. In case of hemolysis, the cupremia may be elevated. On MRI, signal abnormalities of the basal ganglia, white matter and trunk are indicative of Wilson's disease. Genetic study is performed in case of family history. We present a clinical case of drug-induced hepatitis under antipsychotic drugs in the context of schizophrenia which was revealing of wilson's disease. Although rare, the onset of Wilson's disease can take the form of a late-onset adult psychosis, and is important to address in psychiatry. Is this a comorbidity of schizophrenia and wilson's disease, or is the psychiatric picture merely a consequence of neurological involvement with the disease?
Effect of Duration of Catheterization on Recurrence after Endoscopic Urethrotomy
Authors: Köseoğlu Hikmet , Aracı Muhammet Hilmi Enes , Eroğlu Tolga
Published: November 2023

Purpose: The aim of the study was to analyze the effect of duration of catheterization on the recurrence of urethral stricture recurrence after endoscopic urethrotomy. Material and Methods: We retrospectively analyzed all patients who solely underwent endoscopic urethrotomy between January 2017 and June 2022. The effect of duration of catheterization and other clinical factors including weight, height, smoking, comorbid diseases, number, location, length and etiology of the strictures, presence of previous urethrotomies were analyzed. Results: Total of 231 patients were included in the data analyses. The locations of the strictures were bulbar urethra (76%), penile urethra (15%) and membranous urethra (9%). The etiology was mostly iatrogenic (77%). The maximum duration of catheterization was equal or less than two weeks in all patients. The mean duration of urethral catheterization was 4.5 ± 2.3 days. Thirty-nine percent of the patients had a recurrence. There were no statistically significant difference in terms of stricture location and recurrence but mean time to recurrence was longer in younger ones (21.63±17,50 months vs. 13.37±13,11 months; p=0.013). The duration of catheterization was found to be significantly longer in the group with iatrogenic etiology (5.38±3.22 days vs. 4.22±1.96 days; p=0.002). Conclusions: Endoscopic urethrotomy is still far away from being a definitive treatment with a higher recurrence rate. These rates seem to increase with elder age. Also, the surgeons have a tendency to lengthen the duration of urethral catheterization in iatrogenic ones.
An Assessment of Student's Perception of Learning Anatomy and Virtual Tools among Bangladeshi Medical Undergraduates
Authors: Alim Afshan Jesmin , Shirin Lubna , Kabir Mohammed Shahjahan
Published: November 2023

Introduction: The rapid advancement of virtual tools in medical education has led to a debate on the most effective methods for teaching anatomy to medical students. This study aimed to assess the perceptions of first-year medical students in Bangladesh regarding traditional cadaveric and modern virtual methods in anatomy education. Methods: This cross-sectional descriptive and analytical study was conducted among 110 first-year medical students from two medical colleges in Dhaka, Bangladesh. A pre-tested, open-ended questionnaire was administered to collect data on demographic characteristics, student preferences in anatomy learning, and their level of agreement on the use of traditional and virtual methods. Non-parametric statistical tests were performed to evaluate score differences between teaching methods. Result: The study revealed a strong preference for a blended approach, integrating both cadaveric and virtual methods. Cadaveric methods were predominantly favored for tasks requiring a deep understanding of anatomical structures (76.36%), while virtual methods were preferred for understanding the anatomical basis of functional consequences (60.91%). A significant number of students strongly agreed that cadaveric dissection is vital in anatomy learning (29.09%). Conclusion: The study suggests that both traditional cadaveric and modern virtual methods have unique strengths and weaknesses in anatomy education. A blended approach, integrating both methods, could offer the most comprehensive learning experience for students. The findings have implications for curriculum designers, educators, and policymakers in medical education.
Association between Thyroid Autoantibodies and Abnormal Thyroid Function and Structure of Thyroid Gland
Authors: Shefin Sultana Marufa , Sobhan Rezwana , Md. Ibrahim Md. Ibrahim , Islam Sumona
Published: November 2023

Introduction: Antithyroperoxidase antibody (TPOAb), antithyroid receptor antibody (TRAb) and antithyroglobulin antibody (TgAb) are common thyroid autoantibodies in patients with autoimmune thyroid disease. Studies have demonstrated that the serum presence of thyroid autoantibodies is correlated with the presence of lymphocytic infiltration and the severity of histological thyroiditis. However, one or more of these antibodies are frequently detected in the general population. Abnormalities in thyroid function and structure are common in the population. Aim of the study: The aim of this study was to evaluate the association between thyroid autoantibodies and abnormalities in thyroid function and structure. Methods: This was a multi-center, cross-section, observational study and was conducted in the Department of Endocrinology of Ibn Sina Medical College Hospital, Dhaka, Bangladesh and Enam Medical College, Savar, Dhaka, Bangladesh during the period from September, 2022 to September, 2023. In our study we included 324 patients with thyroid dysfunction. The patients were selected consecutively attending tertiary care hospitals. The study participants provided demographic and clinical data. Thyroid function, thyroid ultrasonogram and serum concentration of TPOAb, TRAb, and TgAb were measured. Result: A total 324 patients were included in this study. Most of the study population were female (79%) and mean age were 37.0± 12.4 years. 58.6% belonged to the 21-40 age group. The mean BMI was found 22.0±4.5 kg/m2 in positive TRAb and 26.5±5.0 kg/m2 in negative TRAb. 229 (70.7%) were hypothyroid and 95 (29.3%) were hyperthyroid patients. Among the study population 211 (65.1%) patients were TPOAb, 112 (34.6%) were TgAb and 80 (24.7%) were TRAb positive. Among the TPOAb positive patients, 78.7% were hypothyroid and 21.3% were hyperthyroid. On the contrary, among the TRAb positive patients, 97.5% were hyperthyroid. Most (158) of the patients have normal ultrasonogram of thyroid. ..
Sinonasal Polyposis: Quality of Life After Surgical Treatment: About 21 Cases
Authors: Anas Belasri , Essahli Fatima Zahra , Sbai Achraf Amine , Benlfadil Drissia , Lachgar Azzedine , Abdnbestein Adil , Elayoubi Fahd
Published: November 2023

Nasosinusal polyposis is a major health problem with important socio-economic implications. Our work presents a retrospective study of 21 patients operated on for nasosinusal polyposis, over a 10-Month, from January 2017 to January 2019 in the Otorhinolaryngology Department of Mohammed VI University Hospital Center in Oujda. The average age of our patients 39, 8 with a range from 16 to 66 years with a male predominance (sex ratio of 1, 3). The objective of our study is to evaluate the quality of life and the severity of individual symptoms in patients with nasosinusal polyposis, were measured using the Sino-Nasal-Outcome Test 22(SNOT-22). The main preoperative symptom score was nasal obstruction with a main score of 4, 3, Anosmia had the second highest preoperative score of 3, 63. The clinical course was marked by improvement in nasal symptomatology with an improvement rate of 43% for nasal obstruction, 54% for anosmia, 50% for the need to blow nose.
Clinical Observations in Patient with Triple Laparoscopic Surgery for Gastric Carcinoma, Chronic Calculus Cholecystitis, and Bilateral Incomplete Direct Inguinal Hernia at a Tertiary Hospital in Bangladesh
Authors: Rozario Agatha Prianka , Hoque Shanjidah , Begum MST Mamtaz , Hossain Mohammad Farid
Published: November 2023

Background: Laparoscopic cholecystectomy is now the gold standard approach for treating cholelithiasis. Compared to open surgery, triple laparoscopy, which addresses stomach carcinoma alongside chronic calculus cholecystitis and bilateral direct incomplete inguinal hernia, may offer enhanced effectiveness and convenience for patients. This study aimed to evaluate the clinical findings of patients with stomach carcinoma, chronic calculus cholecystitis, and bilateral direct incomplete inguinal hernia who underwent triple laparoscopic surgery. But the application of triple laparoscopic surgery is very rare. In this study, we have disseminated the clinical findings of a 70 year’s male patient who underwent triple laparoscopic surgery for the management of stomach carcinoma with chronic calculus cholecystitis and bilateral direct incomplete inguinal hernia. This case study was conducted in the Department of General & Laparoscopic Surgery, Evercare Hospital, Dhaka, Bangladesh during the period from 26 August 2020 to 5 September 2020. As the clinical data, the mean (±SD) values of 3 post-operative readings were accumulated to minimize the possible error. We can conclude that electrolyte status may remain normal in such patients but, dry mouth, vomiting, abdominal distension, poor appetite, poor sleep soundly and loose stools may be considered as some very common symptoms for such cases. Triple laparoscopic surgery is an effective treatment procedure in the management of stomach carcinoma with chronic calculus cholecystitis and bilateral direct incomplete inguinal hernia.
Changes in Optical Coherence Tomography and Fundus Autofluorescence Findings in Acute Zonal Occult Outer Retinopathy
Authors: Makino Shinji , Tampo Hironobu
Published: November 2023

We report a case of peripapillary acute zonal occult outer retinopathy (AZOOR) in a 43-year-old woman. Fundus photographs showed no specific abnormal findings, while blue-light fundus autofluorescence (FAF) imaging revealed well-defined hyperfluorescent areas in the peripapillary region, excluding the macula. The ellipsoid zone (EZ) was absent on optical coherence tomography (OCT) images of this area. Visual field testing with Goldmann perimetry showed blind spot enlargement and multifocal electroretinogram showed corresponding amplitude reductions. Three months after the initial visit, the EZ had reappeared and both FAF and visual field had improved. FAF together with OCT may be useful in the evaluation and monitoring of AZOOR.
Physical Education Activities in Universities: A Survey and Evaluation
Authors: Huy Ha Ngoc , Yen Nguyen Phi
Published: November 2023

Physical education is a compulsory subject in the Vietnamese education system in general and in universities in particular. It has the role of improving health, exercising the body, helping learners have a healthy body, meeting for learning, and other social activities. A survey of 143 people (n=143), including 107 students (n1=107), and 36 lecturers (n2=36) shows the position and role of this subject in universities. However, the survey results also show that a part of teachers and students underestimate the importance of this subject. On the basis of understanding and evaluating the results of scientists and previous research; based on practical surveys, this study recommends solutions to improve the quality of education in this subject at universities.