bluuebunny/crossref_metadata_2025 huggingface dataset:
Migration Success Strategy and Implementation of Enterprise System: A Case Study on PT XYZ Biller Message Switching and Aggregator Service Merger Work From Home
Authors: Oristania Wahyu Nabasya
Published: July 2024

Purpose – The purpose of the research is to determine the strategy for the successful implementation of Biller Message Switching and Aggregator carried out by organizations with multicultural employees during work from home conditions.
Methodology – The method used in this research was a summative evaluation with the research subjects of the merger of Bank X, Bank Y, and Bank Z. Research subjects were chosen because of the success of the development team in integrating enterprise systems to support the merger process carried out during the pandemic.
Results – The results of the research concluded that the ES implementation strategy during the pandemic required consistency, actively documenting each process, over-communicating, and using the appropriate SDLC method.
Originality – This research conducted a thematic analysis on the process of integrating and migrating ES companies that merged during the pandemic.
Contribution – This research contributes to organizations that want to integrate and migrate ES during the pandemic. For academics, research can serve as a foundation for future research in developing theories of ES implementation in virtual or pandemic environments.
Fake News in Social Network: A Comprehensive Review
Authors: Omar Mohamed Rasheed , Abdulazeez Adnan
Published: July 2024

Fake news has become a significant challenge in the digital age, evolving from its historical roots in traditional media to becoming a pervasive issue on social media platforms. This paper presents a comprehensive review of the scope and mechanisms of fake news propagation in the digital era, focusing specifically on social media. It examines the historical development of fake news and assesses the effectiveness of current detection methods. Various aspects of fake news, including its spread and the associated challenges, are explored through a detailed methodological approach that integrates both technological and sociological strategies. The goal is to enhance the accuracy of detection methods and mitigate the impact of fake news. This review aims to synthesize existing paper, identify gaps in the current knowledge, and recommend directions for future paper, ultimately seeking to protect public discourse and maintain the integrity of information in the digital landscape.
Analysis of User Satisfaction while Implementing New Self Order Kiosk (SOK) Technology Using the TAM and Smart PLS Methods
Authors: Muhammad Aizar Aisyun Niam  , M. Tutuk Safirin  , Ahmad Kurniawan
Published: July 2024

Self Order Kiosk (SOK) is machines used for  ordering process. Each SOK machine, equipped with a state-of-the-art touchscreen, displays a variety of menu options, including food, drinks, snacks, and ice cream. When customers place orders through these machines, their orders are sent directly to the kitchen monitor. This allows kitchen staff to immediately prepare and serve the orders quickly and accurately, reducing customer waiting times. However, there have been several complaints from customers about the ordering process using the SOK machines, indicating that there is still room for improvement in the service. Given these issues, researchers are increasingly interested in using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method in this research and Technology Acceptance Model (TAM). PLS-SEM is an analysis technique that enables the simultaneous testing of relationships among multiple dependent and independent variables. TAM is a method designed to examine user attitudes towards technology. Each variable can be a factor or a construct composed of several indicators. The research results led to the conclusion that the perception of the usefulness and ease of use of the Self Order Kiosk (SOK) machine significantly influences the acceptance behavior of SOK technology.
Information Technology Impact on Business Model: Case Study Peer to Peer Lending Company
Authors: Annisa Sajidah  , Muhammad Rifki Shihab
Published: July 2024

Current technological developments encourage companies to re-evaluate their organizational business models to take advantage of technological advances. This research explores the impact of information technology in business model transformation at peer-to-peer lending company. PT XYZ is one of a financial technology (fintech) company in Indonesia which was originally engaged in the traditional lending and borrowing business and then transformed into peer-to-peer lending and then developed Supply Chain Financing (SCF) with a Business to Business (B2B) scheme which was previously only done by banks. The IT Impact Map analysis conducted in this study shows this company’s strategic transformation in adopting technology, IT has an impact on company strategy and value through business process reengineering and allows companies to capture new opportunities.
Evaluasi Implementasi Scrum dengan SMM dan AMM: Studi Kasus Perusahaan Telekomunikasi PT XYZ
Authors: Atissalam Lintang Wisesa , Aji Rizal Fathoni
Published: July 2024

PT XYZ adalah salah satu perusahaan telekomunikasi dengan lebih dari 34.3 juta pengguna di Indonesia. PT XYZ mengadopsi kerangka kerja Scrum dalam tiga proyek pengembangan aplikasi MyXYZ. Persentase keterselesaian masing-masing proyek dalam setiap sprint selama setahun terakhir tidak mencapai 100%. Hal ini mengindikasikan adanya masalah dalam tiap sprint yang berpotensi memperlambat waktu rilis fitur terbaru dan membuang potensi pendapatan yang lebih tinggi. Scrum Maturity Model digunakan untuk mengukur tingkat kematangan penerapan Scrum di PT XYZ. Pengambilan data dilakukan dengan menggunakan Scrum Assessment Questionnaire yang terdiri atas 70 pertanyaan. Kuesioner diberikan kepada 1 orang Scrum Master, 2 orang Product Owner dan 4 orang Development Team dari masing-masing proyek. Data kuesioner kemudian dianalisis dengan key process area rating Agile Maturity Model. Hasilnya, implementasi Scrum di PT XYZ berada di level 3. Perlu standardisasi dan pelaksanaan Scrum retrospective yang disiplin untuk dapat meningkatkan tingkat kematangan ke level selanjutnya.
Uji Kelayakan Sistem Informasi Berbasis Web Pada Kasus Penyakit Mulut dan Kuku
Authors: Nazhifah Sri Azizah , Basri Fazil , Muslim Muslim , Putri Andrini
Published: July 2024

Penyakit Mulut dan Kuku (PMK) adalah infeksi virus pada hewan yang menular dan bersifat akut. Namun, akses masyarakat terhadap informasi dan visualisasi peta persebaran PMK dan vaksinasi di Kabupaten Nagan Raya masih terbatas. Pelaporan kasus PMK oleh masyarakat masih bergantung pada aparat desa, menyebabkan ketidakakuratan informasi dan kendala validasi lapangan. Selain itu, kesulitan dalam pendaftaran vaksinasi hewan ternak disebabkan oleh ketidakakuratan data dan lokasi ternak, menghambat Dinas Peternakan dalam menyediakan dosis dan mengetahui rute lokasi tersebut. Oleh karena itu, penelitian ini bertujuan untuk membangun WebGIS yang mencakup visualisasi persebaran PMK, pelaporan kasus PMK, dan pendaftaran vaksinasi. WebGIS ini dibuat dengan Laravel dan Leaflet, diuji dengan kuesioner validasi, reliabilitas, dan usability. Pengguna termasuk masyarakat umum, Dinas Peternakan, dan Medik. Hasilnya menunjukkan bahwa WebGIS memiliki persentase kelayakan 89,3% dan sangat layak. Ini dapat membantu akses informasi dan visualisasi PMK serta mempermudah pelaporan dan pendaftaran vaksinasi.
Enhancing Agricultural Efficiency: Deep Learning-Based Soil Crack Detection for Water Irrigation
Authors: Myint Khin Moe , Aye Maung , Hla Tin Tin
Published: July 2024

The escalating demand for agricultural precision and environmental monitoring underscores the necessity for effective soil crack detection methods. This study explores the feasibility of employing a Raspberry Pi-powered camera system and deep learning image recognition to detect soil cracks and control agricultural irrigation. The purpose is to develop a soil crack detection system using deep learning techniques, sustain plant growth process, increase productivity, and optimize water irrigation practice. Our approach leverages TensorFlow to craft a convolutional neural network tailored specifically for execution on a Raspberry Pi 3B+. A dataset comprises manually captured images and is trained with the InceptionV3 model categorized into crack or nocrack classes. The accuracy is achieved ranging from 97% to 99%. These results underscore deep learning image recognition models on Raspberry Pi for cost-effective soil crack monitoring and controlling the plants watering system.
Analysis and Design of E-Commerce Adoption as a Form of Digital Marketing for MSMEs: A Literature Review
Authors: Amalia F Endang
Published: July 2024

Information technology is increasingly advanced and developing according to society's needs. Progress and development of information technology occurs in all sectors, especially trade and business. This makes business actors continue to innovate services related to the use of information technology, so that they can be known by the wider community, especially in transactions and buying and selling especially MSMEs. Besides that, the growth of the digital world and the internet, in particular, has opened up new avenues for MSMEs to offer their products and services. Digital marketing is a viable marketing strategy in the current economic climate.
This paper was written using a literature review method or literature review with a qualitative approach. Based on the 7 research both international and national, obtained from various sources via Google Scholar and other online media sources from 2020-2023 with the keywords e-commerce adoption and MSME digital marketing. It can be seen that Branding, Social Media, Content and Caption Marketing, E-mail Marketing, Video Marketing, SEO, Web Design, App Development, SEM have have an important role in digital marketing to increase online sales.
Skin Disease Recognition Based on Deep Learning Algorithms: A Review
Authors: Darweesh Ahwaz , Mohsin Adnan
Published: July 2024

The sharp increase in cases of melanoma and other skin cancers worldwide highlights the urgent need for improved diagnostic methods. Because skin lesions vary widely and access to dermatological knowledge is limited in resource-poor areas, traditional methods - which rely on visual inspection and clinical experience - have difficulty identifying diseases accurately. This situation requires innovative approaches to improve accessibility and diagnostic accuracy. To address these issues, this work uses deep learning (DL) and convolutional neural networks (CNNs). This paper is trying to transform skin cancer diagnosis through the use of large databases of dermoscopic images and advanced artificial intelligence algorithms. In order to evaluate the effectiveness of CNNs and DL in identifying skin diseases, we conducted a comprehensive analysis of the literature, focusing on the accuracy of skin cancer type classification. Our approach focused on model architectures, data preparation methods, and performance indicators while examining existing research using AI algorithms to diagnose skin cancer. With the ultimate goal of improving patient outcomes through early detection and accurate classification of skin conditions, this approach not only underscores the great potential of DL and CNN in transcending traditional diagnostic limitations, but also highlights the continued development of AI-based tools in pathology. Dermatology. Diagnosis.
Credit Card Fraud Detection Based on Machine Learning Classification Algorithm
Authors: Naman Bareq Mardan , Adnan Mohsin Abdulazeez
Published: July 2024

Credit risk analysis is a critical process in the financial industry, as it helps lenders assess the likelihood of borrowers defaulting on their loans. With the advent of machine learning algorithms, there has been a growing interest in leveraging these techniques for more accurate and efficient credit risk prediction. Traditional credit risk models often rely on manual processes and limited data sources, resulting in potential biases and inaccuracies. Additionally, the rapid growth of credit card usage and the increasing complexity of financial transactions have made it challenging to accurately assess credit risk using conventional methods. This review paper aims to provide a comprehensive overview of machine learning algorithms used for credit risk prediction in the context of credit card lending. It explores classification techniques and their applications in credit risk analysis. The paper also discusses the challenges and limitations associated with these algorithms, including data quality, overfitting, and interpretability.
Exploring Image Representation and Color Spaces in Computer Vision: A Comprehensive Review
Authors: Zangana Hewa Majeed , Mohammed Ayaz Khalid , Sallow Zina Bibo , Mustafa Firas Mahmood
Published: July 2024

This paper presents a comprehensive review of image representation and color spaces in the domain ofcomputer vision. Image representation serves as the foundation of computer vision systems, encompassingtechniques such as pixel-based, vector-based, and feature-based representations. Color spaces provide astandardized framework for encoding color information in digital images, with popular models includingRGB, HSV, Lab, and CMYK. The paper explores fundamental concepts, comparative analysis, practicalapplications, and future directions in image representation and color spaces. Insights gained from the reviewhighlight the significance of these concepts in various computer vision applications, including objectrecognition, image segmentation, and image enhancement. Future research directions include addressingchallenges such as achieving color constancy and developing adaptive color space selection techniques. Byleveraging the findings from this review, researchers and practitioners can advance the state-of-the-art incomputer vision and develop more robust and effective systems for real-world applications.
Comparative Analysis of High Speed and Area Efficient Full-Adder using CMOS and MGDI Techniques
Authors: Pwint Hnin Ngwe Yee , Hla Tin Tin
Published: July 2024

Extremely quick processing is crucial for very large-scale integrated (VLSI) circuits in the arithmetic logic unit. Complementary metal oxide semiconductor (CMOS) and modified gate diffusion input (MGDI) are beneficial technologies for designing high-speed circuits with better reliability and performance with regard to area and power consumption. This research work provides a comparative performance analysis of a full adder that is implemented with CMOS and MGDI technology. This work aims to develop a CMOS-based full-adder and a MGDI-based full-adder circuit for area-efficient and high-speed applications. First, the analysis and implementation of the XOR and NAND logic gates are designed using CMOS technology and the MGDI technique to create a full-adder design. The comparative analysis of integrated circuits in CMOS and MGDI technologies is primarily determined by the number of transistors and delay time. The full-adder is designed and analyzed using 90 nm technology, with performance characteristics evaluated using Cadence Virtuoso Tools.
Comparative Analysis of CMOS-based D-type Flip-Flop Architectures for High-Performance VLSI Applications Using 45-nm CMOS Technology
Authors: May Htet Aung  , Tin Tin Hla
Published: July 2024

High performance VLSI (very large-scale integration) is an essential electronic technology required for space missions and scientific advancements. The only source of reliance for the VLSI designer is the data storage devices designated as flip-flops, which are widely used in semiconductor memory devices as well as for data processing and storage in the telecommunication fields. In this paper, the four D-type flip-flop architectures of CMOS-based D-type flip-flops, such as D-type flip-flops using traditional technology (DFF-T), D-type flip-flops with Demorgan’s law (DFF-DL), D-type flip-flops with transmission gates (DFF-TG), and D-type flip-flops with five transistors (DFF-F), have been designed and constructed. The analytical simulations of the schematics and equivalent layouts of these four architectures are implemented using 45-nm complementary metal-oxide-semiconductor (CMOS) technology. With cadence virtuoso design software, the performance investigation of the four D-type flip-flop architectures is compared in terms of layout area, transistor counts, average power consumption, rise time, fall time, and propagation delay. The DFF-F technologies have modestly compact design goals in order to reduce production costs and achieve faster processing speeds with fewer transistors.
Face Recognition Based on Deep Learning: A Comprehensive Review
Authors: Dakhil Nasreen , M. Abdulazeez Adnan
Published: July 2024

Face recognition technology has undergone transformative changes with the advent of deep learning techniques. This review paper provides a comprehensive examination of the development and current state of face recognition techniques influenced by deep learning. We begin by discussing the fundamental deep learning models that have dramatically enhanced the accuracy and efficiency of face recognition, highlighting pivotal architectures such as convolutional neural networks (CNNs) and autoencoders. Subsequent sections delve into the application of these models in various environments and challenges, such as different lighting conditions, occlusion, and facial expressions. We also address the integration of deep learning with emerging technologies such as 3D facial reconstruction and multimodal biometrics. Furthermore, the review explores the ethical, privacy, and bias concerns inherent in facial recognition systems, focusing on the need for responsible and fair practices in AI. Finally, future directions are suggested, focusing on the need for robust, adaptable, and ethical face recognition systems. This paper aims to provide an important resource for researchers and practitioners in the field of computer vision, providing insight into the technological advances and ongoing challenges in deep learning-based face recognition.
Design and Analysis of Load Frequency Control for a Two-Area Power System Using Conventional PID and FPID Controllers
Authors: Win Khin Thu Zar , Hlaing May Su , Hla Tin Tin
Published: July 2024

Power system stability is required to maintain a continuous balance between power generation and load demand. Frequency control is also a major function of automatic generation control and one of the most important control problems in power system design and operation. So, a robust control system must be implemented for controlling the actual power and frequency. This paper mainly focuses on the design of a two-area power system with a rated frequency of 50 Hz, which is used in Myanmar, using the fuzzy-PID method to control the load frequency. It also aims to imply from one area to another when demand suddenly increases or decreases. It involves applying mathematical formulas and models to analyze how an automatic generation control works. The plan is first implemented in a single area before being modified to a two-area power system with and without controllers. The output results are simulated with MATLAB/ SIMULINK.
Transfer Learning in Machine Learning: A Review of Methods and Applications
Authors: Ali Ali Hamad , Abdulazeez Adnan Mohsin
Published: July 2024

Transfer learning has gained significant traction and popularity in the field of machine learning due to its wide range of potential applications. This review article offers a thorough examination of transfer learning techniques and their wide-ranging applications in several fields. This text provides a thorough evaluation of the literature, focusing on important research and the methodology used. Furthermore, a comparative table highlighting transfer learning research across several areas provides valuable insights into the wide range of applications. The inclusion criteria were centred on recent articles published within the past five years that comprehensively examined transfer learning methodologies, applications, frameworks, problems, and future directions. The review articles highlight the widespread use of transfer learning models, the effectiveness of data augmentation strategies, and the capability of transfer learning to tackle issues particular to different domains. Nevertheless, some constraints like as biases in the dataset, difficulties in interpreting the model, and problems with scalability have been recognised. These limitations provide opportunities for future research to focus on creating transfer learning algorithms that are more resilient and easier to read.
Mengeksplor Dampak Interaksi Siswa dengan ChatGPT terhadap Berpikir Kritis dan Pemecahan Masalah
Authors: Elsa Sabrina  , Yulianti Rosi , Ambiyar  , Rizal Fahmi
Published: July 2024

Penelitian ini mengeksplorasi dampak integrasi ChatGPT, sebuah kecerdasan buatan berbasis teks, dalam konteks pendidikan modern. Dengan melibatkan 215 peserta dari berbagai pemangku kepentingan, studi ini menyelidiki pengaruh interaksi dengan ChatGPT terhadap keterampilan kognitif, seperti berpikir kritis dan pemecahan masalah. Hasil menunjukkan variasi persepsi terhadap dampak ChatGPT, dengan beberapa peserta melaporkan peningkatan yang signifikan sementara yang lain merasakan dampaknya terbatas. Kesimpulan menekankan pentingnya penggunaan teknologi kecerdasan buatan secara bertanggung jawab dalam pendidikan, sambil menyadari keterbatasan metodologis dan memperhitungkan perspektif yang beragam dalam mengoptimalkan pengalaman belajar.
ANALISIS MODEL PREDIKSI UNTUK LAYANAN BUS SEKOLAH JAKARTA MENGGUNAKAN PENDEKATAN MACHINE LEARNING
Authors: Wahyuni Sri , Passarella Rossi
Published: July 2024

Penelitian ini bertujuan memprediksi jenis bus sekolah di Jakarta menggunakan metode machine learning. Data dari tahun 2017 hingga 2019 mencakup jumlah penumpang, jumlah sekolah, dan jenis bus. Analisis data eksplorasi mengidentifikasi pola dan tren, dengan feature engineering menghasilkan tiga variabel utama. Tujuh model machine learning diuji, termasuk SVM, Logistic Regression, KNN, Gaussian Naive Bayes, Decision Tree, AdaBoost, dan Gradient Boosting, dengan fokus pada f1-score untuk menangani ketidakseimbangan data. Evaluasi menunjukkan bahwa Gradient Boosting memiliki performa terbaik dengan akurasi, precision, recall, dan f1-score tertinggi. Hasil penelitian memberikan wawasan tentang faktor-faktor yang mempengaruhi jenis bus sekolah dan menawarkan model prediktif yang efektif untuk mendukung pengambilan keputusan dalam pengelolaan transportasi sekolah di Jakarta. Gradient Boosting terbukti paling andal dalam memprediksi jenis bus sekolah, menjadi dasar untuk strategi peningkatan keselamatan dan efisiensi transportasi sekolah.
Voice Recognition Based on Machine Learning Classification Algorithms: A Review
Authors: Sarbast Hajin
Published: July 2024

One essential component of biometric identity is voice recognition technology, which uses speech pattern analysis to authenticate people. With an emphasis on machine learning classification techniques, this review article thoroughly examines the field of speech recognition. We examine the effectiveness of random forest (RF), multilayer perceptrons (MLP), k-nearest neighbours (KNN), and support vector machine (SVM) classifiers via painstaking analysis and empirical evaluation. Utilizing a collection of Sepedi speech audio files, our results demonstrate the remarkable accuracy of 99.86% that RF is capable of producing. Aside from visual aids for better understanding, assessment indicators like as accuracy, precision, recall, F-measure, and root mean square error (RMSE) clarify the effectiveness of the model. The research highlights how machine learning algorithms, especially reinforcement learning (RF), have the capacity to revolutionize speech recognition technology in a variety of contexts.
Data Mining Techniques Against Cyber Threats: A Review
Authors: Sami Jalal , Abdulazeez Adnan Muhsin
Published: July 2024

Abstract Data mining is a technique used to extract useful data from existing databases. Those datasets are now being shared globally. Secure communication and confidentiality are required because data from multiple sources must be collected and stored in one central location. Data mining technology involves methods that rapidly and efficiently convert vast quantities of data into relevant insights adapted to the user's requirements. Unfortunately, the utilization of data mining expertise to acquire sensitive personal information poses a threat to individuals' privacy rights.
 This paper provides a review of the current techniques for preventing cyber risks and safeguarding privacy through the application of data mining. Data mining is used to examine, analyze, and figure out the structure and behavior of data mining organizations. Implementing data mining with optimal outcomes is a challenging task. In the past decade, academics have extensively studied many elements of data extraction. Therefore, it is crucial to provide published research evidence pertaining to this field. For this study, a thorough evaluation was carried out of more than thirty research papers sourced from reputable literature databases.
The objective was to extract significant information regarding the field of data mining. The collected data was then used to address various study inquiries about cutting-edge extraction methodologies, data mining mechanisms in cyber dangers, data extraction procedures, algorithms, and evaluation techniques. This paper discusses various research areas and issues in data mining, serving as a valuable reference for researchers in this domain.
Training on Early Detection of Stroke for Health Cadres to Prevent Disability After Stroke in the Kebonsari Village Area
Authors: Septianingrum Yurike , Sari Ratna Yunita , Hatmanti Nety Mawarda , Wijayanti Lono , Firdaus Firdaus , Yuniati Dyah
Published: July 2024

ABSTRACT Early detection of stroke is an effort to prevent more severe disability in stroke patients. Delays in bringing stroke patients to the hospital are one of the reasons why patients miss the golden period of stroke treatment. Health cadres play an important role in identifying health problems in the community, but most cadres do not understand how to carry out early stroke detection. To increase the knowledge and ability of cadres in detecting strokes so that treatment does not exceed the golden period of strokes. The method used in this community service activity is a participative educational approach, including providing health education and demonstrations regarding early stroke detection. This activity was conducted in April 2023 and was attended by 35 health cadres. Knowledge and ability to detect stroke are evaluated used knowledge questionnaire instruments and observation sheets. The results of community service show that the knowledge and ability to perform stroke detection among cadres has increased after training. Cadres' knowledge and ability to detect stroke in the health community can be improved through early stroke detection training. It is hoped that trained health cadres can provide health education to other residents to increase residents' knowledge about stroke and when is the right time to take patients to hospital. Keywords: Early Detection, Health Cadres, Non-Communicable Disease, Stroke
Increasing Elderly Knowledge about Hypertension Crisis with Audio-Visual Media
Authors: Prastiwi Firman , Fitriyani Noor , Budiman Amin Aji , Listrikawati Martini , Listiyanawati Mutiara Dewi , Mardiyah Siti
Published: July 2024

ABSTRACT Hypertensive crisis is the most common problem in the elderly resulting from uncontrolled hypertension. A common problem that is a factor causing a hypertensive crisis is ignorance regarding how to treat and prevent the disease, which increases the risk of a hypertensive crisis, so a means of increasing knowledge is needed, namely audio-visual media. The aim of this activity is to increase the elderly's knowledge about hypertensive crises using audio-visual media. The activity was held on December 21, 2023, regarding audio-visual media education about preventing hypertensive crises in the elderly, located at the Mojogedang Mental Revolution House. There were 42 elderly people who took part in the activity in the elderly posyandu area. The pretest results showed that 15 people (35.7%) dominated the elderly's knowledge as poor. The posttest results showed that knowledge of the elderly was dominated by 18 people (42.9%). The marginal homogeneity test obtained a p value of 0.000, which concluded that audio-visual media is an alternative means of increasing the knowledge of the elderly. In conclusion, community service using audio-visual media methods regarding the prevention of hypertensive crises in the elderly significantly helps in increasing the knowledge of the elderly. Keywords: Audio-visual, Elderly, Health Education, Hypertension Crisis
Literatur Review : Terapi Non-Farmakologis dalam Upaya Pencegahan Depresi Postpartum
Authors: Wahidah Nurul Jannatul , Rahmawati Elsa , Richa Fadhila Tsania , Fatmawati Riswi Alinda , Nurhidayati Siti
Published: July 2024

ABSTRACT The postpartum period, or the puerperium, is the time for mothers after childbirth until the reproductive organs return to their normal state, similar to pre-pregnancy conditions, lasting for 40 days or 6 weeks. This marks a new phase in the lives of many mothers, making them susceptible to postpartum depression. The incidence of postpartum depression in mothers is around 13-40%. To analyze non-pharmacological therapies in preventing postpartum depression. Literature search was conducted through Sciencedirect, resulting in 6,171 articles, Pubmed with 242 articles, and Google Scholar with 17,500 articles. Subsequently, screening was performed, yielding 12 qualifying articles. From the search results, five non-pharmacological therapies were identified: music therapy, color therapy, aromatherapy, hypnosis or thought-stopping therapy, spiritual therapy, and cognitive habit therapy. Based on the reviewed research articles, music therapy, color therapy, aromatherapy, hypnosis or thought-stopping therapy, spiritual therapy, and cognitive habit therapy have a significant impact on reducing postpartum depression. Keywords: Therapy, Non-Pharmacological, Depression, Postpartum, Puerperium ABSTRAK Periode post partum atau masa nifas merupakan masa ibu setelah melahirkan hingga kembalinya organ-organ reproduksi dalam keadaan normal seperti saat sebelum hamil dan berlangsung selama 40 hari atau 6 minggu. Hal ini merupakan kondisi baru dalam fase kehidupan beberapa ibu, sehingga ibu berisiko mengalami depresi postpartum. Angka kejadian depresi postpartum pada ibu sekitar 13-40%. Menganalisis terapi non-farmakologis dalam upaya pencegahan depresi postpartum. Pencarian literature dilakukan melalui database Sciencedirect ditemukan 6.171 artikel, Pubmed 242 artikel, dan Google Scholar sebanyak 17.500 artikel. Kemudian dilakukan penyaringan, dan diperoleh 12 artikel yang memenuhi syarat. Dari hasil pencarian, didapatkan lima terapi non-farmakologi, yakni terapi musik, terapi warna, aromaterapi, hipnosis atau terapi thought stopping, terapi spiritual, dan terapi kebiasaan kognitif. Berdasarkan review artikel penelitian yang didapatkan, terapi musik, terapi warna, aromaterapi, hipnosis atau terapi thought stopping, terapi spiritual, dan terapi kebiasaan kognitif memberikan pengaruh yang signifikan terhadap penurunan depresi postpartum. Kata Kunci: Terapi, Non-Farmakologis, Depresi, Postpartum, Nifas
Kualitas Hidup Pasien Kanker yang Menjalani Kemoterapi di Rumah Sakit Umum Daerah Jend Ahmad Yani Metro
Authors: Ayubbana Sapti , Ludiana Ludiana , Chrisanto Eka Yudha , Fitri Nuri Lutfiatil , Sari Senja Atika
Published: July 2024

ABSTRACT Cancer is a health problem and cause of death in the world. Cancer is a disease characterized by the growth of abnormal cells and can metastasize to other parts of the body. One of the therapeutic modalities is chemotherapy. Chemotherapy has a therapeutic effect on cancer cells and also has an impact on normal cells that divide rapidly. Chemotherapy causes various side effects that can affect the patient's physical and non-physical condition. Physical and non-physical changes in patients undergoing chemotherapy affect the patient's quality of life. The aim of the research was to determine the quality of life of cancer patients undergoing chemotherapy. This research is a descriptive analytical study with a cross sectional approach. The population in this study were cancer patients who were undergoing chemotherapy in the chemotherapy service unit of RSUD Jend. Ahmad Yani Metro. The sample in this study were cancer patients treated in the chemotherapy service unit at Jend Hospital. Ahmad Yani Metro numbered 35 respondents. Determining the number of samples using quota sampling. The data collection tool uses the EORTC QLQ-C30 instrument. The quality of life results for cancer patients are based on the assessment or answer score of the EORTC QLQ-C30. The quality of life score is 671.73 ± 352.82 with a moderate quality of life interpretation. Conclusion: The patient's quality of life is in the moderate category. Keywords: Cancer, Chemotherapy, Quality of Life  ABSTRAK Kanker merupakan masalah kesehatan dan penyebab kematian di dunia. Kanker merupakan penyakit yang ditandai dengan pertumbuhan  sel-sel abnormal  dan dapat bermetastase  ke bagian tubuh lain. salah satu modlaitas terapi adalah kemoterapi. Kemoterapi memberikan efek terapi pada sel-sel kanker juga berdampak pada sel-sel  normal yang membelah dengan cepat. Kemoterapi menimbulkan berbagai efek samping yang dapat mempengaruhi kondisi fisik maupun non fisik pasien. Perubahan fisik dan non fisik pada pasien yang menjalani kemoterapi mempengaruhi kualitas hidup pasien. Tujuan penelitian  untuk megetahui  kualitas hidup pasien kanker yang menjalani kemoterapi. Penelitian   ini   merupakan   penelitian   deskriptif  analitik dengan pendekatan cross sectional. Populasi pada penelitian ini adalah pasien kanker yang sedang menjalani  kemoterapi di unit pelayanan  kemoterapi RSUD Jend. Ahmad Yani Metro. Sampel dalam penelitian ini adalah pasien kanker yang dirawat di unit pelayanan kemoterapi RS Jend. Ahmad yani Metro berjumlah 35 responden. Penentuan jumlah sampel dengan quota    sampling.  Alat  pengumpul  data  menggunakan instrument EORTC  QLQ-C30. Hasil  kualitas hidup pasien kanker berdasarkan penilaian atau skor jawaban EORTC QLQ-C30 Skor kualitas hidup sebesar 671,73±352,82 dengan interpretasi kualitas hidup sedang. Kesimpulan kualitas hidup pasien kategori sedang. Kata Kunci: Kanker, Kemoterapi, Kualitas Hidup
Hubungan Dukungan Orang Tua dengan Harga Diri Remaja di SMK Raflesia Depok
Authors: Nilamsari Izni Rachma , Sukamti Nita , Fajariyah Nur
Published: July 2024

ABSTRACT Adolescence is the age range from 10 to 19 years where a person's development includes significant physical, cognitive and psychosocial growth. At this stage, the role of parents becomes very crucial in providing the support needed to form positive self-esteem and create a high level of self-esteem. This study aims to determine the relationship between parental support and self-esteem in adolescents at Raflesia Vocational School, Depok. This study used a cross sectional research design with random sampling technique involving 162 respondents. The research instrument consists of a bullying questionnaire, support from parents, peers and a self-esteem questionnaire which has been tested for validity and reliability with Cronbach's alpha > Cronbach's alpha standard. Data were analyzed using chi-square to determine whether there was a relationship between variables. The research results show that there is a significant relationship between the independent variable (parental support) and the dependent variable (adolescent self-esteem). There is a significant relationship between parental support and self-esteem in adolescents with a ρ value <0.05. Keywords: Parental Support, Self-Esteem of Adolescent Peers ABSTRAK Masa remaja adalah rentang usia 10 hingga 19 tahun di mana perkembangan seseorang mencakup pertumbuhan fisik, kognitif, dan psikososial yang signifikan. Pada tahap ini, peran orang tua menjadi sangat krusial dalam memberikan dukungan yang diperlukan untuk membentuk harga diri yang positif dan menciptakan tingkat harga diri yang tinggi. Penelitian ini bertujuan untuk mengetahui hubungan dukungan orang tua dengan harga diri pada remaja di SMK Raflesia Depok. Pada penelitian ini menggunakan desain penelitian cross sectional dengan random sampling technique yang melibatkan 162 responden. Instrument penelitian terdiri dari dukungan orang tua dan kuesioner harga diri yang telah diuji validitas dan reliabilitas dengan nilai cronbach’s alpa > cronbach alpha standart. Data dianalisis menggunakan chi-square untuk mengetahui adanya hubungan antar variabel. Hasil penelitian menunjukan bahwa terdapat hubungan yang signifikan antara variable independen (dukungan orang tua) dengan variable dependen (harga diri remaja). Terdapat hubungan yang signifikan antara dukungan orang tua dengan harga diri pada remaja dengan nilai ρ value < 0,05. Kata Kunci: Dukungan Orang Tua, Harga Diri Remaja
Analisis Faktor yang Berhubungan dengan Kepatuhan Minum Obat Pada Lansia dengan Hipertensi di Wilayah Kerja Puskesmas Tridayasakti Tambun Selatan
Authors: Aini Tiara Fahriatunnisa , Aisyiah Aisyiah , Rifiana Andi Julia
Published: July 2024

ABSTRACT The final stage of the aging process is becoming elderly. One of the health problems that often occurs in the elderly is hypertension. Adherence to taking medication is the biggest important factor that can affect blood pressure control. Factors that influence the occurrence of drug compliance include: knowledge, family support, health worker support.  This study aims to determine knowledge, family support, health worker support with adherence to taking medication in the elderly in the Tridayasakti Health Center Working Area. This study is a quantitative study using a cross sectional approach conducted in November 2023 – January 2024. The population in this study were elderly people with hypertension in the Tridayasakti Health Center Working Area with a sample of 102 samples using purposive sampling method. The results of this study indicate that there is a significant relationship between knowledge and compliance with taking medication (p=0.02), family support and compliance with taking medication (p=0.012), there is no significant relationship between health worker support and compliance with taking medication (p=0.182). It is hoped that future researchers can develop research on other factors that affect adherence to taking medication such as length of suffering from hypertension, stress levels, and so on.Keywords: Family Support, Health Professional Support, Adherence to Taking Medication, Elderly, Knowledge.  ABSTRAK Tahap akhir dari proses penuaan adalah menjadi lansia. Salah satu masalah kesehatan yang sering terjadi pada lansia adalah hipertensi. Kepatuhan minum obat merupakan faktor penting terbesar yang dapat mempengaruhi pengendalian tekanan darah. Faktor yang mempengaruhi terjadinya kepatuhan minum obat antara lain: pengetahuan, dukungan keluarga, dukungan tenaga kesehatan.  Penelitian   ini   bertujuan   untuk   mengetahui pengetahuan, dukungan keluarga dukungan tenaga kesehatan dengan kepatuhan minum obat pada lansia di Wilayah Kerja Puskesmas Tridayasakti. Penelitian ini adalah penelitian kuantitatif menggunakan pendekatan cross sectional yang dilaksanakan pada bulan November 2023 – Januari 2024. Populasi dalam penelitian ini adalah lansia dengan hipertensi di Wilayah Kerja Puskesmas Tridayasakti dengan sampel berjumlah 102 sampel menggunakan metode purposive sampling. Hasil penelitian ini menunjukkan bahwa terdapat hubungan yang signifikan antara pengetahuan dan kepatuhan minum obat (p=0,02), dukungan keluarga dan kepatuhan minum obat (p=0,012), tidak adanya hubungan yang signifikan antara dukungan tenaga kesehatan dengan kepatuhan minum obat (p=0,182). Diharapkan peneliti selanjutnya agar dapat mengembangkan penelitian tentang faktor-faktor lain yang mempengaruhi kepatuhan minum obat seperti lamanya menderita hipertensi, tingkat stress, dan sebagainya. Kata Kunci: Dukungan Keluarga, Dukungan Tenaga Kesehatan, Kepatuhan Minum Obat, Lansia, Pengetahuan.
Penerapan Terapi Diversional Pada Pasien Harga Diri Rendah di Wilayah Kerja Puskesmas Limboto Kabupaten Gorontalo
Authors: Taib Vidya Salsabilla , Biahimo Nur Uyun I. , Piola Wiwi Susanti , Firmawati Firmawati
Published: July 2024

ABSTRACT Low self-esteem is negative thoughts and feelings towards oneself so that sufferers feel a loss of self-confidence, pessimism and worthlessness in their lives..One intervention to support situational low self-esteem is diversional therapy. The aim of this research isidentifying self-esteem before and after being given diversional therapy to patients with low self-esteem in the working area of the Limboto Community Health Center, Gorontalo Regency. The research method used in this research is experimental design (one group pre-test post-test design). From the results of this research, it can be seen that the mean value of the pre test is 13.20 and the post test is 17.00, the standard deviation of the pre test is 000 and the post test is 422, the standard error of the pre test is 1.033 and the post test is 3.682, and the total data is 10 for the pre test and post, as well as the Sig value. 2-tailed is 0.002 <0.05, meaning there is a significant influence between the pre-test and post-test. There is an influence of the application of diversional therapy on patients with low self-esteem at the Limboto health center, Gorontalo district. It is hoped that the results of this research can become a reference and add information about diversional therapy in patients with low self-esteem. Keywords: Low Self-Esteem, Diversional Therapy  ABSTRAK Harga diri rendah adalah suatu pemikiran dan perasaan negatif terhadap diri sendiri sehingga penderita merasakan hilangnya rasa percaya diri, pesimis dan tidak berharga dikehidupannya. Salah satu intervensi pendukung harga diri rendah situasional yaitu terapi diversional. Tujuan penelitian ini yaitu mengidentifikasi harga diri sebelum dan setelah diberikan terapi diversional terhadap pasien dengan harga diri rendah di wilayah kerja Puskesmas Limboto Kabupaten Gorontalo. Metode penelitian yang digunakan pada penelitian ini adalah experimental design (one group pre-test post-test design). Hasil penelitian ini dapat diketahui bahwa nilai mean pre test yakni 13,20 dan post test 17,00 standar devisiasi pre test yakni 000 dan post test 422, standar eror pre test 1,033 dan post test 3,682, serta jumlah data sebesar 10 untuk pre test dan post, serta nilai Sig. 2-tailed adalah 0,002 <0,05 artinya terdapat pengaruh yang signifikan antara pre test dan post test.Terdapat pengaruh penerapan terapi diversional pada pasien harga diri rendah di puskesmas limboto kabupaten gorontalo. Diharapkan hasil penelitian ini dapat menjadi acuan dan menambah informasi tentang Terapi diversional pada pasien harga diri rendah. Kata Kunci: Terapi Diversional, Pasien, Harga Diri Rendah
Binary personality as a critical subject of the modern economy self-organization
Authors: Tsvetkov Valery A. ,   Market Economy Institute of RAS, Salikhov Boris V. , Salikhova Irina S. ,   Financial University under the Government of the Russian Federation,   Market Economy Institute of RAS,   Market Economy Institute of RAS,   Moscow University named after S.Y. Witte
Published: July 2024

The article is devoted to substantiating the need for a qualitative renewal of a personality-oriented approach to the study of modern economics. At the same time, the methodological basis was the evolutionary and behavioral economic theories, in which the main subject of activity is the personality. The novelty of the results of the work lies in the identification of a synergetic form of increasing economic complexity, as well as the designation of a critical entity with authority to carry out economic self-organization. The concept of a binary personality is substantiated, which represents the unity of the individual as a «collapsed» society and society as an «expanded» individual. The unity and interrelation of the phenomena of binary personality and binary quality of economic synergetics as the basis of progressive economic development in the process of ensuring dynamic balance of freedom of economic decision-making and the need to develop morally acceptable forms of their creative and labor realization is shown. The necessity of the «renaissance» of individualism is proved, since it is the unique individual who is the generator, first of all, of implicit knowledge as the cognitive basis of large-scale and radical innovations. The scientific and practical significance of the article's conclusions lies in the possibility of their use for further improvement of the disciplinary matrix of political economic analysis, as well as for qualitative updating of programs of all forms and types of modern education, the objective function of which should be to form divergent thinking among students and employees.
Identification of Brucella spp. in Aborted Fetuses by Guineapig inoculation
Authors: Sharmy Sayra Tasnin , Yeasmin Farzana , Ahmed Adnan , Tito Mokammel Hossain , Rahman Md. Siddiqur , Ehsan Md. Amimul , Rahman A K M Anisur
Published: July 2024

Abstract
Background: Brucellosis is a zoonotic disease which is endemic in Bangladesh. The prevalence of bovine brucellosis in subsistence management system in Bangladesh is low. However, the prevalence of bovine brucellosis at Central Cattle Breeding and Dairy Farm (CCBDF) is reported to be very high and Brucella abortus DNA has also been detected from cows’ milk of this farm. The principal manifestation of bovine brucellosis is abortion in pregnant cows, which is common at CCBDF. The role of brucellosis in abortion at CCBDF has not been ascertained. Hence, this study was undertaken to confirm Brucella spp. as the etiology of abortion in cows at CCBDF.
Materials and Methods: Aborted fetal membranes and vaginal swabs from 3 cows, in which late abortion occurred, were collected aseptically from the CCBDF. The samples were initially stained with modified Zeihl-Neelsen staining method. The stain-positive samples were ground individually using a pestle and mortar, and a homogenized mixture was prepared by adding normal saline. Two milliliters of the homogenate from each sample were inoculated subcutaneously into a guinea pig. The sera of guinea pigs were collected after 3rd week of inoculation to perform rose Bengal test (RBT) and rapid antibody test (RAT).
Result: Samples from two cows showed positive staining result in which numerous pink-colored coccobacilli were seen. All the sera collected were tested positive for both RBT and RAT. It is evident from this study that three of two abortions at CCBDF were due to brucellosis.
Conclusion: Guineapig inoculation technique could be used as a good alternative of culture for confirming the diagnosis of brucellosis from contaminated clinical samples like placenta.