Universitas Ahmad Dahlan Journal
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Personality Traits and Parenting Stress Among Working Mothers of Young Children
Get PDFWorking mothers with young children bear dual responsibilities, managing professional duties while attentively caring for their children, often leading to parenting stress. This study aims to examine the influence of Big Five personality traits on parenting stress among working mothers with young children. This research fills a gap in the literature regarding how personality aspects affect parenting stress. The study participants included working mothers with children aged 0-6 years, who are married, and residing in the Special Region of Yogyakarta, Indonesia. The methodology utilized the Parenting Stress Scale (PSS) and The Big Five Personality Inventory (BFI), with data analysis conducted through multiple regression techniques. The results indicate that agreeableness and extraversion negatively affect parenting stress, while openness, conscientiousness, and neuroticism do not have a significant impact. These findings underscore the importance of understanding personality traits in managing parenting stress among working mothers. The implications of this study can be used to develop more effective interventions to support the mental health of working mothers.Keywords: Parenting stress, openness, conscientiousness, extraversion, agreeableness, neuroticism
The Role of Self-Confidence and Self-Control in Fear of Missing Out (FoMO) Among High School Students
Get PDFFear of missing out (FoMO) has become a significant issue experienced by internet users. However, research on FoMO has not been extensively explored. Therefore, the current study examines whether there is a relationship between self-confidence and self-control on Fear of missing out. This is a quantitative study with a descriptive correlational design, involving a sample of 164 students. The result show that self-confidence is significantly negatively correlated with fear of missing out. Addictionally, self control is also negatively correlated with Fear of missing out. Hence, in addressing FoMO, counselors need to enhance individuals’ self-confidence and self-control as protective strengths.
Authentic Happiness in Marriage: How Do Effective Communication and Positive Emotional Support Contribute?
Get PDFIn today’s marriages, a common issue is the lack of effective communication and positive emotional support, which can lead to divorce and impact authentic marital happiness. This study aims to explore the relationship between effective communication, positive emotional support, and authentic happiness in marriage. A total of 72 couples participated in this research, selected through purposive sampling. Criteria included a marriage duration of no more than 5 years and an age range of 19-40 years for partners, aligning with early adulthood developmental theory. Data were analyzed descriptively, followed by prerequisite analysis and hypothesis testing using regression analysis. The results indicate a significant relationship between effective communication, positive emotional support, and authentic marital happiness. These findings have practical implications for premarital counseling and guidance programs, offering a reference for counselors to inform couples about the importance of effective communication and positive emotional support.
Pengenalan Budaya Provinsi Jambi Dengan Virtual Reality
Get PDFBudaya Jambi merupakan salah satu kekayaan yang dimiliki Indonesia, namun masih kurang dikenal oleh masyarakat luas. Globalisasi yang begitu cepat membuat budaya asing masuk ke Indonesia dengan sangat mudah, sehingga budaya lokal mengalami degradasi. Hasil kuesioner menunjukkan bahwa masih banyak masyarakat yang tidak mengetahui budaya Jambi, khususnya tarian, rumah, dan alat musik tradisional. Permasalahan ini memicu pengembangan solusi dalam bentuk media pengenalan yang lebih menarik, yang memanfaatkan teknologi virtual reality. Virtual reality merupakan sebuah teknologi yang dapat menciptakan replika lingkungan dan menciptakan emosional seakan-akan pengguna berada di dalamnya. Penelitian ini bertujuan untuk mengenalkan budaya Jambi kepada masyarakat sehingga budaya Jambi dapat terjaga kelestariannya. Metode penelitian yang digunakan adalah kuesioner, studi literatur, dan observasi sebagai metode pengumpulan data serta metode Multimedia Development Life Cycle (MDLC) sebagai metode pengembangan perangkat lunak. Pengujian aplikasi menggunakan Black Box dan Single Ease Question(SEQ). Pengujian SEQ dilakukan bersama 15 responden menghasilkan nilai rata-rata 6.3 yang berarti aplikasi mudah untuk digunakan
Pengaruh resiliensi terhadap academic burnout pada mahasiswa Fakultas Kedokteran Universitas Sumatera Utara
Get PDFSejak ataupun setelah pandemic Covid-19, mahasiswa kedokteran banyak merasakan perubahan besar dalam proses pembelajaran yang dilakukan di Fakultas Kedokteran. Perubahan tersebut baik secara langsung ataupun tidak langsung dapat berdampaak pada academic burnout mereka. Penelitian ini bertujuan memberikan data empiris mengenai pengaruh resiliensi terhadap academic burnout pada mahasiswa Fakultas Kedokteran Universitas Sumatera Utara. Metode penelitian yang digunakan adalah metode kuantitatif dengan metode korelasi. Partisipan penelitian sebanyak 220 orang mahasiswa. Teknik pengambilan sampel dalam penelitian ini adalah simple random sampling. Instrumen psikologis yang digunakan dalam penelitian ini adalah skala resiliensi dengan menjadikan skala Connor-Davidson Resiliensi Scale (CD-RISC) sebagai referensi dalam pembuatan alat ukur yang baru dan yang kedua skala academic burnout. Pada pembuatan alat ukur yang kedua ini, peneliti menggunakan skala adaptasi yang disusun oleh Schaufeli yaitu Maslach Burnout Inventory-Student Survey (MBI-SS). Teknik analisis data menggunakan regresi linear sederhana. Hasil penelitian menunjukkan bahwa skor resiliensi mempengaruhi academic burnout sebesar 51,3%. Penelitian ini menyimpulkan bahwa pengaruh yang diberikan oleh variabel resiliensi terhadap variabel academic burnout bersifat negatif, artinya semakin tinggi resiliensi dari mahasiswa Kedokteran maka academic burnout akan semakin rendah
Analysis of Specific Water Consumption Based on Water Discharge Case Study of Batang Agam Hydroelectric Power Plant
Get PDFRenewable energy has an important role today, one of which is hydroelectric power plants which use water as the main resource. So the amount of water is very important for producing every 1 kWh of electricity, this is called specific water consumption. Each hydropower plant has different SWC standards. The research was carried out to determine the SWC value and generator efficiency at the Batang Agam Hydroelectric Power Plant in the period April 2022 to April 2023. The research method was carried out by observing and collecting the required data such as inflow, outflow and daily electrical energy distribution data. Calculate water volume, hydraulic energy and specific water consumption. The research results show that the swc is in the range of 3 -4 m3/kWh, which means this value is below the standard swc value for the Batang Agam Hydroelectric Power Plant, namely 4,808 m3/kWh. This is caused by the unstable condition of the water flow flowing from the river to the Batang Agam Hydroelectric Power Plant which is influenced by rainfall. And based on the electrical energy generated with the distributed electrical energy, the efficiency of the Batang Agam Hydroelectric Power Plant for one year is 71.66%
Throughput and Coverage Evaluation on The Use of Existing Cellular Towers for 5G Network in Surakarta City
Get PDFCurrently, telecommunication operators must deploy 5G networks to cope with the exponential growth in internet-access demand. To minimize capital expenditure, existing 4G cell towers are being used to install new 5G base stations (gNodeB). However, 5G has different key performance indicators (KPI), frequency and bandwidth values, and propagation models compared to 4G hence an evaluation of this approach’s effectiveness is needed. This paper analyzes 5G network performance with frequency of 3.5 GHz, bandwidth of 100 MHz, and using existing cellular towers in Surakarta City. The city has a total area of 46.8 km2, mostly flat topography and not many tall buildings therefore propagation models with line-of-sight urban macro (UMa) and urban micro (UMi) are representative. KPI parameters for throughput include 75% of the area served with at least 100 Mbps for downlink and at least 50 Mbps for uplink. KPI parameter for signal strength targets at least 90% of the area covered with -100 dBm or higher. Our Atoll simulations show that the optimistic scenario (UMa) produces average throughput of 153.59 Mbps (downlink) and 117.88 Mbps (uplink), 89.43% served with at least 100 Mbps (downlink) and 100% experience at least 50 Mbps (uplink), average signal strength is -83.99 dBm and 79.71% area covered with at least -100 dBm. The pessimistic scenario (UMi) predicts throughput of 141.32 Mbps (downlink) and 117.88 Mbps (uplink), 86.52% provided with at 100 Mbps (downlink) and 100% served with 50 Mbps (uplink), average signal strength of -90.73 dBm and 75.13% area covered with at least -100 dBm. It can be concluded that the 5G network installed at existing 4G towers can conform to KPI parameters on throughput but still experience drawbacks in signal coverage. A non-Standalone 5G network is suitable for early deployment, but gNodeB installation at new locations is needed in the following years
Measuring on Physiological Parameters and Its Applications: A Review
Get PDFIn providing patient care, it is essential to know the patient’s status to avoid incorrect treatment. Patient status includes various physiological parameters such as heart rate, blood oxygen saturation, blood pressure, body temperature, and respiratory rate. Measuring each physiological parameter requires data collection and analysis. Data acquisition in measuring physiological parameters can be categorized into contact methods, non-contact methods, invasive methods, and non-invasive methods. After data collection, it is crucial to analyze the collected data to ensure accurate and reliable measurements. This analysis can utilize RF signals, PPG signals, machine learning, and deep learning, depending on the specific needs and objectives of the study. This paper aims to identify studies based on types of data acquisition and analysis methods developed. These studies will be reviewed to understand the limitations of the data acquisition methods and analysis methods used. Additionally, this paper will discuss and classify the types of applications developed in these studies over the last five years, focusing on functionality, device design, and body-to-device connectivity. This review will identify whether the studies developed wearable or portable, wired or wireless devices, and their purpose whether for diagnosis, monitoring, or both. This review will also highlight the limitations and provide a brief perspective on future developments
Automatic Software Refactoring to Enhance Quality: A Review
Get PDFRefactoring aims to enhance the internal structure of the code and improve maintainability without affecting its functionality and external behavior. As a result of the development of technologies, it has become necessary to apply automatic refactoring to address complexities and reduce technical debt. This review presents machine learning and deep learning techniques that lead to identifying opportunities for the need for refactoring and implementing them through analyzing the software code and discovering "code smells", where the focus is on the role of tools such as RefactoringMiner, CODEBERT in enhancing the accuracy of prediction. This review presents various methodologies that include metrics-based methods, search, machine learning and discusses their impact on software quality. The review reviews experimental studies that focus on the challenges of refactoring such as reducing the risks associated with making unnecessary modifications and determining the appropriate timing. Notable empirical studies include a study by Bavota et al., in which Ref-Finder was used to detect 15,008 refactorings in open source software systems, identifying 85% of which improved code quality and reduced bugs. Additionally, another study by Khatchadourian et al. demonstrated the effectiveness of OPTIMIZE STREAMS in improving code performance in large Java projects, increasing efficiency by 55% on average. The study presents two research contributions. The first is a comprehensive analysis of automated refactoring techniques using machine learning algorithms, in addition to improving maintainability and reducing complexity. The second contribution is to provide recommendations to support developers in using modern tools and choosing the right timing for refactoring, which enhances code productivity. The results showed that machine learning techniques can significantly enhance the efficiency of refactoring and thus support developers in making accurate decisions in enhancing maintainability
Comparative Analysis of Daily and Weekly Heavy Rain Prediction Using LSTM and Cloud Data
Get PDFIndonesia's distinct geographic and climatic features make forecasting the weather there tricky. Due to its location at the equator and between two enormous oceans, the nation endures erratic weather patterns. Despite technical developments, the Meteorology, Climatology, and Geophysics Agency (BMKG) require assistance with precise forecasting. This research seeks to increase prediction accuracy using the Long Short-Term Memory (LSTM) algorithm, a deep learning technique appropriate for time series data processing. The research focuses on cloud data sets to improve the prediction of heavy rain. The potential of LSTM in weather forecasting has been demonstrated in earlier research, focusing on identifying rain at particular intervals. This research compares daily and weekly heavy rain prediction models using Python. Results reveal that the weekly model outperforms the daily model, achieving 85% accuracy compared to 80%. These findings highlight the effectiveness of LSTM in addressing the limitations of existing methods, offering a foundation for more reliable weather forecasting tailored to Indonesia’s conditions