Jurnal Politeknik Negeri Batam (PoliBatam)
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Comparation Tidal Harmonic Based on IoT Instrument Using Admiralty Method in Tanjungpinang Waters
Get PDFTides are the rising and falling movement of sea level caused by the gravitational force of celestial bodies such as the moon and sun on the mass of seawater on earth. The aim of this research is to compare the use of time series of harmonic constant parameters obtained from tidal data stored in the tool using the admiralty method. Research activities were carried out at the international port of Dompak Island, Tanjungpinang City, Riau Islands. This tidal data is analyzed by admiralty. This method is used to analyze harmonic constants and identify patterns and sea level levels. Based on the results obtained, the type of tide in Tanjungpinang waters is a mixed tide (single dominant) with an F value of 2.01 to 2.07. The sea level elevation values "‹"‹obtained (MSL) from each time series ranged from 75.83 cm to 76.60 cm, (MHWL) ranged from 97.17 cm to 98.24 cm. Then (MLWL) ranges from 58.77 cm to 59.39 cm. Meanwhile, (HHWL) ranges from 153.98 cm to 154.73 cm, and (LLWL) ranges from -2.77 cm to -1.96 cm. With a confidence interval of 5 percent, is obtained. The difference in each time series seen from the data (MSL) is 7cm. Therefore, Tidal data from each time series has no significant differences
Breast Cancer Detection using Decision Tree and Random Forest
Get PDFCancer is one of the most challenging diseases to cure and is a chronic condition that contributes significantly to global mortality. With advancements in artificial intelligence (AI) technology, AI-integrated systems can provide quick and accurate diagnoses based on collected medical data. By leveraging machine learning techniques, this study aims to compare the performance of two models using the Decision Tree (DT) and Random Forest (RF) algorithms on routine blood test data. The research process involves data preprocessing techniques such as handling missing values, detecting outliers, and feature selection, followed by applying the bootstrap aggregating technique to enhance model performance. Feature selection is used to identify the most significant features in the data that contribute to cancer detection. Using the KBest feature selection technique, the study found that the features age, BMI, leptin, adiponectin, and MCP-1 had the highest correlation with the target variable. The resulting models were evaluated to compare the performance of each algorithm. The evaluation results showed that the RF algorithm outperformed DT, achieving an accuracy of 89.65% on the processed dataset using the bootstrap technique, compared to DT\u27s accuracy of 80.17%. Additionally, the RF algorithm demonstrated superior metric values, including a precision of 91.66% and an F1-score of 87.12%. This study concludes that the RF algorithm is more effective than DT for detecting cancer in limited datasets, especially when used with the bootstrap technique. The findings are expected to support the development of decision support systems in healthcare services for more accurate early cancer detection
Application of the Think Aloud and System Usability Scale (SUS) Methods in Usability Evaluation in Online Transportation Applications for the Elderly
Get PDFTechnological advancements have driven the adoption of online transportation applications by various user groups, including the elderly. However, limitations in cognitive aspects and digital experiences cause barriers to application use. This study was conducted to evaluate the usability of online transportation applications for elderly users using the Think Aloud and System Usability Scale (SUS) methods. The evaluation was carried out through a series of tests with eight elderly respondents to measure effectiveness, efficiency, and user satisfaction. The Think Aloud method was used to explore the experiences and difficulties faced by the elderly on the application interface, respondents verbally expressed their thoughts and feelings during the testing process. The Think Aloud testing process is analyzed to identify the specification of the requirements that form the basis for the redesign of the application. The measurement results showed that the average application effectiveness value increased from 85% in the initial design to 100%. Efficiency values show a significant improvement from the initial design of 73% to 100% in the proposed improvement design. The average SUS score before the improvement was 61.25 in the marginal category, and increased to 81.25 in the acceptable category after the improvement design. The results of this study confirm that optimizing design based on the needs of the elderly can improve the user experience and accessibility of online transportation services
SciBERT Optimisation for Named Entity Recognition on NCBI Disease Corpus with Hyperparameter Tuning
Get PDFNamed Entity Recognition (NER) in the biomedical domain faces complex challenges due to the variety of medical terms and their context of use. Transformer-based models, such as SciBERT, have proven to be effective in natural language processing (NLP) tasks in scientific domains. However, the performance of these models is highly dependent on proper hyperparameter selection. Therefore, the aim of this study is to analyse the impact of hyperparameter tuning on the performance of SciBERT in NER tasks on the NCBI Disease Corpus dataset. The methods used in this study include training the baseline SciBERT model without tuning, followed by hyperparameter optimisation using grid search, random search, and bayesian optimisation methods. Model evaluation is done with precision, recall, and F1-score metrics. The experimental results showed that of the three methods grid search and random search produced the best performance with a precision, recall and F1-score of 0.82, improving from the baseline which only achieved a precision and recall of 0.72 and F1-score of 0.68. This study confirms that proper hyperparameter tuning can improve model accuracy and efficiency in medical entity extraction tasks. These results contribute to the development of optimisation methods in biomedical text processing, particularly in improving the effectiveness of the SciBERT Transformer model for NER
The Effect of Product Innovation, Location, and Service Quality on the Competitive Advantage of Senusa Coffeeshop in Pekanbaru City
Get PDFThe Senusa Coffee Shop on Jalan Bangau Sakti Pekanbaru is where this study was carried out. The purpose of this study is to ascertain how Senusa Coffee Shop Jalan Bangau Sakti’s competitive advantage is impacted by product innovation, location, and service quality. All patrons of Senusa Coffee Shop on Jalan Bangau Sakti make up the population of this study. With a sample of 385 customers, this study employed the incidental sampling technique. Product innovation, location, and service quality are the independent factors under investigation. Where the dependent variable is a competitive advantage. The Structural Equation Modeling-Partial Least Square (SEM-PLS) analytical approach is used in this study. The study’s findings indicate that at Senusa Coffee Shop Jalan Bangau Sakti, product innovation significantly boosts competitive advantage, location significantly boosts competitive advantage, and service quality significantly boosts competitive advantage. The R-Square value of 90,5% demonstrates the extent of the relationship between the variables of product innovation, location, and service quality
Operating Expenses Operating Income Impact on Financial Performance Conventional Banks in Indonesia
No full textThis study aims to empirically prove the moderating role of Loan to Deposit Ratio (LDR) on the effect of Capital Adequacy Ratio (CAR) and Operating Cost of Operating Income (BOPO) on financial performance and proxied by Return on Assets (ROA). All banks in Indonesia are the population of this study. The sample is only of conventional banks that meet the specified criteria. WarpPLS version 7.0 was used as the data analysis tool. The results of this study show that only BOPO has an impact on ROA. CAR does not affect ROA, and LDR has no moderating effect on the relationship. This study implies that conventional banks in Indonesia should pay attention to BOPO because it influences ROA, which can affect the investment decisions of potential investors and investors
ANALYSIS OF DEBT AND DIVIDEND POLICIES ON FIRM VALUE: A QUANTITATIVE APPROACH IN INDONESIA SHARIA STOCK INDEX
Get PDFThe primary goal of the firm is to optimize the value of the firm through the use of financial management functions in order to maximize the wealth of the shareholders. Managing the firm\u27s financial structure through debt and dividend policies is one of them. The purpose of this study is to gather empirical data regarding how debt policy and dividend distribution policy affect business value. The Hypothesis Test is a quantitative research approach used in this study. This study uses data analysis techniques and is cross-sectional and time series (panel data: JII 30 years 2018-2023). Regression Analysis of Panel Data. The research hypotheses were assessed using multiple linear regression analysis, and a sample of eleven companies was obtained using purposive sampling. The findings indicate that between 2018 and 2023, debt and dividend policies significantly affect the value of companies listed in the Jakarta Islamic Index. However, only debt policy exhibits a significant impact on firm value when taking into account individual factors among the listed enterprises from 2018 to 202
The Influence of Perceived Security, Usefulness, and Ease of Use on the Adoption of E-Filing by Individual Taxpayers at PT Infineon Technologies Batam
Get PDFThis research intends to empirically analyze the influence of perceived security, usefulness, and ease of use on the adoption of e-filing by individual taxpayers at PT Infineon Technologies Batam. This study utilizes a quantitative approach by collecting data through online questionnaires distributed via Slido. The research sample consisted of 95 respondents selected by purposive sampling. The result showed that perceived security, usefulness, and ease of use positively influence the adoption of e-filing. These findings provide valuable input to the Tax Directorate General (TDG) to improve e-filing services. By increasing the perceived security, usefulness, and ease of use on e-filing adoption, the TDG can help taxpayers use the service more actively
Analysis of Water Scores in Indonesian University to Accelerate the Achievement of SDGs 6
Get PDFOne of the 17 sustainability goals is to have access to sufficient sanitation and clean water. If human health is the main objective, clean water and adequate sanitation are crucial. The enhancement of human life and well-being is influenced by human health, particularly in emerging nations like Indonesia. Thus, the first step in achieving this objective may be education via Indonesian campuses, which is one of the most significant foundations in life. This study attempts to examine the impact of Campus Area as Control Variable (Z) and Water Score or Water Use Score as Variable X on the Total Ratio or contribution of Indonesian campuses to clean water and adequate sanitation. 50 Indonesian campuses that are UI Green Metric members served as samples for this quantitative investigation. The findings of this investigation show that the Total Ratio (Y) is positively impacted by both Campus Area (C) and Water Score (X)
Implementasi Sistem Kontrol PID untuk Orientasi Robot Hexapod
No full textThis research aims to improve the stability and accuracy of hexapod robot motion in the SAR competition in Indonesia using an adaptive PID control system combined with fuzzy logic. PID control has advantages in linear systems but is less responsive to dynamic conditions, while fuzzy logic can produce a more flexible adaptive response. The proposed system uses IMU sensors to measure directional error, where this data is then processed by fuzzy control to adjust the PID parameters in real time. Tests show that this method results in an average recovery time of 3,06 seconds, a rise time of 1,99 seconds, and an overshoot of approximately 10,00% to 15,60%. These results show an increase in the efficiency of the robot in navigating in complex environments, thus improving the performance in real applications.Penelitian ini bertujuan untuk meningkatkan stabilitas dandan akurasi gerak robot hexapod pada kompetisi SAR diIndonesia menggunakan sistem kontrol PID adaptif yang dikombinasikan denganlogika fuzzy. Kontrol PID memiliki kelebihan pada sistem linier tetapi kurangresponsif terhadap kondisi dinamis, sedangkan logika fuzzy dapat menghasilkanrespon adaptif yang lebih fleksibel. Sistem yang diusulkan menggunakan sensor IMUsensor untuk mengukur kesalahan arah, di mana data ini kemudiandiproses oleh kontrol fuzzy untuk mengatur parameter PID secara realwaktu. Pengujian menunjukkan bahwa metode ini menghasilkan pemulihan rata-ratawaktu 3,06 detik, waktu naik 1,99 detik, dan overshootsekitar 10% hingga 15,6%. Hasil ini menunjukkan adanya peningkatan dalamefisiensi robot dalam bernavigasi di lingkungan yang kompleks,sehingga meningkatkan kinerja dalam aplikasi nyata.
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