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Technological advancements will eventually have an impact on all parts of society's environment, including transportation. Based on application technology, online transportation is a means of transportation that allows its consumers to employ the services of motor vehicles or cars at any time. The study's goal is to collect data on the efficacy of online transportation services by assessing the level of efficiency of online transportation. The questionnaire distribution approach was used to reach 388 University 17 Agustus 1945 Surabaya, utilizing online transportation services. A descriptive quantitative method approach is used in this study with statistical analysis of weighting based on the level of user satisfaction. As a result of this study, the online transportation service has met the expectations of its use where in achieving its effectiveness has already been very good with a service efficiency rate of 82%, but not optimal on the pick-up point precision service. The highest level of efficiency on the safe service variable is applied to the means of transport with an efficiency rate of 84.02%, followed by the safe and easy service variables with the efficiency level value of 83.08%, while the speed variable with the effectiveness level value is 81.08%, on the cost variable charged with the efficacy level of 80.14%, and on the accuracy variable that has the efficiencies level of 77.68%.

The Mediterranean region, in particular Algeria, is experiencing serious challenges due to the increased opportunities for forest fires. Since the mid-1970s, there has been a 50% reduction in rainfall over northwestern Algeria, making northern Algeria particularly vulnerable to the problem for many years. More than 37,000 hectares of sensitive forest are lost every year due to this extreme drought. The findings of this study, which assessed the hazard of forest fires from 2006 to 2019, agree with those of Bentchakal,Chibane (2022), who examined the problems caused by forest fires in the region. The aim of this investigation is to gain a better understanding of the problems caused by local forest fires and to use that expertise to provide insight for the authors and readers of this report. The report was written by presenting the findings of observations made using the Rapid Miner classification approach, which includes the categorization of areas affected by forest fires. Data is collected using a variety of algorithmic techniques, including Naive Bayes, KNN, and decision trees, which are used as tests of data to identify the most accurate results. The findings show that the Decision Tree technique has the best accuracy of 86.49% and provides a thorough explanation of the data.

 Performance appraisal is a way of determining the work results of employees and work groups that are useful if used the right methods on target and produce the desired conclusions according to output targets and performance standards. This research method is qualitative, namely observing performance appraisals that are already in effect with a combination of quantitative and qualitative methods. Quantitative by comparing work standards and output targets. Qualitative is assessed from skills (competence, physical abilities, coordination and teamwork); character (discipline, ability to make decisions and speed of response); and accuracy (supervision, control and the presence of work solutions).  Assessment data from January to April 2019. The time limit was chosen because the performance appraisal had stopped starting in August 2019, and required a remedial analysis. The results of the study show that performance appraisal provides an efficiency of 14% and makes assessments more noticed by all production employees. Methods collaborate in generating a more complete and mature assessment, as well as other suggestions for improvement. And prove that performance appraisal is useful for efficiency and effectiveness, controlling and monitoring performance, and being able to motivate employees to work even better.  

Bitcoin and Altcoin are digital currencies (cryptocurrencies) that use blockchain technology, a technology that can monitor, supervise, record, and record every transaction that occurs in digital currency. Bitcoin is decentralized, meaning it is spread everywhere, not centralized and cannot be regulated by authorities or other institutions. In making transactions, it is very necessary to recognize digital currencies such as identity, core business, projects being developed, volume of demand and supply, and other indicators. The need to find out information about coins/crypto tokens before trading, is a very helpful thing for traders because of concerns about coins/tokens that are indicated as scam or rugpull. Coinmarketcap.com and coingecko are data provider sites related to bitcoin and altcoins around the world, which can help find and analyze related information about tokens/cryptocoins to be traded, but do not guarantee accuracy, but can minimize the occurrence of greater losses. Digital currencies provide business opportunities and loopholes to be able to generate profit from every coin/token traded, but on the other hand these assets are risky for traders and investors due to their high volatility which makes market price movements difficult to predict (unpredictable). To be able to overcome this problem it is necessary to manage finances by taking 10% for trading from the main salary earned, dividing which assets are needed for trading and which are for daily / other living needs and self-control well, when is it time to trade, rest, and when to pause. That way it can save other assets when the other asset is experiencing a decline, so it doesn't disturb the main asset.

The Toba Batak tribe has a distinctive fabric known as ulos. Toba Batak ulos have types depending on their uses. But in the modern era, especially among urban communities, very few people know the types and uses. Motivated by the success of Convolutional Neural Network (CNN) algorithm in image classification, this study will conduct a learning-based approach to classify 5 types of Toba Batak ulos (Ragi Hidup, Ragi Hotang, Mangiring, Sadum, and Sibolang). The process starts from data collection, data analysis, model building, model training, and confusion matrix. The dataset used is 1000 images with 80% training data, 10% valid data, and 10% test data. Convolution, maxpooling, dropout, flatten, and fully connected are the 5 layers forming the CNN model. The optimizer used is Adam with a learning rate of 0.001. The model generated in this study can detect Toba Batak ulos images at an accuracy rate of 94.00%.    

A manufacturing company engaged in the furniture industry, specializing in wood, rattan and glass products. Most of the production orders were related to table products, stands and chests, with a total of 15,224 orders for other products. Based on results of direct observation at PT. Romi Violeta from the production process department says that due to the limited working hours, especially as the production orders for tables, shelves, etc. increase every month, the physical and mental strain employees take to meet their production targets. I often complain about. For commodity products. The purpose of the research is to find cases of high physical and mental stress at manufacturing sites with high stress standards such as tables, shelves, and chests of drawers, and to provide suggestions for improving the reduction of physical and mental stress. . Based on an analysis of the results, the mean cardiovascular load (CVL) percentage was found to be 43.902%, indicating that the assessment needs improvement, and the Bourdon Vielsma test speed result was 12.593 seconds with a score of 7. , a body weight score (WS) of 11.5 is included in the adequate group (C). Accuracy is 3.26, score is 8, fair group (CB) weighted score (WS) is 12, constant is 8.185 seconds, score is 5.5, score is . 8 are in the suspicious (R) group.

The existence of organizations such as Islamic financial institutions that help improve the welfare of society according to their function, namely saving money and providing loan assistance for business capital and comsumtions. There are various types of LKM, one of which is cooperatives. This study aims to determine the..influence of social factors and./personal factors on people’s decisions to use the services of KSU Surya Muhammadiyah, either partially or simultaneously. This Study used a quantitative method using 50 samples taken by purposive sampling method from the KSU Surya Muhammadiyah customer population. Data collection technique were interviews, observation, questionnaires, and documentations. Then, the questionnaires were tested with validity and reliability tests to ensure the accuracy of the questionnaires. Furthermore, classical asumption tests and hypothesis tests were carried out including multiple,,linearregression tests, the coefficient of determination (R2), t-tes, .and F-test. The results of this study are as.follows: (1) social factors have effect on people’s decitions to use services of KSU Surya Muhammadiyah, with a t .count of 2,254 while .t table of 2,012 or t count < t table..and a significance level of 0,026 > 0,05. (2) personal factors influence people’s decitions to use the services of KSU Surya Muhammadiyah, with a t count of 3,093 while t table is 2,012 or tcount > t table and asignificance level of 0,003 < 0,05. (3) social and personal factors simultaneously influence the community’s decition to use the services of KSU Surya Muhammadiyah. Where the sigvalue is 0,000 < 0,005 and F count is 79,385 > F table 3,20. It can be concluded fromthe test results, namely: (1) H1 is accepted,,and H0 is rejected, (2) H2 is a accepted and H0 isrejected, (3) H3 is accepted and H0 is rejected. If the number of customers decreases, it is necessary topay attention tothese factors anything that can influence customer interest in choosing at KSU Surya Muhammadiyah Pematang Kolim Village

The purpose of this study was to describe the effectiveness of sentences in explanatory texts for class XI students of SMA Negeri 5 Sijunjung in terms of structural clarity, logical meaning, frugality of words, standardization of words, and spelling accuracy. This type of research is qualitative with descriptive method. The data in this study were sentences in the explanatory text of class XI students of SMA Negeri 5 Sijunjung, with a data source of 26 explanatory texts written by students of class XI SMA Negeri 5 Sijunjung. The data collection technique in this study is fishing technique. The results showed that of the 250 sentences used, only 79 sentences could be categorized as effective, while 171 sentences could not be categorized as effective. First, there are 271 ineffectiveness in terms of structural clarity. Second, the ineffectiveness in terms of logical meaning, there are 80 sentences. Third, the ineffectiveness of sentences in terms of word-saving, namely as many as 141 sentences. Fourth, the ineffectiveness of sentences in terms of word standardity, namely as many as 96 sentences. Fifth, sentence ineffectiveness in terms of spelling accuracy was found in 152 sentences.  

HIMS as a series of activities that cover all hospital health services at all administrative levels that can provide information to managers for the management process. In carrying out the hospital management information system process, the HOT FIT method is needed. The HOT FIT method is a complete solution that is most suitable for current difficulties or limitations. The purpose of this literature review is to find out how to analyze the application of a hospital management information system using the HOT FIT method. The literature used in this study is to determine the articles that match the inclusion criteria. The data base used is Google Scholar. The year of publication of literature sources taken is the last 5 years between 2018 and 2023, literature sources use English or Indonesian. The results of 5 articles obtained that the analysis of the application of hospital management information systems using the HOT FIT method is by implementing Human (System use, user satisfaction), Organization (Structure, environment), Technology (system quality, information quality, service quality). It can be concluded that the quality of a management information can be assessed from the level of accuracy and level of relevance of the information data. With the HOT FIT method, information can be more relevant and accurate and this information has benefits for its users. It is also Vnecessary for the hospital to improve the quality of the information management system by paying attention to the stages and models used.

The Mobile Community Oke Service Program (LOMAK) is an innovation from the Rumbai District Head in the field of public services which aims to make it easier for people in Rumbai District to get various public services. The LOMAK program itself is a form of integrated sub-district administrative service (PATEN) which is deployed to serve administration in the middle of community settlements or can be said to be an integrated sub-district administrative service around. However, in its implementation the LOMAK Program did not run well. In 4 years the LOMAK Program was only implemented 3 times, while the LOMAK Program should have been implemented once a month. This research aims to evaluate the Mobile Community OK Service Program and the factors that hinder its implementation. The research method used is a descriptive qualitative method and uses policy evaluation theory according to William N. Dunn which consists of several indicators, namely effectiveness, efficiency, adequacy, alignment, responsiveness and accuracy. The results of this research are that the LOMAK Program is a very good program. Of the 6 indicators above, only 1 indicator was not met, namely efficiency in terms of time. The inhibiting factors in implementing the LOMAK Program are natural disasters and the managerial abilities of implementers. Researchers provide suggestions so that implementers can find a backup plan in the event of a natural disaster and increase outreach so that the LOMAK Program can reach all levels of society.

Poetry is part of the literary work taught to students in elementary school or madrasah ibtidaiyah, namely the ability to write and read poetry. Therefore, in order for students to have this ability, it is necessary to have the suitability and accuracy of strengthening the knowledge and abilities possessed by the teacher when poetry is taught. Writing poetry is directed at aspects of comprehension and at linguistic ability and suitability in implementing elements in poetry. Similarly, reading poetry leads to the ability to speak the written language of poetry by involving imagination, intonation, pronunciation, emphasis, and tone. The community service activity aims to provide poetry writing training for students at MI Muhammadiyah Dukuhturi Bumiayu. Service activities are carried out by the method of lectures, discussions, demonstrations, assignments, and mentoring. The steps of community service activities include the preparation stage, the implementation stage, and the evaluation stage. At the stage of implementing the service, it is carried out with 5 stages, namely (1) observation, (2) preparation of training and mentoring, (3) socialization of activities, (4) training and assistance in poetry writing training, and (5) evaluation. At the implementation stage, the implementation of student service activities is carried out in accordance with the activity schedule. The evaluation stage can be used as a benchmark for 85% success indicators and the implementation of activities. Based on the results of dedication, it is known that all students have high motivation and are able to write poems in accordance with intrinsic and extrinsic elements with the chosen poetry theme related to nature.

The purpose of this study was to describe the structure and use of diction in anecdotal texts for class X students of SMKN 1 Kelayang. This type of research is a qualitative research with descriptive method. The data of this study are the structure and diction accuracy of anecdotes. The data source used in this study was anecdotal texts by class X students of SMKN 1 Kelayang for the 2022/2023 academic year. The data collection technique in this study is the fishing technique. Analyzing the research data, namely by means of data reduction, data presentation, and data verification. The results of this study are as follows. First, in writing anecdotal texts, class X students of SMKN 1 Kelayang used the five anecdotal text structures, namely abstract, orientation, crisis, reaction, and coda. Most students are able to write anecdotal texts with a complete structure. However, there are still some structures that students write incorrectly. Second, it was found that the accuracy of diction was more dominant based on writing errors, formation and accuracy of meaning in the writing of class X students of SMKN 1 Kelayang.

Technological developments today make it easy for people to use social media as a means of expressing opinions, including Twitter. The case study taken by the researcher is the sentiment towards the performance of the mayor of Medan. The case was taken because it was widely discussed by Indonesian people, especially the city of Medan on Twitter social media. One of the uses of this research is to find out the trend of Twitter user comments on the performance of the mayor of Medan by conducting a sentiment analysis. Sentiment will be classified as positive, negative and neutral. The algorithm used in sentiment analysis is Naïve Bayes. The stages in conducting sentiment analysis in this study are data preprocessing, data processing, classification, and evaluation. The results of this study are using the SMOTE method, the training and testing ratio is 80:20 because it has the highest accuracy, which is 78% compared to other ratios. The prediction results resulting from the classification turned out to be more dominant towards neutral labels. In addition to classifying for sentiment analysis, this study also measures the performance of the model created. The results showed that the Naïve Bayes algorithm has a precision value of 78%, a recall of 78%, and an f1-score of 77%.

This research is a descriptive qualitative study that aims to analyze the Evaluation of the Implementation of the Non-Cash Food Assistance Program in Tawiri Village, Teluk Ambon District.                 This research was conducted in Tawiri Village, Teluk Ambon Sub-district. Primary data were collected through interviews with a number of informants who were directly involved in the implementation of the Non-Cash Food Assistance Program in Tawiri Village, Teluk Ambon Sub-district.                 The results showed that the implementation of the Non-Cash Food Assistance Program in Tawiri Village, Teluk Ambon Sub-district went well despite the many obstacles encountered. This can be seen from 6 (six) policy evaluation criteria namely effectiveness, efficiency, adequacy, equity, responsiveness and accuracy where four of them have not been implemented optimally. So for the suggestions submitted, namely the need to submit the latest data or government officials must make updates related to Non-Cash Food Assistance for underprivileged people who do not get assistance and consult directly with village assistants, the Government as the organizer is obliged to provide socialization to Beneficiary Families about the Non-Cash Food Assistance Program, the Government also needs to improve administrative data on families who receive benefits.

The research entitled Use of Language in advertisements and broadcasts on TV. The formulation of the problem is (1) How is the use of the variety of spoken language? (2) How is the use of languageseen from the accuracy of the choice of words (diction)? (3) How is the code mixing that occurs in the use of the language, the method used is a qualitative descriptive method. The source of the data used in this research is the oral utterances delivered in broadcast news. Source of data used as research data is news that is broadcast starting from the morning and at night. Technique data collection in this study used the recording method with listening and listening techniques note technique. The results of the research show that (1) the use of speech variety is variety official (2) the use of diction, then 10 of the ten news used is obtained. Of the ten types of accuracy of diction analyzed, the results of the accuracy of the use of diction were obtained, as follows: use of special general words 6, use of words that are almost synonymous 5, use of denotative and connotative words 4, use of words that are similar in spelling 1, use of idioms 1, use of foreign endings 1, and use of continuity word choice 4 found inaccurate word choice. (3) the use of mixing Indonesian code into the language Region is code mixing into (inner code-mixing) due to code mixing carried out between local languages ​​and Indonesian. based on the results obtained the researcher's observation in depth, from the use of the language used is sufficient light what else is the local language and most of the errors found are correct used. Then mix the code that is widely used in broadcast news and advertisements should be avoided because it is news for the area and speak the local language.    

Before the patient is delivered to the operating room, the sign-in action is carried out in the reception room by the health worker before the patient is escorted to the operating table, the sign-in compliance includes identifying the patient, checking the informed consent (consent sheet), checking the surgical site marking, allergy history and supporting examination documents. Every health worker will take action on pre-operative patients in the application of health workers still do not properly identify patients during routine medical / nursing actions, patient identity is mentioned by health workers, health workers do not immediately record and report the results of sign in. This study aims to determine the relationship between sign-in compliance with the accuracy of pre-operative patient identification at Primaya Betang Pambelum Hospital, Method: This type of research is correlational using Cross sectional. The technique of determining respondents using purposive sampling using the Chi Square statistical test. The sample is patients who will undergo surgery at Primaya Betang Pambelum Hospital totaling 109 respondents. Results: The results of the Chi Square statistical test that obtained p value = 0.000 or the level of significance p < 0.05 so that there is a relationship between sign-in compliance with the accuracy of pre-operative patient identification, Conclusion: There is a relationship between sign-in compliance with the accuracy of pre-operaif patient identification as evidenced by the results of p < α with a significant level of 0.05 indicating a significant and meaningful relationship between sign-in compliance with the accuracy of patient identification at Primaya Betang Pambelum Hospital.

The purpose of this study is to find out how the effectiveness of the E-Library of Angkasa Pura II (Elora) in increasing digital literacy at PT Angkasa Pura II (Persero). This type of research uses qualitative methods with descriptive research types. Data collection techniques using the method of observation, interviews, and documentation. The research results were carried out from the theory of program effectiveness according to Budiani (2007:53) with 4 (four) indicators. First, namely the accuracy of the program's targets is appropriate, seen from the exact program targets, which PT Angkasa Pura II is aimed at all employees who intend to increase their knowledge. Second, the socialization of the program cannot be said to be effective as seen from the fact that there are still many employees of PT Angkasa Pura II who have not used the Elora application because the socialization does not vary only through WhatsApp groups and corporate email. Third, the program objectives are appropriate, seen from the Elora application, it really helps employees in terms of increasing digital knowledge and literacy. Fourth, program monitoring has been carried out by the organizing team through monitoring and evaluation. In addition, program monitoring can also be seen at the Management Review Meeting every month, but there is still no follow-up to make improvements as a result of the evaluation carried out.

The rapid growth of e-commerce in Indonesia has generated a massive and continuous volume of product reviews. This user-generated content is vital for business intelligence, yet its sheer scale makes manual analysis inefficient, subjective, and practically impossible. Automated sentiment analysis is therefore crucial for businesses to efficiently understand customer feedback and market perception. This research addresses this gap by implementing the Naïve Bayes Classifier (NBC) algorithm to automatically classify the sentiment of Indonesian-language e-commerce product reviews. This study utilized a dataset of 2,000 reviews collected from a major e-commerce platform's "Electronics" category. The data underwent critical text preprocessing stages (case folding, tokenizing, stopword removal, and stemming using the Sastrawi library) to handle the complexities of informal Indonesian text. The dataset was split using an 80/20 ratio, resulting in 1,600 training reviews and 400 testing reviews. Model performance was then evaluated using a Confusion Matrix, focusing on the key metrics of Accuracy, Precision, and Recall. The test results showed excellent performance, achieving an Accuracy of 90.00%, Precision of 91.93%, and Recall of 95.00%. These results demonstrate that the Naïve Bayes algorithm, when supported by robust preprocessing, is a highly effective, reliable, and computationally efficient method for this task, providing a valuable tool for e-commerce stakeholders.

DDOS (Distribute Denial of Service) is a type of structured attack. This attack has been around since 1990. DDoS attacks are capable of paralyzing servers by flooding network traffic and causing it to go down. To overcome this problem, the way to detect DDoS attacks has several methods and algorithms, one of which is the Artificial Neural Network algorithm and uses the Machine learning method due to the fast computing process, high accuracy, and this research uses the SKKNI research method Number 299 of 2020. The analysis was carried out uses training data from the latest dataset, namely CICIDS2017, which is a development of a previously existing dataset. DDoS attack detection testing using the confusion matrix method obtained bot precision of 0.99, recall of 0.99, and f1score of 0.99, 3

Effective and efficient financial management is essential for the success of UMKM. However, UMKM are often hampered in optimizing their performance and competitiveness due to lack of knowledge and skills in financial management. Therefore, this community service aims to train UMKM in financial management to improve their financial literacy and their ability to utilize skills in business management. This activity uses a participatory approach by involving UMKM in the Bugangan Village area and the method includes theoretical explanations and direct practical assistance. The training materials include basic concepts of financial management and simple financial report analysis. The results showed that participants had a better understanding and skills to manage business finances more effectively. In addition, participants also reported increased time efficiency and accuracy of financial records after the training was implemented. Thus, this program is expected to help UMKM become more adaptive to the demands of the digital era and contribute to sustainable local economic growth.