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This research aims to develop a web-based school management information system that can improve the efficiency of education administration. In today's digital era, many schools face challenges in effective data and information management. This research uses a Systematic Literature Review (SLR) approach to identify and analyze relevant literature related to the development of web-based school management information systems. The results showed that the development of a web-based school management information system is generally able to improve the efficiency and effectiveness of education administration management, starting from data processing of students, teachers, finances, to reporting. The system supports transparency, speed of access and accuracy of information within the school environment. Although the results show consistent benefits, this research still has limitations in the number of sources and a relatively narrow study, so a broader and more in-depth follow-up study is needed.

Digital learning applications like HeyJapan are increasingly popular. User reviews on platforms such as Google Play Store contain valuable information on user perceptions and experiences. To process this information systematically, this study employs a Natural Language Processing (NLP) approach to analyze sentiment toward the HeyJapan application. Data was collected using web scraping techniques with Python and the google play scraper library, resulting in 1,000 latest user reviews. The analysis included data collection, preprocessing, sentiment labeling using TextBlob, visualization, modeling with Logistic Regression, and evaluation. After preprocessing, 923 valid reviews were classified into three sentiment categories based on polarity which are positive, neutral, and negative. Results showed 71.4% of reviews positive, 26.1% neutral, and 2.5% negative. Visualizations in pie charts and word clouds provided an overview of user perceptions. Modeling with TF-IDF and Logistic Regression achieved 88% accuracy with the highest f1-score in the positive sentiment category. Evaluation indicates the model is fairly reliable in classifying sentiments, especially for positive and neutral categories, though negative sentiment classification needs improvement. This study shows the NLP approach can evaluate user perceptions of educational applications based on reviews and serve as a basis for improving foreign language learning app quality.

The rapid development of information technology has had a significant impact on the pattern of collecting, processing, and storing personal data in the digital era. However, this progress is also accompanied by an increasing threat of cybercrime, one of which is phishing attacks. Phishing is a digital fraud mode that aims to obtain personal data illegally through social engineering and manipulation of electronic systems. This study aims to analyze the form of legal protection for phishing victims in the perspective of Law Number 27 of 2022 concerning Personal Data Protection (UU PDP). Using normative legal methods and conceptual approaches, this study examines the role of state authorities such as the National Cyber and Crypto Agency (BSSN) and the Directorate of Cyber Crime (Dittipidsiber) of the National Police Criminal Investigation Unit in the procedures for handling and prosecuting phishing. The results of the study show that although the PDP Law has provided a clear legal framework, its implementation still faces challenges in technical aspects, institutional coordination, and public digital literacy. Therefore, strong synergy is needed between regulation, supervision, and public education to realize effective and sustainable personal data protection in the digital era.

Handwritten digit recognition is one of the key challenges in the field of digital image processing and artificial intelligence, with significant potential in various applications such as automatic form input systems, handwritten data correction, and attendance systems based on handwriting. This study aims to develop a web-based information system capable of automatically recognizing handwritten digits using the K-Nearest Neighbors (KNN) classification method. The system is designed through several main stages, including image preprocessing (conversion to grayscale, thresholding, and image size normalization), feature extraction using the zoning technique, and classification using the KNN algorithm. This research utilizes the MNIST dataset, which contains thousands of handwritten digit images ranging from 0 to 9. The system is developed using the Google Colab platform, supported by Python libraries such as OpenCV, NumPy, and Scikit-learn. Test results show that the system can achieve an accuracy of over 90% at certain K values, indicating that the KNN method is quite effective and efficient in recognizing handwritten digit patterns. This system is expected to be applicable for various digitization needs of handwritten numbers in education, administration, and information technology sectors

The purpose of this research is to design a basic food sales information system at Misman Store to assist the performance of Store employees in processing data and selling basic necessities which still use a manual recording system in managing stocks and transactions in the store, which causes inefficiencies in monitoring inventory of goods. Research using qualitative methods with data collection techniques through observation, interviews, and literature studies. The results of the study, among others, make it easier for employees at misman shops to complete the main tasks of selling goods such as data management to be easier, more efficient, and effective with this system. sales and sales transaction reports. The designed web-based information system has several main features such as system login, dashboard, item category management, inventory management, and transaction recording and reporting. This system is designed to improve the efficiency of store operations and facilitate the management of goods data and sales transactions.

Immigration services are a crucial part of public administration, playing a significant role in population mobility and immigration permit management. Evaluating public satisfaction with immigration services is essential to ensure optimal service quality. This study aims to analyze the level of public satisfaction and the key factors contributing to satisfaction with services at the Class I Special Immigration Office TPI Surabaya. A quantitative approach with a survey method was used to collect data from 1937 respondents who had received immigration services. Data analysis was conducted using the Public Satisfaction Index (IKM) technique and factor analysis with IBM SPSS 26 to identify dominant variables. The results indicate that immigration services received a high IKM score, though certain indicators require improvement, such as procedural clarity, processing time efficiency, and infrastructure. Factor analysis reveals that information availability, service fees, and officer responsiveness are the primary factors influencing public satisfaction. Based on these findings, enhancing service transparency, digitizing administrative processes, and optimizing the complaint management system are recommended strategies. The implementation of data-driven service improvements is expected to enhance immigration service quality and strengthen public trust in immigration institutions.

This study aims to analyze the influence of the Sales Accounting Information System and the Cash Receipt Accounting Information System on Internal Control at PT Alfa Scorpii, Bilal Branch. The population in this study was 38 employees, with a sampling technique using the census method, so that the entire population was used as a research sample. The approach used in this study is quantitative associative, with data analysis techniques using Multiple Linear Regression Analysis. Data processing was carried out using SPSS version 23. The results of the study indicate that the Sales Accounting Information System has a partial positive effect on Internal Control. In addition, the Cash Receipt Accounting Information System also has a partial positive effect on Internal Control. Simultaneously, the Sales Accounting Information System and the Cash Receipt Accounting Information System have a positive and significant effect on Internal Control.

The rapid advancement of information technology has had a significant impact in various fields, particularly in pattern recognition and image processing. One of the ongoing challenges is accurately recognizing handwritten digits, which plays a crucial role in document digitization, automated form reading, and other intelligent systems. This study aims to implement and evaluate the K-Nearest Neighbors (KNN) algorithm, a simple yet effective classification technique, in recognizing handwritten digit images. The data used comes from the public dataset load_digits from Scikit-learn, which contains 1,797 grayscale images of handwritten digits sized 8x8 pixels. Each image is represented as a 64-dimensional feature vector. The dataset is split into training and testing data with an 80:20 ratio, and the model is trained using KNN with k=3. The experimental results show a classification accuracy of 96.94%, with minimal prediction errors that typically occur in digits with similar visual shapes, such as 5 and 9. This study demonstrates that KNN, despite its simplicity, can provide high accuracy in handwritten digit recognition when supported by proper preprocessing and parameter selection. The implications of this research highlight the potential for developing intelligent applications in education, data entry automation, and identity verification.

The study sought to find the effect of E-administration in its various aspects on functional performance in the University of Misan/ College of Law. The target population was all members of the College of Law, N=40. The questionnaire was used as a tool for data collection, and distributed to the research groups, of which 33) questionnaires were collected and statistically analyzed. Data Processing and Analysis The SPSS 26 software was used to process and analyze the questionnaire information to calculate the arithmetic mean, standard deviation, correlation coefficient, and impact coefficient. One of the very significant findings was that "there is a statistically significant relationship between the research variables, and this will lead to satisfactory results that would contribute to solving and handling the problems which the researched college may encounter. At the end of the research, it was concluded that the recommendations which was concluded for the need for (Continuous Updating of the Software of Electronic administration systems according to the needs of work).

Technology that develops very rapidly brings many changes, especially in the development of medical records in hospitals that are increasing. Electronic medical records bring many benefits, one of which is improving the quality of services in hospitals. The medical records used at Hermina Arcamanik Hospital are mostly electronic-based, including reporting. However, problems were found in the medical record installation, namely, there were several reports that had not been managed optimally. This is because reporting still uses google spreadsheets which requires data to be moved manually one by one, so it takes a long time, and the quality of reporting becomes less accurate. A real example of this problem can be seen in the process of reporting patient Mortalitys. Meanwhile, accurate and systematic reporting of Mortality data is essential in supporting decision-making in hospitals. Therefore, the design of a patient Mortality reporting information system is urgently needed to make time efficient and improve the quality of reports. The method used in designing this system is extreme programming and web-based. The results of this information system design are able to shorten the time to make Mortality reports and can produce accurate data

Listening ability is one of the basic language skills that is important in supporting the learning process of students in elementary schools. However, in practice, students still have difficulty in capturing information from listening materials, especially when learning is carried out conventionally without the support of interesting media. This study aims to analyze the ability to listen to information from audio media in grade VI elementary school students with a qualitative approach using the case study method. The steps of the case study method are determining the focus of the study, literature, determining the case, data processing, data analysis, negotiating the results of the study, and conclusions. The subjects of the study consisted of five students who were analyzed based on their answers to five thematic audio media-based listening questions. The results of the study showed that students were able to understand the contents of the story, recognize characters and traits, and capture moral messages from the listening materials. However, there were still shortcomings in the aspect of regularity in reorganizing information and in-depth understanding of the character of the character. The novelty of this study lies in the analytical approach based on mapping student difficulties and the use of audio media that is relevant to everyday life, which has been proven to increase students' imagination and involvement in listening activities. This study recommends the use of audio media in a varied and contextual way in learning Indonesian in elementary schools.    

The use of information technology is increasingly used by companies to manage the distribution of goods in a more effective and responsive way. This study aims to analyze the warehouse administration system at the Facility, Workshop and Safety Development Department at PT United Tractors Tbk. This study uses a qualitative method by collecting data through primary and secondary sources. Primary data sources are obtained through interviews, observations and documentation, while secondary data sources are obtained from journals, books or articles that discuss the warehouse administration system in a company. This study was analyzed using a descriptive method with data analysis techniques consisting of 4 (four) aspects starting from data collection, data reduction, data presentation to drawing conclusions. The results of the study indicate that by using Systems, Applications and Products in Data Processing (SAP) S / 4 HANA as a supporting facility from demand to distribution of goods and implementing the applicable System Operating Procedures (SOP) can increase the effectiveness of the department in meeting the needs that exist in the company's branches or sites so that the company's productivity is maintained. To overcome errors in the use of applications and human error in administration, this department needs to conduct training for employees to ensure that employees are able to use applications and implement System Operating Procedures (SOP) properly.

Ports are critical infrastructure in maritime transportation, facilitating the movement of goods and people while serving as hubs for economic activities. The Tanjung Pakis Class III Harbormaster and Port Authority Office (KSOP) utilizes the Electronic Reporting Information (SIRANI) application for reporting loading and unloading data. However, challenges such as discrepancies, technical disruptions, and delays in data processing often arise. This study aims to describe the loading and unloading data processing and the efficiency of reporting time on the SIRANI application at KSOP Class III Tanjung Pakis. Employing a descriptive qualitative approach through interviews, observations, and documentation, the research finds that data processing is less effective due to low data validity and errors in the Inaportnet platform. Reporting to SIRANI is also inefficient due to delays in data handling and technical issues with the application. Corrective measures, such as early data verification and manual data handling by reporting officers, have improved effectiveness by reducing the process from five to three steps and cutting reporting time from 6 hours to 3 hours and 30 minutes. The study concludes that optimizing data processing and inter-unit coordination can enhance the effectiveness and efficiency of reporting. Recommendations for future research include real-time integration and the development of backup mechanisms to address technical disruptions.

Madrasas and Islamic boarding schools are Islamic educational institutions that have a strategic role in shaping the character, morals, and competencies of students. In addition to carrying out the formal learning process, these two institutions are also centers for moral, spiritual, and social development. In their operations, madrasas and pesantren manage various administrative activities, such as student data collection, attendance recording, grade processing, teacher data management, lesson schedule preparation, and delivery of academic information to related parties. However, many institutions still use manual systems that rely on notebooks or separate applications that are not integrated. This condition poses a number of obstacles, including the high risk of recording errors, duplicate data that is difficult to track, the slow process of recapitulation of grades and attendance, and delays in the delivery of academic information. In addition, manual processes cause administrative management to be less efficient and prone to data loss. As the need for fast, accurate, and accurate information increases, technological solutions are needed that are able to integrate all administrative and academic processes in one centralized system. Web-based information systems are an effective alternative to improve work efficiency, minimize errors, and facilitate access to information for teachers, students, and guardians. With the implementation of a well-managed system, madrasas and Islamic boarding schools are expected to improve the quality of services and support a more modern, structured, and sustainable learning process.

Healthcare Information Systems (HIS) play a critical role in modern medical services by improving patient data management, clinical decision-making, and overall healthcare efficiency. However, existing HIS models face challenges related to interoperability, security, and processing efficiency. This study conducts a systematic literature review to evaluate cloud-based, blockchain-enhanced, and AI-driven HIS solutions. The proposed hybrid HIS model integrates AI-driven decision-making with blockchain-based security to enhance accuracy, interoperability, and data protection. The evaluation metrics include accuracy, latency, and security score, comparing the proposed system with state-of-the-art HIS implementations. Experimental results indicate that the hybrid HIS model achieves 93.4% accuracy, a security score of 0.90, and reduced latency (220 ms), outperforming traditional cloud-based and standalone blockchain solutions. These findings demonstrate that a hybrid approach balances efficiency and security, making HIS more practical for real-world applications. Future research should focus on real-world deployment, computational cost reduction, and regulatory compliance.

The plan to offer birth control to teenagers, outlined in Government Regulation (PP) No. 28 of 2024, has sparked different responses in the public, especially on social media sites like Twitter. This research intends to look into how people feel about this plan by using the Naïve Bayes Classifier technique. Information was gathered from Twitter by using data collection methods with the snscrape tool and the Python coding language. A total of 1,000 tweets related to the topic of the policy were gathered and went through initial processing steps like cleaning, breaking into words, changing cases, and removing common words. The Naïve Bayes Classifier technique was employed to sort the public's feelings into three groups: positive, negative, and neutral. The findings showed that half of the tweets (50%) had a negative view on the policy, while 35% had a positive outlook, and 15% were neutral. The accuracy of the method used was 78%, with a precision of 74%, a recall of 79%, and an F1-score of 76%. The findings from this research offer a summary of how the public feels about the birth control policy for teenagers, which can help the government assess and create policies that better meet the community's needs and worries. Additionally, this research highlights how well the Naïve Bayes Classifier method works for analyzing sentiments on social media, even though there are some challenges when it comes to understanding language subtleties like sarcasm.

This study investigates the interplay between linguistic relativity and cultural schemata, examining how language encodes culturally salient concepts and shapes cognitive frameworks across diverse communities. Through ethnographic and psycholinguistic approaches, the study collects data from 12 different language communities with varied cultural backgrounds. Cross-linguistic and cross-cultural analyses reveal significant correlations between linguistic structures—such as grammatical categories, lexical distinctions, and metaphorical expressions—and culturally specific schemata in spatial, temporal, and social domains. Perception and cognitive reasoning experiments were conducted with 450 participants to test linguistic relativity hypotheses in cultural contexts. Quantitative and qualitative findings demonstrate that linguistic patterns both reflect and reinforce cultural norms, influencing perception and cognitive strategies. Analysis of cultural text corpora shows how linguistic categories serve as vehicles for internalizing cultural values and worldviews. Specifically, the study finds systematic variations in spatial information processing, time conceptualization, and social event interpretation that correlate with language features of respective communities. These results underscore the co-constitutive relationship between language and culture in shaping human thought, providing important implications for cross-cultural education, intercultural communication, and cognitive theory.

The release of medical information is the process of disclosing or sharing information about a patient's health condition, medical history, or medical examination results with other parties. Due to the sensitive nature of the information contained in medical records, healthcare providers are obligated to ensure that all information is appropriately accountable. This study aims to explore the work activities of medical record officers and health information management in the process of releasing medical information to insurance parties at Tarakan Regional General Hospital (RSUD Tarakan). This research uses a descriptive method with a qualitative approach by explaining the results of interviews regarding the work activities of medical record officers and health information management in the process of releasing medical information to insurance parties. RSUD Tarakan already has standard operating procedures related to the release of medical information, both to insurance parties that cooperate and to those that do not cooperate. In the work activities of the officers, the stages of data collection for insurance types, the request flow stage, data collection stage, data processing stage, and data presentation stage involve the insurance services and fundraising departments in the release process for cooperating insurance parties. Meanwhile, the medical records department and the information department are only involved in the release of medical information to non-cooperating insurance parties. The challenges in releasing medical information to non-cooperating insurance parties include the lack of requirements provided by patients, as they are often unaware of the necessary documents and the process for requesting the release of medical information, which can cause delays in the process.

The development of the business world relies on technology information Already become absolute thing.​ His height activity data transactions and exchange information in online communication media and the internet is one technology For overcome activity everyday life in the era of globalization moment This. CV. TYTUS FURNITURE SEMARANG is A moving company​ in field Furniture sales , such as : table chair room visitor . Problem sale CV products. TYTUS FURNITURE SEMARANG is limitations consumer in obtain information product , type product , price product , because consumer must come direct to company or waiting for sales to come give information about company , so No can save time and costs , turnover sale not enough in accordance hope , not yet exists processing sales and consumer data reports in a way fast and efficient. For that's system very online sales required moment This For develop something company , because system the present For give real solution​ Where system the online sales can fulfil need will transaction business online with​ easy and fast with using a MySQL database with Language PHP programming . System information This capable give information product to consumer online , and can give information products sold​​​ to consumer . Based on background behind problem above , then writer take title "WEB-BASED GOODS ORDERING INFORMATION SYSTEM ON CV. TYTUS FURNITURE SEMARANG.”    

Ambarawa Regional General Hospital (RSUD) is a Public Service Agency Regional (BLUD) belonging to Semarang Regency which operates in the field of public health services. Ambarawa Regional Hospital is located at Jalan Kartini No. 101 Ambarawa. So far, inventory data processing. At the Ambarawa Regional General Hospital (RSUD) it is still processed manually, there are several problems. What often arises is not knowing the depreciation value of goods each month, not yet applying it database system and low inventory data security system. The author used 3 research methods for data collection in this research, namely observation, interviews and literature study. The observation method used by the author is by carry out direct practice on problems that occur. Interview conducted by the author with the employees concerned, while in the literature study the author looked for related literature with research and used as a theoretical basis. From the analysis and research results, it can be seen that the solution to the problem above is: create an Inventory Data Recording Information System that uses a programming language Microsoft Visual Basic 6.0 and Microsoft SQL Server 2000 database processing system. Procedures will consist of p5 main parts, namely inventory data collection, room data collection, inventory item placement transactions, inventory item mutation transactions and line method depreciation straight. This system is expected to increase the effectiveness of inventory data processing in hospitals Ambarawa Regional General Hospital (RSUD).