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Geographic Information Systems (GIS) have become essential technological tools for collecting, storing, processing, analyzing, and visualizing spatial data to support various human activities. The rapid advancement of information technology has significantly expanded the use of GIS, particularly through web-based platforms and mobile applications, enabling wider accessibility and real-time data utilization. This study focuses on analyzing the utilization of GIS applications and websites across multiple sectors and their contributions to improving efficiency, accuracy, and decision-making processes in daily life. The main objective of this research is to identify, evaluate, and synthesize recent developments in GIS implementation through a systematic literature review. Scientific articles were collected from reputable international and national journals published within the last five years (2018–2022). A total of 130 international journals and 100 national journals were initially identified through database searches. After applying relevance screening and inclusion criteria, 33 selected articles were analyzed in depth to extract key findings, application trends, and potential research gaps. The results show that GIS applications and web-based systems play a vital role in supporting various sectors. In education, GIS facilitates spatial mapping for industrial internship placement (PRAKERIN) and school zoning management. In healthcare, GIS assists in mapping healthcare facilities, including pharmacies and hospitals, to improve service accessibility. In transportation, GIS-based systems provide route planning, traffic monitoring, and public transport information to enhance mobility and reduce congestion. GIS applications are also increasingly applied in environmental monitoring, disaster management, urban planning, and natural resource management. Overall, this study emphasizes the growing importance of GIS technologies as strategic tools for data-driven decision-making and sustainable development. The findings are expected to provide valuable insights for researchers, practitioners, and policymakers in optimizing GIS-based solutions to improve public services and quality of life.

Abstract. This study presents a web-based system for identifying traditional herbal leaves using K-Nearest Neighbors (KNN) and image processing techniques focused on analyzing leaf shape and color. The dataset used consists of images of various types of herbal leaves, providing a basis for classification and medicinal benefit information retrieval. The system was tested with multiple leaf samples to assess accuracy, speed, and effectiveness in identifying leaf types based on visual characteristics. Results show that the system can recognize different types of herbal leaves and display information on their medicinal properties in a user-friendly interface..

The design of a village fund assistance information system using the C4.5 algorithm aims to optimize the selection process for prospective aid recipients at the Ogan Ilir Regency Social Service (DINSOS). Currently, the village fund assistance selection process often takes a long time and is prone to inaccuracy and unfairness due to the limitations of the manual system. The C4.5 algorithm was chosen to build an effective decision tree in classifying based on predetermined criteria, such as income, number of dependents, employment, housing status, and expenses. By utilizing the Gain or Gain Ratio value of each attribute, the C4.5 algorithm is able to produce a clear decision tree, which makes it easier for DINSOS to make decisions objectively and transparently. This information system is designed with an easy-to-use user interface and a structured database to facilitate the management of aid recipient data. The results of the implementation of this system show increased accuracy in determining prospective aid recipients and time efficiency in data processing, thus supporting efforts to evenly distribute village fund assistance in Ogan Ilir Regency in a targeted manner.

Microsoft Word is word processing software that is widely used to create text documents. The table creation and column arrangement features in Microsoft Word are very useful in presenting structured data and preparing text layouts that are easier to read. Tables are used to display data in the form of rows and columns, making it easier to compare, group and organize information that requires a neat and structured format. Meanwhile, the column feature in Microsoft Word allows dividing text vertically, which is often used in documents with article, bulletin or newspaper formats, thereby increasing document readability.This writing examines the basics of using tables and columns, from how to create them to setting column widths, spacing between columns, and using various layout formats in tables. Apart from that, table integration techniques in multi-column documents and vice versa are also discussed, to increase the effectiveness of conveying information. This study aims to help users make optimal use of these features, with an approach based on the principles of information design and text readability. By understanding and mastering this technique, users are expected to be able to produce documents that are more professional, informative and aesthetic.

This study uses a descriptive method with a quantitative approach to analyze the numeracy literacy ability of grade XII IPS-6 students at SMAN 1 Mojosari. The sample consisted of 34 students who were selected using the purposive sampling technique. This research began with the identification of the problem of low numeracy literacy in mathematics. A numeracy test in the form of 8 story questions related to statistics is given as a pretest to measure students' abilities. The data was analyzed using statistical tests with the help of SPSS to test the validity, reliability, and results of the pretest. The results showed that 73.53% of students were in the advanced category, and 26.47% of students were in the capable category. Students are able to do histogram-shaped problems well, but have difficulty in presenting data in polygon form. These findings support previous research that states that students often have difficulty processing information from graphs and tables. Other factors that affect students' ability to flip

The faster economic development in the world causes tighter business competition. Plus the rapid progress of increasingly sophisticated technology. Many companies are currently competing to use technology to increase performance efficiency advantages in other companies and competition. Information technology that is quite popular in the current generation is System Application and Product In Data Processing (SAP). SAP is a system that runs a business using one database which can then be accessed by all departments in the company. This research aims to provide evaluation and input on the problems faced by SAP admin sales users at PT Bina Pertiwi Surabaya Branch. In this research, a qualitative approach was used by conducting interviews with resource persons from the administration department and Branch Administration Supervisors using a fishbone diagram. The results of the evaluation of the implementation of the admin job description for sales rental administration and units using SAP are quite good, but there are still problems caused by discrepancies between the actual cash in and the cash in plan, so AR monitoring must be carried out.

Leguminous plants are plants with high protein and nutrient content, especially the protein content. Leguminous plants can grow anywhere but these plants have not been widely utilised by farmers. Some information related to leguminous plants is expected to help farmers overcome feed in the dry season. The information was obtained by reading and analysing literature and data from various research libraries that have been published in accredited journals. Tree legumes include indigofera, lamtoro, turi, gamal, and kaliandra. Indigofera plants have a crude protein content of 29.16%, while lamtoro, turi, gamal, kaliandra and Moringa are 23.8%; 31.29%; 22.6%; 25%; and 25.77% respectively. The nutrient content is supported by high productivity, where the production of indigofera, lamtoro, turi, gamal, and kaliandra can reach 4.096 tonnesBK/ha/year; 8.1 tonnes/ha/year; 2-3 tonnes/ha/harvest; 62.76 tonnes/ha/year; and 2-3 tonnes/ha/year, respectively. Despite its potential as animal feed, the plant needs further processing to reduce the anti-nutrients contained and increase its palatability so that livestock productivity increases.

Follow-up on Land Objects for Agrarian Reform (TORA) is the government's venture to ensure that agrarian reform is by the national target, appropriate with the National Medium Term Development Plan (RPJMN) 2020 – 2024 and provides a real positive impact on society. The aim of accelerating TORA follow-up in the Riau Islands Province is to relieve existing obstacles in implementing agrarian reform and land distribution so the utilization will be fairer. The Structuring and Empowerment Division of the Riau Islands Province National Land Agency Regional Office has the idea of accelerating TORA follow-up by processing TORA data which is superimposed with data resulting from IP4T activities from 2020-2024; obtaining field data through P4T data collection at TORA locations that have not been certified and have never carried out IP4T activities; and obtaining data on potential asset legalization and potential access to reform that can be developed to support community welfare. The results will be discussed by relevant stakeholders to produce spatial information on potential asset legalization that will be carried out in the future, information on potential community land empowerment activities in the area of forest release, and actions that can be implemented to support Agrarian Reform activities.

Everyone is very curious about each other and what is happening around them, even though they are far apart. In this case, people need communication. Communication occurs through various means, including through mass media. The advantage of using mass media is that the number of target groups or communication methods that can be reached is relatively large and unlimited. There are several important aspects to consider in content marketing, namely the quality and topics that will be of interest to your readers/viewers must be highlighted through their communication and creation strategies. Strategy is also called tactical conclusion in the sense of how to achieve or further achieve a desired goal. Lifestyle in communication provides a view in utilizing existing facilities. Through communication, we can gain meaningful insights and information. How to convey existing messages and contribute to the delivery of existing messages via the Internet. The problem in this thesis is how the communication strategy of content creators / creatives in improving, developing ideas and concepts of brand image through social media Instagram EF Bintaro Sector nine (Case study on @ef_bintarosectornine account). The research design used in this paper is descriptive qualitative research design. Qualitative research focuses on various methods and includes an interpretive and naturalistic approach to the subject matter. Qualitative research can use various data analysis processing methods to obtain data from various sources and run continuously. The results of the study show the Communication Strategy of Content Creators in Improving EF (English First) Instagram Brand Image. From the results of research and discussion, it is known that EF (English First) is an English language education institution built for children to adolescents and EF (English First) is also a place for learning English and creating creative content that can be trusted in the credibility of its content. from the strategies made by EF (English First) content creators with the aim of developing brand image through social media instagram. Based on the results of the discussion in the role of communication according to Effendy (Effendy, 2019), in this theory there are two indicators that researchers apply, namely Attractiveness and Source Credibility.

This research is motivated by a lack of knowledge about sexual education and gender issues in early childhood, especially elementary school (SD) students. Sexual education and gender issues are also topics that are currently still hotly discussed and continue to be an important concern in society. Many parents and local communities still consider sexual education to be taboo for young children, especially elementary school (SD) students. The aim of this research is to find out how to change students' views about gender through comprehensive sexual education, to find out sexual education learning methods, and to find out the role of teachers and parents in supporting the success of comprehensive sexual education. This research is based on literature study, namely a series of activities related to collecting library data, reading and taking notes, and processing research materials. The results of this research show that comprehensive sexual education can be a very important tool in changing elementary school students' views regarding gender by providing detailed and comprehensive information. Effective learning methods in teaching comprehensive sexual education are lecture, discussion and question and answer methods. The role of parents in supporting the success of comprehensive sexual education is that parents are ready to provide sexual education to their children, providing role models and guidance, accepting questions from children and providing appropriate responses, emphasizing always respecting privacy. Meanwhile, the role of teachers includes as instructor, guide, mediator and evaluator.

Quality of Public Service in Issuing Birth Certificates at the Population and Civil Registration Office of Gorontalo City. Undergraduate Thesis. Bachelor's Degree Program in Public Administration, Universitas Negeri Gorontalo. The Principal Supervisor: Dr. H. Rosman Ilato, M.Pd. The Co-supervisor. Dr. Irawaty Igirisa, M.Si. This study aims to evaluate and analyze public service quality in issuing birth certificates at the Population and Civil Registration Office of Gorontalo City. The study was conducted by assessing the service through the dimensions of tangibles, reliability, responsiveness, assurance, and empathy. Furthermore, it was conducted using a qualitative research method, utilizing observation, interview, and documentation data collection techniques. The findings reveal that the overall quality of public service, specifically within the Population and Civil Registration Office of Gorontalo City, assessed across five dimensions, are as follows: Tangibles are found to be lacking in facilities and infrastructure, such as seating, parking space, additional computers, and other informational media beneficial to the public. Reliability is noted as a concern, as staff are unable to provide accurate timelines for document processing. Responsiveness is adequate, with staff demonstrating a responsive attitude toward serving the public. Assurance remains suboptimal due to issues with service timeliness, and empathy is adequately demonstrated, with staff maintaining courteous interactions. Based on this analysis, it can be concluded that the quality of public service in the issuence of birth certificate at the Population and Civil Registration Office of Gorontalo City is not yet optimal. The researcher suggests that future improvements in facilities and infrastructure, along with enhanced staff performance, will lead to more efficient and reliable document issuance, reducing the need for repeated follow-ups by the public.

Integrated Service Posts (Posyandu) are important facilities for monitoring children's nutritional growth and development, but there are still many posyandu that use manual methods for recording data. This results in obstacles such as inaccurate data, delays in decision making, and difficulty in accessing information. To overcome this problem, the E-Posyandu information system was implemented at the Posyandu, Mojosongo Village, Surakarta. E-Posyandu is a digital platform designed to facilitate automatic and structured recording, storage and processing of children's nutritional data. This research aims to examine the effectiveness of implementing the E-Posyandu system in improving monitoring of children's growth and nutritional status in Mojosongo Village. By using this technology, the monitoring process becomes more efficient, data is easier to access, and the potential for recording errors can be minimized. Apart from that, this system also offers reminders and notification features to parents regarding the posyandu schedule and necessary health measures.The results of the implementation show an increase in the accuracy and speed of collecting child nutrition data, as well as increased parent participation in monitoring their child's health. It is hoped that E-Posyandu can become an innovative model to be applied in other posyandu in Indonesia.

Abstract Databases stored on storage media are rarely used by most of their users and even within a certain period of time the data is deleted because it is considered trash and only fills up the storage media. This assumption is not entirely true, because in fact a large database can provide the information needed for various interests, both for business interests in making decisions and for science and research. The development of information and communication technology in this era often called the millennial, information and communication technology is also increasingly advanced and developing and cannot be avoided. Where the development and progress of information and communication technology is growing very rapidly, such as the need for data processing which is increasing every day and if left alone, the data will be useless. By using the Text Mining technique, the classification method, a sentiment will be known to be positive, neutral or negative. One of the algorithms widely used in sentiment analysis is the Naïve Bayes classification method. This study uses the Naïve Bayes Classifier (NBC) method with tf-idf weighting accompanied by the addition of an emotion icon conversion feature (emoticon) to determine the existing sentiment class from tweets about Agu Ate Store. The results of the study show that the Naïve Bayes method without additional features is able to classify sentiment with an accuracy value of 96.44%, while if the tf-idf weighting feature is added along with the emotion icon conversion, the accuracy value can be increased to 98%.

The current administration system for apartment buildings in Pontianak city still relies on manual data recording methods, which tend to cause various recording errors such as delays in data processing, incorrect data entry, and difficulties in accessing information. This condition has an impact on suboptimal service to apartment residents. As an alternative to address this problem, it is proposed to develop a web-based information system that can digitize data from various business processes in apartment management. This system is designed using the Laravel framework, a popular framework for web application development. The stages in this community service include in-depth analysis of system requirements that are suitable for the conditions of apartment buildings in Pontianak city, designing a user-friendly and efficient system, building the system based on the design that has been created from manual form recording, and conducting training for apartment managers to be able to operate the system well. This technology transfer has a positive impact on the change in the administration model and it is expected to create more effective and efficient apartment management and is easily accessible because it is online. Some other benefits that occur include increased accuracy of resident data, ease of accessing information, data transparency, and improved service quality for residents

Background꞉ One of the most crucial aspects of a child's development is their dental health. Children with special needs, including those who are deaf, are particularly vulnerable to dental and oral health issues. The limitations of children with hearing disorders lead to cognitive processing disorders, which affect the child's ability to receive, store, and communicate information. Methods꞉ the population used. Data was gathered by having participants complete a checklist-based questionnaire about their knowledge about brushing their teeth. Direct examination was used to gather information on dental and oral hygiene, and the OHI-S score was visible. The dates of this investigation were May 7-8, 2024. Thirty persons participated in this study as respondents. Result꞉ that this study indicates the relationship between brushing knowledge and dental and oral hygiene. with the value (P=0.001) ἀ ≤ 0, 05. Consclusion꞉ The conclusion of this study shows that this study indicates the relationship between brushing knowledge and dental and oral hygiene.

This study aims to determine compensation moderating the influence of service quality of educational staff on student satisfaction at Serang Raya University. The form of research used is descriptive and quantitative research. Descriptive research is a form of research that aims to describe existing phenomena, both natural phenomena and man-made phenomena. The population in this study were 100 educational staff respondents and 100 student respondents at Serang Raya University. Then, data processing used the SmartPLS 4.0 application. The results showed that the interaction of compensation variables had a positive but insignificant effect on service quality of 0.184 with a p-value of 0.063 (> 0.05 ) . The interaction of service quality variables had a significant positive effect on student satisfaction of 0.915 with a p- value of 0.000 (<0.05) and the interaction of compensation variables in moderating service quality on student satisfaction had a positive but insignificant effect of 0.048 with a p-value of 0.373 (> 0.05). The study was conducted at only one institution (University of Serang Raya), so the findings may not be generalizable to other organizations. The findings of this study have the potential to lead to the development of a new theoretical framework that incorporates the moderating effect of compensation on the relationship between service quality and student satisfaction. This framework can provide a more comprehensive understanding of how compensation affects student satisfaction in educational settings.

Cases of biological food poisoning can be caused by several causative factors, one of which is a food processing site that does not meet health requirements. According to the BPOM report (2016) cases of food poisoning in Indonesia in 2016 reached 1,068 cases. In 2016, 60 extraordinary events (KLB) of food poisoning were reported by 31 BB/BPOM throughout Indonesia. From the many cases of food poisoning that occur, it is necessary to take action in prevention by processing data on existing cases of poisoning to follow up on existing problems to reduce the number of cases of food poisoning by using a system on a computer so that the managed data can be processed quickly to obtain further information. Therefore the author wants to use a system with the clustering method to assist in processing data on biological poisoning cases grouping objects based on the characteristics of each object. Based on the research conducted, it can be seen that in cluster 2 in the dasta group of biological poisoning cases there are 11 data with centroid point age (x) 2, namely 12-16 years, centroid point on the type of poisoning (y) 6.36, namely sandwiches, and centroid point on the causative factor (z) 2.9, namely Gram-negative rod-shaped bacteria which are usually found in the intestines of humans and warm-blooded animals.

Pondok Baru Furniture Store located in Makamhaji Kartasura is a business that operates in the field of manufacturing and selling furniture. There are problems in managing sales transaction data, stock of goods, and sales reports which still use manual methods, sometimes resulting in errors in recording. The current purchasing system which requires coming to the shop to see and buy the products being sold is very troublesome. And consumers want to know about the products being sold without having to come to the shop directly. Therefore, researchers created a web-based sales information system to overcome this problem. The method used in system development is the prototype method with data collection through interviews. The result is a web sales information system design that makes it easier for buyers to access products offered anywhere and carry out purchase transactions online. This system design is expected to produce more accurate data in processing sales data and sales reports.

The use of information technology is increasingly advanced in the 4.0 era, especially in the field of village government. The purpose of the web-based population data processing information system for Penggung Village, Boyolali, is to have a good impact on population data management. The problems faced, such as conventional data archiving that causes data accumulation and corruption, drive the need for this solution. The prototype development method was chosen because it provides high interactivity between users and developers. The system is equipped with features of population data management, automatic archiving, quick search, and CRUD function. The results of the study show that this system increases the efficiency and speed of information access and reduces the risk of data loss and corruption. The implementation of this web-based information system is expected to be an effective solution for the village government and provide a new perspective for future research.

Big Data Analytics has gained significant popularity in recent years, with many companies integrating it into their information technology roadmaps to enhance business performance. However, surveys indicate that Big Data Analytics demands substantial resources, including technology, costs, and talent, which often leads to failures in the initial stages of implementation. This study proposes a VGG6 architecture approach, intended to provide a framework for the initial implementation of Big Data Analytics. The study's outcomes include the implementation of the VGG6 architecture for processing images of aromatic plants using Python. Furthermore, this approach enabled the development of a Minimum Viable Product (MVP) solution that adheres to general Big Data principles, such as the 3Vs (Volume, Velocity, and Variety), and encompasses key technological components: 1) Data Storage and Analysis, 2) Knowledge Discovery and Computational Complexity, 3) Scalability and Data Visualization, and 4) Information Security.