Jurnal Info Sains : Informatika dan Sains

Naive Bayes Method In Sentiment Analysis Of Presidential Candidates For The 2024 Election Using Python

2024-06-18T09:22:49+00:00

The 2024 Election in Indonesia is an interesting topic for social media users. Social media has a big impact in building public political opinions, views, sentiments and preferences. Many political figures have been nominated for President based on public opinion. There are various opinions of media social users with negative, positive and neutral sentiments. However, determining the sentiment of social media users requires quite a lot of effort and time. The large number of incoming opinions regarding presidential election candidates encourages the need for methods that help to see public opinion effectively. Python is a programming language that can be used to answer these problems. By providing a standard library that is open source and has a wide range of applications in various fields. Classification will be carried out using the Naïve Bayes Classifier to determine the level of accuracy of the classification process carried out. Sentiment analysis in this research is a process carried out to find out what the results of sentiment analysis are regarding the public's response to the presidential candidates for the upcoming 2024 election and classify them into three classes using the Naïve Bayes method using Python. The results of this research showed that Python carried out sentiment analysis with the sentiment percentage results for candidate Anies Muhaimin with a positive class of 64.91%, neutral 28.07% and negative 7.02% with a Naïve Bayes accuracy value of 75%. For candidate Prabowo Gibran, the positive class is 12.38%, neutral 6.67% and negative 80.95% with a Naïve Bayes accuracy value of 81%. Meanwhile, the candidate Ganjar Mahfud has a positive class of 40%, neutral 50.67% and negative 9.33% with a Naïve Bayes accuracy value of 60%. So that we can identify public opinion about presidential candidates for the 2024 election using the Naïve Bayes method using Python.

Legal Protection for Consumers against Misleading Advertising According to the Perspective of the Laws in Force

2024-10-07T03:30:17+00:00

Misleading advertising is an action that can harm consumers, both financially and psychologically, because the information conveyed is not in accordance with the facts or misleads public perception. Based on Law Number 8 of 1999 concerning Consumer Protection, consumers have the right to obtain correct, clear, and honest information regarding the conditions and guarantees of the goods and/or services purchased. This study aims to analyze legal protection for consumers who are victims of misleading advertising (misleading This study uses a normative legal method with a legal approach (advertising) according to the perspective of the applicable laws and regulations in Indonesia. The results of the study indicate that legal protection for consumers from misleading advertisements in Indonesia is regulated by various laws, such as Law No. 8 of 1999 concerning Consumer Protection, Law No. 32 of 2002 concerning Broadcasting, and Law No. 40 of 1999 concerning the Press. However, although there are regulations prohibiting the dissemination of misleading information, the main challenge in its implementation lies in the fragmentation of regulations spread across various laws that are often unsynchronized and less detailed in providing sanctions. This makes the application of the rules inconsistent, so that business actors can take advantage of legal loopholes to spread inaccurate advertisements. Weak law enforcement by related institutions such as the National Consumer Protection Agency and the Indonesian Broadcasting Commission, as well as the lack of coordination between institutions, worsen the situation. In addition, low consumer legal awareness makes them less aware of their rights, so that misleading advertising practices continue without much challenge. The development of digital technology also adds to the complexity of supervision because advertisements are now distributed more widely and quickly through online platforms, which are not always easy to monitor by traditional regulators.

Optimization Of Handcycle Design And Engineering Using The VDI 2221 Method Through An Anthropometric Approach For The Disabled

2024-09-21T17:56:37+00:00

People with disabilities are people who experience physical limitations either due to birth or accidents and so on, causing difficulty in walking and other activities. One of the obstacles for them is the existence of transportation to do work or just for daily mobility. And one solution to help people with disabilities in doing daily activities is a handcycle. Handcycle is driven by the arms, not the legs. Handcycle is generally used by people with disabilities who have limitations in using their legs. The research activity aims to produce a handcycle product that is friendly to people with disabilities with an anthropometric aspect approach where the bicycle can be moved either manually or electrically. The position of the seat and steering system can be adjusted according to needs. The seat arrangement (adjustable chair) and steering wheel arrangement (adjustable steering wheel) need to be planned in order to provide a sense of security and comfort to the user. The creation of this bicycle product design begins with identifying customer needs, designing a design concept, designing a shape, designing details and making the product. Where Product Design using the VDI 2221 method. A design method that uses a systematic approach to designing products and engineering systems. Through testing of handcycle products carried out by 2 people (users) with disabilities, it shows that users can adjust the distance of the body with the electric steering system and manual steering by adjusting the distance between the seat and steering wheel. The distance between the seat and the electric steering wheel is 726 - 838 (mm), the distance between the seat and manual steering wheel is 675 - 785 (mm), the height of the seat from the floor is 550 - 700 (mm) with a vehicle speed of 25 km/h if using an electric motor.

Identification And Antioxidant Activity Test Of Graptophyllum Pictum L. Griff Var. Viride Leaf Extract

2024-11-06T04:20:27+00:00

Flavonoids are one of the compounds that are effective as antioxidants and function to protect against exposure to free radicals. One of the plants that contain flavonoid compounds is the leaves of Graptophyllum pictum L. Griff Var. viride. This study was conducted to determine phytochemical screening, total flavonoids, total phenolics, and antioxidant activity analysis contained in the leaves of Graptophyllum pictum L.Griff Var. viride. This type of research is an experimental exploratory research. Extraction by multistage maceration using three solvents namely N-Hexan, ethyl acetate and 96% ethanol, antioxidant activity test with DPPH method, total flavonoid test using aluminum chloride colorimetric assay method, and total ph enol test using Folin-Ciocalteu method from Graptophyllum pictum L .Griff Var. viride leaves. The results of extraction with 400 g of Graptophyllum pictum L. Griff Var. viride leaf simplicia with N-Hexan, ethyl acetate, 96% ethanol respectively produced 4.5 g, 3.9 g, and 41.5 g of thick extract. The IC 50 values of N-Hexan, ethyl acetate, and ethanol extracts were 317.70 µg/mL, 227.30 µg/mL and 231.86 µg/mL, respectively. The total flavonoid content of N-Hexan, ethyl acetate, and ethanol extracts were 8.03; 55.52; 25.61mg quercetin equivalents/g extract, respectively. The total phenol content of N-Hexan, ethyl acetate, and ethanol extracts were 19,164; 16,135; 27,251 mg GAE/g extract, respectively.

The Role Of Human Resource Management In Organizations

2024-11-06T04:26:13+00:00

Human resources (HR) that play a role as the core of development. HR management addresses various management issues, ensuring effective use of HR through organizational systems. Overall, HR management is vital to achieving corporate goals. Human Resources in macro terms refer to the number of people in a country, but currently focus more on employees of an organization. HR includes individuals with skills and mental and physical strength, which are important in the development process of countries, companies, and organizations. Research methods involve statistical analysis, budgeting, innovation, and computer modeling to ensure that human resource planning is in accordance with institutional needs. Qualitative research is used to describe, explain, and analyze human resource phenomena, focusing on human attributes in business. Human resource adequacy also involves motivational factors, salary, and workplace comfort, as well as psychological contracts between individuals and organizations.

Implementation Of Financial Management Of Simpang Sari Village, Sumber Jaya District, West Lampung Regency

2024-10-28T10:25:31+00:00

The village government is required to prepare a report on the realisation of the implementation of the Village Revenue and Expenditure Budget (APB) and the Accountability Report. The preparation of financial reports carried out by Simpang Sari village officials. In the preparation of financial reports carried out by Simpang Sari village officials, there are differences in the data presented, financial information is not transparent and difficult to understand by the public, so that village financial reports become less accurate or cannot be presented properly, the presentation of village financial reports is often not in accordance with correct accounting principles so that it is difficult to understand budget fluctuations and finally weak supervision. This study aims to determine the implementation of financial management of the Simpang Sari village fund, Sumberjaya District, West Lampung Regency. This research is a descriptive qualitative research with a policy implementation theory approach, which was conducted in Simpang Sari Village, West Lampung District. The results of the study can be concluded that the implementation of financial management of Simpang Sari Village, Sumber Jaya Subdistrict, West Lampung Regency can be explained by the village apparatus has carried out financial management procedures with accountability and transparency referring to Permendagri Number 20 of 2018. The financial management has also been realised in the form of public policy programs.

Enterprise Architecture Using TOGAF ADM to Support Smart Campus at STAI Raudhatul Akmal

2024-11-07T22:15:57+00:00

The development of an academic information system to support the Smart Campus concept at STAI Raudhatul Akmal requires an effective enterprise architecture approach. This study adopts the TOGAF ADM method to design an enterprise architecture that can accommodate evolving academic and technological needs. The focus is on applying TOGAF ADM to analyze academic business processes and develop an integrated system implementation plan. Primary data sources include analyses of academic business processes at STAI Raudhatul Akmal, covering student admissions, teaching and learning, research, community service, graduation, and alumni services. Using TOGAF ADM’s eight phases—including vision architecture, business architecture, information system architecture, technology architecture, and change management—this study aims to develop a blueprint aligned with institutional needs. The analysis results indicate that the architectural blueprint includes a web-based information system, e-learning system, online grading system, and library system. The technology design covers network infrastructure and servers. The implementation governance and change management phases highlight the importance of systematic change management to ensure a smooth transition. This study recommends assessing institutional readiness and implementing all aspects of TOGAF ADM for a comprehensive design to effectively support the Smart Campus implementation at STAI Raudhatul Akmal.

Decision Support System For Selecting Rental Houses Using The Simple Additive Weighting Method (Case Study: Bojong Indah Village)

2024-11-05T15:22:20+00:00

The The development of housing is currently growing quite rapidly, one of which is rented houses, the increasing population growth in Bojong Indah Village has caused the need for housing to continue to increase. Families in Bojong Indah Village are not only native residents, but there are also newcomers. Newcomers and local families need a place to live, such as housing, apartments, and rented houses. However, limited costs are often one of the reasons for not buying a house or apartment. So that rented houses become an alternative choice for the community. In selecting this rented house, the author determines his own criteria in selecting it, namely price, space, distance to the market, security, and parking space. The use of the Simple Additive Weighting (SAW) method in a decision support system is a problem-solving path that can handle this problem, where tenants will feel relieved by the existence of this decision support system by providing suggestions for rented houses that match the criteria quickly by inputting the criteria desired by the user. So that at the end of the process, the user will get a list of recommendations for recommended rented houses based on their input criteria.

Face Recognition Using Backpropagation Algorithm (Supervised Learning)

2024-11-15T06:15:20+00:00

Image processing plays a pretty important role. Much research has been carried out on image objects, where information from images can contribute to and benefit education, technological innovation, and information management. The face is a marker of recognizing someone. Facial recognition systems have difficulty with different facial orientations, lighting, haircuts, mustaches or beards, glasses, permanent blemishes or scars, and differences in conditions such as the person turning slightly, looking down, or looking up. The research aims to carry out digital image processing, specifically the process of scaling, grayscale, edge detection, and thresholding the image of a person's face as input. This research is crucial because image processing, especially facial recognition, is essential in health, education, economics, and security. The research uses the Artificial Neural Network method. Artificial Neural Networks are information processing systems designed to imitate how the human brain works in solving a problem by learning by changing the synapse weights. Research results in facial recognition using backpropagation show high accuracy and a fast average time. The suitability level of the recognition results depends on the combination of parameter values used in the learning process. The greater the epoch (repetition), the greater the learning rate; the smaller the error, the higher the known level.

System Information Vacancy Work In Palembang City Based On Codeingiter Framework

2024-11-20T03:20:51+00:00

The rapid development of information technology has encouraged various sectors, including the world of work, to adapt to more modern and efficient systems. Accurate data management and the use of technology such as computers are now a must, especially amidst the demands of globalization and economic dynamics. In this context, websites emerge as relevant media for conveying information, including job vacancies. Currently, the challenges in finding jobs and meeting workforce needs are major problems experienced by many levels of society. Although the recruitment process has been digitized, there is still a gap between the number of vacancies available and qualified job seekers. To overcome this obstacle, the development of a web-based job vacancy information system is considered an effective solution. This system accelerates the dissemination of job vacancy information and facilitates access for job seekers and companies in the recruitment process. This study uses direct observation methods at the Palembang Multipurpose Building and literature studies from various literature for system development. This system is designed using the SDLC model, including the Waterfall and Agile methods, which ensure a structured and flexible development process. The results of this study indicate that the implementation of a web-based job vacancy information system can improve recruitment efficiency, provide wider access for job seekers in Palembang, and help companies get suitable candidates. This system is expected to be an effective means of connecting applicants with job opportunities more easily, quickly and efficiently.

Decision Support System For Determining The Best Lecturers And Students In The Information Technology Study Program, UM Palembang Using The Multi Attribute Utility Theory Method

2024-11-09T07:09:31+00:00

Evaluation of lecturer performance and student achievement is an important step to maintain academic quality in higher education. The Information Technology Study Program at Universitas Muhammadiyah Palembang requires an efficient and objective system to select the best lecturers and students, considering their role in improving academic quality and institutional reputation. This study aims to develop a technology-based decision support system (DSS) to improve the automation and accuracy of the selection process. Using the Multi Attribute Utility Theory (MAUT) method, various assessment criteria are processed into standardized scores, allowing for objective assessment of lecturers and students. The Rapid Application Development (RAD) method is used in system development to ensure the process is fast and effective. This system is designed using various modeling diagrams, such as flowcharts, use case diagrams, and class diagrams, to ensure a clear, structured, and easily understood workflow for users, including administration and academics.The test results show that this system facilitates the selection process, reduces processing time, and minimizes errors that often occur in manual assessments. In addition, this system increases the transparency of assessments, provides objective, accurate, and accountable results, and encourages healthy competition among lecturers and students. The success of this implementation is expected to become a standard for periodic assessment in higher education. In addition, this system has the potential to be developed into a web-based application, which allows wider access for the entire academic community and increases the accessibility and effectiveness of the selection process in the future.

Classification Of Superstructure Damage In School Buildings In Nusa Penida Bali Using YOLO V7

2024-11-25T23:36:50+00:00

Structural damage in school buildings poses significant risks to safety and education quality, particularly in remote areas with limited maintenance resources. This study develops a YOLOv7-based model to detect building pillars and classify structural damages, focusing on school buildings in Nusa Penida, Bali. A dataset of 156 images, derived from an initial 521 images collected during field visits, was curated to include both damaged and intact pillars. Preprocessing and augmentation techniques, including resizing and rotation, were applied to optimize the dataset. Training was conducted over 55 epochs using Google Colab with a T4 GPU, incorporating parameter tuning to address dataset imbalance. Confidence thresholds were set at 0.7 for pillars and 0.2 for rebar detection to enhance sensitivity to underrepresented damage classes. Evaluation metrics, including the F1-score and confusion matrix, confirmed the model’s accuracy and robustness in detecting and classifying structural damages. The results demonstrate the model's potential for real-world applications in damage assessment, particularly in resource-limited settings. Future research should focus on expanding datasets, incorporating multi-class classification, and integrating real-time detection and drone-based imagery to enhance scalability and efficiency. This work contributes to developing efficient, AI-driven solutions for structural health monitoring in critical infrastructure.

Mobile Android-Based Snack Food Production Management Information System (A Case Studi Of Mirasa Gendhis Sriyanti Tape Candy Factory)

2024-11-18T09:48:09+00:00

The snack industry, including the Mirasa Gendis Sriyanti Candy Factory in Magelang, faces various operational issues such as ineffective stock control, overproduction risks, and discrepancies between production processes and market demand. These challenges often lead to excess stock, inefficient costs, and financial losses. As a small business, the factory needs to adopt modern technological solutions to improve operational efficiency, particularly in production and inventory management. This study focuses on developing a mobile-based Production Management Information System called Sweet Candy for the factory. The application utilizes Firebase as its backend for real-time data storage, facilitating efficient management of production, scheduling, inventory, and reporting tasks. The system is built using Android Studio and Kotlin, offering features such as input for production requests, scheduling, and monthly reporting. Black box testing confirmed that the application meets the necessary requirements and performs as expected. This study contributes to the digitalization of small and medium-sized enterprises (SMEs) by presenting an innovative approach to production management.