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This study implements the Damerau-Levenshtein algorithm for an Indonesian spelling checking and correction system based on the distance editing approach. The main objective of this study is to develop a system capable of automatically detecting and correcting spelling errors at the character level through a matching process against the KBBI dictionary and the Indonesian corpus. The methods used include data collection, text pre-processing, system design, and implementation of the Damerau-Levenshtein algorithm which includes insertion, deletion, substitution, and transposition operations. Testing was conducted using 25 test data consisting of standard words and modified words for typographical errors. The results show that the system is able to measure all test data with an accuracy level of 100% on a limited dataset. In addition, the average Damerau-Levenshtein Distance value of 0.84 indicates that most errors are in the light category. Evaluation using a confusion matrix produces precision, recall, and F1-score values ​​of 100% each. These results indicate that the Damerau-Levenshtein algorithm is effective in handling character-based spelling errors. However, the system still has limitations in handling complex semantic contexts and language variations. Therefore, further research is recommended to integrate language model-based approaches to improve the system's accuracy and generalization on real-world data.

This study implements the Damerau-Levenshtein algorithm for an Indonesian spelling checking and correction system based on the distance editing approach. The main objective of this study is to develop a system capable of automatically detecting and correcting spelling errors at the character level through a matching process against the KBBI dictionary and the Indonesian corpus. The methods used include data collection, text pre-processing, system design, and implementation of the Damerau-Levenshtein algorithm which includes insertion, deletion, substitution, and transposition operations. Testing was conducted using 25 test data consisting of standard words and modified words for typographical errors. The results show that the system is able to measure all test data with an accuracy level of 100% on a limited dataset. In addition, the average Damerau-Levenshtein Distance value of 0.84 indicates that most errors are in the light category. Evaluation using a confusion matrix produces precision, recall, and F1-score values ​​of 100% each. These results indicate that the Damerau-Levenshtein algorithm is effective in handling character-based spelling errors. However, the system still has limitations in handling complex semantic contexts and language variations. Therefore, further research is recommended to integrate language model-based approaches to improve the system's accuracy and generalization on real-world data.

This study was conducted to systematically explore the influence of the level of ease of transactions and the quality of e-commerce services on the process of determining consumer purchasing decisions in Batam City. The research framework was built with a descriptive-oriented quantitative approach through the involvement of 100 respondents who actively utilize digital transaction services, which were determined using a purposive sampling technique based on the Lemeshow formulation to ensure the adequacy and representativeness of the sample. Empirical data were collected through a structured questionnaire and then processed using statistical analysis stages that included testing the validity and reliability of the instrument, evaluation of classical assumptions, multiple linear regression modeling, and verification of hypotheses through t-tests and F-tests. The results of data processing revealed that the variable of ease of transactions contributed 18.8% to purchasing decisions, while service quality contributed an influence of 63.5%. The coefficient of determination (R²) reaching 73.3% indicates that both independent variables simultaneously have substantial explanatory power towards variations in consumer purchasing behavior. Both partial and simultaneous testing confirmed a significant influence, thus confirming that simplifying transaction mechanisms and strengthening digital service quality are strategic determinants in driving e-commerce consumer purchasing decisions in Batam City.

This study aims to examine the effects of applying a Problem-Based Learning (PBL) method combined with PhET simulation tools on enhancing critical thinking skills among eighth-grade students at SMP Negeri 4 Singaraja when learning vibration and wave topics. It adopted a quasi-experimental approach with a Pretest-Posttest setup and non-equivalent control group design. The participant cohort comprised 75 students distributed across two groups: the treatment group (n=38) who engaged in learning activities using PBL supplemented by PhET simulation, and the comparison group (n=37) who received PBL instruction without PhET simulation support. Data collection was conducted through essay-type assessment instruments containing 7 questions designed to evaluate critical thinking competencies based on Ennis' theoretical framework. Data processing employed descriptive statistical analysis, N-Gain Score computation and ANCOVA testing were conducted at a 0.05 significance level. Results showed the treatment group's average Posttest score at 84, compared to 66 for the control group. The ANCOVA produced an F-value of 103.701 (p < 0.001), confirming a statistically significant difference in critical thinking skills between the groups. The adjusted mean Posttest scores were 83.99 for the treatment group and 66.01 for the comparison group, reflecting a differential of 17.99 points. Consequently, the findings substantiate that the integration of PBL with PhET simulation demonstrates greater effectiveness in fostering students' critical thinking skills in comparison to conventional PBL implementation without technology-enhanced simulation assistance.

This study examines the effectiveness of Assemblr Augmented Reality (AR) in improving English vocabulary mastery among deaf students in an inclusive classroom setting. The research was conducted at SD N 2 Bengkala using a quantitative pre-experimental design with a one-group pre-test and post-test approach. The participants were Grade 5 deaf students selected through purposive sampling. Data were collected using a researcher-developed vocabulary test consisting of 15 items, which was validated through expert judgment and demonstrated high reliability (Cronbach’s Alpha = 0.815). Descriptive statistical analysis revealed a substantial improvement in students’ vocabulary scores, with the mean increasing from 45.00 in the pre-test to 76.50 in the post-test. The minimum score improved from 40 to 73, and the maximum score increased from 50 to 80. Inferential analysis using the Wilcoxon Signed-Rank Test showed a significance value of 0.180, indicating no statistical significance due to the small sample size. However, the observed improvement indicates strong practical significance. The findings suggest that Assemblr AR enhances vocabulary learning by providing visual and interactive learning experiences that support deaf students’ cognitive processing. This study highlights the potential of AR technology as an effective instructional medium in inclusive education environments.  

There are chances for small and medium-sized businesses (SMEs) to boost local agricultural economies and increase profitability due to the rising demand for value-added dairy products.  This study uses the Hayami approach to evaluate the value distribution along the production chain in order to investigate the economic potential of cream cheese production in Samarinda, Indonesia.  In-depth producer interviews, cost documentation, questionnaires, and production process observations were used to gather primary data.  Identifying the main cost components and evaluating value generation at the processing step were the main objectives of the investigation.  The results show that processing adds a substantial amount to the total product value, with the acquisition of raw materials and packaging being the main sources of expense. Maximizing by-products like whey, implementing cost-effective packaging, and optimizing input sourcing are all ways to boost profitability. According to the report, local cream cheese makers can become more resilient and competitive by focusing on specialized markets, improving branding, and fortifying supply chain integration. These observations serve as the foundation for business plans and regulatory suggestions meant to promote long-term expansion in the artisanal dairy industry.

This study aims to analyze the impact of middlemen on the price of Fresh Fruit Bunches (FFB) of oil palm received by farmers in Lambur I Village, Tanjung Jabung Timur Regency, from a sharia economic perspective. This study also examines the FFB marketing patterns carried out by farmers and the factors that influence farmers in choosing where to sell their harvest. The method used is a qualitative approach with a case study research type. Data were obtained through in-depth interviews, field observations, and documentation to understand FFB marketing practices and the socio-economic relationships between farmers and middlemen. The results show that FFB marketing in Lambur I Village is carried out through three main channels: middlemen, the Marketing Chain of Trust (RAM), and palm oil processing factories. Most farmers choose to sell FFB to middlemen because the transaction process is easier, payments are fast, and transportation costs are not required. In addition, urgent financial needs, limited transportation facilities, and long-standing socio-economic relationships also influence farmers' dependence on middlemen. In practice, middlemen play a dominant role in determining prices, deducting approximately Rp 250–Rp 300 per kilogram from the factory price. From a sharia economic perspective, marketing practices through middlemen are essentially permissible as long as they are carried out with mutual consent and do not contain elements of usury, gharar, or injustice. However, the dominance of middlemen in determining prices indicates a bargaining imbalance that could potentially harm farmers, thus not fully reflecting the principle of justice in sharia economics

Proprioceptive sensor data, including inertial measurement units (IMU), joint encoders, and torque sensors, plays a critical role in state estimation for quadruped robots operating in dynamic and unstructured environments. However, these signals are often degraded by various sources of error, such as high-frequency noise, bias, drift, and contact-induced disturbances, which directly affect estimation accuracy and stability. This study presents a systematic analysis of sensor-specific noise characteristics and evaluates the effectiveness of preprocessing methods tailored to each sensor modality. Specifically, moving average filtering is applied to encoder signals to mitigate noise amplification during differentiation, while first-order low-pass filtering is employed for IMU and torque signals to suppress high-frequency noise. Experimental results on a publicly available quadruped dataset demonstrate that encoder velocity RMSE is reduced by 12.09%, high-frequency energy decreases by 59.63%, and signal-to-noise ratio (SNR) improves by 145.6%. However, variance reductions remain limited (3.39% for IMU and 4.05% for torque), indicating the persistence of impulsive, non-Gaussian noise caused by contact events. These findings highlight that linear preprocessing methods are effective for attenuating high-frequency noise but insufficient for handling non-Gaussian disturbances. The study provides practical insights into the effectiveness and limitations of preprocessing strategies, serving as a foundation for developing more robust signal processing and state estimation frameworks in quadruped robotics.

This study aims to analyze the implementation of cross-sector education based on community participation as an effort to achieve the Sustainable Development Goals (SDGs) in Watangsono Village, Wonogiri. This research employed a descriptive qualitative approach by collecting data through participatory observation, documentation, and Focus Group Discussions (FGD) involving key stakeholders in the village. The results show that the implementation of cross-sector educational programs covering education, health, economy, and environment has a significant impact on improving community knowledge, skills, and awareness. Community participation was reflected through active involvement in various practical activities, such as anti-bullying education, digital literacy training, stunting prevention through local food processing, herbal plant utilization, natural pesticide production, family health massage practices, and strengthening local economic capacity. The participatory and applicative approach encourages two-way knowledge transfer and strengthens community capacity in managing local resources sustainably. Despite challenges such as limited resources and time constraints, the program demonstrates positive contributions to supporting SDGs achievement at the village level. Therefore, cross-sector education based on community participation can serve as an effective strategy in empowering rural communities and fostering sustainable development.

This study aims to determine the effect of product quality and service quality on consumer purchasing decisions, both partially and simultaneously, at Chickenday Restaurant Trenggalek. The method used is a quantitative approach with data processing in numerical form to objectively test the relationship between variables. The research was conducted at Chickenday Restaurant, located on Jl. Soekarno Hatta No. 20 Trenggalek. The research population consists of all consumers during the period of May–June 2025, the exact number of which is unknown. The sampling technique utilized probability sampling with a simple random sampling method, resulting in 96 respondents based on the Lemeshow formula. The data include primary data through questionnaires and observations, as well as secondary data from various sources. Data analysis was performed using multiple linear regression, t-test, and F-test. The results indicate that product quality and service quality have a positive and significant effect on purchasing decisions, both partially and simultaneously, with service quality being the more dominant variable.

The advancement of financial technology has resulted in the creation of electronic wallets that serve not only as payment instruments but also as platforms for electronic transactions and digital loan services. This situation engenders a conflict between the implementation and the prevailing regulation, specifically Bank Indonesia Regulation Number 18/40/PBI/2016 regarding Payment Transaction Processing, which raises concerns about legal certainty and user protection, particularly in relation to the delineation of supervisory authority between Bank Indonesia and the Financial Services Authority. This research aims to elucidate the regulation of electronic wallets in terms of legal clarity, legal protection, and oversight by the Financial Services Authority and Bank Indonesia concerning the adoption of electronic wallets. This study employs a normative legal methodology. Data is derived from secondary sources, encompassing primary, secondary, and tertiary legal literature. This study employs both a legislative and a conceptual methodology. The research findings suggest that the regulation of electronic wallets, as per Bank Indonesia Regulation, has not entirely met user requirements. Bank Indonesia Regulation Number 18/40/PBI/2016, on the Implementation of Payment Transaction Processing, does not explicitly address legal certainty and legal protection for users who deposit funds or utilise digital loan services on electronic wallets. This situation establishes a disparity between regulatory implementation and governing rules, which may result in insufficient oversight of electronic wallet operations and a discord of authority between Bank Indonesia and the Financial Services Authority regarding the supervision of financial transactions in Indonesia.

This research is motivated by the escalating prevalence of illegal online lending practices in Indonesia, which generate a multitude of legal problems, particularly those concerning the validity of loan agreements and debt collection practices. The simplicity of access through smartphone applications, rapid processing times often approved within minutes and minimal administrative requirements have rendered these services immensely popular among the public. However, this accessibility also paves the way for unlicensed providers to operate unchecked, preying on desperate borrowers. The study aims to analyze the legal validity of illegal online loan agreements pursuant to the Indonesian Civil Code (KUHPerdata) and regulations issued by the Financial Services Authority (Otoritas Jasa Keuangan, OJK). Additionally, it examines the legal position of debt collection from a civil law perspective. A normative juridical method is employed, utilizing statutory and conceptual approaches, with qualitative analysis of the data. The results demonstrate that illegal online loan agreements fail to fulfill the requirements for a valid contract, especially regarding the legal capacity of the parties and lawful cause, categorizing them as null and void by operation of law. Nevertheless, in practice, unlicensed providers continue debt collection efforts, frequently employing methods that violate the law, such as harassment and intimidation. This reveals a significant gap between legal norms and field implementation. The implications emphasize the critical need for robust law enforcement, enhanced consumer protection mechanisms, and stricter oversight of fintech lenders to establish legal certainty and justice for society.

The management of integrated network services, including WiFi, CCTV, and Cable TV, requires high data accuracy to ensure customer satisfaction and revenue stability. PT. Sumber Aiti faced operational challenges due to manual administrative systems, causing data redundancy, delays in handling service disruptions, and financial discrepancies in the billing cycle. This study aims to design and develop a Web-Based Integrated Network Service Management Information System using the Waterfall development method. The Waterfall method was selected for its structured, sequential phases, requirements analysis, design, implementation, testing, and maintenance, which align with PT's stable, procedural business processes. Sumber Aiti. The system integrates customer registration, service monitoring, and automated billing management (e-billing). Functional testing using Black Box Testing on 11 test scenarios showed that 10 of 11 features (90.9%) functioned correctly, including authentication, service registration, payment processing, and administrative reporting. Comparative analysis of business processes indicates that the system reduces manual recording steps from 7 to 3 stages (57% reduction) and eliminates data redundancy across WiFi, CCTV, and Cable TV service records. The implementation of this system provides a strategic solution for improving operational efficiency and administrative accountability at PT. Sumber Aiti.

The rapid development of information technology requires adaptation across various business sectors, including small and medium enterprises (SMEs). BUMDes Poto Bo’o, located in Wolotopo Village, Ndona Timur District, still manages sales data manually using ledger books. This practice leads to several issues, such as data inaccuracies, lack of automatic inventory updates, and delays in report generation.This study aims to design and implement a basic necessities (sembako) sales information system for the BUMDes. The system development method used is the waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system is developed using PHP programming language and MySQL database.The main features of the system include product management, customer management, transaction processing, tracking of incoming and outgoing goods, and real-time sales reporting. The results show that the developed information system improves transaction recording accuracy, enhances inventory data accuracy, and accelerates the sales reporting process.Therefore, the system is expected to improve the operational efficiency of BUMDes Poto Bo’o, support financial management transparency, and increase public trust in the performance of the village-owned enterprise.

This study analyzes the performance of the Dual Modulus RSA algorithm in securing text data using Python. The rapid growth of digital technology has increased the risk of data security threats, making efficient and secure encryption essential. Dual Modulus RSA is a modification of the classic RSA algorithm that uses two different moduli in the encryption and decryption process, thus increasing security levels because attackers must factorize two moduli simultaneously. This research uses an experimental quantitative approach by measuring the execution time of encryption and decryption processes with variations in plaintext length (5, 10, and 15 characters). Implementation was carried out using Python 3 with the time.perf_counter() function for microsecond-precision measurement. The results show that the Dual Modulus RSA algorithm successfully encrypts and decrypts all test plaintexts correctly. Encryption time ranged from 0.0212 ms to 0.0823 ms, while decryption time ranged from 0.0422 ms to 0.0955 ms. There is a positive linear relationship between plaintext length and processing time. Decryption is consistently slower than encryption due to the larger private key exponent (d1=2753, d2=3533) compared to the public exponent (e=17). The main factors affecting performance are exponent size, dual modulus overhead, CPU caching effects, and Python interpretation overhead. This study recommends using Dual Modulus RSA with hybrid encryption for practical implementation to balance security and performance.

Management of hazardous and toxic waste (B3) in hospitals is an important aspect of maintaining environmental health and preventing pollution risks. RSUD Jenderal Ahmad Yani Metro has implemented hazardous waste management using the reduce, reuse, recycle (3R) concept; however, its implementation has never been comprehensively evaluated. This study aimed to evaluate the management of hazardous waste using the 3R concept at RSUD Jenderal Ahmad Yani Metro based on the Regulation of the Minister of Environment and Forestry No. P.56/Menlhk-Setjen/2015 and to identify the supporting factors. This research used a qualitative design with a case study approach. The research informants consisted of 23 participants selected using purposive sampling, including the hospital director, ward heads, IPCN, sanitation officers, 3R waste management officers, and sanitation operators. Data were collected through observation, in-depth interviews, and document review using interview guidelines and checklists. Data analysis was conducted using the Miles and Huberman model, including data reduction, data display, and conclusion drawing. The results showed that the transportation, storage, and processing stages of hazardous waste management were in accordance with the Regulation of the Minister of Environment and Forestry No. P.56/Menlhk-Setjen/2015. However, the sorting and containerization processes were not fully compliant because recyclable waste was still mixed with other hazardous waste. In addition, several supporting factors were identified, including the lack of training and certification among human resources, inadequate infrastructure, and the absence of technical guidelines and standard operating procedures for the 3R waste bank. Therefore, improving human resource capacity, infrastructure, and internal hospital regulations is necessary to optimize 3R-based hazardous waste management.

Kalingara Village still faces various obstacles in financial administration. Problems in general occur such as manual financial records, a long-time report making process, and data storage that is less organized and prone to loss or damage. This condition makes it difficult for village officials, especially the treasurer and village secretary, to search for data, prepare reports, and make decisions based on valid and up-to-date financial data. This research uses software engineering research methods with descriptive and qualitative approaches. This research is focused on the process of designing and developing a web-based information system for village financial administration, which aims to solve real problems in Kalingara village. The design of the Village financial administration information system in presenting information can be used as a reference in the development of the system by the next researcher and facilitate the creation of an information system for the processing of financial administration data in the village.

The increasing sophistication of malware has rendered traditional signature-based detection methods insufficient, necessitating behavior-driven and adaptive analytical frameworks. This study presents a sequential deep learning framework that models system-level API call sequences as structured linguistic representations for behavioral malware detection. Unlike conventional comparative studies, this work systematically evaluates recurrent and attention-based architectures under controlled experimental conditions, with a particular focus on generalization performance and overfitting mitigation. Two neural architectures, a Long Short-Term Memory (LSTM) network and a Transformer-based attention model, are trained on publicly available API call sequence data for binary classification of malicious and benign executables. Beyond standard accuracy metrics, the study further examines model stability, convergence behavior, and the impact of long-range dependency modeling on detection robustness. Experimental results demonstrate that the Transformer architecture achieves superior performance, attaining 95.54% classification accuracy and consistent improvements in precision, recall, and F1-score, indicating a stronger ability to capture complex behavioral dependencies. These findings highlight the effectiveness of attention mechanisms in behavioral malware modeling and provide empirical evidence that NLP-inspired architectures offer a robust and scalable approach for real-world cybersecurity applications.

In the era of digital transformation, the utilization of information technology in business activities has become an important factor in improving operational efficiency and effectiveness. Dzikri Baby Shop, a business engaged in the sale of baby equipment, still faces challenges in managing sales transactions and inventory manually, which may lead to recording errors, process delays, and less optimal customer service. This study aims to design and develop a sales information system for Dzikri Baby Shop to support digital transformation in its business processes. The system development method used in this research is Rapid Application Development (RAD), as it enables software to be developed in a relatively short time through an iterative approach and active user involvement. The system developed includes product data management, sales transaction processing, inventory control, and report generation. The testing results using the Black Box Testing method show that all system features function in accordance with user requirements. Therefore, the implementation of this sales information system is expected to improve operational efficiency, accelerate transaction processes, minimize errors in data management, and enhance the quality of customer service.

This study aims to develop a web-based Electronic Medical Record (EMR) application to improve the efficiency and accuracy of patient data recording at Elopada Community Health Center. The research adopts a system development approach using the waterfall model, including requirements analysis, system design, implementation, and testing. Data were collected through observation, interviews, and documentation. The developed system was evaluated using Black Box Testing to verify the conformity between input and output without considering internal program structures. The results indicate that the EMR system enhances data processing speed, improves recording accuracy, and facilitates access to patient information. These findings are consistent with prior studies showing that EMR implementation improves the quality and efficiency of clinical documentation . Therefore, the proposed system is considered feasible to support the advancement of digital healthcare services.