Publication Search

Information technology advancements have sparked a digital revolution in village government operations, especially in tracking and assessing village officials' performance. Performance evaluation is still done by hand in many village government organizations, which frequently causes reporting delays, ineffective data processing, and a lack of transparency in the evaluation process. In order to facilitate a more efficient and organized monitoring and performance evaluation process, an information system therefore required. In order to support the management village apparatus data, performance assessment procedures, and integrated reporting, this study intends design and develop a web-based monitoring system for assessing the performance village officials. To represent the system processes in an organized way, the system design is modeled using the Unified Modeling Language (UML), which includes use case diagrams, activity diagrams, and sequence diagrams. To make sure that every system function performs in accordance with user requirements, system testing is carried out using the Black Box Testing method. The findings demonstrate the system's ability handle village apparatus data, carry out automated performance evaluation procedures, compute final scores using assessment indicators, and produce precise performance reports. It is anticipated that the system's implementation will enhance the village officials' performance monitoring procedure's efficacy, efficiency, transparency, and structure.

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.

Automatic facial expression recognition is a significant challenge in human-computer interaction with broad relevance in mental health, security, and behavioral analysis. This study proposes the implementation of Deep Learning using a custom Convolutional Neural Network (CNN) architecture to classify seven basic emotion categories: angry, disgust, fear, happy, sad, surprise, and neutral. Key challenges such as lighting variations and visual feature ambiguity in the FER2013 dataset are addressed through image pre-processing techniques, data augmentation, and the use of Batch Normalization and Dropout layers to prevent overfitting. The research methodology involves a systematic architectural design with three main convolution blocks optimized for computational efficiency. Experimental results show that the proposed model achieved a validation accuracy of 68.2%. Performance analysis based on F1-Score reveals that the "Happy" emotion has the highest detection rate (0.85) due to contrasting facial geometric features, while the "Fear" emotion is the most difficult class to identify (0.41). This study concludes that the use of an optimized standalone CNN architecture provides competitive and efficient performance compared to heavier transfer learning models, making it feasible for implementation on devices with mid-range hardware specifications.

This study aims to analyze the Transformation of E-Government Towards E-Governance in the Public Service Process at the Population and Civil Registration Office of Gresik Regency. The utilization of information technology in public services is one of the government’s efforts to improve administrative efficiency, transparency, and the quality of services provided to the public.This research employs a qualitative approach with a descriptive method to provide an in-depth depiction of the implementation of E-Governance in population administration services. Data collection techniques include interviews, observations, and documentation, while data analysis follows the stages of Grouping the data according to key constructs, Identifying bases for interpretation, Developing generalizations from the data, Testing alternative interpretations, and Forming and/or refining generalizable theory from the case study.The results indicate that the implementation of the Transformation of E-Government Towards E-Governance in the Public Service Process at the Population and Civil Registration Office of Gresik Regency is carried out through several key dimensions, namely E-Administration, E-Service, and E-Society. The E-Administration dimension is reflected in the use of digital-based administrative systems for managing population data and processing document applications electronically. The E-Service dimension shows that online services provide easier access for the public to manage population documents more quickly and efficiently. Meanwhile, the E-Society dimension demonstrates an increased utilization of information technology by the public in accessing population administration services. Nevertheless, the implementation of digital services still faces several challenges, such as limited digital literacy among the public and uneven internet access. This study concludes that the application of E-Governance in population administration services in Gresik Regency has made a positive contribution to improving the quality of public services through the utilization of information technology.

For criminal justice systems, the growing number of young people involved in drug-related crimes is a serious problem, especially when it comes to striking a balance between law enforcement and child protection and rehabilitation. By contrasting viewpoints from Islamic law and Indonesian positive law, this study investigates the use of restorative justice in the processing of adolescent drug cases in Tanjung Jabung Barat Regency, Jambi. The study used a qualitative socio-legal methodology that integrates normative legal analysis with empirical field data gathered via observations, interviews, and document analysis involving law enforcement personnel, rehabilitation facilities, families, and community people. The results show that diversionary measures required by Law No. 11 of 2012 regulating the Juvenile Criminal Justice System are the main means by which restorative justice is applied in juvenile drug cases. In order to guarantee that children are not subjected to punitive detention but rather have options for recovery and social reintegration, these systems prioritize mediation, rehabilitation, and community involvement. From the standpoint of Islamic law, restorative justice is consistent with fundamental tenets like tawbah (repentance), islah (reconciliation), and the protection of human welfare, all of which place an emphasis on moral reform and the preservation of children's dignity. These ideas support the adoption of restorative measures in the resolution of adolescent drug offenses in Tanjung Jabung Barat, a sociocultural setting where Malay-Islamic beliefs have a significant impact on community life. The report does, however, also point out a number of difficulties, such as the lack of rehabilitation facilities, the societal stigma associated with juvenile offenders, and the inconsistent use of diversion by law enforcement. The study comes to the conclusion that a framework for handling juvenile drug cases that prioritizes the rehabilitation and future well-being of children is both culturally sensitive and legally sound when restorative justice ideas are integrated with Islamic legal values and Indonesian statutory law.

The increasing public demand for delivery services has led to increasingly fierce competition between shipping companies. In this condition, service quality and price are the main factors that determine customer satisfaction. The purpose of this study was to evaluate the effect of service quality and price on J&T Express customer satisfaction. The study was conducted at PT. Global Bintang Timur Ekspress from September to December 2025. The research design was quantitative statistics. Primary data were obtained through questionnaires distributed to 100 J&T Express customers via Gfrom. Data analysis included instrument quality testing, classical assumption testing, multiple linear regression, t-test, f-test, and coefficient of determination testing. Data processing was assisted by the SPSS version 26 program. The results showed that service quality (X1) partially influenced J&T Ekspress customer satisfaction (t count = 10.790 > t table 1.985 and a significance value of 0.000 < 0.05). Partially, price (X2) has a significant effect on J&T Express customer satisfaction (t count = 2.857 > t table 1.985 and a significance value of 0.005 < 0.05). Simultaneously, service quality and price have an effect on J&T Express customer satisfaction (F count = 218.755 > t table 3.09 and a significance value of 0.000 < 0.05). Companies can use these findings to improve services and pricing to increase customer loyalty.

This study aims to explore the effectiveness of various intervention strategies, including counseling services, learning strategies, and occupational therapy in treating children with Attention Deficit Hyperactivity Disorder (ADHD). Through a qualitative method based on literature studies, this study applies systematic data processing to evaluate the impact of a holistic approach on children's behavior and concentration. Analysis is carried out through data reduction procedures, data presentation, and verification of conclusions to measure the extent to which a holistic approach influences the development of children's behavior and concentration abilities. The results of the study indicate that multimodal approaches, such as Cognitive Behavior Therapy (CBT) and occupational therapy, are effective in improving children's self-control, emotional regulation, and motor skills. In addition, the implementation of an Individual Learning Program (IPP) in schools and intensive collaboration with parents play a major role in creating a supportive environment for children with ADHD. This study concludes that integrated treatment between behavioral interventions and the success of optimizing children's potential depends heavily on the integration of professional behavioral treatment with active support from the family.

The transition toward sustainable energy systems requires the transformation of renewable energy marketing strategies, particularly for waste-based energy. This study aims to analyze the effects of green marketing, stakeholder collaboration, and technological innovation on the marketing effectiveness of waste-based energy, with customer satisfaction as an intervening variable. A quantitative approach with a survey design was used. Data were collected from 300 respondents, comprising consumers and stakeholders at PT PLN (Persero) ’s waste-based energy processing units. Structural Equation Modeling (SEM) was used to analyze the data. The results indicate that green marketing, stakeholder collaboration, and technological innovation significantly influence customer satisfaction and the effectiveness of marketing. Furthermore, customer satisfaction significantly mediates the relationship between independent variables and marketing effectiveness. These findings emphasize the importance of integrating sustainable marketing strategies, multi-stakeholder synergy, and innovative technologies to enhance the competitiveness of waste-based energy products in the market. This study contributes to the theoretical development of renewable energy marketing models and provides practical implications for policymaking and green energy marketing strategies in Indonesia.

This research is motivated by the negative impacts of production activities at a manufacturing company engaged in rubber processing, specifically at PTPN VII Unit Pematang Kiwah Natar, South Lampung. The factory's operations directly impact the environment, generating noise pollution, air pollution, unpleasant odors, and liquid waste. This situation requires the company to implement Environmental Management Accounting (EMA) to balance business sustainability with social and environmental responsibility. This is in line with Law No. 40 of 2007 concerning Limited Liability Companies and PSAK 1 of 2021. The main objective of the study was to evaluate the suitability of the implementation of environmental management accounting at PTPN VII Uni ;t Pematang Kiwah Natar, South Lampung, based on the International Guidance Document IFAC 2005 and PSAK 1 of 2021. This study used a qualitative descriptive method. Primary and secondary data were collected through interviews, observation, and documentation. The research results show that the company has implemented environmental management accounting using PSAK 1 of 2021, where the company has fulfilled the identification, presentation, measurement, recognition, and disclosure stages using the 2022 sustainability report and the 2022 financial statements of PTPN VII. Furthermore, PTPN VII Unit Pematang Kiwah Natar, South Lampung, has classified environmental costs by allocating environmental costs based on the International Guidance Document IFAC 2005 and Ikhsan (2008). Therefore, PTPN VII Unit Pematang Kiwah Natar, South Lampung, has demonstrated its commitment to environmental regulatory compliance.

This research aims to determine the influence of e-commerce and accounting information systems (AIS) on entrepreneurial decision making among accounting students at the economics and business faculty, Nusa Nipa University, Maumere. The type of research used is quantitative research. This research data method uses primary data which means the respondents' answers to the questionnaire statements distributed and then measured using a Likert scale. The total sample was 38 accounting student respondents. The data collection technique is by distributing questionnaires using Google Forms which have been tested for validity and reliability, multiple linear regression analysis tests, hypothesis testing via the t test and f test, as well as the coefficient of determination (R2). In processing the data using SPSS version 23. Based on the research results, E-Commerce has a positive and significant effect on Decision Making for Entrepreneurship, the Accounting Information System has a positive and significant effect on Decision Making for Entrepreneurship, E-Commerce and the Accounting Information System together have a positive effect on Decision Making for Entrepreneurship.

Inconsistent terminology across cybersecurity frameworks undermines global governance and interoperability. The National Institute of Standards and Technology Cybersecurity Framework (NIST CSF 2.0) and ISO/IEC 27001:2022 share similar objectives but diverge semantically in defining risk, control, and resilience. This semantic gap causes difficulties in compliance mapping and automated policy translation. Research Objectives: This study aims to analyze the semantic similarity and divergence between NIST and ISO/IEC 27000 terminologies, identify conceptual structures influencing interoperability, and propose an AI-assisted foundation for harmonizing cybersecurity language globally. Methodology: A mixed-method semantic comparative design integrates Natural Language Processing (NLP) and ontology mapping. Using the nist_glossary.csv dataset and ISO vocabularies, terms were normalized and analyzed via cosine similarity using sentence-transformer embeddings. Ontological alignment was visualized through the Semantic Threat Graph (STG) and validated by certified experts using Cohen’s Kappa reliability tests. Results: From 672 term pairs, results show 40.9% high semantic equivalence, 38.8% partial overlap, and 20.3% semantic divergence. Strongest alignment appears in “Protect” and “Identify” domains, while divergences occur in governance and recovery-related terms. Ontology mapping revealed three conceptual clusters—Risk Governance, Technical Safeguards, and Organizational Readiness. Conclusions: Findings confirm a 79.7% total semantic alignment, indicating strong potential for harmonizing global cybersecurity standards. The study contributes an empirical model combining computational linguistics and AI-based ontology mapping to establish semantic interoperability, enabling unified cybersecurity governance and AI-driven compliance automation. Keywords: Semantic Interoperability; Ontology Mapping; Cybersecurity Frameworks; Terminology Alignment; AI Harmonization

This study aims to analyze the role of local Micro, Small, and Medium Enterprises (MSMEs) in utilizing lemongrass (Cymbopogon citratus) as the main ingredient for mosquito repellent products and its contribution to improving the economy of the community in Timbang Jaya Village. Lemongrass contains essential oils that function as a natural insect repellent, making it a potential raw material for value-added products such as mosquito repellent sprays, aromatherapy candles, and herbal lotions. This research employed a descriptive qualitative method with data collected through interviews, observations, and literature studies. The findings indicate that local MSMEs play a significant role in the production process, product innovation, and marketing of lemongrass-based products. Besides generating additional income, this development also creates new job opportunities and supports the village’s economic independence. However, several challenges remain, including limited capital, lack of processing technology skills, and competition with chemical-based products. The recommended solutions include capacity building through training and mentoring, better access to funding, and strengthening digital marketing strategies. Therefore, the development of mosquito repellent products from lemongrass by MSMEs not only contributes to the community’s economic growth but also provides an environmentally friendly alternative beneficial for public health.

Information systems are an important element in the business world that helps businesses increase work efficiency and reduce human error. In practice, many businesses still produce financial reports manually. Manual preparation of financial reports is inefficient and tends to have a higher potential for delays, lateness, or errors in data entry. This makes the financial reports presented inaccurate and unreliable as a basis for making decisions. To address this problem, a community service program was implemented by designing an accounting system using Microsoft Access, which provides various features that can help users in data processing. The method carried out starts with observation, system design, and evaluation by the partner. The result of implementing this program is that the system designed in Microsoft Access successfully accelerated the work process for partners, making the preparation of financial reports more efficient and timely. The financial reports presented also became more accurate and reliable.      

Seren Village has abundant organic waste potential, particularly banana peel waste generated from banana-processing MSME activities and wood ash resulting from household firewood combustion. To date, this waste has not been optimally utilized and is often discarded, thereby posing potential environmental problems. This study aims to process banana peel waste and wood ash into an innovative, environmentally friendly shoe polish made from natural materials, while also enhancing the economic value and welfare of the community. The research employed a descriptive qualitative method with a case study approach. Data were collected through observation, interviews, and documentation involving the women’s Family Welfare Empowerment Group (PKK) of Seren Village as the target participants. The shoe polish production process includes drying and grinding banana peels, mixing them with a wood ash solution that functions as a natural coloring agent, adding supporting materials, and heating the mixture until a ready-to-use shoe polish is obtained. The results indicate that the shoe polish produced from banana peels and wood ash has a solid texture, is slightly coarse, non-glossy, and has a relatively fast drying time of approximately one minute. In addition, the product shows good resistance to water splashes and does not damage the surface of shoes. The use of natural ingredients makes this shoe polish safer for health. The utilization of this waste has the potential to support MSME development, reduce environmental pollution, and sustainably improve the welfare of the Seren Village community.

As a manufacturing company engaged in the processing of copper and wire products, PT Tembaga Mulia Semanan, Tbk requires human resources with optimal performance to support the achievement of organizational goals. This study aims to examine the effect of work motivation and work environment on employee performance at PT Tembaga Mulia Semanan, Tbk. This research employed a quantitative approach with data collection conducted through questionnaire distribution. The research population consisted of all employees of the South Continuous Rod (SCR) Division, totaling 65 employees, with a sample of 42 respondents. The collected data were analyzed using multiple linear regression analysis with the assistance of SPSS software. The results of the t-test indicate that work motivation partially has a positive and significant effect on employee performance, as shown by a t-value of 4.265 which is greater than the t-table value of 2.022, with a significance level of 0.000 < 0.05. The work environment also partially has a positive and significant effect on employee performance, indicated by a t-value of 6.080 which is greater than the t-table value of 2.022 and a significance value of 0.000 < 0.05. Furthermore, the F-test results show that work motivation and work environment simultaneously have a positive and significant effect on employee performance. The coefficient of determination (R²) of 63.52% indicates that variations in employee performance can be explained by work motivation and work environment, while the remaining percentage is influenced by other factors outside this study.

This research aims to analyze the structure and identify various forms of linguistic errors found in students’ research reports. A qualitative approach with a descriptive method was employed, using documentation studies on three different students’ research reports as the primary data. The findings indicate discrepancies in the text structure, such as unsystematic composition of the introduction, methodology, results, discussion, and conclusion sections. Furthermore, various linguistic errors were identified, including spelling, punctuation, diction, ineffective sentence construction, and inconsistencies in citations and references. Other identified issues include content duplication, technical errors in word processing features, and lack of relevance in the theoretical review. The implications of this research emphasize the necessity of improving the quality of research report writing through strengthened academic writing curricula, structured mentoring, the use of reference management technology, and a disciplined scientific literacy culture. This study is expected to serve as an evaluation tool for students, lecturers, and study programs to enhance the standards of scientific writing in higher education.

The structural realignment of public sector governance, catalyzed by rapid technological evolution, has compelled PT Pos Indonesia to institute the Pospay digital ecosystem. Nonetheless, this paradigm shift frequently collides with deeply entrenched sociological resistance in empirical settings. This inquiry endeavors to scrutinize the service quality of Pospay while exploring the systemic challenges posed by conventional transaction habits at the Main Branch Post Office in Surabaya. Adopting a descriptive qualitative approach, empirical data were garnered through semi-structured interviews, non-participant field observations, and institutional document analysis. Informants were selected via purposive sampling, encapsulating the operational manager, a front-line service officer, and a service consumer. Data processing adhered to the interactive analysis framework of Miles, Huberman, and Saldaña (2014). Framed through Parasuraman’s SERVQUAL model, the analytical results demonstrate that while the responsiveness and assurance parameters operate at an optimal level, the reliability dimension remains disrupted by sporadic system latency. More significantly, a profound cultural lag actively decelerates this technological migration. Service users manifest a chronic reliance on physical counters, structured by marginal digital literacy, a psychological mandate for physical artifacts as transaction validation, and a preference for real-time interpersonal encounters. Adaptive institutional countermeasures specifically on-site digital mentorship and hybrid validation mechanisms have been strategically deployed to attenuate this sociocultural disconnect.

The purpose of this study is to describe the marketing strategies and adaptability of “cakar bongkar” (second-hand clothing) traders in responding to market dynamics in Nabire City. This study employs a qualitative approach, as it is appropriate for addressing research problems that require an in-depth understanding of the socio-economic realities in Kalibobo Market and Karangtumaritis Market in Nabire City. The data used in this study consist of primary data as the main source and secondary data as supporting and relevant information. Data collection methods are carried out using the triangulation principle, namely through direct observation, in-depth interviews, and documentation. Informants are selected using snowball sampling and purposive sampling methods to obtain comprehensive and representative information. Data processing and analysis are conducted through the stages of data reduction, data presentation, and systematic conclusion drawing. The results of the study indicate that the informants apply five (5) marketing strategies in selling second-hand clothing (cakar bongkar), namely: (1) sourcing strategies, (2) pricing and promotion strategies, (3) word-of-mouth marketing strategies, (4) strategies for building social relationships with customers, and (5) product display strategies using prototype tables to attract consumer attention.

This study aims to analyze the influence of e-marketing and customer engagement on marketing performance. Analyze the influence of e-marketing and customer engagement, customer trust on marketing performance. The sample size was 78 respondents using SEM PLS for data processing. The findings of this study are that there is a significant positive influence between e-marketing on marketing performance; there is a significant positive influence between customer engagement on marketing performance; there is a significant positive influence between e-marketing on customer trust; there is a significant positive influence between customer engagement on customer trust; there is a significant positive influence between customer trust; on marketing performance

Measuring coal volume in the Stock ROM area played an important role in production control and mining evaluation. This research was conducted in the Stock ROM area at PT. Victor Dua Tiga Mega, where volume measurements were generally carried out using Total Station (TS) as the main method, howefer the use of Unmanned Aerial Vehicles (UAV) has begun to be implemented as a more efficient alternative. This study aims to compare the results of Stock ROM coal volume calculations using the Total Station and UAV methods. The research method was carried out by collecting data in the field, processing the digital Elevation Model (DEM), and calculating the volume using the Cut and Fill method. The results of the study the difference in volume between the two methods, where the UAV measurement results tend to be greater than those of the Total Station. The difference in Fine Coal volume was 724,15 m3 or 16,74% and Raw Coal volume of 9.335,98 m3 or 8,03%. Based on a comparison with weighing data, measurements using the Total Station provided results that were closer to the actual conditions in the field.