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The Influence of Human Resource Competence, the Implementation of the Regional Financial Accounting System, and the Use of Information Technology on the Quality of Regional Financial Statements at the Bengkalis Regency SKPD Rahmadani, Irma; Fiddin, Fachroh
Majapahit Journal of Islamic Finance and Management Vol. 5 No. 4 (2025): Islamic Finance and Management
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/mjifm.v5i4.725

Abstract

This research examines the effect of human resource competence, the implementation of the regional financial accounting system, and the utilization of information technology on the quality of regional financial statements within the Regional Apparatus Work Units (SKPD) of Bengkalis Regency. The study adopts a quantitative research design using primary data collected through questionnaires. The population consists of 90 respondents selected using purposive sampling, with data measured on a Likert scale. Data analysis was conducted using multiple linear regression with the assistance of SPSS version 29. The findings indicate that, individually, human resource competence has a positive and significant effect on the quality of regional financial statements. Likewise, the implementation of the regional financial accounting system and the utilization of information technology also demonstrate positive and significant influences on the quality of financial reporting. The results further show that the adjusted R-squared value reaches 68.1%, suggesting that the quality of regional financial statements is largely explained by the variables examined in this study, while the remaining 31.9% is influenced by other factors beyond the research model.
Web-Based Internship Information System at SMK Nusantara 1 Kotabumi Using the Waterfall Method Approach Trio Muhamad Sanjaya; Khusnul Khotimah
International Journal of Health Engineering and Technology Vol. 4 No. 5 (2026): IJHESS JANUARY 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v4i5.533

Abstract

This study aims to design and develop a web-based internship information system for SMK Nusantara 1 to support the administration of students’ industrial work practice. The existing PKL administration process still relies heavily on manual recording using paper forms and spreadsheets, which often leads to data duplication, document loss, and delays in report preparation. The proposed system was developed using the Waterfall model, which includes requirement analysis, system and database design using Unified Modeling Language (UML), implementation with PHP and MySQL, and functional testing through black-box methods. The system provides several main features, including user authentication, management of student and supervisor data, industry placement, daily activity input, supervisor assessment, final report submission, and PKL recap reporting. Testing results indicate that all functional requirements perform correctly, and users—including administrators, school supervisors, company supervisors, and students—reported that the system is easier to use compared to previous manual procedures. Overall, the system enhances transparency, reduces administrative errors, and improves the school’s ability to monitor and evaluate internship activities effectively.
Web-Based Patient Service Information System at AL-Furqon Health Clinic, Palembang Arum Adisha Putra Anandez; Agustina Heryati; Abdul Kholik
International Journal of Health Engineering and Technology Vol. 4 No. 5 (2026): IJHESS JANUARY 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v4i5.535

Abstract

AL-Furqon Health Clinic is a healthcare facility committed to providing quality and affordable medical services to the community. However, the manual management of patient data often leads to delays in record-keeping, risk of data loss, and suboptimal service delivery. This study aims to design and develop a web-based patient service information system that supports patient registration, data management, service scheduling, and medical record documentation in an integrated manner at AL-Furqon Clinic Palembang. The system was developed using the Agile method and Unified Modeling Language (UML) modeling to represent system requirements and workflows. The technologies used include JavaScript, MySQL, and XAMPP. This web-based patient service information system integrates and manages registration, reservations, medical records, and service schedules in real-time, providing convenience for patients to access services online and assisting administrators and medical staff in efficiently managing data and services. The research results indicate that the system improves efficiency, accuracy, and speed in managing patient service data. With this system, healthcare services at AL-Furqon Clinic are expected to become more effective and well- structured.
Analysis of Students' Experience and Satisfaction in Management Use of Academic Information System (SIAKAD) University of Great Nias Sarumaha, Herman Sulvanis; Wau, Intan Christine Oktavira; Halawa, Witer Mawati; Harita, Fidelia Selvianis; Waruwu, Faleria Lotina
HARAMAIN : Jurnal Manajemen Bisnis Vol. 6 No. 01 (2026): HARAMAIN : JURNAL MANAJEMEN BISNIS
Publisher : HARAMAIN : Jurnal Manajemen Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze students’ experiences and satisfaction in using the Academic Information System (SIAKAD) at the University of Great Nias, focusing on students of the Management Study Program. A qualitative approach with a descriptive qualitative design was employed in this study. Data were collected through in-depth interviews, observation, and documentation involving students who had actively used SIAKAD for at least one semester. Informants were selected using purposive sampling until data saturation was achieved. Data analysis was conducted using an interactive analysis model consisting of data reduction, data display, and conclusion drawing. The findings reveal that students generally have positive experiences in using SIAKAD, particularly in terms of ease of access to academic information, practicality of academic services, and system support for learning activities. Students also reported a satisfactory level of satisfaction, as the system was able to meet their expectations and academic needs. However, several challenges were identified, including system speed and stability during peak usage periods and the need for improvement in interface design to enhance usability. The study concludes that although SIAKAD has provided significant benefits for students, continuous evaluation and system development are necessary to further improve user experience and satisfaction.
A Framework for Mining Customer Data in Management Information Systems Untung Rahardja; Lutfiani, Ninda; Agung Rizky; Yul Ifda Tanjung; Evans, Richard
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/m5qymx32

Abstract

The exponential growth of customer data within Management Information Systems (MIS) has generated an urgent need for structured analytical approaches capable of transforming raw information into valuable insights that support decision-making across various organizational processes. This study aims to develop a comprehensive and systematic framework for mining customer data in MIS by integrating preprocessing procedures, machine learning algorithms, and model evaluation techniques into a unified analytical workflow. Using the Design Science Research methodology, the framework was designed based on existing data mining standards, developed through iterative refinement, and demonstrated using a customer-behavior dataset processed with clustering, classification, and association rule mining techniques. The findings reveal that the proposed framework improves data quality, enhances segmentation accuracy, and strengthens predictive capability, enabling MIS to deliver deeper insights into customer behavior, purchasing tendencies, and potential churn risks. Experimental results show that combining K-Means, Random Forest, and Apriori algorithms yields more comprehensive and reliable patterns compared to using a single analytical technique. The outcomes of this research highlight the practical significance of applying an integrated data mining approach in MIS, allowing organizations to optimize marketing strategies, personalize services, and make more informed managerial decisions. Overall, this study contributes to the field by offering a scalable, adaptable, and effective framework for implementing customer data mining within real-world MIS environments.
Web-Based Information System for the Language Unit at Politeknik Penerbangan Surabaya Lady Silk Moonlight; Maulana Anifa Silvia; Anton Budiarto; Faoyan Agus Furyanto; Ahmad Musadek; Lusiana Dewi Kusumayati
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 18, No 4a: 2025
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v18i4a.32852

Abstract

This study aims to develop a web-based information system for the Language Unit of Politeknik Penerbangan Surabaya to replace the existing manual management processes. The system is designed to improve the efficiency of information delivery, registration, and payment for services such as language training, English proficiency tests, and document translation. The development process adopts the Agile methodology, which enables iterative development and rapid adaptation to user needs. The system implementation utilizes WordPress as the content management system and MySQL as the primary database to ensure data reliability and ease of management. The results show that the developed website provides faster, more flexible, and secure access for users. Furthermore, the system supports a mobile-friendly design, allowing users to access information anytime and anywhere. Thus, the system successfully supports the modernization of language services through efficient and sustainable digitalization.
CIT-LieDetect: A Robust Deep Learning Framework for EEG-Based Deception Detection Using Concealed Information Test Tanmayi Nagale; Anand Khandare
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 8 No 1 (2026): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v8i1.1300

Abstract

Deception detection with electroencephalography (EEG) is still an open problem as a result of inter-individual variability of brain activity and neural dynamics of deceitful responses. Traditional methods fail to perform well in terms of consistent generalization, and as a result, research has ahifted towards exploring sophisticated deep learning methods for Concealed Information Tests (CIT). The objective of the present study is to categorize subjects as guilty or innocent based on EEG measurements and rigorously test model performance in terms of accuracy, sensitivity, and specificity. To achieve this, experiments were conducted on two EEG datasets: the LieWaves dataset, consisting of 27 subjects recorded with five channels (AF3, T7, Pz, T8, AF4), and the CIT dataset, comprising 79 subjects recorded with 16 channels (Fp1, Fp2, F3, F4, C3, C4, Cz, P3, P4, Pz, O1, O2, T3/T7, T4/T8, T5/P7, T6/P8). Preprocessing involved a band-pass filter for noise reduction, followed by feature extraction using the Discrete Wavelet Transform (DWT) and the Fast Fourier Transform (FFT). Three models were evaluated: FBC-EEGNet, InceptionTime-light, and their ensemble. Results indicate that InceptionTime-light achieved the highest accuracy of 79.2% on the CIT dataset, surpassing FBC-EEGNet (70.8%). On the LieWaves dataset, FBC-EEGNet achieved superior performance, with 71.6% accuracy, compared with InceptionTime-light (65.93%). In terms of specificity, FBC-EEGNet reached 93.7% on the CIT dataset, while InceptionTime-light demonstrated balanced performance with 62.5% sensitivity and 87.5% specificity. Notably, the ensemble model provided stable and generalizable outcomes, yielding 70.8% accuracy, 62.5% sensitivity, and 75% specificity on the CIT dataset, confirming its robustness across subject groups. In conclusion, FBC-EEGNet is effective for maximizing specificity, InceptionTime-light achieves higher accuracy, and the ensemble model delivers a balanced trade-off. The implications of this work are to advance reliable EEG-based deception detection and to set the stage for future research on explainable and interpretable models, validated on larger and more diverse datasets.
Analyzing The Impact of Database Design on The Success of Regional Information Systems Buulolo, Viktor Dirman Jaya; Azzahra, Syakirah; Sembiring, Dealova Venolika Br; Hasanah, Nur Citra; Irawan, Irawan
EDUCTUM: Journal Research Vol. 4 No. 6 (2025): Eductum: Journal Research
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejr.v4i6.1462

Abstract

Database design is a fundamental component in the development of Regional Information Systems (RIS), as it determines data quality, inter-agency integration, system performance, and the sustainability of public services. This study aims to analyze the impact of database design on the success of RIS implementation by examining aspects of data quality, system integration, operational efficiency, information security, decision-making support, and system scalability. The research employs a literature review and conceptual analysis of various database design models and their implementation within local government environments. The results indicate that effective database design characterized by standardized data structures, clear inter-table relationships, strong data validation, and multi-layered security mechanisms significantly enhances the effectiveness and accuracy of regional data management. Conversely, suboptimal database design leads to data duplication, low interoperability among local government units, slower public service processes, and an increased risk of data breaches. Therefore, the success of Regional Information Systems is strongly influenced by the quality of database design as the primary foundation for data processing and information provision in local governments.
Designing a Financial Statement Information Quality Model for Fraud Prevention in the Palangka Raya City Government Dhina Sri Widyaningsih; Pratiwi Hamzah; Wahyu Febri Eka Susanti
Jurnal Ilmiah Multidisiplin Indonesia (JIM-ID) Vol. 4 No. 12 (2025): Jurnal Ilmiah Multidisplin Indonesia (JIM-ID), December 2025
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increase in fraud incidents in local government has prompted the need for a financial reporting quality model that supports fraud prevention at the government level, particularly in the Palangka Raya City Government. This study designs a conceptual model that links Quality of Financial Reporting (QFR) with the effectiveness of fraud prevention, as well as identifying important mediator and moderator roles. The methods used are a literature review and desk study of academic literature, regulations, and local government financial reporting documents. The synthesis results confirm five main dimensions of QFR: relevance, reliability (faithful representation), comparability, timeliness, and understandability. The proposed model places the Government Internal Control System (SPIP)/internal audit as a mediator between QFR and fraud prevention, while fraud analytics, whistleblowing systems, and a culture of integrity act as moderators that strengthen this relationship. Practical recommendations include strengthening SPIP, integrating analytical technology for early detection, and reporting and whistleblower protection mechanisms to close opportunities for fraud. Implementation of this model is expected to strengthen regional financial governance and reduce the risk of fraud through the synergy of preventive, detection, and response measures.
PENERAPAN ALGORITMA BRUTE FORCE PADA INFORMATION RETRIEVAL SYSTEM UNTUK PENCARIAN BUKU DI PERPUSTAKAAN SEKOLAH Risman, Risman; Miftahudin, Muhamad
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 6, No 1 (2026): JEIS EDISI JANUARI 2026
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol6no1.907

Abstract

The aim of this research is to apply the brute-force algorithm to a prototype information retrieval system (IRS) to obtain book search results more quickly. This improves the effectiveness and efficiency of the book search process. The study uses the brute-force string-matching algorithm and a prototyping approach for IRS development. Results show the algorithm efficiently supports book searches in school libraries. Tests yield faster book searches, with average search times of 0.0003988 seconds for one pattern and 0.00040125 seconds for two patterns. Developers successfully designed the IRS prototype using the algorithm. The system also proves more effective and efficient in providing book search information, with an average feasibility percentage of 95.59%. Evaluators rated the IRS 'Very Feasible' for book searches in school libraries using the brute-force algorithm. This research significantly contributes to more effective and efficient book searches in school libraries by applying artificial intelligence (AI) through an IRS.Penelitian ini bertujuan untuk menerapkan algoritma brute force pada prototipe aplikasi information retrieval system (IRS) untuk mendapatkan hasil pencarian buku dengan lebih cepat, meningkatkan efektivitas dan efisiensi pada proses pencarian buku. Penelitian ini menggunakan pendekatan algoritma brute force yang merupakan algoritma string matching dan metode pengembangan aplikasi IRS menggunakan pendekatan prototyping. Hasil penelitian menunjukkan bahwa algoritma brute force dapat diterapkan pada IRS untuk pencarian buku di perpustakaan sekolah. Berdasarkan pengujian, diperoleh hasil pencarian buku yang lebih cepat dengan rata-rata waktu yang dibutuhkan dalam melakukan pencarian pencarian 0.0003988 detik pada pengujian 1 pattern dan 0.00040125 detik pada pengujian 2 pattern. Prototipe IRS yang dikembangkan telah berhasil dirancang dengan penerapan algoritma tersebut. Selain itu sistem ini terbukti lebih efektif dan efisien dalam memberikan informasi terkait pencarian buku, dengan hasil perhitungan rata-rata persentase kelayakan sebesar 95.59%, yang menunjukkan bahwa IRS dinyatakan “Sangat Layak” sebagai sebuah information retrieval system untuk pencarian buku di perpustakaan sekolah. Penelitian ini memberikan kontribusi signifikan dalam meningkatkan efektifitas dan efisiensi pencarian buku di perpustakaan sekolah melalui penerapan artificial intelligence (AI) dalam bentuk information retrieval system (IRS).

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