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EVALUASI PENGGUNAAN EDUCATION MANAGEMENT INFORMATION SYSTEM (EMIS) DI PONDOK PESANTREN DARUL AMIN PALANGKA RAYA Muhammad Ramadhan; Triwid Syafarotun Najah; Slamet Riyadi
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 11 No. 3 (2026): Regular Issue (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jkps.v11i3.2213

Abstract

This study aims to evaluate the use of the Education Management Information System (EMIS) at the Darul Amin Islamic Boarding School in Palangka Raya based on single-database indicators as well as the efficiency, effectiveness, and synergy of educational data management. The study employed a quantitative evaluative approach, with data collected via a questionnaire administered to 26 respondents comprising educators and administrative staff. Data analysis was conducted using SPSS 27 through Pearson’s validity test, Cronbach’s Alpha reliability test, and descriptive analysis. The results indicate that all instrument items are valid with significance levels below 0.05 and a Cronbach’s Alpha value of 0.943, indicating very high reliability. The average score for the single database indicator was 3.7, while the scores for the efficiency, effectiveness, and synergy indicators were 3.713. The results indicate that EMIS is capable of supporting integrated data management, improving administrative quality, accelerating data reporting, and strengthening coordination among educational units. The study concluded that the use of EMIS falls into the “very good” category, although improvements are still needed in the areas of human resources and technological infrastructure.
Internal Control And Cyber Risk Mitigation In The Regional Government Information System (SIPD): Evidence From Tabanan Regency Government, Indonesia Chinta Nadia; Sherly Alika Zefanya; Rimi Gusliana Mais
International Journal of Interdisciplinary Research Vol. 2 No. 2 (2026): Vol 2 no 2 July 2026
Publisher : Ponpes As-Salafiyyah Asy-Syafi'iyyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71305/ijir.v2i2.1688

Abstract

The increasing adoption of digital technologies in public sector organizations has transformed regional financial management practices while simultaneously exposing local governments to growing cybersecurity risks. In Indonesia, the Regional Government Information System (Sistem Informasi Pemerintahan Daerah—SIPD) has become a strategic platform for integrating planning, budgeting, administration, and financial reporting processes. Despite the widespread implementation of SIPD, previous studies have primarily focused on administrative effectiveness and financial reporting quality, with limited attention given to the role of internal control in mitigating cyber risks within local government information systems. This study aims to analyze the role of internal control as a cyber risk mitigation mechanism in the implementation of SIPD within the Tabanan Regency Government, Indonesia. A qualitative descriptive approach was employed using secondary data obtained from official government documents, public reports, regulatory documents, and relevant academic literature. Data were analyzed through data reduction, data presentation, and conclusion drawing to identify the relationship between internal control practices and cyber risk management in SIPD implementation. The findings indicate that SIPD has strengthened the integration of regional financial management processes and supported the advancement of digital governance in Tabanan Regency. Furthermore, internal control contributes significantly to cyber risk mitigation by enhancing user access monitoring, ensuring data accuracy, strengthening system supervision, and protecting digital financial information from potential cybersecurity threats. Effective internal control mechanisms help maintain accountability, system reliability, and information security in digital-based financial administration. This study contributes to the literature by extending the discussion of SIPD beyond financial reporting effectiveness toward cyber governance and information security perspectives. Practically, the findings provide insights for local governments seeking to strengthen cybersecurity readiness and internal control frameworks to support sustainable digital governance and secure public financial management.
Analysis Implementation Of Accounting Information Systems In Supporting Internal Control Of Rahn (Pawn) Financing At Darussalam Syariah Pawnship Banda Aceh Evriyenni Evriyenni; Natasya Ramadhani; Nevi Hasnita; Rahmah Yulianti
JIMEBIS: Scientific Journal of Students Islamic Economics and Business Vol. 5 No. 2 (2024): JIMEBIS
Publisher : Fakultas Ekonomi dan Bisnis Islam, Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/dkdjnk09

Abstract

Accounting Information Systems (AIS) play a vital role in strengthening the governance of Islamic financial institutions, particularly in ensuring transparency, accountability, and compliance with sharia principles. This study aims to analyze the implementation of AIS in supporting internal control of Rahn (pawn) financing at Pawnship Syariah Darussalam Banda Aceh. The study employs a descriptive qualitative method; with data collected through interviews, observations, and documentation. The results indicate that AIS is integrated into all operational stages of Rahn financing, from customer data recording, collateral appraisal, and financing disbursement to repayment. Features such as audit trails, access authorization, automatic notifications, and real-time reporting were found to enhance internal control. However, challenges remain, including data entry errors and limited human resource competencies. The study concludes that AIS implementation at Pawnship Syariah Darussalam Banda Aceh contributes significantly to internal control effectiveness, though improvements in staff training and system development are still required.
THE EFFECTIVENESS OF THE USE OF MANAGEMENT INFORMATION SYSTEMS AND HOSPITAL FACILITIES IN IMPROVING SERVICES IN THE OUTPATIENT UNIT OF LINDIMARA CHRISTIAN HOSPITAL Yuliyanti Konga Wandal
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

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

Abstract

Hospitals as health service institutions are required to manage resources and service processes optimally in order to meet the expectations of patients and the wider community in providing fast, precise and accurate services. Hospital Management Information System (SIMRS) is a computer system that integrates the entire flow of health service business processes, from administration to medical services, with the aim of providing fast and accurate information. The purpose of this study was to evaluate the effectiveness of the implementation of the Management Information System and support for health facilities that have a positive impact on improving services at the Outpatient Unit of Lindimara Christian Hospital. With the Correlation method and filling out the Questionnaire to respondents, it is hoped that the implementation of SIMRS and the Health Facilities used will prove effective in improving health services in the Outpatient Unit of Lindimara Christian Hospital through automation of service flows, development of business process management, improvement of human resource quality, and utilization of appropriate technology.
Examining E-Learning Adoption Through the Lens of the Information Systems Success Model: An Empirical Study on Higher Education Institutions in Indonesia Fitri Rostina Zaini Bustamam; H Hartini
International Journal of Business, Technology and Organizational Behavior (IJBTOB) Vol. 6 No. 1 (2026): International Journal of Business, Technology, and Organizational Behavior (IJB
Publisher : Garuda Prestasi Nusantara Consulting

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/ijbtob.v6i1.251

Abstract

Due to the outbreak of COVID-19, learning institutions in Indonesia have been forced to switch to e-learning. E-learning is a new way of education that everyone had to adopt. To ensure the continuity of teaching and learning activities, higher education institutions (HEIs) need to explore ways to increase the quality of e-learning systems. The paper aims to understand the quality factors that influence e-learning adoption in Indonesia. The proposed framework is validated with 753 students from four universities located in different regions of Indonesia. Data were analysed using Statistical Package for the Social Sciences (SPSS) software. The findings show that a relationship does exist between information quality and e-learning adoption. However, system and service quality did not indicate any significant influence on e-learning adoption.
GREEN TAXATION, TAX STRUCTURE, AND COLLECTION EFFICIENCY FOR ECONOMIC GROWTH: MODERATING ROLE OF INFORMATION TECHNOLOGY Hani Fitria Rahmani; Muhammad Alam Mauludina; Delina Herdian Septiani
Jurnal Akuntansi Dan Bisnis Indonesia (JABISI) Vol. 7 No. 1 (2026): Jurnal Akuntansi Dan Bisnis Indonesia (JABISI)
Publisher : Program Studi Akuntansi Institut Bisnis dan Informatika (IBI) Kosgoro 1957

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55122/jabisi.v7i1.2071

Abstract

This study examines the effects of green tax policy, tax structure, and tax collection effectiveness on economic growth, with information technology as a moderating variable. The research addresses fluctuations in economic growth in Indonesia that are associated with inefficiencies in tax policy design and implementation. A quantitative cross-sectional approach was applied using data from 150 Pratama Tax Service Offices. The findings indicate that green tax policy, efficient tax structure, and effective tax collection significantly contribute to economic growth. Furthermore, information technology strengthens these relationships by enhancing administrative efficiency and taxpayer compliance. This study contributes to the literature by integrating fiscal policy and digital transformation perspectives within an endogenous growth framework. Practically, the results imply that policymakers should optimize green tax instruments, simplify tax structures, improve tax administration effectiveness, and accelerate digital transformation in taxation systems to achieve sustainable economic growth. These findings highlight the importance of aligning fiscal and technological strategies in developing countries.
Transparency and Access to Public Information: Impact of the LOTAIP on Social Control and Institutional Trust Idrobo Flores, María Fernanda; Salazar Salvador, Lucas Mateo; Ochoa Ordoñez, Boris Raúl
Ius Humani. Jornal do direito Vol. 15 N.º 1 (2026): Ius Humani. Revista de Derecho
Publisher : Universidad Hemisferios

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31207/ih.v15i1.460

Abstract

This article addresses transparency and access to public information, focusing primarily on the impact of the Organic Law on Transparency and Access to Public Information (LOTAIP) on social oversight and institutional trust. Transparency and access to public information are fundamental pillars of contemporary democratic systems, facilitating social oversight and strengthening citizen trust in state institutions. In Ecuador, the LOTAIP serves as the main regulatory instrument for guaranteeing these rights and promoting open and accountable public management. This article analyzes the impact of the LOTAIP on the exercise of social oversight and the building of institutional trust, examining its regulatory scope, implementation mechanisms, and the main challenges it faces in practice. Using an analytical-descriptive approach, the article reviews the evolution of the legal framework, the obligation of proactive disclosure by public entities, and the role of citizens as active subjects of the right of access to information. It reflects on the tensions between the formal recognition of the right and its real effectiveness, considering institutional, cultural and administrative factors that affect its fulfillment.
Design of an Information System for Quantitative and Qualitative Analysis of Patient Medical Records at Puskesmas XYZ Andes Nanda Pratama
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 4 No. 1 (2025): January-June
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/q4rx5259

Abstract

The quantitative and qualitative analysis of medical records is a critical component of medical record management that ensures the completeness, accuracy, and consistency of patient health data in primary healthcare facilities. However, this process at Puskesmas XYZ is still conducted manually using paper forms, resulting in slow processing times, high risk of error, and difficulty in compiling aggregate reports. This research designs a web-based information system for quantitative and qualitative analysis of patient medical records using the Systems Development Life Cycle (SDLC) method with the Waterfall model. The system is built using the PHP CodeIgniter 4 framework, MySQL database, and a Bootstrap-based interface. The quantitative analysis module covers four review components: identification, authentication, recording, and reporting. The qualitative analysis module covers two components: consistency diagnosis and recording procedures. System evaluation was conducted using the ISO 25010 quality standard covering six characteristics: functional suitability, performance efficiency, usability, reliability, security, and maintainability. Testing results show an overall system quality score of 83.7% (Very Good category). The system successfully reduces medical record analysis time by 67.4% compared to manual methods and increases the completeness rate of medical record documentation from 71.3% to 94.8%. The novelty of this research lies in the integration of an automated completeness checklist module with a real-time incomplete medical record (IMR) tracking dashboard, which has not previously been developed specifically for the primary healthcare (Puskesmas) context in Indonesia.
Implementation of Machine Learning-Based Artificial Intelligence for Performance Prediction and Analysis of Information Systems in Modern Computing Environments Adi Ikbal Rahman; Sobarrokah; Erri hardiana
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 4 No. 2 (2025): July - December
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/6fw9nw49

Abstract

The rapid proliferation of digital information systems in modern organizations has created an urgent need for proactive performance monitoring and predictive analytics capabilities. Traditional rule-based monitoring approaches are increasingly inadequate in addressing the dynamic, high-dimensional nature of modern computing environments comprising cloud infrastructure, microservices architectures, and distributed databases. This study proposes and evaluates a machine learning (ML)-based framework for predicting and analyzing information system performance metrics in modern computing environments. The framework integrates five supervised and unsupervised ML algorithms — Random Forest (RF), Extreme Gradient Boosting (XGBoost), Long Short-Term Memory (LSTM), Support Vector Machine (SVM), and Isolation Forest — applied to a multi-dimensional dataset of system performance telemetry collected from a heterogeneous IT infrastructure over a 12-month period. The dataset encompasses 14 performance indicators including CPU utilization, memory usage, network throughput, query response time, and application error rates. Experimental results demonstrated that the XGBoost model achieved the highest predictive accuracy (R² = 0.942, RMSE = 2.31%) for CPU load forecasting, while the LSTM network outperformed other models for sequential anomaly detection with F1-score of 0.961. The ensemble approach combining RF and XGBoost reduced false positive rates in performance degradation alerts by 34.7% compared to single-model baselines. The novelty of this research lies in the integration of a hybrid ensemble architecture with SHAP (SHapley Additive exPlanations)-based interpretability analysis, enabling actionable root-cause identification beyond binary anomaly detection — addressing a critical gap in existing AI-based IT performance management solutions.
Automated Abstractive Summarization and Entity Extraction of Online News Information Using mT5 and BERT Marwan Aldi Pratama; Siti Nur'aini; Maya Rini Handayani; Khothibul Umam
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.276

Abstract

Purpose – This research aims to address the phenomenon of information overload on online news portals by developing an automated text summarization system capable of generating abstractive summaries while preserving essential entities. In addition, this research also aims to improve the coherence and quality of summaries compared to conventional extractive methods. Methods/approach – This research employs a quantitative approach with an experimental method conducted on 100 news articles regarding the Israel–Iran conflict collected from CNN via RSS. The proposed system integrates the mT5 model for abstractive summarization and the multilingual BERT model for Named Entity Recognition (NER). The stages encompass data acquisition, preprocessing, the preparation of reference summaries, automated summarization, entity extraction, and evaluation using reduction rates and ROUGE metrics. Findings – The research results show that the system is capable of producing summaries with an average reduction rate of 89.83%, such that the summary length is only approximately 10.17% of the original text. Evaluation indicates a ROUGE-1 value of 0.4095, ROUGE-2 of 0.2356, and ROUGE-L of 0.3442. The mT5 pipeline model yielded marginally superior ROUGE-1 and ROUGE-L scores, whereas the baseline mT5 model demonstrated a slight advantage in the ROUGE-2 metric. Conversely, the extractive TextRank method lagged significantly behind both transformer based models, particularly in generating fluent and contextually coherent summaries. Research limitations – This research has limitations in terms of data coverage, which still focuses on a single conflict domain, as well as entity classification errors due to lexical ambiguity and limitations in the model's contextual understanding, which may affect the generalization and accuracy of the system. Originality – This research offers an integration between abstractive summarization and entity extraction within a structured pipeline, there by producing summaries that are not only concise but also more informative and organized.

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