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Calculus-Based Approaches for Enhancing Performance Efficiency in Computational Information System Zalianti, Ghina; Putri, Anistasya Elsa; Haq, Nabila Jaisya; Cahyani, Regita; Herlangga, Pandu; Baihaqqi, Risayd
Jurnal Penelitian Ilmu Pendidikan Indonesia Vol. 5 No. 1 (2026)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpion.v5i1.934

Abstract

The rapid expansion of computation-based information systems has intensified the demand for high performance, efficiency, and reliability in data processing environments. Increasing data volumes, system complexity, and real-time service requirements pose significant challenges to system optimization. This study aims to examine how calculus-based approaches contribute to enhancing performance efficiency in computational information systems. A qualitative literature review method was employed by analyzing peer-reviewed journal articles, conference proceedings, and authoritative technical reports published between 2015 and 2024. The analysis focuses on the application of differential and integral calculus in algorithm optimization, resource allocation, and system performance modeling. The findings indicate that calculus-based techniques play a critical role in reducing computational complexity, improving processing speed, and optimizing resource utilization. Calculus enables systematic performance evaluation by modeling rates of change and cumulative system behavior, allowing developers to identify optimal operational conditions. This study concludes that calculus-based approaches provide a strong mathematical foundation for improving efficiency and scalability in modern computational information systems.
A Systematic Calculus-Based Analytical Framework for Enhancing Performance Efficiency, Scalability, and Resource Optimization in Data-Intensive Computational Information Systems Revallina, Aisyah; Sulistyah, Ambar; Salsabilla, Khanien; Ardha, Alif; Wijaya, M Razan; Wijaya, Padli Arya
Jurnal Penelitian Ilmu Pendidikan Indonesia Vol. 5 No. 1 (2026)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jpion.v5i1.948

Abstract

The continuous expansion of data-intensive computational information systems has intensified the demand for high performance efficiency, scalability, and optimal resource utilization, while traditional heuristic-based optimization methods often lack analytical rigor and consistency when applied to increasingly complex and dynamic computational environments. This study proposes a systematic calculus-based analytical framework to enhance performance efficiency by utilizing derivatives and integrals as fundamental tools for modeling system behavior, analyzing performance dynamics, and identifying optimal operational conditions. Through an extensive and structured review of authoritative books and peer-reviewed scientific literature, the study examines how calculus-based methods enable precise evaluation of performance sensitivity, rates of change, and cumulative resource consumption over time. The findings indicate that calculus-based optimization significantly improves key performance indicators, including response time, throughput, scalability, and resource efficiency, particularly in modern computing contexts such as cloud computing, distributed systems, big data platforms, and machine learning applications. Furthermore, gradient-based techniques grounded in calculus are shown to enhance computational efficiency, system adaptability, and predictive accuracy in intelligent information systems. Overall, this study demonstrates that integrating calculus-based analytical approaches provides a rigorous and systematic foundation for performance optimization, supports the development of efficient and scalable computational information systems, and offers a strong theoretical basis for future research on hybrid optimization frameworks that combine mathematical modeling with emerging computational paradigms.
Design Of A Stock Management Information System Using The First In First Out (FIFO) Method In One Of The MSMEs In Bandung Rizki, Muhamad; Budiman, Dheni Apriantsani; Supriatna, Ade; Retnaldi, Eko
Informatics Management, Engineering and Information System Journal Vol. 3 No. 2 (2025): Informatics Management, Engineering and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

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

Abstract

The stock management process is essential for SMEs, as one SME in Bandung employs a manual approach that often requires considerable time and data collection.  The swift progression of technology facilitates the presentation of information with ease, speed, and efficiency.  Manual stock management can be converted into a computerised system referred to as stock management information systems.  A technology-driven stock management system will enhance efficiency by supplanting the manual system with a systematic approach.  This project aims to analyze and develop a web-based stock management information system suitable for a small to medium-sized enterprise in Bandung. The research conducted is descriptive and utilises a qualitative methodology.  The inventory management approach employed is FIFO (First In First Out), whereas the system development methodology adheres to the Waterfall SDLC model.  Flowcharts, entity relationship diagrams, and data flow diagrams underpin the design.  This stock management system is constructed with PHP as the programming language, Visual Studio Code as the code editor, XAMPP as the web server, and MySQL as the database.  The implementation of the FIFO approach in inventory management is expected to resolve problems associated with dim sum being stored for extended periods in the warehouse, resulting from the prior flow of items, thereby enhancing the accuracy and efficiency of stock management.  This research should be further developed into a mobile application to provide user access via cellphones.
Design And Implementation Of The Latulip Integrated Service Pos Information System Using The Gulud Regression Method Irawati, Ria; Ibrahim, Rohmat Nur; Suwarno, Adi; Lesmana, Berry; Fawziawati, Dewi
Informatics Management, Engineering and Information System Journal Vol. 3 No. 2 (2025): Informatics Management, Engineering and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

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

Abstract

The Latulip Integrated Service Post is essential for overseeing maternity and child health within the community.  An integrated information system has been designed utilising the rolling regression method to improve the efficiency and efficacy of data management and facilitate superior decision-making.  This system is designed to oversee critical components of the integrated service post, encompassing child data, maternal data, immunization schedules, child development monitoring, activity schedules, and health articles.  The system offers easily accessible and interactive capabilities through three primary stakeholders: parents, community health workers, and administrators.  The rolling regression technique is utilised to examine and forecast child development using existing historical data.  This analysis enables the system to provide more precise recommendations regarding children's health needs and to monitor their development consistently.  The deployment of this method has demonstrated efficacy in enhancing the quality of information provided to users and aiding community health professionals in making more informed decisions about health interventions.  The findings demonstrate that the Latulip Integrated Service Post information system can proficiently integrate diverse data, deliver reliable analysis, and provide substantial support for the operations of the integrated service post.  Consequently, this system is anticipated to function as a prototype for the creation of more integrated service information systems across diverse geographies.
ANALISIS PENERAPAN PHASES EMBOK DALAM PENYELENGGARAAN EVENT INTERMEDIA INFORMATION TECHNOLOGY COMPETITION 2025 Febri Pratama; Yunan Yuga Pratama; Handika Pratama; Ilham Albana
Jurnal Media Akademik (JMA) Vol. 4 No. 1 (2026): JURNAL MEDIA AKADEMIK Edisi Januari
Publisher : PT. Media Akademik Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62281/33njd233

Abstract

Intermedia Information Technology Competition (IITC) 2025 merupakan event kompetisi teknologi tingkat nasional yang diselenggarakan oleh UKM Intermedia Universitas Amikom Purwokerto dengan rangkaian kegiatan lomba, seminar, dan awarding. Penelitian ini bertujuan menganalisis penerapan Phases pada kerangka Event Management Body of Knowledge (EMBOK) dalam penyelenggaraan IITC 2025. Penelitian menggunakan pendekatan kualitatif deskriptif dengan metode studi kasus. Data dikumpulkan melalui kuesioner terbuka peserta sebagai data primer serta dokumen Laporan Pertanggungjawaban (LPJ) dan dokumen pendukung panitia sebagai data sekunder. Analisis dilakukan dengan mengklasifikasikan temuan ke dalam lima fase EMBOK: initiation, planning, implementation, event, dan closure. Hasil penelitian menunjukkan bahwa fase initiation ditandai perumusan tema dan identitas event; fase planning terlaksana melalui perencanaan yang konsisten dan penyusunan panduan teknis; fase implementation dan event berjalan sesuai rancangan, termasuk dukungan mitra serta pelaksanaan acara puncak sesuai rundown; dan fase closure dilakukan melalui evaluasi internal serta umpan balik peserta. Temuan ini menegaskan bahwa Phases EMBOK efektif untuk memetakan proses penyelenggaraan event kompetisi teknologi secara terstruktur dan dapat menjadi acuan peningkatan penyelenggaraan pada edisi berikutnya.
The Poncokusumo Village Information System In The Context Of Moving Towards A Digital Village Arief Andy Soebroto; Agi Putra Kharisma; Diva Kurnianingtyas; Syakirah Dwi Anisa; Charles Eugene; Annisa Indah Fitriani
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.4956

Abstract

Manual administrative processes in Poncokusumo Village have long been a source of inefficiency, resulting in common problems such as service delays, restricted public access to information, and difficulties with data archiving. To tackle these issues, this study set out to analyze the impact of the Sistem Informasi Manajemen Desa/Kelurahan (SIMDEK) on the effectiveness of village administration. The research employed the Community-Based Participatory Action Research (CBPAR) method, utilizing a combination of questionnaires and the Wilcoxon test to assess the understanding of the SIMDEK website among village officials and residents. The primary goal was to see if the system could genuinely improve administrative efficiency and transparency. The findings from the data analysis were compelling. The study's results demonstrated that the SIMDEK training had a significant positive effect on improving the understanding of village residents. This was statistically confirmed by an Asymp. Sig (2-tailed) value that was smaller than the significance level α, which is the standard measure for statistical significance. Based on these outcomes, the conclusion is clear: the implementation of SIMDEK can markedly improve the speed of services, the accuracy of data processing, and the transparency of information within Poncokusumo Village. This study holds significant implications, providing a strong case for village governments to expand the use of SIMDEK. Doing so is not just a technological upgrade; it represents a strategic and necessary step toward the broader digital transformation of public services, ensuring a more responsive and accountable local government for the community.
Financing model for demand response information services with bundled incentives Yuliza, Evi; Puspita, Fitri Maya; Rahayu, Fridha Aprisa
International Journal of Advances in Applied Sciences Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i4.pp1229-1240

Abstract

This study attempts to build a new model for information service financing schemes by considering utility functions to measure heterogeneous consumer satisfaction. This model was developed by involving a combination of reverse charging, demand response, and heterogeneous incentive models, and considering the quality of user service measured by a quasi-linear utility function against the information service financing scheme. The incentive financing scheme is applied to a local data server, including traffic during peak hours and off-peak hours. This internet incentive financing model is solved using the LINGO 13.0 application. Furthermore, the development model for incentive financing for information services based on demand response and bundling in the information service financing scheme is subjected to sensitivity analysis with the aim of identifying parameters that affect model performance. Based on the analysis that has been done, the results of this study indicate that the new model in the incentive financing scheme for information services with a quasi-linear utility function involving a combination of reverse charging, demand response, and heterogeneous incentive models produces an optimal solution in a fixed cost financing scheme for data traffic usage during peak hours and off-peak hours.
Temporal Patterns Of The Top Ten Diseases At Darussalam, Community Health Center In 2025 : An Epidemiological Analysis Using Routine Health Information System Data Nurcholisah Fitra; Ruslan Zuhair; Kiki Rismadi
Journal of Innovative and Creativity Vol. 6 No. 1 (2026)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v6i1.7556

Abstract

This study aimed to analyze the temporal patterns of the top ten diseases reported at Darussalam Community Health Center in 2025 using routine health information system (RHIS) data. Understanding disease patterns over time is essential for strengthening primary health care services, improving disease prevention strategies, and supporting evidence-based decision-making at the local level. By examining temporal variations in morbidity, this study seeks to identify priority health problems and periods of increased disease burden that require targeted interventions. This study employed a quantitative descriptive epidemiological approach with a retrospective design. Secondary data were obtained from RHIS records of outpatient visits at Darussalam Community Health Center for the period January–December 2025. The study population comprised all recorded morbidity cases during the study period. A total population approach was used, and the top ten diseases were identified based on the highest cumulative number of reported cases. Data were analyzed using descriptive epidemiological methods, including monthly and quarterly trend analysis, and were presented in the form of tables and temporal distributions to illustrate disease patterns over time.The findings showed that a limited number of disease categories accounted for the majority of outpatient visits in 2025. Acute respiratory infections consistently ranked as the leading cause of morbidity and exhibited clear temporal variation, with higher incidence during specific months. Non-communicable diseases, particularly hypertension and diabetes mellitus, demonstrated stable patterns throughout the year, indicating a persistent demand for chronic disease management. Gastrointestinal and skin-related diseases showed seasonal fluctuations, with increased cases during certain periods. Overall, the highest disease burden was observed in the later months of the year. This study highlights the value of RHIS data in identifying temporal disease patterns at the primary health care level. Regular analysis of routine morbidity data can enhance service responsiveness, support targeted preventive and promotive interventions, and improve resource allocation. Integrating temporal analysis into routine monitoring activities is essential for strengthening evidence-based primary health care planning.
Evaluation of the Utilization of the Civil Service Information System (SIASN) Application for Name and NIP Correction Services Naibaho, Kanro Johannes; Supriyatno, Budi; Hakim, Azis
Dinasti International Journal of Digital Business Management Vol. 7 No. 1 (2025): Dinasti International Journal of Digital Business Management (December 2025 - J
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijdbm.v7i1.6127

Abstract

Efficient and accessible civil service is an important aspect of a country's development. Indonesia, as a country with a large and diverse civil service and a vast territory, faces complex challenges in providing equitable access to civil service for all civil servants. However, with rapid advances in information and communication technology, electronic-based government systems have emerged as a potential solution to improve service accessibility in Indonesia. The purpose of this study is to evaluate electronic-based government systems in improving the accessibility of public services in Indonesia and the benefits generated for the civil service (ASN). The Civil Service Information System (SIASN) is a digital platform developed by the State Civil Service Agency to manage ASN data and information in Indonesia. This study aims to evaluate the SIASN-based name and NIP correction service policy based on State Civil Service Agency Regulation Number 7 of 2023. This study uses a descriptive analytical approach by collecting data through literature studies and analysis of related documents. The results show that electronic-based government systems play an important role in improving the accessibility of public services and civil service in Indonesia. By reducing physical barriers, increasing efficiency, and providing additional benefits such as transparency and more active public participation, these systems can accelerate public service processes and increase the satisfaction of the civil service. To optimize the role of the electronic-based government system, joint efforts are needed between the civil service (ASN) and personnel managers in improving infrastructure, digital literacy, and data protection in order to accelerate personnel services in terms of correcting the names and NIP of civil servants (ASN) through the SKK SIASN application of the Civil Service National.
Analysis of the Role of Customer Engagement in Mediating the Effect of Video Information Quality and Perceived Authenticity on Purchase Intention: A Study on Kick Avenue TikTok Nilna Muna; I Putu Indra Wiguna
Al-Kharaj: Journal of Islamic Economic and Business Vol. 8 No. 1 (2026): All articles in this issue include authors from 3 countries of origin (Indonesi
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v8i1.8873

Abstract

The rapid development of social commerce on TikTok has changed consumer purchasing behavior in Indonesia, but the mediating role of customer engagement between video information quality, perceived authenticity, and purchase intention remains underexplored, especially for premium sneaker brands like Kick Avenue. This study aims to analyze the mediating effect of customer engagement on the influence of Video Information Quality (VIQ) and Perceived Authenticity (PA) on Purchase Intention (PI). Using an explanatory quantitative design with a cross-sectional online survey (n=240 purposive samples of TikTok users aged ≥17 who viewed Kick Avenue content), data were collected through a 20-item Likert-4 scale questionnaire adapted from validated sources and analyzed with SEM-PLS on SmartPLS 4.0. The results showed significant direct effects (VIQ→PI β=0.386; PA→PI β=0.450; CE→PI β=0.394, all p<0.001) and partial mediation (VIQ→CE→PI β=0.174; PA→CE→PI β=0.107, p<0.001), explaining 69.2% of the variance in CE and 41.8% of the variance in PI (Q²=0.821). In conclusion, quality and authentic video content drives engagement to increase purchase intention, providing guidance for TikTok strategies for retailers.

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