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All Journal Indonesian Journal of Information System Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) INOVTEK Polbeng - Seri Informatika
Evanita
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Perancangan sistem informasi pencatatan keuangan di TK Lestari berbasis website Vera Meirotun Hidayatika; Aditya Akbar Riadi; Evanita
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 4 No. 1 (2024): Maret
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v4i1.2825

Abstract

Proposal skripsi ini dibuat untuk memenuhi sebuah tujuan yaitu untuk membantu proses pencatatan dan pengelolaan keuangan menggunakan sistem informasi pencatatan keuangan bebasis web. Saat ini, sistem informasi berbasis komputer merupakan kebutuhan utama untuk akses informasi di berbagai sektor, termasuk pendidikan. Fungsinya mencakup pengumpulan, pengolahan, dan penyajian informasi untuk mendukung pengambilan keputusan. Institusi pendidikan seperti TK Lestari di Pati, Jawa Tengah, memanfaatkan teknologi untuk efektivitas pengelolaan keuangan. Namun, pengelolaan keuangan di TK Lestari masih mengandalkan pencatatan manual, menyebabkan kompleksitas dan potensi kesalahan dalam laporan keuangan. Oleh karena out, penulis mengadopsi dan memilih judul pengembangan sistem informasi laporan keuangan untuk mendukung administrasi TK Lestari. Tujuannya adalah menyederhanakan dan mengorganisir laporan keuangan sesuai standar akuntansi, meminimalkan kesalahan, dan memudahkan proses komputerisasi data.
Website-Based Management and Financial Information System using Prototyping Method at GITJ Puncel Church Yehezkiel Febri Kurniawan; Aditya Akbar Riadi; Evanita
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/p9rvkh62

Abstract

This study aims to design and implement a web-based information system to manage ministry and financial activities at GITJ Puncel Church, focusing on improving data accuracy, reporting transparency, and operational efficiency. The system was developed using the Prototyping method with an iterative approach, while data were collected through observations, structured interviews with church administrators, and document analysis. The system was built using PHP with the Laravel framework and MySQL database, and tested using the Black Box Testing method. This research addresses gaps in previous studies that did not effectively integrate ministry management features with financial administration, nor evaluate the quantitative impact on operational efficiency. The results show that the system successfully reduced financial recording time from 3–4 hours to 30 minutes (an 87.5% efficiency improvement), decreased recording errors from 15% to 2% (an 86.7% reduction in error rate), and enhanced reporting transparency through an automatic PDF export feature. Testing confirmed that all system functionalities operated 100% according to specifications. The study's limitations include its scope being limited to a single church with 150 congregants, a three-month implementation period, and no evaluation of long-term impacts on congregation participation. Overall, this research contributes a model for integrating ministry and financial systems for small to mid-sized religious organizations, and offers a framework for evaluating the effectiveness of web-based information systems in non-profit contexts.
Development of Foot Mat Sensor Technology for Foot Identification and BMI-Based Biomechanical Risk Prediction Evanita; Slamet Khoeron; Andre Tri Saputra; Curie Habiba
Indonesian Journal of Information Systems Vol. 8 No. 1 (2025): August 2025
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v8i1.11505

Abstract

This study advances the Foot Mat Sensor (FMS) technology to discern foot morphology and forecast biomechanical vulnerabilities predicated on Body Mass Index (BMI). The proposed system amalgamates the analysis of plantar pressure with various biomechanical parameters, including heel pressure, midfoot pressure, forefoot pressure, and foot contact area (FCA). Data were collected from ten participants exhibiting a spectrum of BMI, foot morphology (High Arch, Normal Arch, and Low Arch), foot length, contact area, and asymmetrical plantar pressure. The findings indicated a statistically significant correlation between elevated BMI (>25), irregular plantar pressure distribution, and heightened biomechanical risk. Participants with high BMI and Low Arch (LA) foot morphology demonstrated an augmented risk, with plantar pressure asymmetry ≥20 kPa as the principal indicator. The prediction model founded on the Random Forest algorithm attained an accuracy of 85% in categorizing biomechanical risk into low, medium, and high classifications. The Digital Footprint Scanner technology, innovated through this research, is anticipated to augment the efficacy of personalized and precise diagnostics and the prophylaxis of biomechanical injuries. This endeavor contributes to formulating a data-driven system for the early detection of biomechanical risks, with applications in medicine, athletics, and rehabilitation.
Co-Authors Aditya Akbar Riadi Andre Tri Saputra Curie Habiba Slamet Khoeron Vera Meirotun Hidayatika Yehezkiel Febri Kurniawan