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All Journal JRAK: Jurnal Riset Akuntansi dan Komputerisasi Akuntansi Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Komunikasi : Jurnal Komunikasi Moneter : Jurnal Akuntansi dan Keuangan Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INOVTEK Polbeng - Seri Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Perspektif Pendidikan dan Keguruan Jurnal Teknologi Informatika dan Komputer Jurnal Sistem Informasi Abdi Masya Abditeknika - Jurnal Pengabdian Kepada Masyarakat Akasia: Artikel Ilmiah Sistem Informasi Akuntansi JUSTIAN - Jurnal Sistem Informasi Akuntansi Jurnal Abdimas Ekonomi dan Bisnis IMTechno: Journal of Industrial Management and Technology Jurnal Abdimas Komunikasi dan Bahasa Paradigma Journal of Accounting Information System
Mari Rahmawati
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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Digitalisasi Layanan Publik Melalui Platform Terintegrasi Berbasis Laravel Rahmawati, Mari; Supriyatna, Adi; Adly, Sulthan; Suryani, Rani; Saridawati, Saridawati; Sabariah, Etika; Indrarti, Wahyu
IMTechno: Journal of Industrial Management and Technology Vol. 7 No. 1 (2026): Vol. 7 No. 1 (2026): Januari 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/imtechno.v7i1.11488

Abstract

Abstrak - Pelaporan infrastruktur di tingkat desa, masih banyak dilakukan secara manual, sehingga menimbulkan berbagai kendala seperti keterlambatan penanganan, kehilangan data, dan minimnya transparansi antara warga dan pihak desa. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan merancang sistem pelaporan infrastruktur desa berbasis web Laravel yang mempermudah masyarakat dalam melaporkan kerusakan fasilitas umum secara mandiri dan terstruktur. Sistem ini dikembangkan menggunakan metode Rapid Application Development (RAD) yang memungkinkan proses pengembangan dilakukan secara cepat melalui tahapan iteratif dan keterlibatan langsung pengguna. Hasil pengembangan menunjukan bahwa sistem dapat berfungsi dengan baik sesuai kebutuhan tiga peran utama: warga, admin desa, dan kepala desa. Sistem ini juga dilengkapi dengan fitur validasi laporan, unggah bukti foto, serta rekap data dalam format PDF. Penerapan metode RAD terbukti mampu meningkatkan efisiensi waktu pengembangan dan menghasilkan sistem yang adaptif terhadap kebutuhan pengguna. Secara umum, sistem ini memberikan manfaat berupa peningkatan transparansi, partisipasi masyarakat, serta akuntabilitas dalam pengelolaan infrastruktur desa. Kata Kunci: Infrastruktur, RAD, Laravel
OPTIMIZING CAYENNE PEPPER PRICE FORECASTING USING HYBRID SARIMAX-LSTM MODEL FOR FOOD SECURITY Adi Supriyatna; Mari Rahmawati; Burhanudin Rabbani; Asta Wenang; Sulthan Adly
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.7917

Abstract

The price volatility of cayenne pepper in traditional markets significantly impacts household purchasing power and regional inflation. While traditional statistical models can capture seasonal patterns, they often fail to model complex non-linear fluctuations driven by external factors such as weather anomalies and national holidays. To address these limitations, this study proposes a hybrid SARIMAX-LSTM model. The Seasonal AutoRegressive Integrated Moving Average with eXogenous variables (SARIMAX) component is utilized to model linear structures, seasonality, and the influence of exogenous variables (temperature, rainfall, and holidays), whereas the Long Short-Term Memory (LSTM) component specifically models the remaining non-linear patterns within the residuals. Daily data comprising chili prices, weather metrics, and holiday schedules were employed to train and test the model using Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) as performance metrics. Experimental results demonstrate that the proposed hybrid model significantly outperforms the single SARIMAX baseline model, reducing the RMSE by 26.7% (from 11.09 to 8.13) and MAPE by 28.6% (from 23.45% to 16.74%). This approach not only provides a more accurate and robust decision-support tool for price stability but also contributes to the advancement of artificial intelligence-based hybrid methods in the domain of food security.
SIMPLE ARTIFICIAL INTELLIGENCE APPLICATION FOR CLASSIFYING HOUSEHOLD WASTE AT THE NEIGHBORHOOD WASTE BANK Irmawati Carolina; Mari Rahmawati; Al Ghoni Achmed. J; Arifin Salam; M. Arif Budiman; M. Daffa Ramadhani
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.8297

Abstract

Waste management remains a critical environmental issue globally, including in Indonesia, where increasing household waste generation creates significant environmental and social challenges, particularly at the neighborhood level. In community-based Waste Banks, manual sorting processes are often inconsistent due to limited human resources and varying levels of public understanding of waste categories. This study aims to develop and evaluate a lightweight, web-based real-time waste detection and classification system to support community-level waste management. The proposed system utilizes the YOLOv8 object detection architecture implemented through the Ultralytics framework with PyTorch as the deep learning backend, integrated with OpenCV for real-time video processing and Streamlit for web-based deployment. The dataset consists of approximately 9,200 annotated images across 24 waste categories, divided into training, validation, and testing sets, with data augmentation applied to improve robustness. Model performance was evaluated using precision, recall, and mean Average Precision at IoU 0.5 (mAP@0.5). The results demonstrate high detection performance, achieving 99.5% mAP@0.5, 99.4% precision, and 100.0% recall, while maintaining stable real-time detection under varying lighting conditions. However, these results are obtained under relatively controlled dataset conditions; therefore, further evaluation in more diverse real-world environments is necessary to ensure generalization capability. The system enables multi-object detection without requiring specialized hardware, making it accessible for neighborhood-level Waste Banks and providing a practical solution for community-based waste management.
Penerapan Sistem Informasi Akuntansi Pada Pelayanan Apotek Pharm 24 Yogyakarta: Akuntansi; Laporan Keuangan; Pengolahan Data; Aplikasi; MYOB Premier V.16 Mari Rahmawati; Winda Amelia
JRAK: Journal of Accounting Research and Computerized Accounting Vol 12 No 1 (2021): JRAK: Jurnal Riset Akuntansi dan Komputerisasi Akuntansi
Publisher : Jurusan Akuntansi Fakultas Ekonomi Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/jrak.v12i1.2392

Abstract

Abstract The running of business activities, of course, requires important components such as accounting that determines whether the business is running smoothly or not. With accounting, business owners will know the possibilities that will happen in the future. To find out this possibility, companies need financial reports to obtain information about the company's losses or profits. However, there are still many business fields that have problems in presenting financial statements that are inaccurate and time-consuming. Based on this, the authors conducted research on the accounting data processing process at Pharm 24 Pharmacy which still uses manual recording where the authors make observations and interviews with the system at the Pharmacy, then the recording is applied to a computerized recording system using the MYOB Premier V. Accounting Application. 16. The purpose of this study is to determine the resulting accounting process after computerized processing of accounting data and then make comparisons with a manual accounting recording system. The results of this study can assist the Pharm 24 Pharmacy in processing their business accounting data to make it more effective and efficient in recording so that the resulting financial reports are more accurate. Keywords: Accounting; Financial statements; Data processing; Application; MYOB Premier V.16
Co-Authors Ade Fitria Lestari Adi Supriyatna Adly, Sulthan Al Ghoni Achmed. J Amelia, Winda Amin Kusniawati Annissa Martriani Arief Setya Budi Arifin Salam Asta Wenang Ayu Manik Martawiharjo Budi, Arief Setya Burhanudin Rabbani Christien, Dahlia Cindya Windari Denny Erica Etika Sabariah Evana Intan Kumalasari Fajar Sidik Hardani, Sri Haryanto Haryanto Haryanto Haryanto Indarti, Wahyu Irmawati Carolina Irwin Ananta Vidada Khusnul Khotimah Khuzaipi Supena M. Arif Budiman M. Daffa Ramadhani Maya May Syarah Melan Susanti Melan Susanti Musthafa Kamil Rangga Kori Lesmana Rusma Insan Nurachim Rusma Insan Nurachim Saridawati Sulthan Adly Suminten, Suminten Suryani, Rani Syarif Hidayat HR Teni Agustina Tukan, Mechtildis Berliana Wahyu Indrarti Wangsit Supeno Winda Amelia Yuma Yaumaidzinnaimah