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All Journal Jurnal Informatika dan Teknik Elektro Terapan Jurnal Ilmiah KOMPUTASI Journal of Information Technology and Computer Science (JOINTECS) Jurnal Ilmiah Matrik CYCLOTRON Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) IJEEIT : International Journal of Electrical Engineering and Information Technology Applied Technology and Computing Science Journal Progresif: Jurnal Ilmiah Komputer bit-Tech Jurnal Tekinkom (Teknik Informasi dan Komputer) Nusantara Science and Technology Proceedings Teknika Jurnal Ilmiah Teknologi Informasi dan Robotika International Journal of Data Science, Engineering, and Analytics (IJDASEA) International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Sistem Informasi Bisnis (JUNSIBI) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Sistem Informasi dan Ilmu Komputer
Seftin Fitri Ana Wati
Information System, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Social Sciences

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Journal : bit-Tech

 1 
Forecasting Crab Raw Material Inventory in Seafood Culinary Business Using SARIMA and Prophet Methods Carisca Rizky Sanyoko; Rizka Hadiwiyanti; Seftin Fitri Ana Wati
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2676

Abstract

Seafood based culinary businesses face significant challenges in inventory management due to fluctuating and unpredictable customer demand. Inaccurate forecasting can lead to either excess stock, resulting in waste and increased storage costs, or stock shortages, which disrupt production and reduce customer satisfaction. Among the various raw materials used, crab is the most critical, accounting for 80.6% of total raw material demand, making it essential to forecast its demand accurately to maintain operational efficiency and avoid disruptions. This study addresses the inventory problem by applying two time series forecasting methods SARIMA and Prophet to predict weekly crab demand. The performance of both models was evaluated using RMSE and MAE to assess the accuracy and reliability of their predictions over time. The SARIMA model with parameters (2,1,10)(0,1,2)[12] achieved the best forecasting performance, with an RMSE of 1.32752 and MAE of 1.24207, clearly outperforming the Prophet model, which recorded an RMSE of 1.4623 and MAE of 1.3506. These results demonstrate that SARIMA is more effective in capturing seasonal patterns and demand trends in crab usage data. In conclusion, the SARIMA model offers more precise and reliable forecasts, making it a more suitable tool for supporting raw material inventory decision-making in seafood culinary businesses, particularly when dealing with high-demand ingredients such as crab.
Design and Development of a Web-Based Boarding House Management Information System Using RAD Method Mohamad Ilham Praditya Arifatul Nesta; Abdul Rezha Efrat Najaf; Seftin Fitri Ana Wati
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3342

Abstract

The rapid growth of urban migration in Indonesia, particularly among students and workers, has increased the demand for efficient and integrated boarding house management systems. However, many boarding house businesses still rely on manual processes for tenant registration, payment tracking, and data recording, leading to inefficiencies and data inaccuracies. This study aims to design and develop a web-based boarding house management information system to optimize operational performance and enhance service quality for both owners and tenants. The system was developed using the Rapid Application Development (RAD) method, which emphasizes iterative prototyping, user involvement, and rapid feedback to ensure functional alignment with user requirements. The application was built with ReactJS for the frontend, ExpressJS for the backend, and PostgreSQL as the database, integrated with the Midtrans payment gateway to enable secure, real-time transactions. A key contribution of this study is the combination of RAD methodology with Midtrans integration, providing a scalable and user-friendly solution for small-scale property management. The system’s functionality was tested using Black Box Testing, confirming that all features operated correctly according to design specifications. The results demonstrate that the system successfully streamlines management workflows, reduces human error by 25%, and improves the user experience by reducing administrative processing time by 30%. This study contributes to the digital transformation of small-scale property management by demonstrating the feasibility of using low-cost, scalable technologies to enhance operational efficiency and service transparency.
Development of Sales Forecasting and Stock Optimization System Using Least Square and Safety Stock Andika Gosal; Agung Brastama Putra; Seftin Fitri Ana Wati
bit-Tech Vol. 8 No. 3 (2026): bit-Tech - IN PROGRESS
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3388

Abstract

The ongoing digital transformation across business sectors has encouraged micro and small enterprises to adopt information systems that enable accurate data processing and more strategic decision-making. CV. Ragam Jaya is one such business that still depends on manual processes for recording sales transactions and monitoring inventory, resulting in inconsistent stock data, delayed reporting, and limited capability to analyze demand patterns. To address these challenges, this study develops a web-based forecasting and inventory optimization system that integrates Least Square–based demand prediction with Safety Stock calculations. The Rapid Application Development (RAD) framework is utilized to accelerate system construction through iterative prototyping and continuous user involvement. Data were collected through interviews and direct observations to capture operational issues in the existing workflow. The system provides automated forecasting, inventory management, and stock buffer recommendations, enabling users to interpret demand trends more effectively. Experimental evaluation shows that the forecasting module achieves stable trend estimation with an average deviation of less than 8% from historical sales data, indicating strong alignment with actual demand behavior. Blackbox testing was conducted on core modules transactions, forecasting, reporting, and stock optimization and all tests achieved a 100% pass rate, demonstrating consistent system reliability and robustness. The integration of Least Square forecasting and Safety Stock significantly improves inventory planning accuracy by reducing manual discrepancies and supporting timely replenishment decisions. Overall, the developed system is effective in enhancing operational efficiency, minimizing human error, and improving stock control for small distribution businesses seeking to transition toward digitalized management practices.
Co-Authors Abdul Rezha Efrat Najaf Agung Brastama Putra Agussalim Aisha Safa Asy'ari Alfiansyah Adi Pranata Amalia Anjani Arifiyanti Amalia Putri Amanda Salsabilla Hidayah Anastasia Lidya Maukar Anastasia Lidya Maukar Anastasia Lidya Maukar Andika Gosal Anik Vega Vitianingsih Anik Vega Vitianingsih Anik Vega Vitianingsih Anik Yuesti Anindo Saka Fitri Anita Wulansari Anita Wulansari Anita Wulansari, S.Kom., M.Kom Annisa Lusyani Zahra Apol Pribadi Arsya Amalia Ristias Asyari, Aisha Safa Athallah Bariq Hidayat Brillyan Putra Pradana Carisca Rizky Sanyoko Cendana Putri Aulia Dayu Renita Dhian Satria Yuda Kartika Dhian Satria Yudha Kartika Dinda Adisty Yudianto Putri Ditha Lozera Devi Dwi Shahita Efriza Cahya Narendra Eliezer M Putra S Eristya Maya Safitri Eristya Maya Safitri Eristya Maya Safitri Farhan Setiyo Darusman Feby Dwiputra Setyawan Fitri, Anindo Saka Fitri, Anindo Saka Fitri Heni Lusiana Dewi I Gusti Ayu Sri Deviyanti Icha Sinaga Imam Ghozali Intania Rachman Martapura Izra Noor Zahara Aliya Khalid Rijaluddin Litafira Syahadiyanti Mariska Regina RahmaPutri Moch. Syaiful Riza Mochammad Syaiful Riza Moh raihan Romadhoni Moh Rifqi Zamzami Moh Riswandha Imawan Moh. Azzam Priyanto Mohamad Ilham Praditya Arifatul Nesta Mohammad Farizd Nasywa Zahira Ramadhani Nurhaba Djiha Patrisius Ando Duran Putu Anggi Suryantari Ratih Aisyah Ravino Rahman Rendi Panca Wijanarko Rima Tsaniyah Amilatus Sholihah Rizka Hadiwiyanti Rudy Andree Hermawan Sesilia Tiara Rahayu Ada Syachla Malikha Tarisa Kamilia Tarisa Kamilia Venira Citra Sabrina Wahyuni, Eka Dyar Wibowo, Nur Cahyo