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All Journal Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sistem Informasi dan Bisnis Cerdas Jurnal Ilmiah KOMPUTASI Jurnal Riset Informatika JTIM : Jurnal Teknologi Informasi dan Multimedia bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) Jifosi Nusantara Science and Technology Proceedings ABSYARA: Jurnal Pengabdian Pada Masyarakat SPRINTER: Jurnal Ilmu Olahraga Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Sistem Informasi dan Bisnis Cerdas JOINCS (Journal of Informatics, Network, and Computer Science) Madani: Multidisciplinary Scientific Journal Kreativitas Pada Pengabdian Masyarakat (Krepa) AMMA : Jurnal Pengabdian Masyarakat Student Research Journal Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Router : Jurnal Teknik Informatika dan Terapan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Rizka Hadiwiyanti
Universitas Pembangunan Nasional Veteran Jawa Timur
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Journal : bit-Tech

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Information System Development for Dental Clinic Using ReactJS and Prisma ORM Farhan, Farrel; Wibowo, Nur Cahyo; Hadiwiyanti, Rizka
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.v8i1.2616

Abstract

drg. Irna Dental Clinic is a healthcare facility that still uses a semi-manual system for patient registration and medical recordkeeping, leading to various issues such as service delays, recording errors, and difficulties in managing patient data. This study aims to design and develop a web-based information system that integrates administrative processes, including patient registration, appointment scheduling, medical record management, and online consultation features. The system was developed using the Software Development Life Cycle (SDLC) Waterfall model, employing modern web technologies for the frontend, user interface design, and database management. System testing was conducted using the Black Box Testing method with 48 test cases, all of which were successfully executed as expected. This indicates that all the core features of the system function properly and consistently. The results show that the system can improve the clinic’s operational efficiency, simplify access to information, and support more organized and modern patient services. By transitioning from a semi-manual system to a fully digital one, the clinic can provide faster, more accurate, and easily accessible services, significantly enhancing the overall patient experience and helping the clinic keep up with technological advancements in healthcare service delivery. Additionally, the feedback from the clinic's staff (doctors and admins) confirmed that the system meets the operational goals and provides a more efficient solution compared to the previous manual processes.
Forecasting Crab Raw Material Inventory in Seafood Culinary Business Using SARIMA and Prophet Methods Sanyoko, Carisca Rizky; 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.
Co-Authors Abdul Rezha Efrat Najaf Achmad Afandi Achmad Afandi Achmad Afandi Achmad Afandi Adha, Didan Rizky Adin Nugroho, Himas Agung Brastama Putra Agussalim, Agussalim Agussalim, Agussalim Alfayza, Dimas Amalia Anjani Arifiyanti Anindo Saka Fitri Arimawan, Kesya Sakha Nesya Asif Faroqi Asyari, Aisha Safa Ayu Ithriah, Syurfah Bagas Adil Putrajaya Brastama Putra, Agung Budijanto Chindy Hanggara Rosa Indah Chindy Hanggara Rosa Indah Dhian Satria Yudha Kartika Doddy Ridwandono Erlin Ayu Khrisnawati Erlin Ayu Khrisnawati Farhan, Farrel Ferry Kurniawan Ferry Kurniawan Gading Putri Diniarti Hadi Sugiyanto Herowati, Ayu Budy Heowati Irwan Afandi, Mohamad Irwan Afandi, Mohammad Isro Ani Widayanti Kamila, Syafiatul Kamilah, Ismiazzah M.Reza Ishadi Fadilah Marga Kusumantara, Prisa Muhammad Januar Pribadi Muhammad Reza Ishadi Fadilah Mulia, Radinka Frisia Murod, Alfin Murtadho Yanwar, Ringgo Nilwanda, Leona Elsa Noviardi P, Yovika Nugraha, Abrianto Nur Cahyo Wibowo Octavianti, Nabila Paulus Rah Adi Pawitra Prasasti Karunia F. A Putri, Youlan Indira Ramadhan, Jose Bagus Ratno Susanto Ratno Susanto Ratno Susanto Sanyoko, Carisca Rizky Seftin Fitri Ana Wati Simanjorang, Veby Pebiola Br Suci, Tamariska Laras Suryantari, Putu Anggi Titik Purwanti Tri Diana Rimadhani Tri Lathif Mardi Suryanto Uce Indahyanti Wahyuni, Eka Dyar Wasenanto, Bergas Wibowo, Annisa Raudya Wibowo Wibowo, Nur Cahyo Winarno Yuskhil Mushofi Yusuf Al Ma'ruf, Achmad