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All Journal U-NET Jurnal Teknik Informatika Journal of Student Development Information System (JoSDIS) CSRID
Rahmad Aditya
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Computer Science & IT

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Peringatan Dini Bencana Banjir Berbasis Iot Menggunakan Pendekatan Metode Prediktif Aditya, Rahmad; Samsir, Samsir; Azhar, Wahyu; Rahmad, Iwan Fitrianto
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 2 (2024): June 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.16.2.2024.161-173

Abstract

Floods are among the natural disasters that can cause substantial damage, particularly in tourist locations with high visitor traffic. This paper proposes the implementation of an IoT-based predictive method for early flood disaster warnings in tourist areas. The proposed system utilizes IoT sensors to monitor environmental conditions in real-time and employs machine learning-based predictive models to forecast the likelihood of flooding. By continuously collecting and analyzing data such as rainfall, river water levels, and soil moisture, the system can predict potential flood events with a relatively high degree of accuracy. The research involved developing and testing the system in a controlled environment to evaluate its performance. The results demonstrated that the system could provide timely early warnings, allowing tourist site managers to take necessary preventive measures to protect visitors and infrastructure. The implementation of such a system can significantly reduce the impact of floods by providing actionable information well in advance of potential disasters. This early warning capability is crucial in tourist areas where rapid response is necessary to ensure the safety and well-being of visitors. Overall, the study highlights the effectiveness of combining IoT technology with predictive analytics in disaster management and risk mitigation
Sistem Pendukung Keputusan Validasi Data Pegawai Polres Labuhanbatu dengan Metode AHP (Analytical Hierarchy Process) Samsir, Samsir; Dalimunthe, Abdul Hakim; Aditya, Rahmad
Journal of Student Development Information System (JoSDIS) Vol 5, No 2: JoSDIS | Juli 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/josdis.v5i2.7805

Abstract

Shipping device processing is based on inquiries and orders from the warehouse department. If the warehouse does not place orders, the sales process will not be completed so the warehouse is often empty and the revenue method is stuck. The process of ordering scientific gadgets requires approval from the stock department to place an order, so it takes a lot of time to review stock devices. PT. Murti Indah Sentosa is a clinical equipment distribution organization. With the DES method approach, this can overcome the problems faced by employers. because double exponential smoothing is used while there are seasonal factors of fashion and behavior within the inMenuation. The double exponential smoothing method can be used for most types of table-bound and table-unbound inMenuation, as long as the data does not include seasonality. The effect of this observation is that through the application of the double exponential smoothing technique, clinical tool forecast reports can be obtained and determined in a timely and environmentally friendly manner and applied within the organization to produce an inventory effect of scientific tools according to the dreams and needs of the company. agent. In the next season, garage spaces can be filled and goals can be scored.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMILIHAN DOSEN PEMBIMBING SKRIPSI FAKULTAS ILMU KOMPUTER UNIVERSITAS AL WASHLIYAH (UNIVA) LABUHANBATU BERDASARKAN MINAT MAHASISWA DENGAN METODE AHP Sahbudin Ritonga, Desi Deliyanti Ritonga; Subagio, S; Aditya, Rahmad
U-NET Jurnal Teknik Informatika Vol. 8 No. 2 (2024): U-NET Jurnal Teknik Informatika | Agustus
Publisher : LPPM Universitas Al Washliyah Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52332/u-net.v8i2.813

Abstract

Determination of the thesis supervisor at the Faculty of Computer science, Al Washliyah University (UNIVA) Labuhanbtu is currently carried out by determining directly by determining the thesis supervisor to direct and assist in completing the thesis. The main objective of this research is to determine the thesis supervisor of the Faculty Computer science, University of Al Washliyah (UNIVA) Labuhanbatu, the method used in determining the supervisor is using the AHP (Analytical Hierarchy Process) method. The creation of this system begins. Observing and searching for data, analyzing and collecting data, designing, programming, and the application uses the visual basic programming language, source code and access database for its database. The final result of this research is to produce a decision support system for determining thesis supervisor using the AHP (Analytical Hierarchy Process) method.
Co-Authors Azhar, Wahyu Dalimunthe, Abdul Hakim Iwan Fitrianto Rahmad M. Coesamin Nurhanurawati Nurhanurawati Sahbudin Ritonga, Desi Deliyanti Ritonga Samsir Samsir, Samsir Subagio, S Subagio, Selamet