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All Journal Journal of Computer System and Informatics (JoSYC) Journal Of Informatics And Busisnes
Piliang, Dinara Sarvina
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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Implementasi Sistem Manajemen Antrian Pendaftaran Pasien Pada Rumah Sakit Islam Malahayati Untuk Mengurangi Waktu Tunggu Piliang, Dinara Sarvina; Siregar, Silviana Ayu; Siahaan, Ahmad Taufik Al Afkari
Journal Of Informatics And Busisnes Vol. 1 No. 2 (2023): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v1i3.371

Abstract

To reduce patient waiting time, this research explores and implements a patient registration queue management system at the Malahayati Islamic Hospital. The method uses a research and development (RnD) approach to design, develop, and implement an efficient system for managing the patient registration process. This research involves preparation, design, development, evaluation and revision stages. It collects data through direct observation, historical analysis of wait times, and patient satisfaction questionnaires to evaluate the impact of system implementation on patient wait times, registration efficiency, and patient satisfaction. The research results show that the implementation of the queue management system has succeeded in reducing patient waiting time and increasing the efficiency of the registration process. Patient satisfaction assessments also showed that these changes were well received. The results show that the implementation of the patient registration queue management system at Malahayati Islamic Hospital improves health services and reduces patient waiting time. This research provides a basis for hospitals and other healthcare institutions to consider implementing this technology in more efficient administrative processes and increasing patient satisfaction.
Pengenalan Pola untuk Identifikasi Jenis Kain Tenun Sibolga Menggunakan Metode Principal Component Analysis dan K-Nearest Neighbours Piliang, Dinara Sarvina; Sriani, Sriani
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5727

Abstract

Sibolga woven fabric is one of Indonesia's traditional fabrics that has high artistic and cultural value. Sibolga woven fabric motifs are usually inspired by nature, such as flora, fauna, and local culture. Sibolga woven fabric and is famous for its unique and diverse motifs. Sibolga woven fabric motifs are usually inspired by nature, such as flora, fauna, and local culture. Manually classifying the types of Sibolga woven fabrics is a time-consuming process and requires special expertise. This causes the complexity of motifs and color variations found in Sibolga woven fabrics. Therefore, a system is needed that can classify the types of Sibolga woven fabrics automatically and accurately. The method used in this study is the feature extraction method, which is to extract new features from the initial data set. One of the feature extraction techniques that can be used is Principal Component Analysis (PCA). The use of PCA can be used to reduce the lower dimensions of data with very little risk of information loss. The study also uses KNN because this algorithm is used effectively to classify fabrics based on these key features, thereby reducing computational complexity and improving accuracy. The results of the classification of sibolga woven fabrics using the K-NN algorithm by utilizing the feature extraction process using PCA obtained an accuracy of 72%. It can be concluded that the classification of sibolga woven fabrics using an algorithm using the K-Nearest Neighbours (K-NN) algorithm can be done by extracting features using the PCA method (Pricipal Component Analysis).
Co-Authors Siahaan, Ahmad Taufik Al Afkari Siregar, Silviana Ayu