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Journal : SMATIKA

Rancangan dan Implementasi Learning Managements System Berbasis Web (Studi Kasus: SMA Nahdhotul Islam Sri Tiga) Nurul Huda; Kasino Kasino
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 12 No 02 (2022): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v12i02.707

Abstract

The use of technology in the era of the COVID-19 virus is increasingly demanded to be used throughout the world. The impact of changes that are seen very clearly in this era of covid 19 is in the field of education. Where previously the education system was still running normally with face to face, turned into distance learning (online). To support distance learning, a technology in the field of education is needed, one of which is a learning management system (LMS) such as e-learning that can be used in these conditions. SMA Nahdhotul Islam Sri Tiga is an official high school education, this school has quite qualified learning and educational facilities such as a computer lab and a fairly good internet connection. However, even in this era of covid 19, the teaching and learning process activities used in online learning are not optimal. Therefore, to overcome this problem, an e-learning system is designed that can assist in the distance learning process at SMA Nahdhotul Islam Sri Tiga more effectively and make it easier for teachers to distribute materials and students to receive materials. The system development method used for the design is the Prototype method. The prototype method is one of the new methods in the cycle of information system development, not only from existing information system development methods, but also as a flow in system development where system development and users can experiment from the initial development process. In the prototype method there are 3 stages in system development, namely the communication stage, the design stage and the testing stage.
Penerapan Metode Multilevel Queue Antrian Pendaftaran Pasien pada Klinik Talang Kelapa Berbasis Android Nurul Huda; Novriyadi Novriyadi
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 01 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i01.722

Abstract

Information regarding online patient registration is urgently needed by the people of Palembang City. But in reality, there are still many registrations that have not done online registration at clinics and hospitals. So we need an application that makes it easier for people to register online. The author chose the Talang Kelapa Clinic as a place that needs to register online so that people can easily register at the Talang Kelapa Clinic. The implementation of the application uses the Multilevel Queue (MLQ) Method. This method is the basic idea of an algorithm based on a process priority system. So, each process can be grouped based on priority. The use of appropriate and varied applications in the online registration process can make it easier to register online and can reduce the attitude of users who have to register manually.
Implementasi Data Mining menggunakan Metode Naïve Bayes pada Persediaan Obatobatan di RSUD Kayuagung Nurul Huda; Kevin Olivia Indri Putri
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 02 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i02.1383

Abstract

Hospitals today have widely adopted inventory systems for managing drug supplies, which involve the process of big data analysis to identify relevant patterns, relationships, and trends in the drug inventory data. The goal is to optimize stock management, reduce waste, and ensure the availability of the right medications at the right time. Effective and efficient drug inventory management is a crucial aspect of hospital operations, ensuring timely availability of medications and minimizing the risks of shortages or overstocking. In this study, the Naïve Bayes method was chosen for its ability to handle large and complex datasets and produce accurate predictions. The research process involved several stages: problem identification, problem formulation, data collection, model classification creation, application development, model implementation, research testing, and report preparation. The findings of this study demonstrate the significant potential of data mining in inventory management within the healthcare sector.