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INDONESIA
Jurnal Informasi dan Teknologi
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 27149730     EISSN : 27149730     DOI : https://doi.org/10.37034/jidt
Core Subject : Science,
Computer Science & IT
Jurnal Informasi & Teknologi media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "2022, Vol. 4, No. 2" : 5 Documents clear
Prediksi Pemakaian Obat Kronis Menggunakan Metode Monte Carlo Jefri Rahmad Mulia; Gunadi Widi Nurcahyo
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i2.198

Abstract

The hospital is one of the places visited to get treatment services, the hospital also provides treatment services in the form of physical examinations, supporting examinations and also pharmaceutical services to get drugs. Pharmacy services in hospitals are run by a unit or installation which is generally called the Pharmacy Installation. Pharmacy installations must ensure that the supply of drugs is optimally met, so that there is no buildup or shortage of drug stocks. Drug supply management is very crucial because the Pharmacy Installation plays an important role in supporting hospital revenues. Good planning must also be accompanied by proper management and monitoring (controlling) of drug stocks and periodic evaluations. Technology support and information systems will facilitate the management team in planning, managing and monitoring and evaluating drug supplies. In order for the hospital to provide good service to patients, it is necessary for the hospital to have a supply of the drugs needed within a certain period of time so that the patient's medical needs can be met. This study uses data on chronic drug use in RSI. Siti Rahma Padang taken from 2017 to 2019. The data processed in the study were 12 types of drugs. Based on the analysis of these data, there are 5 types of chronic disease. Furthermore, the data is processed using the Monte Carlo algorithm. The result of testing this method is to get predictions of chronic drug use with the right level of accuracy. From the test results obtained 5 types of drugs whose accuracy level is above 80% and 7 types of drugs whose accuracy level is below 80% so that they can help RSI.Siti Rahma in making decisions in the future.
Sistem Sensor Detak Jantung Guna Mendukung Kebugaran Crew Saat Melaksanakan Dinas Jaga Mesin Marchellinus Ivan H. P; Abdi Seno; Andy Wahyu Hermanto
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i2.199

Abstract

The 2010 Manila Amendment Standard of Training Certification and Watchkeeping (STCW) regulation is to create and develop a system that can support the fitness of duty officers on duty. The officer's fitness is determined by the value of the heart rate at the start of watch duty. For that we need a system that can measure the heart rate quickly and precisely. This system must work effectively and accurately inform each officer's measurements. So this research was carried out with the aim of building an effective heart rate measurement. This system is supported by the Arduino Nano Microcontroller and an alarm system that provides information on the fitness of the officers. The method used is Research and Development which refers to ADDIE (Analysis, Design, Development, Implementation, and Evaluation). The result of this research is a heart rate measuring product that works very effectively. The required input consists of a grove-ear clip heart rate sensor as a heart rate detector in the form of a pulse signal and a vibrating DC motor with a buzzer as an alarm that generates a shock for the user of the device. The indications for this tool are using Bradycardia, Normal and Tachycardia heart conditions. So that this research is very much needed in supporting the testing of the fitness of tasks in carrying out the machine guard service properly and guaranteed.
Analisis Penerapan E-learning Menggunakan Thechnology Acceptance Model (TAM) Idria Maita; Almarozi
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i2.201

Abstract

Senior High Schools in the Pekanbaru area have utilized E-learning facilities during the Covid-19 pandemic. One type of E-learning used is Edmodo-based. Factors that hinder the implementation of Edmodo-based E-learning are that students do not understand the use of Edmodo-based E-learning, not all teachers use Edmodo-based E-learning in schools, and not all students are or live in places that have a good or stable network so that there is no research that leads or leads to aspects of the ease, benefits and acceptance of Edmodo-based E-learning. The purpose of this study is to analyze and determine the effect of usefulness or benefits and perceptions of ease of use on the acceptance of Edmodo-based E-learning at SMA N 12 Pekanbaru using the TAM method. There are three variables used in this study, namely Perception of Ease and Perception of Benefits on Perception of Acceptance of Use. The sample used was 76 respondents. From the results of the assessment and testing, it can be concluded that the three hypotheses proposed are accepted. The convenience variable affects Edmodo Elearning Acceptance, the Benefit variable affects Edmodo Elearning Acceptance and the convenience and benefits variables together affect Edmodo Elearning Acceptance. The more the ease and usability or the benefits of Edmodo E-learning, the more Edmodo's acceptance of E-learning will increase.
Prediksi Tingkat Kunjungan Pasien dengan Menggunakan Metode Monte Carlo Aldo Eko Syaputra; Yofhanda Septi Eirlangga
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i2.202

Abstract

The increase in the number of patient visits that often occur at community health centers / puskesmas has caused some activities in health services to be slightly hampered, disturbed and less than optimal, resulting in some patients not getting comprehensive services and some even waiting too long in queues. The purpose of this study was to provide information to the health center about the prediction of an increase in the number of patient visits that might occur in the future. The data used in this study were patient visit data at the IX Koto Sungai Lasi health center from 2019, 2020, and 2021 to extract the data that was obtained. The method used in this study was the Monte Carlo method. The results of the study can predict patient visit rates in the following years with an average accuracy rate of 91%, in 2020, and 85% in 2021, the results of these predictions can be a reference for the Puskesmas to take action and policies to improve quality of service at the Puskesmas.
Pemilihan Karyawan Terbaik Menggunakan Metode Simple Additive Weighting Berbasis Sistem Pendukung Keputusan Dinar Ajeng Kristiyanti; Natanael Sayoeti
Jurnal Informasi dan Teknologi 2022, Vol. 4, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v4i2.196

Abstract

One alternative in making effective decisions is the Decision Support System (DSS). The selection of the best employees still has weaknesses in PT. Petromitra Pacific Internusa so that it will trigger conflicts between employees. In this study, the Simple Additive Weighting (SAW) method was used to process employee data in all divisions to obtain accurate results. The SAW method is one of the methods that can assist in the decision-making process for selecting the best 100 employees by providing criteria and preference weights that can be determined according to applicable regulations such as 35% discipline criteria, 15% cooperation, 45% leadership, and honesty. 10%. This study aims to provide more accurate results and make it easier for the Personnel or HRD department to choose the best employees at PT. Petromitra Pacific Internusa. The results of this study are in the form of determining the selection of the best employees who are identified based on the results of the highest score. So that they will automatically become the best employees and will receive bonuses, as well as get a promotion.

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