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Journal : MEANS (Media Informasi Analisa dan Sistem)

Analisa Metode El Chinix Traduisant La Realite (Electre) dan Weighted Product (WP) Untuk Pendukung Keputusan Perekrutan Karyawan Sitorus, Anggiat Selamat; Sihombing, Volvo; Munthe, Ibnu Rasyid
MEANS (Media Informasi Analisa dan Sistem) Volume 6 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (521.994 KB) | DOI: 10.54367/means.v6i1.1250

Abstract

Human resource management (HR) is important to achieve company goals. One of the activities in HR management is recruitment, selection, and training. Recruitment and selection are usually carried out without using a system so that the calculations are still done manually. However, by processing data using the system, it can produce a decision in recommending prospective employees who can have a positive impact on the company. The company selection process is carried out in two stages, namely official selection and final selection in the form of psychological tests, interviews, ability tests, and communication. The use of the Elimination Et Choix Traduisant La Realite (ELECTRE) method at the official selection stage and the Weighted Product (WP) method at the final selection stage is a discovery made to obtain the best decision according to the required criteria. By using this method, the final result will be obtained, namely recommendations from several prospective employees who are fit to work in the company. The results of this system performance reached one hundred percent; the data from the system is in accordance with the expected calculations.
Perancangan Aplikasi Pengenalan Tokoh Penemu Benda-Benda Penting Di Dunia Berbasis Android Menggunakan Metode Sequential Search Tonny, Tonny; Munthe, Ibnu Rasyid; Munandar, Musthafa Haris
MEANS (Media Informasi Analisa dan Sistem) Volume 6 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.672 KB) | DOI: 10.54367/means.v6i1.1254

Abstract

The inventor figures succeeded in contributing to people's lives and making people's lives developed with the findings of the inventor figures, but there are still many people who do not know and know the inventor figures, people only know the objects found by the inventor figures but do not know who the characters find the objects. that thing. The introduction of the inventor character is one of the reference materials that can be used to introduce the inventor character. In this day and age, android-based inventor character recognition applications are very efficient to use. In making a character recognition application, strings can be implemented for the word search process. String can be interpreted as an approach how to find the pattern of arrangement of string characters in other strings or part of the body of text. String has several algorithms, one of which is the Sequential Search algorithm where this algorithm is a very simple search algorithm that is carried out by comparing data one by one from a predetermined data set (Array) until the data is completed (found) or there is no match (not found). ). This inventor character recognition application is designed by utilizing the setudio android software. So that the application is easier to use and can be used independently anywhere and anytime.
Metode Clustering K-Medoids untuk Aplikasi Pembelajaran di Masa Pandemi COVID-19 Sari, Miranda; Munthe, Ibnu Rasyid; Irmayani, Irmayani
MEANS (Media Informasi Analisa dan Sistem) Volume 6 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.13 KB) | DOI: 10.54367/means.v6i1.1255

Abstract

The central government took a policy to carry out social distancing with this social distancing having an impact on all activities such as having an impact on the learning process that usually takes place in the classroom turning into online learning using several supporting applications in the learning process during the Covid 19 pandemic. Such as using WhatsApp, Moodle , and Zoom for the learning process. Of the three applications commonly used by students and lecturers for the learning process, it can be grouped using the K-Medoids method which will get a cluster of preferred and disliked applications. The researcher took data from a questionnaire made with Google Form which was distributed to 100 students who often did the learning process with the three applications. Can produce a grouping of applications that students like and dislike in the learning process. By looking at the level curve in Figure 7. There are two clusters of red and blue. If the curved line to the right increases, there are many things that are not liked in the application used. Conversely, if the line from the curve to the right decreases, then online applications are less favorable. The results of this study can be seen from the curve picture that learning is most prioritized in the learning process during the Covid 19 pandemic using the Moodle and WhatsApp applications, and the use of zoom is not prioritized in the learning process. if the line from the curve to the right decreases, then online applications are less favored. The results of this study can be seen from the curve image that learning is most prioritized in the learning process during the Covid 19 pandemic using the Moodle and WhatsApp applications, and zooming is not prioritized in the learning process. if the line from the curve to the right decreases, then online applications are less favored. The results of this study can be seen from the curve picture that learning is most prioritized in the learning process during the Covid 19 pandemic using the Moodle and WhatsApp applications, and the use of zoom is not prioritized in the learning process.
Perancangan Aplikasi SPK Penerimaaan Tenaga Kerja Honorer dengan Menggunakan Metode MAUT Putri, Kirana Dwi; Juledi, Angga Putra; Munthe, Ibnu Rasyid
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i1.2565

Abstract

The Plantation Service is the implementing element of the Provincial Government, led by a Head of Service, located under and responsible to the Regional Head through the Regional Secretary. The Plantation Service has the task of carrying out the authority of the Provincial Government and the task of Deconcentration in the plantation sector. According to Government Regulation No. 48 of 2005 as amended by Government Regulation No. 56 of 2012, an honorary employee is someone who is appointed by a staffing officer in a government agency to carry out certain tasks. Planning for the needs of honorary workers is part of the activities of preparing a recruitment program to select and obtain qualified workers in an agency. However, in the recruitment process for honorary workers at the North Sumatra Plantation Service, too many applicants and application files as well as the lengthy selection stages make it difficult for an agency to find new honorary workers, as desired. Therefore, the role of a decision support system is needed in overcoming the problems faced today. Therefore, to determine prospective honorary workers, a decision support system is needed to facilitate work and avoid errors in calculating system data quickly and more accurately by using the Multi Attribute Utility Theory (MAUT) method. From the results of this study, the MAUT method produced the best preference value of 0.493 on behalf of Sarah, S.E as the first rank
Sistem Pendukung Keputusan Pengadaan Alat Kesehatan Pada RS Indah Bagan Batu Dengan Menggunakan Metode Grey Absolute Decision Analysis (GADA) (Studi Kasus : RS Indah Bagan Batu) Syaputra, Panca; Juledi, Angga Putra; Munthe, Ibnu Rasyid
MEANS (Media Informasi Analisa dan Sistem) Volume 8 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v8i1.2567

Abstract

An medical devices are instruments, apparatus,machines or implants that do not containt drugs that are used to prevent, diagnose, cure and alleviate disease, or to shape the structure and improve body functions. The problem found by researchers is how to procure medical devices that have only relied on the intuition of the management team without being based on nalysis in meeting the needs of patients and hospitals. In this researcher, the write uses the method of Gray Absolute Decision Analysis (GADA) as a decision making solution to determie procurement of health equipment. This method is considered as the procurement of medical device because the dual method performs the drying process based on different attributes and weights and prioritizes and weights and prioritizes alternative data so that the results are more optimal and accurate in the procurement of medical devices.