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Journal of Informatics Management and Information Technology
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27744744     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Informatics Management and Information Technology, memiliki kajian pada bidang: 1. Manajemen Informatika, 2. Sistem Informasi, dan 3. Teknologi Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 1 (2023): January 2023" : 5 Documents clear
Penerapan Metode MOORA Dalam Pemilihan Bimbingan Belajar Terbaik Sriwahyuni Hutagalung; Dinda Saputri Gea; Dwina Pri Indini; Mesran
Journal of Informatics Management and Information Technology Vol. 3 No. 1 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i1.226

Abstract

Tutoring is one of the most effective alternatives that can be used by parents who want to provide additional courses or tutoring to their children, bearing in mind that learning at school is less effective if it is only obtained at school, especially for students who wish to continue their tertiary education so students need additional tutoring. to deepen the material so that later you can pass the desired tertiary institution. Tutoring is one of the activities that involves teaching students so that they achieve maximum academic achievement or learning outcomes at the institution or place where they study. from the research on the Application of Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) in the Selection of the Best Tutoring, namely that it can make it easier for writers to solve complex problems by using a decision support system and the results of calculations applied by the writer which cannot be changed by anyone. because the results are absolute and real without any fraud in the calculation process using ROC (Rank Order Centroid) weighting which is useful for calculating the value of tutoring criteria effectively with the Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method. Tutoring is a non-formal institute that has more effective and reliable teaching quality for the last 5 years. by implementing a decision support system using the MOORA method and ROC weighting can help provide accurate results in selecting the best tutoring. There are three criteria, namely Price, Installment Amount, Discount Type. The results of selecting the best tutoring using the MOORA method are A4 with a score of 11.7171 as rank 1 on behalf of the ASC institution.
Penerapan Metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Seleksi Penerimaan Peserta Kegiatan Program Pendidikan Kecakapan Wirausaha Fazlur Rahman; Abdi Harfani; Mesran; Kelik Sussolaikah; Nelly Khairani Daulay; Ronal Watrianthos
Journal of Informatics Management and Information Technology Vol. 3 No. 1 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i1.238

Abstract

The Entrepreneurial Skills Education Program (PKW), is one of the programs from the Ministry of Education and Culture in 2019. PKW is an educational service through courses and training to provide knowledge, skills, and foster an entrepreneurial mental attitude in managing self-potential and the environment as a basis for entrepreneurship. This study aims to select the acceptance of participants in the Entrepreneurial Skills Education (PKW) program. The method used in the selection is by applying the MOORA method. The MOORA method is a method with very simple steps. The results showed that A1 is the best compared to several other alternatives with a value of 0.304
Penerapan Metode Additive Ratio Assement (ARAS) dalam Pemilihan Customer Service Terbaik Sri Agustiani Br Siburian; Mohammad Taufan Asri Zaen; Setiawansyah; Dodi Siregar; Erlin Windia Ambarsari; Yuwan Jumaryadi
Journal of Informatics Management and Information Technology Vol. 3 No. 1 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i1.239

Abstract

There are several references or assessments in determining the best customer service, including those based on customer service performance assessments, namely Cross Selling, Greeting Service Recovery, Grooming, and Discipline. In this study the authors used the ARAS method in selecting the best Customer Service. Use the Additive Ratio Assessment (ARAS) method where each criterion is compared to produce the best. The results of the study provide alternative A3 which is the alternative chosen to be the best alternative with a value of 0.2207.
Penerapan Metode Metode Weighted Aggregated Sum Product Assesment (WASPAS) dalam Pemilihan Supplier Faisal Amir; Pressa Persana Surya Saputra; Jasmir; Samsul Lutfi; Ni Luh Wiwik Sri Rahayu Ginantra; Ilham Tri Maulana
Journal of Informatics Management and Information Technology Vol. 3 No. 1 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i1.241

Abstract

The most important activity carried out by companies is to make a profit. Very subjective decision making can lead to errors in supplier selection. In supplier selection, the purchasing department often experiences difficulties in determining the selection of suppliers to be given orders because of the large number of suppliers and the criteria used in the assessment. Therefore, a supplier selection decision support system is needed so that the purchasing department can determine the best supplier. This decision support system uses the Weighted Aggregated Sum Product Assessment (WASPAS) method where this method can be used to overcome existing problems, because there are many alternatives and criteria that must be considered in selecting suppliers such as: price, quality, availability of goods and others. This research will raise a case that is looking for the best alternative based on predetermined criteria. In order to find the weight of each attribute, then a ranking process is carried out which will determine the optimal alternative, namely the best supplier.
Penerapan Teknik Neural Network dalam memprediksi Perkembangan Impor Kelompok Industri Tekstil dengan Metode Backpropagation Ranjani; Suci Cahya Mita; Agus Perdana Windarto
Journal of Informatics Management and Information Technology Vol. 3 No. 1 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v3i1.252

Abstract

The aim of this research is to analyze the development of the textile industry group in Indonesia using Artificial Intelligence. The analysis is conducted through a predictive model that will be used to predict the import development of the textile industry group. The dataset is sourced from the Indonesian Central Bureau of Statistics through the website https://www.bps.go.id/. The technique used is neural network with backpropagation method, and the analysis is conducted using Matlab. Backpropagation is a training method that has a target to be sought. This method is also a multilayer method, which has input, hidden, and output layers. The research process consists of two stages, namely the training stage and the testing stage. Out of several architecture models tested (3-10-1, 3-25-1, 3-50-1, 3-80-1, and 3-100-1), the best architecture model obtained is 3-100-1 with an MSE of 0.000999996 and an accuracy value of 100 percent.

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