cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282370070808
Journal Mail Official
jimat.journal@gmail.com
Editorial Address
Jalan sisingamangaraja No 338 Medan, Indonesia
Location
Kota medan,
Sumatera utara
INDONESIA
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 131 Documents
 3   4   5   6   7 
Sistem Pendukung Keputusan Pemilihan Koordinator Konsiyansi Menerapan Metode ARAS Tiurima Tampubolon; Mesran
Journal of Informatics Management and Information Technology Vol. 2 No. 4 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v2i4.144

Abstract

Coordinator is a person who has experience, knowledge and good skills to lead and process and develop a product or an organization to achieve a goal. Consignment is a form of sales cooperation carried out by the owner of goods/products with distributors (stores/distros/ company). Consignment Coordinator is a person who is given the responsibility to control, process and develop goods that have been entrusted by the product owner to the store so that the product that has been deposited can generate profits for the product owner. The problem faced in choosing a consignment coordinator is that the recruitment process is still done manually. Another problem is that the recruited consignment coordinator does not have the ability and quality as desired by the company. .Decision Support System is an information system that produces alternative decisions to solve a problem. The Decision Support System to determine the consignment coordinator can be generated based on several criteria in determining a criterion that is made to prevent mistakes made by certain parties. Many methods are used in the Decision Support System, including the AHP, TOPSIS, SAW, VIKOR, MOORA, ARAS and many other methods. The ARAS method is the right method for determining qualified consignment coordinator candidates. The ARAS (Additive Ratio Assessment) method is a comprehensive frame of mind method considering the hierarchical process which is then calculated by weight to calculate a criterion in determining the acceptance of the coordinator consignment
Sistem Informasi Penyedia Lowongan Kerja Dinas Tenaga Kerja dan Transmigrasi Kabupaten Lombok Tengah Leni Sefvia; Mohammad Taufan Asri Zaen; Khairul Imtihan
Journal of Informatics Management and Information Technology Vol. 2 No. 4 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v2i4.175

Abstract

In finding job vacancy informations, job seekers still use the manual method by visiting companies, looking at job vacancies bulletin boards, doing a search in print media, this makes it difficult for job seekers to find job vacancies informations so that the unemployment rate in the Central Lombok region is getting higher. The research aims to build an informations system that provides informations on vacancies being managed by the Department of Manpower and Transmigration that may make it easier for job seekers to find the oppropriate Before building an informations system, researchers have collected data by means of observation, interviews, and for system design using the Waterfall method. The results obtained by testing the system using Black-Box , all the features in the system are running well. Meanwhile, user satisfaction testing using the WebQual 4.0 method obtained results of 86,76% to 91,24% which showed users strongly agree that this job vacancy informations system can be operated easily
Identifikasi Jenis Burung Berdasarkan Bentuk Paruh dengan Menggunakan Metode Convolutional Neural Network Putri Iara Diandra Siregar
Journal of Informatics Management and Information Technology Vol. 2 No. 4 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v2i4.178

Abstract

Technological developments are developing so fast that it allows many applications to be made to facilitate human work. The detection system that will be developed at this time is based on the type of an object. Data in the form of images can provide some information such as type, age or other information. birds are members of a group of vertebrate animals (vertebrates) that have feathers and wings, therefore detection of bird species is very much needed considering the number of bird species. ). The steps taken before identifying bird species based on shape are image processing, grayscale, and thresholding. With this technology, one can see species or types of birds along with other information based on their beaks. This study will utilize a smartphone camera that is used to detect objects that are specifically only on the beak of birds to see the species/type to be detected
Penerapan Metode Constraint Satisfaction Problem Pada Sistem Pakar Diagnosa Penyakit Shigellosis Abdi Harfani
Journal of Informatics Management and Information Technology Vol. 2 No. 4 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v2i4.179

Abstract

Currently, the use of computer equipment has grown very rapidly in the community. Most people not only use it for commercial purposes, but also get information to detect diseases quickly and efficiently with computer-based applications that can help the general public to find out the causes and symptoms of the disease. For that, we need a system designed to imitate the expertise of an expert in answering questions and solving a problem, according to the knowledge of an expert that is entered into a computer system. The development of artificial intelligence technology that has occurred has allowed expert systems to be applied for their use in detecting diseases using programming languages. One of them is in providing information about various problems, especially Shigellosis disease. The expert system method used is Constraint Satisfaction Problem (CSP) which is used to deal with uncertainty in the diagnosis of Shigellosis.
Kombinasi Metode Unsharp Masking dan Filter High Boost Dalam Meningkatkan Kualitas Video Call Ayu Lorenza Rajagukguk
Journal of Informatics Management and Information Technology Vol. 2 No. 4 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v2i4.180

Abstract

Currently, the use of computer equipment has grown very rapidly in the community. Most people not only use it for commercial purposes, but also get information to detect diseases quickly and efficiently with computer-based applications that can help the general public to find out the causes and symptoms of the disease. For that, we need a system designed to imitate the expertise of an expert in answering questions and solving a problem, according to the knowledge of an expert that is entered into a computer system. The development of artificial intelligence technology that has occurred has allowed expert systems to be applied for their use in detecting diseases using programming languages. One of them is in providing information about various problems, especially Shigellosis disease. The expert system method used is Constraint Satisfaction Problem (CSP) which is used to deal with uncertainty in the diagnosis of Shigellosis
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.

Page 5 of 14 | Total Record : 131

 3   4   5   6   7 

Filter by Year

2021 2025


Reset
Filter By Issues
All Issue Vol. 5 No. 4 (2025): October 2025 Vol. 5 No. 3 (2025): July 2025 Vol. 5 No. 2 (2025): April 2025 Vol. 5 No. 1 (2025): January 2025 Vol. 4 No. 4 (2024): October 2024 Vol. 4 No. 3 (2024): July 2024 Vol. 4 No. 2 (2024): April 2024 Vol. 4 No. 1 (2024): January 2024 Vol. 3 No. 4 (2023): October 2023 Vol. 3 No. 3 (2023): Juli 2023 Vol. 3 No. 2 (2023): April 2023 Vol. 3 No. 1 (2023): January 2023 Vol. 2 No. 4 (2022): October 2022 Vol. 2 No. 3 (2022): July 2022 Vol. 2 No. 2 (2022): April 2022 Vol. 2 No. 1 (2022): January 2022 Vol. 1 No. 4 (2021): October 2021 Vol. 1 No. 3 (2021): July 2021 Vol. 1 No. 2 (2021): April 2021 Vol. 1 No. 1 (2021): January 2021 More Issue