Claim Missing Document
Check
Articles

Optimization of The Use of Togaf Adm in The Design of Information Systems For Islamic Boarding Schools Nasution, Nurliana; Hasan, Mhd Arief
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 4 No. 2 (2021): Jurnal Teknologi dan Open Source, December 2021
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v4i2.1910

Abstract

Pesantren is an educational institution that stands traditionally where students live in one place to live with each other and study under the guidance of a teacher who is also known as a Kiai. For its implementation, many things must be managed by a boarding school, starting from student registration, student placement, student learning, and evaluation of student learning at the boarding school. So far, there is no adequate system for all of these administrative needs. The purpose of this study is to build an information system framework for Islamic boarding schools using the TOGAF FRAMEWORK. Miftahul Huda Islamic Boarding School Pekanbaru City uses the TOGAF-ADM methodology as the standard tool used. The use of TOGAF can bring a consistent enterprise architecture, based on stakeholder requirements, and bring some considerations. . In designing this blueprint, it will rely on the work steps of the TOGAF ADM Framework, in which this enterprise architecture framework is divided into (four) categories, namely: business architecture, data, applications, and technology.
Application of Sales Forecasting Using The Least Square Method in Web-Based Information Systems Nasution, Nurliana; Sitompul, Dadang Rukmana; Walhidayat, Walhidayat
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.2580

Abstract

Technology has become an important role in life, causing the role of computers to be indispensable in various aspects. The presence of technology today is not only in the field of technology but computational methods are also developing. The use of the internet in the aspect of E-commerce (electronic commerce) also plays an important role in the business process cycle. Sale is a major aspect of supporting survival in an industry. Because the high level of sales in an industry/service can compensate let alone provide benefits for the industry. The LEAST Square method is used as an analytical tool for forecasting / predicting sales at the ABDS Store Pekanbaru store. The level of accuracy of the calculation will have an impact on the availability of stock in the store. This method is often used in finding the best parameters of a mathematical model that describes observational data. By using the least squares method, it is expected that the resulting mathematical model can provide a better description of the observation data.
Synthetic Minority Oversampling Technique for Efforts to Improve Imbalanced Data in Classification of Lettuce Plant Diseases Nasution, Nurliana; Feldiansyah, Feldiansyah; Zamsuri, Ahmad; Hasan, Mhd Arief
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 6 No. 1 (2023): Jurnal Teknologi dan Open Source, June 2023
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v6i1.2883

Abstract

In this study we classified lettuce plant diseases. These plant diseases are available in the form of images that have been converted in .csv format to be classified. These plant diseases are available in the form of images that have been converted in .csv format to be classified. Image These plant diseases have been divided into several classes or categories. Then we determine the features of each row and column of the dataset. Each line in the CSV file represents one image, and each column represents one feature Each line in the CSV file represents one image, and each column represents one feature. Then a label is made for each line in the CSV file, namely the class or category where the images are grouped. Thus, so that we get datasets that are ready to be processed with machine learning. However, in processing the dataset, we get imbalanced data. So we added the Synthetic Minority Over-sampling Technique (SMOTE) method to overcome the imbalance that occurs. So that the data can be classified using several algorithms to find the best accuracy.