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INDONESIA
Scientific Journal of Informatics
Published by Universitas Ibrahimy
ISSN : 25497480     EISSN : 25496301     DOI : https://doi.org/10.35316/jimi
Core Subject : Science,
Computer Science & IT
Topics cover the following areas (but are not limited to): 1. Information Technology (IT) a. Software engineering b. Game c. Information Retrieval d. Computer network e. Telecommunication f. Internet g. Wireless technology h. Network security i. Multimedia technology j. Mobile Computing k. Parallel/Distributed Computing 2. Information Systems Engineering a. Development, management and utilization of Information Systems b. Organizational Governance c. Enterprise Resource Planning d. Enterprise Architecture Planning e. e-Bbusinnes f. e-Commerce 3. Business Intelligence a. Data mining b. Text mining c. Data warehouse d. Online Analytical Processing e. Artificial Intelligence f. Decision Support System g. Machine Learning
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 115 Documents
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K-NN Method for Review Analys Product Accounting Software Sucitra Sahara; Rizqi Agung Permana
Jurnal Ilmiah Informatika Vol. 5 No. 2 (2020): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v5i2.948

Abstract

Many companies have not implemented accounting software in financial management. Even though the current era of technology is increasingly updated and developing, more and more superior products are being issued by software development companies, especially in accounting software. There are not a few software products whose quality is still below standard or incomplete with features and facilities. So that researchers concentrate on companies or individual businesses that still use manual methods in processing their finances by helping and making it easier to choose the software product they will choose. Researchers first carry out the accounting software product selection stage based on an opinion or opinion of the public who have bought and used the software they choose and they pour this opinion into online media such as comments on a product selling site. Thousands of comments will be processed and grouped into data sets and this time the researcher processes the data classification using the k-Nearest Neighbor (K-NN) algorithm. By using the K-NN method, it is expected to be able to produce the expected accuracy value so that the data set processing is stronger and more valid. It turns out that after applying the data accuracy value obtained by 80.50%, it can be concluded that the K-NN method is very suitable for the concept of text mining this time and for selecting the data set in the form of text.
Sistem Monitoring Prestasi Akademik Siswa Pada Sekolah Menengah Atas Negeri 5 Pagar Alam Asep Syaputra
Jurnal Ilmiah Informatika Vol. 5 No. 2 (2020): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v5i2.949

Abstract

The process of monitoring academic activity of SMA N 5 Pagar Alam City is still manual, because the data storage is still scattered in each field of teachers, sometimes the data entered in Microsoft Excel is not very accurate. From this problem, then a system of monitoring the processing of academic achievement data to determine the academic achievement of each student, where achievement data in the form of scores and activities of extracurricular activities will be easier to process, and the creation of reporting will be easier. This research uses waterfall methods and UML design, the devices used to build these systems using PHP and MySQL programming as databases. The system can be applied as a monitoring of students' academic performance so that academic data can be stored properly. The result of this study is the system of monitoring the academic achievement of high school students N 5 Pagar Alam City, with this system the school and parents are more effective in controlling and assessing activities related to the academic achievement of students.
Perancangan Aplikasi Mobile Penyetoran Ayat Untuk Mahasiswa Komprehensif di IAIN Bukittinggi Berbasis Android Wiwit Putriana Sari; Riri Okra
Jurnal Ilmiah Informatika Vol. 5 No. 2 (2020): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v5i2.957

Abstract

This research is motivated by the need for a verse deposit system by students to PA lecturers, students in depositing surah to PA lecturers do not need to carry a deposit card anymore, and do not need to buy into the photo copy building anymore, usually in paragraph deposits students always carry a deposit card every time. want to deposit verses to the PA lecturer, so that sometimes students forget to bring their deposit cards. The purpose of this study was to produce a database of verse deposit storage performed by students to PA lecturers. The type of research used in this research is Research and Development (R&D) research, which is a method used to produce a system, the R&D model used is the 4D version, namely, Define, design, develop, and disseminate, with the system development model using the System Development Life Cycle (SDLC), by applying the waterfall model consisting of, Communication, Planning, Modeling, Construction, and Deployment. Based on the results of the research conducted by the researchers, the researcher succeeded in making a product of the verse deposit system in Iain Bukittinngi. The results of the validity test conducted by computer experts show that this product is very valid with a value of 0.78. The results of the practicality test conducted by PA lecturers showed that this product was declared very practical with a value of 0.96 and the results of the effectiveness test conducted with students showed that this product was very effective with a value of 0.82.
Sistem Pakar Untuk Diagnosis Hama Pada Tanaman Jambu Air Menggunakan Metode Theorema Bayes Yoga Junaedi; Betha Nurina Sari; Agung Susilo Yuda Irawan
Jurnal Ilmiah Informatika Vol. 5 No. 2 (2020): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v5i2.960

Abstract

Technology is a tool or means used by humans to make ends meet. Technological development covers various aspects of life, such as health, education and in agriculture. One of the uses of current technological developments is the creation of expert systems. Expert systems in agriculture can help farmers in overcoming problems in their crops based on the symptoms that occur in these plants, so farmers can quickly find the right solution. One type of agricultural plants that are susceptible to various pests is water guava. In resolving pests and diseases that attack not a few of the farmers or owners make mistakes in overcoming the problems encountered. So by making an expert system to diagnose guava plant diseases it is expected to help farmers to overcome problems by providing good solutions. The process of making this expert system uses the Bayes theorem method. Bayes theorem method is one method to overcome the uncertainty of data. Where this method is based on the initial condition where the initial condition is a condition of existing symptoms then subject to predetermined rules then the greatest truth value is taken to determine the conclusions and solutions of the symptoms that have been mentioned previously.
Penyajian Informasi Untuk Persebaran Lokasi Kerja Alumni STT Terpadu Nurul Fikri Dengan Menggunakan ArcGIS 10.5 Yekti Wirani; Naila Natalia Aufar; Muh Syaiful Romadhon
Jurnal Ilmiah Informatika Vol. 5 No. 2 (2020): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v5i2.962

Abstract

Geospatial Information System (GIS) is an information system that helps map events on earth to be analyzed with the help of computers. This GIS can make it easier to manage geographic information systems. Based on the results of an interview with the unit manager of the vice-chairman III of STT Terpadu Nurul Fikri, that currently, cannot map and see the visualization of the alumni's work field by the study program. Now, the vice-chairman III unit only can display information data with the help of Microsoft Excel. This study aims to build a Geospatial Information System with the ArcGIS application, making it easier to manage alumni and carry out tracer studies. If this data is available, it will be easier to maintain the relationship between alumni and the STT Terpadu Nurul Fikri. Good alumni data management will also open ample opportunities for collaboration, such as internships, jobs, graduate offers, and information on events and promotions. The results of the evaluation of the information presented were 81.25%, which meant that Deputy Assistant III had agreed with the presentation of data on the distribution of work locations for STT-NF alumni using ArcGIS 10.5. Based on determining the point of work location for STT-NF alumni, it was found that 89% of alumni work in the information technology sector and that their work locations are in the Greater Jakarta area.
Pengaruh Jumlah Record Dataset Terhadap Algoritma Klasifikasi Berdasarkan Data Customer Churn Anita; Anggito Wicaksono; Tesa Nur Padilah
Jurnal Ilmiah Informatika Vol. 6 No. 1 (2021): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v6i1.1223

Abstract

Telecommunication is one of the fastest growing industrial sectors so that there are more telecommunication companies. This can create various threats if the company does not use the strategy properly. Customer churn refers to the level of customer reduction which is one of the threats to reducing the company's revenue. This is an important issue for developing companies to evaluate in order to reduce the potential for churn that occurs. The initial stage that needs to be done is to predict customers who have the potential to switch from the company, one of which is the data mining approach. Classification is a data mining technique that can predict the class of datasets with various existing classification algorithms. The purpose of this study is to identify the effect of the number of dataset records on several classification algorithms. This research was conducted based on the CRISP-DM method by applying three classification algorithms, namely Logistic Regression, Naïve Bayes, and Decision Tree C4.5. The results showed that the greater the number of records in the dataset, the higher the accuracy value will be obtained. In dataset-1, logistic regression is a better algorithm based on an accuracy value of 80.09%, while naïve Bayes is superior based on an AUC value of 0.733 and an execution time of 0.00798 seconds. In dataset-2, it is found that decision tree is an algorithm that is more suitable than logistic regression and naïve Bayes algorithms, with an accuracy of 91.9% and an AUC value of 0.846 which is included in the good classification criteria. However, in execution time, the naïve Bayes algorithm only takes a processing time of 0.00403 seconds.
Analysis of Information Security Using ISO 27001 and Triangular Fuzzy Number Weighting Siti Alvi Sholikhatin; Khairunnisak Nur Isnaini
Jurnal Ilmiah Informatika Vol. 6 No. 1 (2021): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v6i1.1224

Abstract

The business process of an organization can’t be done properly without appropriate information management, in which information is an important asset that needs to be protected with the utmost care and concern. Information security is a way to protect information from large scale threats, thus to ensure the sustainability of the organization's operational, to reduce business risks and to increase business opportunity and return of investment. This research is conducted to measure the accountability of ISO 27001 in assisting the organization to document the information security policy. ISO/IEC 27001:2005 is a standard of information security that is widely used, openly accepted and implemented, and suitable for providing rules related to implementation and evaluation of the information security system. The assessment from ISO controls and objectives will be converted into a triangular fuzzy number to help in the analysis purpose. The fuzzy number is used to simplify the measurement. The result shows that the organization is not yet complying with the standard procedures of the Information Security Management System so it is needed to document the security policy based on the ISO 27001 framework standard.
Review Analisis Produk Marketplace Online pada Algoritma Support Vector Machine Rizqi Agung Permana; Sucitra Sahara
Jurnal Ilmiah Informatika Vol. 6 No. 1 (2021): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v6i1.1227

Abstract

With the presence of a marketplace, internet users are able to shop by cellphones or laptops which ease them to process the transactions. This advantage is the key to the popularity of e-commerce and marketplaces in the 21st century. Considering that users prefer having e-commerce to going out and looking for products. Internet users are still hesitant in choosing a good and bad marketplace since there is a disappointing marketplace system and a deficient service. The Researcher will make a selection of the product marketplace based on opinions or review comments. The stage of selecting marketplace products is based on an opinion or public opinion who buys goods on the selected marketplace, the opinion is given into online opinions such as comments on the marketplace. The comments that are used as samples will be processed and grouped into data sets. In this case, the researcher processes the classification or grouping of data by applying the Support Vector Machine (SVM) method in accordance with the classification of processing data sets in the form of text. After being applied to the SVM method, the accuracy value is 75.92%, the SVM method produces a fairly good accuracy value on the dataset in the form of text classification in the marketplace review. From the results of testing the data, it can help readers in determining a good marketplace.
Peringkas Otomatis Teks Berbahasa Arab Menggunakan Algoritma TextRank Muhammad Fikri Hidayattullah; Ardhiyan Azizi
Jurnal Ilmiah Informatika Vol. 6 No. 1 (2021): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v6i1.1231

Abstract

Increasingly, the amount of data in the form of text documents scattered on the internet is getting bigger. It took a very long time to get the information from each of these documents. For this reason, several researchers developed the Automatic Text Summarizer to summarize text automatically, so that the time needed to get important information from the entire document can be faster. Research that focuses on automatic summarization of Arabic texts is very rare. In fact, there are more than 300 million Arabic speakers in the world and Arabic is the official language at the United Nations. Therefore, this study develops a model that can perform text summarization automatically using the TextRank algorithm. The test results using Q&A Evaluation show very good results with details of the suitability of the summary results with the original text by 90%, the suitability of the summary results with Arabic grammar is 91.43%, the suitability of the summary results is 90%, the ease of understanding the summary results is 90%. and the useful aspects of the model developed were 91.43%.
Kombinasi Metode AHP dan TOPSIS dalam Pemilihan Bibit Sayuran Berdasarkan Kondisi Tanah dan Syarat Tumbuh Tanaman Asep Syaputra
Jurnal Ilmiah Informatika Vol. 6 No. 1 (2021): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v6i1.1232

Abstract

The majority of farmers are still unsure of which vegetable seeds are appropriate for planting on this property. This is due to farmers' lack of understanding of the conditions for planting these vegetable seeds on their fields. Due to farmers' and the general public's lack of understanding of land suitability evaluation, vegetable seeds have not been planted with optimum results because the requirements required for these vegetable crops do not match the land conditions that sustain vegetable growth. Understanding the significance of choosing vegetable seeds based on the adaptability of selecting land and plants also relies solely on farmers' scant knowledge. As a result, the authors believe that more research is needed to decide the best vegetable seeds for cultivation based on soil suitability and plant growth requirements. The AHP approach is very analytical and well-suited to determining the priority weight of each norm, which will later be used as a rating reference by the TOPSIS method. Based on the degree of soil suitability and the conditions for proper growth, it can be calculated that vegetable seeds will be planted later as an alternate, accurate, and dynamic approach

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