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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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Rancang Bangun Smart Learning Elektronika Berbasis Android pada Program Studi Pendidikan Teknik Elektro Mursyidin Mursyidin; Sri Wahyuni; Junaidi
Jurnal Ilmiah Informatika Vol. 7 No. 2 (2022): 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.v7i2.128-135

Abstract

The lack of variety of learning resources can be an obstacle in the teaching and learning process, learning that is only guided by the teacher and the material given by each meeting will greatly affect the success of learning. This electronic smart learning application is designed to make it easier for students to deepen their understanding of basic electronic lecture materials. This android-based electronic smart learning application was developed using research and development (R&D) methods and using the ADDIE development model. The results of the material expert validation showed that the application was worthy of use as a learning medium with an average score of 85% with "very suitable" criteria, and the media expert validation results obtained an average score of 82.22% with the "very suitable" criteria.
Penerapan Algoritma Convolutional Neural Network dan Haar Cascade Untuk Presensi Dengan Video Rekaman Zoom Muhammad Verdiansyah; Achmad Solichin
Jurnal Ilmiah Informatika Vol. 7 No. 2 (2022): 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.v7i2.116-127

Abstract

The COVID-19 pandemic that is engulfing the world is one of the situations that urges the use of and even human dependence on technology to become higher. This pandemic that can cause death by spreading through droplets or water droplets, so many countries have implemented social restrictions by prohibiting their citizens from doing many activities outside. The use of technology such as the Google Meet and Zoom applications has become a new habit for the community, especially in learning and teaching. Attendance is important to know and control the presence of students in the teaching and learning process. Currently, attendance at online lectures is still mostly done by calling students one by one or asking students to fill out certain forms. It has weaknesses and is less effective. Therefore, this study proposes presence with face identification using a web-based application system. The method used in this research are Haar Cascade face detection for facial image extraction and Convolutional Neural Network (CNN) algorithm for face identification process. The contribution given from this research in the form of identification can be done using video recordings of zoom and images or screenshots from zoom and displaying student attendance. In this study, the dataset was sourced from taking photos directly on individuals. There are 20 labels used in this study. The identification results of 1119 facial images (test data) on the CNN custom model, obtained 88% accuracy, 88% precision, and 83% recall.
Sistem Pendukung Keputusan Penerima Bantuan Program Keluarga Harapan (PKH) Menggunakan Metode Simple Multi Attribute Rating Technique (SMART) (Studi Kasus: Desa Kemudi) Alifia Zaida Nurmaya; Budi Harijanto; Kadek Suarjuna Batubulan
Jurnal Ilmiah Informatika Vol. 7 No. 2 (2022): 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.v7i2.136-146

Abstract

There are many government assistance programs, one of which is the Family Hope Program (PKH), which is a social assistance program aimed at poor families with certain conditions. The Family Hope Program is expected to be able to ease the burden on families. A large number of poor families in the village will make it difficult for village officials to select families who are entitled to receive assistance. However, sometimes aid program are not well targeted, thus triggering a sense of injustice for other poor families. The data collection process for poor families and the selection process is still done manually, thus allowing for errors in entering data and sometimes the selection results do not match or do not meet the criteria for recipients of assistance, it will lead to misunderstandings between the community and village officials. Therefore , to prevent the recurrence of this problem, it is necessary to have an information system with a decision support system to provide recommendations for PKH beneficiary families by predetermined criteria. The decision support system using the Simple Multi Attribute Rating Technique (SMART) method is expected to provide the best recommendations with criteria that have criteria values ​​and weights. The results of the application of the Simple Multi Attribute Rating Technique method on decision support system resulted in an accuracy value of 98%, so this system can be applied in Kemudi Village to assist village officials in the process of selecting the recipients of the Family Hope Program.
Analisa dan Perancangan Sistem Informasi Sekolah Terintegrasi Media Sosial sebagai Media Promosi Nur Wachid Hidayatulloh; Dellia, Prita; Aini, Nuru
Jurnal Ilmiah Informatika Vol. 8 No. 1 (2023): 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.v8i1.1-12

Abstract

In the era of the industrial revolution 5.0, many changes occurred in various fields one of the revolution is information system. The information system discussed this time refers to an agency's information system in schools. SMK PGRI 1 Bangkalan is one of the schools at the vocational secondary education level in Bangkalan Regency which does not yet have a website-based information system and has a total of no more than 50 students. A website-based information system can be a recommendation in overcoming these problems. This system can be used by the school to disseminate information about SMK which can be used as a promotional medium and will be integrated directly with social media. This study uses the waterfall model which is analogous to a waterfall. The waterfall model is used as a model reference in developing an information system. The results of this study are the design of a school information system that is integrated by social media account as a promotional medium in the form such as use case diagrams, flowcharts, database designs, and website interface designs.
Implementasi Monero Mining Pada Raspberry Pi 4 Model B Fadilah, Muhammad Derri; Hafiz Firdaus; Riyyan, Muhamad
Jurnal Ilmiah Informatika Vol. 8 No. 1 (2023): 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.v8i1.13-23

Abstract

In the world of cryptocurrency, Monero is one of the cryptocurrencies that was created in 2014. Monero uses CryptoNight as a proof-of-work algorithm to get cryptocurrency coins. The proof-of-work algorithm requires miners to have tools with large computing power so they are competing to buy tools with large computing power, but there is a problem with the electricity generated is also large. The Raspberry Pi was tested as an alternative cryptocurrency mining tool that has economic value. In this study, we implemented the Raspberry Pi 4 Model B to calculate how much computing power was generated and how to mine using this tool. The design of this system makes the tool made quite compact and efficient which helps the convoluted mining process. The rising trend of cryptocurrencies has resulted in an increasing demand for economical mining tools. The Raspberry Pi crypto mining system helps provide an economical and energy efficient tool.
Analisis Diagnosis Penyakit Ikan Lele Berbasis Website Menggunakan Metode Forward Chaining Dan Certainty Factor Sukirman, Sukirman; El Fazza, Fahri; Husain, Nursuci Putri
Jurnal Ilmiah Informatika Vol. 8 No. 1 (2023): 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.v8i1.37-53

Abstract

There are several new symptoms and new types of diseases in catfish farming. Through this website, catfish farmers can find out how to prevent and solve catfish diseases. The Expert System Development Life Cycle is the study methodology utilized an expert system with a forward chaining mechanism as a decision, while the certainty factor is a supporter of confidence for the diagnosis of catfish disease. Confidence from experts and users on the type of flatulence with a value of 74% while a little confidence in the type of intestinal rupture and the bacterium Flexibacter columnaris with a value of 30%.
Perbandingan Algoritma Fisher-Yates Shuffle Dan Linear Congruent Method Pada Aplikasi Game Susun Ayat Al-Qur’an Berbasis Android Octaviani, Hayara; Pramono, Bambang; Saputra, Rizal Adi
Jurnal Ilmiah Informatika Vol. 8 No. 1 (2023): 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.v8i1.24-36

Abstract

A problem that is often encountered among Qur’an memorized is the inability to memorize verses randomly. Therefore, a system is needed that is able to train the memorization of the Qur'an memorization so that it is able to memorize even with the position of the scrambled verses. To randomize verse chunks, a method is needed that can generate random numbers. Among the algorithms capable of generating random numbers are the Linear Congruent Method and the Fisher-Yates Shuffle. Of the two algorithms, no more effective algorithm has been found. For this reason, a comparison will be made by applying algorithms to Android-based game applications with the puzzle genre. This study aims to build an educational game application with the puzzle genre on the arrangement of quranic verses by comparing the effectiveness of the Linear Congruent Method and Fisher-Yates Shuffle algorithms in randomizing verses in games. The game is run in an Android application. Based on the tests that have been carried out, the results show that Linear Congruent Method has a pattern in generating random numbers while the Fisher-Yates Shuffle does not require it, so it can be concluded that the Fisher-Yates Shuffle algorithm is the most effective in randomizing.
Pengujian Black Box pada Aplikasi E-Commerce OpenCart dengan Metode Equivalence Partitioning dan Boundary Value Analysis Pratama, Fairus In'am; Subroto, Eka Mira Novita; Haira, Radina Mutia; Yaqin, Muhammad Ainul
Jurnal Ilmiah Informatika Vol. 8 No. 1 (2023): 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.v8i1.54-64

Abstract

E-commerce applications have become a significant trend in modern trade. One popular open-source e-commerce application is OpenCart. Testing the application is paramount to ensure that OpenCart functions appropriately and meets the required quality and performance. This study aims to conduct Black Box testing on the OpenCart e-commerce platform using the Equivalence Partitioning (EP) and Boundary Value Analysis (BVA) methods. The testing is carried out to ensure the application's functionality directly relates to user satisfaction and trust. EP divides input data into partitions based on valid and invalid values, while BVA tests input values based on specific boundaries. The focus of the testing is on the checkout feature, which is an essential component of any e-commerce application. The testing flow follows the Software Testing Life Cycle (STLC) approach. The test results show a 57.14% level of conformity using EP and 100% using BVA. Based on these two results, the overall conformity level is 78.57%. The testing results indicate that the system performs well within the tested boundary values but may require improvements in the combination of partition usage.STLC (Software Testing Life Cycle). Hasil pengujian menunjukkan tingkat kesesuaian sebanyak 57,14% pada EP dan 100% pada BVA. Berdasarkan dua hasil tersebut, didapatkan tingkat kesesuaian sebesar 78,57%. Hasil pengujian menunjukkan jika sistem dapat berjalan dengan baik pada nilai-nilai batasan yang diuji, tetapi masih perlu perbaikan pada kombinasi penggunaan antara partisi.
Analisis dan Pengembangan Quality of Experience Website E-Commerce Menggunakan GTMetrix Anhar, Anhar; Firdaus, Muhammad; Pangestu, Dimas Rama Aji; Salpiana, Salpiana; Putri, Jesica Amanda
Jurnal Ilmiah Informatika Vol. 8 No. 1 (2023): 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.v8i1.65-73

Abstract

The website is something that is familiar to hear at this time, where the world of technology, especially the internet, is developing rapidly. The development of the internet, in this case the website, is not only felt and used by business people, but also by the wider community, especially small businesses. The analytical method in this study uses the Automated usability testing tools approach which is used to test website performance. The performance is based on several general parameters, namely: performance, no of requests. Speed load time, page size. Parameter testing is measured using several tools: Pingdom, GTMetrix, Website Grader, Page Speed Insight, Site Analyzer and other Web Page Analyzer tools, performance is at a percentage of 30-38% and structure is at a percentage of 65-76%. The lowest access speed is 6.3 s and the highest is 29.5 s. Based on performance tests it is known that the system runs slowly and on average takes a long time, because image optimization means optimizing image size, so that image file sizes can be reduced. Measuring quality of experience (QoE) parameters on websites is very important to increase user satisfaction and reduce failure rate in the use of the website. Several QoE parameters that can be measured include load time, response speed, display quality, ease of use, user interface responsiveness, availability, reliability, and social interaction.
Prediction Of Student Graduation Using The K-Nearest Neighbor Method Case Study in Politeknik Negeri Tanah Laut Sari, Dwi Ratna; Julianto, Veri; Rhomadona, Herfia
Jurnal Ilmiah Informatika Vol. 8 No. 1 (2023): 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.v8i1.74-88

Abstract

Tanah Laut State Polytechnic as one of the universities in Indonesia has definitely paid attention to the quality of its students. One way is to predict student graduation. Graduation predictions can help study programs and academic supervisors review and pay special attention to students, especially students who are predicted to not graduate on time. Realizing one way to pay attention to the quality of students can be realized by creating a Student Graduation Prediction system using the Web-Based K-Nearest Neighbor (KNN) Method. The K-Nearest Neighbors method is an object classification method based on training data by finding the nearest neighbor value to determine the class of the new data. In the Student Graduation Prediction using the K-Nearest Neighbor Method, there is a section that can process training data, test data, the process of calculating student graduation predictions, and displaying the results obtained from the KNN calculation which has two classification classes, namely graduated and not passed. Based on the results of the study, it was found that KNN with different k values obtained different levels of accuracy, data testing with a value of k=1 obtained an accuracy rate of 83.33%, the value of k=2 obtained an accuracy rate of 79.17%, the value of k=3 to k= 8 obtained an accuracy rate of 95.83%, and the values of k=9 and k=10 obtained an accuracy rate of 91.67%. It can be concluded that the test with a value of k=3 to k=8 obtained the best or highest level of accuracy.

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