cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ahmad Homaidi
Contact Email
jurnalinformatika@ibrahimy.ac.id
Phone
+6285258824038
Journal Mail Official
jurnalinformatika@ibrahimy.ac.id
Editorial Address
Jl. KHR. Syamsul Arifin No. 01-02 Sukorejo Situbondo PO.BOX. 2 Telp. 0338-451307 Faks. 0338-45306
Location
Kab. situbondo,
Jawa timur
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 7 Documents
 1 
Search results for , issue "Vol. 7 No. 2 (2022): Jurnal Ilmiah Informatika" : 7 Documents clear
Penerapan Algoritma K-Nearest Neighbor Untuk Klasifikasi Rumah Layak Atau Tidak Layak Huni (Studi Kasus: Desa Bulu Kecamatan Kraksaan Kabupaten Probolinggo) Deniyanto Muchlizin Wahidillah; Abu Tholib; Muafi Muafi
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.v7i2.75-84

Abstract

The house is a need that must be met, in addition to food and clothing needs, as well as an indicator of community welfare, to create a safe, comfortable and healthy living environment. The government provides social rehabilitation assistance to the community for uninhabitable houses by helping to buy building materials so they can rehabilitate homes that are not proper. In Bulu Village there are still many places to live that are categorized as uninhabitable houses. This is because of the community's income factor and limited knowledge about the function of the house, as well as facilities and infrastructure that make it increasingly difficult to realize livable dwellings. This research uses the K-Nearest Neighbor algorithm for the classification of decent or uninhabitable homes which aims to provide convenience in determining prospective recipients of social rehabilitation assistance for uninhabitable houses with accurate results and minimizing mistargeting. The results of this study are an average accuracy of 96.25% with a standard deviation of 5.73% in the 7th model test using 10-fold cross-validation with odd k and validation and evaluation of results with the confusion matrix getting an accuracy value of 100%, the precision value is 100%, the recall value is 100%, and the f-measure value is 100% with k = 13.
Sistem Pakar Untuk Mendeteksi Minat Dan Bakat : Sebuah Systematic Literature Review Hafiz Firdaus; Agung Susilo Yuda Irawan
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.v7i2.85-94

Abstract

We present a systematic literature review of an expert system to detect children's interests and talents. The purpose of this review is to plot all aspects of knowledge in the field of education, especially those using the expert system method, what children do in learning and how expert system methods can help in determining children's interests and talents. We conducted a systematic literature review of published studies that focused on the use of expert systems methods. The systematic review in this study is used to analyze how expert system methods can contribute massively to developments in the field of education. This research can also be used as a guideline for the most widely used expert system method to determine children's interests and talents. Research on determining children's talents and interests from 20 papers in a systematic literature review provides a broad understanding of the research conducted on what makes the system able to determine the best talents and interests for children through data obtained from experts
Analisis Sentimen Layanan Shopeefood Pada Twitter Dengan Metode K-Nearest Neighbor, Support Vector Machine, dan Decision Tree Muhammad Zaki Farhan
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.v7i2.95-106

Abstract

Sistem Informasi Jadwal Dan Pemesanan Tiket Keberangkatan Kapal Laut Di Pelabuhan Jangkar Berbasis Android M Syafiih; Nur Istifadah; Nur Hatima Inda Arifin
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.v7i2.107-116

Abstract

The port is a place consisting of land and waters around it with certain as a place of economic activity and activities, the surrounding area becomes a place to lean, up and down passengers or unloading goods equipped with shipping safety facilities. Anchors Port which was built in 1986 to serve loading and unloading of passenger goods for alternative crossings connected between the island of Java and many islands and regencies in Madura, especially Kalianget and Sumenep districts (Sapudi, Raas and Kangean Islands), Anchors Harbor is located in Asembagus District, 35 km east of Situbondo, East Java Province. Ship transportation crossings at Anchors Situbondo port, sometimes not fixed with an uncertain departure schedule, departure schedules and ticket reservations are still made manually, namely from the bookkeeping and have not been equipped with information system devices to manage ship schedules. So from these problems, an android-based application was created that can be used as an android-based schedule information system and ticket booking for ship departures with the aim of making it easier for prospective passengers to find out departure schedules and ticket reservations. The method used is the waterfall method with flowchart, DFD and ERD tools so that the management of information systems is more systematic. The results of this test are to produce an android-based schedule information system application and ship departure ticket booking which shows a percentage of 90.6% with the category strongly agreeing to be used.
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.

Page 1 of 1 | Total Record : 7

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol. 8 No. 2 (2023): Jurnal Ilmiah Informatika Vol. 8 No. 1 (2023): Jurnal Ilmiah Informatika Vol. 7 No. 2 (2022): Jurnal Ilmiah Informatika Vol. 7 No. 1 (2022): Jurnal Ilmiah Informatika Vol. 6 No. 2 (2021): Jurnal Ilmiah Informatika Vol. 6 No. 1 (2021): Jurnal Ilmiah Informatika Vol. 5 No. 2 (2020): Jurnal Ilmiah Informatika Vol. 5 No. 1 (2020): Jurnal Ilmiah Informatika Vol. 4 No. 2 (2019): Jurnal Imliah Informatika Vol. 4 No. 1 (2019): Jurnal Imliah Informatika Vol. 3 No. 2 (2018): Jurnal Ilmiah Informatika Vol. 3 No. 1 (2018): Jurnal Imliah Informatika Vol. 2 No. 2 (2017): Jurnal Imliah Informatika Vol. 2 No. 1 (2017): Jurnal Imliah Informatika Vol. 1 No. 1 (2016): Jurnal Imliah Informatika More Issue