Article Per Year (5 Year)
p-Index From 2021 - 2026
3.625
P-Index
This Author published in this journals
All Journal Jurnal Inspiration JUKI : Jurnal Komputer dan Informatika Journal of Innovation Information Technology and Application (JINITA) Indonesian Journal of Engineering Research Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science SATIN - Sains dan Teknologi Informasi Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Jurnal Kewirausahaan dan Bisnis Jurnal Komputer, Informasi dan Teknologi
Fredricka, Jhoanne
Universitas Dehasen Bengkulu
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Determination of Recipients of Livestock Assistance for Villages Using the Simple Additive Weighting Method Anisyah Juniarti; Siswanto Siswanto; Jhoanne Fredricka
Jurnal Media Computer Science Vol 2 No 2 (2023): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i2.3945

Abstract

Decision support systems are systems capable of providing data and information. In today's digital and globalization era, where the need for fast, precise and accurate information is very important. What's more, currently various public and private agencies will develop their businesses, one of which is to make changes by utilizing sophisticated technology such as computers as a substitute for human labor, The simple additive weighting method is one of the methods used to solve the problem of fuzzy multiple attribute decision making (FMADM). The simple additive weighting (SAW) method is a method used to find optimal alternatives from a number of alternatives with certain criteria. The result of this research is a software that adopts the SAW method which is able to assist the agriculture and animal husbandry department for decision making in determining recipients of livestock assistance every year.
Penerapan Metode Certainty Factor Untuk Mendiagnosa Penyakit Erosi Pada Gigi : (Studi Kasus Klinik Sehati Bengkulu) Reza Ardiansyah; Maryaningsih Maryaningsih; Jhoanne Fredricka
Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Vol. 1 No. 3 (2023): Juli : Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/pandawa.v1i3.142

Abstract

Dental erosion is described as the loss of the enamel on the teeth. At first, people who experience tooth erosion will not feel that their teeth are experiencing tooth erosion, until when tooth erosion has reached the dentin. Tooth erosion that has reached the dentin is characterized by, among other things, a feeling of pain in the teeth. However, there are many people who are unfamiliar with dental erosion, so a system that can be accessed online is needed to help patients or the public to consult independently. This expert system is designed using the PHP Programming Language and MySQL Database and the method used is a certainty factor. The result of concultationtest with the system is able to determine the disease along with the intial treatment or treatment that be must be carried out based on the symstoms selected by the user.
Socialization Of Computer-Based Semester Exam System (CBT) Siswanto; Hermawansa; Utami, Feri Hari; Alianse, Rizka Tri; Fredricka , Jhoanne
Jurnal Kewirausahaan dan Bisnis Vol. 1 No. 1 (2019): Februari
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Information Technology, which is a technology in the field of computer science, is a type of field of science that always experiences many advances, both in data processing, image processing or a combination of the two. This happened because of the development of processor technology which is the main component of computer machines, where with the development of processor technology, software manufacturers also moved to follow the existing technology. Situation analysis of partners, obtained an illustration of the teacher's lack of understanding of the development of information technology, especially in terms of CBT-based semester exams. This is due to new assumptions about existing terms, therefore the school conveys the need for socialization of the intended technology directly to the teachers of SMA N 6 Bengkulu Tengah. Part of the field of computer science that continues to grow, such as artificial intelligence, which continues to try to make computer machines as tools and substitutes for functions carried out by humans. The progress shown by the ability of computers to serve users to search for education through internet facilities certainly requires its users to keep abreast of existing developments. The results obtained from these activities are the level of teacher interest in information technology knowledge which includes CBT-based exams which are shown by the enthusiasm of teachers in participating in activities
Interpretable Deep Learning Model for Grape Leaf Disease Classification Based on EfficientNet with Grad-CAM Visualization Castaka Agus Sugianto; Dini Rohmayani; Jhoanne Fredricka; Mohamed Doheir
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 1 (2025): JINITA, June 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i1.2745

Abstract

Grape leaf diseases pose a significant threat to agricultural productivity, especially in regions with fluctuating climatic conditions that create favorable environments for pathogen growth. Early and accurate disease detection is essential for preventing severe crop losses. Traditional manual inspection methods are inefficient and prone to human error, highlighting the need for an automated approach. This study proposes a computer vision-based solution using Convolutional Neural Networks (CNN) improved by EfficientNetB0 to classify grape leaf diseases. The model was trained on a publicly available dataset from Kaggle, which consists of 9,027 images in four classes: ESCA, Leaf Blight, Black Rot, and Healthy. Each image has a resolution of 300 × 300 pixels with a 24-bit color depth, ensuring sufficient detail for analysis. To enhance model performance, data augmentation and hyperparameter tuning were applied. The EfficientNetB0 model was employed due to its strong feature extraction capabilities and computational efficiency. The proposed model achieved 99.36% accuracy, with evaluation metrics including precision (99%), recall (99%), and F1-score (99%), demonstrating its reliability in distinguishing disease categories. Further analysis using a confusion matrix and Grad-CAM visualization provided insights into the model’s decision-making process. The results indicate that this deep learning-based approach is highly effective for grape leaf disease classification. Future research can explore real-time field data collection, attention mechanisms, and self-supervised learning to further improve classification accuracy and model generalization for large-scale agricultural applications.
Decision Support System for Giving Annual Bonus at PT. Vizta Pratama by Using the Analytical Hierarchy Process (AHP) Method Surya Ramadhan; Siswanto Siswanto; Jhoanne Fredricka
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 1 (2021): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i1.109

Abstract

PT Vizta Pratama Bengkulu is a branch of a franchise company engaged in family karaoke entertainment services, founded by a well-known dangdut singer, Inul Daratista and starting its first operation in 2005 in Kelapa Gading area. PT. Vizta Pratama Bengkulu has not used the Decision Support System Application. The decision to determine the recipient of the annual bonus is only to calculate the total value based on 3 criteria, namely responsibility, discipline, honesty without using a decision support method, therefore sometimes it is felt that the giving of employee annual bonuses is not right on target. Decision support system for giving annual bonus at PT. Vizta pratama using the analytical hierarchy process (AHP) method is a desktop-based application that has implemented the AHP (Analytical Hierarchy Process) method, this application runs on a Windows operating system created using the Visual Basic .NET programming language and SQL Server 2008r2. This application can be used to assist in the assessment process in determining the annual bonus at PT. Vizta Pratama Bengkulu where this application uses 4 predetermined criteria and then processed using the AHP (Analytical Hierarchy Process) method so as to produce values that will be ranked. Based on the results of the Blackbox testing that has been carried out, it can be concluded that the decision support system for providing annual bonuses at PT. Viztapratama by using the analytical hierarchy process (AHP) method is able to run well and can overcome data input errors by users and the SPK application with the Analytical Hierarchy Process method has provided effective results in accordance with the results of calculations using paired comparisons of 4 criteria where the comparison of pairs of criteria must produce consistent weighting criteria.
Decision Support System for Determining Achievement Teachers Using Fuzzy-Analytical Hierarchy Process (F-AHP) (Case Study: SMP IT Khairunnas Bengkulu) Migi Migi; Siswanto Siswanto; Jhoanne Fredricka
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.292

Abstract

Assessment of outstanding teachers aims to increase teacher productivity in the teaching and learning process. There are 4 criteria that are assessed, namely understanding of students, designing lesson plans, evaluating learning outcomes, and developing students. However, all of the outstanding teacher assessment processes still use Office Word and Excel applications, so it takes a long time because there is no structured database that can help store data so as to simplify the data processing process. This application is made using Visual Basic .Net programming language and SQL Server 2008r2 database, where the application has implemented one of the Decision Support System Methods, namely Fuzzy-Analytical Hierarchy Process (F-AHP). The data of outstanding teachers who were assessed were 10 people, processed into the Fuzzy-Analytical Hierarchy Process (F-AHP) method with the stages of determining the type of criteria, making alternative criteria, determining the pairwise comparison matrix, determining the comparison matrix of F-AHP criteria, determining the value of the synthesis, determine the value of vector (V) and fuzzy ordinate value (d'), calculation of weights and normalization of weight vectors, normalization results, as well as ranking and decision results. So as to produce the final score of the teacher's assessment with the highest score of 91.66. Based on calculations from assessment data that has been tested the Fuzzy-Analytical Hierarchy Process (F-AHP) method is able to provide appropriate and appropriate recommendations and can assist in the assessment of outstanding teachers at SMP IT Khairunnas Bengkulu.
Application of AHP Method in The Decision Support System for Determining the Best Early Childhood Education (PAUD) by Education Office of Bengkulu City Novita Sari; Maryaningsih Maryaningsih; Jhoanne Fredricka
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.293

Abstract

Early Childhood Education (PAUD) is education to help physical and spiritual growth and development so that children have readiness to enter further education, which is held on formal, non-formal, and informal. In determining Best Early Childhood Education there are criteria from Education and Cultural Office Bengkulu City, namely there are six criteria, including Accreditation, Curriculum, Facilities, Tuition Fees, Number of Teachers, Number of Students. The research method used is the Analytical Hierarchy Process (AHP) method. AHP can assist in making decisions on complex issues by simplifying the process. This system can assist decision makers in determining the best Early Childhood Education quickly and accurately. It is hoped that later this application will be able to use this application in determining the Best Early Childhood Education at Education and Cultural Office Bengkulu City, as well as maintenance of the application that the writer has previously made so that in the future it can be used by Education and Cultural Office Bengkulu City.
Application of the Six Sigma Method in Knowing the Level of Student Satisfaction with the Learning System in Schools Roni Ardiwan; Leni Natalia Zulita; Jhoanne Fredricka
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.297

Abstract

SMA Negeri 4 Bengkulu Tengah is one of the state high schools located in Bengkulu Tengah Regency, Bengkulu Province. SMA Negeri 4 Bengkulu Tengah does not yet have a system that can be used to measure the level of student satisfaction with the learning system in schools, so there is no parameter for the level of student satisfaction. This results in the school not having a benchmark in knowing and evaluating the learning system that is currently being carried out. This impact makes it difficult for schools to improve the learning system in schools. The application of the level of student satisfaction with the learning system at SMA Negeri 4 Bengkulu Tengah Regency was made using the Visual Basic programming language. Net with SQL Server 2008r2 database, where the application has been applied to the Six Sigma method in analyzing the level of student satisfaction. The application of the level of student satisfaction with the learning system at SMA Negeri 4 Bengkulu Tengah Regency is able to facilitate students in providing an assessment of student satisfaction, and also makes it easier for the school to determine the level of student satisfaction with the learning system at school. In the application of the level of student satisfaction with the learning system at SMA Negeri 4 Bengkulu Tengah Regency, there are 2 access rights granted, namely Administrator and Student. To enter the administrator's main menu page and the student's main menu, the user must first log in. Based on the blackbox testing that has been carried out, the functional application of the level of student satisfaction with the learning system at SMA Negeri 4 Bengkulu Tengah Regency can run as expected in terms of data input, analysis and print report output.
Comparison of the K-Nearest Neighbor Method and the Naive Bayes Method in Classification of Eligibility for Lending Perlius Septria; Asnawati Asnawati; Jhoanne Fredricka
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.952

Abstract

The Kemala Aman Finance Bengkulu Cooperative also provides loan facilities for consumers, but not all loan applications will be approved. So far, the determination of the feasibility of applying for a loan is seen from several aspects including marital status, number of dependents, age, last education, occupation, monthly income, home ownership, collateral, number of loan applications, length of loan application. These aspects are analyzed manually by the survey team by filling out the form provided, and then the survey results are given to superiors to be followed up on whether the loan application is accepted or rejected. The loan eligibility application at the Kemala Aman Finance Bengkulu Cooperative is used to make it easier to determine the eligibility of prospective borrowers to be given loans based on marital status, number of dependents, age, last education, occupation, income, home ownership, collateral, number of loan applications, length of loan application. This application is made using the Visual Basic .Net programming language which can be accessed by the Kemala Aman Finance Bengkulu Cooperative Admin. Comparative analysis of the K-Nearest Neighbor method and the Naive Bayes method was carried out by looking at the level of accuracy by comparing the classification results of the two methods with the real data from the classification results obtained from the Kemala Aman Finance Cooperative Bengkulu. Based on the processing time, the KNN method is faster than the Naive Bayes method. Based on the level of accuracy, the KNN method has the highest level of accuracy compared to the Naive Bayes method. Based on the tests that have been carried out, the functionality of the loan eligibility application at the Kemala Aman Finance Bengkulu Cooperative runs as expected, and the application is able to display the results of the classification of loan eligibility through the KNN Method and the Naive Bayes Method.
Application Of The Level Of Community Satisfaction With Services At The Education Office Of The District Of North Bengkulu Using The Csi (Customer Satisfaction Index) Deddy Pertan Sagala; Jusuf Wahyudi; Jhoanne Fredricka
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1846

Abstract

The North Bengkulu Regency Education Office is one of the government agencies in North Bengkulu Regency, Bengkulu Province. So far, the process of evaluating the serkvices of each employee at the Education Office of North Bengkulu Regency is still carried out internally without the views of the community. This certainly cannot be used fully in knowing the level of service satisfaction. The application of the level of public satisfaction with services at the North Bengkulu Regency Education Office using the CSI (Customer Satisfication Index) Method can assist the admin in managing the results of the service satisfaction assessment survey at the North Bengkulu Regency Education Office and provide information on the results of the public satisfaction assessment survey on the services provided. In addition, the application can also facilitate the community in providing an assessment of satisfaction with services at the North Bengkulu Regency Education Office.The application of the level of public satisfaction with services at the North Bengkulu Regency Education Office using the CSI (Customer Satisfication Index) Method is made with the PHP programming language and MySQL database. Based on system testing that has been carried out, it can be concluded that the application of the level of public satisfaction with services at the North Bengkulu Regency Education Office has run well and can be able to provide information in the form of the level of public satisfaction with services at the North Bengkulu Regency Education Office through the stages of the CSI (Customer Satisfication Index) Method.
Co-Authors Aji Sukmo Alianse, Rizka Tri Anisyah Juniarti Annisa Putri Pratiwi Asnawati Asnawati Castaka Agus Sugianto David Tri Julian Deddy Pertan Sagala Desi Mahdalena Devina Ninosari Dini Rohmayani Feri Hari Utami Feri Hari Utami, Feri Hari Fezi Fadwa Rendika Herlina Latipa Sari Hermawansa Juju Jumadi Jusuf Wahyudi Kanedi, Indra Kanedi Lena Elfianty Leni Natalia Zulita Liza Yulianti M. Ajis Akbar Kurniawan Maryanigsih, Maryanigsih Maryaningsih Maryaningsih Maryaningsih Maryaningsih Migi Migi Mohamed Doheir Nofi Qurniati Novita Sari Perlius Septria Reza Ardiansyah Riska Eka Aprianty Rizka Tri Alinse Roni Ardiwan Sallaby, Achmad Fikri Sari, Novita Siswanto Siswanto Siswanto Siswanto, Siswanto, Surya Ramadhan Toibah Umi Kalsum Venny Novita Sari Yupianti, Yupianti