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Kab. indragiri hilir,
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INDONESIA
Sistemasi: Jurnal Sistem Informasi
Published by Universitas Islam Indragiri
ISSN : 23028149     EISSN : 25409719     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Sistemasi adalah nama terbitan jurnal ilmiah dalam bidang ilmu sains komputer program studi Sistem Informasi Universitas Islam Indragiri, Tembilahan Riau. Jurnal Sistemasi Terbit 3x setahun yaitu bulan Januari, Mei dan September,Focus dan Scope Umum dari Sistemasi yaitu Bidang Sistem Informasi, Teknologi Informasi,Computer Science,Rekayasa Perangkat Lunak,Teknik Informatika
Arjuna Subject : -
Articles 40 Documents
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Search results for , issue "Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi" : 40 Documents clear
Design and Development of Mango Ripeness Classification Tool using CNN Android-based Platform Mursalin, Zaldy Gumilang; Taqwa, Ahmad; Salamah, Irma
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4379

Abstract

Artificial ripening methods use calcium carbide (carbide) which often leaves harmful residues on the mango fruit. This research designs a classification tool for carbite and non-carbite mango fruit using the Android-based InceptionV3 Convolutional Neural Network method. The mango fruit image dataset consists of 1622 images (881 images of carbite mangoes and 811 images of non-carbite mangoes) used to train and test the model. The testing process is done by implementing the model on a Raspberry Pi B+ connected to a camera pi to take pictures of mangoes at a distance of 30 cm. The results showed that the CNN model developed achieved an average accuracy of 94.4% in classifying carbitan and non-carbitan mangoes. This result shows that the classification tool designed can provide significant benefits for farmers, traders, and consumers in ensuring marketed quality.
The Influence of the Success of the Surabaya Citizens' Love Application using TAM and Delone Mclean pradana, brillyan putra; Wulansari, Anita; Safitri, Eristya Maya
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4609

Abstract

The Surabaya City Government launched an application based on an internet site or web page in the form of a data collection system carried out by the local Kader Surabaya Hebat (KSH) to record various problems in the community related to poverty and health problems, the application was named the Sayang Warga Application (ASW). The application that was launched does not mean it has shortcomings because until now the application has never been maintained, causing ASW to be considered less than optimal and this clearly hinders the performance of users in conducting data collection. This study uses the right method to achieve a goal. From what can be traced and studied, the appropriate method is to use a quantitative method. This study uses the Partial Least Square-Structural Equation Model (PLS SEM) method. The results of 12 variable relationship paths, 4 variable path relationships were declared insignificant and rejected because the T-test and P-value values were below 1.96 and 0.05, while 8 variable path relationships were declared significant and accepted because the T-test and P-Value values were above the threshold, namely 1.96 and 0.05. Furthermore, the results of the analysis of factors that influence the success of use in ASW can be concluded, the results of the hypothesis test indicate that perceived ease of use has a positive and significant effect on perceived usefulness. Because the hypothesis path has the highest value with a T-test of 6,560 with a P-Value of 0.000
Mobile Application for Ordering Custom Motorbike Packages at the TWBW Workshop with CRM Implementation Atsil, Rayhan Alpatih; Samsudin, Samsudin
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4543

Abstract

The Wild Brain Workshop (TWBW) is a custom culture community in Medan that was founded in 2011. This community started from a custom workshop which then developed into a wider community with a focus on custom motorbikes, music and lifestyle. TWBW, as one of the well-known custom motorbike workshops in the city of Medan, of course gets lots of orders from various custom motorbike lovers. This research was created to create a mobile application for ordering custom motorbike packages by implementing CRM (Customer Relationship Management). The problem formulation in this research is designing an effective mobile application for ordering custom motorbike packages and implementing CRM to improve relationships with customers. The aim of creating this application is so that you can easily view the various custom motorbike packages available, see detailed specifications and prices, and place orders directly through the application. The implementation of CRM in this application is found in the chat feature and customer service menu. By implementing CRM (Customer Relationship Management), it is hoped that TWBW can manage relationships with customers, by utilizing technology to maximize communication and marketing. Through the development of this application, it is hoped that the use of this technology can effectively improve the ordering process.
Optimization of Sentiment Analysis for Amikom One Application Reviews Using SMOTE with Artificial Neural Network Algorithm Limbong, Hendra Halomoan; Norhikmah, Norhikmah Norhikmah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4437

Abstract

Sentiment analysis is a technique to decipher textual views and feelings. This study assesses a model's performance in sentiment analysis of Google Play Store reviews for the Amikom One app. With more unfavorable ratings, the primary problem is the imbalance in classes. It was done using the Synthetic Minority Over-sampling Technique (SMOTE) to remedy this. The techniques used are preprocessing the data, using SMOTE, and classifying sentiment using an artificial neural network (ANN). F1-score, recall, accuracy, and precision are used in the model evaluation process. The outcomes demonstrate a great degree of accuracy improvement in the ANN model's performance following the use of SMOTE. On training data, the model successfully classified sentiment reviews with 100% accuracy, while on test data, it achieved 93.44% accuracy. Sentiment research shows that 54.10 percent of the evaluations are favorable to the application, with 45.90% being critical. This study Artificial Neural Networks' (ANN) potential in sentiment analysis of mobile application reviews, offering developers with useful insights into how to enhance program quality using user feedback.
A Comparison of K-Means and Fuzzy C-Means Clustering Algorithms for Clustering the Spread of Tuberculosis (TB) in the Lungs Ramadani, Faradila; Afdal, M.; Mustakim, Mustakim; Novita, Rice
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4277

Abstract

Tuberculosis (TB) is an airborne infectious disease that affects people of all ages, including infants, children, teenagers and the elderly. This disease is prevalent in different areas of Indragiri Hilir Regency, so it is important to identify and group the areas that are the focus of its spread. The purpose of this study is to help hospitals organize training in areas where tuberculosis is common. This study uses a data mining method with grouping techniques of K-Means and Fuzzy C-Means algorithms based on patient data from Puri Husada Tembilahan Hospital from 2020 to 2023. After several experiments, the results were evaluated with DBI, which showed that K- Means gave the best validity with a value of 0.9146. Which shows that the areas with high risk of TB are Tembilahans aged 55-64 who have been diagnosed with complicated TB. This method was then applied to the TB group information system of Puri Husada Tembilahan District Hospital in the hope that it could help the hospital reduce the spread of the disease in the affected area.Keywords: DBI, fuzzy c-means, clustering, k-means, tuberculosis.
Evaluation of User Experience for the OVO Application using the User Experience Questionnaire Method (UEQ) Fariha, Umi; Saputra, Eki; Hamzah, Muhammad Lutfi; Fronita, Mona
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4588

Abstract

Along with advances in digital technology, the ease of carrying out payment transaction processes via digital wallet applications is increasing. OVO is one of the leading digital wallet applications in Indonesia. However, there are several users who complain and report problems such as difficulties in upgrading, login problems, transaction failures, and applications that respond slowly. These reviews can be seen through the comments column in the OVO application on Google Playstore. Application representation can influence user perceptions of an application. This research aims to assess the user experience of the OVO application using the User Experience Questionnaire (UEQ) method, which involves six aspects of assessment: attractiveness, clarity, efficiency, stimulation and innovation. The research results obtained show that the overall user assessment of the evaluation that has been carried out on the OVO application is positive. This research is expected to be able to provide important insights and information regarding user satisfaction with digital wallet applications. Apart from that, it is also hoped that this research can become a reference for subsequent research and further development related to the OVO application, with the aim of improving the user experience.
Influencing the Adoption of e-Government: A Systematic Literature Review Qiyamullaily, Arista; Subriadi, Apol Pribadi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4491

Abstract

This Systematic Literature Review study discusses the factors that influence the adoption of e-government services with varsiability in the influence of these factors in various countries. The research confirms the importance of trust, performance expectancy, effort expectancy, social influence, and facilitating conditions in the acceptance and adoption of e-government services. Trust factors, especially related to information security and government transparency, were found to be key elements in driving e-government adoption. In addition, the expectation of benefits obtained, ease of use, and influence from the social environment also play an important role in people's decision to use the service. Suggested recommendations to increase e-government adoption involve improving technology infrastructure, supportive policies, technology training for government personnel, as well as an approach that considers local community conditions and factors. This study provides important insights for governments and agencies in improving e-government services and increasing the adoption of these technologies across various social and cultural environments.
Face Detection Dengan Model Arsitektur VGG 19 Pada Metode Convolutional Neural Network Pramuditha, Adeyuni Zada; Suroso, Suroso; Fadhli, Mohammad Fadhli
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4399

Abstract

This study develops a facial emotion detection model using the VGG-19 architecture on the Convolutional Neural Network (CNN) method. The study aims to improve the accuracy of facial expression recognition in a variety of applications, including the fields of education and marketing. The dataset used consisted of 7 categories of emotions, with 80% of the training data and 20% of the testing data. The research process includes dataset collection, data pre-processing, CNN model design, and model training with epoch variations. The results showed an increase in accuracy as the number of epochs increased, with the highest accuracy reaching 69.81% in training data and 63.30% in validation data after 100 epochs. The model showed good performance in classifying "happy" emotions, but had trouble distinguishing between sad, neutral, scared, and angry emotions. The study proves CNN's effectiveness in classifying facial emotions, although there is still room for improvement, especially in distinguishing similar emotions.
Digital Image-based Classification of Clove Quality using Naïve Bayes Algorithm Dilla, Dilla; Nur, M. Adnan; Djamaluddin, Musdalifah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4617

Abstract

At present, clove cultivation is increasingly in demand, especially by farmers because it is easy to maintain and the selling price is high. Researchers conducted observations in Tana Toa Village on how the processing of cloves after harvesting is drying them in the sun until they turn brown and shrink. After that, farmers select dried cloves and distinguish between good and bad quality. One way for farmers and traders to determine the quality of cloves is by visually inspecting the size and color. One of the disadvantages of this manual classification process is that each person can look at the same material in bulk in different ways depending on the situation or individual weak points. The aim of this research is to help farmers produce high quality cloves that will ultimately produce favorable results on their economy. With digital image-based methods and Naive Bayes, this process can be done quickly and efficiently, reducing operational costs and labor time. The Naive Bayes algorithm is able to process data more thoroughly than humans, especially if the image quality and features used for classification are optimized. This reduces human errors that may occur during manual processing. The results of this study are, Gaussian Naive Bayes testing has an accuracy of 0.82. Bernoulli naïve bayes has an accuracy of 0.69, Complement naïve bayes and multinomial naïve bayes each have an accuracy of 0.89. This shows that they affect the accuracy rate of clove quality effectively
Implementation of the MOORA Method in the Library Book Procurement Decision Support System Firmansyah, Ferdian; Hakim, Lutfi; Kristanto, Sepyan Purnama
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

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

Abstract

Every year, the library must be buying books in order to increase the collection of books that are in the libraries. When purchasing books, it is necessary to make various considerations so that the books that will be used are relevant to the needs of students and lecturers in academic activities. The procurement of books in the library is still done manually with book selection carried out by the librarians is still one-on-one of the list of submissions of books that have been made by the lecturer. Therefore, there is a need to have a renewal of the system of book acquisition in the libraries one of which uses the decision support system in the process of the book acquisitions. In this study the decision support system used is the MOORA method in determining the rating of the recommendation book to be held. The alternative submission data will be obtained from the library's proposal with the book data from the publisher's book collection. The study uses five criteria for book acquisition, including book price, year of publication, book stock, number of book proposals, and availability of books. This decision support system will provide a recommendation for purchase of books from the alternative data for book submission that will be calculated using the MOORA method to obtain any book recommendation that matches the criteria and budget of the book procurement. Accuracy level testing using the Confusion Matrix by comparing the results of manual calculations with the system to obtain 100% accuracy.

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