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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 1,011 Documents
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The Roles of Subjective Norms and Accessibility in the Acceptance Model of Koperasi Karunika Online Application Tantri, Sakina Nusarifa; Patiro, Shine Pintor Siolemba
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3590

Abstract

The massive change from the offline to online era is a sign of digital disruption. One of the organizations that has also been affected is Koperasi Karunika. The purpose of this study is to refine TAM model by adding two antecedents namely accessibility and subjective norm to explain and predict the intention to use online saving and loan application in Koperasi Karunika. In this quantitative study, the variables are explored using online survey. The numbers of respondents in this study is 62 participants. The data were analyzed using SEM PLS. The refinedt model of the TAM used in this study is appropriate but only partially because not all of the proposed hypotheses are supported by the data. Subjective norm was found to be significantly affecting the intention to use, while accessibility was found to be no effect on intention to use the online saving and loan application.
Expert System for Diagnosing Diseases in Rubber Plants using the Forward Chaining and Dampster Shafer Methods Ningrum, Indri Ayu; Samsudin, Samsudin; Kusdiana, Alchemi Putri Juliantika
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (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.v13i2.4008

Abstract

Rubber plants are important crops in various countries. Rubber plants have many benefits for human life. Rubber plant diseases cause many losses to farmers. Lack of knowledge and information regarding the treatment of existing diseases is a factor that causes the decline in rubber latex productivity. Appropriate control is needed to overcome this problem. An expert system is one solution that can help farmers find out information about facts about rubber plant diseases. Expert systems are artificial intelligence sciences that can help provide solutions to problems faced by farmers as if they were consulting with experts. Therefore, a system was developed that can diagnose diseases in rubber plants using this method Forward Chaining and Dempster Shafer. Forward Chaining serves as a tool to draw conclusions from the information that has been established and Dempster Shafer to handle uncertainty in symptoms, so as to produce final conclusions. From 15 trial data, accuracy results were obtained at 93.33%. Thus method Forward Chaining and Dempster Shafer can be used to diagnose types of diseases in rubber plants because it has very good accuracy.
Development of Reading Literacy Application System using Extreme Programming Method Bahres, Salim Bin Sulaiman; Subhiyakto, Egia Rosi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (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.v13i2.3786

Abstract

Along with the advancement of technology, educational media is experiencing progress. Traditional learning methods are shifting and being replaced by technology-based learning. One crucial aspect of technological advancement is the ability to comprehend written text. The lack of interest in reading can have adverse effects, such as being susceptible to fake news without clear sources. The reading interest in Indonesia is notably low. According to data from the Programme for International Student Assessment (PISA), Indonesia ranks 74th out of 79 countries in terms of reading literacy skills. The development of a literacy reading website can be a solution to address this issue, particularly in enhancing an individual's reading interest and skills. In this research, the development of the literacy reading website employs the Extreme Programming development method as it considered highly effective in meeting project requirements that demand swift execution and quick adaptation to change. The objective of this study is to create a literacy reading website with a narrative and e-learning concept, featuring literacy readings and quizzes to support the improvement of reading skills. The results indicate that the literacy reading website functions well and can be effectively utilized in the reading skills training process, validated through functional testing using the black-box testing method with 100% results.
Application of the Trend Moment Method to Predict Shoes Sales Gilang Nugroho Syahputra Jarod; Iqbal Kamil Siregar; Endra Saputra
Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): 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.v12i2.2781

Abstract

The N+2 Fashion store is engaged in selling trend shoes which is located in Air Batu City. Activities in the N+2 Fashion Store include ordering and selling trending shoes. Checking the supply of trending shoes is done by checking them one by one, of course this will make it very difficult for employees to estimate the number of trend shoes they want to order from each trending type of shoe. The large number of trend shoe brands is an obstacle in carrying out business processes which results in wrong prices for these trend shoes. In predicting trend shoes must ensure the sales process, minimize costs and time required. The problem faced by the N+2 Fashion Store is the difficulty in predicting the number of items that must be available for the next period in order to meet customer needs and not cause a buildup of goods in the long term. To overcome this problem, predictions are made using the trend moment method which is a forecasting method used to see trends (data that have increased) based on historical data from one variable using time series data. The results of the research obtained a prediction that in September 2022 there would be 9 pcs of Adidas shoes sold with a MAPE error rate of 16.33%.
Development of Apple Fruit Classification System using Convolutional Neural Network (CNN) MobileNet Architecture on Android Platform Masparudin, Masparudin; Fitri, Iskandar; Sumijan, Sumijan
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (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.v13i1.3533

Abstract

In the current digital era, image classification of fruits, particularly apples, has become crucial for various applications, ranging from agriculture to retail. This research focuses on the utilization of Convolutional Neural Network (CNN) with the MobileNet architecture to classify apple fruit images. Using the Python programming language, three models were successfully trained: Model 1 for apple fruit types, Model 2 for apple fruit diseases, and Model 3 for apple fruit ripeness levels. All three models underwent training and validation, with the final results at epoch 10: Model 1 for apple types achieved an accuracy of 100% and a loss of 0.0046, Model 2 for apple diseases achieved an accuracy of 100% and a loss of 0.0075, while Model 3 for apple ripeness levels achieved an accuracy of 99.76% and a loss of 0.0439. Subsequently, these models were tested on an Android device, and there were two testing scenarios. In the first scenario, each model was tested with 15 images individually. The results showed 100% accuracy for Models 1 and 2, while Model 3 achieved a lower accuracy of 86.67%. In the second scenario, all three models were tested simultaneously using 30 test images, resulting in an accuracy of 55.55%. Several factors, such as limitations in the apple image dataset, particularly in the ripeness dataset, object backgrounds, image capture distances, color and texture similarities, as well as lighting quality, influenced the classification outcomes. To enhance future performance, improved data preprocessing and a combination of detection and classification techniques are needed. This research provides valuable insights for researchers and practitioners looking to implement image classification technology in real-world applications.provides valuable insights for researchers and practitioners looking to implement image classification technology in real-world applications.
Analysis and Prediction of Foodstuffs Prices in Tasikmalaya Using ELM and LSTM Winata, Andry; Lauro, Manatap Dolok; Handhayani, Teny
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): 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.v12i3.3145

Abstract

Foodstuffs price analysis and prediction is one of the important research topics. This paper applies Long Short-Term Memory (LSTM) and Extreme Learning Machines (ELM) as models for forecasting the price of rice, chicken meat, chicken egg, shallot, garlic, and red chili in the Tasikmalaya traditional market. The dataset is a daily time series obtained from April 2017 - February 2023. LSTM models perform accurately to forecast 5 foodstuffs prices and obtain MAPE scores of no more than 3%. ELM works well to predict the price of rice, chicken meat, chicken egg, shallot, and garlic with MAPE scores are less than 1%. The price of rice, chicken egg, shallot, and red chili has an increasing trend. The correlation analysis finds that the price of chicken egg, shallot, and red chili has a positive correlation with each other.
Literature Review: Characteristics of Digital Leadership in Digital Transformation Ridha, Rizkillah; Susanto, Tony Dwi; Subriadi, Apol Pribadi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3796

Abstract

Digital transformation has recently created significant research interest due to its acceleration across industry sectors. However, the existing literature on digital transformation that addresses digital leadership characteristics is insufficient to provide a comprehensive understanding. This research explores the characteristics, traits, and skills of digital leadership. The research methodology used a systematic literature review summarizing 30 articles from Scopus-indexed journals. Characteristics are obtained from citations from previous research that discusses digital transformation leadership. The results of this study explain that digital leadership characteristics consist of twenty different traits, seven of which are characteristics of digital leaders that are important for the effective implementation of digital transformation. As such, these characteristics can reflect the significance of digital leaders in achieving digital transformation goals at the human and organizational levels.
Implementation of Web-based Student Report Card Score Information Systems in Junior High Schools in Indonesia Muhammad, Fakhry; Sutomo, Rudi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (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.v13i1.3431

Abstract

Education-related businesses are conducted by SMPN 286 West Jakarta. The traditional method of recording and processing student grade data by the concerned teacher frequently results in errors. Hence SMPN 286 intends to develop an integrated system for processing and recording student report cards. Report cards for students are delayed as a result, and processing and recording problems occur when grades are calculated. Record card It also takes a long time to process and record data values manually. The Rapid Application Development (RAD) method will be used to create a report card value information system based on a website. Compared to other ways, work done utilizing the Rapid Application Development (RAD) method is quick and effective; therefore, employing it to construct a report card information system website can be helpful. The SMPN 286 West Jakarta has issues that can be helped and resolved by establishing a website-based report card grade information system. Online information system based on report cards' grades. The concerned instructor does not need to manually process and record value data for students to reduce recording errors, process student report cards, and cut processing times for processing and recording value data.
Job Market Test Attendance System With Health Protocols Using The Internet Of Things Putra, Andriyan Dwi; Hakim, Lukman; Mustopa, Ali
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): 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.v12i3.2910

Abstract

During the transitional period related to the coronavirus outbreak, the need for jobs began to increase. The number of prospective workers who will apply for a job in a company by doing a selection test at the Job Exchange. On the other hand, to suppress the spread of this epidemic, the interaction between Job Exchange officers and prospective job applicants must be limited. So by creating a Job Exchange Test attendance system according to health protocols with the Internet of Things devices, it can be used to limit the interaction of prospective job applicants with job exchange officers. This system was built using the Waterfall Model Software Development Life Cycle method, by utilizing the ESP8266 microcontroller components, the MFRC522 module, and the MLX90614 sensor which will support the performance of this system. The results of this study are taboos for prospective job applicants who have an illegal condition or have a temperature above normal, may not enter the room without interacting directly with the officer, but the device will sound a buzzer notification and a warning message will be sent from the microcontroller and received by the officer via telegram. In this study, a comparison was made to obtain the ideal distance for scanning body temperature at various different distances, and the results of the comparison obtained the smallest percentage error value of 0.027% at a distance of 3 cm.
Human Resource Information System in SU II Sub-district Palembang Yulia, Indah Yulia; Abdillah, Leon Andretti
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (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.v13i3.3688

Abstract

Advances in information technology and the internet make it very easy for a person to get information. Web-based information systems also play an important role in an organization, including Employee Promotion, Mutation, and Pension Information Systems in SU II District, Palembang City. The system was developed using the PHP programming language, MySQLi database, and Web Engineering methods. This web-based system can facilitate the General and Personnel Section in carrying out their duties and functions in processing data quickly with a responsive and user-friendly display so that it can be accessed on desktop and mobile devices and also it is equipped with a feature to send notifications to Email and WhatsApp. Another advantage of this web-based information system is equipped with a feature to send barcodes from important Decision Letters as a security measure in maintaining the confidentiality of important documents.

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