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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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UI/UX Design for Mobile-based Sports Instructor Search Application “Befind” using Design Thinking Cahyadi, Kadek Wawan; Indradewi, I Gusti Ayu Agung Diatri; Pratiwi, Putu Yudia
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.v12i3.2986

Abstract

BeFind is a website-based application that facilitates the public and sports instructors to be able to interact and transact with each other. However, the website has deficiencies such as incomplete features and inflexible use, so it is necessary to design a mobile-based application to optimize the features. The purpose of this research is to produce UI and UX model designs that apply the Design Thinking method and to find out the results of usability testing. Design Thinking is a product design process resulting from problem-solving efforts that arise from potential product users. Empathy stage, conduct interviews to get problems. The define stage is carried out by creating a user persona from the results of the interview. The ideate stage is carried out by brainstorming to compile user flow. The prototype stage is made in the form of a mockup design and a prototype design is prepared. The test phase was carried out to test the design with task scenarios on 4 usability aspects and 1 aspect using the System Usability Scale (SUS) questionnaire. In the final test for service seekers and service providers respondents obtained 97% and 96% learnability results, efficiency 0.033689182 goals/sec and 0.033689182 goals/sec, 96% and 95% memoryability, 0.0306 and 0.0800 errors, and satisfaction with SUS obtained 94 results with the best imaginable predicate. In efficiency there is a decrease in yield caused by a bad signal factor. The resulting UI and UX can become the foundation for development of the "BeFind" mobile application based on the prototype design that has been designed in this study.
Analysis of ChatGPT Adoption using the UTAUT Model Galantry, Lisa Amelia; Tanaamah, Andeka Rocky
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.v13i3.4124

Abstract

In the current digital era with information technology is developing rapidly in various fields. Especially in all human work that requires working quickly with maximum results. many innovations have emerged, one that currently popular is Artificial Intelligence (AI). One of the popular AI currently is ChatGPT, with many of ChatGPT's users, including students. This research contains what factors that influence interest in using ChatGPT, especially among students, with a case study focusing on undergraduate students of Information Systems at Satya Wacana University. The aim is to identify the factors influencing students in using ChatGPT for both learning and daily activities, The Unified Theory of Acceptance and Use of Technology (UTAUT) model is being used in this study. The results of this research show that the acceptance of ChatGPT among Undergraduate Students of Information Systems at Satya Wacana Christian University. Performance expectancy and Facilitating conditions are factors that influence the intention to use ChatGPT. Then there is behavioral intention shows that the intention to use also influences user behavior.
Online Project Processing Information System at the Foundation Sumatran Orangutan Lestari Fathur Muhammad Rahman; Muhammad Irwan Padli
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.v12i2.2848

Abstract

The Online Project Processing Information System at the Sumatra Lestari Orangutan Foundation (YOSL-OIC) is of course website-based, which is a project report information system that is carried out online that allows users to access data in real-time and can make the right decisions in a short time and it also makes it easier for the industry to manage and work on projects in a planned, controlled, analytical and sustainable manner. Industry must also be able to control how project activities are carried out. At YOSL-OIC, Data processing information systems are being evaluated in a semi-manual fashion, which is inefficient in terms of both time and accuracy. The study's overarching goal is to create a web-based data system that streamlines data collecting and processing and can be accessed from any location, among other benefits. The application that is formed includes work data that shows features such as collecting pictures and videos during activities, lists of donors, and can input projects through the website directly without going through software such as Ms.Word or other Office parts and several others. Employees may quickly and easily save enormous volumes of data, generate comprehensive reports, and guarantee the safety of sensitive project information with the help of this program.
Analysis and Visualization of Breast Cancer Prediction through Machine Learning Models Ayepeku, Olukayode Felix
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.v13i3.4100

Abstract

This research presents an in-depth exploration of breast cancer prediction through the application of machine learning models, specifically focusing on Logistic Regression, K-Nearest Neighbors, Support Vector Classifier, 'Decision Tree Classifier, Random Forest Classifier, Gradient Boosting Classifier, AdaBoost Classifier, and XGBoost Classifier. The study utilizes a comprehensive dataset comprising clinical features extracted from Kaggle. Various algorithms are employed, and a meticulous analysis of precision, recall, F1-score, and accuracy is conducted to assess model performance. Through advanced visualization techniques and statistical analysis, the research provides insights into the effectiveness of machine learning models in predicting breast cancer. The outcomes of this study aim to contribute valuable knowledge to the field of medical diagnostics, emphasizing the importance of machine learning methodologies in enhancing breast cancer prediction and classification.
Application of Blockchain for Tracking Government Funds: Case Studies on Distribution of Regional Transfer Funds Hakim, Lutfi; Aji, Rizal Fathoni
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.v13i1.3481

Abstract

Tracking of Regional Transfer Funds from the Central Government to Regional Governments cannot be carried out optimally which causes the potential for fraud. The tracking in question is related to how long the funds have been sitting in the regional bank before being distributed, when should the funds be distributed, and whether the funds have been used to pay for a predetermined project. This research is a qualitative research through literature studies, observations and interviews which aims to analyze whether blockchain can be the right solution for the problem of tracking regional transfer funds. Based on an analysis using the Enterprise Blockchain Design Framework (EDBF), blockchain can be an alternative solution to this problem, especially if it is built with the characteristics of a Private/Consortium Permitted Blockchain using Hyperledger Fabric. There are five participants in the proposed design starting from government agencies and banking. The results of this design were verified by system developers at the Ministry of Finance, the results of this technology have the potential to be applied and overcome the problem of tracking regional transfer funds.
Implementation of Data Mining using Aprirori Algorithm to Improve Sales Patterns of MSME Products Prayoga, Riza Akhsani Setyo; Putra, Adzanil Rachmadhi
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.v13i3.3472

Abstract

Business development is getting faster and full of rivals, especially in the world of MSMEs. MSME entrepreneurs need to develop marketing strategies so that their products can sell a lot so that they can make a profit. One way to assist in marketing strategies can use a priori algorithms so that they can help in sales patterns by using historical consumer transaction data. After testing the results of this system gives good results. This a priori algorithm has several stages in the calculation process starting from the process of calculating support and determining minimum support to evaluate data values that are below minimum support. Then the confident calculation to assist in the formation of association rules so that there are steps to evaluate the value of data that is below the minimum confident. Then there is an elevator to provide information validly and show the transaction process. The results obtained from this a priori algorithm form an association rule "If you buy a cassava balado stick, then buy a balado corn stick" then from this association rule entrepreneurs can be helped in selling products that tend to be bought by many consumers. The last stage is tested from manual calculations ranging from support, confident to elevator with calculations on the web. The test results obtained that manual calculations and calculations on the web have the same value.
Analysis IT Governance of Perumdam Tirta Siak using COBIT 2019 and ISO27001 Sari, Mayang; Andriyani, Yanti; Id, Ibnu Daqiqil; Sukamto, Sukamto
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.v13i2.3429

Abstract

Perumdam Tirta Siak Pekanbaru (PDAM) is a local government company responsible for the management and fulfillment of water needs. PDAM currently uses information technology to provide excellent service to customers. The Institute of Directors Report explains that a company has good IT governance if it focuses on risk management and resource management, value fulfillment, and strategic alignment. The level of IT capability in supporting the company's performance can be known through evaluation activities on the current IT implementation. Evaluation is important to determine the level of IT capability in supporting company performance in accordance with the objectives. Thus, this study aims to evaluate information technology governance through an analysis process using the COBIT 2019 framework and the ISO/IEC 27001 standard with process objectives APO14 - Managed Data and BAI06 - Managed IT Changes. The results showed that the current level of IT implementation capability in objective APO14 - Managed Data and BAI06 - Managed IT Changes is at level 2, namely the process has been running but there are still a number of activities that have not been carried out properly. There is a gap between the current capability level and the desired capability level of 1 level (APO14) and 2 levels (BAI06). Thus, 15 improvement recommendations are proposed that refer to the ISO / IEC 27001 standard to create IT governance that is effective, efficient and aligned with company goals.
The Analysis of Extended Technology Acceptance Model to Understand use of Platform at Education Technology Startup Heru Wijayanto Aripradono
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.v12i2.2732

Abstract

The growth of startups in Indonesia Education Technology (EdTech) has increased significantly and related with the growth of EdTech globally. Related to the pandemic and the need for future skills, it is a moment for EdTech startups, to build a process, approach and strategy for teaching-learning activities to be able to produce someone with the skills needed in the future. The purpose of this research is to see how the technology-based learning process in EdTech startups can be used and adapted by users in improving their skills and needs in the future. This research uses the Technology Acceptance Model (TAM) framework by adding facilitating condition variables as extended factors to see how the user's environmental conditions help encourage and adapt the use of technology. This research uses a quantitative method where data collection is carried out to students who are still active in EdTech startups Indonesia in the period 2016 - 2022 and analyzed using structural equation modeling. The results illustrate that TAM has been able to explain the factors that predict the use of e-learning among users on the Edtech Startup platform in supporting the learning process. Then there is a significant relationship between facilitating condition variables with ease of use and perceived benefits. In addition, the results of this study illustrate a significant relationship between the core components TAM framework and will enrich the academic literature in understanding the conditions of learning platforms in the EdTech sector to support the needs of skills and competencies in the future.
Sales Prediction at Malco Fashion using the Least Square Approach (Case Study: Malco Fashion Store) Putri, Novi Sentia; Saputra, Herman; Dermawan, Ari
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.v13i2.4018

Abstract

Increasing and changing customer demand every day requires companies to be more detailed in planning strategies to increase sales every day, characterized by the need to produce relevant reports, every company must have the ability to do this. However, so far the bookkeeping of sales of goods at Malco Fashion Store still uses a manual system that is written in a ledger. Malco Fashion shop owners cannot know the amount of goods to be provided for the next period. Therefore, the utilization of a sales forecasting system will greatly assist the store in processing data and transactions regarding sales. Because with the data related to the sale of goods from the previous period, it can conclude or predict the sales volume in the coming period. Therefore, the utilization of a sales forecasting system will greatly assist stores in data processing and transactions regarding sales. Because with the data related to the sale of goods from the previous period can conclude or predict the sales volume in the coming period. Accurate predictions in the sale of goods can be achieved using the least squares method or Least Square method based on historical data on sales of goods for the last few months. This method was chosen because it is the most commonly used method to determine the similarity of data trends. With the Least Square Method at Malco Fashion store can help in forecasting sales of goods in the next period accurately and quickly so that business owners can predict stock of goods to minimize shortages of goods and reduce excess stock of goods
Comparison of Multinomial Naïve Bayes and Bernoulli Naïve Bayes on Sentiment Analysis of Kurikulum Merdeka with Query Expansion Ranking Yusran, Muhammad; Siswanto, Siswanto; Islamiyati, Anna
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.v13i1.3187

Abstract

Social media is one of the public services for conveying or obtaining news, opinions and comments on an issue. One of the social media that is in great demand by the people of Indonesia is Twitter. Kurikulum merdeka is one of the most discussed issues currently on Twitter. Kurikulum merdeka is a curriculum that incorporates varied intra-curricular learning with more optimal content to provide students adequate time to investigate ideas and build expertise. Until now, kurikulum merdeka still reaps the pros and cons. To process and analyze further regarding opinions on the kurikulum merdeka, it can be done using sentiment analysis. The high dimension of features in the classification process becoming a problem in sentiment analysis because it causes classification to be inefficient, so feature selection is needed to solve this problem. The purpose of this study was to obtain the results of the classification of kurikulum merdeka sentiments using the multinomial naïve bayes and bernoulli naïve Bayes, as well as query expansion rankings for feature selection and to compare the performance of the two classifications. Multinomial naïve bayes classification produces 106 tweets with positive sentiment and 164 tweets with negative sentiment with accuracy, recall, precision and f-measure respectively 98.889%, 98.131%, 99.057% and 98.591%, while bernoulli naïve bayes produces 95 tweets with positive sentiment and 175 tweets with negative sentiment with accuracy, recall, precision, and f-measure respectively 94.815%, 87.850%, 98.947% and 93.069% respectively. Therefore, multinomial naïve bayes classifies the kurikulum merdeka sentiment better than bernoulli naïve bayes.

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