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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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Survey of IT Governance Influence on Digital Transformation and Bank Organization Performance Nurul Afifah; Rahmat Mulyana; Lukman Abdurrahman
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.2179

Abstract

The disruption of emerging technologies, startups, changes in stakeholders' behavior, and the COVID-19 pandemic acceleration have forced many companies to perform a digital transformation (DT). However, the facts show many related investment failures because of poor governance practices. Previous research has proven that IT governance (ITG) has a significant role in improving organizational performance. Unfortunately, few studies still show the ITG mechanisms, structures, processes, and relational influence on successful DT. Recent research has found the hybrid ITG influence on DT, but not their relationship to organizational performance. Therefore, we hypothesized the traditional and agile/adaptive ITG mechanisms influence DT and organizational performance. The survey method was used by distributing a questionnaire to the organization's three lines of defense, from the top-level and IT managers (planners, architects, developers, operations, services, security, and quality assurance) to risk managers and internal auditors. The model was analyzed using Structural Equation Modeling assisted by SmartPLS. Bank B was chosen because the banking industry is greatly affected in the digital era along with the rise of fintech. The results showed a significant correlation between agile/adaptive and traditional ITG mechanisms on DT and a positive impact on organizational performance. This manuscript contributes to researchers exploring the ITG mechanism details for successful DT and practitioners to implement them in related industries.
Proposed Business Continuity Plan Information Technology using ISO 22301 And ISO 27031 Ari Cahaya Puspitaningrum
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.1990

Abstract

Majority of organizations have a high dependence on the role of information technology (IT). IT has a very important role for a business, so IT implementation needs to be protected from various threats and disruptions to avoiding IT failures and the occurrence of IT risks that will poor impact to business activities of the organization. To ensure the sustainability of the business, an organization needs to have a business continuity planning (BCP) document. BCP is a complete set of procedures to respond to the disruption of business operations effectively and efficiently, so that business can continue continuously. During all this time, not many organizations have awareness to the importance of good BCP implementation. It is caused by the lack knowledge how to design BCP document with comprehensive, included business impact analysis and prioritize critical business processes. Organizations without BCP implementation, would potentially loss profit, because they did not have any preparation in case of disaster related to information technology which has crusial role in business organizations. This indicated that BCP is important to be implemented throughout the organization for business to continue continuously as it reduces the negative impact of business interruptions. The output of this research is the proposed BCP in the oil and gas industry using ISO 22301:2012, ISO 27031:2011 references related to business continuity in information technology, and previous research on BCP elements.
Comparison of Bagging and Adaboost Methods on C4.5 Algorithm for Stroke Prediction Nur Diana Saputri; Khalid Khalid; Dwi Rolliawati
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.1684

Abstract

Stroke is a non-communicable disease and is very dangerous because of functional disorders of the brain caused by blockage of blood circulation. This disease is classified as a cerebrovascular disease because it requires treatment for 24 hours, if not treated quickly it can cause death. The purpose of this research is to overcome this problem is to create a machine learning-based prediction model for medical experts in dealing with diseases to help reduce the risk of death. The method applied for this research is to apply the C4.5 algorithm classification method as well as the bagging and Adaboost methods from Ensemble Learning. Stroke data is processed using 2 stages of data processing, namely the data cleaning stage and the data transformation stage. In this study, a comparison will be made between the C4.5 algorithm, the bagging method + the C4.5 algorithm and the Adaboost method + the C4.5 algorithm using the confusion matrix, k-fold cross validation and validation test based on the values of TP, TN, FP, FN, recall, precision, F1-Score and accuracy. The results of the classification test using the Confusion Matrix and k-fold cross validation for the C4.5 algorithm resulted in an accuracy of 92.87%. Then the accuracy of the C4.5 algorithm with the bagging method increased to 95.02% and when combined with the Adaboost method the accuracy value also increased to 94.63%. From these results, it can be said that a single classifier algorithm, namely the C4.5 algorithm with the bagging and Adaboost methods, has been proven to improve classification performance.
Classification using the C4.5 Algorithm in Predicting Students Organizational Status Amikom University Yogyakarta Neni Firda Wardani Tan; Kusnawi Kusnawi
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.2054

Abstract

Participation in an organization as a college student is an important way to self-improvement. This research analyzes students' learning in an organization and whether the student is active or not active in an organization using the Decision Tree C4.5 algorithm. Attributes analyzed were out-of-campus organization, previous organization experience, public speaking, problem-solving, confidence level, and personality. From a question from propagating on October 2021, the researcher collect 203 raw data, with 167 processes ones that were used in this research. The test conducted results in a tree or the decision tree that could be used to decide how active a student is in an organization. The accuracy value of this test using cross-validation resulted in a score of 59.27% or in comparison to the data training: data testing of 4:1 or 80%: 20%.
Evaluation of Usability Quality Between InDriver and Maxim Applications Using Usability Scale (SUS) and Usability Testing Methods Janet Livia Tuwanakotta; Andeka Rocky Tanaamah
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.2001

Abstract

Indriver application and Maxim application are international companies engaged in Information Technology where the company provides a platform that brings drivers and customers together quickly. Both applications come from Russia. These two applications are growing rapidly so they have been downloaded more than 5 million times through the Google Play store. Although it has been downloaded more than 5 million times, some users complain about the two applications. From some of the user feedback, the InDriver application and Maxim application still have problems that occur in their users. This problem is part of the usability problems that exist in both applications. So it is necessary to dig into a more comprehensive problem to explore the problems that occur in both applications. You also need to know the level of usability of these two applications. The level of usability needs to be known to explain the usability of these two applications is already at which level from the user side. This study provides an evaluation to determine the usability problems and the level of usability that exist in both applications using the System Usability Scale (SUS) and Usability Testing methods. The results of this study indicate that the features of the Maxim application are still not accepted by users seen from the sus questionnaire score of 48.3 and on the rating scale including the F rating with a smaller score of 51 so that it can be concluded that the Maxim application is not included in the acceptable category but not acceptable and the InDriver application has a SUS score of 51.25. On the rating scale, the InDriver application is included in the F rating so it can be concluded that the InDriver application is not included in the acceptable category but the low category.
Identification of Barangan Banana Ripeness Treatment Types using k-Nearest Neighbor Abdullah Abdullah; Rendi Azrian
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.2281

Abstract

Bananas are favored by the public because bananas are rich in nutrients that our bodies need. One of the bananas that people are interested in is the Barangan. Bananas sold in the market have various types of ripeness that vary based on their treatment. This study aimed to identify the type of treatment for Barangan. Identification is carried out based on an analysis of the image of Barangan using color and texture features. The k-Nearest Neighbor (k-NN) method is used in the identification. The k-NN compares the similarity between the unknown data and the sample data. The k values used in this study are k=1, k=3, and k=5. The Euclidean Distance is used to measure the distance between 2 feature vectors. The classification test uses the holdout method, where the percentage of the amount of sample data and test data is 66.67% of training data and 33.33% of test data. The accuracy obtained at k=1 is 86.67%, at k=3 is 76.67%, and at k=5 is 80%. The best accuracy for identifying banana ripeness treatment types using the k-Nearest Neighbor method is obtained at k = 1, with accuracy reaching 86.67%.
Gold Price Prediction Based on Gold.org Data Using the Long Short Term Memory Method Vincentius Riandaru Prasetyo; Stefan Axel; Juan Timothy Soebroto; David Sugiarto; Septian Ardi Winatan; Senradel Daniel Njudang
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.1999

Abstract

Gold is one form of precious metal with priceless value in this day and age. Therefore, many people are starting to invest in gold. Someone who wants to invest in gold must pay attention to changes in gold's buying and selling price. One site that can be used as a reference to see changes in the price of buying and selling gold is gold.org. Several factors influence gold price changes, namely changes in the value of the US Dollar exchange rate, the amount of world gold production, and the increase in demand for gold itself. This means that the price of gold tends to be unstable because of frequent changes. The LSTM or Long Short Term Memory method can be implemented to predict gold prices based on previous gold prices. The prediction model built in this study predicts gold price in the future based on 60 last gold price data. Based on the results of accuracy measure, an accuracy of 87.84% was obtained with the value of the difference between the original price and the prediction of 5 and the number of epochs being 100.
Process Mining Dwelling Time at the Container Port using the Alpha Miner Method Rivalno Firmansyah; Herdy Riyaldy; Bambang Jokonowo
SISTEMASI Vol 11, No 3 (2022): 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.v11i3.1501

Abstract

The problem of measuring the dwelling time of the container logistics process at ports in developing countries is often a major problem. Therefore, process mining as a field of data science that focuses on analyzing event log data is used to perform business process analysis. In process mining, the process is a sequence of events or activities that are carried out to achieve certain goals. Event logs help an organization to find gaps between the designed business processes and the reality of the processes that occur. In this study PM4PY as a python library is used to perform process mining techniques. The results of the fitness calculation in this study indicate that the container logistics business process model is close to 0.99.
The Combination of R&D and MDLC Models in WEB-Based Interactive Learning Media Ullya Mega Wahyuni; Jefril Rahmadoni; Afriyanti Dwi Kartika; Hafizah Hanim
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.2085

Abstract

The Technopreneur is a core course offered in semester IV (four) in the Information Systems department, Faculty of Information Technology, Unand. Based on observations, the learning process using the lecture method via video conference makes students more inclined to be subordinated. At the same time, the lecturer position tends to appear as a one-man show. The problems make students more-passive and weak in the creative power. To attract students' interest in learning, it is necessary to develop interactive learning media. This research aims to produce a WEB-based interactive learning media with a combination of R&D and MDLC model. Learning media is designed based result course learning process on the previous semester and user needs. Based on the results of system functionality testing, it shows 100% of the features are functioning properly. While testing user satisfaction on multimedia elements from 20 respondents with the Mean Opinion Score (MOS) scheme was obtained at 4.11, which means the learning media is quite good. For interactive elements, it gets a score of 4.31, which means it is included in the category ready to be applied in the Technopreneur class.
The Analysis of Online Worship Services Acceptance using the UTAUT 2 Method and Clustering k-Means Gilang Jonathan Phita; Yessica Nataliani
Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): 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.v11i3.2020

Abstract

The characteristics and background of the church congregation and the acceptance of technology in online worship services were one of the parameter to determine user attitudes or behavior in accepting technology. The objective of this research to is to find out the acceptance of church congregation's technology toward the online worship services using the Unified Theory of Acceptance and Use of The Technology 2 (UTAUT 2), and answers of respondents from various backgrounds and ages were grouped using k-Means clustering. Data were collected through a questionnaire with a total of 220 respondents. From the UTAUT 2 method using multiple linear regression, it was found that the Habit variable on the use of online worship has a high influence toward the Behavioral Intention variable, and the Habit variable on the use of online worship has a high influence toward the Use Behavior variable. Furthermore, clustering with k-Means was carried out to see the age group that was satisfied with online worship services, based on four clusters obtained using the Elbow method and six age groups. The results of the k-Means clustering of all UTAUT 2 variables, the age group 12-16 years and 26-35 years are the most satisfied group and accept online worship services.

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