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Sistemasi: Jurnal Sistem Informasi
ISSN : 23028149     EISSN : 25409719     DOI : -
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
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Articles 25 Documents
Search results for , issue "Vol 12, No 1 (2023): Sistemasi: Jurnal Sistem Informasi" : 25 Documents clear
Comparison of Logistic Regression and Random Forest using Correlation-based Feature Selection for Phishing Website Detection Farida Farida; Ali Mustopa
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.1832

Abstract

The world is currently experiencing mass developments in information technology, especially during the current pandemic, which requires all of us to learn and even work online. They are triggered much crime in the internet world. One of them is stealing internet user data through a fake website built like the original or called a phishing website. In this research , a classification model is needed to detect phishing websites using the best performance from one of the logistic regression and random forest classification algorithms to overcome the rise of phishing websites in cyberspace. Classification performance can be improved using the correlation-based feature selection (CFS) method to select the most influential attribute in detecting web phishing. Based on the test results, applying the logistic regression and random forest classification algorithm in the classification of web phishing resulted in an accuracy of 93.035% and 96.834%. After feature selection with CFS, the accuracy was 92.718% and 97.015%, respectively. On the Testing, There was an increase in accuracy in RandomForest by 0.181% and an insignificant decrease in logistic regression. The test results prove that feature selection with CFS can eliminate redundant attributes and the resulting classification algorithm accuracy is not much different when the details are complete and Random Forest has accuracy better than after using CSF.Keywords: website phishing, classification, logistic regression, random forest, correlation-based 
Comparison of Ensemble Learning Method: Random Forest, Support Vector Machine, AdaBoost for Classification Human Development Index (HDI) Ressa Isnaini Arumnisaa; Arie Wahyu Wijayanto
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.2501

Abstract

Classification in supervised learning is a way to find patterns in database that the classes are already known. In the classification of machine learning, there is a term called ensemble classifier. The workings of the ensemble classifier aimed to improve model accuracy and optimize classification performance. This study aims to analyze the comparison of algorithms that work with ensemble learning, including Random Forest, Support Vector Machine (SVM), and AdaBoost. The data used is the Human Development Index (HDI) of districts/cities in Indonesia. Other variables that are strongly related to human development are GRDP per capita, gross enrollment rate, net enrollment rate, labor force participation rate, unemployment rate, poverty rate, poverty depth, poverty severity, and average consumption per capita. The reason for using HDI is that apart from being an important macroeconomic variable in describing the condition of human resources in Indonesia, HDI already has an obvious classification according to the Badan Pusat Statistik (BPS) so that supervised learning can be applied. Comparison of model evaluation using accuracy, specificity, sensitivity, and kappa statistics. The analysis flow starts with data preprocessing, resampling and cross-validation, then modeling using the Random Forest, Support Vector Machine (SVM), and AdaBoost algorithm. The final stage is the model evaluation by comparing the best models in the classifications of districts/ cities according to HDI. The results showed that the Random Forest model had the best performance compared to the Support Vector Machine (SVM) and AdaBoost models with an accuracy value of 85,23%, specificity of 71,63%, sensitivity of 95,05%, and kappa coefficient of 0,7698. From this research, the an ensemble classifier can be developed to help classify scores on the Human Development Index in Indonesia.Keywords: AdaBoost, Random Forest, Support Vector Machine, Ensemble Learning, Human Development Index
Determinants of the Acceptance of Ambon City Local Government Information Systems using the Technology Acceptance Model Sherly Toding; Evi Maria (SCOPUS ID: 57093633500)
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.2312

Abstract

The research aims to find empirical evidence on the determinants of the acceptability of Ambon City regional apparatus on implementing the Regional Government Information System (SIPD) using the Technology Acceptance Model (TAM). The research sample is SIPD users in Ambon City, with a total sample of 90 respondents. This research data was collected from a questionnaire that was measured using a Likert scale. Data were analyzed using simple linear regression analysis. The research results found empirical evidence that the perceived convenience of SIPD users affected perceptions of SIPD use in Ambon City and attitudes towards using SIPD in Ambon City, and attitudes towards SIPD use had an effect on actual SIPD use in Ambon City. This research did not find evidence of an influence between perceptions of the usefulness of SIPD on attitudes towards using SIPD in Ambon City. It means that the Ambon City regional apparatus will use SIPD in supporting development planning and regional financial management work if the apparatus perceives that SIPD is easy to use. If the regional apparatus accepts SIPD, then the regional apparatus will use the SIPD to manage development activities in Ambon City. Therefore, the government of Ambon City can be more active in socializing SIPD and holding training programs for SIPD users so that local officials can use SIPD optimally to support planning and financial management work.Keywords:. local government information system, Technology Acceptance Model, acceptability of regional apparatus.
The use of the Excellence of Google Assistant for Smart Room Monitoring and Control Riska Rahma Ramadhani Nasution; Suroso Suroso; Eka Susanti
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.2118

Abstract

The development of technology in modern times is increasingly sophisticated, so as to create a tool that facilitates human work in operating these electronic goods. When you want to travel far and for a long time, there are often omissions due to forgetting to turn off electronic items such as lights and fans. This does not save the cost of electricity bills and is of course very detrimental. This research was conducted to create a utilization of the advantages of Google Assistant for monitoring and controlling smart rooms. The use of Google Assisstant is very easy if you want to control electronic devices at one time and especially at a very long distance. The electronic devices used in this study were headlights, RGB lights, rice cookers, humidifiers and DC fans. The results of this research can control the lights, rice cooker and humidifier remotely, the fan turns on at a predetermined speed according to the temperature in the room and there is a timer to turn the lights on and off automatically so that it greatly facilitates human work.
Implementation of JSON Parsing in Agricultural Productive Learning Applications Abdul Rahman Ismail; Ifriandi Labolo; Yuni Handayani
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.2673

Abstract

The learning process at SMK Negeri 1 Mootilango is still conventional, in other words that the teaching and learning process between students and teachers can only be carried out with the condition that there are meetings between students and teachers in the classroom. If a meeting between students and teachers does not occur or the teacher concerned is not present and learning time is limited by the school, then the learning process will automatically be hampered. One of the teaching methods that is currently developing is mobile learning. Mobile Learning can assist teachers in distributing their teaching materials without having to be in class by using the internet, this can maximize learning time in limited classes. In making software using the Waterfall method. The data collection method used in this research is literature study, observation and interviews or interviews with the topic to be taken. This application is designed using Java programming language software, namely Android Studio, for PHP and HTML programming languages using Sublime Lite software, and for data storage using MySQL, as well as tools for modeling using UML (Unified Modeling Language). Based on the results of the Whitebox test on one of the processes in this system, namely on the evaluation menu with balanced Cyclometic Complexity (CC) = 4 results, this system is stated to be able to run well. While the results of testing the Blackbox system can run as expected.
Sentiment Analysis of Jokowi’s Candidate Discourse in Three Periods using the Naïve Bayes Method Dita Nurmadewi; Mia Amaliah; Hajar Hanifah; Ulfa Bunayya Purwanti; Maruti Sekar Arum; Nanang Wijaya Kusuma; Sri Yuniati
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.2413

Abstract

Approaching the 2024 presidential election many discourses develop among the public regarding the presidential election period which takes place every five years. One of the most widely discussed political discourses is the candidacy of President Jokowi for the third term of his leadership. This study aims to carry out a sentiment analysis of the public on the discourse. The sample data for sentiment analysis is taken from Twitter social media in the form of tweet status. The stages carried out by the researchers began with determining the research method through text mining and sentiment analysis using the Naive Bayes algorithm. The results of the research conducted revealed that there are still many positive sentiments compared to negative sentiments related to the discourse of Jokowi's candidacy in the three periods. Keywords: Sentiment Analysis, Naive Bayes, Twitter, Jokowi.
Comparative Study of QoS on Video Meeting Tool Application in 4G LTE Network using Wireshark Sirmayanti Sirmayanti; Asriani Tain; Nurul Khaerani Hamzidah
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.2069

Abstract

Video meeting is a broadband internet-based service for long-distance communication, both visual and audio, in one room or in different rooms at the same time. Network testing using wireshark software connects to the Telkomsel operator's 4G LTE network. QoS parameters can display network quality such as throughput, packet loss, delay and jitter. The research experiment test used two conditions with different variables in the five types of video meeting tools being compared; zoho meeting, cisco webex meeting, google meet, zoom meeting and microsoft teams. First-condition uses random variables that do not consider the value of the number of participants and camera & microphone conditions to each client. Second-condition uses a fixed variable that the number of each client is 5 participants for each application (camera & microphone is on). The first-condition results showed that only Zoom Meeting which had a QoS value classified as Poor (index 1), especially the jitter value, compared to other applications. This application has an average jitter of 151,871 ms, that compared to TIPHON standard of 125 ms to 255 ms. The second-condition obtained Very Good QoS on throughput, packet loss and delay variables in all applications. Their variable jitter in each application is Zoho Meeting (0.101 ms), Cisco Webex meeting (0.074 ms), Google Meet (0.179 ms), Zoom meeting (0.021 ms), and Microsoft Teams (0.015 ms) which only in the standard 0 ms to/ d 75 ms. However, all applications according to the TIPHON standards are still in the Good category (index 3). The overall index average of all applications shows Good QoS.Keywords: video meeting,  wireshark, quality of service, 4G LTE.
Forecasting Coconut Production in Indragiri Hilir with Autoregressive Integrated Moving Average Model Hermiza Mardesci; Maryam Maryam; Khairul Ihwan
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.2531

Abstract

Indragiri Hilir is one of the districts in Riau Province which is the largest coconut producer in Indonesia. Based on statistical data, total coconut production in Indragiri Hilir was recorded at around 313,396 tons in 2021, but production has decreased from year to year. It is necessary to know the amount of future coconut production, so that a solution can be found so that coconut production in Indragiri Hilir can increase again. The purpose of this research is to find out the estimation or forecasting of coconut production for the next 5 years. This is useful to know the extent of the decline in coconut production during this time, so that a solution can be found. In this study, forecasting the amount of coconut production was carried out using the Autoregressive Integrated Moving Average (ARIMA) method. The Autoregressive Integrated Moving Average (ARIMA) is a model that completely ignores independent variables in making forecasts. Data analysis in this study uses the EViews application as a tool for forecasting. Based on the forecasting results that the amount of coconut production for the next 5 years (2022-2026) is decreasing. If this is allowed to continue, over time Indragiri Hilir will no longer be the largest coconut producer in Riau. The solution given is replanting of damaged and old crop land that needs to be improved. In this case, the government's role is needed in increasing plant replanting programs, especially in smallholder plantations.Keywords: forecasting, coconut, ARIMA, replanting.
Usability Testing on ITTS MART Prototype Rizqa Amelia Zunaidi; Adek Dhea Resmi Purbantari; Fidelia Adinda Syafani; Hawwin Mardhiana; Ahmad Ihsan Fuady
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.2389

Abstract

Information technology is currently growing very rapidly so that it can provide convenience to its users, one of which is the ease of accessing the internet, such as through cell phones. The rapid increase in internet users, especially through mobile phones, is caused by the hectic number of social media applications as virtual friendship applications. Apart from being a virtual friendship application, another benefit of social media is as a promotional media, one of which is the promotion of online shopping applications, so that the number of online shopping transactions in Indonesia also increases. Hydroponic and aquaponic activities at the Telkom Institute of Technology Surabaya are also developing and starting to enter the product harvest stage, so a platform is needed to sell these products. An online shopping platform was chosen, especially a mobile application, to sell ITTelkom Surabaya products so that consumers can shop anytime and anywhere. The online shopping application developed by ITtelkom Surabaya is called ITTS MART. Currently, ITTS MART is still in the prototype development stage and there is a need for usability testing using the WebQual Concept on the ITTS MART application. From the results of the study, it can be concluded that the six research variables, namely Trust, Informational Fit-To-Task, Web Appearance, Entertainment, Government Policy and Transaction Capability, show a significant difference between expectations and real experience or dissatisfaction when using the ITTS MART application. Only one variable that shows the value of the difference is not significant, namely Response Time, so it can be concluded that respondents are satisfied with the time to access the page on the ITTS MART application.Keywords: Usability, WebQual, Online Shopping, Application, Food Product.
Arduino-based Reverse Vending Machine Metal Medicine Packaging Exchange Rebeka Firsly Stephanie Harianja; Lili Rusdiana; Catharina Elmayantie
Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (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.v12i1.2185

Abstract

As technology develops, the use of vending machines also develops. In addition to purchasing food and drinks, it can also be used to exchange medicine packaging for coins. To simplify the exchange process to make it more practical and not to spend a lot of time, a reverse vending machine was built for drug packaging containing metal as input. Collecting data using the method of observation and literature study. This type of research is prototyping because the results obtained are in the form of a prototype. This prototype used 3 buttons in main  process. The first stage is pressing button 1 to detect metal, then pressing button 2 to weigh, and button 3 to release coins. The test results obtained from the Arduino-Based Reverse Vending Machine Metal Medicine Packaging Exchange indicate that the prototype is able to be used as a medium of exchange for drug packaging trash containing metal into a medium of exchange in  money form. The prototype is able to provide a solution for reducing or managing medical trash which contains metal.

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