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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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Clustering Earthquake Event Points in the Southeast Asia Region using Agglomerative Hierarchical Clustering Arifin, Adi
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.v12i3.3150

Abstract

Earthquake is an inevitable and highly dangerous natural disaster due to its sudden and uncontrollable occurrence. Earthquakes frequently happen in the Southeast Asia region, resulting in infrastructure damage, loss of life, and economic disruption. Therefore, efforts should be made to mitigate earthquake risks, including the classification of earthquake data in the Southeast Asia region. The data used in this study were obtained from The Seismological Facility for the Advancement of Geoscience (SAGE), a facility funded by NSF and operated by the Incorporated Research Institutions for Seismology (IRIS). The study employed Agglomerative Hierarchical Clustering (AHC) to group the data into multiple clusters. The validity of the formed clusters was assessed using Silhouette Score Index (SSI), Davies Doublin Index (DBI), and Calinski Harabasz Index (CHI). The study involved two clustering processes, resulting in three clusters for the first clustering process aimed at creating new attributes, namely Area, and three clusters for the second clustering process aimed at identifying the types of earthquakes in the Southeast Asia region. These three formed clusters had SSI, DBI, and CHI values of 0.434353, 0.887791, and 3769.030146, respectively, indicating that AHC successfully classified the earthquake data. The findings of this research serve as a reference for further studies such as earthquake prediction and contribute to disaster mitigation strategies to enhance preparedness for future events.
Perfume Sales Application using the Economic Order Quantity (EOQ) Method Syafriani, Dini; Suendri, Suendri
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.v13i2.3929

Abstract

Computer systems are currently needed by many companies. The stock of goods owned by the company also needs to be considered. Maju Jaya Parfum in its sales can be higher or lower depending on the request of each seller, as a result, several difficulties and errors arise in recording reports on purchases and inventory of goods. Therefore, inventory management is very necessary to avoid circumstances that are detrimental to the company which can cause considerable expenses for the company. System development in this study uses the Waterfall model and the research method used is the R&D method, then the algorithm used is Economic Order Quantity (EOQ). The results showed that the existence of this system can display the ordering process, transactions of incoming goods and outgoing goods digitally instead of manually and be able to help Maju jaya perfume in overcoming the amount of perfume stock needed to be more effective and efficient.
Comparison Methods of Machine Learning and Deep Learning to Forecast The GDP of Indonesia Subian, Alwan Rahmana; Mulkan, Drajat Ali; Ahmady, Haidar Hilmy; Kartiasih, Fitri
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.v13i1.3445

Abstract

The success of an economy can bring significant benefits to a country and its society. One way to measure economic growth is by looking at the value of gross domestic product (GDP). The value of a country's GDP is influenced by many factors, including inflation, exports, and imports. Therefore, predicting future economic growth requires forecasting the value of GDP. GDP forecasts are crucial as they provide information about the economic development of a country over a specific period of time. By forecasting GDP, governments and investors can make informed decisions to optimize profits or minimize risks when investing or doing business in a country. This research aims to forecast Indonesia's GDP for the second, third, and fourth quarters of 2023 using the best models from machine learning or deep learning methods. Forecasts are made for each method with and without additional variables. The results indicate that the SimpleRNN algorithm from deep learning without additional variables is the method with the smallest RMSE and MAPE for GDP forecasting. Therefore, the best method used to forecast GDP is the SimpleRNN algorithm, and the forecasted GDP values for Indonesia's second, third, and fourth quarters are 5.350.840,00, 5.483.895,00, and 5.610.077,50 billion rupiah.
Analysis of Changes in Learning Patterns Before and During the Covid-19 Pandemic using Descriptive Statistical Methods Ningrum, Yulika Pramesti; Hadiono, Kristophorus
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.v12i3.2938

Abstract

In early 2020, the world was faced with the Covid-19 pandemic. The biggest impact of the pandemic was felt by the education sector, which prompted the government to develop an online learning program. This online learning will certainly affect student learning patterns. This study aims to determine changes in learning patterns that occurred before and during the Covid-19 pandemic. This research involved students of Stikubank University Semarang, Faculty of Information Technology and Industry class of 2019. The data obtained was analyzed statistically descriptive quantitatively including calculations of mean, median, standard deviation, validity tests, reliability tests, and graphs using R language. Based on the results of validity tests and reliability test, all indicators are valid and reliable. The results of the descriptive analysis of the indicator tests show that learning patterns decreased between before and during the Covid-19 pandemic. The indicator for planning learning activities has changed to the sub-indicator bringing reference books. The indicators for participating in learning activities also changed in the sub-indicator present before lectures. The indicators for making schedules and study notes also underwent changes in the sub-indicators for making notes/summaries of material which decreased significantly. The indicator for taking the exam also experienced a change in the sub-indicator for studying with friends. While the learning evaluation indicators also experienced changes in the sub-indicators working on practice questions.
Implementation of the K-Means Algorithm in Sales Clustering at a Company using the KDD Methodology Rochmawati, Milla; Bagaskara, Ganes Wisnu Cahya; Adha, Ismail Adhiya; Umaidah, Yuyun; Voutama, Apriade
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.v13i1.3074

Abstract

This research aims to implement K-Means algorithm in sales clustering at PT Sila Tirta Gemilang using Knowledge Discovery in Databases (KDD) methodology. PT Sila Tirta Gemilang is a company operating in the bottled drinking water industry sector. This research was conducted using a KDD approach that involves collecting historical sales data and has the main objective of improving the company's understanding of their product sales patterns. K-Means Clustering algorithm is used to classify products based on similar sales characteristics. In the K-Means method, the optimal cluster center point is determined to group products with comparable sales performance. By applying clustering using K-Means algorithm and KDD method, clustering of water types that are in significant demand at PT Sila Tirta Gemilang was conducted. As a result, three clusters were found, each containing water types with different characteristics. Cluster 0 has 1 water type with a high level of interest, while Cluster 1 has 3 water types with a low level of interest. Finally, Cluster 2 consists of 2 water types with a medium level of interest. From the results that have been obtained, companies can take more appropriate steps to increase profits and optimize their sales performance.
Adiland Property Website Design and KPR Management Using the Requirement Prototyping Method Setyoadi, Eddy Triswanto; Wirapraja, Alexander; Prakoso, Muhammad Adi
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.v12i3.2731

Abstract

The property business is always in great demand and is discussed by every class of society, that's what makes all business people vying to improve their property business, one of which is by utilizing technology so that it can make it easier for businesses to develop where companies can use technology as a tool. when making a property reservation. In this research, a website-based information system was created that helps Adiland Property Company in improving services in its business. The system created consists of a property booking system and mortgage data processing. The existence of a mortgage data processing system can make it easier for companies to manage mortgage data by customers in an integrated manner, besides that with an online ordering system it can also make it easier for customers to make orders where there are several choices of online payment methods. In making the system, the software development method was used using the requirements prototyping method, while testing this application, two methods have been used, namely blackbox testing. In blackbox testing, testing is carried out by trying all the existing inputs on the system whether they are as expected by giving a questionnaire to each existing user, namely the customer, property agent admin, in-house mortgage manager. The results obtained are a website that can be used by Adiland Property to reach a wider market and ease in making property purchase transactions.
IT Governance Information System Audit Analysis using COBIT 4.1 Framework by measuring Maturity Level Nurfadhiilah, Annisa; Faharuddin, Fadhli; Jumaryadi, Yuwan
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.v13i2.2825

Abstract

Appropriate Information Technology governance is needed to measure Information Technology involvement. The Information Technology governance used in analyzing audits is the COBIT 4.1 framework, so that analyzing audits can be carried out in accordance with the standard provisions that have been established in this work framework. This research utilizes qualitative methods in the data collection process at PT. Expressindo System Network. Based on the results of the research conducted, it is known that the DS domain as a whole is at level 3, this means that the company is at the stage where it can carry out the procedures that have been determined. Apart from the DS domain, domains PO02, PO03, PO04, PO05, PO06, PO07, PO08, AI01, AI02, AI04, AI05, AI06, AI07, and ME01 are at maturity level 3. However, domains PO10, AI03, ME04 are at level 2 of the maturity level, where the company still needs to carry out training and development. The results of this research will determine the maturity level of the company and provide an evaluation in accordance with the COBIT 4.1 framework standards.
Fuzzy Mamdani for Equality of Employee Salary Fakharudin, Panji Rangga Adzan Fajar; Avianto, Donny
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.v13i1.3621

Abstract

Every job in a coffee shop has a salary. Salary is a form of recognition or imbalance for the results achieved. Salary is often also called wages, which is an imbalance in the services provided regularly to employees. Fuzzy has several methods, one of which is Fuzzy Mamdani which is used to make inferences or take the best decision in a problem that has subtle values. In 1975, Ebrahim Mamdani proposed the Fuzzy Mamdani method. Fuzzy Mamdani is a method that uses linguistic rules and has a fuzzy algorithm so that it can be explained mathematically and is easy to understand. The input values for the criteria for length of work are 8, experience 8, and dependents 4. The output is based on Fuzzy Mamdani's calculations, the employee gets a salary of IDR 2.21 million. The results of this study research that the wage income offered by Warkop IN`DA to its employees is good and not far from the minimum wage of the coffee shop. This third variable has a big influence on the final calculation results. The system created is quite good because the MAE result is 0.567 and the MAPE result is 36.720%.
Implementation of Security and Monitoring System on Prototype Car based on Internet of Things (IoT) Anggielita, Renata; Salamah, Irma; Suroso, Suroso
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.v12i3.3267

Abstract

This Internet of Things (IoT)-based car security and monitoring system is implemented on a prototype car with a security system in the form of face identification, Global Positioning System (GPS), and Gas Sensor. The purpose of this research is to improve the security and safety of motorized vehicles, especially cars. This IoT-based car security system uses the prototype method, which is a system development technique that uses a prototype to describe the system so that users have a clear picture of the system to be built. From the results of testing face identification, gas sensors, and GPS show that the system can work according to the expected design. Based on the overall test results this system works quite well to improve vehicle security. therefore, this car security and monitoring system has a positive effect on making vehicle owners feel safe.
Usability Testing of ITTS MART v2.0 through Customer Satisfaction Index (CSI) Measurement using the E-SERVQUAL Model Zunaidi, Rizqa Amelia; Yulianita, Ika; Putra, Perdana Suteja; Mardhiana, Hawwin
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.v13i1.3511

Abstract

The current advancement in information technology brings convenience to users, especially in accessing the internet, including through mobile devices like smartphones. The rapid growth in internet usage, particularly via mobile devices, is driven by the popularity of social media applications as virtual social interaction platforms. In addition to being a means of social interaction, social media also serves as a promotional platform, including for online shopping applications, contributing to the increase in online shopping transactions in Indonesia. At the Telkom University Institute of Technology in Surabaya, hydroponic and aquaponic activities have seen significant development and have reached the stage of product harvesting. Therefore, a platform is needed to market these products. The decision has been made to utilize an online grocery shopping platform, primarily through a mobile application, to enable consumers to make purchases anytime and anywhere they are. The online grocery shopping platform being developed by ITTelkom Surabaya is known as ITTS MART. Currently, ITTS MART is still in the prototype development stage and requires usability testing by measuring the Customer Satisfaction Index (CSI) using the e-SERVQUAL model. The results of this study indicate that the Customer Satisfaction Index (CSI) for the ITTS MART application service is 86.20%, signifying that users of the ITTS MART application are highly satisfied with its service. Although the CSI score for the ITTS MART application is already very good, users still express some dissatisfaction with variables such as system availability, privacy, and responsiveness. This is particularly noticeable in indicators like the frequency of application availability for business, obtaining permission before creating a personal account, safeguarding privacy, and accuracy of product descriptions within the application. Therefore, developers of the ITTS MART application should work on improving these aspects to enhance user satisfaction with the application.

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