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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 40 Documents
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Search results for , issue "Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi" : 40 Documents clear
Analysis of School Life Expectancy Prediction in North Sumatra using the ARIMA Method for the 2024-2025 Period Sudewo, Egi Dio Bagus; Biddinika, Muhammad Kunta; Dahlan, Khoirul Anam; Prayitno, Kintung; Kariyamin, Kariyamin
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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.v13i6.4611

Abstract

This study analyzes the projection of the School Life Expectancy (HLS) in 33 districts/cities in North Sumatra Province using the ARIMA method. Historical HLS data from 2019 to 2023 were used to forecast the HLS values for 2024 and 2025. The prediction results show an increase in HLS in most regions, with several districts/cities such as Labuhan Batu, Pematangsiantar City, and Padangsidempuan City experiencing significant growth. However, some regions like Mandailing Natal and Samosir show a more stable trend without significant increases. These findings indicate disparities in access and quality of education across various regions in North Sumatra. Overall, the ARIMA model provides a positive forecast for future HLS improvements, though regional disparities require special attention from relevant authorities to promote equal access to education.
Comparison of Naive Bayes and SVM Algorithms for Sentiment Analysis of PUBG Mobile on Google Play Store Sari, Putri Ratna; Indah, Dwi Rosa; Rasywir, Errissya; firdaus, Mgs Afriyan; Athalina, Ghita
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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.v13i6.4814

Abstract

PlayerUnknown's Battlegrounds (PUBG) Mobile is one of the most popular mobile games in Indonesia, according to data from the Google Play Store. According to the Google Play Store, the game has a rating of 3.8 with 49.5 million reviews. While a considerable number of users express satisfaction, a significant proportion of reviews also contain criticism regarding the gameplay and features. However, a cursory examination of reviews may not fully capture the nuances of user sentiment, necessitating a more comprehensive sentiment analysis. This research will employ a positive and negative sentiment analysis of Indonesian PUBG Mobile reviews on the Google Play Store, utilizing a comparative approach to evaluate the performance of two algorithms: Naïve Bayes and Support Vector Machine (SVM). The data set comprised 2,000 user reviews, which were collected using a scraping technique. Following this, a labeling process was conducted based on the rating, data were preprocessed, TF-IDF weighting was applied, and both algorithms were implemented. The findings indicated that users expressed satisfaction with the game's visuals and gameplay. However, there were also technical concerns that required attention, including bugs, server instability, lag, and performance issues. The SVM algorithm demonstrated superior performance, with an accuracy rate of 70.95%, compared to Naïve Bayes, which reached 69.83%. Despite Naïve Bayes's faster processing speed, SVM exhibited greater precision, recall, and F1-score
Sentiment Analysis of Banking Application Reviews on Google Play Store using Support Vector Machine Algorithm Prasetyo, Martinus Juan; Agastya, I Made Artha
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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.v13i6.4536

Abstract

Banking applications are increasingly important in facilitating daily financial transactions. However, to ensure service quality, developers need to understand user feedback. Reviews on the Google Play Store provide important insights related to satisfaction, complaints, and suggestions. Therefore, this study aims to develop the Sentiment Analysis Model for Banking Application Reviews Using Support Vector Machine (SVM). Data collected from three popular banks in Indonesia is used to train and test models. This research also contributes to providing multi -bank dataset which can be a benchmark. Various scenarios of the distribution of training and test data are explored, and repeated tests are carried out with different random state values to get stable results. The results showed that the SVM model was able to achieve good accuracy, with BRI Mobile dataset reaching the highest accuracy of 92.97%, followed by a combined dataset of 90.05%, BCA Mobile 89.73%, and Livin Mandiri 87.46%. Negative reviews are dominated by technical complaints, while positive reviews highlight the ease and reliability of the application. This study shows that the approach used has succeeded in producing competitive performance, and application developers are advised to focus on improving technical aspects, such as fixing login, verification, and transaction problems, in order to increase user satisfaction.
Knowledge Management System to Increase Sharing of Knowledge of Creative Economy Products Hidayah, Debby Ummul; Kusuma, Tyas Pratama Puja; Nurhayati, Septi; Rachmandha, Fajri Aulia; Fadilah, Astriditiya Laila Nur
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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.v13i6.4681

Abstract

One of the PKK programs, namely the development of cooperative life, is a program that aims to advance cooperatives so that they can improve the economy in a village. One of the activities included in the program is creative economic activities through information technology. With the hope of being able to produce creative economic products that have added economic value. In order to manage knowledge in an organization, an appropriate mechanism is needed so that organizational goals can be achieved. The application of a knowledge management system can be a useful tool in managing knowledge for organizations. In this study, researchers focused on the problem of knowledge management in the PKK of Pamijen Village. The research problem lies in the management of knowledge of creative economic products which is considered still not optimal. Therefore, the implementation of a knowledge management system can be an appropriate solution, especially in managing knowledge about creative economic products. The system that is built later can provide convenience such as access to information, be able to capture and store knowledge, and share knowledge about creative economic products. The purpose of this study is to apply information technology in the form of a knowledge management system as a medium for sharing knowledge about creative economic products in order to achieve the cooperative life development program. The research method applied refers to the knowledge management system development life cycle (KMSLC) which has structured stages. This research produces a knowledge management system that can be accessed via the link address http://www.kms-pkkpamijen.com.
Exploring the Contribution of Fintech to Digital Transformation in Indonesian MSMEs: A Literature Review Febriyani, Widia; Supratman, Nurdinintya Athari; Witjaksono, R.Wahjoe
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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.v13i6.4638

Abstract

In the digital era, Financial Technology (Fintech) has become a pivotal force in transforming business operations, particularly for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. Despite their significant contributions to the economy, MSMEs need help in adopting digital solutions, including limited access to financial services and technological integration. This study explores the role of Fintech in driving the digital transformation of MSMEs and examines its contributions to financial inclusion, operational efficiency, and market expansion. Through a systematic literature review, the study highlights key factors influencing Fintech adoption, such as digital literacy, regulatory support, and technological infrastructure. The research also discusses the potential of Fintech to support the Satu Data Indonesia initiative by integrating financial and operational data. However, barriers such as low digital literacy, complex regulations, and cybersecurity concerns persist. The findings provide valuable insights for policymakers and practitioners to develop effective strategies for supporting MSMEs in leveraging Fintech for sustainable growth and competitiveness.
Aspect-Based Sentiment Analysis using Adaptive Aspect on Tourist Reviews in Jakarta Setyawan, Ade Rifqy; Suadaa, Lya Hulliyatus; Yuniarto, Budi
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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.v13i6.4585

Abstract

Tourism is one of the business fields affected by the Covid-19 pandemic. The decline in the number of tourists, both domestic and foreign, has resulted in the contribution of the tourism business sector to Indonesia's GDP decreasing. The government is now preparing plans to restore and improve tourism in tourist destination areas, one of which is DKI Jakarta in order to increase visits by domestic and foreign tourists. In achieving these goals, this study propose to utilize reviews about tourist attractions in DKI Jakarta from Google Maps and extract public opinion by conducting aspect-based sentiment analysis. Multi-label classification is a common method that is often used in aspect-based sentiment analysis. However, the multi-label approach has limited flexibility in the aspects used. One alternative method that can be used is an adaptive aspect classification method which is more flexible if there are additional new aspects used. This research aims to automate sentiment classification of tourist reviews for each aspect by developing an aspect level sentiment analysis model with an adaptive aspect classification method which will be compared with multi-label classification as a baseline method. The models used in both methods are transfer learning IndoBERT. The adaptive aspect classification method with aspect level sentiment analysis has better performance in comparison to baseline method multi-label classification with accuracy values and F1-score respectively 0.90394 and 0.71504.
A Recommendation System for University Discussion Committees Mundher, Zaid; Ahmad, Manar Talat
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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.v13i6.4726

Abstract

One of the topics that have emerged and gained popularity in recent years, due to the extensive availability of data, is recommendation systems. The concept of recommendation systems is based on saving users' time and effort while using the Internet for browsing, shopping, or other web activities. On the other hand, one of the routine tasks that is consistently performed in the academic community is the selection of committees’ members for the defense of master's thesis or doctoral dissertations. These committees are responsible for evaluating the graduate students’ work and assessment of the academic and research efforts. In general, naming discussion committees' members is one of the challenges that used to be solved manually. In this work, a recommendation system was built to propose a discussion committee’s members at Computer Science department in University of Mosul based on a dataset that includes the committees that were previously named. Two methods were introduced, developed, and tested based on content-based recommendation system techniques and cluster-based recommendation system techniques.
Implementation of the Support Vector Machine (SVM) Algorithm on Sentiment Analysis of Public Opinion on The Prohibition of the use of Syrupy Drugs for Kidney Health Purnomo, Galih; Rumini, Rumini; Susanto, Tri
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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.v13i6.4444

Abstract

In 2022, the Indonesian Ministry of Health reported several cases of pediatric acute renal failure (GGAPA), which resulted in a mortality rate of 59%, mainly among children aged between 1-5 years. The main causes were identified by Health Minister Budi Gunadi Sadikin as the three solvents ethylene glycol (EG), diethylene glycol (DEG), and ethylene glycol butyl ether (EGBE). In response, the government implemented restrictions on the consumption of these condensed substances, which led to mixed public reactions observed in the YouTube comments section. The purpose of this study is to evaluate public opinions on the syrup ban for kidney health. The comments will be classified using the Support Vector Machine (SVM) method, and the most effective kernel among linear, sigmoid, polynomial, and RBF will be identified. Data was collected through web scraping with 5000 initial data, and after preprocessing, 4794 data were processed. The analysis results show that the linear kernel has the highest accuracy of 75.63%, followed by the sigmoid kernel 75.29%, RBF 74.79%, and polynomial 71.09%. While the K-Fold Cross Validation test with a value of k = 10, produced a value of 74.64% for the linear kernel. This research concludes that the Support Vector Machine (SVM) algorithm with a linear kernel achieves the highest accuracy in sentiment analysis.
Designing Incident Management Standard Operating Procedures at XYZ Hospital based on the ITIL V3 Framework Putri, Syachla Malikha; Mukaromah, Siti; Pratama, Arista
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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.v13i6.4666

Abstract

Minister of Health Regulation No.82 of 2013 stipulates that every hospital must implement SIMRS, based on this regulation, XYZ Hospital implements information technology in the form of SIMRS. XYZ Hospital provides an SOP for the Hospital Management Information System (SIMRS) that guides the Management Information Systems Unit in managing SIMRS issues or incidents. However, the current SOP is not yet aligned with the best practices in ITIL, not all reports related to SIMRS incidents are recorded, which leads to inaccuracies in the information received by the parties involved in handling the SIMRS incidents. Therefore, this research was created to design an incident management SOP document based on the ITIL V3 framework because it includes detailed activities regulating how to handle IT service incidents properly. GAP analysis method was used to map the current conditions of the incident SIMRS management process to ideal conditions according to ITIL V3. The results of this research are an incident management SOP document accompanied by supporting documents in proper forms that make it easier to carry out activities in the SOP. The design of an incident management SOP by the ITIL framework can serve as a reference, improve performance, and provide convenience for the functional units of XYZ Hospital in handling SIMRS issues more systematically and aligned with best practices in IT service management.
Application of Customer Relationship Management in the Customer Service System of Junaida Furniture Shop Kisaran Nurdiyanti, Eni; Irianto, Irianto; Dewi, Muthia
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (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

Abstract

One industry that is experiencing the impact of these dynamics is the furniture sales industry. Furniture stores, including Junaida Furniture Stores, also face challenges in leveraging technology to improve customer service and optimize their business performance. Even though Junaida Furniture Store has been established since 2021 and offers a variety of household furniture, the ordering process which is still limited to direct visits to the store is an obstacle in increasing sales and retaining loyal customers. In the midst of increasingly fierce competition in the furniture industry, it is important for Junaida Furniture Store to look for solutions that can make it superior and sustainable. Therefore, the proposed solution is to implement Customer Relationship Management (CRM). By utilizing technology to collect and analyze customer data, Junaida Furniture Store can provide more relevant and personalized services. This will increase customer satisfaction and strengthen the bond between store and customer. In the context of increasingly tight business competition, Junaida Furniture Store's competitive advantage will become increasingly visible through quality service and close relationships with customers

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