Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

Sistemasi: Jurnal Sistem Informasi

stmsi
Website

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

32 33 34 35 36

Acceptance of e-Learning Applications at Indonesian Universities Using the Extended Technology Acceptance Model Mohammad Al Hafidz
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

The emergence of the COVID-19 pandemic in Indonesia has an impact on the implementation of distance learning (e-learning) in Indonesian universities. However, the adoption of LMS technology as an e-learning medium in Indonesia has many obstacles, ranging from internet access, content, to users. This study was made to determine the perception of acceptance of the use of e-learning applications using the Extended Technology Acceptance Model (TAM). This research can be used as a strategy for implementing e-learning in higher education so that it can be accepted by students and then students really intend to use it. The respondents of this study were UHW Perbanas students with a sampling technique of 100 students spread over almost all study programs. The research data is primary data with the technique of collecting it using a questionnaire. Data analysis techniques with SmartPLS application tools. The results of research processing showed that all instruments were declared valid and reliable. The results of the hypothesis test indicate that the perceived usefulness of e-learning applications is significantly influenced positively by the characteristics of the lecturers and the quality of the content. Students' perception of ease of using e-learning applications is significantly influenced positively by content design and accessibility of e-learning.

E-Learning Moodle Usability Evaluation Using the SUS Questionnaire in Higher Education Ria Andriani; Ahmad Sa'di
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

The COVID-19 pandemic has had a huge impact on all sectors, from health, economy, social, religious to education. A very real impact in the world of education is the policy of the central and local governments to carry out online teaching and learning processes for all educational institutions from kindergartens to universities to break the chain of the spread of covid 19. So that all universities are required to be able to take advantage of various information technologies available has been very developed, one of which is E-Learning, E-Learning is a form of technological development that can be used for electronic-based teaching and learning processes through the internet network. As an effort to realize the campus trend in information technology, ABC University developed an educational platform in the campus environment by maximizing the use of information technology called WASKITA which functions as a support for teaching and learning activities at universities. This study aims to evaluate e-learning to determine the quality of the applications that have been implemented using the System Usability Scale (SUS) questionnaire. The number of respondents in this study were 34 respondents. The evaluation is done by giving tasks according to the features that exist in Waskita so that it can be known what factors must be improved then conducting interviews with users in this case lecturers at ABC College to be able to process any recommendations that will be given to the manager. The results of the usability measurement of E-Learning Moodle accessed at (Waskita.amikom.ac.id) show the average SUS score is 50 which means that the acceptance rate of this E-Learning is at Marginal Low then the adjective value indicates Poor with a grade scale at level E. Users think that Moodle E-Learning is still complicated to use, causing users to consider using E-Learning especially on mobile applications.

Package Tracking Information System Enterprise Architecture Modeling Using TOGAF ADM Izdihar Abhista Ramadhani; Yupie Kusumawati
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

PT. Pos Indonesia engaged in the logistics of sending letters and goods which has its head office in Bandung and has 11 regional offices spread throughout Indonesia, one of them is Semarang. The main function of the Semarang Postal Processing Center is as a post processing office which has a central point in Semarang to connect each region. Such as Delivery Centers (DC) Demak, Mranggen, Tugu, Erlangga, Banyumanik, and others, so they must go through the Semarang Post Processing Center first before being forwarded to the recipient or destination office. In supporting the business process, the Indonesian Post Office already has a package tracking system that can be accessed on the Pos Indonesia website so that consumers do not have to go to the nearest Post Office. The package tracking system aims as a system that can facilitate consumers in tracking packages. The problem in the package tracking system is that it is less accurate and efficient in tracking because it can't track packages on maps and consumers don't get automatic notification notifications when the package will be delivered and the package will arrive soon. In dealing with this, the author proposes to make improvements to the business process by designing an Enterprise Architecture (EA) package tracking system using the TOGAF ADM method, with research results in the form of an IT blueprint as a guideline to accelerate employee performance, improve services to consumers and be able to provide changes. business processes effectively.

Sentiment Analysis of Covid-19 Vaccination on Twitter Using Classification Algorithms based on PSO Fuji Astuti; Resi Taufan
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Twitter social media is widely used by internet users to provide opinions on an event. In 2021, the opinion about the Covid-19 vaccination was widely discussed by the Indonesian people on social media. Togetherness of opinion can be categorized as positive sentiment and negative sentiment. To categorize negative and positive sentiments, data mining processes can be used. This study discusses the sentiment of Covid-19 vaccination using classification. Data from Twitter is collected in a crawling process, then labeled into two classes, namely positive and negative sentiments. After labeling (polarity) the next stage is data preprocessing which consists of transform case, annotation removal, tokenizing and stemming. The classification algorithm used is Naïve Bayes (NB) and Support Vector Machine (SVM) and then compared with the classification algorithm using Particle Swarm Optimization (PSO). Tests were carried out using k-Fold Cross Validation to obtain accuracy values, Confusion Matrix tables and Area Under Curve. The test results on the classification using PSO are better than those without using PSO. The results of the accuracy of the NB and SVM algorithms are 64.04% and 72.55%, while the accuracy results after PSO on the SVM and NB algorithms are 70.43% and 76.38%, respectively.

Relevance Analysis of Systems Analysis and Design Courses With System Analyst Skill Needs Diah Rahmawati; Monita Rahayu; Ega Safitrah
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Entering the era of the industrial revolution 4.0, there is an increasing need for digital workers. However, based on available data, Indonesia's digital talent is still very lacking and there is a mismatch between the supply of labor and the needs of the industry which has led to an increase in the unemployment rate in Indonesia. This gap must be a concern of educational institutions, especially universities, to provide educational designs that are in accordance with industry needs. Systems analysis and design courses play an important role in the development of digital skills, especially for the System Analyst profession which is much needed at this time. Based on the various skills needed by the company for System Analysts, the relevance of the curriculum analysis and system design courses used in universities in Indonesia will be reviewed. This study uses content analysis methods to analyze information based on system analyst job advertisements and course lesson plans (RPS) for systems analysis and design courses. The data testing method is carried out using a correlation test which shows that there is no relationship between the analysis and system design courses with the needs of systems analyst skills in the industry today. With the Cartesian diagram, it is known that there are two skill categories that need to be prioritized for improvement in the learning plan for the system analysis and design course, namely testing (SIT and UAT) and basic programming.

Implementation of RESTful Web Service on Indonesian’s Integrated Breastfeeding Donor Information System Badieah Badieah; Ahmad Mujib; Muna Yastuti Madrah; Andi Riansyah; Nur Muhammad Syaifuddin
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

The golden period is a term used to describe the importance of the first 1000 days of human life. Nutritional intake in children at this time becomes very important because malnutrition in this period will cause disturbances in child development. To prevent this risk, the intake of breast milk is necessary for babies at least in the first 6 months of life. However, there are many internal and external factors that can affect a baby not being able to receive it. One solution that commonly used to share breast milk amongst mothers. A mother can share breast milk directly through personal relations or through human milk bank agencies. The implication of the problem of sharing human milk in Muslim societies is the occurrence of kinship relationship between the child and his milk mother that change the status of mahram and the prohibition of marriage between breast milk children and biological children of the donor because the two children's status changed to breast milk siblings. Referring to these conditions, we designed an integrated information system prototype by integrating breast milk donor data obtained from human milk banks throughout Indonesia. Interoperability problems during data integration process are overcome by implementing a RESTful API as a web service. The output of this information system is the issuance of milk-kinship certificates given to donors and recipients as evidence of donors as well as become a token that there is a mahram bond between donors and recipients. A milk-kinship certificate can prevent marriage between milk-kinship siblings, especially in Muslim communities.

Evaluation of User Satisfaction in Electronic Service Manuscripts (TNDE) Using PIECES Framework Analysis Reza Hikmatulloh; Qurrotul Aini; Muhammad Qumarul Huda; Evy Nurmiati; Nida’ul Hasanati
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Official documents as a result of the Ministry of Public Works and Public Housing (PUPR) of the activities are increasing in quantity, therefore, to handle this needs to be backed up with a capable administrative system, namely: a computerized system to be more efficient and effective in managing official documents that called the System Electronic Service Manuscripts (TNDE) at the Ministry of PUPR. However, many users when accessing the TNDE system, often experience problems. The average user has experienced slow processing (loading) when the system is being accessed. The problem usually lies in the server network that does not respond, hence it interferes with the running of the system. The authors investigate user satisfaction on TNDE system using the PIECES framework to 74 respondents. The results of the analysis state that the average value in the Performance domain is 3.82, Information and data is 3.93, Economic is 4.18, Control and Security is 3.49, Efficiency is 4.09, and Services is at a score of 3.9. This indicates that the user is satisfied in using TNDE system.

Classification Algorithm for Link Prediction Based on Generated Features of Local Similarity-Based Method Siti Apryanti Koni’ah; Herman Yuliansyah
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

A social network is a social structure that consists consisting of nodes, edges, or links and describes activity on a social media platform. Later, link prediction is a technique to predict new relationships for future networks based on information explored from the current network topology. Several local similarity-based methods use topological information to predict the link. However, these methods have different performances and depend on the network topology. This study proposes using classification algorithms of machine learning to predict future links. The classification algorithms compared are k-Nearest Neighbors (KNN), Naive Bayes, Decision Tree, and Random Forest by comparing six social network datasets with features generated from local similarity-based methods. This research was conducted in three stages: preprocessing, classification comparison, and performance evaluation. The findings of this study are that the Random Forest algorithm outperforms for testing accuracy, precision, and F1-Score. However, in the recall test results, Random Forest only outperformed other benchmark algorithms in the four datasets: soc-karate, soc-dolphin, soc-highschool M, and Soc-sparrowlyon-flock-season 03. Meanwhile, in the datasets soc-tribes and soc-aves-weaver-social-05, the Decision Tree algorithm outperformed other benchmark algorithms.

Decision Support System For Selection Of Student Competition Supervisor at Dinamika University Herwanda Ayu Destania; Rochmat Rizky Alfandy; Muhammad Wahyudi; Julianto Lemantara
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Every university in Indonesia has the right to take part in any competition from Directorate General of Learning and Student Affairs (Belmawa) by sending several teams consisting of students and supervisors. After doing observations, there were 83% of 35 students who took part in Belmawa competition at Dinamika University had difficulty in choosing a supervisor. The causes students choose a supervisor at random. When the students conducting guidance does not match the profile of the selected supervisor and the guidance results are not optimal. Therefore, this study aims to produce an Decision Support System (DSS) for determining the best supervisor of Belmawa competition using Analytical Hierarchy Process (AHP) and Graphic Rating Scale (GRS) methods to improve quality in choosing the supervisor for Belmawa competition. In its application, AHP was used to generate local priority from each criterion and GRS was used for ranking of each lecturer and then 4 lecturers with the highest score were selected. The results showed DSS could assist students in selecting prospective supervisors according to the existing criteria, namely: the supervisor's last education level, the number of publications from supervisor, the type of supervisor's expertise, the number of teams that asked for guidance, and the number of belmawa competitions, which has been achieved by students under the guidance of supervisor. This was evidenced by the decrease in the difficulty of selecting Belmawa supervisors at Dinamika University from 83% to 5.71%

Feature Extraction With Forest Classifer To Predicate Covid 19 Based On Thorax X-Ray Results Ali Mustopa; Hendri Mahmud Nawawi; Sarifah Agustiani; Siti Khotimatul Wildah
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Coronavirus 19 (COVID-19) is a highly contagious infection caused by the acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 is a new virus for which no cure has been found, marked by the increasing death rate worldwide. Coronavirus disease which can cause pneumonia which attacks the air sacs of the lungs with symptoms of dry cough, sore throat to acute respiratory distress (ARDS) that occurs in COVID-19 patients. One of the ways to detect the virus is by detecting chest X-rays in the patient. Over the past decade's mechine learning technology has developed rapidly and is integrated into CAD systems to provide accurate accuracy. This research was conducted by detecting thoracic radiographs using feature extraction Hu-Moments, Harralic and Histogram and detecting the best accuracy with a classification algorithm to detect the results of COVID-19. The study was conducted by testing the dataset obtained from the Kaggle repository which has images, namely 1281 X-rays of COVID-19, 3270 X-rays Normal, 1656 X-rays of pneumonia, and X-rays of bacteria-pneumonia 3001. In general, this research is included in the Good category because it produces the highest accuracy by the Random forest classification algorithm where the accuracy result is 84% and the standard deviation is 0.015847. In addition, the research also produced Kappa of 0.713. The results of this accuracy are carried out in several stages, namely by feature extraction in the form of hu-moments, Harralic and histogram. In this study, the best results were given by the Random forest algorithm with feature extraction Histogram and Hu-Moment.

Page 34 of 102 | Total Record : 1011

32 33 34 35 36

Filter by Year

2013 2026

Filter By Issues

All Issue Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi Vol 15, No 1 (2026): Sistemasi: Jurnal Sistem Informasi Vol 14, No 6 (2025): Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (2025): Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi Vol 12, No 2 (2023): Sistemasi: Jurnal Sistem Informasi Vol 12, No 1 (2023): Sistemasi: Jurnal Sistem Informasi Vol 11, No 3 (2022): Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi Vol 11, No 1 (2022): Sistemasi: Jurnal Sistem Informasi Vol 10, No 3 (2021): Sistemasi: Jurnal Sistem Informasi Vol 10, No 2 (2021): Sistemasi: Jurnal Sistem Informasi Vol 10, No 1 (2021): Sistemasi: Jurnal Sistem Informasi Vol 9, No 3 (2020): Sistemasi: Jurnal Sistem Informasi Vol 9, No 2 (2020): Sistemasi: Jurnal Sistem Informasi Vol 9, No 1 (2020): Sistemasi: Jurnal Sistem Informasi Vol 8, No 3 (2019): Sistemasi: Jurnal Sistem Informasi Vol 8, No 2 (2019): Sistemasi: Jurnal Sistem Informasi Vol 8, No 1 (2019): Sistemasi Vol 8, No 1 (2019): Sistemasi: Jurnal Sistem Informasi Vol 7, No 3 (2018): Sistemasi: Jurnal Sistem Informasi Vol 7, No 2 (2018): Sistemasi: Jurnal Sistem Informasi Vol 7, No 2 (2018): SISTEMASI Vol 7, No 1 (2018): Sistemasi: Jurnal Sistem Informasi Vol 6, No 3 (2017): Sistemasi: Jurnal Sistem Informasi Vol 6, No 2 (2017): Sistemasi: Jurnal Sistem Informasi Vol 6, No 1 (2017): Sistemasi: Jurnal Sistem Informasi Vol 5, No 3 (2016): Sistemasi: Jurnal Sistem Informasi Vol 5, No 2 (2016): Sistemasi: Jurnal Sistem Informasi Vol 5, No 2 (2016): sistemasi Vol 5, No 1 (2016): Sistemasi: Jurnal Sistem Informasi Vol 4, No 3 (2015): Sistemasi: Jurnal Sistem Informasi Vol 4, No 2 (2015): Sistemasi: Jurnal Sistem Informasi Vol 4, No 1 (2015): Sistemasi: Jurnal Sistem Informasi Vol 3, No 4 (2014): SISTEMASI: Jurnal Sistem Informasi Vol 3, No 3 (2014): Sistemasi: Jurnal Sistem Informasi Vol 3, No 2 (2014): Sistemasi: Jurnal Sistem Informasi Vol 3, No 1 (2014): Sistemasi: Jurnal Sistem Informasi Vol 2, No 4 (2013): Sistemasi: Jurnal Sistem Informasi Vol 2, No 3 (2013): Sistemasi: Jurnal Sistem Informasi Vol 2, No 2 (2013): Sistemasi:Jurnal Sistem Informasi Vol 2, No 1 (2013): Sistemasi: Jurnal Sistem Informasi More Issue

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kab. indragiri hilir,

Riau

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email -

Phone -

Journal Mail Official -

Editorial Address -

Location Kab. indragiri hilir, Riau INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kab. indragiri hilir,

Riau

INDONESIA