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Sistemasi: Jurnal Sistem Informasi

stmsi
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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 392 Documents

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Analysis of the Effect of DTPB on User Intention to Keep Using the Flip Application Adilah Purnamasari; Fiqi Pranastara; Iftina Salya Rosa; Dwiza Riana; Sri Hadianti
Sistemasi: Jurnal Sistem Informasi Vol 11, No 1 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Many Community needs have to be supported by the novelty of the technology. It makes more and more developers innovate in making an application. One form of technological novelty is digital payment applications. Currently, there are many digital payment applications in Indonesia, one of them is Flip. id application. To compete with other digital payment applications, Flip needs to be constantly developed. Therefore, the main purpose of this research is to find out how much the level of user acceptance of the application and what factors can affect the user's intention to continue using the Flip application in the long term. This user intention analysis will be carried out using the Decomposed Theory of Planned Behavior method, which will then be tested using the SmartPLS software. Based on the research results, it is known that the attitude variable and perceived behavioral control influence the intention to use or the user's intention to continue using the Flip application in the long term. The attitude variable itself is supported by other variables such as perceived ease of use, perceived usefulness, and playfulness, while the perceived behavioral control variable is supported by the resource facilitating condition, self-efficacy, and technology facilitating condition variables. Other variables that do not affect the intention to use variables include compatibility, subject norm, superior's influence, and peer influence variables.

Design Thinking Problems in Determining Solution for Creative Gift Orders M. Azman Maricar; Dian Pramana; Edwar Edwar
Sistemasi: Jurnal Sistem Informasi Vol 11, No 1 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Selda Design has a business selling custom merchandise or creative gifts that use social media and Whatsapp to serve customers. During its implementation, it was tiring because you have to repeatedly send detailed product information to each customer. The owner wants to develop his digital-based business. Therefore it is necessary to research to find out how the response of the admin team who handles orders from customers, and customers as product orders to the solutions provided. The design thinking method is used to provide solutions that can overcome the problems at hand. Design thinking has two processes, namely, problem space and solution space. This research focuses on problem space design thinking which includes the stages of empathy, defines, and ideate. From these stages, a solution is generated in the form of a wireframe. To determine whether the given wireframe can solve the problem, the wireframe is made in two variations. These were tested directly to the user with the A/B Testing method. The results of the wireframe test for the owner and admin team are 100% choosing version A, because of efficiency, data management, and menu selection. Wireframe intended for customers has obtained results, 77.78% chose version A, and 22.22% chose version B. Version A was chosen because of its efficiency, ease of use, and ease of access to the menu provided. Based on these results, it was determined that the wireframe version A for each user would be used as the next stage of product development. From these results, problem space design thinking can answer the problems faced by providing solutions for users.

The Effect of Bot Accounts on Community Toward Online Loans on Twitter Ahmad Ikhsan; Farrel Arrizal; Angelica Cintya Mannuela Wibowo; Nur Aini Rakhmawati
Sistemasi: Jurnal Sistem Informasi Vol 11, No 1 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

The massive advancement of technology is supported by the convenience and ease of transacting carried by fintech applicators, especially for the online loan (pinjol) experience is getting easier. However, the ease of it raises issues of unrest in the community, many complaints that arise such as unnatural bills, how debt collectors charge at the time of maturity, and the issue of sharing the borrower's personal data to the public. Another concern of the existence of online loans is the clarity of their legality, there are still many online loan applicators that are not registered with the Financial Services Authority (OJK). It leads to a negative attitude. The purpose of this study is to find out public sentiment towards the existence of online loans through social media Twitter. The study also wanted to find out if there were significant sentiment differences when bot accounts were in the dataset. Researchers obtained 941 lines of twitter data by not separating bot accounts. If the bot account is separated, the data becomes 432 data. After a deeper analysis, it was found that the tendency of sentiment towards online loans in the community was negative with a value of 45.6%. After separating the bot account from the dataset, the negative sentiment still dominated from the existing sentiment to 54.2%. So that it can be drawn another conclusion that the existence and absence of bot accounts in the dataset only gives a small influence on other sentiments, bot accounts do not change the initial conclusion that said public sentiment towards the existence of online loans tends to lead to negative attitudes.

Analysis of the Platform E-Learning Utilization on DSS05 Domain Using the COBIT 5 Framework at Private Universities in Riau Archipelago Ummul Afifah
Sistemasi: Jurnal Sistem Informasi Vol 11, No 1 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Most of the private universities in Kepulauan Riau have used the E-Learning system. The increasing use of E-learning has been felt since the COVID 19 Pandemic. Until now there has never been a measurement of the use of E-Learning in Private Universities in Kepulauan Riau using the COBIT 5 Framework. This research was conducted to determine the level of capability of the use of E-Learning in Private Universities in Kepulauan Riau. The focus of this research is on the DSS05 process (Managing Service Security). The results of this study indicate that the level of capability in the DSS05 process reaches level 3, namely the Established Process. The improvement strategy given is the need for improvement in periodic testing of E-Learning and the availability of standard documents related to procedures for regulating the receipt, use, transfer, and disposal of sensitive documents in E-Learning.

Implementation of Fuzzy C-Means to Determine Student Satisfaction Levels in Online Learning Nurdin S.Kom., M.Kom (SCOPUS ID=ID: 57201646662); Uci Mutiara Putri Nasution; Hafizh Al-Kautsar Aidilof; Bustami Bustami
Sistemasi: Jurnal Sistem Informasi Vol 11, No 1 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Online learning is the best solution during the COVID-19 pandemic, causing a difference in the learning process that lecturers usually do face-to-face with students. Changes in the learning process are expected to be implemented effectively and efficiently. The purpose of this study is to determine how the level of student satisfaction in online learning and produce a system that can cluster the level of student satisfaction using the Fuzzy C-Means method. The variables used in this study have 3 parameters, namely the teaching and learning process, lecturer competence, facilities, and infrastructure. The stages carried out in this study were collecting questionnaire data filled out by 500 students of Informatics Engineering, Malikussaleh University, the data obtained was processed based on the average student answers. Based on the data that has been obtained will form 2 clusters, namely satisfied and dissatisfied in online learning using the Fuzzy C-Means method. The results of clustering of 500 data obtained that 303 students felt "satisfied" and as many as 197 students felt "not satisfied" in the online learning carried out, for cluster 1 (satisfied students) with an average value of the teaching and learning process 7,389, lecturer competence 7,863 and facilities and infrastructure 7,8883. Cluster 2 (students are not satisfied) with the average value of teaching and learning process 4,466, lecturer competence 5,069, and the value of facilities and infrastructure 5,424. The contribution of this research is to help the manager of the Department of Information Engineering, Malikussaleh University to evaluate and improve the online learning process.

Determining Travel Time and Fastest Route Using Dijkstra Algorithm and Google Map Suardinata Suardinata; Rusdisal Rusmi; Muhammad Amrin Lubis
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Dijkstra's algorithm is commonly used to determine the shortest route connecting a point as a starting node to another which acts as the end node. In this study, the UNP student dormitory acted as the starting node, while the library which is frequently visited by students was sampled from the campus as the end node. Due to the fact that students generally live around campus and move on foot, an alternative route is needed to determine the fastest travel time. Therefore, this study aims to determine the route with the fastest travel time from the start to the end of nodes using the Dijkstra algorithm, in comparison with the route displayed by Google Map. Data were obtained from Google Map, which showed the availability of many routes with the possibility of students taking the fastest travel time. The result showed that the fastest route using the Dijkstra algorithm and Google Map were 14 and 3 alternatives at 15 and 21 minutes intervals. Based on these data, it is concluded that the travel time through the fastest route obtained using the Dijkstra algorithm was 6 minutes faster than data found in the Google Map.

Finding Customer Patterns Using FP-Growth Algorithm for Product Design Layout Decision Support Erna Haerani; Christina Juliane
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

The transaction database contains a very large and irregular dataset that requires another mechanism to read it, even though there is a lot of new knowledge that can be revealed, including associations or relationships between goods or products that are often purchased by customers. The new finding of the relationship between these variables is usually called association rule mining. The algorithm that is developing and often used is frequent pattern-growth (FP-Growth). The problem of very many transaction databases also occurred in Mr. A. So, in this research, we will look for customer patterns using the FP-Growth algorithm. The algorithm aims to find the maximum frequent itemset. The frequent itemset will be generated into associative rules so that it becomes valuable new knowledge. This knowledge can be used as a reference and consideration in making decisions. The FP-Growth algorithm will be implemented using the rapidminer tools on the transaction data of Mr.A's goods sales. The pattern of rules that will be searched for is based on data on sales of goods transactions. The results of the study obtained six association rules with five conclusions being the gift category. So that the suggestion for decision making is to lay out items close to and around the gift category in order to improve marketing and service strategies in order to attract the attention and interest of pointers in making purchases of goods.

Effect of Finger Print Mechanisms, Procedures, and Targets on Discipline of Vocational High School Students Ade Suryadi; Hamdun Sulaiman; Riswandi Ishak; Cep Adiwihardja; Diah Ayu Ambarsari
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Discipline is an important factor in educating vocational high school students to achieve life goals. One indication of student discipline is attendance to take part in learning activities at school. To get graduates who have a high discipline attitude so that later they can be applied in the real world of work. In this study, several variables were used, namely the finger print mechanism, finger print procedure, finger print achievement targets and student discipline. The data collection method used a questionnaire with a sample of 50 people who were taken randomly at 3 vocational high schools. This study aims to determine how much influence the variable finger print mechanism, finger print procedure and attendance achievement targets on student discipline. student discipline. This is evidenced by (t = 3.374, 2.093) > (table = 1.66515) and P Value (Sig) = 0.000 < 0.05 while the finger print mechanism variable has no positive and insignificant effect (t = 0.226 < 1.66515) and (Sig) = 882 > 0.05.

Smart Office System Based Internet of Things Sirojul Hadi; Kurniawan Aji Pangestu
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

A smart office system is a complex system. The system consists of software and hardware that are interconnected with existing equipment in the office. With the Internet of Things (IoT) technology, it can facilitate the smart office system in the process of data communication through the internet network. The research was conducted at PT. Media Facilities Data Area NTB. The company is an internet service company headquartered in the Denpasar, Bali regional office. The company has a complaint about the lack of facilities to monitor and control facilities located in area offices throughout the province of West Nusa Tenggara (NTB). The complaint occurs because the service area is growing, there will be more branch offices in the area to accommodate the teams and services in each branch so that it will be increasingly difficult to monitor and control each of these offices. The method used in designing the smart office system is the research and development (R&D) method. Smart office system aims to make it easier to monitor and control equipment and assets in the office. The result of this research is that the design and implementation of the smart office system have been successfully built. The system can facilitate the HRGA (Human Resource and General Affairs) department in managing and monitoring employees, internet networks and office facilities. The system design that has been built has been successfully tested with a success rate of 100% RFID card reading, 90% control over office facilities, and 80% attendance data.

Comparative Analysis of Data Mining Classification Algorithm Performance for Searching Prospective Student Interests Budiman Budiman; Zatin Niqotaini
Sistemasi: Jurnal Sistem Informasi Vol 11, No 2 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Admission of new students is an activity that’s always carried out by every university in the new academic year. The decline in the number of registrants every year is an obstacle for AMIK HASS in new student admissions, efforts are needed to process the existing data on new student admissions. Data mining applications use classification algorithms that aim to make predictions. The algorithms used are Nave Bayes (NB), Decision Tree J48 (J48), K-Nearest Neighbor (K-NN), Random Forest (RF), and Support Vector Machine (SVM). Algorithm testing to analyze the performance of each algorithm uses WEKA. The data set used in this study is the search for potential and interest of prospective new students as many as 5,934 records. The tests carried out on the five algorithms use the test percentage split mode, which is 70% for training data and 30% for test data. The highest accuracy rate on J48 is 90.34% followed by RF at 89.04%, SVM at 88.43%, K-NN at 87.53%, NB at 87.25%. J48 is the best algorithm for testing data sets with the lowest prediction error rate of 0.26. The J48 classification algorithm has explicit rules for the classification and handling of heterogeneous data by having 255 rules.

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