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Jusikom: Jurnal Sistem Informasi Ilmu Komputer
Published by Universitas Prima Indonesia
ISSN : -     EISSN : 25802879     DOI : 10.34012
Core Subject : Science,
Decision Sciences, Operations Research & Management
This journal is about information systems and computer science.
Arjuna Subject : -
Articles 222 Documents
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IMPLEMENTATION OF FINITE STATE AUTOMATA ON THE DATE TO SEASON CONVERSION ENGINE BASED ON PRANATA MANGSA SEASON CALENDAR iboy, rahmat satria buana; Gata, Windu; Bayhaqy, Achmad; Sulaeman, Okky Robiana; Merlina, Nita
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2615

Abstract

The world is now starting the trend of going green or back to nature. The slogan goes green or back to nature can also be interpreted as living in harmony with nature. Our beloved country of Indonesia has implemented a harmonious life with nature, we can find it in the Javanese planting season calendar called Pranata Mangsa. In the pranata mangsa, we are taught the method of living in harmony, especially in an agricultural system. Harmony with nature means harmony between seasons, weather, living things, and types of plants. If everything is applied, there will be harmonization between all elements both from outside and inside so that additional elements such as chemical fertilizers and pesticides in agriculture, which essentially eliminate the harmonization of nature itself, are not needed. The implementation of Finite State Automata on the farming season calendar is expected to be able to educate and make it easier for farmers in particular and the Indonesian people, in general, to able to recognize the farming time and apply it to daily life. The final result of this research is the calendar system that can convert the date and month in the masehi calendar into the period or season of the pranata mangsa system. Key word : FSA, DFA, calendar, pranata mangsa, season
Implementation of Finite State Automata in Graphic Design Class Process Online Hakim, Valianda; Gata, Windu; Rahayu, Sri; Setiawan, Hendra; Novitasari, Hafifah Bella
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2617

Abstract

The development of technology is growing rapidly, the number of increasingly sophisticated inventions can also help humans in carrying out their activities, one of which is online classes, especially graphic design from various official organizers such as from coursera, udemy, and other organizers. Online graphic design classes are currently in great demand by the general public, especially at the school level, some have to pay a certain nominal, there are also free ones to access the class, besides that the classes offered are starting to vary, ranging from the beginner level to the advanced level also with certain software such as Adobe Photoshop, Figma, and other design applications and also with different systems, online or offline, graphic design is much needed, especially in the world of work such as printing, advertising and other fields. In this study, it was designed by using the FSA (Finite State Automata) method with the TYPE of NFA (Non-deterministic Finite Automata) to help students in the process of online graphic design classes starting from registration on the website to getting a class certificate so that students do not feel confused about what to do after registering, and is expected to make students understand in the process of online graphic design classes,  The results of using FSA with nfa type can help students to better understand the flow of the registration process for online graphic design classes, with the creation of an FSA with this type of NFA is also expected to help students in registering online to get a certificate because they have attended an online graphic design class.   Keywords : desain grafis, FSA, NFA, corel, adobe.
Technology Readiness Index (TRI) for Measurement of User Readiness in ERP Implementation in the Marketing Department Afiana, Fiby; Septiana, Lisma Nur; Khotimah, Khusnul
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2624

Abstract

Customer Relationship Management is part of the ERP System as one of the company's strategies to know and understand consumers as well as an approach that views consumers as the core of the company's business and success. PT. Selaras Hutama Mandiri (SHM) needs to analyze the readiness of Customer Relationship Management users with the aim of preventing failures during the implementation process which will have an impact on the company's business processes. By looking at the existing Human Resources, they are still unfamiliar with the use of technology, so it is feared that the technology to be adapted cannot be used by existing human resources. The method used is the Technology Readiness Index which refers to the tendency of users to adopt and use new technology in the work environment with the variables Optimism, Innovation, Discomfort and Insecurity. The results obtained that the independent variable that has an influence on the readiness of Customer Relationship Management users in operating or using Customer Relationship Management is the innovation variable with a value of sig .001 < from probability 0.05 and the t test has t count > t table, namely 5.916 < 2.365. Other independent variables Optimism, Discomfort and Insecurity did not affect users in operating or using Customer Relationship Management. Meanwhile, the independent variable simultaneously influences the dependent variable on the readiness of the Customer Relationship Management (Technology Readiness) users. So that the company' s concerns with the readiness and ability of employees to use technology can be overcome by an analysis using the Technology Readiness Index method that they are ready to use Customer Relationship Management. It is very important to analyze user readiness so that the technology applied to the company's business processes can be appropriate, meaning that technology implementation is not only a trend but in accordance with company needs. Keywords: ERP, CRM, TRI, User Readiness.
Comparison of Classification Algorithm in Predicting Stroke Disease Hutabarat, Fenna Kemala; Sitompul, Daniel Ryan Hamonangan; Sinurat, Stiven Hamonangan; Situmorang, Andreas; Ruben, Ruben; Ziegel, Dennis Jusuf; Indra, Evta
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2714

Abstract

ABSTRAK- To prevent stroke, we need a way to predict whether someone has had a stroke through medical parameters. With the influence of technology in the medical world, stroke can be predicted using the Data Science method, which starts with Data Acquisition, Data Cleaning, Exploratory Data Analysis, Preprocessing, and the last stage is Model Building. Based on the model that has been made, it is concluded that the algorithm with the best performance, in this case, is XGBoost with a precision value of 0.9, a recall value of 0.95, an f1 value of 0.92, and a ROC-AUC value of 0.978 after receiving five folds of cross-validation. With these results, the model created can be used to make predictions in real-time. Kata kunci : Machine Learning, Logistic Regression, Random Forest, XGBoost, Stroke
Implementation of Analytical Hierarchy Process (AHP) Method In Determining Expedition Services at the Market Place Purwanto, Heru; Ishak, Riswandi
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2744

Abstract

The delivery of goods is an important part, where the seller's efforts in sending the order package reach the consumer and become a satisfaction for consumers to be able to reason again.  Decision-making   is often faced with a number of confusing choices, especially in the selection of expedition services.  The selection of acquisition services is the main point in supporting business processes. The purpose of this study provides more important criteria for determining alternative expedition services.  This research used the Analytical Hierarchy Process (AHP) Method. Pairwise comparison questionnaires are given to obtain the degree of importance of the criteria. Price Criteria are the highest criteria in this study compared to location criteria, services and responses. Meanwhile, the response criteria that have sub criteria for claiming goods are more important than the sub criteria for ordering and tracking goods while the service criteria where in the sub criteria for losing goods are a  more important condition than damage to goods, speed of delivery criteria . These criteria are used to determine the best choice of expedition services so that from the calculation results of the three alternatives obtained the top ranking with a value of 0.546933. Keywords : AHP,  Expedition Services, Market Place
NAÏVE BAYES ALGORITHM OPTIMIZATION USING PARTICLE SWARM OPTIMIZATION (PSO) FOR COVID-19 VACCINE SENTIMENT ANALYSIS ON TWITTER Nugraha, Rivan Adi; Hermanto, Teguh Iman; Nugroho, Imam Ma’ruf
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2776

Abstract

The Covid-19 vaccine is a vaccine that is quite popular, because it is the most needed and most discussed vaccine. There are 5 types of vaccines that are very popular including AstraZeneca, Moderna, Pfizer, Sinopharm and Sinovac. Sentiment analysis is a branch of text classification with computational linguistics and natural language processing that refers to a broad field, and text mining has a function to analyze opinions, judgments, sentiments, attitudes, evaluations and emotions of a person regarding an individual, organization, certain topics, services and other activities. This study aims to classify public sentiment towards the type of Covid-19 vaccine on social media Twitter, whether the opinion is positive or negative by using the Naïve Bayes algorithm based on Particle Swarm Optimization (PSO). The conclusion of this study is that the results of testing the Naïve Bayes algorithm with PSO using RapidMiner software are 79.17% accuracy, 87.69% precision, 85.07% recall for AstraZeneca vaccine, 68.82% accuracy, 92.29% precision, 71.72% recall for Moderna vaccine, 67.54% accuracy, precision 77.83%, recall 62.95% for Pfizer vaccine, accuracy 93.33%, precision 91.67%, recall 100.00% for Sinopharm vaccine, and accuracy 74.93%, precision 82.61%, recall 70.90% for Sinovac vaccine. It can be concluded that with the help of optimization PSO, the resulting confusion matrix value is greater and is proven to be more accurate. Keywords : Vaccine; Covid-19; Sentiment Analysis; Naive Bayes; Particle Swarm Optimization.
Implementation of Design Thinking Methods in Information Systems Academic Guidance at the Information Systems Department Faculty of Computer Science Sriwijaya University Kelana, Nurullah Marina; Heroza, Rahmat Izwan; Juanta, Palma
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2797

Abstract

During their study period, one of the programs provided to students is academic guidance. Academic mentoring is an activity where students consult academic supervisors which aim to help students plan studies and solve study problems, one example is the academic mentoring program at the Information Systems Department, Faculty of Computer Science, Sriwijaya University. However, in practice there are problems experienced by students but they are not detected from the start because of the low monitoring of their academic supervisors which causes delays in graduation. This study aims to produce a prototype design of the Academic Guidance Information System so that it can be used as a platform for monitoring student guidance. The method used is the design thinking method which has 5 stages, namely empathize, define, ideate, prototype and test. At the ideate and prototype stages, the Fogg Behavior Model theory is used as a reference material. Evaluation of the prototype design results using the Maze Design usability tool. Testing uses two test methods, namely the Mission Usability Score (MIUS), Maze Usability Score (MAUS) and System Usability Score (SUS). The MIUS and MAUS tests got a score of 78 and entered the medium/marginal characteristics. The SUS calculation gets a score of 90.25 which leads to the acceptable category with a grade scale (A). The test results were carried out with 1 test iteration to 20 respondents and showed that the design had met the feasibility standard. Keywords : Information Systems, Academic Guidance, Design Thinking Methods, Fogg Behavior Model, Maze Design.
IMPLEMENTATION OF THE BEST EMPLOYEES SELECTION IN WANAPOTENSI GUNA (WPG) COMPANIES USING TOPSIS METHOD BASED ON WEBSITE Suseno, Beka; -, Suyanto
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2813

Abstract

The number of employees at PT. Wanapotensi Guna will make it difficult for companies to find the best employees, the aim is to improve employee performance to be better every year, the best employee selection is held. The problem that occurs in the process of selecting the best employees so far is that data processing is still manual so it takes a long time. Based on the problems above, the researcher provides a solution to make a decision support system for selecting the best employees using the Topsis method and the Waterfall development method and the programming language used is PHP. Results with DSS for selecting the best employees at PT. Wanapotensi Guna can also minimize the risk of losing employee data, making selection evaluation criteria. the best employees according to predetermined criteria,   Keywords :SPK,Best Employee, Topsis, Waterfall .Php.
PROTOTYPE OF AIR PURIFIER TO REDUCE AIR CONTAMINANTS AND ELIMINATE INSECTS BASED ON ESP32 AT UNIVERSITAS HARAPAN MEDAN Rivaldi, Rivaldi
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2819

Abstract

Lifestyles have undergone significant changes; people spend more time indoors, and poor air quality occurs not only outdoors but also potentially indoors. According to the EPA, indoor pollution is in the third position of environmental factors affecting human health. in order to meet the need for cleaner air than before, the existing air filtration system is an important thing to pay attention to. Handling the filtration method to deal with pollutants will be a long-term requirement. The problem studied in this study is how to build an air filtration system in a room that can work efficiently without having to replace the filter media such as a HEPA filter, the design of this tool does not use a HEPA filter in general but uses dew dispersion from a mist maker, this tool is designed to be able to capture air particles and combine them with particles of air. This tool is designed to be able to display the value of CO2 conductivity, temperature, and humidity through an application on an Android device and an LCD on an air purifier device.
Comparative Analysis of Indonesian Text Mining News Online Classification Using the K-Nearest Neighbor and Random Forest Algorithm Sihombing, Oloan; Sitorus, Sarah Tri Yosepha; Indra, Evta; Sinurat, Stiven Hamonangan; Juanta, Palma
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 6 No. 1 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i1.2824

Abstract

The rapid development of internet technology today makes many news media grow pretty rapidly. Newspaper companies have utilized internet technology to spread the latest news online through online mass media. Hundreds of thousands of stories are written and published daily on online-based Indonesian news portals, making it difficult for readers to find the news topics they want to read. In making it easier for readers to find the news they are looking for, news needs to be classified according to its respective categories, such as education, current news, finance, and sports. So to classify categories, a text classification method is needed or often called Text Mining. Text mining is a data mining classification technique for processing text using a computer to produce helpful text analysis. In this study, a comparison of 2 methods for developing texts was carried out to get accuracy above 80%.

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