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INDONESIA
Jurnal Informatika Global
Published by Universitas Indo Global Mandiri
ISSN : 2302500X     EISSN : 24773786     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of global informatics publish articles on architectures from various perspectives, covering both literary and fieldwork studies. The journal, serving as a forum for the study of informatics, system information, computer system, informatics management, supports focused studies of particular themes & interdisciplinary studies in relation to the subject. It has become a medium of exchange of ideas and research findings from various traditions of learning that have interacted in the scholarly manner as well become an effort to disseminate on computer research to the International community.
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Articles 264 Documents
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Analisis Perbandingan Finite State Automata (FSA) Dengan Breadth First Search (BFS) Terhadap Desain Sistem Aplikasi Screening Awal Karyawan Ahmad Ramadhan; Maria Yustina Tuga; Siti Aisyah Sri Rahayu N; Rismayani Rismayani
Jurnal Ilmiah Informatika Global Vol. 13 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i3.2690

Abstract

This study aims to achieve a business process needed by a company in implementing the company's vision and mission. Therefore, a selection process is needed to be used by the company as a criterion to meet company standards. So this research is based on the implementation of the initial screening of too many employees so that HRD work is hampered. Thus, this application is built using the BFS method. We tried to analyze the implementation of the employee recruitment screening algorithm by comparing the BFS and FSA methods. In addition to building an application using the BFS method, the author also built it using the FSA method to see which of these two methods is more accurate to use in the initial employee screening selection. So the method we are currently using is the Breadth-First Search (BFS) method because it can describe the process starting from the initial selection of employees by explaining the registration steps to the final process, namely decisions from predetermined screening results. So the expected result is creating an application to help HRD as an initial selection of employee recruitment. The results obtained in this study are between the Breadth-First Search Algorithm (BFS) and the Finite State Automata (FSA) method. Employee start.Keywords : Screening, Employee, Recruitment, FSA (Finite State Automata)
Pengembangan Sistem Informasi Rekomendasi Wisata Kotawaringin Timur Berbasis Web MenggunakanMetode Item-Based Collaborative Filtering Minarni Minarni; Sigit Sigit
Jurnal Ilmiah Informatika Global Vol. 13 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i3.2695

Abstract

Kotawaringin Timur Regency has many tourist objects and is rich in arts and culture spread in several sub-districts. Efforts to increase the promotion of KOTIM tourism continue to be carried out with the support of the application of technology, one of which is smart tourism. Prospective tourists tend to use internet technology to find information on tourist attractions they want to visit, rather than using the services of agents or travel agencies. Prospective tourists who want to visit East Kotawaringin need information and recommendations that are accurate, fast and economical. Recommendation systems have been widely used in the business world to help provide recommendations for various products. Therefore, a recommendation system is also used to generate tourist recommendations in East Kotawaringin using the Item-Based Collaborative Filtering method which utilizes rating data by visitors based on their travel experience. This system is in the form of a website where users can provide a rating for every tour in East Kotawaringin. Among the 35 tours in East Kotawaringin, as many as 7 tours are used in the recommendation system. These tours are Ujung Pandaran Beach, Red Kalap Gadur Waterfall, Jelawat Fish Tourism Icon, Balanga Roundabout, KOTIM Cultural Miniature Park, Satiruk Beach and Betang Tumbang Gagu. The result of the use of this recommendation system is the display of a tourist recommendation page that can be accessed by the user in the form of tours that have the highest rating equipped with detailed information on supporting tourism facilities.Keywords : Recommendation system, collaborative filtering method, tourism, East Kotawaringin 
Persepsi Dokter Klinik Dalam Menggunakan Rekam Medis Elektronik Berbasis Cloud Computing: Survei Penggunaan rekmed.com Emi Azmi Choironi; Lukman Heryawan
Jurnal Ilmiah Informatika Global Vol. 13 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i3.2691

Abstract

Background : The use of electronic medical records (EMR), including cloud computing-based EMR, is widely increasing. However, data regarding the perception of physicians using cloud computing-based EMR in Indonesia is still limited. Objective: This study aims to determine the perception of clinical doctors in using EMR based on cloud computing. Methods: This is a cross sectional study with a mixed-methods explanatory sequential design approach to determine the perception of clinicians in using cloud computing-based EMR. Qualitative analysis is used to support the depth of quantitative data analysis. Result: There are 10 private clinic doctors who participate. The average value of respondents' satisfaction after using cloud computing-based EMR is 7.4 from a scale of 1-10, with a median value of 8. In the analysis of interest in using cloud computing-based EMR in the long term, it was found that 30% of respondents said "yes", and 70% said "maybe". Qualitative data show that the problems in using EMR are the high price of the EMR system, security and privacy, the display is still limited, and the need for a stable internet network. Conclusion: The use of cloud computing-based EMR by clinicians still meet a number of obstacles. Further development is needed to increase the satisfaction and interest of doctors using RME based on cloud computingKeywords: electronic medical records, cloud computing, clinical physicians, perception
Model Hybrid Menggunakan Dekomposisi-Neural Network Untuk Data Indeks Harga Saham Gabungan Imelda Saluza; Dewi Sartika; Ensiwi Munarsih
Jurnal Ilmiah Informatika Global Vol. 13 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i3.2696

Abstract

 The development of Covid-19 has worsened the economy not only nationally but also globally. Since its spread, the price movement of the Jakarta Composite Index (IHSG) has continued to be volatile. JCI price volatility shows risk and uncertainty in investing. Volatility is used as a barometer to determine portfolio management strategies for financial actors. Therefore, financial actors should find a strategy to be able to predict JCI price movements to reduce risks and gain profits. One way that can be done is to predict the JCI price as a reference in investing. This study uses a hybrid model between the decomposition model and the Neural Network (NN) in predicting JCI price volatility. The decomposition uses two approaches, namely additive and multiplicative, the two approaches will then be combined with NN and the NN algorithm used is Feed Forward Neural Network (FFNN) where the results of the decomposition in the form of seasonal, trend, and random data are used as input in the FFNN architecture. The FFNN architecture in this study differs from the hidden layer nodes and the epochs used. Furthermore, the prediction results from the model are compared with a single NN. The performance of each architecture will be measured using the Mean Absolute Error (MAE) and Mean Square Error (MSE). The results show that the hidden layer with more nodes can provide good performance while the epoch used provides good performance depending on the learning process carried out. The prediction results using the hybrid model can outperform the performance of a single NN.Keywords : time series, volatilitas, studi perbandingan, kecerdasan buatan, statistik.
Sistem Informasi Penjualan Online Rumah Hunian Evi Purnamasari; Nuraini Nuraini; K. Ghazali K. Ghazali; Indah Permatasari
Jurnal Ilmiah Informatika Global Vol. 13 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i3.2715

Abstract

At this time, which has entered the world of globalization, where humans are increasingly familiar with the world of increasingly advanced technology in making it easier to carry out various activities in life. At this time the world has recognized a technology that is often used in online shopping called the internet.The internet is able to make a person communicate with other people in various parts of the world, through the internet everyone can provide or obtain the information needed anytime and anywhere we are. In addition, with the presence of the internet, humans can do business easily. PT. Karya Utama Jaya Palembang is a company engaged in the sale of residential houses with various types in Palembang. In conducting sales activities PT. Karya Utama Jaya still uses simple information by employing sales personnel to distribute brochures at various points of location so that marketing and sales are not optimal, so housing sales have not been effective and efficient. In connection with the problem of many competitors selling housing and lack of marketing, it is necessary to create a web-based information system by utilizing the internet which serves to facilitate consumers in getting information and being able to place orders easily and can improve a company's performance in selling residential homes and in marketing.Keywords : System, information, house, Online
Sistem Pendukung Keputusan Penentuan Mutu Tanaman Karet (Studi Kasus PT. Hevea MK 1) Yulianti, Evi; Marcelina, Dona; Aulia, Muti’a Rahma
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.2976

Abstract

Determination of Product Quality of Hevea Brasiliensis (Rubber) at PT. Hevea MK 1 Palembang is very important in improving the quality of service to consumers. PT. Hevea MK 1 Palembang has not maximally utilized Information System Technology in determining the best quality of latex, resulting in a relatively long time in calculating the quality value of latex rubber, the need for Information Systems Technology that can support Decision Making to solve structured and unstructured problems. Based on the problems above, we need a system that can solve the quality problem of Hevea brasiliensis (rubber) sap, with the Decision Support System determining the quality of Hevea Brasiliensis (rubber) sap is expected to help and facilitate the company in choosing the type of superior rubber seeds. This study aims to determine the best quality of latex Hevea Brasiliensis rubber at PT. Hevea MK 1 Palembang uses the promethee method. The output of this application is in the form of an alternative decision with the highestranking value. The Decision Support System was developed using PHP and MySQL programming as a Database Management System (DBMS). System testing resulted in Rank 1, namely A2 with Leaving Flow = 0.583333, Entering Flow = 0, Net Flow = 0.583333 while Rank 2, namely A3 with Leaving Flow = 0.166667, Entering Flow = -0.25, Net Flow = -0 .8333 and Rank 3, namely A1 with Leaving Flow = 0, Entering Flow = 0.5, Net Flow = -0.5
Review Paper Data Mining Klasifikasi Data Mining Srirahayu, Agustina; Pribadie, Laras Setya
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.2981

Abstract

The process of combining statistical techniques, mathematical calculations, Artificial Intelligence (AI) and machine learning to extract useful and interrelated information from large amounts of data. Data mining is commonly used to analyze and explore big data to get useful information. There is a lot of information that can be extracted from processing using data mining, such as analyzing consumer purchases or making decisions regarding the production process. Science has often been implemented to solve problems that arise from existing circumstances. In addition to the knowledge needed in order to solve problems or make strategic decisions in dealing with problems that arise, past experience or data that has been obtained at the time of the lights can also be used as a reference for making decisions. Data mining is the process of extracting (mining) information from a set of past data which is then displayed as knowledge to be used in accordance with the desired needs. Research on data mining has been carried out by many researchers to date related to the application of data mining to solve the problems they face, even though the problems are different in type and designation. This paper was written to review existing papers regarding data mining, especially classification. And to get information and map from research that has been done to be used as literature on the author's research plan. Through this review, it is hoped that later you can choose the right method to process data using data mining for the best results.
Penerapan Metode Algoritma Djikstra Dan Klasifikasi Bayesian Sebagai Kecerdasan Buatan Pada Game Bujang Beji Adventure Jodianus; Ep, Amak Yunus; Wiguna, Anggri Sartika
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.2982

Abstract

Game is a game that is much favored by children and adults who are used to just fill spare time or even to seek entertainment, games have various types, one of which is the Bujang Beji Adventure game, the Bujang Beji game genre Role Playing Game (RPG), the Bujang Beji game has a weakness in the behavior of the NPCs which is monotonous and easy to beat so that it makes the game feel boring, it takes an intelligence that can make NPCs make their own decisions, in this study artificial intelligence was designed using the djikstra algorithm and bayesian classification, the djikstra algorithm is an algorithm pathfinding is used in the process of determining the shortest route, with this algorithm it is hoped that the NPC can determine the shortest route to players from 11 node points, the use of bayesian classification in the Bujang Beji game as a decision-making system with the output of hitting and shooting actions based on 4 parameters, namely : APP, HP, Distance, MANA, on 15 test results of the djikstra algorithm by changing the starting point and destination point, it was found that the NPC can determine the shortest route between the NPC and the player. And the Bayesian classification test obtained an accuracy rate of 86%.
Rancang Bangun Aplikasi E-Marketplace Wedding Planner Berbasis Android Rifaldi, Muhamad; Atika, Linda
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.2983

Abstract

Digital marketing of products can be called an e-marketplace because of the online or virtual meeting between sellers and buyers. The development of e-marketplace information technology has penetrated in various fields, one of which is wedding planners. To increase the digitalization of marketing or e-marketplaces for transactions in the marketing of wedding planner packages, it requires a system that can help entrepreneurs or people who have expertise in the field of wedding planners such as master of ceremonies, wedding organizers, building or aisle rentals, music, catering, and photographers who can carry out the package marketing process. Not only for entrepreneurs or people who have expertise, for the bride and groom also need a place to search and order from various types of wedding planner packages. The container in question is a system that can be used on a mobile basis, especially based on Android because it can make it easier for prospective brides, entrepreneurs, and people who have the expertise to carry out a process of buying and selling products or wedding planner packages. The system was built and designed using the Java programming language with MySQL as the database and firebase as the push notification. The system development methodology used is an iterative model. It is hoped that this research can produce an Android-based wedding planner e-marketplace application, so that the application can facilitate transactions for prospective brides, entrepreneurs, and people who have expertise.
Analisis Kepuasan Learning Management System Universitas XYZ Menggunakan Metode System Usability Scale dan K-Means Irfani, Muhammad Haviz; Sartika, Dewi
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.2988

Abstract

The importance of knowing the results of using the LMS (Learning Management System) learning application to determine the overall use value of users each semester. User perceptions were obtained using the SUS (system usability scale) method using a questionnaire that adopted 10 questions distributed to 118 users (students) of the XYZ University Informatics Engineering study program who had used the LMS after 1 semester. The purpose of this study is to determine user perceptions by clustering user satisfaction which has been carried out for 1 semester. Grouping perceptions using the K-Means method with variables (columns) that seem to have the greatest influence on other variables. Other tools use Google Colab in the Python programming language. The number of variables is 10 variables adopted from the questions in the System Usability Scale method. The results of this study provide a total of 3 (three) clusters which will then become the basis for scoring the criteria for the SUS method. The criteria for using the LMS system with cluster 2 have an excellent rating (SUS score of 72.04) and the number of perceptions is 49 people from 118 students. Overall, LMS users provide good value for several modules in the LMS, but the third cluster with the highest number gives the best results from the other clusters.

Page 18 of 27 | Total Record : 264

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