Pub Date : 2022-08-30DOI: 10.47080/simika.v5i2.2216
Edy Nasri, Widyawati Widyawati, S. Sodikin
In this era of technological development, a lot of stored information requires applications that can support all activities, effectively and efficiently, but not many companies have implemented the application as a whole. one of which is Amaris Hotel Cilegon which has not used applications for recording purchases, receipts and controlling debts. Debt data processing still uses spreadsheets which are prone to various problems. Therefore, this study aims to analyze work activities by looking at the system that is running at Amaris hotel Cilegon. The data on this study was collected using literature study methods and field studies to get accurate data results. Application creation uses native PHP language programming, with MySQL database and Class Bootstrap as a framework interface, while in the design of application system development the method used is the RAD method with Phased Development Model. In this study, the author designed and developed the Account Payable Subsidiary application that can provide the company's debt control features at any time, record-keeping relationships with payable accounts and performed only one process in the recording process receiving, to produce output in the form of values listed in receiving journals and payable account journals and can be directly used as the basis for making financial statements by Bookkeeper Accounting Supervisor.
{"title":"PERANCANAGAN APLIKASI ACCOUNT PAYABLE SUBSIDIARY DENGAN PEDEKATAN MODEL PHASED DEVELOPMENT","authors":"Edy Nasri, Widyawati Widyawati, S. Sodikin","doi":"10.47080/simika.v5i2.2216","DOIUrl":"https://doi.org/10.47080/simika.v5i2.2216","url":null,"abstract":"In this era of technological development, a lot of stored information requires applications that can support all activities, effectively and efficiently, but not many companies have implemented the application as a whole. one of which is Amaris Hotel Cilegon which has not used applications for recording purchases, receipts and controlling debts. Debt data processing still uses spreadsheets which are prone to various problems. Therefore, this study aims to analyze work activities by looking at the system that is running at Amaris hotel Cilegon. The data on this study was collected using literature study methods and field studies to get accurate data results. Application creation uses native PHP language programming, with MySQL database and Class Bootstrap as a framework interface, while in the design of application system development the method used is the RAD method with Phased Development Model. In this study, the author designed and developed the Account Payable Subsidiary application that can provide the company's debt control features at any time, record-keeping relationships with payable accounts and performed only one process in the recording process receiving, to produce output in the form of values listed in receiving journals and payable account journals and can be directly used as the basis for making financial statements by Bookkeeper Accounting Supervisor.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"84 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120905860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.47080/simika.v5i2.2220
Aplikasi Augmented Reality, P. Hewan, Berbasis Android Menggunakan, Library Vuforia, I. M. Pasek, Pradnyana Wijaya
This world consists of various kinds of living things, there are humans, animals and plants. There are many types of animals in this world. In contrast to the declining animal species, computer technology continues to evolve over time. Computer technology helps a lot in the learning of school children and early childhood. Learning applications are now very developed and easy to find, for example learning applications for smartphone devices. Augmented reality technology is one that is currently being developed and applied. Augmented reality has a positive impact with its potential to project objects such as text, images, videos, and 3D objects in the real world. Application development using augmented reality technology requires a marker. Markers can be in the form of 2D images, locations, objects around us, or in the form of text. Vuforia SDK is a software that can detect an image or text. In this study, the marker used is no longer in the form of an image, but the marker used is in the form of print-out text. The concept is that users simply type the name of the animal on another device or are allowed to print the name of the animal, then scan it with a device that has this augmented reality application installed. This application was built using the waterfall method. Testing is done by using the blackbox technique. The result of this research is the application of augmented reality animal recognition with this print-out textmarker can run well.
{"title":"APLIKASI AUGMENTED REALITY PENGENALAN HEWAN BERBASIS ANDROID MENGGUNAKAN LIBRARY VUFORIA","authors":"Aplikasi Augmented Reality, P. Hewan, Berbasis Android Menggunakan, Library Vuforia, I. M. Pasek, Pradnyana Wijaya","doi":"10.47080/simika.v5i2.2220","DOIUrl":"https://doi.org/10.47080/simika.v5i2.2220","url":null,"abstract":"This world consists of various kinds of living things, there are humans, animals and plants. There are many types of animals in this world. In contrast to the declining animal species, computer technology continues to evolve over time. Computer technology helps a lot in the learning of school children and early childhood. Learning applications are now very developed and easy to find, for example learning applications for smartphone devices. Augmented reality technology is one that is currently being developed and applied. Augmented reality has a positive impact with its potential to project objects such as text, images, videos, and 3D objects in the real world. Application development using augmented reality technology requires a marker. Markers can be in the form of 2D images, locations, objects around us, or in the form of text. Vuforia SDK is a software that can detect an image or text. In this study, the marker used is no longer in the form of an image, but the marker used is in the form of print-out text. The concept is that users simply type the name of the animal on another device or are allowed to print the name of the animal, then scan it with a device that has this augmented reality application installed. This application was built using the waterfall method. Testing is done by using the blackbox technique. The result of this research is the application of augmented reality animal recognition with this print-out textmarker can run well. ","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126768957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Human resources are the most valuable asset in a company. Employee performance is one of the company's benchmarks in assessing the productivity of these assets. Methods in measuring employee performance can be done in various forms, one of which is using the fuzzy logic method. Fuzzy Mamdani is a fuzzy inference method that provides rules that must be passed before carrying out the process of determining the final value. There are three main criteria that will be analyzed in this study, namely attendance, quality of work and communication. Each of these criteria has a value obtained from the average value of several elements. The final result after going through the employee data analysis process is the average weighted value. Conclusions that can be drawn as the basis for employee performance and the results can be seen from the order of values, starting from the highest to the lowest. MATLAB or what we call it (Matrix Laboratory) is a program for analyzing and computing numerical data, and MATLAB is also an advanced mathematical programming language, which was formed on the premise of using the properties and forms of matrices. Graphical User Interface (GUI) is a visual media that makes users give certain commands on the computer without typing the command, but using the available images.
{"title":"MODEL IMPLEMENTASI LOGIKA FUZZY UNTUK PENILAIAN KINERJA KARYAWAN IT SUPPORT","authors":"Sumanto Sumanto, Ade Christian, A. Yani, Karlena Indriani, Sumarna Sumarna, Hafis Nurdin","doi":"10.47080/simika.v5i2.2067","DOIUrl":"https://doi.org/10.47080/simika.v5i2.2067","url":null,"abstract":"Human resources are the most valuable asset in a company. Employee performance is one of the company's benchmarks in assessing the productivity of these assets. Methods in measuring employee performance can be done in various forms, one of which is using the fuzzy logic method. Fuzzy Mamdani is a fuzzy inference method that provides rules that must be passed before carrying out the process of determining the final value. There are three main criteria that will be analyzed in this study, namely attendance, quality of work and communication. Each of these criteria has a value obtained from the average value of several elements. The final result after going through the employee data analysis process is the average weighted value. Conclusions that can be drawn as the basis for employee performance and the results can be seen from the order of values, starting from the highest to the lowest. MATLAB or what we call it (Matrix Laboratory) is a program for analyzing and computing numerical data, and MATLAB is also an advanced mathematical programming language, which was formed on the premise of using the properties and forms of matrices. Graphical User Interface (GUI) is a visual media that makes users give certain commands on the computer without typing the command, but using the available images.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123986434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research was conducted to apply the Support Vector Machine algorithm in the process of classifying the nutritional status of infants under five. The nutritional status of early childhood can determine what kind of human resources as successors of a nation in the future. Good nutritional status plays an important role in determining the success or failure of efforts to increase human resources, so that data on the nutritional status of toddlers such as at the Posyandu, Bangun Purba District can be classified using Data Mining techniques using the Support Vector Machine algorithm. The results of this study using 80% of the data as training data and 20% of the data as training data are f1 score 0.865, accuracy 0.876, precision score 0.871, and recall score 0.876. The results showed that from a total of 347 data on the nutritional status of infants, there were 284 infants with good nutrition, 15 infants with poor nutrition, 23 infants with less nutrition, 8 infants with excess nutrition, 6 infants with obesity, and 11 infants at risk of overnutrition. Based on these results, there were 304 baby nutrition data that were classified correctly from a total of 347 baby data that were used as testing data. From this research, it can be concluded that the Support Vector Machine algorithm can classify infant nutrition data at the Posyandu, Bangun Purba District, well.
{"title":"KLASIFIKASI STATUS GIZI BAYI POSYANDU KECAMATAN BANGUN PURBA MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM)","authors":"Emir Ramon, Alwis Nazir, Novriyanto Novriyanto, Yusra Yusra, Lolo Oktavia","doi":"10.47080/simika.v5i2.2185","DOIUrl":"https://doi.org/10.47080/simika.v5i2.2185","url":null,"abstract":"This research was conducted to apply the Support Vector Machine algorithm in the process of classifying the nutritional status of infants under five. The nutritional status of early childhood can determine what kind of human resources as successors of a nation in the future. Good nutritional status plays an important role in determining the success or failure of efforts to increase human resources, so that data on the nutritional status of toddlers such as at the Posyandu, Bangun Purba District can be classified using Data Mining techniques using the Support Vector Machine algorithm. The results of this study using 80% of the data as training data and 20% of the data as training data are f1 score 0.865, accuracy 0.876, precision score 0.871, and recall score 0.876. The results showed that from a total of 347 data on the nutritional status of infants, there were 284 infants with good nutrition, 15 infants with poor nutrition, 23 infants with less nutrition, 8 infants with excess nutrition, 6 infants with obesity, and 11 infants at risk of overnutrition. Based on these results, there were 304 baby nutrition data that were classified correctly from a total of 347 baby data that were used as testing data. From this research, it can be concluded that the Support Vector Machine algorithm can classify infant nutrition data at the Posyandu, Bangun Purba District, well.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129675505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-28DOI: 10.47080/simika.v5i2.1789
A. Erfina, Muhamad Fani Al-shufi
Along with the passage of sales through the marketplace. The courier service industry has also experienced an increase. There are many choices of courier services to choose from, each courier service has different qualities depending on how the service provided by the courier service to customers. To find out the quality of courier services, this research was carried out, this research was conducted on courier service applications on Playstore, usually the best application predicate is for applications with a high number of downloads and ratings, while comments from users must also be considered to get results which is relevant. In this study, the Naïve Bayes algorithm is used because it has a high level of accuracy to determine the best courier service application. Based on the research that has been done, the highest accuracy value is obtained by the JNT application of 100% but has a positive sentiment of 50 reviews. The two JNE applications with an accuracy value of 98% with a positive sentiment of 46 reviews, the three ninjaxpres applications with an accuracy value of 97.87% with a positive sentiment of 49 reviews, the fourth by the Sicepat application with an accuracy value of 97.85% with a positive sentiment of 47 reviews and finally by the Idexpress application with an accuracy value of 94% with a positive sentiment of 49 reviews.
{"title":"ANALISIS SENTIMEN APLIKASI JASA KURIR DI PLAY STORE MENGGUNAKAN ALGORITMA NAIVE BAYES","authors":"A. Erfina, Muhamad Fani Al-shufi","doi":"10.47080/simika.v5i2.1789","DOIUrl":"https://doi.org/10.47080/simika.v5i2.1789","url":null,"abstract":"Along with the passage of sales through the marketplace. The courier service industry has also experienced an increase. There are many choices of courier services to choose from, each courier service has different qualities depending on how the service provided by the courier service to customers. To find out the quality of courier services, this research was carried out, this research was conducted on courier service applications on Playstore, usually the best application predicate is for applications with a high number of downloads and ratings, while comments from users must also be considered to get results which is relevant. In this study, the Naïve Bayes algorithm is used because it has a high level of accuracy to determine the best courier service application. Based on the research that has been done, the highest accuracy value is obtained by the JNT application of 100% but has a positive sentiment of 50 reviews. The two JNE applications with an accuracy value of 98% with a positive sentiment of 46 reviews, the three ninjaxpres applications with an accuracy value of 97.87% with a positive sentiment of 49 reviews, the fourth by the Sicepat application with an accuracy value of 97.85% with a positive sentiment of 47 reviews and finally by the Idexpress application with an accuracy value of 94% with a positive sentiment of 49 reviews.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"918 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123047101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract: Today shopping online for daily needs has become a culture for some of our society, especially with the Covid-19 pandemic condition that has been going on for a long time, making us to do more activities at home. This has increased the interest in online shopping, especially for women who like to shop, making online stores an alternative to still being able to shop. With conditions like this, many new online shops or online stores that come from these non-online stores have joined in an e-commerce platform. As online stores increase, the competition among online stores are getting tighter and a little bit confusing for consumers to determine which online store to shop for. We need a decision support system that can help assess and compare one store with another. Researchers will use the AHP (Analytic Hierarchy Process) method that works based on a hierarchical structure in determining criteria using the Multi-criteria Decision Making (MCDM) concept that utilizes the results obtained from eigenvectors through iterations to minimize differences in the assessments of a number of respondents. The results will prove that the decision support system for choosing a trustworthy online shop for women's bags is appropriate based on the dimensions of online store satisfaction. The results of this study will be obtained which online shop for women's bags that are selected or in demand for online shopping transactions. Keywords: Analytical hierarchy process (AHP), e-commerce, eigenvector, decision support system, online shop
{"title":"PENERAPAN METODE AHP UNTUK PEMILIHAN TOKO ONLINE TAS WANITA PADA PLATFORM SHOPEE","authors":"Herlina Trisnawati, Veranita Veranita, Sakius Tarigan","doi":"10.47080/simika.v5i2.2005","DOIUrl":"https://doi.org/10.47080/simika.v5i2.2005","url":null,"abstract":"Abstract: Today shopping online for daily needs has become a culture for some of our society, especially with the Covid-19 pandemic condition that has been going on for a long time, making us to do more activities at home. This has increased the interest in online shopping, especially for women who like to shop, making online stores an alternative to still being able to shop. With conditions like this, many new online shops or online stores that come from these non-online stores have joined in an e-commerce platform. As online stores increase, the competition among online stores are getting tighter and a little bit confusing for consumers to determine which online store to shop for. We need a decision support system that can help assess and compare one store with another. Researchers will use the AHP (Analytic Hierarchy Process) method that works based on a hierarchical structure in determining criteria using the Multi-criteria Decision Making (MCDM) concept that utilizes the results obtained from eigenvectors through iterations to minimize differences in the assessments of a number of respondents. The results will prove that the decision support system for choosing a trustworthy online shop for women's bags is appropriate based on the dimensions of online store satisfaction. The results of this study will be obtained which online shop for women's bags that are selected or in demand for online shopping transactions. \u0000 \u0000Keywords: Analytical hierarchy process (AHP), e-commerce, eigenvector, decision support system, online shop \u0000 ","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125296542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-24DOI: 10.47080/simika.v5i2.2098
B. Suhendri, Syaechurodji Syaechurodji
The purpose of this research is to analyze and provide input to KONI Serang City which is currently still using conventional methods in managing documentation of various letters. Office documents almost every day in and out of an agency, both incoming letters and other letters related to disposition and reporting to an agency. To store these documents, we need an application that is able to manage each of these documents so that they can be easily retrieved and can be reused. As time goes by, more and more documents are stored or archived, of course, it will take up more space and make it difficult to search when needed again. In addition, archiving documents with printed files will get damaged over time, therefore this really needs more serious attention considering that every document is very important and valuable. Archival documents that have been piled up. One solution to overcome the problems above is to design a digital archive system, where with this digital system every document will be archived properly and safely and make it easier to search when needed again, besides that it will save space and time. The research methods used include data collection methods by interview, observation and literature study, the approach method used is structured, namely the system development method using the waterfall model. After conducting analysis, design and testing, it is concluded that with this system mail management is better, simplifying the process of managing each document so that there is no more delayed reporting or information.
{"title":"PERANCANGAN APLIKASI ARSIP DIGITAL DI KONI KOTA SERANG","authors":"B. Suhendri, Syaechurodji Syaechurodji","doi":"10.47080/simika.v5i2.2098","DOIUrl":"https://doi.org/10.47080/simika.v5i2.2098","url":null,"abstract":"The purpose of this research is to analyze and provide input to KONI Serang City which is currently still using conventional methods in managing documentation of various letters. Office documents almost every day in and out of an agency, both incoming letters and other letters related to disposition and reporting to an agency. To store these documents, we need an application that is able to manage each of these documents so that they can be easily retrieved and can be reused. As time goes by, more and more documents are stored or archived, of course, it will take up more space and make it difficult to search when needed again. In addition, archiving documents with printed files will get damaged over time, therefore this really needs more serious attention considering that every document is very important and valuable. Archival documents that have been piled up. One solution to overcome the problems above is to design a digital archive system, where with this digital system every document will be archived properly and safely and make it easier to search when needed again, besides that it will save space and time. The research methods used include data collection methods by interview, observation and literature study, the approach method used is structured, namely the system development method using the waterfall model. After conducting analysis, design and testing, it is concluded that with this system mail management is better, simplifying the process of managing each document so that there is no more delayed reporting or information.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117104084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-24DOI: 10.47080/simika.v5i2.1913
Raga Permana, Handrianus Saldu, D. Maulana
Garbage is useless goods/materials used normally or specifically in production, goods damaged during production or useless materials which mainly come from households. Moreover, inorganic waste is very difficult and takes a longer time to be decomposed by the soil. The lack of public knowledge about the classification of types of waste and how to process it causes a very serious problem in Indonesia. Therefore, this research creates a waste type recognition program using the Convolutional Neural Network (CNN) algorithm, which can be used to detect and recognize objects in an image. CNN is a technique inspired by the way mammals, humans, produce visual perception. CNN is included in the type of deep neural network because of its high network depth and widely applied to imagery. 2 Types of waste classification, namely inorganic waste and organic waste. The implementation of garbage image recognition uses 2 test models, Sequential and on top VGG16 which runs on the Google Collaboratory application, and Keras. After carrying out the Augmentation process, the number of test data in this study was 1489 images on the training data and 182 on the testing data resulting in an evaluation value with an accuracy of 90.97% and a loss value of 0.307 on the Sequential model, and an accuracy value of 97.99% with a loss value of 0.069 on the on top model. VGG16.
{"title":"OPTIMASI IMAGE CLASSIFICATION PADA JENIS SAMPAH DENGAN DATA AUGMENTATION DAN CONVOLUTIONAL NEURAL NETWORK","authors":"Raga Permana, Handrianus Saldu, D. Maulana","doi":"10.47080/simika.v5i2.1913","DOIUrl":"https://doi.org/10.47080/simika.v5i2.1913","url":null,"abstract":"Garbage is useless goods/materials used normally or specifically in production, goods damaged during production or useless materials which mainly come from households. Moreover, inorganic waste is very difficult and takes a longer time to be decomposed by the soil. The lack of public knowledge about the classification of types of waste and how to process it causes a very serious problem in Indonesia. Therefore, this research creates a waste type recognition program using the Convolutional Neural Network (CNN) algorithm, which can be used to detect and recognize objects in an image. CNN is a technique inspired by the way mammals, humans, produce visual perception. CNN is included in the type of deep neural network because of its high network depth and widely applied to imagery. 2 Types of waste classification, namely inorganic waste and organic waste. The implementation of garbage image recognition uses 2 test models, Sequential and on top VGG16 which runs on the Google Collaboratory application, and Keras. After carrying out the Augmentation process, the number of test data in this study was 1489 images on the training data and 182 on the testing data resulting in an evaluation value with an accuracy of 90.97% and a loss value of 0.307 on the Sequential model, and an accuracy value of 97.99% with a loss value of 0.069 on the on top model. VGG16.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132583213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-24DOI: 10.47080/simika.v5i2.2101
Mochamad Yusuf Romdoni, Irma Yunita Ruhiawati, Waliadi Gunawan
The purpose of this study is to analyze as well as provide input to a company, namely through the development of an information system that is currently used to process data for travel car rental services. Currently the computer application is one of the important factors for a company in managing all company activities to be more effective and easier. Even the use of technology through information systems has become the main requirement to show the quality of a field and become the most important capital in winning the competition. The information system for travel car rental services at Tirtayasa Trans needs to be designed because currently it is still using a separate data processing method in a spreadsheet application, where each daily or monthly transaction is grouped in each file so that this makes the filtering and reporting process difficult. The research method used in writing is a descriptive review method with a data collection technique approach, namely through observation, interviews, and literatur study. In addition, at the system development stage, the waterfall system is used. The design of this computer application can help companies to improve performance and car rental services in order to compete well in the world of travel car rental business.
{"title":"PERANCANGAN APLIKASI RENTAL MOBIL TRAVEL DESKTOP PADA PERUSAHAAN TIRTAYASA TRANS","authors":"Mochamad Yusuf Romdoni, Irma Yunita Ruhiawati, Waliadi Gunawan","doi":"10.47080/simika.v5i2.2101","DOIUrl":"https://doi.org/10.47080/simika.v5i2.2101","url":null,"abstract":"The purpose of this study is to analyze as well as provide input to a company, namely through the development of an information system that is currently used to process data for travel car rental services. Currently the computer application is one of the important factors for a company in managing all company activities to be more effective and easier. Even the use of technology through information systems has become the main requirement to show the quality of a field and become the most important capital in winning the competition. The information system for travel car rental services at Tirtayasa Trans needs to be designed because currently it is still using a separate data processing method in a spreadsheet application, where each daily or monthly transaction is grouped in each file so that this makes the filtering and reporting process difficult. The research method used in writing is a descriptive review method with a data collection technique approach, namely through observation, interviews, and literatur study. In addition, at the system development stage, the waterfall system is used. The design of this computer application can help companies to improve performance and car rental services in order to compete well in the world of travel car rental business.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132492892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-25DOI: 10.47080/simika.v5i1.1856
Boy Muhammad Ridwan, Roy Amrullah Ritonga, Anita Megayanti
SITMPAS is a Patient Management Information System used by Krakatau Medika Hospital, Cilegon. The features in SITMAPAS include patient administration, Outpatient, Inpatient, Operative Medical Support, Non Operative Medical Support, Service Support, Pharmacy and Medical Records, and Logistics. Some of these features are often disturbed and some functions are not in accordance with user needs, resulting in disrupted service processes, due to the absence of development planning in advance in the face of the current industrial 4.0 era. With these problems, this study aims to design architecture from the business, data, application and technology side using the TOGAF ADM method. The use of the TOGAF ADM method will produce a blueprint document for information architecture systems in the development of information systems to support the needs of the Krakatau Medika Hospital. The application of the TOGAF Architecture Development Method (ADM) method is able to identify needs so that it can analyze Fit/Gap and evaluate the SITMAPAS application business process and can propose an imperfect business process, namely the New KHS to produce better performance in targeting organizers from Krakatau Medika.
{"title":"PERENCANAAN ARSITEKTUR ENTERPRISE PADA PENYEMPURNAAN APLIKASI SITMAPAS RUMAH SAKIT KRAKATAU MEDIKA","authors":"Boy Muhammad Ridwan, Roy Amrullah Ritonga, Anita Megayanti","doi":"10.47080/simika.v5i1.1856","DOIUrl":"https://doi.org/10.47080/simika.v5i1.1856","url":null,"abstract":"SITMPAS is a Patient Management Information System used by Krakatau Medika Hospital, Cilegon. The features in SITMAPAS include patient administration, Outpatient, Inpatient, Operative Medical Support, Non Operative Medical Support, Service Support, Pharmacy and Medical Records, and Logistics. Some of these features are often disturbed and some functions are not in accordance with user needs, resulting in disrupted service processes, due to the absence of development planning in advance in the face of the current industrial 4.0 era. With these problems, this study aims to design architecture from the business, data, application and technology side using the TOGAF ADM method. The use of the TOGAF ADM method will produce a blueprint document for information architecture systems in the development of information systems to support the needs of the Krakatau Medika Hospital. The application of the TOGAF Architecture Development Method (ADM) method is able to identify needs so that it can analyze Fit/Gap and evaluate the SITMAPAS application business process and can propose an imperfect business process, namely the New KHS to produce better performance in targeting organizers from Krakatau Medika.","PeriodicalId":443734,"journal":{"name":"Jurnal Sistem Informasi dan Informatika (Simika)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125271797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：