STMIK Pringsewu Lampung (Sekolah Tinggi Manajemen Informatika dan Komputer): Portal OJS
Not a member yet
716 research outputs found
Sort by
LOAN AND RETURN INFORMATION SYSTEM QR CODE-BASED VILLAGE LIBRARY BOOK
The library is a facility that affects current technological advances, the Village Library is a means of supporting learning activities that play an important role in increasing educational goals in the Village Community. Library information system technology using QR codes is very useful compared to using manual or handwritten because several systems in the QR Code are able to handle library services and processes that will become more effective and efficient. However, the “Lisa” Library is located in the Kebumen Village area, Tanggamus still uses manuals so it is still difficult to manage data, and find loan data and books. Lack of borrower's sense of responsibility in using library books and still accurate data so that it is not appropriate. To overcome this problem, a library information system is needed. In the current process of technological development, we want to use the QR Code web. By designing using the Waterfall and Fishbone methods as development so that this educational service can be bette
Context Mobile Application (CMA) for Increasing the Service of Koperasi in Indonesia
Koperasi has an important role for economic growing in Indonesia. Especially in this time of pandemic, all countries in this world are face the same problem because of Covid-19 which is economic collapse beside the health issues. It is already a year that this virus affects the economic system of the countries. The government tries to grow the economic by supporting the small businesses through keperasi perhaps they may help the growing of the economics of the country. Unfortunately, most of conventional koperasi are still use the manual system to operate their serving to the member. In this research, it proposes mobile application of koperasi based on context needed in order to give better services to the member. The result of this research shows more than 80% user satisfy using this application
ANALYSIS OF USER ACCEPTANCE OF THE MOBILE APPLICATION OF NATIONAL HEALTH INSURANCE USING THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) METHOD
Information and Communication Technology (ICT) plays an important role in the business world, not only as a tool to gain a competitive position but also to achieve time and cost efficiency. One application which is widely used by the public, especially in the health sector is JKN Mobile, which was developed by Social Security Agency of Health to get closer to its users in obtaining health information and health facilities. This study aims empirically to explain the factors which influence the acceptance of the Mobile application of National Health Insurance from the user's point of view. This research adapts the Unified Theory of Acceptance and Use of Technology (UTAUT) as a theoretical basis. Data collection used a survey and this effort succeeded in obtaining 177 valid responses. The survey data was then rigorously analyzed using the Structural Equation Model - Partial Least Square (SEM-PLS). The results of this study indicate that Performance Expectation (PE), Effort Expectation (EE) and Social Influence (SI) have a positive effect on User Behavior Intentions (BI) with t-test values of 4.231, 3.750 and 4.762 respectively. These three variables can convincingly explain the BI of 65.0% in using the application. Furthermore, the Facilitating Condition (FC) and BI variables contribute 67.5% to explain the factor variance in the use of the Mobile application of National Health Insurance with t-test values of 8,698 and 4,253 respectively BI to Used Behavior (UB) and FC to UB. Therefore, this research is theoretically contributed by validating the use of UTAUT in the deployment of ICT in the health sector
ANALYSIS OF USER SATISFACTION OF THE GOPAY FINTECH APPLICATION IN ADOLESCENTS IN DENPASAR USING IS SUCCESS MODEL
This study aims to analyze how much trust and satisfaction of adolescent Gopay Fintech users in Denpasar city by using the Delone & McLean IS Success Model. The data analysis method used is the SEM PLS method with the help of the Smart-PLS software version 3.0. This software is used to carry out testing starting from the validity and reliability test stages up to the overall data processing stage. The results of this study indicate that the accepted hypotheses. 1) The system quality variable has a positive and significant effect on trust, 2) the system quality variable has a positive and significant effect on user satisfaction, 3) the information quality variable has a positive and significant effect on trust, 4) the interface design quality variable has a positive and significant effect on trust, 5) the security variable has a positive and significant effect on trust, 6) the security variable has a positive and significant effect on user satisfaction, 7) the trust variable has a positive and significant effect on user satisfaction. Then there are two rejected hypotheses. 1) The information quality variable has a positive effect but does not have a significant relationship to user satisfaction, and 2) the interface design quality variable has a positive effect but does not have a significant relationship to user satisfactio
FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT BERWIRAUSAHA MAHASISWA DI ERA NEW NORMAL
Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi minat berwirausaha di era new normal dengan variabel Ekspektasi pendapatan (X1) dan Lingkungan Keluarga (X2) dan Pendidikan Kewirausahaan (X3) terhadap minat berwirausaha (Y). Populasi penelitian adalah seluruh mahasiswa /i STMIK Pringsewu yang telah mengambil matakuliah Kewirausahan sebanyak 105 orang (3 kelas). Teknik pengambilan sampel dilakukan dengan cara purposive sampling sebanyak 25 responden. Analisa data penelitian kuantitatif yang mencakup analisis korelasi, analisis determinasi dan analisis regresi linear berganda (simultan), serta uji hipotesis yang menggunakan uji-t dan uji-F (ANOVA). Pengolahan data dilakukan dengan program SPSS 26.0 for windows diperoleh nilai koefisien korelasi r = 0,3961. Koefisien determinasi r2 = 0,944 artinya kontribusi variabel Ekspktasi Pendapatan, Lingkungan Kelurga dan Pendidikan Kewirausahaan terhadap minat berwirausaha sebesar 94,4%% dan sisanya sebesar 6,6% dipengaruhi oleh faktor lain. Persamaan regresi diperoleh Ŷ =-0,194 +0,420X1+0,264X2+0,99X3. Berdasarkan uji ANOVA (Uji F) disimpulkan bahwa faktor-faktor yang mempengaruhi minat berwirausaha di era new normal dengan variabel EKpskektasi Pendapatan, Lingkungan Keluarga dan Pendidikan Kewiraushaan berpengaruh secara bersama-sama terhadap minat berwirausaha dan berperan aktif terhadap minat berwirausaha pada mahasiswa/i STMIK Pringsewu. Model regresi hasil penelitian ini terbukti benar dan layak digunakan untuk peramalan
Analisis Valuasi Startup Studi Kasus Beritabali.com
A startup is a company that has innovative ideas and is often associated with technology. However, many Startups fail, one of which is due to a lack of knowledge and lack of funds. To get funds from investors, Startups must prepare a valuation value that will later be taken into consideration by investors. Beritabali.com is one of the Startups that requires a valuation value which is then used to find investors. The method used to find the valuation value of Beritabali.com is the scorecard valuation method. The scorecard valuation method is a valuation method that measures the value of the company from non-financial aspects. The valuation value of beritabali.com obtained from this method is Rp. 2,994,333,332. Meanwhile, the Present Value of Beritabali.com, which is measured from a financial point of view, is Rp. 780,797,764,-
EMOTION DETECTION IN ARABIC TEXT USING MACHINE LEARNING METHODS
Emotions are essential to any or all languages and are notoriously challenging to grasp. The textual data with embedded emotions has increased considerably with the Internet and social networking platforms. This study aims to tackle the challenging problem of emotion detection in Arabic text. Recent studies found that dialect diversity and morpho-logical complexity in the Arabic language, with limited access to annotated training datasets for Arabic emotions, pose the foremost significant challenges to Arabic emotion detection. The previous few years have seen a giant increase in interest in text emotion detection. The study of Arabic emotions might be a result of the Arab world’s considerable influence on global politics and thus the economy. There are numerous uses for the automated recognition of emotions within the textual content on Facebook and Twitter, including company development, program design, content generation, and emergency response. Hence, we shall develop a machine-learning model for emotion detection from Arabic textual data on social platforms. This study categorizes the texts supported emotions, anger, joy, sadness, and fear, using supervised machine learning approaches. We used five different machine learning algorithms, namely Decision Tree (DT), K-Nearest Neighbor (KNN), Naive Bayes (NB), Multinomial Naive Bayes (NB), and Support Vector Machine (SVM) to classify emotions in Arabic tweets. These results found that the selection Tree and K- Nearest Neighbor classifiers have the simplest accomplishment regarding the accuracy, 0.74, While the NB and Multinomial NB classifiers acquired 0.69, and also the SVM obtained 0.63
GERNING VILLAGE ANDROID-BASED INFORMATION SYSTEM TO IMPROVE VILLAGE SERVICES AND POTENTIAL
The information system is a system that is used for data processing in an organization with grouping procedures and processing to become useful information for users. Android is an operating system based on the Linux kernel which is specifically intended for mobile phone devices with touchscreen features. Seeing today's technological developments brings progress in several fields such as government, education, trade, economics, business, and so on. The current development of the village cannot be separated from the development of information technology to advance the potential of every town in the territory of Indonesia. The android-based information system makes it very easy for the community to find out potential information in their village and improve the quality of community services and the potential of the government in Gerning Village so that they can provide examples of other villages to use village information system services by following current technological developments. Making this Android-based Information System was created and designed using the method of observation, interviews, and the Development Life Cycle System (SDLC) which was carried out with the Planning Stage, Analysis Stage, Stages of Design, Stages of implementation, and Stages of maintenance. To know the flow of Information Systems using the Fishbone Framework and context diagrams. The design of making this Gerning Village Android-Based Information System using the PHP and MySQL programming languages. and by testing several systems that have been implemented can run or not. This Gerning Village Android-based Information System is expected to make it easier for the public to find the information provided
INFORMATION SYSTEM FOR TAX CONSULTANT SERVICE PROVIDERS (C-TAX) BASED ON WEB-BASED WITH MULTI-ATTRIBUTE UTILITY THEORY (MAUT) METHOD
Tax is a mandatory contribution to the state owed by an individual or entity that is coercive under the law, with no direct compensation, and used for state purposes. But many people still do not understand taxation, so some people, including taxpayers, need help or consultation from professional, that is Tax Consultants. However, in the digital era, there are still many people who are looking for tax consultants only through recommendations from colleagues or acquaintances. This designed system can help taxpayers in finding tax consultants using the Multi Attribute Utility Theory (MAUT) method, this method can provide tax consultant recommendations based on the selected criteria. Tests carried out on this system uses Technology Acceptance Model (TAM) method based on data obtained from 89 respondents and processed using the Smart-PLS application. The test results found that the five hypotheses were well received because the value of the t-statistics in each assumption was more significant than the t-table value of 1.989 and the p-value smaller than 0.05. In addition, the percentage correlation value of the hypothesis shows that PEOU influences PU by 61%, PU and PEOU influence ATU by 62%, and PU and ATU affect BITU by 47%
IMPLEMENTATION OF A WEB-BASED EXPERT SYSTEM FOR DIAGNOSIS OF RED BLOOD CELL PRODUCTION DISORDERS
The expert system is one of the branches of artificial ingenuity that studies how to adopt an expert's way of thinking in solving a problem and making a decision to draw conclusions. In this case an expert system is used to diagnose anemic diseases. Problems that arise in the community such as not knowing the characteristics of the disease, its impact is felt for a long time, and being lazy to consult a doctor. Overcoming these problems takes a lot of time and money, so an application is needed that can help doctors diagnose web-based red blood cell production disorders. The use of web technology combined with expert systems in supporting decisions, can better socialize the system. The data collection methods used are literature study methods, interviews with health experts and documentation. Fact-finding in expert systems uses the forward chaining method, to seek conclusions from existing facts. The application development phase includes interface design and system testing. The result of this study is to produce an output in the form of an application to diagnose impaired red blood cell production. The black box test shows that the program is in accordance with the knowledge of health experts regarding impaired red blood cell production