LPPM - STMIK WIDURI (E-Journals)
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IMPLEMENTASI METODE DATA MINING K-MEANS CLUSTERING TERHADAP DATA PEMBAYARAN TRANSAKSI MENGGUNAKAN BAHASA PEMROGRAMAN PYTHON PADA CV DIGITAL DIMENSI
Get PDFCV Digital Dimensi is a company engaged in the printing sector, which is a subsidiary of the XG Group located in Jakarta. In order to be able to compete with other companies, the company does not only focus on products and services but also efforts to build personal relationships with customers. Existing payment transaction data so far have not been utilized as much as possible in determining the company's business strategy, therefore the implementation of data mining is necessary to analyze and explore the available data to find new information that is more valuable and useful for the company. The K-Means Clustering method is a data mining technique to obtain data groups by maximizing the similarity of characteristics within the cluster and maximizing the differences between clusters. The purpose of this study is to apply the K-Means Clustering method to group sales transaction data on CV Digital Dimensi and display the results in the form of visual graphics using the Python programming language and Scikit-Learn library. The results of this study succeeded in classifying sales transaction data into five clusters and can be used as a reference in determining the company's business strategy.
SISTEM PAKAR DETEKSI KERUSAKAN JARINGAN LOCAL AREA NETWORK (LAN) MENGGUNAKAN METODE BECKWARD CHAINING BERBASIS WEB
Get PDFThe form of computer network connection can be via cable or wireless such as fiber optic, microwave, wireless, or satellite. One type of computer network that is often used to connect personal computers and workstations in an office or an organization, company or factory for the use of shared resources is a local area network. The purpose of this research is to analyze, design and create an application that can detect damage to Local Area Network (LAN) networks. The research method used is backward chaining. The results of this study are applications that can detect damage to local area networks using the web-based backward chaining method. With this expert system application, it can speed up and make it easier to detect damage to Local Area Network networks
HEART DISEASE CLASSIFICATION MODEL IN LEVEL II HOSPITAL MOH. RIDWAN MEUREKSA USING NAVE BAYES
Get PDFHeart disease is the number one cause of death in the world. Heart disease is a disease due to blockage of the heart's blood vessels which causes a disturbance in the balance between blood supply and demand. Level II Hospital Ridwan Meureksa is a hospital that provides inpatient, outpatient and emergency services. One of the services at the Level II Hospital Moh. Ridwan Meureksa is dealing with matters related to the human heart. In January 2021 to December 2021 at the Moh. Ridwan Meureksa the number of people with heart disease has increased and it is necessary to anticipate the increase in the future. This study aims to classify based on probability or probability from previous data, as well as obtain information about accuracy, precision and recall obtained when testing patient data using the Naive Bayes algorithm. The data used is medical record data of 3970 patients with heart disease cases. The results of the analysis show that symptoms of shortness of breath, rapid pulse, palpitations, weight loss, fever and decreased consciousness can be indicators for diagnosing heart disease. The results of this study are 99.7% and 98.7%, accuracy, 99.8% and 99.3%, precision and 99.8 % and 99.3%.recall
ADVICE PLANNING SYSTEM PADA DINAS PEKERJAAN UMUM DAN PENATAAN RUANG TATA KOTA PANGKALPINANG BERBASIS ANDROID
Get PDFAdvice Planning is a recommendation regarding the explanation of land designation for development or building in an area so that it is in accordance with its land designation based on the urban spatial pattern plan as regulated in the Pangkalpinang City Regional Regulation Number 1 of 2012 concerning Regional Spatial Planning (RTRW). This Advice Planning is also an initial requirement that must exist in managing the development permit process in Pangkalpinang City. Submission of Advice Planning can be done on behalf of an individual or on behalf of a company. The submission process is also done manually by visiting the Pangkalpinang City Public Works and Spatial Planning Office to collect the requirements form. Then come back again to complete the file submitted by the applicant to the concerned agency and after completing the existing documents and requirements the applicant must wait a few days until the Advice Planning is issued. Therefore, to improve the quality of public services with the concept of e-Government and facilitate the community in the process of submitting Advice Planning, an Android-based Advice Planning service application is needed. So that public services will become easier and shorten the time. The results of the research are in the form of an android-based application which is expected to facilitate applicants in submitting Advice Planning to the Pangkalpinang City Government without being hindered by time and place
APLIKASI PRESENSI DAN PENGGAJIAN BERBASIS WEB (STUDI KASUS: CV. KARYA KOBA JAYA)
Get PDFBecause many jobs exist, companies use information technology to help with office work. Employee attendance is related to the performance and discipline of employees in the company and is important for the company. CV. Karya Koba Jaya is a company engaged in the construction of buildings, bridges, roads, and irrigation. Problems that exist in the company are long attendance processes due to long lines, leave applications that must meet HRD directly and there is no record of leave information and slow payroll processes because they must be adjusted to attendance data and the long attendance data recapitulation process so that it hampers payroll process. This attendance application, leave application, and payroll can solve employee problems in absenteeism, leave application, and payroll. This web-based application for leave and payroll attendance requires PHP language and the waterfall model SDLC method with stages such as needs analysis, system design, implementation, testing, and maintenance to make a system as expected. The results of this study indicate that the attendance application for submitting leave and payroll based on this website can help employees in attendance, apply for leave, and payroll and can help the attendance recapitulation process can be fast so that the payroll process is not hampered. And the test results from the application that show attendance applications, leave applications, and website-based payroll are all functioning well without any problems or errors in the application so that it can be implemented in the organization. The conclusion of this study is that this website-based application for absenteeism and payroll applications can help overcome problems that exist in the company
RANCANG BANGUN SISTEM INFORMASI REKAM MEDIS BERBASIS WEB
Get PDFMedical record is a file that contains records about the patient's identity, examination, treatment, actions and other health services to patients. The speed of obtaining data and processing of data is very much needed in the current technological era. With the development of technology makes people think to be able to work more effectively and efficiently. One of them is making a conventional system into a computerized system. By utilizing website facilities that are connected to the internet, medical records can be more effective and efficient in searching and recording medical history. In this research a web-based information system is designed using the PHP programming language and MySQL database using the waterfall method as its research method. With this system, it is expected to be able to overcome the various needs of users to search for patient data and perform data processing as well as facilitate users in making reports. From the results of research and design that has been implemented to produce medical record applications that facilitate the processing of patient data
PROTOTYPE PENGENDALIAN LAMPU DAN AC JARAK JAUH DENGAN JARINGAN INTERNET MENGGUNAKAN APLIKASI TELEGRAM BERBASIS NODEMCU ESP8266
Get PDFInternet of Things (IoT) is a concept with the aim of expanding internet network connectivity that is connected to a global network. The Internet of Things (IoT) can be used to remotely control electronic devices such as lights and air conditioners via the internet. This study aims to create a control device that utilizes internet network technology and uses the telegram application to carry out the control process. There are four control features, namely lamp control which is used to turn on one lamp, the second feature is overall lamp control to turn on all lamps at one time, the third feature controls turning on and off the AC, the fourth feature can monitor lamps and the AC is on or off . The research method used in the manufacture of this control device is the Prototype method, which is considered very suitable for use and this device uses the nodeMCU ES8266 microcontroller. The results of this study are the use of Telegram can help and facilitate users or users in monitoring and controlling lights and air conditioners when not in the house
SISTEM MONITORING PENGGUNAAN DAYA LISTRIK BERBASIS INTERNET OF THINGS PADA RUMAH DENGAN MENGGUNAKAN APLIKASI BLYNK
Get PDFAll work and human needs are highly dependent on the presence of electrical energy, especially on household needs. Human negligence in using electrical energy will cause waste in the use of electrical energy which causes soaring payments among households. This study aims to examine the application of monitoring the electrical power used in the connection of these devices remotely via the internet. The system can be implemented using NodeMCU ESP8266, PZEM-004T sensor, Liquid Crystall I2C, and the Blynk application as a user interface system on a smartphone. To be able to monitor through the Blynk application, the user must be connected to the internet and the microcontroller must be connected to the internet network. This system using the internet network will make it easier to monitor electrical power in electronic devices at home every day. The results of this study are the prototype of the electrical power monitoring system using the Blynk application can help and facilitate homeowners in monitoring electrical power when the homeowner is not at home
ANALISA TINGKAT PENERIMAAN APLIKASI SCRATCH MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM)
Get PDFIn connection with the need for making instructional media applications by teachers in the distance learning process, PT. Bangun Satya Wacana (BSW) through the Diginusa department held training on the use of the Scratch visual programming application to create learning materials such as games, animations and interactive quizzes. Scratch is a graphical programming language using drag and drop command blocks. Besides that, Scratch can be used both online and offline, so it is very helpful for the distance learning process (DLP). This research aims to see how the level of acceptance of teachers to Scratch using the Technology Acceptance Model (TAM) method. The indicators measured are Self-Efficacy, Complexity, Perceived Usefulness, Perceived Ease of Use, Intention to Use and Actual Technology Use, then analyzed by linear regression method with the help of IBM SPSS software. From the results of the analysis carried out, it can be seen that the Intention to Use affects the Actual Technology Use. Perceived Usefulness and Perceived Ease of Use together affect the Intention to Use. Perceived Ease of Use, Self-Efficacy and Complexity together have a significant effect on Perceived Usefulness
PERBANDINGAN ALGORITMA K-NEAREST NEIGHBOR, DECISION TREE, DAN NAIVE BAYES UNTUK MENENTUKAN KELAYAKAN PEMBERIAN KREDIT
Get PDFThe banking world in terms of providing credit to customers is a regular activity that has a large effect. In its application, non-performing loans or bad loans are often created due to poor credit analysis in the credit granting process, or from bad customers. The purpose of this study is to compare the results of algorithm accuracy between K-Nearest Neighbor (K-NN), Decision Tree, and Naive Bayes which results in the best accuracy will be implemented to determine creditworthiness. The attributes used in this study consisted of 11 attributes, namely marital status, number of dependents, age, last education, occupation, monthly income, home ownership, collateral, loan amount, length of loan and information as result attributes. The methods used in this research are K-Nearest Neighbor, Decision Tree, and Naive Bayes. From the results of evaluation and validation using k-5 fold that has been carried out using RapidMiner tools, the highest accuracy results from a comparison of 3 algorithms is using a decision tree (C4.5) of 98% in the 3rd test