Jurnal Informatika: Jurnal Pengembangan IT
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Optimalisasi Infrastruktur Jaringan Menggunakan Link Aggregation Control Protocol Dengan Device Cloud Router Switch
No full textThe development of data in a company is getting bigger and requires fast access time. the existence of a system that uses computer networks and internet access to support the activities of the company becomes an important part in the use of infrastructure in the company. Computer networks are accessed by all staff and employees in the building and there are servers and databases that are accessed all the time. In the building part consists of several work processes that simultaneously access to the same network and server. Then each staff and employee will access the same network infrastructure, where the data transfer burden is delegated to only one (1) switch port to connect. This can result in a large burden and network access can be slowed. By providing a configuration to optimize the switch network that adopts the link agro-protocol protocol (LACP) method on the use of network infrastructure so that it can be a solution for overcoming large network loads and slow access. By applying PPDIOO to the infrastructure development method so that the expectations can be achieved in accordance with the desired result
Association rules of Prognostic Variables for Survival in a Randomized Comparison of Treatments for Prostatic Cancer
No full textIn this paper, the data was analyzed by data mining techniques of association rules. The data for 506 patients consist of an identification number, stage of tumour, a code for the treatment to which the patient was assigned, the date of randomization, the total months of follow-up since randomization, an indicator for the survival status or cause of death, and the values of twelve pretreatment covariates. The goal of an analysis should be to compare the treatments with respect to survival of the patients. Since this was a randomized study it would ordinarily not be necessary to adjust for the values of the pretreatment covariates. However, in such studies it is advisable to examine the prognostic significance of the covariates and to confirm that they are balanced across treatment groups. In addition, the analyst should look for important treatment-covariates interactions which might lead to the definition of subsets of patients in which treatment differences were significantly more marked or even reversed
Prototype Pemblokir Gambar Pornografi Menggunakan Algoritma Viola and Jones
No full textThe spread of pornographic content extends very quickly through internet media. Various types of porn sites increase dramatically every day. Various prevention efforts to overcome the spread of pornographic content have been carried out. Starting from URL blocking, text filtering to be more specific directly to pornographic images through skin detection. However, all of these methods have various weaknesses. An effective step to reduce the spread of pornographic images is to block the breast area that is characteristic of the pornographic images. In this study a breast area blocking prototype was developed on pornographic images using the Viola and Jones algorithm.. From the test results obtained a precision value of 82.61%, 77.55% recall and accuracy of 78.26%
Prediksi Tingkat Kelulusan Mahasiswa Menggunakan Machine Learning dengan Teknik Deep Learning
No full textThe graduation rate of students on time at the Informatics Engineering study program STMIK IKMI Cirebon greatly affects the accreditation assessment. Graduation prediction is difficult to do, but many have done predictions using a variety of methods. Graduation prediction is needed in order to determine preventive policies for students who graduate not on time. The method used in this research is Machine learning with deep learning techniques. The data set used as many as 405 data of students who graduated on time or who were not on time. The research attributes used are the Nim attribute, the GPA value of students who have graduated and the status of graduating or not graduating. The results of this study are the level of accuracy using Machine Learning by 72.84%
Perancangan Sistem Informasi Warga Bintara Jaya berbasis Android dengan Waterfall Software Development Life Cycle
No full textRukun Tetangga / Rukun Warga is an inseparable part of Indonesian citizens ranging from administrative needs to social service needs such as information for residents, selection of new RT and RW leaders. The high interest of citizens towards services involving the RT head and other administrators often collided with the activities and daily activities of the administrators, resulting in limited and obstructed services for residents. This study aims to find the concept of system models that are needed by citizens to create ease in the management of messages and communication between the right citizens so that the time constraints that occur can be reduced. The research begins with designing a problem-based analysis design with the waterfall method. The method consists of sequential processes beginning with the analysis phase, system design, coding, implementation and maintenance of the system. The stages of system analysis, business process modeling using the Unified Modeling Language approach are used by use case and activity diagrams. The results of the study concluded that the application of the waterfall method could have an impact on the system development process to be more systematic and measurable, the system built was in accordance with what was expected by the residents
Rancang Bangun Absensi Mahasiswa Berbasis Fingerprint Menggunakan Komunikasi Wireless
No full textThe teaching and learning process on campus is always supervised by paying attention to attendance. Some campuses use this attendance as a condition for taking the exam. However, the attendance system is still manual, which is by using a signature on the attendance sheet. This system has several weaknesses which include the occurrence of fraudulent attendance, difficulty in monitoring attendance, and data that cannot be presented quickly. The study proposes an attendance system using fingerprints connected to wireless networks that are already available on campus. Wireless networks are used as a medium of communication between attendance tools and database servers. The use of wireless networks aims to facilitate equipment used in classrooms during the lecture process. Attendance tool designed on a single Raspberry Pi computer board that is equipped with fingerprint sensors, power banks and LCD screens. While wireless LAN devices are integrated in the Raspberry Pi boar. The attendance system begins with an enroll process to save the lecturer and student fingerprint templates. Each template is given an ID to be stored on the database server using TCP wireless and protocol networks. The enroll process observations require an average time of 4 seconds which consists of: transmission time and time identification of fingerprint characteristics to the creation of fingerprint templates. The attendance process in lecture activities begins with the absence of lecturers and is followed by students. The average time needed to do attendance is 4 seconds. During the data attendance process can transmit between the attendance device (client) and server. Through a fingerprint-based attendance device based on the available wireless network infrastructure in the campus, it can improve the efficiency of attendance monitoring in real time
Perbandingan Akurasi Euclidean Distance, Minkowski Distance, dan Manhattan Distance pada Algoritma K-Means Clustering berbasis Chi-Square
No full textIn data mining, there are several algorithms that are often used in grouping data, including K-Means. However, this method still has several disadvantages, including the problem of the level of accuracy of the methods used to measure the similarities between the objects being compared. To overcome this problem, in this study a comparison was made between three methods (euclidean distance, manhattan distance, and minkowski distance) to determine the status of disparity in Teacher's needs in Tegal City. The results showed that of the three methods compared had a good level of accuracy, which is 84.47% (for euclidean distance), 83.85% (for manhattan distance), and 83.85% (for minkowski distance). In addition, this study also informs that there are still 6 (six) schools with conditions that are very poorly available for teachers (in the category of HIGH disparity labels) and need to get more attention, which is SMP Atmaja Wacana, SMKN 3 Tegal, SMAS Muhammadiyah, SMAS Pancasakti Tegal, SMKS Muhammadiyah 1 Kota Tegal, and SMP IC Bias Assalam
Implementasi Metode Promethee Dalam Sistem Pendukung Keputusan Penilaian Raport Dosen
No full textAssessment of lecturer report cards is a decision-making process using information obtained through measuring the results of lecturer performance by students and administrative completeness of each lecturer. The object used in this study is the Informatics Engineering IV Study Program using the promethee method. The Promethee method is used to obtain a ranking of grades from lecturers. Promethee's method of calculating requires several alternatives and criteria. The alternative used for assessment is the lecturer who teaches in the D IV Informatics Engineering Study Program. The criteria used to assess each alternative are lecturer assessment data by students which includes student assessment input taken from the final score or the average resulting from the questionnaire assessment filled in by students. Administrative appraisal data which includes: syllabus collection, collection of college contracts, modules, number of attendance, timeliness of UTS and UAS collection questions as well as the timeliness of collecting UTS and UAS scores. From this study, the assessment of lecturer report cards was obtained, which also included lecturer rankings based on the scores produced. System testing is done by comparing the results of manual assessment with the results of the assessment produced by the system. Based on the testing that has been done it can be concluded that the results of testing both manually and using the system are the same
Sistem Pendukung Keputusan Kelompok Untuk Menentukan Penerima AGC Award Menggunakan Metode Simple Additive Weighting dan Borda
No full text PT. Astra International continues to develop into one of the leading group of companies in Indonesia. Currenty its manages six core business namely, automotive, financial, services, heavy equipment, mining, agro-business, infrastructure, logistics, and information techonology. In its operations can bring various impact on enviroment quality, such as the avalaibility of natural resources (water, energy and materials), waste generated in the form of solid, fluid, and air. Therefore ESR Division carry out an assessment of the subsidiary programs to minimize the impact. In this research using SAW method to support the decision making of individual decision, and Borda method to support the group decision making and to determine AGC Award recipient. The decision support system model proposed in this study has proven to solve problems that require individual or group decision-making processes
Implementasi Function Point Analysis Untuk Pengukuran Kualitas Situs (Studi Kasus: Alibaba.com)
No full textTo find out about how complex and useful a software is, a measurement needs to be done toward the software itself to found its complexity and its usefulness. From few methods that used for measuring a software, Function Point Analysis is most popular method to do the measurement, which measures a software from its functionality. From this research, three factors that very decisive were calculated, those are Crude Function Points (CFP), Relative Complexity Adjustment Factor (RCAF), and the Function Point (FP) calculation itself. This software measurement marks its end of the research at the point of doing a single transaction with the application. The results that came out with the calculation are Crude Function Points (CFP) with 183, Relative Complexity Adjustment Factor (RCAF) with 31, and the Function Point (FP) itself with 175.86, which shows that this web-based application is quite complex