Jurnal Informatika Universitas Pamulang
Jurnal Informatika Universitas Pamulang (JIUP) adalah jurnal ilmiah berkala yang memuat hasil penelitian pada bidang ilmu komputer dan sistem informasi dari segala aspek baik teori, praktis maupun aplikasi. Makalah dapat berupa makalah technical maupun survei perkembangan terakhir (state-of-the-art) penelitian
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Meminimalkan Sisa Pemotongan Besi Beton dalam Proyek Konstruksi
Bambang Santoso;
Sofyan Mufti Prasetiyo;
Agung Wijoyo
Jurnal Informatika Universitas Pamulang Vol 4, No 2 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang
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DOI: 10.32493/informatika.v4i2.3204
Construction industries are a must in developing countries. Constructions take part in almost every corner of the country. In construction projects, reinforced concrete plays big part in any construction. A long bar of steel are cut into be several lengths to satisfy the requirements of the buildings to be build. In this process, waste cannot be avoided. And the waste of steel bar is very destructive to environment. This research is to find a way to minimize the waste in the process of cutting steel bars. The algorithm used is Greedy Search. Greedy Search is where the optimized solution in every step is taken, in the hope that the overall solution will be optimized for the problem. Optimized solution here is the minimum waste by the steel bar cutting. This will minimize the cost by the construction companies and at the same time preserve the environment.
Analisis Penerapan Algoritma ID3 dalam Mendiagnosis Kesuburan Pria
Khaerul Ma'mur
Jurnal Informatika Universitas Pamulang Vol 4, No 2 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang
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DOI: 10.32493/informatika.v4i2.2274
Men’s fertility disorder is one of difficult thing to be diagnosed, if fertility has a problem, the fertilization process will be disrupted. That’s all to be the most predominant cause of discordant household. Numbers of data on men's fertility are obtained by detailed enough. Secondary data from this dataset, made a reference in making decision tree using the ID3 algorithm in software Rapid Miner. Iterative Dichotomizer (ID3) is used because it is one of the commonly used classification algorithm in Data Mining to implement decisions of some attributes that have been determined in accordance with the data customized with their needs. ID3 algorithm generally calculates the Entropy value of each attribute and the value of the Information Gain of each attribute that are able to form a decision tree that is expected to assist in decision making. The results of the tests and the method can be used to diagnose men’s fertility appropriately with a fairly high degree of accuracy.
Penerapan Teknik Bagging Berbasis Naïve Bayes untuk Seleksi Penerimaan Mahasiswa
Nursimpati, Yum Leifita;
Saifudin, Aries
Jurnal Informatika Universitas Pamulang Vol 4, No 2 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang
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DOI: 10.32493/informatika.v4i2.3235
Students who graduate not on time create an imbalanced ratio between lecturers and students. The current selection system is ineffective because it has not been able to detect prospective students who have the possibility of not being able to complete their education on time so that many students who are accepted do not graduate on time and leave without completing their education. This condition causes a decrease in performance of study programs and institutions. The classification algorithm can use for classifying new students as graduate timely or not. Naïve Bayes classification algorithm can use to classify data in certain classes, using the history of alumni of informatics engineering at Pamulang university as training data and prospective student data as test data. Some attributes used to determine which label class to graduate on time and not on time are gender, school majors, year difference, math grades, English, Indonesian. To improve the results of the classification of Naïve Bayes, Bagging (Bootstrap Aggregating) technique is used. From the test results of the alumni dataset, the informatics study program using bagging techniques as an optimization of the Naïve Bayes classification algorithm has a lower failure rate than without using bagging techniques. The results of the calculation of performance data using bagging techniques can increase accuracy by 2.381% and AUC by 1.470% on the student graduation prediction model for new student selection using the Naïve Bayes classification.
The Design of Monitoring Application Web-Based Quality Control in Utama Raya Motor Industri
Kusyadi, Irpan
Jurnal Informatika Universitas Pamulang Vol 4, No 2 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang
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DOI: 10.32493/informatika.v4i2.2474
This research was made to develop the management of PT. Utama Raya Motor Industri. In monitoring often occur delays in the process of making reports both daily and monthly in the quality control section. Thus it is necessary to improve in the process of making reports both daily and monthly. Therefore, an application program is needed that can be used by web-based admin quality control as a tool in making reports. With the implementation of the monitoring quality control application design at PT. Utama Raya Motor Industry, which has very high processing capabilities and saves memory. So that the company or agency can achieve the goals that have been set optimally and accurately. In this research has been able to provide a web-based quality control monitoring application program at PT. Utama Raya Motor Industri. With this application, admin quality control can monitor quality easily and quickly.
Implementasi dan Analisis Simulasi QOS dan Perfomance Device dengan Menggunakan ONOS dan Iperf3
I Putu Agus Eka Pratama;
I Made Adhiarta Wikantyasa
Jurnal Informatika Universitas Pamulang Vol 4, No 2 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang
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DOI: 10.32493/informatika.v4i2.2730
Internet have evolved so rapidly in this day and age from where user only can access to internet service through cable UTP(LAN) and now user can access it from every where through nirkable (Wireless Network) and from this improvement it caused lots of device connected and heavy traffic coming in and out from a network. Because of this situation the network industry come with a new idea using a new network architecture that known as Software Defined Network (SDN). Software Defined Network (SDN) is a new way to manage, design and implementing network architecture where data flow from the control plane separated from the hardware. Network industry believe that SDN can change the network architecture that people using now that known as Traditonal Network because SDN can overcome the weakness of Tradional network that tend to be closed and distributed can be changed by SDN to be open source, can be programmed and can be controlled centrally. In this research will be implementing and analys simulation Quality Of Service (QOS) and Perfomance device openflow switch using ONOS as controller to monitor the device perfomance and iperf3 as a Quality Of Service testing.
Model Prototype Aplikasi Monitoring Tugas Akhir (MonTA) Mahasiswa pada STTI NIIT
Ristasari Dwi Septiana;
Fajar Septian
Jurnal Informatika Universitas Pamulang Vol 4, No 2 (2019): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang
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DOI: 10.32493/informatika.v4i2.2825
Services for students' final tasks are very important to increase the number of graduates to be achieved by Universities. The problem faced is knowing the progress of the students' final task. The objective of this research was to build an application for monitoring the students' final task using a prototype model at STTI NIIT. The Prototype model in this research used to identify what services should be given to users. The collection of user needs is done by using the business model analysis technique to see the business processes that are occurring. Then build the prototype application model based on the requirements analysis. Function testing in this application is done by black-box testing, all of which functions can run well. Prototype this application can monitor the progress of students' final task. This application also can present consulting services for students' final task.