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Jurnal Informatika Universitas Pamulang
Published by Universitas Pamulang
ISSN : 25411004     EISSN : 26224615     DOI : https://doi.org/10.32493
Core Subject : Science,
Computer Science & IT
Jurnal Informatika Universitas Pamulang is a periodical scientific journal that contains research results in the field of computer science from all aspects of theory, practice and application. Papers can be in the form of technical papers or surveys of recent developments research (state-of-the-art). Topics cover the following areas (but are not limited to): Artificial Intelligence Big Data Business Intelligence Data mining Decision Support Systems Intelligent Systems Machine Learning Network and Computer Security Optimization Pattern Recognition Soft Computing Software Engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 625 Documents
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Implementasi Sistem Penunjang Keputusan Dalam Pemilihan Calon Team Leader Menggunakan Metode Simple Additive Weighting (SAW) Purba, Ade Rizki Sariaman; Kusumaningsih, Dewi
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.8501

Abstract

So far, the selection of prospective Team Leaders in companies is still manual so it is not in accordance with the standard operating procedures for selection. The system designed in this study aims to ensure the accuracy of HRD in selecting candidates Team Leader to match the expectations of the company itself. From the comparison of the methods that have been carried out by researchers, themethod is the Simple Additive Weighting (SAW)right choice and the researcher will implement it with the provisions of the criteria that have been set including, Communication,  Problem Solving Skills, Time Management, English, Achievement. To build this system, researchers used the programming languages PHP and MySQL. From the calculation of the level of accuracy, manual calculations get a percentage of 86.6% while the calculation with the proposed system achieves the maximum result with a percentage of 100%. It can be concluded that the calculation with the system is able to determine a suitable candidate as a Team Leader very accurately and on target.
Rancang Bangun Sistem Informasi Akademi: Modul Sistem Absensi Berbasis Mobile dan Web pada Universitas Universal Gulo, Johanes Try Oktavianus; Febrianti, Eka Lia; Simalango, Holong Marisi
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6714

Abstract

The academic information system that focuses on the attendance module is a continuation of the manual attendance that imposes the use of attendance papers that are paraphrased by students. Attendance modules at Universal University can be designed utilizing Internet technology and network, where students only use smartphones to scan Quick-Response Code (QR Code) and web-based applications for lecturers to verify attendance. The attendance module is designed using real-time data processing. The software process Model used is the waterfall model and assisted with analysis using Unified Modelling Language (UML). The design of the application uses the PHP programming language for Web applications and Java for mobile applications, as well as databases using MySQL. The result of the design of the build attendance module in the form of a mobile application for use by students who can scan QR Code as attendance, and a Web application to be used by the lecturer as an attendance verification that has scanned QR Code and students who are not present. Attendance is more effective online when compared to manual attendance.
Estimasi Carrier Ferquency Offset menggunakan Timing Metric pada Sinyal OFDM Sari, Yolen Perdana; Tassia, Shelvi Eka
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.6725

Abstract

OFDM is one of technology that can be utilized in a variety of telecommunication systems that being widely developed today, for application in LAN, WLAN, 3G, 4G,  or  5G. One of the problem faced by the OFDM technology that its sensitivity to Carrier Frequency Offset (CFO) and the lack of synchronization in the OFDM signal. This research aims to design the synchronization that estimates Carrier Frequency Offset (CFO) to obtain synchronization of OFDM signal, where the error of the estimated Carrier Frequency Offset can be obtained, minimized and better than previous studies. The CFO estimation method  in this research is using the training symbol on the OFDM symbol and utilize the statistical characteristics of the timing metric. This researchs result shows the Mean Square Error (MSE) of estimated Carrier Frequency Offset to Carrier Frequency Offset input, with range MSE 9.43 x 10-3 at 0 dB SNR input and MSE 1.687 x 10-5 at 30 dB SNR input. If Signal to Noise Ratio is greater, then the value of the mean square error (MSE) will be smaller. The position of the timing metric for timing estimation also affects to CFO estimation. CFO estimation accuracy will be maximized when using maximum timing metric.
Perancangan Aplikasi Penghargaan dan Peningkatan Kinerja Karyawan pada POLSEK Sawah Besar Berbasis Java dengan Metode Simple Additive Weighting (SAW) Ariyani, Lusi
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6657

Abstract

The Indonesian National Police Institution has issued a policy of Chief of Police Regulation Number 16 of 2011 concerning the Civil Servant Performance Assessment System at the National Police with a Performance Management System. In Indonesia, which is competency-based, it is necessary to provide an assessment based on performance standards in an objective, transparent and accountable manner in order to encourage achievement, productivity, dedication and work loyalty. Performance appraisal is a process to measure employee work performance based on work standards that have been set for a certain period. These work standards can be made both qualitatively and quantitatively, one of which can use the SAW method. The definition of the SAW (Simple Additive Weighting) is a way or method to find the weighted sum of the performance ratings in a company or organization. The SAW (Simple Additive Weighting) method is a system used to identify and measure the performance of employees at the National Police so that it is aligned with the organization's vision and mission. The SAW (Simple Additive Weighting) method can be useful in the performance assessment system at the Polsek Sawah Besar because this method has a high level of assessment accuracy.
Aplikasi Pembelajaran Kesehatan bagi Masyarakat pada Puskesmas Kecamatan Kemayoran Berbasis Web dengan Moodle Zakiyah, Dini; Nurin, Resza Manzilina
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.8227

Abstract

District Health Center of Kemayoran is one of the medical institutions that provide health services 24 hours to the community, especially those residing in the district of Kemayoran. The center often conducts activities such as socialization or counseling to increase public knowledge regarding the importance of maintaining health. Puskesmas is not enough to provide health care only through direct socialization. This is because of the limited time and place to convey health information and not all people follow the socialization because it has other activities that they cannot live. This research aims to produce a health information application that can be learned electronically that can provide learning about health-related symptoms and how to prevent an illness to the community. The research was developed using the waterfall method with Unified Modeling Language (UML) modeling. The result of this research is a health information application that can provide health learning to the community so as to increase the willingness of healthy life independently.
Sistem Prediksi untuk Menentukan Jumlah Pendaftaran Mahasiswa Baru pada Unversitas Catur Insan Cendekia Menggunakan Metode Least Square Muhadzdzab, Humam; Asfi, Marsani; Putri, Tiara Eka
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6598

Abstract

The prediction system for determining the number of prospective new students aims to make decisions and prioritize how many new students will be accepted and as a means of enthusiasts for the most study program trends each year, in making a prediction system, a method for good calculations is needed, so it is necessary method for the prediction system. This prediction system uses the Least Square method for the calculation of prediction results for system design carried out with an object-oriented approach using UML. The computer-based system built is web-based using the programming languages PHP and MySQL. From this research, the Least Sqaure method can be implemented to calculate predictions to determine the number of prospective new student registrations and to help the secretariat staff in the admissions section to find out the most interest in the study program each year.
Sistem Forecasting Keuangan Inventaris Sarana dan Prasarana dengan Metode Naive Approach pada Universitas CIC Wibawa, Sakti; Sokibi, Petrus
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.6819

Abstract

University Catur Insan Cendekia (UCIC) is a university located at Kesambi street number 202 Cirebon city. As one of the new universities in Cirebon city of course, would need inventory records of facilities and infrastructure that’s what at the university. Additionally, records spending on facilities and infrastucture costs is important. To optimize that cost recording requires a system. To Improve management facilities and infrastructure requires data related to facilities conditions and infrastructure. Naïve’s own method was the result of his prediction of the previous year’s real data as a benchmark for forecasting the following year. The process of this method is to collect the data of the cost of facilities and infrastructure spending first, after which the system will predict the cost of facilities and infrastructure using the formula N= t-1, in addition to this web based research using the framework codeigniter. The forecast method conducted in the study using the naïve approach method, which is more effective than the moving average method. Naïve’s method was used to predict the cost data of facilities and infrastructure available at UCIC. The study also had the naïve approach prediction reached the following year’s prediction.
Analisis dan Desain Sistem Pendukung Keputusan Penilaian Kinerja Pegawai dengan Metode Analytical Hierarchy Process (AHP) Taufiq, Rohmat; Sulkhan, Sulkhan; Yulianti, Yulianti; Saifudin, Aries
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.6775

Abstract

The decision support system (DSS) for employee performance appraisal is a decision support system used in the employee performance appraisal process at PT. Surya Toto Tbk. Currently, the employee performance appraisal process is still done manually (paper based) so that the reports produced are not real time. From the existing problems, this research aims to analyze and design a decision support system according to the existing criteria using the Analytical Hierarchy Process (AHP) method with the aim of being able to be developed into a Web-based DSS. The method used begins with communication with management, especially the perpetrators of employee performance appraisals. Furthermore, planning, data collection process, analysis, design and finally making reports are carried out. The conclusion of this study provides a suggestion for the addition of subcriteria from the existing criteria. After calculating with AHP, the value that appears for the work outcome criteria (A) on the quantitative subcriteria A11 with a score of 0.123, qualitative A12 with a score of 0.033, delivery A13 with a score of 0.024 and Implementation of SOP A14 with a score of 0.018. The score is for a very good value (BS).
Analisis Perbandingan Model Matrix Factorization dan K-Nearest Neighbor dalam Mesin Rekomendasi Collaborative Berbasis Prediksi Rating Prayogo, Janny Eka; Suharso, Aries; Rizal, Adhi
Jurnal Informatika Universitas Pamulang Vol 5, No 4 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i4.7379

Abstract

Rating is a form of assessment of the likes or dislikes of a user or customer for an item. Where the higher the rating number given, the item is preferred by customers or users. In the recommendation engine, a set of ratings can be predicted and used as an object to generate a recommendation by the Collaborative Filtering method. In the Collaborative Filtering method, there is a rating prediction model, namely the Matrix Factorization and K-Nearest Neighbor models. This study analyzes the comparison of the two prediction models based on the value of Mean Absolute Error (MAE), Root Mean Squared Error (RMSE) and the prediction results generated using the movielens film rating dataset. From the analysis and testing results, it was found that MAE = 0.6371 and RMSE = 0.8305 for the Matrix Factorization model, while MAE = 0.6742 and RMSE = 0.8863 for the K-Nearest Neighbor model. The best model is Matrix Factorization because the MAE and RMSE values are lower than the K-Nearest Neighbor model and have the closest predicted rating results from the original rating value.
Penerapan Least Squares Support Vector Machines (LSSVM) dalam Peramalan Indonesia Composite Index Andri Triyono; Rahmawan Bagus Trianto; Dhika Malita Puspita Arum
Jurnal Informatika Universitas Pamulang Vol 6, No 1 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i1.10237

Abstract

In the era of very rapidly advancing technology like today, both internet technology and computerization have made various corporate agencies or investors start thinking about the importance of the stock market in their capital division. Previously there were various purchases by the company's capital, such: gold, land, buildings, production machines, but at this time the purchase of capital shares should also start to attract attention and these purchases are legal investments. Various kinds of company shares that are sold can already be seen through the internet and it is very easy and attractive for companies that will make capital purchases, even the model can be chosen for both long-term and short-term capital purchases. This stock price forecasting system using the Least Squares Support Vector Machines (LSSVM) method will be very popular with investors to help determine conclusions for buying shares because it can reduce losses or even make the right decisions so that it will increase profits for investors or companies. Least Squares Support Vector Machines is a simpler model and has been modified from the previous model, namely: Support Vector Machines (SVM) method. Solving linear equations can be solved in a simpler way using LSSVM compared to using SVM. The variable used in the network is the close price variable. The kernel that used for this study is the RBF kernel. This study consists of three phases or stages. The first stage uses 400 historical data rows, second stage uses 800 historical data rows, and the third stage uses 1200 rows of data. This research obtains the best result of accuracy in the third stage. The third stage has the smallest MSE value: 0.00025248 by using 1200 rows of historical data.

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