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Paradigma
ISSN : 14105063     EISSN : 25793500     DOI : -
Core Subject : Education,
Jurnal Paradigma merupakan jurnal di bidang Komputer dan Informatika yang diterbitkan oleh LPPM Universitas Bina Sarana Informatika dan telah memiliki ISSN baik versi cetak maupun online. Jurnal ini berisi tentang karya ilmiah hasil penelitian yang bertemakan: Sistem Pakar, Sistem Informasi, Web Programming, Mobile Programming, Games Programming, Data Mining, dan Sistem Penunjang Keputusan.
Arjuna Subject : -
Articles 245 Documents
Implementasi Data Mining Menentukan Game Android Paling Diminati Dengan Algoritma Apriori Yulianti, Yulianti; Utami, Dwi Yuni; Hikmah, Noer
Paradigma - Jurnal Komputer dan Informatika Vol 21, No 1 (2019): Periode Maret 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.618 KB) | DOI: 10.31294/p.v21i1.4941

Abstract

Abstract - Game play at this time is greatly increased among children, teenagers and Parents . various types of games continue to emerge and steal the hearts of enthusiasts. he role of the game quite effective to eliminate saturation, fatigue, sadness, or just want to fill the free time, From starting paid games to free games. To meet The  desire of gamers needs to be made an information So that fans can find out. A priori algorithm includes the type of association rules in Mining data. One stage of association analysis, which attracts many researchers to produce an efficient algorithm is the analysis of high frequency patterns (frequent pattern mining). Important or not a buffer association that is known by two benchmarks, namely: support and confidence. Support (support value) presents a combination of items in the database, while confidence (recognition capacity) is a strong correlation between items and a priori algorithm association rules can help determine specialization in a class or group. It can be concluded that the algorithm can facilitate the researcher apriosi to produce output that is measured accurately with the value of the value that has been set. The game support support value is 50%, and the results of the study can produce 80% confidence value for game Shadowrun (Dragonfall) dah Knight of pen & paper 2 , while for game women the support value is 50% and the results of the research can be 66,7% for game Candy Crush Saga and other games in demand. From these data it is stated that more men like game-and-woman games. Keywords: specialization, game type, priori algorithmi
Perancangan Sistem Informasi Pemerintahan Berbasis Web Studi Kasus Kantor Kelurahan Sumur Batu Ferdiyanto, Yusriel Arief
Paradigma - Jurnal Komputer dan Informatika Vol 21, No 1 (2019): Periode Maret 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (47.73 KB) | DOI: 10.31294/p.v21i1.5268

Abstract

Nowadays, in globalization era information technology is advancing rapidly. Computers are equipment that was created to facilitate human work, currently achieving progress both in hardware and software. Kelurahan Sumur Batu requires an information system that supports and provides information services that are satisfying for information seekers. Kelurahan Sumur Batu is one of the smallest units of the DKI Jakarta Government which has an important role in conveying the vision and mission of the DKI Jakarta Government. The design of information systems is the best solution to solve the problem of lack of information for the people in Kelurahan Sumur Batu. With the existence of a web-based Government Information System, the information obtained will become more attractive, faster and easily accessible to many people.
ANALISA MANFAAT PENERAPAN E-COMMERCE PADA PERUSAHAAN RITEL Siahaan, Fernando B.
Paradigma - Jurnal Komputer dan Informatika Vol 13, No 1 (2011): Vol. 13 Nomor 1, Maret 2011
Publisher : AMIK BSI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v13i1.3419

Abstract

Currently the competition that occurs particularly in retail sales is quite high, is marked with the number of stores popping or companies selling similar goods. This will certainly affect the number of opinions that will be obtained by each store or company. High competition is certainly going to result in two risk of profit (profit) or loss, if the profit will certainly survive, but if the loss it will be out of business, aka bankrupt. For the second risk is loss of course all companies do not want it, then how to survive and be able to generate profit? This is certainly needed a sales strategy that is right and healthy. One way is to implement e-commerce in marketing the goods or products a company has, so the purpose of this research is to benefit from the implementation of e-commerce in retail establishments. In this research used qualitative methods is to perform an in-depth interviews of business actors in the market and sell their wares. The results of this study was an increase of the number of customers on the company, and increased corporate profits. The conclusion was that implementation of e-commerce on the companys strategy to gain a competitive advantage where the company remained in existence until today. Keywords: e-commerce, customer, bisnis strategic
OPTIMASI NEURAL NETWORK MENGGUNAKAN GENETIC ALGORITHM UNTUK PREDIKSI PENYAKIT DIABETES AMALIA, HILDA
Paradigma - Jurnal Komputer dan Informatika Vol 17, No 2 (2015): Periode September
Publisher : AMIK BSI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.042 KB) | DOI: 10.31294/p.v17i2.751

Abstract

leading to death . People suffering from this disease are unaware that they suffer from diabetes. early detection is required in order to avoid the risk of more severe complications and risk of death. Today many data mining applications are applied to solve problems in the medical world. The ability of data mining is very important that one of them is generating the prediction and classification, the ability to make a prediction and classification makes data mining became popular in the world of health. Results obtained from the processing of data mining can be used as new knowledge to predict adverse health events in the future that can be overcome. In this research will be to improve the accuracy of the method optimization value nerutal network using genetic algorithm optimization method. The value of diabetes dataset processing accuracy by using a neural networkt is 74.46% while the value of accuracy by using a neural network optimization algorithm genetich is 77.10%.
PENYELESAIAN SENGKETA E-COMMERCE MELALUI ARBITRASE DI INDONESIA Notoseputro, Naba Aji
Paradigma - Jurnal Komputer dan Informatika Vol 9, No 1 (2007): Periode Januari
Publisher : AMIK BSI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v9i1.1147

Abstract

Perkembangan komputer dan teknologi informasi yang demikian pesatnya yang berdampak pada hampir pada seluruh sistem dan tatanan kehidupan masyarakat, termasuk pula sistem perdagangan dunia, tetapi disisi lain dampak tersebut juga berakibat pada masalah-masalah hukum yang berkaitan perkembangan perdagangan melalui elektronika (e-commerce) sebagai cara perdagangan baru.  Penanganan untuk sengketa-sengketa perdagangan elektronik (e-commerce) baik itu Business to Business (B2B) atau Business to Costomer (B2C), untuk di Indonesia proses dengan arbitrase dianggap lebih baik dikarenakan lebih fleksibel, lebih efektif dan efisien karena arbitrase tidak terikat kepada formalitas seperti pengadilan biasa. Untuk pengaturan tentang arbitrase, di Indonesia telah ada Undang-Undang Nomor: 30 Tahun 1999 tentang Arbitrase dan Alternatif Penyelesaian Sengketa, dimana putusan arbitrase asing pun dapat dijamin keberadaannya, sehingga sengketa-sengketa yang berkaitan dengan e-commerce dan terkait dengan pihak asing dapat dijamin pelaksanaannya (enforcement) di Indonesia.
IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING UNTUK SISTEM PENDUKUNG KEPUTUSAN PROMOSI KENAIKAN JABATAN malau, Yesni
Paradigma - Jurnal Komputer dan Informatika Vol 19, No 1 (2017): Periode Maret
Publisher : AMIK BSI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (720.061 KB) | DOI: 10.31294/p.v19i1.1409

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Kesuksesan sebuah perusahaan dalam mengelola SDM dengan baik dapat dilihat dari berbagai faktor yang salah satunya adalah jumlah arus keluar masuknya karyawan diperusahaan tersebut. Mempertahankan karyawan berprestasi merupakan hal yang wajib dilakukan oleh perusahaan karna SDM merupakan salah satu asset penting dalam proses bisnis perusahaan. Pemberian reward  berupa promosi kenaikan jabatan kepada karyawan berprestasi  akan menjadi motivator  bagi karyawan tersebut untuk terus bekerja dan memberikan yang terbaik bagi perusahaan.  Kendala yang sering terjadi dalam sistem penilaian  karyawan berprestasi adalah karna  indikator penilaian yang tidak jelas dan tidak transparan sehingga menimbulkan kecemburuan sosial,  dan sering kali karyawan merasa bahwa hasil penilaian untuk keputusan pemberian promosi kenaikan jabatan bagi karyawan dianggap tidak adil.  Sistem pengambilan keputusan dengan menggunakan Metode Simple Additive Weighting diharapkan dapat menjadi solusi akan permasalahan tersebut karena Metode  Simple Additive Weighting menentukan nilai bobot untuk setiap atribut, kemudian dilanjutkan dengan proses perankingan yang akan menyeleksi alternatif terbaik dari sejumlah alternatif yang ada. Dan untuk memudahkan User dalam menerapkan metode Simple Additive Weighting sehingga kesalahan hitung yang disebabkan oleh human error dapat dihindari  maka  dibutuhkan sebuah aplikasi pemrograman yang mengimplementasikan metode Simple Additive Weighting didalamnya, sehingga output yang dihasilkan akurat, efektif dan efesien.
KOMPARASI ALGORITMA C4.5 DAN SVM BERBASIS PARTICLE SWARM OPTIMAZATION DALAM PENENTUAN KREDIT Rahmatullah, Syaifur
Paradigma - Jurnal Komputer dan Informatika Vol 18, No 1 (2016): Periode Maret
Publisher : AMIK BSI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (465.714 KB) | DOI: 10.31294/p.v18i1.877

Abstract

Bad credit is one of the credit risk faced by the financial and banking industry. Bad credit happens if in the long run, financial institutions or banks can not attract loans within a predetermined time. Bad credit has a negative effect on credit providers in the form of risk of loss course this should not be allowed to drag on and had to find a way out. However, to ensure accuracy in the determination of credit worthiness required an accurate algorithm. Therefore, there should be a study that aims to find an algorithm that accurately by means mengkomparasi some of them C4.5 algorithm, and SVM. To further improve the accuracy of the algorithms are in Particle Swarm Optimization with Optimazation. Berupan confusion matrix research results prove the accuracy of Support Vector Machine-based Particle Swarm Optimazation exists at the level of accuracy of 96.20% and the AUC by 0989.
ANALISIS PENERIMAAN RAIL TICKET SYSTEM PADA PT. KAI DENGAN MENGGUNAKAN MODEL UTAUT Malau, Yesni
Paradigma - Jurnal Komputer dan Informatika Vol 18, No 2 (2016): Periode September
Publisher : AMIK BSI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (195.916 KB) | DOI: 10.31294/p.v18i2.1184

Abstract

Rail ticket system is a train ticket booking system online that have been implemented by PT.KAI. To find out how far the success rate of acceptance of rail ticket system for the users of transport services, PT.KAI needs to test the rail ticket system. Tests conducted to determine the factors that influence user acceptance rail ticket system. Testing model in this study is using a model of the Unified Theory of Acceptance and Use of Technology (UTAUT), this model to analyze the influence of performance expectancy (expectation of performance), effort expectancy (expectation of business) and social influence (social factors) on behavioral intention (intention utilization) and the effect of facilitating conditions (conditions that facilitate) and behavioral intention (intention utilization) to use behavior (behavioral usage) on a rail ticket system. Based on this study will be known factors that influence the behavioral intention and use behavior and the factors that do not affect the behavioral intention. With the research is expected to provide recommendations were appropriate and beneficial for PT. KAI in developing online train ticket booking system in the future. Based on the obtained data processed Fvalues of 5.175 and 3.09 Ftable this means Fvalues> Ftable with a significant level of 0,000 F below 0.05 that is jointly independent variable performance expectancy, effort expectancy and social influence significantly influence the dependent variable behavioral intention. The amount of independent influence performance expectancy, effort expectancy and social influence views on the value of R square of 0.139 Retrieved value Fvalues 8.303 and Ftable by 3.94 this means Fvalues> Ftable with a significant level of 0.000 is below 0.05, it indicates that is jointly variable Facilitating Conditions and Behavioral Intention significantly affect Behavior Use variables, the influence of the independent performance expectancy, effort expectancy and social influence can be seen where the value of R square of 0.146. With this research is expected to provide recommendations which are appropriate and beneficial for PT. KAI in developing online train ticket booking system in the future.Key Words : Rail ticket system, UTAUT, SPSS
Pemilihan Penerima Beasiswa Menggunakan Metode Profile Matching Junaidi, Agus; Visella, Fany
Paradigma - Jurnal Komputer dan Informatika Vol 19, No 2 (2017): Periode September 2017
Publisher : AMIK BSI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.522 KB) | DOI: 10.31294/p.v19i2.2227

Abstract

To help in establishing the determination of students eligible scholarship then needed an analysis relating to anyone students who receive scholarships.One method for analysis of this decision is to use a matching profile. This method was chosen because it can help as a decision supporting the granting of scholarships to students who deserve it. This method also provides information in the form of data which students qualify for scholarships so that motivates their efforts in making the learning process in schools. Research done by the academic aspect of assessment on criteria, aspects of personality, and economic aspects of the family which include the average income a month, dependent parents, and vehicles. After this method is then determined aspects will find the difference (gap) between the profile with the State data from the students and further specified percentage of both aspects and elements together and then do a rank process will determine the optimal alternative, i.e. students who deserve a scholarship. Using profile matching then the process of determining which students will get scholarship can be done quickly and accurately.
PENERAPAN ALGORITMA K.MEANS UNTUK PENENTUAN PENCOCOKAN PEWARNAAN CLUSTERING SECARA OTOMATIS PADA PRODUK FASHION Elyana, Instianti
Paradigma - Jurnal Komputer dan Informatika Vol 17, No 1 (2015): Periode Maret
Publisher : AMIK BSI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.035 KB) | DOI: 10.31294/p.v17i1.739

Abstract

Many the needs of the people especially to find products fashion being suitable and appropriate using a web to the needs of user but many web market products fashion make levels color is needed to looking for a match with the skin and the proportion of the body .The need for the measurement of levels color for it was very needed to search products fashion required with classifications uses the method algorithm k-means to get accuracy color being suitable and to clustering staining approaching search products fashion for example by color selection to model suit that in conformity with the wish .It is expected that with this research will help the people to determine match use of color in the fashion desired .The research results show that this method can reduce ketidakakuratan 25 % , so that color later is produced and same in image color will look homogeneous and this study shows the percentage Failure or error rate by more or less under 20 %.

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