cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sopiyan Dalis
Contact Email
sopiyan.spd@bsi.ac.id
Phone
+6281380852868
Journal Mail Official
jurnal.paradigma@bsi.a.cid
Editorial Address
Jl. Kramat Raya No.98, Kwitang, Kec. Senen, Kota Jakarta Pusat, DKI Jakarta 10450
Location
Kota adm. jakarta barat,
Dki jakarta
INDONESIA
Paradigma
Published by Universitas Bina Sarana Informatika
ISSN : 14105063     EISSN : 25793500     DOI : http://dx.doi.org/10.31294/p
Core Subject : Science,
Computer Science & IT
The first Paradigma Journal was published in 2006, with the registration of the ISSN from LIPI Indonesia. The Paradigma Journal is intended as a media for scientific studies of research, thought and analysis-critical issues on Computer Science, Information Systems and Information Technology, both nationally and internationally. The scientific article refers to theoretical review and empirical studies of related sciences, which can be accounted and disseminated nationally and internationally. Paradigma Journal accepts scientific articles research at: Expert Systems, Information Systems, Web Programming, Mobile Programming, Games Programming, Data Mining, and Decision Support Systems.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 347 Documents
 25   26   27   28   29 
Pengukuran Layanan Pada Aplikasi Mobile JKN Menggunakan Metode Servqual Andi Saryoko; Hendri Hendri; Sulaeman Hadi Sukmana
Paradigma Vol 21, No 2 (2019): Periode September 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (211.151 KB) | DOI: 10.31294/p.v21i2.5412

Abstract

The Indonesian people in registering as members of the BPJS for Health can now be done in several ways: 1) registration by coming directly to the nearest BPJS office, 2) being able to register online on a computer, internet connected laptop on the https: / page /daftar.bpjs-kesehatan.go.id/ or 3) register online on the JKN mobile application with a smartphone or mobile. Research to analyze the level of community satisfaction with BPJS Health online registration on the JKN mobile application by applying the servqual method. In registering BPJS Health members online, the application provider must be able to give full attention to service quality (SERVQUAL). In the context of measuring service quality variables, Parasuraman, Zeithaml and Berry (1998) identified five dimensions of service quality measures including: Reliability, responsiveness, Assurance, Direct evidence (Tangibles), and Empathy (Empathy). This study aims to examine the level of satisfaction of BPJS Health members towards online registration services at BPJS Health especially for the Jakarta area by applying the SERVQUAL method, and to find out what factors should be prioritized on online registration with the JKN mobile application in order to meet community expectations. From this scientific research, it is hoped that it can be published in one of the national journals and can be announced at the National scientific meeting.
Penerapan Algoritma Apriori Terhadap Data Penjualan Di Swalayan Koperasi Bappenas Jakarta Pusat Siti Aisyah; Normah Normah
Paradigma Vol 21, No 2 (2019): Periode September 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (47.595 KB) | DOI: 10.31294/p.v21i2.6205

Abstract

Supermarkets are a place to supply daily necessities ranging from nine basic commodities to household needs. Every day there are several sales transactions, which that data will increase continue. Usually these sales data are only used as store archives, actually in sales data there are information that can be used to find out the most sales simultaneously so that a method is needed to find out which products has selling well using apriori algorithm and tools rapid miner help. From the results of analyzing the sales data, consumers who conduct basic needs product transactions obtained from the purchase of dominating item combinations are a combination of Indocafe Jar 200g and Kapal Api 165g items with the highest support value of 0,213. Then, the buyers of item combination which dominates Max Creamer 450gr item and Kapal Api 165gr confidence value are 0,958 and the buyrs combination of Gulaku Kuning and Kapal Api 165g support value are 0,259 From these results, concluded every consumer buys Indocafe Jar 200g there is an indication that consumers will also buying Api Kapal Api 165gr as well as Gulaku Kuning with Kapal api 165g and Max Creamer 450gr and Kapal Api 165gr. 
KOMPARASI ALGORITMA KLASIFIKASI DATA MINING DALAM PENENTUAN RESIKO KREDIT PADA KOPERASI SERBA USAHA Nandang Iriadi
Paradigma Vol 15, No 2 (2013): Periode September 2013
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.546 KB) | DOI: 10.31294/p.v15i2.6349

Abstract

Growth and development of the cooperative lately , where lending credit cooperatives thatcater to its members to develop business in the workshop , stores , services and so on . No doubt ,lend funds to member cooperatives will surely emerge problems , such as members of theborrower paying the overdue installment of funds , misuse of funds for other purposes , thecustomer fails to develop its business so as to result in cooperative funds do not flow or it can leadto bad credit . In this study, using the method of comparison between the three models , namelyNaive Bayes , Neural Network and k - nearest neighbor , the cooperative member data todetermine which is the most accurate method for determining credit risk in business cooperativesthat will produce cooperative members who pay installments smoothly or delinquent in thepayment of the loan installments . From the results of the study to measure the performance of thethree algorithms using the test method validation . Matrikx confusion , note that the k - nearestneighbor method has the highest accuracy value of 93.00 % , for the Naive Bayes method has anaccuracy value of 90.33 % , while the method which has the lowest value is the Neural Networkmethod has an accuracy value of 85.67 % . As for the value of Area Under the Curve ( AUC ) forthe k - nearest neighbor method has the highest score is 0989 , Naive Bayes method is 0.619 ,while the lowest value method with the method of Neural Network 0.467 .Keywords : comparison , naive Bayes , neural network , k - nearest neighbor .
Evaluasi Faktor Keberhasilan Sistem Informasi Transportasi Online Berbasis Mobile Dalam Perspektif Kepuasan Pelanggan Verry Riyanto; Susy Rosyida; Ridwansyah Ridwansyah
Paradigma Vol 21, No 2 (2019): Periode September 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2215.943 KB) | DOI: 10.31294/p.v21i2.6449

Abstract

Abstract  - One of the most important sectors in determining the success of the development process in developing countries is transportation. Existing transportation such as land, air and sea transportation. Of the three types of transportation, in Indonesia, the fastest development of island transportation. The rapid growth of transportation is evidenced by the increasing number of motorcycle transportation by 7.40% per year. This amount is supported by factors in the development and utilization of information technology that is increasingly growing in Indonesia. Behind that, it turns out there is support from the many companies developing technology to build transportation applications. As with online transportation that can provide land transportation facilities only by utilizing smartphone technology. The development of online transportation is one of the important factors in the use of transportation vehicles in Indonesia. Previous transportation has the facilities and infrastructure in the use of transportation is still minimal, namely the lack of providing services to the community so that people do not feel satisfied. Therefore, we conducted a study to evaluate the success factors of using land transportation from an online transportation application in the perspective of customer satisfaction using the AHP method that can overcome complex, unstructured problems such as expert thought, from the results obtained by the main factors that are very influential with the success of an application can be seen from the level of technological confidence of the application.Keywords: Success Factors, Customer Satisfaction.
Teknik Adaptive pada Modulasi Delta Djadjat Sudaradjat
Paradigma Vol 21, No 2 (2019): Periode September 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (763.856 KB) | DOI: 10.31294/p.v21i2.5632

Abstract

DM (Delta Modulation) is one of the waveform coding methods that converts analog waveforms into digital waveforms, by encoding binary numbers 1 when analog waveforms rise, and encodes binary numbers 0 when analog waveforms drop, and if analog waveforms are flat will be encoded binary numbers 1 and 0 alternately. So that the row of binary numbers 1 and 0 will show the fluctuation of the analog signal form. Problems faced in Delta Modulation when the ups and downs of analog waveforms are too steep or too tilted so that analog waveform changes cannot be followed, there will be slope overload noise, which causes SNR (Signal to Noise Ratio) to shrink because it is unable follow the analog wave changes which are too high to produce a large noise. For this reason, Adaptive techniques are made, so that excess can be avoided, thereby reducing the Noise and SNR expected to be obtained. ADM (Adaptive Delta Modulation) reduces load tilt errors, and seeks to increase dynamic range. Adaptive algorithms adjust the step size (from various step sizes) to the signal power level and thus increase the dynamic range of the coding system. This paper discusses Delta Modulation techniques for increasing SNR with ADM techniques, as well as performance comparisons between DM and ADM.
FAKTOR-FAKTOR YANG MEMPENGARUHI KESIAPAN DAN PENERIMAAN TEKNOLOGI PADA SISTEM UJIAN ONLINE Popon Handayani
Paradigma Vol 15, No 2 (2013): Periode September 2013
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.281 KB) | DOI: 10.31294/p.v15i2.6341

Abstract

Online Examination System is highly prevalent among all education. One of the private collegesthat participate realize is STMIK NUSA MANDIRI. Implemented in reaction to the self-users, inthe form of acceptance or rejection. Acceptance of a technology is strongly influenced by thereadiness of the users of these technologies, it has been demonstrated empirically by Walczuch etal (2007). Adapting from these studies and research supporting the study entitled "Study ofPreparedness and Acceptance Testing System Technology Online: A Case Study STMIK NusaMandiri" aims to examine whether students in STMIK Nusa Mandiri Jakarta already has thereadiness and receive technologies on a system put in place. The model used to describe therelationship of the factors that affect the readiness and use Google Docs app is ReadnessTechnology Index (TRI) in the Technology Acceptance Model (TAM) by using the research methodof Structural Equation Modeling (SEM) on software analisys of Moment Structure (AMOS)version 21.0.Keywords: TRI, TAM, Online Examination System, SEM, dan AMOS
Klasifikasi Jenis Buah Apel Menggunakan Metode Orde 1 dengan Algoritma Multi Support-Vector Machines Rizky Ade Safitri; Siti Nurdiani; Dwiza Riana; Sri Hadianti
Paradigma Vol 21, No 2 (2019): Periode September 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.202 KB) | DOI: 10.31294/p.v21i2.6526

Abstract

Apel merupakan jenis buah-buahan dimana memiliki beragam jenis warna pada kulitnya tersendiri, ada yang berwarna merah, hijau maupun warna kuning. Buah apel juga memiliki banyak jenis dan mudah ditemukan dalam negeri maupun di luar negeri. Setiap jenis buah apel memiliki ciri yang berbeda sehingga akan diperoleh pendapat yang berbeda oleh setiap individu yang menyebabkan tingkat akurasi yang berbeda. Teknologi klasifikasi saat ini dapat digunakan untuk membantu proses pemilahan tersebut. Penelitian ini menggunakan metode orde 1 dengan algoritma multi SVM yang bertujuan untuk pengenalan pola buah apel menggunakan analisis tekstur pada citra grayscale dan ekstraksi fitur warna pada citra warna. Hasil ekstrasi fitur akan menjadi input bagi multi SVM untuk mengklasifikasikan jenis apel. Data yang digunakan pada penelitian ini adalah dari 50 citra, yang terdiri dari 35 citra data latih  dan 15 data uji. Hasil akurasi metode ini mencapai tingkat akurasi hanya sebesar 86%.
Pembangunan Sistem Informasi Pemberian Kredit Pada Koperasi Mekarsari Dengan Metode Rapid Application Development Nur Hidayati; Ety Nurhayaty
Paradigma Vol 21, No 2 (2019): Periode September 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (93.167 KB) | DOI: 10.31294/p.v21i2.6279

Abstract

The cooperative is a business entity that is very well known by pro people, because the cooperative is group of individuals who run its business based on family principle, Pancasila and the Undang-Undang 1945. The cooperatives development in Indonesia indicates a positive trend and known by the public. One of them is Cooperative Mekarsari. This filled Mekarsari cooperative is getting better every day. Cooperative Mekarsari provided many services to members, one of them is about the granting of credit or loans. Granting of credit given is usually devoted to the retirement, although not close the possibility of members who are not retired can ask loan. However, data processing in granting credit Cooperative Mekarsari is still done manually, giving rise to some problems, such as the granting of credit or loans still recorded using handwritten into the book loans, still merge the recording of data between loan and installment, there is no limitation work space that allows the data become no secret. By looking at it, then this requires the existence of a Cooperative system to facilitate development in the processing of the data and provide services to its members. And to assist in the process of developing such a system, it is necessary to use an appropriate method, i.e. the Rapid Application Development  method. The expected results of this form system development,  program application is expected to resolve the existing problems in Cooperative Mekarsari. Keywords: program application, cooperation, RAD, loan
PENGARUH KUALITAS LAYANAN TERHADAP KEPERCAYAAN DAN NIAT PELANGGAN UNTUK MELAKUKAN TRANSAKSI E-COMMERCE Sidik Sidik
Paradigma Vol 15, No 2 (2013): Periode September 2013
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.862 KB) | DOI: 10.31294/p.v15i2.6350

Abstract

The purpose of this study is to analyze the influence of service quality that consists oftangible, reliability, empaty, responsiveness and assurance webstore on trust (trust) and theintention or interest (intention) customers to conduct e-commerce transactions. Analyzing theinfluence of faith (trust) to an interest or intention (intention) to conduct e-commerce transactions.In this study, took samples of e-commerce users among students at undergraduate andpostgraduate STMIK Nusa Mandiri, who had conducted an e-commerce transactions. The maininstrument of data collection in the form of questionnaires and measured by Likert scale. Thenumber of respondents in this research are 245 respondents. Methods of data analysis used isStructural Equation Model (SEM). Data were analyzed using the software AMOS 7. Results oftesting the structural model does not generate confidence level (probability) or p ≤ 0.05 so thatused path analysis (path anlysis) to determine the causal relationship between variables. Resultsof path analysis test reliability obtained only variable that directly affects the trust and intentionwhile trust among the variables have a direct relationship with intention.Keyword : e-commerce, online shop, trust model, service quality
Penerapan Teknik Clustering Sebagai Strategi Pemasaran pada Penjualan Buku Di Tokopedia dan Shopee Wiga Maulana Baihaqi; Kuat Indartono; Syifaul Banat
Paradigma Vol 21, No 2 (2019): Periode September 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (487.82 KB) | DOI: 10.31294/p.v21i2.6149

Abstract

Pustaka Aysha is one of the online bookstores in Shopee and Tokopedia. Shopee and Tokopedia are online shopping sites that are top ranked in Indonesia. The amount of competition that exists between stores so that requires a marketing strategy. This research uses clustering techniques in data mining marketing strategies. Clustereing is one technique in data mining to find data sets that have similarities with other data or data dissimilarity with others. The clustering process is carried out using k-means and k-medoids on the sales transaction data of the Pustaka Aysha bookstore in Shopee and Tokopedia on March 2019 and consists of each of the 488 data divided into 3 clusters namely the first cluster for the most product in demand, the second cluster for products that are quite popular and the third cluster for products that are of little interest. Both of these algorithms will be clustered evaluation to find out which algorithm has better performance in this research, the evaluation process is carried out using davies bouldin index to maximize inter cluster distance and minimize intra cluster distance, so the results obtained that the k-medoids algorithm have performance better than k-means.

Page 27 of 35 | Total Record : 347

 25   26   27   28   29 

Filter by Year

2006 2021


Reset
Filter By Issues
All Issue Vol 23, No 2 (2021): Periode September 2021 Vol 23, No 1 (2021): Periode Maret 2021 Vol 22, No 2 (2020): Periode September 2020 Vol 22, No 1 (2020): Periode Maret 2020 Vol 21, No 2 (2019): Periode September 2019 Vol 21, No 1 (2019): Periode Maret 2019 Vol 20, No 2 (2018): Periode September 2018 Vol 20, No 1 (2018): Periode Maret 2018 Vol 19, No 2 (2017): Periode September 2017 Vol 19, No 1 (2017): Periode Maret Vol 18, No 2 (2016): Periode September Vol 18, No 1 (2016): Periode Maret Vol 17, No 2 (2015): Periode September Vol 17, No 1 (2015): Periode Maret Vol 16, No 2 (2014): Periode September Vol 16, No 1 (2014): Periode Maret Vol 15, No 2 (2013): Periode September 2013 Vol 15, No 1 (2013): Periode Maret 2013 Vol 14, No 2 (2012): PERIODE SEPTEMBER 2012 Vol 14, No 1 (2012): PERIODE MARET 2012 Vol 13, No 2 (2011): VOL. 13 NOMOR 2, September 2011 Vol 13, No 1 (2011): Vol. 13 Nomor 1, Maret 2011 Vol 12, No 2 (2010): VOL. 12 NOMOR 2, September 2010 Vol 12, No 1 (2010): Vol. 12 Nomor 1, Maret 2010 Vol 11, No 3 (2009): Periode September 2009 Vol 10, No 2 (2008): Periode April 2008 Vol 10, No 1 (2008): Periode Januari 2008 Vol 9, No 3 (2007): Periode Agustus 2007 Vol 9, No 2 (2007): Periode April 2007 Vol 9, No 1 (2007): Periode Januari 2007 Vol 8, No 1 (2006): Periode September 2006 More Issue