cover
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
ISSN : 14105063     EISSN : 25793500     DOI : http://dx.doi.org/10.31294/p
Core Subject : Science,
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.
Articles 15 Documents
Search results for , issue "Vol 22, No 1 (2020): Periode Maret 2020" : 15 Documents clear
Penerapan Aturan Asosiasi Algoritma Apriori Terhadap Penjualan Thai Tea Pada PT Nyonya Besar Lestari Normah Normah; Cristine Olivia
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1551.832 KB) | DOI: 10.31294/p.v22i1.6233

Abstract

Competition in the business world, especially in the increasingly lively beverage sales, requires the sellers to find strategies to increase sales. More and more sales data every day can be used to develop marketing strategies if processed correctly. To find out the most sales Apriori Algorithm is needed to be able to find out and with the help of Rapidminer tools, products with the most sales can be known. Apriori algorithm including the type of association that has raised the attention of many researchers to produce an efficient algorithm is the analysis of high frecuency patterns (frequent pattern mining) in this study can be implemented on the interest of buying drinks with the data used are 31 transactions with a minimum support or 30% and minimum confidence 60%.
Aplikasi Location Based Service (LBS) Untuk Informasi Dan Pencarian Lokasi Rumah Makan Halal Di Kota Kupang Berbasis Android Nisa Aulia; Patrisius Batarius; Yovinia Carmeneja Hoar Siki
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (719.08 KB) | DOI: 10.31294/p.v22i1.7654

Abstract

Kupang City is a municipality and also the capital of East Nusa Tenggara Province. Various types of ethnicity, race, religion exist in the city of Kupang. The type of food and tastes also vary according to the race character in Kupang City. It is often a separate issue fore some migrant communities, especially for Muslim communities who visit Kupang City when looking for Halal Restaurants. For Muslim communities who want to find the location of the nearest Halal Restaurant in the city of Kupang they will usually ask the people around and browse the streets, but this will certainly take a long time. Therefore we need an Android-based Location Based Service (LBS) application that can provide clear information about the location of Halal Restaurants in the city of Kupang. In this study the system development method used is the Rational Unified Process (RUP) method. This application was built using the Java programming language and Kotlin, SQLite as a database. This research resulted in an Android-based Location Based Service application that provides services in the form of clear location information such as coordinates and distance to halal restaurants in Kupang City.
Analisa Model Rapid Application Development Dalam Membangun Sistem Informasi Sekolah Mengemudi Vivi Rahmawati; Susy Rosyida
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (479.077 KB) | DOI: 10.31294/p.v22i1.7177

Abstract

Technological developments, especially in the automotive sector, make automotive companies competing to produce vehicles or means of transportation that are in accordance with the demands of society at this time. The public wants a means of transportation that is safe, comfortable, environmentally friendly and economical. To drive a private vehicle properly and correctly one of them follows training from institutions or driving schools. In this study, the authors helped overcome it by Building a Driving School Information System by analyzing using the Rapid Application Development (RAD) model. Use the Rapid Application Development (RAD) model for software development by minimizing the planning stage and maximizing prototype development. Through this system, prospective drivers can find out all information relating to driving schools, such as training schedules, names of instructors, costs required, types of cars available and comments of prospective drivers who have attended training at the school. This information system is very important for prospective drivers, it is also very useful for the driving school to display all information related to driving learning that will be applied.
Komparasi Criteria Splitting Pada Algoritma Iterative Dichotomizer 3(ID3) Untuk Klasifikasi Kelayakan Kredit Nandya Ayu Fatmandini; Rizal Amegia Saputra; Resti Yulistria
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.188 KB) | DOI: 10.31294/p.v22i1.6711

Abstract

Credit is a form of business run by various banks. In running credit, banks will always consider the credit that will occur, for that data about creditworthiness decisions will be very necessary to support the business wheels of banking life. Credit analysis is carried out to support credit or historical data. This can reduce credit. Bank Sinarmas Sukabumi is one of the largest finance companies in Indonesia. This company provides financing services for the purchase of new vehicles or used vehicles, some funds and funds provided by Sinarmas Bank in terms of credit, credit assistance, one for analyzing important credit, because one of them, looking for credit, bad things that can be done by companies that are not careful in granting credit. The ID3 algorithm can search all discussions and decisions. The application of the ID3 method by comparing the three criteria for obtaining credit, understanding the assessment criteria, obtaining an accuracy value of 62.67% and an AUC value of 0.800, the highest in accordance with the criteria being compared, is discussed with the criteria. The Strengthening Ratio and Gini Index have the lowest Accuracy and AUC values. Thus, the ID3 method with Gain Information criteria is a good method and criterion in predicting lending to Bank Sinarmas Sukabumi.
Analisis Sentimen Data Twitter Mengenai Isu RUU KPK Dengan Metode Support Vector Machine (SVM) Rani Nooraeni; Heny Dwi Sariyanti; Aulia Fikri Fadhilah Iskandar; Siti Fatimatul Munawwaroh; Suciarti Pertiwi; Yulianus Ronaldias
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1087.12 KB) | DOI: 10.31294/p.v22i1.6869

Abstract

Komisi Pemberantasan Korupsi (KPK) merupakan lembaga independen di Indonesia yang dibentuk pada tahun 2002 untuk mengatasi masalah korupsi di Indonesia. KPK bertanggungjawab kepada publik dan menyampaikan laporannya secara terbuka dan berkala kepada presiden, DPR, dan BPK. Skor CPI Indonesia dari tahun 2015-2018 masih cenderung stagnan yakni berturut-turut 36, 37, 37 dan 38. Sidang Paripurna DPR menyepakati dilakukannya revisi UU KPK menjadi RUU Inisiatif DPR. Polemik yang terjadi sebagai akibat dari ketidakterbukaan DPR atas keputusannya untuk melakukan revisi UU KPK menimbulkan berbagai respon dari masyarakat. Salah satu media yang dapat digunakan untuk melihat respons masyarakat terkait isu ini adalah Twitter. Untuk menganalisis respon masyarakat dengan menggunakan data Twitter, dapat dilakukan dengan analisis sentiment. Metode pengklasifikasian yang digunakan adalah Support Vector Machine (SVM) Radial Basis Function.
Pengembangan Media Pembelajaran Berbasis Game Edukasi Pada MatPel IPA Tematik Kebersihan Lingkungan Reni Widyastuti; Listia Sari Puspita
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.508 KB) | DOI: 10.31294/p.v22i1.7084

Abstract

Game is one of the interactive multimedia products which is developing rapidly in the world, including Indonesia. Educational games can be used as an alternative interactive learning media that has the goal of supporting the learning process with the concept of "playing while learning". The educational game aims to stimulate students to understand the material provided by the teacher and help teachers provide alternative teaching methods that are fun for students. Environmental cleanliness is a learning theme for grade 1 elementary school presented on Natural Sciences (IPA) subjects. First grade elementary school students are early students who want fun learning so the purpose of this research is to create an educational mobile game application that can be used for learning media for elementary school class I science that can motivate students to learn, understand and apply environmental cleanliness starting from home, school and can distinguish waste that can be recycled or not. In the construction of this game using the version 2 construct application with system development with the waterfall system development method
Pemilihan Angkutan Mudik Lebaran Menggunakan Metode Analytic Hierarchy Process Narti Narti; Ahmad Yani; Adika Dharma Setiyadi
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.261 KB) | DOI: 10.31294/p.v22i1.7087

Abstract

Transportation or transportation from humans or goods from one place to another using vehicles that are driven by humans or machines. In the selection of public transportation back and forth it is sometimes difficult to determine suitable transportation for use in this case the community can support the decision support system method, one of which is the Hierarchy Analysis Process (AHP). AHP itself is a method that breaks up complex, unstructured places, and organizes parts or variables into a hierarchical form. In determining decisions using the AHP method the community can determine which transportation is more important with the value that must be determined. In this study four criteria were used namely price, service, quality and purpose of travel. In this study four alternatives were also taken, including bus, plane, fire train and sea boat. The existence of this research is expected to be able to help and facilitate the community in choosing the right vehicles for going home at Lebaran.
Penerapan Algoritma C4.5 Untuk Klasifikasi Penempatan Tenaga Marketing Eka Fitriani; Riska Aryanti; Atang Saepudin; Dian Ardiansyah
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.029 KB) | DOI: 10.31294/p.v22i1.6898

Abstract

Marketing is a job that has a scope of work to market a product. Marketing is at the forefront of the company. The problem that often occurs in companies is not having a reliable marketing force. The problem arises because the process of accepting new marketing is still not done professionally. This happens because there is no systematic standard method to assess the feasibility of marketing candidates. Therefore it is necessary to analyze the marketing placement so that it can determine the feasibility of a new marketing placement problem. Through the results of the analysis of new marketing placements, it can be seen whether the marketing candidates passed or did not qualify. Of the problems that exist testing the data mining classification method to find out the algorithm to predict marketing feasibility is to use an algorithm that is C4.5. After testing with the C4.5 algorithm the results obtained are that the C4.5 algorithm produces an accuracy value of 91.10% and an AUC value of 0.921 with a diagnosis level of Excellent Classification. So that the conclusion C4.5 algorithm is a good algorithm to be applied to the feasibility of marketing placement. Keywords : Marketing Feasibility, Data Mining, C4.5
Klasifikasi Algoritma Naïve Bayes dan SVM Berbasis PSO Dalam Memprediksi Spam Email Pada Hotline-Sapto Merio Hengki; Mochamad Wahyudi
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (687.912 KB) | DOI: 10.31294/p.v22i1.7842

Abstract

Accreditation can be interpreted as an effort by the government to standardize and guarantee the quality of college alumni so that the quality of verification between universities is not too varied and in accordance with work needs. SAPTO or Online Higher Education Accreditation System is a system organized by BAN-PT for the online higher education accreditation process. Developed to improve the efficiency and quality of higher education accreditation processes. At Sapto, the University acts as an entity that submits accreditation proposals for both the Higher Education Accreditation and the Study Program Accreditation. BAN-PT has approved a complaint service related to technical issues in SAPTO that can be addressed to the hotline-sapto email account. BAN-PT has a question and answer service through the e-mail hotline sapto which can be used by universities to facilitate related to the accreditation process with sapto. Submission and questions about the accreditation process with Sapto are still responded more quickly by staff who work as public relations BAN-PT. This relates to direct question and answer questions and also a lot of time spent reading or sending spam messages as well as unwanted irrelevant questions. Email technology is also used a lot not for positive purposes so as to benefit from spam email. On this occasion the research that will be conducted is the classification of spam emails from the hotline-sapto account and preprocessing and the calculation of its accuracy, AUC with various data mining classification methods, including the Naïve Bayes algorithm, Support Vector Machine (SVM), this method is used to predict spam emails with that is the purpose of the algorithm chosen is the most accurate algorithm that can predict spam emails. From the test results obtained by the calculation of the SVM method with PSO get an accuracy value of 85.25% with AUC of 0.892
Model Global Extreme Programming Pada Sistem Informasi Akademik MTs Al Muddatsiriyah Tri Juliyanto; Arief Rusman; Kresna Ramanda
Paradigma Vol 22, No 1 (2020): Periode Maret 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (838.144 KB) | DOI: 10.31294/p.v22i1.7022

Abstract

Dalam dunia pendidikan, sistem informasi yang terkomputerisasi sangat dibutuhkan untuk membantu dalam proses belajar mengajar dan dalam mengolah data-data yang terkait di lingkungan pendidikan seperti pengolahan data akademik. Hal tersebut menandakan bahwa, seiring dengan berkembangnya teknologi informasi sekarang ini. Secara tidak langsung, sekolah di tuntut harus mampu mengimbanginya demi mencakup keberhasilan dalam kegiatan proses pembelajaran di sekolah. Sehingga, informasi hasil pembelajaran tidak lagi hanya dapat dilakukan di sekolah saja. Tetapi, juga dapat dilakukan dimana saja yang di dukung dengan media web menggunakan jaringan internet. Pada tahapan proses pengembangan sistem ini, penulis menggunakan model global extreme programming untuk mengutamakan fleksibelitas terhadap perubahan-perubahan yang terjadi selama pengembangan. Berdasarkan hasil dan pembahasan mengenai penerapan model global extreme programming pada Sistem Informasi Akademik Mts Al Muddatsiriyah. Bahwa, Model global extreme programming yang diterapkan pada sistem informasi akademik Mts Al Muddatsiriyah,  memberikan tahapan yang jelas dalam membangun sebuah sistem. Sehingga memudahkan pihak terkait dalam perancangan sistem hingga pemeliharaannya.

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