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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 289 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.
PENERAPAN ATURAN ASOSIASI ALGORITMA APRIORI TERHADAP PENJUALAN THAI TEA PADA PT NYONYA BESAR LESTARI Olivia, Cristine; Normah, Normah
Paradigma - Jurnal Komputer dan Informatika Vol 22, No 1 (2020): Periode Maret 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v21i2.6233

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 Aulia, Nisa; Batarius, Patrisius; Siki, Yovinia Carmeneja Hoar
Paradigma - Jurnal Komputer dan Informatika Vol 22, No 1 (2020): Periode Maret 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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 RAD DALAM MEMBANGUN SISTEM INFORMASI SEKOLAH MENGEMUDI Rahmawati, Vivi; Rosyida, Susy
Paradigma - Jurnal Komputer dan Informatika Vol 22, No 1 (2020): Periode Maret 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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 Fatmandini, Nandya Ayu; Saputra, Rizal Amegia; Yulistria, Resti
Paradigma - Jurnal Komputer dan Informatika Vol 22, No 1 (2020): Periode Maret 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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) Nooraeni, Rani; Sariyanti, Heny Dwi; Iskandar, Aulia Fikri Fadhilah; Munawwaroh, Siti Fatimatul; Pertiwi, Suciarti; Ronaldias, Yulianus
Paradigma - Jurnal Komputer dan Informatika Vol 22, No 1 (2020): Periode Maret 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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 widyastuti, reni; puspita, Listia sari
Paradigma - Jurnal Komputer dan Informatika Vol 22, No 1 (2020): Periode Maret 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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 AHP Narti, Narti; Yani, Ahmad; Setiyadi, Adika Dharma
Paradigma - Jurnal Komputer dan Informatika Vol 22, No 1 (2020): Periode Maret 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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 Fitriani, Eka; Aryanti, Riska; Saepudin, Atang; Ardiansyah, Dian
Paradigma - Jurnal Komputer dan Informatika Vol 22, No 1 (2020): Periode Maret 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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

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