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 347 Documents
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.
Perancangan Sistem Pakar Penyakit Gigi Menggunakan Metode Forward Chaining Pada Klinik Pratama Condet Ahmad Ishaq; Hesti Nugraheni; Ahmad Al Kaafi; Eva Rahmawati; Nandang Iriadi; Achmad Sumbaryadi
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 (1095.68 KB) | DOI: 10.31294/p.v22i1.6661

Abstract

Teeth are hard parts in the mouth. The tooth has a varied structure that functions as a cutter, renderer and food chewer. If the tooth is not cleaned after eating, it can cause bacteria to appear. Where these bacteria can damage teeth and cause a person to get dental disease. In addition to teeth is a tool for digestion of food, teeth are also a person's appearance. This display is very much needed and someone needs to meet face to face with other people. When cavities, will automatically reduce one's appearance. Moreover, cavities are accompanied by toothache, this can interfere with one's activities in doing work. expert system which is an artificial intelligence program that combines the base of the knowledge base with an inference system to imitate an expert. It is also a system that seeks to adopt human knowledge to computers, so that computers can solve problems as is usually done by experts. Forward Chaining is a decision-making strategy that starts from the fact to the final conclusion. Then monitoring uses an internet connection to connect to the web.Key Word: Dental Disaese, Expert System, Forward Chaining, Web
Fitur Seleksi Untuk Optimalisasi Kinerja Asisten Dosen Rizal Prasetyo
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 (441.829 KB) | DOI: 10.31294/p.v22i1.7349

Abstract

Dosen dan asisten dapat membantu meningkatkan kualitas pendidikan jika keduanya tidak ada maka mahasiswa mendapatkan kerugian, maka dari itu seorang asisten dosen perlu dilakukan peningkatan kinerja dengan salah satu  metode diantaranya metode decision tree. Decision tree dapat menghasilkan keputusan yang sangat sederhana, tetapi metode decision tree perlu di optimalkan dalam kinerjanya maka dari itu perlu menggunakan metode optimasi salah satunya metode particle swarm optimization. Particle swarm optimization merupakan metode optimasi dengan menghilangkan dan menseleksi fitur-fitur yang berlebihan untuk menghasilkan akurasi yang optimal. Dari hasil yang dilakukan dalam penelitian ini dengan menggunakan metode decision tree maka didapatkan akurasi sebesar 60.26%. Akan tetapi dengan adanya fitur yang diseleksi dengan particle swarm optimization dapat meningkatkan akurasi sebesar 67.54% dan membuktikan dengan adanya optimasi particle swarm optimization dapat meningkatkan sebesar 07.28%. Dan hasil yang kami capai membuktikan bahwa metode particle swarm optimization dapat meningkatkan akurasi dengan menseleksi fitur yang ada sehingga kinerja asisten dosen dapat meningkatkan kualitas pendidikan di masa yang akan datang
Analisa dan Implementasi Sistem Informasi Pengeluaran Kas Kecil Pada PT. Bank Bukopin Berbasis Web Yuni Eka Achyani; Anggi Velayati
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 (268.874 KB) | DOI: 10.31294/p.v22i1.7171

Abstract

The application of a petty cash disbursement information system in a company is very important because by applying the petty cash disbursement information system, the company can supervise and control the course of the company's operational activities so that it can run as it should. This study aims to find out how the petty cash fund accounting system applied at PT. Bank Bukopin West Bekasi, is it in accordance with SOP (operational standards) in the company, and to find out the weaknesses of the system that is already running. From the results of this study obtained a discussion that in the petty cash expenditure PT. Bank Bukopin West Bekasi is still done manually starting from recording data to storing other data relating to the petty cash disbursement process to reporting. The research method used by the author is to use field research, interview methods and library methods while the software development method used by the writer is the waterfall method with the SDLC model. So according to the research of PT. Bank Bukopin West Bekasi requires a system that is expected to produce better reports in support of petty cash activities. The programming language used in development is to use a MySQL database and an editor using Notepad ++. This research will discuss about a web-based petty cash expenditure information system that is how the submission process, reimbursement, capital and reports. The author's purpose of this research is a small cash expenditure information system with the hope that it can overcome the obstacles that have occurred in the small cash expenditure system manually, and can assist in the process of making reports.
Implementasi Data Mining Penjualan Produk Kosmetik Pada PT. Natural Nusantara Menggunakan Algoritma Apriori Fajar Adhinda Kusuma Wardani; Titin Kristiana
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 (531.194 KB) | DOI: 10.31294/p.v22i1.6520

Abstract

Women's life can not be separated from cosmetics. In addition to beautifying themselves, cosmetics are also used for health purposes. Cosmetics are basically one of the basic needs of women. Every day the sales transaction data at PT. Natural Nusantara is increasing and causing huge data storage. Most sales transaction data is only used as archives without being used properly. The data should be used to see the relevance of each item purchased by consumers simultaneously. This research analyzes data using a priori algorithm method, with this method it is known that cosmetic products purchased simultaneously and most sold by looking at the value of support and confidence. In the process of data processing using manual calculation and RapidMiner 5.3 software to analyze datasets at PT. Natural Nusantara. The results of this study use 10% support and 50% confidence. This study produced 7 rules for association rules.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode Weighted Product Eka W Fridayanthie; Nanda Khoirurrizky; Tri Santoso
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 (121.822 KB) | DOI: 10.31294/p.v22i1.6418

Abstract

Employees are one of the most important factors in a company, without it a company will not be able to run smoothly, but over time an employee needs encouragement in carrying out his duties. With the holding of the best employee selection on CV. Laatansa Agung Tangerang will re-ignite the enthusiasm of all employees but because the selection that has been done is chosen subjectively then the desired results are not appropriate. This is where the adoption of a decision support system can be used and one method that can be easily understood and used is a weighted product method which will calculate each alternative and raised with its weight the greater the value of an alternative, the greater the chance to be chosen. This application is in accordance with the problems experienced by CV. Laatansa Agung Tangerang where the results obtained will be objective because they are carried out based on the assessment that occurs in the field not based on a unilateral or subjective assessment and from here the results obtained will trigger employees of CV. Laatansa Agung Tangerang to competing to be the best employee
Analysis Name Entity Disambiguation Using Mining Evidence Method Adelya Astari; Moch. Arif Bijaksana; Arie Ardiyanti Suryani
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (814.724 KB) | DOI: 10.31294/p.v22i2.8196

Abstract

Hadith is the second guideline and source of Islamic teachings after the Qur'an. One of the most Saheeh hadith is the book of Saheeh al-Bukhaari. Hadith Sahih Bukhari has a chain of narrators, hadith numbers, and contents of different contents. This tradition also has science that discusses the history of the narrators of the hadith called the Science of Rijalul Hadith. In the Sahih Bukhari hadith there are the names of the narrators of the hadith who have the same name, causing obligation between names. That makes it difficult for many ordinary people to understand these ambiguous names because it is not yet known whether the two names are the same person or not. So, it raises the problem of a name ambiguation for ordinary people who cannot distinguish whether the name of the narrator is the same person or not. To solve these problems, a solution is built, namely the disambiguation of names to eliminate the ambiguity of the name by checking the name, hadith number, narrators chain, content topics, circles, countries, and companions of the Prophet that are seen from the 3 last names before the Prophet based on the chain of narrators. Also, the solution is assisted by using a method Mining Evidence with several other approaches, i.e. Association label documents, word association labels, context similarity, cosine similarity, and word2vec to obtain all similarity values between name entities. After the similarity values are obtained, the data are grouped using the Clustering algorithm. This system is expected to be able to produce a good system performance with a confusion matrix based on value precision, recall, and accuracy.