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 16 Documents
Search results for , issue "Vol 23, No 1 (2021): Periode Maret 2021" : 16 Documents clear
Penentuan Pola Penjualan Media Edukasi dengan Menggunakan Metode Algoritma Apriori dan FP-Growth Rizal Rachman
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (744.977 KB) | DOI: 10.31294/p.v23i1.9884

Abstract

Cerdas-Sehat Online Shop adalah toko online yang menjual produk dari PT. Tigaraksa bertujuan memasarkan media edukasi. Semua penjualannya bertujuan untuk meningkatkan kecerdasan potensi anak dengan ilmu pengetahuan dan keahliannya serta belajar lebih menyenangkan melalui buku-buku yang dapat mengeluarkan suara dan bisa bernyanyi. Selama ini Cerdas-Sehat Online Shop telah melayani sekian banyak transaksi pesanan produk-produk media edukasi. Semua data aktifitas transaksi disimpan dalam sistem database dengan menggunakan sistem aplikasi berbasis web. Datanya banyak yang belum bisa menemukan tentang trend produk apa aja yang sekarang naik atau turun. Hal tersebut disebabkan karena kurangnya pengetahuan dalam menganalisa produk yang sering laku dalam waktu bersamaan atau dalam satu transaksi dari para pelanggan. Salah satu strategi penjualan yang dapat dilakukan menggunakan disiplin ilmu data mining untuk memperoleh informasi paket penjualan dari data yang banyak dalam waktu cepat. Penyusunan pola pembelian barang yang biasa digunakan dalam data mining dengan algoritme association rule, algoritme yang digunakan menggunakan Apriori dan FP-Growth. Algortime Apriori menghasilkan 5 pola aturan asosiasi minimum support sebesar 10% dan minimum confidence sebesar 50% menghasilkan nilai confidence tertinggi yaitu 100% , sedangkan algoritme FP- Growth menghasilkan 5 pola aturan asosiasi dengan minimum support count 2 menghasilkan nilai support count tertinggi yaitu 8. Dengan menggunakan 2 atribut yaitu no.order dan kode produk dapat menemukan kecenderungan pola kombinasi antar itemset sehingga dapat dijadikan informasi yang sangat penting dalam pengambilan keputusan yang berguna untuk mempersiapkan jenis stok barang apa yang diperlukan kedepanya bagi penjualan di Cerdas–Sehat Online Shop.
Analisis Sentimen Opini Publik Terhadap Penerapan Kebijakan Social Distancing Dalam Pencegahan Covid-19 Bakhtiar Rifai; Normah Normah; Bimo Danang Febryanto; Feri Yulianto; Nova Reflianah
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (918.362 KB) | DOI: 10.31294/p.v23i1.8756

Abstract

The last few months, Indonesia and the world are being hit by a disaster caused by the covid-19 virus, which resulted in a global pandemic that has infected more than one million human beings, because of this many countries have begun to implement various policies, including Indonesia, which is currently is implementing social distancing and PSBB, the application of which raises the pros and cons of people from all fields, to find out the response and response of the community related to the policy, a survey is needed to analyze the positive and negative comments, which are on Twitter, to analyze the response of the community can be done with text mining, text mining is the process of finding the meaning of an unstructured text or writing, to analyze the response of the community data taken from social media Twitter in the form of comments / tweets with a total of 400 comments and divided into 200 positive sentiment comments in 200 negative sentiment comments, the data is processed using the SVM classification method and will be compared with the SVM classification by PSO feature selection, the text preprocessing used is tokenize, transform cases, stopword filter and generate n-grams, and for the word weighting process using tf-idf , the accuracy of the SVM classification without PSO is 67.00% with the AUC value obtained is 0.774 and the accuracy of the SVM classification with PSO is 98.25% with the AUC value of 0.999, from the results the SVM with PSO feature selection is better in classifying sentiments than SVM without PSO feature selection.
Analisis Runtun Waktu Untuk Memprediksi Jumlah Mahasiswa Baru Dengan Model Prophet Facebook Fristiani Theresia Br Sitepu; Vince Amelia Sirait; Roni Yunis
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (679.629 KB) | DOI: 10.31294/p.v23i1.9756

Abstract

Penerimaan mahasiswa baru merupakan langkah dasar agar proses belajar mengajar tetap berjalan. Setiap tahunnya mahasiswa baru yang mendaftar dapat mengalami peningkatan dan juga mengalami penurunan. Untuk itu prediksi sangat penting bagi perguruan tinggi sebagai bahan pendukung dalam pembuatan keputusan, strategi dan kebijakan. Penelitian ini bertujuan untuk mengetahui proses analisis runtun waktu dan hasil prediksi penerimaan mahasiswa baru di masa yang akan datang. Model yang digunakan dalam prediksi adalah model Prophet Facebook dan menggunakan dataset mahasiswa baru TA 2010/2011 sampai TA 2019/2020. Tahapan penelitian mengacu pada metode OSEMN yaitu Obtain data, Scrubbing data, Explore data, Modeling data, dan Intetpreting data. Hasil analisis untuk keseluruhan data mengalami penurunan di setiap tahunnya dan nilai rata-rata MAPE sebesar 0.04327568 %  yang berarti model prediksi yang dihasilkan sangat baik  karena <10% dengan tingkat akurasi sebesar 99,6%. Kata kunci: Prophet Facebook, prediksi, runtun waktu
Mengidentifikasi Jenis Virus Menggunakan Sistem Pakar Berbasis Metode Forward Chaining Ridwansyah Ridwansyah; Siti Faizah; Yuni Eka Achyani
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.369 KB) | DOI: 10.31294/p.v23i1.10048

Abstract

Virus sebuah jenis penyakit yang berupa mikroskopik dengan organisme super kecil yang dapat menyerang manusia dan terkadang sangat mematikan. Ada berbagai macam virus yang ada dan menyebar di masyarakat akan tetapi masyarakat tidak dapat mengetahui dan tidak dapat mengidentifikasi jenis virus yang terkena dirinya ataupun yang ada disekitar mereka, dikarenakan masyarakat kurang memiliki pengetahuan dalam identifikasi jenis virus. Untuk mengidentifikasi jenis virus dapat digunakan sebuah metode forwad chaining dimana jenis virus dengan metode tersebut dapat dikenali dengan gejala-gejala yang ada sehingga jenis penyakit virus dapat diketahui dan dapat diobati secara dini. Maka dari itu perlu adanya sebuah alat sistem pakar yang dapat mengidentifikasi jenis virus, sehingga masyarakat dapat mengantisipasi jenis virus yang akan menyerang tubuh mereka beserta orang disekitar mereka. Dari hasil alat sistem pakar tersebut dapat membantu masyarakat dalam mengetahui jenis virus secara dini, dan dapat membantu para ahli pakar dalam menangani pengurangan masyarakat yang terkena berbagai macam jenis virus. 
Rancang Bangun Alat Pendeteksi Warna Menggunakan Arduino Uno Berbasis IoT (Internet of Things) Sri Wulandari; Budy Satria
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (742.438 KB) | DOI: 10.31294/p.v23i1.9861

Abstract

The rapid development of technology causes a series of electronic applications to replace the role of humans as accuracy and accuracy in a job. Based on observations in the industrial sector, there are still few who use the services of human hands to sort an object. Sorting by color is one of them. This IoT-based color detector is a simulation of a tool designed to help ease human work in sorting an object. Generally, color detection techniques are still manual, requiring the user to adjust from where the tool is located. Therefore, we need a tool that can detect colors that can be adjusted through IoT-based applications (Internet of Things) using the TCS3200 color sensor as a color detector, Arduino Uno as Data Processing and Microsoft Visual Basic .NET applications as the media interface. Supported by the HMI (Human Machine Interface) system as a system that regulates the process of running a job, and a Servo Motor as a rotary actuator (motor) in directing a running object, color detection will be more accurate and efficient. So that users can get or make it easier to detect the color according to the desired amount.
Rancang Bangun Sistem Informasi Penerimaan Peserta Didik Baru Berbasis Website Dengan Metode Spiral Kartika Puspita; Yuris Alkhalifi; Hasan Basri
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1029.866 KB) | DOI: 10.31294/p.v23i1.10434

Abstract

Penerimaan Peserta Didik Baru (PPDB) is an annual agenda for every institution or educational institution in order to accept new students in its environment. Often these agencies or institutions often experience problems in managing the administration of new students, one of which is Raudhatul Athfal Sirojul Falah. The problems that occur in administrative matters include the frequent problems of inputting new student data and it is not organized so that the data becomes difficult to find. So that in this study a PPDB information system will be created to solve this problem. The information system that will be created is in the form of a UML (Unified Modeling Language) design, ERD (Entity Relationship Diagram), and LRS (Logical Record Structure) as well as a website with the PHP programming language, CodeIgniter framework, and bootstrap library. The result of this research is the construction of a PPDB information system at RA Sirojul Falah in the form of a website using the spiral method with the hope of helping the PPDB RA Sirojul Falah committee in managing new student data effectively and efficiently.
Analisis Kesuksesan Aplikasi Jakarta Kini (JAKI) Menggunakan Model Delone and McLean Dwi Andriyanto; Fadillah Said; Fakihotun Titiani; Erni Erni
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.373 KB) | DOI: 10.31294/p.v23i1.10018

Abstract

Aplikasi Jakarta Kini (JAKI) dirancang sebagai aplikasi yang dapat mewujudkan kota pintar efisien dan efektif dalam mengubah Jakarta menjadi kota metropolitan yang cerdas dan lebih baik. Tujuan dari studi ini adalah untuk mengetahui tingkat kesuksesan aplikasi jakara kini (JAKI) dan variabel mana yang paling mempengaruhi kepuasan pengguna. Penelitian ini menggunakan enam variabel dari metode DeLone and McLean yaitu: kualitas sistem, kualitas informasi, kualitas layanan, kegunaan, kepuasan pengguna, manfaat bersih. Jumlah responden yang digunakan pada penelitian ini adalah 170 responden. Hasil penelitian ini menunjukan bahwa kepuasan pengguna berpengaruh sifnifikan 59,4% terhadap manfaat bersih.  Masyarakat telah dapat merasakan manfaat Aplikasi JAKI dalam memenuhi kebutuhan warganya akan informasi terkini dan dapat mengatasi permasalahannya dengan menghemat waktu berupa pelaporan kepada pihak terkait melalui penggunaan teknologi. Sehingga penelitian ini dapat menjadi masukan bagi Pemerintah Provinsi DKI untuk memaksimalkan kegunaan Aplikasi JAKI menuju kota metropolitan yang cerdas dan interaktif.
Prediksi Persediaan Bahan Baku untuk Produksi Percetakan Menggunakan Metode Asosiasi Agus Junaidi; Alif Rahman; Yunita Yunita
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.088 KB) | DOI: 10.31294/p.v23i1.9597

Abstract

The use of technology in the offset printing industry is now making it faster for users to get production results. Another advantage of the offset printing industry is high quality printing, consistent color printing and low cost for large volume printing. The offset printing industry is one of the industries that have the most frequent ordering of raw materials, this is due to the pattern of consumers who order more than one type of paper. Therefore, the unavailability of raw materials can cause the order to be constrained. By using this association method, it can be seen the amount of paper raw material needed to complete a product in the future so that the company can optimize the supply of raw materials needed so that the amount of inventory is not too much but not too little. In this study the support used has a threshold of more than 20% and a minimum confidence 30%. With these results can be optimized in the subsequent ordering of raw materials for paper and can manage the storage properly.
Perancangan Sistem E-Commerce Menggunakan Model Rapid Application Development Pada Pengurus Cabang Judo Karawang Atang Saepudin; Riska Aryanti; Eka Fitriani; Dian Ardiansyah
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (984.62 KB) | DOI: 10.31294/p.v23i1.9822

Abstract

The development of information technology which is increasingly advanced and dynamic and the increasing competition in the global market has made all competition, both labor and business sectors, tighter. Of course this affects all types of businesses and business actors must start thinking about new breakthroughs so that their business can survive and be able to compete with other business competitors. The lack of breakthrough in marketing is experienced by the Judo Karawang Branch Management, where marketing is the spearhead of a business. So, if the marketing strategy is blunt, it will have an impact on the process of business activities. In order for these businesses to survive, the use of information technology is of course the main choice in business development, especially in terms of promotion and sales of services so that they can compete with other businesses. To increase competitiveness and to obtain other business opportunities, this can be done by taking advantage of developments in Information and Communication Technology (ICT). The system development method used in this study is the Rapid Application Development model. This model is used because it is considered a development method that has a short and fast development time. Referring to previous research, the researcher chose this RAD model because it was considered appropriate for the e-commerce system that the researcher built. E-commerce will make it easier for producers in marketing activities and also cut operating costs for trading and marketing activities so that it will increase sales volume and increase revenue. This increase in income will eventually expand the business.
Pemamfaatan Aplikasi Googleform Dalam Pembelajaran Bagi Guru Pada Masa Pandemi Yanthi Charolina; Honny Honny
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (573.95 KB) | DOI: 10.31294/p.v23i1.10092

Abstract

The Google meet application and Google form are being studied and used by many teachers and students during the current pandemic. At this time all countries in the world are experiencing a crisis along with the entry of the Corona / Covit'19 virus which has killed many victims, even though many are still being treated with special handling in hospitals. The whole world is struggling to eradicate the virus that is currently developing. With this virus, countries around the world apply to stay at home to avoid crowds so that they can suppress this virus from developing. Many countries have locked down the place in order to suppress the development of this virus. Indonesia is one of the countries that also implements LockDown but in other terms, namely, PSBB means Large-Scale Social Restrictions. Where the Government recommends that all activities be carried out at home, one of which is in the field of education, namely school, where students can only receive learning from home and teachers also from home. This is where the use of information and communication technology is needed in carrying out teaching and learning activities. Currently, all teachers in schools must be able to take advantage of advanced information and communication technology to teach their students.The purpose of this study is to obtain an overview of the extent to which teachers in schools use or utilize information and communication technology that is currently developing using the internet in teaching and learning activities. In this study, research focuses on understanding social phenomena that occur in society.

Page 1 of 2 | Total Record : 16