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Paradigma

paradigma
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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 18 Documents

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Search results for , issue "Vol 22, No 2 (2020): Periode September 2020" : 18 Documents clear

PENERAPAN ALGORITMA J48 UNTUK DETEKSI PENYAKIT TIROID Sarifah Agustiani; Ali Mustopa; Andi Saryoko; Windu Gata; Siti Khotimatul Wildah
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Impaired thyroid function is often difficult to identify because the symptoms are not specific. The symptoms of thyroid disorder are very similar to various complaints due to modern lifestyles so it is often overlooked. As a result, patients often do not notice a problem and do not have to consult a doctor. Therefore, there is a study that implements methods to predict the disease which will facilitate the patient in diagnosing and early detection of thyroid levels. This research aims to predict against thyroid disease with the data used is the secondary data obtained from the UCI repository, this data is about the patient data affected by thyroid disease, while the method uses the J48 algorithm because in some studies, the J48 algorithm is proven to have good performance in detecting an illness, as well as producing high value of Accuasy and AUC. The stage of data analysis is based on the CRISP-DM method while algorithm testing is done with Weka tools. Results of the test obtained an accuracy value of 99.645%, and a AUC value of 0.992 thus the accuracy has Excellent Classification level.

Pengembangan Implementasi DSS Aplication Penentuan Level Kondisi Anak Penyandang Disabilitas Tunanetra Menggunakan Metode AHP Herlan Sutisna; Miftah Farid Adiwisastra; Ai Ilah Warnilah
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Komunikasi dan teknologi sekarang sangat berkembang pesat yang menghasilkan informasi guna mempermudah pekerjaan manusia, teknologi smartphone yang sangat pesat, terkadang belum dimaksimalkan dalam bentuk aplikasi yang menunjang pendidikan.Aplikasi Pendukung keputusan merupakan salah satu alternatif yang potensial untuk mendukung kegiatan pendidikan, yang berdampak pada tingkat keberhasilan guru dalam proses belajar mengajar, pada dasarnya kebutuhan penyandang disabilitas tidak berbeda dengan kebutuhan manusia pada umumnya, Disabilitas bukanlah penghalang seseorang untuk memperoleh pendidikan yang terbaik, Kondisi tunanetra diasumsikan berimplikasi pada aspek mental, fisik dan psikis. Aspek tersebut perlu diatasi melalui metode dan media yang disesuaikan dengan kondisi dan potensi anak tersebut, permasalahan yang terjadi banyak sekolah atau guru yang menuntut anak bisa mengikuti pembelajaran tanpa peduli dengan kemampuan yang dimiliki siswa tersebut. Kurangnya pemahaman guru tentang kemampuan yang dimiliki peserta didik dapat menghambat proses pembelajaran. peneliti merancang Aplikasi Mobile sistem pendukung keputusan penentuan level kondisi anak penyandang disabiltas tunanetra agar mempercepat Informasi Level Kondisi Anak tersebutmenggunakan metode AHP dalam pengolahan datanya dengan kriteria Tingkat Ketunanetraan, Masa Ketunanetraan, Kondisi Mental, Kondisi Psikologis, dan Intelektual. Hasil dari penelitian ini bisa menjadi masukan dan rekomendasi bagi guru untuk menentukan kondisi anak sehingga dapat memberikan metode pembelajaran yang sesuai kondisi anak tersebut.

Diagnosis Penyakit Tanaman Karet dengan Metode Fuzzy Mamdani Hendrawan Hendrawan; Abdul Haris; Errissya Rasywir; Yovi Pratama
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Like most plantation plants in general, rubber can be attacked by various diseases originating from fungi, pests, animals and even cancer cells. For that we need a method capable of diagnosing rubber disease. In previous research related to the diagnosis of plant diseases, among others, using the Dempster Shafer method, the Certainty factor method and forward chaining. This study developed an analysis of the results of the diagnosis of rubber plant disease using the Mamdany Fuzzy method. The choice of this method departs from research on fuzzy mamdany which states that the fuzzy mamdany method is able to resemble the intuitive way the human brain works. It is hoped that with this method, the diagnosis of rubber plant disease can help farmers detect symptoms earlier so that the productivity of rubber plantation products can be achieved. increased. This study used rubber plant disease data from the Jambi Provincial Plantation Office in Jambi City. From the results of calculations carried out in diagnosing rubber plant disease, as many as 161 rubber plant object data were equipped with 33 symptom identities and a diagnosis from plantation data, then tested 60 rubber plant data without a diagnostic label, we obtained an accuracy value of 81.28%. Likewise, testing by randomizing training data with Cross Validation obtained close results.

Algoritma Apriori Sebagai Solusi Kontrol Persediaan Suku Cadang Mobil PT. Buanasakti Aneka Motor Jakarta Normah Normah; Bakhtiar Rifai; Pita Sari
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

PT. BuanaSakti Aneka Motor is one of the car distributor agents located at warung buncit raya street No. 109 Duren Tiga, South Jakarta. Everyday the data piles is increase more and longer. PT. BuanaSakti Aneka Motor sometimes has difficulty to knowing how many spare parts occur in one transaction, so data or new stock information is difficult to find sometimes experiencing errors. To find out which products have the most sales and how they relate to one another, a priori algorithm method and the help of Rapidminer Tools are needed to produce associative rules. From the results of the discussion and analysis of the data it can be concluded that the application of a priori algorithm in determining the combination of itemset with a minimum support of 25% and a minimum of 60% confidence found 2 association rules, where the highest value of support and confidence is a radiator with a minimum stop lamp support of 26.92% while the minimum confidence is 64.65% and the oil filter with the minimum stop light support is 35.32% while the minimum confidence is 61.58%.

Perancangan Validasi Permohonan Narasumber Pada Sistem Informasi Permohonan Narasumber Menggunakan Finite State Automata Fadillah Said; Dwi Andriyanto; Retno Sari; Windu Gata
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

The Law and Human Rights Research and Development Agency in carrying out its duties and functions provides services in the form of Providing Resource persons. Managing mail manually requires a long time and allows for document loss. This study aims to reduce the use of time, help minimize the loss of letters, and reduce errors in recording letters by storing them in a database in accordance with the specified format. In the design of the system will check the applicant's input and validate before the data is stored in the database using Finite State Automata (FSA) so that the data stored in accordance with the format specified. The implementation of this research is expected to be able to help the Law and Human Rights Research and Development Agency to reduce the use of time, help minimize the loss of letters, and reduce errors in recording letters in accordance with the specified format.

Penerapan Data Mining dalam Mengelompokkan Jumlah Kematian Penderita COVID-19 Berdasarkan Negara di Benua Asia Noviyanto Noviyanto
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Abstrak - COVID-19 disebabkan oleh SARS-CoV-2, yaitu virus jenis baru dari coronavirus (kelompok virus yang menginfeksi sistem pernapasan). Infeksi virus Corona bisa menyebabkan infeksi pernapasan ringan sampai sedang, seperti flu, atau infeksi sistem pernapasan dan paru-paru, seperti pneumonia. Maraknya penyebaran penyakit yang diakibatkan oleh virus COVID-19 yang telah ditetapkan sebagai pandemi oleh WHO pada tanggal 12 Maret 2020 , akibat virus COVID-19 banyak pasien yang terjangkit mengalami kematian. Dalam mengelompokkan jumlah kematian penderita Covid-19 menggunakan teknik data mining metode k-means clustering. Data diambil dari dari link https://www.worldometers.info/coronavirus/. Hasil dari penelitian ini adalah cluster jumlah kematian penderita Covid-19 kedalam 3 cluster. terdapat 4 negara dengan cluster tingkat tinggi yaitu: Turki, Iran, India dan China dengan cluster tingkat sedang sebanyak 4 negara yaitu : Pakistan, Indonesia, Jepang, dan Piliphina dan dengan cluster rendah adalah 41 negara lainnya. Kata kunci: Data mining, Clustering, K-Means, Covid-19 Abstract - COVID-19 is caused by SARS-CoV-2, a new type of virus from coronavirus (a group of viruses that infects the respiratory system). Corona virus infections can cause mild to moderate respiratory infections, such as flu, or respiratory and lung system infections, such as pneumonia. The rise of the spread of diseases caused by the COVID-19 virus which has been established as a pandemic by WHO on March 12, 2020, due to the COVID-19 virus many patients who have contracted have died. In classifying the number of deaths of patients with Covid-19 using data mining techniques k-means clustering method. Data is taken from the link https://www.worldometers.info/coronavirus/. The results of this study are the cluster number of deaths of patients with Covid-19 into 3 clusters. there are 4 countries with high level clusters, namely: Turkey, Iran, India and China with medium level clusters as many as 4 countries namely: Pakistan, Indonesia, Japan, and the Philippines and with low clusters are 41 other countries. Keywords: Data mining, Clustering, K-Means, Covid-19

PEMBANGUNAN WEB E-COMMERCE B2B UNTUK MENINGKATKAN PEMASARAN PRODUK MENGGUNAKAN LINEAR SEQUENTIAL MODEL Nunung Hidayatun; Susafaati Susafaati; Hidayanti Murtina
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Internet causes trading activities to develop, namely by the existence of online product sales, this facility is called e-commerce. PT. Victoria Label is a PMA (Foreign Investment) company engaged in making woven labels and printed labels (printing labels), seal logos, and leather embosses, which of course are eager to get far greater profits by increasing product marketing. However, the business processes currently being implemented are fairly conventional, such as exhibitions, telephone sales, e-mails and other promotional media which have an impact on the high costs incurred and are considered to be less effective and efficient. Therefore, e-commerce web development at PT Victoria Label is deemed necessary to help improve the company's progress, using the Linear sequential model in the design of information systems. The results of this study are the application of e-commerce with B2B models to control business processes and to bring various efficiency of operational activities to the company. Keywords: E-Commerce, B2B, Linear sequential model, system design.

PENGEMBANGAN APLIKASI SISTEM INFORMASI REPOSITORI KARYA ILMIAH PADA STMIK PRABUMULIH Andi Christian; Muchlis Muchlis
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

The rapid development of Information Technology in the current era of globalization has become a fundamental need in supporting the effectiveness and quality of the education process. The Repository Information System is a place for processing and archiving data of scientific work in educational institutions. This scientific information system repository application was developed based on web site technology that is responsive to mobile software, it is hoped that with the development of this repository information system, young students can look for references. In developing an information system repository of scientific works using the Waterfall Method which is a method of developing information systems design systematically through predetermined stages. It is hoped that by developing information systems to manage scientific repositories, this scientific work can handle the scientific management problems of students and lecturers so that scientific work can be carried out effectively and efficiently.

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Home Page

OAI Link

Editorial Team

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Reviewer

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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

Abstract

Abstract

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Abstract

Abstract

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Abstract

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

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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