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All Journal Jurnal Eurekamatika Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Media Abdimas
Binastya Anggara Sekti
Universitas Esa Unggul
Humanities Computer Science & IT Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences Other

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Performansi K-NN, J48, Naive Bayes dan Regresi Logistik sebagai Algoritma Pengklasifikasi Diabetes Agung Mulyo Widodo; Yanathifal Salsabila Anggraeni; Nizirwan Anwar; Arief Ichwani; Binastya Anggara Sekti
Prosiding SISFOTEK Vol 5 No 1 (2021): SISFOTEK V 2021
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Diabetes is a chronic disease characterized by high blood sugar (glucose) levels. This disease is often found in adults who are elderly, but this disease can also attack people who are still young. Along with advances in machine learning technology to support decision makers, many predictive models are made of whether a person can be classified as diabetic or not by using certain algorithms. In this study, a prediction model was made whether a person is classified as diabetic or not, based on parameters/variables, namely weight, height, cholesterol levels, fasting sugar, non-fasting sugar, uric acid levels and gender. Prediction model is made using K-NN, J48 (based on decision tree), Naive Bayes and logistic regression classification algorithms. Then a performance analysis was carried out on the testing results of each of these algorithms, and it was found that the K-NN algorithm produced a prediction model with the highest accuracy compared to the three algorithms used in this study.
A Note on Relative Normal Subgroups Yudi Mahatma; Ibnu Hadi; Binastya Anggara Sekti
Jurnal EurekaMatika Vol 11, No 1 (2023): Jurnal Eurekamatika
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jem.v11i1.56092

Abstract

Let G be finite group and α∈Aut(G). In 2016, Ganjali and Erfanian introduced the notion of a normal subgroup of G which is relative to α, called the α-normal subgroup. In detail, N is an α-normal subgroup of G if for every g∈G and n∈N we have g^(-1) nα(g)∈N. In this research, we show that if N is an α-normal subgroup of G and τ∈Aut(G) then N is τ-normal in G if and only if α(g)τ(g^(-1) )∈N for every g∈G.Keywords: Group, Normal subgroup, α-normal subgroup.AbstrakMisalkan G grup hingga dan α∈Aut(G). Tahun 2016, Ganjali dan Erfanian memperkenalkan ide tentang suatu subgrup normal dari G relatif terhadap α, dinamakan subgrup normal-α. Secara rinci, N adalah suatu subgrup normal-α dari G apabila untuk setiap g∈G dan n∈N berlaku g^(-1) nα(g)∈N. Dalam penelitian ini diperlihatkan bahwa jika N adalah suatu subgrup normal-α dari G dan τ∈Aut(G) maka N normal-τ di G jika dan hanya jika α(g)τ(g^(-1) )∈N untuk setiap g∈G.
Pengenalan Aplikasi Bibliometrik “Dimensions” Dalam Menentukan Analisa Kutipan Artikel Multidispilin Berdasarkan Negara (Periode Tahun 2000 – 2022) Nizirwan Anwar; Ummanah Ummanah; Tri Ismardiko; Euis Sadeli; Alivia Yulfitri; Lista Meria; Binastya Anggara Sekti
Media Abdimas Vol 3 No 2 (2023): Jurnal Media Abdimas Vol 3 No 2 Juli 2023
Publisher : Universitas Persada Indonesia YAI

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Bibliometrik berasal dari bahasa Yunani yang berupa gabungan kata biblion (buku) dan kata metron (pengukuran). Istilah ini pertama kali diperkenalkan Raisig (1942) dan dipopulerkan oleh Alan Pritchard (1969) dalam artikelnya yang berjudul “Statistical Bibliography or Bibliometrics”. Analisis secara bibliometrik dilakukan dengan menggunakan data (csv dan ris/bib) dan penulis dalam mempublikasikan ilmiah serta artikel dan kutipan bertujuan untuk mengukur luaran individu atau tim peneliti, institusi, dan negara, mengidentifikasi jaringan nasional dan internasional serta memetakan pengembangan (visualisasasi) bidang ilmu sains dan teknologi baru (multidisiplin). Dimensions merupakan portal yang beroperasi secara daring yang mempunyai sebanyak 20 field of research, dalam pengenalan untuk menggunakan platform ini hanya jumlah kutipan dan negara di dunia (kuantitatif). Dengan mengambil asumsi tema atau topik “social, economic, communications and technology”, diperoleh keterkaitan dengan bidang kajian (35) Commerce, Management, Tourism and Services, (3507) Strategy Management and Organisational Behaviour, (44) Human Society, (46) Information and Computing Sciences dan (47) Language, Communication and Culture. Total data kuantitatif diperoleh 7.353 documents, 9.796 total link strength dan 130.232 citations untuk cakupan seluruh dunia (5 benua). Negara Indonesia di portal dimensions terdapat 52 documents 96 total link strength 655 citations, serta nomor urut 14 dari 24 negara di benua Asia.
Rancang Bangun Sistem Informasi Inventaris Barang di Gudang Berbasis Web Pada PT.XYZ Ilham Banuaji; Nizirwan Anwar; Binastya Anggara Sekti; Agung Mulyo Widodo
Prosiding SISFOTEK Vol 7 No 1 (2023): SISFOTEK VII 2023
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

PT. XYZ is a company engaged in the field of trading in goods, whose main activity is recording stock in and out of goods in warehouses, currently still using Microsoft Excel. Along with the development of the company, activity and the number of transactions also continues to increase, recording using Microsoft Excel is felt lacking because of frequent delays and othererrors or human errors. Another problem is regarding the inaccurate warehouse design, which makes it difficult to find goods. The purpose of this research is to overcome the problems that arise and expedite the process of recording data on goods entering or leaving the warehouse, searching for goods, making final reports, archiving, and data backup. In this study, the authors will use the prototype method which has three stages, namely Listen to Customer, Build and Revise Mockup, and Customer Test Drives mock-up. The results of this study are able to overcome the problems that occur in recording with Microsoft Excel and warehouse design. Utilization of a web-based inventory information system with this database is proven to be able to provide solutions to problems in inventory. It can be used as an integrated system for collecting, storing, searching for goods, and processing data, as well as reporting.
Implementasi Flutter Dalam Pengembangan Aplikasi Pemesanan Sangkar Burung Berbasis Android Andri Kurnia Maulana; Nizirwan Anwar; Binastya Anggara Sekti
Prosiding SISFOTEK Vol 7 No 1 (2023): SISFOTEK VII 2023
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

In recent years, mobile technology, including the field of electronic commerce, has seen rapid growth. Bird cages have become one of the most sought-after products in the bird trading industry. However, there are several issues to consider during the ordering process, which often consume time and effort. The objective of this research is to create and develop an Android-based bird cage ordering application with a user-friendly interface that allows people to quickly and easily select and purchase bird cages. The research methodology involves identifying the requirements for aspects such as material, size, bird cage design, and shipping information. Flutter enables user interface designers to display a list of bird cages with photos and details, as well as customization options. Firebase provides backend storage for storing history, authentication, and orders. The application features include registration, login, searching for bird cages, viewing details with images, ordering, tracking orders, and logging out. By offering a variety of bird cage options, this application streamlines the bird cage ordering process. Customers can monitor the status of their orders and easily choose the most suitable one. Flutter simplifies cross-platform development. Using the Flutter framework and Firebase as the backend, users can select and order bird cages according to customer or application user needs.
Co-Authors Alivia Yulfitri Andri Kurnia Maulana Euis Sadeli Ibnu Hadi Ichwani, arief Ilham Banuaji Lista Meria Nizirwan Anwar Tri Ismardiko Ummanah Ummanah Widodo, Agung Mulyo Yanathifal Salsabila Anggraeni Yudi Mahatma