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All Journal Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi Jurnal Abdimas Bina Bangsa Prosiding Snastikom Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI)
Abdi Rahim Damanik
STIKOM Tunas Bangsa
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Physics Public Health Social Sciences Other

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Prediction of Mortlity Rate in Indonesia due to Covid-19 Using the Naïve Bayes Algorithm Abdi Rahim Damanik; Dedy Hartama; Irfan Sudahri Damanik
Sistemasi: Jurnal Sistem Informasi Vol 11, No 1 (2022): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (738.977 KB) | DOI: 10.32520/stmsi.v11i1.1519

Abstract

One of the functions of this research is to obtain the latest information regarding the level of accuracy and death rates due to the Covid-19 pandemic. One of the tasks of planning a response to a pandemic is to access data related to the number of deaths due to Covid-19. The research that the author is carrying out will predict the death rate due to the COVID-19 pandemic in Indonesia. This study collects all data sourced from the website address https://sinta.ristekbrin.go.id/covid/datasets. By using Indonesia's death rate data due to covid-19 from March 2020 to July 2021. The calculation process and prediction workflow will use the Naïve Bayes Algorithm to be able to measure accuracy and predict the death rate due to the coronavirus in 2022. Prediction testing data figures with a total of 20 the area is in the highest class with a death rate of 120,568 cases obtained based on the calculation of the Naive Bayes algorithm, for an accuracy performance of 100% by testing using Rapidminer tools. It is hoped that the results of this prediction can be used by the government to overcome and set plans for good improvements to the community during the coronavirus pandemic.
PENDEKATAN MACHINE LEARNING MENGGUNAKAN ALGORITMA C4.5 BERBASIS PSO DALAM ANALISA PEMAHAMAN PEMROGRAMAN WEBSITE P.P.P.A.N.W Fikrul Ilmi R.H. Zer; B. Herawan Hayadi; Abdi Rahim Damanik
Jurnal Informatika dan Teknik Elektro Terapan (JITET) Vol 10, No 3 (2022)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (464.772 KB) | DOI: 10.23960/jitet.v10i3.2700

Abstract

Bahasa Pemrograman merupakan notasi-notasi yang digunakan untuk menulis sebuah program di komputer. Berdasarkan tingkat populernya bahasa pemrograman PHP yang digunakan untuk membuat Website. Matakuliah pemrograman website menjadi tolak ukur mahasiswa dalam membuat website untuk digunakan pembuatan Tugas Akhir. Terdapat beberapa mahasiswa kesulitan dalam memahami pemrograman website yang mengakibatkan banyak mahasiswa yang mengalami kesulitan dalam membuat Tugas Akhir Variabel yang digunakan dalam penelitian ini adalah Kemudahan, Familiar, Cara Ajar Dosen, Spesifikasi Perangkat yang dibutuhkan, dan Bentuk Pemrograman. Tujuan dalan penelitian ini adalah untuk melakukan mengklasifikasi pemahaman mahasiswa terhadap pemrograman website menggunakan metode C4.5 berbasis PSO dengan data sebanyak 100 sampel di AMIK Tunas Bangsa Pematangsiantar. Penelitian ini menghasilkan nilai akurasi data sebesar 83,00% dengan variabel Kemudahan merupakan node tertinggi. Dengan hasil penelitian ini dapat memberikan keputusan yang akan diambil oleh pihak AMIK Tunas Bangsa mengatasi permasalahan tersebut.
PELATIHAN IMPLEMENTASI PROGRAMMING WEB MENGGUNAKAN BOOTSTRAP PADA SMK TELADAN PEMATANG SIANTAR Abdi Rahim Damanik; Widodo Saputra; Dedy Hartama; Indra Gunawan; Surya Darma; Fahmi Firzada
Jurnal Abdimas Bina Bangsa Vol. 3 No. 2 (2022): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v3i2.233

Abstract

Mastery of Information and Communication Technology needs to be taught at all levels so that processes and activities can be carried out more quickly, easily and efficiently. Class XI students of SMK Teladan Pematang Siantar are required to have competencies that can be mastered before leaving school in the field of website programming. One of the competencies is being able to create websites or web-based applications using CSS and bootstrap. The purpose of this Community Service Activity is to provide training in developing mastery of website programming as interactive learning for Teachers of Exemplary SMK Pematang Siantar. The devotional method used includes lectures, question and answer, discussion and practice. The steps for the Community Service program are 1) Compiling and developing training materials, 2) Training Stage, 3) The practical assistance stage in the process of making website programming implementations using css and bootstrap. Community Service shows that the training that has been carried out on activities can improve students' abilities to develop knowledge in the process of implementing website programming using bootstrap
Pelatihan Peningkatan Kompetensi Programming Berbasis Desktop Menggunakan Software Visual Studio Net Pada SMK Swasta Islam Proyek UISU Siantar Abdi Rahim Damanik; Zulia Almaida Siregar; Susiani Susiani; Indra Gunawan
Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Vol. 3 No. 1 (2023): April : Jurnal Pengabdian Kepada Masyarakat Indonesia (JPKMI)
Publisher : Amik Veteran Porwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpkmi.v3i1.1393

Abstract

Technology in this era is growing rapidly, especially in the field of computers and technology. Where we can see that these developments can facilitate the work of humans or employees and employees. In the education sector, computer science is needed so that teachers can easily provide up-to-date material and are not left behind in today's very rapid technological developments. For this reason, training on programming-based computer science is needed. Many teachers or employees in their understanding of knowing computers are only limited to Ms. Because of that, Office is often used in daily activities. In computer science, there are actually many applications/programs that can make work easier. For this reason, this training was created to introduce one of the application programs in computer science, namely the Visual Studio Net application and the PHPMyAdmin Database. In the training activities carried out at the UISU Siantar Project Islamic Private Vocational School to build a desktop-based information system development process or an application embedded in a computer. Application designed with offline software that has been prepared by the school
Jaringan Saraf Tiruan Memprediksi Tingkat Penjualan Smartphone Di Wijaya Cell Pematangsiantar Menggunakan Metode Backpropagation Syahrial Azmi Pohan; M. Safii; Sundari Retno Andani; Muhammad Rafai; Abdi Rahim Damanik
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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

Abstract

This study aims to optimize profits and minimize losses from smartphone sales at Wijaya Cell stores that have been achieved in the future. The data used in this study were obtained directly from the Wijaya Cell store by conducting observations and interviews. The Wijaya Cell store is a communication technology that sells smartphones to be marketed to the public. The data that will be processed from the sale of the Wijaya Cell smartphone uses the Backprogation method which is an Artificial Neural Network. The data used is annual smartphone sales data from 2018-2021. From the results of research with training data experiments, it was found that the best architecture was 3-8-1 with 92% accuracy, MSE training was 0.0099974. It is concluded that the Backprogation method can be implemented in predicting smartphone sales results. By doing this research, it is hoped that it can provide input to the Wijaya Cell Shop in optimizing profits and minimizing losses from smartphone sales in the future
Co-Authors B. Herawan Hayadi Dedy Hartama Fahmi Firzada Indra Gunawan Irfan Sudahri Damani, Irfan Sudahri M. Safii Muhammad Rafai P.P.P.A.N.W Fikrul Ilmi R.H. Zer Sundari Retno Andani Surya Darma Susiani Susiani Syahrial Azmi Pohan Widodo Saputra Zulia Almaida Siregar