Article Per Year (5 Year)
p-Index From 2019 - 2024
1.383
P-Index
This Author published in this journals
All Journal Jurnal Komtika (Komputasi dan Informatika) IJIIS: International Journal of Informatics and Information Systems Madaniya Community Empowerment Journal of Applied Data Sciences
Meidar Hadi Avizenna
Universitas Muhammadiyah Magelang, Indonesia
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
Data Mining Predicts the Need for Immunization Vaccines Using the Naive Bayes Method R Arri Widyanto; Meidar Hadi Avizenna; Nugroho Agung Prabowo; Kemal Alfata; Agus Ismanto
Journal of Applied Data Sciences Vol 2, No 3: SEPTEMBER 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v2i3.39

Abstract

In December 2019, SARS-CoV-2 caused the coronavirus disease (COVID-19) to spread to all countries, infecting thousands of people and causing death. COVID-19 causes mild illness in most cases, although it can make some people seriously ill. Therefore, vaccines are in various phases of clinical progress, and some of them have been approved for national use. The current state of affairs reveals that there is a critical need for a quick and timely solution to the need for a Covid-19 vaccine. Non-clinical methods such as data mining and machine learning techniques can help to do this. This study will focus on US COVID-19 Vaccination Advances using Machine learning classification algorithms and Using Geospatial analysis to visualize the results. The paper's findings indicate which algorithm is better for a given data set. Naive Bayes algorithm is used to run tests on real world data, and is used to analyze and draw conclusions. Period of Accuracy and performance, and it was found that Naive Bayes is very superior in terms of time and accuracy.
Implementation of Apriori Data Mining Algorithm on Medical Device Inventory System Meidar Hadi Avizenna; R Arri Widyanto; Dwi Kusuma Wirawan; Teguh Adhi Pratama; Amandha Shafa Nabila
Journal of Applied Data Sciences Vol 2, No 3: SEPTEMBER 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v2i3.35

Abstract

The pattern of the need for drugs and medical devices in various hospitals has a tendency to be repeated and similar in a relatively long period of time, especially in one particular department, because the cases found are often similar or even similar. Ensuring the availability of stock in each departmental depot is very vital, because the procurement of medical devices must go through a certain process and time, so that cases of critical rheumatism often occur but the equipment needed at depositors does not meet the standards. need or run from inventory and must indent first. By calculating the trend of demand patterns and needs using an algorithm (Apriori Association) in the dataset, a rule is formed that in the pattern of dependence between itemsets that have supporting criteria in the form of 33.3% support and 85% Confidence, where the items that appear are items with frequency of occurrence and associations so that it can be taken into consideration to ensure the availability of drugs and medical devices.
With topological data analysis, predicting stock market crashes Nugroho Agung Prabowo; R Arri Widyanto; Mukhtar Hanafi; Bambang Pujiarto; Meidar Hadi Avizenna
International Journal of Informatics and Information Systems Vol 4, No 1: March 2021
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v4i1.78

Abstract

We are investigating the evolution of four big US stock market indexes' regular returns after the 2000 technology crash and the 2007-2009 financial crisis. Our approach is based on topological data processing (TDA). To identify and measure topological phenomena occurring in multidimensional time series, we use persistence homology. We obtain time-dependent point cloud data sets using a sliding window, which we connect a topological space for. Our research indicates that a new method of econometric analysis is offered by TDA, which complements the traditional statistical tests. The tool may be used to predict early warning signs of market declines that are inevitable.
Model Konseptual E-Da'wah Muhammadiyah Berbasis Web Nugroho Agung Prabowo; R Arri Widyanto; Bambang Pujiarto; Mukhtar Hanafi; Andi Widiyanto; Meidar Hadi Avizenna
Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 1 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v6i1.7093

Abstract

The development of information and communication technology has been proactively addressed by Muhammadiyah. Muhammadiyah has modernized da'wah methods by utilizing ICT technology in every activity, but it is still limited to media commonly used by the public such as social media, the web on the Internet, and so on, so that it is still limited, partial, and has not been systematic and structured ally serves its people and is constrained in monitoring and evaluation. The use of web based systems can be a solution to develop locations or e-da'wah based on geography while answering problems in the management and branch of the Muhammadiyah region in monitoring and evaluating its activities. The research method used is to use quantitative methods to obtain primary data to find out the user's desire for e-da'wah in Muhammadiyah citizens while the observation method and survey questionnaire are used to evaluate the acceptance of Muhammadiyah member users to the use of e-da'wah applications that have been made. This research aims to design a framework for the concept of web-based e-da'wah applications. As a result, the e-da'wah application model developed on a web-based basis has received responses from 57% of respondents who find it easy to understand the studies presented in this e-da'wah media.
Gerakan PANDAI: Pelatihan Computational Thinking Guru MAN pada Mata Pelajaran Bahasa di Kabupaten Magelang Meidar Hadi Avizenna; Muhammad Resa Arif Yudianto; Ardhin Primadewi; R. Arri Widyanto; Tuessi Ari Purnomo
Madaniya Vol. 3 No. 3 (2022)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.213

Abstract

Sesuai dengan regulasi yang dikeluarkan oleh Kementerian Pendidikan dan Kebudayaan (Kemdikbud) bahwa saat ini seorang pendidik diharuskan dapat menerapkan konsep Computational Thinking dalam memberikan pengajaran. Computational thinking merupakan sebuah metode penyelesaian masalah secara terstruktur, logis dan menyeluruh. Salah satu karakteristik penyelesaian masalah dengan konsep ini yaitu berpikir secara komputasi dalam menguraikan setiap masalah kompleks menjadi lebih kecil sehingga penyelesaian masalah lebih efektif dan efisien. Kemampuan tersebut harus dikuasai oleh guru dan siswa di Era Revolusi Industri 4.0 bahkan Society 5.0. Untuk mendorong kebijakan pemerintah maka dilakukan serangkaian kegiatan pelatihan untuk mewujudkan kemampuan berpikir secara komputasi kepada guru MAN yang mengampu mata pelajaran Bahasa di wilayah Kabupaten Magelang. Beberapa kegiatan tersebut diantaranya yaitu: (1) Persiapan dan koordinasi dengan Kemenag Kabupaten Magelang terkait data guru-guru yang akan diikutkan sebagai peserta, (2) menyelenggarakan webinar untuk guru tentang gerakan Pandai dan Computational Thinking, (3) menyelenggarakan pelatihan untuk guru tentang Computational Thinking dan penyelesaian soal melalui konsep Computational Thinking, dan (3) Melakukan evaluasi terhadap pemahaman guru tentang Computational Thinking melalui tugas. Hasil dari kegiatan ini adalah diperoleh peningkatkan 88,3% pengetahuan dari guru tentang berpikir secara komputasi. Namun masih ada 9,3% yang tetap dan 2,3 % yang menurun. Hasil pelatihan ini akan diterapkan dalam proses pengajaran terhadap siswa, sehingga diharapkan siswa akan memahami mata pelajaran khususnya mata pelajaran Bahasa secara lebih mudah serta dapat menyelesaikan setiap soal lebih mudah dan cepat dengan konsep berpikir secara komputasional.
Digital marketing for ring craftsmen in Basen Village, Kotagede, Yogyakarta Eko Muh Widodo; Meidar Hadi Avizenna; Tuessi Ari Purnomo
Community Empowerment Vol 7 No 11 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.7936

Abstract

One of the producers of handcrafted rings and jewelry is Mbasen, whose crafts are based on customer preferences. 9 workers can only produce 10–12 pairs of rings each day, which is still below the ideal manufacturing capacity. The marketing component has also not been utilized to its full potential. Community service projects are carried out to help the handmade ring jewelry business overcome the issues of low manufacturing capacity and ineffective marketing strategy. The approach used to provide the assistance is called community development, and it consists of four stages: socializing, training, technology deployment, and ongoing support. The technology that will be applied is information about Search Engine Optimization (SEO) which is used to expand the market through digital marketing and digital branding for website creation. To improve production capacity, the team additionally helped with the procurement of power inverters.
Applying the Apriori Algorithm to Analyze and Optimize Medical Device Inventory Management Meidar Hadi Avizenna
Journal of Applied Data Sciences Vol 3, No 4: DECEMBER 2022
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v3i4.33

Abstract

Extracting data or an effort to retrieve valuable knowledge and information in a large database is called data mining or Knowledge Discovery in Database or usually shortened as KDD . One of the most popular algorithm in data mining technic is Apriori Algorithm, while the discovery of “relational combination pattern among itemset used Association Rules”. Data mining has been implemented into the various fields like : business or trade, education and telecommunication. In business for instance, the implementation result of data mining use ‘algorithm Apriori which can give a hand to help the Businessmen make decision on supplies. For example, the necessity of supplies system in a drugstore as one of the medical stuff supplier, and to determine which product as the priority should be supplied to anticipate out of stock of supplies availability in the store, as the results will also affect to the consumer service and daily income. Medical tools are essential unit should be supplied and being and essential factor which will impact to the consumer trust to a hospital or another medical service. That is why the availability of medical tools in drugstores is completely needed to support the success of distribution to the consumers, so the activity of medical service to consumers run thoroughly. In this case, data mining is seen as able to built intelligent business environment as solution for competing increated competition among the drugstores in future.
Development of E-learning Muhammadiyah (El-Mu) at Mutual Junior High School, Magelang City Meidar Hadi Avizenna; R. Arri Widyanto; Purwono Hendradi; Mukhtar Hanafi; Nugroho Agung Prabowo; Bambang Pujiarto
Community Empowerment Vol 8 No 7 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.6982

Abstract

The Covid-19 pandemic which has had an impact on the education sector has forced educators to be more creative and innovative in preparing and implementing digital learning, without face-to-face meetings. Mutual Junior High School teachers already have these potentials, but they are not yet optimal. Some teachers already have digital materials in the form of learning media that use power points and videos. The problem that occurs, the materials owned by the teachers are not structured and there is no standard, even though they refer to the lesson plans. In addition, only a few teachers have used online evaluation. The purpose of this program is to help teachers prepare learning materials digitally in the form of PDF, PowerPoint and standardized videos. Programs carried out in the form of training to improve teacher skills. The results obtained were an increase in the number of digital learning materials in the form of PPT by 23%, online exam questions by 40%, and learning videos by 18%, all of which were used as digital learning media in E-learning Muhammadiyah (El-Mu).
Co-Authors Agus Ismanto Amandha Shafa Nabila Andi Widiyanto Ardhin Primadewi Bambang Pujiarto Bambang Pujiarto Bambang Pujiarto Dwi Kusuma Wirawan Eko Muh Widodo Kemal Alfata Muhammad Resa Arif Yudianto Mukhtar Hanafi Mukhtar Hanafi Mukhtar Hanafi Nugroho Agung Prabowo Nugroho Agung Prabowo Purwono Hendradi R Arri Widyanto Teguh Adhi Pratama Tuessi Ari Purnomo