Article Per Year (5 Year)
p-Index From 2021 - 2026
1.116
P-Index
This Author published in this journals
All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Semantik Techno.Com: Jurnal Teknologi Informasi Telematika Jurnal Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Jurnal Sistem Informasi Kaputama (JSIK) Dinamika Journal : Pengabdian Masyarakat IJIIS: International Journal of Informatics and Information Systems Power Elektronik : Jurnal Orang Elektro
Mohammad imron
Universitas Amikom Purwokerto
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Analysis of Data Mining Using K-Means Clustering Algorithm for Product Grouping Mohammad imron; Uswatun Hasanah; Bahrul Humaidi
International Journal of Informatics and Information Systems Vol 3, No 1: March 2020
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v3i1.3

Abstract

Rizki Barokah Store is one of the stores that every day sell a variety of basic materials of daily necessities such as food, drinks, snacks, toiletries, and so on. However, some problems occur in the Rizki Barokah Store is often a build-up of product stocks that resulted in the product has expired. This is due to an error in making decisions on the product stock. In addition to these problems, with the amount of sales data stored on the database, the store has not done data mining and grouping to know the potential of the product. Whereas data-processing technology can already be done using data mining techniques. To overcome the period of the land, the technique used in data mining with the clustering method using the algorithm K-means. With the use of these techniques, the purpose of this research is to grouping products based on products of interest and less interest, advise on the stock of products, and know the products of interest and less demand.
PERANCANGAN SISTEM KEAMANAN PINTU RUMAH MENGGUNAKAN TEKNOLOGI NEAR FIELD COMMUNICATION (NFC) BERBASIS MIKROKONTROLER ATMEGA 328 Darso Darso; Agung Prasetyo; Mohammad Imron; Retno Waluyo
Power Elektronik : Jurnal Orang Elektro Vol 12, No 1 (2023): POWER ELEKTRONIK
Publisher : Politeknik Harapan Bersama Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/polektro.v12i1.4411

Abstract

Kasus kejahatan berupa pencurian barang rumah tentu akan membuat penghuni rumah resah dan tidak nyaman. Dalam hal ini peran teknologi sistem keamanan merupakan kebutuhan yang sangat penting. Tujuan dari penelitian ini adalah rancang bangun alat sistem keamanan pintu menggunakan teknologi NFC berbasis mikrokontroler ATMEGA 328. Metodologi pengembangan sistem pada penelitian ini menggunakan metodologi Extreme Programming (XP) yang terdiri dari tahapan perencanaan, perancangan, penulisan kode, pengujian. hasil perancangan alat sistem keamanan pintu menggunakan teknologi NFC berbasis mikrokontroler ATMEGA 328 pada sistem minimum pada mikrokontroler atmega 328 dapat berfungsi sebagai kendali utama pada rangkaian mikrokontroler. Teknologi NFC pada alat ini mampu membaca data yang dikirimkan dari NFC pada smartphone dengan jarak 1-5 cm
Co-Authors Abednego Dwi Septiadi Bahrul Humaidi Cerly Widiyawati Chandra Setyawan Darso Darso Didit Suhartono Dwi Krisbiantoro Gagas Restu Sutikno Imam Tahyudin Islakhun Nur Dazki Kuat Indartono Lustiyono Prasetyo Nugroho Nandang Hermanto Prasetyo, Agung Primandani Arsi Purwadi Purwadi Retno Waluyo Siti Alvi Solikhatin Uswatun Hasanah