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All Journal Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing
Muhammad Safii
AMIK Tunas Bangsa Pematangsiantar
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Education Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Implementasi Data Mining Menggunakan Algoritma Apriori Pada Penjualan Sepeda Motor Jenis Honda (Studi Kasus : Showroom Honda Arista Pematangsiantar) Lestari Sinaga; Abdullah Ahmad; Muhammad Safii
MEANS (Media Informasi Analisa dan Sistem) Volume 5 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (964.229 KB) | DOI: 10.54367/means.v5i1.518

Abstract

Showroom Honda Arista merupakan salah satu showroom atau Dealer yang menyediakan jual beli kendaraan sepeda motor Honda dengan berbagai type dan harga. Data mining ialah serangkaian proses untuk menggali nilai tambah dari suatu kumpulan data berupa pengetahuan yang selama ini tidak diketahui secara manual. Salah satu metode yang data mining yang digunakan dalam penelitian ini adalah Metode Apriori. Metode Apriori merupakan salah satu teknik data mining yang berfungsi untuk menemukan aturan asosiatif antara suatu kombinasi item. Barang yang dianalisis yaitu barang yang dipesan bersamaan dengan barang lainnya atau dengan kata lain pemesanan lebih dari satu barang namun tetap melibatkan data pemesanan keseluruhan. Adapun item-item yang masuk kedalam data penjualan ialah Revo, Supra, Beat, Vario, Sonic, PCX, CB, Scoopy, Megapro, Verza, CBR. Hasil dari association yang berupa informasi mengenai Honda merk apa saja yang dibeli secara bersamaan oleh konsumen, dapat digunakan sebagai bahan pertimbangan untuk menetapkan Strategi Pemasaran dan pada data transaksi. Kata kunci: Showroom Honda, Data Mining, Apriori
Door Security Design Using Fingerprint and Buzzer Alarm Based on Arduino Mario Junianto Manurung; Poningsih Poningsih; Sundari Retno Andani; Muhammad Safii; Irawan Irawan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 1 (2021): Computer Networks, Architecture and High Performance Computing, January 2021
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i1.929

Abstract

The level of crime of theft in people's homes from time to time is increasing and increasingly unsettling for many people and various groups, from leading sources claiming that there has been an increase in theft in people's homes from the previous year, by conducting research objects in the community by identifying existing problems. It can be concluded that this happens because the house door security system still uses conventional which is classified as unsafe or easily broken into, by carrying out research method steps in the form of analysis and data collection and in the form of designing tools by describing some of the main supporting tools that the problem can be minimized by using technology that is currently developing that is already well systemized, namely using a microcontroller or Arduino as the main control center, assisted by using a fingerprint sensor as a process for recording and identifying fingerprints and NodeMCU for to connect to a WiFI network where later on that the door can also be controlled using android via a wifi network as a remote control and an alarm buzzer which will function if when the fingerprint identification process fails, the alarm will sound as a warning sign, it will be concluded to design a door safety device using arduino based fingerprint and alarm buzzer for better system. Which only fingers that have been registered and registered android can open the door. This research is expected to be able to optimize door security in people's homes to avoid crimes such as thieves.
Pengujian Peraturan Pemerintah Terhadap Kelayakan Penerima Bantuan Siswa Miskin Menggunakan Algoritma TOPSIS muhammad safii; Surya Ningsih
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 5, No 1 (2018): Teknovasi April 2018
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v5i1.163

Abstract

ABSTRACT The BSM Program is a National Program aimed at eliminating the barriers of poor students participating to school by helping poor students gain access to appropriate education services, prevent dropping out, attract poor students to return to school, help students meet needs in learning activities, support the Compulsory Education Program Basic Nine Years (even to the upper secondary level), as well as helping the smoothness of school programs. Through the BSM Program it is expected that school-aged children from poor households / families can continue to go to school, not dropping out of school, and in the future it is hoped that they can break the poverty chain that their parents are currently experiencing. The BSM program also supports the government's commitment to increase education participation rates in poor and remote districts / municipalities as well as to marginalized groups. This program is a direct aid to students and not a scholarship, because based on students' economic conditions and not on merit (scholarship) considering the condition of the students, while scholarships are given taking into account student achievement. In this research used support system with Technique for Order Performance method by Similarity to Ideal Solution or TOPSIS. This method is known as the weighted summing method. The basic concept of the TOPSIS method seeks a weighted sum of performance ratings on each alternative on all attributes. The TOPSIS method requires the process of normalizing the decision matrix (X) to a scale comparable to all the alternatives available so as to produce a ranking. Keywords: Decision Support System, BSM, Ranking, TOPSIS
Co-Authors Abdullah Ahmad Irawan Irawan Lestari Sinaga Mario Junianto Manurung Poningsih Poningsih Sundari Retno Andani SURYA NINGSIH