Article Per Year (5 Year)
p-Index From 2019 - 2024
0.983
P-Index
This Author published in this journals
All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik JOISIE (Journal Of Information Systems And Informatics Engineering) JATI (Jurnal Mahasiswa Teknik Informatika) Majalah Ilmiah METHODA
Safii, M.
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
KOMUNIKASI POLITIK AFRIZAL SINTONG-H. SULAIMAN PADA PEMILIHAN KEPALA DAERAH KABUPATEN ROKAN HILIR TAHUN 2020 Safii, M.; Nasution, Belli
Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Vol. 10: Edisi II Juli - Desember 2023
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Riau

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

Abstract

The presence of a partner with the AMAN jargon is an attraction in itself compared to other couples. This is Afrizal Sintong-H. Sulaiman is an energetic young couple from another couple, and it is certain that his energetic young spirit builds a more advanced Rokan Hilir. This study aims to determine political communication and use of media campaigns by Afrizal Sintong-H. Sulaiman in the 2020 election for the Regional Head of Rokan Hilir Regency. This research is a descriptive qualitative research using data collection techniques through observation, interviews, and documentation. Data were analyzed using the Miles and Huberman models. The results of the study stated that the communicators were the Regent and Deputy Regent, the Community Success Team (parents) and the Community (millennials). The results of this study indicate that the political communication of Afrizal Sintong-H. Sulaiman in the 2020 election for the Regional Head of Rokan Hilir Regency; Use verbal and nonverbal communication. The media used are face-to-face media, social media, external media and small format media. Keywords: Political Communication, Communication Style, Media Campaign
PERBANDINGAN ALGORITMA C4.5 DAN NAIVE BAYES UNTUK MEGUKUR MINAT PENJUALAN SEPATU Lubis, Nur Azizah; Safii, M.; Alfina, Ommi
Majalah Ilmiah METHODA Vol. 13 No. 3 (2023): Majalan Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol13No3.pp337-345

Abstract

The Second Gangbrand shoe shop is one that sells second-hand shoes or what you could also call quality and original second-hand shoes that have certain brands at affordable prices that are cheaper than the original price. This research aims to measure the level of customer interest by comparing the C4.5 algorithm method and the Naive Bayes algorithm. The data source was obtained from second gangbrand stores which were taken based on customer interest. So it is necessary to carry out data analysis to classify customer interest data using the C4.5 and Naive Bayes algorithms to compare accuracy and precision which are the benchmarks in this research. Calculations in this research were carried out manually using Microsoft Excel according to the C4.5 and Naive Bayes algorithm calculation models and then evaluated using the Rapidminer 10.3 tool which was used to help determine accurate values. After conducting research testing, the C4.5 algorithm received an accuracy value of 60.00% and a precision of 50.00%, while the Naive Bayes algorithm received an accuracy value of 60% and a precision of 33.33%. So it can be concluded that the two algorithms have the same accurate accuracy value, but in terms of precision value the C4.5 algorithm is superior in determining customer interest recommendations. It is hoped that the results of this research can provide input and information for future researchers.
Prediksi Jumlah Produksi Kelapa Sawit di Indonesia Menggunakan Algoritma Backpropagation Safii, M.; Alfina, Ommi
Majalah Ilmiah METHODA Vol. 14 No. 2 (2024): Majalan Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol14No2.pp166-174

Abstract

Indonesia is a country that has advantages in the agricultural sector which has the largest plantation and agricultural areas in ASEAN, one of which is oil palm plantations. Indonesia is one of the largest crude palm oil (CPO) business players in the world. More and more palm oil mills and oil palm land are being converted to oil palm cultivation, because oil palm plantations are more beneficial for farmers and palm oil processors. Palm oil plantations are still trying in several ways to maintain stable market demand, one of which is by increasing palm oil production, because palm oil is the main source of other product derivatives. Palm oil production fluctuates every month, but the ups and downs are caused by many factors, namely climate, rainfall, soil fertility, selling prices, and others. Reduced production has a direct impact on the income of farmers and workers in the sector, which in turn can cause economic instability. Actions are needed to ensure the continuity of this industry, one of which is by making predictions. One prediction technique is the Backpropagation artificial neural network. The prediction model can provide very accurate estimates of palm oil production at the provincial level. By analyzing historical data, this research can identify patterns that can help predict future palm oil production. The urgency lies in the strategic role of palm oil in the Indonesian economy.
PENERAPAN ALGORITMA BACKPROPAGATION DALAM MEMPREDIKSI JUMLAH JAMAAH HAJI PEMATANG SIANTAR Hambali, Humaidi; Safii, M.
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 8 No 1 (2024)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v8i1.3882

Abstract

Salah satu pilar utama agama Islam adalah melaksanakan ibadah haji bagi mereka yang mampu. Setiap tahun, jumlah jamaah pendaftar haji di Pematang Siantar mengalami kenaikan dan penurunan yang signifikan sehingga cukup kesulitan untuk merencanakan dan mengalokasikan sumber daya, akomodasi, transportasi, dan layanan pendukung lainnya dengan lebih efektif. Untuk menyelesaikan masalah diatas, diperlukan suatu cara untuk menganalisis jumlah jamaah pendaftar haji di Pematang Siantar. Salah satu metode yang dapat digunakan adalah metode Backpropagation dengan data pelatihan dari tahun 2018 hingga 2021 dan data pengujian dari tahun 2019 hingga 2022. Hasil yang dihasilkan menggunakan Aplikasi Matlab R2011a menunjukkan 3-11-1 sebagai arsitektur terbaik dengan tingkat akurasi 100%. Penelitian ini menunjukan bahwa pada tahun berikutnya akan ada 33 jamaah pendaftar haji di Pematang Siantar. Dapat disimpulkan bahwa algoritma backpropagation dapat digunakan sebagai metode yang mempermudah pencarian prediksi, dan tingkat akurasi yang diperoleh bergantung pada arsitektur yang digunakan.
PENERAPAN ALGORITMA K-MEANS UNTUK MENENTUKAN STATUS GIZI BALITA (STUDI KASUS: PUSKESMAS KECAMATAN JAWA MARAJA BAH JAMBI) Syaputri, Vera; Hartama, Dedy; Anggraini, Fitri; Safii, M.; Dewi, Rafiqa
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 6 No. 1 (2022): JATI Vol. 6 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v6i1.4630

Abstract

Gizi pada anak balita merupakan masalah yang sangat penting untuk diperhatikan terutama bagi orang tua dan tenaga kesehatan. Penelitian ini menggunakan teknik data mining yaitu algoritna K-Means untuk mengclustering gizi balita dengan menggunakan 3 cluster yaitu gizi baik, gizi buruk, dan obesitas. Variabel yang digunakan adalah berat badan dan tinggi badan balita. Berdasarkan hasil dari 60 data, jumlah balita yang mengalami status gizi baik pada puskesmas kecamatan jawa maraja pada cluster 0 terdapat 28 balita, pada cluster 1 terdapat 27 balita yang mengalami gizi buruk , dan terdapat 5 balita yang mengalami obesitas pada cluster 2. Diharapkan hasil penelitian ini dapat memberi masukan pada pihak puskesmas agar lebih memperhatikan asupan gizi pada balita sehingga dapat meningkatkan pertumbuhan dan perkembangan balita.
Co-Authors Alfina, Ommi Belli Nasution Dewi, Rafiqa Fitri Anggraini, Fitri Hambali, Humaidi Hartama, Dedy Lubis, Nur Azizah Syaputri, Vera