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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

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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): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

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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): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

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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 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

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.

Kesopanan Dalam Email Mahasiswa Kepada Dosen Khatimah, Khusnul; Safii, M.; Liyana, Cut Irna; Mualafina, Rawinda Fitrotul
EDU SOCIATA ( JURNAL PENDIDIKAN SOSIOLOGI ) Vol 7 No 2 (2024): Edu Sociata : Jurnal Pendidikan Sosiologi
Publisher : EDU SOCIATA ( JURNAL PENDIDIKAN SOSIOLOGI )

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33627/es.v7i2.3002

This study aims to analyze the politeness strategies employed by students in emails sent to lecturers, particularly in the context of submitting assignments. The research focuses on identifying the structure of the emails and the types of politeness strategies, both positive and negative, reflected in these formal communications. The data consists of a collection of student emails analyzed using a mixed-method approach (quantitative and qualitative). The analysis examines the email structure, including the opening, body, and closing sections, as well as politeness strategies based on Brown and Levinson's framework (1987). The findings reveal that students often use positive politeness strategies through expressions of gratitude and respectful markers, including polite salutations and culturally specific honorifics such as terms of respect in Bima language. Negative politeness is also observed through the use of apologies and permission-seeking to show respect and maintain good relations with lecturers. However, some students neglect essential elements of email structure, such as opening salutations or closings, with some emails consisting solely of attachments without any accompanying text. These findings highlight the need to enhance students' formal communication skills, particularly in academic contexts, to ensure appropriate politeness in professional interactions.

Jaringan Saraf Tiruan Untuk Memprediksi Tingkat Pemahaman Sisiwa Terhadap Matapelajaran Dengan Menggunakan Algoritma Backpropagation Solikhun, Solikhun; Safii, M.; Trisno, Agus
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Prediction of students 'understanding of the subject is important to know the extent to which the students' understanding of the subjects presented by educators when teaching and learning activities and to determine the ability of educators in delivering subjects. Artificial Neural Network to predict the level of students' understanding of subjects using backpropagation learning algorithm uses several variables: Knowledge, skills / abilities, assessment and workload and guidance and counseling. Backpropagation learning algorithm is applied to train eight indicators to predict the level of students' understanding of the subjects. The test results obtained by the student's understanding level prediction accuracy rate of 90% with a 6-5-1 architecture.

Implementasi Web Commerce Sebagai Media Pelatihan Kewirausahaan Mahasiswa Safii, M.
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

This study proposes a dynamic web-based information system using a content management system (CMS) osCommerce with PHP programming language and MySQL database. Utilization of a dynamic web Content Management System has advantages of easy and friendly in content management. Realtime information dissemination network using the Internet will bring up a quick response from the customer as the target market so that the main goal of entrepreneurial activity is achieved. With the implementation of web commerce information system is expected to be a solution for students as a means of self-employment training that has relevance to the subject so that students will have confidence in the start up of entrepreneurial activity as an effort to create their own jobs for students.

Jaringan Saraf Tiruan Untuk Memprediksi Tingkat Pemahaman Sisiwa Terhadap Matapelajaran Dengan Menggunakan Algoritma Backpropagation Solikhun, Solikhun; Safii, M.; Trisno, Agus
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v1i1.26

Prediction of students 'understanding of the subject is important to know the extent to which the students' understanding of the subjects presented by educators when teaching and learning activities and to determine the ability of educators in delivering subjects. Artificial Neural Network to predict the level of students' understanding of subjects using backpropagation learning algorithm uses several variables: Knowledge, skills / abilities, assessment and workload and guidance and counseling. Backpropagation learning algorithm is applied to train eight indicators to predict the level of students' understanding of the subjects. The test results obtained by the student's understanding level prediction accuracy rate of 90% with a 6-5-1 architecture.

Implementasi Web Commerce Sebagai Media Pelatihan Kewirausahaan Mahasiswa Safii, M.
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v1i1.32

This study proposes a dynamic web-based information system using a content management system (CMS) osCommerce with PHP programming language and MySQL database. Utilization of a dynamic web Content Management System has advantages of easy and friendly in content management. Realtime information dissemination network using the Internet will bring up a quick response from the customer as the target market so that the main goal of entrepreneurial activity is achieved. With the implementation of web commerce information system is expected to be a solution for students as a means of self-employment training that has relevance to the subject so that students will have confidence in the start up of entrepreneurial activity as an effort to create their own jobs for students.

PELATIHAN PENGINPUTAN DATA SECARA OTOMATIS DI MICROSOFT EXCEL MENGGUNAKAN DATA FORM DAN MACRO VBA (BASIC FOR APLICATION) DI SMA IT UNGGUL AL-MUNADI MEDAN Siregar, Elida Tuti; Alfina, Ommi; Puspita, Dahlia; Safii, M.
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 2 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No2.pp150-154

Automatic data input using Microsoft Excel as a number processor or application for automatically processing data such as numerical values, mathematical formulas and making financial reports hone students' skills in knowledge of the use of computer technology, which is a basic need nowadays to operate a computer, a skill that students must master in the future world of work. because computer operating skills are really needed by companies, especially the Microsoft Excel application to process technology-based company data in determining decision makers in a company. This training will produce graduates who can operate computers and input data automatically. This activity provides skills and knowledge to students at SMA IT Unggul Al Munadi Medan using Microsoft Excel to process and input data automatically with Visual Basic forms and macros (VBA)

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