Muh. Rizki
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Workforce Classification in West Java 2018 With Random Forest Ahmad Safrian Fauzi; Muh. Rizki; Rendy Rendi; Ria Nurul; Tika Novitasari; Rani Nooraeni
Jurnal Matematika, Statistika dan Komputasi Vol. 17 No. 2 (2021): JANUARY 2021
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jmsk.v17i2.11680

Abstract

Pengangguran di Indonesia merupakan masalah yang serius. Tingginya angka pengangguran di Indonesia tersebut dikarenakan jumlah lapangan kerja yang tersedia tidak sebanding dengan jumlah angkatan kerja yang terus meningkat. Berdasarkan data BPS, Provinsi Jawa Barat sebagai penyumbang terbesar jumlah pengangguran di indonesia, dengan angka tingkat pengangguran terbuka sebesar 8,52 persen. Tujuan penelitian ini untuk melakukan klasifikasi penduduk angkatan kerja kedalam kelompok berstatus pengangguran atau bukan pengangguran (bekerja) di Provinsi Jawa Barat tahun 2018 dengan metode random forest menggunakan pendekatan machine learning. Model random forest ini dibentuk dengan 80 persen dari data total atau sebanyak 16.059 data untuk data training dan 20 persen dari data total atau sebanyak 4.015 data untuk data testing. Penelitian ini menggunakan data Sakernas 2018 dan terdapat tujuh variabel yang digunakan dalam penelitian, yaitu klasifikasi wilayah, jenis kelamin, umur, status perkawinan, tingkat pendidikan, pelatihan, dan pengalaman kerja. Dalam model random forest yang terbentuk, variabel status pernikahan dan tingkat pendidikan seseorang memiliki kontribusi besar dalam menentukan status pengangguran.
Sosialisasi Tertib Berlalu Lintas bagi Siswa SMP di Lagosi: Membangun Kesadaran dan Keselamatan di Jalan Raya Ismail Ali; Yustiana; Sabariah; Risnayanti; Baso Hamarullah Halim; Muh. Rizki; Muh. Dia Ikhsan Perdana
Compile Journal of Society Service Vol 2 No 1 (2024): September 2024
Publisher : YP-SDI Lamaddukelleng

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Abstract

The issue of traffic safety represents a significant concern in a number of contexts, including among students. The objective of the traffic order socialisation programme is to enhance the awareness and knowledge of junior high school students in Lagosi regarding the significance of orderly behaviour on the road. The socialisation programme comprised a series of activities, including the presentation of materials on traffic signs, basic traffic rules, and the adverse consequences of violating traffic regulations. Furthermore, simulations and interactive discussions were conducted with the objective of reinforcing students' comprehension of the scenarios they frequently encounter on a daily basis while traversing the roadways. It is anticipated that this pedagogical strategy will facilitate not only an understanding of traffic regulations, but also their practical application in the students' daily lives, whether as pedestrians, cyclists, or passengers. The results of this activity demonstrated a notable enhancement in students' comprehension of the significance of road safety, accompanied by a more favourable shift in attitude towards the practice of orderly traffic conduct. It is therefore anticipated that this socialisation programme will serve as an initial step in the moulding of a younger generation that is more disciplined and aware of traffic safety.