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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Ilmiah Sinus JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) METIK JURNAL Jurnal Informatika Kaputama (JIK) Jurnal Mantik Rambideun : Jurnal Pengabdian Kepada Masyarakat Jurnal Tika Mejuajua TECHSI - Jurnal Teknik Informatika Lentera
Angga Pratama
Universitas Malikussaleh
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : METIK JURNAL

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Penerapan Model Klasifikasi K-Nearest Neighbor Dalam Pencarian Kesesuaian Pekerjaan Mutammimul Ula; Ria Zulhusna; Rizki Putra Fhonna; Angga Pratama
METIK JURNAL Vol 6 No 1 (2022): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v6i1.343

Abstract

The application of job suitability is very important for companies/institutions in seeing the advantages of job applicants in accordance with their fields. then mobile-based information technology in finding job vacancies for applicants is very much needed for the required vacancies information and the suitability of the required formations. so that applicants can easily see the jobs that applicants need. The focus of this research problem is the existence of a mobile application in classifying job vacancies and the existence of a job information search menu according to the skills possessed and in accordance with the needs of mobile application-based jobs using the k-nearest neighbor (KNN) model. The purpose of this research is to apply a freelance application in aceh to help job search information according to the skills they have that match the needs of the job. The criteria available in the mobile application consist of a list of jobs, self-registration, a list of self-data weights, criteria and weights for recent education, work experience, marital status. The study was conducted with test data used 25 samples and applicants who registered consisted of 30 participants. the test results for the first registrant with the results of age 1, gender 0.5, GPA, 0.8, work experience 0.25, marital status 1 and passed with the value of the KNN calculation result is 0.406, the second applicant passed with a value of 0, 89 and the third did not pass with a value of 0.392. Job vacancies are obtained by taking 11 training data pieces that have the closest Euclidean distance to the questionnaire results. Furthermore, to test the accuracy using 30 samples with 24 accurate results and 6 inaccurate results.
Penerapan Fuzzy Times Series dan Regresi Linier dalam Melihat Stok Ketersediaan Beras Sayed Fachrurrazi; Angga Pratama; Syukriah Syukriah; Veri Ilhadi
METIK JURNAL Vol 7 No 1 (2023): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v7i1.561

Abstract

Salah satu komoditas terbesar Indonesia adalah beras. Dimana Perum Bulog berperan penting dalam menyediakan cadangan beras bagi negara untuk menjaga stabilitas nasional Menjelang panen raya, Perum Bulog harus menyusun strategi stok beras yang terencana dengan baik agar tetap tersedia. Karena harga pasar beras yang tinggi akan memicu ekspor beras dari luar negeri, maka harga gabah bisa turun saat petani panen raya akibat ekspor beras dari luar negeri jika pasokan beras Bulog menjadi langka. Ketika permintaan pasar akan beras tidak dapat dipenuhi, biasanya muncul persoalan ini. Penelitian ini dilakukan untuk meramalkan produksi beras nasional untuk kepentingan. Data yang digunakan dalam penelitian ini adalah data produksi stok beras nasional yang diperoleh dari bps.id dari tahun 2018 sampai dengan tahun 2021. Dimana uji harga beras kualitas premium untuk AFER sebesar 0,74444% dan RMSE sebesar 8,9422. Peramalan harga beras kualitas sedang nilai error AFER sebesar 0,22927% dan RMSE sebesar 1,732. Dan pengujian beras tidak bermutu diperoleh nilai error AFER sebesar 0,23640 dan RMSE sebesar 09,09439. Pengujian dengan menggunakan metode regresi linier diperoleh hasil peramalan kualitas beras premium; kualitas menengah dan luar memiliki hasil peramalan yang sama dengan nilai 87,62%, dengan demikian forecasting untuk harga beras sangat baik. Selanjutnya terlihat bahwa nilai akurasinya diatas 80% yang sangat tinggi dengan melalui pengujian.
Co-Authors Abror Abror Afta Adiyatma Wicaksana Afta Adiyatma Wicaksana Ananda Faridhatul Ulva Ar Razi Burhanuddin Burhanuddin Cut Ita Erliana Desuriyan Ramadhan Desvina Yulisda Eka Susanti Emi Maulani Eri Saputra Eza Pradanta Sitepu Fajar Tri Tri Anjani Fakrurrazi Hafizh Al Kautsar Aidilof Himmatur Rija ilham - sahputra Ilham Saputra Ilham Saputra Intan Aquiera Janner Simarmata M Wahyu Suranta Maulida Hasbi Mochamad Ari Saptari Muhammad Habib Mutammimul Ula Mutiara Fajar Rafika Rafika Ria Zulhusna Richki Hardi Rizki Mela Kurnia Rizki Putra Fhonna Rizki Setiawan Rizky Putra Phonna Salamah Salamah Sapna Biby Sayed Fachrurrazi Suheri Sujacka Retno Syukriah Syukriah Tsania Asha Fadilah Daulay Veri Ilhadi Wiwik Handayani yuli asbar Yulisda, Desvina Yunia Silfitri Zahratul Fitri Zurhijjah Zurhijjah