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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Cahaya Mandalika
Asy'ari, Vaizal
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Transportation

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COMPARISON OF NAÏVE BAYES AND K-NEAREST NEIGHBOR MODELS FOR IDENTIFYING THE HIGHEST PREVALENCE OF STUNTING CASES IN EAST JAVA Herlambang, Teguh; Asy'ari, Vaizal; Rahayu, Ragil Puji; Firdaus, Aji Akbar; Juniarta, Nyoman
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2153-2164

Abstract

Indonesia will experience a demographic bonus in 2030, where the productive age group will dominate the population and become a buffer for the economy. However, this potential is in vain if human resources experience stunting. According to WHO (2015), stunting is a disorder of child growth and development due to chronic malnutrition and repeated infections, characterized by below-standard length or height. Based on the background of the problem, the author wants to compare the prediction of the prevalence of the highest stunting cases in East Java using the Naive Bayes method and the K-Nearest Neighbor method. The stages carried out in this study are data collection, initial data processing, advanced data processing using the Naïve Bayes Method and K-Nearest Neighbor, and comparative analysis. The results of the implementation of the Naïve Bayes and K-Nearest Neighbor methods are in the form of stunting prevalence prediction charts with variables that affect LBW and TTD. The results of simulations conducted in 6 regions, the Naive Bayes method gets the highest accuracy value of 83.33% in simulation one and 66.67%. The smallest RMSE value is 0.382 simulation 1 and 0.469 simulation 2. This shows that the Naive Bayes method can predict well.
ANALISIS PENGELOLAAN PETTY CASH (KAS KECIL) PADA PT REGISTA BUNGA WIJAYA CABANG SURABAYA Asy'ari, Vaizal
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 3 No. 3 (2022)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v3i3.751

Abstract

Kas merupakan hal terpenting dalam setiap perusahaan, pada kas terdapat bagian dana kas kecil atau petty cash yang digunakan untuk pengeluaran yang berjumlah relatif kecil dan bersifat rutin. Penulis melakukan penelitian yang bertujuan untuk menganalisis pengelolaan petty cash di PT Regista Bunga Wijaya cabang Surabaya. Metode yang digunakan pada penelitian ini adalah metode deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara dan dokumentasi. PT Regista Bunga Wijaya cabang Surabaya menggunakan PUM (Pengajuan Uang Muka) atau Persekot dalam pembentukan dana petty cash. Metode yang digunakan berupa metode imprest, yaitu penetapan jumlah dana petty cash pada setiap periodenya selalu tetap. Dalam menggunakan dana petty cash akan dibuatkan PJUM (Pertanggungjawaban Uang Muka) sebagai laporan pertanggungjawaban penggunaan Persekot (Reimbursement). Hasil penelitian ini dalam pengelolaan petty cash di PT Regista Bunga Wijaya cabang Surabaya dapat diketahui prosedur pelaksanaan dan beberapa pencatatan yang diterapkan dalam melakukan kegiatan operasionalnya berupa PUM (Pengajuan Uang Muka) untuk pembentukan dana petty cash dan PJUM (Pertanggungjawaban Uang Muka) sebagai laporan pertanggungjawaban yang harus diselesaikan sebelum pengisian kembali dana petty cash.
Co-Authors Firdaus, Aji Akbar Nyoman Juniarta, Nyoman Rahayu, Ragil Puji Teguh Herlambang