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All Journal Perspektif: Jurnal Pendidikan dan Ilmu Bahasa Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa JURNAL KELUARGA SEHAT SEJAHTERA
Nia Devi Friskauly
Unknown Affiliation
Earth & Planetary Sciences Education Health Professions Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Other

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Analisis Kesalahan Berbahasa Dan Struktur Dalam Jurnal Matematika Ika Febriana; Nia Devi Friskauly; Cecilia Br. Perangin Angin; Sikap Ruth Br. Tumorang
Perspektif : Jurnal Pendidikan dan Ilmu Bahasa Vol. 2 No. 2 (2024): Juni : Perspektif: Jurnal Pendidikan dan Ilmu Bahasa
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/perspektif.v2i2.1275

Abstract

It is very common to find journal publications and scienntific articles according to certain fields and the influence of a method on cases that have been investigated first, then reviewed in a scientific article. However, language errors are often found in scientific articles that have been read, both in spelling, punctuation, and so on. This research is qualitative research that uses descriptive methods. The data collection technique used in this research is document study. After conducting a review, the researcher still found several errors in language, for example the author still could not differentiate between standard and non-standart words. There are still structural errors. Therefore, through review by other researchers to analyze journals that have been released, it will certainly help to improve future journals.
Penyelesaian Masalah Limit Fungsi dengan Menggunakan Software MATLAB (Matrix Laboratory) Mikolis Etimanta Ginting; Eka Sri Hartini Hasibuan; Danu Rama Dani; Nia Devi Friskauly; Witri Wardani Hulu
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 6 (2024): November: Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan An
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i6.274

Abstract

The solutions of limit problems is one of fundamental concepts in real analysis, applicable in various fields of mathematics and other sciences. However, determining limit can sometimes present challenges, particularly when the fuction in question is complex and difficult to solve manually. This study demostrates the use of MATLAB as a tool to assist in solving such problems numerically. The findings show that MATLAB is realible in calculating the limits of specific fuctions, offering accurate solutions more efficiently and quickly compared to manual methods.
PREDIKSI JUMLAH KUNJUNGAN WISATAWAN ASIA TENGGARA KE INDONESIA MENGGUNAKAN RANTAI MARKOV DAN IMPLIKASINYA TERHADAP KESEJAHTERAAN KELUARGA LOKAL DI DAERAH PARIWISATA Cecilia Br Parangin-angin; Tambunan, Combest Prajogo; Nia Devi Friskauly; Sitorus, Novita Atika; Zalianti, Retno Ayu; Manullang, Sudianto; Nasution, Alvi Sahri
JURNAL KELUARGA SEHAT SEJAHTERA Vol 23 No 1 (2025): JURNAL KELUARGA SEHAT SEJAHTERA
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jkss.v23i1.55145

Abstract

Tourism is a strategic sector that contributes significantly to the national economy. One important indicator in this sector is the number of tourist visits from countries in Southeast Asia. This study aims to predict the number of tourist visits from countries in Southeast Asia to Indonesia using the Markov chain approach, a stochastic model that relies on the probability of transition between states. The data used is the number of tourist visits in 2024 obtained from the Central Statistics Agency (BPS). The number of visits is classified into three states: low, medium, and high. The analysis process includes the formation of a transition matrix, Markov properties test using the Chi-Square method, and steady state calculation using the Chapman-Kolmogorov equation. The test results show that the data fulfill the Markov properties, and the steady state prediction shows a stable long-term probability distribution of tourist visits.
Co-Authors Cecilia Br Parangin-angin Cecilia Br. Perangin Angin Danu Rama Dani Eka Sri Hartini Hasibuan Ika Febriana Manullang, Sudianto Mikolis Etimanta Ginting Nasution, Alvi Sahri Sikap Ruth Br. Tumorang Sitorus, Novita Atika Tambunan, Combest Prajogo Witri Wardani Hulu Zalianti, Retno Ayu