cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Asrirawan
Contact Email
asrirawan@unsulbar.ac.id
Phone
+6285214495284
Journal Mail Official
ejomta@unsulbar.ac.id
Editorial Address
Jalan Prof. Dr. Baharuddin Lopa, SH Talumung, Majene Sulawesi Barat
Location
Kab. majene,
Sulawesi barat
INDONESIA
Journal of Mathematics: Theory and Applications
Published by Universitas Sulawesi Barat
ISSN : 26859653     EISSN : 27222705     DOI : https://doi.org/10.31605/jomta
Core Subject : Education,
Mathematics
JOMTA Journal of Mathematics Theory and applications is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in the research. JOMTA Journal of Mathematics Theory and applications disseminates new research results in all areas of mathematics and their applications. Besides research articles, the journal also receives survey papers that stimulate research in mathematics and their applications. The scope of the articles published in this journal deal with a broad range of mathematics topics, : Numerical Analysis Modeling and Simulation Logic Geometry and Topology Discrete Mathematics and Combinatorics Control and Optimization Applied Mathematics Analysis Algebra and Number Theory Computational Mathematics Statistics and Probability
Arjuna Subject : Matematika - Matematika Terapan
Articles 84 Documents
 5   6   7   8   9 
Akurasi Nilai Peramalan Harga Cabai Rawit Merah di Kota Makassar dengan Metode Single Exponential Smoothing Arisandi, Arwini
Journal of Mathematics: Theory and Applications Vol 7 No 1 (2025): Volume 7, Nomor 1, 2025
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v7i1.4780

Abstract

Red cayenne pepper is a food commodity that is widely cultivated in Indonesia. This chili is in demand from domestic to foreign markets, so the price of chili can fluctuate under certain conditions. This is a concern that forecasting chili prices is important as a step for policymakers in making policies. Data obtained from the Makassar City Food Security Service amounted to 671 data (days) modeled using the single exponential smoothing forecasting method, which aims to assess the ability of forecasting results for the price of red cayenne pepper in Makassar City. The results show that descriptively the lowest chili price occurred in September 2023 at IDR 13,000 to IDR 15,000, while the highest chili prices will occur at the end of 2023 at IDR 70,000 to IDR 80,000. The resulting MAPE value is 6.50% < 10%, so it is concluded that the single exponential smoothing model provides excellent forecasting capabilities in forecasting the price of red cayenne pepper in Makassar City.
Pemodelan Geographically Weighted Regression (GWR) pada Prevalensi Severely Stunting di Indonesia Tahun 2023 Idris, Muh Akbar; Nur Aidi, Muhammad
Journal of Mathematics: Theory and Applications Vol 7 No 1 (2025): Volume 7, Nomor 1, 2025
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v7i1.4873

Abstract

Stunting masih menjadi tantangan kesehatan global yang kritis, terutama di negara berkembang seperti Indonesia, di mana tingkat prevalensi nasional mencapai 20,8% pada tahun 2023. Penelitian ini menggunakan Geographically Weighted Regression (GWR) untuk menganalisis faktor-faktor yang bervariasi secara spasial yang memengaruhi prevalensi stunting parah di berbagai provinsi di Indonesia. Dengan memanfaatkan data dari Survei Kesehatan Dasar Nasional (RISKESDAS) tahun 2013 dan 2018, penelitian ini mencakup variabel seperti pemberian ASI eksklusif, sanitasi rumah tangga, pernikahan dini, imunisasi, dan status sosial ekonomi. Hasil penelitian menunjukkan adanya heterogenitas spasial yang signifikan, dengan determinan utama seperti pemberian ASI eksklusif (X1), sanitasi yang memadai (X3), dan pernikahan di bawah umur (X6) menunjukkan dampak yang bervariasi di berbagai wilayah. Provinsi di Indonesia bagian timur, seperti Papua dan Maluku, menunjukkan prevalensi stunting yang lebih tinggi terkait dengan faktor sosial ekonomi dan lingkungan yang bersifat lokal. Model GWR menunjukkan performa yang lebih baik dibandingkan regresi global, menangkap ketergantungan spasial (Moran’s I = 0.303, p < 0,001) dan menekankan perlunya intervensi yang spesifik untuk setiap wilayah. Rekomendasi kebijakan menekankan perbaikan yang terarah dalam bidang gizi, sanitasi, dan pendidikan untuk mengatasi disparitas dan mencapai target nasional penurunan stunting sebesar 14% pada tahun 2024.Stunting remains a critical global health challenge, particularly in developing countries like Indonesia, where the national prevalence rate was 20.8% in 2023. This study employs Geographically Weighted Regression (GWR) to analyze spatially varying factors influencing severe stunting prevalence across Indonesian provinces. Utilizing data from the 2013 and 2018 National Basic Health Surveys (RISKESDAS), the research incorporates variables such as exclusive breastfeeding, household sanitation, early marriage, immunization, and socioeconomic status. Results reveal significant spatial heterogeneity, with key determinants like exclusive breastfeeding (X1), adequate sanitation (X3), and underage marriage (X6) showing varying impacts across regions. Provinces in eastern Indonesia, such as Papua and Maluku, exhibited higher stunting prevalence linked to localized socioeconomic and environmental factors. The GWR model outperformed global regression, capturing spatial dependencies (Moran’s I = 0.303, p < 0.001) and highlighting the need for region-specific interventions. Policy recommendations emphasize targeted improvements in nutrition, sanitation, and education to address disparities and achieve Indonesia’s national stunting reduction target of 14% by 2024.
Portofolio Saham Optimal dengan Mean-Gini dan Modigliani-Squared: Studi Kasus Saham JII Akbar, Akbar; Ekawati, Darma
Journal of Mathematics: Theory and Applications Vol 7 No 1 (2025): Volume 7, Nomor 1, 2025
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v7i1.4982

Abstract

This study aims to develop the composition and determine the optimal portfolio of stocks listed in the Jakarta Islamic Index (JII) 70 using a quantitative approach. The Mean-Gini method is employed to obtain the portfolio with the highest expected return and the lowest risk. The data analyzed consists of monthly closing prices of five JII 70 stocks, namely TLKM (Telkom Indonesia), ISAT (Indosat), ADRO (Adaro Energy Indonesia), BRMS (Bumi Resources Minerals), and CTRA (Ciputra Development), covering the period from January 2020 to December 2023. The performance of the optimal portfolio is evaluated using the Modigliani–Squared (M²) method on 25 portfolio combinations. The results indicate that the optimal portfolio, based on the M² index, is the first portfolio, comprising two stocks with an investment proportion of 34.32% in BRMS and 65.68% in ADRO. These findings provide strategic insights for constructing an efficient Sharia-compliant portfolio based on risk and return considerations.
Analisis Tingkat Pengangguran Terbuka di Provinsi Maluku Menggunakan Rantai Makrov Husnah, Maulida; da Costa, Julieta; Lestaluhu, Fitri; Apriyanti, Maulita Dwi; Mahubessy, Juan Felix Benicktus; Kilikily, Aditia Rajasa Kifta; Hatala, Devita; Yudistira, Yudistira
Journal of Mathematics: Theory and Applications Vol 7 No 2 (2025): Volume 7, Nomor 2, 2025
Publisher : Program Studi Matematika Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jomta.v7i2.5264

Abstract

Berdasarkan pada permasalahan fluktuasi tingkat pengangguran terbuka di Provinsi Maluku yang berdampak pada aspek sosial serta ekonomi, penelitian ini bertujuan untuk menganalisis pola juga transisi tingkat pengangguran terbuka pada 11 kabupaten atau kota di Maluku pada kurun waktu tahun 2020–2024 dengan penggunaan model rantai Markov. Metode tersebut menggunakan pengumpulan data sekunder dari BPS beserta klasifikasi data pengangguran ke dalam beberapa kategori. Selain itu, dilakukan perhitungan pada matriks probabilitas transisi, serta analisis peluang menuju absorbing state. Penelitian menemukan absorbing state ada pada kondisi pengangguran rendah serta sangat tinggi berarti sistem cenderung stabil pada dua kondisi itu dalam jangka panjang sementara peluang transisi dari state transien memperlihatkan kecenderungan kuat ke absorbing state itu. Sebagai simpulan, model rantai Markov secara efektif mengidentifikasi dinamika juga kecenderungan pergeseran tingkat pengangguran antar wilayah yang ada di Maluku, sehingga dapat menjadi dasar pertimbangan untuk perumusan kebijakan ketenagakerjaan yang lebih adaptif juga prediktif.

Page 9 of 9 | Total Record : 84

 5   6   7   8   9 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol 7 No 2 (2025): Volume 7, Nomor 2, 2025 Vol 7 No 1 (2025): Volume 7, Nomor 1, 2025 Vol 6 No 1 (2024): Volume 6, Nomor 1, 2024 Vol 6 No 2 (2024) Vol 5 No 2 (2023): Volume 5, Nomor 2, 2023 Volume 5, Nomor 1, 2023 Volume 4, Nomor 2, 2022 Volume 4, Nomor 1, 2022 Volume 3, Nomor 2, 2021 Volume 3, Nomor 1, 2021 Volume 2, Nomor 2, 2020 Volume 2, Nomor 1, 2020 Volume 1, Nomor 2, 2019 More Issue