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All Journal Jurnal Ulul Albab JTAM (Jurnal Teori dan Aplikasi Matematika) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Ilmiah Kesehatan Jurnal Medika Malahayati Jurnal Varian Inferensi Jurnal Bumigora Information Technology (BITe) Target : Jurnal Manajemen Bisnis JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Teknomatika (Jurnal Teknologi dan Informatika) Jurnal Pengabdian kepada Masyarakat Agrimansion: Agribusiness Management & Extension Jurnal Sains Teknologi dan Sistem Informasi juremi: jurnal riset ekonomi ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Unnes Journal of Mathematics JURNAL PENDIDIKAN INDONESIA: Teori, Penelitian, dan Inovasi Transformatif: Jurnal Pengabdian Masyarakat Jurnal Gizi dan Kuliner VARIANSI: Journal of Statistics and Its Application on Teaching and Research Jurnal Ilmiah Pengabdian dan Inovasi Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) Innovative: Journal Of Social Science Research Jurnal Sains Natural Jurnal Pelita Ilmu Pendidikan (JPIP) Jurnal Manajemen dan Ekonomi Terapan Journal of Mathematics and Applied Statistics Jurnal Ilmu Kesehatan Masyarakat (The Public Health Science Journal) Prosiding Seminar Nasional CORISINDO
Siti Soraya
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Prediksi Produksi Jagung dengan Menggunakan Metode Autoregressive Integrated Moving Average (ARIMA) Julyanti , Nafi’ah Zahra; Azmi, Rinda Fitriana; Azizah, Istin Fitriani; Soraya, Siti
CORISINDO 2025 Vol. 1 (2025): Prosiding Seminar Nasional CORISINDO 2025
Publisher : CORISINDO 2025

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/corisindo.v1.5263

Abstract

West Nusa Tenggara (NTB) is one of the largest corn producing provinces in Indonesia, but its production has not been optimal to meet the increasing domestic and global demand. Along with the rapid growth of industry in the Asian region, the supply of corn in the world market tends to be limited, which is around 13% of the total world corn production, this creates a gap between demand and availability. This study aims to predict corn production trends in NTB using the Autoregressive Integrated Moving Average (ARIMA) method based on time series data from 2001–2023 from NTB Satu Data. The ARIMA method was chosen because of its ability to model historical data patterns without independent variables, making it suitable for short-term forecasting in the agricultural sector. The forecast results show that corn production in West Nusa Tenggara Province is expected to continue to increase from 2024 to 2028, with an average annual growth of 4.78%. However, this growth rate tends to decrease from year to year, indicating a slowdown in the rate of production growth. The use of the ARIMA method is effective as a prediction tool for strategic planning to increase corn production, reduce dependence on imports, and stabilize market prices.
Analisis Regresi Spasial dan Pola Penyebaran pada Kasus Demam Berdarah Dengue (DBD) Hisbullah, Hisbullah; Al Jauziah, Hanief; Soraya, Siti; Azizah, Istin Fitriani
CORISINDO 2025 Vol. 1 (2025): Prosiding Seminar Nasional CORISINDO 2025
Publisher : CORISINDO 2025

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/corisindo.v1.5264

Abstract

Dengue Hemorrhagic Fever (DHF) is one of the endemic diseases whose spread is greatly influenced by environmental conditions, available health facilities, and the spatiality of an area. This study aims to analyze the pattern of DHF case distribution in NTB Province using the spatial regression method. By utilizing secondary data obtained from 2022, this study also analyzes the influence of five independent variables, namely population, number of general hospitals, poverty rate, number of health centers, and number of houses affected by flooding on the number of DHF cases in each district/city. Spatial analysis was carried out using the Spatial Autoregressive (SAR) model, preceded by a positive spatial autocorrelation test through the Moran index. The results of the study showed significant positive spatial autocorrelation (p <0.05), which indicates that areas with a high number of cases tend to border areas with high cases. The SAR model was proven to be better than the OLS model based on the R² (0.9986) and AIC (101.669) values. This finding is expected to be the basis for planning priority area interventions in controlling DHF cases in NTB Province in a spatial and targeted manner.
Prediksi Permintaan Reservasi Kamar Hotel Menggunakan Metode Fuzzy Time Series Saputra, Habibi Yusup; Aziza, Istin Fitriani; Soraya, Siti
CORISINDO 2025 Vol. 1 (2025): Prosiding Seminar Nasional CORISINDO 2025
Publisher : CORISINDO 2025

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/corisindo.v1.5298

Abstract

 Hotel reservation demand forecasting is a crucial component in hotel management for operational optimization and profitability. Time series reservation data is often volatile and uncertain, thus requiring an adaptive forecasting model. This study objective is to implements the Fuzzy Time Series (FTS) method to predict the number of weekly room reservations at a hotel in Gili Trawangan. Historical reservation data for 54 weeks from June 2024 to June 2025 is processed through three main stages: determining the universe of discourse, fuzzifying the data into seven fuzzy sets, and extracting knowledge to form Fuzzy Logical Relationship Groups (FLRG). The forecasting results are evaluated using actual data and show good model performance in capturing demand fluctuation patterns. The model accuracy measured by the Mean Absolute Percentage Error (MAPE) produces a value of 11.69%, indicating that FTS is an effective and promising method for forecasting hotel room demand with dynamic data characteristics.
Co-Authors Afnidia, Tria Agus Sofian Eka Hidayat Ahmad Ahmad Ahmad Zuli Amrullah Al Jauziah, Hanief Ananda, Laraswati Andika Ellena Saufika Hakim Maharani Anggarawan, Anthony Anthony Anggrawan Aryani, Wiwik Dyah Ashar Banyu Lazuardi Ayu Dasriani, Ni Gusti Aziza, Istin Fitriani Azizah, Istin Fitriani Azmi, Rinda Fitriana Badriyah, Lulu'ul Baiq Chandra Herawati Baiq Dinda Puspita Ayu Bryan Hakim Sakti Pradana Choirul Anwar christofer satria Daniel Happy Putra desventri etmy Devi Yulianti Dewi, Puspita Didiharyono, D. Dodiy Fahmeyzan Ekaningrum, Annisa Yuri Erwin Suhendra Ferdinandus Lidang Witi Firmansyah Firmansyah Firmansyah, Dodiy Fitriana Aziza, Istin Fitriana, Laili Fitriani, Anisa Gede Suwardika Gilang Primajati Gilang Primajati Gusnayanti, Riski Gusti Ayu Aghivirwiati Habib Ratu Perwira Negara Helna Wardhana Hendayanti, Ni Putu Nanik Herawati, Baiq Candra Herlina Putri, Novi Hidayat, Agus Sofian Eka Hisbullah Hisbullah I Gusti Ayu Desi Saryanti I Ketut Putu Suniantara I Nyoman Miyarta Yasa I Nyoman Yoga Sumadewa I Wayan Kusuma Di Biagi Ida Bagus Bayu Mahayana Indrawan Mulyadi Ismoen, Muhaimin Istin Fitriana Aziza Juanda, M. Rizky Ujiana Julyanti , Nafi’ah Zahra Khairan marzuki Khasnur Hidjah Kurnia, Indri Lalu Ganda Rady Putra Maesaroh Maesaroh Malik Ibrahim Mayasari, Rossa Melati Rosanensi Mohammad Fajri Mukti, M Thoriq Panca Mustakim, Asep Muttahid Shah Nata, I Gede Anjas Kharisma Nurhidayati, Maulida Pangaribuan, Daniel Phyta Rahima Primajati , Gilang Primajati, Gilang Primajati, Gilang Puspita Dewi, Puspita Putrajip, Mohamad Yudisa Putri, Andri Qatrunnada R. Ayu Ida Aryani Rabbani, Muhammad Haikal Rahima, Pitha Rahmiati, Baiq Fitria Ratmaji, Muji Regina Pricilia Yunika Riana Riana Rianti, Andri Putri Rifani Nur Sindy Setiawan Rizal, Ahmad Ashril Rizqi, Retno Inten Santi Puteri Rahayu Saputra, Habibi Yusup Setiawan Setiawan Setyawan, Ari Shilvia Nurin Ni’mah Sirojul Hadi Subhan Hadi Sufahani, Suliadi Firdaus Supiarmo, M. Gunawan Suriyati Suriyati Suriyati, Suriyati Syaharuddin Syaharuddin Ulul Azmi Widia Febriana, Widia Wirajaya Kusuma Yunika, Regina Pricilia Yustina Hendrayati Baba Zilullah Nazir Hadi