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All Journal JMPM: Jurnal Matematika dan Pendidikan Matematika Jambura Journal of Mathematics JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Awwaliyah Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Dirasatul Ibtidaiyah Al-Mulk: Jurnal Pengabdian Masyarakat JURNAL INOVASI PENDIDIKAN DASAR DAN MENENGAH
Akolo, Ingka Rizkyani
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : JAMBURA JOURNAL OF PROBABILITY AND STATISTICS

 1 
Proyeksi Indeks Pembangunan Berwawasan Kependudukan (IPBK) Menggunakan Single Dan Double Exponential Smoothing (Studi Di Kabupaten Gorontalo 2024 – 2026) Akolo, Ingka Rizkyani; Umar, Razak; Yasin, Indri Afriani
Jambura Journal of Probability and Statistics Vol 5, No 2 (2024): Jambura Journal of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v5i2.24854

Abstract

The Population-Oriented Development Index (IPBK) is an important indicator for measuring regional development success, focusing on human resource quality. This study aims to project the IPBK for 2024–2026 and identify the best method for projecting the IPBK in Gorontalo Regency. The projection methods used are single and double exponential smoothing. The IPBK data for Gorontalo Regency was obtained from the 2024 BKKBN Central Publication. The variables include participation (X1), sustainability (X2), inclusiveness (X3), holistic integration (X4), equality (X5), and IPBK (X6). The data was analyzed using Minitab 16 software. The results indicate that the double exponential smoothing method outperforms the single exponential smoothing method for projecting the IPBK and its dimensions in Gorontalo Regency, achieving a MAPE value of less than 10\%. The IPBK projections and its dimensions for 2024–2026 using the double exponential smoothing method show an annual upward trend, predicting that by 2025–2026, Gorontalo Regency's IPBK status will rise from category 3 (upper-middle status) to category 4 (high status). This high status indicates that Gorontalo Regency has achieved significant progress in key indicators reflecting the welfare and quality of life of its residents. 
PERBANDINGAN MATRIKS PEMBOBOT ROOK DAN QUEEN CONTIGUITY DALAM ANALISIS SPATIAL AUTOREGRESSIVE MODEL (SAR) DAN SPATIAL ERROR MODEL (SEM) AKOLO, INGKA RIZKYANI
Jambura Journal of Probability and Statistics Vol 3, No 1 (2022): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v3i1.13582

Abstract

The spatial weighting matrix is very important to overview of the relationship between one location to another in the spatial regression. In this study, the authors compare the weighting matrix of queen contiguity and rook contiguity in the SAR and SEM models in stunting cases in Bone Bolango Regency, Gorontalo Province. The variables used are the number of IDL, the percentage of LBW, the amount of proper sanitation, the percentage of exclusively breastfed babies, and the number of poor people. The purpose of this study was to determine the factors that influence stunting in Bone Bolango Regency, compare the results of the analysis of the rook contiguity and queen contiguity matrices in the SAR and SEM models and determine the best model and weighting matrix in stunting modeling in Bone Bolango Regency. The results showed that the significant factor in the SAR model was the number of poor people, while the significant factors in the SEM model were the number of IDL, the number of proper sanitation, and the percentage of exclusively breastfed babies. In the SEM model, the p-value of queen contiguity is smaller than that of rook contiguity.The best model in this study is the SEM model.
Co-Authors Dukalang, Hendra Fastha Aulia Pradhani Fatimah Djafar Jhems Richard Hasan Kobandaha, Windi Nata Mohamad, Sabrina Nadjib Mujahid Damopolii Muluto, Fitri Yanti Munirah Munirah Nadjamuddin, Asriyati Napu, Dewi Darmiyani Ningsih, Setia Otaya, Lian Gafar Paembonan, Maya Paputungan, Patresia Pratama, Apriliyanus Rakhmadi Puspita, Ita Razak Umar Sarif, Suharia Susila, Muktar Redy Yasin, Indri Afriani