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Analisis Autokorelasi Spasial Global dan Lokal pada Data Kemiskinan di Provinsi Gorontalo
Alifa Fitriana Putri Yuaswan
; Diska Audian Maharani
; Ni Kadek Yuni Antari
; Luh Putu Deswinta Dharmariani
; Ni Kadek Intan Dwi Pratiwi
; Ni Luh Putu Suciptawati
Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Vol 5
, No 1
(2026)
This study aims to analyze the spatial pattern of poverty in Gorontalo Province in 2024 using global and local spatial autocorrelation approaches. The data used are the percentages of the poor population in each regency/municipality, obtained from the BPS. The analyses include descriptive statistical analysis, the Moran's Index test for global spatial autocorrelation, and the Local Indicators of Spatial Association (LISA) for local autocorrelation. The results show that poverty in Gorontalo Prov...
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Analisis Pengendalian Kualitas Produksi Ban Mobil dengan Metode Statistical Process Control (SPC)
Ni Putu Eka Martini
; Ni Kadek Kleo Dwi Handayani
; Aulia Sari Pratiwi
; I Komang Triatmaja Putra
; Ni Luh Putu Suciptawati
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Vol 4
, No 1
(2026)
This study aims to analyze the quality control of car tire production at Company X using the Statistical Process Control (SPC) method. The data used in this research are secondary data obtained from GitHub, consisting of weekly production and defect data observed over one year with a total of 52 observations. The analysis was carried out using descriptive statistics, histograms, P-charts, and cause-and-effect (Ishikawa) diagrams. The histogram results indicate that the distribution of defects is...
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Model Regresi Nonparametrik Spline Truncated Pada Angka Kematian Bayi di Provinsi Nusa Tenggara Timur
Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Vol 4
, No 3
(2025)
This study aims to model the Infant Mortality Rate (IMR) in East Nusa Tenggara Province using truncated spline nonparametric regression. In this study, IMR is associated with four predictor variables: the percentage of poor people, the percentage of pregnant women under 19 years of age, low birth weight, and life expectancy. These four variables have an unpatterned relationship, indicating the presence of a nonparametric component in the model. The truncated spline regression method was chosen b...
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Application of Conjoint Analysis with Attributes Determined Against the Selection of Expedition Services
International Journal of Applied Mathematics and Computing
Vol 2
, No 3
(2025)
This study aims to determine the level, attribute, and stimulus most considered by respondents in choosing expedition services. The method used is conjoint analysis by applying the conjoint analysis full-profile method to design the stimulus. The attributes and levels used are delivery type (ECO, REG, express, and same day), payment methods (cash and online transfers), service promotions (cost discounts and goods pick-up), and service responsiveness (responses to damage or loss of goods and resp...
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