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All Journal Codeverse: Journal of Emerging Digital Realities
Nursani Salsabillah Akza
Universitas Negeri Medan

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Penerapan Peta Kendali Individuals–Moving Range (I-MR) dan Diagram Ishikawa dalam Analisis Pengendalian Kualitas Temperatur Wulan Fransiska Lubis; Nursani Salsabillah Akza; Elisabeth Putri Dayanti
Codeverse: Journal of Emerging Digital Realities Vol. 2 No. 1 (2026): CODEVERSE: Journal of Emerging Digital Realities
Publisher : Codeverse: Journal of Emerging Digital Realities

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Abstract

This study aims to analyze the stability of the temperature process using the Individuals–Moving Range (I-MR) control chart as one of the statistical quality control tools. The data used are secondary data consisting of 100 temperature observations arranged in chronological order and fulfilling the characteristics of continuous data with a single subgroup size (subgroup size = 1). The analytical method employed includes the Individuals Chart (I Chart) to monitor individual observation values and the Moving Range Chart (MR Chart) to monitor the variation between two consecutive observations. The results of the analysis indicate that, in the I Chart, all observation points are within the control limits, suggesting that the temperature process is generally in a statistically controlled condition. Meanwhile, in the MR Chart, one point was found to be outside the upper control limit, indicating the presence of a special cause variation in the form of a sudden change in temperature between two consecutive observations. To identify the possible causes of this deviation, an analysis using the Ishikawa diagram (5M+1E) was conducted, which shows that factors related to man, machine, method, material, measurement, and environment potentially affect process variation. Based on the findings, the temperature process is generally stable; however, further investigation of the deviation point is still required in order to improve process quality
Analisis Autokorelasi dan Pemodelan Spasial Tingkat Kemiskinan di Indonesia Aulia Zahra Panjaitan; Hilda Umayyah Anak ampun; M. Ridho Sahputra; Nursani Salsabillah Akza; Tia Ramadani; Zulkhairi
Codeverse: Journal of Emerging Digital Realities Vol. 2 No. 1 (2026): CODEVERSE: Journal of Emerging Digital Realities
Publisher : Codeverse: Journal of Emerging Digital Realities

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk menganalisis pola spasial dan keterkaitantingkat kemiskinan pada kabupaten/kota di Indonesia menggunakanpendekatan statistika spasial. Data yang digunakan mencakup 420 wilayah hasil penggabungan data sosial ekonomi dan data spasial. Metode analisis yang digunakan meliputi uji autokorelasi spasial global dengan Moran’s I, analisis autokorelasi spasial lokal menggunakan LISA, serta pemodelan regresi dengan pendekatan Ordinary Least Squares (OLS) dan Spatial Filtering. Hasil penelitian menunjukkan adanya autokorelasi spasial positif yang signifikan pada tingkat kemiskinan, yang mengindikasikan pola mengelompok (clustered). Analisis LISA mengidentifikasi adanya klaster kemiskinan tinggi di wilayah Indonesia bagian timur, khususnya Papua, serta klaster kemiskinan rendah di wilayah Jawa, Sumatera, dan Kalimantan. Model OLS menunjukkan bahwa variabel angka harapan hidup, rata-rata lama sekolah, dan pengeluaran per kapita berpengaruh signifikan terhadap tingkatkemiskinan. Namun, model Spatial Filtering memberikan hasil yang lebih baik dengan peningkatan nilai koefisien determinasi, sehingga mampu menjelaskan variasi kemiskinan secara lebih komprehensif dengan mempertimbangkan efek spasial.
Co-Authors Aulia Zahra Panjaitan Elisabeth Putri Dayanti Hilda Umayyah Anak Ampun M. Ridho Sahputra Tia Ramadani Wulan Fransiska Lubis Zulkhairi