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Journal : Tensor: Pure and Applied Mathematics Journal

Mapping of the Transportation Sector in Maluku Province Using Biplot Analysis Leleury, Zeth Arthur; Radjabaycolle, Jefri Esna Thomas; ilwaru, Venn Y. I.; Sinay, Lexy Jansen; Wattimena, Abraham Z.
Tensor: Pure and Applied Mathematics Journal Vol 5 No 2 (2024): Tensor: Pure and Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol5iss2pp57-66

Abstract

The transportation sector is one sector that contributes to economic development. Economic activity will develop if it has good infrastructure and transportation facilities for accessibility. This study aims to map regencies/cities in Maluku province based on the characteristics of the transportation sector. The method used is Biplot analysis. Based on the results of the study, it was found that the results of mapping 11 regencies/cities in Maluku Province if grouped according to the location of the quadrant divided into 2 clusters, namely Cluster 1 consisting of the City Ambon, West Seram Regency, Central Maluku Regency, Buru Regency, Tual City, Southeast Maluku Regency, and Tanimbar Islands Regency. The seven regencies/cities have similar characteristics of the transportation sector in the percentage of villages where public transportation is available with fixed routes, the widest type of land surface is asphalt/concrete, and the road can be passed by four wheels throughout the year. While Cluster 2 consists of Eastern Seram Regency, South Buru Regency, Southwest Maluku Regency, and Aru Islands Regency. The four regencies have similar characteristics of the transportation sector in the percentage of villages based on the availability of land and sea transportation infrastructure, the availability of sea transportation infrastructure only, public transportation is not available or available without a fixed route, the widest type of land surface is in the form of soil or hardened with gravel, the road cannot be passed by four wheels or four wheels can pass but only in the dry season. Meanwhile, based on the Euclidean distance, it can be made more specific into 4 clusters, namely Cluster 1 is Ambon City, Cluster 2 includes West Seram Regency, Central Maluku Regency, Buru Regency, Tual City, Southeast Maluku Regency, and Tanimbar Islands Regency. Meanwhile, Cluster 3 includes Eastern Seram Regency, South Buru Regency, and Southwest Maluku Regency, and Cluster 4 is Aru Islands Regency.
Reduksi Noise Pada Citra Digital Menggunakan Metode Arithmatic Mean Filter Ciptoadi, Rayhan Khalid; Sersian, Sintia Sara; Allu, Rifaldi; Wattimena, Abraham Z.; Tilukay, Meilin Imelda
Tensor: Pure and Applied Mathematics Journal Vol 6 No 2 (2025): Vol 6 No 2 (2025): Tensor: Pure and Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol6iss2pp87-94

Abstract

Citra merupakan suatu bentuk informasi yang memiliki peranan yang cukup penting. Citra dapat berbentuk 2 dimensi seperti gambar, foto, ataupun lukisan. Citra sendiri sering digunakan oleh masyarakat untuk keperluan sehari-hari, mulai dari untuk hiburan sampai untuk pekerjaan. Citra dapat digunakan sebagai hiasan atau juga dapat digunakan sebagai sumber mata pencaharian, seperti contohnya foto, video, iklan, dan lain-lain. Kamera digital, CCTV, ataupun dashboard merupakan tools atau alat yang biasa digunakan untuk menangkap citra atau gambar. Namun, dalam proses akuisisi, transmisi, dan penyimpanan, citra digital sering kali terkontaminasi oleh noise. Noise adalah gangguan acak yang mempengaruhi nilai piksel dalam citra, menyebabkan distorsi visual dan mengurangi kualitas citra secara keseluruhan. Beberapa jenis noise yang umum ditemukan dalam citra digital termasuk Gaussian noise, salt-and-pepper noise, dan speckle noise. Noise atau kebisingan yang melekat pada gambar perlu ditangani dengan cara mereduksinya agar lebih jelas dengan metode filter mean arithmatic yang dapat mengurangi noise pada gambar gambar digital jauh lebih jelas setelah dikurangi. Penelitian ini bertujuan untuk menguji keefektifan metode ini dalam mereduksi noise pada citra sehingga menghasilkan citra atau gambar dengan kualitas yang lebih baik. Pada penilitian ini digunakan dua ukuran filter pada Arithmetic Mean Filter, yaitu ukuran 3x3 dan 5x5. Hasil yang diperoleh bahwa bahwa hasil denoising menggunakan filter 3x3 lebih baik dibandingkan dengan menggunakan filter 5x5. Dimana pada filter 5x5, gambar hasil denoise menjadi blur atau kabur dibandingkan pada gambar hasil denoise menggunakan filter 3x3.