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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Chemistry Indonesian Journal of Chemical Research Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Kaseside, Meidy
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Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Transportation

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Study Microstructure of Fe3O4 Modification Using PEG 4000 form Iron Sand at Wari Ino Beach As A Biosensor Application Kurnia, Kurnia; Kaseside, Meidy; Iwamony, Steven
Indonesian Journal of Chemical Research Vol 8 No 3 (2021): Edition for January 2021
Publisher : Jurusan Kimia, Fakultas Sains dan Teknologi, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/ijcr.2021.8-kur

Abstract

Fe3O4 encapsulated PEG form iron sand at wari ino beach has been successfully synthesized by co-precipitation method. The average particle size of the nanoparticle 11,3 nm was determined by scherrer formula. Fe3O4 modification PEG 4000 was successfully encapsulated the samples by the presence C-O-C and CH bonding that were characterized using Fourier Transform Infra Red (FTIR), X-Ray Diffraction (XRD) pattern shows that all samples are formed by single phase cubic spinel magnetite , and Scanning Electron Microscopy (SEM) shows the high dispersion capability while encapsulated process using PEG. The results of the characterization show that the Fe3O4 successfully encapsulated by PEG 4000.
Penerapan Metode Principal Component Analysis (Studi Kasus: Tingkat Kemiskinan di Kepulauan Maluku) Lesnussa, Trifena Punana; Utubira, Everd Elseos Martin; Kaseside, Meidy
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 3 No. 2 (2025): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v3i2.479

Abstract

The Maluku Islands are a high-poverty region in Indonesia. The region consists of 2 provinces, namely Maluku province and North Maluku province. There are 21 districts/cities in the region, with 17 regencies and 4 municipalities. The poverty rate in this region is a challenge that always wants to be studied with a socio-population approach and a mathematical statistics approach. One method or approach in analyzing poverty is Principal Component Analysis (PCA). PCA has the advantage of simplifying information from various variables to several principal components without losing much information and can overcome the problem of multiple linearity by changing variables that correlate with freely related components. The purpose of this research is to identify poverty in districts/municipalities in Maluku Islands using the PCA approach. The results showed that the components formed by the PCA method were formed in 2 factors. Factor 1 consists of GRDP (X2), Life Expectancy Rate (X3), Unemployment Rate (X4) and Percentage of Population (X6). Meanwhile, factor 2 consists of 2 variables, namely the Poverty Level (X1) and TPAK (X5).
VISIT PROFILES AND TOURISM DESTINATION THRESHOLDS USING POLYNOMIAL AND MALTHUSIAN Dalengkade, Mario Nikolaus; Kaseside, Meidy; Maatoke, Cornelia Dolfina; Boleu, Fiktor Imanuel; Buka, Oktosea; Loklomin, Samsul Bahri; Mangimbulude, Jubhar Christian
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.581 KB) | DOI: 10.30598/barekengvol16iss1pp113-120

Abstract

Kumo, Kupa-Kupa, Pitu, and Luari beaches are tourist destinations that are always crowded with local and foreign tourists. This becomes interesting, because recently the problem of human population density in an area has become a hot topic for study. Using the polynomial method, it resulted in 6th order with R2 0.950 (Kumo), 0.868 (Kupa-Kupa), 0.799 (Pitu), and 0.399 (Luari) representing the distribution of visits. The highest levels of visits occurred in the twelfth, fifth, fourth, and sixth months, respectively. The analysis by applying the logistics function shows the highest level of visits throughout 2018 which are Kumo 283.95 tourists, Kupa-Kupa 342.12 tourists, Pitu 81.77 tourists and, Luari 1088.35 tourists. Based on the threshold analysis, the threshold value shows 255.56 tourists (Kumo), 297.08 tourists (Kupa-Kupa), 65.58 tourists (Pitu), and 836.42 tourists (Luari). The results of this study inform the level of tourist visits exceeding the threshold value in four tourist destinations. Given that the four tourist destinations carry the concept of ecology as a selling point, the manager needs to reorganize the level of tourist visits. Excess levels of tourist arrivals can have a negative impact on the comfort and sustainability of tourist destinations
Co-Authors Boleu, Fiktor Imanuel Buka, Oktosea Cornelia Dolfina Maatoke Dalengkade, Mario Nikolaus Everd Elseos Martin Utubira Iwamony, Steven KURNIA KURNIA, KURNIA Lesnussa, Trifena Punana Loklomin, Samsul Bahri Mangimbulude, Jubhar Christian