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Spatial Dynamics of Vegetation Index Changes in the Weda Nickel Mining Area, Halmahera Island, Indonesia Rakuasa, Heinrich; Khromykh, Vadim V
Journal of Scientific Insights Vol. 3 No. 1 (2026): February
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v3i1.596

Abstract

Nickel mining in Weda, Halmahera Island, is one of the largest nickel mines in Indonesia, and its activities impact changes in vegetation indices and cover in the area. The research uses Landsat 8 satellite imagery from 2019, 2022, and 2025 with the NDVI algorithm to analyse changes in vegetation index values and vegetation cover. The research results show that the NDVI values for 2019 are the lowest at -0.233774 and the highest at 0.999903; for 2022, the lowest is -0.369486 and the highest is 0.799867; and for 2025, the lowest is -0.369486 and the highest is 0.530372. The NDVI values were then classified into 4 vegetation cover classes: active mining areas, sparse, moderate, and dense vegetation. The active mining area in 2019 was 1.27 km², in 2022 it was 11.91 km², and in 2025 it was 18.20 km². Sparse vegetation in 2019 covered 5.73 km², in 2022 it covered 6.03 km², and in 2025 it covered 8.07 km². Moderate vegetation in 2019 covered 5.72 km², in 2022 it covered 2.68 km², and in 2025 it covered 2.21 km². Dense vegetation in 2019 covered 522.64 km², in 2022 it covered 515.35 km², and in 2025 it covered 507.20 km². The presentation of the mining area continues to increase every year. The results of this research are expected to be used for continuous monitoring to ensure compliance with environmental standards and support rehabilitation programmes in Weda and other tropical mining areas.
Spatial Analysis of Land Cover Changes on Obi Island, Indonesia due to Nickel Mining Activities Wlary, Anelia P.; Purwantara, Suhandi; Rakuasa, Heinrich; Khromykh, Vadim V.
Jurnal Sumberdaya Alam dan Lingkungan Vol 12, No 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jsal.2025.012.03.2

Abstract

Obi Island in North Maluku Province, Indonesia, has undergone significant land cover changes due to the expansion of nickel mining activities, especially since official operations began in 2010; the conversion of built-up land and vegetated areas into mining and settlement zones has increased pressure on land carrying capacity and contributed to more frequent flooding during the rainy season. This study uses spatial analysis based on Landsat 5 (1995) and Landsat 8 OLI (2025) satellite imagery to map land cover changes over three decades. The results show an increase in built-up land area from 448.84 hectares to 698.67 hectares, as well as the emergence of a 4,963.67-hectare mining area in 2025, while open land, water bodies, and vegetation have significantly declined. These findings demonstrate the direct impact of mining activities on landscape dynamics and the local environment, necessitating sustainable management and mitigation measures to maintain ecological balance and reduce the risk of related disasters.Keywords: LULC, Nickel Mining, Obi island
Application of GIS for Flood Modeling on Small Islands: A Case Study of Ternate Island, Indonesia Stewart Pertuack; Reinhard Nolly Limba; Juan S. I. Septory; Rakuasa, Heinrich
Journal of Scientific Insights Vol. 3 No. 2 (2026): April
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v3i2.697

Abstract

Floods are hydrometeorological disasters that occur almost every year in Indonesia, including Ternate City. Floods that occurred in 2024 caused 15 people to be injured, 16 people to die, and as many as 25 units of houses to be affected by this disaster. One of the disaster mitigation efforts is to map flood-prone areas by utilizing GIS and remote sensing data. The variables used consist of elevation, slope, LULC, distance from the river, soil type, and rainfall. This research uses the multicriteria evaluation method, in addition to the multicriteria evaluation method, and also uses weighted linear combination. The results showed that the area in the high flood vulnerability class was 15.08%, or 1,532.92 ha; the medium class was 31.24%, or 3,175.21 ha; and the area in the low flood vulnerability level had an area of 5,454.24 ha, or 53.67%. The built-up land predicted to be affected by future flooding has the largest extent in the high-risk zone, covering 1,147.59 ha or 54.12%, compared to built-up land in the moderate and low-risk zones.. The results of this study are expected to help the Ternate government in overcoming the flood problem there.
Analysis Antioxidant of Clove Leaves (Syzygium aromaticum) as a Source of Bioactive Compounds Wael, Syahran; Arini, Ine; Muskita, Marike; Rakuasa, Heinrich
RUMPHIUS Vol 8 No 1 (2026): RUMPHIUS Pattimura Biological Journal
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/rumphiusv8i1p047-054

Abstract

This study aimed to evaluate the antioxidant activity of the chloroform extract of clove leaves (Syzygium aromaticum) as a source of bioactive compounds. Unlike most previous studies that predominantly focused on essential oils or polar extracts of clove, this research specifically investigates the antioxidant potential of the semi-polar chloroform extract, which remains relatively underexplored. Extraction was performed using chloroform to obtain semi-polar compounds with potential biological activity. Phytochemical screening revealed the presence of phenolic compounds, flavonoids, tannins, and terpenoids, which are known to function as natural antioxidants. Antioxidant activity was assessed using the DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging assay based on the ability of the sample to neutralize free radicals. The results demonstrated an increase in percentage inhibition with increasing extract concentration, indicating a positive linear relationship between concentration and antioxidant activity. Linear regression analysis yielded an IC₅₀ value of 69.40 ppm, classifying the extract as having strong antioxidant activity. In comparison, ascorbic acid exhibited an IC₅₀ value of 8.75 ppm, indicating very strong antioxidant activity. This difference is attributed to the nature of ascorbic acid as a pure compound, whereas the chloroform extract consists of a complex mixture of secondary metabolites. The novelty of this study lies in highlighting the significant antioxidant potential of the semi-polar chloroform fraction of clove leaves, thereby expanding the understanding of solvent-specific bioactive compound distribution and providing new insight into its possible application in functional food and pharmaceutical development. Overall, the findings suggest that the chloroform extract of clove leaves has promising potential as a natural source of bioactive compounds for further development.
Co-Authors Abdul Muin Adi Jufriansah Adifan, Muhammad Rayhan Ahmad Jaelani Ahmat Rifai , Ahmat Rifai Amahoru , Abd H Amelia, Risky Nuri Amponsah, Anastasia Arda Fadhli Romadhon Ardin Suwandi, Mohamad ARINI, INE Aswan, Marwis Budnikov, Viktor Vladimirov Budnikov, Viktor Vladimirovich C Latue, Philia Christi Latue, Philia Daniel Anthoni Sihasale Darisera, Stiadi Darisera, Stiadi Ivanto Diaz Astiza , Diaz Astiza Do Huy-Hoang Dzaka A Faris Dzaka Ashriel Faris Fadlan Turi Faris, Dzaka. A Gustavo, Geoffrey John Pascal Halawa, Feberman Halim Halim Halim, Halim Helwend, Joseba Kristina Hidayatullah, Muh Hidayatullah, Muh. Imanuel Septory, Juan Steiven Joshua, Benson Juan S. I. Septory Kamiludin, Kamiludin Kappy, Tresia M Khromykh , Vadim V. Khromykh, Vadim V Khromykh, Vadim V. Khusnani , Azmi Kusratmoko, Supriatna, Eko Laitupa , Rizky Ahmad Langputeh, Sukree Latue , Philia Christi Latue, Philia Latue, Philia C Latue, Philia Christi Latue, Philia, Christi Latue, Theochrasia Latulanit , Abdul Kadir Letedara, Reindino Letedara, Reindino` Liwan, Sandy Lubis, Aufar Raynanda Luturmas, Jochbeth D. Maimina, Steiven Mehdil, Marhelin Chostansa Mehdila, Marhelin C Mohammad Amin Lasaiba Muh Hidayatullah Muh. Hidayatullah Muhammad Ikhsan Muskita, Marike Nathanya I Alicia Nordin, Norazah Nurul Achmadi , Panji Pakniany, Yamres Pertuak, Anesia Clorita Philia Christi Latue Pinoa, W S Pitri, Mellia Laura Purnama , Aventus Purwantara, Suhandi Rafly Aulya Rizky Nasution Rahayaan , Muhamad F. M. Raihan Rabbani Rajani , La Mbeli Rajani, La Mbeli RAMDHANI RAMDHANI Reinhard Nolly Limba Ria Karuna, Joan Rifai , Ahmat Rifai, Ahmat Rinaldi, Muhamad Rohima Wahyu Ningrum, Rohima Wahyu Sarfan , Riri Septory, Juan Steiven Imanuel Sihasale, Daniel A Sihasale, Daniel Anthoni Sipiel, Roni Somae, Glendy Stewart Pertuack Sugandhi, Nadhi Sugandhi, Nandhi Supriatna, s Susan E. Manakane, Susan E. Syahran Wael Tade , Ferdi Tambunan, Mangapul Parlindungan Tambunan, Rudy Parluhutan Tamrin Robo Tehupelasury, Syifa Triani, Triani Viktor Vladimirovich Budnikov Wahab, Wulan Abdul Wlary, Anelia P. Wulandari, Agustia Ayu Wutres, Sadrak L. Yamres Pakniany Yuni Andriyani Safitri