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All Journal Jurnal Ecosolum SAINSMAT LaGeografiA Teknik Mesin "TEKNOLOGI" Forum Geografi Journal of Geoscience, Engineering, Environment, and Technology UNM Geographic Journal Jurnal Environmental Science Jurnal Ilmu Alam dan Lingkungan GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Prosperity: Journal of Society and Empowerment INOVASI: Jurnal Hasil Pengabdian Masyarakat Jurnal Natural Seminar Nasional Hasil Penelitian LP2M UNM Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Prosiding Seminar Nasional Dies Natalis Universitas Negeri Makassar SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam
Ichsan Invanni Baharuddin
Universitas Negeri Makassar
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Mine Dewatering Design for Re‑Mining in a Mined‑Out Laterite Nickel Pit: Case Study of South Pit, PT NPM, Central Sulawesi, Indonesia Ananda, Sri Sovia Duha; Baharuddin, Ichsan Invanni; Har, Rusli; Prabowo, Heri
Journal of Geoscience, Engineering, Environment, and Technology Vol. 11 No. 02 (2026): JGEET Vol 11 No 02 : June (2026)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2026.11.02.27643

Abstract

This study aims to design an effective mine dewatering system for the South Pit mined-out area of PT Nusajaya Persadatama Mandiri, supporting re-mining activities. The methods used include hydrological analysis to determine the design rainfall using the Log Pearson Type III distribution, calculation of rainfall intensity using the Mononobe method, and estimation of runoff discharge using the rational method based on the catchment area. The results show that the design rainfall is 72.2 mm/day with a rainfall intensity of 49.9 mm/hr and a catchment area of 13.47 ha. The total inflow into the pit is 0.48 m³/s (1,726 .20 m³/hr), requiring a sump capacity of 7,250.03 m³. The pumping system is designed using a DnD LCC-M 100 pump with a capacity of 300 m³/hr, operated for 14 hours/day. The pumped water is conveyed through a 6-inch diameter HDPE pipe to a trapezoidal open channel, where it is then discharged into a Water Management Pond (WMP) with a total capacity of 11,200 m³, consisting of four compartments. The research results indicate that the designed mine drainage system is capable of effectively controlling mine water, thereby supporting safe and efficient re-mining operations.
An Environmental Study of Coal Sedimentation in the Leban Muara Bungo Area of Jambi and a Prediction of Its Quality Distribution Anarta, Rudy; Duha Ananda, Sri Sovia; Fadhly, Ahmad; Baharuddin, Ichsan Invanni; Aditya, Fariz
Journal of Geoscience, Engineering, Environment, and Technology Vol. 11 No. 3 (2026): Articles In Press Vol 11 No 3 2026
Publisher : UIR PRESS

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Abstract

Coal quality is affected by the depositional environment, characteristics of organic matter, and input of clastic sediments during peat formation. Although the link between depositional environment and coal quality has been widely studied in various coal basins, research that combines petrographic analysis, coal facies (TPI-GI and VI-GWI), coal quality, and geostatistics to assess the geological control over coal quality distribution in the Sinamar Formation remains very limited. This study aims to interpret the coal deposition environment of Seam C and analyze how the deposition environment relates to variations in coal quality in the Leban area, Jambi Province. The methods involved proximate and ultimate analysis, petrography, coal facies interpretation using the Tissue Preservation Index (TPI), Gelification Index (GI), Vegetation Index (VI), and Groundwater Index (GWI), along with descriptive statistics and spatial modeling with Ordinary Kriging based on 47 drilling data points. The findings show that Seam C coal has an average ash content of 6.60 %, total sulfur of 0.70 %, moisture of 12.14 %, and a calorific value of 6324.74 kcal/kg. Petrographic analysis reveals a dominance of vitrinite maceral with vitrinite reflectance between 0.44-0.46 %, while coal facies analysis indicates that most samples from the WBS, LMH, and AKA sites formed in an Upper Delta Plain environment with telmatic to wet forest swamp facies. Meanwhile, the BA1 site developed in a Lower Delta Plain environment with marsh facies, influenced by a higher influx of clastic sediments. Spatial analysis shows increased ash and sulfur levels in the northern part of the study area, while calorific value tends to be higher in the southwest. The results suggest that variations in Seam C coal quality are mainly controlled by changes in depositional facies, while the degree of coalification remains relatively uniform across the study area. The novelty of this research lies in its integrated approach, combining petrographic analysis, coal facies, coal quality, and geostatistics to explore the relationship between depositional environment and the spatial distribution of coal quality in the Sinamar Formation. This method offers a more complete understanding of the geological factors influencing coal quality and can support resource evaluation and coal exploration planning in the Sinamar Formation and other coal basins with similar features.
Identifikasi Daerah Rawan Bencana Longsor Lahan Sebagai Upaya Penanggulangan Bencana di Kabupaten Sinjai Nasiah; Ichsan Invanni
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol. 3 No. 2 (2014): Volume 3 Nomor 2 (September 2014)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

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Abstract

Longsor merupakan bencana alam yang dapat mengakibatkan kerugian baik berupajiwa maupun harta benda. Oleh karena itu, maka perlu dilakukan penelitian inventarisasi daerah rawan bencana longsor. Model yang diterapkan untuk menentukan daerah rawan bencana longsor yaitu metode penjumlahan harkat dengan menggunakan Sistem Informasi Geografi (SIG). Beberapa faktor penyebab longsor adalah geologi (sifat batuan, stratigrafi, stuktur geologi, tingkat pelapukan dan kegempaan), iklim (curah hujan), tanah (tebal solum), topografi (kemiringan lereng), vegetasi (kerapatan vegetasi) dan manusia (penggunaan lahan). Hasil analisis menunjukkan bahwa di Kabupaten Sinjai terdapat 4 kelas tingkat rawan bencana longsor yaitu tidak rawan, agak rawan, cukup rawan, dan rawan. Secara umum Kabupaten Sinjai cukup rawan bencana longsor, tetapi ada dua kecamatan yang rawan yaitu kecamatan Sinjai Barat dan Sinjai Borong.
Co-Authors . Nasiah A M Imran Abdul Malik Abdul Malik Abidin, Muh Rais Adi Maulana Alimuddin Hamzah Alonge, Titus Adeyemi Amal Arfan Amal Arfan, Amal Amin Nur Syafitri Ananda, Sri Sovia Duha Arni Fauziah Rante ASSHIDIQQI, MUHAMMAD HABIB Dinil Qaiyimah Duha Ananda, Sri Sovia Fadhly, Ahmad Fariz Aditya Fitri Nauli Fitri, Alfita Fitriani Fitriani Hanafie Prasad, Abdul Hallaf HAR, Rusli Hariana, Hilda Cahyani Hasriyanti Hatibu, Hardiyanti Heri Prabowo Hohoba, Bertus Husain, Lidia Ibrahim Abbas Ibrahim Abbas, Ibrahim Irwansyah Irwansyah Jannah B, Nurchafifa Jeddah Yanti Khairunnisa, Fatima Luqman Machmud Diponegoro Maddatuang Maddatuang Marsida, Feby Aulia Muh. Ryan Alfadly D Muhamad Ihsan Azhim, Muhamad Ihsan Muhammad Faisal Juanda Mutmainnah Ali Nasiah Nasiah Badwi Nasiah Badwi Nasiah Badwi Nasiah Badwi Nasiah Nasiah Nasiah Nasiah, Nasiah Nasrul Nasrul Nur Kumala, Nur Nurdin Nurdin Nurfadilah Nurfadilah Nurfahraini, Zarah Nurhamdi Nurhamdi Nurhidayah Nurhidayah Nurul Afdal Haris Rahma Musyawarah, Rahma Rahmah, Wde Nur Ramli Umar Ramli Umar Reskianti Reskianti Riskawati Riskawati, Riskawati Rosmini Maru Rudy Anarta Samat, Abdul SATRIYAS ILYAS Sukri Nyompa Sulaiman Zhiddiq Sulaiman Zhiddiq Sulaiman Zhiddiq, Sulaiman Tanjung, Denny Akbar