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All Journal Media Ilmiah Teknik Lingkungan Jurnal Teknik Industri Terintegrasi (JUTIN) JURNAL TEKNOLOGI MINERAL FT UNMUL
Leka, Emil Salim Kahmi
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Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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Overview Metode Fitoremediasi Dalam Pengelolaan air Tercemar Timbal (Pb): Overview of Phytoremediation Methods in Management of Lead (Pb) Polluted Water Leka, Emil Salim Kahmi; Cahyadi, Tedy Agung; Nurkhamim, Nurkhamim; Ernawati, Rika; Winarno, Eddy
Media Ilmiah Teknik Lingkungan (MITL) Vol. 9 No. 1 (2024): Media Ilmiah Teknik Lingkungan (MITL)
Publisher : ​Institute for Researches and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/mitl.v9i1.6372

Abstract

Wastewater originating from industry varies greatly depending on the type of industry. Industrial wastewater usually contains many toxic and dangerous chemical compounds (B3) and contains heavy metals. Heavy metals are pollutants that have dangerous effects because they cannot be broken down biologically and stable. Heavy metal elements can be distributed on the earth's surface in water, soil and air. Heavy metal waste pollution containing lead (Pb) is a problem for current environmental conditions. Heavy metals are found in almost all types of industrial waste. The increasing number of industries will cause increased pollution of water sources originating from industrial waste. . Therefore, effective and efficient methods are needed to manage lead-contaminated water. Methods that are easy to apply, low cost and environmentally friendly are highly desirable for managing lead-contaminated water so that the concept of good mining practice can be applied to sustainable development. The most efficient and effective method applied for mining waste management is the phytoremediation method. The results of the research state that several plants have a significant and efficient effect in helping the absorption of the metal lead (Pb) contained in water. Great Duckweed (Spirodela Polyrhiza) and Water Hyacinth (Eichhornia crassipes) are plants that are suitable for implementing phytoremediation methods in managing water contaminated with lead (Pb).
Penerapan Metode Geostatistik Untuk Estimasi Sumberdaya Galena Pada Blok Gossan Di PT Kapuas Prima Coal Suwandi, Tommy; Nurkhamim, Nurkhamim; Ardian, Aldin; Meihaga, Epafras; Leka, Emil Salim Kahmi; Sasea, Fransischus R.T
JURNAL TEKNOLOGI MINERAL FT UNMUL Vol 13, No 1 (2025): Jurnal Teknologi Mineral FT UNMUL Juni 2025
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jtm.v13i1.19140

Abstract

Estimasi sumberdaya mineral sangat penting dalam eksplorasi untuk menilai kelayakan penambangan. Metode geostatistik, khususnya ordinary kriging, sering digunakan untuk memperkirakan kadar bijih di lokasi yang tidak terukur dengan memanfaatkan nilai-nilai yang diketahui dan model variabilitas spasial (variogram). Namun, metode ini memiliki keterbatasan seperti asumsi stasioneritas, aditivitas, linearitas, dan subjektivitas dalam pemodelan variogram. Galena, mineral bernilai ekonomi tinggi karena kandungan timbalnya, menjadi fokus eksplorasi untuk industri baterai dan pelindung radiasi. Estimasi yang akurat terhadap sumber daya galena penting untuk menjamin eksplorasi dan penambangan yang efisien dan berkelanjutan. Berdasarkan metode estimasi ordinary kriging, sumber daya galena diklasifikasikan ke dalam tiga kategori, yaitu measured, indicated, dan inferred. Kategori measured memiliki volume 2.012.325 m³ dengan tonase 15.092.439 ton dan kadar Pb 3,70%. Kategori indicated memiliki volume 1.555.856,25 m³ dengan tonase 11.668.921 ton dan kadar Pb 3,96%. Sementara itu, kategori inferred memiliki volume 7.309,25 m³ dengan tonase 54.819 ton dan kadar Pb 4%. Hasil perhitungan teknik estimasi Ordinary Kriging menunjukkan nilai RMSE sebesar 0,40, koefisien korelasi (r) sebesar 0,98, dan koefisien determinasi (R²) sebesar 0,96. Nilai-nilai ini mengindikasikan bahwa model ordinary kriging yang digunakan memiliki tingkat akurasi yang cukup baik, dengan hubungan yang cukup kuat antara nilai estimasi dan aktual. Dengan demikian, metode ini dapat diandalkan untuk estimasi sumberdaya galena.
Analisis Sistem Pengelolaan Air Asam Tambang Berbasis Fitoremediasi Tanaman Lokal dalam Green Supply Chain Management Yelli Fitri, Yelli Fitri; Wahyuni , Sri; Leka, Emil Salim Kahmi
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 4 (2025): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i4.50432

Abstract

Acid Mine Drainage (AMD) is one of the most serious environmental impacts of mining activities, especially coal mining. It is characterized by low pH and high concentrations of heavy metals such as Fe, Mn, and Cr. This study aims to analyze a phytoremediation-based AMD management system using local plants. The research methods include a literature review and system modeling using the IDEF0 approach to illustrate the AMD management flow. A SWOT analysis was also conducted. The results show that phytoremediation can reduce heavy metal content by more than 90% and raise the pH of the acidic water from below 4 to near neutral (pH 6–7) within a certain period. From an industrial engineering perspective, this system is efficient because it utilizes local resources, reduces operational costs compared to chemical methods, and supports Green Supply Chain Management (GSCM) based on circular economy principles. The integration of phytoremediation into the mining green supply chain provides added value in terms of environmental sustainability, regulatory compliance, and corporate image enhancement.
Co-Authors aldin ardian, aldin Cahyadi, Tedy Agung Eddy Winarno, Eddy Fitri, Yelli Meihaga, Epafras Nurkhamim, Nurkhamim Rika Ernawati Sasea, Fransischus R.T Suwandi, Tommy Wahyuni , Sri