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All Journal Jurnal Geomine Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Prosiding Temu Profesi Tahunan PERHAPI EPI International Journal of Engineering Jurnal Penelitian Enjiniring Fakultas Teknik Unhas

Aryanti Virtanti Anas

Departemen Teknik Pertambangan, Fakultas Teknik, Universitas Hasanuddin

Author-ID : 227029

Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Public Health

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Perencanaan Disposal Semi Induced Flow dan Finger Flow di PT Vale Indonesia Tbk, Kabupaten Luwu Timur, Provinsi Sulawesi Selatan Amalia, Rizki; Fajrin, Dzul; Anas, Aryanti Virtanti; Alimuddin, Hasliana
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Disposal Planning of Semi Induced Flow and Finger Flow in PT Vale Indonesia Tbk, East Luwu Regency, South Sulawesi Province). PT Vale Indonesia Tbk produces sizable nickel ore, which is an average of 75,000 tons per year and the overburden is around four times the amount of nickel ore production, thus requiring good disposal planning.Disposal planning includes disposal design, allocation of the number of dozers, disposal life length, and disposal costs. The research locations are Watulabu 16C DP and Watulabu 19 DP in West Block Area and Nickel Hill 15 DP and Nayoko 01 DP in East Block Area. Watulabu 16C DP and Nickel Hill 15 DP are semi-induced disposal, while Watulabu 19 DP and Nayoko 01 DP are disposal finger flow. Each disposal has two units dozer. The dozers used are dozer D8R Caterpillar. Disposal planning was made using Maptek Vulcan and Microsoft Excel software. Based on the results of the research, the disposal design of Watulabu 16C DP has a surface area of â€‹â€‹72,229.40 m2 and a volume of 125,959.92 m3, Nickel Hill 15 DP has a surface area of â€‹â€‹92,375.68 m2 and a volume of 128,344.04 m3, Watulabu 19 DP has a surface area of â€‹â€‹129,061.97 m2 and volume of 775,396.21 m3, and Nayoko 01 DP has a surface area of â€‹â€‹227,318.16 m2 and volume of 1,270,176.94 m3. The disposal life length of Watulabu 16C DP is 1.5 weeks (11 days), Nickel Hill 15 DP is 1.4 weeks (10 days), Watulabu 19 DP is 7.5 weeks (53 days), and Nayoko 01 DP is 11.2 weeks (79 days). The disposal cost of Watulabu 16C DP is $51,841.49, Nickel Hill 15 DP is $138,061.15, Watulabu 19 DP is $370,924.26, and Nayoko 01 DP is $957,625.14.

Valuation of Environmental Impact Due to Material Construction Mining, Gowa, South Sulawesi Andi Arjan; Arikah Nurhusna Afifah; Yubelium Andrew Patila; Aryanti Virtanti Anas
EPI International Journal of Engineering Vol 3 No 1 (2020): Volume 3 Number 1, February 2020
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022020.13

Sand, river stone, soil excavation, sandstone and broken stone are the types of construction materials mining in Gowa Regency and many are found in the Jeneberang River. The Jeneberang River is one of the main rivers in South Sulawesi. However, construction materials mining carried out around the Jeneberang River has a negative impact on the surrounding environment. Those negative impacts are erosion, road damage, noise, air pollution, and decrease in water quality. This research was conducted in Gowa Regency. The method used is the Contingent valuation method (CVM). CVM consists of the desire to pay (Willingness to Pay or WTP) and the desire to accept (Willingnes to Accept or WTA. While the social aspect conducts interviews with questionnaire questions to respondents to find out opinions about the surrounding environment. From this study, it is known that WTP and WTA data are inversely proportional. The greater the compensation to be paid, the more societies who want to receive and the fewer companies paid for the compensation.

Revenue Estimation of Pit Seam 14 Quarter Mine Block Sequence Design Based on Coal Reference Price Prediction at PT Alam Jaya Pratama, East Kalimantan Province Aryanti Virtanti Anas; Rahmat Hidayat; Rizki Amalia; Muhammad Ramli; Nirmana Fiqra Qaidahiyani; Yoga Apri Disetia
EPI International Journal of Engineering Vol 3 No 2 (2020): Volume 3 Number 2, August 2020
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.082020.01

Seam 14 is one of coal prospects owned by PT Alamjaya Bara Pratama (PT ABP) with an estimated coal resources of ±4,022,458.63 tons which is will be produced in 2020 so that required a pit and mine sequence design used as a guideline in carrying out coal production activities. On the other hand, the uncertainty of coal prices caused the mine sequence design to be evaluated within a certain time as the coal reference price (HBA) was altered and company’s production target. The model equation of coal reference price prediction in 2020 was carried out by using multiple linear regression method. Based on that model, prediction of coal reference price was obtained in CW 1 = $80.21, CW 2 = $81.47 and CW 3 = $82.50. The Pit 14 was designed with the consideration of company's geotechnical recommendation which is can be achieved on the conditions of stripping ratio (SR) of 6 and 7. The mine sequence was designed base on the evaluation of coal production in 2019 (CW 1 = SR > 3, CW 2 = 3 ≤ SR ≤ 6 and CW 3 = SR > 6). The calculation results of estimated revenue of Pit 14 with SR = 6 is CW 1 = US$40,131,297.12; CW 2 = US$36,431,457.31; and CW 3 = US$19,601,965.40. Estimated revenue of Pit 14 with SR = 7 is CW 1 = US$41,821,080.50; CW 2 = US$39,204,128.39; and CW 3 = US$31,715,767.60.

Evaluation of Achievement of Overburden Production Target Using Fishbone Diagram Method at Pit A Site B PT XYZ, South Sumatera Province Aurah Masyitha Ayu Namira; Aryanti Virtanti Anas; Rizki Amalia; Rini Novrianti Sutardjo Tui
EPI International Journal of Engineering Vol 4 No 2 (2021): Volume 4 Number 2, August 2021
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/10.25042/epi-ije.082021.08

PT XYZ is one of the companies engaged in the coal mining and energy in South Sumatra Province. Mining activities at the Pit A are still focused on stripping overburden using the Komatsu PC-3000E power shovel digging tool. The company has established a 513,333 BCM production target of overburden stripping in November 2020. While the total overburden production obtained is 488,162 BCM. The existence of factors that affect the productivity of the tool will determine the achievement of production targets, so it is necessary to evaluate production by identifying the factors causing the problem. One of method that can be used to determine the root cause of the problem is by using a fishbone diagram. A Fishbone diagram is a method used to identify the root cause of a quality problem. The purpose of this research is to calculate overburden production in November 2020, identify factors that influence the achievement of overburden production targets using a fishbone diagram, and make recommendations for improvement plans based on factors that affect the achievement of overburden production targets. Based on the results of the fishbone diagram analysis using the 4M pattern consisting recommendations for improvement plans can be designed for each factor causing the problem which is machine, methods, materials, and manpower.

Model Supply Demand Sumberdaya Agregat Sungai Jeneberang, Sulawesi Selatan Aryanti Virtanti Anas; Sutrimo Sutrimo
Jurnal Penelitian Enjiniring Vol 20 No 1 (2016)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.411 KB)

Pada penelitian ini supply agregat berasal dari perusahaan-perusahaan pertambangan yang beroperasi di Sungai Jeneberang Kabupaten Gowa untuk memenuhi demand Kabupaten Gowa dan Kota Makassar, Sulawesi Selatan. Agregat terdiri dari pasir, batu kali, sirtu danbatu pecah yang merupakan material utama bagi aktivitas pembangunan rumah, kantor dan infrastruktur seperti pembangunan jalan dan jembatan. Jumlah supply (penawaran) agregat tergantung kepada jumlah produksi dari perusahaan pertambangan yang beroperasi dan jumlah demand (permintaan) material yang menggambarkan indeks kegiatan ekonomi suatu wilayah atau bangsa dimana pertumbuhan ekonomi akan meningkatkan demand, sehingga perubahan struktural ekonomi daerah digambarkan oleh intensitas penggunaan material. Oleh karena itu, permintaan agregat berhubungan langsung dengan laju pembangunan, pendapatan per kapita dan pertumbuhan jumlah penduduk. Prediksi jumlah supply dan demand sangat penting karena salah perhitungan akan menyebabkan terjadinya anomali pasar seperti harga material turun dan kelangkaan agregat. Metode pengumpulan data terdiri dari studi literatur (desk study) dari instansi terkait yaitu Badan Pusat Statistik Kabupaten Gowa dan Makassar dan Dinas Pertambangan dan Energi Kabupaten Gowa. Analisis data menggunakan metode ekonometri regresi linear dan regresi berganda dengan variabel-variabel bebas harga, jumlah penduduk, pendapatan per kapita dan PDRB. Dari penelitian ini diperoleh model supply = -5.520.120,08 + 91,863 P dan model demand = 127.286.232,1 – 101,898 P – 220,039 Pddk – 8,554 Pdptn + 18,069 PDRB dan = 405305059,9 – 294,411 P – 333,694 Pddk – 6,940 Pdptn + 6,889 PDRB.

Analisis Produksi Logam dari Rencana Rehandle Stockpile Berdasarkan Metode Material Flow dan Model Stockpile Eko Putra Bato Tanete; Aryanti Virtanti Anas; Rini Novrianti Sutardjo Tui
Jurnal Penelitian Enjiniring Vol 20 No 2 (2016)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (245.38 KB)

Perencanaan rehandle stockpile merupakan salah satu bagian penting dalam rencana produksi tambang untuk mengetahui informasi mengenai tonase bijih, karakteristik bijih hingga produksi logam dari bijih yang diambil. PT Newmont Nusa Tenggara menggunakan metode material flow untuk mengetahui informasi nilai karakteristik bijih yang ada pada stockpile. Metode ini memiliki perbedaan informasi dengan nilai karakteristik bijih berdasarkan model stockpile. Perbedaan tersebut memengaruhi seluruh perhitungan dalam perencanaan rehandle stockpile. Berdasarkan hal tersebut, maka dilakukan analisis rencana rehandle stockpile tahun 2016, 2017 dan 2018 berdasarkan metode material flow dan model stockpile. Data yang digunakan merupakan data sekunder yang diperoleh dari lembar kerja excel perencanaan jangka panjang BH2016BP_v4.1. Metode material flow menggunakan metode rata-rata tertimbang, sedangkan model stockpile menggunakan boundary pengambilan bijih dari stockpile yang didesain berdasarkan tonase pengambilan bijih per bulan. Berdasarkan pengolahan dan analisis data yang dilakukan, diketahui total produksi logam dari metode material flow pada tahun 2016 diperoleh 234 Mlbs tembaga, 216 Koz emas dan 926 Koz perak. Pada tahun 2017 diperoleh 241 Mlbs tembaga, 235 Koz emas dan 927 Koz perak, dan tahun 2018 diperoleh 168 Mlbs tembaga, 93 Koz emas dan 563 Koz perak. Total produksi logam dari model stockpile pada tahun 2016 diperoleh 233 Mlbs tembaga, 187 Koz emas dan 838 Koz perak. Pada tahun 2017 diperoleh 192 Mlbs tembaga, 117 Koz emas dan 642 Koz perak, dan tahun 2018, 163 Mlbs tembaga, 77 Koz emas dan 482 Koz perak.

Penentuan Laba Pemindahan Material Tanah Penutup untuk Kesetimbangan Biaya Pemindahan Material Lumpur dengan Metode Break Even Point Heicke Gloria Hitipeuw; Aryanti Virtanti Anas; Rini Novrianti Sutardjo Tui
Jurnal Penelitian Enjiniring Vol 22 No 2 (2018)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Cipta Kridatama merupakan anak perusahaan dari PT. ABM Investama Tbk yang bergerak sebagai perusahaan kontraktor pertambangan pada area IUPOP (Izin Usaha Penambangan Operasi Produksi) milik PT. Trisensa Mineral Utama. PT. Cipta Kridatama melakukan aktivitas pengupasan lapisan tanah penutup pada luas wilayah ± 3.414 ha. Proses kegiatan pengupasan tanah penutup sering sekali terjadi ketidaksesuaian hasil produksi aktual di lapangan dengan target yang direncanakan. Salah satu kendala yaitu material lumpur yang menutupi seam target dari Pit 5B21. Produksi perusahaan pada bulan Desember yang direncanakan yaitu sebesar 895.000 BCM. Masalah pemindahan material lumpur menyebabkan produksi aktual tanah penutup pada bulan Desember hanya sebesar 845.262 BCM dan tidak sesuai yang direncanakan oleh perusahaan. Fleet pemindahan material lumpur (mud) pada Pit 5B21 terdiri dari 1 (satu) unit excavator tipe 349DL, 8 (delapan) unit Off Highway Truck tipe 773, 1 (satu) unit bulldozer tipe D9R, dan 1 (satu) unit grader tipe 14M. Tujuan penelitian ini adalah menghitung biaya pemindahan lumpur dan volume tanah penutup yang harus dikupas agar memeroleh laba untuk menutupi biaya pemindahan lumpur tersebut. Analisis titik impas adalah solusi alternatif yang dapat digunakan untuk mengetahui laba yang diperoleh dari pemindahan material tanah penutup yang dapat menutupi biaya pemindahan material lumpur. Data yang digunakan dalam penelitian ini yaitu data biaya bahan bakar, biaya opeasi dan biaya kepemilikan bulan Desember 2017. Hasil analisis menunjukkan bahwa volume tanah penutup yang dapat menghasilkan pendapatan untuk kesetimbangan biaya pemindahan lumpur sebesar US$ 47,109 adalah 238.130 BCM.

Perencanaan Disposal Semi Induced Flow dan Finger Flow di PT Vale Indonesia Tbk, Kabupaten Luwu Timur, Provinsi Sulawesi Selatan Rizki Amalia; Dzul Fajrin; Aryanti Virtanti Anas; Hasliana Alimuddin
Jurnal Penelitian Enjiniring Vol 23 No 2 (2019)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Disposal Planning of Semi Induced Flow and Finger Flow in PT Vale Indonesia Tbk, East Luwu Regency, South Sulawesi Province). PT Vale Indonesia Tbk produces sizable nickel ore, which is an average of 75,000 tons per year and the overburden is around four times the amount of nickel ore production, thus requiring good disposal planning.Disposal planning includes disposal design, allocation of the number of dozers, disposal life length, and disposal costs. The research locations are Watulabu 16C DP and Watulabu 19 DP in West Block Area and Nickel Hill 15 DP and Nayoko 01 DP in East Block Area. Watulabu 16C DP and Nickel Hill 15 DP are semi-induced disposal, while Watulabu 19 DP and Nayoko 01 DP are disposal finger flow. Each disposal has two units dozer. The dozers used are dozer D8R Caterpillar. Disposal planning was made using Maptek Vulcan and Microsoft Excel software. Based on the results of the research, the disposal design of Watulabu 16C DP has a surface area of 72,229.40 m2 and a volume of 125,959.92 m3, Nickel Hill 15 DP has a surface area of 92,375.68 m2 and a volume of 128,344.04 m3, Watulabu 19 DP has a surface area of 129,061.97 m2 and volume of 775,396.21 m3, and Nayoko 01 DP has a surface area of 227,318.16 m2 and volume of 1,270,176.94 m3. The disposal life length of Watulabu 16C DP is 1.5 weeks (11 days), Nickel Hill 15 DP is 1.4 weeks (10 days), Watulabu 19 DP is 7.5 weeks (53 days), and Nayoko 01 DP is 11.2 weeks (79 days). The disposal cost of Watulabu 16C DP is $51,841.49, Nickel Hill 15 DP is $138,061.15, Watulabu 19 DP is $370,924.26, and Nayoko 01 DP is $957,625.14.

Analisis Penurunan Capaian Target Produksi Bijih Nikel Menggunakan Metode Fault Tree Analysis di PT Ifishdeco Provinsi Sulawesi Tenggara Aryanti Virtanti Anas; Yoshita P Parissing; Irzal Nur; Sufriadin Sufriadin; Purwanto Purwanto; Meinarni Thamrin; Agus Prasetyono
Jurnal Penelitian Enjiniring Vol 24 No 1 (2020)
Publisher : Center of Techonolgy (COT), Fakultas Teknik, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jpe.052020.07

Abstrak Proses produksi berarti menghasilkan suatu produk yang bernilai guna. Dalam suatu perusahaan pertambangan, produksi merupakan hal yang sangat penting, sehingga diperlukan perencanaan yang matang. Perusahaan menargetkan jumlah bahan galian yang akan diproduksi baik dalam jangka panjang, menengah maupun jangka pendek. Operasi produksi PT. Ifishdeco menggunakan bantuan alat gali muat excavator Komatsu PC 300 dimana terjadi penurunan produksi bijih nikel sebesar 19,94%. Target produksi sebesar 149.934 mt, namun capaian produksi hanya sebesar 116.603mt. Oleh karena itu, penelitian ini dilakukan untuk mengetahui faktor utama dan nilai probabilitas penyebab turunnya capaian produksi. Salah satu metode yang dapat digunakan untuk menganalisis faktor utama penyebab penurunan capaian produksi adalah menggunakan Fault Tree Analysis (FTA). Persamaan logika top down dari Fault Tree Analysis disubstitusi ke dalam aljabar Boolean hingga diperoleh minimal cut set. Minimal cut set merupakan persamaan akhir yang merincikan top down. Top event penurunan capai target produksi memiliki empat top down, yaitu faktor pengisian, kesiapan fisik alat, efektivitas kerja, dan waktu edar alat gali muat. Berdasarkan nilai probabilitas basic event tertinggi yang bernilai 1, maka faktor utama penyebab penurunan capaian produksi adalah dari faktor umur pakai alat tua, penjadwalan perawatan tidak teratur, kualitas alat buruk, dan proses selective mining. Abstract Analysis of Decrease in Nickel Ore Production Targets Using the Fault Tree Analysis Method in PT Ifishdeco, Southeast Sulawesi Province. Production process meant produce product with beneficial value. At the mining company, production was very important, so it needed to be well-planned. Company was making target amount of digging material to be produced in long term, middle term, and short term. Production operation at PT Ifishdeco utilized digger loader equipment namely excavator Komatsu PC 300. There was decreasing in nickel ore production of 19,94%. Production target was 149,934 mt, but the company was only able to meet 116,603 mt. Objective of this study was to know main factor and probability value which caused the low production performance. One of methods to be used to analyze the main factor was Fault Tree Analysis (FTA). Top down logical equations of Fault Tree Analysis was substituted into Boolean algebra to get minimal cut set. Minimal cut set was a formula of the top down and used to calculate probability. Top event of the decreasing of the production target had four top downs which were filling factor, mechanical availability, effectivity of use, and cycle time of digger loader. Based on the highest probability of basic event which value was equal to 1, the main factor caused the decreasing of productivity were lifetime of equipment, unscheduled of maintenance, low quality of equipment, and selective mining. Kata Kunci: Excavator, Work Effectivity, Boolean, Cut Set, Probability

KONSTRUKSI MODEL PERSAMAAN UNTUK PREDIKSI BIAYA PRODUKSI PEMINDAHAN LAPISAN TANAH PENUTUP MENGGUNAKAN ANALISIS REGRESI Luviani Aldilla; Aryanti Virtanti Anas; Rini Novrianti Sutardjo Tui; Sidiq Faizal; Mutsammir Mutsammir
Prosiding Temu Profesi Tahunan PERHAPI 2018: Prosiding Temu Profesi Tahunan PERHAPI
Publisher : PERHAPI

PT. Cipta Kridatama merupakan salah satu perusahaan kontraktor pertambangan di Provinsi Kalimantan Timur yang melakukan aktivitas penambangan lapisan tanah penutup batubara pada area IUPOP (Izin Usaha Penambangan Operasi Produksi) milik PT. Trisensa Mineral Utama (TMU). Kegiatan pemindahan lapisan tanah penutup merupakan salah satu tahapan kegiatan penambangan yang perlu dilakukan agar proses pengambilan batubara dapat terlaksana. Pemindahan lapisan tanah penutup dalam proses pengerjaannya menggunakan alat produksi. Penggunaan alat produksi sangat berpengaruh terhadap ketercapaian produksi dan biaya produksi. Biaya produksi yang dikeluarkanakan berpengaruh terhadap laba yang diperoleh perusahaan. Model persamaan biaya produksi dibutuhkan agar dapat melakukan prediksi terhadap biaya produksi untuk waktu yang akan datang. Data yang digunakan merupakan biaya produksi yang terdiri atas biaya kepemilikan dan biaya operasi bulan Januari 2018 hingga Februari 2018. Tujuan dari penelitian ini adalah menentukan model persamaan biaya produksi. Metode yang digunakan dalam penentuan model adalah analisis regresi. Dari analisis regresi linier sederhana dihasilkan dua model persamaan yaitu Qbp = 49.027,215 + 0,803Dp dengan depresiasi (Dp) sebagai variabel bebas dan Qbp = 43.670,377 + 0,197Bp dengan biaya perbaikan dan perawatan (Bp) sebagai variabel bebas. Model persamaan Qbp = 43.615,936 + 0,006Bbb + 0,221Bp diperoleh dari analisis regresi linier berganda dengan biaya bahan bakar (Bbb) dan biaya perbaikan dan perawatan (Bp) sebagai variabel bebas.

Co-Authors Agus Prasetyono Alimuddin, Hasliana Andi Arjan Andi Arjan Arikah Nurhusna Afifah Asran Ilyas Asta Arjunoarwan Hatta Aurah Masyitha Ayu Namira Dzul Fajrin Eko Putra Bato Tanete Fajrin, Dzul Halilintar Rangga Swara Hasliana Alimuddin Heicke Gloria Hitipeuw Irzal Nur, Irzal Luviani Aldilla Meinarni Thamrin Michael Matika Muhammad - Ramli Muhammad Abdi Dzil Ikram Muhammad Ramli Muhammad Ramli Mutsammir Mutsammir Nirmana Fiqra Qaidahiyani Nirmana Fiqra Qaidahiyani Purwanto - Purwanto Purwanto Purwanto Purwanto Rahmat Hidayat Reski Fausi Amanda Rini Novrianti Sutadrjo Tui Rini Novrianti Sutardjo Rini Novrianti Sutardjo Tui Rizki Amalia Rizki Amalia Rizki Amalia Rizki Amalia Rizki Amalia Sidiq Faizal Sri Widodo Sufriadin, Sufriadin Sutrimo Sutrimo Yoga Apri Disetia Yoshita P Parissing Yubelium Andrew Patila

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