Article Per Year (5 Year)
p-Index From 2021 - 2026
6.081
P-Index
This Author published in this journals
All Journal PROMINE Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal GEOSAPTA KURVATEK Prosiding Seminar Teknologi Kebumian dan Kelautan (SEMITAN Journal of Earth and Marine Technology (JEMT) Prosiding Seminar Nasional Teknologi Industri Berkelanjutan West Science Interdisciplinary Studies Journal of Geology Sriwijaya West Science Interdisciplinary Studies
Fanani, Yazid
Faculty Of Mineral And Marine Technology - Institut Teknologi Adhi Tama Surabaya
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Physics Social Sciences Transportation

Published : 59 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : PROMINE

 1 
Aplikasi Sistem Informasi Geografis Untuk Zonasi Kawasan Pertambangan Majenang-Bantarkawung Yazid Fanani
PROMINE Vol 4 No 2 (2016): PROMINE
Publisher : Jurusan Teknik Pertambangan, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/promine.v4i2.111

Abstract

The position of Majenang-Bantarkawung region become important and strategic because has a lot ofmineral and coal resources. However, there is no effort in mining area regulation to optimalizationmanagement of mining resources who can useful for people prosperity. Mining zonation of Majenang-Bantarkawung make with weighting and scoring in determination of mining parameters thanprocessing the parameters with overlay method. The parameters are : Land height, Land elevation,Disaster-prone areas, Overburden thickness, Ground water, River area, Water infiltration areas,Forest areas and Agricultural area. According to overlay of 10 mining parameters, Majenang-Bantarkawung mining zonation can be divided into can be permitted to mined, can be permitted tomined with certain condition, and can’t be permitted to mined. Banyumas regency has 61 distributionof mining resources location. Cilacap regency has 75 distribution of mining resources location. Brebesregency has 53 distribution of mining resources location.
Analysis Between CBR, Rolling Resistance and Soils Bearing Capacity with Dump Truck Velocity in Mine Hauling Road Use Linear Regression Methods Yazid Fanani
PROMINE Vol 8 No 1 (2020): PROMINE
Publisher : Jurusan Teknik Pertambangan, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/promine.v8i1.1798

Abstract

The main effect of hauling using dump trucks are effected by haul road, machine condition, and weather. The purpose of this research to analyze the connection between CBR, rolling resistance and soils bearing capacity with dump truck velocity use linear regression methods by mathematical model approach. Dump truck velocity as dependent variable (Y). CBR, rolling resistance and soils bearing capacity as the independent variable (X). Based on this research, rolling resistance has a negative effect to dump truck velocity. Dump truck velocity decrease 0,13 – 0,14 km/h by 10 lbs increase of rolling resistance. CBR dan soils bearing capacity have a positive effect to dump truck velocity. Increase 5 % of CBR and 0,34 kg/cm2 soils bearing capacity can increase dump truck velocity 0,48 – 0,66 km/h. To increase dump truck velocity, the minimum CBR value on the haul road is 15 % and soils bearing capacity 6,79 kg/cm2 with a maximum rolling resistance value of 40 lbs.
Penyusunan Zonasi Kawasan Pertambangan Di Kabupaten Magetan Berdasarkan Aplikasi Sistem Informasi Geografis Dengan Metode Pertampalan Yazid Fanani; Fajar Rizki Widiatmoko; Salahudin Al Fakih; I Wayan Koko Suryawan; Mega Mutiara Sari
PROMINE Vol 9 No 2 (2021): PROMINE
Publisher : Jurusan Teknik Pertambangan, Fakultas Sains dan Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/promine.v9i2.2774

Abstract

Magetan has resources mineral potential of non-metallic minerals and rocks. The mineral variety is a mineral which relates to the people livelihood because it necessary for infrastructure development. There is no mining area zoning until now and it can be used to optimize the management and utilization of potential resources. In Magetan, mining area zoning was carried out by giving weights and assessments to the determining parameters which was conducted by patch method and it utilized Geographic Information System. So, the result of mining area zoning could be grouped into three zones. They were a zone could be granted a mining permit, a zone could be granted a conditional mining permit and a zone could not be granted a mining permit. Determining parameters for mining area zoning were land height, disaster vulnerability, groundwater, river borders, lakes and irrigation buildings, springs, forests and protected areas, agricultural land and cultivation areas, settlements, cultural heritage, tourism and district strategic areas, and land slope. The result of potential resources identification was carried out by analyzing Magetan geological map which was obtained potential resources, like andesite, pumice breccia, sandstone, siltstone and basalt. The zoning of Magetan mining area is a zone could bne granted a mining permit and the area was 9,914.507 Ha or about 14% in a percentage of the area, a zone could be granted a conditional mining permit covering an area of 20,748.29 Ha or about 30% and a zone unable to be granted a mining permit covering an area of 39,296.08 Ha or about 56% of the total area of Magetan.
Aplikasi Sistem Informasi Geografis (SIG) Zonasi Kawasan Wilayah Pertambangan Di Kabupaten Madiun Menggunakan Basis Data Spasial Fajar Rizki Widiatmoko; Yazid Fanani; Donny Rusdian Pratama
PROMINE Vol 10 No 1 (2022): PROMINE
Publisher : Jurusan Teknik Pertambangan, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/promine.v10i1.2773

Abstract

Madiun Regency is an area that has abundant natural resource potential, one of which is the mining sector. The existing potential is dominated by rock commodities. The potential of rock mining materials, namely; trass, andesite, clay, and backfill. It is necessary to zoning mining areas to optimize the management and utilization of potential resources. Mining area zoning takes into account various land use parameters. The patch method is used as a reference for the weighting and assessment of each parameter using a Geographic Information System (GIS). Zoning can be grouped into Permitted Zones, Conditional Permitted Zones, and Non-permitted Zones. The parameters determining the zoning consist of the distribution of land use based on existing ones as well as spatial and regional planning plans. The results of the identification of potential resources are carried out by analyzing geological maps and obtaining potential resources, among others; sand, sandstone, andesite, trass, clay, and backfill. The results of the zoning of the Madiun Regency mining area are; the area of ​​the zone that can be granted a permit is 37,114.95 ha, the area of ​​the zone that can be granted a conditional permit is 1,090,05 ha, and the area of ​​the zone that cannot be granted a permit is 72,310.35 ha. The results of the zoning of mining areas in the Madiun Regency can be used for consideration of mining land clearing plans based on integrated data.
Penyusunan Zonasi Kawasan Pertambangan Di Kabupaten Magetan Berdasarkan Aplikasi Sistem Informasi Geografis Dengan Metode Pertampalan Fanani, Yazid; Widiatmoko, Fajar Rizki; Al Fakih, Salahudin; Suryawan, I Wayan Koko; Sari, Mega Mutiara
PROMINE Vol 9 No 2 (2021): PROMINE
Publisher : Program Studi Teknik Pertambangan, Fakultas Sains dan Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/promine.v9i2.2774

Abstract

Magetan has resources mineral potential of non-metallic minerals and rocks. The mineral variety is a mineral which relates to the people livelihood because it necessary for infrastructure development. There is no mining area zoning until now and it can be used to optimize the management and utilization of potential resources. In Magetan, mining area zoning was carried out by giving weights and assessments to the determining parameters which was conducted by patch method and it utilized Geographic Information System. So, the result of mining area zoning could be grouped into three zones. They were a zone could be granted a mining permit, a zone could be granted a conditional mining permit and a zone could not be granted a mining permit. Determining parameters for mining area zoning were land height, disaster vulnerability, groundwater, river borders, lakes and irrigation buildings, springs, forests and protected areas, agricultural land and cultivation areas, settlements, cultural heritage, tourism and district strategic areas, and land slope. The result of potential resources identification was carried out by analyzing Magetan geological map which was obtained potential resources, like andesite, pumice breccia, sandstone, siltstone and basalt. The zoning of Magetan mining area is a zone could bne granted a mining permit and the area was 9,914.507 Ha or about 14% in a percentage of the area, a zone could be granted a conditional mining permit covering an area of 20,748.29 Ha or about 30% and a zone unable to be granted a mining permit covering an area of 39,296.08 Ha or about 56% of the total area of Magetan.
Pemodelan Dataset Tambang Terbuka pada PT. United Tractors Semen Gresik dengan Metode Artificial Neural Network Kurniawan, Muchamad; Fanani, Yazid; Agustini, Siti; Wachid, Aldi
PROMINE Vol 12 No 1 (2024): PROMINE
Publisher : Program Studi Teknik Pertambangan, Fakultas Sains dan Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jp.v12i1.3311

Abstract

The Mining industry in Indonesia plays a vital role as a source of state income and an integral part of the industrial progress of the nation. The majority of the mining industry in Indonesia employs open-pit mining. One of the weather factors that can be an obstacle in open-pit mining is rainfall. Therefore, this research focused on modelling data from rainfall, working hours and production outcomes. It applied the Artificial Neural Network algorithm with an input layer consisting of two neurons, a hidden layer with two neurons, and an output layer. The data on Rainfall working hours, and production results were trained to produce a model that, later on, will be used to predict the value of production results. For model testing, this study uses two parameters, namely learning rate and epoch. From 90 times of testing, the best model was obtained with a learning rate value of 0.3 and an epoch of 1000 which resulted in an RMSE error of 0.004838259401280330
Co-Authors Agung Wicaksono Ahmad Fawaidun Nahdliyin Al Fakih, Salahudin Aldy Elriq Syahputra Alwi Syahid Andres Kevi Paki Aprilia Dwi Astuti Aprilia Dwi Astuti, Aprilia Dwi Avellyn Shinthya Sari Avellyn Shintia Sari Azis, Muhammad Jundi Haikal Berhitu, Theo Destinaba, Rilianisa Donny Rusdian Pratama Donny Rusdian Pratama eko purnomo Eko Purnomo Faishol Amir Faishol Amir, Faishol Fajar Rizki Widiatmoko Fajar Rizki Widiatmoko Fajar Rizki Widiatmoko Fajar Rizki Widiatmoko Filda Oktaviani Erong Galih Cahyono, Yudho Dwi Gastramat, Maria Frumensia Grains Silvester Sapan Hardi Wahono Helik Susilo Irwanto, Muhammad Agus Jone, Yohanes Lakon Utamakno Mahindra, Fahni Mega Mutiara Sari Melang, Antonius Longan Muchamad Kurniawan, Muchamad Muhammad Agus Irwanto Muhammad Jundi Haikal Azis Muhammad Tri Aditya Nahdliyin, Ahmad Fawaidun Noche Lorensius Sairdekut Paki, Andres Kevi Pratama, Donny Rusdian Putri, Fairus Atika Redanto Putri, Ratih Hardini Kusuma Ratih Hardini Kusuma Putri Reky Sasauw Rilianisa Destinaba Rino Firsa Putra Syahanda Sairdekut, Noche Lorensius Salahudin Al Fakih Salahudin Al Fakih Salsabila, Unik Hanifah Sapan, Grains Silvester Sapto Heru Yuwanto Sari, Avellyn Shintia Sari, Era Nitika Sari, Mega Mutiara Sasauw, Reky Simela Talaohu Simela Talaohu Siti Agustini, Siti Suci, Fitri Indah Dwi Suryawan, I Wayan Koko Susanto, Muhammad Nizarudin Agus Syahanda, Rino Firsa Putra Syahid, Alwi Syamsul Arifin Talaohu, Simela Taufiq, Muhammad Rusdi Theo Berhitu Titirloloby, Aloysius Usman Usman Usman Usman Utamakno, Lakon Vincent, Vittorio Wachid, Aldi Wahono, Hardi Widiatmoko, Fajar Rizki Yohanes Jone Yohanes Jone Yudho Dwi Galih Cahyono