7 research outputs found
ANALISA LOG DENSITAS DAN VOLUME SHALE TERHADAP KALORI , ASH CONTENT DAN TOTAL MOISTURE PADA LAPISAN BATUBARA BERDASARKAN DATA WELL LOGGING DAERAH BANKO PIT 1 BARAT, KECAMATAN LAWANG KIDUL, KABUPATEN MUARA ENIM, PROVINSI SUMATERA SELATAN
Telah dilakukan penelitian dengan menggunakan metode Well Logging di daerah Banko Pit 1 Barat, Kecamatan
Lawang Kidul, Kabupaten Muara Enim, Provinsi Sumatera Selatan. Tujuan penelitian ini adalah Menganalisa nilai log
densitas terhadap nilai kalori, Ash Content dan Total Moisture pada lapisan batubara, dan Menganalisa Volume Shale
lapisan batubara terhadap nilai kalori dan Ash Content pada lapisan batubara. Metode Well Logging yang digunakan dalam
penelitian ini yaitu Log gamma ray dan Log Densitas, Dengan banyak sumur 8 (Delapan) titik bor yaitu sumur BK-177,
BK-178, BK-190, BK-191, BK-192, BK-193, BK-194, BK-195. Hasil analisa di daerah penelitian didapatkan nilai ratarata
nilai
densitas
1,522 gr/cc, Volume Shale 4,951%, Ash Content 3,39%, Kalori 6059 Kcal/kg dan Total Moisture 25%.
Dengan menggunakan metode Trideline Scatterplot Bivariant yang digunakan untuk mendapatkan hubungan korelasi dari
2 variable. Dimana pada daerah penelitian memiliki hubungan korelasi kuat - korelasi sangat kuat. Dari analisa hubungan
densitas dengan Ash Content memiliki variasi negatif R2 = 82,2%, (korelasi sangat kuat). Hubungan densitas dengan
Kalori memiliki variasi positif R2 = 84,5% (korelasi sangat kuat), Hubungan densitas dengan Total Moisture memiliki
korelasi negatif R2 = 60,1% (korelasi kuat) sedangkan hubungan kalori dengan Ash Content memiliki korelasi negatif R2
= 88,6% (korelasi sangat kuat). Sedangkan hubungan Volume Shale dengan Kalori memiliki korelasi negatif R2 = 71,1%
(korelasi kuat), Hubungan Volume Shale dengan Ash Content memiliki korelasi positif R2 = 61,2% ( korelasi kuat) Dilihat
dari hubungan korelasi tersebut kualitas batubara pada daerah penelitian memiliki kualitas yang baik.
Kata Kunci : well logging, log gamma ray, log densitas, Volume Shale, Ash Content, Kalori, Total Moisture
Democracy Crisis and the Rise of Datacracy
There is no permanent constitutional and political-legal system. Scientists also predict that the phenomenon of the rise of datacracy with big data and algorithms will replace the democratic system. In this research, the author aims to answer the following questions: (i) Why is democracy bound to be replaced by datacracy? (ii) what alternative options can be proposed to bridge the legal and political implications that might occur if datacracy replaces democracy? The author uses literature studies and an interdisciplinary approach to critique and offer ideas in this study. It is proposed, among other things, that datacracy will not eliminate people's sovereignty; instead, it will only narrow down democratic instruments such as people's representatives and political parties because they will no longer be needed. Such representative democracy is likely to become obsolete because the people will be able to actively participate in conveying their aspirations directly, without going through the people's representative system, by inputting their needs, interests, and various problems through the datacracy platform.DOI: https://doi.org/10.22304/pjih.v11n1.a
PENERAPAN PULL SYSTEM DENGAN PENDEKATAN LEAN MANUFACTURING UNTUK MENGURANGI OVERPRODUCTION DAN UNNECESSARY INVENTORY (Studi Kasus CV. Bima Reksa, Sidoarjo)
Jika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email [email protected], [email protected], [email protected] kasi
KLASIFIKASI TINGKAT KEMATANGAN BUAH PISANG CAVENDISH MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK MODEL VGG-19
Bananas found in Cavendish Banana Gardens Purbalingga Regency have different levels of maturity and quality, as a local fruit that has high economic value and has a market potential that is still wide open, Cavendish bananas are one of the most reliable fruit commodities in Indonesia[1]. The government through the National Standardization Agency sets standards for bananas, maintaining the quality of bananas. The purpose of this study was to analyze the influence of light and image quality in classifying the ripeness level of bananas based on the color characteristics of bananas in the Cavendish Banana Garden, Banyumas Regency, Central Java according to SNI 7422:2009[2]. In this study the authors classify the maturity level of cavendish bananas using the Convolutional Neural Network with the Vgg-19 Model, VGG-19 is used to categorize the maturity level of cavendish bananas and the reason for choosing VGG-19 is because VGGNet is deeper and more reliable architecture for ImageNet technology.The author is also interested in learning how accurate the VGG-19 model is. With a total of 9,000 datasets, 80% of which are training data, 10% are validation data, and 10% are test data, The accuracy obtained for epochs 32, 64 and 96 varies. The accuracy results obtained using VGG-19 were 97% at epochs 32, 64 and 96.Pisang yang terdapat di Kebun Pisang Cavendish Kabupaten Purbalingga memiliki tingkat kematangan dan kualitas yang berbeda beda, sebagai buah lokal yang memiliki nilai ekonomi tinggi dan memiliki potensi pasar yang masih terbuka luas, buah pisang cavendish menjadi salah satu komoditas buah-buahan yang dapat diandalkan di indonesia[3]. Pemerintah melalui Badan Standarisasi Nasional menetapkan standar untuk buah pisang, menjaga mutu buah pisang. Tujuan dari penelitian ini adalah menganalisa pengaruh cahaya dan kualitas citra dalam mengklasifikasikan tingkat kematangan buah pisang berdasarkan ciri warna buah pisang di Kebun Pisang Cavendish kabupaten banyumas jawa tengah sesuai dengan SNI 7422:2009[1]. Dalam penelitian ini, para peneliti mengelompokkan tingkat kematangan buah pisang Cavendish dengan menggunakan Convolutional Neural Network (CNN) yang menggunakan arsitektur model VGG-19. Penggunaan VGG-19 difokuskan pada identifikasi tingkat kematangan buah pisang varietas Cavendish. Pemilihan model VGG-19 dilatarbelakangi oleh kedalaman serta keandalan arsitektur VGGNet yang terbukti efektif dalam teknologi ImageNet. Keterlibatan peneliti adalah untuk menguji ketepatan model VGG-19 dalam eksperimen ini, yang melibatkan total 9.000 dataset. Di antara jumlah tersebut, 80% digunakan sebagai data latihan, 10% sebagai data validasi, dan 10% sebagai data uji. Namun, hasil akurasi yang tercatat pada epoch 32, 64, dan 96 menunjukkan variasi yang signifikan. Pada epoch 32, 64, dan 96, VGG-19 berhasil mencapai akurasi tertinggi sebesar 97%
Kewenangan Pemerintah Dalam Pengadaan Tanah untuk Kepentingan Swasta berdasarkan Undang-Undang Nomor 2 Tahun 2012 tentang Pengadaan Tanah Bagi Pembangunan untuk Kepentingan Umum
This research aims to find out the authority and process and mechanism of land acquisition for private interests in terms of building the smelter facility of PT. Amman Mineral Nusa Tenggara (AMMAN) in the industrial area of Maluk Village, Maluk District, West Sumbawa Regency which is a National Strategic Project regulated in the Presidential Regulation of the Republic of Indonesia Number 18 of 2020 concerning the 2020-2024 National Medium Term Development Plan. In carrying out the development agenda (national priority) of the 2020-2024 RPJMN, Strategic Priority Projects (Major Projects) are prepared, namely 9 industrial areas outside Java and 31 smelters. In this regard, in terms of solving problems or answering problems, empirical normative types are used by using 3 approaches, namely the Conceptual Approach, the Statute Approach and the case approach by collecting data which includes data Primary and secondary data were studied and analyzed using qualitative-descriptive analysis. By using this method, the author is finally able to answer the existing problems, namely land acquisition for private interests in terms of the construction of PT. Amman Mineral Nusa Tenggara (AMMAN) based on Law Number 2 of 2012 concerning Land Acquisition for Public Interest for the construction of a smelter is carried out through 4 stages, namely the planning stage, the preparation stage, then the implementation stage and the results delivery stage. As for the process of implementing compensation for land acquisition for the public interest, the construction of the smelter PT. AMNT starts from the stages of inventory and identification of land tenure, ownership, use and utilization. After the inventory was carried out, the implementing team then carried out an assessment of compensation for community land which included the area of land required in this land acquisition
Revegetation as a driver of chemical and physical soil property changes in a post-mining landscape of East Kalimantan: A chronosequence study
As a result of mixing soil materials from various natural soil horizons, mine soils generally have low organic C and total N content. In wet tropical climates where the vegetation is evergreen, we hypothesize that with the start of revegetation, the organic C and total N levels of the mine soils will recover rapidly and increase as the time since revegetation increases. The increase in organic C and total N content will have implications for changes in other soil chemical and physical properties. The development of mine soils in wet tropical climate conditions is so far rarely considered only. This study aims to determine changes in the physical and chemical properties of mine soils in the initial stages of formation triggered by the increasing time since revegetation. Soils from permanent observation plots in ex-coal mined sites divided by time since revegetation (0–12 years) were sampled together with an adjacent site with natural forest. Decisive soil physical and chemical properties were determined for the soils from 0 to 30 cm depth. With the increasing time since revegetation, there was a decrease in bulk density, and an increase in total soil porosity following a logarithmic equation. Linear changes with increasing time since revegetation were found for organic C, total N, and available P levels. The linear increase in organic C, total N, and available P levels, the logarithmic decrease in bulk density and the increase in total porosity with increasing time since revegetation suggest that these parameters are controlled by vegetation in the initial stages of mine soil development, while the polynomial changes in extractable P and K (25% HCl), CEC, exchangeable bases, base saturation percentage, and exchangeable Al over time suggest that these parameters can be assigned to processes independent of vegetation and are highly dependent on the composition of the original substrate. © 2022 The Author
The regulatory role of mine soil properties in the growth of revegetation plants in the post-mine landscape of East Kalimantan
The growth of revegetation plants in post-mining areas is determined by the mine soil quality, which strongly depends on the physical and chemical properties of the original soil. Visual observation of revegetation plants in two ex-coal mining areas in East Kalimantan, i.e. Lati and Sambarata sites, showed a clear difference in plants growth. This research aims to study the role of the physical and chemical properties of mine soil on the growth rate of revegetation plants so that it can be used to develop a sustainable ex-mining land reclamation strategy. The observation plots on each ex-mining land were grouped into (0–2), (2–4), (4–6), (6–8), (8–10), and (10–12) years since revegetation. In each group, soil sampling was carried out at a depth of 0–30 cm for analysis of soil physical and chemical properties. Observations were also made on the development of plant growth. The better revegetation plant growth at Sambarata site compared to those at Lati site was indicated by the composition of the stand structure, stem diameter, and plant height. Both sites have a similar texture, which is dominated by silt, and slightly higher bulk densities at Sambarata site compared to those at Lati site. Hence, not soil physical properties but soil chemistry played a regulatory role in the growth of revegetation plants. Here, the exchangeable cations at Sambarata site were dominated by Ca2+ and Mg2+, whereas those at Lati site were dominated by Al3+. Linked with a high base saturation, the pH, organic C, total N, and available P2O5 mine soil quality of the Sambarata site were more favourable for plants growth. Thus, in reclamation activities in post-mining areas, soil quality improvement using lime, rock phosphate, and compost is indispensable to increase soil fertility and establish fast revegetation. © 2022 The Author(s
