13 research outputs found
Penanggulangan Permasalahan Water Coning Pada Sumur Esp Menggunakan Metode Analisis Laju Alir Kritis Chiericci Dan Penurunan Frekuensi Pada Variable Speed Drive
No full textOver time, oil production in well “R” has decreased, currently well “R” has an actual flow rate of 490 BFPD with a water cut of 90%, consisting of an oil flow rate of 49 BOPD and a water flow rate of 441 BWPD, with the high water flow rate in this well, well “R” is indicated to be experiencing water coning problems. Water coning occurs when the actual production rate exceeds the critical production rate, which is the fluid production rate permitted by a well to be produced without coning, so that excessive production causes the flow pressure gradient to exceed the gravitational force, resulting in the penetration of the productive layer by water. The Chierici method is one method that can be used to calculate the critical production rate in the "R" well in order to determine whether the well being studied is experiencing water coning. The method used to overcome the water coning problem in this study is to reduce the flow rate by reducing the frequency on the Variable Speed Drive (VSD). Well “R” uses an artificial lif electric submersible pump with an actual production rate of 490 BFPD exceeding the critical production rate of 157.487 BFPD, so to overcome the water coning problem, the flow rate is reduced by reducing the pump frequency using a variable speed drive, the frequency recommended by the author is 19 Hz with a flow rate of 155.17 BFPD
Mathematics Learning Management Framework in Biak Numfor: Numfor Island a Remote Area Direction Towards the Future
No full textThis study attempts to conduct a comprehensive and in-depth examination of the challenges in managing learning at SMPN 3 Numfor Barat located on Numfor Island. To achieve the research objectives, the author uses a qualitative research methodology to explore field phenomena naturally and comprehensively. This study involved 1 head of educational unit, 1 subject teacher, and 141 students. Research techniques include field observation, document analysis, and detailed interviews to identify key issues in the learning management process. Data processing includes initial collection, reduction, presentation, analysis, verification and validation, drawing conclusions, and formulating recommendations. The research findings are that: 1) Learning management at SMPN 3 Numfor Barat includes planning, implementation, and evaluation functions. 2) These management components have not been implemented effectively and efficiently. 3) The main challenge in managing learning at SMPN 3 Numfor Barat lies in the planning stage, where learning materials are fully aligned. This study provides valuable insights for the government, education department, Education Unit Companions, heads of education units, teachers, and stakeholders to design and implement learning
ANALISIS KEAMANAN WEB SERVER OPEN JOURNAL SYSTEM (OJS) MENGGUNAKAN METODE ISSAF DAN OWASP (STUDI KASUS OJS UNIVERSITAS LANCANG KUNING)
Get PDFPerkembangan teknologi informasi yang begitu pesat memberikan dampak positif dalam berbagai bidang, salah satunya adalah teknologi internet. Website menjadi alternatif bagi institusi dalam mempromosikan kepada masyarakat umum. Website juga mudah diakses oleh banyak orang, yang tidak kenal tempat maupun waktu. Dengan adanya kemudahan tersebut, banyak instansi membangun web server tanpa memperhatikan apakah web server yang dibangun sesuai dengan standar keamanan atau tidak, apakah sistem yang dibangun sudah aman atau ada gangguan. Universitas Lancang Kuning mempunyai web server yang berisi banyak sistem informasi dan dokumen yang dipublikasi bagi pengguna. Salah satu sistem yang paling krusial adalah sistem Open Journal System (OJS). Menurut informasi dari PDPT Universitas Lancang Kuning, bahwa sistem Open Journal System (OJS) sudah dua kali terjadi cracking. Kerusakan terhadap OJS ini mengakibatkan data yang terdapat pada sistem OJS hilang, bahkan author sering komlain kepada pengelola jurnal. Pengujian terhadap web server sangatlah penting dilakukan, pengujian ini bertujuan untuk menguji apakah web server sudah aman atau belum dari tindak kejahatan para hacker. Dalam pengujian penetrasi ada beberapa metode yang sering dipakai seperti Information Systems Security Assessment Framework (ISSAF), OWASP. Pada penelitian ini digunakan metode ISSAF dan OWASP versi 4. Metode penelitian yang digunakan pada penelitian ini diantaranya adalah studi literatur, pengumpulan data, pengujian penetrasi menggunakan metode ISSAF dan OWASP, dan analisa dan laporan. Adapun tujuan penelitian ini adalah bagaimana menganalisis keamanan sistem Open Journal System (OJS) menggunakan metode ISSAF dan OWASP pada Universitas Lancang Kuning. Berdasarkan pengujian yang telah dilakukan menggunakan metode ISSAF dan OWASP, sistem OJS Universitas Lancang tergolong aman, karena tidak mampu untuk ditembus. Walaupun OJS Universitas Lancang Kuning tergolong aman, serangan bisa saja terjadi dari dalam institusi
PENGARUH PEMBELAJARAN E-COMMERCE TERHADAP KEMANDIRIAN USAHA ALUMNI PESERTA DIDIK PROGRAM PENDIDIKAN KEWIRAUSAHAAN: Studi Pada PKBM Cahaya Kahuripan Bangsa Kecamatan Lembang
Get PDFSejak berkembangnya informasi digital pada masa modern, tutor dituntut untuk menyelenggarakan proses pembelajaran yang kreatif dan inovatif demi menunjang kebutuhan peserta didik nya. Dalam pendidikan kewirausahaan, tutor dapat memanfaatkan e-commerce sebagai bagian dari proses pembelajaran. Penelitian bertujuan mengetahui apakah terdapat pengaruh antara pembelajaran e-commerce terhadap kemandirian usaha alumni peserta didik program pendidikan kewirausahaan di Pusat Kegiatan Belajar Masyarakat Cahaya Kahuripan Bangsa. Pendekatan penelitian yang digunakan pada penelitian ini adalah penelitian kuantitatif dengan metode penelitian deskriptif dan alat yang digunakan untuk mengumpulkan data menggunakan kuesioner. Alat ukur pembelajaran e-commerce dan kemandirian usaha dirancang mandiri oleh penulis. Teknik sampel yang digunakan merupakan total sampling. Populasi penelitian ini adalah alumni peserta didik program pendidikan kewirausahaan dan sampel yang digunakan pada penelitian ini adalah sebanyak 15 orang. Teknik analisis data berupa uji rank korelation spearman menggunakan SPSS untuk mengetahui pengaruh pembelajaran e-commerce terhadap kemandirian usaha alumni peserta didik. Hasil penelitian menunjukan bahwa 1) Gambaran pembelajaran e-commerce alumni peserta didik pada program pendidikan kewirausahaan memiliki skor tertinggi pada indikator tujuan pembelajaran e-commerce. 2) Kemandirian usaha alumni peserta didik pada program pendidikan kewirausahaan memiliki skor tertinggi pada indikator mampu mengambil keputusan. 3) Tidak terdapat pengaruh pembelajaran e-commerce terhadap kemandirian usaha alumni peserta didik program pendidikan kewirausahaan.
Since the development of digital information in modern times, tutors are required to organize creative and innovative learning processes to support the needs of their students. In entrepreneurship education, tutors can utilize e-commerce as part of the learning process. The research aims to determine whether there is an influence between e-commerce learning on the business independence of alumni of students in the entrepreneurship education program at the Cahaya Kahuripan Bangsa Community Learning Activity Center. The research approach used in this research is quantitative research with descriptive research methods and the tools used to collect data using questionnaires. The measuring tool for e-commerce learning and business independence was designed independently by the author. The sampling technique used is total sampling. The population of this research is alumni of entrepreneurship education program students and the sample used in this research was 15 people. The data analysis technique is a Spearman rank correlation test using SPSS to determine the effect of e-commerce learning on the business independence of student alumni. The research results show that 1) Description of e-commerce learning, alumni of students in the entrepreneurship education program have the highest scores on the e-commerce learning objective indicators. 2) The business independence of alumni students in the entrepreneurship education program has the highest score on the indicator of being able to make decisions. 3) There is no influence of e-commerce learning on the business independence of alumni of entrepreneurship education program students
PELAKSANAAN GANTI RUGI TERHADAP TANAH YANG TERDAMPAK PEMBANGUNAN JALAN TOL JOGJA-SOLO DI KECAMATAN KEBONARUM KABUPATEN KLATEN
Get PDFThis thesis is entitled “IMPLEMENTING COMPESATION FOR LAND AFFECTED BY THE CONSTRUCTION OF THE JOGJA-SOLO TOLL ROAD IN KEBONARUM SUBDISTRICT, KLATEN REGENCY“Implementation of land use savings for land acquisition for the Jogja-Solo toll road. Law Number 2 of 2012 concerning land acquisition for development in the public interest is a law that discusses how land acquisition activities that will later be used for the public interest must be carried out. It often causes problems that are detrimental to society. The purpose of this writing is to find out what form of compensation is given, especially in Kebonarum District. This legal research is empirical legal research, namely legal research where the author goes directly into the field to interview residents affected by the construction of the Jogja-Solo toll road. The conclusion of this article is that the implementation of land acquisition carried out by the government is largely in accordance with applicable laws and regulations, it's just that what has been permitted in Malangjiwan Village is
still not fulfilled. In terms of compensation, most people agree with the form and amount of compensation received
Implementasi Metode Fuzzy K-Means untuk Cluster Judul Skripsi Mahasiswa
Get PDFClusters are a way of classifying data which can later be used as information and processed using data mining methods with certain algorithms. From here the author wants to try to use data in the form of thesis titles or final assignments from students, which later can be grouped from these results. So that the existing data can be processed using a data mining method, namely Fuzzy K-Means (FKM).The data used in this study uses thesis data of students majoring in information technology. As a comparison, the data is also processed using K-Means, from the K-Means calculation, the average cluster is 1.014 and the DBI validity is 0.725. Meanwhile, for the calculation of Fuzzy K-Means, the cluster average is 0.069 and the DBI validity is 0.30
Textural Quantification and Classification of Drill Cores for Geometallurgy: Moving Toward 3D with X-ray Microcomputed Tomography (µCT)
No full textTexture is one of the critical parameters that affect the process behavior of ore minerals. Traditionally, texture has been described qualitatively, but recent works have shown the possibility to quantify mineral textures with the help of computer vision and digital image analysis. Most of these studies utilized 2D computer vision to evaluate mineral textures, which is limited by stereological error. On the other hand, the rapid development of X-ray microcomputed tomography (µCT) has opened up new possibilities for 3D texture analysis of ore samples. This study extends some of the 2D texture analysis methods, such as association indicator matrix (AIM) and local binary pattern (LBP) into 3D to get quantitative textural descriptors of drill core samples. The sensitivity of the methods to textural differences between drill cores is evaluated by classifying the drill cores into three textural classes using methods of machine learning classification, such as support vector machines and random forest. The study suggested that both AIM and LBP textural descriptors could be used for drill core classification with overall classification accuracy of 84â??88. © 2020, The Author(s).</p
Textural Quantification and Classification of Drill Cores for Geometallurgy: Moving Toward 3D with X-ray Microcomputed Tomography (µCT)
No full textTexture is one of the critical parameters that affect the process behavior of ore minerals. Traditionally, texture has been described qualitatively, but recent works have shown the possibility to quantify mineral textures with the help of computer vision and digital image analysis. Most of these studies utilized 2D computer vision to evaluate mineral textures, which is limited by stereological error. On the other hand, the rapid development of X-ray microcomputed tomography (µCT) has opened up new possibilities for 3D texture analysis of ore samples. This study extends some of the 2D texture analysis methods, such as association indicator matrix (AIM) and local binary pattern (LBP) into 3D to get quantitative textural descriptors of drill core samples. The sensitivity of the methods to textural differences between drill cores is evaluated by classifying the drill cores into three textural classes using methods of machine learning classification, such as support vector machines and random forest. The study suggested that both AIM and LBP textural descriptors could be used for drill core classification with overall classification accuracy of 84â??88. © 2020, The Author(s).</p
Development and experimental validation of a texture-based 3D liberation model
No full textPrediction of mineral liberation is one of the key steps in establishing a link between ore texture and its processing behavior. With the rapid development of X-ray Microcomputed Tomography (µCT), the extension of liberation modeling into 3D realms becomes possible. Liberation modeling allows for the generation of particle population from 3D texture data in a completely non-destructive manner. This study presents a novel texture-based 3D liberation model that is capable of predicting liberation from 3D drill core image acquired by µCT. The model takes preferential, phase-boundary, and random breakage into account with differing relative contributions to the liberation depending on the ore texture itself. The model was calibrated using experimental liberation data measured in 3D µCT. After calibration, the liberation model was found to be capable of explaining on average of around 84 of the variance in the experimental liberation data. The generated particle population can be used for particle-based process simulation to evaluate the process responses of various ore textures subjected to various modes of breakage. © 2021 The Author(s)</p
Development and experimental validation of a texture-based 3D liberation model
No full textPrediction of mineral liberation is one of the key steps in establishing a link between ore texture and its processing behavior. With the rapid development of X-ray Microcomputed Tomography (µCT), the extension of liberation modeling into 3D realms becomes possible. Liberation modeling allows for the generation of particle population from 3D texture data in a completely non-destructive manner. This study presents a novel texture-based 3D liberation model that is capable of predicting liberation from 3D drill core image acquired by µCT. The model takes preferential, phase-boundary, and random breakage into account with differing relative contributions to the liberation depending on the ore texture itself. The model was calibrated using experimental liberation data measured in 3D µCT. After calibration, the liberation model was found to be capable of explaining on average of around 84 of the variance in the experimental liberation data. The generated particle population can be used for particle-based process simulation to evaluate the process responses of various ore textures subjected to various modes of breakage. © 2021 The Author(s)</p
