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INDONESIA
TEKNOLOGIA
Published by Aliansi Perguruan Tinggi Badan Usaha Milik Negara
ISSN : 26545683     EISSN : -     DOI : -
Core Subject : Science, Education, Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Mathematics
Jurnal Teknologia dengan ber-ISSN 2654-5683 merupakan bagian dari Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN), adalah jurnal keilmuan yang merupakan produk kolaborasi dari lima (5) Perguruan Tinggi yang tergabung dalam APERTI BUMN, yaitu Universitas Pertamina, Telkom University, Universitas Internasional Semen Indonesia, Sekolah Tinggi Teknik-PLN dan Sekolah Tinggi Manajemen Logistik. Jurnal Teknologia mencakup semua bidang ilmu yaitu bidang Sains, Teknologi, maupun Sosial.
Arjuna Subject : -
Articles 10 Documents
 1 
Search results for , issue "Vol 2 No 1 (2019): Jurnal Teknologia" : 10 Documents clear
PRODUKSI DAN KARAKTERISASI SILIKA SEBAGAI MATERIAL MULTIFUNGSI DARI LIMBAH JAGUNG Ayu Dahliyanti; Ika Dyah Widharyanti; Catia Angli Curie
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

In order to prevent negative environmental impact, high volume of waste generated from corn processing needs to be transformed into a more valuable product. Based on the mineral composition of corn plant, this waste could become a potential source of silica, a multifunctional material with applications in various fields, such as semiconductor, adsorbent technology, catalysis, and lithium ion battery. In this work, corn husks, cobs, and stalks is processed through leaching at various HCl concentration, followed by atmospheric decomposition at moderate temperature to obtain silica for further suitable application. Morphological characteristic is analyzed by SEM images, crystallinity of silica is determined by XRD, while purity and possible organic contaminants are investigated by FTIR. The result shows that corn husks provide the highest silicon dioxide yield at 2.543 wt.%. Powders obtained from corn husks also indicate a higher purity with insignificant metallic or organometallic contaminants, showing closest crystal structure to the mixture of quartz and amorphous phase.
PENGATURAN TORSI PADA HYBRID ELECTRIC VEHICLE (HEV) MENGGUNAKAN METODE NEURO-FUZZY PREDIKTIF Aulia Rahma Annisa; Wahyu Kunto Wibowo; Nita Indriani Pertiwi
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

In hybrid electric vehicle, there are two sources of energy, namely Internal Combustion Engine (ICE) and DC motor. ICE as the prime mover has a smaller capacity than conventional vehicles because of the work is assisted by the DC motor. The DC motor acts to help internal combustion engine reach the torque and the speed as desired. Torque control of hybrid electric vehicle provide of how much torque required by the DC motor to assist the performance of ICE. When the ICE are not able to maintain the speed, the DC motor will help to provide the power. To overcome these problems, neuro-fuzzy predictive methods using inverse models are used. Neuro-fuzzy controller has the advantage of adaptability when the parameters in the system change. HEV itself requires a quick response therefore predictive controller used in order to predict the future value of the torque. Testing results showed that neuro-fuzzy predictive method which combines neurofuzzy controller with inverse models, able to assist ICE follows the reference model. The use of neuro-fuzzy predictive showed better control performance. This is shown from the speed response in 0.25 seconds able to produce a torque of 0.161 N-m, so that the HEV system can follow the desired reference model.
STUDI KELAYAKAN EKONOMI PENGEMBANGAN APLIKASI PEMINJAMAN RUANGAN DI UNIVERSITAS PERTAMINA Muhammad Deta Aditya; Meredita Susanty; Muhammad Rizky Widyayulianto; Fitri Karimah; Akhmal Rizkyanto; Marrosandy Bagus Saputra
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Waste are serious environmental issues in Indonesia. To minimize waste, there have been efforts by companies to reduce the amount of paper used. For example, in Universitas Pertamina there has been idea to make a new application-based system to rent a room, replacing the old system that still produce waste such as paper and ink bottle. Before making the application, there should be an economic feasibility study to determine whether this application can be made from economy aspects. To conduct this study, quantitative method was used, as well interview and literature studies to gather data. From that, the estimation of cost for existing room renting system is Rp98.609.423,30. Meanwhile, the estimation of cost needed to make an application for room renting system is Rp15,254,680.00 and the cost to run the system is Rp48.840.856,30. From data collected above, it says that payback period from the development of the application is less than a year, so the development of application of room renting is feasible in the economical aspect.
PREDIKSI LAJU PENETRASI PENGEBORAN MENGGUNAKAN JARINGAN SARAF TIRUAN Fadhil Rhisnanda; Raka Sudira Wardana; Bastian Andoni
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Various efforts have been made to reduce drilling costs in the oil and gas upstream industry. One of it is by maximizing drilling Rate Of Penetration (ROP), the speed at which a drill bit breaks the formation underneath it to deepen the borehole. High ROP resulted in shorter drilling times can reduce drilling costs. This is the ideal condition that is expected in every drilling process. However, many factors such as environmental factors (rock formations, wellbore size, drilling mud), drilling parameters (weight on bits, rotational speed, flow rate, hydraulics, etc.) and the characteristics of the bits determine the ROP. Among all, drilling parameters is the only one that can be customized to generate the highest ROP during the drilling process. Choosing drilling parameters to generate the highest ROP in the various environmental condition is not a trivial thing. Moreover, the correlation among these parameters is not linear, and some other factors also affect ROP. Some empirical ROP models that can be used requires parameters that are not always available in the operation field. This study proposes an Artificial Neural Network (ANN) to predict ROP. Using formation type and drilling parameters data as the input, the model produces a great degree of accuracy (R-square at least 0.8). It shows that ANN can become a better alternative to find the optimum drilling parameter to achieve the highest ROP.
Rumusan Konseptual Neraca Massa sebagai Alternatif untuk Monitoring Laju Massa Produksi di Titik Separator fluida Dua Fasa Panasbumi Basith Furqon Prasetyo Hadi
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

In geothermal fluid transportation using piping network, fluid parameter monitoring is certainly important, such as pressure and temperature measurement, flow rate or mass rate measurement, and chemical composition determination. Measuring tools are used for monitoring purpose and usually having several constraints. Rather than using difficult measuring tools to analyze geothermal fluid mass rate in the separator, we can calculate by using mass balance theory, which is correlating the concentration of some chemical components on geothermal fluid with its mass rate. It is expected that this way of calculation will provide an easier way than using measuring tools. Dalam suatu operasi transportasi fluida panasbumi menggunakan jaringan pipa, sangat penting adanya monitoring parameter, seperti penentuan tekanan dan temperatur, penentuan laju massa atau laju alir fluida serta komposisi kimia fluida yang mengalir. Alat ukur digunakan dalam upaya monitoring dan biasanya memiliki beberapa batasan. Dibandingkan dengan menggunakan alat ukur yang sulit digunakan untuk mengukur laju massa di separator, penentuan laju massa dapat menggunakan konsep neraca massa, yaitu mengorelasikan banyaknya suatu komponen tertentu yang terkandung dalam fluida dengan jumlah laju massa fluida. Diharapkan konsep ini dapat dijadikan suatu alternatif perhitungan laju massa fluida yang lebih mudah daripada menggunakan alat ukur.
STUDI PROSES AGREGASI AIR DALAM BAHAN BAKAR DIESEL MENGGUNAKAN SIMULASI DINAMIKA MOLEKUL COARSE GRAIN Khabib Khumaini; Mohammad Koyimatu; Tegar Nurwahyu Wijaya
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Presence of water in diesel can improve the combustion efficiency and reduce NOx and SOx emission. A small portion of non-ionic surfactants is required to prevent aggregation and separation water from diesel. Thus, coarse grain molecular dynamic simulation was conducted to study aggregation process of water in dodecane with absence and presence of non-ionic surfactants. The simulation was performed at 300 K and 1 atm using GROMACS 2016 with martini force field v2.2ref for 1500 ns. The analysis of simulation coordinate show that aggregation process occurred in both condition. However, the presence of non-ionic surfactants in surface of water aggregate prevents the aggregation process further. Hence, water aggregation in presence of surfactants is slower and incompleted. Furthermore, this method can be used to develop new non-ionic surfactants to stabilize water in diesel.
PENGARUH EARNING PER SHARE (EPS), PRICE EARNING RATIO (PER) DAN PRICE BOOK VALUE (PBV) TERHADAP HARGA SAHAM EMITEN PERBANKAN INDEKS LQ45 DI BURSA EFEK INDONESIA TAHUN 2013- 2017 Elan Nurhadi Purwanto; Suhari Pranyoto
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

The purpose of this study examines the effect of Price Earning Ratio (PER), Price to Book Value Ratio (PBV) and Earning Per Share (EPS) on Stock Prices in banking companies listed on the Indonesia Stock Exchange, LQ45 index, in 2013-2017. This study is based on annual reports taken from the Indonesian Capital Market directory and other sources of support. The research sample was taken by purposive sampling technique with result in 5 banking issuers with 25 observation data and 5 cross section data. Data were analyzed by multiple regression techniques with the Ordinary Least Squared (OLS) approach. This study uses a panel data method with a fixed effect model by reviewing version 10. as a statistical tool. This study shows that PER, EPS and PBV have a positive and significant effect on stock prices simultaneously. Partially, PER has a positive and significant effect but PBV and EPS have a positive but not significant effect. The influence of PER significantly indicates that profitability is a priority consideration of investors rather than other factors.
KLASIFIKASI GIGITAN ULAR MENGGUNAKAN LOCAL BINARY PATTERN DAN NAÏVE BAYES Fathur Rohman; Adiwijaya Adiwijaya; Dody Qori Utama
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Cases of poisonous snake bites around the world are estimated to occur around 421,000 cases and 20,000 of them die every year. Identifying snake bite marks on victims will greatly help the medical team in handling victims of snake bites and will avoid fatal errors such as the death of the victim. This research will try to create a system that can classify snake bites images. The system has been built using the extraction method Local Binary Pattern (LBP) and Naive Bayes. Parameter r is a radius, while paramter P is the number of neighbor . The best result of this system has accuracy 83.33%, precision 1.00, recall 0.75, and F1 Score 0.86,parameter that used are r = 1 with P = 8 and r = 3 with P = 16. The dataset used has 20 data, the data divided into 14 training data and 6 testing data.
PERBANDINGAN PEMBOBOTAN UNTUK KLASIFIKASI TOPIK BERITA MENGGUNAKAN DECISION TREE Henri Tantyoko; Adiwijaya Adiwijaya; Untari Novia Wisesty
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

News is a media to add insight into the outside world, many events that can not be known directly, because it is news that can make it easier to find out more extensive information about the increase. News dissemination consists of online for internet and offline for print media. In the present era, the development of the internet is very fast, making it easier to access information, media delivery of news becomes varied with the internet. Many news available online cause problems because news published by publishers can make mistakes in categorizing news content into the right category. Need technical contributions to categorize news automatically. Categorization of the method used. In this study, the authors used the Decision Tree classification method. A process that is no less important before classification is the word weighting technique. To get optimal accuracy, the authors combine classification techniques using Decision Tree with word weighting techniques TF.ABS, TF.CHI2, TF.RF and TF.IDF. Receive TF.ABS which has the
PENANGANAN GANGGUAN LISTRIK RUMAH TANGGA MENGGUNAKAN ALGORITMA GREEDY UNTUK PENENTUAN JARAK OPTIMAL Ayu Fadhilah Prianty; Riki Ruli A. Siregar; Rakhmat Arianto
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Electricity is a necessity that can be said has become the basic needs of society today. By exploiting technological developments, it is expected to facilitate PLN electricity customers in reporting electrical disturbances easily so that officers can provide response handling disorders quickly. One of the most commonly utilized technologies is Internet technology that can easily access website applications. Technical Service Post, PLN Area Cengkareng and Kalideres not utilize it well, for that need an application that can do the calculation of the optimal distance from report point to nearest duty using Greedy Algorithm. In the optimization problem, the Greedy Algorithm can produce an optimal solution. With the process, customers can easily find the nearest PLN officers, monitor the status of the report so that expected information can be immediately responded to disruption and handling

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