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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.
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Articles 10 Documents
 1 
Search results for , issue "Vol 3 No 1 (2020): Jurnal Teknologia" : 10 Documents clear
Sediment Transport Study In Estuary Of Weriagar River, Kabupaten Teluk Bintuni, West Papua Fera Dwi Setyani
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Sediment transport study can be done by 3D numerical modeling for hydrodynamic and sediment transport simulation. In this study, 3D numerical modeling is calibrated by observation data, such as surface elevation and current speed. Hydrodynamic and sediment transport in estuary of Weriagar River is simulated for 31 days. Hydrodynamic simulation result shows that hydrodynamic in Weriagar River is dominated by river discharge while tide dominates the hydrodynamic in the estuary. Current speed is increasing during spring tide but current flows faster during ebb because the river discharge also flows to the estuary. Vertical profile indicates that current speed decreases as the elevation gets deeper. This condition is caused by bed resistance near the bed. Sediment transport simulation result shows bed level changes in Weriagar River. Maximum erosion occurs about 20 cm near the river bend with bed level change rate 0,02 m/day. Maximum erosion occurs in this location because the flow pattern and current speed increases at ebb condition. At the estuary, the erosion occurs with small intensity. This happens because longshore current from sea is entering the river mouth but is blocked by more dominate river discharge. Current speed affects suspended sediment concentration and bed level change rate
Improving Airport On-Time Performance Using Kepner-Tregoe Problem-Solving Approaches Gita Kurnia; Hegel Johanes; Dicka Hidayat; Adelady Rozha; Mutia Zahvira; Iwan Sukarno
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Indonesia’s Soekarno-Hatta Airport has been putting efforts to provide a better service to airline passengers. However, due to some problems, Soekarno-Hatta Airport's on-time performance has recorded a drastic decline since the beginning of 2016 to early 2018. Therefore, this study aims to propose a strategy to improve Soekarno-Hatta Airport’s on-time performance using creative problem-solving approaches. The proposed strategy is designed based on secondary data collected from January 2016 to December 2018. This study evaluates the data using creative problem-solving approaches and uses Singapore’s Changi Airport as a benchmark airport. The root causes of improving on-time performance is identified using Kepner-Tregoe Problem Analysis, while the solution is designed using SCAMPER technique, Kepner-Tregoe Decision Analysis, Adverse Consequences table and Kepner-Tregoe Potential Problem Analysis. The result reveals several problem’s root causes which influence the low on-time performance in Soekarno-Hatta Airport such as: less integrated baggage handling system, longer passenger loading process due to long queue at check-in gates, high number of arriving delay caused by late departure from origin port, and unpredictable weather. The proposed solution for these problems is improving the baggage handling system in Soekarno-Hatta Airport using the latest conveyor technology. By implementing this solution, it is expected that the on-time performance in Soekarno-Hatta Airport will increase and reach the same level as Changi Airport’s.
Studi Konseptual Strategi Pengembangan Reservoir Oil Rim Menggunakan Referensi Global Andrian Suhartanto; Nor Hidayatullah
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Various efforts have been made to increase oil reserves in the upstream oil and gas industry. One of them is by exploring the thin oil reservoir layer, also known as the reservoir oil rim. The reservoir oil rim can act as a hydrocarbon container that provides alternative reserves to be developed with outputs increasing the value of oil production. In developing a new reservoir oil rim in a field, the selection of reservoir oil rim depletion strategies needs to be supported by technical justification in the form of screening methods and appropriate strategies based on best practices and lessons learned from global reference fields that have developed reservoir oil rim. The right strategy is expected to be able to provide a production effect in the form of significant recovery factor output. It is expected that the concept of developing the reservoir oil rim can be a new innovation in the exploration of alternative oil reserves in the upstream petroleum industry.
Pengaruh Geometri Terhadap Performa Latent Heat Thermal Energy Storage (Lh-Tes) Jenis Anulus Dengan Lilin Parafin Sebagai Phase Change Material (PCM) Chaidier Ismail Halis
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

A simulation-based study was conducted to model the transient phenomenon of heat transfer on Latent Heat Thermal Energy Storage (LH-TES) annular type with Phase Change Material (PCM) on the inner side and uses water as Heat Transfer Fluid (HTF) circulating on the outer side. A computational fluid dynamics model is developed to observe that phenomenon and validated with experimental data. The model is used to analyze the effect of geometry on improving LH-TES performances. An enthalpy-porosity formulation is adopted to model the melting process of the PCM. Geometry variation was done by enlarging the diameter of the pipe used both inside and outside. A value obtained by comparing the enthalpy value of fully melted PCM with the time take to reach that phase is used to quantify the performance of LH-TES. The result shows that the diameter enlargement of the inner pipe does increase LH-TES heat transfer performance up to 7.74%, while diameter enlargement of the outer pipe does decrease LH-TES heat transfer performance up to 1.04%. Keywords: Heat Transfer, Computational Fluid Dynamics, LH-TES
Pengujian Batasan Selisih |25 Mm| Antara Level Dipping Vs Level ATG Di SPBU PTPR Berdasarkan Api MPMS Dan TKO Pelaksanaan Pemeriksaan Persediaan Product Hydrocarbon Khusnun Widiyati; Ariantari Ariantari
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Pengukuran volume bahan bakar disuatu statiun pengisian bahan bakar dilakukan dengan menggunakan metode dipping manual dan sensor Automatic Tank Gauge (ATG). Metode dipping digunakan untuk mengkalibrasi keakuratan hasil pengukuran dengan menggunakan metode ATG. Akan tetapi, dibeberapa keadaan dijumpai hasil pengukuran level dipping berbeda dengan hasil level ATG, bahkan sejak instalasi awal. Pada keadaan seperti ini diambil tindakan penyesuaian sensor ATG (ATG Adjusting) sebagai bagian dari standar pos pelaksanaan pemeriksaan fisik persediaan produk hidrokarbon. Namun demikian, hasil pengukuran sensor ATG baik sebelum dan sesudah dilakukan ATG Adjusting dapat digunakan untuk menghitung volume bahan bakar apabila selisih antara hasil pengukuran level dipping dan level ATG konsisten dalam batas |25 mm| =|2.5 mm|. Paper ini mengevaluasi perbedaan hasil pengukuran level dipping dan level ATG yang terjadi di beberapa lokasi stasiun pengisian bahan bakar yang dimiliki dan dioperasikan oleh PT. Pertamina Retail. Observasi dilakukan terhadap 58 sampel SO dan 572 populasi SO. Analisis data menggunakan uji statistika t-test menunjukkan bahwa tidak terdapat perbedaan signifikan antara hasil pengukuran level dipping dan level ATG pada kedua data tersebut, baik pada pengukuran di waktu yang sama maupun waktu, maupun pada pengukuran dari waktu ke waktu.
Characteristic of Hydrothermal Alteration, Ore Mineralization And Fluid Inclusion Of Watuijo Prospect, Tulungagung Regency As An Indication Of Porphyry CU System Dian Yesy Fatimah; Arifudin Idrus; I Wayan Warmada; Iwan Setiawan
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Watuijo Prospect is located in Panggunguni Village, Tulungagung district, East Java Province, Indonesia. The alteration rock, as a lithocap, is associated with stockwork veinlet which is filling by pyrite, malachite and azurite. The aim of this research is to characterize mineralization type using field data that analyzed by petrography, XRD, and fluid inclusion methods. The geology of research area was consist of sandstone and limestone as a wall rock that intruded by dacite as a host rock.. The hydrothermal alteration can be identified as phyllic alteration, argillic alteration and also advanced argillic alteration. Ore mineralization is characterized by disseminated sulphides such as pyrite, chalcopyrite, magnetite, bornite, sphalerite, covelite, and digenite with veinlet type are A type, AB type, and D type. Hydrothermal fluid of Watuijo Prospect is typified by high temperature (~385 to >400oC) and high salinity (46 to 52 wt.% NaCl). It shows that the type of the deposit is Cu-Au mineralization of porphyry system.
Accuracy Improvement For Remote Sensing Based Lithological Mapping By Using Randomisation And Categorical Coincidence Rio Priandri Nugroho; Mohamad Roviansah
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Remote sensing based lithological mapping is commonly applied in the field of earth science as it requires less resource in contrast with real field work. Limitation regarding low accuracy is a challenge that should be tackled in applying remote-sensing based classification. In this paper, an attempt to improve overall accuracy of image classification using randomisation and categorical coincidence analysis was performed. It yielded final majority classification map which has higher overall accuracy compared to the overall accuracy of the population average and the overall accuracy of the map created by including all training data.
Penerapan Algoritma Backpropagation Pada Pengenalan Tanda Nomor Kendaraan Bermotor Untuk Kartu Parkir Berbasis RFID Rizki Putra Pamungkas; Dwina Kuswardani; Riki Ruli A. Siregar
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

This research was conducted to improve a parking system's security using Radio Frequency Identification (RFID) technology to open parking barriers. To open the parking barriers, you must use an RFID card that has been registered to the system. There is no license plate checking on the parking system so that the RFID card can take other vehicles from the parking lot. Therefore, the RFID card needs to be linked with the license plate data using pattern recognition with an Artificial Neural Network. In this parking system, the backpropagation algorithm will be applied to identify the characters from the license plate's image captured with the camera. Information on parked vehicles can be seen through a web- based application that the administrator can only access. Also, this application can view the history of previously parked vehicles. Based on the calculation of accuracy using the confusion matrix, the backpropagation algorithm to identify the characters in this parking system has an accuracy value of 85.7%.
Klasifikasi Untuk Memprediksi Pembayaran Kartu Kredit Macet Menggunakan Algoritma C4.5 Putri Ayu Mardhiyah; Riki Ruli A. Siregar; Pritasari Palupiningsih
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Many credit card issuing companies experience problems related to bill payments by their customers or also known as bad credit payments that are not according to the agreement so that they are detrimental to the company itself. In this case, there is still a pile of unclassified credit cardholder customer data and problem-solving patterns are found. The C4.5 algorithm is used to predict whether a customer is a credit default payment or not. This study uses a data set that has determining criteria, namely the amount of credit, status, age, and payment status for 1-3 months. From the results of research using 4199 customer data results in an evaluation that the C4.5 algorithm is applied accurately to predict whether or not customer credit card payments are bad with an accuracy level of 70.93%.
Implementasi Metode Naive Bayes Classifier (NBC) Pada Komentar Warga Sekolah Mengenai Pelaksanaan Pembelajaran Jarak Jauh (PJJ) Naomi Chatrina Siregar; Riki Ruli A. Siregar; M. Yoga Distra Sudirman
JURNAL TEKNOLOGIA Vol 3 No 1 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

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Abstract

Many credit card issuing companies experience problems related to bill payments by their customers or also known as bad credit payments that are not according to the agreement so that they are detrimental to the company itself. In this case, there is still a pile of unclassified credit cardholder customer data and problem-solving patterns are found. The C4.5 algorithm is used to predict whether a customer is a credit default payment or not. This study uses a data set that has determining criteria, namely the amount of credit, status, age, and payment status for 1-3 months. From the results of research using 4199 customer data results in an evaluation that the C4.5 algorithm is applied accurately to predict whether or not customer credit card payments are bad with an accuracy level of 70.93%.

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