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Techno LPPM
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
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Articles 6 Documents
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Search results for , issue "Vol. 6 No. 1 (2020): November" : 6 Documents clear
WATER RESOURCES OF SUGAPA INTAN JAYA - PAPUA DISTRICT Pratiknyo, Puji
Journal TECHNO Vol. 6 No. 1 (2020): November
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v6i1.4221

Abstract

The existence and potential of water resources in the Sugapa District need to be known because the Sugapa District is the capital of Intan Jaya Regency. By conducting geological mapping and research as well as direct measurement of quantity and quality in the field, the results are obtained that springs are the main water resource used by residents in the study area. There are 7 (seven) springs in the Sugapa District which are in difficult morphology, in the form of steep valleys at high elevation (1,749 - 2,273 meters from sea level). Spring water discharge varies (<0.1 - 5.78 liters / second) with a quality that in general the parameters meet the drinking water quality requirements.
THE INFLUENCE OF STEM CUTTING TYPE AND IBA CONCENTRATION ON VEGETATIVE GROWTH OF BOUGAINVILLEA Herastuti, Heti; EK, Siwi Hardiastuti
Journal TECHNO Vol. 6 No. 1 (2020): November
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v6i1.4222

Abstract

Bougainvillea is one of the ornamental plants usually use for landscaping because of its colorful leaves and flowers. It is also used as a stabilizer and environmental preserver of pollution. This plant is propagated by cutting, however, there is a need to ensure easy growth of roots. Therefore, the purpose of this research was to determine the influence of stem cutting type and IBA concentration on vegetative growth of bougainvillea. The study was conducted in the experimental garden of the Faculty of Agriculture, UPN "Veteran” Yogyakarta, between October 2019 and January 2020 using a Randomized Completely Block Design (RCBD) with a factorial arrangement. The factors include the terminal, middle, and basal types of stem cutting while the IBA concentration was varied between 50, 100, 150 ppm and without IBA. The result showed 100 ppm IBA on the middle and basal type produced higher shoot number and shoot length of bougainvillea. The middle and basal type produced the best of percentage cutting to life, root number, length of longest root, and root volume. The giving IBA in cuttings produced the better root growth than without IBA.
OPTIMIZATION OF PUMPING AND WATER FILTRATION FOR SUBTERRANEAN RIVER OF GOA TUK SARINING KEMBANG IN THE INTEREST OF WATER FULFILLMENT IN GEBANG HAMLET AND ITS SURROUNDING Purwanto, Heru Sigit; Sugiarto, Bambang; Fatchurohman, Dedi
Journal TECHNO Vol. 6 No. 1 (2020): November
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v6i1.4223

Abstract

Water is the primary needs for the livelihood of people in Gebang hamlet, Girisuko village, Gunung Kidul Regency, Special Region of Yogyakarta. Gebang is a hamlet in Panggang district, Gunug Kidul Regency, of which water supply is insufficient to meet the needs. There are 170 households with an average of 4 lives each, thus about approximately 680 people don’t have sufficient water supply. Water supply to the hamlet is constrained by the pumping ability.The neighborhood rely on overflowing raw water in high rainfall season that is channelled through pipe to the certain water tank prepared as reserves for dry season and few of them had used water from a cave. However, the pump is now broken so in a long dry season they need to buy water using tank truck. Based on the observation, this research planned to design water pump arrangement with high capacity so water can easily be channeled to the water tank and distributed to people in the neighborhood.The material absorbed in karst medium is related to each other, between organic (coliform parameter) and anorganic material (TDS parameter). The water puryfying process was conducted in laboratory and another process engaging gravity sand filter was chosen using zeolith with thickness of 40-50 cm that is able to decrease TDS from 232 – 268 ppm up to 180 ppm.
PREDICTION OF ”RATE OF PENETRATION” (ROP) ON DRILLING FORMATION ”X” PROGNOSIS WELL ”YN2” BASED ON THE REPRESENTATIVE MODELLING FROM DRILLING FORMATION ”X’’ ACTUAL WELL ’’YN1’’ FIELD ’’IP’’ Suhascaryo, KRT. Nur; Sudarmoyo, Sudarmoyo; Pratomo, Inrianto
Journal TECHNO Vol. 6 No. 1 (2020): November
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v6i1.4224

Abstract

Prediction value of the rate of penetration (ROP) in the drilling of the formation “X” well prognosis "YN2" in the field “IP” and the actual well "YN1" as a review of the selection of a representative Model-ROP at a depth of 2620 mbpl - 3000 mbpl in the "IP" field ". This study selected a representative Model-ROP from drilling the "X" formation of the actual well "YN1" in the "IP" field then predicting the rate of penetration (ROP) value in the drilling of the "X" formation of the "YN2" prognosis well in the "IP" field. ROPs used in this study include the Bingham Model (1966), Teale (2008) and Mottahari (2010). Prediction of the rate of penetration (ROP) value in the drilling of the "X" formation well "YN2" prognosis is done in stages including predicting the rate of penetration (ROP) value in the drilling of the "X" formation of the actual well "YN1" by collecting data including data on "YN1" actual well drilling includes bit records, drilling reports, well programs, and well profiles and then predicts the rate of penetration (ROP) value in the drilling of the "X" well formation "YN2" using drilling prognosis. Determine the drilling parameters needed to predict the value of the rate of penetration (ROP) has a difference in each model. In the Bingham model the parameters required include MD, WOB, RPM, T, and d-exp values. In the Teale model the required drilling parameters contain the actual MD, WOB, RPM, T, DB, and ROP values, MSE, μ and AB. In the Mottahari Model, the drilling parameters needed for MD, WOB, RPM, T, DB, actual ROP, σ, Wf (use function), G (model coefficients representing drillability), a = 0.50 and y = 1,50 is obtained from assumptions. In the Bingham Model has a coordination coefficient value (R2) = 0.9985, the Teale Model has a coordination coefficient value (R2) = 1 and the Mottahari Model has a co-coefficient value (R2) = 1. The ROP model that represents the drilling of the "X" formation Actual wells "YN1" can all be used or all Model-ROPs represent to predict the value of the penetration rate (ROP) in drilling the "X" formation prognosis of the well "YN2". Calculate the estimated penetration rate (ROP) in the drilling of the "X" formation prognosis of the well "YN2" using the Bingham, Teale and Mottahari models through the prognosis of the drilling "YN2".
ROCK MASS CLASSIFICATION FOR SEDIMENTARY ROCK MASSES IN INDONESIA COAL MINING AREAS Saptono, Singgih; Yulianto, M. Rahman; Vergiagara, Vega; Sofyan, Herry
Journal TECHNO Vol. 6 No. 1 (2020): November
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v6i1.4225

Abstract

The stability of rock slopes is important for the safety of personnel and equipment in the open pit mine. Slope instability and failure occur due to many factors such as adverse slope geometry, geological discontinuities, weak or weathered slope material due to weather influences. External loads such as high rainfall and seismicity could play an important role in slope failure. For this reason, a precise classification of rock mass is needed for the basis of determining technical policy. Rock slopes in open pit coal mining areas, especially in Indonesia, are characterized by applying various rock mass classification systems, such as Rock Mass Rating (RMR) and Geological Strength Index (GSI), because the study area comprises well exposed rock formations. In the RMR system, there are five main parameters viz. Uniaxial Compressive Strength (UCS) of rocks, Rock Quality Designation (RQD), spacing of discontinuity, discontinuity conditions, and groundwater conditions were considered. In this paper, several rock mass classification systems developed for the assessment of rock slope stability were evaluated with the condition of rock slopes in the tropics, especially Indonesian region, particularly in sedimentary rocks in the open pit coal mining area in order to get the corrected GSI equation used to characterize rock slopes based on quantitative analysis of rock mass structure and surface conditions of discontinuities.
PALEOTEMPERATURE INTERPRETATION BASED ON CALCAREOUS NANNOPLANKTON OF KEDUNG SUMBER RIVER SECTION, SOKO, BOJONEGORO, EAST JAVA Choiriah, Siti Umiyatun; Prasetyadi, Carolus; Kapid, Rubiyanto; Yudiantoro, Dwi Fitri; Syaifudin, Muhammad
Journal TECHNO Vol. 6 No. 1 (2020): November
Publisher : Universitas Pembangunan Nasional Veteran Yogayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/journal techno.v6i1.4226

Abstract

Analysis of 64 samples taken from the Kedung Sumber River section represent of Kalibeng Formation, Atasangin Member, Klitik Member, Sonde Formation, and Pucangan Formation. The detail of nannoplankton analysis showing that temperature changes influenced to the growth of nannoplankton.  Result of this study reveals that a number of 32 zones paleotemperature change. Age of the Kalibeng Formation is Late Miocene to Early Pliocene (NN10-NN13), divided into nine zones: 1/warm, 2/cold, 3/transitional, 4/warm, 5/cold, 6/warm, 7/cold, 8/cold, 9/warm zone. Atasangin Member are divided into 3 zones: 10/cold, 11/warm, 12/cold zone. Age of this member is Early Pliocene (NN13-NN14). Klitik Member is Early Pliocene to Late Pliocene (NN14-NN17), and divided to 7 zones: 13/transitional, 14/warm, 15/cold, 16/warm, 17/cold, 18/warm zone. Age of Sonde Formation is NN18-NN20 (Late Pliocene to Early Pleistocene), have into 7 zones: 19/cold, 20/warm, 21/transitional, 22/cold, 23/transitional, 24/cold, 25/transitional, 26/ cold, 27/transitional zone, 28/warm, 29/cold zone. Pucangan Formation are divided into 3 zones: 30/warm, 31/transitional, 32/cold zone. Age of this formation is Pleistocene (NN20-NN21).

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