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GEMA TEKNOLOGI

gema_teknologi
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Published by Universitas Diponegoro

ISSN : 08520232 EISSN : 2656582X DOI : -

Core Subject : Science,

Computer Science & IT

Gema Teknologi Journal (pISSN : 0852-0232, eISSN : 2656-582X) is an open access journal published by Vocational School, Diponegoro University, Indonesia. Gema Teknologi publishes articles from various engineering disciplines (the results of original scientific research or new scientific studies of literature). Editor receives articles both in English and Indonesian. Gema Teknologi Journal is published 2 (two) times a year, on April and October.

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Articles 6 Documents

Search results for , issue "Vol 20, No 3 (2019): April 2019 - October 2019" : 6 Documents clear

PENENTUAN FAKTOR BERPENGARUH PADA EKSTRAKSI RIMPANG JAHE MENGGUNAKAN EXTRAKTOR BERPENGADUK Anggista, Giovani; Pangestu, Ilyas Teguh; Handayani, Dwi; Yulianto, M. Endy; Astuti, Septi Kusuma
Gema Teknologi Vol 20, No 3 (2019): April 2019 - October 2019
Publisher : Vocational School Diponegoro University

Giovani Anggista , Ilyas Teguh Pangestu, Dwi Handayani, M. Endy Yulianto, Septi Kusuma, in this paper explain that the main part of ginger used is rhizome. Processed ginger products that can be developed are ginger oleoresin which contains components of gingerol, shogaol, zingerone, resin and essential oils. Ginger oleoresin content ranges from 3.2 - 9.5%, while the content of gingerol in oleoresin is between 14-25% and shogaol between oleoresin. 2.8-7.0%. Considering the benefits of high-antioxidant ginger which functions as an anti-inflammatory and prevents tumor growth, it is necessary to extract the ginger rhizome. The purpose of this study was to determine the factors that most influence the extraction of gingerol from the ginger rhizome using a stirred extractor and relatively good conditions. Experiments were carried out with various solvents, pH and temperature. Solvents 4 liters and 8 liters, pH 4 and 6 and temperatures 60oC and 100oC. The Gingerol content is measured by a VIS spectrophotometer. The most influential factor in extraction of ginger was determined by experimental design 23. The analysis of the results showed that for extracting 500 grams of powdered ginger using water as a solvent, the most influential factor was pH, in this case, at pH 6 containing 4% ginger.

PENGAMBILAN KEPUTUSAN UNTUK KUALITAS AIR PADA TAMBAK UDANG MENGGUNAKAN FUZZY LOGIC CONTROL Dwisaputra, Indra; Rolastin, Boy; Irwan, Irwan; Sateria, Angga
Gema Teknologi Vol 20, No 3 (2019): April 2019 - October 2019
Publisher : Vocational School Diponegoro University

Indra Dwisaputra, Boy Rolastin, Irwan, Angga Satera, in this paper explain that one commodity that can be used as a superior post-mining area such as Bangka Belitung is shrimp ponds. Touch of technology is needed because of high rainfall in this area so that changes in temperature, humidity, salinity and pH are more dynamic. Then we need a control to determine the water quality in shrimp ponds to avoid crop failure. This research was conducted by means of simulations to make it easier to analyze the results before applying. Fuzzy logic control (FLC) method is used for the water quality decision making system. By utilizing 3 input variables such as temperature, salinity and pH of water and output is an index of water quality from a scale of 0-100. The Mamdani method is applied to FLC with 27 fuzzy rules. The simulation results show that a change in one of the input variables can cause water quality to drop to 70. When there are changes in the two input variables, it can reduce water quality by 25.1. FLC can work well in decision making for water quality in shrimp culture.

SIMULASI DAN MONITORING KOORDINASI RECLOSER DAN SSO PADA JARINGAN DISTRIBUSI 20 KV PT. PLN (PERSERO) AREA SEMARANG PENYULANG KALISARI 07 BERBASIS ARDUINO MEGA 2560 DAN VT SCADA 11.2 Zuraida, Hanif; Winarno, Heru
Gema Teknologi Vol 20, No 3 (2019): April 2019 - October 2019
Publisher : Vocational School Diponegoro University

Â Hanif Zuraida, Heru Winarno, in this article describes the simulation of protection equipment coordination systems, especially in the recloser and sectionalizer areas. Coordination between protective equipment to improve the network reliability system so that in the event of a disturbance, the area affected by the disturbance does not spread widely. The simulation tool is made using OMRON LY2N 12V relay, ULN2803 relay driver circuit, ZMCT103C current sensor, voltage divider voltage sensor, pull down, 12V 6W lamp as a load and several resistors with different resistivity values as interference. Arduino Mega 2560 is used as the central controller for the entire circuit. After the experiment, the results obtained are when the normal network current at the recloser is 0.86 A and the current at the LBS SSO1 is 0.43. The recloser and LBS SSO1 coordination lies in zone 2 and 3 disturbances. When simulated zone 2 interference, the recloser current rises to 1.28 A, causing reclose / trip to lock out recloser. When the recloser feels a fault current in zone 3 of 1.06 A and LBS SSO1 senses a current of 0.64 A. The recloser as protective equipment will open first within 1000 ms after sensing the disturbance. When the recloser opens, the voltage on the SSO will be 0 volts and the SSO will open within 1000 ms after the current and disturbance requirements are met. Then the recloser will close again after 2000 ms from the open condition.

SIMULASI PELIMPAHAN BEBAN PMT OUTGOING PWI 06 SAAT TERJADI OVERLOAD SHEDDING PADA TRAFO INCOMING 03 GARDU INDUK PURWODADI DENGAN MONITORING VT SCADA BERBASIS ARDUINO MEGA 2560 Rizkifadhla, Reza; Winarno, Heru
Gema Teknologi Vol 20, No 3 (2019): April 2019 - October 2019
Publisher : Vocational School Diponegoro University

Reza Rizkifadhla, Heru Winarno, in this article explains that overload shedding in incoming transformer occurs due to an increase in load current that exceeds the capacity of the transformer. If overload shedding is not handled, it will cause damage to the transformer, and even cause incoming trip feeders and a very wide blackout effect. Relay overload shedding mounted on incoming feeders works to anticipate overload shedding by deliberately releasing outgoing feeders gradually to reduce the load. This study aims to provide a simulation of the conditions of incoming feeders during normal times, during overload shedding and handling of outgoing feeders deliberately released by carrying out load maneuvers to other feeders with different incoming transformers. Maneuvers are carried out to maintain the reliability of the continuity of electricity distribution. In this study one simulation tool was designed. The design of this tool uses a relay and Arduino Mega 2560 as a control center. Arduino Mega 2560 reads the current using the ZMCT 103C sensor. The simulation is based on the overload shedding event that has occurred in Purwodadi Substation. As for controlling switching equipment and monitoring current and voltage is done using HMI with VT Scada software. In the experiment, 3 incoming normal currents were 2.2 A with a load of 5 12 VAC 5W lamps. Simulated maneuvering error, the load on incoming 3 increased to 2.60 A. This situation is considered to have reached the condition of overload shedding, relay PMT C trip to reduce the load. Incoming 3 returns back to normal, namely 1.68 A. Loads on PMT C that are extinguished are maneuvered to PMT E or PMT F which have different incoming.

KINERJA ORTHOGONAL FREQUENCY DIVISION MULTIPLE ACCESS (OFDMA) PADA TEKNOLOGI RADIO OVER FIBER (ROF) Rakhmania, Amalia Eka; Pramono, Sholeh Hadi; Kurniawan, Dwi Fadila
Gema Teknologi Vol 20, No 3 (2019): April 2019 - October 2019
Publisher : Vocational School Diponegoro University

Amalia Eka Rakhmania, Sholeh Hadi Pramono, Dwi Fadila Kurniawan, in this paper explain that radio over Fiber (RoF) is a technology that integrates wireless and wireline transmission system to transmit radio signal through optical fibre cable. This paper evaluates the performance of Orthogonal Frequency Division Multiple Access (OFDMA) implemented in RoF system for mobile WiMAX network. RoF channel model includes both optical fiber with Relative Intensity Noise, shot noise, thermal noise, and chromatic dispersion, and also wireless channel with Additive White Gaussian Noise (AWGN). Through simulation, signal to noise ratio (SNR), channel capacity, bit rate, and bit error rate (BER) with the influence of optical fiber length and wavelength. Result shows that optical fiber length is proportional to SNR, channel capacity, and bit rate but inversely proportional to BER. 1550 nm wavelength has better channel capacity but lesser bit rate than 1310 nm.

SIMULASI PELIMPAHAN BEBAN SISTEM PMT KOPEL TO KOPEL PADA SAAT PEMELIHARAAN TRAFO BERBASIS ARDUINO MEGA 2560 MENGGUNAKAN VT SCADA 11.2 Samputro, Muhammad Rizki; Subari, Arkhan
Gema Teknologi Vol 20, No 3 (2019): April 2019 - October 2019
Publisher : Vocational School Diponegoro University

Mochammad Rizki Samputro, Arkhan Subari in this paper explains that the need for electricity in everyday life demands PT. PLN to always maintain the distribution of electrical energy to customers. Therefore, it is necessary to use a strategy to prevent blackouts if the transformer is being maintained, that is by maneuvering the load through the network or by using a 20 KV coupling system. The 20 KV Coupling System consists of PMT Kopel Transformer 1 and PMT Kopel Transformer 2 or often called PMT Kopel to Kopel. In this research, a Kopel to Kopel PMT simulation tool is used to transfer transformer loads during maintenance using a LY2N DPDT 12 V relay, ZMCT103C current transformer sensor, voltage sensor, tap changer and use Arduino Mega 2560 as a delivery choice change. After the experiment, the total current size of transformer 1 and transformer 2 exceeds the capacity of transformer which is 4.29 A and the voltage difference is 0.71 V (5.9 %). Therefore it is necessary to adjust the current and voltage regulation so that it becomes 2.82 A and 0.06 V (0.5 %). After that the transfer of load Transformer 2 to Transformer 1 using PMT Kopel to Kopel can be done. The load transfer is done by entering the PMT Kopel 1 and PMT Kopel 2 simultaneously and the Incoming 2 PMT is released. For the normalization, PMT Incoming 2 is entered and PMT Kopel 1 and Kopel 2 are released simultaneously.

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