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Science and Technology Indonesia

JSTI
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Published by Universitas Sriwijaya

ISSN : 25804405 EISSN : 25804391 DOI : -

Core Subject : Science, Social, Engineering,

Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Environmental Science Materials Science & Nanotechnology Physics

An international Peer-review journal in the field of science and technology published by The Indonesian Science and Technology Society. Science and Technology Indonesia is a member of Crossref with DOI prefix number: 10.26554/sti. Science and Technology Indonesia publishes quarterly (January, April, July, October). Science and Technology Indonesia is an international scholarly journal on the field of science and technology aimed to publish a high-quality scientific paper including original research papers, reviews, short communication, and technical notes. This journal welcomes the submission of articles that covers a typical subject of natural science and technology such as: > Chemistry > Biology > Physics > Marine Science > Pharmacy > Chemical Engineering > Environmental Science and Engineering > Computational Engineering > Biotechnology Journal Commencement: October 2016

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Articles 6 Documents

Search results for , issue "Vol. 5 No. 2 (2020): April" : 6 Documents clear

Analysis of Ogan Ilir Regency's Kelakar River Runoff Discharge in Micro Hydro Power Plant (PLMTH) Planning Renny Citra Ramadhani; Muhammad Yerizam; Indrayani Indrayani
Science and Technology Indonesia Vol. 5 No. 2 (2020): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Micro hydro power plant (PLTMH) is an alternative source of electrical energy for the community where by using this PLTMH the community can utilize the existing river flow as electricity generation. The country of Indonesia has many rivers and creeks that can be used optimally in producing alternative electricity. Kelakar River, located in Ogan Ilir Regency has the potential to be developed as a Micro Hydro Power Plant (PLTMH) that can be used to supply electricity in the region around the Ogan River. Data analysis includes: catchman area analysis, rainfall analysis, calculation of rainfall intensity plan, calculation of runoff discharge, and analysis of river flow rates. Based on the analysis that has been done, the Kelekar river runoff discharge is QRmax of 211.109 m3/second and QRmin of 15.732 m3/second. From this result, the selection of turbines to be used in PLTMH planning is Propeller Type turbines.

The Effect of Electrolyte Concentration on The Sensitivity of Low-Temperature Sensor Performance of Cu/Ni Film Danurdara Setiamukti; Azmi Khusnani; Moh. Toifur
Science and Technology Indonesia Vol. 5 No. 2 (2020): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Increased export-import activities on fresh food commodities in the international market led to the idea of developing new technologies in the form of cryogenic freezers using liquid nitrogen (LN2). Along with the development of preservation methods using liquid nitrogen media, we need a tool that is able to detect changes in low temperatures in LN2 storage flasks that have economic value. Therefore the purpose of this research is to make a low-temperature sensor with copper and nickel material that has an economical price. The Cu/Ni film sensor is made with an electroplating method assisted by an external magnetic field of 200 G which is installed parallel to the deposition current. The Cu/Ni film was developed by varying the concentration of the electrolyte solution. The electrolyte solution used in the deposition process consisted of a mixture of H3BO3, NiSO4, NiCl2, and H2O. Furthermore, the Cu/Ni film that was made was tested on the LN2 medium to measure its sensitivity value in response to changes in temperature. The results showed that the Cu/Ni film sensor could detect changes in the low temperature in LN2. The results of data analysis showed that the curve relationship between voltage and temperature in the sample with the 2nd concentration (C2) had the highest relationship to influence each other between the voltage and temperature variables, and the sample had the highest sensitivity value compared to the others.

Selfish User Network Optimization With Celluler Network Traffic Management Model Using Lingo 13.0 Indrawati Indrawati; Fitri Maya Puspita; Bela Olivia Mareta Silaen; Evi Yuliza; Oki Dwipurwani
Science and Technology Indonesia Vol. 5 No. 2 (2020): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

This paper discusses the management of traffic between cloud-based cellular networks. Welldesigned traffic management will allow network operators to draw maximum value from availablecapacity where cloud-based traffic management is called the UE (User Equipment). Runningtraffic management on the side of the UE allows decision making in the UE. Users can reach theQoS level to increase the speed of data received and communication latency or reduce theirpower consumption. Each UE maximizes their utility function, which is modelled based on theQoS parameters, selfishly, at the network side. So, the attempt is to maximize fairness among alluses’ flows by designing new improved model of traffic management cloud based of pricinginternet involving the energy consumption. Also in this paper parameters β as UE parameter valueand α as range value parameter are used. The results show that the improved model is betterthan the original one proposed by previous research in terms of maximum value reached althoughit takes more time for improved model to complete the iterations.

Malachite Green Removal by Zn/Al-citrate LDHs in Aqueous Solution Nurlisa Hidayati; Risfidian Mohadi; Elfita Elfita; Aldes Lesbani
Science and Technology Indonesia Vol. 5 No. 2 (2020): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

A Hidden Markov Model for Forecasting Rainfall Data Availability at the Weather Station in West Sumatra Rahmawati Ramadhan; Dodi Devianto
Science and Technology Indonesia Vol. 5 No. 2 (2020): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Indonesia is a maritime continent in Southeast Asian, laying between Indian Ocean and Pacific Ocean. This position intensely affects the level of rainfall in Indonesia, especially West Sumatra. The availability of rainfall data can form a Markov chain which its state is not able to be observed directly (hidden), is called the Hidden Markov Model (HMM). The purposes of this research are to predict the hidden state of the availability of rainfall data using decoding problems and to find the best state sequence (optimal) by using Viterbi Algorithm, and also to predict probability for the availability of rainfall data in the future by using the Baum Welch Algorithm in the Hidden Markov Model. This research uses secondary data with a period of one day from the availability of rainfall data at the Minangkabau Meteorological Station, Padang Pariaman Climatology Station, and Silaing Bawah Geophysics Station from January 2018 to July 2019. The results of the prediction show that the Hidden Markov Model can be used to predict the probability of rainfall data availability. The results for the availability of the highest rainfall data for one day ahead is at the Padang Pariaman Climatology Station, with a probability of 0.36, followed by Minangkabau Meteorological Station is 0.35, and Silaing Bawah Geophysics station is 0.29. The result has shown for the next one day period the probability of rainfall data available from the three stations will be available following the Viterbi algorithm.

Cement Compressive Strength Control Using CUSUM and MCUSUM Control Chart Surya Puspita Sari; Ferra Yanuar; Dodi Devianto
Science and Technology Indonesia Vol. 5 No. 2 (2020): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Compressive strength is one of the test factors used to determine whether cement production is in a controlled state or not. Portland type composite cement or PCC is the cement that is widely used in infrastructure development. The Cement of 3-days compressive strength, 7-days compressive strength, and 28-days compressive strength are the variables that will be controlled in this study. The normal distribution test and correlation test show that the data on each variable is normally distributed, and each variable has a strong correlation. Univariate cement control using the cumulative sum control chart (CUSUM) and multivariate control using a multivariate cumulative sum (MCUSUM) control chart is performed to obtain the best control results. Correlated variables show that control using a multivariate control chart results in fewer outs of control observations compared to a univariate control chart. This explains that the MCUSUM control chart is more sensitive than the CUSUM control chart in controlling observations of data out of control.

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Sumatera selatan

INDONESIA