scholarly journals Application of Linear Regression Analysis Model on Early Warning System for Inefficiency of Electricity Usage

Author(s):  
Rahman Indra Kesuma ◽  
Hafiz Budi Firmansyah ◽  
Mahardika Yoga Darmawan

Recently the Indonesian people often get inefficiency of electricity usage. On the other side, in Indonesia, the electricity is mostly produced from steam power plant, which require fuel from non-renewable natural resources. So the highness of demand and the occurrence of inefficiency the electricity usage can increase the consumption of natural resource and the air pollution. Therefore, an early warning system are proposed in this study, become one of the various solution than can increase awareness of the people in efficiency of electricity usage. This system requires the input data of electricity usage in the last 6 months, that will be formed the electricity usage trend from each user using linear regression analysis. Furthermore, this trend will predict the electricity usage for next month, this is used as the limit to give the warning from the system. The outcome from this study is the system that can provide a warning to users if their electricity usage run over the certain limits.

Electrician ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 13
Author(s):  
Rahman Indra Kesuma ◽  
Mahardika Yoga Darmawan ◽  
Hafiz Budi Firmansyah

Intisari — Saat ini masyarakat Indonesia cenderung sering melakukan pemborosan pada penggunaan listrik. Di sisi lain energi listrik di Indonesia mayoritas dihasilkan dari pembangkit listrik tenaga uap, yang membutuhkan bahan bakar dari sumber daya alam yang tidak dapat diperbaharui. Sehingga tingginya permintaan dan kejadian pemborosan dalam penggunaan listrik dapat meningkatkan konsumsi sumber daya alam serta polusi udara. Maka dari itu, dalam penelitian ini diusulkan sebuah solusi melalui sistem peringatan dini yang dapat menumbuhkan kesadaran masyarakat untuk melakukan penghematan dalam penggunaan listrik. Sistem ini membutuhkan data masukan berupa jumlah pemakaian listrik dalam 6 bulan terakhir, yang selanjutnya akan dibentuk pola penggunaan listrik dari setiap pengguna menggunakan analisis regresi linier. Selanjutnya dari pola yang diperoleh, diambil informasi pemakaian listrik perhari untuk dijadikan ambang batas pada pemberian peringatan pemborosan yang diprediksi akan terjadi. Sedangkan untuk penyebaran informasi ke pengguna tentang prediksi pemborosan, sistem ini menggunakan fasilitas SMS Gateway. Hasil penelitian ini adalah sistem yang dapat memberikan peringatan kepada pengguna jika penggunaan listriknya sudah melebihi ambang batas tertentu.Kata kunci — Sistem peringatan dini, pemborosan penggunaan listrik, analisis regresi linier, sms gateway. Abstract — Nowadays almost Indonesian people get inefficient management on the electricity usage. While,  Indonesia is still use steam power plant to produce the electricity power, which require fuel from non-renewable natural resouces. So the highness of demand and the occurrence of inefficiency from the electricity usage may increase the consumption of natural resource and the air pollution. Therefore, a solution through an early warning system are proposed in this study, that would increase awareness of the people to use the electricity power become more efficient. This system require the data of electricity usage from each customers in the last 6 months, that will be generated the electricity usage trend from each customers using linear regression analysis. Furthermore from the trend data obtained, the daily electricity usage information will be taken to use as a threshold for giving the inefficiency warnings from electricity usage that will occur from the available prediction. Moreover, in this study also use SMS Gateway for send the information of inefficiency electricity usage prediction automatically to each customers. Finally, the experimental result from this study is the system that can provide a warning to customers if their electricity usage run over the certain thresholds.Keywords— Early warning system, inefficient of electricity usage, linear regression analysis, sms gateway.


2021 ◽  
Author(s):  
Aalok Ranjan Chaurasia ◽  
Brijesh P Singh ◽  
Ravendra Singh

This paper uses concurrent linear regression analysis approach to describe the progression of COVID 19 pandemic in India during the period 15 March 2020 through 15 May 2021. The approach provides very good fit to the daily reported new confirmed cases of the disease. The paper suggests that, based on the parameter of the model, an early warning system may be developed and institutionalised to undertaken necessary measures to control the spread of the disease, thereby controlling the pandemic.


2021 ◽  
Author(s):  
Gaurab Sagar Dawadi

<p>The Early Warning System (EWS)  is recognized as a crucial mechanism for disaster risk reduction. Despite advances in technologies, the biggest shortcoming of EWS is that risk information is still failing to reach the people at risk in developing countries like Nepal and India. This presentation is based on the qualitative analysis of 90 interviews conducted for my Ph.D. thesis, in the Kosi River basin, across the Nepal-India border. Annually the Kosi River and its tributaries cause widespread flooding and inundation in Nepal and India. Recently, significant advancements have occurred in the sector of risk communication for Flood-EWS in Nepal and India. Government institutions use mobile text messages, web-based Apps, flood bulletins, and other measures to inform people about the flood. Despite the efforts, significant challenges were observed in the information outreach, especially to the women and vulnerable people living in the study area. Challenges were also identified in understanding the received text messages by flood vulnerable people, and spatially relating the information about river depth for their evacuation decision.  Recommendations were made for inclusive and people-centered EWS based on Impact based forecasting as well as on awareness-raising activities through mobile applications.</p>


2018 ◽  
Vol 229 ◽  
pp. 03015
Author(s):  
Eko Teguh Paripurno ◽  
Arif Rianto Budi Nugroho

Kelud Volcano is an active volcano in Indonesia. About 150 million meter cubic has erupted on 13 February 2013 at 22.30. People were successfully responded to the most significant eruption in history without any fatalities, by doing less than 2 hours evacuation, from 21.15 to 22.50. This research was conducted to show the success of the community in building the resilience process by applying a good system of community-based early warning. The study was conducted through documentary review and field assessment with participatory research methods, including mapping, transects, and historical studies. The result of research show that the community has four aspects of early warning system has been successfully fulfilled by communities. Those four aspects are (1) Knowledge of risk; (2) Monitoring and warning service; (3) Dissemination and communication; (4) Ability of the people to respond. Systematic data collection and risk assessment, with its pattern and tendency factors, ensured that disaster and vulnerability are well-known. Monitoring parameter to create accurate and timely pre-estimation has been ensured by disaster monitoring and early warning service. Communicating information and early warning ensured that the warning could be received by everyone that affected by disaster, risk, and its warning can be understood and useful. Establishing the people’s responsibility to ensure the response must be renewed, ability and local knowledge can be utilized, and people are ready to response warning. Simulation and training activities were implemented by the people within the disaster-prone area. Finally, the powerfulness of community preparedness can manage the tremendous level of a volcano eruption.


2020 ◽  
Vol 7 (1) ◽  
pp. 24-32
Author(s):  
Iman Sidik Nusannas

The study was to determine the effect of Store Image and Service Quality on Consumer Buying Interest at a famous bakery at Purwakarta. The datas taken from respondents that was questionnaired to 96 respondents with Non Probability Sampling techniques. The research method used is descriptive method which is a method that is done by collecting, presenting and analyzing data so as to provide a clear enough picture of the object under study. This study uses a multiple linear regression analysis model with the help of IBM SPSS 21 program. The results of this study indicate that the variables of Store Image and Service Quality have a positive and significant effect on Consumer Interest in a famous bakery at  Purwakarta.


2019 ◽  
Vol 7 (3) ◽  
pp. 29-38
Author(s):  
M Sinurat

 The people in Samosir believe that pigs are livestock that bring many benefits. That is why many people raise pigs. At this time there is a downward trend in pig population.This research was conducted at the people's farm in Simanindo District, Samosir Regency.   This study was conducted from May until July 2019 and aimed to investigate the factors that affect the rate of decline in the pig population. The result of research will show dominant factors that causes the rate of decline in the pig population and improvement could be conducted to prevent pig population decline trend. The method used is multiple linear regression analysis with the variable of animal feed limitations, farmer experience, long time raising, local environmental customs, religious holiday production. This research was conducted by asking the farmer directly and giving a randomly selected questionnaire. In total there were 84 pig farmers in 4 villages in each district. The results of this study indicated that the limitations of feed, long time raising, environmental customs around and religious day have a very significant influence on the decline in pig population in Simanindo District Samosir Regency.


2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Hareastoma Hareastoma

This study aims to analyze the patterns of Muslim consumption behaviors in the Ramadhan month around Jambi. A multiple linear regression analysis model is used to see the factors influencing the consumption behaviors. The finding shows that cultural and religiosity variables are the dominant factors influencing the pattern of Muslim consumption behaviors in the Ramadhan month. From the statistic results of SPSS verse 22, it was found the coefficient of determination (adjusted R2) obtained at 0.164. (16.4%). It reflects that 16.4% of consumption patterns influencing by the Cultural, Social, Religiusity and Psychology variables while the remaining 83.6% consumption patterns are influenced by unnecessary variables in this research.


2017 ◽  
Vol 24 (2) ◽  
pp. 124-134
Author(s):  
Fathoni Fathoni

ABSTRACT  Indonesia is a sovereign state. The word here is not only sovereign denotatively meaning that the state government does not have power under the jurisdiction of another country. State government meant for the welfare of the people. When it is associated with free competition among countries, it can be more about the role of the state in protecting its citizens in order to avoid what is, according to Hobbes as "homo homini lupus". This is the challenge of the welfare state, which the state must not fail to welfare. The existence of cases of state failure to provide protection for its citizens, especially in free trade has become a scourge for the people. People who are not able to compete in free trade, in the end just be a spectator and does not play a role in the AEC 2015. State efforts to protect the people by improving competitiveness, increasing export volume, prioritizing the use of domestic goods / services. In the area of regulation, needs to set rules on security measures and monitoring domestic products to circulate goods and services, as well as by applying Early Warning System against the possibility of import surges.  Keywords: sovereign, state welfare, competitiveness, AEC 2015 ABSTRAKIndonesia adalah negara yang berdaulat. Kata berdaulat disini tidak saja bermakna denotatif bahwa negara memiliki kekuasaan pemerintahan yang tidak tunduk pada kekuasaan negara lain. Penyelenggaraan negara dimaksudkan untuk mewujudkan kesejahteraan rakyat. Bila dikaitkan dengan persaingan dengan negara lain, maka dapat ditarik lagi tentang peran negara dalam melindungi warganya agar tidak terjadi apa yang menurut Hobbes sebagai “homo homini lupus”. Inilah tantangan negara kesejahteraan tersebut, dimana negara tidak boleh gagal. Adanya kasus-kasus tentang gagalnya negara dalam memberikan perlindungan bagi warganya, terutama dalam perdagangan bebas telah menjadi momok bagi rakyat. Rakyat yang tidak mampu bersaing dalam perdagangan bebas, pada akhirnya hanya menjadi penonton dan tidak memainkan peranan dalam MEA 2015.Upaya negara dalam melindungi rakyat antara lain dengan meningkatkan daya saing, meningkatkan volume ekspor, mengutamakan penggunaan barang/ jasa dalam negeri. Di bidang regulasi, perlu ditetapkan peraturan tentang tindakan pengamanan produk dalam negeri dan pengawasan terhadap barang beredar dan jasa, serta dengan menerapkan Early Warning System terhadap kemungkinan terjadinya lonjakan impor. Kata kunci: berdaulat, negara kesejahteraan, daya saing, MEA 2015


Author(s):  
Deffi Ayu Puspito Sari ◽  
Malahayati Malahayati ◽  
Tirton Nefianto ◽  
IDK Kertawidana

<p><em>Improvement is needed in the early warning system and information services of Indonesia Agency for Meteorology, Climatology and Geophysics (Badan Meteorologi, Klimatologi dan Geofisika-BMKG) in term of speed, and accessibility by rural communities. This paper analyzes the factors related to the motivation and competency of BMKG employees’ performance in giving information services related to early warning system. The aim is to determine the effect of motivation and competency partially and simultaneously toward BMKG’s employees performance. Using quantitative method with proportionate stratified random sampling technique, total 80 respondents were interviewed among 389 population of BMKG’s employees who work on Deputy of Meteorology, Climatology, and Geophysics. The result indicated that the motivation and competency have significant impact to the BMKG’s employees performance. R<sup>2</sup> is 0.832 which means that the motivation and competency simultaneously have significant impact to employees performance about 83.2% while the remaining 16.8% influenced by others variable outside the variables studied. The data analyzed using double linear regression in SPSS version 24,  the equation regression obtained is: Y= 9,429 + 0,408X<sub>1</sub> + 0,822X<sub>2</sub>, indicating that effect of motivation factor is lower than competency factor toward employees performance. Therefore BMKG Head Office needs to improve the competency of employees more than motivate them in order to improve its performance on information services and disaster early warning.</em></p>


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