scholarly journals Analisis Air Buangan Kantin di Kampus II Universitas Bhayangkara Jakarta Raya

2020 ◽  
Vol 2 (1) ◽  
pp. 13-24
Author(s):  
Lisa Adhani ◽  
Wahyu Kartika ◽  
Dovina Navanti
Keyword(s):  
Waste Water ◽  
Liquid Waste ◽  
Quality Standard ◽  
Absolute Deviation ◽  
Double Exponential ◽  
Wastewater Quality ◽  
Double Exponential Smoothing ◽  
Exponential Smoothing Method ◽  
Potential Pollution

Canteen is a producer of domestic liquid waste that has the potential to cause pollution. Likewise with the student canteen, it has the potential to produce waste that causes environmental pollution if it is not treated properly. The use of Montecarlo software in this study is to support quantitative analysis in predicting potential pollution from Ubhara canteen waste with Crystall ball prediction. The results of laboratory analysis in the form COD, BOD dan TSS, showed that the quality of the canteen waste water did not meet the requirements for wastewater quality standard based on Ministry of Environment Decree No. 112 of 2003. Supported by the results of CB Predictor simulations showing the potential of pollution of the Ubhara canteen waste water to the environment continues to increase significantly, also seen from the Double Exponential Smoothing Method, producing MAD (Mean Absolute Deviation) 170.82, Theil's U 0.9951, and Confidence Interval Lower 5% and Upper 99.5%.

scholarly journals PENURUNAN KADAR BESI DAN KROMIUM LIMBAH CAIR LABORATORIUM TEKNIK LINGKUNGAN DENGAN PENGENCERAN, KOAGULASI DAN ADSOBSI

2020 ◽  
Vol 14 (1) ◽  
pp. 74
Author(s):  
Indah Nurhayati ◽  
Sela Vigiani ◽  
Dian Majid
Keyword(s):  
Waste Water ◽  
Treatment Process ◽  
Adsorption Process ◽  
Operating Time ◽  
Quality Standards ◽  
Quality Standard ◽  
Total Chromium ◽  
Wastewater Quality ◽  
Environment Regulation

The purposes of this study is to examine the effect of flowrate and operating time on decreasing Fe and Cr, assessing the quality of wastewater after being treated with dilution, neutralization, coagulation and adsorption especially for the parameters Cr, Fe and pH. The variables in this study are the flow of waste water that is 100 mL / min and 140 mL / min, operating time for 60 minutes. The adsorption process is carried out continuously with down flow. Adsorbents in the form of activated zeolite and activated carbon are arranged in stages in a PVC reactor. The results of this study are 100 ml/min discharge can reduce total Fe by 99.9% from 1,767 mg/L to 0,971 mg/L and total chromium 99.2% from 48.7 mg/L to 0,39 mg/L. 140 ml/minute discharge can reduce total Fe 99.9% from 1,767 mg/L to 0.99 mg/L and total chrome 99% from 48.7 mg/L to 0.45 mg/L. Waste water quality, especially for the parameters of Cr, Fe and pH, after the treatment process have met the quality standard in accordance with Minister of Environment Regulation No. 5 of 2014 concerning Wastewater Quality Standards.

scholarly journals On-the-Fly Prediction of Orbit Corrections for RTK Positioning

2006 ◽  
Vol 59 (2) ◽  
pp. 321-334 ◽  
Author(s):  
Ahmed El-Mowafy
Keyword(s):  
Equations Of Motion ◽  
Estimation Accuracy ◽  
Double Exponential ◽  
Double Exponential Smoothing ◽  
Orbital Correction ◽  
Exponential Smoothing Method ◽  
The Impact ◽  
Multiple Reference ◽  
Selection Of ◽  
Better Than

In this study, a method is presented to maintain real-time positioning at the decimetre-level accuracy during breaks in reception of the measurement corrections from multiple reference stations. The method is implemented at the rover by estimating prediction coefficients of the corrections during normal RTK positioning, and uses these coefficients to predict the corrections when reception of the corrections is temporarily lost. The paper focuses on one segment of this method, the on-the-fly prediction of orbital corrections. Frequently, only a few minutes of data representing short orbit ‘arcs’ are available to the user before losing radio transmission. Thus, it would be hard for the rover to predict the satellite positions using equations of motion. An alternative method is proposed. In this method, GPS orbital corrections are predicted as a time series and are added to the initial positions computed from the broadcast ephemeris to compute relatively accurate satellite positions. Different prediction approaches were investigated. Results show that the double exponential smoothing method and Winters' method can be successfully applied. The latter, however, has a better performance. The impact of the data length used for estimation of the prediction coefficients and the selection of seasonal lengths in Winters' method were investigated and some values were recommended. In general, the method can give orbital correction estimation accuracy of less than 5 cm after 15 minutes of prediction. This will result in a positioning accuracy better than 5 cm.

scholarly journals Forecasting Of Criminality Problems Using Double Exponential Smoothing Method

Academia Open ◽  
2021 ◽  
Vol 4 ◽  
Author(s):  
Fatikhul Ikhsan ◽  
Sumarno
Keyword(s):  
Social Action ◽  
Police Officers ◽  
Exponential Smoothing ◽  
Smoothing Method ◽  
Legal Norms ◽  
The Public ◽  
Police Station ◽  
Double Exponential ◽  
Double Exponential Smoothing ◽  
Exponential Smoothing Method

Crime is a form of social action that violates legal norms relating to acts of seizing property rights of others, disturbing public order and peace, and killing one or a group of people. This has always been a concern for residents in various places in the Ngoro sub-district, therefore this information system was created to help police officers to find out where crimes have occurred. This information sfystem was created to predict the area in Ngoro sub-district using the Double Exponential Smoothing method. So that this system can predict which areas in the next month there will be no crime, and can assist the public in reporting the occurrence of criminal acts without having to go to the police station first. The Double Exponential Smoothing method was chosen by the author because this method can be used. The data used is data on theft of crime from 2017 – 2019. The results of forecasting in one village in Ngoro sub-district such as Manduro are 0.07426431198 if rounded up to 0.1 which is categorized as low crime and has a MAPE value of 7.94%. Based on the MAPE value of the forecasting results, it can be concluded that a good constant is between 0.1 – 0.3.

scholarly journals Komparasi Metode Peramalan Jumlah Permintaan Kamar Hotel

2019 ◽  
Vol 9 (2) ◽  
Author(s):  
Rendra Gustriansyah ◽  
Wilza Nadia ◽  
Mitha Sofiana
Keyword(s):  
Moving Average ◽  
Exponential Smoothing ◽  
Standard Type ◽  
The Public ◽  
Forecasting Methods ◽  
Forecasting Method ◽  
Double Exponential ◽  
Double Exponential Smoothing ◽  
Exponential Smoothing Method ◽  
Single Exponential

<p class="SammaryHeader" align="center"><strong><em>Abstract</em></strong></p><p><em>Hotel is  a type of accommodation that uses most or all of the buildings to provide lodging, dining and drinking services, and other services for the public, which are managed commercially so that each hotel will strive to optimize its functions in order to obtain maximum profits. One such effort is to have the ability to forecast the number of requests for hotel rooms in the coming period. Therefore, this study aims to forecast the number of requests for hotel rooms in the future by using five forecasting methods, namely linear regression, single moving average, double moving average, single exponential smoothing, and double exponential smoothing, as well as to compare forecasting results with these five methods so that the best forecasting method is obtained. The data used in this study is data on the number of requests for standard type rooms from January to November in 2018, which were obtained from the Bestskip hotel in Palembang. The results showed that the single exponential smoothing method was the best forecasting method for data patterns as in this study because it produced the smallest MAPE value of 41.2%.</em></p><p><strong><em>Keywords</em></strong><em>: forecasting, linier regression, moving average, exponential smoothing.</em></p><p align="center"><strong><em>Abstrak</em></strong></p><p><em>Hotel merupakan jenis akomodasi yang mempergunakan sebagian besar atau seluruh bangunan untuk menyediakan jasa penginapan, makan dan minum serta jasa lainnya bagi umum, yang dikelola secara komersial, sehingga setiap hotel akan berupaya untuk mengoptimalkan fungsinya agar memperoleh keuntungan maksimum. Salah satu upaya tersebut adalah memiliki kemampuan untuk meramalkan jumlah permintaan terhadap kamar hotel pada periode mendatang. Oleh karena itu, penelitian ini bertujuan untuk meramalkan jumlah permintaan terhadap kamar hotel di  masa mendatang dengan menggunakan lima metode peramalan, yaitu regresi linier, single moving average, double moving average, single exponential smoothing, dan double exponential smoothing, serta untuk mengetahui perbandingan hasil peramalan dengan kelima metode tersebut sehingga diperoleh metode peramalan terbaik. Adapun data yang digunakan dalam penelitian ini merupakan data jumlah permintaan kamar tipe standar dari bulan Januari hingga November tahun 2018, yang diperoleh dari hotel Bestskip Palembang. Hasil penelitian menunjukkan bahwa metode single exponential smoothing merupakan metode peramalan terbaik untuk pola data seperti pada penelitian ini karena menghasilkan nilai MAPE paling kecil sebesar 41.2%.</em></p><strong><em>Kata kunci</em></strong><em>: peramalan, regeresi linier, moving average, exponential smoothing.</em>

scholarly journals Penerapan Metode DESB dan EOQ untuk Prediksi Penjualan dan Persediaan Mobil

2021 ◽  
Vol 3 (1) ◽  
pp. 29-43
Author(s):  
Sri Rahayu Tangahu ◽  
Moh. Hidayat Koniyo
Keyword(s):  
Black Box ◽  
Economic Order Quantity ◽  
Mean Absolute Deviation ◽  
Order Quantity ◽  
Inventory Planning ◽  
Absolute Deviation ◽  
Double Exponential ◽  
Car Sales ◽  
Double Exponential Smoothing ◽  
White Box Testing

PT. MG merupakan salah satu dealer yang bergerak dalam bidang penjualan mobil. Namun masih mengalami masalah dalam proses persediaannya sehingga membuat proses penjualan juga terganggu. Untuk mengatasi permasalahan yang dihadapi, PT. MG membutuhkan sebuah sistem peramalan untuk memperkirakan penjualan dan persediaan mobil. Tujuannya agar perusahaan dapat meramalkan penjualan mobil dan menentukan persediaan yang optimal pada periode yang akan datang. Sistem yang dibangun berbasis web dengan metode peramalan Double Exponential Smoothing dari Brown dengan nilai alpha α=0.5 yang mempunyai kesalahan peramalan terkecil menurut indikator MAD (Mean Absolute Deviation), sedangkan untuk optimalisasis perencanaan persediaan, digunakan metode Economic Order Quantity (EOQ) untuk perencanaan persediaan yang optimal. Adapun data yang digunakan dalam penelitian ini adalah data historis penjualan selama 2 tahun terakhir. Sistem diuji menggunakan black-box dan white-box testing. Hasil dari penelitian ini menunjukan sistem berjalan sesuai dengan yang diinginkan dan dapat mempermudah PT. MG dalam memperkirakan penjualan dan perencanaan persediaan pada periode yang akan datang. PT. MG as a car sales dealer has problems in the inventory process, that may disrupt the sales process. To solve the problems, PT. MG needs a forecasting system to estimate car sales and supplies. The goal of this system is that the company can predict car sales and determine the optimal supply for the upcoming period. The system was built as a web application, and use the Double Exponential Smoothing forecasting method from Brown with an alpha value of α=0.5 which has the smallest forecast error according to the MAD (Mean Absolute Deviation) indicator. To optimize inventory planning, we use Economic Order Quantity (EOQ) method to optimize supplies planning. The data used in this study are historical sales data for the last 2 years. The system was tested using black-box and white-box testing. The results of this study indicate that the system is fulfilling its requirements and are useful for predicting PT. MG sales and inventory planning in the coming period.

scholarly journals The use of silica sand, zeolite and active charcoal to reduce BOD, COD, and TSS of laundry waste water as a biology learning resources

2017 ◽  
Vol 3 (3) ◽  
pp. 202
Author(s):  
Moch Assiddieq ◽  
Satya Darmayani ◽  
Wirapati Kudonowarso
Keyword(s):  
Waste Water ◽  
Activated Charcoal ◽  
Aquatic Environment ◽  
Liquid Waste ◽  
Quality Standard ◽  
Filter Medium ◽  
Silica Sand ◽  
Filter Media ◽  
Biology Learning ◽  
High Concentrations

The aquatic environment contaminated with detergent waste in high concentrations can endanger the lives human and biota in the water. This study aimed to determine the decrease of BOD, COD and TSS content of laundry liquid waste by using filter media of silica sand, zeolite, and activated charcoal. Filter medium 1a can reduce BOD level from 98.6 mg/L to 58.80 mg/L (40.36%), while medium 1b can decrease BOD level to 21.20 mg/L (78.48%). It showed that media 1a had not fulfilled the quality standard of BOD of waste water that is 50 mg/L, while media 1b had fulfilled the standard of quality. Filter media 1a can decrease COD level from 210 mg/L to 78.80 mg/L (62.47%), whereas medium 1b can decrease COD to 25.60 mg/L (87.80%). This showed that media 1a and media 1b had met the quality standard of COD of waste water that is 100 mg/L. Filter media 1a can decrease TSS level from 465 mg/L to 122.5 mg/L (73.65%), whereas medium 1b can decrease TSS level to 52.3 mg/L (88.75%). This showed that media 1a and media 1b had met the quality standard of TSS of waste water that is 150 mg/L.

scholarly journals Implementasi Sistem Informasi Prediksi Hasil Penjualan Perangkat Komputer Menggunakan Metode Double Exponential Smoothing

2020 ◽  
Vol 4 (3) ◽  
pp. 806
Author(s):  
Nurul Adha Oktarini Saputri ◽  
Nurul Huda
Keyword(s):  
Exponential Smoothing ◽  
Sales Forecast ◽  
Double Exponential ◽  
Sales Prediction ◽  
The Future ◽  
Time Series Method ◽  
Past Data ◽  
Double Exponential Smoothing ◽  
The Right ◽  
Exponential Smoothing Method

Prediction is an activity to predict a situation that will occur in the future by passing tests in the past. One way to get sales information in the future is to make sales forecasting. This sales forecast uses the Double Exponential Smoothing method because this method predicts by smoothing or smoothing past data by taking an average of several years to estimate the value of the coming year and this method uses the time series method. The results of this study are the right sales prediction information system, in order to determine the existing inventory of goods in accordance with the demand (demand) so that there is no overstock or lack of inventory in the future

scholarly journals ANALISIS KANDUNGAN LIMBAH INDUSTRI TAHU DAN TEMPE RAHAYU DI KELURAHAN UNER KECAMATAN KAWANGKOAN KABUPATEN MINAHASA

2020 ◽  
Vol 16 (2) ◽  
pp. 245
Author(s):  
Febrian Sayow ◽  
Bobby Vian Jhon Polii ◽  
Wenny Tilaar ◽  
Kojoh Deanne Augustine
Keyword(s):  
Sampling Method ◽  
Liquid Waste ◽  
Quality Standards ◽  
Quality Standard ◽  
Water Sampling ◽  
Raw Water ◽  
Descriptive Research ◽  
Sampling Locations ◽  
The Government

This study aims to (1). Knowing the content and quality of Rahayu's tofu and tempe factory liquidwaste in Uner Village, Kawangkoan Sub-district, Minahasa Regency, and (2). To find out whether Rahayu's tofu and tempe factory liquid waste has exceeded the quality standard. This research was conducted for 3 months, namely in January 2020- March 2020. Sampling locations were carried out in the factory of Tahu and Tempe Rahayu Sub-district in Uner Village, Kawangkoan District, then continued with the analysis at the Manado Industrial Research and Standardization Laboratory (Baristand). This research was a descriptive research and laboratory analysis. Waste water sampling was carried out using a composite sampling method. Sampling was done in the first two places, raw water is used to make tofu and tempe in an inlet and the first was taken from the tofu factory wastewater and tempe in the sewer. Waste liquid sampling was carried out 3 times and for analysis carried out at the Baristand Laboratory to obtain data according to the parameters set in this study. The results showed that the quality of Rahayu tofu and tempe industrial liquid waste based on the analysis of BOD, COD, and TSS parameters that have been analyzed accordingly and have not passed the quality standards set by the Government. However, for the pH parameters are not appropriate and in accordance with the quality standards set by Government.*eprm*

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