18 research outputs found
A GIS-based Waste Water Monitoring System Using LoRa Technology
Industrial waste is one of the causes of water pollution. Such waste requires periodic and continuous surveillance so that it can be followed up for specific treatments. This research develops LoRa (Long Range) technology for
monitoring waste water based on geographic information system. Sensors used in this research are turbidity, pH, and temperature sensors. The result of this research is a system capable of displaying and mapping the conditions of waste water under surveillance. Alerts are generated when the quality of waste water reaches a threshold value set to the owner of the factory. The accuracy of the turbidity sensor under test is 93.42%
ANALISIS FAKTOR -FAKTOR YANG BERPENGARUH TERHADAP ECONOMIC VALUE ADDED PADA PERUSAHAAN TRANSPORTASI YANG TERCATAT DI BES
A!at ukur kinefJu yang laZlm digunakan adalah analisis ra510 finanslaL Perkembangan dunia investasl telah mendorong munculnya konsep penilamn kinerja pcrusahaan yang dlkcnal dcngan i:'conollw,,' Value Add(!d ( EV.A, t EVA merupakan suatu perangkat finansial untuk mengukur keuntungan oyala opera.>;j perusahaan dengan mchbatkan biaya dan modal operas! dalam pcrhitungun laba bcr$lh sl':lelah pajak perusahaan. Hal imlah yang mampu membedakan dan sekaligus memberikan nilai lebih pada konsep EVA yang tidak dilakukan pada perhitungan konvemional.
Agar dapal diketahul faktor-faktor apa saja yang berpengaruh terhadap EVA pada pcrusahaan, rnaka penul1s tertank untuk mcngadakan penelitian denga;l. mt:ngambil judul , " Analisis Faktor-Faktor Yang Berpenb~ruh Tcrhadap f;cuf!umic j/a/uc Added Pada Perusahaan Transportasl Yang Tereatat Di .8ES ",Rumusan masalah dalam penelitian ini adalah: ( i ) Apakah earning per shure, return on mves{meru, return on equity, debl to e,juity ratl(), jiJ1ancwi leverage dan tingri:at suku bunga p;r,jaman Jangka pendek mempunyai penganth yang bermakna terhadap hcorwmr Value Added pada perusahaan transportasi yang; tercatat di BES, Berdasarkan teori yang digunakan maka hipotesis yang dtajukan dalam penehtian im adalah . Dlduga earmng per ,\/UJrr;, return on im'cstmen!, refUn1 on eqwf)', deb! M eqUIty ralio, fl1umciul lew:rage dan ringkat suku bunga pinjaman jangka pendek mempunya pengaruh terhadap EV;\ pada pen,sahaan transportasi yar.g sahamnya tcrcatat di BES ,
Pcngu,iian terhadap hipotcsis yang diajukan mcnunjukkan bahwa: ( i } Seearn simultan carning per ",hare, r;:iUn7 on mvesimenl, return on eqUity, debt to eqUifY rario, /tncmcwi leverage dan tingkat suku bunga pinjaman jangka pendek memiliki pcngaruh yang signifikan terhadap EVARET( Ii ) Secaffi pars!a! dan ena.m variabel bt:bas yang digunakan dahlin model yaitu : return on invcstmcrJ, UL'ht tv eqw(y rarlO, finuncl(</ leverage can tmgkat SUKU bunga pinJaman jangka pendek yang: memiliki pellgaruh signifikan secara parslai terhadap EVARET f:urning per share dan rerum on equity tidak mcmpunyai pengaruh yang sigmfikan terhadap EVMET( Ili )_ Bahwa dalam penelitian ini tidak ada gcjala multikolineritas. autokorelasi dan netcroskedeksila
Allelopathy Effect of the Blue Diatom HasleaOstrearia (Gaillon) Simonsen: Growth Inhibition in Aquaculture Relevant Microalgae
We are well known that the marine pennate diatom Hasleaostrearia (Gaillon) Simonsen produces the blue-green pigment called marennine. Marennine was identified as a polyphenolic compound. This compound is capable to inhibit the growth of herpes simplex virus type 1 (HSV-1) and several bacteria, including pathogens as Vibrio sp. The aim of this study was to determine how strong the allelophatic effect of marennine is generated byH. ostrearia and identifying its minimal concentration that inhibits the growth of other microalgae. The experiment consisted of two phases of research activities. The first phase was biovolumecomparaison between H. ostrearia and microalgae suitable for aquaculture tested to take into account the differences in size of the microalgae tested(Tetraselmissuecica, Chaetocerosgracilis, Skeletonemacostatum, PavlovalutheriandIsochrysisgalbana (T-Iso) in term of H. ostrearia biomass and production of marennine. The second phase was the bioactivity tests, which is include growth kinetics, allelophatic effects and concentration of marennine in the culture medium, measured with spectrophotometer. The results of this study showed that H. ostrearia could inhibit several species of microalgae currently used in aquaculture (T. suecica, C. gracilis and S. costatum). The statistical analysis (One way ANOVA) showed that there are significant differences (P < 0, 05) between treatments andwhen co-cultured with H. ostrearia, these microalgae exhibited a significant growth inhibition. The highest inhibition value was 97.77% (on the treatementH. ostrearia+C. gracilis). In this treatment, the concentration of marennine in the culture was 5.35 mg L-1. According to the results, we can conclude that the supernatant of H. ostrearia with marennine acts as an allelochemical. The minimal concentration is 0.23 mg L-1 and the highest is 5.35 mg L-1. The treatments H. ostreariawithP. lutheri and T-Iso did not performed any inhibition
Buy/Sell Signal Detection in Stock Trading with Bollinger Bands and Parabolic SAR
Technical analysis for stock market with its technical indicators is helpful for traders/investors to predict
correct timings either for buying or selling stocks. Trading strategy can be realized with the use of selected trading indicators to know when accumulation or distribution of stocks occurs. This paper proposes trading strategies employing Bollinger Bands and Parabolic SAR indicators. A web-based application is developed to help testing the performance of the proposed strategies. Historical end-of-day (EOD) stock price for
a sufficient period of time was used to back-test the proposed strategy performance. Several stocks from LQ-45 were selected to represent up-, down-, and sideway-trends. The results of the research are: the best strategy for an up-trending stock contributes to 17.06% profit and 1.19% for sideway market trend. Whilst when in down-trend, strategy #4 can minimize loss up to 2.62% than the only Bollinger Bands strategy
ISOLASI DAN SKRINING AKTIVITAS ANTIBAKTERI DARI BAKTERI SIMBION NUDIBRANCHIA Phyllidiella pustulosa dan Thuridilla lineolata
Nudibranchs are marine invetebrates belongs to the class of Gastropoda that are able to camouflage and develop a self-defense systems. Marine bacteria contain chemicals compunds that have potentials on marine drugs discovery through the secondary metabolism. The purpose of this study was to isolate the symbiotic bacteria from nudibranches Phylidiella pustulosa and Thuridilla lineolate and to screen the antibacterial activity of these bacterial isolates against Escherichia coli and Staphylococcus aureus. Isolation and culture of the symbiotic bacteria was made on B1 (solid) media. The results of the antibacterial assay showed that the symbiotic bacterial isolates from Phylidiella pustulosa and Thuridilla lineolate were able to inhibit the growth of the Staphylococcus aureus and Escherichia coli test. Keywords: nudibranch, Phyllidiella pustulosa, Thuridilla lineolate, bacteria, antibacterialAbstrakNudibranch adalah avetebrata laut dalam kelas Gastropoda yang mampu melakukan kamuflase dan mengembangkan sistem pertahanan diri. Bakteri laut mengandung senyawa kimia yang berpotensi sebagai bahan obat-obatan yang dihasilkan melalui metabolit sekunder. Tujuan dari penelitian ini yaitu untuk mengisolasi bakteri yang bersimbion dengan nudibranch Phylidiella pustulosa dan Thuridilla lineolate, kemudian mengamati aktivitas antibakteri dari isolat bakteri tersebut terhadap Escherichia coli danStaphylococcus aureus. Isolasi dan kultur bakteri yang bersimbion dibuat pada media B1 (padat). Skrining aktivitas antibakteri menunjukkan isolat bakteri yang bersimbion dengan nudibranch Phylidiella pustulosa dan Thuridilla lineolate mampu menghambat pertumbuhan organisme uji Staphylococcus aureus dan Escherichia coli. Kata kunci: nudibranch, Phyllidiella pustulosa, Thuridilla lineolate, bakteri, antibakter
Analisis Penyakit Kardiovaskular Menggunakan Metode Korelasi Pearson, Spearman dan Kendall
Cardiovascular disease is a disease that is affected by the heart and blood vessels. There are several main risk factors that cause cardiovascular disease. Risk factors for cardiovascular disease include: high blood pressure, high cholesterol, diabetes, being overweight or obese, age, sex, smoking, and alcohol. The more risk factors you have, the greater the chance of causing cardiovascular disease. In this research, it was developed using the Spearman, Pearson and Kendall correlation methods to analyze data on cardiovascular disease patients. The results showed there was correlation between blood pressure (ap_hi and ap_lo), age, and cholesterol had a strong relationship with cardiovascular disease. Glucose and cholesterol levels also have a strong relationship between one another
Implementasi TOPSIS (Technique For Order Preference By Similarity To Ideal Solution) Untuk Penentuan Tempat Pembuangan Akhir
Human population produces a fairly high waste every year. In Pemalang District there is only one final disposal site which is at Pegongsoran Village. A decision support system is needed that is expected to provide alternative options for determining the best landfill location other than such a site. In selecting the location of the Final Disposal Site, a method that can process data from each available alternative is needed. (TOPSIS) Technique For Order Preference By Similarity To Ideal Solution is one of the various Decision Support System methods. TOPSIS is a multi-criteria method for identifying limited alternative sets based on minimizing the distance of the farthest ideal point and maximizing the distance of the lowest ideal point. Based on the calculation using the TOPSIS method, the available data is fourteen districts as an alternative location choice and seven parameters have been found that Warungpring District has the highest rank and Pulosari District has the lowest rank. Then the results of these calculations will be visualized using Carto Map on an information system
Implementasi Analytic Network Process untuk Penentuan Tempat Pembuangan Akhir
The development of life style has a negative impact that the more waste generated every day, no exception conditions in Pemalang city therefore it is necessary to focusing in the processing of waste good and efficient waste in landfill. The process of choosing landfill location is one of the important aspects and many things to be aware of. To get an objective and accurate decision is now required the processing of computerized data with modern methods using a decision support system. The method used in this system is the Analytic Network Process or abbreviated ANP. This method will be implemented on the data processing to determine the best end disposal area in a region and will be displayed visually using the map Carto. With the existence of this system will give results of ranking and overview of the best area to be built a landfill in the area. The system is built using the PHP programming language and SQL database