Jurnal Ilmiah Matematika dan Terapan
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OPTIMALISASI BIAYA DAN WAKTU PELAKSANAAN PROYEK PEMBANGUNAN PERUMAHAN CITRALAND PALU MENGGUNAKAN METODE PROGRAM EVALUATION AND REVIEW TECHNIQUE (PERT) – CRITICAL PATH METHOD (CPM)
Full text linkThis study aimed to optimize the cost and time of implementation of development projects in residential homes Citraland located in the town of Palu subdistrict villages Mantikulore Tondo. Completion of construction of residential houses has been delayed time of completion of the construction. This leads to greater costs incurred in development projects. Therefore, to solve these problems is necessary to analyze the optimization of project time to determine how long a project is completed. Optimization of costs and project execution time is calculated using the Critical Path Method (CPM). The method is based on the results obtained, namely the normal completion time of the project for 69 weeks with a total cost of Rp. 297,887,212.00. Aftertime optimization through crashing eachthe implementation of the activities of the development to 48 weeks with a total cost of Rp. 350,261,175.00. The probability of completion of project design development using methods Program Evolution and Review Technique (PERT) is great opportunity to complete the project work for 48 weeks amounted to 93.19
APLIKASI REGRESI KUANTIL PADA KASUS DBD DI KOTA PALU SULAWESI TENGAH
Full text linkPalu city is one of the cities with unstable changes of natural conditions. The natural conditions such as the frequency of rainy day, temperature and humidity which are always changeable bring bad impacts and will cause of diseases especially dengue hemorrhagic fever (DBD). Therefore, it needs an action to recognise whether or not the natural condition factor influences the spread of DBD and determines what factors of the natural condition can influence the spread of DBD. This research applied quantile regression in the case of DBD in Palu city. Quantile regression is an analysis technique regarding to the functional relationship between one dependent variable with one or more independent variables which can provide accurate and stable results even though there will be outliers. Based on the result of the research, it is obtained that the natural condition factor affected the spread of DBD. This is because from 3 natural conditions only 11 significant or influential quantiles on the tested data, the quantiles are 0,30; 0,35; 0,40; 0,45; 0,50; 0,55; 0,60; 0,65; 0,70; 0,75 and 0,80. Meanwhile the most influential factor of natural conditions in spreading DBD is the frequency of rainy day because it has positive which means that 1 progress of percentage will increase the quantity of DBD case
PERBANDINGAN ANTARA METODE CART (CLASSIFICATION AND EGRESSION TREE) DAN REGRESI LOGISTIK (LOGISTIC REGRESSION) DALAM MENGKLASIFIKASIKAN PASIEN PENDERITA DBD (DEMAM BERDARAH DENGUE)
Full text linkClassification is one of statistical methods in grouping the data compiled systematically. The classification of an object can be done by two approaches, namely classification methods parametric and non-parametric methods. Non-parametric methods is used in this study is the method of CART to be compared to the classification result of the logistic regression as one of a parametric method. From accuracy classification table of CART method to classify the status of DHF patient into category of severe and non-severe exactly 76.3%, whereas the percentage of truth logistic regression was 76.7%, CART method to classify the status of DHF patient into categories of severe and non-severe exactly 76.3%, CART method yielded 4 significant variables that hepatomegaly, epitaksis, melena and diarrhea as well as the classification is divided into several segmens into a more accurate whereas the logistic regression produces only 1 significant variables that hepatomegal
PREDIKSI PENYAKIT TUBERCULOSIS PARU (TB PARU) MENGGUNAKAN METODE LEARNING VEKTOR QUANTIZATION (LVQ)
Full text linkTuberculosis pulmonary (TB pulmonary) is a contagious disease that attacks the lungs that can spread through the air when a person active TB cough, sneeze or talk. This study aims to predict Tuberculosis pulmonary disease using Learning Vector quantization based on data from the medical records of the health centers kamonji, Palu city. The study was conducted using 8 TB pulmonary disease risk factors which are age, gender, fever, long cough, cough, chest pain, shortness of breath, and decreased body weight. Classification is done by using 100 data consisting of 80 training data and 20 testing data. Results of the study showed that tested all the data correctly with rank of accuracy is 100%
OPTIMALISASI BIAYA TRANSPORTASI PENDISTRIBUSIAN KERAMIK MENGGUNAKAN MODEL TRANSPORTASI METODE MODIFIED DISTRIBUSITION (STUDI KASUS : PT. INDAH BANGUNAN)
Full text linkThis study was conducted to obtain optimal costs of transportation in the distribution of Ceramics at PT. Indah Bangunan Palu. This research is carried out by several steps such as: making the model transportation of obtained the data, determining the initial solution by the method of Least cost, and finding the optimal solution with Modified Distribution (MODI) method. The research results showed that an initial solution is . 53.919.000 and the optimal solution is . 53.756.000. On the other hand the transportation cost from the company before optimization is . 62.126.000. This indicates that PT. Indah Bangunan Palu can optimize the costs of transport for the distribution of ceramics on September 2016 with a cost savings of . 8.370.000 or 13
PERUBAHAN DISTRIBUSI MERKURI (Hg) TERHADAP WAKTU DI SEDIMEN SUNGAI POBOYA
Full text linkPoboya is illegal gold mining area at Palu City. The amalgamate process of gold extraction is prepared traditionally using mercury. Tailing of this process which contains mercury is throwed away to the ground. The mercury contain will infiltrate to the soil water and later on pollute Poboya’s river. Related to the mercury that categorized as dangerous material, this research purposes to investigate the mercury distribution changing at Poboya’s river sediment. The mercury distribution changing is investigated by modify the advection-diffusion equation model. The model was completed by the initial conditions and Neumann boundary conditions. To get the numerical solutions, it is used a numerical scheme namely Duffort Frankel finite difference method for the second derivative, and Center Scheme for the first derivative. The solution represents the mercury distribution changing with respect to time at the Poboya’s river sediment. The simulation result explains that 0,0521 ppm mercury is distributed from the upper bound (current source) observation domain following the sediment direction (to estuary) caused by the advection process and decreased due to the diffusion process. For , the mecury was distributed 0,00285 m to the estuary direction with the mercury concentration is 0,005 ppm, until , mercury was distributed 0,00832 m to estuary with mercury concentration is 0,005 ppm. In fact that at the estuary (lower bound), the 0,0244 ppm mercury that was already deposited will be diffused in an opposite direction. The advection process and the low initial mercury concentration, makes the reached distribution distance is no longer far comparing to the opposited mercury distribution. For the mercury was distributed 0,000822 m to the upper direction with mercury concentration is 0,005 ppm, until , the mercury was distributed 0,000873 m with mercury concentration is 0,005 pp
RANCANG BANGUN APLIKASI STEGANOGRAPHY METODE MINIMUM ERROR LEAST SIGNIFICANT BIT REPLACEMENT (MELSBR)
Full text linkDigital data security today is an important part of user because of the increasingly widespread misuse of individuals who can easily open a personal thing. In this case, steganography is a technique that discusses the security of digital data information through the technique of hiding data into other data. Many methods are used in steganography techniques in the process of hiding digital data information. But in this study, the author uses the steganography method based on the insertion of files in the form of files, namely in this case * txt file using the Minimum Error Least Significant Bit Replacement (MELSBR) method with a media storage in the form of 24-bit bitmap files and data that can be inserted in the form of files * txt. The nature of the MELSBR method is to adapt to the local characteristics of the storage medium. In the process of image processing testing researchers use PSNR parameters to determine the quality comparison of digital images before and after processing. The results of this study, concealment and insertion using the MELSBR method with PSNR testing has a greater value so that it can be concluded that the image after processing is getting closer to the cover image
SIMULASI PENANGANAN PENCILAN PADA ANALISIS REGRESI MENGGUNAKAN METODE LEAST MEDIAN SQUARE (LMS)
Full text linkThe simulation of handling of outliers on regression analysis used the method which was commonly used to predict the parameter in regression analysis, namely Least Median Square (LMS) due to the simple calculation it had. The data with outliers would result in unbiased parameter estimate. Hence, it was necessary to draw up the robust regression to overcome the outliers. The data used were simulation data of the number of data pairs ( X,Y) by 25 and 100 respectively. The result of the simulation was divided into 5 subsets of data cluster of parameter regression prediction by Ordinary Least Square (OLS) and Least Median Square (LMS) methods. The prediction result of the parameter of each method on each subset of data cluster was tested with both method to discover the which better one. Based on the research findings, it was found that The Least Median Square (LMS) method was known better than Ordinary Least Square (OLS) method in predicting the regression parameter on the data which had up to 3% of the percentage of the outlier
OPTIMALISASI PENDISTRIBUSIAN BARANG DI PT.SINAR NIAGA SEJAHTERA PALU MENGGUNAKAN METODE GOAL PROGRAMMING
Full text linkPT.Sinar Niaga Sejahtera isone ofdistributorin Palu who distribute products to a variety of shops. Goal Programming is a method that can solve the problem with more than one purposes. The purposes of this study are to maximize the number of the car and minimize the distribution cost of PT.Sinar Niaga Sejahtera. Goal Programming model formulationin this research consistsof 6 priorities and 6 function constraints. The sixth priorities are,warehous capacity, the number of cars used to the distribution of goods to store Sinar Kasih II,store Cahaya Indah, store Bintang Rezeki, store Hi. Abdullah, and a minimum distribution costs. Constraint functions consist of a number of cars and the cost of distribution. The research results showed that the supply of goods by the warehouse capacity that can fulfiil the necessary distribution of goods during the month amounted to 136.93 or 8.628 box Optimal volume distribution of goods in each store are sequentially Sinar Kasih II which is 2 units with a capacity of 4 or 252 box, Cahaya Indah 3 units with a capacity of 7 or 441 box, Hi. Abdullah 2 units with a capacity of 12 or 756 box and Star 2 cars Rezeki capacity of 4 . This model can save the distribution costs of Rp. 7.127.147 from the previous distribution costs of Rp. 35.000.000
PERBANDINGAN KINERJA KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) DAN REGRESI LOGISTIK BINER DALAM MENGKLASIFIKASIKAN KETEPATAN WAKTU KELULUSAN MAHASISWA FMIPA UNTAD
Full text linkEvaluasi kinerja klasifikasi dapat ditentukan berdasarkan persentase besarnya kesalahan klasifikasi (misclassification rate atau MCR). Penelitian ini bertujuan membandingkan kinerja klasifikasi ketepatan waktu kelulusan mahasiswa FMIPA UNTAD dengan menggunakan metode support vector machine dan regresi logistik biner. Hasil penelitian diperoleh bahwa kesalahan klasifikasi dengan menggunakan metode Support Vector Machine (SVM) dan regresi logistik biner masing-masing sebesar 16.84% dan 19.3%. Berdasarkan perbandingan kinerja kedua metode tersebut, metode dengan kesalahan klasifikasi terkecil adalah metode Support Vector Machine. Metode tersebut dapat digunakan untuk mengklasifikasikan ketepatan waktu kelulusan mahasiswa FMIPA UNTA