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All Journal JURNAL ILMIAH MATEMATIKA DAN TERAPAN BAREKENG: Jurnal Ilmu Matematika dan Terapan Mathvision : Jurnal Matematika Parameter: Journal of Statistics Jurnal Matematika Integratif Jurnal Pengabdian Farmasi dan Sains

Desy Lusiyanti

Universitas Tadulako

Author-ID : 723781

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Transportation

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OPTIMALISASI BIAYA DAN WAKTU PELAKSANAAN PROYEK PEMBANGUNAN PERUMAHAN CITRALAND PALU MENGGUNAKAN METODE PROGRAM EVALUATION AND REVIEW TECHNIQUE (PERT) â€“ CRITICAL PATH METHOD (CPM) Wardani, N M E; Musdalifah, S; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 15 No. 2 (2018)
Publisher : Program Studi Matematika, Universitas Tadulako

This 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%

SISTEM SEDERHANA UNTUK MEMPREDIKSI RISIKO PEMBERIAN KREDIT Lusiyanti, D; Nacong, N
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 15 No. 2 (2018)
Publisher : Program Studi Matematika, Universitas Tadulako

Credit risk prediction is very beneficial for the bank or financing institution in making credit decisions. In the decisionmaking, a decision maker in a banking must be able to take the right decision to accept or reject the credit application. If the decision maker is right in making a decision, then the bank will get customers who support the health and sustainability of the banking business, and vice versa. In this study, Support Vector Machien (SVM) is implemented to predict the crediting risk. The data used is data obtained from one of the financing institutions. By using different activation functions, 80.9524% accuracy is obtained or there are 51 precisely predictable data from 63 existing data

ANALISIS MODEL ANTRIAN MULTIPLE CHANNEL MULTIPLE PHASE SERVICE DALAM PROSES PEMBUATAN KARTU MAHASISWA (KTM) PADA BANK BNI UNTAD Usman, R; Jaya, A I; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 16 No. 1 (2019)
Publisher : Program Studi Matematika, Universitas Tadulako

The queue is a common situation that is common in our daily lives as consumers waited in front of the booth to get a turn to the service or service facilities. One example is the manufacture queue Student Identity Card (KTM) Tadulako in Bank BNI UNTAD. The purposes of this research is to analyze the characteristics of the making of queue Student Identity Card (KTM) Tadulako in Bank BNI of UNTAD. By calculating the probability were no queues (ð‘ƒ0 ),the average customer in the queue (ð¿ð‘Ž),the average customer in the system (ð¿ð‘ ),the average waiting time for customers in the queue (Wa ),the average time waiting for customers in the system (Wð‘ ). The results showed that the model type of queue that is used in the manufacture of Student Card (KTM) Tadulako in Bank BNI UNTAD is a model of multiple channels-multiple phase (M / M / S) with a Poisson arrival pattern distribution and exponential distribution service time. The analysis shows the performance characteristics of a queuing system manufacture KTM BANK BNI of UNTAD can be said to have been effective, because of the steady state in each stage. On Wednesday, the value of (ð‘ƒ0 ) at CS is 0,145 and the teller is 0.8879,for the value of (ð¿ð‘Ž) in CS is 1.8821 and the teller customer is a customer 0.0004 tothe value (ð¿ð‘ ) 3.4948is the customer, to the value of (Wa ) on CS is 33.5373 minutes and the teller was 0.0075 minutes, to the value of (Wð‘ ) is 74.1952 minutes. On Thursday, the value of (ð‘ƒ0 ) on CS was 0.121 and the teller is 0.8837,for the value of (ð¿ð‘Ž) in CS is 2.4998 and the teller customer is a customer 0.0005 tothe value (ð¿ð‘ ) 4.1918is the customer, to the value of (Wa ) on CS is 42.4061 minutes and the teller was 0.0081 minutes, to the value of (Wð‘ ) is 71.1808 minutes.Keywords : Exponential Distribution, Poisson Distribution, Queue Multi Phase

PEMODELAN WAKTU TUNGGU PENUMPANG PADA JALUR ANGKUTAN DALAM KOTA PALU MENGGUNAKAN ALJABAR MAX-PLUS Natalia, Y; Sudarsana, I W; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 16 No. 1 (2019)
Publisher : Program Studi Matematika, Universitas Tadulako

Passenger waiting time is the time required by passengers starting from the stops until getting transport. The purpose of this research is to get the model of waiting time passengers on the freight line in the Palu city. The first step is the preparation of directed graphs based on the existring routes, then calculate the mileage and travel time using synchronization rules and power algorithm with initial vector ð‘¥ = 0 obtained the value ð‘ = 2, ð‘ž = 1 and ð‘ = 102by using the appplication rock Scilab 5.5.2 and Map-Plus Toolbox obtained eigenvalues as the departure period of 102 and eigenvektor as the initial departure time.Keywords : Eigenvalues, Eigenvectors, Max-Plus Algebra, Waiting Time.

Prediksi Tingkat Pertumbuhan Ekonomi Provinsi Sulawesi Tengah Menggunakan Metode Backpropagation Jafaar, I M; Sahari, A; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 16 No. 2 (2019)
Publisher : Program Studi Matematika, Universitas Tadulako

ABSTRACTEconomic growth in the region is the regional economy conditions change continuously towards a better State fora certain period. The slow economic growth became the latest leading indicator an area to develop. Indicators thatcan be used for example, GDP and inflation. On the research of these indicators will be used to predict the growthrate of the economy of Central Sulawesi province using the Backpropagation Neural Network Methods. Simulationof the program in the form of input data is represented ð‘¥1 and ð‘¥2 and biased ð‘1 dan ð‘2 symbolized. With hiddenlayers comprising ð‘§1, ð‘§2, ð‘§3, ð‘§4, â€¦ , ð‘§17 . and y as output. Based on the results and discussion has been done, can bedrawn the conclusion of process Neural Network prediction of Backpropagation with 1 hidden layer neurons andthe number 17 against 26 data represents data inflation and GDP of the year 2010 up to 2016 with sigmoid activationfunction binner was able to predict the rate of economic growth with a prediction error of 16.66%.Keywords : ANN, Backpropagation Method, Inflation, PDRB.

Klasifikasi Pasien Kanker Payudara Menggunakan Metode Rough Set M Rifai; Musdalifah, S; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 16 No. 2 (2019)
Publisher : Program Studi Matematika, Universitas Tadulako

ABSTRACTBreast cancer is a condition where the cell has lost control and its normal mechanism, so that abnormal growthoccurs quickly and uncontrollably that occurs in breast tissue. The basic thing that needs to be known about thecancer is the stage, so that the handling of the patient can be done correctly. In determining the cancer stage Union for International Cancer Control (UICC) uses several indicators, namely, the primary tumor which describes the size of the tumor and the expansion of the tumor to the chest wall, involvement of lymph nodes around the breast and distant metastases to other organs. Therefore, it is necessary to have a decision support system application that aims to classify cancer patient data based on the Stadium. One classification method that looks for the Decision Rule is the Rough Set. Basically this Rough set method is a decision-making method that is used to find a pattern from the data set that is processed. So that a pattern / rule can be obtained that can be used as a reference in decision making. In this study the pattern obtained as many as 16 will be entered into the Net-Bean software with java language so that it becomes a decision support system, then the system will be tested using 135 test data From these tests, namely by comparing the actual data with the results obtained from the decision support system application. So, the accuracy is 100%.Keywords : Classification, Breast Cancer Stadium, Rough Set.

Penentuan Rute Terpendek Pendistribusian Tabung Gas Lpg 3 Kg Pt. Fega Gas Palu Pratama Menggunakan Algoritma Tabu Search Riswan; Sahari, A; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 16 No. 2 (2019)
Publisher : Program Studi Matematika, Universitas Tadulako

ABSTRACTDistribution is one of the important tools in the company business activities. The problem that is often occurred indistribution is the determination of the shortest route. The purpose of this study is optimitation distribution route of3 kg LPG gas cylinders which is carried out by PT. Fega Gas Palu Pratama in Palu City, considering that thiscompany has not used a particular method in determining the distribution route of 3 kg LPG gas cylinders. Themethod used in this study is the Tabu Search algorithm. The algorithm of the Tabu Search method are of follows,first by determine the initial solution using the closest Nearest Neighbor, determine alternatives by exchange 2points in the solution, evaluate alternative solutions, determine a new optimum solution, update the Tabu List, thenwhen the termination criteria are obtained then the Tabu Search algorithm will stop otherwise it will revert toexchanging 2 points evaluation. The process of calculating the Tabu Search algorithm is conducted manually andbuilt using MATLAB. Based on the research that has been done, it is obtained that the shortest, more efficient routeis 21.91 km which has reduction of 7.26 km from the initial route 29.17 km.Keywords : Algorithm Tabu Search, Distribution, Shortest Route.

Implementasi Metode K-Nearest Neighbor Untuk Mengklasifikasi Jenis Penyakit Katarak Safaat, M; Sahari, A; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 17 No. 1 (2020)
Publisher : Program Studi Matematika, Universitas Tadulako

The eyes is one of the five senses that are very important for humans that are used to see the beauty of nature and interact with the environment properly. If the eyes has a problems or diseases, it will be very severe. One of the disorders in the eye is cataract. Cataract if allowed, it will get worse for the sufferer. Therefore, the accuracy of determining the type and layout of early cataract is very important to prevent the more severe effects of cataract. One way to find out early on the type of cataract is by using the mathematical approach to data mining, namely the K-Nearest Neighbor (KNN) method. The concept of the KNN method is to find the nearest neighbor and choose the majority of the classes in the cluster. In this study, the system classified cataract types based on the symptoms experienced by cataract patients at Anutapura Palu Hospital whose research data was obtained from January 2018-March 2018 which amounted to 170 data. The results of this study indicate the accuracy of the KNN method for 170 data at 91.76% Keywords : Cataract, Classification, K-Nearest Neighbor (KNN)

Implementasi Sistem Inferensi Fuzzy Pada Pengambilan Keputusan Penentuan Kualitas Air PDAM Oktavia, S; Musdalifah, S; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 17 No. 1 (2020)
Publisher : Program Studi Matematika, Universitas Tadulako

Water is one of the most important natural resources for all living things. For humans, water is used for bathing, washing and drinking so that the quality needs to be considered. Water quality is a major factor to determine the feasibility of water to be used. The purpose of this research is to implement Fuzzy inference system on decision making to determine water quality of PDAM. Mamdani method is used as a fuzzy inference systems and GUIDE MATLAB is used as a program that can facilitate the users. Input of the system in the form of values of water quality parameters test results the parameters are Color, Turbidity, Total Dissolved Solid (TDS), Nitrite, Nitrate, Coliform, e-coli, and pH. System works well in determining the quality of water, it can be evidenced by the level of accuracy of 94,44% of the 72 data used in Laboratory Uwe Lino Donggala District Laboratory and Palu District PDAM Laboratory

Merancang Alat Pendeteksi Boraks Pada Bakso Menggunakan Metode Logika Fuzzy Berdasarkan Sensor Warna Dan LED (Light Emitting Diode) Berbasis Android Turilah, N H; Sudarsana, I W; Lusiyanti, D
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 17 No. 2 (2020)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2020.v17.i2.15347

ABSTRACT Meatballs are foods made from meat, shrimp, fish chopped and crushed together with starch and egg white, usually formed roundly. Meatballs have health benefits for the human body because of the content contained in animal protein, vitamins and fat. However, in the manufacture of meatballs for the benefit of many, sellers often use the wrong way by using borax chemicals on meatballs. Therefore, this study aims to build a design tool in the form of borax detection on meatballs based on android. The tool works by processing the input data obtained from a color sensor coupled with an LED (Light Emitting Diode) to the microcontroller on Arduino Uno R3. The data is processed by implementing the Mamdani fuzzy logic method as a decision to state the output output of borax detector on meatballs. Furthermore, the output output displayed on the device using a sample of 12 meatballs obtained tool accuracy of 75%. Keywords : Boraks, Color Sensor, Fuzzy Logic, Microcontroller, Meatball.

Co-Authors Agusman Sahari Andri Andri Anwar, C Ayu Lestari Darmawanti, Y Fajri, M Gunawan, I I Wayan Sudarsana Iman Al Fajri Iman Al Fajri Jafaar, I M Jaya, A I Khairiah, J M Rifai Mohammad Fajri Muhammad Alkifar Masdin Musdalifah, S Mustakim, J R Nasria Nacong Natalia, Y Nur' eni Nur'Eni Oganis, C Oktavia, S Ondja, T N Peole, I N Prasetyo, W F Pratiwi, A M Rasna Rina Ratianingsih Riswan Rivaldi, Rivaldi Safaat, M Safir, M Sahari, A Selvy Musdalifah Sudarsana, I W Sutrisno, D Tandi, Andri Tuadi, A A Turilah, N H Usman, R Wardani, N M E

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