Rahmat Syam
Jurusan Matematika, Fakultas MIPA, Universitas Negeri Makassar, Makassar 90222, Indonesia

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THE EFFECTIVENESS OF USING WORD WALL IN TEACHING SIMPLE PRESENT TENSE AT THE FIRST YEAR STUDENTS OF JUNIOR HIGH SCHOOL 1 PARIGI Syam, Rahmat
ETERNAL (English, Teaching, Learning and Research Journal) Vol 1, No 2 (2015)
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/Eternal.V12.2015.A10

Abstract

This research is about the effectiveness of using word wall in teaching simple present tense at the first year students of Junior High School 1 Parigi. The study tried to answer this problem: “Is the word wall effective to be used in teaching simple present tense?”. The objective of the research was to find out the effectiveness of word wall in teaching simple present tense at the first year students of Junior High School 1 Parigi. This research used quasi-experimental design. The population of this research was the first grade students of Junior High School 1 Parigi in academic year 2014/2015. The total number of the population was 48 students. The sample of the research was selected by using total sampling technique. They were divided into two classes, one of the two classes was experimental class and the other became the controlled class. The data were collected through test. After the treatment, the students’ achievement from the pre-test to the post test has improved highly. It can be seen that, the improvement of their score from the pre-test till the post test. The mean score of the pre-test for the controlled class is 42.50, but it has increased to 68.95 at the post test. The mean score of the pre-test for the experimental class is 48.33, but it has increased to 80.20 at the post test. It means that, the experimental class better than the controlled class. World wall has some advantages for the learning process, such as the colorful design of the word wall which could activate the student’s thinking process and students will not be bored and passive in class because they will interact with the word wall. Based on the data above, the researcher concludes that word wall is effective to be used in teaching simple present tense. English teachers should explore more methods that could be used to teach simple present tense.
Determining the Standard Value of Acquisition Distortion of Fingerprint Images Based on Image Quality Syam, Rahmat; Hariadi, Mochamad; Purnomo, Mauridhi Herry
Journal of ICT Research and Applications Vol 4, No 2 (2010)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1217.66 KB) | DOI: 10.5614/itbj.ict.2010.4.2.4

Abstract

This paper describes a novel procedure for determining the standard value of acquisition distortion of fingerprint images. Knowledge about the standard value of acquisition distortion of the fingerprint images is very important in determining the method for improving image quality. In this paper, we propose a model to determine the standard value that can be used in classifying the type of distortion of the fingerprint images based on the image quality. The results show that the standard value of acquisition distortion of the fingerprint images based on the image quality have values of the local clarity scores (LCS) follows: dry parameter values are in the range of 0.0127-0.0149, neutral parameter values are less than 0.0127, and oily parameter values are greater than 0.0149. Meanwhile, the global clarity scores (GCS) are as follows: dry parameter values are in the range of 0.0117-0.0120, neutral parameter values are less than 0.0117, and oily parameter values are greater than 0.0120; and ridge-valley thickness ratios (RVTR) are as follows: dry parameter values are less than 7.75E-05, neutral parameter values are 7.75E-05-5.94E-05, and oily parameter values are greater than 5.94E-05.
Determining the Standard Value of the Oily Distortion of Acquisition the Fingerprint Images Syam, Rahmat; Hariadi, Mochamad; Purnomo, Mauridhi
Makara Journal of Technology Vol 15, No 1 (2011)
Publisher : Directorate of Research and Community Services, Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (812.928 KB) | DOI: 10.7454/mst.v15i1.202

Abstract

This research describes a novel procedure for determining the standard value of the oily distortion of acquisition the fingerprint images based on the score of clarity and ridge-valley thickness ratio. The fingerprint image is quantized into blocks size 32 x 32 pixels. Inside each block, an orientation line, which perpendicular to the ridge direction, is computed. The center of the block along the ridge direction, a two-dimension (2-D) vector  V1 (slanted square) with the pixel size 32 x 13 pixels can be extracted and transformed to a vertical 2-D vector V2. Linear regression can be applied to the one-dimension (1-D) vector V3 to find the determinant threshold (DT1). The lower regions than DT1 are the ridges, otherwise are the valleys. Tests carried out by calculating the clarity  of the image from the overlapping area of the gray-level distribution of ridge and valley that has been separated. Thickness ratio size of the ridge to valley, it is computation per block, the thickness of ridge and valley obtained from the gray-level values per block of image in the normal direction toward the ridge, the average values obtained from the overall image. The results shown that the standard value of the oily distortion of acquisition the fingerprint image is said to oily fingerprint when the images have local clarity scores (LCS) is between 0.01446 to 0.01550, global clarity scores (GCS) is between 0.01186 to 0.01230, and ridge-valley thickness ratio (RVTR) is between 6.98E-05 to 7.22E-05.
Peramalan Penjualan dengan Metode Exponential Smoothing (Studi Kasus : Penjualan Bakso Kemasaan/Kiloan Rumah Bakso Bang Ipul) Ihsan, Hisyam; Syam, Rahmat; Ahmad, Fahrul
Journal of Mathemathics, Computation, and Statistics Vol 1, No 1 (2018): April
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.907 KB)

Abstract

Abstrak. Peramalan penjualan memungkinkan sebuah perusahan memilih kebijakan yang optimal untuk membuat keputusan yang sesuai dan mempertahankan efisiensi dari kegiatan operasional. Rumah Bakso Bang Ipul adalah salah satu usaha yang melakukan penjualan yakni penjualan bakso kemasaan/kiloan. Oleh sebab itu,. Rumah Bakso Bang Ipul sangat memerlukan peramalan penjualan untuk meningkatkan keuntungan dan menghindari terjadinya kelebihan atau kekurangan persedian bakso kemasaan/kiloan. Penelitian ini dilakukan peramalan dengan metode exponential smoothing. Adapun parameter atau a yang digunakan dalam meramalkan penjualan adalah a = 0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8, dan 0.9. Singel exponential smoothing melakukan perbandingan dalam menentukan nilai a, dengan mencari nilai a tersebut secara trial and error sampai menemukan a yang memiliki error minimum dengan pencarian menggunakan metode mean absolute error (MAE) dan metode Mean Squaered error (MSE). Sehingga dipilih a = 0.1 dengan nilai MAE = 6.23 dan nilai MSE = 58.32. berdasarkan hasil ini, dengan menggunakan metode singel exponential smoothing dan a =0.1 diperoleh hasil peramalan penjualan bakso bang ipul pada bulan juni 2018 sebanyak 48 kilogram.Kata Kunci: Peramalan, Metode Exponential Smoothing, Metode Singel Exponential SmoothingAbstract. Sales forecasting enables an optimal policy of the company had to make the appropriate decision and maintain the efficiency of operational activities. Rumah Bakso Bang Ipul is a business that sells packaged meatballs. Therefore, Rumah Bakso Bang Ipul is in need of sales forecasting to increase profit and avoid the occurrence or lack of supply of packaged meatballs. This research was conducted by the method of exponential smoothing forecasting. As for parameter or a used predicting sales is a = 0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8, and 0.9. single exponential smoothing do a comparison in determining the value of a, by searching for the value of such a trial and error to find a that has minimum error with search method using the mean absolute error (MAE) and mean squared error (MSE). So that selected a = 0.1 with MAE value = 6.23 and MSE Value = 58.32. Based on  these results, using the method of single exponential smoothing and retrieved results forecasting Rumah Bakso Bang Ipul in July 2018 as much as 48 kilograms.Keywords: Forecasting, Method of exponential smoothing, Method of single exponential smoothing.
Analisis Dan Simulasi Persamaan Differensial Pada Pemodelan Penyakit Campak di Kota Parepare Side, Syafruddin; Syam, Rahmat; Elsa, Meisy Tri
Journal of Mathemathics, Computation, and Statistics Vol 1, No 2 (2018): Oktober
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.907 KB)

Abstract

Abstrak. Penelitian ini membahas mengenai model matematika SEIRV pada penyakit campak di kota Parepare. Data yang digunakan adalah data jumlah penderita penyakit campak di kota Parepare tahun 2015 dari Dinas Kesehatan Kota Parepare. Pembahasan dimulai dari membangun model matematika SEIRV penyakit campak, penentuan titik ekulibrium, selanjutnya mencari analisis kestabilan titik ekuilibrium dan membuat simulasi model. Penulisan tugas akhir ini dilakukan dengan menggunakan metode kajian literatur. Penulisan ini diharapkan dapat memberikan gambaran umum tentang model matematika SEIRV. Langkah-langkah yang dilakukan yaitu mengidentifikasi masalah, menyusun asumsi-asumsi untuk menyederhanakan model, membuat diagram transfer, mengidentifikasikan parameter-parameter, menentukan titik ekuilibrium kemudian melakukan analisis kestabilan dan mansimulasikan model. Berdasarkan hasil yang diperoleh, vaksinasi adalah cara terbaik dalam penyembuhan penyakit campak.Kata Kunci: campak, vaksinasi, SEIRV.Abstract. This research discusses the SEIRV model of measles. The data used is the number of people with measles in Parepare City in 2015. This data is obtained from Parepare City Health Department. The discussion begins with constructing the SEIRV model of measles,determining the equilibrium point and analyzing the stability. Then, creating a simulation model. This research is conducted by using method of literature study. It is expected to proside an overview of the SEIRV mathematical model. The steps taken are identifying the problem, formulating assumptions to obtained, vaccination is the best way to cure measlesKeyword: Measles, Vaccination, SEIRV.
Prediksi Harga Kontrak Opsi Asia dalam Perdagangan Pasar Saham dengan Menggunakan Metode Monte Carlo Syam, Rahmat; Zaki, Ahmad; Basri, Muhammad Hasriyadi
Journal of Mathemathics, Computation, and Statistics Vol 1, No 1 (2018): April
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (228.07 KB)

Abstract

Abstrak: Opsi adalah suatu kontrak yang memberikan hak (bukan kewajiban) kepada pemegang kontrak (option buyer) untuk membeli atau menjual suatu aset tertentu suatu perusahaan kepada penulis opsi (option writer). Apabila pada saat jatuh tempo (expiration date) pemegang opsi tidak menggunakan haknya, maka hak tersebut akan hilang dengan sendirinya. Dengan demikian opsi yang dimiliki tidak akan mempunyai nilai lagi. Monte Carlo adalah suatu metode yang menghendaki model simulasi yang mengikutsertakan bilangan acak dan sampel yang berbasis pada komputer. Prosedur simulasi melibatkan pembangkit bilangan acak dengan memberikan kepadatan probabilitas dan menggunakan hukum bilangan besar untuk mendapatkan rata-rata dari nilainya sebagai penaksir dari nilai harapan variabel acak. Penelitian ini bertujuan untuk memprediksi harga opsi saham pada periode kedepannya dan sebagai bahan pertimbangan bagi pelaku perdagangan saham untuk mengambul keputusan untuk menjual atau membali opsi suatu saham dengan menggunakan software Matlab. Jenis penelitian yang digunakan adalah penelitian terapan menggunakan metode Monte Carlo untuk mensimulasikan data saham. Hasil menunjukkan bahwa semakin banyak iterasi yang dilakukan maka nilai prediksi juga semakin baik dan konvergen ke suatu nilai. Nilai prediksi stabil pada iterasi ke-60000 dengan nilai error dari MAPE kurang dari 20% sehingga nilai prediksi dapat dikatakan baik.Kata Kunci: Opsi Asia, Monte Carlo, Black-Scholes, Matlab, MAPE.Abstract: Option is a contract that gives rights (not obligations) to the contract holder (option buyer) to buy or sell a certain asset of a company to the option writer (option writer). Monte Carlo is a method that requires a simulation model that includes random numbers and samples based on computers. The simulation procedure involves generating random numbers by providing a probability density and using the law of large numbers to get the average of its values as an estimator of the expected value of the random variable. This study aims to predict stock option prices in the future and as a material consideration for stock trading players to make a decision to sell or buy options for a stock using Matlab software. The type of research used is applied research using the Monte Carlo method to simulate stock data. The results show that the more iterations are carried out, the predictive value is also getting better and converging to a value. The predictive value is stable at the 60000th iteration with an error value of MAPE of less than 20% so that the predicted value can be said to be good.Keywords: Asia Option, Monte Carlo, Black-Scholes, Matlab, MAPE.
Metode Automatic clustering-fuzzy logical relationships pada Peramalan Jumlah Penduduk di Kota Makassar Abdy, Muhammad; Syam, Rahmat; Haryanensi, Elfira
Journal of Mathemathics, Computation, and Statistics Vol 1, No 2 (2018): Oktober
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.64 KB)

Abstract

Abstrak. Penelitian ini merupakan penerapan metode automatic clustering-fuzzy logical relationships unruk meramalkan jumlah penduduk di Kota Makassar menggunakan data sekunder BPS Kota Makassar yang bertujuan memprediksi jumlah penduduk  tahun 2017-2021. Penelitian diawali dengan penentuan panjang interval, nilai tengah panjang interval, membuat relasi logika fuzzy, fuzzifikasi, defuzzifikasi, dan menghitung nilai error hasil ramalan dengan metode Mean Absolute Percentage Error. Hasil penelitian ini menunjukkan bahwa ramalan jumlah penduduk di Kota Makassar dari tahun 2016 ke 2017 meningkat, tahun 2017 sampai tahun 2019 menurun, dan pada tahun 2019-2021 meningkat dengan keakuratan yang sangat bagus.Kata kunci:Automatic clustering-fuzzy logical relationships, Fuzzy Time Series,TeoriFuzzyAbstract.This research is the application of the forecasting method of fuzzy time series which is the method of automatic clustering fuzzy-logical relationships in forecasting the population of Makassar City using secondary data from BPS Makassar city which aims to predicting the population in year 2017-2021. The discussion starting from the determination of the length of the interval, determining the value of the middle length interval, making relations of fuzzy logic, fuzzification, defuzzification, and calculating the error value of the forecasting result by using the method of Mean Absolute Percentage Error. The result of this research shows that the predictions of the population of Makassar City from 2016 to 2017 increased, from 2017 to 2019 decreased, and in 2019-2021 increased with the very good accuracy. Keywords:Automatic Clustering-Fuzzy Logical Relationships, Fuzzy Time Series,Fuzzy Theory