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EVALUASI RANCANGAN EKSPERIMEN PADA MODEL PERMUKAAN MULTIRESPON YANG MELIBATKAN FAKTOR NOISE -, Irwan
Teknosains Vol 5, No 1 (2011): JANUARI
Publisher : Fakultas Sains dan Teknologi UIN ALauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.76 KB)

Abstract

This article aim to study process design having the character of steady (robust design), in the effort is optimal overall of or response. Applying method merging between inner arrays and outer arrays in one matrixes designs so-called combined arrays can close over insuffiency from products arrays. Taguchi based on the design made by response model as design of experiments integration Taguchi with method of surface of response ( RSM), then determine valuation mean response variance and response based on the response model appraiser. Some bottoms design of experimentses evaluated by using criteria Variance dispersion graphs (VDGs) with amount of appropriate experiment. Application earnings yield indicate that modified CCD have variance slope compared is smaller with bottom design MR. But, from Prediction scale earnings yield Variansi Residual maximum and the average of design augmented MR compared by is smaller modified CCD. So that design augmented MR consider as effort cost effective and time, because amount of point of small relative experiment. However in general both the design is proper consider, if paying attention to earnings yield from minimum variance..  Keyword:Robust-Variance-Dispersion-Graphs ( VDGs), multirespon, combined-array,
PENENTUAN NILAI EKSAK DARI HARGA OPSI TIPE EROPA DENGAN MENGGUNAKAN MODEL BLACK-SCHOLES Irwan Irwan
Teknosains Vol 7 No 1 (2013): JANUARI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v7i1.69

Abstract

This writing aims to analyze model black-scholes in the determination of the value of inexact from the price of an option type europe as well as simulasinya. The data used is information call option and put option for closing as well as the closing price ( price ) shares barnes group inc. The first thing is done by searching volatility stock prices to call option and put option. Based on the result analysis inexact terhadap the ordinal value from the price of call option and put option to use the model of black-scholes obtained the price of fair to call option is as much as $ 3.4940, on the circumstances of this the seller and buyer call option for achieving the break-even point. To put or libya option is as much as $ 0.0329, on the circumstances of it ' s called out of the money where a put option zero-sum and will not be executed. Next simulation model black-scholes in the determination of the value of inexact from the price call option and put option. The results of the simulation concluded that the longer time left to maturity hence the higher the price of an option.
EVALUASI RANCANGAN EKSPERIMEN PADA MODEL PERMUKAAN MULTIRESPON YANG MELIBATKAN FAKTOR NOISE Irwan -
Teknosains Vol 5 No 1 (2011): JANUARI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v5i1.184

Abstract

This article aim to study process design having the character of steady (robust design), in the effort is optimal overall of or response. Applying method merging between inner arrays and outer arrays in one matrixes designs so-called combined arrays can close over insuffiency from products arrays. Taguchi based on the design made by response model as design of experiments integration Taguchi with method of surface of response ( RSM), then determine valuation mean response variance and response based on the response model appraiser. Some bottoms design of experimentses evaluated by using criteria Variance dispersion graphs (VDGs) with amount of appropriate experiment. Application earnings yield indicate that modified CCD have variance slope compared is smaller with bottom design MR. But, from Prediction scale earnings yield Variansi Residual maximum and the average of design augmented MR compared by is smaller modified CCD. So that design augmented MR consider as effort cost effective and time, because amount of point of small relative experiment. However in general both the design is proper consider, if paying attention to earnings yield from minimum variance..  Keyword:Robust-Variance-Dispersion-Graphs ( VDGs), multirespon, combined-array,
APLIKASI ANALISIS CLUSTER DALAM MENGELOMPOKKAN KECAMATAN BERDASARKAN FAKTOR PENYEBAB PENDUDUK BUTA AKSARA DI KABUPATEN JENEPONTO Irwan -
Teknosains Vol 8 No 3 (2014): Desember
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v8i3.1833

Abstract

Tulisan ini membuat tentang pengelompokan kecamatan berdasarkan faktor penyebab penduduk buta aksara di kabupaten Jeneponto dengan aplikasi analisis cluster. Jenis faktor yang mempengaruhi penduduk buta aksara yakni faktor ekonomi, budaya dan geografis.Pengumpulan data dilakukan dengan cara survey melalui penggunaan kuesioner sebagai instrument penelitian. Sampel yang dilibatkan sebanyak 200 orang dengan teknik pengambilan sampelnya Proporsional Random Sampling. Data dianalisis dengan menggunakan teknik Hierarchical. Hasil penelitian menunjukkan bahwa faktor yang menyebabkan penduduk buta aksara yang paling banyak di Kabupaten Jeneponto yaitu faktor ekonomi di antara sebelas kecamatan. Adapun kecamatan yang paling banyak penduduk buta aksaranya yang disebabkan dari faktor ekonomi yakni kecamatan Binamu.
ANALISIS STRUCTURAL EQUATION MODELLING DAN TERAPANNYA Irwan Irwan; Aditya Idris
Teknosains Vol 8 No 2 (2014): JULI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v8i2.1846

Abstract

Structural Equation Modeling ( SEM ) is a multivariate analysis were used to analyze the relationship between variables in a complex manner. University libraries in higher education has a vital role. University libraries can be said to be at the heart of higher education, as it became a major contributory factor for the implementation of Tri Dharma Perguruan Tinggi. Quality of service at the library is very important to the success of service is realized as a library service. This study aims to determine the SEM parameter estimation using Maximum Likelihood as well as to analyze the effect of variable quality and relationship marketing in relation to satisfaction, trust and loyalty student UIN Alauddin Makassar students. This study was conducted by questionnaire, the data obtained by distributing questionnaires to 116 respondents. The population in this study was student UIN Alauddin Makassar. The sampling method used was Accidental Sample.Quality of service at UIN Alauddin Makassar Library does not have a significant effect on student satisfaction and confidence, while relationship marketing is done by the Library of UIN Alauddin Makassar in fact have a significant effect on student satisfaction and confidence UIN. From the calculation of the index Loyalty student UIN UIN Alauddin Makassar Library by 86%. For the lowest level of this calculation is that the satisfaction index of 65%. And for the student confidence index value of UIN Alauddin Makassar Library by 70%. The third variable is measured by the quality of services and relationship marketing carried out in the UIN Alauddin Makassar Library.
METODE PARTIAL LEAST SQUARE (PLS) DAN TERAPANNYA (Studi Kasus: Analisis Kepuasan Pelanggan terhadap Layanan PDAM Unit Camming Kab. Bone) Irwan Irwan; Khaeryna Adam
Teknosains Vol 9 No 1 (2015): JANUARI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v9i1.1856

Abstract

Water is primer necessity of human. The needs of clean wateralways increasingly through the time. PDAM or district water supplycompany as a local company that have duty to distribute clean water for thepeoples need to increasing the serve quality for the satisfied of customer.Theaim of this research is to know the influence of PDAM Unit Camming forthe satisfied of customer.Method that used to survey the customer satisfied isSERVQUAL method (Service Quality) that have 5 dimension, such as:Tangible, Reliability, Responsiveness, Assurance, and Emphaty.Analysismethod that used is Partial Least Square (PLS). Theresult of thisresearch is how the 5 dimension of SERVQUAL influence the satisfied ofPDAM Unit Camming customer. Wecan see the result in R square that getby smartPLS helped. Theresult showed 0,706. Its mean, the 5 dimension ofSERVQUAL can explain that 70,6% satisfied of PDAM Unit Cammingcustomer. However, there still have serve quality dimension that need torepair, such as responsiveness and tangible. Thistwo things must be repairedto increasing the serve of PDAM Unit Camming and also can increase thesatisfied of customer.
METODE PARTIAL LEAST SQUARE (PLS) DAN TERAPANNYA (Studi Kasus: Analisis Kepuasan Pelanggan terhadap Layanan PDAM Unit Camming Kab. Bone) Irwan Irwan; Khaeryna Adam
Teknosains Vol 9 No 1 (2015): JANUARI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v9i1.1856

Abstract

Water is primer necessity of human. The needs of clean wateralways increasingly through the time. PDAM or district water supplycompany as a local company that have duty to distribute clean water for thepeoples need to increasing the serve quality for the satisfied of customer.Theaim of this research is to know the influence of PDAM Unit Camming forthe satisfied of customer.Method that used to survey the customer satisfied isSERVQUAL method (Service Quality) that have 5 dimension, such as:Tangible, Reliability, Responsiveness, Assurance, and Emphaty.Analysismethod that used is Partial Least Square (PLS). Theresult of thisresearch is how the 5 dimension of SERVQUAL influence the satisfied ofPDAM Unit Camming customer. Wecan see the result in R square that getby smartPLS helped. Theresult showed 0,706. Its mean, the 5 dimension ofSERVQUAL can explain that 70,6% satisfied of PDAM Unit Cammingcustomer. However, there still have serve quality dimension that need torepair, such as responsiveness and tangible. Thistwo things must be repairedto increasing the serve of PDAM Unit Camming and also can increase thesatisfied of customer.
KUALITAS INPUT MAHASISWA BARU UIN ALAUDDIN MAKASSAR TAHUN 2014 Irwan Irwan
Teknosains Vol 10 No 1 (2016): JANUARI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v10i1.1876

Abstract

Ukuran kualitas dari suatu perguruaan tinggi tidak lepas darikualitas input-output institusi tersebut. Kualitas input menunjukkan variasipola-pola rekruitmen telah dilakukan untuk menjaring calon-calonmahasiswa yang potensial dari sisi akademik. Oleh karena itu, tujuanpenelitian ini adalah mendeskriptisikan kualitas input mahasiswa baru UINAlauddin Makassar berdasarkan asal sekolah, jalur masuk, fakultas danjenis kelamin dan mengetahui perbedaan kualitas input mahasiswa baruUIN Alauddin Makassar berdasarkan asal sekolah, jalur masuk, fakultasdan jenis kelamin. Untuk mencapai hal tersebut, digunakan sebanyak 4274mahasiswa baru tahun 2014 yang memiliki kelengkapan data memadaiberdasarkan data EMIS tahun 2014. Berdasarkan hasil penelitian diperolehbahwa kualitas input yang direpresentasikan dengan rata-rata IPKMahasiswa baru UIN Alauddin Makassar tahun 2014 diperoleh bahwarata-rata IPK Mahasiswa baru berdasarkan asal sekolah yang tertinggiadalah asal sekolah pesantren sebesar 3,58, berdasarkan Jalur masuk yangtertinggi adalah dari Jalur SBNPTN sebesar 3,48, berdasarkan fakultasadalah yang tertinggi adalah dari fakultas Tarbiyah dan Keguruan sebesar3,49. Kemudian berdasarkan jenis kelamin diperoleh rata-rata IPKmahasiswa baru untuk laki-laki sebesar 3,27 dan untuk perempuan sebesar3,44. Faktor asal sekolah, jalur masuk, fakultas mempunyai pengaruhterhadap tingkat rata-rata IPK Mahasiswa baru UIN Alauddin MakassarTahun 2014, sedangkan untuk jenis kelamin memberikan perbedaan yangnyata terhadap tingkat rata-rata IPK Mahasiswa baru UIN AlauddinMakassar Tahun 2014 antara laki-laki dan perempuan. Pengaruh faktorasal sekolah menunjukan perbedaan antara asal sekolah pesantren denganasal sekolah yang lain, sedangkan untuk antar asal sekolah yang lain adalahsama secara statistika. Selanjutnya untuk faktor jalur masuk ternyataSBNPTN dominan berbeda dengan jalur yang lain dengan nilai rata-rataIPK lebih tinggi dan berbeda dengan jalur lainnya berikut jalur SPAN danUM_PTAIN. Terakhir faktor fakultas menunjukkan bahwa fakultas Tarbiyahdan Keguruan lebih dominan dibandingkan dengan rata-rata IPKmahasiswa baru fakultas lainnya. Sedangkan secara keseluruhan maka ratarataIPK mahasiswa baru UIN Alauddin Makassar tahun 2014 berapa padakategori sedang.
PERBANDINGAN REGRESI RIDGE DAN PRINCIPAL COMPONENT ANALYSIS DALAM MENGATASI MASALAH MULTIKOLINEARITAS Irwan Irwan; Hasriani Hasriani
Teknosains Vol 10 No 2 (2016): JULI
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v10i2.1885

Abstract

Multiple linear regression said to be good if it statistic theassumptions such as: normality assumption, heteroskedastisity, an errordoes not undergo autocorrelation and not occour multicolinearity. On theassumption that problem often arise in the multiple linear regressionassumptions are not fulfilled multicolinearity. Multicollinearity is acondition in which the data of the observations of the independent variablesoccuror have a relationship that is likely to be high. This study aimed tocompare the appropriate method to over come multicollinearity betweenridge regression and principal component analysis. Comparison criteriaused both methods, the mean square error (MSE) and the coefficient ofdetermination (R2), from the data is the simulation with Microsoft Excelthen the analysis was performed, in order to obtain the data first using ridgeregression has a value of MSE of 0.02405 and R2 of 82.4%, while theprincipal component analysis MSE value of 14.14 and R2of 37.5% while thedata second using ridge regression MSE has a value of 0.00216 and R2 of96.9%, while the principal component analysis MSE values of 5.15 and R2 of69.5%. From these results it can be concluded that ridge regression methodis better used.
PEMODELAN JUMLAH KEMATIAN NEONATAL DI PROVINSI SULAWESI SELATAN MENGGUNAKAN REGRESI POISSON INVERSE GAUSSIAN Irwan Irwan; Wahidah Alwi; Nurhasanah Nurhasanah
Teknosains Vol 15 No 2 (2021): Mei-Agustus
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/teknosains.v15i2.17450

Abstract

Kematian neonatus adalah kematian bayi yang lahir hidup sampai dengan 28 hari sejak lahir. Angka kematian neonatal di Provinsi Sulawesi Selatan pada tahun 2018 masih cukup tinggi yaitu sebanyak 799 kasus. Oleh karena itu, diperlukan suatu analisis untuk mengetahui faktor-faktor apa saja yang berpengaruh signifikan terhadap jumlah kematian neonatus. Dalam penelitian ini, jumlah kematian neonatus dapat dimodelkan dengan menggunakan analisis regresi Poisson. Namun pada model ini terdapat masalah overdispersi sehingga analisis dilanjutkan dengan menggunakan analisis regresi Gaussian inverse Poisson sehingga diperoleh hasil hanya satu variabel yang berpengaruh signifikan terhadap jumlah kematian neonatus yaitu variabel persalinan ditolong oleh tenaga kesehatan (x〗_7)). Model regresi Gaussian inverse Poisson yang diperoleh untuk jumlah kematian neonatus di Provinsi Sulawesi Selatan tahun 2018 adalah μ̂=exp(4,97785−0,11603x7).