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All Journal Natural Science: Journal of Science and Technology JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI CESS (Journal of Computer Engineering, System and Science) Prosiding Seminar Nasional IPTEK Terapan (SENIT) 2016 Pengembangan Sumber Daya Lokal Berbasis IPTEK JURNAL ILMIAH MATEMATIKA DAN TERAPAN Syntax Literate: Jurnal Ilmiah Indonesia BAREKENG: Jurnal Ilmu Matematika dan Terapan JMM (Jurnal Masyarakat Mandiri) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Buletin Ilmiah Sarjana Teknik Elektro Jurnal Varian Jurnal Darma Agung Jurnal Pengabdian kepada Masyarakat Nusantara DedikasiMU: Journal of Community Service Jeinsa : Jurnal Ekonomi Ichsan Sidenreng Rappang SmartComp Jurnal Informatika: Jurnal Pengembangan IT Jukerdi: Jurnal Kewirausahaan Cerdas Dan Digital J-mace : Jurnal Penelitian METAL

Rais Rais

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Author-ID : 356586

Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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PERBANDINGAN ANALISIS DISKRIMINAN DAN K-NEAREST NEIGHBOR (KNN) UNTUK MENGKLASIFIKASIKAN PENDERITA PENYAKIT Nurfajri, Nurfajri; Rais, Rais; Tri Utami, I
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 12 No. 2 (2015)
Publisher : Program Studi Matematika, Universitas Tadulako

PERBANDINGAN ANALISIS DISKRIMINAN DAN K-NEAREST NEIGHBOR (KNN) UNTUK MENGKLASIFIKASIKAN PENDERITA PENYAKIT

ANALISIS SISTEM ANTRIAN CALON PENUMPANG LION AIR DI BANDAR UDARA MUTIARA SIS AL-JUFRI PALU Vitasari, V R; Rais, Rais; Sahari, A
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 12 No. 2 (2015)
Publisher : Program Studi Matematika, Universitas Tadulako

ANALISIS SISTEM ANTRIAN CALON PENUMPANG LION AIR DI BANDAR UDARA MUTIARA SIS AL-JUFRI PALU

PEMODELAN TIME SERIES DENGAN PROSES ARIMA UNTUK PREDIKSI INDEKS HARGA KONSUMEN (IHK) DI PALU â€“ SULAWESI TENGAH Wigati, Y; Rais, Rais; Utami, I T
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 12 No. 2 (2015)
Publisher : Program Studi Matematika, Universitas Tadulako

PEMODELAN TIME SERIES DENGAN PROSES ARIMA UNTUK PREDIKSI INDEKS HARGA KONSUMEN (IHK) DI PALU â€“ SULAWESI TENGAH

ANALISIS KORESPONDENSI UNTUK MELIHAT POLA HUBUNGAN FAKTOR â€“ FAKTOR ALASAN MAHASISWA TERHADAP PEMILIHAN JURUSAN MATEMATIKA DI FMIPA UNTAD Rahmayani, R; Rais, Rais; Utami, I T
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 14 No. 1 (2017)
Publisher : Program Studi Matematika, Universitas Tadulako

ANALISIS KORESPONDENSI UNTUK MELIHAT POLA HUBUNGANFAKTOR â€“ FAKTOR ALASAN MAHASISWA TERHADAPPEMILIHAN JURUSAN MATEMATIKA DI FMIPA UNTAD

PERBANDINGAN ANTARA METODE CART (CLASSIFICATION AND EGRESSION TREE) DAN REGRESI LOGISTIK (LOGISTIC REGRESSION) DALAM MENGKLASIFIKASIKAN PASIEN PENDERITA DBD (DEMAM BERDARAH DENGUE) Lestawati, R; Rais, Rais; Utami, I T
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 15 No. 1 (2018)
Publisher : Program Studi Matematika, Universitas Tadulako

Classification 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 hepatomegaly

APLIKASI REGRESI KUANTIL PADA KASUS DBD DI KOTA PALU SULAWESI TENGAH Idris, N; Rais, Rais; Utami, I T
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 15 No. 1 (2018)
Publisher : Program Studi Matematika, Universitas Tadulako

Palu 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 isÂ the frequency of rainy day because it has positive which means that 1 progress of percentage will increase the quantity of DBD case.

SIMULASI PENANGANAN PENCILAN PADA ANALISIS REGRESI MENGGUNAKAN METODE LEAST MEDIAN SQUARE (LMS) Tusilowati, Tusilowati; Handayani, L; Rais, Rais
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 15 No. 2 (2018)
Publisher : Program Studi Matematika, Universitas Tadulako

The 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.

ANALISIS KLASTER PAUTAN LENGKAP UNTUK MENGELOMPOKKAN KABUPATEN/KOTA DI PROVINSI SULAWESI TENGAH BERDASARKAN INDIKATOR KRIMINALITAS Utami, I T; Rais, Rais; Seftiani, W
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 16 No. 1 (2019)
Publisher : Program Studi Matematika, Universitas Tadulako

Criminality is all kinds of actions and deeds which is economically and psychologically harmful. The statistical method could be used to classify the crime is cluster analysis. Cluster analysis is a multivariate method which aims to classify a sample of subjects (or objects) on the basis of a set of measured variables into a number of different groups such that similar subjects are placed in to the same group. The objective of this research is to classify Regency/City in Central Sulawesi Province based on the criminality indicator and to discover the profile of each cluster which had been formed. The results of the study shows that those are two clusters formed: Cluster 1 consists of Buol, Banggai, Morowali, Toli-Toli, Donggala, and Tojo Una-Una Regency; Cluster 2 consists of Regency/Palu City, and Parigi Moutong. The profile of each cluster is: Cluster 1 with low crime rate on average and Cluster 2 with high crime rate on average.Keywords : Cluster Analysis, Complete Linkage, Criminality, Hierarchy Method.

Co-Authors A Amelia Abdul Basit Afriza, Dini Aprilia Agusman Sahari Ahmad MAULANA Amal, Amal Arfandi, Mohamad Rijal Arif Rahman Arif Rahman Arif Rakhman Aronggear, Dhestella Yosephina Bhakti, Very Kurnia Dairoh Dairoh David Bani Adam Dega Surono Wibowo, Dega Surono Denny Fauzi Dg Mabaji, Siti Natazha Dg. Pagiling, R K Eko Budihartono, Eko Eliani Eliani Fadjryani, Fadjryani Fandi, Ahmad Firda Septiana Sanar Fitri, Yuhelni Gamayanti, Nurul Fiskia Haeril Haeril Handayani, L Harmila, D Hartayuni Sain Hemenius R Solossa Humam, M. Ida Afriliana Ida Ayu Putu Sri Widnyani Idris, N Ijel, Ijel Iman Setiawan Islami, Mira Bela Iut Tri Utami Junaidi Junaidi Juni Wantoro Kadoena, Faldi Christiawan Khoeruzzaman, Rizqi Krisdiyawati Krisdiyawati, Krisdiyawati Kurnia Bakti, Very Leiwakabessy, Jeffry E.M. Lestawati, R Lilies Handayani Maniburi, Marice Yosefin Margareth, Cecilia Maulidah, Hikmatul Mc Chambali Mietra Anggara Moh. Jusman Mohammad Fajri Muafiah Basir Muhamad Bakhar Muhtar Muhtar Muskita, Susana Magdalena Welly Nishom, M Nureni, Nureni Nurfajri Nurfajri, Nurfajri Nurokhim Nurokhim Permatasari, Andhini Rahman Jati, Shalsa Yunita Rahmayani, R Ria Angela Rizwan Arisandi, Rizwan Safar Dwi Kurniawan Sahari, A Seftiani, W Sinaga, Novita Damayanti Soumokil, Tontji Sulasmoro, Arfan Haqiqi Susana Magdalena Welly Muskita Tri Utami, I Tusilowati, Tusilowati Utami, I T Very Kurnia Bakti, Very Kurnia Vianna Syahrina Salam Vitasari, V R Wigati, Y Wildani Eko Nugroho, Wildani Eko Winarti Winarti Wiyono, Slamet Wulansari Kus, Rr Retno Yerry Febrian Sabanise Yunita, Silva Yunus Rahawarin Yusri Yusri Zemy, Zemy ZK Abdurahman Baizal

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