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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 Darma Agung DedikasiMU: Journal of Community Service SmartComp Jurnal Informatika: Jurnal Pengembangan IT Jukerdi: Jurnal Kewirausahaan Cerdas Dan Digital J-mace : Jurnal Penelitian METAL
Rais Rais
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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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ANALISIS KEAKTIFAN MAHASISWA JURUSAN MATEMATIKA FAKULTAS MIPA UNIVERSITAS TADULAKO DENGAN METODE MANN WHITNEY Harmila, D; Rais, Rais; Fadjryani, Fadjryani
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 12 No. 2 (2015)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.769 KB) | DOI: 10.22487/2540766X.2015.v12.i2.7903

Abstract

ANALISIS KEAKTIFAN MAHASISWA JURUSAN MATEMATIKA FAKULTAS MIPA UNIVERSITAS TADULAKO DENGAN METODE MANN WHITNEY
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (369.061 KB) | DOI: 10.22487/2540766X.2015.v12.i2.7904

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.882 KB) | DOI: 10.22487/2540766X.2015.v12.i2.7907

Abstract

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 – 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.341 KB) | DOI: 10.22487/2540766X.2015.v12.i2.7908

Abstract

PEMODELAN TIME SERIES DENGAN PROSES ARIMA UNTUK PREDIKSI INDEKS HARGA KONSUMEN (IHK) DI PALU – SULAWESI TENGAH
ANALISIS KORESPONDENSI UNTUK MELIHAT POLA HUBUNGAN FAKTOR – 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.374 KB) | DOI: 10.22487/2540766X.2017.v14.i1.8356

Abstract

ANALISIS KORESPONDENSI UNTUK MELIHAT POLA HUBUNGANFAKTOR – 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.219 KB) | DOI: 10.22487/2540766X.2018.v15.i1.10206

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (597.672 KB) | DOI: 10.22487/2540766X.2018.v15.i1.10207

Abstract

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 is  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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.512 KB) | DOI: 10.22487/2540766X.2018.v15.i2.11362

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (738.659 KB) | DOI: 10.22487/2540766X.2019.v16.i1.12757

Abstract

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.
Implementation of Radio Frequency Identification in Student Presence Applications with Multi Social Media Notification Nishom, M.; Wibowo, Dega Surono; Bakti, Very Kurnia; Rais, Rais
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 1 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i1.8341

Abstract

Radio-Frequency Identification or commonly called RFID is a technology that can be integrated into various softwares to increase operational efficiency and effectiveness. In an educational unit, one of the services that needs to be repaired or improved is recording student attendance. However, recording and monitoring student attendance in almost all educational units in Indonesia, and especially in Tegal City is still carried out conventionally, so that educational units cannot provide feedback to parents about their children's attendance in real time. This condition is the main basis for conducting this research. In this research, RFID technology was implemented into an desktop based application with the aim of making it easier for educational units to record student attendance automatically, and assisting schools in providing feedback about student attendance to parents through social media services (whatsapp or telegram) and increasing enthusiasm students in taking attendance. The method chosen for development is the waterfall method, this method ensures that all stages are carried out sequentially. The research application has been tested using the black box testing method, the test results indicate that the application functionality is running well.
Co-Authors A Amelia Abdul Basit Abdul Basit Afriza, Dini Aprilia Agusman Sahari Ahmad Maulana Andhini Permatasari Arfandi, Mohamad Rijal Arif Rahman Arif Rahman Arif Rakhman Basit, Abdul Bhakti, Very Kurnia Dairoh Dairoh David Bani Adam Dega Surono Wibowo, Dega Surono Denny Fauzi Dg. Pagiling, R K Dhestella Yosephina Aronggear 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 Leiwakabessy, Jeffry E.M. Lestawati, R Lilies Handayani M. Nishom Margareth, Cecilia Marice Yosefin Maniburi Mc Chambali Mietra Anggara Moh. Jusman Mohammad Fajri Muafiah Basir Muhamad Bakhar Nishom, M Nureni, Nureni Nurfajri Nurfajri, Nurfajri Nurokhim Nurokhim Rahmayani, R Ria Angela Rizqi Khoeruzzaman Safar Dwi Kurniawan Sahari, A Seftiani, W Sinaga, Novita Damayanti Slamet Wiyono 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 Yerry Febrian Sabanise Yunita, Silva Yunus Rahawarin Zemy Zemy ZK Abdurahman Baizal