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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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Journal : Natural Science: Journal of Science and Technology

 1 
ANALISIS REGRESI LOGISTIK BINER UNTUK MENGKLASIFIKASI PENDERITA HIPERTENSI BERDASARKAN KEBIASAAN MEROKOK DI RSU MOKOPIDO TOLI-TOLI Misna, Misna; Rais, Rais; Utami, Iut Tri
Natural Science: Journal of Science and Technology Vol 7, No 3 (2018): Volume 7 Number 3 (December 2018)
Publisher : Univ. Tadulako

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Abstract

Hipertensi adalah suatu penyakit yang disebabkan oleh peningkatan abnormal tekanan darah, baik tekanan darah sistolik maupun tekanan darah diastolik. Salah satu faktor resiko terjadinya hipertensi adalah kebiasaan merokok. Penelitian ini bertujuan untuk mendapatkan klasifikasi penderita hipertensi di RSU Mokopido Toli-toli dengan menggunakan regresi logistik biner. Variabel respon yang digunakan dalam penelitian yaitu hipertensi (Y) yang dikategorikan jadi dua kategori yaitu hipertensi dan tidak hipertensi. Variabel prediktor yang diteliti adalah kebiasaan merokok yang berupa lama merokok (X1), jumlah rokok yang dihisap (X2), jenis rokok yang dihisap (X3), cara menghisap rokok (X4), jenis kelamin (X5) dan usia (X6). Dari hasil penelitian menunjukkan bahwa faktor-faktor yang mempengaruhi penderita hipertensi adalah lama merokok (X1), jenis rokok yang dihisap (X3) dan cara menghisap rokok (X4). Persamaan regresi logistik biner dengan fungsi logit yang dihasilkan adalah g(x) = 0,981+ 2,478X1- 2,364X3+1,549X4 . Nilai ketepatan klasifikasi penderita hipertensi dengan menggunakan analisis regresi logistik biner yaitu sebesar 77,6%
PENERAPAN ANALISIS MULTIDIMENSIONAL SCALING (MDS) PADA PEMETAAN KABUPATEN/KOTA DI PROVINSI SULAWESI TENGAH BERDASARKAN INDIKATOR TENAGA KESEHATAN Islami, Mira Bela; Rais, Rais; Handayani, Lilies
Natural Science: Journal of Science and Technology Vol 8, No 2 (2019): Volume 8 Number 2 (August 2019)
Publisher : Univ. Tadulako

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Abstract

Health workers is any person who dedicates theirself in the health sector and have knowledge, skills and authority to make health efforts. The lack number of health workers or the univen distribution of health workers is a problem that often occurs in each region. This research will use the method  of multidimensional scaling in mapping districts / cities in Central Sulawesi Province based on indicators of health workers. The results obtained are formed in to 4 groups of districts/cities that have similarities among its members but different from other groups. In the group 1 is Palu, Group 2 contained Parigi Moutong districts. In the group 3 consists of Banggai, Poso, Sigi and Toli-Toli Districts. In the group 4 consist of Tojo Una-una, Morowali, Donggala, Morowali Utara, Banggai Laut, Buol, and Banggai Islands. Stress value obtained is 4.354% and the value of R^2 is 99.568%, which indicates that the data used can be mapped properly.
ANALISIS KONJOIN UNTUK MENENTUKAN PREFERENSI MAHASISWA MATEMATIKA FMIPA UNIVERSITAS TADULAKO DALAM MEMILIH HANDPHONE (HP) Amelia, A; Rais, Rais; Nur'eni, Nur'eni
Natural Science: Journal of Science and Technology Vol 4, No 1 (2015): Volume 4 Number 1 (March 2015)
Publisher : Univ. Tadulako

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Abstract

Alat komunikasi dari tahun ke tahun mengalami perkembangan yang sangat signifikan. Salah satunya yang sangat berperan penting bagi kehidupan manusia yaitu handphone (HP). Untuk itu setiap perusahaan HP pasti ingin mengetahui gambaran produk yang paling banyak diminati oleh konsumen sehingga produk mereka bisa laku di pasaran. Adapun salah satu metode yang dapat digunakan untuk mengetahui kesukaan konsumen pada suatu produk adalah analisis konjoin. Analisis konjoin digunakan untuk membantu mendapatkan kombinasi atau komposisi faktor-faktor berupa atribut suatu produk atau jasa baik baru maupun lama yang paling disukai konsumen dengan menghitung Nilai Kegunaan Taraf (NKT) dan Nilai Relatif Penting (NRP). Hasil yang diperoleh menurut preferensi Mahasiswa FMIPA Universitas Tadulako yang memiliki nilai NRP paling tinggi yaitu merek HP (33,734%). Sedangkan konsep produk HP yang paling disukai mahasiswa yaitu HP dengan merek blackberry dengan harga antara Rp 2.000.000 sampai Rp 2.500.000, bergaransi distibutor dengan model navigasi qwerty, menggunakan layanan jaringan 3,5 G dan resolusi kamera 5 MP.
METODE DEKOMPOSISI MULTIPLIKATIF RATA-RATA BERGERAK UNTUK PERAMALAN TINGKAT PRODUKSI PADI LADANG SULAWESI TENGAH Kadoena, Faldi Christiawan; Rais, Rais; Handayani, Lilies
Natural Science: Journal of Science and Technology Vol 8, No 2 (2019): Volume 8 Number 2 (August 2019)
Publisher : Univ. Tadulako

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Abstract

Field rice is a rice plants that is planted in a sedentary or shifting location. This study aims to forecast field rice production using the Multiplicative Decomposition method of moving average, and to determine the size of forecasting accuracy using Tracking signal, data used is the data from Central Sulawesi Province Field rice production in 2008-2016 obtained from the Agriculture Service of Central Sulawesi Province The research procedure is begun by analyzing the components of decomposition, namely the components of trend (T), seasonal (S), cyclic (C) and random components (I) then multiplies the value of these components. Forecasting results using the decomposition method helping by the Minitab 18 application in 2017 show that the pattern of the data contains a declining trend with the equation Yt = 1895.60 - 7.97 × t, and has a strong seasonal pattern with the expected pattern of data that increases or decreases in certain months such as March, April, August and December. The forecasting results obtained are at the control limit of Tracking signal which is between -4 to +4 that means the forecasting of rice production in the province of Central Sulawesi in 2017 using the moving average Multiplicative Decomposition method is valid
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