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All Journal TEKNOLOGI INFORMASI J-SAKTI (Jurnal Sains Komputer dan Informatika) DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Dhebys Suryani Hormansyah, Dhebys Suryani
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Social Sciences

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PENGGUNAAN VISSIM MODEL PADA JALUR LALU LINTAS EMPAT RUAS Hormansyah, Dhebys Suryani; Sugiarto, Very; Amalia, Eka Larasati
JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi VOL 7 NO 1 Tahun 2016
Publisher : JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi

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Abstract

Penggunaan simulasi lalu lintas adalah salah satu pendekatan yang paling banyak digunakan untuk mengukur keakuratan dari sebuah simulasi dengan kondisi nyata pada lalu lintas. VISSIM merupakan software simulasi yang digunakan oleh profesional untuk membuat simulasi dari skenario lalu lintas yang dinamis sebelum membuat perencanaan dalam bentuk nyata. Pada penelitian ini , VISSIM digunakan untuk membangun sebuah simulasi pada perempatan di kota Malang tepatnya pada Jl.Bandung. Sebelum melakukan perbandingan dengan kondisi nyata dilapangan, pembuatan simulasi ini bertujuan untuk membangun sebuah prototype simulasi pada sebuah perempatan jalan raya yang mempunyai karakteristik sama dengan Jl. Bandung. Kata kunci: Simulasi, Simulasi Lalu Lintas,VISSIM, VISSIM Model
Implementasi Multilayer Perceptron Untuk Memprediksi Harapan Hidup Pada Pasien Penyakit Kardiovaskular Sabilla, Wilda Imama; Vista, Candra Bella; Hormansyah, Dhebys Suryani
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.425

Abstract

Cardiovascular disease is one of the leading causes of death in the world. The risk of death is important to predict to determine treatment or behavior and lifestyle changes in cardiovascular patients. Medical record data of cardiovascular patients can be used as input in predicting life expectancy. This study offers the construction of a life expectancy prediction system for cardiovascular patients. Prediction using multilayer perceptron method by testing various scenarios. In addition, feature selection methods, namely correlation based filter (CBF), linear discriminant analysis (LDA), and principal component analysis (PCA) are applied to obtain relevant features to improve classification performance. Based on the experiments conducted, the average accuracy using CBF and LDA feature selection is 84% and 84.7%, respectively. In the best trial, CBF is able to produce accuracy, precision, recall, and f-measure with value of 91.7% 85% 89.5% and 87.2%. Based on these results, it can be concluded that this prediction system is able to provide fairly accurate results
Implementasi Multilayer Perceptron Untuk Memprediksi Harapan Hidup Pada Pasien Penyakit Kardiovaskular Sabilla, Wilda Imama; Vista, Candra Bella; Hormansyah, Dhebys Suryani
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.425

Abstract

Cardiovascular disease is one of the leading causes of death in the world. The risk of death is important to predict to determine treatment or behavior and lifestyle changes in cardiovascular patients. Medical record data of cardiovascular patients can be used as input in predicting life expectancy. This study offers the construction of a life expectancy prediction system for cardiovascular patients. Prediction using multilayer perceptron method by testing various scenarios. In addition, feature selection methods, namely correlation based filter (CBF), linear discriminant analysis (LDA), and principal component analysis (PCA) are applied to obtain relevant features to improve classification performance. Based on the experiments conducted, the average accuracy using CBF and LDA feature selection is 84% and 84.7%, respectively. In the best trial, CBF is able to produce accuracy, precision, recall, and f-measure with value of 91.7% 85% 89.5% and 87.2%. Based on these results, it can be concluded that this prediction system is able to provide fairly accurate results
Pengembangan Aplikasi Dan Pelatihan Sistem Informasi TPQ Madinah Ma’arif 10 An-Nur Kota Malang Wakhidah, Rokhimatul; Affandi, Luqman; Shoumi, Milyun Ni'ma; Kirana, Annisa Puspa; Hormansyah, Dhebys Suryani; Arief, Sofyan Noor
DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 6 No 1 (2022)
Publisher : Politeknik Negeri Madiun

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Abstract

Advances in information technology have a major impact on the use of technology in various fields, one of which is education. Information technology is used as a means to simplify the teaching and learning process to the management of educational institutions. Almost all educational institutions have utilized information technology, one of which is the application of an integrated information system to handle administrative affairs of educational institutions. TPQ Madinah Ma'arif 10 An-Nur is one of the TPQ that has implemented advances in information technology. This is reflected in the use of value input information systems and the printing of student report cards. Over time, this feature has not met the needs of the management in carrying out TPQ operational activities. TPQ institutions do not yet have a system that handles the presence of students. And there is no system that handles the recording of payments
Co-Authors Annisa Puspa Kirana Ariadi Retno Tri Hayati Ririd Astiningrum, Mungki Asyraq, Farhan Azharuddin Aulia, Indinabilah Candra Bella Vista Eka Larasati Amalia Faisal Rahutomo Ilmi, Muhammad Fikrul Luqman Affandi Pribadi, Dedy Teguh Rokhimatul Wakhidah Shoumi, Milyun Ni’ma Sofyan Noor Arief Utama, Yoga Putera Very Sugiarto, Very Wilda Imama Sabilla