Article Per Year (5 Year)
p-Index From 2021 - 2026
1.671
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Keteknikan Pertanian Tropis dan Biosistem BAREKENG: Jurnal Ilmu Matematika dan Terapan PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal RESISTOR (Rekayasa Sistem Komputer) KOMPUTIKA - Jurnal Sistem Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Journal Focus Action of Research Mathematic (Factor M) Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi Scientica: Jurnal Ilmiah Sains dan Teknologi Engagement: Jurnal Pengabdian Kepada Masyarakat
Aris Fanani
Institut Teknologi Sepuluh Nopember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
PEMODELAN ARUS LALU LINTAS DAN WAKTU TUNGGU TOTAL OPTIMAL DI PERSIMPANGAN JL. JEMUR ANDAYANI AHMAD YANI SEBAGAI UPAYA MENGURAI KEMACETAN Farida, Yuniar; Fanani, Aris; Purwanti, Ida; Wulandari, Luluk; Zaen, Nanida Jenahara
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 3 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (958.491 KB) | DOI: 10.30598/barekengvol14iss3pp387-396

Abstract

One crossroad of ​​Surabaya whose high level of congestion is the crossing of Jemur Andayani – Ahmad Yani Street. It needs to Improve traffic management, geometric, and signal time to obtain optimal traffic performance. The purpose of this study is to make a model of traffic flow and determine the optimal total waiting time at the crossing of Jemur Andayani – Ahmad Yani using Compatible Graph. Compatible graphs are two sets where vertices indicate objects to be arranged and edges indicate compatible pairs of objects. Compatible traffic flow is two traffic flows which if both of them run simultaneously can run safely and not collide. The results of the optimal waiting time calculation using a compatible graph assuming the left turn following the lamp is 75 seconds. While the optimal total waiting time by assuming the left turn not following the lights is 60 seconds. The optimal total waiting time is smaller than the actual total waiting time currently applied at Frontage Ahmad Yani street, which is 170 seconds by assuming turn left following the lights.
IMPLEMENTASI ALGORITMA WELCH-POWELL PADA PEWARNAAN GRAF WILAYAH DI KALIMANTAN TIMUR Nur Aulia, Shofinatul Wahdah; Inayah, Jauharotul; Imron, M.; Fanani, Aris
Jurnal Spasial Vol 11, No 4 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i4.9913

Abstract

Graph theory is a branch of mathematical study that studies the relationship of a non-empty set which contains several elements called vertices and a list of paired elements called edges. Graph coloring is a technique of adding color to every point on a graph. The purpose of this study is to make it easier for map readers to distinguish each region on a map of East Kalimantan Province. This study implements graph coloring using the Welch-Powell algorithm method which colors the graph based on the highest degree of the end point. This study resulted in graph coloring on the East Kalimantan map obtaining a chromatic number X(G) = 3 in red for the Kutai Kartanegara, Paser, and Berau regions, then blue for the North Penajam Paser, Mahakam Ulu, Botang, and Samarinda regions, and the color green for West Kutai, East Kutai and Balikpapan.
OPTIMAL CONTROL ANALYSIS OF HIV/AIDS DISEASE SPREAD MODEL IN INDONESIA Utami, Wika Dianita; Dzaky, Ahmad Naufal; Fanani, Aris
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp0707-0716

Abstract

The Human Immunodeficiency Virus (HIV) is a contagious virus that weakens the immune system of infected individuals, making them more susceptible to various diseases. These individuals are referred to as those exposed to the AIDS disease, which unfortunately, cannot be cured. To effectively manage AIDS, prevention is crucial in slowing down the spread and growth of the HIV virus. Mathematical modeling can play a significant role in the optimal control of AIDS. In this study, the , , , , model with three different optimal controls were employed. Optimal control involves public health education campaigns, screening, and treatment. The goal is to minimize the number of individuals infected with HIV/AIDS using Pontryagin's Maximum Principle. This principle considers various factors, such as population class coefficients, cost weights, and control variables to determine the most effective approach. The simulation results indicate that counseling control in the exposed population class ( ) yields better outcomes compared to counseling control in the susceptible class and treatment control in the HIV-infected population class. This implies that focusing on educating and counseling individuals who are exposed to HIV can be more efficient in AIDS control than targeting those already infected or at risk. By applying these optimal control strategies, it may be possible to mitigate the impact of HIV/AIDS and improve public health outcomes.
Prediksi Hasil Ujian Nasional Siswa Menengah Atas : Pendekatan Data Mining Laili, Ummiy Fauziah; Prima, Putra; Fanani, Aris; Montolalu, Billy
Journal Focus Action of Research Mathematic (Factor M) Vol. 3 No. 1 (2020)
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/factor_m.v3i1.2450

Abstract

Pemerintah Indonesia menggunakan Nilai Ujian Nasional (NUN) digunakan sebagai standar nasional untuk mengukur keberhasilan siswa. Dengan menggunakan NUN sebagai parameter untuk mengukur tingkat keberhasilan siswa akan ada resiko yang sangat besar jika siswa gagal dalam menjalani Ujian Nasional (UN), oleh karena itu dibutuhkan sebuah model untuk melakukan prediksi terhadap NUN siswa sehingga dapat dilakukan usaha pencegahan terhadap gagalnya siswa dalam UN. Pada paper ini diusulkan sebuah metode untuk melakukan prediksi terhadap NUN siswa dengan menggunakan neuro fuzzy. Data yang digunakan dalam penelitian ini adalah nilai rapor siswa, dan nilai IQ siswa. Pada penelitian ini digunakan tiga mata pelajaran sebagai subjek penelitian yaitu Matematika, Bahasa Indonesia dan Bahasa Inggris.Berdasarkan hasil pengujian yang dilakukan menunjukkan bahwa metode neuro fuzzy dengan menggunakan data nilai dan data IQmemberikan akurasi prediksi terbaik pada mata pelajaran matematika sebesar 74%.
Prediksi Distribusi Air Perusahaan Daerah Air Minum (PDAM) Tirta Dharma Kota Pasuruan Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation Agustina, Dwi; Hafiyusholeh, Moh.; Fanani, Aris; Prasetijo, Dono
Jurnal PROCESSOR Vol 18 No 1 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.1.697

Abstract

Every human being has the right to use clean water which is the most important resource for daily needs. The author wants to predict PDAM water distribution using the backpropagation neural network method, so that it can help PDAM Tirta Dharma Pasuruan city to find out the estimated water distributed to customers for the next period. This research was conducted using water distribution data obtained directly from PDAM Pasuruan City from January 2019 to December 2021. The architectures used in this study are 4-2-1, 4-4-1, and 4-8-1, with architectures the best is 4-2-1, which has an accuracy rate of 100%, a learning rate of 0.1, a target error of 0.001, and a maximum epoch of 1000. The number of predictions for the distribution of water in PDAM Tirta Dharma, Pasuruan City in 2022 was 6,829,056, in 2023 there were 6,865. 358, in 2024 there will be 6,867,817, and in 2025 there will be 6,868,785.
Perbandingan Reduksi Fitur pada Klasifikasi Coronary Artery Disease menggunakan Metode RNN Sari, Yana Vita; Fanani, Aris; Novitasari, Dian Candra Rini
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 16 No. 2 (2025): JURNAL SIMETRIS VOLUME 16 NO 2 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v16i2.12328

Abstract

Coronary Artery Disease (CAD) merupakan kondisi ketika arteri coroner mengalami penyempitan atau penyumbatan yang dapat menjadi pemicu penyakit kardiovaskular dan berujung pada kematian. Oleh karena itu, perlu adanya penanganan yang tepat oleh tenaga medis yang diawali dengan proses diagnosis CAD untuk menilai kesehatan dan kondisi arteri. Diagnosis CAD dapat dilakukan berdasarkan klasifikasi menggunakan metode Recurrent Neural Network (RNN). RNN memiliki kemampuan untuk mempertahankan dan menggunakan informasi sebelumnya dalam pengambilan keputusan. Pada penelitian ini terdapat 30 fitur sehingga dilakukan reduksi fitur untuk meningkatkan kinerja model RNN. Tujuan dari penelitian ini untuk memperoleh model optimal dan mengetahui kefefektifan metode PCA dan ReliefF untuk reduksi fitur pada sistem klasifikasi. Uji coba dilakukan dengan uji coba pembagian data, learning rate, dan node hidden. Model optimum diperoleh pada k-fold 10, node hidden 200, dan learning rate 0.01 pada penggunaan metode ReliefF dengan fitur yang relevan sebanyak 26 diperoleh akurasi 88.42%, sensitivitas 90.82%, dan spesifisitas 86.09%.
Co-Authors Abdulloh Hamid Alfirdausy, Roudlotul Jannah Aliyyah, Izzatul Dwi Agustina Dzaky, Ahmad Naufal Fatmah Fatmah Hakim, Moch Rizki Kurniawan Hapsari, Nabilla Windy Himami, Fatikul Iksan Inayah, Jauharotul laili, ummiy Fauziah Laili, Ummiy Fauziyah LULUK WULANDARI M Mahaputra Hidayat M. Imron Maghfiroh, Wardatul Maulana, Achmad Resnu Moh. Hafiyusholeh Moh. Syaeful Bahar Mohammad Nasir, Mohammad Montolalu, Billy Nur Aulia, Shofinatul Wahdah Nurissaidah Ulinnuha Prasetijo, Dono Purwanti, Ida Putra Prima Putroue Keumala Intan Sari, Dian Candra Rini Novita Sari, Yana Vita Sufriyah, Lailiyatus Wahyunanto Agung Nugroho Wardani, Susilo Ari Wika Dianita Utami Yuliati, Dian Yuniar Farida Yusuf Hendrawan Zaen, Nanida Jenahara