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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika Reaktom : Rekayasa Keteknikan dan Optimasi
Imamatul Ummah
Fakultas Teknik Universitas Hasyim Asy’ari Jombang Indonesia
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mathematics

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Optimal Control Model Pemanenan Prey-Predator di Area Konservasi Ikan Yunita Nur Afifah; MNH Qomarudin; Imamatul Ummah
Buana Matematika : Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 10 No 1 (2020)
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3447.397 KB) | DOI: 10.36456/buanamatematika.v10i1.2410

Abstract

The longer the fish population will decrease or experience extinction due to continuous fishing by humans. Conservation areas are needed as an effort to maintain the marine ecosystem and avoid extinction. The dynamics stability of the model can be seen from the equilibrium point. So that the application of mathematics can be used to make prey-predator population dynamics models and determine ways to optimize fish harvesting. The mathematical model is divided into three populations and in two different areas. To get maximum harvesting (E), use the Pontryagin Maximum Principle. So that the maximum benefit obtained when harvesting is 0.77 to 0.95.
PREDIKSI JUMLAH TANGKAP IKAN DI PELABUHAN PERIKANAN NUSANTARA BRONDONG MENGGUNAKAN FUZZY TIME SERIES MODEL CHEN Ummah, Imamatul; Izzati, Nailul
Reaktom : Rekayasa Keteknikan dan Optimasi Vol 3 No 2 (2018)
Publisher : Universitas Hasyim Asy'ari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/reaktom.v3i2.333

Abstract

AbstrakBerdasarkan data jumlah tangkap ikan di Pelabuhan Perikanan Nusantara (PPN) Brondong, menunjukkanbahwa rata-rata jumlah tangkap ikan selama 11 tahun terakhir sejumlah 65017 ton pertahun. Pada tahun2016 jumlah tangkap ikan sebesar 66179 ton dan terjadi kenaikan yang sangat signifikan pada tahun 2017sejumlah 130742 ton. Data tersebut jelas sangat mengkhawatirkan, karena terjadi overfishing yang dapatmengakibatkan populasi ikan semakin berkurang. Pada penelitian ini dilakukan prediksi jumlah tangkapikan yang ada di Pelabuhan Perikanan Nusantara (PPN) Brondong guna mengontrol jumlah tangkap ikan,untuk membantu program pemerintah dalam mengelola hasil laut. Pada penelitian ini menggunakanmetode fuzzy time series model Chen, karena data tangkap ikan terkait dengan musim. Hasil prediksimenunjukkan tingkat error sebesar 28%.Kata Kunci: Pelabuhan Perikanan Nusantara Brondong, Prediksi Jumlah Tangkap Ikan, Fuzzy TimeSeries Model ChenAbstractBased on the data of Brondong National Fishing Port, the average number of fish caught for the last 11years is 65017 tons per year. In 2016 66179 tons of fishes use caught and there was a very significantincrease in 2017 that is of 130742 tons. The data it is clearly very worrying because of overfishing cancause decreasing of the fish population to decrease. In this study predictions of the number of fish caughtin Brondong National Fishing Port are predicted, to assist gonvernment programs in managing marineresource. The method used in this study is fuzzy time series model Chen, as the data are related to theseason. The accuracy of the prediction is 72%.Keyword: Brondong National Fishing Port, Prediction of the amount of fish caught, Fuzzy Time SeriesChen Model
APLIKASI FUZZY DALAM OPTIMALISASI TRAFFIC LIGHT PERSIMPANGAN JUANDA Ramadhani, Rahma; Ummah, Imamatul; Amudi, Abdiyah; Yannuansa, Nanndo
Reaktom : Rekayasa Keteknikan dan Optimasi Vol 4 No 1 (2019)
Publisher : Universitas Hasyim Asy'ari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/reaktom.v4i1.423

Abstract

Traffic Jam is a problem that often occurs in transportation problems. Juanda Junction is one of theintersections that often experience traffic jam. The causes of traffic jam arise from many things, includingthe presence of side barriers, the absence of markers so that the traffic light that works is not optimal.Based on the results of the initial survey, it was found that the duration of the green light in each pendekawas not adjusted for how many cars and motorcycles were passing. North approacher where most cars andmotorbikes are passing but get fewer duration of green lights than other approaches. This shows lessoptimal traffic light settings. The use of fuzzy method is expected to make traffic light settings moreoptimal because the old green light produced is more flexible in accordance with many cars andmotorcycles that pass through an approach. The results of the study were obtained for vehicles passingthrough the northern approacher as many as 26 cars and 177/cycle obtained manually by the green light for43 seconds and with fuzzy 45 seconds. Western approacher with many vehicles passing by 25 cars and170/cycle motorbikes received a 51-second manual green light and fuzzy 42 seconds. As well as for theeast approacher with many vehicles passing 24 cars and 168 motorcycles/cycle get the green lightmanually 53 seconds and with fuzzy 42 seconds. Key Words: Fuzzy, Junction, Traffic Light
Application of Early Diagnosis of Diabetes Mellitus (DM) Equipped with Calorie Needs for DM Sufferers using the Fuzzy Mamdani Method Wardana, Humaidillah Kurniadi; Ummah, Imamatul; Fitriyah, Lina Arifah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 5, No. 4, November 2020
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v5i4.1088

Abstract

Diabetes Mellitus (DM) is one of the deadliest degenerative diseases in the world. The prevalence of DM in Indonesia from year to year shows asignificant increase. The high number of these causes the need for appropriate action and anticipation for health workers, DM families and DM people themselves. In this study, a system application model was created by using informatics techniques in health for early diagnosis of DM and what calorie needs needed for DM sufferers. This system was created using a GUI application and the Mamdani fuzzy method. The purpose of creating this system is to help in making an initial decision for DM diagnosis. The results obtained, first a DM diagnosis system with 6 input variables, 3 output variables, and 155 rules with MAPE achieved 29.48%. The second is the calorie requirements system with 2 input variables, 2 output variables namely BMI with MAPE 10.57% BMR with MAPE 9.7% and 9 rules with the results achieved by 99%.
Co-Authors Abdiyah Amudi, Abdiyah Humaidillah Kurniadi Wardana Lina Arifah Fitriyah MNH Qomarudin Nailul Izzati, Nailul Nanndo Yannuansa, Nanndo Ramadhani, Rahma Yunita Nur Afifah