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All Journal IPTEK The Journal for Technology and Science TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal ilmiah teknologi informasi Asia
Wahyuni, Ida
Teknik Informatika, Fakultas Teknik Informatika, STMIK Asia Malang
Computer Science & IT Electrical & Electronics Engineering

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Integrating fuzzy logic and genetic algorithm for upwelling prediction in Maninjau Lake Muhammad Rofiq; Yogie Susdyastama Putra; Wayan Firdaus Mahmudy; Herman Tolle; Ida Wahyuni; Philip Faster Eka Adipraja; Hafrijal Syandri
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11605

Abstract

Upwelling is a natural phenomenon related with the increase in water mass that also occurs in Maninjau Lake, West Sumatra. The upwelling phenomenon resulted in considerable losses for freshwater fish farming because make mass mortalities of fish in farming using the method of floating net cages (karamba jaring apung/KJA). It takes a system that can predict the possibility of upwelling as an early warning to the community, especially fish farming to immediately prepare early anticipation of upwelling prevention. With historical water quality monitoring data at six sites in Maninjau Lake for 17 years, a prediction model can be made. There are three input criteria for Tsukamoto FIS that is water temperature, pH, and dissolve oxygen (DO). The model is built with fuzzy logic integration with the genetic algorithm to optimize the membership function boundaries of input and output criteria. After the optimization, hybrid Tsukamoto FIS and genetic algorithm successfully make a correct upwelling prediction on of 16 data with 94% accuracy.
Determining Growing Season of Potatoes Based on Rainfall Prediction Result Using System Dynamics Ida Wahyuni; Philip Faster Eka Adipraja; Wayan Firdaus Mahmudy
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.315

Abstract

Potato has been and is a basic food for many countries. However, because of the uncertainty in rainfall patterns that have occurred since the existence of climate change make a significant impact on the outcome of potatoes production from year to year. Therefore, it needs the determination of new growing season period according to climate change. The determination of growing season is based on the result of rainfall prediction data using system dynamics ever done in previous studies to predictions of rainfall during the next five years starting in 2017-2021. Based on the modeling that has been done shows that early dry season ranges in mid-April to mid-May by the length of days in the growing season ranges from 162-192 days. The growing season prediction model has small error only about two dasarian. By the middle of the dry season, rainfall is expected to be very low which will make the potatoes into water deficit and will affect the harvest of potatoes plants which can be overcome with the irrigation system.
Utilization Management of Landfill Zones Based on Volume of Municipal Organic Waste Simulation Philip Faster Eka Adipraja; Mufidatul Islamiyah; Ida Wahyuni
IPTEK The Journal for Technology and Science Vol 29, No 1 (2018)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (262.145 KB) | DOI: 10.12962/j20882033.v29i1.3015

Abstract

Talangagung landfill is one of the zones that well managed by the government of Malang Regency which uses sanitary landfill method. Additionally, it’s also succeeded in the utilization of methane gas which has already distributed to the residents around the landfill directly from the landfill zones for daily purposes. For a couple of years, the processing of municipal waste in Talangagung is quite well, however, the significant increase in the waste generation could lead to new management problems in the landfill. The prediction on the waste volume on next 20 years shows that the increased amount of waste volume soon or later will exceed the current capacity of landfill zones. The previous study about waste degradation shows the different time periods of degradation in various waste as fast as just about a month to more than 7 months. The simulation from this study shows that around 2004 require 2 landfill zones to use simultaneously. Hereafter, the prediction shows while in 2018 the landfill requires 3 zones used simultaneously, starts from 2025 there is necessary to use 4 zones simultaneously. Based on the simulation result, the landfill will overload in around 2026. The models in this study were validated with a small error of E1 about 2.33% and the error of E2 about 0.76%.
Pemodelan Fuzzy Inference System Tsukamoto Untuk Prediksi Curah Hujan Studi Kasus Kota Batu Ida Wahyuni; Fadhli Almu'iini Ahda
Jurnal Ilmiah Teknologi Informasi Asia Vol 12 No 2 (2018): Volume 12 Nomor 2 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v12i2.260

Abstract

Tidak menentunya pola curah hujan mengakibatkan petani apel menjadi kesulitan dalam menentukan waktu pembungaan yang mengakibatkan hasil panen apel menjadi tidak maksimal. Banyak metode yang digunakan untuk memprediksi curah hujan, salah satunya adalah Fuzzy Inference System (FIS) Tsukamoto. Penelitian terdahulu yang menggunakan metode ini berhasil mendapatkan nilai Root Mean Square Error (RMSE) yang cukup kecil. Pada penelitian ini digunakan metode FIS Tsukamoto untuk membuat pemodelan prediksi curah hujan pada empat lokasi di daerah Batu, Jawa Timur dengan tujuan untuk mendapatkan RMSE yang kecil pula. Metode FIS Tsukamoto digunakan untuk memprediksi curah hujan dengan data time series mulai tahun 2005 sampai tahun 2014. Hasil dari penelitian ini adalah prototipe metode FIS Tsukamoto yang dapat digunakan untuk memprediksi curah hujan dengan nilai error RMSE pada daerah Junggo sebesar 9.196, pada daerah Pujon sebesar 9.407, pada daerah Tinjomulyo sebesar 8.798, pada daerah Ngujung sebesar 8.825.
Implementasi Alat Prediksi Curah Hujan Menggunakan Metode Embedded System di Kelurahan Wonokoyo Kecamatan Kedungkandang Kota Malang Ida Wahyuni; Philip Faster Eka Adipraja; Sri Anggraini Kusuma Dewi
Jurnal Ilmiah Teknologi Informasi Asia Vol 13 No 1 (2019): Volume 13 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kelurahan Wonokoyo adalah salah satu kelurahan di Kota Malang yang kaya akan potensi pertanian. Banyak komoditi pertanian tebu dan palawija yang dihasilkan kelurahan Wonokoyo khususnya di RW 5 yang dihimpun oleh Kelompok Tani Ainul Hayat. Namun karena kondisi iklim yang tidak menentu membuat curah hujan menjadi sulit diprediksi. Padalah jumlah curah hujan sangat menentukan awal masa tanam dan masa pemupukan. Selama ini para petani hanya mengandalkan pengalaman dalam menentukan awal masa tanam dan masa pemupukan, namun karena curah hujan tidak menentu sering terjadi kesalahan dalam memperkirakan curah hujan. Kesalahan dalam memprediksi curah hujan mengakibatkan hasil panen dan kulitas pemupukan menjadi tidak optimal. Alat prediksi curah hujan sangat dibutuhkan untuk memperkirakan rata-rata curah hujan yang akan turun selama sepuluh hari kedepan. Dengan mengetahui perkiraan curah hujan, petani akan mempunyai pedoman dalam menentukan apakah sepuluh hari kedepan baik digunakan untuk awal masa tanam atau masa pemupukan. Alat prediksi curah hujan dibuat dengan sensor pencatat data cuaca dan software embedded system untuk memprediksi curah hujan. Metode yang akan digunakan yaitu hybrid FIS-GA yang pernah digunakan sebagai metode prediksi curah hujan. Hasil luaran yang ditampilkan oleh alat prediksi curah hujan adalah rata-rata curah hujan yang akan terjadi sepuluh hari kedepan.
Co-Authors Fadhli Almu’iini Ahda Herman Tolle Mufidatul Islamiyah Mufidatul Islamiyah Muhammad Rofiq Philip Faster Eka Adipraja Sri Anggraini Kusuma Dewi Syandri, Hafrijal Wayan Firdaus Mahmudy Yogie Susdyastama Putra