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All Journal Jurnal Ilmiah Kursor Jurnal Mahasiswa TEUB Jurnal EECCIS Jurnal Penelitian Pendidikan IPA (JPPIPA) JOURNAL OF SCIENCE AND APPLIED ENGINEERING ALINIER: Journal of Artificial Intelligence & Applications JURNAL PENELITIAN BIDANG PENDIDIKAN
Hadi Suyono
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Social Sciences Other

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Journal : jurnal eeccis

 1 
Sistem Peringatan Dini untuk Deteksi Kebakaran pada Kebocoran Gas Menggunakan Fuzzy Logic Control Wahyu Tara Dirgantara; Hadi Suyono; Onny Setyawati
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 11 No. 1 (2017)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1034.568 KB) | DOI: 10.21776/jeeccis.v11i1.402

Abstract

Abstract—Fire accidents, due to the leakage of LPG gasses, should be avoided; therefore a systsem that can anticipate the accident is necessary. A system consisting of two sensors and three actuators is designed. MQ5 sensor served as a gas sensor to detect gas concentration of 200 – 10000 ppm. LM35 sensor served as a temperature sensor in range of -55–140. Output system consisted of a buzzer and two fans. System  measurement is performed by modeling a cube for three conditions. The results show that the system created using fuzzy logic control can work on three conditions: 45 ppm is detected at 30.49 (no leakage gas), 70 ppm is detected by increasing temperature up to 31.49 (no leakage gas), leakage gas of 1200 ppm caused the decreased of the temperature to 28.13.
Penjadwalan Pembangkit Termal dengan Improved Lagrange Relaxation pada Sistem Jamali - 500 kV inas sunaryanti ningsih; Hadi Suyono; Wijono Wijono
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 11 No. 2 (2017)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.957 KB) | DOI: 10.21776/jeeccis.v11i2.336

Abstract

Unit Commitment (UC) is a problem to schedule generating units in a power system economically meeting the requirements of load demand and spinning reserve. Up to now several methods have been applied to solve this problem. Among those methods Lagrange Relaxation (LR) seems to be the most suitable one. However, this method may suffer from numerical convergence problem. This paper proposes a new method for solving UC problem. The proposed method uses Evolutionary Programming (EP) to update Lagrange multipliers and improves the performance of LR method. Simulation results show that the proposed method can provide a better solution compared with another methods.
Perbandingan Kinerja Algoritma C.45 dan AHP-TOPSIS Sebagai Pendukung Keputusan Proses Seleksi Penerima Beasiswa Aziz Musthafa; Hadi Suyono; M. Sarosa
Jurnal EECCIS Vol 9, No 2 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.947 KB)

Abstract

Considering the importance of the scholarship, it is a challenge for the head of higher education institutions to make an accurate decision on giving scholarships and managing data of the recipients. However, the implementation is still less efficient in terms of time and allow for errors due to how to select and transfer of data recipients still use manual way. Decision support system is expected to improve performance and simplify the process of selection of recipients. In this research used data Bidik Misi scholarship. The input of this system is the personal data of applicants, the data of parents and academic data. Sample registries from 2013 - 2014 is used in this research. The data of applicants in 2013 are used for training. Whereas the data of applicants in 2014 are used for testing or target data. Input data will be processed using data mining techniques, C4.5 algorithm and Multiple Attribute Decision Making (MCDM) AHP-TOPSIS algorithm. The output of this system is a recommendation of applicants who are accepted and not accepted in Bidik Misi Scholarship and analysis algorithms based on performance.The test results for Bidik Misi Scholarship show that C4.5 algorithm got 85% on precision, 85% on recall and 93% on accuracy, and AHP-TOPSIS got 69% on precision, 69% on recall, and 87% on accuracy. In this research, C4.5 algorithm shows a better performance than AHP-TOPSIS algorithm.
Co-Authors Abraham Lomi Ainul Hayat Aziz Musthafa Bayu Firmanto Fira Utami Harry Soekotjo inas sunaryanti ningsih Luh Putu Ratna Sundari Lunde Ardhenta M. Fauzan Edy Purnomo M. Sarosa Moh. Farid Rahman Mohammad Iqbal Bachtiar Muhammad Fauzan Edy Purnomo Onny Setyawati Rini Nur Hasanah Saipul Ambri Damanik Vita Kusumasari Wahyu Dirgantara Wijono Wijono ZAINUL ABIDIN Zen Fadli