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All Journal Jurnal EECCIS Jurnal Nasional Teknik Elektro dan Teknologi Informasi Techno
M. Aziz Muslim
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Optimasi Injeksi Photovoltaic Distributed Generation Menggunakan Metode Ant Colony Optimization Continuous Domain dan Improved Particle Swarm Optimization Alvin Zuhair; Hadi Suyono; M. Aziz Muslim
Jurnal EECCIS Vol 13, No 3 (2019)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

Pada sistem tenaga listrik, kualitas daya listrik yang diterima oleh beban yang jauh dari pusat pembangkitan listrik semakin menurun dan rugi-rugi daya semakin meningkat. Dalam mempertahankan kualitas tegangan dan menambah pasokan daya pada jaringan, perlu pemanfaatan pembangkit energi matahari yaitu Photovoltaic Distributed Generation (PVDG). Penelitian ini membahas optimasi PVDG dengan melakukan pencarian lokasi injeksi dan kapasitas daya menggunakan metode Ant Colony Optimization Continuous Domain (ACOCD) dan Improved Particle Swarm Optimization (IPSO). Terdapat tiga skenario yang di implementasikan pada pada sistem yang berdasarkan peningkatan nilai injeksi dan penyebaran pembangkit dari sumber pembangkitan awal. Hasil yang diperoleh menunjukkan kondisi ideal sistem terdapat pada optimasi skenario-3 dengan penambahan 4 PVDG dengan daya injeksi 50% nilai daya beban dengan konstrain yang diberikan pada batas bawah pembangkitan yaitu 0.5 kW dan batas atas pembangkitan  yaitu 2 MW. Rugi-rugi daya setelah injeksi daya PVDG, pengurangan daya yang sebelum injkesi 5.08% namun, setelah injeksi daya PVDG rugi-rugi daya aktif menurun menjadi 0.09% (ACOCD) dan 0,13% (IPSO). Dari penelitian ini menunjukkan metode ACOCD lebih baik dibandingkan metode IPSO.
Pengelompokan Artikel Berbahasa Indonesia Berdasarkan Struktur Laten Menggunakan Pendekatan Self Organizing Map Akhmad Zaini; M. Aziz Muslim; Wijono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 3: Agustus 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Document grouping is a necessity among a large number of articles published on internet. Several attempts have been done to improve this grouping process, while majority of the efforts are based on word appearance. In order to improve its quality, the grouping of documents need to be based on topic similarity between documents, instead of the frequency of word appearance. The topic similarity could be known from its latency, since the similarity of the word interpretation are often used in the same context. In the unsupervised learning process, SOM is often used, in which this approach simplifies the mapping of multi-dimension data. This research result shows that implementation of the latent structure decreases characteristic dimension by 32% of the word appearance, hence makes this approach more time efficient than others. The latent structure, however, when implemented on SOM Algorithm, is capable to obtain good quality result compared to word appearance frequency approach. It is then proven by 5% precision improvement, recall improvement of 3%, and another 4% from F-measure. While the achievement is not quite significant, the quality improvement is able to put the dominance of grouping process, compared to the original classification defined by the content provider.
Analisis Metode Fuzzy Analytical Network Process untuk Sistem Pengambilan Keputusan Pemeliharaan Jalan Rizky Ardiansyah; M. Aziz Muslim; Rini Nur Hasanah
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 2: Mei 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Road, as one of the land transportation infrastructure, is important for economic improvement of an area. It needs special and regular maintenance by the local government, in order to keep the road in good condition. For this purpose, the government conducts a survey with the aim of getting criteria for determining priority of road maintenance. The obstacle in implementation of road maintenance is the lack of criterias which make difficulties in determining the priority of road maintenance. Decision-making system is needed to solve the problems of determining the priority of road maintenance. Fuzzy Analytical Network Process (FANP) can solve the problem by calculating the criteria to get priority value. This method consists of many steps, namely weighting among criteria, weighting among sub-criteria, triangular fuzzy number, fuzzy synthesis, weight matrix, and priorities. The results show that the priority order of routine road maintenance is Jl. Jakarta, Jl. Kelud, and Jl. Kyai Tamin. The accuracy rate obtained in this research is 66.67%. Sensitivity test shows that the damage of the roads and the road density are important factors in generating the weight value road maintenance priorities.
IMPLEMENTASI SENSOR KAMERA CMUCAM3 PADA MOBILE ROBOT LINE TRACER Goegoes Dwi N; M. Aziz Muslim; Mr. Poerwanto; M. Yusuf Z
Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) Vol 12, No 1 (2011): Techno Volume 12 No 1 April 2011
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.054 KB) | DOI: 10.30595/techno.v12i1.27

Abstract

The use of the camera sensor to identify a particular object is still a popular tool to date. In this study implemented the use of CMU cam3 camera sensors to recognize line objects as mobile robot path trajectory. From the trial which is obtained fairly good results even if the robot is still a failure that is out of the path that was set at 10:1 it means ten times the trial once the robot has an failur. Keywords—CMU cam3 Camera Sensor, mobile robot
OPTIMASI PENENTUAN STATUS AKTIVITAS GUNUNG MERAPI MENGGUNAKAN METODE HYBRID ANFIS DAN PARTICLE SWARM OPTIMIZATION (PSO) Bagus Fatkhurrozi; M. Aziz Muslim; Didik R. Santoso
Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto) Vol 15, No 2 (2014): Techno Volume 15 No 2 Oktober 2014
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/techno.v15i2.89

Abstract

Tujuan penelitian ini adalah membuat model penentuan status aktivitas Gunung Merapi menggunakan metode hybrid ANFIS dan Particle Swarm Optimization (PSO). Data yang digunakan adalah data sekunder hasil pemantauan dari aktivitas kegempaan, deformasi tanah, dan geokimia Gunung Merapi. Data pelatihan menggunakan periode data prekursor erupsi Gunung Merapi tahun 1997, 1998, 2001, dan 2006. Data pengujian menggunakan data prekursor erupsi Gunung Merapi tahun 2010. Dari proses penelitian diperoleh hasil yaitu pada proses pelatihan, RMSE hybrid ANFIS-PSO sebesar 0,0877 dan MAPE pelatihan ANFIS-PSO sebesar 16,2518%. Pada proses pengujian, metode hybrid ANFIS-PSO dapat memperbaiki MAPE hasil pengujian ANFIS yang sebesar 10,2041% menjadi 8,3333%. Kata kunci : status aktivitas, Gunung Merapi, ANFIS, PSO
Co-Authors Akhmad Zaini Alvin Zuhair Bagus Fatkhurrozi Didik R. Santoso Goegoes Dwi N Hadi Suyono M. Yusuf Z Mr. Poerwanto Rini Nur Hasanah RIZKY ARDIANSYAH Wijono