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All Journal Jurnal EECCIS Jurnal Nasional Teknik Elektro dan Teknologi Informasi
HARRY SOEKOTJO DACHLAN
Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Journal : Jurnal EECCIS

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Analisis Injeksi Pembangkit Hybrid Tenaga Surya-Angin pada Sistem GI Sengkaling Penyulang Pujon LUKMAN HAKIM; HADI SUYONO; HARRY SOEKOTJO DACHLAN
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 (608.457 KB) | DOI: 10.21776/jeeccis.v11i1.330

Abstract

Amanat undang-undang tentang Energi menyatakan bahwa penyediaan energi dilakukan melalui: diversifikasi, konservasi, dan intensifikasi sumber energi dan energi [1]. Upaya diversivikasi energi yang bersumber dari energi baru dan terbarukan pada makalah ini yaitu berupa pembangkit hybrid surya-angin. Penelitian dilakukan di Gunung Banyak Kota Batu tepatnya pada koordinat latitude -7.861087° dan longitude 112.503948° elevasi + 941 dpl. Tulisan ini menyajikan analisis potensi dan analisis teknis pembangkit hybrid surya-angin terhubung grid dengan sistem distribusi eksisting 20kV  PT PLN. Potensi energi matahari dan angin diukur secara langsung di lokasi Gunung Banyak kota Batu. Hasil pengukuran menunjukkan radias1 matahari rata-rata sebesar 5,19 kW/m2. Sedangkan kecepatan angin rata-rata 2,9 m/detik pada ketinggian 10 meter diatas permukaan tanah. Secara teknis, injeksi pembangkit hybrid surya-angin pada sistem GI Sengkaling Penyulang Pujon memperbaiki drop tegangan hingga 5,15% dari tegangan nominal 20kV, dan menurunkan rugi-rugi daya sistem. Simulasi dilakukan dengan menggunakan perangkat software PSAT 2.1.8.
Analisis Pengaruh Frasa Pada Deteksi Emosi Dari Teks Menggunakan Vector Space Model Ranap Sitorus; Harry Soekotjo Dachlan; Wijono Wijono
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 (592.328 KB) | DOI: 10.21776/jeeccis.v11i1.439

Abstract

Text communication is one way of conveying information about one's attitudes and emotional state. Emotion is also very important role in taking a decision such as doing emotion detection from the text of the questionnaire. Text emotions are detected at various stages to be recognizable by the computer. The steps taken are preprocessing the case folding, tokenizing, filtering and stemming. In this emotional detection research, For grouping words based on word class, using POS-Tagging where approach based rule rule based containing combination of word class which most likely when combined will form a phrase in order to facilitate the computer in understanding the characteristics of a phrase. The phrases-based detection-based tokenisation process uses the Hidden Markov Model (HMM) POS-Tagger for easy classification using the Tf-Idf and VSM methods. This study aims to classify text communication in Indonesia language into emotional expression classes into 3 basic emotional classes and serve as training documents and test documents obtained from the results of student questionnaires as many as 264 documents. The computer is able to detect emotion with the corpus data by performing sentences into words or phrases using Chunk that can classify emotions happy, disappointed and afraid. From the test results for 90% training data and 10% test data in detecting emotions using Phrase got 92.59%
Co-Authors Hendra Suprayogi Lukman Hakim Muhammad Aswin Ranap Sitorus Suyono, Hadi Wijono Wijono