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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%
Modifikasi Metode Timestamped Change Data Capture pada RDBMS (Relational Database Management System) Hendra Suprayogi; Harry Soekotjo Dachlan; Muhammad Aswin
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 3: Agustus 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1134.325 KB)

Abstract

A normalization process must be applied in the data structure in database designing process in RDBMS, in order to eliminate data anomaly and redundancy. This procedure increases access performance as well as reduces unnecessary storage space. It transforms a single entity into multiple entities, normalization process is often so-called decomposition. A problem occurs, however, after a normalized database is being implemented. When a new data recorded there is nothing wrong with its retrieval, while the retrieval process goes into the last data updated in the case of updating activity. Moreover, when a deletion occurred, the data can never be retrieved. Timestamped CDC method offers a way of tracking data change. Basically, timestamped CDC uses historical record to include timestamp everytime change occurs. Tracking updated record is simply done by the previous research of timestamped CDC, while keeping track on deleted data is impossible since the data vanished within the deletion process. This paper modifies the timestamped CDC method so that data deletion tracking can be achieved as well as data updating. Furthermore, this research also makes several testing procedures to find out performance of the modified timestamped CDC structures.