93 research outputs found

    Studi Perencanaan Upgrade Transmisi Tegangan Tinggi 150 kV Perak-Ujung Menggunakan Konduktor HTLS (High Temperature-Low Sag

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    Saluran transmisi udara 150 kV pada umumnya menggunakan konduktor ACSR (Alumunium Conductor Steel Reinfoiced ) yang mempunyai titik kerja suhu yang terbatas. Saluran transmisi udara akan mengalami titik jenuh seiring meningkatnya kebutuhan listrik. Dengan menyempitnya lahan dan masalah investasi maka saluran yang telah ada perlu dioptimalkan dengan melakukan reconductoring menggunakan konduktor HTLS (High Temperature Low Sag). Konduktor HTLS mempunyai titik kerja suhu yang tinggi dibandingkan konduktor ACSR. Penelitian ini bertujuan untuk meningkatkan kapasitas hantar arus serta untuk memenuhi kehandalan N-1 dari saluran transimsi udara dengan memilih konduktor jenis HTLS yang meliputi ACCC, ACCR dan TACSR yang sesuai dengan struktur jaringan transmisi. Dengan menggunakan metode keseimbangan panas dalam menghitung ampacity dan metode cartenary dalam menghitung andongan dan tegangan tarik maka akan diketahui konduktor yang sesuai dengan struktur yang telah ada. Dari hasil penelitian menunjukkan konduktor ACCC jauh lebih handal dengan mampu menaikkan kapasitas hantar arus hingga 96,3 % sedangkan ACCR sebesar 83,9 % dan TACSR sebesar 40,7%. Dan andongan maksimal ACCC sebesar 4,692 m, ACCR sebesar 6,550 m dan TACSR sebesar 8,076 m dengan tegangan tarik yang dibutuhkan pada andongan maksimal berturut-turut sebesar 12,825 kN; 9,086 kN dan 8,119 kN

    A Review: Gayo Arabica Cupping Quality from Coffee Cherry to Green Bean

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    (Ulasan Ilmiah : Mutu Cita Rasa  Kopi Arabika Gayo dari Buah hingga Kopi Beras)  ABSTRACT. Arabica coffee as primary commodity attracts intensive study over the years in the whole coffee sectors. This review aims to compile relevant information related to coffee botany and its production, fermentation as post-harvest process as well as the impacts of its sensory quality and composition. Many researchers prior to acknowledge that the coffee holistic production, where started from breeding to brewing ultimately affects coffee quality as beverage. Future trends attempt to determine the impact of climate change on coffee quality, processing techniques of coffee waste as well as isolation active components which impact sensory quality

    Data-driven methodologies for decision making in engineering design

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    In the product development process, customer needs are essential to develop the product concepts. These concepts are crucial because the subsequent stages in the process are dependent on the selected concepts. Customer needs are conventionally gathered via survey-based methods, which may require extensive cost to conduct. Along with the massive growth of internet, an alternative to those survey-based methods emerges. Customer needs, as well as other insights about the customers, may be inferred from the opinions, feedbacks, or expectations that customers express in various online channels including online customer reviews. However, the volume and the generating velocity of the online customer review data surpass people's ability to analyze them in a reasonable time. Therefore, in order to utilize online reviews for supporting product designers in decision making, this work proposes methodologies that utilize Natural Language Processing tools, machine learning algorithms, and statistical models. In particular, the methodologies are proposed to support product designers in three specific aspects. First, a methodology is proposed to automatically identify product features that are discussed in the customer reviews as well as their corresponding sentiments. The particular product features that are significantly related to sales rank should become the focus of product designers when considering improvements of the existing product. Second, a novel approach to constructing the choice sets in the absence of both socio-demographic and the actual choice set data is proposed. The choice models that use the proposed choice sets are shown to have better predictive ability than the baseline, i.e., using random choice sets. The choice models with higher predictive ability are useful for product designers to perform demand estimation more accurately. Finally, a methodology is proposed to automatically identify product usage contexts from online customer reviews. Understanding the actual usage contexts is important because it may explain the differences in customer needs, the required design targets, and product preferences. In this work, the identified usage contexts are further complemented by their corresponding aspect sentiments. For product designers, the results enable them to understand customer experience regarding the usage contexts, including the contexts that may not be originally intended by the designers.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-08-01The student, Dedy Suryadi, accepted the attached license on 2019-07-10 at 17:52.The student, Dedy Suryadi, submitted this Dissertation for approval on 2019-07-10 at 18:12.This Dissertation was approved for publication on 2019-07-11 at 09:38.DSpace SAF Submission Ingestion Package generated from Vireo submission #14253 on 2019-11-26 at 14:03:45Made available in DSpace on 2019-11-26T20:59:45Z (GMT). No. of bitstreams: 3 SURYADI-DISSERTATION-2019.pdf: 16371997 bytes, checksum: a720732129b501d9c935c095c45c96f0 (MD5) LICENSE.txt: 4209 bytes, checksum: 87907aa4da6a42e02734eacc57c79d7f (MD5) PROQUEST_LICENSE.txt: 4555 bytes, checksum: f1575bed89b275a38aee42283121ad8a (MD5) Previous issue date: 2019-07-11Embargo set by: Seth Robbins for item 113079 Lift date: 2021-11-26T20:59:54Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 113079 on 2021-11-27T10:15:27Z

    Interrogative Construction In Malay Batu Bara

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    Question sentences are indicators that form introductive constructions, so for the formation of interrogative sentences, question sentences need special attention because question sentences are a way for a person to get complete information. This research is entitled Interrogation Construction in Batu Bara Malay (BMBB). This study seeks to analyze the Integrative construction. The research method used in this study is qualitative because it can be used to research the natural condition of the object; the instruments used in this study are sound recording devices, video recording tools, and stationery. The data used in this study is speech data in BMBB. The data for this research is sourced from the BMBB user community. After obtaining data in the field, the data is analyzed and described in words. The results of this study are that BMBB has an open interrogatory construction with nine interrogative words found, namely apo, siapo, kenapo, berapo, mano, dimano, darimano, kamano, and gimano, a closed-in cogitative construction with interrogative words found in 2 rows, namely Apo and Gekmano,  For rhetorical interrogatory constructs with interrogative words found in 3 rows, namely siapo, mangapo, and gekmano

    Studi Perencanaan Upgrade Transmisi Tegangan Tinggi 150 kV Perak-Ujung Menggunakan Konduktor HTLS (High Temeprature-Low Sag)

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    Saluran transmisi udara 150 kV pada umumnya menggunakan konduktor ACSR (Alumunium Conductor Steel Reinfoiced) yang mempunyai titik kerja suhu yang terbatas. Saluran transmisi udara akan mengalami titik jenuh seiring meningkatnya kebutuhan listrik. Dengan menyempitnya lahan dan masalah investasi maka saluran yang telah ada perlu dioptimalkan dengan melakukan reconductoring menggunakan konduktor HTLS (High Temperature Low Sag). Konduktor HTLS mempunyai titik kerja suhu yang tinggi dibandingkan konduktor ACSR. Penelitian ini bertujuan untuk meningkatkan kapasitas hantar arus serta untuk memenuhi kehandalan N-1 dari saluran transimsi udara dengan memilih konduktor jenis HTLS yang meliputi ACCC, ACCR dan TACSR yang sesuai dengan struktur jaringan transmisi. Dengan menggunakan metode keseimbangan panas dalam menghitung ampacity dan metode cartenary dalam menghitung andongan dan tegangan tarik maka akan diketahui konduktor yang sesuai dengan struktur yang telah ada. Dari hasil penelitian menunjukkan konduktor ACCC jauh lebih handal dengan mampu menaikkan kapasitas hantar arus hingga 96,3 % sedangkan ACCR sebesar 83,9 % dan TACSR sebesar 40,7%. Dan andongan maksimal ACCC sebesar 4,692 m, ACCR sebesar 6,550 m dan TACSR sebesar 8,076 m dengan tegangan tarik yang dibutuhkan pada andongan maksimal berturut-turut sebesar 12,825 kN; 9,086 kN dan 8,119 kN. Kata Kunci: konduktor HTLS, reconductoring, transmisi udara

    Sistem Informasi Geografis Pemetaan tempat wisata di Berastagi

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    Berastagi city is one of the most famous tourist city in Karo District. Karo Regency Government has promoted tourism objects through mass media such as newspapers, brochures, pamphlets and posters. However, the method is not enough to inform widespread tourism to local tourists foreign tourists. Therefore the author tries to make a new innovation for geographic information system mapping of tourist attractions in Berastagi which is fixed to all local tourists and foreign tourists. This application aims to get the public can get complete information about tourist attractions in Berastagi. And some Lodging as well as transportation close to the sights follow in order for people who are walking the easy and quick to find out. Thus the authors hope this application is useful for the entire community.111 HalamanKertas Karya Diplom

    Implementasi Metode PCA – K Nearest Neighbour untuk Deteksi Golongan Kendaraan Berdasarkan Jumlah Pasang Gandar

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    Detection of vehicle type based axle allow to do classify vehicle based on the load that will carried by the vehicle. However at this time, classification of heavy vehicle types based on axles is still carried out by humans. In here research, author use image processing for classification of vehicles class with PCA-K Nearest Neighbour Method. The reason for choosing this algorithm is because previous research use K-Means Clustering have a same formula with K-Nearest Neighbour. The data used is the image captured from the video camera processed by background subtraction method to separate moving object namely vehicle with its background. PCA method is required to obtain eigen vektor from vehicle and reduce its dimensions. Meanwhile, for classification author tries to use classification algorithm of K-Nearest Neighbour. To detect vehicle axles author use Circular Hough Transform method. The Testing Result shows detect vehicle type use PCA-K Nearest Neighbour method with value of K=1 has an accuracy 90%.Deteksi golongan kendaraan berdasarkan gandar memungkinkan untuk melakukan klasifikasi kendaraan berdasarkan beban yang akan di bawa oleh kendaraan tersebut. Namun pada saat ini, klasifikasi jenis kendaraan berat berdasarkan gandar masih dilakukan oleh manusia. Dalam penelitian ini, penulis menggunakan pengolahan citra untuk klasifikasi golongan kendaraan dengan metode PCA-K Nearest Neighbour. Alasan pemilihan algoritma ini adalah karena penelitian sebelumnya menggunakan algoritma K-means Clustering memiliki rumus yang sama dengan K-Nearest Neighbour. Data yang digunakan adalah citra yang ditangkap dari kamera video diproses dengan metode background subtraction untuk memisahkan objek yang bergerak yaitu kendaraan dengan backgroundnya. Metode PCA diperlukan untuk mendapatkan vektor eigen dari kendaraan dan mereduksi dimensinya, sedangkan untuk klasifikasi penulis mencoba menggunakan algoritma klasifikasi K Nearest Neighbours. Untuk deteksi gandar kendaraan penulis menggunakan metode Circular Hough Transform. Hasil pengujian menunjukkan deteksi golongan kendaraan menggunakan metode PCA-K Nearest Neighbours dengan nilai K=1 mendapat akurasi 90%.84 HalamanSkripsi Sarjan
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