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Hasil Pencarian

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Hutagaol, Putri Rebecca
Abstrak :
Meningkatnya aksesbilitas terhadap listrik dan nilai konsumsi listrik seharusnya sejalan dengan manajemen konsumsi energi. Manajemen konsumsi energi listrik dibutuhkan dalam upaya konservasi energi listrik, Keberadaan smart meter sebagai infrastruktur dalam teknologi Advanced Metering Infrastructure (AMI), merupakan salah satu solusi dalam manajemen energi listrik yang dikonsumsi. Beberapa keunggulan kWh meter yang mendukung sistem AMI, dalam upaya manajemen energi adalah mampu mencatat dan mengolah informasi konsumsi listrik dengan otomatis, mendekati waktu sebenarnya, dan mampu berkomunikasi 2 arah. Long Range (LoRa) sebagai salah satu teknologi Low Power Wide Area Networks (LPWAN) merupakan media komunikasi yang dianggap paling sesuai untuk digunakan meter dalam pengiriman data hasil pengukuran. Untuk mengetahui kinerja sistem pengukuran menggunakan kWh meter multifungsi 1 fasa berbasis LoRa, maka pengukuran diimplementasikan di 4 titik beban di FTUI. Sistem pengukuran berbasis teknologi LoRa mampu mendokumentasikan hasil pengukuran dan dimonitor jarak jauh mendekati waktu sesungguhnya. Berdasarkan hasil pengukuran pada masing-masing titik beban, didapatkan bahwa jarak antara gateway dengan titik pengukuran berpengaruh terhadap tingkat keberhasilan sistem pengukuran berbasis teknologi LoRa yang dinyatakan dalam nilai Packet Delivery Ratio (PDR), semakin jauh jaraknya maka nilai PDR akan menurun. Pada pengukuran dijarak 33,77 m, nilai PDR adalah 38,33%. Pada pengukuran di jarak 81,74 m, nilai PDR adalah 31,94%. Pada pengukuran dijarak 102.7 m, nilai PDR adalah 31,39%. Pada pengukuran dijarak 156,96 m, nilai PDR adalah 26,39%. Sistem pengukuran ini kemudian diterapkan untuk mengukur vending machine selama 43 jam 49 menit di lokasi penguran yang berjarak 33,77 m dari gateway, dan berhasil mendokumentasikan data sebanyak 910 paket data (PDR bernilai.34,61%). ......Increased accessibility to electricity and electricity consumption should be in line with energy consumption management. Management of electrical energy consumption is needed to conserve electrical energy. The existence of a smart meter as an infrastructure in Advanced Metering Infrastructure (AMI) is one of the solutions in managing electrical energy consumed. Some of the advantages of the energy meter that supports the AMI system in energy management are being able to record and process electricity consumption information automatically, close to real-time, and be able to communicate in two directions. Long Range (LoRa) as one of the Low Power Wide Area Networks (LPWAN) technologies is a communication medium that is considered the most suitable for meter use in transmitting measurement data. To determine the performance of LoRa based energy meter and AMI measurement system, measurements using a single-phase multifunctional electronic energy meter are implemented at 4 load points in FTUI. The LoRa technology-based measurement system is able to document measurement results and be monitored remotely close to real-time. Based on the measurement results at each load point, it was found that the distance between the gateway and the measurement point affected the success rate of the LoRa technology-based measurement system, the farther the distance, the lower the PDR value. When measured at a distance of 33.77 m, the PDR value was 26,39%. When measured at a distance of 81.74 m, the PDR value was 31,94%. When measured at a distance of 102.7 m, the PDR value was 31,39%. When measured at a distance of 156.96 m, the PDR value is 26,39%. This measurement system was then applied to measure the vending machine for 43 hours 49 minutes at the measuring location 33.77 m from the gateway and succeeded in documenting 910 data packets (PDR was.34,61%).
Depok: Fakultas Teknik Universitas Indonesia, 2020
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UI - Skripsi Membership  Universitas Indonesia Library
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Lukasz Wiszniewski
Abstrak :
ABSTRACT
The LoRaWAN Technology opens new possibilities for gathering and analysis of distributed data. In the paper we concentrate on its maritime usability which was tested by us in the period from June to August 2018. Measurements of the LoRaWAN network coverage in the Bay of Gdansk area were carried out. Various conditions and places were tested. The research was planned in such a way as to gradually increase the range and control the impact of environmental factors. The results of the measurements confirm the wide application and a broad range of the technology. Combined with cloud computing it leads to new kinds of services and applications.
Gdansk : TASK , 2018
600 SBAG 22:4 (2018)
Artikel Jurnal  Universitas Indonesia Library
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Valda Orchidea Zahwa
Abstrak :
Meningkatnya intensitas pendakian di Indonesia tidak dibarengi dengan adanya peningkatan keamanan dan keselamatan pendaki. Pengetatan izin dilakukan dengan mewajibkan pendaki meninggalkan identitas di pos perijinan dan melakukan pengecekan perbekalan pendaki. Apabila pendaki belum turun sesuai izin pendakian yang ditentukan maka dapat diperkirakan telah terjadi kendala. Tugas Akhir ini mengembangkan Prototype SMES (Smart Monitoring and Emergency System). SMES adalah teknologi yang memanfaatkan teknologi nirkabel LoRa (Long Range) yang memiliki cakupan luas dengan konsumsi power yang kecil serta dilengkapi dengan node di setiap pos dan Gateway di pos perijinan. Dengan alat tersebut maka pendaki yang menggunakan tracking tools berbasi GPS akan otomatis terhubung pada sistem sehingga lokasi pendaki dapat dideteksi. SMES juga dilengkapi dengan tombol darurat untuk mempermudah pendaki dalam memberikan informasi ketika terjadi kondisi darurat tanpa harus melapor ke pos perizinan. SMES diharapkan dapat membantu tim SAR (Search and Rescue) dalam melakukan evakuasi dengan cepat dan tepat. SMES telah diuji coba di area Universitas Indonesia dengan 3 skenario berbeda yang mewakili kondisi pada area pendakian gunung.Skenario Line of Sight memiliki rata-rata RSSI -69,31 dBm dengan jangkauan 679 m, skenario non-Line of Sight mendapatkan rata-rata RSSI -76dBm dengan jangkauan 364 meter, dan skenario Top Down memiliki rata-rata RSSI -73dBm dengan jangkauan 1030 meter. ......Increased intensity of moutaineers in Indonesia is not accompanied by an increase security and safety of mounteineers. Tightening of permits is done by requiring the mountaineer to leave the identity at the security post and to check the mountaineers supplies. If the climber has not gone down according to the specified climbing permit then it can be estimated that there has been a problem. This thesis discusses the Prototype of SMES (Smart Monitoring and Emergency System) which is a technology that utilizes Wireless Broadband Network LoRa (Long Range) technology with a small power consumption and equipped with node in every post and gateway in security post. With the tool then the mountaineer who uses a tracking tools completely with GPS (Global Positioning System) will automatically connect to the system so that the location of the mountaineer can be detected. And the tools is equipped with emergency buttons to facilitate mountaineer in providing information when an accident occurred without having to report to the permitions post. It can help the Search and Rescue team in doing evacuation quickly and accurately. SMES has been tested in Universitas Indonesia area with 3 different scenarios representing conditions on mountain climbing area. The scenario of Line of Sight has an average of RSSI -69.31 dBm with a distance of 679 m, non Line of Sight scenario has an average RSSI -76dBm with a range of 364 meters, and the Top Down scenario has an average RSSI -73dBm with a range of 1030 meters.
Depok: Fakultas Teknik Universitas Indonesia, 2018
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UI - Skripsi Membership  Universitas Indonesia Library
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Lukasz Wiszniewski
Abstrak :
ABSTRAK
Internet of Things devices that send small amounts of data do not need high bit rates as it is the range that is more crucial for them. The use of popular, unlicensed 2.4 GHz and 5 GHz bands is fairly legally enforced transmission power above power limits cannot be increased. In addition, waves of this length are very diffiult to propagate under field conditions e.g. in urban areas. The market response to these needs are the LPWAN Low Power WAN type networks, whose main features are far reaching wireless coverage and low power measurement end nodes that can be battery powered for months. One of the promising LPWAN technologies is the LoRaWAN, which uses a publicly available 868 MHz band in Europe and has a range of up to 20 km. This article presents how the LoRaWAN network works and describes the installation of the research and measurement infrastructure in this technology which was built in the Gdańsk area using the Academic Computer Center TASK network infrastructure. The methodology and results of the qualitative and performance studies of the constructed network with the use of unmanned aircraft equipped with measuring devices for remote collection of environmental data are also presented. The LoRaWAN TASK has been designed to support the development of other research projects as an access infrastructure for a variety of devices. Registered users can attach their own devices that send specific metrics that are then collected in a cloud based database, analyzed and visualized.
TASK, 2017
600 SBAG 21:4 (2017)
Artikel Jurnal  Universitas Indonesia Library
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Bakara, Minarnita Yanti Verawati
Abstrak :
Perhatian akademisi maupun peneliti yang mempelajari sistem ekonomi dan keuangan terutama untuk tujuan prediksi mulai tertuju pada topik chaos. Pencarian struktur chaos dalam sistem ekonomi dan keuangan menjadi penelitian menarik akhir-akhir ini. Adanya chaos dalam pasar keuangan merupakan pertanyaan panting karena dapat menjadi titik awal pemahaman perilaku sistem ekonomi dan keuangan yang belum terpecahkan dengan berbagai teori dan asumsi. Beberapa bukti menyarankan return saham terbentuk dad proses deterministic nonlinear (chaos). Studi empiris lainnya membuktikan nonlinearity baik deterministic maupun stochastic dalam financial time series. Beberapa penelitian memberikan bukti empiris adanya chaos dalam capital market index time series. Temuan tersebut merupakan tantangan bagi berbagai teori di bidang ekonomi dan keuangan seperti teori pasar efisien dan menjadi pertanyaan bagi penelitian yang berdasarkan asumsi statistik standar: independence (random) dan normalitas. Sistem low dimensional deterministic chaos memungkinkan penggunaan nonlinear dynamics untuk prediksi. Penelitian ini mempelajari adanya bukti empiris keberadaan chaos dalam pasar keuangan dengan pengujian yang mencari low dimensional chaos pada indeks dan beberapa saham individual pada pasar modal di Indonesia. Menggunakan perangkat pengujian BDS statistic, RJS analysis, Correlation Dimension dan Lyapunov Exponent, tesis ini mencoba mendeteksi adanya struktur chaos di Bursa Efek Jakarta. BDS statistic merupakan pengujian nonlinearity untuk mendeteksi deviasi hipotesa HD. RJS analysis diterapkan untuk uji persistensi atau long memory. Penerapan Correlation dimension dari Grassberger dan Procaccia untuk pengujian self similarity yang merupakan karakteristik chaos. Untuk menguji sensitive dependence on initial condition yang merupakan karakteristik chaos lainnya diterapkan Lyapunov exponent dad Wolf. Untuk mengatasi noise dalam data diterapkan filter proses stochastic dan filter simple noise reduction. Diperlukan range titik data yang panjang dalam pencarian struktur chaos. Maka diamati harga dan return saham harian, mingguan dan bulanan sampai akhir Nopember 2003 pads indeks IHSG sejak awal Januari 1988 dan 11 emiten BATA, DLTA, GDYR, JIHD, MERK, MLBI, PGIN, SCCO, SHDA, SMCB, SQBI sejak awal Januari 1989. Emiten yang dipilih adalah yang telah go public sebelum Januari 1989 dan masih terdaftar pads Nopember 2003. Hasil penelitian membukrtikan adanya nonlinearity, persistensillong memory dan low dimensional chaos pada IHSG dan beberapa emiten. Tetapi masalah noise dan temporal correlation belum dapat teratasi sepenuhnya karena keterbatasan jumlah titik data.
Researchers start to turn their attention to a new and interesting topic, chaos. The possibility of chaos structure in the economic and financial system is becoming an important question, as it can be a starting point to understand the behaviour of the system. Recent evidences suggest that returns are formed by deterministic non-linear process or chaos. Empirical studies prove the existence of deterministic as well as stochastic non-linear in financial time series. Researchers provide empirical evidences of the presence of chaos in capital markets index. These findings possess new challenges for the prevailing Economic and Financial theories, and a question to researches that are based on statistical standard assumptions. A low dimensional deterministic chaos system opens the possibility to use non-linear dynamics for prediction or forecasting. This research thesis seeks empirical evidence of the existence of chaos - low dimensional chaos - in financial market by testing individual stocks and index of the Indonesia 's Capital Market. By using BDS statistic to test non-linearity, RJS analysis for persistence (long memory) testing, Correlation dimension of Grassberger and Procaccia for self similarity testing, and Lyapunov exponent of Wolf to test sensitive dependence on initial condition, this study attempts to detect chaos in Jakarta Stock Exchange. Stochastic process filtering and simple noise reduction filtering are applied to handle noise in data set. The observations are on the JSKIndex from January 1988 to November 2003 and on stocks prices & returns of eleven-selected listing companies from January 1989 to November 2003, which are sampled daily, weekly, and monthly. These companies have listed before January 1989 and were still listing on November 2003. The result shows that non-linearity, persistence/long memory, and low dimensional chaos do exist on the Jakarta Stocks Exchange Index and in some selected listing companies.
Depok: Fakultas Ekonomi dan Bisnis Universitas Indonesia, 2004
T20038
UI - Tesis Membership  Universitas Indonesia Library