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"In the late 1990s, Vancouver's Downtown Eastside became the setting for three monuments - Crab Park Boulder, Marker of Change and Standing with Courage, Strength and Pride. The monuments were grassroots initiatives that challenged the norms of civic art by claiming a place in public space for society's most vulnerable groups, and each figured in debates about many kinds of violence. Emphasizing the resilience and agency of artists, activists and residents, this vivid account of the creation of memory-scapes offers unique insights into the links between power, public space and social memory. Adrienne L. Burk is a senior lecturer in the Department of Sociology and Anthropology at Simon Fraser University --"

"This article identifies haul, an annual commemoration of the death of charismatic figures, in Indonesia as political. The politicization of haul has been accompanied by a proliferation of narratives promoting the history of Hadhrami diaspora while strengthening the relationship between local Hadhramis and the local statesmen. This qualitative research examines the use of haul in Pontianak to commemorate selected syarif aristocrats. Pontianak, founded in the mid-eighteenth century by a syarif statesman, has a long-standing Hadhrami memory. Data for this study were collected through literature review, interviews, observation, and archival research related to Kadriah Sultanate’s haul events. The findings suggest that haul reshapes memories of the Kadriah Sultanate and Hadhrami identity for pragmatic purposes in local politics. By examining this case study of a commemorative religious event in the non-Arab world, it is shown that the local Arab sultanate redefines Hadhrami ethnic identity as nationalist, locally rooted, and heroic. Public haul festivals thus become effective tools for syarif politicians to exert influence in the religious and political spheres."

"This article identifies haul, an annual commemoration of the death of charismatic figures, in Indonesia as political. The politicization of haul has been accompanied by a proliferation of narratives promoting the history of Hadhrami diaspora while strengthening the relationship between local Hadhramis and the local statesmen. This qualitative research examines the use of haul in Pontianak to commemorate selected syarif aristocrats. Pontianak, founded in the mid-eighteenth century by a syarif statesman, has a long-standing Hadhrami memory. Data for this study were collected through literature review, interviews, observation, and archival research related to Kadriah Sultanate’s haul events. The findings suggest that haul reshapes memories of the Kadriah Sultanate and Hadhrami identity for pragmatic purposes in local politics. By examining this case study of a commemorative religious event in the non-Arab world, it is shown that the local Arab sultanate redefines Hadhrami ethnic identity as nationalist, locally rooted, and heroic. Public haul festivals thus become effective tools for syarif politicians to exert influence in the religious and political spheres."

"Saham merupakan salah satu surat berharga yang diterbitkan dan dijual oleh perusahaan,yang telah memenuhi syarat, di Bursa Efek Indonesia. Prinsip dasar yang dimiliki olehsaham adalah High Risk High Reward, yang menggambarkan bahwa saham memangdapat memiliki hasil yang besar, namun memiliki risiko yang tinggi pula. Denganprinsip High Risk High Reward, tentunya para investor harus lebih hati-hati dalammenentukan langkah yang akan mereka lakukan. Salah satu cara yang dapat digunakanuntuk mengurangi risiko, yaitu melakukan prediksi tren harga saham menggunakanMachine Learning. Menggunakan data historis saham pada Bursa Efek Indonesia,yaitu open, high, low, dan close price, algoritma Machine Learning dapat melakukanprediksi tren harga saham yang selanjutnya akan digunakan sebagai strategi investasipara investor. Terdapat banyak metode Machine Learning yang dapat digunakan untukmelakukan prediksi, salah satu metode yang dapat digunakan adalah Recurrent NeuralNetwork yaitu Long Short Term Memory (LSTM). Pada metode LSTM, data historisharga saham akan dibawa ke depan melalui seluruh gerbang LSTM yaitu: ForgetGate, Input Gate, dan Output Gate. Selanjutnya akan dicari nilai loss dari model,setelah didapat nilai loss, model akan ditinjau kembali setiap tahapannya, dimulai daribelakang. Langkah pengulangan tesebut dilakukan agar mendapat variabel Weight danBias yang optimal. Kemudian, tingkat akurasi dari metode tersebut akan ditentukanmenggunakan: Root Mean Square Error (RMSE) dan Mean Absolute Error (MAE).Penelitian ini menggunakan data historis perusahaan yang termasuk pada Indeks LQ45dan dapat diambil melalui website, finance.yahoo.com. Dari penelitian ini, diketahuibahwa, masing-masing masalah memiliki model terbaiknya, untuk penyelesaian masalahtersebut.

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Stock is a part of ownership of a company, that have fulfill the requirement to be sold at

Bursa Efek Indonesia. The basic principal of stock market is High Risk High Reward,

which describe that stock market indeed have a chance to get a great profit, but it also

come with a high risk. This principal is the reason that all investor must be cautious in

deciding their move. There’s many method to do this, with one of the being, forecasting

the stock market trend with machine learning. With the historical data, that include

open, high, low, dan close price, the machine learning algorithm, could forecast the stock

market direction for the next days, which will be one of the deciding factor for investor to

choose their move. Nowadays, there’s many machine learning method that can be used to

forecast, one of them is the branch method of Recurrent Neural Network, which is, Long

Short Term Memory (LSTM). LSTM use the historical data, and bring them forward to,

Forget Gate, Input Gate, Memory State, Output Gate. Then the loss value of the model

will be calculated. After all the process the model will be re-evaluated. The re-evaluation

step is to update all the weights and biases in the model. Then the accuracy of the model

will be evaluated with Root Mean Squared Error (RMSE) and Mean Absolute Error

(MAE). This study uses the historical data of the companys that’s included in the index

LQ45, and the data is taken from the website, finance.yahoo.com. From this research, it

is known that every problem has their own preference model to solve."

"Meningkatnya jumlah investor dari tahun ke tahun di pasar modal berbagai negara mengakibatkan proses pengambilan keputusan dalam membeli saham menjadi salah satu hal yang penting. Tahapan ini merupakan tahapan yang penting karena akan memengaruhi tingkat kekayaan atau pendapatan yang akan diterima oleh seorang investor. Dalam membantu proses pemilihan saham tersebut, seorang investor dapat menggunakan analisa teknikal atau analisa fundamental dalam prosesnya. Namun seiring dengan perkembangan teknologi dan juga kemudahan dalam mengakses data harga indeks saham, maka proses prediksi selanjutnya dapat dilakukan dengan menggunakan analisis big data dalam prosesnya. Penelitian ini akan dilakukan proses prediksi indeks harga saham dengan menggunakan ARIMA dan juga algoritma Long Short-Term Memory untuk pengolahan datanya dan metode web scraping untuk metode pengumpulan data harga indeks saham. Hasil dari penelitian menunjukkan nilai MAPE 1.243% untuk indeks JKSE, 1.005% untuk indeks KLSE, 1.923% untuk indeks PSEI, 1.523% untuk indeks SET.BK dan 3.7944% untuk indeks STI.

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The increasing number of investors from year to year in the capital markets of various countries has made the decision-making process in buying shares become one of the essential things. This stage is crucial because it will affect the level of wealth or income that an investor will receive. In helping the stock selection process, an investor can use technical analysis or fundamental analysis. However, along with technological developments and the ease of accessing stock index price data, the next prediction process can be carried out using big data analysis. This research will carry out the stock price index prediction process using ARIMA and the Long Short-Term Memory algorithm for data processing and web scraping methods for stock index price data collection methods. The study results showed that the MAPE value was 1.243% for the JKSE index, 1.005% for the KLSE index, 1.923% for the PSEI index, 1.523% for the SET.BK index and 3.7944% for the STI index."

"ABSTRAKMemori dan sejarah kerap dikaitkan satu sama lain karena berkaitan erat dengan waktu, padahal keduanya adalah hal yang berbeda. Sebuah kota yang berdiri sejak dahulu, mengalami berbagai kejadian pada setiap waktunya sehingga memiliki memori dan sejarahnya sendiri yang membuat kota tersebut berbeda dari yang lainnya. Dalam hal ini keduanya berperan dalam membangun ruang urban dalam sebuah kota. Tetapi dalam perwujudannya, seringkali hanya menjadi representasi tanpa ingatan dari masyarakat pada kota tersebut, bahkan seringkali hanya menjadi ldquo;pemanis rdquo; bagian komersial, atau memori kolektif dari sebuah kota sudah tergantikan oleh memori personal dari masyarakat. Namun apakah penggunaan memori di dalam ruang urban masih relevan?Dalam skripsi ini saya mempertanyakan kembali apakah penggunaan memori dalam kota masih relevan atau tidak. Kebanyakan masyarakat Jakarta dengan rentang usia 17-26 tahun tidak mengetahui sejarah dan tujuan pembangunan Bundaran HI, terdapat dua kemungkinan dalam pelupaan yang terjadi di dalamnya, apakah karena rentang waktu yang memang terlalu jauh tetapi juga dapat disebabkan rancangan kota yang ada di dalamnya tidak mendukung proses pengingatan terjadi. Dalam skripsi ini saya mencoba melihat Bundaran HI melalui teori Rossi, Boyer, dan Borden, bagaimana keterkaitan antara lokasi yang dipilih dengan makna yang ada di baliknya, keterkaitan antara jalan dengan lokasi-lokasi lainnya, dan juga perkembangan dari monumen itu sendiri, apakah mendukung proses pengingatan tersebut atau tidak sama sekali.

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ABSTRACTMemory and history are often linked to each other because they are related to time eventhough they are slightly different. Since the time it was built, a city has been experiencing various of events so it has its own memory and history that makes the uniqueness of the city. Both history and memory have their roles to build urban space in the city. But in its constructing process, the city often just a mere representation without the memory of the society, and often used for an ldquo additional sweetener rdquo of the commercial part, or replaced the collective memory the city has had to personal memory of individual in society. But is using memory in urban space still relevant In this thesis, I seek for the use of memory in the city, whether if it rsquo s still relevant or not relevant. Most of Jakarta youngsters aged 17 26 years do not know the history and the meaning behind the construction of Bundaran HI, and there are two possibilities why are they forgetting the history whether they are not yet existed when it happened, or because the design itself doesn rsquo t support people to remember its history. Therefore, I try to see the design of Bundaran HI through the theory of Rossi, Boyer, and Borden how the location linked to its meaning, to the link between the street and other locations, and to the monument itself, whether the design supports the remembering process, or the design gives no chance to be remembered."