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"Kota pulau memiliki keterbatasan lahan untuk menyeimbangkan antara pembangunan wilayah dan kelestarian lingkungannya. Masalah penelitian ini adalah potensi meningkatnya pemabangunan dan aktivitas manusia, karena peran Kota Ambon sebagai Pusat Kegiatan Nasional (PKN). Tujuan penelitian adalah menyusun konsep perencanaan tata ruang kota pulau berkelanjutan berdasarkan multi-bahaya bencana, daya dukung lingkungan dan konfigurasi ruang. Pendekatan yang digunakan secara kuantitatif dengan metode analisis Spatial Multi-Criteria Evaluation (SMCE), Simple Addittive Weighting (SAW), dan space syntax. Pendekatan kualitatif digunakan untuk mengevaluasi Rencana Tata Ruang Wilayah (RTRW) Kota Ambon Tahun 2012-2032 dengan hasil analisis yang sebelumnya dilakukan. Hasil penelitian menunjukkan pembangunan terjadi pada wilayah dengan daya dukung lingkungan tinggi, namun memiliki potensi multi-bahaya yang tinggi. Perlu menumbuhkan pusat pelayanan baru untuk mengurangi tekanan penduduk dan pengurangan risiko bencana pada pusat Kota Ambon pada Kecamatan Teluk Ambon.

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Population growth can lead to increased settlement areas. Problems in this study were increasing human activity in settlement development due to its proximity to Malang City, growth resulting in rapid land conversion, and Batu City was located upstream of the Brantas DAS and functions as a water catchment area. This study aimed to analyze the carrying capacity of the environment, social, economy, and develop the concept of settlement sustainable. The method used was geographic information systems method, statistical methods, and AHP. The results were the area of existing settlements that were unsuitable with land capability was greater than that which was suitable and water availability was currently a surplus. Analysis of social carrying capacity on livability is feasible, and the capacity to accommodate the current population has exceeded the population threshold. Batu District is an area with high economic and road density. In conclusion, developing the concept of sustainable settlements, that land capability was the most important to consider in developing settlement areas."

"Ibu Kota memiliki peran penting dalam menggambarkan seberapa besar kekuatan politik, kultural, dan ekonomi suatu negara. Apabila Ibu Kota suatu negara memiliki banyak masalah yang tidak terselesaikan, permasalahan tersebut dapat menjadi faktor–faktor yang memengaruhi suatu negara memindahkan Ibu Kotanya. Setelah ditelusuri, terdapat banyak negara yang pernah memindahkan Ibu Kotanya termasuk Indonesia. Tujuan dari penelitian ini adalah untuk membentuk model dan menganalisis faktor–faktor yang memengaruhi negara–negara di dunia memindahkan Ibu Kota dengan data yang mengandung masalah: 1. Outlier, 2. Missing values, 3. Data tak seimbang, 4. Multikolinearitas. Jika data mengandung masalah, maka model yang terbentuk menjadi tidak representatif dan sulit untuk diinterpretasikan. Sehingga diperlukan metode yang dapat digunakan untuk menangani 4 (empat) masalah tersebut, yaitu berturut-turut: 1. Quantile–Based Flooring Capping, 2. K–Nearest Neighbor, 3. Adaptive Synthetic (ADASYN), dan 4. Menerapkan model Least Absolute Shrinkage and Selection Operator (LASSO) pada regresi logistik. Hasilnya menunjukkan bahwa faktor yang memengaruhi suatu negara memindahkan Ibu Kotanya adalah ukuran populasi di Ibu Kota, populasi negara, luas area (km2), Usia Negara, sistem pemerintahan, Income Category, dan Sedangkan faktor yang tidak masuk ke dalam model yaitu Gross Domestic Product (GDP), Logistic Performance Index (LPI) Score, Regulatory Quality Index, dan E–Government Development Index adalah prediktor yang mengalami multikolinearitas, sehingga model LASSO pada regresi logistik berhasil menyusutkan prediktor tersebut menjadi 0. Adapun model akhir dari Least Absolute Shrinkage and Selection Operator (LASSO) pada regresi logistik yang diperoleh adalah g(x) = 0,3399 – 0,8019 POP_CITY + 3,5925 POP_COUNTRY + 0,3406 AREA – 0,0156 AIRPOL + 0,0679 GEI + 0,8351 PS_AVT – 0,5682 GOV_EFFECT – 1,8643 AGE – 0,7043 SYSTEM_A – 1,4408 SYSTEM_B – 0,7036 INCOME_A – 0,5272 INCOME_B – 3,7404 INCOME_C – 0,9489 ARCHIPELAGO.

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The capital city plays an important role in portraying how much political, cultural and economic power a country has. If the capital city has many unresolved problems, these problems can become factors that influence the country to move its capital city. After being traced, there are many countries that have moved their capital cities, including Indonesia. The purpose of this study is to model and analyze the factors that influence countries in the world to move its capital city with data containing problems: 1. Outliers, 2. Missing values, 3. Imbalanced data, 4. Multicollinearity. If the data contains these problems, the model formed becomes unrepresentative and difficult to interpret. Therefore, the methods that can be used to handle these 4 (four) problems, respectively: 1. Quantile-Based Flooring Capping, 2. K-Nearest Neighbor, 3. Adaptive Synthetic (ADASYN), and 4. Applying the Least Absolute Shrinkage and Selection Operator (LASSO) model in logistic regression. The results showed that the factors that influence a country to move its capital city are population size in the capital city, country population, area (km2), air pollution level (mg/m3), Global Entrepreneurship Index (GEI), Political Stability and No Violence/Terrorism Index, Government Effectiveness Index, Country Age, government system, Income Category, and whether a country is an archipelago or not. While the factors that did not enter the model, namely the Gross Domestic Product (GDP), Logistic Performance Index (LPI) Score, Regulatory Quality Index, and E-Government Development Index were predictors that experienced multicollinearity, so the LASSO model in logistic regression successfully shrinks these predictors to 0. The final Least Absolute Shrinkage and Selection Operator (LASSO) model in logistic regression obtained is g(x) = 0,3399 – 0,8019 POP_CITY + 3,5925 POP_COUNTRY + 0,3406 AREA – 0,0156 AIRPOL + 0,0679 GEI + 0,8351 PS_AVT – 0,5682 GOV_EFFECT – 1,8643 AGE – 0,7043 SYSTEM_A – 1,4408 SYSTEM_B – 0,7036 INCOME_A – 0,5272 INCOME_B – 3,740"

"Menipisnya ketersediaan air bersih yang tersimpan di lapisan akuifer bumi, keringnya permukaan akibat presipitasi yang tinggi oleh global warming, dan semakin tingginya kebutuhan akan air itu sendiri merupakan serangkaian krisis air yang saat ini sedang dialami. Salah satu pemicu terjadinya krisis tersebut adalah berkurangnya infrastruktur alami yang mampu memproses/mengelola siklus air, yaitu hutan. Karya perancangan arsitektur ini merupakan solusi spekulatif dalam merespon isu tersebut dengan metode biomimikri. Metode ini mengimitasi sistem untuk mengelola air pada hutan yang diasumsikan tidak hadir lagi di masa depan karena laju deforestasi yang terus naik. Studi yang dilakukan dimulai dari memahami struktur dan komponen hutan, anatomi, dan morfologi tumbuhan sebagai satu sistem spesifik dari tingkat organisme hingga sel. Kemudian merekonstruksikan komponen-komponen, yang memiliki peran dalam pengelolaan air, menjadi sebuah form mekanik yang seolah-olah diproduksi oleh teknologi ciptaan manusia. Form mekanik tersebut disusun dalam komposisi tektonika membentuk sistem modul yang bekerja layaknya komponen dalam hutan. Sistem air baru, hasil rekonstruksi, mengintervensi ruang-ruang kota secara spasial dan fungsional dalam pembentukan siklus air yang dapat mengakomodasi kebutuhan air dalam konteksnya.

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The depletion of clean water availability that is stored in the earth's aquifers, the dryness of the surface due to high precipitation owing to global warming, and the increasing demand for water itself are a series of water crises that are currently being experienced. One of the crisis triggers was the lack of natural infrastructure capable of processing/managing the water cycle, namely forests. This architectural design work is a speculative solution in responding to this issue with the biomimicry method, which is imitating a system for managing water in forests that are assumed to lose its existence in the future due to the ever-increasing rate of deforestation. The study was carried out starting from understanding the structure and components of the forest, anatomy, and morphology of plants as a specific system from the organism to the cell scale. Then reconstruct the components, which have a role in water management, into a mechanical form that seems to be produced by human-made technology. The mechanical forms are arranged in a tectonic composition to form a module system that works like components in a forest. ‘Planting’ the module in the middle of the city is an effort to convey a message of human greed, who is in power, in exploiting nature, accepting the impact of his actions and re-seeing the potential of nature as a solution presented. The new water system, a product of reconstruction, intervenes in urban spaces spatially and functionally in order to create a water cycle that is able to accommodate urban water needs."

"Living in the Endless City examines Mumbai, Sao Paolo and Istanbul through a series of essays by global scholars and thinkers, photographs illustrating key aspects of life in the three cities, and compellingly presented analytical data."