Knowosphere
Revkin’s ‘Knowosphere’: through communication, collaboration | SmartPlanet
07 October 2011
03 October 2011
Mining Weather Information in Dengue Outbreak: Predicting Future Cases Based on Wavelet, SVM and GA
Mining Weather Information in Dengue Outbreak: Predicting Future Cases Based on Wavelet, SVM and GA
SpringerLink - Abstract
SpringerLink - Abstract
26 September 2011
SEARCH ENGINE MENGGUNAKAN METODE LATENT SEMANTIC INDEXING
ITHB, 2011
SEARCH ENGINE MENGGUNAKAN METODE LATENT SEMANTIC INDEXING
Oleh :
YOFI TOPAN KUSUMA
1105076
Pembimbing :
Prof. The Houw Liong
Ir. Inge Martina, MT.
ABSTRAK
Search Engine memegang peranan penting dalam perkembangan pencarian informasi – informasi melalui jaringan internet. Perkembangan teknologi Search engine pun semakin pesat. Salah satu keunggulan Google yaitu penggunaan algoritma yang lebih kompleks sehingga dalam setiap pencarian, Google mampu menghasilkan hasil pencarian yang lebih banyak dengan penggunaan waktu yang lebih singkat. Salah satu metode yang digunakan adalah metode indexing. Saat ini Google telah mengembangkan metode baru yang mampu mempermudah penyaringan informasi yang disebut Latent Semantic Indexing.
Ada beberapa metode yang digunakan untuk proses pencarian ini, antara lain: Term Frekuensi, Inverse Document Frekuensi, Stemming, Stopword, Cosines Similiarity Serta Latent Semantic Indexing menggunakan Singular Value Decomposition.
Penelitian ini bertujuan meningkatkan ketepatan mesin pencari dalam pencarian dokumen agar hasil pencarian dokumen lebih mendekati dengan kebutuhan pengguna. Pencarian dengan input kata kunci menggunakan indeks dokumen berdasarkan pembobotan/term weighting. Pada pencarian semantik akan dimunculkan pilihan kombinasi kata kunci pada konsep domain yang berbeda pada dokumen yang sudah ditentukan.
Kata Kunci : Search Engine, Latent Semantic Indexing. Term Frekuensi, Inverse Document Frekuensi, Singular Value Decomposition.
SEARCH ENGINE MENGGUNAKAN METODE LATENT SEMANTIC INDEXING
Oleh :
YOFI TOPAN KUSUMA
1105076
Pembimbing :
Prof. The Houw Liong
Ir. Inge Martina, MT.
ABSTRAK
Search Engine memegang peranan penting dalam perkembangan pencarian informasi – informasi melalui jaringan internet. Perkembangan teknologi Search engine pun semakin pesat. Salah satu keunggulan Google yaitu penggunaan algoritma yang lebih kompleks sehingga dalam setiap pencarian, Google mampu menghasilkan hasil pencarian yang lebih banyak dengan penggunaan waktu yang lebih singkat. Salah satu metode yang digunakan adalah metode indexing. Saat ini Google telah mengembangkan metode baru yang mampu mempermudah penyaringan informasi yang disebut Latent Semantic Indexing.
Ada beberapa metode yang digunakan untuk proses pencarian ini, antara lain: Term Frekuensi, Inverse Document Frekuensi, Stemming, Stopword, Cosines Similiarity Serta Latent Semantic Indexing menggunakan Singular Value Decomposition.
Penelitian ini bertujuan meningkatkan ketepatan mesin pencari dalam pencarian dokumen agar hasil pencarian dokumen lebih mendekati dengan kebutuhan pengguna. Pencarian dengan input kata kunci menggunakan indeks dokumen berdasarkan pembobotan/term weighting. Pada pencarian semantik akan dimunculkan pilihan kombinasi kata kunci pada konsep domain yang berbeda pada dokumen yang sudah ditentukan.
Kata Kunci : Search Engine, Latent Semantic Indexing. Term Frekuensi, Inverse Document Frekuensi, Singular Value Decomposition.
PERANCANGAN AWAL APLIKASI WEB MINING UNTUK MENGANALISA WEBSITE PERGURUAN TINGGI
ITHB, 2011
PERANCANGAN AWAL APLIKASI WEB MINING UNTUK MENGANALISA WEBSITE PERGURUAN TINGGI
TUGAS AKHIR
Diajukan sebagai syarat untuk menyelesaikan
Program Studi Strata-1 Departemen Teknik Informatika
Oleh :
AMORSA ERLOSIMA PRIANDA
1106056
Pembimbing :
Prof. The Houw Liong
NIK. 105042
Ir. Inge Martina, MT.
NIK. 107013
ABSTRAK
Pada saat ini sumber informasi bisa kita dapatkan dari banyak sumber, salah satu nya dengan website. Dalam suatu situs dalam dunia maya dapat berisi berbagai macam konten yang dapat kita jadikan acuan sebagai sumber informasi. Begitu pula dengan website yang ada dalam perguruan tinggi, isi dari halaman web yang terdapat dari situs perguruan tinggi juga dapat dijadikan suatu acuan dalam penilaian peringkat universitas tersebut di dunia. Webometrics merupakan salah satu acuan peringkat universitas dunia yang menilai konten yang ada di dalam suatu situs perguruan tinggi. Untuk dapat menilai isi halaman website tersebut maka isi dari halaman web tersebut harus dianalisis terlebih dahulu, apakah halaman tersebut masuk ke dalam kriteria penilaian dalam webometrics. Untuk dapat menganalisis halaman web tersebut maka digunakan metode web mining untuk mengambil informasi yang ada di halaman web , dan kemudian setiap halaman tersebut akan di klasifikasikan dan di kelompokkan menggukanan algoritma k-means.
Pembuatan tugas akhir ini bertujuan untuk dapat menganalisa suatu halaman web dari situs perguruan tinggi kemudian mengkategorikan halaman tersebut kedalam kategori tertentu berdasarkan pembobotan dari kemunculan setiap kata kunci (keyword) . Dan halaman yang sudah di klasifikasi tersebut dikelompokkan berdasarkan kategori masing-masing dengan algoritma k-means
Kata Kunci : web mining, algoritma k-means, webometrics, keyword, bobot.
PERANCANGAN AWAL APLIKASI WEB MINING UNTUK MENGANALISA WEBSITE PERGURUAN TINGGI
TUGAS AKHIR
Diajukan sebagai syarat untuk menyelesaikan
Program Studi Strata-1 Departemen Teknik Informatika
Oleh :
AMORSA ERLOSIMA PRIANDA
1106056
Pembimbing :
Prof. The Houw Liong
NIK. 105042
Ir. Inge Martina, MT.
NIK. 107013
ABSTRAK
Pada saat ini sumber informasi bisa kita dapatkan dari banyak sumber, salah satu nya dengan website. Dalam suatu situs dalam dunia maya dapat berisi berbagai macam konten yang dapat kita jadikan acuan sebagai sumber informasi. Begitu pula dengan website yang ada dalam perguruan tinggi, isi dari halaman web yang terdapat dari situs perguruan tinggi juga dapat dijadikan suatu acuan dalam penilaian peringkat universitas tersebut di dunia. Webometrics merupakan salah satu acuan peringkat universitas dunia yang menilai konten yang ada di dalam suatu situs perguruan tinggi. Untuk dapat menilai isi halaman website tersebut maka isi dari halaman web tersebut harus dianalisis terlebih dahulu, apakah halaman tersebut masuk ke dalam kriteria penilaian dalam webometrics. Untuk dapat menganalisis halaman web tersebut maka digunakan metode web mining untuk mengambil informasi yang ada di halaman web , dan kemudian setiap halaman tersebut akan di klasifikasikan dan di kelompokkan menggukanan algoritma k-means.
Pembuatan tugas akhir ini bertujuan untuk dapat menganalisa suatu halaman web dari situs perguruan tinggi kemudian mengkategorikan halaman tersebut kedalam kategori tertentu berdasarkan pembobotan dari kemunculan setiap kata kunci (keyword) . Dan halaman yang sudah di klasifikasi tersebut dikelompokkan berdasarkan kategori masing-masing dengan algoritma k-means
Kata Kunci : web mining, algoritma k-means, webometrics, keyword, bobot.
18 September 2011
16 September 2011
Physics of the Impossible
Physics of the Impossible indicate the contribution of physics to mankind in the future.
Michio Kaku
Michio Kaku
14 September 2011
10 September 2011
27 August 2011
A sunshine limit to growth
A sunshine limit to growth
William Rees
The following is a brief extract from a much longer article, entitled 'The Ecology of Sustainable Development' by William Rees, which appeared in Volume 20, No 1, of the Ecologist (L3, or L18 subscription, from Worthyvale Manor, Camelford, Cornwall, PL32 9TT, tel 01840 212711).
The Second Law of Thermodynamics states that in any closed isolated system, available energy and matter are continuously and irrevocably degraded to the unavailable state. Since the global economy operates within an essentially closed system, the Second Law (the entropy law) is actually the ultimate regulator of economic activity.
'Any form of economic activity dependent on material resources therefore contributes to a constant increase in global net entropy'
All modern economies are dependent on fixed stocks of non-renewable material and energy resources. The Second Law therefore declares that they necessarily consume and degrade the very resource base which sustains them. Our material economies treat other components of the biosphere as resources, and all the products of economic activity (that is both the by-products of manufacturing and the final consumer goods) are eventually returned to the biosphere as waste. Thus, while we like to think of our economies as dynamic, productive systems, the Second Law states that in thermodynamic terms, all material economic 'production' is in fact 'consumption'. Any form of economic activity dependent on material resources therefore contributes to a constant increase in global net entropy (disorder), through the continuous dissipation of available energy and matter. It follows that contrary to the assumptions of neo-classical theory:
- There is no equilibrium in the energy and material relationships between industrial economies and the biosphere;
- Sustainable development based on prevailing patterns of resource use is not even theoretically conceivable.
The thermodynamic interpretation of the economic process therefore suggests a new definition of sustainable development which contrasts radically with present practice: sustainable development is development that minimises resource use and the increase in global entropy.
Eco-systems, unlike economic systems, are driven by an external source of energy - the sun. The steady stream of solar energy sustains essentially all biological diversity and makes possible the diversity of life on earth. Through photosynthesis, living systems concentrate simple dispersed chemicals and use them to synthesise the most complex substances known. Thus, in contrast to economic systems, eco-systems steadily contribute to the accumulation of concentrated energy, matter and order within the biosphere. In thermodynamic terms, photosynthesis is the most important materially productive process on the planet and it is the ultimate source of all renewable resources used by the human economy. Moreover, since the flow of solar radiation is constant, steady and reliable, resource production in the ecological sector is potentially sustainable over any time scale relevant to humanity. Ecological productivity is limited, however, by the availability of nutrients, photosynthetic efficiency, and ultimately the rate of energy input (the 'solar flux') itself. Eco-systems therefore do not grow indefinitely. Unlike the economy, which expands through resource conversion and positive feedback, eco-systems are held in 'steady-state' or dynamic equilibrium by limiting factors and negative feedback.
'Eco-systems, unlike economic systems, are driven by an external source of energy - the sun'
The consumption of ecological resources everywhere has begun to exceed sustainable rates of biological production. Nearly 40 per cent of terrestrial net primary productivity (photosynthesis) is already being used or co-opted by humans, one species among millions, and the fraction is steadily increasing.
'Biosphere resources are becoming increasingly scarce and there are no substitutes'
At present, markets do not even recognise such factors as nutrient recycling, soil building, atmosphere maintenance and climate stabilisation as resources. Thus, while market economics can usually price the scarce material inputs to manufacturing, it is virtually silent on the value of biosphere processes. Not surprisingly, it is these more critical resources that are becoming increasingly scarce and there are no substitutes.
'Any human activity cannot be sustained indefinitely if it uses not only the annual production of the biosphere (the 'interest') but also cuts into the standing stock (the 'capital')'
Clearly, any human activity dependent on the consumptive use of ecological resources (forestry, fisheries, agriculture, waste disposal, urban sprawl onto agricultural land) cannot be sustained indefinitely if it uses not only the annual production of the biosphere (the 'interest') but also cuts into the standing stock (the 'capital'). Herein lies the essence of our environmental crisis. Persistent trends in key ecological variables indicate that we have not only been living off the interest but also con-suming our ecological capital. This is the inevitable consequence of exponential material growth in a finite environment. In short, the global economy is cannibalising the biosphere.
This means that much of our wealth is illusion. We have simply drawn down one account (the biosphere) to add to another (material wealth). It might even be argued that we have been collectively impoverished in the process. Much potentially renewable ecological capital has been permanently converted into machinery, plant and possessions that will eventually wear out and have to be replaced at the cost of additional resources.
Heilbroner has noted that the origin of surplus in the era of industrial capitalism 'has gradually moved from trade through direct wage labour exploitation toward technological rents, and that modern-day profits consist of combinations of all three.' We can now add a fourth profit source to Heilbroner's list; the irreversible conversion of biological resources.
For human society, carrying capacity can be defined as the maximum rate of resource consumption and waste discharge that can be sustained indefinitely without progressively impairing ecological productivity and integrity. The corresponding maximum human population is therefore a function of per capita rates of resource consumption and waste production.
'Hence we are within one population doubling of the 'sunshine limit' to growth and at present rates will reach that limit in 35 years'
Through a thermodynamic analysis of food production, Bryson has estimated that about 900 square metres of cropland are required to produce the average per capita food energy requirements assuming year round cropping. With an average growing season of only 180 days, each hectare of agricultural land will theoretically support about 5.5 people. The present world population density is about 3 persons per arable hectare. Hence we are within one population doubling of the 'sunshine limit' to growth and at present rates will reach that limit in 35 years.
It should be understood that while human society depends on many ecological resources and functions for survival, carrying capacity is ultimately determined by the single vital resource or function in least supply. (On the global scale, loss of the ozone layer alone could conceivably lead to the extinction of the human species.)
Such considerations call seriously to question the Brundtland Commission's route to sustainable development through a five-to-ten-fold increase in industrial activity. Indeed, it forces a reconsideration of the entire material growth ethic, the central pillar of industrial society.
William E. Rees, Ph.D., Associate Professor of Planning and Resource Ecology, University of British Columbia, School of Community and Regional Planning, 6333 Memorial Road, Vancouver, BC, Canada V6T 1W5.
William Rees
The following is a brief extract from a much longer article, entitled 'The Ecology of Sustainable Development' by William Rees, which appeared in Volume 20, No 1, of the Ecologist (L3, or L18 subscription, from Worthyvale Manor, Camelford, Cornwall, PL32 9TT, tel 01840 212711).
The Second Law of Thermodynamics states that in any closed isolated system, available energy and matter are continuously and irrevocably degraded to the unavailable state. Since the global economy operates within an essentially closed system, the Second Law (the entropy law) is actually the ultimate regulator of economic activity.
'Any form of economic activity dependent on material resources therefore contributes to a constant increase in global net entropy'
All modern economies are dependent on fixed stocks of non-renewable material and energy resources. The Second Law therefore declares that they necessarily consume and degrade the very resource base which sustains them. Our material economies treat other components of the biosphere as resources, and all the products of economic activity (that is both the by-products of manufacturing and the final consumer goods) are eventually returned to the biosphere as waste. Thus, while we like to think of our economies as dynamic, productive systems, the Second Law states that in thermodynamic terms, all material economic 'production' is in fact 'consumption'. Any form of economic activity dependent on material resources therefore contributes to a constant increase in global net entropy (disorder), through the continuous dissipation of available energy and matter. It follows that contrary to the assumptions of neo-classical theory:
- There is no equilibrium in the energy and material relationships between industrial economies and the biosphere;
- Sustainable development based on prevailing patterns of resource use is not even theoretically conceivable.
The thermodynamic interpretation of the economic process therefore suggests a new definition of sustainable development which contrasts radically with present practice: sustainable development is development that minimises resource use and the increase in global entropy.
Eco-systems, unlike economic systems, are driven by an external source of energy - the sun. The steady stream of solar energy sustains essentially all biological diversity and makes possible the diversity of life on earth. Through photosynthesis, living systems concentrate simple dispersed chemicals and use them to synthesise the most complex substances known. Thus, in contrast to economic systems, eco-systems steadily contribute to the accumulation of concentrated energy, matter and order within the biosphere. In thermodynamic terms, photosynthesis is the most important materially productive process on the planet and it is the ultimate source of all renewable resources used by the human economy. Moreover, since the flow of solar radiation is constant, steady and reliable, resource production in the ecological sector is potentially sustainable over any time scale relevant to humanity. Ecological productivity is limited, however, by the availability of nutrients, photosynthetic efficiency, and ultimately the rate of energy input (the 'solar flux') itself. Eco-systems therefore do not grow indefinitely. Unlike the economy, which expands through resource conversion and positive feedback, eco-systems are held in 'steady-state' or dynamic equilibrium by limiting factors and negative feedback.
'Eco-systems, unlike economic systems, are driven by an external source of energy - the sun'
The consumption of ecological resources everywhere has begun to exceed sustainable rates of biological production. Nearly 40 per cent of terrestrial net primary productivity (photosynthesis) is already being used or co-opted by humans, one species among millions, and the fraction is steadily increasing.
'Biosphere resources are becoming increasingly scarce and there are no substitutes'
At present, markets do not even recognise such factors as nutrient recycling, soil building, atmosphere maintenance and climate stabilisation as resources. Thus, while market economics can usually price the scarce material inputs to manufacturing, it is virtually silent on the value of biosphere processes. Not surprisingly, it is these more critical resources that are becoming increasingly scarce and there are no substitutes.
'Any human activity cannot be sustained indefinitely if it uses not only the annual production of the biosphere (the 'interest') but also cuts into the standing stock (the 'capital')'
Clearly, any human activity dependent on the consumptive use of ecological resources (forestry, fisheries, agriculture, waste disposal, urban sprawl onto agricultural land) cannot be sustained indefinitely if it uses not only the annual production of the biosphere (the 'interest') but also cuts into the standing stock (the 'capital'). Herein lies the essence of our environmental crisis. Persistent trends in key ecological variables indicate that we have not only been living off the interest but also con-suming our ecological capital. This is the inevitable consequence of exponential material growth in a finite environment. In short, the global economy is cannibalising the biosphere.
This means that much of our wealth is illusion. We have simply drawn down one account (the biosphere) to add to another (material wealth). It might even be argued that we have been collectively impoverished in the process. Much potentially renewable ecological capital has been permanently converted into machinery, plant and possessions that will eventually wear out and have to be replaced at the cost of additional resources.
Heilbroner has noted that the origin of surplus in the era of industrial capitalism 'has gradually moved from trade through direct wage labour exploitation toward technological rents, and that modern-day profits consist of combinations of all three.' We can now add a fourth profit source to Heilbroner's list; the irreversible conversion of biological resources.
For human society, carrying capacity can be defined as the maximum rate of resource consumption and waste discharge that can be sustained indefinitely without progressively impairing ecological productivity and integrity. The corresponding maximum human population is therefore a function of per capita rates of resource consumption and waste production.
'Hence we are within one population doubling of the 'sunshine limit' to growth and at present rates will reach that limit in 35 years'
Through a thermodynamic analysis of food production, Bryson has estimated that about 900 square metres of cropland are required to produce the average per capita food energy requirements assuming year round cropping. With an average growing season of only 180 days, each hectare of agricultural land will theoretically support about 5.5 people. The present world population density is about 3 persons per arable hectare. Hence we are within one population doubling of the 'sunshine limit' to growth and at present rates will reach that limit in 35 years.
It should be understood that while human society depends on many ecological resources and functions for survival, carrying capacity is ultimately determined by the single vital resource or function in least supply. (On the global scale, loss of the ozone layer alone could conceivably lead to the extinction of the human species.)
Such considerations call seriously to question the Brundtland Commission's route to sustainable development through a five-to-ten-fold increase in industrial activity. Indeed, it forces a reconsideration of the entire material growth ethic, the central pillar of industrial society.
William E. Rees, Ph.D., Associate Professor of Planning and Resource Ecology, University of British Columbia, School of Community and Regional Planning, 6333 Memorial Road, Vancouver, BC, Canada V6T 1W5.
Solar Effects on Weather and Climate in the Indonesian Archipelago
Aprim, 2003
Solar Effects on Weather and Climate in the Indonesian Archipelago
The Houw Liong1)
Plato Martuani Siregar2)
Iratius Radiman3)
1)Departemen Fisika, FMIPA-ITB
2)Departemen GM , FIKTM-ITB
3)Departemen Astronomi, FMIPA-ITB
Abstract
From various stations at Geographic Latitudes from 60N to 100S throughout the Indonesian Archipelago, anomalies of Rainfall and Irradiance were collected and plotted to those of the Monthly Sunspot Number between 1948 and 2003. It is shown that there is a tight correlation between solar activity and the various geophysical variables, such as the mean temperature of Earth, the cloud cover, the sea surface temperature and the rainfall throughout the region. It is also found that there is a weak correlation between the coefficients of correlation obtained from various plots of the Number of Sunspot to Irradiance, the Irradiance to Rainfall and The Number of Sunspot to Rainfall from each station against the Geomagnetic Latitude of the stations. The coefficients of correlations increase as we go to higher Geomagnetic Latitudes. The ability of cosmic ray particles to penetrate is limited by the earth's magnetic field. In addition during solar activity the magnetic field of the solar wind increases and diminishes strongly the flux of cosmic rays. The earth's magnetic field forms a shield against charged particles everywhere except for those entering around the magnetic poles. Fields near the equator are very efficient in shielding cosmic ray penetration, because it is parallel to the earth's surface. At higher latitudes it will be less shielded, because the fields are more vertical. If it is true that a correlation exist between cosmic rays, formation of clouds and climate as some researchers suggest, than, this may well explain the marked increase of the coefficients of correlations, thus the stronger dependency of the events at higher magnetic latitudes.
This research shows that the knowledge of solar activity can be used to predict extreme weather in Indonesia.
This is the initial study at ITB to embark and promote researches on Solar Effects on Weather and Climate in the Indonesian Archipelago.
Keywords: solar cycle, geomagnetic effects, solar activity, extreme weather.
Solar Effects on Weather and Climate in the Indonesian Archipelago
The Houw Liong1)
Plato Martuani Siregar2)
Iratius Radiman3)
1)Departemen Fisika, FMIPA-ITB
2)Departemen GM , FIKTM-ITB
3)Departemen Astronomi, FMIPA-ITB
Abstract
From various stations at Geographic Latitudes from 60N to 100S throughout the Indonesian Archipelago, anomalies of Rainfall and Irradiance were collected and plotted to those of the Monthly Sunspot Number between 1948 and 2003. It is shown that there is a tight correlation between solar activity and the various geophysical variables, such as the mean temperature of Earth, the cloud cover, the sea surface temperature and the rainfall throughout the region. It is also found that there is a weak correlation between the coefficients of correlation obtained from various plots of the Number of Sunspot to Irradiance, the Irradiance to Rainfall and The Number of Sunspot to Rainfall from each station against the Geomagnetic Latitude of the stations. The coefficients of correlations increase as we go to higher Geomagnetic Latitudes. The ability of cosmic ray particles to penetrate is limited by the earth's magnetic field. In addition during solar activity the magnetic field of the solar wind increases and diminishes strongly the flux of cosmic rays. The earth's magnetic field forms a shield against charged particles everywhere except for those entering around the magnetic poles. Fields near the equator are very efficient in shielding cosmic ray penetration, because it is parallel to the earth's surface. At higher latitudes it will be less shielded, because the fields are more vertical. If it is true that a correlation exist between cosmic rays, formation of clouds and climate as some researchers suggest, than, this may well explain the marked increase of the coefficients of correlations, thus the stronger dependency of the events at higher magnetic latitudes.
This research shows that the knowledge of solar activity can be used to predict extreme weather in Indonesia.
This is the initial study at ITB to embark and promote researches on Solar Effects on Weather and Climate in the Indonesian Archipelago.
Keywords: solar cycle, geomagnetic effects, solar activity, extreme weather.
25 August 2011
22 August 2011
18 August 2011
17 August 2011
Sean Carroll on the arrow of time (Part 1) | Video on TED.com
Entropy of the Universe always increases
Sean Carroll on the arrow of time (Part 1) | Video on TED.com
Sean Carroll on the arrow of time (Part 1) | Video on TED.com
15 August 2011
PENGGUNAAN CLUSTERING DALAM ANALISIS POTENTIAL BUYER PROPERTY
ITHB, 2011
PENGGUNAAN CLUSTERING DALAM ANALISIS POTENTIAL BUYER PROPERTY
Christian Hermawan
NIM : 1107011
Pembimbing
Prof. The Houw Liong, Ph.D.
Herastia Maharani, MT.
ABSTRAK
Usaha di bidang properti saat ini mengalami kemajuan yang sangat pesat, terbukti dengan banyaknya developer yang membangun banyak proyek, mulai dari town house, apartemen, dll. Untuk menemukan buyer para marketing pada umumnya hanya membagikan selebaran, iklan dimana-mana sehingga kurang efisien dalam tenaga, biaya dan waktu. Marketing membutuhkan suatu aplikasi yang dapat membantu dalam menghemat tenaga, biaya dan waktu.
Data mining merupakan salah satu solusi yang dapat digunakan untuk menangani masalah yang dialami oleh marketing pemasaran property. Dengan menggunakan metode clustering, maka data buyer dan property dapat di-cluster sesuai dengan karakteristiknya. Dari hasil cluster, dapat dianalisis kecocokan antara setiap pasangan cluster buyer dan property. Tugas akhir ini bertujuan untuk membuat aplikasi dengan melakukan clustering terhadap data buyer dan property, kemudian disesuaikan dengan rule pakar property sehingga dapat menentukan potential buyer dan potential property. Dengan demikian diharapkan aktivitas marketing property dapat lebih efisien dari sisi tenaga, biaya dan waktu.
Dari hasil pengujian yang dilakukan terhadap sistem yang dikembangkan, dapat dilihat bahwa sistem dapat memberikan hasil kesimpulan dan penjelasan yang baik dan sesuai dengan data yang dimasukkan oleh pengguna aplikasi. Sistem ini juga telah diuji oleh pakar dari [X]PRO Realty dengan hasil yang baik dan cukup memuaskan.
Kata Kunci : data mining, pembeli berpotensi, properti berpotensi, clustering
PENGGUNAAN CLUSTERING DALAM ANALISIS POTENTIAL BUYER PROPERTY
Christian Hermawan
NIM : 1107011
Pembimbing
Prof. The Houw Liong, Ph.D.
Herastia Maharani, MT.
ABSTRAK
Usaha di bidang properti saat ini mengalami kemajuan yang sangat pesat, terbukti dengan banyaknya developer yang membangun banyak proyek, mulai dari town house, apartemen, dll. Untuk menemukan buyer para marketing pada umumnya hanya membagikan selebaran, iklan dimana-mana sehingga kurang efisien dalam tenaga, biaya dan waktu. Marketing membutuhkan suatu aplikasi yang dapat membantu dalam menghemat tenaga, biaya dan waktu.
Data mining merupakan salah satu solusi yang dapat digunakan untuk menangani masalah yang dialami oleh marketing pemasaran property. Dengan menggunakan metode clustering, maka data buyer dan property dapat di-cluster sesuai dengan karakteristiknya. Dari hasil cluster, dapat dianalisis kecocokan antara setiap pasangan cluster buyer dan property. Tugas akhir ini bertujuan untuk membuat aplikasi dengan melakukan clustering terhadap data buyer dan property, kemudian disesuaikan dengan rule pakar property sehingga dapat menentukan potential buyer dan potential property. Dengan demikian diharapkan aktivitas marketing property dapat lebih efisien dari sisi tenaga, biaya dan waktu.
Dari hasil pengujian yang dilakukan terhadap sistem yang dikembangkan, dapat dilihat bahwa sistem dapat memberikan hasil kesimpulan dan penjelasan yang baik dan sesuai dengan data yang dimasukkan oleh pengguna aplikasi. Sistem ini juga telah diuji oleh pakar dari [X]PRO Realty dengan hasil yang baik dan cukup memuaskan.
Kata Kunci : data mining, pembeli berpotensi, properti berpotensi, clustering
10 August 2011
09 August 2011
SISTEM PAKAR PENYAKIT KULIT INFEKSI JAMUR MENGGUNAKAN BACKWARD CHAINING DENGAN BEST-FIRST SEARCH
ITHB, 2011
SISTEM PAKAR PENYAKIT KULIT INFEKSI JAMUR MENGGUNAKAN BACKWARD CHAINING DENGAN BEST-FIRST SEARCH
Martinus Elvin
Pembimbing :
Prof. Dr. The Houw Liong
Ernestasia R. Siahaan, S.T.
ABSTRAK
Kemajuan ilmu kedokteran akan semakin baik bila didukung oleh perkembangan teknologi komputer. Salah satu cabang ilmu komputer yang mendukung dan banyak digunakan di dunia kedokteran adalah sistem pakar. Sistem pakar ini dapat membantu dokter dalam mengambil keputusan dalam mendiagnosa penyakit, sehingga dapat memberi solusi yang tepat kepada pasiennya.
Berdasarkan permasalahan dan batasan-batasan yang ada, maka dilakukanlah penelitian dengan membuat sebuah sistem pakar yang terbatas pada domain penyakit kulit, yang juga dibatasi hanya pada infeksi yang disebabkan oleh jamur.
Sistem pakar ini dibangun menggunakan metode backward chaining dan teknik penelusuran best-first search Untuk itu, digunakan data statisik dari penyakit dan gejala sebagai rating, dimana penyakit dan gejala yang akan ditanyakan diurutkan dari rating tertinggi ke rating yang terendah.
Dari hasil pengujian yang dilakukan terhadap sistem yang dikembangkan, dapat dilihat bahwa sistem dapat memberikan hasil kesimpulan dan penjelasan yang baik dan sesuai dengan gejala yang dipilih oleh pasien. Sistem ini juga telah diuji oleh pakar dari RS Immanuel dengan hasil yang baik dan cukup memuaskan.
Kata Kunci : sistem pakar, penyakit kulit, infeksi jamur, backward chaining, best-first search
SISTEM PAKAR PENYAKIT KULIT INFEKSI JAMUR MENGGUNAKAN BACKWARD CHAINING DENGAN BEST-FIRST SEARCH
Martinus Elvin
Pembimbing :
Prof. Dr. The Houw Liong
Ernestasia R. Siahaan, S.T.
ABSTRAK
Kemajuan ilmu kedokteran akan semakin baik bila didukung oleh perkembangan teknologi komputer. Salah satu cabang ilmu komputer yang mendukung dan banyak digunakan di dunia kedokteran adalah sistem pakar. Sistem pakar ini dapat membantu dokter dalam mengambil keputusan dalam mendiagnosa penyakit, sehingga dapat memberi solusi yang tepat kepada pasiennya.
Berdasarkan permasalahan dan batasan-batasan yang ada, maka dilakukanlah penelitian dengan membuat sebuah sistem pakar yang terbatas pada domain penyakit kulit, yang juga dibatasi hanya pada infeksi yang disebabkan oleh jamur.
Sistem pakar ini dibangun menggunakan metode backward chaining dan teknik penelusuran best-first search Untuk itu, digunakan data statisik dari penyakit dan gejala sebagai rating, dimana penyakit dan gejala yang akan ditanyakan diurutkan dari rating tertinggi ke rating yang terendah.
Dari hasil pengujian yang dilakukan terhadap sistem yang dikembangkan, dapat dilihat bahwa sistem dapat memberikan hasil kesimpulan dan penjelasan yang baik dan sesuai dengan gejala yang dipilih oleh pasien. Sistem ini juga telah diuji oleh pakar dari RS Immanuel dengan hasil yang baik dan cukup memuaskan.
Kata Kunci : sistem pakar, penyakit kulit, infeksi jamur, backward chaining, best-first search
01 August 2011
29 July 2011
26 July 2011
19 July 2011
THE PREDICTION OF DENGUE HAEMORRAGIC FEVER (DHF) IN CIMAHI
The 3rd International Conference on Electrical Engineering and Informatics (ICEEI 2011)
THE PREDICTION OF DENGUE HAEMORRAGIC FEVER (DHF) IN CIMAHI
USING HYBRID GENETIC ALGORITHM AND FUZZY LOGIC
Fhira Nhita,ST 1, Prof.Thee Houw Liong 2, Shaufiah,MT 3
1,3 Informatics Program Study in Telkom Institute of Technology
2 Bandung Institute of Technology
1 fhiranhita@yahoo.com, 2 houwthee@yahoo.co.id,
3 shaufiah@gmail.com
Abstrak
Kejadian Demam Berdarah Dengue (DBD) merupakan masalah nasional di bidang kesehatan. Setiap tahun angka kesakitan DBD masih tinggi. Khususnya di Cimahi, salah satu kota di provinsi Jawa Barat dimana angka kesakitan (Incidence Rate) tahun 2005 hingga 2010 di atas standar yang ditentukan Departemen Kesehatan RI.
Banyak faktor yang mempengaruhi kejadian DBD, antara lain iklim dan perilaku hidup bersih dan sehat (PHBS). Oleh karena itu, dalam penelitian ini, dibangun Sistem Prediksi demam berdarah yang dikaitkan dengan iklim, yang diharapkan bisa membantu memberikan informasi bagi Departemen Kesehatan tentang prediksi resiko DBD di tahun yang akan datang, sehingga Departemen Kesehatan dapat mengambil langkah preventif untuk mengurangi angka kesakitan DBD.
Sistem Prediksi yang dibangun dengan hybrid algorithm yaitu Algoritma Genetika dan Fuzzy Logic mampu menghasilkan akurasi testing 100% dalam memprediksi kondisi DBD di 6 bulan pertama pada tahun 2009 dan 2010 di kecamatan Cimahi Utara dan Cimahi Tengah. Sedangkan pada Cimahi Selatan diperoleh hasil prediksi 6 bulan pertama di tahun 2009 sebesar 100% tetapi pada tahun 2010 terjadi penurunan akurasi.
Kata kunci: demam berdarah, cimahi, algoritma genetika, logika fuzzy, system prediksi
Abstract
The incidence of Dengue Haemorrhagic Fever (DHF) is a national health problem in Indonesia. Every year dengue morbidity is still high. Particularly in Cimahi, one of the city in West Java province where the morbidity rate (Incidence Rate) 2005 to 2010 in the above national standard.
Many factors can affect the incidence of dengue, among others, climate and living behavioral. Therefore, the development of DHF Prediction System which is associated with a climate that is expected to help provide information for the Department of Health about dengue risk prediction in the coming year, so the Health Ministry can take preventive action to reduce morbidity of DHF.
The Prediction System that was built with a hybrid algorithm which Genetic Algorithms and Fuzzy Logic is able to obtain 100% testing accuracy in predicting the condition of dengue in the first 6 months in 2009 and 2010 in North Cimahi and Central Cimahi. While in South Cimahi, the prediction results obtained in the first 6 months of 2009 amounted to 100% but in 2010 a decline in accuracy.
Keywords: dengue haemorrhagic fever, cimahi, genetic algorithm, fuzzy logic, prediction system
THE PREDICTION OF DENGUE HAEMORRAGIC FEVER (DHF) IN CIMAHI
USING HYBRID GENETIC ALGORITHM AND FUZZY LOGIC
Fhira Nhita,ST 1, Prof.Thee Houw Liong 2, Shaufiah,MT 3
1,3 Informatics Program Study in Telkom Institute of Technology
2 Bandung Institute of Technology
1 fhiranhita@yahoo.com, 2 houwthee@yahoo.co.id,
3 shaufiah@gmail.com
Abstrak
Kejadian Demam Berdarah Dengue (DBD) merupakan masalah nasional di bidang kesehatan. Setiap tahun angka kesakitan DBD masih tinggi. Khususnya di Cimahi, salah satu kota di provinsi Jawa Barat dimana angka kesakitan (Incidence Rate) tahun 2005 hingga 2010 di atas standar yang ditentukan Departemen Kesehatan RI.
Banyak faktor yang mempengaruhi kejadian DBD, antara lain iklim dan perilaku hidup bersih dan sehat (PHBS). Oleh karena itu, dalam penelitian ini, dibangun Sistem Prediksi demam berdarah yang dikaitkan dengan iklim, yang diharapkan bisa membantu memberikan informasi bagi Departemen Kesehatan tentang prediksi resiko DBD di tahun yang akan datang, sehingga Departemen Kesehatan dapat mengambil langkah preventif untuk mengurangi angka kesakitan DBD.
Sistem Prediksi yang dibangun dengan hybrid algorithm yaitu Algoritma Genetika dan Fuzzy Logic mampu menghasilkan akurasi testing 100% dalam memprediksi kondisi DBD di 6 bulan pertama pada tahun 2009 dan 2010 di kecamatan Cimahi Utara dan Cimahi Tengah. Sedangkan pada Cimahi Selatan diperoleh hasil prediksi 6 bulan pertama di tahun 2009 sebesar 100% tetapi pada tahun 2010 terjadi penurunan akurasi.
Kata kunci: demam berdarah, cimahi, algoritma genetika, logika fuzzy, system prediksi
Abstract
The incidence of Dengue Haemorrhagic Fever (DHF) is a national health problem in Indonesia. Every year dengue morbidity is still high. Particularly in Cimahi, one of the city in West Java province where the morbidity rate (Incidence Rate) 2005 to 2010 in the above national standard.
Many factors can affect the incidence of dengue, among others, climate and living behavioral. Therefore, the development of DHF Prediction System which is associated with a climate that is expected to help provide information for the Department of Health about dengue risk prediction in the coming year, so the Health Ministry can take preventive action to reduce morbidity of DHF.
The Prediction System that was built with a hybrid algorithm which Genetic Algorithms and Fuzzy Logic is able to obtain 100% testing accuracy in predicting the condition of dengue in the first 6 months in 2009 and 2010 in North Cimahi and Central Cimahi. While in South Cimahi, the prediction results obtained in the first 6 months of 2009 amounted to 100% but in 2010 a decline in accuracy.
Keywords: dengue haemorrhagic fever, cimahi, genetic algorithm, fuzzy logic, prediction system
10 July 2011
08 July 2011
07 July 2011
PEMODELAN DAN SIMULASI KENAIKAN PERMUKAAN AIR LAUT SECARA TIGA DIMENSI (3D)
PEMODELAN DAN SIMULASI KENAIKAN PERMUKAAN AIR LAUT SECARA TIGA DIMENSI (3D) DENGAN MENGGUNAKAN DATA LIDAR (Light Detecting and Ranging)
Undergraduate Theses from JBPTITBPP / 2011-06-14 16:33:38
Oleh : JUMADI (NIM 15104061); Pembimbing: Dr. Ir. Eka Djunarsjah, M.T., dan Sofan Prihadi, ST. , S1 - Department of Geodetic Engineering
Dibuat : 2008, dengan 7 file
Keyword : Sea level rise, 3D modelling and simulation, LIDAR
Banjir akibat naiknya permukaan air laut merupakan permasalahan yang sering melanda daerah-daerah di pesisir pantai. Naiknya permukaan air laut pada umumnya disebabkan oleh pemanasan global. Selain pemanasan global, bencana alam seperti: gelombang badai, land subsidance, dan pasang air laut juga memberikan kontribusi yang besar terhadap naiknya permukaan air laut. Naiknya permukaan air laut akan memberikan dampak yang besar, baik dalam skala lokal maupun nasional. Oleh karena itu, dibutuhkan suatu cara untuk melakukan pemodelan dan simulasi terhadap dampak kenaikan permukaan laut tersebut. Salah satu cara yang digunakan adalah dengan melakukan pemodelan dan simulasi secara tiga dimensi (3D). Untuk memperoleh informasi tiga dimensi (3D) dapat dilakukan dengan mengunakan teknologi Airborne Laser Scanning (ALS) yang mampu menghasilkan informasi kedalaman dan topografi detail dari daerah pesisir pantai tersebut secara cepat dan akurat. Negara-negara seperti: Amerika, Kanada, dan Swedia menamakan teknologi ALS tersebut dengan nama LIDAR (Light Detecting and Ranging). LIDAR terbagi atas dua, yaitu: LIDAR untuk pengukuran kedalaman yang dikenal dengan nama Airborne Laser Hydrography (ALH) atau Airborne Laser Bathymetry (ALB), dan LIDAR untuk pengukuran topografi permukaan bumi yang disebut dengan Airborne Altimetric LIDAR. Dengan kemampuan tersebut, diharapkan teknologi LIDAR dapat membantu instansi terkait dalam penanggulangan banjir, dan lebih lanjut dapat digunakan untuk perencanaan pengaturan tata ruang dan mitigasi bencana.
Deskripsi Alternatif :
Flood as the impact of the rising of the sea levcl, is a common problem that always exists around coastal areas. The sea level rise is generally influenced by global warming. furthermore, natural disasters such as storm wave, land subsidence, as well as high tide, have also given a contribution to the sea level rise. The sea level rise will cause such a great impact, either local or national scale. Therefore, it is needed to have a way to do modeling and stimulation of the impact of the sea level rise. One of ways that can be used is by three dimensional (3D) modeling and stimulation. Information in the form of three dimensions, can be achieved by Airborne Laser Scanning (ALS) technology that can produces depth and detail topography of coastal areas quickly in fast and accurately. Nations like: American, Canada, and Swedia names ALS technology by the name of LIDAR (Light Detecting and Ranging). Based on the measured object LIDAR is divided into two. One is, LIDAR for depth measurement [Airborne Laser Hydrography (ALH) or Airborne Laser Bathymetry (ALB)]. Another is LIDAR for topographic measurement of the land surface [Airborne Altimetric LIDAR]. Applying this technology, is useful to assist the nearest institution in handling the flood. Furthermore, it can be used in planning the space formation system and natural disasters mitigation.
Undergraduate Theses from JBPTITBPP / 2011-06-14 16:33:38
Oleh : JUMADI (NIM 15104061); Pembimbing: Dr. Ir. Eka Djunarsjah, M.T., dan Sofan Prihadi, ST. , S1 - Department of Geodetic Engineering
Dibuat : 2008, dengan 7 file
Keyword : Sea level rise, 3D modelling and simulation, LIDAR
Banjir akibat naiknya permukaan air laut merupakan permasalahan yang sering melanda daerah-daerah di pesisir pantai. Naiknya permukaan air laut pada umumnya disebabkan oleh pemanasan global. Selain pemanasan global, bencana alam seperti: gelombang badai, land subsidance, dan pasang air laut juga memberikan kontribusi yang besar terhadap naiknya permukaan air laut. Naiknya permukaan air laut akan memberikan dampak yang besar, baik dalam skala lokal maupun nasional. Oleh karena itu, dibutuhkan suatu cara untuk melakukan pemodelan dan simulasi terhadap dampak kenaikan permukaan laut tersebut. Salah satu cara yang digunakan adalah dengan melakukan pemodelan dan simulasi secara tiga dimensi (3D). Untuk memperoleh informasi tiga dimensi (3D) dapat dilakukan dengan mengunakan teknologi Airborne Laser Scanning (ALS) yang mampu menghasilkan informasi kedalaman dan topografi detail dari daerah pesisir pantai tersebut secara cepat dan akurat. Negara-negara seperti: Amerika, Kanada, dan Swedia menamakan teknologi ALS tersebut dengan nama LIDAR (Light Detecting and Ranging). LIDAR terbagi atas dua, yaitu: LIDAR untuk pengukuran kedalaman yang dikenal dengan nama Airborne Laser Hydrography (ALH) atau Airborne Laser Bathymetry (ALB), dan LIDAR untuk pengukuran topografi permukaan bumi yang disebut dengan Airborne Altimetric LIDAR. Dengan kemampuan tersebut, diharapkan teknologi LIDAR dapat membantu instansi terkait dalam penanggulangan banjir, dan lebih lanjut dapat digunakan untuk perencanaan pengaturan tata ruang dan mitigasi bencana.
Deskripsi Alternatif :
Flood as the impact of the rising of the sea levcl, is a common problem that always exists around coastal areas. The sea level rise is generally influenced by global warming. furthermore, natural disasters such as storm wave, land subsidence, as well as high tide, have also given a contribution to the sea level rise. The sea level rise will cause such a great impact, either local or national scale. Therefore, it is needed to have a way to do modeling and stimulation of the impact of the sea level rise. One of ways that can be used is by three dimensional (3D) modeling and stimulation. Information in the form of three dimensions, can be achieved by Airborne Laser Scanning (ALS) technology that can produces depth and detail topography of coastal areas quickly in fast and accurately. Nations like: American, Canada, and Swedia names ALS technology by the name of LIDAR (Light Detecting and Ranging). Based on the measured object LIDAR is divided into two. One is, LIDAR for depth measurement [Airborne Laser Hydrography (ALH) or Airborne Laser Bathymetry (ALB)]. Another is LIDAR for topographic measurement of the land surface [Airborne Altimetric LIDAR]. Applying this technology, is useful to assist the nearest institution in handling the flood. Furthermore, it can be used in planning the space formation system and natural disasters mitigation.
01 July 2011
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