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"ABSTRAKStudies of forest ecosystems enable gathering important information on the natural environment the development of which is more and more disturbed by the global climate change. The current research on the ecosystem functioning provides data that may be of much value for future analysis and prognostic studies. Modern measurement techniques used in the forest research have a significant influence on the increase in the database resources, especially those concerning the spatial data. Big data requires the use of advanced analytical technologies, such as data warehouses, computer clusters or cloud computing. Consequently, cooperation of specialists from various scientific disciplines, including forestry, geography, climatology and computer science, has become increasingly necessary. The IT system of the Forest Research Institute was modernized within the framework of the Operational Programme Innovative Economy 2007 until 2013. Its functionality allows integrating, storing and analyzing ever more big databases from dispersed sources. The idea of open access to data is realized by the FRI mainly through publication of research results in domestic and foreign scientific journals, in specialized information services and on scientific portals. On the other hand, open access to raw data still raises a lot of concern and controversies in the scientific community, especially in the context of copyright infringement."

"AbstrakTo understand the current social situation in Indonesia and its changes over the decades, the population census implemented by Statistics Indonesia, Badan Pusat Statistik (BPS), provides us with important basic information. The usefulness of population census data has greatly increased since 2000 because ethnicity was added to the questionnaire, and BPS published the digitized raw data. This study analyzes the case of Riau Province mainly using raw data from the 2000 and 2010 population censuses, which show that migration from other provinces increased considerably and the employment structure changed significantly. The characteristics of migrants in Riau Province varied during different periods. Minangkabau from West Sumatra Province were dominant in the 1970s, but Javanese from Java Island with governmental support (transmigrasi) exceeded this number in the 1980s. Bataks and Javanese from North Sumatra Province have made up the largest number of migrants since the 1990s. The increase in migrants between 2000 and 2010 was driven by the rapid development of the estate crop sector in Riau Province, especially the oil palm industry, and many local ethnic groups also switched from food crops to estate crops. In 2010, more than a third of the total population in Riau Province was engaged in the estate crop sector. Nevertheless, a notable finding from our analysis is that the descendants of migrants are inclined to engage in industries other than the estate crop sector."

"ABSTRAKPeraturan menteri Komunikasi dan Informatika nomor 16 Tahun 2013 tentangstandar kualitas pelayanan jasa teleponi dasar pada jaringan bergerak selular barusaja di keluarkan pada bulan April 2013. Operator selular tidak hanya harusmematuhi peraturan baru tersebut tapi juga pada peraturan dimana Operator yangtidak bisa memenuhi QoS akan dikenakan sanksi denda.Saat ini proses pengukuran QoS dilakukan secara pasif, dimana operator sendirimelaporkan QoS-nya kepada Kominfo melalui BRTI. Mekanisme pelaporantersebut dinilai tidak efisien dan integriatas data yang dipertanyakan.Tesis mengusulkan model baru dimana Pemerintah dapat secara aktif mengukurdan mengkuantisasi QoS Operator dengan cara mengambil data mentah baik darijaringan maupun dari komplain pelanggan via sosial media twitter. Model barudisimulasikan pada operator XYZ dengan data-data pada bulan Oktober 2013menghasilkan KPI penanganan keluhan umum 95.7%, Pemenuhan aktivasi99.74%, Dropped call 1.01 % dan Success rate 98.73% dimana hasil ini masihberada dalam ambang Permen Kominfo. Dengan cara ini diharapkan Pemerintahdapat mengukur kinerja operator secara objektif, sehingga penerapan denda/sanksibagi operator yang QoSnya dibawah standar yang ditetapkan dapat diterapkansecara objektif pula.

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ABSTRACTMinister of Telecommunication of Republik Indonesia (Kominfo) has beenissuing regulation number 16/2013 about the standard quality of cellulartelephony. The service provider must not only comply with the new regulationsbut also be exposed to other new regulation plan which operator than not able tomeet the QoS will be fined.At present, QoS’s measurement by the Regulator have been done passively, inwhich operators reported their QoS to Kominfo through BRTI. The such reportingmechanism is inefficient, while data integrity is questioned.This thesis proposes and simulates the new model in which government mayactively measure and quantize the QoS. The new Model is based on dataminingprocessing the raw data from both network cellular infrastructure and twitter data.The new model is simulated by data of October 2013 on XYZ Operator and theKPI result are general complaint handle about 95.7%, Activation about 99.74%,Dropped call about 1.01 % and success rate about 98.73%. All of this KPI arepassed the regulation. By doing this new method, hopefully goverment can beactively and objectively measure the operator’s KPI."

"Data penelitian atau data primer merupakan aset lembaga yang perlu diarsipkan, dipreservasi, dan disebarluaskan kepada masyarakat. Selain sebagai bukti hasil kegiatan penelitian, menyimpan data memungkinkan data untuk digunakan kembali, menghasilkan data baru serta dapat meningkatkan transparansi dan memfasilitasi penelitian lebih lanjut agar lebih berkualitas. Praktik berbagi data penelitian telah banyak dilakukan di berbagai negara dan di Indonesia hal ini sedang dikembangkan. Ada banyak faktor yang memengaruhi peneliti sebagai pemilik data penelitian untuk bersedia mendepositkan dan membagikan datanya melalui berbagai platform. Penelitian ini bertujuan untuk mengetahui faktor yang memengaruhi peneliti untuk mendepositkan data penelitian mereka pada suatu repositori data institusi dengan menggunakan Theory of Planed Behavior (TPB). Faktor dalam penelitian ini dikategorikan menjadi 3 faktor, yaitu (1) Faktor disiplin (Persepsi manfaat terhadap komunitas, persepsi terhadap norma komunitas), (2) Faktor lembaga (persepsi terhadap peraturan lembaga, persepsi terhadap dukungan lembaga), dan (3) Faktor individual (persepsi manfaat terhadap karir, persepsi risiko terhadap karir, dan persepsi terhadap upaya yang dibutuhkan). Pengambilan sampel menggunakan teknik random sampling. Jumlah sampel sebanyak 320 peneliti berasal dari dua instansi yaitu Balitbangkes dan LIPI. Data Penelitian dianalisis dengan menggunakan PLS-SEM (Partial Least Square-Structural Equation Modelling). Hasil penelitian menunjukkan bahwa tekanan normatif dalam disiplin ilmu (persepsi terhadap norma komunitas) yang merupakan bagian dari faktor disiplin dan dukungan lembaga terbukti secara signifikan berpengaruh positif terhadap perilaku peneliti untuk mendepositkan data penelitiannya melalui repositori data institusi. Sebaliknya, motivasi individu (persepi terhadap upaya yang dibutuhkan) secara signifikan berpengaruh negatif terhadap perilaku peneliti dalam mendepositkan data penelitiannya melalui repositori data institusi. Peraturan lembaga sebagai keyakinan normatif tidak terbukti berpengaruh signifikan terhadap perilaku peneliti dalam mendepositkan data penelitian melalui repositori data institusi. Penelitian ini menyarankan institusi untuk lebih fokus mengambil langkah konkret untuk mendorong perilaku pendepositan data penelitian melalui pemberlakuan reward and punishment bagi para peneliti terkait pelaksanaan kebijakan deposit data penelitian, penyediaan layanan dan infrastruktur handal untuk membangun trust peneliti serta untuk menjamin keandalan dan keamanan data para peneliti. Selaini itu, penyediaan SDM khusus yang akan membantu para peneliti untuk mendepositkan datanya pada repositori data institusi dan menyederhanakan proses pendepositan data.

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Research data or raw data are institutional assets that need to be archived, preserved, and disseminated to the public. Apart from being evidence of the results of research activities, storing data allows data to be reused, generates new data and can improve the quality of future research. The practice of sharing research data has been widely carried out in various countries and in Indonesia it is being developed.. There are many factors that influence researchers as owners of research data to be willing to deposit and share their data through various platforms. This study aims to determine the factors that influence researchers to deposit their research data in an institutional data repository using the Theory of Planed Behavior (TPB). The factors in this study were categorized into 3 factors, namely (1) disciplinary factors (perception of benefits to the community, perception of community norms), (2) institutional factors (perceptions of institutional regulations, perceptions of institutional support), and (3) Individual factors (perceptions of career benefits, perceptions of career risks, and perceptions of the effort required). Sampling technic using random sampling technique. The number of samples as many as 320 researchers came from two agencies, namely Balitbangkes and LIPI. Research data were analyzed using PLS-SEM (Partial Least Square-Structural Equation Modeling). The results show that normative pressure in scientific disciplines (perception of community norms) which is part of the discipline factor and institutional support has a significant positive effect on the behavior of researchers in depositing research data through institutional data repositories. On the other hand, individual motivation (perception of the effort required) significantly negatively affects the behavior of researchers in depositing research data through institutional data repositories. Institutional regulations as normative beliefs are not proven to have a significant effect on the behavior of researchers in depositing research data through institutional data repositories. This study suggests institutions to focus more on taking concrete steps to encourage research data depositing behavior through the implementation of rewards and punishments for researchers related to the implementation of research data deposit policies, providing reliable services and infrastructure to build research trust and to ensure the reliability and security of researchers' data. In addition, the provision of special human resources that will help researchers to deposit their data in institutional data repositories and simplify the process of depositing data. "

"Tesis ini membahas tentang pengembangan dasbor pemanfaatan raw data hasil pendataan Program Indonesia Sehat dengan Pendekatan Keluarga (PIS-PK) sebagai alat bantu perencanaan di Puskesmas. Belum lengkapnya informasi terkait indikator PIS-PK pada dasbor terdahulu melatarbelakangi pengembangan sistem. Penelitian ini merupakan riset operasional dengan teori pendekatan sistem. Pengembangan sistem informasi ini menggunakan metode Rapid Application Development (RAD) secara iterative. Hasil penelitian berupa dasbor yang berisi tabel dan grafik yang memberikan informasi dari 12 indikator PIS-PK secara detail.

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This thesis discusses the development of dashboards using raw data from the Indonesian Program data collection with the Family Approach (PIS-PK) as a planning tools at the Puskesmas. This research is operational research with a systems approach theory. The incomplete information regarding the PIS-PK indicators in the previous dashboard lies behind the development of the system. The development of this information system uses the Rapid Application Development (RAD) method iteratively. The research results are in the form of a dashboard that contains tables and graphs that provide information from 12 detailed PIS-PK indicators."