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"Indonesia merupakan daerah rawan multi bencana alam, yang sering terjadi tanpa dapat diprediksikan terlebih dahulu. Bencana alam tersebut telah berdampak pada timbulnya korban jiwa, kerusakan lingkungan, kerugian harta benda, dan dampak psikologis sehingga dalam keadaan tertentu dapat menghambat pembangunan nasional. Kebutuhan data dan informasi geospasial (IG) terkait kebencanaan ini, sangat penting dalam pengelolaan bencana, termasuk proses mitigasi, penanganan kondisi darurat, maupun rehabilitasi. Sebagai institusi yang berwenang dan bertanggung jawab terhadap penyelenggaraan IG dasar dan pembinaan IG tematik nasional, Badan Informasi Geospasial (BIG) perlu menyediakan layanan data terkait kebencanaan, yang melibatkan berbagai data dan informasi geospasial tematik. Dalam penyediaan layanan tersebut, BIG membangun sebuah Geospatial Support Command Center (GSCC), yang diperlukan untuk menyediakan layanan data dan IG terintegrasi dalam suatu data warehouse.Penelitian ini dilakukan untuk memberikan rekomendasi desain dan pengintegrasian data melalui perancangan dan pengimplementasian data warehouse spasial di BIG yang dapat mendukung layanan ? layanan IG, termasuk layanan IG untuk kebencanaan. Pendekatan data warehouse spasial yang digunakan adalah pendekatan analysis-driven yang dikemukakan oleh Malinowski dan Zimanyi. Pengumpulan data didapatkan dari hasil observasi lapangan, dokumen ? dokumen internal organisasi, dan wawancara dengan dengan narasumber dari unit-unit kerja yang berkaitan dengan pengelolaan data geospasial terkait kebencanaan.Hasil akhir dari penelitian ini adalah implementasi data warehouse spasial serta dashboard spasial, sehingga dapat mempermudah pemanfaatan informasi terkait bencana. Hasil penelitian ini memberikan rekomendasi berupa lokasi kejadian, sehingga penanganan bencana dapat tepat dan sesuai sasaran.

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Indonesia is an area of multi disaster risks that often happen unpredictably. Those disasters have caused the loss of lives, environmental damages, loss of properties, and psychological impacts that under certain circumstances have hindered national development. The need for geospatial data and information related to disasters is very important in the management of disasters, including mitigation process, emergency supports, as well as rehabilitation process. As a state government agency that is responsible for providing basic geospatial information (GI) and as a supervisor in the thematic geospatial development, Geospatial Information Agency (BIG) needs to provide GI services related to disasters, which of course involve variety of thematic geospatial data and information. In the provision of GI services, BIG has developed a Geospatial Support Command Center (GSCC), that provides geospatial data and information services, integrated in a data warehouse.

This research was conducted to provides recommendations for the design and integration of data through the design and implementation of spatial data warehouse in BIG that can support the GI services, including GI to support disasters. Spatial data warehouse approach which is used is analysis-driven approach that proposed by Malinowski and Zimanyi. Data collecting is obtained from field observations result, the internal documents of the organization, and interview with speaker from related working units who manage geospatial data and information related to disasters.

The final results of this research are spatial data warehouse implementation and spatial dashboard, to facilitate the utilization of disaster-related information. It provides recommendations to the location of incident, so that disaster management can be done precisely."

"Sektor konstruksi merupakan sektor industri penyumbang Pendapatan Domestik Bruto keempat terbesar di Indonesia berdasarkan data yang dilansir BPS 2021. Melihat hal tersebut industri disektor konstruksi ini memiliki pontesi yang cukup besar digali lebih jauh lagi. Pada saat ini pemerintah sedang mendukung para UMKM di sektor konstruksi untuk berkolaborasi dengan para BUMN. Salah satu metode yang digunakan dalam menjalakan proyek konstruksi sendiri adalah proyek EPC yang merupakan singkatan dari Engineering, Procurement, dan Construction. Untuk dapat memaksimalkan kesempatan tersebut diperlukan pengendalian proyek yang baik agar proyek dapat berjalan sesuai rencana. Penggunaan alat digital di nilai dapar meningkatkan efektifias dan efisiensi dari pengendalian dalam proyek konstruksi. Penelitian ini bertujuan untuk merancang kerangka sistem informasi pengendalian proyek EPC untuk perushaan kontraktor skala menegah. Berdasarkan hasil penelitian ini, didapatkan rancangan 10 Use Case Diagram, 21 entitas Entity Relationship Diagram, 21 tabel Relational Database, 8 Data Flow Diagram, 57 Activity Diagram untuk pengembangan kerangka dari sistem informasi pengendalian proyek EPC.

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The construction sector is the industrial sector that contributes the fourth largest Gross Domestic Product in Indonesia based on data reported by BPS 2021.  Seeing this, the construction sector industry has a fairly large number of opportunities. Currently, the government is supporting MSMEs in the construction sector to collaborate with SOEs.  One of the methods used in running construction projects itself is EPC projects which stands for Engineering, Procurement, and Construction. To be able to maximize this opportunity, good project control is needed to make sure the project can runs according to plan. The use of digital tools in value can increase the effectiveness and efficiency of control in construction projects.  This study aims to design an EPC project control information system framework for a large-scale contractor company. This study generate information system framework that consists of 10 Use Case Diagrams, 21 Entity Relationship Diagram entities, 21 Relational Database tables, 8 Data Flow Diagrams, 57 Activity Diagrams for the development of a framework of information systems EPC project control."

"Drug related problems (DRPs) adalah suatu keadaan yang tidak diinginkan yang terjadi pada pasien yang disebabkan oleh terapi obat dan secara nyata atau potensial mengurangi hasil terapi yang diharapkan.Sistem informasi drug related problems merupakan sistem informasi untuk mengetahui DRPs yang terjadi pada pasien yang sedang menjalani terapi obat yang diberikan dokter, agar dapat diatasi dan dicegah adanya masalah yang ditimbulkan diluar penyakit yang sedang diterapi. Supaya sistem dapat berjalan dengan baik harus didukung informasi yang lengkap dan terdokumentasi dengan baik.Sistem informasi drug related problems di RSUD Ulin Banjarmasin belum ada. Selama ini data tentang DRPs tidak terdokumentasi dengan baik dan lengkap. Tidak ada basis data yang mendukung sistem tersebut. Penanganan kejadian DRPs bersifat tindakan langsung berdasarkan respon pasien terhadap obat dan keluhan pasien. Hal itu disebabkan tidak ada SOP yang mengaturnya.Tujuan pengembangan sistem informasi drug related problems adalah membuat sistem informasi yang dapat mengetahui adanya DRPs yang terjadi pada pasien dengan penambahan formulir khusus DRPs dan pembuatan basis data DRPs.Metode pengumpulan data yang digunakan adalah wawancara mendalam dan studi dokumentasi. Pengembangan sistem menghasilkan formulir pemantauan obat untuk yang memuat kejadian DRPs dan prototype DRPs dengan basis data. Hasil uji coba prototype menunjukkan sistem berjalan baik berdasarkan input, proses, basis data, kendali dan platform teknologi.Hasil analisis DRPs dari 109 orang pasien hipertensi di RSUD Ulin Banjarmasin berdasarkan data sekunder tahun 2003 ditemukan pasien yang mengalami DRPs 49 orang (44,95%). Proporsi jenis DRPs yang ditemukan paling banyak adalah interaksi obat 54,2%, efek samping obat 33,9% dan duplikasi obat 11,9%.

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Drug related problems (DRPs) is an unwanted condition that occurred in patient caused by drugs therapy, actual and potentially reduced the expected therapy results.

Information system of drug related problems is an information system to find out DRPs which occurred in patient who endure on drug therapy which has been given by doctor, in order to handle and prevent the problems that may be occurred beyond the disease that being treated. The system can be going on all right, if be supported by complete information and well documented.

There is no information system for drug related problems in RSUD Ulin Banjarmasin. Until now, data of DRPs uncompleted and not well documented. No databases support to this system. Incident DRPs handling only by direct action based on patient response to drugs and patient complaints. That case caused no standard operational procedure to arrange.

The purpose of development information system of drug related problems is to build information system which could find DRPs that occur in patient by adding special form for drugs and DRPs monitoring and establishing DRPs database.

Results of the prototype testing showed that the system working well based on input, process, output, control and technology platform.

Result of DRPs from 109 patients with hypertension in RSUD Ulin Banjarmasin based on secondary data year of 2003 found that patient who experience DRPs is 49 patients (45,9%). The high proportion the type of DRPs that has been found are drug interactions (54,2%), adverse drug reactions (33,8%) and drug duplications (11,9%)"

"Information on product prices is one of the things that is often disturbed by society because information about product prices is frequently different among sellers. Whereas the government has made information disclosure in the form of a standard price of a product that aims to reduce price differences among sellers but it cannot be denied that there are several factors that make the price of products different. For example regional factors, transportation, or limited stock. When the community has obtained price information from the government, the public can compare prices on the market. However, the disclosure of information from the government regarding the standard up-to-market price of products on the market is still through internet. Internet media cannot be fully accessed by all people, especially rural communities who still have remote areas such as Gadungan village in Kediri regency. This research was conducted as an alternative technology to facilitate information disclosure of product prices. The method used in this study is action reseach. In this research phase, researchers used the gateway service technology service with a functional PostgreSQL database. The results on usability testing showed that the average score was 88.3%. Application testing results obtained from the application effectiveness level in the range of 89%, the application effectiveness level in the range of 90% and on application satisfaction in the range of 86%. The use of the application is expected to help the public in getting more varied pricing information so as to achieve perfect price competition."

"Penelitian ini mengangkat permasalahan mengenai belum adanya suatu bentuk pelaporan tentang status penjualan dan rincian penjualan dari sales group secara cepat dan ringkas. Tujuan penelitian ini ialah mengimplementasikan data warehouse dan aplikasi dashboard serta proses OLAP guna pelaporan status penjualan. Metodologi penelitian diawali dengan proses perumusan masalah dan pertanyaan penelitian, tinjauan pustaka, pengumpulan data, analisis kebutuhan informasi, arsitektur data warehouse, perancangan data warehouse, perancangan dashboard informasi dan ditutup dengan kesimpulan dan saran. Metodologi substansi untuk perancangan data warehouse akan mengikuti proses dari Ralph Kimball untuk industri retail. Hasil penelitian ini adalah data warehouse terhadap data penjualan lengkap dengan aplikasi pelaporan berbasis web dari proses OLAP dan aplikasi dashboard yang menampilkan perkembangan penjualan sales group dari waktu ke waktu dalam tampilan grafik.

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This study starts with the issue about the lack of the reporting form that can give information about sales status and details of sale from sales group in a fast and concise way. The purpose of this study is to implement a data warehouse and dashboard application, also with OLAP process to formulate sales status report. The research methodology in this study starts with the process of formulating of the problem and research question, literature review, data collection, needs analysis, data warehouse architecture, data warehouse design, business intelligence dashboard design and ended with conclusions and suggestions. The substance methodology for designing the data warehouse follows the process of Ralph Kimball’s data warehouse design methodology for retail industry. The result of this study are data warehouse of sales data, web-based reporting application from OLAP process and also a dashboard application that shows sales growth over time in a graphical display."