Judul: Pembangunan Sistem Spatial Online Analytical Processing untuk  Analisis Data Titik Panas
Abstrak: Kebakaran hutan dan lahan (karhutla) kerap melanda dan menjadi krisis endemi yang harus diperhatikan oleh pemerintah dan juga masyarakat. Kementerian Lingkungan Hidup dan Kehutanan (KLHK) melalui Direktorat Jenderal Pengendalian Perubahan Iklim (PPI) mengembangkan sebuah sistem pemantau titik panas (hotspot) harian yang disebut dengan SiPongi. Sistem dapat diakses secara publik melalui https://sipongi.menlhk.go.id/ (per 27 Oktober 2023). Namun, sistem belum mampu menampilkan ringkasan data dan tren titik panas hingga tingkat desa dan belum terdapat visualisasi dalam bentuk grafik. Penelitian ini bertujuan untuk membangun sistem OLAP untuk data titik panas berbasis web. Pembangunan sistem berbasis web ini menggunakan metode prototyping. Penelitian ini berhasil membangun sistem OLAP untuk data titik panas menggunakan framework Go Fiber dengan library xdbsoft/olap untuk backend dan Angular untuk frontend. Hasil pengujian menggunakan blackbox testing menunjukkan bahwa sistem mampu berjalan sesuai dengan kebutuhan pengguna., Forest and land fires (karhutla) often occur and have become an endemic crisis that needs attention from both the government and the public. The Ministry of Environment and Forestry (KLHK) through the Directorate General of Climate Change Control (PPI) has developed a daily hotspot monitoring system called SiPongi. This system is accessible to the public at https://sipongi.menlhk.go.id/ (as of October 27 2023). However, the system is not yet capable of providing a summary of hotspot data and trends down to the village level, and there is no visualization in the form of graphs. This study aims to build a web-based OLAP system for hotspot data. The development of this web-based system uses a prototyping method. The study successfully constructed an OLAP system for hotspot data using the Go Fiber framework with the xdbsoft/olap library for the backend and Angular for the frontend. Testing results using blackbox testing show that the system operates according to user requirements.
Keyword: backend, frontend, hotspot, OLAP, SiPongi

Judul: Development of a Data Warehouse Model for Online  Analytical Processing Applications for Karhutla Hotspot Data
Abstrak: Hotspot merupakan salah satu indikator untuk mengidentifikasi terjadinya kebakaran hutan dan lahan (karhutla). Spatial data warehouse hotspot diperlukan untuk membuka peluang dalam melakukan analisis yang lebih mendalam terhadap data hotspot, serta memfasilitasi pengambilan keputusan berbasis spatial yang lebih baik dalam konteks penanggulangan karhutla. Penelitian ini bertujuan membangun modul database untuk mengelola data hotspot yang bersumber dari website SiPongi, membangun spatial data warehouse pada sistem Spatial OLAP untuk Data Hotspot, dan membangun modul extract, transform, dan load (ETL). Metode penelitian meliputi identifikasi fitur dan atribut yang akan dilakukan pada pengembangan modul database hotspot, pembangunan spatial data warehouse, dan pengembangan modul ETL. Tahap terakhir adalah pengujian dengan menggunakan metode pengujian black box. Penelitian menghasilkan spatial data warehouse hotspot dengan menunjukkan bahwa data warehouse dapat melakukan operasi OLAP dengan benar sesuai dengan kebutuhan sistem., Hotspots are an indicator to identify forest and land fires (karhutla). Spatial data warehouse hotspots are needed to open up opportunities to carry out more in depth analysis of hotspot data, as well as to facilitate better spatial-based decision making in the context of forest and land fire prevention. This study aims to build a database module to manage hotspot data sourced from the SiPongi website, build a spatial data warehouse on the Spatial OLAP system for Hotspot Data, and build an extract, transform, and load (ETL) module. The research steps include identification of features and attributes that will be carried out in the development of the hotspot database module, the development of a spatial data warehouse, and the development of the ETL module. Finally, testing is carried out using the black box testing method. The study succeeded in producing a spatial data warehouse hotspot. The data warehouse can provide OLAP operations correctly according to system requirements.
Keyword: data warehouse, extract, transform dan load (ETL), spatial online  analytical processing (SOLAP)

Judul: Karakteristik Carboxymethyl Chitosan Dengan Variasi Konsentrasi NaOH
Abstrak: Carboxymethyl chitosan is chitosan derivative product obtained from chemical modification. CMCh were made by alkalization process and carboxymethylation process. Factors that affect CMCh characteristics were excess sodium hydroxide in alkalization process, ratio between chitosan and monochloroacetic acid, and carboxymethylation temperature. The objectives of this research were to study the NaOH effect to CMCh characteristics, to learn process of making CMCh, to set the proper concentration of NaOH, and to analyze CMCh characteristics. CMCh yields were 110.72%-114.22%. CMCh pH value were 3.74-4.31. The optimum NaOH concentration to obtain the best CHCh was 10 M. Percentage of CMCh moisture content was 10.70%-11.42%. Ash content and nitrogen content of CMCh were 0.49%-0.50% and 4.52%-4.81%. CMCh viscousity was 8.25 cps. Percentage of CMCh solubility was 61.61%-91.50%. The different functional groups from chitosan which observed in CMCh were C=O group, CH group from alkene functional group, C−O group, and C−O−C group.
Keyword: solubility., functional group, CMCh characteristics, chitosan, carboxymethyl chitosan