Pencapaian suatu negara dalam memberikan jaminan di bidang kesehatan dapat menjadi indikator untuk mengetahui tingkat keberhasilan pembangunan sebuah negara. Di Indonesia khususnya Kota Pontianak tingkat kesehatan masih menjadi sebuah tantangan yang harus diselesaikan. Sebagai upaya memudahkan proses identifikasi kesehatan masyarakat dan mengetahui tingkat kesehatan suatu wilayah di Kota Pontianak, maka pada penelitian ini akan mengimplementasikan clustering K-Means dalam pengelompokkan setiap wilayah kecamatan berdasarkan 5 buah variabel indikator mortalitas derajat kesehatan untuk memudahkan Dinas Kesehatan kota Pontianak mengetahui tingkat kesehatan masyarakat di setiap wilayah kecamatan. Hasil dari penelitian ini berupa sistem klasterisasi data kesehatan yang mampu menghasilkan tiga buah cluster meliputi tingkat kesehatan rendah, sedang, dan tinggi. Cluster 1 memiliki nilai CBR 0,24; CDR 0,73; IMR 0,27; FMR 0,12; dan MMR 0,14 berisi 3 wilayah kecamatan. Cluster 2 beranggota 1 kecamatan memiliki nilai CBR 0,57; CDR 0,34; IMR 1, FMR 1, dan MMR 0. Dan  cluster 3 memiliki nilai CBR 0,95; CDR 0,06; IMR 0,11; FMR 0,27; dan MMR 0,87; berjumlah 2 kecamatan. Pengujian fungsional memperoleh hasil yang sesuai berdasarkan perancangan sistem. Sedangkan pengujian interface memperoleh nilai persentase 88% yang menunjukkan hasil sangat baik.

The increase in population every year triggers various problems including the accumulation of population in one particular area which can potentially lead to new slum areas. Information regarding the distribution of slum settlements has not been published, so people do not know the area they will be increasing or including the slum area. In overcoming these problems, a Geographic Information System (GIS) was designed to digitally map the distribution of slum areas using calculations based on PUPR Ministerial Regulation No. 14 of 2018 concerning Prevention and Quality Improvement of Slum Housing and Slum Settlements. The determination was calculated using 7 indicators and 16 criteria and resulted in 3 classifications of slum level consisting of light slums, medium slums, and heavy slums. The final result of this research is expected to help the relevant government and the community in knowing the distribution area of slums based on WebGIS. Black-box testing is used to test the functionality of the system that was built and get good results with details of all functions running and following the design stage. Testing the system interface was carried out using an online questionnaire filled out by 38 respondents, resulting in a percentage of 87.5% calculated using a Likert scale so that it was categorized as excellent.

Kontrol dan evaluasi merupakan fungsi yang penting dalam manajemen untuk memastikan rencana kerja organisasi bisa berjalan dengan baik sehingga akhir organisasi bisa tercapai. Untuk bisa melakukan fungsi kontrol dan evaluasi dengan baik dibutuhkan sistem  informasi manajemen kinerja yang baik. Sistem manajemen kinerja yang baik harus bisa menggambarkan proses bisnis yang terjadi dalam organisasi secara keseluruhan. Sistem informasi evaluasi kinerja dosen dibangun dengan  memuat ukuran-ukuran Key Performance Indicator (KPI) dari sebuah model kinerja dosen yang dikembangkan dalam bentuk kuesioner secara online dan tersistem. Dashboard model dapat mengintegrasikan data dari berbagai sumber disetiap unit, dimana mereka dapat mengelola data dan menyajikan dalam bentuk laporan informasi yang berkualitas. Hasil penelitian menunjukkan evaluasi kinerja dosen berdasarkan nilai KPI sebesar 0.616 dengan kategori penilaian baik berkisar antara 0.6 sampai 0.8,  dapat dijadikan referensi sebuah model evaluasi kinerja dosen yang digambarkan dalam bentuk model dashboard  untuk memberikan evaluasi terhadap mutu proses pembelajaran yang dilakukan oleh dosen dalam rangka meningkatkan kualitas proses pembelajaran.

Land and forest fires occur every year in Indonesia, where the cause is human negligence or intentional related to forest deforestation. Land and forest fires, of course, can cause economic, health, social and cultural, ecological and environmental damage. One indicator that is useful as a determinant of the occurrence of land fires is hot spots. To manage hotspot data, data mining can be done, namely by using the sequential pattern mining method to obtain hotspot sequence patterns that will be used as indicators of land fires. In overcoming these problems, a Geographic Information System (GIS) was designed to map the areas prone to land fires in Kubu Raya Regency. The results of this study are maps of the distribution of land fire-prone areas and the pattern of occurrence of hotspots calculated using the sequential pattern mining method which is expected to assist relevant agencies in carrying out mitigation and prevention efforts for land fires, so as to produce the right decisions for handling land fires in the District. Kingdom Fortress. Based on the results of functionality testing using the black box testing method, the SIGPKRK application (Geographical Information System for Mapping Fire Prone Areas) that was built can run and is in accordance with the functions that have been designed. As for the results of testing the system interface using a questionnaire through the Google form which was filled in by 30 respondents, the SIGPKRK application obtained a percentage result of 85.9% which was included in the "Very Good" category.

Water is one of the most crucial parts of human life as it is one of the most critical substances in human's life. With how limited the published information regarding water quality issues around us, there needs to be a platform for people to access this kind of information. Therefore, a Geographic Information System (GIS) will be build to map every observation points in Pontianak and use the observations data to calculate water quality status using STORET method based on Ministry of Environment and Forestry Ministerial Decision No. 115 of 2003 concerning Guide to Determine Water Quality Status. The method was calculated by comparing the water quality data with quality standards which are regulated in Government Regulation No. 22 of 2021 concerning Maintenance of Protection and Management of Environment. Which then scored and classified using US-EPA (Environmental Protection Agency) classification system based on the total score of each observation point. The result showed that from the data in Pontianak in 2021 there were 8 observation points classified as moderately contaminated, 18 observation points classified as highly contaminated, while 68 observation points did not have enough data to calculate. As to the result of system interface testing using an online questionnaire that was given to 51 respondents generated a result of 89,1% using Likert Scale which can be classified as a very good testing result.