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PEMANFAATAN POTENSI SUMBER AIR PANAS SEBAGAI UPAYA PEMBERDAYAAN MASYARAKAT DENGAN PEMBANGUNAN WISATA KOLAM TERAPI DI DUSUN JURUH DESA DENDANG Silaban, Yabes Sentosa; Putri, Marwah Hotimah Nada; Halim, Nikken; Alviari, Irfaliani; Prayanti, Baiq Desy Aniska
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 4, No 2 (2023): Volume 4, Nomor 2, Oktober 2023
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/abdimastek.v4i2.1991

Sektor pariwisata merupakan salah satu aspek dalam pembangunan ekonomi yang berpotensi untuk dikembangkan sebagai salah satu sumber pendapatan daerah. Desa Dendang merupakan salah satu desa di Kecamatan Kelapa, Kabupaten Bangka Barat yang mempunyai luas wilayah sebesar 47.230 Ha. Banyak potensi yang ada meliputi potensi sumber daya alam, potensi sumber daya manusia, potensi sumber daya pembangunan, dan potensi sumber daya sosial budaya. Oleh karena itu, mengembangkan Desa Dendang menjadi tempat rekreasi wisata sebagai eksistensi pariwisata yang memiliki nilai jual dan ikon wisata di Kabupaten Bangka Barat. Rangkaian kegiatan yang sudah kami laksanakan adalah pembukaan, Focus Group Discussion, sosialisasi POKDARWIS, gotong royong, pembangunan crack tracking, pembuatan kolam terapi, seminar UMKM, dan penutupan dengan mengajak Masyarakat berpartisipasi. Adapun capaian luaran yang didapat merupakan destinasi wisata kolam terapi, buku Pengembangan kapasitas, modul, dan luaran lainnya. Harapan keberlanjutan kegiatan ini yaitu dilakukannya penelitian lanjutan mengenai sumber mata air panas, pengajuan staycation sebagai rest area, Pembangunan spot foto, pengajuan surat keputusan untuk wisatq dan promosi budaya di Desa Dendang.

IMPLEMENTASI LOGIKA FUZZY MAMDANI PADA PREDIKSI INDEKS PEMBANGUNAN MANUSIA PROVINSI KEP. BANGKA BELITUNG TAHUN 2010-2023 Halim, Nikken; Sakti, Adam Indra; Lutfiyaturrohmah, Khilma; Pramita, Agnes; Prayanti, Baiq Desy Aniska
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 1 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v13n1.p64-72

The Human Development Index is a comprehensive picture of the level of human development in a region, as the impact of development activities carried out in that region. There are three basic dimensions as a benchmark for measuring the Human Development Index that covers longevity and healthy living, knowledge, and a decent standard of living. Fuzzy logic is one of the decision support systems that can be implemented for uncertainty issues. The aim of this research is to implement the fuzzy logic of the Mamdani method on the Human Development Index (HDI) prediction and obtain accurate results from such implementation. The research variables used were life expectancy, average school age, school age expectation and per capita expenditure. This research will be done with the help of Matlab software. Based on the implementation of the fuzzy logic of the Mamdani method on the IPM prediction, the MAPE value is obtained with an average of 0.087169912% which means that it has a true value of 99.91283009%. This shows that the Fuzzy Logic of Mammdani's method is well used to predict IPM in the Bangka Belitung Islands Province.

Modeling of the Spread of Malaria in the Bangka Belitung Islands Province Using the SEIR Method Halim, Nikken; Putri, Marwah Hotimah Nada; Alviari, Irfaliani; Luthfiyah, Fadillah; Septiani, Hera; Prayanti, Baiq Desy Aniska
Eigen Mathematics Journal Vol 7 No 1 (2024): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i1.189

Malaria is an infectious disease caused by plasmodium through the bite of the Anopheles sp. female mosquito. (Roach, 2012). Malaria disease which hit the Bangka Belitung Islands Province in 2005 experienced a spike, reaching 36,901 people out of 981,573 residents and claimed the lives of 12 local residents. In 2011, the Bangka Belitung Islands Province was declared an endemic area for malaria. This research aims to model and interpret the spread of malaria using the SEIR model and predict the spread of malaria using parameter estimates. The steps in analyzing the SEIR model on the spread of malaria are making assumptions, forming a SEIR model, determining the equilibrium point and analyzing the stability of the equilibrium point, determining the basic reproduction number, and carrying out a simulation of the SEIR model that has been obtained. The SEIR model is classified into 4 classes, namely Susceptible (susceptible individuals), Exposed (individuals who have symptoms), Infected (infected individuals), and Recovered (recovered individuals). The data used in this research is data on the number of Susceptible, Exposed, Infected, and Recovered malaria cases in 2022 obtained from the Bangka Belitung Islands Provincial Health Service. The SEIR mathematical model is used to calculate the equilibrium point and basic reproduction number. Based on the SEIR model simulation results, it was found that the susceptible population decreased from the 0th month to the 48th month. As for the exposed population, there were 9,623 people in month 0, but in this condition the population decreased drastically per month. Furthermore, for the infected population there were 129 people in month 0, but in this condition the number of infected decreased drastically per month along with the decrease in the exposed population. For individuals who recovered, there was a increase from the 0th month to the 48th month.

Implementasi Artificial Neural Network (ANN) dalam Memprediksi Nilai Tukar Rupiah terhadap Dolar Amerika Sakti, Adam Indra; Saputra, Lianda; Suhendra, Helen; Halim, Nikken; Alviari, Irfaliani; Ilham, Muhammad Rozan Nur; Putri, Marwah Hotimah Nada; Dalimunthe, Desy Yuliana
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 12 Issue 2 December 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i2.26654

The exchange rate of one country's currency against other countries takes an important role in the development and economic activities for a nation. This condition of the Indonesian currency exchange rate, namely the rupiah, is now continuously increasing, meaning that the exchange rate is weakening and experiencing depreciation. Apart from that, the rupiah exchange rate also experiences fluctuations, so forecasting is needed to find solutions to problems that will arise if the currency exchange rate increases. This research purpose is to find the best of network archictecture and to predict the selling rate of the rupiah (Rp) per 1USD for one year. The forecasting method used in this research is using an Artificial Neural Network (ANN) with Backpropagation algorithm. This method is suitable for use in time series analysis because the algorithm is able to adjust the data and has a relatively small error. The data used is the rupiah exchange rate against the USD in the form of time series data, which from March 1, 2019 to February 28, 2024. The data scenario of 90% training and 10% testing at the training stage obtained the best architecture 4-20-1 with MSE is 0.0010385. The data scenario is 80% training and 20% testing where in the training the best architecture is 4-25-1 with an MSE of 0.00089412. The data scenario is 70% training 30% testing where in the training the best architecture is 4-25-1 with an MSE of 0.00099221. Thus, the prediction prices used are predictions for the 80% training data scenario and 20% testing data, because the accuracy results (MSE) are better than the other two scenarios.

PEMANFAATAN POTENSI SUMBER AIR PANAS SEBAGAI UPAYA PEMBERDAYAAN MASYARAKAT DENGAN PEMBANGUNAN WISATA KOLAM TERAPI DI DUSUN JURUH DESA DENDANG Silaban, Yabes Sentosa; Putri, Marwah Hotimah Nada; Halim, Nikken; Alviari, Irfaliani; Prayanti, Baiq Desy Aniska
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 4 No 2 (2023): Volume 4, Nomor 2, Oktober 2023
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/abdimastek.v4i2.1991

Sektor pariwisata merupakan salah satu aspek dalam pembangunan ekonomi yang berpotensi untuk dikembangkan sebagai salah satu sumber pendapatan daerah. Desa Dendang merupakan salah satu desa di Kecamatan Kelapa, Kabupaten Bangka Barat yang mempunyai luas wilayah sebesar 47.230 Ha. Banyak potensi yang ada meliputi potensi sumber daya alam, potensi sumber daya manusia, potensi sumber daya pembangunan, dan potensi sumber daya sosial budaya. Oleh karena itu, mengembangkan Desa Dendang menjadi tempat rekreasi wisata sebagai eksistensi pariwisata yang memiliki nilai jual dan ikon wisata di Kabupaten Bangka Barat. Rangkaian kegiatan yang sudah kami laksanakan adalah pembukaan, Focus Group Discussion, sosialisasi POKDARWIS, gotong royong, pembangunan crack tracking, pembuatan kolam terapi, seminar UMKM, dan penutupan dengan mengajak Masyarakat berpartisipasi. Adapun capaian luaran yang didapat merupakan destinasi wisata kolam terapi, buku Pengembangan kapasitas, modul, dan luaran lainnya. Harapan keberlanjutan kegiatan ini yaitu dilakukannya penelitian lanjutan mengenai sumber mata air panas, pengajuan staycation sebagai rest area, Pembangunan spot foto, pengajuan surat keputusan untuk wisatq dan promosi budaya di Desa Dendang.

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