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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Prosiding Konferensi Nasional PKM-CSR
Marlinda Vasty Overbeek
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Environmental Science Nursing Public Health Social Sciences

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Ant Colony Optimization for Traveling Tourism Problem on Timor Island East Nusa Tenggara Yampi R Kaesmetan; Marlinda Vasty Overbeek
Indonesian Journal of Artificial Intelligence and Data Mining Vol 3, No 1 (2020): March 2020
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v3i1.9274

Abstract

Timor island consists of five districts and one city, namely Kupang District, South Central Timor District, North Central Timor, Belu District, Malaka District, and Kupang City. On the Timor island, it has natural tourist destinations, culinary tours, cultural and historical attractions most on the island of Timor. The Ant Colony Optimization (ACO) Algorithm is very unique compared to the other nearby search algorithm, this algorithm adopted because of Ant Colony who were looking for food from the nest to food sources by leaving a footprint called Pheromone. Mapping system algorithm using ant, tourist sites can show the shortest route between two points is desired. Ants algorithm proved to be applied in determining the optimum route, but still has the disadvantage of dependence on the parameter value is not maximized. From the test results based on parameters of the cycle and the number of ants affects the simulation time, for ant algorithm parameters. From the test results based on the parameters, α and β affects, number of node, the simulation time and the shortest distance varying toward the destination even if the starting location and ending on the same location.
PELATIHAN DASAR MEMBATIK DAN TIE DYE KEPADA DHARMA WANITA PERSATUAN (DWP) LEMBAGA PEMBINAAN KHUSUS ANAK (LPKA) KELAS II JAKARTA Fenina Adline Twince Tobing; Indiwan Seto Wahjuwibowo; Eunike Endariahna Surbakti; Marlinda Vasty Overbeek
Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) Vol 4 (2021): Peran Perguruan Tinggi dan Dunia Usaha dalam Mewujudkan Pemulihan dan Resiliensi Masya
Publisher : Asosiasi Sinergi Pengabdi dan Pemberdaya Indonesia (ASPPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37695/pkmcsr.v4i0.1266

Abstract

Kegiatan pelatihan membatik adalah salah satu wujud gerakan kembali mencintai batik yang merupakan seni tradisional asli Indonesia dan perlu untuk dilestarikan agar tidak punah. Dalam perkembangan potensi ketrampilan khusus tentunya seni kerajinan diharapkan juga megikuti kreatifitas yang tujuannya hasil karya pelatihan tidak berkesan hanya karya kreatifitas biasa atau stagnan saja, tetapi perlu melakukan pengembangan ide-ide yang fress, inovatif dan trend yang karya pelatihan bisa menjadi karya fungsional. Dalam pelatohan membati ini harapannya dapat menghasilkan karya produk unggulan sampai purna jual yang digandrungi. Pelatihan membatik ini bertujuan untuk menambah keterampilan anggota Dharma Wanita, dan diharapkan dapat mengembangkan batik menjadi ikon produk kerajinan didaerah kita. Selain itu, melalui pelatihan ini nantinya juga dapat menciptakan lapangan pekerjaan baru bagi kalangan perempuan dan diharapkan dapat menularkan ilmu yang didapat oleh anggota DWP LPKA Kelas II Jakarta. Diharapkan dengan adanya pelatihan Membatik dan Tie Dye ini, anggota DWP punya jiwa wirausaha dan wiraswasta membuat Membatik dan Tie Dye . Ini juga menjadi bagian kita untuk melestarikan produk batik dan pengembangannya seperti Tie Dye beserta tekniknya. Tidak masalah jika seseorang tidak memiliki latar belakang kerajianan membatik, namun tetap mampu mengikuti dan membuat Membatik dan Tie Dye yang baik dan indah. Kata Kunci : Membatik, Tie Dye, Pelatihan
Small Timescaled Data for Covid-19 Prediction with RNN-LSTM in Tangerang Regency Sagita Sasmita Wijaya; Marlinda Vasty Overbeek
Indonesian Journal of Artificial Intelligence and Data Mining Vol 6, No 1 (2023): Maret 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v6i1.21676

Abstract

Throughout the pandemic, many people have become familiarised with the new type of virus that has been spreading throughout the world, called the Coronavirus. On the 2nd of March, the year 2020, the Indonesian government had announced the identification of first Covid-19 case in Indonesia. With the arrival of Covid-19, and its spreading across all the provinces of Indonesia, the number of positive cases keeps growing even in the present day. Tangerang Regency is one of the areas that has opaqued citizens in the Banten Province. The purpose of this research is to discuss how to predict the sum of Covid-19 cases in the Tangerang Regency using the RNN-LSTM method. Although this method is very eloquent if used to perform a sequential task, its complexity and loss of gradient can make this model difficult to be trained, hence resulting in the use of the Long Short-Term Memory (LSTM) to reduce these weaknesses and help the RNN to look back on past data. This research uses Python as the programming language and Jupyter Notebook for the visualization of the results of the prediction. Therefore, the prediction model has been evaluated using various computational methods, such as RMSE with its error percentage of 0.05, and MSE and MAE with the same error percentage of 0.03 with the loss of their models being 9.6793e-04.
Co-Authors Eunike Endariahna Surbakti Fenina Twince Tobing Indiwan Seto Wahjuwibowo Kaesmetan, Yampi R Sagita Sasmita Wijaya