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All Journal Indonesian Journal of Artificial Intelligence and Data Mining HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi 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.
SISTEM REKOMENDASI DESTINASI WISATA DI KOTA KUPANG DENGAN METODE WEIGHTED PRODUCT Marlinda Vasty Overbeek; Remerta Noni Naatonis
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p30-34

Abstract

From 2006 to the latest data collection in 2017, the number of domestic and foreign tourists visiting East Nusa Tenggara is increasing. In Kupang city as the provincial capital of East Nusa Tenggara. Kupang City is not just a temporary stop when tourists want to transit to other islands in East Nusa Tenggara but have become tourist destinations. The increasing number of tourist visits is not accompanied by a system of recommendations about tourist destinations in the city of Kupang, In this study a recommendation system was built in Kupang City using the weighted product method, which is one of the techniques of Multiple Alternative Decision Making. Weighted products use multiplication to connect attribute ratings. The criteria used in this study are 3 criteria, namely costs, facilities provided and reviews from previous visitors. While for locations or tourist destinations there are 55 tourist destinations in Kupang City which are the alternatives in this study. From the results of the study, for natural attractions, Namosain Beach ranked first to be visited with a value of 0.00519. As for artificial tourism objects, Nostalgia Park is the first place with a value of 0.0805. As for culinary tourism, Nostalgia Park culinary ranks first at 0.0904.
HISTOGRAM OF ORIENTED GRADIENT UNTUK DETEKSI EKSPRESI WAJAH MANUSIA Marlinda Vasty Overbeek
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 2 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no2.p81-86

Abstract

This research focuses on the detection of human facial expressions using the Histogram of Oriented Gradient algorithm. Whereas for the classification algorithm, Convolutional Neural Network is used. Image data used in the form of seven different expressions of humans with the extraction of 48x48 pixels. The use of Histogram of Oriented Gradient as a feature extracting algorithm, because Histogram of Oriented Gradient is good to be used in detecting moving objects. Whereas Convolutional Neural Network is used because it is an improvement of the Multi Layer Perceptron algorithm. Of the three epoches done, it produced the best accuracy of 77% re-introduction of human facial expressions. These results are quite convincing because it only uses three epochs.
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 Remerta Noni Naatonis Sagita Sasmita Wijaya