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Pelatihan Akuntansi Bagi Karang Taruna Sebagai Upaya Peningkatan SDM Dusun Bolu Kecamatan Seyegan Ninik Tri Hartanti; Mei Maemunah; Emigawaty Emigawaty; Laksmindra Saptyawati; Nur’aini Nur’aini; Sri Mulyatun
Journal of Community Development Vol. 3 No. 3 (2023): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v3i3.115

Abstract

Yogyakarta is a province that has many features, both cultural and natural. One of the factors driving the economic growth of a region is the agricultural sector, which can be a promising opportunity, apart from being a producer of economic growth it can also have the opportunity to be a driver of growth in other development sectors in an area. One of them is the expansion of the agro-tourism business from Bolu hamlet, Seyegan sub-district, Yogyakarta, which will empower the younger generation, especially youth organizations, as managerial actors in tourism villages. Improving financial management skills for the community, especially in agro-tourism villages, is one of the solutions to existing problems. Through this community service activity, it is hoped that the community, especially youth organizations, will understand the concept and meaning of a cash book, namely a financial journal that contains notes on cash receipts and payments, and understand the benefits of a cash book, namely being able to know the financial condition of a business based on detailed and consistent recording. , as well as a reference to see which part of the business can be the biggest sales driver or discover what causes the biggest expenses. The result of this community service activity is to add insight to the community, especially youth organizations about the bookkeeping system, recording daily transactions so that the business being carried out can provide the expected benefits.
Penerapan Algoritma Haar Like Feature Untuk Deteksi Pornografi Sri Mulyatun
The Indonesian Journal of Computer Science Research Vol. 1 No. 1 (2022): Januari
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v1i1.2

Abstract

In this study, researchers tried to apply the digital image method, namely the Haar-Like Feature algorithm, hm, to detect objects in pornographic videos. The input space given to the Haar-Like Feature is in the form of the x-axis, y-axis, area width, and area height that has been processed through the image labeling stage; the input space will be used to detect and determine the position of the object. The objects seen in this study are breasts and sex toys, based on a survey of 102 questions conducted by researchers who got 70 respondents. The survey results said the highest percentage of porn on the breast is 60% and sex toys 8%. The conclusion from this research is that the use of the haar-like feature algorithm can detect objects in pornographic videos and the results of the evaluation of the model with a training dataset of 4881 images get an accuracy value of 63.33%.