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E-KOMPEN (ELEKTRONIK-KOMIK PENDEK) sebagai solusi cerdas dalam meningkatkan minat baca masyarakat Indonesia di era digital Anwar Efendi Nasution
IQRA`: Jurnal Ilmu Perpustakaan dan Informasi (e-Journal) Vol 13, No 1 (2019)
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/iqra.v13i1.4365

Abstract

In this journal, the author describes the idea of E-KOMPEN (Short Electronics-Comics) as a smart solution in increasing reading interest in Indonesian society in the digital era. With this solution, it is hoped that it can help the community to increase their reading interest in books, journals, and other sources. Comics are illustrated stories. This idea was motivated by the problem of reading interest in Indonesia. The reading culture in Indonesia is ranked the lowest with a value of 0.001. That is, from around one thousand Indonesian residents, only one has a high reading culture. This condition is much different when compared to America which has an index reading of 0.45 and Singapore 0.55. This solution is expected to be able to answer the challenges of increasing the reading interest of the Indonesian people to improve the quality of Indonesia's human resources. With the increasing quality of Indonesia's human resources, Indonesia's natural resources will be managed well by the Indonesian people themselves without having to make massive imports. Also, Indonesia will be able to use the demographic bonus as well as possible so that the demographic bonus can be a big advantage for Indonesia. Keywords: Comic, reading, library.
Modified Genetic Algorithm in Isotropic Semivariogram Modeling: A Case Study of Groundwater Level in Kalimantan Peatland Kurnia Novita Sari; Ari Ratna Gumilang; Muhammad Rozzaq Hamidi; Anwar Efendi Nasution; Giraldi Fardiaz Kuswanda
IJoICT (International Journal on Information and Communication Technology) Vol. 11 No. 2 (2025): Vol. 11 No. 2 Dec 2025
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v11i2.10021

Abstract

The purpose of this study is to develop a method to estimate semivariogram parameters using genetic algorithm (GA). GA is a numerical method that has been extensively applied. GA is applicable to estimate semivariogram parameters including constraint based on the parameters. The modification that applied to GA shows better performance than iterative least square (ILS). The application of spatial analysis to groundwater level (GWL) in peatland areas is still limited, especially semivariogram analysis. Thus, the m-GA (modified-GA) is applied to GWL in Kalimantan peatland and then compared with ILS. The study shows that the spherical semivariogram model estimated using the m-GA provides the best performance, because both the model and kriging have the lowest root mean square error (RMSE) values, at and , respectively. The combination of spherical semivariogram model with the m-GA produces optimal and accurate semivariogram parameters to support kriging interpolation on GWL peatland.