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Maulana, Ikmal
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Arts Humanities Civil Engineering, Building, Construction & Architecture Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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ASA DALAM ALUNAN GULA GENDING : STUDI TENTANG PANDANGAN MASYARAKAT DESA KEMBANG KERANG DAYA TENTANG PENDIDIKAN Inderasari, Oryza Pneumatica; Fatoni, Haerul Rizal; Maulana, Ikmal; Sopian, Muhammad Ali
Journal of Urban Sociology Volume 4 No 2 Tahun 2021
Publisher : Universitas Wijaya Kusuma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30742/jus.v4i2.1775

Abstract

Poverty, for some people, is not always followed by low education. This is evidenced by the experience of the gula gending sellers who can send their children to higher education. This research was completed using a qualitative descriptive method with the help of the social construction theory of Peter L. Berger and Luckman. Sources of data used are primary and secondary data. Bringing up the title "Asa in the strains of Gula Gending: A Study of the Views of the People of Kembang Kerang Daya Village on the Ability of Gula Gending Sellers to Send Children to Higher Education", describing the limitations of parents in terms of education, skills, and access to employment, has actually become a motivator for parents to change the future for the better. Children are believed to be an investment in the future, both in the hereafter and in the world, for gula gending sellers, so educating them to have a strong motivation in education is part of worship and struggle. In the results and conclusions, we describe the discussion: (1) gula gending in Kembang Kerang Daya Village, (2) the seller of gula gending and children's education, (3) the views of the people from Kembang Kerang Daya Village on the ability of the gula gending seller to send their children to higher education. And (4) the potential for culture and education that can be a potential for community empowerment. Keywords: Seller’s Expectations, Gula Gending, The Meaning of Education
The Peningkatan Ketepatan Passing Atas Dalam Permainan Bola Voli Dengan Latihanmenggunakan Bola Training Setter Nur Mulyadi, Dwi Yulia; Juhrodin, Juhrodin; Maulana, Ikmal
Jurnal Gladiator Vol 3 No 1 (2023): Jurnal Gladiator
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/gltdor492011

Abstract

Penelitian ini bertujua untuk mengetahui adakah pengaruh Latihan dengan menggunaakan bola training setter terhadap ketepatan passing atas dalam permainan bola voli yang dilakukan pada club bola voli putra Jaguar Kota Tasikmalaya. Metode yang digunakan dalampenelitian ini adalah metode eksperimen. Populasi dalam penelitian ini adlaah klub bola voli putra Jaguar di Kota Tasikmalaya yang berjumlah 24 orang dan diambil 24 orang sebagai sample. Berdasarkan hasil pengolahan data dengan menggunakan uji statistic, ditemukan pengaruh yang signifikan antara Latihan menggunakan bola training setter dan Latihan dengan menggunakan bola biasa terhadap ketepatan passing atas permainan bola voli pada club bola voli putra Jaguar Kota Tasikmalaya.
Optimizing KNN Algorithm Using Elbow Method for Predicting Voter Participation Using Fixed Voter List Data (DPT) Maulana, Ikmal; Roestam, Rusdianto
Jurnal Sosial Teknologi Vol. 4 No. 7 (2024): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v4i7.1308

Abstract

The purpose of this study is to produce maximum predictions for election participation rates. KNN (K-Nearest Neighbors) is one of the machine learning algorithms used to classify or regress data. The KNN algorithm works by finding the closest K training data from test data to be classified. Although the KNN (K-Nearest Neighbors) algorithm has advantages such as being easy to implement and being able to handle non-linear data, this algorithm also has several weaknesses, one of which is the determination of the value of K which is very ordinary and subjective. Therefore in this study optimization of the value of K on KNN using the Elbow method. The dataset used is the Fixed Voters List (DPT) in the 2019 General Elections in Karawang Regency. The final results of the experiments in this study, the highest achievement was obtained with a Mean Squared Error (MSE) value of 0.0018, a Root Mean Squared Error (RMSE) value of 0.0422, and a Mean Absolute Percent Error (MAPE) value of 6.36%. The highest accuracy produced in this study was 95.63% and the lowest was 93.64% with an average accuracy of 95.02%.
Co-Authors Fatoni, Haerul Rizal Juhrodin, Juhrodin Nur Mulyadi, Dwi Yulia Oryza Pneumatica Inderasari, Oryza Pneumatica Rusdianto Roestam Sopian, Muhammad Ali