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All Journal IJID (International Journal on Informatics for Development) International Journal of English and Applied Linguistics (IJEAL) Teknomatika: Jurnal Informatika dan Komputer IEMJ: Islamic Education and Management Journal
Nurochman
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Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media

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RANCANG BANGUN SOFTWARE BERBASIS ANDROID UNTUK PENCARIAN MASJID TERDEKAT SEBAGAI ALAT BANTU BAGI MUSLIM MUSAFIR Nurochman
Jurnal Teknomatika Vol 6 No 2 (2014): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Seorang muslim wajib melaksanakan sholat lima waktu dalam sehari semalam. Bagi musafir, mencari masjid merupakan kebutuhan yang mendesak ketika hendak menunaikan sholat. Teknologi Global Positioning System (GPS) yang dipadukan dengan Location Based Service (LBS) dapat digunakan untuk membantu pengguna mencari lokasi obyek yang diinginkan, misalnya masjid. Namun kendala yang muncul adalah ketika pengguna berada pada daerah yang tidak mendapatkan sinyal. Penelitian ini telah berhasil membangun sistem berbasis android untuk mencari lokasi masjid terdekat dengan bantuan GPS atau menggunakan inputan berupa nama daerah dimana pengguna berada. Hasil pengujian menunjukan fungsionalitas sistem sudah berjalan dengan baik. Namun hanya saja akurasi dalam mendeteksi posisi pengguna sangat terpengaruh oleh kualitas GPS yang tertanam dalam device android pengguna.
Translation Analysis of Social Cultural Words in Bumi Manusia Movie Arshila Andista Mantika; Nurochman
International Journal of English and Applied Linguistics (IJEAL) Vol. 3 No. 2 (2023): Volume 3 Issue 2 Agustus 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijeal.v3i2.2358

Abstract

Translation problems may arise because of cultural differences in movie subtitles. Thus, subtitling strategies have become important for translating social and cultural information. This study aims to identify the social cultural words using Newmarks’s (1988) theory and to investigate the subtitling strategies employed by the translators using Pedersen’s (2011) theory. The data used in this research are cultural words in Indonesian subtitles and English subtitles in the movie Bumi Manusia. Moreover, the researcher used the descriptive qualitative method. As a result, the researcher found that there were 166 social culture words found in the movie, which were work, name, terms of address, kinship, and leisure terms. The result revealed that the most frequent cultural-related terms of the social cultural words are names of a person with 34% of data. Furthermore, this study found that the translator employed seven subtitling strategies when translating cultural words, which were official equivalent (39%), retention (37%), substitution (14%), direct translation (4%), generalization (4%), omission (2%), and specification (1%). It can be concluded that the official equivalent is the dominant strategy applied by the translator, followed by retention.
Sentiment Analysis of Tweets on Prakerja Card using Convolutional Neural Network and Naive Bayes Hardjita, Pahlevi Wahyu; Nurochman; Hidayat, Rahmat
IJID (International Journal on Informatics for Development) Vol. 10 No. 2 (2021): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2021.3007

Abstract

The Indonesian government launched the Prakerja (pre-employment) card in the midst of the COVID-19 pandemic, andthe local citizens have voiced their opinions about this controversial program through social media such as Twitter. People’scomments on it can be useful information, and this research tries to analyze the sentiment regarding the Prakerja Card programusing the Convolutional Neural Network and Naive Bayes methods. The main task in this sentiment analysis is analyzing the dataand then classifying them into one of the following classes: positive, negative or neutral. Naive Bayes is an algorithm that is often usedin sentiment analysis research, and the results have been very good. Convolutional neural network (CNN) is a deep learning algorithmthat uses one or more layers commonly used for pattern recognition and image recognition. Having applied these methods, thisresearch found that the CNN model with the GlobalMaxPooling layer is the best model of the other two CNN models. Sentimentanalysis has the best accuracy of 78.5% on the CNN method, and NBC of 76.2% accuracy. The best accuracy result in K-fold withfive classes is 85.4% on the CNN model with a learning rate optimization of 0.00158. While the average accuracy on NBC only reached75.3%
Tinjauan Sosiologis Terhadap Tantangan Impelementasi Regulasi Wajib Belajar di Indonesia Nurochman
IEMJ: Islamic Education and Management Journal Vol. 2 No. 1 (2025): IEMJ: Islamic Education and Management Journal
Publisher : Sekolah Tinggi Agama Islam (STAI) Ki Ageng Pekalongan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64994/iemj.v2i1.26

Abstract

This research contributes to the importance of cultural and political approaches in the development of faith-based educational institutions. This study aims to describe the sociological review related to the challenges of implementing Government Regulation No. 47 of 2008 on compulsory education in Indonesia. This qualitative research in the form of a literature study uses a descriptive approach. The research data uses various scientific literature that is correlated with the subject matter. Meanwhile, data analysis employs the stages of reduction, presentation, and verification. The findings of this study conclude that there are several issues posing challenges in the implementation of the Government Regulation on Compulsory Education in Indonesia, including cultural issues, the secularisation of education, the commercialisation of education, equity, and school examinations. This research contributes to the importance of sociological evaluation of the effectiveness of implementing regulations on compulsory education in Indonesian society.
Co-Authors Arshila Andista Mantika Hardjita, Pahlevi Wahyu Rahmat Hidayat