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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Humanities and Social Studies
Aulia Afifah
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Comparative Evaluation of Preprocessing Methods for MobileNetV1 and V2 in Waste Classification Aulia Afifah; Arumi, Endah Ratna; Maimunah, Maimunah; Setiya Nugroho
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6211

Abstract

Waste management remains a critical challenge for many countries, including Indonesia, which ranks as the world's second-largest contributor of waste. As tens of millions of tons are produced each year and the management system remains ineffective, environmental conditions and public health continue to deteriorate. To address this issue, it is imperative to develop more accurate and efficient solutions to enhance waste classification and management. This study investigates the influence of various image preprocessing techniques on the performance of MobileNetV1 and MobileNetV2 models in the classification of waste images. Preprocessing is crucial for enhancing data quality, particularly when dealing with real-world images that are affected by inconsistent lighting, texture, and clarity. Five preprocessing scenarios were evaluated: Baseline, CLAHE with Bilateral Filtering, CLAHE with Sharpening, Grayscale with CLAHE, and Gaussian Blur with Bilateral Filtering. Among these, the combination of CLAHE and Bilateral Filtering applied to MobileNetV1 achieved the best results, with 85% training accuracy, 96% validation accuracy, a training loss of 0.3178, and the lowest validation loss of 0.1630. Overall, MobileNetV1 benefited more significantly from preprocessing variations than MobileNetV2, particularly in terms of accuracy improvement and reduction in prediction error. These findings underscore the importance of effective preprocessing in enhancing model performance for waste image classification
MEDAN MEANING OF TASIKMALAYA HANDMADE CRAFTS Aulia Afifah; Aulia, Hilwa Hamya; Elsa Sri Lunawati; Galang Diva Erlangga; Aveny Septi Astriani
JOURNAL OF HUMANITIES AND SOCIAL STUDIES Vol. 1 No. 03 (2023): NOVEMBER 2023
Publisher : Media Inovasi Pendidikan dan Publikasi

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Abstract

Indonesia is known for its diverse culture. Each region in Indonesia has a culture with its own characteristics. One of the cities in Indonesia, namely Tasikmalaya, has a culture that is the identity of the city of Tasikmalaya. Therefore, researchers conducted research with the aim of describing the field of meaning of typical Tasikmalaya handicrafts with a range of meaning components and types of meaning. The method used is descriptive qualitative. This method is used because the results of this research are in the form of descriptions. The data source for this research is typical Tasikmlaya handicrafts. The data collection technique is by collecting data regarding typical Tasikmalaya handicrafts. The data was collected with stationery instruments. The semantic study used in this research is lexical semantics. This research produced six data on typical Tasikmalaya handicrafts. Each handicraft has a component meaning and type of meaning that can be differentiated in terms of material, use, color, etc. Therefore. Each typical Tasikmalaya handicraft product has its own characteristics, even though some products look the same.
ANALYSIS OF LANGUAGE ERRORS IN ONE OKEZONE MEDIA JOURNALISTIC PRODUCT Anjani Lintang Pertiwi; Aulia Afifah; Vanessa Viviana Shodiq; Aveny Septi Astriani
JOURNAL OF HUMANITIES AND SOCIAL STUDIES Vol. 1 No. 03 (2023): NOVEMBER 2023
Publisher : Media Inovasi Pendidikan dan Publikasi

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Abstract

This research is motivated by language errors due to a lack of understanding of the language used, and inappropriate or imperfect language teaching often occurs in the mass media. The method used in this research is a descriptive method because in this research it analyzes and examines a research data object according to the facts. The data collection technique is by reading and analyzing language errors from the text. The data collection instruments used were a feature text entitled "4 OOTD Inspirations during the Rainy Season, Stay Cool and Warm" and stationery. Then, the data analysis techniques in this research include: (1) reading the feature text "4 OOTD Inspirations during the Rainy Season, Stay Cool and Warm"; (2) analyzing language errors in the text; (3) write down the analysis results obtained. This research is useful in providing in-depth insight into language errors that are often found in various mass media.
Co-Authors Anjani Lintang Pertiwi Astriani, Aveny Septi Aulia, Hilwa Hamya Elsa Sri Lunawati Endah Ratna Arumi, Endah Ratna Galang Diva Erlangga Maimunah, Maimunah Setiya Nugroho Vanessa Viviana Shodiq