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All Journal Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit

Naimah Putri

Program Studi Teknologi Pengolahan Kulit, Politeknik ATK Yogyakarta

Author-ID : 6230996

Arts Chemical Engineering, Chemistry & Bioengineering Engineering Industrial & Manufacturing Engineering Social Sciences

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EKSPLORASI KULIT KAYU LANTUNG DENGAN METODE DESIGN THINKING UNTUK PENGEMBANGAN PRODUK UMKM LANTUNG BENGKULU Mochammad Charis Hidayahtullah; Eka Legya Frannita; Yuafni; Sugiyanto; Naimah Putri; Fauzi Ashari; Latifah Listyalina; Wahyu Ratnaningsih
Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit Vol 21 No 2 (2022): Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit
Publisher : Politeknik ATK Yogyakarta

Indonesia is one of the countries that have contributed to the apparel, leather, and textile industry in the international market. Not only that, but Indonesian MSME handicrafts are also one of the commodities that can increase the country's foreign exchange, one of which is the lantung bark craft from Bengkulu. However, the creative industry is constantly facing competition with the entry of cheap products from China that get easy access with the increasing e-commerce technology. Providing value for the Lantung Bengkulu MSME products to compete locally and globally, one of the steps is to apply the Design Thinking Method and take the distinctive character of the stylized Serawai Tribe Weaving in the exploration process. The results of this study have obtained data that 47 Bengkulu women consumers as much as 89.4% like the results of the re-design and exploration of lantung shoes that have been designed. In determining the selling price of MSME Lantung Bengkulu should also set a price range of Rp. 110.000 to Rp. 500.000 because it corresponds to the purchasing power of female consumers in Bengkulu. The results of this study directly contribute to providing product value to the typical Bengkulu Lantung MSMEs. The Design Thinking method has been successfully increasing the value of the Lantung Bengkulu MSME products, this method can be applied to similar research to develop local MSMEs in Indonesia.

IMPLEMENTASI ARTIFICIAL INTELLIGENCE PADA PENGEMBANGAN SISTEM DETEKSI LIMBAH INDUSTRI PRODUK KULIT OTOMATIS Eka Legya Frannita; Naimah Putri; Mochammad Charis Hidayahtullah
Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit Vol 21 No 2 (2022): Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit
Publisher : Politeknik ATK Yogyakarta

Rapid globalization has led to the growth of a significant amount of waste, including in the industry. Due to the considerable amount of growth of waste every year, effective and efficient waste management is needed to protect our environment. In the leather product industry, waste management is strongly important since it may have a significant impact to the employee and production process. Regarding those issues, waste management technology is considered proposed in order to solve those problems. Current research reported the outstanding work of implementing artificial intelligence for detecting and recognizing industrial waste. Artificial intelligence was proven to be a highly recommended approach that is able to classify several waste types with outstanding performance. Regardless of those facts, artificial intelligence still remains several hurdles, such as the high computational demands, especially for deep learning networks. Regarding the mentioned issue, we proposed a more proper deep learning network for recognizing industrial waste. In this research work, we use Single Shot Detector (SSD) to recognize and classify industrial waste. Our proposed solution was performed in the TrashNet dataset and Waste Picture dataset. Our proposed solution successfully achieve mAP of 0.8813, accuracy of 0,9795, precision of 0,9985 and recall of 0,9693 in the training process. Whereas, in the testing process we achieve average accuracy of 0,8254. According to those results, we can conclude that our proposed solution is suitable for industrial waste detection and has potential to be implemented as an embedded system for recognizing industrial waste automatically.

ISOLASI DAN IDENTIFIKASI STAPHYLOCOCCUS AUREUS DARI LUKA KULIT SAPI PERAH SECARA IN VITRO Naimah Putri; Eka Legya Frannita; Mochammad Charis Hidayatullah
Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit Vol 21 No 2 (2022): Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit
Publisher : Politeknik ATK Yogyakarta

The skin is the largest organ of the body that can be infection. One of the causes of infections is microorganisms. The presence of Staphylococcus aureus on the skin of dairy cattle can affect the quality of leather. This research was conducted to isolate and identify S. aureus from the skin of injured dairy cattle. The sample was taken from a dairy farm in Surabaya. Isolation of S. aureus was carried out using NA and MSA selective media, while characterization was carried out using gram staining, catalase test, and coagulase test. The research results showed that samples isolated from wounds on the skin of dairy contained S. aureus. Gram staining test showed gram positive bacteria with coccus morphology and clustered arrangement. The catalase test was positive with the formation of H2O and O2. Catalase test was indicated by the formation of coagulation or clots in the blood plasma. These results indicated that the skin with contains S. aureus bacteria which can cause infection so that it can affect the quality of the skin to be tanned.

Co-Authors Eka Legya Frannita Fauzi Ashari Latifah Listyalina Mochammad Charis Hidayahtullah Mochammad Charis Hidayatullah Sugiyanto Wahyu Ratnaningsih Yuafni

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