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EXPLORATION OF LANTUNG WOOD LEATHER WITH DESIGN THINKING METHOD FOR PRODUCT DEVELOPMENT OF LANTUNG BENGKULU MSMEs Mochammad Charis Hidayahtullah; Eka Legya; 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 Kulit, Sepatu dan Produk Kulit
Publisher : Politek ATK Yogyakarta Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58533/1fp7hf54

Abstract

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.
IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF AUTOMATIC LEATHER PRODUCT INDUSTRIAL WASTE DETECTION SYSTEM Eka Legya; Mochammad Charis Hidayahtullah; Naimah Putri
Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit Vol. 21 No. 2 (2022): Berkala Penelitian Kulit, Sepatu dan Produk Kulit
Publisher : Politek ATK Yogyakarta Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58533/bggd2f46

Abstract

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.
ISOLATION AND IDENTIFICATION OF STAPHYLOCOCCUS AUREUS FROM WOUNDS OF DAIRY CATTLE IN VITRO Naimah Putri; Eka Legya; Mochammad Charis Hidayahtullah
Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit Vol. 21 No. 2 (2022): Berkala Penelitian Kulit, Sepatu dan Produk Kulit
Publisher : Politek ATK Yogyakarta Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58533/yyyr7t18

Abstract

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.
Effect of Mordant Types on the Characteristics of Eco-Printed Leather using Bark-Based Natural Dyes for Veterinary Health Applications Putri, Naimah; Rahmawati, Atiqa; Wibowo, Raden Lukas Martindro Satrio Ari
Jurnal Ilmu dan Teknologi Hasil Ternak Vol. 21 No. 2 (2026)
Publisher : Faculty of Animal Science and Technology Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jitek.2026.021.02.1

Abstract

This study aimed to evaluate the characteristics of eco-printed leather dyed with natural dyes and treated with various mordants before the dyeing process. Dye penetration from Sappanwood, Tegeran, and Jalawe dyes was assessed at intervals of 30 min, 60 min, and 90 min. In the eco-printing part of the study, samples treated with three different mordants were compared: Mordant A (Al?(SO?)?), Mordant B (CaCO?), and Mordant C (FeSO?). The quality of eco-printed leather was evaluated by measuring parameters such as tensile strength, elongation, tear strength, thickness, and color fastness to rubbing. The results showed that the optimal dye penetration time for all natural dyes on leather was 60 min. Physical quality tests revealed that leather treated with CaCO? and dyed with Sappanwood had the highest elongation (59.998 ± 15.96%) and tensile strength (15.323 ± 0.885 N/cm²). Conversely, Tegeran dye combined with Al?(SO?)? produced the strongest tear strength (21.475±0.206 N/mm). Regarding rubbing fastness, all mordants performed similarly, scoring from 3 (sufficient) to 4 (good). For dry rubbing, all mordants scored between 3 (good) and 4 (good). However, in wet rubbing tests, FeSO? was rated lower, with scores ranging from 1 to 2 (poor).