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All Journal Jurnal Ilmu dan Teknologi Hasil Ternak Telematika : Jurnal Informatika dan Teknologi Informasi TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Sains dan Teknologi Peternakan Journal of Applied Veterinary Science and Technology Jurnal Agro Dedikasi Masyarakat (JADM) Jurnal Agripet Buletin Veteriner Udayana Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit
Naimah Putri
Department Of Leather Processing Technology, Politeknik ATK Yogyakarta, 55188, Special Distric Of Yogyakarta, Indonesia
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The Application of Artificial Intelligence in Waste Classification as an Effort In Plastic Waste Management Listyalina, Latifah; Utami, Ratri Retno; Arifin, Uma Fadzilia; Putri, Naimah
Telematika Vol 21, No 1 (2024): Edisi Februari 2024
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v21i1.11977

Abstract

Purpose: Sorting waste before it is deposited in the Final Disposal Site (TPA) is crucial to reduce the increasing amount of waste accumulation each year. This issue can be addressed by implementing machines capable of automatically sorting waste.Design/methodology/approach: This research is quantitative and utilizes secondary data, namely image data of various types of waste. The images will be classified into organic and inorganic waste using a deep learning model. The measurement conducted involves assessing the accuracy of the designed deep learning model in classifying waste images into appropriate categories.Fondings/results: Based on the available dataset, waste identification will be performed, including food waste, paper, wood, leaves, electronic waste, metal, plastic, and bottles. The overall accuracy of the model is 94.42%, indicating that the model correctly classifies 94.42% of waste samples.Originality/value/state of the art: This research can classify 8 types of waste classes successfully using deep learning.
Study of Histological Skin Structure of Python reticulatus and Varanus salvator Putri, Naimah; Wibowo, Raden Lukas Martindro Satrio Ari; Rahmawati, Atiqa; Jonathan, Sebastian; Tarigan, Deo Steven Barney
Jurnal Sains dan Teknologi Peternakan Vol 5 No 2 (2024): Jurnal Sains dan Teknologi Peternakan
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/jstp.v5i2.3814

Abstract

Reptile skin is covered with scales that form a protective barrier, making it waterproof and enabling life on land. The present study investigated the histological structure of the skin of the Python reticulatus and Varanus salvator. The samples used were Python reticulatus and Varanus salvator skin taken from the dorsal region. Preparations were made using the hematoxylin eosin (HE) staining method which was carried out at the Microbiology of the leather processing technology, Politeknik ATK Yogyakarta. The results showed that the histological structure of Python reticulatus skin consisted of two layers, epidermis and dermis. The epidermis was composed of stratum corneum, stratum granulosum, and stratum basale. The dermis consists of an outer layer called the stratum laxum (stratum spongiosum) and an inner layer called the stratum compactum. Meanwhile, the histological skin structure of Varanus salvator skin consists of epidermis which included oberhautchen, α-keratin layer, β-keratin layer, supra basale layer, and basale layer. The dermis consists of superficial dermis and deep dermis. There are differences between Python reticulatus skin that is distinguished by its ability to ecydis (skin shedding) the epidermis and Varanus salvator skin have osteoderm (OD) within their dermis layer
The Application of Artificial Intelligence in Waste Classification as an Effort In Plastic Waste Management Listyalina, Latifah; Utami, Ratri Retno; Arifin, Uma Fadzilia; Putri, Naimah
Telematika Vol 21 No 1 (2024): Edisi Pertama 2024
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v21i1.11977

Abstract

Purpose: Sorting waste before it is deposited in the Final Disposal Site (TPA) is crucial to reduce the increasing amount of waste accumulation each year. This issue can be addressed by implementing machines capable of automatically sorting waste.Design/methodology/approach: This research is quantitative and utilizes secondary data, namely image data of various types of waste. The images will be classified into organic and inorganic waste using a deep learning model. The measurement conducted involves assessing the accuracy of the designed deep learning model in classifying waste images into appropriate categories.Fondings/results: Based on the available dataset, waste identification will be performed, including food waste, paper, wood, leaves, electronic waste, metal, plastic, and bottles. The overall accuracy of the model is 94.42%, indicating that the model correctly classifies 94.42% of waste samples.Originality/value/state of the art: This research can classify 8 types of waste classes successfully using deep learning.
Pengembangan Intelligent Leather Inspection Method Berbasis Interpretable Artificial Intelligence Frannita, Eka Legya; Wulandari, Dwi; Putri, Naimah; Rahmawati, Atiqa; Prananda, Alifia Revan
TIN: Terapan Informatika Nusantara Vol 6 No 2 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i2.7425

Abstract

The Industry 4.0 revolution, characterized by the widespread adoption of artificial intelligence and automation, has fundamentally transformed quality inspection processes in manufacturing sectors. Nevertheless, the leather tanning industry continues to rely on conventional visual inspection methods conducted by human operators, which are inherently susceptible to subjectivity, inter-operator variability, and inconsistent outcomes. This study proposes an integrated deep learning framework utilizing the NasNet-Large architecture combined with Local Interpretable Model-Agnostic Explanations (LIME) to automate objective defect detection and quality classification of pickled leather. The research employs a digital image dataset comprising four distinct leather grade categories, each annotated with expert-validated ground truth labels and professional interpretations. Experimental results demonstrate consistent model performance with 75% accuracy in both training and validation phases while achieving improved testing accuracy of 79%. LIME-based interpretability analysis reveals significant spatial convergence between model-identified defect regions and expert-annotated ground truth references. These findings indicate that the developed model exhibits remarkable competence in replicating professional leather quality inspection capabilities. The proposed approach not only enhances inspection efficiency by reducing human-dependent errors but also provides transparent decision-making interpretability - a critical requirement for reliable AI implementation in industrial applications. This research contributes to the advancement of explainable AI systems in material quality assessment, offering methodological innovation and practical implementation value for the leather manufacturing sector.
Histological and Chemical Studies of Goat Skin Transformation Processing of Raw Skin into Tanned Leather Rahmawati, Atiqa; Putri, Naimah; Wibowo, Ari
Jurnal Agripet Vol 25, No 1 (2025): Volume 25, No. 1, April 2025
Publisher : Faculty of Agriculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/agripet.v25i1.43456

Abstract

Fresh goat skin and skins tanned with different tanning agents were prepared for histological, chemical, and physical analyses. Fresh skin samples were fixed in 10% formalin solution, processed using the paraffin embedding technique, sectioned, and stained with hematoxylin and eosin to determine the histological structure. Samples of goat tanned skin, treated with various tanning agents (chrome, aldehyde, chamois, and vegetable), underwent chemical analysis using Fourier Transform Infrared Spectroscopy (FTIR) followed by physical analyses, including tensile strength, tear strength, thickness, and shrinkage temperature. The results showed that the histological structure of fresh skin consisted of two layers: the epidermis and dermis, while tanned leather only exhibited the dermis layer. The epidermis was removed during the tanning process. FTIR analysis of chrome-tanned leather showed bands at 1633 cm1 (amide I), 1554 cm1 (amide II), and 1240 cm1 (amide III). Aldehyde-tanned leather showed bands at 1651 cm1, 1550 cm1, and 1271 cm1 (amide I, II, and III), while vegetable-tanned leather displayed bands at 1634 cm1 (amide I), 1552 cm1 (amide II), and 1239 cm1 (amide III). Shifts in peak positions, intensity, and the number of signature peaks were observed across the tanning agents (chrome, aldehyde, oil, and vegetable). The use of different tanning agentswet blue, wet white, vegetable-tanned, and chamoisresulted in distinct grain-surface structures, significantly influencing the physical characteristics of the leather.
Characterization of Amino Acid Mutations of Newcastle Disease Virus (NDV) In Swan Geese (Anser cygnoides) In East Java, Indonesia Putri, Naimah; Karni, Ine
Journal of Applied Veterinary Science And Technology Vol. 5 No. 1 (2024): April 2024
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/javest.V5.I1.2024.1-6

Abstract

Background: Newcastle disease (ND) is a highly contagious viral disease affecting the poultry industry. The NDV is classified into three strains based on their relative virulence, namely velogenic or highly virulent, mesogenic or moderately virulent, and lentogenic or lowly virulent. The clinical manifestations of the disease vary depending on many factors, such as host susceptibility and the virulence of the NDV strain. Objective: This study aims to analyze the amino acid mutations of the NDV in unvaccinated swan goose (Anser cygnoides) from various locations in Java. Methods: Samples were collected through cloacal swabs and isolated by inoculation in Specific Pathogen-Free (SPF) embryonated eggs that were nine days old. Hemagglutination and hemagglutination inhibition tests were conducted to confirm that the isolated virus was NDV. The isolated virus was processed using reverse transcription-polymerase chain reaction (RT-PCR) with primers that amplified partial sequences of the fusion (F) gene, which was analyzed to determine the pathotype. Results: The results indicated the presence of mutations in several regions. The amino acid changes occurred in 17 variable sites (7.2%) between RefSeq/JF950510 and ND/SW1/2018, 12 variable sites (5.1%) between RefSeq/JF950510 and ND/SW2/2018, 13 variable sites (5.5%) between RefSeq/JF950510 and ND/SW3/2018, and 19 variable sites (8.1%) between RefSeq/JF950510 and ND/SW4/2018. The amino acid sequences of the cleavage site of the fusion (F) protein revealed that all isolates had low virulence. Conclusion: The results indicated that mutations in the region outside the cleavage site not were incapable of altering the virulence of the virus.
ENHANCING FOOD SAFETY AND HALAL REGULATORY AWARENESS THROUGH IN-HOUSE TRAINING AT POLITEKNIK ATK Ratri Retno Utami; Diana Ross Arief; Rofiatun Nafiah; Atiqa Rahmawati; Naimah Putri
Jurnal Agro Dedikasi Masyarakat (JADM) Vol 7, No 1 (2026)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jadm.v7i1.39269

Abstract

The increasing awareness of food safety and halal product status has become a critical issue in the food industry, particularly following the implementation of mandatory halal certification in Indonesia. The Halal Center of Politeknik ATK has been designated as a Halal Product Process Assistance Agency (LP3H), responsible for assisting micro and small enterprises (MSEs) in the halal certification process through the self-declare scheme. However, limited understanding of food safety principles and halal regulations among halal advisors remains a key challenge, potentially hindering certification processes. This study aims to enhance participants’ understanding of food safety principles and halal regulatory requirements through an in-house training program. The training was delivered using lectures, interactive discussions, and case studies, involving 20 participants consisting of halal advisors and prospective advisors from academic staff and the general public.A mixed-method evaluation was conducted using pre-tests, post-tests, and questionnaires. The results showed an increase in the average score from 83.5 in the pre-test to 93.68 in the post-test, indicating improved participant understanding. Participants also reported high satisfaction with the quality of the materials, instructor competence, and overall training implementation. These findings indicate that training on food safety and halal regulations is an effective strategy for enhancing knowledge and awareness, thereby supporting the implementation of halal product assurance and certification in Indonesia
EVALUATION OF PROTECTIVE ANTIBODY LEVELS IN LAYING HENS FOLLOWING VACCINATION AGAINST AVIAN INFLUENZA, INFECTIOUS BRONCHITIS, AND NEWCASTLE DISEASE Vindo Rossy Pertiwi; Intan Kamilia Habsari; Naimah Putri; Nurul Azizah Usman; Dwi Desmiyeni Putri; Otto Sahat Martua Silaen; Desi Maria Sinaga; Cintia Agustin Patria; Agung Adi Candra; Rio Mubarohadi; Kadek Rizky Juliawan; Fadhila Nurul Karima
Buletin Veteriner Udayana Bul. Vet. Udayana. April 2026 Vol. 18 No. 2
Publisher : Fakultas Kedokteran Hewan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/bulvet.2026.v18.i02.p01

Abstract

Avian Influenza (AI), Infectious Bronchitis (IB), and Newcastle Disease (ND) often infect broilers and layers. This study aimed to identify the immunological response of laying hens following vaccination against AI, IB, and ND. Laying hens received a multivalent vaccine containing AI, IB, and ND antigens at 18 and 45 weeks of age. Subsequently, antibody titers were assessed as a measure of the post-vaccination response. Blood samples were collected on days 7, 14, and 21 post – vaccination. Blood samples were collected from the brachial vein of laying hens that had been previously vaccinated. Data will be analyzed descriptively, and comparisons will be made in accordance with existing literature. The variables examined included AI, IB, and ND antibody titers. Results from the hemagglutination inhibition (HI) test for ND and AI antibodies demonstrated a notable increase in titers over the observation period. At day 0, the mean antibody titers for ND and AI were 2.5 and 4.6, respectively, suggesting that baseline antibody levels prior to the post-vaccination immune response were optimal. The ELISA IB test results were seropositive in all samples, both before and 21 days after vaccination. This indicates that all chickens already had antibodies against the IB virus. The study concluded that the highest protective antibody titers for AI, ND, and IB vaccines occurred between days 14 and 21 for AI and IB. Meanwhile, for ND, a decline in protection is observed after day 14, attributable to several factors including vaccine efficacy not guaranteeing complete protection, the timing of administration, the vaccine dose and route of administration, human error (particularly with injectable routes), and the specific strain used. Implementing biosecurity measures within poultry houses is crucial to prevent ND transmission.
ANTIBACTERIAL ACTIVITY OF SAMBILOTO (ANDROGRAPHIS PANICULATA, NEES) ETHANOL EXTRACT AGAINST STAPHYLOCOCCUS AUREUS Naimah Putri; Latifah Listyalina
Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit Vol. 22 No. 1 (2023): Berkala Penelitian Kulit, Sepatu dan Produk Kulit
Publisher : Politek ATK Yogyakarta Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58533/852kk888

Abstract

The use of traditional plants can be used as natural antibacterial in preventing and treating infectious wound diseases caused by Staphylococcus aureus. One of the plants that can be used is bitter leaf. Sambiloto leaves contain several substances that can be used as antibacterial including alkaloids, flavonoids, saponins and tannins. The purpose of this study were to determine the lowest concentration of bitter leaf extract (Andrographis paniculata, Nees) which can inhibit and kill Staphylococcus aureus field isolates in vitro by dilution method. This research was expected to provide information on the benefits of bitter leaf as a drug that can be used in the treatment of infections against Staphylococcus aureus. This study used the dilution method which included Minimum Inhibitory Concentration (MIC) and Minimum Bacteriocid Concentration (MBC). The test results showed that bitter leaf extract (Andrographis paniculata, Nees) had the ability to inhibit the growth of Staphylococcus aureus starting at a concentration of 25% and had the ability to kill Staphylococcus aureus starting at a concentration of 50%.
UTILIZATION OF TANNERY SHAVING WASTE FOR MANUFACTURING SYNTHETIC LEATHER Naimah Putri; Ratri Retno Utami
Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit Vol. 23 No. 1 (2024): 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/ncra6272

Abstract

Reusing leather waste is a global challenge in leather processing industry. Utilizing shaving leather waste using cost-effective mechanical methods can be used. Shaving waste is used as a filler for Polyvinyl Chloride (PVC) based synthetic leather. The amount of shaving waste used was varied, f1: 8%, s2: 15%, and f3: 20%. This research was conducted to determine the characteristic of synthetic leather derived from shaving leather waste including organoleptic and mechanical properties. The research method was carried in three stages, first was preparation, second was formulation, and third was testing. Testing is carried out based on the Indonesian National Standard (SNI) 1294;2009. The organoleptic results showed that there were no bubbles, cracks, wrinkles, and stains. The tensile strength values at f1, f2, and f3 were 10,433, 6,614, and 5,557N/mm2. The longitudinal tear strength values f4, f8, dan f12 were 25,972, 42,285, and 58,807N while the transverse tear strength values were 20,197N for f4, 38,009N for f8, and 54,288N for f12. The elongation test results for f4, f8, dan f12 were 54,862, 44,588, and 42,523% respectively. The addition of shaving waste of 8%, 15%, and 20% provides synthetic leather conditions that meet organoleptic and elongation standard. Meanwhile, the tensile strength and tear strength does not meet SNI because there was influence from composition/formulation on of other additives.
Co-Authors Abdullah, Sofwan Siddiq Adetya, Nais Pinta Agung Adi Candra Alifia Revan Prananda Ari Wibowo Asfan, Muhammad Atiqa Rahmawati Cintia Agustin Patria Desi Maria Sinaga Diana Ross Arief Dwi Desmiyeni Putri Dwi Wulandari Eka Legya Eka Legya Frannita Fadhila Nurul Karima Fauzi Ashari Fauzi Ashari Heru Budi Susanto, Heru Budi Intan Kamilia Habsari Jonathan, Sebastian Kadek Rizky Juliawan Karni, Ine Latifah Listyalina Latifah Listyalina Listyalina, Latifah Lubis, Dina Mariana Uli Mochammad Charis Hidayahtullah Mochammad Charis Hidayahtullah Mochammad Charis Hidayatullah Nurul Azizah Usman Nurwantoro Otto Sahat Martua Silaen Rahmawati, Atiqa Ratri Retno Utami Ratri Retno Utami Ratri Retno Utami Rio Mubarohadi Robbika, Fadzkurisma Rofiatun Nafiah Sugiyanto Sugiyanto Tarigan, Deo Steven Barney Uma Fadzilia Arifin, Uma Fadzilia Vindo Rossy Pertiwi Wahyu Ratnaningsih Wahyu Ratnaningsih Wibowo, Raden Lukas Martindro Satrio Ari Yuafni Yuafni