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Andri Putra Kesmawan
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Perumahan Sidorejo, Jl. Sidorejo Gg. Sadewa No.D3, Sonopakis Kidul, Ngestiharjo, Kapanewon, Kasihan, Kabupaten Bantul, Daerah Istimewa Yogyakarta 55184
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INDONESIA
Indonesian Journal of Applied Technology
Published by Indonesian Journal Publisher
ISSN : -     EISSN : 30320224     DOI : https://doi.org/10.47134/ijat
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Indonesian Journal of Applied Technology is officially registered in the National Research and Innovation Agency, Directorate of Multimedia Repository and Scientific Publishing. This journal is published four times a year (January, April, July and October) by Indonesian Journal Publisher. IJAT a scientific journal, double-blind peer-reviewed and open-access journal. IJAT is an academic journal organized which focus and scope: Information and Communication Technology (ICT), Engineering and Manufacturing Technology, Biotechnology and Bioengineering, Energy and Environmental Technology, Health Technology and Biomedical Engineering, Agricultural and Food Technology, Renewable and Clean Energy, Educational Technology.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 55 Documents
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Teknik Fermentasi Buah Berbasis Fruit Classic Enzyme Untuk Mengatasi Masa Simpan Buah Melalui Minuman Organik Ulfah, Maria; Ihtiar, Ade; Fillah, Alifia; Sari, Gita; Faizsyahrani, Lilla
Indonesian Journal of Applied Technology Vol. 2 No. 4 (2025): October
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v2i4.5066

Abstract

The short shelf life of fruits often leads to quick spoilage, making them unsuitable for further use. Fruit Classic Enzyme offers an alternative to extend fruit shelf life through the principles of functional food biotechnology. This study aims to identify the techniques of Fruit Classic Enzyme in prolonging fruit freshness through organic fermented beverages and to explore its potential as an entrepreneurial product. The research employed a qualitative descriptive method, describing the quality and characteristics of the Fruit Classic Enzyme product. The results revealed the production process, laboratory analysis, and various derivative products, including Fruit Classic Enzyme Pure, Ready to Drink, Anti-Inflammatory, and Jelly variants. In conclusion, Fruit Classic Enzyme serves as an effective innovation to extend fruit shelf life using functional food biotechnology fermentation, resulting in diverse organic beverage products.
Penerapan Metode Transfer Learning untuk Klasifikasi Penyakit Tanaman Kembang Kol dengan Arsitektur Inception V3 Marsevin, Randy; Aviani, Tri Hasanah Bimastari; Martadinata, A. Taqwa; Santoso, Budi
Indonesian Journal of Applied Technology Vol. 2 No. 4 (2025): October
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v2i4.5167

Abstract

Indonesia sebagai negara agraris menghadapi tantangan dalam produksi pertanian, khususnya akibat serangan hama dan penyakit yang menurunkan kualitas hasil panen kembang kol (Brassica oleracea var. botrytis L). Penelitian ini mengembangkan model klasifikasi penyakit tanaman kembang kol menggunakan metode transfer learning berbasis arsitektur Inception V3. Dataset terdiri dari empat kelas: Bacterial Spot Rot, Black Rot, Downy Mildew, dan No Disease, diperoleh dari Kaggle. Proses pengembangan mengikuti tahapan CRISP-DM, mulai dari pra-pemrosesan data, pelatihan model, hingga evaluasi. Model dilatih dengan memanfaatkan bobot awal dari ImageNet, diikuti dengan penyesuaian beberapa lapisan klasifikasi dan penggunaan teknik fine-tuning serta augmentasi data. Evaluasi performa dilakukan dengan metrik akurasi, precision, recall, dan F1-score. Hasil akhir menunjukkan akurasi validasi sebesar 93,75% dan akurasi pengujian mencapai 99%, dengan nilai precision dan recall yang seimbang (93,75%). Model terbukti efektif dalam mengklasifikasi penyakit tanaman dan memiliki potensi untuk diterapkan pada sistem deteksi otomatis berbasis citra guna mendukung pertanian presisi secara real-time.
Life Cycle Assessment Industri Pangan Indonesia: Tinjauan Naratif Priscilla Jasmine Kurniadi; Natalia Dwi Wulandari; Natania Faylinn Anggunjaya; Allegra Wijaya; Nurhayati
Indonesian Journal of Applied Technology Vol. 3 No. 1 (2026): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v3i1.5393

Abstract

This study conducted a narrative review of the application of LCA in the Indonesian food industry during the period 2020-2025. The types of products, boundary systems used, and environmental impacts in terms of global warming potential (GWP) or greenhouse emissions (GHE) were analyzed. Eleven articles were obtained from the Google Scholar database for further analysis. The results showed significant variations between products, such as tofu, tempeh, cane sugar, cocoa, and coffee, with varying emission values. The differences were due to energy sources, production scale, and analysis system boundaries (cradle-to-gate, gate-to-gate, cradle-to-grave). Industries that still use biomass or fossil fuels tend to produce higher emissions, while artisanal approaches and renewable energy sources show greater efficiency. In general, the majority of studies are still limited to the upstream production stages and do not cover the entire product life cycle. Therefore, it is necessary to expand the analysis towards cradle-to-grave and apply low-emission process innovations and circular economy principles to strengthen the transition to an environmentally sustainable food industry.
Analisis Penerapan Metode Forecasting Arima dan Sarima dalam Perencanaan Produksi pada Produk Rim Wheel di PT. Surteckariya Indonesia Silaen, Faisal; Apsari, Ayudyah
Indonesian Journal of Applied Technology Vol. 3 No. 1 (2026): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v3i1.5478

Abstract

This study aims to analyze the application of the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) methods for forecasting rim wheel production demand that can be used at PT Surteckariya Indonesia. The ARIMA and SARIMA methods are forecasting techniques that utilize time series data. Forecasting was conducted using rim wheel shipment data over 21 months from January 2023 to September 2024. This data was used to forecast the next 12 periods, namely October 2024 to September 2025. This research compares the best forecasting method between the two approaches to ensure accurate results for predicting production demand at PT Surteckariya Indonesia. The results of this study using the ARIMA method yielded the best model ARIMA(1,0,0), while for the SARIMA method, the best model was (1,0,0)(1,0,0)12. A comparison of the ARIMA and SARIMA forecasting methods showed a smaller MAPE value for ARIMA, at 0.869. This aligns with the normality test, where ARIMA meets the criteria while SARIMA does not. Therefore, the ARIMA method is more suitable for forecasting rim wheel shipment data at PT Surteckariya Indonesia.
Inovasi Ramah Lingkungan: Studi Literatur Robot Daisy Apple Inc. dalam Mendukung Daur Ulang Elektronik Berkelanjutan Ni Wayan Deasi Sastra Astiti; Rahma Sari; Sylvia Emily Binbyak Manpioper; Ulfia Rahma; Nurhayati
Indonesian Journal of Applied Technology Vol. 3 No. 1 (2026): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v3i1.5546

Abstract

This study aims to analyze the role of the Daisy robot developed by Apple Inc. in supporting sustainable electronic waste (e-waste) recycling through a circular economy approach. A literature review methodology was employed by examining academic publications, corporate sustainability reports (2018–2024), patent documents, and global policy reports related to e-waste. The analysis was conducted thematically, covering technical design, environmental innovation, environmental impact, and implementation challenges. The findings indicate that Daisy is capable of disassembling iPhones with high precision while recovering valuable materials such as cobalt, gold, tungsten, and rare earth elements for reintegration into the supply chain. This technology contributes to increased utilization of recycled materials and supports the company’s efforts to reduce greenhouse gas emissions. However, Daisy faces several limitations, including its exclusive focus on iPhone products, substantial investment requirements, and incomplete integration with Design for Disassembly (DfD) principles. Furthermore, concerns have been raised regarding potential greenwashing and the limited global impact of the initiative. Overall, Daisy represents a significant advancement in automated e-waste recycling. Nevertheless, broader integration of sustainable product design and cross-sector collaboration is necessary to achieve scalable and systemic solutions.

Page 6 of 6 | Total Record : 55

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