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All Journal International Journal of Electrical and Computer Engineering HAYATI Journal of Biosciences MEDIA PETERNAKAN - Journal of Animal Science and Technology Jurnal Ilmu Pertanian Indonesia ACTA VETERINARIA INDONESIANA Jurnal Pengolahan Hasil Perikanan Indonesia Jurnal Primatologi Indonesia Media Veteriner Buletin Peternakan Jurnal Veteriner JURNAL GIZI INDONESIA Jurnal Ilmiah Aplikasi Isotop Radiasi Majalah Kedokteran Bandung BIOTROPIA - The Southeast Asian Journal of Tropical Biology Jurnal Keteknikan Pertanian Jurnal Simetris Jurnal Sain Peternakan Indonesia Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Ilmu Ternak Veteriner Jurnal Peternakan Indonesia AGRIVITA, Journal of Agricultural Science Jurnal Edukasi dan Penelitian Informatika (JEPIN) JITRO (Jurnal Ilmiah dan Teknologi Peternakan Tropis) agriTECH IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) JURNAL BIOLOGI INDONESIA Jurnal Ilmu Nutrisi dan Teknologi Pakan Jurnal Perikanan Universitas Gadjah Mada Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Riset Akuakultur Jurnal Ilmu Peternakan Terapan Computer Science and Information Technologies ZOOTEC Livestock and Animal Research Makara Journal of Science Jurnal Kedokteran Hewan Jurnal Agripet
DEWI APRI ASTUTI
Departemen Ilmu Nutrisi Dan Teknologi Pakan, Fakultas Peternakan, Institut Pertanian Bogor, Jln Agathis, Kampus IPB, Dramaga, Bogor, Jawa Barat, Indonesia 16680
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Medicine & Pharmacology Veterinary Other

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Journal : Jurnal Simetris

 1 
Effects of Semi-Automated Preprocessing in The Beef Freshness Prediction based on Near Infrared Spectroscopy Raafi'udin, Ridwan; Purwanto, Yohanes Aris; Sitanggang, Imas Sukaesih; Astuti, Dewi Apri
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 16 No. 2 (2025): JURNAL SIMETRIS VOLUME 16 NO 2 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v16i2.15142

Abstract

This study investigates the application of near-infrared spectroscopy (NIR) within the wavelength range of 1350–2550 nm to predict key quality parameters of beef, specifically focusing on tenderloin cuts. The quality indicators assessed include drip loss, color, pH, moisture content, storage duration, and total plate count (TPC) as a measure of microbial load. Predictive modeling was conducted using three machine learning algorithms: Partial Least Squares (PLS), Support Vector Regression (SVR), and Random Forest Regressor (RFR). To enhance model accuracy, a semi-automated preprocessing pipeline was employed utilizing the Nippy library. This library integrates several spectral preprocessing techniques including Savitzky-Golay filtering, Standard Normal Variate (SNV), Robust Normal Variate (RNV), Local Standard Normal Variate (LSNV), as well as clipping, resampling, baseline correction, and smoothing.  Among the models developed using raw spectral data, the RFR model exhibited the highest performance, achieving coefficient of determination (R²) values of 0.82 for drip loss, 0.65 for color, 0.67 for pH, 0.61 for moisture content, 0.81 for storage duration, and 0.76 for TPC. Post preprocessing, the predictive accuracy improved significantly with R² values increasing to 0.89, 0.82, 0.87, 0.85, 0.91, and 0.90 respectively for the same parameters. These findings underscore the potential of combining advanced machine learning techniques with robust preprocessing methods to enhance the non-destructive, rapid assessment of beef quality parameters. This approach offers a promising tool for quality control in the meat processing industry, facilitating more efficient and accurate monitoring of product standards.
Model Klasifikasi Lahan Hijaun Pakan Ternak Ruminansia Dengan Algoritma Random Forest Pada Kabupaten Lumajang Marlina, Dwi; Sitanggang, Imas Sukaesih; Annisa, Annisa; Astuti, Dewi Apri
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 16 No. 2 (2025): JURNAL SIMETRIS VOLUME 16 NO 2 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v16i2.15967

Abstract

Informasi mengenai ketersediaan lahan hijauan pakan ternak ruminansia pada tutupan lahan memerlukan data spasial yang akurat, salah satunya dapat diperoleh melalui teknologi penginderaan jauh. Citra satelit Landsat 8 mampu menyediakan informasi mengenai tutupan lahan, termasuk lahan hijauan, badan air, pemukiman, industri, dan jalan. Citra satelit tidak hanya menginformasikan lahan hijauan saja tetapi dapat menginformasikan tutupan lahan seperti badan air, pemukinan, industri, dan jalan. Oleh karena itu, diperlukan proses klasifikasi tutupan lahan untuk mengindentifikasi area yang berfungsi sebagai sumber hijauan pakan ternak ruminansia. Identifikasi ini penting untuk mengetahui ketersediaan pakan, yang selanjutnya dapat digunakan sebagai dasar dalam memprediksi biomassa vegetasi. Penelitian ini bertujuan untuk mengklasifikasi tutupan lahan hijauan yang berperan sebagai pakan ternak ruminansia. Metode yang digunakan adalah algoritma random forest dengan memanfaatkan citra satelit Landsat 8 untuk wilayah , Kabupaten Lumajang pada periode tahun 2018 hingga 2022. Hasil klasifikasi menghasilkan tiga kelas utama lahan hijaua, yaitu perkebunan, pertanian/sawah, dan semak belukar. Model klasifikasi yang dibangun mencapai tingkat akurasi sebesai 93%. Berdasarkan hasil analisis, rat-rata lahan hijauan di Kabupaten Lumajang terdiri atas lahan perkebunan sebuas 23.865,78 ha, pertanian/sawah seluas 18.363,21 ha, dan semak belukar seluas 949,98 ha. Hasil penelitian menunjukkan bahwa lahan hijauan di Kabupaten Lumajang didominasi oleh perkebunan, sehingga daerah ini memiliki potensi yang baik untuk pengembangan hijauan sebagai pakan ternak ruminansia. Ketersediaan lahan yang luas diharapkan dapat mendukung usaha peternakan dan pengelolaan sumber daya pakan di wilayah tersebut.
Neural Network Innovation for Analyzing Physiological Changes in Cattle Within Modern Transportation Systems Dhika, Harry; Buono, Agus; Neyman, Shelvie Nidya; Astuti, Dewi Apri
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 16 No. 2 (2025): JURNAL SIMETRIS VOLUME 16 NO 2 TAHUN 2025
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v16i2.16007

Abstract

The distribution of cattle before Eid al-Adha often leads to transport-induced stress, negatively affecting livestock performance and economic value. This study aims to develop a predictive model of post-transport cattle performance using Artificial Neural Networks (ANN). The dataset includes physiological parameters (rectal temperature, heart rate, and respiration) and blood metabolites (glucose and creatinine) collected before and after transportation. Data augmentation and feature selection were applied using Pearson correlation to address class imbalance. The ANN model was tuned with regularisation and dropout techniques to prevent overfitting. Evaluation results show that the model achieved 91% accuracy, with F1-scores of 0.90 (Increase), 0.97 (Stable), and 0.87 (Decrease). These findings demonstrate that ANN can capture complex patterns of physiological conditions in cattle and provide reliable predictions. This model has the potential to serve as the basis for developing an early warning system to minimize the risk of performance decline in cattle due to transport stress more adaptively and efficiently.
Co-Authors - Hernawati . Sumiati A Setiyono Achmad - Taher ACHMAD FARAJALLAH Achmad Taher Achmad Taher Achmad, Taher Agik Suprayogi Agita Rakhmawati Agus Buono Ainia Herminiati Akeme Cyril Njume Alma Agnia Alusyanti Primawati Anar, Muhammad Agung Firdhawansyah Andi Tarigan Andri Cahya Irawan Andri Cahya Irawan Anja Meryandini Anneke Anggraeni Anneke Anggraeni Annisa Annisa Annisa Annisa Anuraga Jayanegara Aris Purwanto Arismayanti Eka Armaji, Yone Asep Gunawan Asep Sudarman Aulia Evi Susanti Aulia Nurul Saputri Budi Setiawan Cece Sumantri Chairrusyuhur Arman Chusnul Choliq D Diapari D M Suci Daeli, Fanny Rahmasari Daulay, Kausar Didid Diapari Djokowoerjo Sastradipradja Dondin Sajuthi dortiana sijung, maria Dwierra Evvyernie DYAH PERWITASARI -FARAJALLAH Ekowati Handharyani Elizabeth Wina Elizabeth Wina Elmy mariana Elmy Mariana Elok Budi Retnani Endah Yuniarti Entang Iskandar Erika B. Laconi Evy Damayanthi f, Dilla Mareistia Fahmi, Melta Rini Fery Dwi Riptianingsih Firdus . Firkani, Rahmatiana Widi Fitriana, Eko Lela Hairani, Atikah Hanny Hafiar Harlystiarini Harlystiarini Harnowo Permadi Harry Dhika, Harry Heri Ahmad Sukria Hernawati Hernawati I Gusti Bagus Wiksuana I Komang Gede Wiryawan I NENGAH BUDIARSA I wayan Teguh Wibawan Ida Wiryanti Imas Sukaesih Sitanggang Irawan Sugoro Irawan Sugoro Irawan Sugoro Irma Herawati Suparto Jakaria Jakaria Janah, Fatiah Finanur Jean-Baptise Menassol K Komalasari Kevin Alexander, Kevin Klaus Becker Kokom Komalasari Komang G. Wiryawan Kurnia Bagus Ariyanto L Khotijah Lilis Khotijah Linar Zalinar Udin Lucia Cyrilla Eko Nugrohowati Luki Abdullah Mareistia Fassah, Dilla Marlina, Dwi Mohamad Yamin Mohamad Yamin Mohamad Yamin Mohammad Yamin Muhammad Agung Firdhawansyah Anar MUHAMMAD RIZAL Muladno - nabawi, Soviro Nurul Lisa Nahid Ritcher Nahrowi Nahrowi Nanda Nadhifa Nuraini Nanis Nurhidayah Natsir Sandiah NE Maharani Nella Nurhazizah Novita Anggraeni Nur Bambang Priyo Utomo Nurina Rahmawati Pamungkas, Joko Panca Dewi Manu Hara Karti PASETHA, ANDRE Pijoh, Deyv Pipih Suptijah Pursani paridjo Putri Sri Rahayu Qomariah, Indira Nurul R. Iis Arifiantini Rangkuti, Farhan Ananda Rangkuti, Farhan Ananda Rangkuti Razak Achmad Hamzah Retno Wulansari Ria Oktarina Ridwan Raafi'udin Ridwan, Habibi Rima Shidqiyya Hidayati Martin Rimbawan , Rini Herlina Mulyono Riptianingsih, Fery Dwi Rita Mutia Rizki Palupi Ronnie Permana Ronny Rachman Noor Rudy Priyanto Shelvie Nidya Neyman Sitanggang, Imas S. Siti Aslimah Siti Zubaidah Slamet Widodo Slamet Widodo sri murtini . Sri Rahayu SRI RAHAYU Sri Rahmatul Laila Sri Supraptini Mansjoer Suharti, Sri Sukarman Sukarman SULISTIYANI SULISTIYANI Sulistiyani Sulistiyani SULISTIYANI SULISTIYANI Sulistiyani, Sulistiyani Sumiati . Sumiati . Sumiati . . Sumiati Sumiati SYAHRIAL SYAHRIAL Syamsul Arifin Taher, Achmad Taniasari, Mila TARUNI SRI PRAWAST MIEN KAOMINI ANY ARYANI DEDY DURYADI SOLIHIN Teguh Wahyono Tiurma Pasaribu Triansyah, Irvan Walberto Sinaga Wasmen Manalu Waterman, James O. Widya Hermana Wirdateti . Yuli Retnani