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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 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 Journal of Multidisciplinary Applied Natural Science 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 Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Veterinary Other

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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.
PREGNANT AND LACTATING Macaca nigra: BEHAVIOR AND FOOD SELECTION Perwitasari-Farajallah, Dyah; Arismayanti, Eka; Qomariah, Indira Nurul; Pasetha, Andre; Astuti, Dewi Apri; Waterman, James O.
BIOTROPIA Vol. 29 No. 2 (2022): BIOTROPIA Vol. 29 No. 2 Agustus 2022
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.2022.29.2.1687

Abstract

Pregnancy and lactation are reproductive phases that require large amounts of energy. Females in the reproductive period need good quality and quantity of food to provide nutrition for the fetus, milk production and child care. The mother will adapt to changes in behavior patterns and food type to meet these needs. The influence of parity and environmental conditions can affect the behavior patterns of females. During pregnancy, the Macaca nigra is known to have different proportion of activities in each period, while the behavior during the lactation phase in each mester is unknown. Therefore, this study aimed to analyze the behavior patterns in each mester and the food selection of Macaca nigra during the pregnancy and lactation phases, as well as the influence of female parity and environmental toward the behavior patterns. There were 39 females Macaca nigra observed from two groups from August 2018 to July 2019. An instantaneous focal sampling method was performed to observe females’ daily activities, continuous focal sampling to monitor food types and a selectivity index to analyze food type preferences. The results showed that the female Macaca nigra pattern was influenced by the reproductive phase, female parity and environmental conditions. Females at the end of the pregnancy and lactation phases had a high proportion of feeding and eat more arthropods. Primiparous females mostly performed resting activities. Food preference was influenced by reproductive factors and food availability. The choice of fruit could be affected by fruit availability, and their favorite food was D. mangiferum and Euginia sp.  
The Forging of Dispersed Nano-Emulsion for Potential Feed Additive from Black Soldier Fly Essential Oil by Ultrasonication and Its Biological Efficacy Sholeha, Novia Amalia; Sujarnoko, Tekad Urip Pambudi; Khotijah, Lilis; Astuti, Dewi Apri; Baihaqi, Muhamad; Komalasari, Kokom
Journal of Multidisciplinary Applied Natural Science Articles in Press
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.358

Abstract

Encapsulation technology was developed to address the issues of limited bioavailability and instability associated with black soldier fly oil (BSFO). This research synthesized a nano-emulsion of BSFO utilizing the ultrasonication method, while varying the sources of antioxidants (black seed oil (BSO) and curcumin) and emulsifiers (polyethylene glycol (PEG), whey protein isolate, and Tween 80). The FTIR analysis revealed that the nanoemulsion samples displayed peaks at 3500–3000 cm-1 (O–H stretching), 2900–2700 cm-1 (N–H stretching), and 1700–1500 cm-1 (C=O stretching), suggesting the presence of BSFO, curcumin, BSO, and the characteristics of the emulsifiers. Particle size analysis (PSA) indicated that the emulsion had an average particle size (Z-average) of approximately 229–686 nm. The nan’oemulsion containing PEG showed reduced particle sizes of 218 and 229 nm compared to those with other emulsifiers, attributable to the inherently smaller size of PEG. The HB (BSO with PEG emulsifier) showed a reduced particle size due to the smaller molecular size of the antioxidant BSO compared to curcumin. The polydispersity index (PI) values for HB and CB (curcumin with PEG emulsifier) were 0.3 and 0.2, respectively, indicating relatively homogeneous particles, consistent with the criterion of a PI value below 0.4. Biological assays showed that CB had the highest DPPH inhibition at 83%, while curcumin exhibited 90%, exceeding that of BSO. The inhibition zones of HB are 2.45 cm for Staphylococcus aureus and 2.70 cm for Escherichia coli, representing the highest levels of inhibition. In this study, PEG is the best emulsifier for achieving a smaller nanoemulsion particle size. PEG facilitates the incorporation of BSFO with antioxidants, enhancing stability, efficacy, and bioavailability in various applications, particularly in the medical and food sectors.
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 Baihaqi, Muhamad 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 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 Sholeha, Novia Amalia 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 Tekad Urip Pambudi Sujarnoko Tiurma Pasaribu Triansyah, Irvan Walberto Sinaga Wasmen Manalu Waterman, James O. Widya Hermana Wirdateti . Yuli Retnani