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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 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 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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THE EFFECTS OF EXERCISE MODELS ON HEMATOLOGICAL PROFILE AND MEET PHYSICAL QUALITY IN GARUT SHEEP Ronnie Permana; Mohamad Yamin; Rudy Priyanto; Asep Gunawan; Dewi Apri Astuti
Jurnal Kedokteran Hewan Vol 14, No 4 (2020): December
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (242.109 KB) | DOI: 10.21157/j.ked.hewan.v14i4.16035

Abstract

The objective of this study was to evaluate the effect of exercise levels on the hematological and metabolical status, and carcass quality of Garut sheep. In total 24 of Garut sheep used in this study. The levels of exercise contain three treatments namely non exercise, semi exercise  and exercise. Blood collection through the jugular vein of sheep samples was carried out at the end of the study, using a 5 mL EDTA tube to measure the haematological condition of the animal sample. Likewise, collecting muscle samples to determine the physical quality of meat.The data was analyzed by analysis of variance and continued by Duncan test for a post hoc test. The results showed that the models of exercise were not significantly (P0.05) affected to hematological level and also carccas quality including juiceness, tenderness, drip loss and water holding capacity. Organoleptic sensory  using semiexercise was more favourable meat  compare to exercise and non exercise. While for the colour of meat, non exercise treatment was significantly (P0.05) affected to the colour of meat compare to exercise and semi exercise. Furthermore the semi exercise  was the best treatment to produce fresh taste meat with good sensory characteristic.
GENETIC VARIATION OF cDNA OF LDLR GENE IN HYPORESPONDER CYNOMOLGUS MACAQUES (Macaca fascicularis) Achmad Taher; Dedy Duryadi Solihin; Sulistiyani Sulistiyani; Dondin Sajuthi; Dewi Apri Astuti
Jurnal Kedokteran Hewan Vol 11, No 3 (2017): September
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.083 KB) | DOI: 10.21157/j.ked.hewan.v11i3.2939

Abstract

The study aimed to identify genetic variation of cDNA sequence from low density lipoprotein receptor (LDLR) gene of hyporesponder cynomolgus macaques. The animal used in this study was one hyporesponder cynomolgus macaque obtained from selection result in Primate Research Center-Bogor Institute of Agriculture (PSSP IPB). Amplification of cDNA from LDLR gene was performed using polymerase chain reaction (PCR) method with 4 pairs of walking primer. Alignment of amplification result sequence from 4 pairs of walking primer generated target sequence of 2353 bp which located on position 188-2540. Analysis of target sequence alignment on reference sequence in GenBank found 8 single nucleotide polymorphism (SNP), namely c408CT; c.1200CT; c.1497CT; c.1644TC; 1791TC; 1804AG; 2088CT; and 2377GA. Of 8 SNPs, c.1804AG and 2377GA. Two SNP (c.1804AG; dan 2377GA) caused changing of amino acids composition namely p.K602E (lysine → glutamate) and p.V793I (valine → isoleucine). This result proved the potential use of genetic variation of cDNA sequence from LDLR gene as genetic marker for selection of hyporesponder cynomolgus macaques.
Blood metabolites profile and Growth Hormone mRNA expression of Peranakan Ongole cattle fed with finishing ration containing Vinasse-molasses Dilla Mareistia Fassah; Nanda Nadhifa Nuraini; Lilis Khotijah; Kokom Komalasari; Sri Suharti; Dewi Apri Astuti; I Komang Gede Wiryawan; Asep Sudarman; Didid Diapari
Livestock and Animal Research Vol 21, No 2 (2023): Livestock and Animal Research
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/lar.v21i2.71312

Abstract

Objective: This study aimed to investigate effects of Molasses replacement with Vinasse-molasses in ration on the blood metabolite profiles and mRNA expression of Growth Hormone 1 (GH1) of finishing Peranakan Ongole (PO) Cattle.Methods: Ten male PO cattle in averaged 209 ± 21 kg of body weight were equally allocated to receive either molasses or Vinasse-molasses dietary treatments. The concentrate diet was contained of either 15% of molasses (control) or Vinasse-molasses. This study observed the nutrient intake, percentage of weight gain, blood metabolite profiles and GH1 mRNA expression of PO cattle.Results: The result showed that replacing molasses with vinasse-molasses reduced (P<0.05) dry matter intake (DMI) and intakes of crude protein (CP), ether extract (EE), crude fiber (CF), and total digestible nutrient (TDN). Nevertheless, Vinasse-molasses inclusion did not change (P>0.05) percentage of weight gain. Vinasse-molasses increased (P<0.05) the blood urea nitrogen level, while it did not affect (P>0.05) the GH1 mRNA levels.Conclusions: It can be concluded that replacing molasses with vinasse-molasses does not change blood metabolite profile, GH1 mRNA expression and performance of PO cattle.  Vinasse-molasses could be applied as energy sources ingredient to replace molasses in finishing cattle feed.
Rapid Assessment of Fresh Beef Spoilage Using Portable Near-Infrared Spectroscopy Akeme Cyril Njume; Y. Aris Purwanto; Dewi Apri Astuti; Slamet Widodo
Jurnal Keteknikan Pertanian Vol. 9 No. 3 (2021): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.09.3.79-86

Abstract

The objective of this study was to develop a prediction model to assess fresh beef spoilage directly with the use of a portable near-infrared spectroscopy (NIRS), without conducting a chemical method. Three fresh beef samples were bought from a slaughterhouse and traditional market on separate days. Spectra were acquired using a portable Scio spectrometer with wavelength 740-1070 nm, and two-third was used for calibration sets and one-third for validation sets. Partial least square regression and cross-validation were used to develop a model and equation for predicting beef spoilage. The changes observed were changed in color, water loss, and muscle hardness. The best predictive model was obtained from the original spectra (no pre-process) results as follows (R2C = 0.9, Rp = 0.86, SEC = 0.61, SEP = 0.69 and RPD = 3.53). Multiple Scattered Correlation (MSC) pre-processing method gave a good and acceptable model with results as follows; Rc = 0.89, SEC = 0.66, SEP = 0.83 and RPD = 2.91. NIRS showed variability of the samples and rate of spoilage, hence, can be used to assess quality and safety. Further studies are needed to develop a robust model to predict fresh beef spoilage using a portable NIRS Scio.
THE EFFECTS OF EXERCISE MODELS ON HEMATOLOGICAL PROFILE AND MEET PHYSICAL QUALITY IN GARUT SHEEP Ronnie Permana; Mohamad Yamin; Rudy Priyanto; Asep Gunawan; Dewi Apri Astuti
Jurnal Kedokteran Hewan Vol 14, No 4 (2020): December
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21157/j.ked.hewan.v14i4.16035

Abstract

The objective of this study was to evaluate the effect of exercise levels on the hematological and metabolical status, and carcass quality of Garut sheep. In total 24 of Garut sheep used in this study. The levels of exercise contain three treatments namely non exercise, semi exercise  and exercise. Blood collection through the jugular vein of sheep samples was carried out at the end of the study, using a 5 mL EDTA tube to measure the haematological condition of the animal sample. Likewise, collecting muscle samples to determine the physical quality of meat.The data was analyzed by analysis of variance and continued by Duncan test for a post hoc test. The results showed that the models of exercise were not significantly (P0.05) affected to hematological level and also carccas quality including juiceness, tenderness, drip loss and water holding capacity. Organoleptic sensory  using semiexercise was more favourable meat  compare to exercise and non exercise. While for the colour of meat, non exercise treatment was significantly (P0.05) affected to the colour of meat compare to exercise and semi exercise. Furthermore the semi exercise  was the best treatment to produce fresh taste meat with good sensory characteristic.
GENETIC VARIATION OF cDNA OF LDLR GENE IN HYPORESPONDER CYNOMOLGUS MACAQUES (Macaca fascicularis) Achmad Taher; Dedy Duryadi Solihin; Sulistiyani Sulistiyani; Dondin Sajuthi; Dewi Apri Astuti
Jurnal Kedokteran Hewan Vol 11, No 3 (2017): September
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21157/j.ked.hewan.v11i3.2939

Abstract

The study aimed to identify genetic variation of cDNA sequence from low density lipoprotein receptor (LDLR) gene of hyporesponder cynomolgus macaques. The animal used in this study was one hyporesponder cynomolgus macaque obtained from selection result in Primate Research Center-Bogor Institute of Agriculture (PSSP IPB). Amplification of cDNA from LDLR gene was performed using polymerase chain reaction (PCR) method with 4 pairs of walking primer. Alignment of amplification result sequence from 4 pairs of walking primer generated target sequence of 2353 bp which located on position 188-2540. Analysis of target sequence alignment on reference sequence in GenBank found 8 single nucleotide polymorphism (SNP), namely c408CT; c.1200CT; c.1497CT; c.1644TC; 1791TC; 1804AG; 2088CT; and 2377GA. Of 8 SNPs, c.1804AG and 2377GA. Two SNP (c.1804AG; dan 2377GA) caused changing of amino acids composition namely p.K602E (lysine → glutamate) and p.V793I (valine → isoleucine). This result proved the potential use of genetic variation of cDNA sequence from LDLR gene as genetic marker for selection of hyporesponder cynomolgus macaques.
Perbandingan Kinerja LSTM dan Prophet untuk Prediksi Deret Waktu (Studi Kasus Produksi Susu Sapi Harian) Alusyanti Primawati; Imas Sukaesih Sitanggang; Annisa Annisa; Dewi Apri Astuti
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 3 (2023): Volume 9 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i3.72031

Abstract

Prediksi deret waktu dibutuhkan untuk menjawab pertanyaan bisnis dimasa depan  yang akurat sehingga perlunya membangun model prediksi yang memiliki kinerja bagus. Pendekatan machine learning seperti long short term memory (LSTM) dan Prophet menjadi popular saat ini untuk pemodelan prediksi deret waktu. Agribisnis susu segar saat ini salah satu studi kasus yang memerlukan peranan teknologi informasi seperti bisnis intelijen untuk memastikan ketersediaan pasokan susu dimasa depan. Upaya pertama yang perlu dilakukan adalah menyiapkan model prediksi yang tepat meskipun data awal yang dikumpulkan masih sedikit atau terbatas. Dataset produksi susu sapi selama 300 hari menjadi data penelitian yang dimodelkan kedalam LSTM dan Prophet. Keduanya dibandingkan kinerjanya terhadapa data terbatas. Hasilnya uji koefisien determinasi R2 keduanya yaitu 0.2, sehingga perlu dilakukan peningkatan kinerja melalui tahapan revise and enhance. Hasilnya, kedua model meningkat nilai R2 menjadi 0.3 dan LSTM lebih baik dari Prophet. Meskipun demikian perbedaan keduanya tidak terlalu signifikan dan peningkatan juga tidak berbeda terlalu jauh karena data susu memiliki pola multi-periode dengan tren berbeda signifikan. Periode 90 hari pertama adalah masa klimaks laktasi sedangkan periode kedua setelah 90 hari adalah masa intervensi peternak menurunkan hasil perah untuk persiapakan ternak kambing perah ke masa kawin dan bunting.
Detection of Formalin Content in Chicken Meat Using Portable Near Infrared Spectrometer Agita Rakhmawati; Yohanes Aris Purwanto; Slamet Widodo; Dewi Apri Astuti
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 4 (2023): December 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i4.831-839

Abstract

Food safety is essential for consumers. One of the compound that are prohibited from being used to preserve chicken meat is formalin. It demands a fast classification and sorting process for chicken meat, whether it is processed further or not. The main objective of this research is to develop a model that can predict the formalin content of chicken meat at room temperature using a portable NIR spectrometer. The NIRS method utilizes electromagnetic waves in infrared radiation with wavelengths ranging from 740-1070 nm. The method used to process the data is partial least square discriminative analysis (PLS-DA) to determine the presence of formalin in chicken meat. The results showed that the best pre-treatment was using the 1st derivative which had calibration results with an accuracy value of 92.86%, sensitivity 94.05%, specificity 91.67%, and FPR 8.33%. While the validation results obtained an accuracy value of 92.86%, sensitivity 92.86%, specificity 92.86%, and FPR 7.14%. Keywords: Chicken meat, formalin, NIRS, non-destructive method, PLS-DA.
Korelasi Tingkah Laku Makan dengan Performa Kambing Marica Jantan yang Diberi Pakan Berbeda Muhammad Agung Firdhawansyah Anar; Dewi Apri Astuti; Sri Rahayu
Jurnal Peternakan Indonesia (Indonesian Journal of Animal Science) Vol 25, No 3 (2023): Jurnal Peternakan Indonesia
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jpi.25.3.278-289.2023

Abstract

Kambing Marica adalah plasma nutfah endemik di Indonesia yang mempunyai kemampuan daya adaptasi yang cukup baik. Penelitian ini bertujuan untuk mengkaji tingkah laku makan dari kambing Marica yang diberi pakan berbeda serta korelasinya terhadap pertambahan bobot badan harian dan tingkat konsumsi. Penelitian ini menggunakan delapan ekor kambing Marica jantan yang dipelihara pada kandang individu selama delapan minggu. Perlakuan pakan yang diberikan adalah pakan komplit berupa konsentrat dan pakan hijauan (Indigofera sp. dan Pennisetum purpureum). Hasil uji korelasi Pearson menunjukkan bahwa terdapat hubungan signifikan (P<0,05) antara tingkah laku deglutisi terhadap PBBH kambing Marica yang diberi pakan komplit dengan nilai korelasi Pearson yaitu 0,979. Semakin tinggi frekuensi deglutisi yang terjadi maka pertambahan bobot badan harian dari kambing Marica yang diberi pakan komplit akan semakin meningkat. Selain itu, juga terdapat hubungan signifikan (P<0,05) antara tingkah laku deglutisi dan lama ruminasi terhadap konsumsi kambing Marica yang diberi pakan hijauan dengan nilai korelasi Pearson masing-masing yaitu 0,953 dan 0,970, serta periode ruminasi terhadap konsumsi kambing Marica yang diberi pakan komplit dengan nilai korelasi Pearson -0,970. Semakin tinggi frekuensi deglutisi dan waktu yang dibutuhkan kambing Marica dalam proses ruminasi maka tingkat konsumsi pakan akan semakin meningkat.
Real-time business intelligence development using machine learning to increase the potential of the dairy goat milk business Primawati, Alusyanti; Sitanggang, Imas Sukaesih; Annisa, Annisa; Astuti, Dewi Apri
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp5612-5625

Abstract

The development of big data and real-time data warehouse (RTDW) technologies has transformed traditional business intelligence (BI) into real-time business intelligence (RTBI). The RTBI framework is developed in this study by incorporating machine learning-based real-time prediction features. The complexity of layer integration in the RTBI framework is a challenge in building RTBI. The development of RTBI was carried out in business areas that did not have RTBI from the beginning, such as the dairy goat milk business in Probolinggo, East Java. Another main reason is that the dairy goat milk business is a food alternative to cow's milk in Indonesia. The results of this study can contribute to increasing the potential value of the goat milk business. The research method was developed by adapting to the Kimball method and unified modeling language (UML). The real-time prediction feature with the long short-term memory (LSTM) algorithm is the main feature in the RTBI framework developed in the research. The calculation results of real-time predictive analysis latency successfully approached 0 milliseconds (ms), namely 9.35×10-5 ms. The application of RTBI in the dairy goat milk business was successfully built but the real data is very limited, so RTBI is less able to describe the movement of the business.
Co-Authors - Hernawati . Sumiati A Setiyono Achmad - Taher ACHMAD FARAJALLAH Achmad Taher Achmad Taher Achmad, Taher Agik Suprayogi Agita Rakhmawati Ainia Herminiati Akeme Cyril Njume Alma Agnia Alusyanti Primawati Anar, Muhammad Agung Firdhawansyah Andi Tarigan 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 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 Fanny Rahmasari Daeli Fery Dwi Riptianingsih Firdus . Firkani, Rahmatiana Widi Fitriana, Eko Lela Hairani, Atikah Hanny Hafiar Harlystiarini Harlystiarini Harnowo Permadi 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 Kausar Daulay Kevin Alexander, Kevin Klaus Becker Kokom Komalasari Komang G. Wiryawan Kurnia Bagus Ariyanto L Khotijah Lilis Khotijah Lilis Khotijah Linar Zalinar Udin Lucia Cyrilla Eko Nugrohowati Luki Abdullah Mareistia Fassah, Dilla Mila Taniasari Mohamad Yamin Mohamad Yamin Mohammad Yamin Muhammad Agung Firdhawansyah Anar 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 Sitanggang, Imas S. Siti Aslimah Siti Zubaidah Slamet Widodo Slamet Widodo sri murtini . Sri Rahayu SRI RAHAYU Sri Rahmatul Laila Sri Suharti Sri Supraptini Mansjoer Suharti, Sri Sukarman Sukarman SULISTIYANI SULISTIYANI Sulistiyani Sulistiyani SULISTIYANI SULISTIYANI Sulistiyani, Sulistiyani Sumiati . Sumiati . Sumiati . . Sumiati Sumiati SYAHRIAL SYAHRIAL Syamsul Arifin 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