Article Per Year (5 Year)
p-Index From 2021 - 2026
4.777
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering MEDIA PETERNAKAN - Journal of Animal Science and Technology Jurnal Ilmu Pertanian Indonesia Buletin Peternakan Pastura; Journal Of Tropical Forage Science Jurnal Veteriner Jurnal Ilmu Lingkungan JURNAL ILMU DAN TEKNOLOGI PETERNAKAN Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Sain Peternakan Indonesia Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Ilmu Ternak Veteriner WARTAZOA Indonesian Bulletin of Animal and Veterinary Sciences Jurnal Ternak Tropika AGRIVITA, Journal of Agricultural Science JITRO (Jurnal Ilmiah dan Teknologi Peternakan Tropis) IJFAC (Indonesian Journal of Fundamental and Applied Chemistry) Jurnal Pertanian Terpadu Animal Production : Indonesian Journal of Animal Production Buletin Ilmu Makanan Ternak Jurnal Ilmu Nutrisi dan Teknologi Pakan Jurnal Manajemen Pembangunan Daerah e-Jurnal Rekayasa dan Teknologi Budidaya Perairan Journal of Tropical Crop Science Jurnal Medik Veteriner Jurnal Ilmu Peternakan dan Veteriner Tropis (Journal of Tropical Animal and Veterinary Sciences) Jurnal Iktiologi Indonesia (Indonesian Journal of Ichthyology) Jurnal Nutrisi Ternak Tropis (JNT) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Triton Jurnal Pusat Inovasi Masyarakat AGRIEKSTENSIA Jurnal Kedokteran Hewan Scientific Journal of Informatics Jurnal Agripet
Luki Abdullah
Departemen Ilmu Nutrisi Dan Teknologi Pakan Fakultas Peternakan Institut Pertanian Bogor, Jl. Agatis Dramaga Bogor 16680.
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Social Sciences Veterinary Other

Published : 70 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 70 Documents
Search

 3   4   5   6   7 
Estimation of biomass of forage sorghum (sorghum bicolor) Cv. Samurai-2 using support vector regression Kahfi Heryandi Suradiradja; Imas Sukaesih Sitanggang; Luki Abdullah; Irman Hermadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i3.pp1786-1794

Abstract

One alternative to improve feed quality is to combine the main feed with forages which are more economical in cost but contain high protein sources, such as sorghum. Production estimation is essential because it will determine the sustainability of the feed. This study aimed to estimate the amount of sorghum production using support vector regression (SVR). Several stages of this research are collecting data, preprocessing, modelling, and evaluation. The dataset used and the input for this SVR algorithm model is field observation data. The kernels used in the SVR algorithm modelling are linear, Polynomial, and RBF. Sorghum production estimation using SVR has a performance evaluation value that refers to the root mean square error (RMSE). The result of this research is that the model obtained from the SVR algorithm can estimate sorghum production with performance evaluation values using R2, mean absolute error (MAE), mean absolute percentage error (MAPE), and RMSE. The best results on the Polynomial kernel are R2=0.7841, MAE=0.0681, MAPE=0.46641, and RMSE=0.1006. This study shows that the classification model obtained from the SVR algorithm with Kernel Polynomial is the best model for estimating sorghum production.
Evaluation of Biomass Production, Nutrient Content and Digestibility of Asystasia gangetica as an Alternative Forage under Palm Plantation Nur Rochmah Kumalasari; Herilimiansyah Herilimiansyah; Choirul Badriah; Sunardi Sunardi; Lilis Khotijah; Luki Abdullah
Jurnal Ilmu-Ilmu Peternakan Vol. 33 No. 1 (2023): April 2023
Publisher : Faculty of Animal Science, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiip.2023.033.01.01

Abstract

Integrated farming systems through inclusion of forage into the plantation area can increase forage supply for ruminants.  The aim of the research was to evaluate biomass production, nutrient, mineral content and digestibility of A. gangetica under different light intensity on palm plantation area. The research was conducted under randomized complete block design based on three different light intensity on each block.  Data were analyzed statistically with R i386 3.6.1 using Analysis of Variance Test (ANOVA), and Duncan Test was applied to determine the level of significant difference.  The research showed A. gangetica cultivation influenced the soil properties under palm plantation.  A gangetica growth well until light intensity 14.39% that indicated by average biomass production on the first harvest time reached 78.58 g/plant.  The light intensity decreases triggered an increase of A. gangetica dry matter percentage, ash content and crude protein.   The light intensity unaffected the concentration of minerals Ca, P, Mg and forage digestibility, on the other side the dry matter digestibility on the second harvest time decreased due to the soil properties influences. The research concluded that biomass production, nutrient, mineral content and digestibility of A. gangetica under palm plantation area were affected by light intensity, soil properties and harvest time
Efektivitas Kapal KM Camara Nusantara dalam Pelayanan Angkutan Ternak Laili Fithri Hidayati; Nahrowi; Luki Abdullah
Jurnal Ilmu Pertanian Indonesia Vol. 28 No. 3 (2023): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.28.3.370

Abstract

In 2021, the realization of livestock transported by KM Camara Nusantara livestock ships only reached 67.73%, with the realization of shipping at 78.74%. Based on these conditions, this study aims to measure the effectiveness of implementing livestock ships and the factors that affect them. The method used was to calculate the weight of factors considered to affect using the Analytical Hierarchy Process. Data were obtained from questionnaires, interviews, and literature reviews. Respondents were stakeholders and users of livestock transportation vessel services, which include the NTB and NTT Provincial Livestock Offices, Bima Regency Livestock Office, the Ministry of Transportation, shipping operators, and business actors. The results are priority weights on benefit criteria (0.2648), number of livestock (0.2578), regulation (0.1716), and route (0.1541). Meanwhile, priority weights on the subcriteria of the number of livestock transported (0.2224), availability (0.1064), price disparity (0.0889), mileage (0.0677), and transportation socialization (0.0667). Based on the calculation of the weight of criteria and subcriteria, the effectiveness of implementing KM Camara Nusantara livestock vessels reached 78%, which is at the level of achievement that is quite effective. In general, to improve the effectiveness of KM Camara Nusantara livestock transport ship services, factors that need to get priority are the availability of transported livestock, the achievement of benefits, and supporting regulations. The subfactors that need priority are the number of livestock transported, availability, price disparity, mileage, and transportation socialization. Keywords: AHP, Camara Nusantara, cattle ships, Sea Highway
PHYSIOLOGICAL RESPONSES OF FEMALE BEEF CATTLE AGAINST PEATLAND MICROCLIMATE STRESS IN CENTRAL KALIMANTAN Adrial Adrial; Rudy Priyanto; Salundik Salundik; Ahmad Yani; Luki Abdullah
Jurnal Kedokteran Hewan Vol 17, No 2 (2023): June
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21157/j.ked.hewan.v17i2.29115

Abstract

This study aimed to evaluate the physiological response of female beef cattle to peatland microclimate stress in Central Kalimantan. This study used direct observation on small holder beef cattle farm.  Microclimate data on 41 units cattle barns and physiological parameters of female cattle were collected in the morning, at noon and in the afternoon.  The physiological parameter measurements involved 215 female beef cattle, consisting of 119 Bali and 96 crossbred cattle with different physiological stages including pregnant cows, lactating cows, dry cows, heifers and calves. The microclimate condition within cattle barns on peatland of Central Kalimantan is not the comfort zone for beef cattle.  It is characterized by high air temperature and relative humidity, and low wind speed, which result in high temperature humidity index (THI).  The barn with gable roof type and asbestos materials gave the lowest THI.   This Microclimate caused heat stress to beef cattle reared on the peatlands, indicated by the high rectal temperature, heart rate, respiratory rate, and heat tolerance coefficient, although it was still categorized as mild to moderate stress. Bali cattle showed better physiological responses to microclimate stress than crossbred cattle.  Pregnant crossbred cows were the most susceptible to peatland microclimate stress.
Pertumbuhan dan Produksi Hijauan Pakan Jagung Manis (Zea mays saccharata) yang diberi Perlakuan Pemupukan Nitrogen dan Umur Panen yang Berbeda Bayu Nuari Ramadhan; Luki Abdullah; Muhammad ridla
JURNAL TRITON Vol 14 No 2 (2023): JURNAL TRITON
Publisher : Politeknik Pembangunan Pertanian Manokwari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47687/jt.v14i2.438

Abstract

Tanaman jagung manis (Zea mays saccharata) adalah salah satu komoditi hortikultura yang cukup banyak dibudidayakan di Indonesia. Keuntungan dari tanaman jagung manis adalah setelah buah dipanen, tanaman jagung masih hijau dan segar sehingga dapat digunakan sebagai pakan ternak. Salah satu faktor yang mempengaruhi kualitas dan kuantitas tanaman jagung manis adalah ketersediaan nitrogen. Nitrogen adalah makro hara yang sangat diperlukan dalam jumlah yang banyak oleh tanaman. Selain ketersediaan unsur hara yang harus diperhatikan, penentuan umur panen juga mempengaruhi kualitas dari tanaman jagung manis karena jika dipanen terlalu tua kualitas dari jagung manis akan menurun. Optimalisasi kedua faktor tersebut perlu diketahui agar produksi buah jagung di satu sisi tinggi, namun di sisi lain produksi dan kualitas jagung tetap tinggi. Penelitian dilaksanakan pada bulan Januari – Maret 2022 di Unit Pendidikan dan Penelitian Peternakan Jonggol (UP3J) IPB University. Rancangan penelitian yang digunakan adalah Rancangan Acak Kelompok pola faktorial 3x3 dengan 4 ulangan. Faktor pertama yaitu umur panen hari setelah tanam (HST) terdiri dari 60, 70, dan 80. Faktor kedua adalah dosis pupuk urea yang terdiri dari 100, 200, dan 300 kg/ha. Parameter yang diamati adalah tinggi tanaman, diameter batang, produksi jagung, biomassa total segar, produksi hijauan pakan segar, dan kadar kemanisan biji jagung. Hasil penelitian menunjukkan tidak terdapat interaksi perlakuan pada semua parameter. Pemberian urea nyata mempengaruhi tinggi tanaman, diameter batang, biomassa total, dan produksi jagung berkelobot. Perlakuan umur panen mempengaruhi kadar kemanisan jagung. Berdasarkan data dari setiap perlakuan maka dapat direkomendasikan perlakuan pemberian pupuk urea 300k g/ha dan umur panen 70 HST.
Convolutional neural network for estimation of harvest time of forage sorghum (sorghum bicolor) cultivar samurai-1 Suradiradja, Kahfi Heryandi; Sitanggang, Imas Sukaesih; Abdullah, Luki; Hermadi, Irman
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i2.pp1730-1738

Abstract

One of the economic alternatives to improve the quality of ruminant feed is combining grass as the main feed with high-protein forages such as sorghum. To get a quality sorghum harvest during the period, it must be right when it has good biomass content, nutrients, and digestibility. The problem is that measuring quality in the laboratory has additional costs and time, which is not short, causing delays. An approach with machine learning using a convolutional neural network can be a better solution. This research uses a convolutional neural network algorithm with the right architecture to estimate sorghum harvest time from imaging results of unmanned aerial vehicles. The stages of this research include data collection, pre-processing, modeling, and finally, the evaluation stage. This research compares the results of several convolutional neural network (CNN) algorithm architectural models: simple CNN, ResNet50 V2, visual geometry group-16 (VGG-16), MobileNet V2, and Inception V3. The result is determining the CNN algorithm architectural model that can estimate sorghum harvest time with maximum accuracy. The best result is the simple CNN architectural model with an accuracy of 0.95. This research shows that the classification model obtained from the CNN algorithm with a simple CNN architecture is the choice model for estimating sorghum harvest time.
Pengaruh Usia Potong dan Dosis Pupuk Urea Terhadap Kandungan Nutrien dan Kecernaan Sorgum Varietas Samurai 1 Sebagai Pakan Ruminansia Anwar Efendi Harahap; Luki Abdullah; Panca Dewi Manuhara Karti; Despal
Jurnal Nutrisi Ternak Tropis Vol. 7 No. 1 (2024): JNT Jurnal Nutrisi Ternak Tropis Maret
Publisher : Faculty of Animal Science, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jnt.2024.007.01.1

Abstract

Kesulitan penyediaan pakan hijauan pada pengembangan peternakan ruminansia dapat diatasi dengan penggunaan sorgum  karena  mampu menghemat biaya pakan akibat pemanenan yang dilakukan berkali kali pada satu periode penanaman. Penelitian bertujuan mengevaluasi nilai nutrien dan kecernaan sorgum samurai akibat waktu panen dan pupuk urea yang berbeda pada panen pertama. Rancangan penelitian yang digunakan yaitu RAL Pola Faktorial (3x3) dengan 4 ulangan. Faktor pertama adalah perlakuan usia potong 80, 85 dan 90 hari setelah tanam (HST) dan faktor kedua adalah perlakuan dosis pupuk urea terdiri dari 200, 300 dan 400 kg ha-1. Hasil penelitian menunjukkan terdapat interaksi (p<0.05) pada perlakuan protein kasar dan NDF, bahan kering dipengaruhi (p<0.05) usia potong serta ADF (p<0.05) dipengaruhi dosis pupuk urea. WSC dan GE tidak dipengaruhi (p>0.05) usia potong, dosis pupuk dan interaksinya. Selanjutnya KcBK dan KcBO juga tidak dipengaruhi (p>0.05) usia potong dan pemberian pupuk  Waktu panen sorgum samurai 1 usia potong 80 HST dan dosis pupuk urea 200 kg ha-1 menjadi pilihan peternak karena mampu menghasilkan pakan kaya nutrisi sebagai bahan baku pakan ternak ruminansia.
Pertumbuhan dan Produksi Hijauan Rumput Gajah Pakchong Panen Pertama pada Pemberian Dosis Pupuk dan Umur Potong Berbeda: Forage Growth and Production of First Harvest Pakchong Elephant Grass on Different of Fertilizer Dosage and Cutting Age Harianti, Fitri; Ridla, Muhammad; Abdullah, Luki
Jurnal Ilmu Nutrisi dan Teknologi Pakan Vol. 21 No. 2 (2023): Jurnal Ilmu Nutrisi dan Teknologi Pakan
Publisher : Departemen Ilmu Nutrisi dan Teknologi Pakan Fakultas Peternakan Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jintp.21.2.68-74

Abstract

The Pakchong-1 hybrid cultivar is a highly productive forage grass cross between elephant grass and pearl millet grass (Pennisetum purpureum x Pennisetum glaucum). The research objective was to determine the growth and production response of Pakchong-1 elephant grass to different fertilizer doses and cutting ages. The study was conducted at the JASTRU (Jonggol Animal Science Teaching and Research Unit) of IPB University. This study used a 3 x 3 factorial completely randomized design (3 doses of nitrogen fertilizer x 3 cutting ages) with 4 replications. The data was analysed using ANOVA and the Duncan Multiple Range Test. The fertilizer doses used were 100, 200, and 300 kg ha-1, and the cutting ages were 50, 60, and 70 days. The research results showed that the cutting age significantly increased plant height (180.53 – 210.90 cm), dry leaf weight (3.90 – 5.63 tons ha-1), dry stem weight (2.32 – 4.38 tons ha-1), and total dry weight (6.22 – 10.02 tons ha-1). However, biomass production was not affected. There was an interaction between the fertilizer dose and cutting age in terms of the number of tillers (1.99 – 5.15 tillers per clump) and the number of leaves (5.55 – 11.18 leaves per plant). Based on the research, the optimal point for obtaining the best results in terms of plant height growth, number of leaves, number of tillers, production of fresh biomass, dry weight of stems, dry weight of leaves, and total dry weight of Pakchong-1 elephant grass was a cutting edge of 60 days and the addition of 100 kg ha-1 of fertilizer. Key words: cutting age, fertilizer dosage, forage production, growth of pakchong
Evaluasi Program Peningkatan Penanaman Hijauan Pakan Ternak Menggunakan Analytical Hierarchy Process: Evaluation of Forage Cultivation Improvement Program Using Analytical Hierarchy Process Satwika, Prawesa; Abdullah, Luki; Kumalasari, Nur Rochmah
Jurnal Ilmu Nutrisi dan Teknologi Pakan Vol. 21 No. 2 (2023): Jurnal Ilmu Nutrisi dan Teknologi Pakan
Publisher : Departemen Ilmu Nutrisi dan Teknologi Pakan Fakultas Peternakan Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRACT The purposes of this research were to evaluate the effectiveness of the forage planting program in achieving the objectives and to formulate a strategy for the development of the forage program. Primary data were obtained through direct observation in the field and filling out a list of questionnaires by the resource persons. The process of collecting data for the evaluation of the forage planting program was carried out in six provinces, i.e., the provinces of Lampung, Central Java, West Nusa Tenggara, South Sulawesi, South Kalimantan and West Papua (purposive sampling). Data analysis was carried out through the analytical hierarchy process (AHP), which was a functional hierarchy, with the main input being human perception. The number of sources for the AHP method was 22 sources consisting of heads of the Directorate of Feed, agencies in charge of animal husbandry in provinces and districts, as well as farmers group. It could be concluded that that the actor that ranks first in the strategy for developing the forage planting program was the farmers group, followed by the district, provincial and central government. The most influencing factor in the strategy for developing a forage planting program was land, followed by climate, production inputs, regional commitment and forage cultivation. The strategy considered important in the development of forage planting programs was forage planting in the rainy season. The results of AHP analysis on the most influential actors and factors, farmers group and land, could be used as a reference for policy makers in developing strategies for developing forage planting programs. Key words: analytical hierarchy process, cattle, evaluation, feed, forage
Pre-mating Performance of Garut Ewes Fed by Sorghum-Indigofera Based Diet During the Acclimatization Period Somanjaya, Rachmat; Fuah, Asnath Maria; Rahayu, Sri; Abdullah, Luki; Setiadi, Mohamad Agus
Jurnal Ilmu dan Teknologi Peternakan Tropis Vol 9, No 2 (2022): JITRO, May
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.317 KB) | DOI: 10.33772/jitro.v9i2.22522

Abstract

This study aimed to evaluate the effect of sorghum-Indigofera forage-based feed on the pre-mating performance of Garut ewes. A total of 28 Garut ewes was divided into two groups of treatment so that each treatment consisted of 14 heads. The treatment of field grass (FG) as a control and the feed composition in the formula of 50% sorghum forage silage + 40% Indigofera hay + 10% rice bran (SI). The animals were distributed under a completely randomized design, and the data were analyzed using a t-test. The results showed that the dry matter intake (DMI) and nutrient digestibility values of FG were higher (p<0.05) than SI. However, the impact on body weight gain, blood urea nitrogen (BUN) and blood cholesterol level did not differ (p>0.05). The average pre-mating bodyweight of Garut ewes for all treatments was the same number relatively, were 35 kg/head. BUN and blood cholesterol levels in the FG and SI treatments were 36.18±3.47 vs 35.27±4.23, and 66.13±5.56 vs 69.25±3.95 mg/dl, respectively. It can be concluded that SI feed had higher efficiency values and better readiness for the reproductive phase. Therefore, SI feed can be used as a substitute for field grass for the reproductive stage of Garut ewes.
Co-Authors . Nurlaha . Supriyanto A Ali Adrial Adrial Adrial Adrial, Adrial Afsitin Joan Tatra Agus Oman Sudrajat Ahmad Darobin Lubis Ahmad Yani ahmad yani Ahmad Yani Amalia, Ghina Tazkia Anisa Rahmawati Solikah Anwar Efendi Harahap Apriadi Pasaribu Arief, Irma Isnafia Arif Hidayad Ashari Armaji, Yone Asep Tata Permana Asep Tata Permana Asnath Maria Fuah, Asnath Maria Astuti DA Astuti DA Asyidiqy, Tantri Azhar, Muhammad Nur Azib Ernawati - Bagus Priyo Purwanto Bayu Nuari Ramadhan Berta Putri Cathleya Rosadi Choirul Badriah D Sopandi D Sopandi D.A. Astuti Dedi Ramdani Desi Purnamasary Banurea Despal Despal DEWI APRI ASTUTI Dewi Ayu Lestari Diana Sawen Didid Diapari Dwi Mulyasih Dwi Mulyasih Edi Erwan Eko Heru Dumadi Enggi Rizki Pratama Erwan, Edi Fachrul Akbar Fellyanus Habaora Fellyanus Habaora Fellyanus Habaora Fellyanus Habaora Fellyanus Habaora Fensa Eka Widjaya Fitra, Deni Guslian Abdul Basir Hajar Hajar Harianti, Fitri Harun Djuned Harwanto Harwanto Henny Nuraini Heri Sukria Herilimiansyah Herilimiansyah I Anas Ida Ayu Putu Sri Widnyani Idat Galih Permana Imas Sukaesih Sitanggang Indra Gumay Yudha Irma Isnafia Arief Irman Hermadi Iwan Herdiawan Iwan Herdiawan Iwan Prihantoro Iwan Prihantoro Jefirstson Richset Riwukore Jefirstson Richset Riwukore Jefirstson Richset Riwukore Kahfi Heryandi Suradiradja Karti PDMH Karti PDMH Kathleya Rosadi Komarsa Gandasasmita Laili Fithri Hidayati Lilis Khotijah Luis Marnisah M A Chozin M Agus Setiadi Mansyur Mansyur Mona Lastri Lani mufti, abdul Muhammad Ridla N R Kumalasari Nahrowi Nahrowi Nazla Iftikhar Niken Ulupi Nur Rochmah Kumalasari Nur Rohmah Kumalasari P.M.D.H Karti, P.M.D.H Panca Dewi M. H. K. Panca Dewi Manu Hara Karti Panca DMH Karti Priskila Sophia Hutapea Rita Mutia Rizal Putra Rizki Eka Puteri Rizki Palupi Rudi Afnan Rudi Priyanto Rudi Priyanto Rudy Priyanto Rustama Saepudin Sadarman Sadarman Salundik Satria Mulyadi Putra, Erlangga Satwika, Prawesa Shelvie Nidya Neyman Sitanggang, Imas S. Somanjaya, Rachmat SRI RAHAYU Suharlina Suharlina Sumiati . . Sumiati Sumiati Sunardi Suradiradja, Kahfi Heryandi Suwardi Suwardi Suwarnao - Suwarno, Suwarno Tenti Rahmawati Tenti Rahmawati, Tenti Tidi Dhalika Toto Toharmat Yayang Lilik Abdul Holik Yohanes Susanto Yuli Retnani Yundari, Yundari Zikril Hidayat