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Pengaruh Bio-aktivator dan Lama Fermentasi terhadap Kualitas Organoleptik dan Fisik Fermentasi Lumpur sawit. Dwatmadji, Dwatmadji; Suteky, Tatik; Wahyudi, Tri
Buletin Peternakan Tropis Vol. 5 No. 1 (2024)
Publisher : BPFP Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/bpt.5.1.78-88

Abstract

The study aimed to evaluate the effect of bio-activators and length of fermentation on the quality of fermented palm sludge. In this research, a complete randomised design (CRD) factorial design with two factors was employed. The kind of bio-activator (F) is the first factor, and the length of fermentation (M) is the second: There are two varieties of the bio-activator factor: F1 = EM4 and F2 = Bionak. There are four fermentation times: M1 (one week of fermentation), M2 (two weeks), M3 (three weeks), and M4 (four weeks). Eight treatment combinations were repeated seven times from the two factors, for a total of 56 treatment combinations. The fermenting ration consists of 80% palm oil sludge and 17% rice bran the rest consists of dolomite, urea, molasses, minerals and salt. The parameters observed and calculated are colour, aroma, texture, presence of mold, pH and temperature as well as dry matter and organic matter content. The findings demonstrated that the organoleptic quality of palm oil sludge fermented with EM4 or Bionak exhibited brown colouration similar to that of fresh solid colour, a fresh sour aroma characteristic of fermented feed, softness (neither slimy nor lumpy), and the absence of mold after up to two weeks of fermentation. The results also showed a highly significant (P<0.01) of bio-activators used and the duration of fermentation and interaction between the two. pH up to 4 weeks fermentation less than 4.5, the longer the fermentation process, the less organic matter and dry matter there is.   Keywords: Solid, Fermentor, Colour, Aroma, Dry Matter   ABSTRAK Penelitian bertujuan untuk mengevaluasi pengaruh bio-aktivator dan lama fermentasi terhadap kualitas lumpur sawit yang difermentasi. Rancangan Acak Lengkap (RAL) pola faktorial, yang terdiri dari 2 faktor dipergunakan dalam penelitian ini.Adapun Faktor  pertama adalah (F) jenis bio-aktivator  dan faktor kedua adalah lama fermentasi (M): Faktor  bio-aktivator  terdiri dati 2 jenis yaitu F1= EM4 dan F2= Bionak. Faktor Lama penyimpanan terdiri dari 4 yakni M1= Fermentasi selama 1 minggu M2=   2 minggu M3= 3 minggu dan M4= 4 minggu. Dengan demikian dari 2 faktor perlakuan tersebut terdapat 8 kombinasi perlakuan yang di ulang sebanyak 7 kali, sehingga total ada 56. Susunan ransum yang akan di fermentasi adalah lumpur sawit 80%, dedak padi 17 % sisa nya terdiri dari dolomit, urea, molases,  mineral dan garam. Parameter yang di amati dan di hitung adalah warna, aroma, tektur, keberadaan jamur, pH dan suhu serta kandungan bahan kering dan bahan organik. Hasil penelitian menunjukkan bahwa fermentasi sampai dengan 2 minggu kualitas organoleptik sawit yang di fermentasi dengan EM4 atau Bionak menunjukkan warna coklat seperti warna solid segar, aroma Asam segar khas bau pakan fermentasi, Lunak (tidak menggumpal dan tidak berlendir) dan belum ada keberadaan jamur. Hasil penelitian juga menunjukkan adanya pengaruh  yang sangat nyata (P<0.01) bio-aktivator yang di pergunakan dan lama fermentasi serta interaksi keduanya. pH sampai dengan 4 minggu fermentasi kurang dari 4.5, semakin lama proses fermentasi terjadi penurunan bahan kering dan bahan organik.   Kata kunci: Solid, Fermentor, Warna, Aroma, Bahan Kering.
Sistem Pakar Untuk Mendiagnosa Penyakit Bakteri Pada Ayam Petelur Menggunakan Metode Variable Centered Intelligent Rule System (VCIRS) dan Certainty Factor Berbasis Website (Studi Kasus: Peternakan Ayam Petelur Di Tahura) Andreswari, Desi; Suteky, Tatik; Winda P, Desi Ade
Rekursif: Jurnal Informatika Vol 12 No 1 (2024): Volume 12 Nomor 1 Maret 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i1.33933

Abstract

Laying chickens are a type of poultry that is in demand by the public. One of the commodities currently being developed in Indonesia is poultry because the eggs produced are very much in demand by the Indonesian people. However, to achieve egg production and produce good eggs and make quite a large profit, farmers must pay attention to health and take good care of laying hens so that they are not susceptible to disease. There are several types of diseases that attack laying hens, one of which is a type of bacteria that causes many chickens to die and egg production decreases. Therefore, we need a system that can diagnose bacterial diseases in laying hens by applying the web-based Variable-Centered Intelligent Rule System and Certainty Factor methods, so that this system can help breeders solve problems without having to meet with experts directly. Test results from 25 test data carried out, this system is able to diagnose bacterial diseases correctly with an accuracy value of 92%. It can be concluded that this system can diagnose bacterial diseases in laying hens well. Keywords: Laying Chickens, Disease, Variable-Centered Intelligent Rule System, Certainty Factor, Expert System.
Implementasi Metode Naïve Bayes Dalam Sistem Pakar Diagnosis Penyakit Pada Itik Mojosari Andreswari, Desi; Suteky, Tatik; Epana Sari, Renti
Rekursif: Jurnal Informatika Vol 12 No 2 (2024): Volume 12 Nomor 2 November 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i2.32507

Abstract

Mojosari ducks are a type of duck that has potential as an egg producer, so many duck breeders are interested in it. Delays in treating disease in Mojosari ducks can result in various losses, such as decreased egg quality and quantity, disease transmission to other ducks, and can cause death of the ducks. Therefore, researchers built an expert system that can carry out quick and accurate diagnoses of duck diseases as well as correct countermeasures. This system was built by applying the Naïve Bayes method to an expert system to diagnose Mojosari duck disease by calculating the prior probability value of each disease based on input of symptoms that appear in the ducks. This system can detect 10 types of diseases and 40 symptoms that attack Mojosari ducks. This research was carried out with 30 test data and resulted in a system accuracy of 90%. Keywords: Mojosari Ducks, Diseases, Diagnose, Ducks, Expert Systems, Naïve Bayes.
Profil Darah Ayam Broiler yang Diberi Ekstrak Daun Kitolod (Isotoma longiflora) Melalui Air Minum Martin, Sefdi Wenda; Dani, Muhammad; Suteky, Tatik
Buletin Peternakan Tropis Vol. 3 No. 2 (2022)
Publisher : BPFP Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/bpt.3.2.136-142

Abstract

This study aims to evaluate the blood profile of broiler chickens given kitolod leaf extract (Isotoma longiflora) through drinking water. This study used 200 broiler chickens with 5 treatments and 4 replications. P0: Drinking water + 0% kitolod leaf extract, P1: Drinking water + tetracyclin, P2: Drinking water + 1.5% kitolod leaf extract, P3: Drinking water + 3.0% kitolod leaf extract, P4: Drinking water + 4.5% kitolod leaf extract. The design used in this study was a RAL design (Completely Randomized Design), analyzed using ANOVA. The variables observed were red blood cells (eritrosit), hemoglobin, white blood cells (leukosit), hematocrit. The results of this study showed that the treatment had no significant effect (P>0.05) on red blood cells (eritrosit), hemoglobin, white blood cells (leukosit), and hematocrit. Red blood cells (eritrosit) ranged from 2.10-2.52 × 106µl, hemoglobin ranged from 9.8-11.1 g/dL, white blood cells (leukosit) ranged from 175.8-183.7 × 103µl, and hematocrit ranged from 28.8 to 32.5%. The conclusion of this study was that the administration of kitolod leaf extract (Isotoma longiflora) from 1.5%-4.5% of Kitolod leaves maintain the blood profile of broiler chickens.   Key words: Blood Profile, Broiler, Kitolod.   ABSTRAK Penelitian ini bertujuan untuk mengevaluasi profil darah ayam broiler yang diberi ekstrak daun kitolod (Isotoma longiflora) melalui air minum. Penelitian ini menggunakan 200 ekor ayam broiler dengan 5 perlakuan dan 4 ulangan. P0: Air minum + 0% ekstrak daun kitolod, P1: Air minum + tetracyclin, P2: Air minum + 1,5% ekstrak daun kitolod, P3:Air minum + 3,0% ekstrak daun kitolod, P4: Air minum + 4,5% ekstrak daun kitolod. Rancangan yang digunakan dalam penelitian ini adalah rancangan RAL (Rancangan Acak Lengkap), dianalisis dengan menggunakan ANOVA. Variabel yang diamati yaitu sel darah merah (eritrosit), hemoglobin, sel darah putih (leukosit), hematokrit. Hasil penelitian ini menunjukkan bahwa perlakuan tidak berpengaruh nyata (P>0,05) terhadap sel darah merah (eritrosit), hemoglobin, sel darah putih (leukosit), hematokrit. Sel darah merah (eritrosit) berkisar antara 2,10-2,52 × 106µl, hemoglobin berkisar antara 9,8-11,1 g/dL, sel darah putih (leukosit) berkisar antara 175,8-183,7 × 103µl, dan hematokrit berkisar 28,8-32,5 %. Kesimpulan dari penelitian ini pemberian ekstrak daun kitolod (Isotoma longiflora) dari perlakuan 1,5% - 4,5% dapat mempertahankan profil darah ayam broiler.