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PENAMBAHAN KOMBINASI AMPAS TEH HIJAU FERMENTASI DAN PROBIOTIK LACTOBACILLUS SP. DALAM RANSUM ITIK CIHATEUP TERHADAP KUALITAS KIMIA DAGING Andri Kusmayadi; Ristina Siti Sundari; Yusuf Sumaryana
Jurnal Ilmu dan Teknologi Peternakan Vol. 11 No. 1 (2023)
Publisher : Fakultas Peternakan, Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jitp.v11i1.24859

Abstract

Ampas teh hijau mengandung senyawa antioksidan yang memiliki banyak khasiat farmakologis serta mengandung tannin yang dapat menurunkan kecernaan sehingga perlu dilakukan pengolahan lebih lanjut dengan cara difermentasi sehingga kecernaannya meningkat. Ampas teh hijau fermentasi yang dikombinasikan dengan probiotik Lactobacillus sp diduga mampu memberikan dampak yang lebih signifikan pada pertumbuhan ternak maupun produknya. Penelitian bertujuan untuk mengkaji pengaruh penambahan kombinasi ampas teh hijau fermentasi (ATHF) dan probiotik Lactobacillus sp di dalam ransum terhadap kualitas kimia daging itik Cihateup. Penelitian dilakukan secara eksperimen menggunakan rancangan acak lengkap dengan memelihara 60 ekor itik Cihateup yang secara acak dikelompokkan ke dalam 4 kelompok perlakuan pakan sebagai berikut: K1 (100% pakan basal + 0% ATHF + 0% Probiotik), K2 (pakan basal + 1% ATHF + 3% Probiotik), K3 (pakan basal + 2% ATHF + 2% Probiotik) dan K4 (pakan basal + 3% ATHF + 1% Probiotik). Parameter penelitian ini yaitu kualitas kimia daging itik Cihateup yang terdiri atas kadar air, kadar protein dan kadar lemak. Hasil penelitian menunjukkan bahwa penambahan kombinasi ATHF dan probiotik Lactobacillus sp berpengaruh nyata (P<0,05) terhadap kadar protein dan kadar lemak daging, sedangkan pada parameter kadar air tidak berpengaruh nyata. Perlakuan K2 (pakan basal + 1% ATHF + 3% Probiotik) menghasilkan kadar protein daging yang paling tinggi dan perlakuan K1 (100% pakan basal + 0% ATHF + 0% Probiotik) menghasilkan kadar lemak daging yang lebih rendah dibandingkan perlakuan lainnya.
PREFERENSI KONSUMEN TERHADAP PRODUK AGROINDUSTRI ABON IKAN Ristina Siti Sundari; Dona Setia Umbara
Jurnal Mebis Vol. 4 No. 1 (2019): July 2019
Publisher : Jurnal Mebis

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

Abstract

Abon ikan merupakan inovasi baru diversifikasi pangan dari ikan segar yang berukuran besar yang sudah menurun nilai jualnya. Tujuan penelitian ini untuk mengidentifikasi dan menganalisis preferensi konsumen terhadap abon ikan melalui atribut-atribut yang mempengaruhi konsumen dalam pengambilan keputusan. Metode yang digunakan adalah analisis konjoin. Penelitian ini menggunakan empat atribut yaitu rasa, warna, tekstur dan harga abon ikan. Hasil penelitian memperlihatkan bahwa preferensi konsumen berfokus kepada hasil stimuli berdasarkan nilai kepuasan­ dan kepentingan atribut di dalamnya. Pada atribut rasa abon ikan patin dengan nilai kepuasan 0,1769. Pada atribut warna memiliki nilai kepuasan 0,068 untuk abon ikan lele. Pada atribut tekstur abon ikan lele memiliki nilai kepuasan 0,072 dan atribut harga Rp 25.000 s.d. Rp 30.000 pada abon ikan patin dengan nilai kepuasan 0,766. Preferensi konsumen dalam memutuskan membeli abon ikan lebih berdasarkan kepentingan rasa walaupun harganya lebih tinggi yakni pada abon ikan patin
PENERAPAN TEKNOLOGI PENGOLAHAN TELUR ASIN HERBAL SEBAGAI PRODUK DIVERSIFIKASI PANGAN ASAL TELUR ITIK DI DUSUN CIHATEUP KABUPATEN TASIKMALAYA Andri Kusmayadi; Ristina Siti Sundari; Yusuf Sumaryana
J-DEPACE (Journal of Dedication to Papua Community) Vol 5, No 2 (2022): Desember
Publisher : Universitas Victory Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34124/jpkm.v5i2.128

Abstract

Dusun Cihateup merupakan tempat proses domestikasi ternak itik Cihateup sebagai ternak lokal khas Tasikmalaya Jawa Barat. Ketersediaan telur itik di Dusun Cihateup cukup melimpah dimana setiap harinya dapat menghasilkan lebih dari 500 butir telur. Harga jual telur itik relatif rendah yaitu sebesar Rp 2.000,00 per butirnya. Daya tahan telur itik segar yang rendah dapat ditingkatkan dengan cara diolah melalui proses diversifikasi pangan agar daya tahan telur semakin meningkat dan menghasilkan nilai jual yang tinggi. Solusi untuk mengatasi permasalahan ini yaitu dengan melakukan pengolahan telur itik segar menjadi telur asin herbal untuk meningkatkan daya tahan telur, meningkatkan harga jual telur, serta menghasilkan sifat fungsional pada produk telur asin herbal untuk meningkatkan imunitas masyarakat pasca Pandemi Covid-19. Tujuan program pengabdian kepada masyarakat ini yaitu untuk meningkatkan nilai tambah dan daya tahan telur itik Cihateup, serta meningkatkan keterampilan masyarakat Dusun Cihateup dalam mengolah telur asin herbal. Kegiatan pengabdian masyarakat dilaksanakan pada bulan Juni sampai dengan September 2022 di Dusun Cihateup, Desa Sukanagalih, Kecamatan Rajapolah, Kabupaten Tasikmalaya. Metode pelaksanaan program terdiri atas penyuluhan, pelatihan dan pendampingan pada warga masyarakat di Dusun Cihateup, anggota kelompok ternak “Kelompok Megar Bebek Cihateup”, dan anggota Badan Usaha Milik Desa “Berdikari”. Kegiatan ini mampu meningkatkan keterampilan dan pendapatan masyarakat melalui pengolahan telur asin herbal.
Perbedaan Hasil Usaha Buah Melon Yang Menggunakan Naungan Dan Tidak Naungan Wiyanto, Andi; Siti Sundari, Ristina; Setia Umbara, Dona
Jurnal Sosiologi Pertanian dan Agribisnis Vol 5 No 1 (2023): Januari : Jurnal Sosiologi Pertanian dan Agribisnis
Publisher : Universitas Gajah Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55542/juspa.v5i1.581

Abstract

Melon fruit is one of the horticultural plants that are widely consumed by the public, with a content of 54% and 49% daily nutritional adequacy levels in vitamins A and C, containing minerals, sodium, iron, potassium, magnesium, phosphorus and fruit flesh containing carotenoids for the body's immunity. Agricultural cultivation requires sophisticated technology to facilitate farming activities, one of which is the Tunas Harapan farmer group. One of the communities in Tasikmalaya city that cultivates melons with shade treatment and not shade. This study aims to find out how the results of melon farming using shade and not using shade differ. The results of this study show that the total amount of costs on shade is Rp.1.187.366 while non-shade is Rp.1.111.660 with a difference of Rp.75.706 in one planting period, total income on shade is Rp. 2.462.634 while non-shade is Rp.1.925.840 with a difference in total income of Rp.536.794 and the amount of production in shade is 146 kg while non-shade is 121.5 kg with a difference in total yield of 24.5/kg in one planting period. It can be known that there is a difference between melon farming using shade is higher than melon farming business that does not use shade, this shows that using shade is more profitable than not using shade. In the ratio of melon farming, it can be seen from the two treatments that melon farming using shade is relatively high with a value of 3,0 and does not use shade of 2,7.
Advancing Animal Health: A Web-Based Expert System Utilizing Forward Chaining for Disease Diagnosis Sarmidi Sarmidi; Ade Bastian; Muhammad Taufiq; Volodymyr Rusyn; Adnan Arshad; Ristina Siti Sundari
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1207

Abstract

The increasing prevalence of animal diseases, along with the increasing need for animal products, highlights the urgent need for efficient diagnostic tools in veterinary medicine. The aim of this research is to create an expert system that uses a forward chaining algorithm to diagnose animal diseases. The forward chaining algorithm is a deductive reasoning approach that starts with existing facts and uses expert tree rules for hypotheses. This process continues until the desired goal is achieved or no additional conclusions can be drawn. Even though there are developments in expert systems, there are still shortcomings in implementing the forward chain for rapid and precise diagnosis of livestock diseases. This work aims to fill this gap by developing an expert system that improves the accuracy and efficiency of disease diagnosis in the livestock industry. A database of animal diseases and symptoms was created by observing and interacting directly with farmers. The system architecture is specifically intended to optimize data processing and user engagement, enabling rapid diagnosis and treatment recommendations. This test shows a level of accuracy and precision, thereby reducing the possibility of misdiagnosis. The capacity of expert systems to provide fast and reliable diagnoses has the potential to improve livestock health management, thereby helping farmers maintain animal welfare and productivity. The results of this work advance the field of veterinary diagnostics and propose other uses of expert systems in animal health management.
Advancing Animal Health: A Web-Based Expert System Utilizing Forward Chaining for Disease Diagnosis Sarmidi, Sarmidi; Bastian, Ade; Taufiq, Muhammad; Rusyn, Volodymyr; Arshad, Adnan; Siti Sundari, Ristina
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1207

Abstract

The increasing prevalence of animal diseases, along with the increasing need for animal products, highlights the urgent need for efficient diagnostic tools in veterinary medicine. The aim of this research is to create an expert system that uses a forward chaining algorithm to diagnose animal diseases. The forward chaining algorithm is a deductive reasoning approach that starts with existing facts and uses expert tree rules for hypotheses. This process continues until the desired goal is achieved or no additional conclusions can be drawn. Even though there are developments in expert systems, there are still shortcomings in implementing the forward chain for rapid and precise diagnosis of livestock diseases. This work aims to fill this gap by developing an expert system that improves the accuracy and efficiency of disease diagnosis in the livestock industry. A database of animal diseases and symptoms was created by observing and interacting directly with farmers. The system architecture is specifically intended to optimize data processing and user engagement, enabling rapid diagnosis and treatment recommendations. This test shows a level of accuracy and precision, thereby reducing the possibility of misdiagnosis. The capacity of expert systems to provide fast and reliable diagnoses has the potential to improve livestock health management, thereby helping farmers maintain animal welfare and productivity. The results of this work advance the field of veterinary diagnostics and propose other uses of expert systems in animal health management.