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Identifikasi Jamur Penyebab Penyakit Pascapanen pada Beberapa Komoditas Bahan Pangan PRATIWI, NOVA WAHYU; JULIANTARI, ERWINA; NAPSIYAH, LUTFI KHOTUN
Jurnal Riau Biologia Vol 1, No 1 (2016)
Publisher : Jurusan Biologi FMIPA Universitas Riau

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Food commodities can actually be stored for a long term after harvesting, but there are some constraintsof decrease in the quality of the fruit because of several postharvest diseases caused by microorganismssuch as fungi, bacteria, and viruses. The most frequently postharvest diseases trigger found is a group ofpathogenic fungi. The results of identification of fungi causing disease in several types of fruitpostharvest which were performed by blotter test method and medium PDA showed that Colletotricumcapsici fungi was found in chili, Rhizoctonia solani in bananas and tomatoes, Amerosporium sp. inpapaya, Pythium sp. on bananas, Fusarium solani on mango, banana, and papaya, and Phomopsis sp. ontomatoes.Keywords: fungi, food commodity, identification, postharvest diseases

Formulasi Mikroorganisme Lignoselulolitik Asal Tanah Gambut Desa Rimbo Panjang, Kampar Sebagai Bioaktivator Bentuk Padat CHOIRUNNISA, CHOIRUNNISA; ZUL, DELITA; PRATIWI, NOVA WAHYU
Jurnal Riau Biologia Vol 2, No 2 (2017)
Publisher : Jurusan Biologi FMIPA Universitas Riau

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Bioaktivator merupakan agen pengaktivasi yang mengandung mikroorganisme lignoselulolitik danberperan untuk mempercepat proses pengomposan. Penelitian ini bertujuan untuk memproduksibioaktivator padat bentuk serbuk dan granul menggunakan bahan pembawa gambut serta membandingkankualitasnya pada masa simpan 3 bulan. Mikroorganisme yang digunakan yaitu 2 isolat jamur (RPL 3-3 danRPL 1-14) dan 2 isolat aktinomisetes (RB1S3 dan L3A7) yang digunakan sebagai starter. Starter terdiriatas starter I dan II yang merupakan campuran 3 isolat dan starter III terdiri dari 4 isolat yang dibuatmengunakan medium PDA dan SCA. Masing-masing starter diinokulasikan ke bahan pembawa gambutsteril dengan kelembaban 10% dan difermentasikan selama 5 hari. Masing-masing bioaktivator selanjutnyadikemas dan disimpan selama 1, 2, dan 3 bulan dalam refrigerator. Untuk setiap masa simpan ditentukanpH bioaktivator dan total populasi mikroorganisme lignoselulolitik. Bioaktivator padat bentuk serbuk dangranul yang disimpan selama 3 bulan tidak mengalami perubahan warna dengan pH berkisar antara 7,1-7,6. Populasi mikroorganisme lignoselulolitik pada beberapa starter cenderung mengalami penurunanhingga 3 bulan masa simpan. Akan tetapi, total populasi tersebut masih berada pada kisaran 107â108 CFU/g.Populasi jamur tertinggi pada starter I bentuk granul (4,4 x 108 CFU/g), sedangkan populasi aktinomisetesyaitu pada starter I bentuk serbuk (2,36 x 109 CFU/g). Mikroorganisme lignoselulolitik yang digunakansebagai starter terbukti tetap mampu bertahan hidup pada bioaktivator hingga 3 bulan masa simpan yangditandai dengan terbentuknya zona bening di sekeliling koloni pada medium selulolitik dan terbentuknyapigmen merah kecoklatan pada medium ligninolitik.

Antioxydant Extract of Endophytic Fungi Fusarium oxysporum LBKURCC41 Marlinda, Sri; Teruna, Hilwan Yuda; Pratiwi, Nova Wahyu; Ardhi, Aulia; Saryono, Saryono
Jurnal Natur Indonesia Vol 17, No 2 (2019)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Fusarium oxysporum LBKURCC41 is one of endophyte fungi which is able to produce secondary metabolites. The purpose of this research was to discover an antioxidant agent from F. oxysporum LBKURCC41extract that was fermented in Huang medium for 15 d with of corn and potato with particle size of 80 mesh as carbon sources. The ethyl acetate extract from the cultured medium showed four dominant component with retentiont time of 3.24, 3.44, 17.02 and 18.889 min. The F. oxysporum LBKURCC41 extract containing compounds with functional group O-H, C-H and C-O, and it had a IC50 value of 435,157±12,009a.

MORPHOLOGICAL IDENTIFICATION OF FUNGAL PATHOGENS ASSOCIATED WITH POST-HARVEST DISEASES Ulilalbab, Azizah Ridha; Cahyasita, Dhika; Pratiwi, Nova Wahyu; Ajri, Miftahul; Hanikaf, Uliyatul Muhmiroh; Kuncoro, Seto Agung
Jurnal Agrivet Vol 29, No 2 (2023): AGRIVET
Publisher : UNIVERSITAS PEMBANGUNAN NASIONAL ”VETERAN” YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/agrivet.v29i2.11001

Post-harvest products are perishable and vulnerable to diseases that lead to quality deterioration and yield loss. One of the primary diseases found in most post-harvest products is caused by fungal pathogens. This study identified fungal pathogens associated with post-harvest products through morphological characterization. Fruit and vegetable samples were collected from traditional markets and fruit stores in Central Java. The results of fungal pathogens identification causing disease on post-harvest products showed that Pestalotiopsis sp and Neopestalotiopsis sp. were found on guava with white blackish mycelium, present concentric ring and blackspot, Aspergillus sp. on tomato with yellow-greenish mycelium, present concentric ring only, Botrytis sp. with grey mycelium and Rhizoctonia solani with white greyish mycelium and present of a concentric ring on apple, Rhizoctonia solani with greyish black and present of blackspot on mango, and Colletotrichum sp. with white greyish mycelium and present of a concentric ring, conidiomata and blackspot on citrus. This study concluded that the most fungal pathogens on post-harvest that we found were Pestaloptia sp., Rhizoctonia solani, Aspergillus sp., Botrytis sp., and Colletotrichum sp.

MONITORING PERUBAHAN TUTUPAN LAHAN KABUPATEN KLATEN TAHUN 2019 DAN 2023 SELAMA PEMBANGUNAN JALAN TOL YOGYAKARTA – SOLO MENGGUNAKAN GOOGLE EARTH ENGINE (GEE) Apriyanti, Dessy; Layali, Ilfa; Gomareuzzaman, Muhammar; Pratiwi, Nova Wahyu; Martasari, Rial Dwi
Elipsoida : Jurnal Geodesi dan Geomatika Vol 8, No 1 (2025): Volume 08 Issue 01 Year 2025
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/baf.%v.%i.%Y.%p

Metode konvensional seperti klasifikasi berbasis piksel yang biasa digunakan dalam melakukan klasifikasi tutupan lahan membutuhkan waktu yang cukup lama, selain itu dibutuhkan komputer yang memiliki performa yang tinggi agar proses pengolahan citra dapat berjalan dengan lancar. Google Earth Engine (GEE) memungkinkan pengguna untuk melakukan pengolahan citra satelit ter-georeferensi yang tersimpan pada arsip (cloud) GEE dengan membangun suatu algoritma untuk menjalankannya. GEE juga mempunyai beberapa metode machine learning untuk analisis citra. Salah satu metode machine learning yang popular digunakan adalah Random Forest. Random Forest (RF) telah banyak digunakan mengklasifikasikan citra satelit seperti yang dilakukan. Keunggulan dari metode RF, di antaranya non-parametrik, mampu menggunakan set data kontinyu dan tidak sensitif terhadap over-fitting. RF adalah metode potensial untuk memetakan tutupan lahan dibandingkan dengan metode konvensional. Dilakukan penelitian tentang perubahan tutupan lahan menggunakan Algoritma Random Forest pada platform GEE di Kabupaten Klaten Jawa Tengah pada tahun 2019 – 2023 selama Pembangunan Jalan Tol Yogyakarta – Solo. Analisis perubahan tutupan lahan dilakukan menggunakan data citra satelit Sentinel 2A. Selain analisis tutupan lahan dari hasil algoritma RF, dilakukan uji akurasi menggunakan matriks konfusi. Hasil model Random Forest yang sudah dijalankan menunjukan hasil perubahan lahan masing – masing kelas tutupan lahan, dengan kelas paling banyak berubah pada bangunan bertambah sebanyak 4.972 ha serta paling berkurang pada kelas badan air 0.341 ha. hasil klasifikasi model Random Forest juga menunjukan uji akurasi dengan Kappa Accuracy 77% pada tahun 2019, serta Kappa Accuracy 84% pada tahun 2023.

Isolation and antimicrobial activity of lactic acid bacteria from the traditional fermented food cangkuok semaung in Riau, Indonesia Pratiwi, Nova Wahyu; Saryono, Saryono; Ismawati, Ismawati; Devi, Silvera; Suraya, Nabella; Lovenia, Nia; Nurafriza, Widya; Sasmita, Ellen Rosyelina; Ardhi, Aulia
Jurnal Ilmiah Pertanian Vol. 22 No. 2 (2025): Jurnal Ilmiah Pertanian
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jip.v22i2.27537

Fermentation can be an effective step in addressing postharvest handling challenges and enhancing nutritional value through the conversion of perishable crops into more stable products. One of the traditional fermented foods originating from Kuantan Singingi Regency, Riau Province, Indonesia, is cangkuok semaung (CS). This food is prepared by fermenting all fruit components of the semaung (Pangium edule). This research aimed to isolate and identify lactic acid bacteria (LAB) from CS and investigate their antimicrobial properties. The bacteria were isolated from the food, purified using the quadrant streak method on the De Man–Rogosa–Sharpe agar, and continued with morphological analysis and antimicrobial activities evaluation. The findings of this study revealed that 45 isolates were gram-positive bacteria identified as Lactobacillus sp. Among the LAB isolates, the highest antimicrobial activity against Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, and Klebsiella pneumoniae were shown by isolates of S12, S14, S27, and S24, respectively. These results suggest that LAB from CS, especially isolates S12 and S14, have promising antimicrobial properties and show potential as probiotic candidates that merit further investigation into possible applications in food and health sectors.

MORPHOLOGICAL IDENTIFICATION OF FUNGAL PATHOGENS ASSOCIATED WITH POST-HARVEST DISEASES Ulilalbab, Azizah Ridha; Cahyasita, Dhika; Pratiwi, Nova Wahyu; Ajri, Miftahul; Hanikaf, Uliyatul Muhmiroh; Kuncoro, Seto Agung
Jurnal Agrivet Vol 29 No 2 (2023): AGRIVET
Publisher : UNIVERSITAS PEMBANGUNAN NASIONAL ”VETERAN” YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/agrivet.v29i2.11001

Post-harvest products are perishable and vulnerable to diseases that lead to quality deterioration and yield loss. One of the primary diseases found in most post-harvest products is caused by fungal pathogens. This study identified fungal pathogens associated with post-harvest products through morphological characterization. Fruit and vegetable samples were collected from traditional markets and fruit stores in Central Java. The results of fungal pathogens identification causing disease on post-harvest products showed that Pestalotiopsis sp and Neopestalotiopsis sp. were found on guava with white blackish mycelium, present concentric ring and blackspot, Aspergillus sp. on tomato with yellow-greenish mycelium, present concentric ring only, Botrytis sp. with grey mycelium and Rhizoctonia solani with white greyish mycelium and present of a concentric ring on apple, Rhizoctonia solani with greyish black and present of blackspot on mango, and Colletotrichum sp. with white greyish mycelium and present of a concentric ring, conidiomata and blackspot on citrus. This study concluded that the most fungal pathogens on post-harvest that we found were Pestaloptia sp., Rhizoctonia solani, Aspergillus sp., Botrytis sp., and Colletotrichum sp.

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