SETYOWATI RETNO DJIWANTI, SETYOWATI RETNO
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Molecular identification and characterization of Maconellicoccus multipori (Takahashi) (Hemiptera: Pseudococcidae) on Piper nigrum L. Mardiningsih, Tri Lestari; Sartiami, Dewi; Miftakhurohmah, Miftakhurohmah; Djiwanti, Setyowati Retno; Rohimatun, Rohimatun; Hardiyanti, Siti; Heryanto, Rubi; Amaria, Widi; Suwarti, Suwarti
Jurnal Hama dan Penyakit Tumbuhan Tropika Vol. 25 No. 2 (2025): SEPTEMBER, JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA: JOURNAL OF TROPICAL PLAN
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jhptt.225201-207

Abstract

The mealybug Maconellicoccus multipori (Takahashi) was identified on black pepper (Piper nigrum L.) seedlings in a greenhouse in Bogor, West Java, using both molecular and morphological characterization. Two mealybug isolates were successfully amplified with primer pairs targeting the LCO region of the mitochondrial cytochrome oxidase I (COI) gene, yielding a 491 bp PCR product. The nucleotide sequences of both isolates (GenBank accession numbers LC666906 and LC666907) were identical. Phylogenetic analysis revealed that the Bogor isolates clustered closely with M. multipori populations from China and Thailand, with high sequence homology of 99.30% and 99.10%, respectively. Morphological observations of the adult female specimens further confirmed their identity as M. multipori, based on key diagnostic features including body size, antennal segmentation, cerarii pattern, and distribution of pores and ducts, which correspond to descriptions in established taxonomic keys. This study provides the first molecular characterization of M. multipori in Indonesia. The COI sequence data obtained enhances reference databases for DNA barcoding and strengthens early detection strategies for pest monitoring. These findings are crucial for supporting quarantine inspections, management, and control of M. multipori in black pepper nurseries and preventing its spread to other crops.
Expert System For Diagnosing Pests And Diseases Of Ginger Plants Using Case-Based Reasoning Method RIANA, FREZA; Laxmi, Gibtha; Djiwanti, Setyowati Retno; Harianingrum, Riska Pravita; Fajar Kusumah, Fitrah Satrya
Moneter: Jurnal Keuangan dan Perbankan Vol. 11 No. 1 (2023): APRIL
Publisher : Universitas Ibn Khladun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/moneter.v11i1.156

Abstract

Ginger (Zingiber officinale Rosc.) is a medicinal plant that has many benefits and properties that makes ginger one of the export commodities of Indonesian spices. One of the obstacles in exporting fresh ginger is the low quality of ginger caused by pest and disease attacks. Generally in preventing and controlling the spread of pests and diseases namely consult an expert, but the availability of experts is not always there in every area. Therefore this research builds a website based expert system to diagnose pests and diseases of ginger plants with the Case-Based Reasoning method. This method is a problem-solving that uses knowledge from previous experience to solve new problems. The expert system can diagnose five diseases and two pests with 39 symptoms. Based on the simulation test data as many as 50 done randomly, obtained a percentage value of 96% for expert diagnosis results with a system for the Case-Based Reasoning method. This Expert System can help farmers identify and control pests and diseases that attack the ginger plant.