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All Journal Jurnal Fitopatologi Indonesia Bioma : Berkala Ilmiah Biologi Bioscience Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Biogenesis: Jurnal Ilmiah Biologi Teknosains: Media Informasi Sains dan Teknologi Techno: Jurnal Penelitian Prosiding Seminar Biologi Bioeksperimen: Jurnal Penelitian Biologi Jurnal Florea Jurnal Perlindungan Tanaman Indonesia Journal of Tropical Biodiversity and Biotechnology BIOMA : Jurnal Biologi Makassar JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA Jurnal Biodjati Jurnal SOLMA Jurnal Biologi Tropis JURNAL PENGABDI Jurnal Pertanian Agros Jurnal Biolokus: Jurnal Penelitian Pendidikan Biologi dan Biologi JURNAL PengaMAS Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Biota INSIST (International Series on Interdisciplinary Research) AGROSCRIPT Journal of Applied Agricultural Sciences Jurnal Ilmiah Biologi Eksperimen dan Keanekaragaman Hayati (J-BEKH) Pelita Eksakta Konservasi Hayati Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Jurnal Jaring SainTek International Journal of Engineering, Science and Information Technology Journal of Multidisciplinary Applied Natural Science TROPICAL GENETICS Journal of Sustainability Science and Technology JURNAL BIOLOGI PAPUA BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat Seminar Nasional Teknologi dan Multidisiplin Ilmu Tropical Genetics BIO-SAINS | Jurnal Ilmiah Biologi Journal of Digital Market and Digital Currency Agroscript: Journal of Applied Agricultural Sciences Analit: Analytical And Environmental Chemistry
Mahfut
Jurusan Biologi, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Lampung, Jalan Prof. Dr. Sumantri Brojonegoro No. 1 Bandar Lampung, Lampung 35144
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Social Sciences Transportation Other

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DEEP LEARNING ALGORITHM INVENTORY FOR SUGAR CANE LEAF DISEASE DETECTION Nisar Zaidal; Admi syarif; Mahfut Mahfut
Seminar Nasional Teknologi dan Multidisiplin Ilmu (SEMNASTEKMU) Vol. 5 No. 1 (2025): SEMNASTEKMU
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ccz51528

Abstract

Tebu (Saccharum spp.) merupakan komoditas industri utama yang produktivitasnya sangat dipengaruhi oleh penyakit daun, sehingga deteksi dini dan akurat menjadi faktor penting dalam menjaga keberlanjutan produksi. Deep learning menawarkan solusi canggih dan non-destruktif untuk diagnosis penyakit melalui analisis citra secara otomatis. Namun, penelitian yang ada mengenai deteksi penyakit daun tebu masih bersifat terfragmentasi, dengan variasi pada dataset, metode praproses, serta metrik evaluasi yang menyulitkan perbandingan langsung antar algoritma. Penelitian ini secara sistematis melakukan inventarisasi dan evaluasi algoritma deep learning yang diterapkan pada deteksi penyakit daun tebu, termasuk Convolutional Neural Networks (CNN), Vision Transformers (ViT), dan arsitektur hibrida CNN–Transformer. Sintesis komparatif terhadap berbagai model pretrained yang banyak digunakan—seperti ResNet, EfficientNet, DenseNet, dan MobileNet—dilakukan untuk mengidentifikasi kinerja relatif serta adaptabilitasnya terhadap citra lapangan dan UAV. Studi ini juga mengusulkan rekomendasi metodologis terstandar terkait praproses, augmentasi, dan evaluasi guna meningkatkan replikasi serta penerapan di tingkat lapangan. Hasil penelitian ini menjembatani kesenjangan antara kemajuan teoretis dan aplikasi praktis dalam pertanian presisi, serta memberikan kerangka acuan bagi peneliti dan praktisi untuk memilih pendekatan deep learning yang paling sesuai dalam pemantauan kesehatan tebu di kondisi nyata.  
Pengaruh Giberelin Dan MOL Bonggol Pisang Batu Terhadap Pertumbuhan Cabai Merah Besar (Capsicum annuum L.) Istiqomah; Endang Nurcahyani; Yulianty; Mahfut
BULLET : Jurnal Multidisiplin Ilmu Vol. 5 No. 1 (2026): BULLET : Jurnal Multidisiplin Ilmu (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

Large red chili (capsicum annuum L.)  is a herbaceous plant that has a spicy taste and is one of the types of chili that is most widely used by the Indonesian people, especially on a household scale by 61%. Therefore, increasing the production of large red chili needs to be done, one of which is through the administration of gibberellin and Local Microorganisms (MOL) from Batu banana corms. This study aims to determine the effect of administering gibberellin (GA3) and MOL from Batu banana corms on the growth of large red chili plants, determine the most effective concentration, and observe the interaction between the two. The study was conducted from February to March 2024 at the Botany Laboratory, FMIPA, University of Lampung, using a factorial Completely Randomized Design (CRD). The first factor was gibberellin with two concentration levels (0% and 10%), and the second factor was MOL from Batu banana corms with three concentration levels (0%, 10%, and 20%) with five replications, resulting in 30 experimental units. The parameters observed included plant height, root length, fresh weight, dry weight, relative water content, chlorophyll content, and leaf visualization. Data were analyzed using ANOVA followed by a 5% Tukey test. The results showed that the combination of 10% GA3 and 20% MOL affected fresh weight, dry weight, and chlorophyll a, b, and total, while the control affected plant height, root length, and relative water content.
Penggunaan Kulit Buah Jeruk Manis (Citrus aurantium L.) Sebagai Pelapis Alami Untuk Mempertahankan Mutu Buah Cabai Merah (Capsicum annuum L.) Dan Ketahanan Terhadap Jamur Colletotrichum sp. Aviva Indira Putri; Sri Wahyuningsih; Yulianty; Mahfut
BULLET : Jurnal Multidisiplin Ilmu Vol. 5 No. 1 (2026): BULLET : Jurnal Multidisiplin Ilmu (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

Red chili (Capsicum annuum L.) is an important horticultural crop that is widely used as a cooking spice. However, this fruit has a short shelf life and is susceptible to Colletotrichum sp. infection which causes anthracnose disease. One effort to extend the shelf life and suppress fungal infection is the use of natural coatings. Sweet orange peel(Citrus aurantium L.) which contains pectin has the potential to be used as a base material for natural coatings to increase the resistance of red chili. This study aims to determine the effect and determine the effective concentration of natural coatings from sweet orange peel on the quality of red chili and its resistance to Colletotrichum sp. The study used a Completely Randomized Design (CRD) with six treatment concentrations: 0%, 1%, 2%, 3%, 4%, and 5%, each repeated four times. The parameters observed included texture, weight loss, incubation period, disease incidence, disease severity, and number of conidia. The results showed that a concentration of 5% gave the best results in maintaining fruit texture and weight, extending the incubation period, and inhibiting disease development and reducing the number of Colletotrichum sp. conidia.
Genetic Diversity and Relationships of Dendrobium Based on TrnL-F Markers: An Approach In-silico Ikhwan Ismail; Mahfut Mahfut
Tropical Genetics Vol. 5 No. 2 (2025): Genetics
Publisher : Genetikawan Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/tg.v5i2.87

Abstract

The development of DNA sequencing technologies has deepened our understanding of genetic variation within Dendrobium species and revealed evolutionary relationships among them. in-silico methods facilitate efficient phylogenetic determination, leveraging computational advantages to process sequence data with high accuracy. This study aims to significantly contribute to the understanding of genetic diversity within the genus Dendrobium based on the TrnL-F marker, with potential implications for the conservation and management of these plant genetic resourcesThis paper presents nucleotide diversity analysis and phylogenetic analysis to determine the kinship relationships among Dendrobium species. The analysis revealed a high degree of relatedness among the Dendrobium species, with kinship relationships dividing them into three distinct groups.
Identification of Disease and Efforts to Protect Natural Orchid Plants Against Fungi Infection in the Liwa Botanical Garden Mahfut Mahfut; Mitha Valentina Treesya Panjaitan; Sri Wahyuningsih; Tundjung Tripeni Handayani; Sukimin Sukimin
International Journal of Engineering, Science and Information Technology Vol 1, No 1 (2021)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (772.665 KB) | DOI: 10.52088/ijesty.v1i1.39

Abstract

Liwa Botanical Garden is located in West Lampung Regency which has an area of 86.6 hectares and is one of the conservation of ornamental plants that presents the flora of the Bukit Barisan Selatan National Park. One of the flagship collections of this botanical garden is a native orchid. Disease infection is still a major obstacle in the cultivation and development of native orchid potential at Liwa Botanical Garden. Based on the results of previous studies, it is known that several individual natural orchid collections from Liwa Botanical Garden showed symptoms of fungal disease infections. Disease infections can inhibit plant growth and resistance and reduce the aesthetic value periodically. Symptoms of infection include necrotic patches on the upper surface of the leaf. This research was conducted to determine the identification of diseases and efforts to protect native orchids against fungal infections at Liwa Botanical Garden through a collection of samples that showed symptoms of infection, analysis of disease symptoms, and analysis of disease resistance levels. The results showed that the response of the native orchid at Liwa Botanical Garden to fungal infections was showed symptoms of wilting in the leaves, namely in the orchids Eria sp., Dendrobium sp., and Cymbidium sp. turns black on the edge of the leaf, Thrixspermum sp. The type of orchid most commonly infected with fungus is Cymbidium sp. a total of 8 samples, and Thrixspermum sp. 3 samples, Eria sp. as many as 4 samples, Dendrobium sp. and Calanthe triplicata as many as 6 samples. The type of native orchid that is most susceptible to fungal infections is Dendrobium sp. and Eria sp. with disease intensity of 74.11% and 22.3%. The results of this activity are expected to be basic information in efforts to protect plants against diseases to support the application of conservation of native orchids on Liwa Botanical Garden.
Co-Authors Abda Abda Admi Syarif Agus Rahardi, Agus Alhuda Niftakul Ahyar Alir, Rahmat Fajrin Amanto Amanto Amanto Amanto Amnah, Alifah Zul Amrani, Alfina Anbiya, Lulu Anggi Anggreiny Apriyanti, Della Arie Setya Putra Armalia, Inayah Arsitalia, Metari Asadudin, David Asmanto, Budi Asriah Nurdini M. Asrini Puspitasari Aviva Indira Putri Bambang Irawan Bambang Irawan /E21207042 Budi Setiadi Daryono Budi Setiadi Daryono BUDI SETIADI DARYONO Chrisnawati , Lili Cut Muthiadin Della Apriyanti Derlian Ella Tamara Desti Deria Rahmadani Dian Alfiah Dian Alfiah Dwi Septiani Eka Nuraini Tohari Endah Susiyanti Endang Nurcahyani Endang Nurcahyani Eti Ernawati Eti Ernawiati Eti Ernawiati Eti Ernawiati Fachry Abda El Rahman Fadhilla, Nurul Fania Nur Izzati Fania Nur Izzati Fiska Humaizah Hajrah Hajrah, Hajrah Harfiani, Nabela H.N. Hasriadi Mat Akin Hasti Maulidya Fassya Heni Erlita Sari Heni Erlita Sari Heningtyas, Yunda Heri Satria Heri Satria Herlanda, Kishy Dhea Hermawan, Isna Ainun Ikhwan Ismail Insani, Mutiara Intan Poespita Windiyani Irni Yuni Minarni Ismail, Ikhwan Isna Rasdianah Aziz Istiqomah Kamisah Delilawati Pandiangan Kamisah Delilawati Pandiangan Kendari, Putri Kenedi, M Kishy Dhea Herlanda Krisna Rendi Awalludin Kurnia Muludi Leni Agustin Lili Chrisnawati Lili Chrisnawati, Lili Lis Andriani Lulu Anbiya Lulut Dwi Sulistyaningsih M Said Hasibuan M. Yogi Riyantama Isjoni Mai Sari Mailinda Angraeni Marinda Sari Sofiyana Marjunus, Roniyus Maulidya Ananda Metari Arsitalia Mitha Valentina Treesya Panjaitan Mitha Valentina Treesya Panjaitan Mochammad Imron Awalludin Muhammad Febriansyah Muhammad Irfan Ardiansyah Muhammad Khalifah Mustami Muslimin Muslimin Nisar Zaidal Nur Qolbi, Hana Nurcayani, Endang Nurul Fadhilla Putri Kendari Raden Mohamad Herdian Bhakti Rahmadani, Desti Deria Rochmah Agustina Rochmah Agustrina Rochmah Agustrina RR. Ella Evrita Hestiandari Sahira Josy Arifannisa Salsabila, Diana Sarah Sarah Sari, Heni Erlita Sari, Mai Sari, V. Dwi Anggita Sembiring, Rinawati Siswahyudianto Siti Zubaidah Sri Ratna Sulistiyanti Sri Wahyuningsih Sri Wahyuningsih Sri Wahyuningsih Sri Wahyuningsih Sri Wahyuningsih Suhara, . Sukamto, Ika Sumiyarsi Sukimin Sukimin Sukimin Sukimin Sukimin Sukimin Sukimin Sukimin Suryafly, Fanny Dhea Susamto Somowiyarjo Susamto Somowiyarjo Susiyanti, Endah Syamsiar, Syamsiar Tengku Riza Zarzani N Tri Joko Tundjung Tripeni Handayani Tundjung Tripeni Handayani Tundjung Tripeni Handayani Tundjung Tripeni Handayani Tundjung Tripeni Handayani Tundjung Tripeni Handayani Tundjung Tripeni Handayani Tundjung Tripeni Handayani Tundjung Tripeni Handayani Tundjung Tripeni Handayani, Tundjung Tripeni Umur, Khoirul Upreti, Brij Mohan Valentina Dwi Anggita Sari Veronica Elizabeth Sijabat WAHYUDI Wandono, Petrus Tri Aji Widi Aryani WOLLY CANDRAMILA Yulia, Yulia Rahma Syari Yulianty Yulianty Yulianty Yulianty Yulianty Yulianty Yulianty Yulianty Yulianty Zelfi Julita Dwi Putri