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All Journal JURNAL HAMA DAN PENYAKIT TUMBUHAN TROPIKA JRST (Jurnal Riset Sains dan Teknologi) IJEMS (Indonesian Journal of Environmental Management and Sustainability) Indonesian Journal of Earth Sciences Jurnal Geologi dan Sumberdaya Mineral (Journal of Geology and Mineral Resources) International Journal of Management and Digital Business Jurnal Teknik AMATA Wallacea Plant Protection Journal
Junaid, Muhammad
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Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Public Health Social Sciences

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The role of bacterial consortium as bioactivator to stimulate production and suppress grain rot disease and bacterial leaf blight in rice Sahlan, Fadyah Khamila; Ayu Eka, Nur Fadhillah; Junaid, Muhammad; Hardina, Nur; Nurmujahidin; Kuswinanti, Tutik; Patandjengi, Baharuddin
Jurnal Hama dan Penyakit Tumbuhan Tropika Vol. 23 No. 2 (2023): 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.22365-70

Abstract

Burkholderia glumae and Xanthomonas oryzae pv. oryzae are the primary causes of bacterial disease in rice, capable of reducing production and posing a threat to food availability. This research aims to assess the efficacy of a consortium of five bacteria contained in Mikrobat as bioactivators. The goal is to enhance rice yields, mitigate the severity, and suppress grain rot disease and bacterial leaf blight in rice. The research employed a split-plot design encompassing 12 treatment combinations replicated three times. The experimental setup involved two factors: the main plot consisted of rice varieties-Ciherang, Inpari 4, and Trisakti-while the subplots represented types of bioactivators-Mikrobat, EM4, Trichoderma asperellum, and a control. Results demonstrated Mikrobat’s positive impact compared to the control, with an average of 17.37 productive tillers and higher yields than other bioactivator treatments. Notably, Mikrobat exhibited 50.04% spikelets per panicle and a 1000-grain weight of 19.77 g. The severity of disease with Mikrobat treatment was notably lower than with EM4 and T. asperellum, featuring 4.20% for grain rot disease and 4.41% for bacterial leaf blight. This was significantly different from the control, which showed severity rates of 9.94% for grain rot disease and 7.75% for bacterial leaf blight. Among the three tested varieties, Ciherang demonstrated the best response, displaying higher resistance to both tested diseases. The varietal treatments did not significantly differ from each other. Although Mikrobat’s effects were not significantly distinct from EM4 and T. asperellum, its usage still reduced the severity and suppression of grain rot and leaf blight diseases
Assessing Tsunami Impacts and Enhancing Disaster Response in Tirtayasa Banten through High-Resolution Satellite Imagery Junaid, Muhammad; Wibowo, Adi
Indonesian Journal of Earth Sciences Vol. 4 No. 2 (2024): July-December
Publisher : MO.RI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52562/injoes.2024.1045

Abstract

In December 2018, the coastal town of Tirtayasa, Banten, suffered severe damage from a tsunami, leaving the area highly vulnerable to future disasters. This research assesses the tsunami’s impact, thoroughly evaluating damage to infrastructure and vegetation using high-resolution satellite imagery. By comparing pre- and post-tsunami images, we quantitatively measure resilience and devastation, documenting significant landscape changes to better understand the extent of damage and identify resilient areas. These insights are critical for developing effective disaster response plans. The study employs advanced geospatial analytic techniques, demonstrating how satellite imagery enhances disaster preparedness and management by enabling prompt and accurate assessments, which are essential for both emergency response and long-term recovery planning. Integrating satellite-based remote monitoring into standard disaster management practices offers substantial advantages, improving the preparedness and response capabilities of vulnerable areas. This research highlights the importance of advanced change detection techniques to improve the accuracy of impact assessments and foster the development of targeted measures to mitigate the effects of future natural disasters.
Land Suitability Assessment for Sustainable Settlement in Serang Regency, Banten Province Junaid, Muhammad; Anggara, Rifnaldi Bergas; Nagara, Rakyan Paksi; Wibowo, Adi
Indonesian Journal of Environmental Management and Sustainability Vol. 8 No. 3 (2024): September
Publisher : Magister Program of Material Science, Graduate School of Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/ijems.2024.8.3.118-125

Abstract

Urbanization is the result of persistent population increase, which turns formerly agrarian areas into industrial and service-based hubs. This change prompts concerns about environmental degradation, including flooding, declining agricultural output, and air pollution, as well as a rise in demand for residential real estate, a limited resource. Goal 11 of the Sustainable Development Agenda, ”Building Inclusive, Safe, Resilient, and Sustainable Cities and Communities” addresses these problems. However, a comprehensive LSA incorporating local climate aspects has not been conducted for Serang Regency, an area with significant population growth and diverse land characteristics. This study aims to map the spatial distribution of suitable residential land in Serang Regency; evaluate the suitability of current residential areas; and assess the alignment of settlement plans with suitability criteria in the spatial plan. Findings reveal that 65.5% of Serang Regency is suitable for residential use, while 32% is unsuitable. Currently, 71.2% of settlements are in suitable areas, and 28.2% are in unsuitable ones. Future settlement plans show 90.7% alignment with suitable areas. These results indicate that, while spatial planning in Serang Regency has generally guided appropriate residential development, some areas still require attention for sustainability. This study provides valuable insights for policymakers aiming to foster sustainable, safe, and comfortable living environments.
Analisis Spasial-Temporal Kerugian Perumahan Akibat Likuifaksi (Studi Kasus Gempa Palu Tahun 2018 di Balaroa, Petobo, dan Jono Oge) Junaid, Muhammad; Adi Wibowo
Jurnal Geologi dan Sumberdaya Mineral Vol. 26 No. 1 (2025): JURNAL GEOLOGI DAN SUMBERDAYA MINERAL
Publisher : Pusat Survei Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33332/jgsm.geologi.v26i1.887

Abstract

Gempa Palu tahun 2018 menyebabkan kerusakan parah pada wilayah metropolitan yang padat penduduk, karena ukurannya yang merusak dan tingginya kerentanan lokasi ini terhadap gangguan seismik. Fenomena ini telah banyak diteliti, dan para peneliti secara umum sepakat bahwa solusi perumahan yang tangguh dan integrasi teknologi geospasial mutakhir ke dalam pekerjaan manajemen bencana sangat penting. Tujuan Penelitian ini adalah memperkirakan jumlah penduduk terken dampak likuifaksi dengan data Google Earth. Metode yang digunakan adalah OBIA (Object Base Interpretation Analysis) yaitu mendeteksi bangunan rumah yang ada sebelum hilang akibat likuifaksi, kemudian menghitung jumlah penduduk dari jumlah bangunan yang hilang. Hasil temuan penelitian ini mengungkapkan kerugian perumahan yang signifikan di ketiga wilayah karena likuifaksi. Ketiga wilayah itu adalah Balaroa, Petobo dan Jono Oge. Petobo adalah wilayah yang mengalami perpindahan penduduk yang sangat mencolok. Hasil penelitian dapat memberikan uraian terperinci secara spasial tentang dampak likuifaksi pada area permukiman agar selanjutnya lingkungan perkotaan dapat beradaptasi terhadap peristiwa seismik. Hasil penelitian ini juga menujukkan bahwa perlu adanya integrasi langkah-langkah perencanaan perkotaan yang komprehensif. Sebagai kesimpulan, penelitian ini menggarisbawahi pentingnya strategi jangka pendek dan jangka panjang dalam manajemen bencana dan perencanaan perkotaan, yang menganjurkan pendekatan kolaboratif untuk membangun lanskap perkotaan yang tangguh, terutama di daerah yang rawan gempa bumi. Arah penelitian di masa mendatang disarankan, fokus pada penilaian kualitatif dan pengembangan kebijakan untuk meningkatkan infrastruktur yang tahan gempa. Kata kunci: Data Google Earth, dampak likuifaksi, analisis spasial, kehilangan rumah, perpindahan penduduk
Spatial Analysis of Landscape Change in the Puncak Bogor Cianjur Tourism Area 2013-2023 Prasetya, Ferdian Adhy; Purwaningsih, Yuli; Nagara, Rakyan Paksi; Raditia, Mohammad; Junaid, Muhammad; Kusratmoko, Eko
JRST (Jurnal Riset Sains dan Teknologi) Volume 9 No. 1 Maret 2025: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v9i1.22661

Abstract

This research analyzes the dynamics of land cover change in the Puncak Area over the last 10-year period (2013-2023). Using the Random Forest Classification method on Landsat 8 and 9 image data, this study evaluates the contribution of tourism to the economy of the Puncak Region and reveals facts related to land use change. The Puncak area, known as a mountain tourism destination in West Java, is experiencing rapid economic growth, but tourism activities and infrastructure development have the potential to negatively impact local ecosystems. The research used BIG administrative data, Landsat imagery, and landform systems for analysis. Through Google Earth Engine (GEE), data processing was performed, including cloud masking, mosaic, clip, and pan-sharpening. The Random Forest classification method was used to determine land cover in 2013 and 2023 with kappa accuracy tests reaching 85.81% and 88.42% respectively. The results show an increase in built-up land area of 4,632.68 hectares with a decrease in agricultural and forest land. Obstacles in the interpretation of low-resolution Landsat imagery became one of the challenges in this study. The Urban Expansion Intensity Index (UEII) calculation results show a moderate increase in built-up land area over the past 10 years. The phenomenon of urbanization and the drive of economy and tourism are the main factors of land change from vegetation cover to built-up land. This study provides important insights for the regulation and monitoring of the Puncak Area to maintain a balance between economic growth and environmental sustainability.
SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN PANGAN NON TUNAI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Suherwin; Junaid, Muhammad
Jurnal Teknik AMATA Vol. 6 No. 1 (2025)
Publisher : Politeknik Amamapare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55334/jtam.v6i1.325

Abstract

BNPT dimaksudkan pada upaya membangun sistem perlindungan (keberdayaan pangan) sosial kepada masyarakat miskin. Dengan hadirnya program ini, membantu masyarakatmiskin yang rawan pangan, agar mendapatkan bahan pangan untuk kebutuhanrumah tangga. Untuk merekomendasikan penerima bantuan sosial tentunya perlu dataterkait pendapatan harian atau pendapatan bulanan para calon penerima. Hal tersebut diperlukan untuk meminimalisir kurang tepatnya sasaran para penerima bantuan sosial dan mencegah terjadinya kesenjangan dan kecemburuan sosial. Dari berbagai metode yang ada dan dapat digunakan dalam sistem pendukung keputusan, pada penelitian ini akan menggunakan metode Simple Additive Weighting (SAW) dapat diartikan sebagai metode penjumlahan sederhana atau pembobotan sederhana dalam menyelesaikan masalah dari sebuah sistem pendukung keputusan. Dengan kata lain, metode ini akan mencari rating kinerja (skala prioritas) pada setiap alternatif di semua atribut. Untuk mengatasi tantangan ini, diperlukan perbaikan pada kriteria penerima manfaat, peningkatan transparansi dalam proses verifikasi, penguatan sosialisasi dan edukasi, serta peningkatan kapasitas petugas. Selain itu, pemanfaatan teknologi informasi, seperti yang diusulkan dalam pengembangan sistem pendukung keputusan (SPK) dengan metode Simple Additive Weighting (SAW), dapat menjadi solusi yang efektif untuk meningkatkan ketepatan sasaran dan efisiensi penyaluran bantuan.
The Determinants of Individual Taxpayer Compliance at KPP Pratama Tarakan Junaid, Muhammad
International Journal of Management and Digital Business Vol. 2 No. 1 (2023)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijmdb.v2i1.516

Abstract

Based on data from the Performance Report of the Directorate General of Taxes of the Ministry of Finance, up to 2021 shows unsatisfactory results. In addition to fluctuating, taxpayer compliance also never reaches the target that has been set. From this background it is important to further examine the attitude of the tax authorities, tax socialization, and taxpayer knowledge of taxpayer compliance.This study uses a quantitative approach to answer these problems using primary data in the form of a questionnaire. The population in this study are all taxpayers who are registered at KPP Pratama Tarakan. The number of questionnaires distributed in this study were 110 questionnaires distributed within the scope of the Tarakan Primary KPP. However, after going through the questionnaire collection stage, only 100 questionnaires were obtained that could be processed. Before conducting data analysis, the researcher conducted validity and reliability tests on 100 respondents to show how far the questionnaire was reliable and reliable. The data analysis technique used in this research is multiple regression analysis techniqueThe results of testing the hypothesis in this study indicate that the attitude of the tax authorities, tax socialization, and taxpayer knowledge have a positive and significant effect on taxpayer compliance.
Laboratory assessment of the consumption rate of Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) on a mung bean (Vigna radiata)-based artificial diet Sulaeha, Sulaeha; Uleng, Andi Nadya Tenri; Junaid, Muhammad
Wallacea Plant Protection Journal Vol. 1 No. 1 (2025)
Publisher : Department of Plant Pest and Diseases, Faculty of Agriculture, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64128/wppj.v1i1.42067

Abstract

Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) is an invasive pest in Indonesia. Therefore, limited insect stock is a limiting factor for researchers. The aim of this research rearing insects with mung bean-based as a protein source to modify the composition of the artificial diet. The parameters observed in this research were larva period, larval survival rate, pupal size, sex ratio, pupal-stage longevity, pupal survival rate, fecundity, and nutritional index. The results showed that an artificial diet with mung bean had a significant effect on sex ratio, pupal survival rate, efficiency of conversion of ingestion (ECI) food, efficiency of conversion digested (ECD) food, approximate digestibility (AD) 96,54% 4th instar; 95.45% 5th instar: 88,35% 6th instar, fecundity 307,14 eggs/female, pupal period and significant effect on larval period though instars are longer. Artificial diet-based mung bean had high potential for use in S. frugiperda rearing.
Global trend of agricultural precision for plant pathology: Bibliometric study in Scopus database Junaid, Muhammad; Taib, Nurlaila S.; Sukmawati, Sukmawati; Zabrina, Gita
Wallacea Plant Protection Journal Vol. 1 No. 1 (2025)
Publisher : Department of Plant Pest and Diseases, Faculty of Agriculture, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64128/wppj.v1i1.42069

Abstract

This bibliometric study investigates the global trends in agricultural precision within plant pathology, utilizing data from the Scopus database. This research identifies key research hubs, influential authors, and emerging themes in the domain by analyzing publication patterns, citation metrics, and keyword co-occurrence. The study highlights the increasing integration of advanced technologies such as remote sensing, machine learning, and big data analytics in plant pathology research. The findings underscore the growing emphasis on precision agriculture to enhance disease detection, management, and crop productivity. This comprehensive analysis provides valuable insights for researchers, policymakers, and practitioners aiming to leverage technological advancements for sustainable agricultural practices.
Co-Authors Adi Wibowo Anggara, Rifnaldi Bergas Ayu Eka, Nur Fadhillah Baharuddin Patandjengi Eko Kusratmoko Nur Hardina Nurmujahidin Prasetya, Ferdian Adhy Purwaningsih, Yuli Raditia, Mohammad Rakyan Paksi Nagara Sahlan, Fadyah Khamila Suherwin Sukmawati Sukmawati Sulaeha Sulaeha, Sulaeha Taib, Nurlaila S. Tutik Kuswinanti Uleng, Andi Nadya Tenri Zabrina, Gita