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All Journal Jurnal Biologi Tropis Jurnal Kridatama Sains dan Teknologi Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Pengabdian Masyarakat Nusantara
Goda, Karina Dhena
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Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Immunology & microbiology Industrial & Manufacturing Engineering Social Sciences

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Forward Chaining Method in Expert System for Diagnosing Pests and Plant Diseases: A Systematic Literature Review Goda, Karina Dhena; Bay, Jenny Ronawati
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 3 (2024): June 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i3.535

Abstract

Pest and disease attacks on plants are very detrimental factors for farmers. Lack of knowledge leads to a difficult diagnosis of attacks and slow control. The technology that can help farmers in diagnosing plant pests and diseases is the expert system. One of the most widely used algorithms is forward chaining. Although there have been many used further research is needed to determine the effectiveness of this method. This research wants to find out more advantages, types of platforms used, and benefits of expert systems with forward chaining algorithms. This study uses a systematic method literature review (SLR) to collect, assess, and analyze data systematically from various scientific articles. The results of the study show that the use of forward chaining has advantages and benefits for developers and farmers.
Kajian Pengembangan Internet of Things (IoT) pada Sektor Pertanian di Kabupaten Ngada, Nusa Tenggara Timur Goda, Karina Dhena; Neta, Agusto Del Piero Stein
JURNAL KRIDATAMA SAINS DAN TEKNOLOGI Vol 6 No 02 (2024): JURNAL KRIDATAMA SAINS DAN TEKNOLOGI
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v6i02.1233

Abstract

The Internet of Things (IoT) can significantly transform the agricultural sector by introducing various applications that help enhance efficiency, productivity, and sustainability in the agricultural sector of Ngada Regency. This research aims to examine the landscape of potential IoT development for implementation in the agricultural sector of Ngada Regency as well as to point out the possibilities and challenges of developing agricultural IoT in Ngada. This study is composed of comprehensive literature reviews and field observations. The results indicate that IoT applications already implemented in other regions also have great potential for development in Ngada. The availability of telecommunications network infrastructure, access to IoT hardware and software, government support for agricultural technology development, and human resources make IoT feasible to be implemented in Ngada Regency. This research is limited to examining the opportunities and challenges of IoT implementation, thus further research is needed on development strategies for small, medium, and large scales to assist in mapping the IoT development plan in Ngada. This research can serve as a reference for further studies on developing IoT-based agricultural system prototypes in Ngada
IMPLEMENTASI ALGORITMA FORWARD CHAINING PADA SISTEM PAKAR DIAGNOSA HAMA DAN PENYAKIT TANAMAN PISANG goda, Karina Dhena; Lea, Victoria Coo; Ule, Yuliana
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1683

Abstract

The management of banana pest and disease outbreaks in Ngada Regency since 2022 has been hindered by farmers' lack of knowledge about early detection of symptoms and the limited availability of agricultural extension workers, which accelerates the spread and increases losses in agricultural land. This study aims to develop a web-based expert system to assist farmers in diagnosing banana pests and diseases quickly and accurately. The research methods involved data collection through field observations, interviews with farmers and agricultural experts, and literature studies from relevant references. The system design employs the waterfall development model, which includes requirements analysis, system design, implementation, and testing. The knowledge base of the system is designed using the forward chaining algorithm with 9 types of diseases and 40 symptoms. Implementation results indicate that the system was successfully tested using the black-box method with a 100% success rate, while the usability and responsiveness aspects scored 98% based on user evaluations. In conclusion, the forward chaining algorithm serves as an effective methode to support the diagnosis of banana pests and diseases and to enhance farmers' knowledge, thereby reducing losses caused by pest and disease attacks.
Pelatihan Pembuatan Greenhouse dan Penanaman Sayur Pakcoy  Dalam Polybag Dengan Mengaplikasikan POC (Pupuk Organik Cair) dari Daun Gamal di Desa Wangka Kabupaten Ngada Ngaku, Maria Alfonsa; Goda, Karina Dhena; Abdullah, Indra; Bhoko, Maria Natalia; Siba, Yulianus Mario
Jurnal Pengabdian Masyarakat Nusantara Vol 4 No 2 (2025): Juni 2025
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/dimastara.v4i2.25222

Abstract

Kegiatan pelatihan ini bertujuan untuk meningkatkan keterampilan masyarakat dalam memanfaatkan lahan sempit melalui pembuatan greenhous (greenhouse sederhana) dan budidaya sayur pakcoy (Brassica rapa L.) dalam polybag. Pelatihan ini juga memperkenalkan penggunaan pupuk cair organik berbahan dasar daun gamal (Gliricidia sepium) sebagai alternatif pupuk ramah lingkungan. Metode pelatihan meliputi pemberian materi, demonstrasi pembuatan greenhous, serta praktik langsung penanaman dan pemupukan. Hasil kegiatan menunjukkan bahwa peserta mampu memahami dan mempraktikkan teknik yang diberikan, serta menunjukkan antusiasme terhadap penggunaan pupuk organik cair. Pelatihan ini diharapkan dapat menjadi solusi berkelanjutan dalam peningkatan ketahanan pangan rumah tangga dan pengelolaan lingkungan secara ekologis.
Effect of Trichoderma sp. on Fusarium Wilt Disease Infection in Banana Plants in Were III Village, Golewa Selatan Sub-District, Ngada District Lea, Victoria Coo; Noywuli, Nicolaus; Goda, Karina Dhena; Mite, Agnes L.; Limbu, Umbu N.
Jurnal Biologi Tropis Vol. 24 No. 1b (2024): Special Issue
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v24i1b.8088

Abstract

The Ngada Regency area is one of the producers of kapok bananas on Flores Island. However, there has been a decline in kapok banana production due to the attack of blood disease and fusarium wilt. Therefore, it is necessary to address this issue. Determining the effects of applying the biological agent Trichoderma sp. to control fusarium wilt disease in banana plants, comparing the effects of different banana varieties planted on farmer fields infected with the disease, and identifying banana varieties that can interact with the mixed biological agent Trichoderma sp. and organic materials to suppress fusarium wilt disease are the objectives of this study. This study used a factorial pattern Randomized Group Design (RAK) consisting of two factors, namely: Banana type factor (J) consists of 4 levels and the application of Trichoderma sp mixture (D) consists of 4 levels, namely the Banana Type factor (J), consists of 4 levels, namely: J1 = King Banana, J2 = Ambon Banana, J3 = Barangan Banana and J4 = Kepok Banana. A combination of Trichoderma sp and manure application (D) is the second element. There are four levels of this combination: D0 (no Trichoderma sp), D1 (200 gr in 4 kg of manure), D2 (200 gr in 8 kg of manure), and D3 (200 gr in 12 kg of manure). The findings demonstrated that the rate of Fusarium oxysporum wilt infection was significantly influenced by banana species. Compared to plantains and banana kepok, banana barangan and banana ambon are more resilient to the rate of infection with Fusarium wilt disease (Fusarium oxysporum). The combination dose of Trichoderma Sp with manure has a very significant effect on the intensity of Fusarium wilt disease attack (Fusarium oxysporum) and the combination of Trichoderma sp 200 grams with 4 kg of organic fertilizer is better than the other 3 doses.
Co-Authors Abdullah, Indra Bay, Jenny Ronawati Bhoko, Maria Natalia Limbu, Umbu N. Mite, Agnes L. Neta, Agusto Del Piero Stein Ngaku, Maria Alfonsa Noywuli, Nicolaus Siba, Yulianus Mario Ule, Yuliana Victoria Coo Lea