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All Journal Jurnal Algoritma Jurnal PkM MIFTEK Jurnal Algoritma
Nurhalim, Ahmad
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Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Pengembangan Sistem Pakar Diagnosa Penyakit Kubis Berbasis Forward Chaining Septiana, Yosep; Barwardono, Wiyoga; Nurhalim, Ahmad
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1438

Abstract

Diseases that often attack cabbage plants such as soft rot, black rot, stem rot, crop worms, ground worms, leaf spot, leaf caterpillars and clubroot often occur, making it difficult for farmers to identify the disease. Diseases in cabbage plants are often a factor that cabbage farmers often complain about and many still have difficulty in diagnosing diseases that attack cabbage plants. In addition, cabbage farmers often do not have adequate knowledge about the various types of diseases that can attack cabbage plants, so they often have difficulty choosing the right treatment strategy. The aim of this research is to develop an expert system for diagnosing cabbage diseases using the forward chaining method. To provide benefits for farmers or experts to identify diseases that attack cabbage from the symptoms experienced by the plants. This system was built using the forward chaining inference method and the design method used the rational unified process method, the stages starting from inception, elaboration, construction and transition. In connection with this problem, to simplify or obtain information about the symptoms that occur in cabbage. This research includes developing an expert system and diagnosing cabbage diseases from symptoms collected using the forward chaining method. It is hoped that this system can help farmers or agricultural experts in preventing diseases that can damage cabbage plants and can improve quality and production. Good. As a result of the research, an expert system for diagnosing cabbage diseases was created. This application was built for farmers to diagnose diseases in cabbage from the symptoms they experienced. With this system, it can provide forgiveness and knowledge for farmers.
Pengembangan Sistem Pakar Diagnosa Penyakit Kubis Berbasis Forward Chaining Septiana, Yosep; Barwardono, Wiyoga; Nurhalim, Ahmad
Jurnal Algoritma Vol 21 No 1 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-1.1438

Abstract

Diseases that often attack cabbage plants such as soft rot, black rot, stem rot, crop worms, ground worms, leaf spot, leaf caterpillars and clubroot often occur, making it difficult for farmers to identify the disease. Diseases in cabbage plants are often a factor that cabbage farmers often complain about and many still have difficulty in diagnosing diseases that attack cabbage plants. In addition, cabbage farmers often do not have adequate knowledge about the various types of diseases that can attack cabbage plants, so they often have difficulty choosing the right treatment strategy. The aim of this research is to develop an expert system for diagnosing cabbage diseases using the forward chaining method. To provide benefits for farmers or experts to identify diseases that attack cabbage from the symptoms experienced by the plants. This system was built using the forward chaining inference method and the design method used the rational unified process method, the stages starting from inception, elaboration, construction and transition. In connection with this problem, to simplify or obtain information about the symptoms that occur in cabbage. This research includes developing an expert system and diagnosing cabbage diseases from symptoms collected using the forward chaining method. It is hoped that this system can help farmers or agricultural experts in preventing diseases that can damage cabbage plants and can improve quality and production. Good. As a result of the research, an expert system for diagnosing cabbage diseases was created. This application was built for farmers to diagnose diseases in cabbage from the symptoms they experienced. With this system, it can provide forgiveness and knowledge for farmers.
Peningkatan Kapasitas Penggunaan Media Pembelajaran Daring di SMPN 1 Tarogong Kaler Garut Ramanda, Reza; Nurmahmudi, Raihan; W, Shantang Adhiimusyari; Fauzan, Zamzam Rizki; Nurhalim, Ahmad; Habib, Reza Hasnan; Maulana, Randi; Anwar, Deviliana Nabila; Komalasari, Iis; Ainun, Taanafa Nurul; Fatimah, Raden Dini Destiani Siti
Jurnal PkM MIFTEK Vol 2 No 2 (2021): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.2-2.1122

Abstract

Covid-19 yang sudah hampir 2 tahun berjalan berdampak kepada seluruh sektor tak terkecuali sektor Pendidikan, di mana pelaksanaan pembelajaran yang biasanya dilakukan tatap muka harus dilaksanakan secara daring sehingga menimbulkan banyak permasalahan. SMPN 1 Tarogong Kaler Garut salah satu sekolah yang menghadapi masalah karena pembelajaran daring. Tujuan dari pelaksanaan Kuliah Kerja Nyata Komunitas Maya Informatika 4 ini adalah untuk memberikan bantuan berupa pelayanan kepada masyarakat khususnya di lingkungan SMPN 1 Tarogong Kaler untuk mengurangi permasalahan dengan memberikan materi dan pelatihan teknologi yang digunakan dalam pembelajaran. Metode yang dipakai berupa penyampaian materi dan pelatihan melalui webinar, serta pre test & post test sebagai bahan evaluasi. Hasil akhir kegiatan ini menunjukan adanya peningkatan pengetahuan mengenai media teknologi untuk mendukung pembelajaran daring di masa pandemi.
Co-Authors Ainun, Taanafa Nurul Anwar, Deviliana Nabila Barwardono, Wiyoga Fatimah, Raden Dini Destiani Siti Fauzan, Zamzam Rizki Habib, Reza Hasnan Komalasari, Iis Maulana, Randi Nurmahmudi, Raihan Reza Ramanda W, Shantang Adhiimusyari Yosep Septiana