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All Journal Jurnal Algoritma Jurnal PkM MIFTEK Jurnal Algoritma
Nugraha, Insan Satia
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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 Kerusakan Motor Injeksi Matic Menggunakan Forward Chaining dan Expert System Development Nugraha, Insan Satia; Agustin, Yoga Handoko; Rahayu, Raden Erwin Gunadi
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.21-1.1493

Abstract

Technological progress at this time is extremely rapid in the field of transportation, one of which is automatic injection motorbikes, for automatic injection motorbikes there are definitely obstacles or problems in reducing the performance of ordinary motorbikes. In this case, many automatic injection motorbikes go to the Ahass Fahya Jaya Motor workshop, in This problem should be done with simple checks, such as checking the spark plug, checking the battery and etc. In checking small things, the author has created a professional system application by providing the knowledge of experienced experts and has received a certificate from Ahass, anticipating that this application may be useful for readers or users of the application. In making this expert system application there are several features, one of which can be accessed by the admin with a certain code, later the user will enter the full name, email and motorbike series, the administrator can change the symptoms of damage, change the solution and also add application knowledge. Based on these problems, we obtained a knowledge base of 20 damage data and 23 symptoms obtained from visits to Ahass Fahri Jaya Motor. Selecting the forward chaining method can efficiently produce solutions by combining existing knowledge rules and known facts. Meanwhile, choosing the Expert System Development Life Cycle methodology for expert systems can be carried out in a more structured, efficient and effective manner. This methodology helps in producing high quality, accurate and reliable expert systems in supporting decision making in a particular domain. Based on user testing or at the usability testing stage, it has an accuracy value of 95% from the 26 automatic injection motor damage diagnosis test data carried out.
Pengembangan Sistem Pakar Diagnosa Kerusakan Motor Injeksi Matic Menggunakan Forward Chaining dan Expert System Development Nugraha, Insan Satia; Agustin, Yoga Handoko; Rahayu, Raden Erwin Gunadi
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.21-1.1493

Abstract

Technological progress at this time is extremely rapid in the field of transportation, one of which is automatic injection motorbikes, for automatic injection motorbikes there are definitely obstacles or problems in reducing the performance of ordinary motorbikes. In this case, many automatic injection motorbikes go to the Ahass Fahya Jaya Motor workshop, in This problem should be done with simple checks, such as checking the spark plug, checking the battery and etc. In checking small things, the author has created a professional system application by providing the knowledge of experienced experts and has received a certificate from Ahass, anticipating that this application may be useful for readers or users of the application. In making this expert system application there are several features, one of which can be accessed by the admin with a certain code, later the user will enter the full name, email and motorbike series, the administrator can change the symptoms of damage, change the solution and also add application knowledge. Based on these problems, we obtained a knowledge base of 20 damage data and 23 symptoms obtained from visits to Ahass Fahri Jaya Motor. Selecting the forward chaining method can efficiently produce solutions by combining existing knowledge rules and known facts. Meanwhile, choosing the Expert System Development Life Cycle methodology for expert systems can be carried out in a more structured, efficient and effective manner. This methodology helps in producing high quality, accurate and reliable expert systems in supporting decision making in a particular domain. Based on user testing or at the usability testing stage, it has an accuracy value of 95% from the 26 automatic injection motor damage diagnosis test data carried out.
KEGIATAN KULIAH KERJA NYATA DARING UPAYA PENINGKATAN LITERASI DIGITAL WARGA KOMUNITAS MAYA DESA WANAKERTA GARUT MASA PANDEMI COVID-19 Fauji, Farhan; Rachman, Andri Mochamad; Gunawan, Abidirvan Barkah; Hasanah, Eka Halimatul; Ardariska, Hilda Putri; Nugraha, Insan Satia; Karbila, Muhammad Fajri; Rahadian, Reza; Firdaus, Raihan; Supriatna, Asep Deddy
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.2-2.1265

Abstract

Ditahun 2021 ini, Pandemi Covid-19 sangat berdampak pada interaksi sosial di dunia nyata, namun sifat adaptif dan perkembangan teknologi informasi dan komunikasi membuat manusia menemukan jalan interaksi sosial alternatifnya di dunia maya. Komunitas maya seperti grup WhatsApp menyediakan interaksi sosial dimana setiap orang dapat memenuhi kebutuhan serta mencapai tujuan yang diinginkannya dengan membuat atau bergabung dengan komunitasnya dan menata kebijakan untuk menata interaksi orang di dalamnya. Seperti yang kita tahu, saat ini Kabupaten Garut mengalami kasus outbreak, yakni peningkatan angka kasus Covid-19 yang lebih dari biasanya, dalam hal ini menyebabkan pemerintah melakukan pembatasan kegiatan yang lebih ketat lagi. Disini lain, Institut Teknologi Garut tetap harus melaksanakan pembelajaran pengabdian kepada masyarakat bagi mahasiswa program sarjana sebagai pemenuhan Kurikulum atau Standar Nasional Pendidikan Tinggi. Maka dari itu, Institut Teknologi Garut menyelenggarakan pembelajaran dalam bentuk KKN (Kuliah Kerja Nyata) Daring Masa Pandemi Covid-19 dengan tema “Pengabdian Kepada Komunitas Maya”, dengan tujuan untuk memenuhi minat atau kebutuhan warga komunitas maya yang selaras dengan bidang ilmu menggunakan ilmu pengetahuan dan teknologi yang relevan. Berhubung keadaan yang tidak memungkinkan untuk melakukan pembelajaran secara luring, maka dari itu metode pembelajaran akan dilakukan secara daring, dalam bentuk webinar. Adapun, setelah beberapa survey di tempat KKN yaitu Desa Wanakerta, Kec.Cibatu ”“ Garut. Muncul beberapa masukkan terkait rendahnya literasi digital di daerah tersebut, untuk itu program kerja yang akan dilaksanakan antara lain : Webinar Daring dengan tema “Pentingnya Literasi Digital di Masa Pandemi” dengan tujuan meningkatkan pengetahuan terkait literasi digital di masa pandemi ini. Diharapkan setelah webinar daring ini berlaksanakan dapat membantu warga komunitas maya khususnya di Desa Wanakerta, Kec.Cibatu ”“ Garut, umumnya untuk kita semua, dalam menyikapi pentingnya literasi digital di masa pendemi saat ini.
Co-Authors Ardariska, Hilda Putri Asep Deddy Supriatna Fauji, Farhan Firdaus, Raihan Gunawan, Abidirvan Barkah Hasanah, Eka Halimatul Karbila, Muhammad Fajri Rachman, Andri Mochamad Rahadian, Reza Rahayu, Raden Erwin Gunadi Yoga Handoko Agustin