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All Journal Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter Jurnal Online Mahasiswa (JOM) Bidang Ilmu Hukum Proceeding International Conference on Information Technology and Business Jurnal Promosi Pendidikan Ekonomi JOURNAL OF EDUCATION SCIENCE Jurnal Ilmiah Mahasiswa Pendidikan Seni, Drama, Tari & Musik Jurnal Ilmiah Mahasiswa Pendidikan Jasmani, Kesehatan dan Rekreasi PADJADJARAN Jurnal Ilmu Hukum (Journal of Law) Jendela Olahraga ETERNAL: English Teaching Journal JPKMI (Jurnal Publikasi Kesehatan Masyarakat Indonesia) Ilmu Gizi Indonesia Jurnal Geografi Agregat: Jurnal Ekonomi dan Bisnis JASc (Journal of Agribusiness Sciences) Jurnal JUMPED (Jurnal Manajemen Pendidikan) JURNAL ILMIAH INFORMATIKA Jurnal Pertanian Agros Jurnal Ilmiah Mahasiswa Bidang Hukum Pidana WAJAH HUKUM JKM (Jurnal Kebidanan Malahayati) Jurnal Riset Manajemen Bisnis dan Publik Psikoislamedia : Jurnal Psikologi Jurnal Sains dan Teknologi Reaksi Agrotechnology Research Journal Placentum: Jurnal Ilmiah Kesehatan dan Aplikasinya Equalita: Jurnal Studi Gender dan Anak Jurnal Akuntansi, Manajemen dan Bisnis Digital Sisi Lain Realita Prosiding Seminar Nasional Universitas Serambi Mekkah Jutek JAGO Jurnal Sains dan Kesehatan Tabayyun Jurnal Riset Akuntansi International Journal of Management Research and Economics Jurnal Pengabdian Masyarakat Indonesia Sejahtera International Journal of Economics, Commerce, and Management
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Journal : Proceeding International Conference on Information Technology and Business

DESIGNING ANDROID-BASED LED TELEVISION FOR DETECTING DAMAGE USING FORWARD-CHAINING METHOD Imam Fatoni; Fitria Fitria
Prosiding International conference on Information Technology and Business (ICITB) 2020: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 6
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

LED television (Light Emitting Diode) was the digital display technology that generated images on a flat surface with a lighting system through LED backlight technology. In terms of quality and technology, LED television was also highly developed because LED television was free from damage. The problem statement of this study was that detecting damage on LED television was not easy for newly-experienced technicians e.g., vocational students and apprentices who had just finished the training on television reparation at Al- Mubarok Electronic Service. It was because of a lack of their knowledge and experience in detecting damage to LED televisions so that they needed a system for consulting the experienced technicians and the training spots. The system was built through Expert System Application by using the Forward Chaining method that was able to interfere the engine uses – the user-defined information to move to AND and OR logic – until an object was determined. All rules must be met so that an object was achieved. This system was made through Android so that it was able to be used anytime and anywhere. The result of this study was the implementation of the LED television damage detection system using the Forward Chaining method. It was expected that the system or application that had been created provided convenience in the initial detection process for technicians or users.Keywords: LED Television, Expert System, Forward Chaining, Android
Marketing Strategy in the Development of Agricultural Product Based on Artificial Intelligent Tomy Adi Pratama; Achmad Surya Nugraha; Fitria Fitria
Prosiding International conference on Information Technology and Business (ICITB) 2023: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 9
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

The next generation of information technology, embodied by big data technology, is developing so quickly that agricultural product production and marketing information services will follow a trend toward intelligent marketing of agricultural products based on big data technology. The purpose of this research is to examine Marketing Strategy in the Development of Agricultural Product based on Artificial Intelligent. The method employed in this research is a literature review conducted utilizing an online search methodology for national and international scientific journal articles on multiple journal search engines such as Google Scholar, Science Direct, and the Elsevier journals. The results show that Smart agricultural product marketing based on big data technology, a new wave of rapidly evolving information technology will be the development trend for agricultural product production and marketing information services. These methods need to be further improved as a result. The development, marketing, and distribution activities of agricultural product operators have started to use artificial intelligence (AI). Keywords: Marketing Strategy, Agricultural Product, Artificial Intelligent
Co-Authors Achmad Surya Nugraha Aida Safitri Aisar Novita Akhmad Faizal Rahman Anang Walian Andi Agus Suprianto Anindya Wulan Anizar Ahmad Arie Hapsani Hasan Basri Asnita Sinaga Azhar Azhar Bintang Indragiri Davit Rahmadan Devia Lestari Dian Rosadi Dyah Nugrahani Elita Rahmi Epa Arnas Eri Triharyati Esitra Esitra Evi Dianti Bintari Farah Firda Azkia Febriana Sari Fitri Lestari Fitriana Fitriana Hadi Wijoyo Hadrianti H.D. Lasari Hafni A. Hakiman Thamrin Hamidah Hamidah Hardi Mulyono Hartarti Hartarti Hasnah Faizah AR Helena Olivia Herawati Herawati Herna Rinayanti Manurung Hilda Julia Imam Fatoni Irma Idayati Ismawan Ismawan Juliana Tanjung Karimuddin Karimuddin Khafifah Widya Maharani Koko Tampubolon Lidya Natalia Sinuhaji Luthfiyyah Ananda Putri M.Daffa Naufalsyah Maksalmina Maksalmina Mawaddah Muthia Amanda Mayada Fahrina Maylia Ayu Nurvarindra mbina pinem Melvia Tri Yunita Mohd. Hefzan Monika Handayani, Monika Muh.Rizki Muhammad Jafar Muhammad Kevin Naufal Sakti Mukhtar Yusuf Mutia Rahmawati Nadia Puteri Utami Noor Ahda Fadillah Noor Salsabila Novinta Deva Dwitami Nuhardin, Irhamni Qonaah Ulfa Nurrahmah Ramdiana Ramdiana RETNO WAHYUNI Ridiani Maulia Rini Susanti Risnawati Risnawati Rita Nengsih Rizanizarli Rizanizarli Rudi Fakhriyadi Septiani, Mimin Seri Widiyana Setia Azzahra Rizkina Silvia Nora, Silvia Siti Nordahliawate Mohamed Sidique Suci Tiara Pertiwi Sufitrayati Sufitrayati Sukamto Satoto Suryani Suryani Suyadi Suyadi Syafitasari, Juanda Syamsul Amar B Teuku Rihayat Tia Oktiani Tika Rahmawina Tomy Adi Pratama Vera D. Mulia Welis Raldianingrat Widya Asih Lestari Yurizka Ramadhanti Zenitha Maulida