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All Journal Jurnal Buana Informatika Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Informatika dan Teknik Elektro Terapan Jurnal Khatulistiwa Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Sebatik Martabe : Jurnal Pengabdian Kepada Masyarakat Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Santika : Jurnal Ilmiah Sains dan Teknologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknologi Informatika dan Komputer Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Informatika Terpadu Indexia Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Journal of Practical Computer Science (JPCS) Prioritas : Jurnal Pengabdian Kepada Masyarakat Synergy : Jurnal Ilmiah Multidisiplin E-Amal: Jurnal Pengabdian Kepada Masyarakat JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Sistem Informasi (JASISFO)
Asriyanik .
Universitas Muhammadiyah Sukabumi, Sukabumi
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Journal : Jurnal Informatika dan Teknik Elektro Terapan

 1 
PENERAPAN UI/UX PADA SITUS TOKO KUE BUNDA AL MENGGUNAKAN METODE DESIGN THINKING MA Algifari Edward; Iwan Rizal Setiawan; Asriyanik Asriyanik
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i1.3600

Abstract

Abstract. Information and communication technology has developed very rapidly in various fields such as marketing and buying and selling. Technology that is often used by all groups, namely the internet, one of the uses of the internet is to search for information. According to a survey by the Association of Indonesian Internet Service Providers (APJII), around 78.19% or 215.6 million of Indonesia's population already use the Internet and use it for product marketing and buying and selling transactions. In the culinary industry, the use of Internet technology has a significant influence. Reports from Google and Temasek in 2023 show rapid growth in the e-commerce sector in Indonesia. The value of e-commerce transactions is predicted to reach 1,346 trillion rupiahs. In internet media as a means of marketing a product, not all culinary shops can take advantage of this, because of that a solution was made for creating a website that pays attention to users with the design thinking method. Making this cake shop website includes marketing products and providing information related to Bunda AL Cake Shop, the results of this research have been carried out on several respondents who have online shopping experience and several customers of Bunda AL Cake Shop. As a result of the respondents' experience in using the Bunda AL Cake Shop website, 7 out of 8 respondents liked the website appearance design and it was very easy to understand the information provided on the website.
PENERAPAN MODEL CONVOLUTIONAL NEURAL NETWORK (CNN) BERBASIS MOBILENETV2 UNTUK KLASIFIKASI TINGKAT KESEGARAN IKAN NILA Rambe, Sarah Syakira; Asriyanik, Asriyanik; Prajoko, Prajoko
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6744

Abstract

Ikan nila (Oreochromis niloticus) merupakan salah satu komoditas perikanan bernilai ekonomi tinggi yang banyak dikonsumsi masyarakat Indonesia. Namun, ikan termasuk produk mudah rusak jika tidak ditangani dengan baik. Tingkat kesegaran ikan menjadi parameter penting dalam penentuan mutu dan harga jual, tetapi penilaian secara manual cenderung subjektif. Penelitian ini bertuuan mengembangkan sistem otomatis untuk mendeteksi tingkat kesegaran ikan nila menggunakan metode Convolutional Neural Network (CNN) dengan pendekatan CRISP-DM. Dataset terdiri dari 6.889 citra mata, kulit, dan insang ikan nila yang diperoleh dari Kaggle dan sumber data pribadi. Pengolahan data meliputi resize, normalisasi, dan augmentasi citra. Model dibangun dengan arsitektur MobileNetV2, diikuti GlobalAveragePooling2D, dense layer, dan aktivasi sigmoid sebagai output layer. Pelatihan dilakukan dalam dua tahap, pretaining dan fine-tuning. Hasil menunjukkan akurasi sebesar 99,39% pada data latih dan 100% pada validasi di tahap pretraining, serta akurasi sebesar 99,36% pada data latih dan 100% pada validasi di tahap fine-tuning. Evaluasi menggunakan Confusion Matrix menghasilkan akurasi, presisi, recall, F1-Score sebesar 95% pada threshold 0.4. Model CNN yang dikembangkan terbukti efektif dan dapat digunakan sebagai sistem pendukung keputusan dalam penilaian mutu produk perikanan.
PENERAPAN UI/UX PADA SITUS TOKO KUE BUNDA AL MENGGUNAKAN METODE DESIGN THINKING Edward, MA Algifari; Setiawan, Iwan Rizal; Asriyanik, Asriyanik
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i1.3600

Abstract

Abstract. Information and communication technology has developed very rapidly in various fields such as marketing and buying and selling. Technology that is often used by all groups, namely the internet, one of the uses of the internet is to search for information. According to a survey by the Association of Indonesian Internet Service Providers (APJII), around 78.19% or 215.6 million of Indonesia's population already use the Internet and use it for product marketing and buying and selling transactions. In the culinary industry, the use of Internet technology has a significant influence. Reports from Google and Temasek in 2023 show rapid growth in the e-commerce sector in Indonesia. The value of e-commerce transactions is predicted to reach 1,346 trillion rupiahs. In internet media as a means of marketing a product, not all culinary shops can take advantage of this, because of that a solution was made for creating a website that pays attention to users with the design thinking method. Making this cake shop website includes marketing products and providing information related to Bunda AL Cake Shop, the results of this research have been carried out on several respondents who have online shopping experience and several customers of Bunda AL Cake Shop. As a result of the respondents' experience in using the Bunda AL Cake Shop website, 7 out of 8 respondents liked the website appearance design and it was very easy to understand the information provided on the website.
Co-Authors Abhista Hibatullah, Akbar Adi Sunarto, Asril Adiwijaya, Fahmi Adzkia, Hawarizmi Ummul Afiansyah, Rifan Agung Pambudi Agung Pambudi Akyas Hifdzi Rahman, Rifqi Alifatih, Auriel Haiqal Asep Budiman Kusdinar Asep M.Ramdan Asep Muhamad Ramdan Asril Adi Sunarto Azhilla Margiani Saraswati Budhy Adzy, Luthfy Budiman Kusdinar, Asep Dafa Satria Sidik, Muhamad Dang Kurniawan, Dito DANNY RAMADHAN Daris Riyadi Didik Indrayana Din Azwar Uswatun Edward, MA Algifari Eka Fitriah, Tika Elwanda Putra, Isra Fadhil Faizal Akbar Fahmi Nurfalah Fajar Hikmal Gunawan Fathia Frazna Az-Zahra Fathia Frazna Azzahra Frananda Adiezwara Ramadhan, Mohamad Frazna Azzahra, Fathia Frazzna Az-zahra, Fathia Ilmi Barokah Indra Griha Tofik Isa iqbal setiawan Isa, Indra Griha Tofik Iwan Rizal Setiawan Jamaludin, Firdaus kania, euis Kokom Komariah Kokom Komariah Larasati Mayan Pramesti Lelah Lelah Lelah Lelah Leonita Siwiyanti lucky valiant M. Rizky Suherlan M.Ramdan, Asep MA Algifari Edward Maulana Muhammad Rizky Mohamad Nurizki Mohamad Ridwan Mokhamad Hendayun Mubharak, Gilang Fauzul Muhammad Drajat Ramdhani muhammad musyfik Muhammad Zaynurroyhan Mulud Muchamad, Reski musyfik, muhammad Nesta Suandana, Ilham Nur Asiah Ramdani Nuraeni, Fika Nurmilah, Risma Nurmillah, Risma Prajoko . Prajoko Prajoko Putra, Muhammad Rafli Afandi Rahmawati, Verra Sri Yulia Ramadhan, Vito Rambe, Sarah Syakira Ramdan, Adam Rijal Agus Rusmana Risma Nurmilah Riyadi, Daris Rustiandi, Ryan Santiastry, Sany Sarah Novia Hermawanti Soebandi, Andry Subhan, Roby Azhari Suhendar Syafira Zahara Syah Rizal Fauzy Syahputra, M Ramdhan widi aulia rohmah Winda Apriandari Winda Apriyandari Zahra, Fathia Frazna Az