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All Journal Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Ilmiah Teknik Informatika dan Komunikasi
Andika Sundawijaya
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Identifikasi Ras Wajah dengan Menggunakan Metode Deep Learning Model Keras Avrijsto Amandri Achyar; Ali Muhammud Olow; Muhammad Rizky Perdana; Andika Sundawijaya; Aaqila Dhiyaanisafa Goenawan
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 1 No. 1 (2022): Maret : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (155.597 KB) | DOI: 10.55606/jtmei.v1i1.779

Abstract

Humans have various types which are called races. The human race can be identified by many things, from the shape of the body to the color of the body. Of the many ways to identify the human race, the author also thinks whether a computer can identify the human race based on skin color. Nowadays, computers have developed in such a way that there are many possibilities that computers can also do this.
Membangun Aplikasi Mobile “Food & Beverage Ordering” Berbasis Android Mohamad Akbar Wisnu Nadyanto; Muhammad Varriel Avenazh Nizar; Nasrullah , Nasrullah; Andika Sundawijaya
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 1 No. 3 (2021): November: Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (893.789 KB) | DOI: 10.55606/juitik.v1i3.324

Abstract

Kini smartphone sudah menjadi sarana utama untuk berkomunikasi yang bisa dibawa ke manapun. Begitupun dengan sistem order makanan dan minuman sekarang yang rata-rata sudah menggunakan sistem online lewat aplikasi yang berbasis android maupun IOS. Penelitian ini bertujuan untuk membangun perangkat lunak FnB Ordering ini sebagai penyedia layanan di bidang kuliner. Di era sekarang ini, sebagian orang malas untuk keluar rumah. Sehingga tujuan pembangunan aplikasi perangkat lunak ini membantu sifat manusia yang saat ini bergantung kepada internet dan hal-hal yang instan. Perangkat lunak FnB Ordering ini juga dapat membantu pihak penjual atau tenant yang akan memperkenalkan dan menjual makanan dan minumannya kepada masyarakat luas melalui aplikasi tersebut.
EXPERT SYSTEM FOR DIAGNOSING TOMATO PESTS AND DISEASES USING FORWARD CHAINING METHOD Aqilla Fadia Haya; Hafizh Al Karim; Muhammad Rizky Perdana; Andika Sundawijaya
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 1 No. 2 (2022): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (695.389 KB) | DOI: 10.55606/jurritek.v1i2.595

Abstract

Tomato (solanum lyco persicum) is a plant from the solanceae family, native to Central and South America, from Mexico and Peru. Tomatoes have a short life cycle and a height ranging from 1 to 3 meters. Currently, farmers often experience disturbances from pests and diseases of tomatoes due to a lack of knowledge. They do not know how to control it and to eliminate pests that reduce productivity. In identifying diseases in tomato plants we use the Forward Chaining method which is a description that starts from knowing the facts and then matching them with IF and IF-THEN rules. Diseases with a high prevalence in tomatoes are: fruit worms, earthworms, green aphids, white flies, fruit flies (bractrotera) and the diseases are: fusarium wilt, leaf spot disease, bacterial spot, fruit rot. This expert system application provides tomato disease information and disease diagnosis, including control solutions that can be used to reduce the risk of tomato crop damage
Co-Authors Aaqila Dhiyaanisafa Goenawan Ali Muhammud Olow Aqilla Fadia Haya Avrijsto Amandri Achyar Hafizh Al Karim Mohamad Akbar Wisnu Nadyanto Muhammad Rizky Perdana Muhammad Varriel Avenazh Nizar Nasrullah , Nasrullah