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All Journal CESS (Journal of Computer Engineering, System and Science) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Informatika C.I.T. Medicom TIN: TERAPAN INFORMATIKA NUSANTARA Journal Social Science And Technology For Community Service KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Sisfotek Global Joutica : Journal of Informatic Unisla Jurnal Satya Informatika Bulletin of Informatics and Data Science Smatika Jurnal : STIKI Informatika Jurnal
Rini Nuraini
Universitas Nasional
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Combination of K-NN and PCA Algorithms on Image Classification of Fish Species Rini Nuraini; Adi Wibowo; Budi Warsito; Wahyul Amien Syafei; Indra Jaya
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 5 (2023): October 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i5.5178

Abstract

To do fish farming, you need to know the types of fish to be cultivated. This is because the type of fish will affect how it is handled and managed. Therefore, this study aims to develop an image processing system for classifying fish species, especially cultivated fish, with a combination of the K-Nearest Neighbor (K-NN) algorithm and Principal Component Analysis (PCA). The feature extraction used is feature extraction based on its color and shape. The K-NN algorithm can group certain objects considering the shortest distance from the object. According to the best criteria, the PCA method is employed in the meanwhile to decrease and keep the majority of the relevant data from the original characteristics. On the basis of the test results, the accuracy value obtained is 85%. The use of a combination of the K-NN and PCA algorithms in the image classification of fish species in the research that has been done has been shown to be capable of increasing accuracy by 7.5% compared to only using the K-NN algorithm.
Sistem Otomatisasi Pemberi Pakan Pada Peternakan Bebek Dengan Arduino UNO dan Bluetooth Menggunakan SmartPhone Yusra Fernando; Ramadhan Lukman; Akhmad Jayadi; Rini Nuraini
TIN: Terapan Informatika Nusantara Vol 3 No 2 (2022): July 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v3i2.1789

Abstract

In the Ayem Bareng Duck Livestock Group, the process of feeding currently used is still manual, namely by placing feed in the feed storage container provided in the duck cage. This becomes an obstacle for farmers because the feeding time is done 2-3 times a day, because it will take time and cost to get to the location of the duck coop. With the obstacles experienced, the author proposes to make a Prototype of a tool that can feed ducks automatically, on a scheduled basis and the amount of feed given can also be regulated. The components used in the tool are Arduino UNO, DC motor, Bluetooth Module HC-06 and others. The delivery method used is Prototype Evolutioner. The result of this research is a Prototype tool that can feed ducks automatically. With a feeding process that runs automatically and on a scheduled basis, the feeding will be regular, timely and the amount of feed given will also be precise and consistent. The process of setting the schedule and number of feeds can be done using an Android smartphone that is connected to the device via a Bluetooth connection. Another benefit of automatic feeding is that the time and costs incurred by farmers for feeding livestock will be less. The results of the research are tools that are able to feed automatically and on a scheduled basis.
Implementasi Pendekatan Additive Ratio Assessment Pada Sistem Pendukung Keputusan Pemilihan Board Microcontroler Rini Nuraini
Bulletin of Informatics and Data Science Vol 2, No 1 (2023): May 2023
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Technology is currently developing into automation in the form of intelligent systems and the Internet of Things. These technologies will be related to components, one of which is a microcontroller. Today, there are more and more choices of microcontrollers with various specifications. Due to the large variety of microcontroller board products available on the market, one must understand one by one the specifications of the device to be purchased. It takes a long time for someone to make a choice. The research aims to develop a Decision Support System (DSS) using the Additive Ratio Assessment (ARAS) to assist in choosing a microcontroller board, so that it can assist in determining the best alternative appropriately and according to needs. The ARAS approach can select the best alternative based on the utility level of each alternative in determining the ranking of the best alternative or alternative. Based on the results of the case study conducted, the highest utility value was NodeMCU ESP8266 with a value of 0.8873, followed by FireBeetle ESP32 with a value of 0.8357, Arduino Uno R3 with a value of 0.5815 and Quark D2000 with a value of 0.5298. The calculation results obtained by the system by calculating manually show the acquisition of the same value. In addition, based on the results of black box testing, it shows that all the features tested have worked well
Penerapan Augmented Reality Pada Brosur Smartphone Menggunakan Algoritma FAST Corner Detection Savanah Sekar Arum; Iskandar Fitri; Rini Nuraini
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 11 No 01 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i01.526

Abstract

Technological advances in the globalization era, widely utilized in various fields, one of which is in the field of business. For example, in promotional media, the presence of augmented reality technology which is a technology that brings 3D virtual objects created using computers, into the real world of 3D. The way augmented reality works itself is by tracking markers through a camera that acts as an eye that can recognize objects and then project in real time. Therefore, the technology will be applied to this research, which discusses the application of augmented reality in smartphone brochures with FAST Corner Detection (FCD) algorithm. The purpose of using augmented reality technology in this brochure, to make the reader can see 3D objects in the brochure using the smartphone augmented reality application that can be installed on the reader's smartphone. And the function of using FCD algorithm itself is to recognize markers by tracking the central points (angles) in the marker image. The test result of this study is that the application can be used well to scan markers at a sufficient intensity of light to a lot of light and with a distance of ≤50 cm - <80 cm from the AR camera to the marker.
Faktor-Faktor Behavior Persepsi Penerimaan Pengguna Aplikasi Gofood, Grabfood, dan Shopeefood Menggunakan Metode Tam dan Analisis Sem Rini Nuraini; Muhammad Tanzil Kaila
Joutica Vol 11 No 1 (2026): MARET
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jti.v11i1.1627

Abstract

Perkembangan teknologi digital telah mendorong meningkatnya penggunaan aplikasi layanan pesan antar makanan di berbagai negara, termasuk Indonesia. Aplikasi seperti GoFood, GrabFood, dan ShopeeFood memudahkan pengguna dalam memesan makanan secara daring melalui perangkat smartphone (Ray et al., 2019). Penelitian ini bertujuan untuk menganalisis tingkat penerimaan pengguna terhadap aplikasi layanan pesan antar makanan menggunakan pendekatan Technology Acceptance Model (TAM). Model TAM dalam penelitian ini terdiri dari empat konstruk utama, yaitu Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude Toward Using (ATU), dan Behavioral Intention (BI) (Davis, 1989). Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap 180 responden pengguna aplikasi layanan pesan antar makanan di Indonesia. Analisis data dilakukan menggunakan Structural Equation Modeling (SEM) dengan bantuan perangkat lunak LISREL. Hasil penelitian menunjukkan bahwa model penelitian memiliki tingkat kesesuaian yang baik dengan nilai RMSEA sebesar 0.058, CFI sebesar 0.959, serta GFI sebesar 0.929. Hasil pengujian hipotesis menunjukkan bahwa PEOU berpengaruh positif terhadap PU dan ATU, PU berpengaruh positif terhadap ATU, serta ATU berpengaruh positif terhadap BI.
Co-Authors Adi Wibowo Akhmad Jayadi Alexander, Allan D Alfry Aristo Jansen Sinlae Anisah Ulfah Arisantoso Arisantoso Bagas Apriandadwi Putra Bayu Setyo Prayogi Budi Warsito Daniarti, Yeni Dedy Alamsyah Denis Taslim Destriana, Rachmat Fadllurrohman Fadllurrohman Fauzan Muhammad Fryda Fatmayati Ilham Wahyudi Siadi Indra Jaya Iskandar Fitri M Iwan Wahyuddin M. Hadi Prayitno Mayatopani, Hendra Muhammad Faiz Syafii Muhammad Tanzil Kaila Murien Nugraheni Mursalim Tonggiroh Nofitri Heriyani Norfaizah Norfaizah Nunik Yudaningsih Nurdiana Handayani Nurhasan Nugroho nurnaningsih, Desi Petrus Jacob Pattiasina Ramadhan Lukman Ri Sabti Septarini Savanah Sekar Arum Syam Ramadhan Wahyul Amien Syafei Yusra Fernando