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All Journal Jurnal Sistem Informasi dan Ilmu Komputer Kohesi: Jurnal Sains dan Teknologi Jurnal Penelitian Teknologi Informasi dan Sains Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Arizka Anggraini
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Other

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Pemodelan Aplikasi Pengadaan Barang Menggunakan Metode Waterfall Arizka Anggraini; Latifa Khoirani; Armansyah Armansyah
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 2 (2024): Mei : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i2.3060

Abstract

Procurement is a recurring activity in a company's business process. While the traditional procurement process is often considered less efficient and effective, it requires a better solution. The traditional procurement process also often requires a long time, high cost, and lack of transparency. This can lead to inefficiency and the risk of misuse. This research aims to develop a more efficient and effective procurement application model using SDLC and waterfall methodologies. This research uses observation methods to study the current procurement process and interviews to get input from stakeholders regarding application needs. The results showed that the developed procurement application model can help companies in a more efficient and effective procurement process. This application model can help companies to save time and costs, as well as increase transparency and accountability of the procurement process.
PEMODELAN APLIKASI PENGADAAN BARANG MENGGUNAKAN METODE WATERFALL Arizka Anggraini; Latifa Khoirani; Armansyah, Armansyah
Kohesi: Jurnal Sains dan Teknologi Vol. 2 No. 10 (2024): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v2i10.2630

Abstract

Pengadaan barang merupakan aktivitas berulang dalam proses bisnis suatu perusahaan. Sementara proses pengadaan barang secara tradisional seringkali dirasa kurang efisien dan efektif, sehingga membutuhkan solusi yang lebih baik. Proses pengadaan barang secara tradisional juga seringkali memerlukan waktu lama, biaya tinggi, dan kurang transparan. Hal ini dapat menyebabkan inefisiensi dan risiko penyalahgunaan. Penelitian ini bertujuan untuk mengembangkan model aplikasi pengadaan barang yang lebih efisien dan efektif menggunakan metodologi SDLC dan waterfall. Penelitian ini menggunakan metode observasi untuk mempelajari proses pengadaan barang yang ada saat ini dan wawancara untuk mendapatkan masukan dari para pemangku kepentingan terkait kebutuhan aplikasi. Hasil penelitian menunjukkan bahwa model aplikasi pengadaan barang yang dikembangkan dapat membantu perusahaan dalam proses pengadaan barang yang lebih efisien dan efektif. Model aplikasi ini dapat membantu perusahaan untuk menghemat waktu dan biaya, serta meningkatkan transparansi dan akuntabilitas proses pengadaan barang.
Deteksi Tingkat Kematangan Buah Tomat Dengan Transformasi Ruang Warna HSI Supiyandi Supiyandi; Arizka Anggraini; Warda Hamidah; Nazwa Alya Faradita; Adisty Maysandra
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 2 No. 2 (2024): JUNI : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v2i2.2095

Abstract

Among the vegetables most commonly consumed by people around the world are tomatoes. One of the potential vegetable commodities to be developed is tomato plants. This plant can thrive in rice fields, dry land, and highlands. Use of Technology Digital images are images that can be processed by computers directly. A matrix with M columns and N rows can be used to describe a digital image. The smallest element in an image is called a pixel or image element, and is the intersection between columns and rows. image processing is the process of processing an image numerically; in this case, each pixel or point in the image is treated. One method of image processing is to use computer software to process each pixel in the image. It is easier for object recognition applications in image processing to identify objects based on differences in hue values when the hue values of objects are limited to a certain value. The color space system that mimics the capabilities of the human eye is called the HSI color space model. HSI incorporates the grayscale or color components of an image. The test image of Tomato fruit with a value of H = 32 S = 0.675 I = 83 can be considered ripe, according to the range of fruit reference values that have been established through the use of the HSI method.
Klasifikasi Bobot Telur Ayam Ras menggunakan Visi Komputer dan Segmentasi Citra Supiyandi Supiyandi; Warda Hamidah; Nazwa Alya Faradita; Arizka Anggraini; Adisty Maysandra
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 1 (2025): Februari : Neptunus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i1.586

Abstract

This study aims to classify chicken eggs based on their physical size using the concept of computer vision and image segmentation techniques. Compared to the standard methods that have been used so far, this alternative technology is expected to help standardize measurements, cost efficiency, and work effectiveness. In this study, the classification of chicken eggs was carried out using image segmentation and regression analysis. Thus, it is expected that the classification of chicken eggs will have increasingly accurate values. After the image is taken using a webcam, the image segmentation process is used to divide the image into homogeneous areas based on the RGB (true color) color intensity similarity standard. Regression analysis is used to study and measure the relationship between the number of pixels and the weight of the object. The number of pixels indicating the area of ​​the object is the result of image segmentation, which will be entered into the regression equation to calculate the weight (grams). The results showed that the color characteristics of chicken eggs have a normalization of R at least 0.41 and a normalization of G at least 0.3. In addition, the classification test has an accuracy of 100% (36/36) and a weight estimation accuracy of 42 percent (15/36).
Pemanfaatan Jaringan Saraf Tiruan untuk Prediksi Curah Hujan di Sumatera Utara Arizka Anggraini; Lailan Sofinah Harahap
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.457

Abstract

The use of Artificial Neural Networks (JST) for weather prediction is one of the innovative approaches in climate data analysis. This study aims to apply JST in predicting weather, especially rainfall and the number of rainy days in the North Sumatra region. Historical weather data obtained from BMKG Region I for 2022-2023 is used as input to train the JST model. With a training process that involves processing rainfall data, this model is expected to provide accurate predictions regarding weather patterns. The results of this research can help in agricultural sector planning, disaster risk mitigation, and natural resource management. JST has proven to be effective in identifying dynamic and complex weather patterns, so it has the potential to be used in long-term weather prediction.
Pemodelan Aplikasi Pengadaan Barang Menggunakan Metode Waterfall Arizka Anggraini; Latifa Khoirani; Armansyah Armansyah
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 2 (2024): Mei : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i2.92

Abstract

Procurement of goods is a recurring activity in a company's business process. Meanwhile, the traditional goods procurement process is often felt to be less efficient and effective, so it requires a better solution. The traditional procurement process also often takes a long time, has high costs and lacks transparency. This can lead to inefficiencies and risks of abuse. This research aims to develop a more efficient and effective goods procurement application model using SDLC and waterfall methodology. This research uses observation methods to study the current procurement process and interviews to obtain input from stakeholders regarding application needs. The research results show that the goods procurement application model developed can help companies in the goods procurement process more efficiently and effectively. This application model can help companies save time and costs, as well as increase transparency and accountability in the procurement process.
Co-Authors Adisty Maysandra Armansyah Armansyah Lailan Sofinah Harahap Latifa Khoirani Nazwa Alya Faradita Supiyandi Supiyandi Warda Hamidah