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All Journal Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Ilmiah Informatika dan Ilmu Komputer Jurnal Media Celebes Journal of Software Engineering And Technology
Dwi Handoko
Institut Teknologi dan Bisnis Diniyyah Lampung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Sistem Cerdas Penentuan Biji Kopi Robusta Terbaik Berbasis AHP Pada Industri Rumah Tangga JS Family Simpang Kanan Sumberejo Tanggamus, Lampung Dwi Handoko; Ahmad Syarifuddin; Elystia Febriyanti
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 5, No 2 (2022): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v5i2.3416

Abstract

JS Family Home Industry is a home industry engaged in the production of Robusta coffee, namely from intact coffee beans and then processing them into ground coffee which is packaged in sachets to be sold and enjoyed by coffee connoisseurs. Because of that, an intelligent system is needed to help in these business activities, namely a smart system to determine the best Robusta coffee beans. Determination of robusta coffee beans in the JS Family Home Industry is still carried out manually, namely in the traditional way that relies on an empirical knowledge base and is still not professional so that the quality of the coffee that will be processed into IKI Coffee products cannot be known with certainty whether the quality of the coffee is good or not so good.Seeing the problems that exist, researchers try to create and design an intelligent system with a good computerized system design that aims to help IKI Coffee products from the JS Family Home Industry. This system uses the Java programming language and SQL Server 2000 database. This system also use AHP methode because in determining the best robusta coffee beans, several criteria are needed and try whether the AHP method can be used to determine the best robusta coffee beans or not.Based on the results of the research conducted, the conclusions that can be drawn are to simplify the process of determining the best Robusta coffee beans and find out how good the quality of the good Robusta coffee beans.
MONITORING VEGETATION HARVEST OF COFFEE TREES USING KNN-CLUSTERING ALGORITHM Dwi Handoko; Nizamiyati Nizamiyati; Herlini Oktaria; Agus Mulyanto; Muhamad Brilliant
TEKNOKOM Vol. 6 No. 1 (2023): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.988 KB) | DOI: 10.31943/teknokom.v6i1.90

Abstract

Coffee is one of the plantation commodities spread throughout Indonesia. Coffee is the main commodity for export in Tanggamus Regency. The prediction of crop yields based on aerial photography is the main problem in this study, then there is no dataset of aerial imagery of coffee plantations that are specifically used for the purpose of determining coffee tree vegetation on coffee plantations so that farmers can find out which land is still overgrown by other plants. in addition to coffee trees and the possibility of making predictions for crop yields from aerial imagery of the coffee plantations, this research is also another urgency. This study is intended to build an intelligent model to detect the amount of coffee tree vegetation in a plantation using the KNN-Clustering segmentation algorithm. The image of the coffee tree was taken using a drone with a height of 50 m and an area of 0.25 ha. Preprocessing was carried out. The preprocessed image is called a dataset. After that, the segmentation process is carried out using the Region Growing method to form a black and white image. After Region Growing is done, then the image in Clustering uses the KNN-Clustering method to determine the color pattern of the image in the coffee plantation to distinguish the types of vegetation in the coffee plantation. From the results of KNN-Clustering, the area of coffee tree vegetation is obtained from a total of 0.25 ha of coffee plantation images.
Sistem Pendukung Keputusan Pemilihan Kapten Tim Futsal Dengan Metode Analytical Hierarchy Process (AHP) Dwi Handoko
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 1 No. 2 (2022): Volume 1 Number 2 September 2022
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v1i2.11

Abstract

The selection of the futsal team captain is an important step in building a solid and successful team. The purpose of the research conducted to determine the captain of the futsal team using the AHP method as a support for the coach's decision in determining who will be the captain of the futsal team. The calculation of the selection of the futsal team captain using AHP rank 1 was obtained by Pras with a value of 0.22921 being the highest among other futsal team captain candidates. With the application of this AHP method, Pras recommended to be the captain of the futsal team.
Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) Dalam Penentuan Lokasi Pemasaran Produk Dwi Handoko
Jurnal Media Celebes Vol. 1 No. 2 (2024): Volume 1 Number 2 January 2024
Publisher : CV. Keranjang Teknologi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/mediacelebes.v1i2.44

Abstract

Product marketing location determination is a strategic decision that requires in-depth analysis to maximize market reach and distribution efficiency. One of the main problems is the high level of competition in an area, which can reduce the attractiveness of a business and limit growth. In addition, a mistake in understanding the dominant customer profile in a particular location can result in a mismatch between the product offering and market needs. This study aims to determine the location of product marketing by utilizing a decision support system technology and applying the MOORA method as an approach in recommending a decision. The ranking results of the MOORA method recommend Location 1 as a product marketing location with a final value of 0.5379 by getting a rank of 1, Location 3 as a product marketing location with a final value of 0.4907 by getting a rank 2, and Location 1 as a product marketing location with a final value of 0.4742 by getting a rank 3.
PERANCANGAN APLIKASI PELAYANAN JASA PADA RIAS PENGANTIN (MUA) MAKHSUN PHOTOGRAPHY GISTING BERBASIS ANDROID Dwi Handoko; Kanti Lestari; Tiara Widi Astuti
Journal of Software Engineering and Technology. Vol 1, No 1 (2021): SEAT: Journal of Software Engineering And Technology
Publisher : Institut Teknologi dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/seat.v1i1.21

Abstract

Saat ini pelayanan pemesanan jasa makeup masih menggunakan sms dan telepon  sebagai media komunikasi antara pelanggan dan professional makeup artist (MUA). Seorang MUA biasa menawarkan atau mempromosikan jasanya melalui facebook, instagram dan  sebagainya. Penggunaan di media-media tersebut masih kurang efektif. Kurangnya informasi  yang didapat sehingga pelanggan sulit mendapatkan jasa yang cocok dengan selera atau kebutuhan dan sulit menyesuaikan dengan MUA. Tujuan Makeup untuk mengubah penampilan wajah yang dinilai kurang sempurna dan untuk memperindah penampilan wajah khususnya para wanita untuk menghadiri suatu kegiatan atau acara seperti acara pernikahan, Metode penelitian pada penelitian ini adalah penelitian kualitatif dimana strategis yang digunakan adalah design and Creation. Penelitian ini menggunakan metode pengumpulan data dan wawancara,observasi dan studi literatur. Metode perancangan yang digunakan adalah waterfall dan teknik pengujian yang digunakan adalah Black Box dan White-Box. Dari penelitian ini menghasilkan rancangan aplikasi pusat pelayanan jasa makeup menampilkan daftar profil MUA pada jasa rias MUA Makhsun Photography Gisting, harga yang ditawarkan serta pelanggan dapar memeriksa ketersediaan perias yang dibuat berbasis android yang dapat diakses menggunakan smartphone, Perancanngan aplikasi ini diharapkan memberikan informasi mengenai pusat pelayanan jasa makeup dan juga memudahkan dalam mencari dan memesan jasa makeup sesuai dengan kebutuhan pelanggan atau user.
Co-Authors Agus Mulyanto Ahmad Syarifuddin Ardian Asyhari Elystia Febriyanti Herlini Oktaria Kanti Lestari Muhamad Brilliant Muhammad Fariq Al Qusri Nizamiyati Nizamiyati Tiara Widi Astuti