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Journal : INCODING: Journal of Informatics and Computer Science Engineering

Sistem Pembantu Keputusan Penerima Karyawan Menggunakan Metode TOPSIS di PT Trans Media Corpora Ade Onny Siagian; Hadion Wijoyo
INCODING: Journal of Informatics and Computer Science Engineering Vol 1, No 1 (2021): INCODING APRIL
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v1i1.20

Abstract

Visionet Data Internasional Inc is one of the largest companies in the field of IT management service providers in Indonesia. For this achievement, the company needs employees with quality in accordance with the criteria needed. But in reality, there are still many companies that experience difficulties in the process of hiring employees. This is cause by many factors such as the many assessment criteria that serve as benchmarks in the recruitment process.One way to solve this problem is to create a decision support system that applies one of the MCDM methods. TOPSIS is a MCDM method that can be used in the decision support system. This method provides the advantages of concepts that are simple and easy to understand, computationally efficient and can measure the relative performance of alternative decisions in a simple mathematical result. In this research, a decision support system is designed that can be used by companies to provide alternative decisions in the employee recruitment process. The result of this research is a decision support system that can be used by the HRD Admin to assist the employee recruitment process.
Deteksi Kematangan Buah Jambu Kristal Berdasarkan Fitur Warna Menggunakan Metode Transformasi Ruang Warna Hsv (Hue Saturation Value) Dan K-Nearest Neighbor Adhi Wibowo; Diwahana Mutiara Candrasari Hermanto; Kusuma Indah Lestari; Hadion Wijoyo
INCODING: Journal of Informatics and Computer Science Engineering Vol 1, No 2 (2021): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v2i1.131

Abstract

Guava has properties that are easily damaged, improper handling of guava fruit can result in a decrease in quality and quality. In general, to measure maturity is still done manually, the weakness of this method is the level of accuracy that is not consistent and tends to experience errors. Utilization of images is very important to determine the maturity of guava fruit by utilizing digital images. With the existence of digital images, to determine the maturity of guava fruit based on its color, it can be done computing (technology-based), namely by applying image processing using the HSV (Hue, Saturation, Value) color space transformation method. The HSV (Hue, Saturation, Value) color model groups the intensity components of the carried color information (hue and saturation) in image colors. The results of the ripeness detection can be seen in each test with a percentage value of 91.67% for the ripe guava category, 90% for the raw guava fruit category. The percentage value for testing the overall data has a good percentage value which is influential in detecting the maturity of crystal guava, which is 95%. So it can be concluded that the detection of ripeness of crystal guava fruit can be done by applying the HSV color space transformation method.
Perancangan Sistem Pakar Diagnosa Kerusakan Pada Kamera DSLR Canon Dengan Metode Forward Chaining Berbasis Web Danangda Rizky Ramadhan; Hadion Wijoyo
INCODING: Journal of Informatics and Computer Science Engineering Vol 1, No 1 (2021): INCODING APRIL
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v1i1.10

Abstract

At present the use of camera technology has grown rapidly with the emergence of various types of cameras with various advantages, such as cameras with the Canon DSLR type. Most people use it not only for hobbies, but also for work. With the development of Artificial Intelligence technology, it allows Expert Systems to be applied to a network that can be accessed either via a computer device or a Smartphone device. One of them is in providing information about various problems that often occur with camera devices, especially hardware problems. The method used in this expert system is Forward Chainning, supported by supporting data. With the features provided for users and administrators, it is possible for both users and administrators to use this system according to their individual needs. Users are given an easy way to find information about various kinds of camera damage and symptoms that usually arise, by answering some of the questions the system gives. Meanwhile, administrators can be able to perform system management, both the process of adding, deleting, and updating the latest data. This final project is expected to be able to provide all information related to the problem of damage to Canon DSLR cameras for the general public, as well as photographers or videographers. Keywords: Expert System, Forward Chainning, DSLR Camera
Penentuan Penerima Bantuan Sembako Dengan Sistem Pendukung Keputusan Di Yayasan Vihara Dharmaloka Pekanbaru Menggunakan Metode Analytical Hierarcy Process (AHP) Aldi Aldi; Hadion Wijoyo
INCODING: Journal of Informatics and Computer Science Engineering Vol 3, No 2 (2023): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v3i2.433

Abstract

Vihara Dharma Loka Pekanbaru Foundation conducts a program, namely the distribution of basic food assistance to underprivileged families before chinese new year annually. This program is to help people who are Buddhists lived in Pekanbaru which is carried out at the Vihara Dharma Loka Pekanbaru Foundation which is located at Jl. Dr. Leimena No. 41 Pekanbaru. There is no decision system in determining the recipients of basic food assistance so that the recipients of assistance are still not on target. The purpose of this research is to design a computerized decision support system to determine the recipients of basic food assistance using the method Analytical Hierarchy Process (AHP). Supported by expert choice application for the implementation process, the calculation resulted for each criterion have some weights, electric bill 0.433, income below 2 million with a weight of 0.396 and children under working age with a weight of 0.172.