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All Journal DINAMIKA DOTCOM TEKNOLOGI INFORMASI Systemic: Information System and Informatics Journal Jurnal Teknologi Dan Sistem Informasi Bisnis PINISI Discretion Review Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pallangga Praja
Indra Dharma Wijaya, Indra Dharma
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Public Health Social Sciences

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Journal : TEKNOLOGI INFORMASI

 1 
IDENTIFIKASI WAJAH BERBASIS SEGMENTASI WARNA KULIT WAJAH MENGGUNAKAN NAIVE BAYES CLASSIFIER Putra, Dimas Rossiawan Hendra; Marisa, Fitri; Wijaya, Indra Dharma
JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi VOL 9 No. 2 Tahun 2018
Publisher : JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi

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Abstract

Face Identification is an important part in digital image processing techniques to determine the size, location and image value. Face detection is a step in the facial recognition system used for personal identification, monitoring system, criminal law, human and computer interaction and so on. This study featuring face detection using Naïve Bayes Classifier with red, green and blue (RGB) model features. This study uses images with variation of facial expression from training data and testing data. The first step is to create a model of facial skin color with RGB model feature which has done normalization process bygrayscaling image, binarying image and filtering image using max filter, then looking for average RGB color of facial skin, followed by building Gaussian distribution showing skin color classification and processed by Naïve method Bayes Classifier (NBC) in determining the classification result.From the test results with a total of 70 test data and a threshold of 0.1, the results of system accuracy reaches 90.25%.
IMPLEMENTASI METODE K-MEANS CLUSTERING DALAM MENGELOMPOKKAN KOMPETENSI MAHASISWA Wardianto, Wardianto; Marisa, Fitri; Wijaya, Indra Dharma
JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi Vol 10 No 1 Tahun 2019
Publisher : JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi

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Academic ability is the ability of a person who is included in the academic field with a measure can be in the form of value or so-called academic achievement. With this system helps in grouping students in their fields, and students can find out the competencies obtained based on the achievement index of the courses that have been determined. In making this system, researchers used Visual Studio 2012 and applied the K-Means Clustering algorithm method to get more accurate results in classifying student competencies. This system can be used for all departments, the testing is done at the Informatics Engineering Department of Malang Widyagama University. in this system uses the mysql database for storage. Based on the user test results that have been done, Based on the results of the user trials that have been conducted, of the 5 weighted values that have been determined, there is an average of the results of the trial which is 85.6% strongly agree with the existence of this system to find out the student competency group.It is expected that with this system. Can find out competency groups that are suitable for their fields, so that later they will produce graduates who are competent in accordance with their fields.Keywords : Competence, K-means Clustering, software visual
ISTEM INFORMASI PEMBERIAN BONUS UPAH DAN PENJADWALAN KARYAWAN MENGGUNAKAN METODE ALGORITMA GENETIKA Akbar, Ismail; Marisa, Fitri; Wijaya, Indra Dharma
JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi Vol 10 No 1 Tahun 2019
Publisher : JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi

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Abstract

By following the development of the market and the needs of the community, it is increasingly needed a technology to improve the quality and results of its production with careful planning, in order to avoid the level of loss and reduce production in the company. This is experienced by companies UD. Muria PS who is engaged in animal husbandry. Which has several problems in scheduling employees to take their products. Which also has an impact on the gap between employees on the bonus wages they receive. By building a scheduling information system and providing bonus wages, this research uses php programming language and website-based programming and applies genetic algorithms in it to more easily manage employee schedules and provide bonus rewards fairly and evenly. This genetic algorithm process has a parameter of the vehicle, coolie, and time in the scheduling process. and schedule parameters in the employee bonus wage process. Based on the results of the user trial, the respondents strongly agree with the existence of this application. Which of the 14 respondents said it was feasible to apply to the company UD. Muria PS with a result of 87.37%. It is expected that with this application, employee scheduling and bonus wage issues can help solve it. Keywords: Scheduling, Bonus Salary, Genetic Algorithm, PHP
Co-Authors Ade Ismail Akbar, Ismail An-nisa, Miftakhul Ariefta Ariadi Retno Tri Hayati Ririd Arief Prasetyo Arisanti, Diah Asih, Dinar Purwa Astiningrum, Mungki Budi Harijanto, Budi Della, Nisa Rahma Dika Rizky Yunianto Dimas Wahyu Wibowo Edi Irawan Fitria, Nailil Hendra Pradibta Hendrawan, M Afif Hendrawan, Muhammad Afif Huda Utama, Erwin Tidar MARIFANI FITRI ARISA Mayang Anglingsari Putri, Mayang Anglingsari Muhammad Shulhan Khairy Mula Agung Barata Parningotan, Frans Goklas Pradini, Risqy Siwi Putra Prima Arhandi, Putra Prima Putra, Dimas Rossiawan Hendra Rahman, Fatmawati A Rahmanto, Anugrah Nur Romansyah Sahabuddin Rudy Ariyanto Septian Enggar Sukmana Siti Nuraisyah Sulkanawatul, Agustina Usman Nurhasan Wardianto, Wardianto Widaningsih Widaningsih, Widaningsih