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All Journal Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Mawaddah Harahap
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Deteksi objek manusia pada image dengan metode Thinning Berdasarkan local maxima Mawaddah Harahap; Erik Sartana Agustia; Muhammad Marsyal Lubis; Apriandi Apriandi; Alvin Anggara
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 3 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v7i3.370

Abstract

The aim to detection human object is to identifying human object in image. There is a change human object affected by internal factors like face expression, body shape, skin color, and movement body and affected by external factor likes lighting condition, background which varies and corner taking image. The detect human object towards some condition likes obtained on image which containts more than one object, and object size which varies in image. The research aim to analizying and designing a application for detect human object in image. Thinnging algorithm used to introduction pattern human object from a image for another image in order to equalize object pixel to detection maximum. The local maxima used as function for maximize searching pixel on object in image for make it easier and faster to detect image
PEMBELAJARAN PENERJEMAH KALIMAT BAHASA INDONESIA KE BAHASA SIMALUNGUN DAN SEBALIKNYA DENGAN ALGORITMA BERRY - RAVINDRAN Saut Dohot Siregar; Mawaddah Harahap; Yohana Marbun
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 4, No 2 (2017): Teknovasi Oktober 2017
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v4i2.103

Abstract

ABSTRAK Indonesia memiliki beragam bahasa daerah, salah satunya adalah Bahasa Simalungun. Saat ini masih ada beberapa masyarakat bersuku Simalungun yang belum fasih berbahasa Simalungun. Untuk dapat belajar berbahasa, aplikasi penerjemah dapat dijadikan sebagai salah satu bahan acuan. Di zaman sekarang ini, aplikasi penerjemah sangat efisien digunakan untuk belajar menambah kosakata. Dalam membuat aplikasi penerjemah, string matching dapat diimplementasikan untuk proses pencarian katanya. String matching memiliki beberapa algortima, salah satu algoritmanya adalah algoritma Berry – Ravindran dan akan diimplementasikan pada aplikasi penerjemah tersebut. Algoritma Berry – Ravindran memiliki dua fase yaitu fase preprocessing dan fase pencarian Pattern akan bergeser apabila string dan pattern mengalami ketidakcocokan. Pattern akan berhenti bergeser saat pattern ditemukan pada teks atau saat jumlah nilai pergeseran lebih besar dari selisih panjang teks dan panjang pattern. Hasil dari penelitian ini adalah algoritma Berry – Ravindran dapat diimplementasikan dan aplikasi dapat berjalan dengan baik. Kata Kunci : String Matching, Berry – Ravindran.
APLIKASI IDENTIFIKASI KEMATANGAN PISANG DENGAN METODE THRESHOLDING DAN RGB RATIO Mawaddah Harahap; Steven Steven; Justin Handoko Wijaya; Willyanto Willyanto; Yan Sentosa Nainggolan; Jon Rika Sitepu
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 6, No 2 (2019): TEKNOVASI OKTOBER 2019
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v6i2.343

Abstract

Banana is a kind of berry fruit which has ovaled shape and has yellow, green or brown color with smooth flesh and commonly sweet. Almost all banana has yellow skin while ripe, although some of them have orange, red, green, purple or even black. Color space consists of crominant and luminant component, whereas element that is often used for skin color is crominant element and use RGB and YCbCr, because this YCbCr color space achieve the best result for skin. Skin color detected could be used to determine maturity level of banana. The process of identification of banana maturity will begin by changing the inserted RGB image into a grayscale image. After that, the grayscale image obtained will be converted into a black and white image so that objects can be grouped in it. Then, the pixel color of the image in the detected area will be changed to the YCbCr color space. Based on the YCbCr value obtained, the level of maturity of the banana will be detected. RGB Ratio method could be used to detect banana maturity level accurately. Application achieved could be used to detect banana maturity level for input image. Based on the results of testing process, obtained information that the accuracy of the identification process of banana maturity is 90%.
Implementasi Metode CTR Estimate Dan GLMIX Rangking Model Untuk Rekomendasi Lowongan Pekerjaan Mawaddah Harahap
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i3.978

Abstract

The conventional job search and recruitment processes are considered less effective and efficient in terms of cost and time. To assist job seekers in getting the desired job and assist job providers in obtaining potential candidates, a recommendation system is needed. An ideal job recommendation system should be able to fulfill several objectives such as recommending the most relevant jobs to users. To solve these problems, a recommendation system method can be applied. One method that can be applied is the Click Through Rate (CTR) Estimate and Generalized Linear Mixed (GLMix) ranking model method. In this method, the concept of job boosting and penalization will be used to set the scoring value of each job. If a job is predicted to have a value smaller than the minimum target value, then the scoring value of the job will be carried out by a boosting process. The result of this research is a job recommendation website that applies the CTR Estimate and GLMix Ranking Model methods that are able to provide job vacancies recommendations to users based on the qualifications and majors of the user. The website also provides a facility to test the CTR Estimate and GLMix Ranking Model methods.
Co-Authors Alvin Anggara Apriandi Apriandi Erik Sartana Agustia Jon Rika Sitepu Justin Handoko Wijaya Muhammad Marsyal Lubis Saut Dohot Siregar Steven Steven Willyanto Willyanto Yan Sentosa Nainggolan Yohana Marbun