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All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL PENDIDIKAN TAMBUSAI JURNAL MAHAJANA INFORMASI TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Pengabdian kepada Masyarakat Nusantara JiTEKH (Jurnal Ilmiah Teknologi Harapan) Bulletin of Computer Science Research EXPLORER Prosiding Snastikom Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Pengabdian Masyarakat Cosmic Jurnal Teknik Journal of Computer Science Artificial Intelligence and Communications CompTech : Jurnal Ilmu Komputer dan Teknologi Jurnal Ilmu Komputer dan Teknik Informatika Jurnal Pengabdian Masyarakat Berdampak
Yessi Fitri Annisah Lubis
Universitas Harapan Medan
Religion Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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Journal : Prosiding Snastikom

 1 
Implementasi Model Recurrent Neural Network Dalam Melakukan Prediksi Harga Kartu Perdana Internet Dengan Menggunakan Algoritma Long Short Term Memory Nafila Hayati Lubis; Yessi Fitria Annisah Lubis
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

The development of the internet starter pack business has finally shown a symptom, namely the increasing number and variety of internet starter packs made by provider companies with various types, features and facilities that are more complete and bonuses given. With the Recurrent Neural Network method, it is an artificial neural network architecture that has been proven to perform well because the processing is called repeatedly to process sequential data input. Using the Long Short Term Memory algorithm to predict the price of internet starter packs that will be generated through raw data that is used as input. The results of the study predict the price of internet starter packs with 70% training data (529) and 30% test data (226) with a total of 755 data from August to December, with forecasting time series epochs 100, hidden layer 32, batch size 64 overall predictions the price of an internet starter pack is 52,500 to 67,000 using the RNN and LSTM methods
GAME EDUKASI BAHASA JEPANG MENGGUNAKAN ALGORITMA SUFFLE RANDOM BERBASIS ANDROID Widia Sari Arezda Purba; Yuyun Dwi Lestari2; Yessi Fitri Annisah Lubis
SNASTIKOM Vol. 1 No. 01 (2022): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2022
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

Games are widely used as a learning medium for children so that they are not boring and can create an effectiveand interesting atmosphere. In the field of education, games are used as a forum for games to hone thinking andmemory in the learning process. The use of games in the learning process involving computers can increaseachievement and learning motivation. One of them is games with educational genres that can have a pleasantimpact on learning and games are useful because they have good visualizations and are not boring. This researchutilizes Japanese language education games to be a solution to the problem of difficulty in learning Japanese bythe Indonesian people due to differences in accent and cultural diversity. This educational game is built usingunity 3D software, where this research will aim to produce an android-based Japanese language education gameand implement a random suffle algorithm on the question feature. where the game will display random questionsto hone memory in the game.
Analisis Perbandingan Sistem Pendukung Keputusan Pada Rentang Kelompok Usia Pasien Di Puskesmas Menggunakan Metode Weight Product Dan Topsis Rizky Ainul Prasetio; Yessi Fitri Annisah Lubis
SNASTIKOM Vol. 1 No. 01 (2022): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2022
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

The range of patient age groups is the age category of the population based on their welfare group. Age group aims to look at certain welfare groups that are dominated by relatively productive age groups or dominated by non-productive age groups, for example, children or the elderly. There are several criteria used to calculate the decision support system, namely age range, type of activity, and number category. In this case the researcher wants to design and make a decision support system application using the comparison of the WP method and the topsis method which aims to determine the age group of patients who visit the most health centers. Researchers will conduct research at the Old Village Health Center with the title "Comparative Analysis of Decision Support Systems in the Range of Patient Age Groups in Health Centers Using Weight Product and Topsis Methods".
ANALISIS PENGARUH CITRA GELAP TERHADAP KINERJA METODE HIGH BOOST FILTERING DAN ADAPTIVE HISTOGRAM EQUALIZATION Muhammad Fitra Hanafiah; Rismayanti; Yessi Fitri Annisah Lubis
SNASTIKOM Vol. 1 No. 01 (2022): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2022
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

The Images taken with a digital camera at night with minimal lighting will produce a dark image and it is difficultto recognize objects in it. The image results obtained appear black and the details in the image are not clearlyvisible. In such conditions, it is necessary to improve the image (image enhancement) which aims to get the imagedisplay with a better form of visualization. This study aims to examine the effect of dark images on the performanceof the High boost Filtering method and the Adaptive Histogram Equalization method in improving image quality,especially the types of dark images taken from smartphone cameras at night so that they can provide solutions inthe form of applications and information on how to improve image quality on dark images so that detailed imageinformation can be seen visually. The test results using three dark images in bitmap format (*.bmp) taken from asmartphone camera at night with different lighting affect the performance of the High boost Filtering and AdaptiveHistogram Equalization in improving image quality, meaning that it gets darker. Image object then the result isalso not good and vice versa. The best results use the High boost Filtering method. The High boost Filteringmethods produces an image histogram that is evenly distributed so that detailed image information can be seenvisually.
Sistem Pendukung Keputusan Untuk Menentukan Stok Kue Menggunakan Forward Chaining Di Toko Cookies YARR Nurul Fajrina; Mufida Khairani; Yessi Fitri Annisah Lubis
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

Advances in information and communication technology make it easier for humans to manage data and information, so there is no need to waste a lot of time, effort and money. Technology is useful in various fields, one of which is in the field of small business economics, namely sales stock. In order to make it easier for the owner to make incoming and outgoing stock reports, it is necessary to implement computerized sales data in one web application, which includes information on incoming and outgoing stock of cookies that are still available at the YARR Cookies shop. Stages in Decision Support System research using the Forward Chaining method which will collect facts and end with conclusions. And the end result of this web application can be run properly and is also useful for the owner of the YARR cookie shop.
Co-Authors Ananda Andi Marwan Elhanafi Ari Usman, Ari Arief Budiman Arief Budiman Arief Budiman Arnes Sembiring Asih, Munjiat Setiani Budi Chatarina Umbul Wahyuni Damayanti, Fera David David Dedi Irwan Diansyah, T M Didia Cristy Sigalingging Eka, Muhammad Eko Prasetyo Evi Triana Fachri, Barany Fahmi, Muhammad Azis Ginting, Rizaldy Gunawan, Wahyu Cavin Haida Dafitri, Haida Handoko, Divi Harahap, Febri Alfiani Putri Harahap, Herlina Hasibuan, Ade Zulkarnain Indah Paramita, Indah IRWAN, DEDY Jariansyah, Rafi Khairunnisa Khairunnisa Khairunnisa Khairunnisa Lestari, Yuyun Dwi Liza, Risko Maesaroh, Sri Wulandari Marito, Anggi Mufida Khairani Mufida Khairani Muhammad Fitra Hanafiah Muhammad Wahyu Hidayat, Muhammad Wahyu Nafila Hayati Lubis Ndruru, Rejeki Nur Wulan Nur Wulan Nur Wulan, Nur Nurul Fajrina Puspita, Fanny Tania Ghia Qoshwie Fuady Rachmad Aulia Rachmat Aulia, Rachmat Regita Firanti Rismayanti Rismayanti Rismayanti Rizky Ainul Prasetio Rozy, Ahmad Rusmin Saragih, Rusmin Sarudin Sarudin, Sarudin Siregar, Rosyidah Siregar, Yunita Sari Sitepu, Feza Rahman Siti Sundari Suci Wulandari Supiyandi Supiyandi Suriati Suriati, Suriati Syahputri, Nenna Irsa Tommy Tommy Ummul Khair Widia Sari Arezda Purba Yuyun Dwi Lestari Yuyun Dwi Lestari Yuyun Dwi Lestari2 Zulhendri