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Telematika : Jurnal Informatika dan Teknologi Informasi
ISSN : 1829667X     EISSN : 24609021     DOI : 10.31315
Core Subject : Engineering,
Arjuna Subject : -
Articles 361 Documents
Multiplatform-Based Digital Market Designs as Marketing and Sales Media of MSME Products in Pleret Village Taufiq Kamal; Zulfatun Ruscitasari; Yana Hendriana; Wahma Ravenna Rafail
Telematika Vol 18, No 3 (2021): Edisi Oktober 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i3.6004

Abstract

Purpose : This study aims to design a multiplatform-based digital market to help rural MSMEs (Micro, Small, Medium Enterprises) market and sell their products in order to increase the competitiveness of MSMEs.Design/methodology/approach : The design of the digital platform of Ngedolke.com used a design thinking strategy. This study used the black box method to test the functional suitability of the developed application.Findings/result : This study produces an analysis and system design that is used to develop the digital platform of Ngedolke.com. Thus, it can be used to develop the system further.Originality/value/state of the art : The difference between this study and previous studies lies in the use of system design of a design thinking strategy. Besides, the technology used is multiplatform-based.
The Design of an Android-Based Integrated Islamic Boarding School Information System as an Impact of Covid-19 Syauqie Muhammad Marier; Anis Susila Abadi
Telematika Vol 18, No 3 (2021): Edisi Oktober 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i3.5453

Abstract

Purpose: This study aims so that all information that is spread through various information systems in Islamic boarding schools can be known through an integrated systemDesign/methodology/approach: The method of developing the system using the prototype methodFindings/result: Android-based integrated information systemOriginality/value/state of the art: System integration in Islamic boarding schools that is carried out is the integration process of various systems that previously existed
Geographic Information System Design for Bridge Management in Brebes Regency Abdulloh Badruzzaman; Yana Hendriana
Telematika Vol 18, No 3 (2021): Edisi Oktober 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i3.5463

Abstract

Purpose: geographic information system (GIS) design to monitoring and management of bridges that have geographic references, as well as a tool for planning activity programs (maintenance, rehabilitation, strengthening or replacement) of bridges.Design/methodology/approach: waterfallFindings/result: web-based geographic information system (GIS) for bridge management in Brebes RegencyOriginality/value/state of the art: this research does not only focus on site search as the main strength of GIS but maximizes bridge inspection activities as an important part of the bridge management system as a tool for planning bridge construction and maintenance activities
Multimedia Mobile Application of National Heroes History Learning for Children's Character Education ANIS SUSILA ABADI; PIPIT FEBRIANA DEWI
Telematika Vol 18, No 3 (2021): Edisi Oktober 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i3.5542

Abstract

Purpose: develope a multimedia application about the history of national heroes from Indonesia.Design/methodology/approach: the method used is the UCD (User Centered Design) method.Findings/result: this multimedia mobile application of national heroes history learning for children's character education has succeeded in meeting user needs.Originality/value/state of the art: a multimedia application about the history of national heroes from Indonesia.
Recurrent Neural Network With Gate Recurrent Unit For Stock Price Prediction Afif Ilham Caniago; Wilis Kaswidjanti; Juwairiah Juwairiah
Telematika Vol 18, No 3 (2021): Edisi Oktober 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i3.6650

Abstract

Stock price prediction is a solution to reduce the risk of loss from investing in stocks go public. Although stock prices can be analyzed by stock experts, this analysis is analytical bias. Recurrent Neural Network (RNN) is a machine learning algorithm that can predict a time series data, non-linear data and non-stationary. However, RNNs have a vanishing gradient problem when dealing with long memory dependencies. The Gate Recurrent Unit (GRU) has the ability to handle long memory dependency data. In this study, researchers will evaluate the parameters of the RNN-GRU architecture that affect predictions with MAE, RMSE, DA, and MAPE as benchmarks. The architectural parameters tested are the number of units/neurons, hidden layers (Shallow and Stacked) and input data (Chartist and TA). The best number of units/neurons is not the same in all predicted cases. The best architecture of RNN-GRU is Stacked. The best input data is TA. Stock price predictions with RNN-GRU have different performance depending on how far the model predicts and the company's liquidity. The error value in this study (MAE, RMSE, MAPE) constantly increases as the label range increases. In this study, there are six data on stock prices with different companies. Liquid companies have a lower error value than non-liquid companies.
Sistem Informasi Manajemen Notulen (E-RISALAH) Konversi Voice to Text Darwanto Darwanto; Nurirwan Saputra; Ari Kusuma Wardana
Telematika Vol 18, No 3 (2021): Edisi Oktober 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i3.5483

Abstract

Tujuan:Penelitian ini dilakukan untuk membantu notulis merisalahkan hasil rapat atau pertemuan dari suara menjadi tulisan. Sehingga kerja notulis lebih ringan dan menjaga kesehatan pendengaran. Perancangan/metode/pendekatan:Penelitian ini melalui beberapa tahap, yaitu perencaaan (planning), analisis (analysis), perancangan (design), dan implementasi (implementation). Hasil:Sistem Informasi Manajemen Notulen (E-RISALAH) Konversi Voice to Text berbasis website. Keaslian/state of the art:Risalah rapat adalah kegiatan mencatat atau menyalin seluruh hasil dari pertemuan. Dalam pelaksaan masih dikerjakan secara manual, dengan mendengarkan rekaman dan menyalin atau diketik secara manual, selain kurang efektif penggunaan headset dalam waktu yang lama dapat menggangu kesehatan pendengaran. Seiring perkembangan ilmu dan teknologi, maka dibuatlah sebuah sistem yang akan membantu merisalahkan hasil rapat dari suara menjadi tulisan. Dengan teknologi speech recognition dimana ini adalah sebuah kemampuan yang dimiliki oleh mesin atau aplikasi untuk mengindentifikasi kata dan frasa yang terdapat dalam bahasa lisan. Sehingga kerja notulis lebih ringan dan menjaga kesehatan pendengaran.
K-Means Algorithm and Binary Search on FiBuSI Ahmad Khuzaifi; Ratih Titi Komala Sari
Telematika Vol 18, No 3 (2021): Edisi Oktober 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i3.6300

Abstract

Purpose: Create an application called FiBuSI (Find Business and Stock Investment) using the k-means algorithm and binary search for data search features. This application is intended for entrepreneurs and investors where they can interact with each other to build a joint business.Method: Using the RAD (Rapid Application Development) Method which focuses on system testing based on user experience related to Blackbox Testing using the Katalon Studio tools for testing functions on the FiBuSI application.Result: Based on the results of testing the FiBuSI application which focuses on the success of application functions and algorithm implementation, that each application function is successfully executed (PASSED) based on testing using the Katalon Studio tools. Meanwhile, testing the k-means algorithm (data filter) and binary search (search for letter data) was also successfully carried out by testing it directly by the user on the FiBuSI application and also using the results from the Katalon Studio tools.State of the art: Based on several studies that have been done previously related to the use of the k-means algorithm and binary search that this algorithm is carried out on 2 different features but in 1 application for business data search. In concept, the FiBuSI application focuses on bringing together entrepreneurs and investors in one platform.
Penerapan Jaringan Syaraf Tiruan pada Hidung Elektronik Cerdas untuk Deteksi Daging Babi MS Hendriyawan A; Baby Aries
Telematika Vol 18, No 3 (2021): Edisi Oktober 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i3.6185

Abstract

Tingkat komsumsi daging sapi di Indonesia terus naik dari tahun ke tahun terlihat dari permintaan pasar yang terus meningkat terutama pada perayaan hari besar dan hari raya. Akan tetapi peningkatan permintaan pasar akan daging sapi masih kerap dimanfaatkan oleh oknum tak bertanggung jawab yang mencampur daging sapi dengan daging babi. berdasarkan fakta tersebut maka dibuat sebuah sistem electronic nose yang dapat membedakan antara daging sapi murni dengan daging sapi bercampur babi berdasarkan karakteristik aroma. Alat ini menerapkan jaringan syaraf tiruan (JST) backpropagation yang dilatih menggunakan aplikasi MATLAB untuk mengenali pola dari aroma sampel daging yang ditangkap menggunakan rangkaian sensor gas TGS2602, TGS2620, TGS2610 dan TGS2611, kemudian mengklasifikasikannya dalam dua kelas yaitu MURNI dan CAMPURAN. Sampel daging segar yang digunakan untuk pengujian ada 4 macam yaitu daging sapi murni, daging campuran 25%, 50% dan 75% dengan total sampel sebanyak 30 terdiri dari 15 sampel murni dan 15 sampel campuran. Dari pengujian tersebut didapat nilai akurasi, presisi, sensitivity dan specificity sebesar 100% menggunakan confusion matrix.
Learning and Playing in Early Childhood with Augmented Reality Technology Doni El Rezen Purba; Parasian Silitonga
Telematika Vol 18, No 3 (2021): Edisi Oktober 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i3.5569

Abstract

Purpose: Helping the learning process in early childhood through playing and learning activities with Augmented Reality technology.Design/methodology/approach: Using Augmented Reality technology with the Iterative Rapid Paper Prototype system development methodFindings/result: Based on tests conducted on 5 types of android devices, 10 samples of early childhood participants (4-5 years) and 5 groups of objects consisting of 10 types resulted in an increase in learning ability of 33.35% which was sourced from the measurement of the correct answers that were successfully obtained. between learning methods through pictures and learning using Augmented Reality technologyOriginality/value/state of the art: In previous research, the learning model was carried out on elementary school children (aged 6 years and over) and without the implementation of Augmented Reality technology
Identification Of Keywords That Impact Of Increasing The Click Through Rate Of Online Advertising On Search Engines Aris Wahyu Murdiyanto; Aris Wahyu Murdiyanto; Arif Himawan
Telematika Vol 19, No 1 (2022): Edisi Februari 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i1.6450

Abstract

Purpose: To identify keywords that can be chosen to increase CTR on the website so that the potential revenue of targeted prospects through search engines is higher.Design/methodology/approach: This study applies the weighted product method based on the criteria that will be determined to find the best keyword list.Findings/result: The results of identification by ranking using the weighted product method based on the criteria C1, C2, and C3 resulted in an average increase in CTR of 16.18% to 22.92%. With this increase, business owners can be more efficient in the online advertising process.Originality/value/state of the art: The identification of keywords that can be chosen to increase CTR on a website by ranking using the weighted product method has never been done by previous researchers. 

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