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INDONESIA
Jurnal Teknoinfo
Published by Universitas Teknokrat Indonesia
ISSN : 16930010     EISSN : 2615224X     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Teknoinfo is a peer-reviewed scientific Open Access journal that published by Universitas Teknokrat Indonesia. This Journal is built with the aim to expand and create innovation concepts, theories, paradigms, perspectives and methodologies in the sciences of Informatics Engineering. The articles published in this journal can be the result of conceptual thinking, ideas, innovation, creativity, best practices, book review and research results that have been done. Jurnal Teknoinfo publishes scientific articles twice a year in January and July.
Arjuna Subject : -
Articles 270 Documents
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WEBSITE-BASED INVENTORY APPLICATION USING EXTREME PROGRAMMING METHOD AT SINAR JAYA MOTOR COMPANY Malvin Adrianus; Honni Po
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2817

Abstract

Sinar Jaya Motor Company is a company engaged in the provision of car and truck spare parts services based in Jakarta. In the activities of processing warehouse goods data, incoming goods data, outgoing goods data, factory return data, order return data, order data, the process of making reports for business processes with these data is still done manually, causing problems, namely inaccuracy of goods data due to process data entry is still long, prone to errors and report generation takes quite a long time because you have to do a document search first. The research objective is to produce a website-based inventory application that can solve problems at the Sinar Jaya Motor company. Data collection methods in this study were literature study, interview methods, and observation, while the system design method used was Extreme Programming which consisted of planning, designing, coding, and testing stages. In its design, the researcher adopts a structured programming paradigm and is written using the HTML, CSS, PHP, Javascript and MySQL database programming languages. The author will also use the Boostrap5 framework to produce an attractive and responsive website appearance. It is hoped that the existence of a website-based web inventory which is the result of this research can be used for data entry of warehouse goods, incoming goods data, outgoing goods data, factory return data, order return data, order data so as to produce reports for all business processes within the company, storage and document printing. The conclusion of this study is that the website-based inventory application for transporting goods that has been built can help solve the problems experienced by the Sinar Jaya Motor company in managing goods data and other data and make it easier for this company's employees to make and print documents and monthly reports so as to facilitate the process ongoing business.
PERBANDINGAN KINERJA ALGORITMA DATAMINING UNTUK PREDIKSI KELULUSAN MAHASIWA Sadimin Sadimin; Handoyo Widi Nugroho
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2619

Abstract

Along with the development of technology, especially the development of increasingly large data storage. One organization that has large data storage is an educational organization. Educational organizations use data to obtain information, especially information about students. Student data has many attributes so that we can make predictions such as predictions of student performance, predictions of scholarship recipients and predictions of student graduation. Data mining methods in education are classified into five dimensions, one of which is prediction, such as predicting output values based on input data. From the results of the research conducted from the initial stage to the testing stage of the application of the C4.5 Algorithm, the accuracy results are higher than Naïve Bayes because in its classification stage, C4.5 processes attribute data one by one. The difference is with naïve Bayes which is influenced by the amount of data used, the comparison of the amount of training and testing data. The feasibility of the model obtained is supported by the high accuracy, precision, recall and AUC obtained from the two algorithms that have been tested. The C4.5 algorithm has an accuracy rate of 79.91%, 89.06% precision and 81.38% recall and an AUC value of 0.823. Meanwhile, Naïve Bayes has an accuracy rate of 76.95%, precision of 75.95% and recall of 98.38% and an AUC value of 0.838.
PENGUKURAN SEMANTIC SIMILARITY PADA GEN PFCRT DAN DHFR BERBASIS ONTOLOGY Dinar Munggaran Akhmad; Siska Andriani
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2583

Abstract

One of the obstacles in the treatment of malaria caused by Plasmodium falciparum is the existence of resistance to antimalarial drugs including chloroquine and sulfadoxine-phyrimethamine. Genes known to be resistant to chloroquine are P. falciparum chloroquine resistance (pfcrt) while Dihydrofolate reductase (dhfr) is resistant to sulfadoxinephyrimethamine. One way to trace gene information is through Gene Ontology by calculating its semantically similarity through Wang's path length approach. The value of similarity between the pfcrt and dhfr genes was tested for the three components in Gene Ontology using Wang's method for Ontology documents. The results showed that the highest similarity value was in the Cellular Component of 0.565, because it has similarities in several components such as the Endoplasmic Reticulum and Cytoplasm. Thus this study is expected to provide initial information regarding resistance and can detect other genes that indicate resistance before further molecular research.
DETECTION OF HUMAN GENDER FROM EYES IMAGES USING DNN APPROACH Muhammad Waqas Arshad
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2457

Abstract

Gender identification is a crucial technique that can enhance the performance of authentication systems. Due to its variety of applications, human gender detection, a component of face recognition, has drawn a lot of interest. Previous studies on gender identification have relied on static features of the body, such as the face, eyebrows, hands, bodies, fingernails, etc. The abundance of face picture datasets available today has led to the development of several effective machine learning and deep learning techniques. When using classical machine learning techniques, it is essential to extract precise features from datasets in order to obtain favorable classification results. c Deep neural networks have the ability to explore hidden and unexpected feature sets, improving classification performance above conventional machine learning techniques. It can address the issue of the variable nature of facial signals between origins, which makes accurate feature extraction challenging. The effectiveness of the pre-trained DNN models is examined in this study when there is a dearth of data. Due to this issue, only the areas of the one eye picture with brows were considered in this study to classify the gender, as opposed to the entire face. The performance findings indicate that EfficientNetb7 is the best model and give better accuracy as compared to Xception, InceptionResNetV2, VGG16 and Resnet50.
RANCANG BANGUN SISTEM INFORMASI RISALAH RAPAT (SIRIPAT) SEKRETARIAT DPRD KOTA TEGAL Dany Pratmanto; Rousyati Rousyati; Ayu Amarcia Ananda Santoso Wijoyo; Inggit Ayu Arifiyanti; Fandhilah Fandhilah; Liesnaningsih Liesnaningsih
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2670

Abstract

Penelitian ini bertujuan untuk mengembangkan sebuah sistem informasi risalah rapat yang efektif dan efisien, yang akan memudahkan proses pencarian kembali risalah-risalah yang telah disimpan dan mengurangi pemborosan waktu dalam rapat. Dalam kondisi saat ini, proses pencatatan hasil rapat masih menggunakan cara konvensional yang rentan terhadap kehilangan data dan kesalahan pencatatan. Dengan Siripat, diharapkan DPRD Kota Tegal dapat meningkatkan kualitas manajemen rapat dan masyarakat dapat memperoleh informasi yang cepat, tepat, dan akurat. Metode waterfall digunakan sebagai metode pengembangan pembuatan website Siripat, dengan menggunakan bahasa pemrograman PHP, HTML, dan Javascript serta perangkat lunak XAMPP dan Atom. Desain sistem menggunakan Enterprise Architecture. Teknologi informasi semakin penting dalam mengelola bisnis dan instansi pemerintahan, sehingga Siripat dapat menjadi contoh penggunaan teknologi informasi yang efektif dalam instansi pemerintahan. Dengan Siripat, diharapkan proses manajemen rapat dapat berjalan lebih efisien dan efektif, serta memudahkan proses pencarian kembali risalah-risalah yang telah disimpan.
EKSTRAKSI CITRA MENGGUNAKAN METODE LAPLACIAN DAN SVM (SUPPORT VECTOR MACHINE) UNTUK IDENTIFIKASI JENIS TANAMAN PAKU BERDASARKAN CITRA SPORA Sufiatul Maryana; Herfina Herfina; Arie Qurania; Herlinda Herlinda
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2579

Abstract

Spores are a breeding tool for ferns (Pteridophyta) which are generally found under the surface of each leaf. Research on the characteristics of Pteridophyta spores is generally done by observing their size and shape to see the type of spore. The method that will be carried out in this study requires a lot of understanding, experience, accuracy and time to achieve high accuracy in determining the type. Based on these reasons, it is necessary to develop another technique with modeling to help identify the type of Pteridophyta in the spore. This paper discusses image extraction for fern identification based on spore images using the Laplacian method and SVM. Laplacian method is used to extract features from spore images, while SVM is used to classify ferns. This method requires a lot of understanding, experience, accuracy and time to achieve high accuracy in determining the type. Based on these reasons, it is necessary to develop another technique with modeling to help identify the type of Pteridophyta in the spore. The purpose of this research is to make Support Vector Machine (SVM) modeling to identify fern species based on spore images in Eigen space. The data used are spore images with four classes, each of which has 24 data per class with a total of 96 images. The method used in this research is Laplacian method for feature extraction and SVM for data classification using Gaussian RBF and Polynomial kernel function experiments. The result of this research is the accuracy of each extraction that has been tried. The best result lies in the RBF kernel function with 70% feature extraction and 10 parameters with an accuracy of 98.96%.
BUSINESS INTELLIGENCE MATURITY ASSESSMENT: A CASE STUDY ON AN INDONESIAN AUTOMOTIVE COMPANY Ajie Tri Hutama; Achmad Nizar Hidayanto; Ryan Randy Suryono
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2443

Abstract

The increasing volume of data, systems that became more complex, and the need for tools to collect, store and process data have driven automotive companies to implement Business Intelligence (BI) system. Successful adoption of BI technology enables organizations to have higher business effectiveness and IT investment. In the organization that newly adopt BI technology, BI Project often failed. In organizations that already implement BI system, also often unable to get full benefits of the system. Maturity assessment is a method for assessing to which maturity level of human resources, organizational processes, and technology is implemented in an organization or company. By conducting it will provide the company with an overview of where the current maturity level is and provides an overview of the roadmap for achieving a higher maturity level where a higher level results in good business effectiveness. Investigate the maturity level of BI system focusing on an Indonesian automotive company and which parameter need to be improved are the objectives of this study. For BI maturity assessment in an Indonesian automotive company, we use the Business Intelligence maturity model (biMM) [1]. The study found that the overall organization’s maturity level to adopt BI system is 3.05 which means company is on the third stage biMM: information integration. Technology maturity is on the lowest point with an average of 2.87 point, Functionality is in the middle with 2.94 point, and Organization have highest point with 3.26 point. The company can improve on SLA Awareness, Data Management, and Data Architecture while retaining the performance of BI Strategy & BI Governance.
IMPLEMENTASI FILTER AUGMENTED REALITY SEBAGAI STRATEGI BRAND MARKETING UNTUK MENINGKATKAN PENJUALAN Arista Febrian Nugraha; Syaipul Ramdhan; Nyi Dewi Puspitasari
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.3112

Abstract

This study discusses the application of Augmented Reality (AR) filters in brand marketing strategies to increase sales. AR filters enable companies to create creative content that captures consumer attention, increases engagement and strengthens brand awareness. AR filters provide consumers with a personalized experience, enabling interaction with brands through unique visual displays. In a marketing context, AR filters can increase social engagement and extend brand reach through sharing user experiences on social media. AR filter usage data can provide valuable analytical insights for optimizing marketing campaigns. This study analyzes examples of using AR filters, challenges, and provides practical recommendations for companies wishing to adopt this strategy. Metric data shows 2.3k times opened, 866 times image captured, 126 times saved, 218 times shared, 1.1k used, 567 impressions. Usage results showed a significant increase in sales of Benfarm products from 61 pcs in April to 156 in May, sales up 200%.
RESOURCE GOVERNANCE EVALUATION TO ENHANCE COMPETITIVE ADVANTAGE IN BANKING: A COBIT 5 APPROACH Gustian Rama Putra; Wahyu Sardjono; Rafi Athallah; Andi Nurkholis
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2628

Abstract

Bank XYZ is a bank that has been standing for more than 40 years and is engaged in giving the best of financial services. The company has been improving the use of IS/IT within the company for the past few years to support and elevate their business process to the next level and gaining competitive advantages in the banking sector. Within the development of there IS/IT services, the company stumbled on a few problems regarding IT resources used in the company. For this reason, in this study, the researcher took measurements of the levels of capability in IT Resource governance using the COBIT 5 framework as a standard framework for IT governance. The result of this research showed that the average enterprise capability is still at level 1 (performed) where the company’s target is level 3 (established)
PENERAPAN METODE SMART DALAM MENGANALISA KEPUTUSAN KLASIFIKASI BADAN USAHA MILIK DESA Robi Yanto; Syafi'ul Hamidani
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2378

Abstract

Membangun desa dapat diwujudkan melalui pengelolaan bisnis di desa melalui badan usaha milik desa. bumdesa dapat dikatakan berperan penting jika memiliki kemampuan dan sarana yang memadai. Melalui program dana desa dimana desa akan diberikan bantuan dana yang bertujuan untuk pengembangan potensi dan roda perekonomian desa. sehingga dibutuhkan bumdesa yang maju untuk mendukung pertumbuhan suatu desa. melalui analisa dalam klasifikasi badan usaha milik desa maka dapat diketahui bumdesa yang berperan dalam pertumbuhan ekonomi desa. Dalam penelitian ini, dilakukan analisa klasifikasi badan usaha milik desa menggunakan metode simple multi attribut rating technique berdasarkan 4 tingkatan perkembangan yaitu dasar, tumbuh, berkembang dan maju. Adapun kriteria yang mempengaruhi sebanyak 12 kriteria dan 48 subkriteria. Alternatif yang digunakan adalah bumdesa pada kecamatan megang sakti. Kemudian dibangun sistem yang dapat digunakan dalam proses klasifikasi bumdesa yaitu dengan menggunakan bahasa pemrograman php dan database management system Mysql yang digunakan untuk melakukan proses klasifikasi badan usaha milik desa sesuai dengan klasifikasi yang telah ditentukan. adapun hasil Analisa klasifikasi menggunakan metode Smart dan sistem pendukung keputusan yang dibangun menghasilkan nilai rekomendasi yang sama yaitu alternatif A1,A2,A3,A5,A7 dan A8 klasifikasi Dasar, sedangkan alternatif A4,A6,A9,A10 adalah klasifikasi Tumbuh dengan nilai tertinggi pada pada alteratif ke 10 yaitu 68,75 sedangkan nilai terendah pada klasifikasi dasar yaitu 30. Dari hasil pengujian sistem menggunakan teknik pengujian acceptance testing user dihasilkan penilaian 80 % pengguna menyatakan sistem sudah sesuai dengan kebutuhan pengguna

Page 21 of 27 | Total Record : 270

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