cover
Contact Name
Eri Sasmita Susanto
Contact Email
eri.sasmita.susanto@uts.ac.id
Phone
+6287739570750
Journal Mail Official
jurnal.informatika@uts.ac.id
Editorial Address
Jln. Raya Olat Maras, Batu Alang, Kec. Moyo Hulu, Kab. Sumbawa Besar, Nusa Tenggara Barat. 84371
Location
Kab. sumbawa,
Nusa tenggara barat
INDONESIA
Jurnal Informatika Teknologi dan Sains (Jinteks)
ISSN : -     EISSN : 26863359     DOI : https://doi.org/10.51401/jinteks.v3i3.1260
Jurnal Informatika Teknologi dan Sains (JINTEKS) merupakan media publikasi yang dikelola oleh Program Studi Informatika, Fakultas Teknik dengan ruang lingkup publikasi terkait dengan tema tema riset sesuai dengan bidang keilmuan Informatika yang meliputi Algoritm, Software Enginering, Network & Security serta Artificial Inteligence. disamping itu Jurnal Informatika Teknologi dan Sains (JINTEKS) juga mengelola publikasi yang terkait dengan ilmu Keteknikan / Engineering dan bidang sains yang meliputi matematika komputasi, Biomatematika serta Fisika terapan yang mengarah pada komputasi. Tujuan dan Lingkup Jurnal Jurnal Informatika Teknologi Dan Sains (JINTEKS) akan memuat hasil-hasil penelitian dan pengabdian masyarakat dalam bidang Teknologi Informasi, Komputer dan Sains yang belum pernah diterbitkan maupun sedang dikirim ke jurnal lain. Lingkup Jurnal Informatika Teknologi Dan Sains (JINTEKS) meliputi bidang Teknologi Informasi, Komputer dan Sains yang meliputi: Pemrograman Database Kecerdasan buatan Jaringan komputer Teknologi cloud Interfacing Sistem embedded Pengolahan citra E-commerce Sistem pengambilan keputusan Komputer Sains serta bidang-bidang lain yang relevan dengan teknologi informasi dan komputer
Articles 586 Documents
DETEKSI KENDARAAN PADA LALU LINTAS MENGGUNAKAN ARTIFICIAL INTELLIGENCE UNTUK MENDUKUNG DENPASAR SMART CITY A.A Istri Ita Paramitha; I Nyoman Mahayasa Adiputra
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.577 KB) | DOI: 10.51401/jinteks.v4i4.2074

Abstract

In order to support Denpasar City towards a Smart City, one of the factors that must be fulfilled is the implementation of Smart Infrastructure. Smart Infrastructure includes the development of IT-based telecommunication networks, transportation, information systems, and management systems. In order to support Denpasar City towards a Smart City, this research will focus on Smart Infrastructure technological innovation. By utilizing artificial intelligence technology to detect vehicles passing through the highway so that traffic monitoring activities can be assisted with computer-based applications. The purpose of this research is to produce an analytic dashboard that can provide traffic information quickly to the Denpasar City Transportation Agency. In this research, traffic vehicle detection will be carried out by utilizing the Tensorflow Object Detection API which has an accuracy rate above 90% based on the results of previous research in the field of Artificial Intelligence. The object used as input is a video in mp4 format which will be read with the OpenCV module. The next process is that there are three parts to be classified in a vehicle.
PENERAPAN KNNIMPUTER DALAM MENGOLAH DATA MISSING VALUE UNTUK MEMBANTU MENINGKATKAN AKURASI SUPPORT VECTOR MACHINE KLASIFIKASI PENYAKIT TIROID Supardianto; Lalu Mutawalli; Wafiah Murniati
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.007 KB) | DOI: 10.51401/jinteks.v4i4.2077

Abstract

Thyroid is a condition of abnormalities in a person due to thyroid disorders. Based on data from the ministry of health in the world, the prevalence of thyroid is still relatively high, if five million babies are born each year, then there are one thousand six hundred babies with hyperthyroidism. The algorithm used for data processing and modeled into knowledge is a support vector machine (SVM), SVM is used for classification. After exploring the datasets of the 23 attributes contained in the datasets, there are 9 attributes that have missing values, including age 4 lines, sex 307 lines, TSH 804 lines, T3 2604 lines, TT4 442 lines, T4U 809 lines, FTI 802 lines, TBG 8823 lines, and target 1626 lines. Based on the evaluation results on the model that has been tested for precision 94%, recall 100%, F1-score 97% with an accumulated accuracy of 93%. The overall total evaluation on the model is 93%.
OPTIMIZATION OF PHOTOGRAPHY SERVICES ORDERING SYSTEM Pulla Pandika Widodo; Fitri Pratiwi; Al Malikul Ikhwanda Putra
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.204 KB) | DOI: 10.51401/jinteks.v4i4.2085

Abstract

The data management system that is currently running at Casamia Studio still uses a handwritten manual system which is prone to various errors that cause calculation errors, difficulty in determining prices, difficulties in searching data, and difficulties in obtaining the required reports. The purpose of this research is to be able to design a web-based information system that is easy to use. In this writing the author designed an information system at Casamia Studio that makes it easier for users to manage various existing service data. The author also uses the Waterfall method to meet the needs of this research. The new system results in an online ordering process, good and correct data storage, and can generate reports quickly and accurately. The existence of this information system is able to help green photography activities more effectively and efficiently in data processing.
ANALISIS KERENTANAN PADA SUATU WEBSITE MENGGUNAKAN TOOLS XSPEAR, XSSCON, DAN PWNXSS Zulvan Avito Anwari; I Gede Pasek Wedana; Jaya Deva; Kadek Dwika Darma Widyaputra; Gede Arna Jude Saskara; I Made Edy Listartha
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.699 KB) | DOI: 10.51401/jinteks.v4i4.2104

Abstract

One way to conduct vulnerability analysis on websites as a preventive control is by scanning. The method used is applied research, focusing on analyzing the results of evaluation to provide information as input or to make certain decisions depending on the urgency of the objectives. Technically, this study will be carried out using 3 main stages of the process, namely determining project boundaries, implementing scanning on the website and analyzing the results of scanning that has been carried out. Scanning is done using XSpear, PwnXSS, XSScon and Acunetix Acuart software as the target website in testing. The scanning process on the Acunetix Acuart website based on the Kali Linux OS went well and resulted in the discovery of weaknesses or vulnerabilities. XSpear found 24 data vulnerabilities, PwnXSS found 45 data vulnerabilities, while XSSCon found 44 data vulnerabilities.
PENENTUAN FAKTOR-FAKTOR PRIORITAS YANG MEMPENGARUHI MASYARAKAT DALAM PENGGUNAAN BUS TRANS METRO DELI MEDAN DENGAN ANALISIS METODE ANALYTIC HIERARCHY PROCESS Maulidya Khairani; Fibri Rakhmawati; Hendra Cipta
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (294.127 KB) | DOI: 10.51401/jinteks.v4i4.2137

Abstract

The emergence of the Bus Trans Metro Deli Medan as a means of public transportation based on BRT (Bus Rapid Transit) has caused City Transportation in the city of Medan to feel competitive and the income earned has decreased due to passengers switching to its use. The purpose of this study is to apply the Analytic Hierarchy Processmethod to the factors that influence the people of Medan in using Bus Trans Metro Deli Medan and to find out the most priority factors. From the research results obtained by applying the Analytic Hierarchy Processthat 80% people of Medan prefer to use Bus Trans Metro Deli Medan with a fare factor of 24%, travel time is 9%, Convenience is 19%, Technology Development is 12%, Travel Accsess is 10%, Service is 15% and Life Style is 11%. So, the cost rate factors is more priority than other factors.
VISUALISASI DATA AKREDITASI PROGRAM STUDI BERBASIS WEB MENGGUNAKAN EXTREME PROGRAMMING Muh. Fahmi Rustan; Hasriani; Nuralamsah Zulkarnaim
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.532 KB) | DOI: 10.51401/jinteks.v4i4.2143

Abstract

The accreditation status of a study program is determined by a lot of data that can support the assessment criteria. The availability of data certainly supports the amount of information that can be obtained so that it will be easier if the data is collected in one accreditation system. Yet it is not easy to understand the information from unstructured data. Thus, a brief and interesting presentation of information on the accreditation system is needed. This can be realized through data visualization where information can be obtained by exploring, understanding, and communicating data. Data visualization is also a tool for conducting data analysis. Moreover, This research aims to develop a study program accreditation system that focuses on educational criteria and is equipped with data visualization that can assist the data analysis process so that users or policymakers are able to make the right decisions. By utilizing the Extreme Programming (XP) method, this research produces a study program accreditation system that is equipped with data visualization which enables to presentation of effective and attractive data displays. The results of this study will make the users be easier to make decisions regarding efforts to achieve study program accreditation.
PENERAPAN KRIPTOGRAFI VIGENERE CIPHER PADA KEAMANAN DATA PESAN TEKS BERBASIS WEBSITE Suwinda Aulansari; Diah Sawitri; Ali Ikhwan
Jurnal Informatika Teknologi dan Sains Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (248.272 KB) | DOI: 10.51401/jinteks.v4i4.2155

Abstract

Security is an urgent component of an information system. However, this is still very rarely realized by the owner or manager of the information system. That results in information being exchanged or compromised by parties who are not supposed to receive the message. Therefore, a data security system is needed so that information doesn’t crash into the wrong hands. To control data security, you can use cryptography, one of which is the vigenere cipher algorithm. This research uses a literature study research method sourced from various journals and experiments by designing and implementing systems. The final result of the application implementing the vigenere cipher algorithm is expected to help maintain the security of information.
PERANCANGAN APLIKASI PENGELOLAAN ALAT-ALAT RUMAH TANGGA BERBASIS ANDROID PADA UD IMAM JAYA KUTACANE, ACEH TENGGARA Muhamad Alda; Fatimah; Nuriah Aini; Ainun Fadilah Nst
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389.918 KB) | DOI: 10.51401/jinteks.v4i4.2165

Abstract

In the household, of course, household appliances are needed to help and simplify all matters in the household. At UD Imam Jaya there are various types of household appliances such as electronic and non-electronic goods, from the many brands and models of household appliances, the goods manager will experience difficulties in managing the data on the goods at UD Imam Jaya. needed to find out the amount of goods or what items are in the warehouse. So in facilitating the management of goods in the warehouse, an application design is needed. So the results of this design are expected to make it easier in terms of searching for the availability of goods, making reports of incoming and outgoing goods transactions and introducing what products are available at UD. Priest Jaya. Keywords: Household appliance, Application Design, Android
IMPLEMENTASI ALGORITMA APRIORI TERHADAP MARKET BASKET ANALYSIS PADA DATA PENJUALAN RETAIL Hilda Fitriana Dewi; Hanny Hikmayanti Handayani; Jamaludin Indra
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 4 No 4 (2022): EDISI 14
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.796 KB) | DOI: 10.51401/jinteks.v4i4.2182

Abstract

Perusahaan retail berkembang dengan sangat cepat dan memungkinkan ada permasalahan yang sering dihadapi perusahaan, termasuk kurangnya sistem yang mengatasi tata letak produk. Selain itu, terdapat beberapa perusahaan yang belum mengetahui pola pembelian barang konsumen. Masalah lainnya adalah belum adanya sistem penyimpanan yang efisien. Permasalahan tersebut maka dibutuhkan penerapan data mining. Metode yang digunakan menggunakan algoritma apriori. Hasil penelitian ini apabila konsumen membeli item Round Snack Boxes Set Of 4 Fruits, maka konsumen juga membeli Round Snack Boxes Set Of4 Woodland dengan nilai support 13% dan nilai confidence 78%. Apabila konsumen membeli Spaceboy Lunch Box, maka konsumen membeli Round Snack Boxes Set Of4 Woodland dengan nilai support 7% dan nilai confidence 63%. Apabila konsumen membeli Round Snack Boxes Set Of4 Woodland, maka membeli Round Snack Boxes Set Of 4 Fruits dengan nilai support 13% dan nilai confidece 53%. Penjualan yang paling diminati oleh konsumen dari data penjualan retail ini ialah Round Snack Boxes Set Of 4 Fruits, Round Snack Boxes Set Of4 Woodland, dan Spaceboy Lunch Box.
TEXT MINIG CLUSTERING UNTUK PENGELOMPOKAN TOPIK DOKUMEN PENELITIAN MENGGUNAKAN ALGORITMA K-MEANS DENGAN COSINE SIMILARITY Nengah Widya Utami; I Gede Juliana Eka Putra
Jurnal Informatika Teknologi dan Sains Vol 4 No 3 (2022): EDISI 13
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.638 KB) | DOI: 10.51401/jinteks.v4i3.1907

Abstract

Penelitian merupakan salah satu unsur yang wajib dilakukan baik oleh dosen maupun mahasiswa di perguruan tinggi. Dalam hal ini memungkinkan para peneliti mengambil topik yang sama atau hampir serupa. Melalui penelitian ini akan dilakukan analisis untuk mengelompokkan dokumen penelitian. Hasil dari pengelompokan dokumen penelitian ini akan memperlihatkan bagaimana pola kemiripan dan keterkaitan antar penelitian dalam bentuk cluster. Data yang digunakan dalam penelitian ini adalah judul penelitian dosen tahun 2019-2021 berumlah 52 data. Proses ekstraksi dokumen dilakukan dengan menggunakan proses text mining, sedangkan untuk proses pengelompokan dokumen dilakukan dengan menggunakan metode k-means clustering dengan cosine similarity. Pada tahap text mining dilakukan proses preprocessing diantaranya proses tokenization, filtering dan stemming. Algoritma K-Means mampu menghasilkan cluster optimal yang berjumlah 6 cluster. Trend topik penelitian yang dilakukan dosen di STMIK Primakara meliputi Pengembangan dan Evaluasi Sistem Informasi, E-Government, Data Mining, Teknologi Pendidikan, Machine Learning/Artificial Intelligence, serta Manajemen dan Bisnis.