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Jurnal Teknik Informatika dan Teknologi Informasi
Published by Lembaga Pengembangan Kinerja Dosen
ISSN : 28279379     EISSN : 28279387     DOI : 10.55606
Core Subject : Science,
Computer Science & IT
Jurnal Teknik Informatika dan Teknik Informasi (JUTITI) adalah jurnal ilmiah peer review yang diterbitkan oleh Politeknik Pratama. Jurnal Teknik Informatika dan Teknik Informasi (JUTITI) terbit dalam tiga edisi dalam setahun, yaitu edisi Februari, Juni dan Oktober. Kontributor Jurnal Teknik Informatika dan Teknik Informasi (JUTITI) berasal dari peneliti, akademisi (dosen dan mahasiswa) di bidang Teknik Informatika dan Teknik Informasi. Jurnal Teknik Informatika dan Teknik Informasi. memiliki fokus dan ruang lingkup yang terdiri dari: Computer Architecture Parallel and Distributed Computer Pervasive Computing Computer Network Embedded System Human—Computer Interaction Virtual/Augmented Reality Computer Security Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods) Programming (Programming Methodology and Paradigm) Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data) Network Traffic Modeling
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 197 Documents
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Analisis Transaksi Penjualan Pada Recovery.u Computer Menggunakan Algoritma Naive Bayes Almira Dwi Yuliarti; Corrinna Salsabila Amelia; Dewi Ika Sukarno Putri; Chaerur Rozikin
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 3 No. 3 (2023): Desember : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v3i3.3144

Abstract

As time passes, the competition in the realm of venture and technologyis quickly increasing, so that business people are competing to expand their business by utilizing existing technology, and also that their business always survives and thrives in the rapid business competition. Sales at Recovery.u Computer are supposed to continue to mount benefit, one of which is by providing products to market demand so that no harm occur. During this time the company often suffers losses because it does not have a system to predict sales. This research has been past perform and attest that the Naïve Bayes Algorithm can be used to predict sales of products and services at Recovery.u Computer. The research data consists of 4 attributes, namely, transaction date, product line, brand, and purchase status obtained from Recovery.u Computer from January 2023 – October 2023. The yield of the estimation that have been it is known that the calculation procces is assisted by WEKA software, by making a possibility table of each variable and an exactness rate of 98,6248% on the test data that has been curried out, and purposeful this can be informed to Recovery.u Computer to do wiser policy in the future.
Pengembangan Media Pembelajaran Interaktif Berbasis Mobile Bermuatan Problem Based Learning Mata Pelajaran Informatika Pada Kelas X Fase E Di SMA N 1 Koto Balingka Eti Safitri; Hari Antoni Musril; Sinta Marito
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 3 No. 3 (2023): Desember : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v3i3.3252

Abstract

Researchers conducted research at SMA N 1 Koto Balingka which was motivated by the decline in the quality of student learning outcomes. This is due to the lack of learning media facilities in Informatics subjects, such as the lack of development of interesting and effective mobile-based interactive learning media with the Problem Based Learning model in class X phase E at SMA N 1 Koto Balingka, thus making students experience difficulties in understanding the material. lesson . This research aims to design and build Android-based interactive learning media with the theme Problem Based Learning in informatics subjects. This research is field research (field research) which is descriptive qualitative in nature. The key informants in this case are class X students and Informatics teachers at SMA N 1 Koto Balingka. To analyze the data, researchers grouped it based on existing problems.
Analisis Berfikir Komputasional Siswa SMP pada Kurikulum Merdeka Mata Pelajaran Informatika Ike Sugiarti; Hari Antoni Musril; Silviani Dwi Putri
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 3 No. 3 (2023): Desember : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v3i3.3350

Abstract

The aim of this study was to determine the analysis of students' computational thinking skills on spreadsheets using Microsoft Excel. This type of research is descriptive with the use of qualitative methods. This study used a population of class VII students at SMP Negeri 2 Koto Baru. The sample used was 36 students in class VII-D. Data collection was carried out using practicum tests in the computer lab according to the lesson schedule, by assigning the creation of population information tables in Microsoft Paint. The assignment contains all indicators of computational thinking agility including; abstraction, decomposition, algorithm, and data recognition. The ability to think computationally produces student output with a high category of 31%, a moderate category of 50%, and a low category of 19%. Through the results of observations, it can be concluded that students who are in the high category have exceeded all standardized computational capacity indicators. While students in the moderate category show that all indicators of computational thinking capacity have been achieved. Meanwhile, most students who are in the low category have not achieved all the indicators in computational thinking processes.
Pengembangan Gim Serius Untuk Pengenalan Jamu Menggunakan Metodologi Putaran Permainan Dimas Putra Andaru; Pratama Wirya Atmaja; Firza Prima Aditiawan
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 1 (2024): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v4i1.3415

Abstract

Jamu is a traditional herbal beverage that represents a cultural heritage with various health benefits. Despite this, adolescents tend to turn to chemical medications. This research proposes the development of an educational and engaging serious game to introduce jamu to the adolescent age group. The gameplay loop methodology is employed to ensure optimal connectivity between the game system and jamu educational content. The game design has been successfully implemented in the development of the game using the Unity game engine, resulting in an educational game based on significance testing and GUESS validation. The game is also deemed engaging based on the correlation test results. The Gameplay Loop method successfully maintains the connectivity between educational content and the game system, indicating that the game effectively imparts understanding of jamu to its players.
Klasifikasi Penyakit Daun Tomat Menggunakan Algoritma K-NN Berdasarkan Ekstraksi Fitur GLCM dan LBP Fuad Mahrus Fathoni
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 1 (2024): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v4i1.3417

Abstract

Tomatoes are widely cultivated in Indonesia and are one of the crops with high economic value. According to the Central Bureau of Statistics, the Indonesian nation has the capacity to produce up to 1. 17 million tons of tomatoes in 2020. Tomatoes contain ingredients that the body needs. Additionally, grapes can also be consumed in different forms. However, tomato production in Indonesia decreased from 2013 to 2015 due to the spread of pests. Therefore, we conducted a study to classify tomato leaf diseases using the K-nearest neighbor method based on the grayscale coexistence matrix and the extraction of local binary pattern features. The data used was 9157 data obtained from the Plant Village database and classified into 6 classes (healthy, spot fungus, late blight, leaf mold, mosaic virus, spider mite, and target spot). The testing process was performed using the K-fold cross-validation technique, followed by performance calculations using the confusion matrix method. The highest accuracy was obtained at 86.8% when classifying using K9 and K10 with a precision value 40.6% and recall 49.2% when classifying using a value of K = 9, and precision 49.7% and recall of 49.3% when classifying using a value of K = 10.
Social Media Instagram, Tiktok, dan X Dalam Pengungkapan Pelanggaran Hukum Dalam Konflik Antara Palestina Dan Israel Andy Satria; M.Taufiq Kurniawan; Putri Imilia Amanda; Daniyal Arkan
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 1 (2024): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v4i1.3419

Abstract

This research explores the role of social media (Instagram, TikTok, and Platform X) in exposing legal violations during the Palestine-Israel conflict. The study aims to understand the impact of these three platforms through the Instagram account @suarasurabayamedia. The findings indicate that Instagram accelerates information dissemination and visual impact, TikTok creates mass awareness through short video formats, and Platform X provides space for diverse perspectives. The social media's focus on Israeli atrocities influences public opinion, supports international solidarity movements, and triggers international pressure and UN resolutions. The impact of social media involves information dissemination, support, amplification of marginalized voices, but also carries the risk of inaccurate information and criticism from authorities. Therefore, the use of social media needs to be balanced with responsibility to prevent the spread of harmful information or worsening conflict situations.
Klasifikasi Diabetes Menggunakan Algoritma Support Vector Machine Radial Basis Function Muhammad Hilmy Haidar Aly
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 1 (2024): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v4i1.3420

Abstract

Diabetes mellitus (DM) is a chronic disease associated with high levels of sugar or glucose in the blood caused by pancreatic and insulin disorders. According to data from the Ministry of Health of the Republic of Indonesia, Diabetes is the third leading cause of death in Indonesia with a percentage of 6.7%. The high rate prompted this study to conduct early detection. One approach that has been widely used is the use of the Support Vector Machine algorithm in predictive modeling. The method was chosen because it was proven in previous studies to get quite high accuracy. Several preprocessing methods were performed to prepare the data for the classification process. The data used involved parameters such as pregnancy, glucose, blood pressure, skin thickness, insulin, weight, heredity, and age. Based on experimental results in ongoing system testing, the maximum performance result is 87% using SVM.
Pencarian Rute Terdekat Menghindari Jalan Rusak Menggunakan Algoritma A-Star Rifki Setiawan
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 1 (2024): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v4i1.3421

Abstract

In our daily lives, we are often faced with the challenge of broken roads that can affect our travel. To solve this problem, a web-based map system has been developed. The system uses road data from OpenStreetMap and the A-star algorithm to find the shortest route that avoids bad roads. The website is built using JavaScript, PHP, HTML, and CSS, with the support of a MySQL database that stores information on damaged roads and user accounts. The process of using the system starts with registration and account login. Users can view the map on the main page, report the damaged road with photo evidence equipped with a time watermark and coordinate data, and view their initial route. The admin then validates the damaged road data, and the system automatically constructs an alternative route that avoids the verified damaged roads. The accuracy of the A-star algorithm in finding routes depends on the amount and correctness of the damaged road data entered by the admin. In further development, special attention is paid to admin validation, data security, integration with location service provider APIs, and performance optimization. Richer reporting features, multi-platform support, and notifications to users could also be valuable additions. With good documentation and thorough testing, the system is expected to provide an effective solution and be well received by users.
Sistem Informasi Pelayanan Jasa Laundry Pada Rumah Laundry Kendal Bagus Sudirman; Ahmad Ashifuddin Aqham
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 3 No. 3 (2023): Desember : Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v3i3.3424

Abstract

Currently it is still done manually and causes difficulties in data retrieval and income capitulation, there are several steps that can be taken to increase efficiency and accuracy in administrative management. Here are some suggestions: Management Information System (MIS) or Laundry Application: Implement a management information system or laundry-specific application that can help automate administrative processes. This application can record laundry receipt transactions, record customer data, and store income information in a more structured manner. Barcode or Unique Identification System: Use a barcode or unique identification system on each laundry receipt. This will make it easier to track and search data. Each customer or order can have a unique code or barcode that can be scanned to identify the transaction. Electronic Logging: Switch from manual logging to electronic logging. Use spreadsheet or database software to store and manage data. Make sure all laundry receipt data, including customer information and type of service, is recorded carefully. Centralized Database System: By implementing these solutions, you can optimize the laundry service administration process, reduce data search time, and increase revenue management efficiency. The aim of creating a Laundry Service Information System is to make it easier for business owners to manage customer transaction data and in preparing financial reports. The methods used in collecting data are observation, interviews and literature study, while the system development method used is R&D (Research and Development). This system was built using the PHP programming language, Boostrap, and for the database using MySQL. The results of this research are a web-based laundry service information system. This laundry service information system contains 2 access rights, namely Admin and customer. Customers can find out the status of their laundry and payments, while Admins can manage customer data, manage transactions, and view print reports
Klasifikasi Penyakit Daun Jagung Menggunakan Metode CNN Dengan Image Processing HE Dan CLAHE Mochammad Faisal Nur Sayyid
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 1 (2024): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v4i1.3425

Abstract

This research focuses on classifying diseases on corn leaves using Convolutional Neural Network (CNN) with HE and CLAHE image processing methods. Corn plants, as the main food crop, are susceptible to various diseases that can reduce the quantity and quality of the harvest. With advances in AI technology, CNN is implemented to automatically identify disease symptoms on corn leaves. Previously, research using KNN and GLCM feature extraction resulted in low accuracy. Therefore, this research utilizes HE and CLAHE image processing techniques to improve image quality before classification is carried out. The research results show that CNN with CLAHE achieves the highest accuracy of 95%, while the use of HE produces an accuracy of 91%. Testing successfully identified 149 disease images with CLAHE, while HE classified 145 disease images. The conclusion of the research is that using CNN with CLAHE is more effective in classifying corn leaf diseases compared to HE with an accuracy of 95%. It is hoped that the application of this method can help farmers efficiently identify and overcome diseases in corn plants, supporting increased yields.

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