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Teknomatika: Jurnal Informatika dan Komputer
Published by Universitas Jenderal Achmad Yani Yogyakarta
ISSN : 19797656     EISSN : 30310865     DOI : 10.30989
Core Subject : Science,
Computer Science & IT
Teknomatika: Jurnal Informatika dan Komputer ISSN: 3031-0865 (Online), 1979-7656 (Print) is a free and open-access journal published by Fakultas Teknik dan Teknologi Informasi Universitas Jenderal Achmad Yani Yogyakarta, Indonesia. Teknomatika publishes scientific articles from scholars and experts worldwide related to the computer science, informatics, computer systems and information systems. This journal accommodates articles covering: Mathematics and Statistics Algorithms and Programming Intelligent System Artificial Intelligence Software Engineering Computer Architecture Distributed System Cyber Security Electronics and Embedded Systems Data and Information Management Information Systems Enterprise System All published articles will have a Digital Object Identifier (DOI). The Journal publication frequency is twice a year (sixth monthly: Maret and September).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 271 Documents
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Membangun Sistem Informasi Presensi Kuliah Berbasis NFC di Prodi Informatika Unjani Yogyakarta Iklil Hisanah; Arif Himawan; Titik Rahmawati; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 13 No 1 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i1.1110

Abstract

The Unjani Yogyakarta campus, specifically the Informatics Study Program, currently relies on manual methods such as calling students individually or using journal book signatures for attendance. This approach has drawbacks, including flexible attendance time, time-consuming procedures, and potential disruptions to student focus during lectures. To address these issues, the author conducted research to develop a student attendance information system for the campus. The system utilizes a client-server architecture and incorporates NFC technology on Android smartphones and RFID cards. The research aims to establish fixed attendance times and enable digital attendance through Android devices. It also facilitates monitoring of lecture activities for program administrators by integrating mobile and web applications. The system, developed using JAVA for mobile clients and PHP with CodeIgniter and Bootstrap for the web server, was built using the Research and Development method. The resulting student attendance application streamlines the attendance process for program administrators and lecturers. However, it should be noted that the system relies heavily on an internet connection and can serve as an alternative for online classroom attendance.
Rancang Bangun Sistem Peringatan Dini Bencana Banjir Di Kabupaten Madiun Berbasis Website Dan SMS Gateway Menggunakan Mikrokontroller Arduino Halillur Nur Afandi; Landung Sudarmana; Dayat Subekti; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 13 No 2 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i2.1111

Abstract

Madiun Regency is one of the districts on the island of Java, precisely in the province of East Java. Based on research from the Center for Volcanology and Geological Disaster Mitigation (PVMBG), Madiun City has several potential disasters, one of which is flooding with a high category. This is because Madiun Regency has two streams, namely Kali Sono and Kali Piring which head up on the slopes of Mount Wilis, Madiun Regency. Both times it ended in the Jerohan River in the Balerejo District, Madiun Regency which is a tributary of the Bengawan Madiun River. When heavy rains fell, parts of Madiun City were immediately inundated by flood waters. To anticipate floods, this research proposes a prototype design of a flood disaster early warning system using multiple sensors based on the Global System for Mobile Communications (GSM) in Madiun Regency. Which in the design uses the waterfall and Arduino methods. The prototype built is able to provide early warning information. The data that has been taken can be displayed on the web which functions as a monitoring system, so that officers can carry out supervision more easily and take action when the situation is dangerous. With the prototype and the system made, it is expected to be able to minimize losses caused by floods.
Aplikasi Android Pencarian Coffee Shop Terbaik Menggunakan Metode Weighted Product Nina Hasbiyah; Muhammad Rifqi Ma’arif; Andika Bayu Saputra; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 14 No 1 (2021): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v14i1.1112

Abstract

Coffee Shop is a place to gather and relax with family, friends, relatives to enjoy the weekend or just to unwind from the activities that have been carried out. Currently, there are many coffee shops in Sleman that provide products at affordable prices and comfortable places, so that many students make coffee shops an alternative place to complete assignments. However, many people still ask about the Coffee Shop along with detailed information such as taste, price, service, atmosphere, and distance. The Weighted Product method is one of the weighting methods, where multiplication is used to connect attribute ratings, and the rating of each attribute must be raised first with the weight of the attribute in question. The results of this study are in the form of an Android application to find the best Coffee Shop using the Weighted Product method so that it can make it easier for people to choose a Coffee Shop based on the selected criteria. The application is built using the Dart programming language and utilizes the Flutter framework and MySQL as a database management system.
Analisis Forensik Digital Pada Komentar Youtube Live Menggunakan Sentiment Analysis Uning Kristiana; Alfirna Rizqi Lahitani; Chanief Budi Setiawan; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 15 No 1 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i1.1115

Abstract

The development of increasingly sophisticated technology can have a positive influence on various aspects of our daily lives. From the survey results of the Indonesian Internet Services Association (APJII) in the second quarter of 2019-2020, it shows that Internet users of the operator spend more time watching online videos. Youtube video content watching is open to the public and all ages can freely watch it. However, the content and comments are not necessarily suitable for audiences of all ages to read. Of course, Youtube video content can also affect behavior, especially minors.The purpose of this research is to conduct digital forensic analysis on Youtube Live Comments using sentiment analysis.The research method used applies the NIST SP 800-86 method, namely Collection, Examination, Analysis, and Reporting. Sentiment analysis resulted in 0.01 in the comments on the two videos tested, namely the PUBG and Free Fire video games. Sentiment analysis resulted in 0.01 in the comments on the two videos tested, namely the PUBG and Free Fire video games.
Analisis Sentimen dan Klasifikasi Terhadap Tren “UU ITE” di Media Sosial Twitter Risky Setyadi Putra; Muhammad Habibi; Aris Wahyu Murdiyanto; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 14 No 2 (2021): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v14i2.1116

Abstract

Undang-undang Informasi and Transaksi Elektronik abbreviated UU ITE is a law that regulates information and electronic transactions, or information technology in general. This study discusses sentiment analysis from tweet data with keywords “UU ITE” Who uses as much data 7.407 tweet data and re-tweets taken in the period July 21 - August 16, 2021, with details 914 data that has been manually labeled and 6,493 data labeled using Predicting that the data was taken using authentication on the Twitter API and executed using the Python library. This research uses methods Support Vector Machine because it has several advantages including It is capable of handling the classification of two classes, and its implementation is relatively easy. For the support vector machine stage, namely data retrieval, preprocessing data, manual labeling, data training and testing. As for the solution offered in this research is to create an analysis model that can be used to conduct sentiment analysis about the ITE Law on social media Twitter. This research was successful using the Support Vector Machine method to create a sentiment analysis model with an accuracy of 81.20% for data Training and 87% for data testing. This study provides results that UU ITE have negative sentiments by netizens on social media Twitter based on on the results of classification and calculations on the model and tweet data and the number of Negative discussions.
Analisis Sentimen Kepuasan Pelanggan Perusahaan Telekomunikasi Seluler Telkomsel di Twitter Melia Haerunnissa; Agung Priyanto; Choerun Asnawi; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 15 No 2 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i2.1117

Abstract

Telkomsel, the largest operator in Indonesia with the most users, collects a significant amount of tweet data on Twitter, containing both positive and negative feedback about their internet service. Analyzing this data can provide valuable insights and accurate information about Telkomsel's internet services based on user tweets, retweets, and comments. The aim is to build a sentiment analysis model to extract relevant information from Telkomsel users' tweets on Twitter, serving as feedback for service evaluation and an educational tool for users. The sentiment analysis process involves data retrieval, preprocessing, training, testing, classification, and visualization using Python programming with the Flask framework. Analysis of customer satisfaction sentiment reveals that Telkomsel has a negative sentiment, with an accuracy of 81.7% for training data and 84% for testing data. The sentiment analysis model was built using the Naive Bayes Classification method.
Sistem Pakar Untuk Mendiagnosa Penyakit Degeneratif Pada Lanjut Usia Menggunakan Metode Certainty Factor Berbasis Web Agung Dwi Saputra; Choerun Asnawi; Andika Bayu Saputra; Nafisa Alfi Sa'diya
Jurnal Teknomatika Vol 16 No 1 (2023): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v16i1.1118

Abstract

Elderly is a natural process that undergoes organ changes that ultimately affect the state of the function and ability of the body as a whole. Degenerative diseases that occur in the elderly accompany the aging process in a person. This study aims to diagnose degenerative diseases in the elderly with an expert system.The Expert System which was built to diagnose degenerative in the elderly using the CF method aims to trace the symptoms displayed in the form of questions in order to diagnose diseases with web-based software.Expert system software can recognize degenerative diseases in the elderly experienced by users after answering some of the questions displayed by the application.The expert system designed can diagnose degenerative causes in the elderly because in this expert system knowledge is given in the form of symptoms that are used as input to the user.
Analisis Kesadaran Cyber Security di Kalangan Pengguna Layanan Keuangan Digital Indonesia Maulida Farahanita; Chanief Budi Setiawan; Rama Sahtyawan; Nurul Fatimah
Jurnal Teknomatika Vol 15 No 1 (2022): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v15i1.1119

Abstract

The rapid development of information technology has led most people to choose to use digital banking and financial services to carry out various financial transactions. The most common crimes that occur are in the banking industry, including hacking (hacking of digital services), skimming (copying data information from digital service users), defacing (replacing or modifying digital service pages), phishing (deception of digital service users), BEC (business email compromise), and social engineering (social engineering to digital service users). To measure the level of cyber security awareness among users of digital financial services in Indonesia using the AHP method. This research is a quantitative study by distributing online questionnaires, then analyzed using the AHP method to find out which criteria have the highest or lowest scores. The largest weight of these criteria is knowledge of 0.5009, then sequentially is attitude of 0.3307, and behavior of 0.173. Digital financial service users already have insight or knowledge regarding how to maintain the security of their personal data, but it is still lacking in its application, so it is necessary to conduct in-depth re-education regarding the big risks given by carelessly maintaining privacy data. On the Attitude criteria; users still save PIN/passwords in smartphone notes, install applications outside the Play Store or App Store, rarely update the operating system on their smartphones, and leave their smartphones to other people or public places. On the Behavior criteria; users still use the same PIN/password on different accounts.
Klasterisasi Obat Berdasarkan Tipe dan Komposisi Sejenis pada Bagian Farmasi Rumah Sakit Queen Latifa Nurul Imam Prayogo; Puji Winar Cahyo; Landung Sudarmana; Nurul Fatimah
Jurnal Teknomatika Vol 13 No 2 (2020): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v13i2.1120

Abstract

One important element in maintaining and improving the quality of healthcare services is the availability of adequate medication. Drugs are a crucial component used in the provision of healthcare services, and the expenses associated with them constitute a significant portion of overall healthcare costs. The implementation of data mining can aid in analyzing drug usage to obtain information that can be utilized for planning and controlling drug inventory, with one of the methods being the utilization of the K-Means algorithm. The K-Means algorithm is the most popular and widely used clustering method in data mining. This research aims to facilitate pharmacy personnel in identifying groups of drug types with similar characteristics and compositions. As a result, the categorization of a large number of drugs can be performed more efficiently and accurately. Moreover, with the grouping of drugs based on similar characteristics and compositions, pharmacy personnel can easily monitor the availability of specific medications and take appropriate actions in managing drug supplies at the hospital.
Sistem Pendukung Keputusan Gizi dan Penentuan Stunting Berbasis Web di Posyandu Mutiara Rifky Nur Febryan; Arief Ikhwan Wicaksono; Chanief Budi Setiawan; Nurul Fatimah
Jurnal Teknomatika Vol 14 No 1 (2021): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30989/teknomatika.v14i1.1121

Abstract

Posyandu is the activity base in the field of health for the community, with the Posyandu is expected to community conscious will Healt sice early, because of the activities of Posyandu many involving various parties, especially on helath early is a todder. This Posyandu is regulated and supervised by the Puskesmas in order to maximize activities in the field of Healt between RT and RW. In the case of these many activities are still relying on the recording is manually and a lot of data that is not structured. There is also a wighing activity for toddlers who still use the manual method, namely checking the Card Towards Health (KMS) book. The study is intended to create a system supporting decision that can be used by Kader Posyandu in doing the reporting activities of the weighing toddlers and provides a place virtual namely the facility to upload data that is used to store the data Softcopy which can be downloaded back. This system also provides alternative features for determining nutrition and stunting. The result of the study of this form of system support decisions thet help Kader Posyandu in doing the repoting activities of the weighing toddlers and announcements weighing toddlers. The Nutrition Decision Support System and Stunting Determination at the Posyandu Mutiara was designed using the Naïve Bayes Classification method and was made using the PYTHON programming language by utilizing the Flask Framework, Bootstrap Framework, and MySQL as a database.

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