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All Journal J@TI (TEKNIK INDUSTRI) Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler Jurnal Penelitian Pers dan Komunikasi Pembangunan JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) International Journal of Health Science and Technology Teknomatika: Jurnal Informatika dan Komputer
Saputra, Andika Bayu
Universitas Jenderal Achmad Yani Yogyakarta
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Nursing Public Health

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Journal : Teknomatika: Jurnal Informatika dan Komputer

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Prototipe Sistem Pendeteksi Tingkat Kekeruhan dan PH Air Berbasis Mikrokontroler Arduino Dinda Prafitri; Andika Bayu Saputra
Jurnal Teknomatika Vol 12 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.v12i2.315

Abstract

Kualitas air tidak dapat dilihat dari warna air saja, bakteri-bakteri yang terdapat dalam air sangatlah berbahaya. Menurut Peraturan Menteri Kesehatan Indonesia Nomor 32 Tahun 2017, nilai standar mutu kekeruhan adalah 25 NTU dan pH air adalah 6,5 – 8,5. Untuk mengurangi bahaya air kotor yang dikonsumsi warga desa sebagai sumber air dalam kehidupan, sehingga pada penelitian ini diusulkan sebuah alat untuk membantu warga dalam mengelola air sumur untuk mendapatkan air yang bersih. Dengan memanfaatkan alat sebagai monitoring tingkat kekeruhan dan pH pada air. Dalam perancangannya menggunakan metode iterative dan Arduino. Prototipe ini akan melibatkn sensor keasaman dan sensor kekeruhan yang dirakit pada mikrokontroler Arduino. Prototipe yang dibangun mampu memberikan informasi terhadap air yang keruh dan pH yang melewati batas standar kualitas air yang telah ditentukan. Data yang telah diambil dapat ditampilkan pada web yang berfungsi sebagai sistem monitoring, sehingga warga dapat memantau air sumur dengan melihat grafik dan tabel. Dengan prototipe dan sistem yang dibuat diharapkan mampu meminimalisir kerugian yang ditimbulkan akibat air kotor.
Sistem Prediksi Kasus Covid-19 di Indonesia Menggunakan Algoritma Linear Regression Yusriyah Isnaini Mufidah; Andika Bayu Saputra; Netania Indi Kusumaningtyas
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.v16i1.1099

Abstract

The Coronavirus disease outbreak caused by severe acute respiratory syndrome by coronavirus 2 was first reported in Wuhan, Hubei province, China in December 2019, until March 2, 2020, President Joko Widodo announced the first case of an Indonesian citizen who was confirmed positive for COVID-19. The development of new cases of COVID-19 patients in Indonesia is still being reported even though the pandemic has lasted for almost two years. Then need a way to determine predictions or predict the number of increases in Indonesia’s COVID-19 cases in the future using machine learning technology with the Linear Regression algorithm. Estimating the number of active cases adding positive COVID-19 cases in Indonesia over the next 3 months using the machine learning method using the Linear Regression algorithm. This study predicts COVID-19 cases using machine learning with the Linear Regression algorithm. The model results have a linear coefficient, so the model predicts very well for linear data on days 0 – 300, and on the day after that, the number of positive cases of the national COVID-19 virus does not continue to show a linear relationship, the model becomes inaccurate again. The results of the parameter evaluation show that the level of accuracy is low, but this model can be used as a reference for case predictions for the next month with the results of comparison of predicted data and actual data not much different.
MONITORING PEMAKAIAN ARUS DAN PENGENDALI INTENSITAS CAHAYA PADA LAMPU BERBASIS INTERNET OF THINGS MENGGUNAKAN ANDROID Fatta Shofa Hasani; Choerun Asnawi; Andika Bayu Saputra; Alfun Roehatul Jannah
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.v14i1.1100

Abstract

The switch on and off of a light takes time when it has to be done in a lot of space. Not to mention in a multistoried building that had to turn the lights on and off on each floor of the building and in each room. Not only that, the omission in turning on and off lights would be very dangerous if left unchecked. Besides electrical waste, a fire starter will occur when lights will run continuously. To make it easier for users to engage in daily activities in turn off lights especially in many areas, it is suggested in this study that a prototype of the current monitoring system and light intensity control for lights based on the Internet of things which the design would be integrated with wi-fi and android. The prototype was built to provide the solution by turning off and turning on the lights without having to move from place to place. Designed by simple looks, the user can control it via the android. With the prototypes and created systems it is expected to make user activity easier and minimise the user negligence factor in turning on and off lights that can overload electricity to fire triggers.
PURWARUPA ALAT PENDETEKSI OTOMATIS KETINGGIAN AIR UNTUK MENGATUR BUKA TUTUP PINTU AIR BERBASIS ARDUINO M Roykhul Jinan; Agung Priyanto; Andika Bayu Saputra; Alfun Roehatul Jannah
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.v15i2.1102

Abstract

With the increasing population and the reduction of water catchment areas due to numerous development projects that disregard green open spaces, coupled with a lack of public awareness regarding the importance of water flow, many individuals continue to consciously dispose of garbage into rivers, including river areas, dams, and reservoirs. This behavior leads to river blockages, resulting in flooding in those areas and other low-lying regions. The traditional method of monitoring water levels heavily relies on human operators, which can introduce errors when interpreting water indicators. To address these challenges, this research adopts a design-oriented methodology to develop an automated system for real-time maintenance and monitoring of water levels. The study begins with a comprehensive analysis of the existing issues and the underlying processes involved. Subsequently, the research focuses on designing and implementing a prototype system using appropriate materials, system development tools, and methodologies. The proposed system consists of a water level detection device integrated with a servo-controlled dam opener. Experimental tests demonstrate the device's effectiveness in accurately detecting changes in water levels, with an average accuracy of 10 cm from the sensor point. Additionally, the servo-controlled dam opener plays a significant role in regulating water flow within the system. The proposed system aims to facilitate efficient monitoring and decision-making processes, thereby reducing the occurrence of human errors in determining water levels.
Analisis Sentimen Ulasan Produk Layanan Internet di Twitter Menggunakan Naive Bayes Classifier Lintang Permadi; Choerun Asnawi; Andika Bayu Saputra; Nurul Fatimah
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.v14i2.1108

Abstract

This research aimed to conduct sentiment analysis on user reviews of Indihome, one of Indonesia's leading internet service providers, using data collected from Twitter. With a growing user base of 7 million, Indihome achieved an impressive revenue growth rate of 48% by the end of 2019. To assess user satisfaction, sentiment analysis was performed on tweets containing the keyword "indihome" between July 1 and July 11, 2022. A total of 10,000 tweets and retweets were collected and subjected to data preprocessing, manual labeling, and training using the Naive Bayes Classifier method. The training phase involved 1,000 tweets, equally divided between positive and negative sentiments, manually labeled for accuracy. For evaluation, 200 labeled tweets were used as testing data. The sentiment analysis results were remarkable, with 98% accuracy achieved for the training data and 91% for the testing data. These findings demonstrate the effectiveness of the Naive Bayes Classifier in accurately determining sentiment from Indonesian-language tweets about Indihome's services. By analyzing user opinions expressed on Twitter, this study provides valuable insights into the level of user satisfaction with Indihome as an internet service provider. Leveraging sentiment analysis applications on Twitter social media enables companies like Indihome to gain a deeper understanding of customer sentiment and make informed decisions to improve their services. The research showcases the importance and effectiveness of sentiment analysis in evaluating user feedback and enhancing customer satisfaction in the internet service industry.
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.
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.
Perancangan Survival Horror Game Out Of Sight Menggunakan Unity 3D Engine Septian Mahendra Dewantoro; Kartikadyota Kusumaningtyas; Andika Bayu Saputra; Nurul Fatimah
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.v15i2.1122

Abstract

A game is the result of the creative expression of a game maker that has an element of entertainment, can be played and has an end goal. In horror games, it is still divided into several more types of games, one of which is a survival horror game that requires players to live against enemy attacks that come their way. This game was created to enrich horror-themed domestically made games. Designing games using the unity 3D engine with the process of applying the MDLC (Media Develpoment Life Cycle) model. A method suitable for game design, starting with the preparation, design, collection of materials, testing and distribution. Out Of Sight game has gameplay with a first-person perspective combined with the survival horror genre. Made with the C# programming language this game is able to run perfectly with various features. There is also a unique feature, namely slowmotion which serves to slow down time to make it easier for players to shoot enemies. This survival horror game has been successfully created and completed. This game conducts testing using black box testing where all features function normally except for the key that serves to open the door. Based on respondents 18.5% said that the door lock had a bug. This game was created to enrich horror-themed domestically made games.
PENERAPAN METODE SURF DAN FLANN UNTUK MENDETEKSI TERBITAN SPAM PADA INSTAGRAM Dwi Sandi Yulianto; Adri Priadana; Andika Bayu Saputra; Fajar Syahruddin
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.v14i2.1125

Abstract

Social media is a new media that utilizes the internet to share information, interact, participate and others, and to be used with each other. Currently there are many social media circulating, one of which is Instagram. At first Instagram was only used to share photos, then along with the development of technology and media, Instagram also developed into being able to share videos and shop on Instagram. Instagram is also one of the social media specifically used to upload images and videos. The growing use of Instagram in supporting promotion makes Instagram faced with various problems, one of which is the emergence of spam issues. For example, the publication of spam on Instagram is published by several sellers of products or the like continuously. It's good to promote a product. But on the other hand, it will interfere with other users if the spam often appears. This is exacerbated by the mass use of popular hashtags, done with the aim of getting more views. Popular hashtags are hashtags that are followed by many Instagram users. Based on these problems, it takes a computer program to detect spam issues based on certain hashtags on Instagram. In this final task, the Speeded-Up Robust Features (SURF) and Fast Library for Approximate Nearest Neighbor (FLANN) methods will be applied to detect spam publications on Instagram. The results of experiments that have been conducted on 12 images that produce 66 comparisons, the application of SURF and FLANN methods can be said to be very good in detecting the similarity of images between Instagram publications that indicate that the same image is a spam issue, which is with a maximum accuracy value of 100%.
Portal Masjid “Mosque Wanted” Solusi Pencarian Lokasi Masjid, Info Kajian & Berita Seputar Masjid di Yogyakarta Imam Puji Santoso; Andika Bayu Saputra; M. Abu Amar Al Badawi
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.v13i2.1127

Abstract

The dissemination of information and news about mosques in the Yogyakarta area has predominantly relied on social media and the Internet. Most mosques, especially the larger ones, have established their own social media accounts to showcase their activities. However, the information shared is typically limited to text and graphics, such as WhatsApp broadcasts, Instagram posts, Facebook updates, Twitter tweets, or posters displayed within the mosque premises. This text and graphic-based approach restricts accessibility for individuals who are unable to attend mosque activities due to various reasons, including difficulties in navigating to the mosque. This research aims to develop a Web-based Geographical Information System (GIS) that provides a mosque search solution, study information, and news about mosques in Yogyakarta. The system utilizes a responsive web design to enhance the dissemination of information, facilitate navigation, and stimulate public interest in studying Islamic sciences in Yogyakarta. The outcomes of this study offer valuable support to mosque administrators in providing comprehensive information about the mosque, particularly for Islamic da'wah activities. By incorporating detailed information and location data into the system, the dissemination of da'wah information can be improved. Moreover, the system enables the community to easily locate nearby mosques that offer Islamic da'wah activities and access real-time information about these activities.
Co-Authors A.A. Ketut Agung Cahyawan W Adri Priadana Agung Dwi Saputra Agung Priyanto Agung Priyanto Al Badawi, M. Abu Amar Albet Gunawan Alfun Roehatul Jannah Alfun Roehatul Jannah Ari Cahyono Ari Cahyono Choerun Asnawi Dinda Prafitri Dwi Sandi Yulianto Fajar Syahruddin Fatta Shofa Hasani Fatta Shofa Hasani Ferlinda Yuyung Kusumaningrum Gunawan, Albet Imam Puji Santoso Kusumaningtyas, Kartikadyota Kusumaningtyas, Netania Indi Lintang Permadi M Roykhul Jinan M Roykhul Jinan M. Abu Amar Al Badawi Moch. Adji Prasetyo Mufidah, Yusriyah Isnaini Muhammad Habibi Muhammad Rifqi Ma'arif Muhammad Rifqi Ma’arif Nafisa Alfi Sa'diya Netania Indi Kusumaningtyas Nina Hasbiyah Nurul Fatimah Puji Santoso, Imam Puji Winar Cahyo Rama Sahtyawan Septian Mahendra Dewantoro Syaeful Arief Yusriyah Isnaini Mufidah