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Published by Institut Teknologi Dirgantara Adisutjipto

ISSN : 22523839 EISSN : 25492403 DOI : 10.28989/compiler

Core Subject : Science,

Computer Science & IT

Jurnal "COMPILER" dengan ISSN Cetak : 2252-3839 dan ISSN On Line 2549-2403 adalah jurnal yang diterbitkan oleh Departement Informatika Sekolah Tinggi Teknologi Adisutjipto Yogyakarta. Jurnal ini memuat artikel yang merupakan hasil-hasil penelitian dengan bidang kajian Struktur Diskrit, Ilmu Komputasi , Algoritma dan Kompleksitas, Bahasa Pemrograman, Sistem Cerdas, Rekayasa Perangkat Lunak, Manajemen Informasi, Dasar-dasar Pengembangan Perangkat Lunak, Interaksi Manusia-Komputer, Pengembangan Berbasis Platform, Arsitektur dan Organisasi Komputer, Sistem Operasi, Dasar-dasar Sistem,Penjaminan dan Keamanan Informasi, Grafis dan Visualisasi, Komputasi Paralel dan Terdistribusi, Jaringan dan Komunikasi, Desain, Animasi dan Simulasi Pesawat Terbang. Compiler terbit setiap bulan Mei dan November.

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Articles 7 Documents

Search results for , issue "Vol 11, No 2 (2022): November" : 7 Documents clear

PUNA Aircraft Static Stability Simulation Using XFLR5 Software Bangga Dirgantara Adiputra; Agus Rohmanto
Compiler Vol 11, No 2 (2022): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Currently the development of Uncrewed Aircraft is experiencing a very rapid increase. This is demonstrated by the large number of use of Unmanned Aircraft in several sectors, one of which is for monitoring traffic density. On this mission the aircraft will carry a payload in the form of a camera used to record or display the existing traffic situation. This mission requires aircraft with good stability capabilities so as to be able to provide good monitoring results. So it is necessary to analyze the static stability in longitudinal, lateral and directional motion. Static stability simulation was carried out with the help of XLFR5 software. The simulation results are then compared with the parameters that are a requirement for longitudinal, lateral, and directional static stability.

Feasibility Study of Web-Based Academic Information Systems at Bhakti Semesta Salatiga Polytechnic Using The Feasibility Method of Telos Danis Putra Perdana; Puspa Ira Dewi Candra Wulan; Rofiq Fauzi
Compiler Vol 11, No 2 (2022): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

In the process of developing information systems, there are often problems that are detrimental in terms of time and money in an organization. Bhakti Semesta Polytechnic, which is a polytechnic that was only established in 2021, needs to develop an Academic Information System after observations and interviews with the academic community have been carried out, so that development can run according to needs and does not cause losses. The feasibility test is carried out using the Telos method. This method is used to determine the feasibility of a project with several criteria, namely Technical, Economy, Legal, Operational and Schedule. The results of this study indicate the value of the feasibility factor is 8.4 with an evaluation design for developing a feasible information system (B) and the risk of developing a system is relatively low

Network Forensic of Cryptocurency Miners Arief Ikhwan Wicaksono; Rama Sahtyawan; Dedy Hariyadi
Compiler Vol 11, No 2 (2022): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

As reported by BSSN on August, 2022, Indonesia has traffic anomalies of 1.6 billion traffic, with 55.83% of anomaly findings containing malware and the remaining 14.99% information disclosure is another activity. Some of this data, when further analyzed based on the type of attack, falls into the categories of breaches, successes, attempts, and failures. Investigate crimes related to misuse of resources for illegal cryptocurrency mining activities. Therefore, this study should consider acquisitions from the network side as they apply to existing government agencies/institutions. This observation thereby provides information for later evidence, intruder detection, and prosecution of perpetrators who misuse resources for personal gain. As a result, the harvesting processs can obtain valuable data from routers as a digital evidence for investigating information about network attack activitiy and anomalies traffic.

Analysis of Deep Learning Approach Based on Convolution Neural Network (CNN) for Classification of Web Page Title and Description Text Aris Wahyu Murdiyanto; Muhammad Habibi
Compiler Vol 11, No 2 (2022): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

The volume of digital documents available online is growing exponentially due to the increasing use of the internet. Categorization of information obtained online is needed to make it easier for recipients of information to determine and filter which information is needed. Classification of web pages can be based on titles and descriptions, which are text data that can be done by utilizing deep learning technology for text classification. This study aimed to conduct data training and analysis experiments to determine the accuracy of the proposed deep learning architecture in classifying web page titles and descriptions. In this research, we proposed a Convolution Neural Network (CNN) architecture that generates few parameters. The training and evaluation set was conducted on the web page dataset provided by DMOZ. As a result, the proposed CNN architecture with the number of N (Dropout + 1D Convolution + ReLU activation) equal to 1 achieves the best validation accuracy. It achieves 79.51% with only generates 825,061 parameters. The proposed CNN architecture achieved outperformed performance on the accuracy of the five other technologies in the state-of-the-art.

Sentiment Analysis on the Centralized Isolation Policy for Covid-19 Response in Bali Province I Made Ari Santosa; Luh Putu Ayu Prapitasari; I Putu Ramayasa
Compiler Vol 11, No 2 (2022): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Coronavirus disease (Covid-19) is an infectious virus caused by SARS-CoV-2 virus, which has caused a global pandemic. The global pandemic is declared by the World Health Organization (WHO) on March 11th, 2020. Until late of April 2022, Covid-19 has caused the death of the total of more than 6 million people, and in Indonesia alone it has caused more than 150 thousand of death. The pandemic does not only impact health area, but also economy, politics, cultures, etc. In order to end the pandemic, WHO has sets out standard policies to be implemented, including by Indonesian government. Besides, each local goverment in Indonesia has also their own policies and regulations, including the government of Bali Province, for example the Community Activities Restrictions Enforcement or CARE (Indonesian: Pemberlakuan Pembatasan Kegiatan Masyarakat, commonly referred to as the PPKM), improvement in health care facilities and services, and also isolation policy for the people whom are infected by SARS-CoV-2 virus. To prevent the increase in death, Bali Province's COVID-19 Handling Task Force along with the district and city governments have prepared a centralized isolation policy and facilities for those whom are found to be Covid-19 positive without having any symptoms and for those with mild symtomps. This research has been conducted in order to get the public sentiment about this centralized isolation policy in Bali Province by using Tweet data from Twitter social media, based on Naive Bayes classification. From the experiments, the results of data Tweet classifications have accuracy more than 90%, which have shown that the public opinion is neutral. The results also mean that there is no contradition found in the application of centralized isolation policy in the province of Bali-Indonesia.

Monitoring System and Hydroponic Plant Automation Using Microcontroller Internet of Things Based (IoT) Nopi Ramsari; Teddy Hidayat
Compiler Vol 11, No 2 (2022): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Hydroponics is a technique of cultivating plants without using soil media, but using water as a planting medium. Important factors that must be considered in hydroponic plants are plant nutrition, water, temperature, and light intensity. These factors are necessary for hydroponic plants for the growth and reproduction of hydroponic plants. Due to the nutritional needs of hydroponic plants, farmers must take the time to check the concentration of nutrients in hydroponic plants so that the plants can grow well. Therefore, it is necessary to develop new methods of hydroponic farming so that they can grow and develop properly, which can be controlled and monitored automatically. Thus, farmers no longer need to come to agricultural locations. One of the technologies used is technology with the Internet of Things (IoT). This study uses a prototype methodology. For the plant sample used is the lettuce plant. The microcontroller is used as the main controller of all IoT components while the sensors used are the TDS sensor, temperature sensor and light intensity sensor. The research that has been done is IoT technology on hydroponic plants that can monitor and automate plant nutrition settings that are personalized to the needs of hydroponic plants. From the results of testing the IoT tool by reading data from the light intensity and temperature sensors, there is a link between the UV light intensity produced and the water temperature in the hydroponic plant reservoir, that is, the higher the UV light intensity, the higher the water temperature and vice versa. In addition, the other factors are weather and climate conditions around hydroponic plants. IoT data is stored in cloud storage which requires a rental fee.

Classification of Twitter User Sentiments Against Government Policies in Overcoming Covid-19 in Indonesia Hermawan Arief Putranto; Taufiq Rizaldi; Wahyu Kurnia Dewanto; Rokhimatus Zahro
Compiler Vol 11, No 2 (2022): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Sentiment classification is a field of study that analyzes a person's opinions, sentiments, judgments, evaluations, attitudes, and emotions regarding a particular topic, service, product, individual, organization, or activity. The topic that is currently being discussed is Covid-19. Covid19 is a disease caused by the corona virus, which was first identified in the city of Wuhan, China. This disease has spread throughout the world, including Indonesia. In this regard, the Indonesian government issued a policy as an effort to break the chain of the spread of the corona virus. However, this encourages the emergence of various kinds of public responses. One of them is Twitter users, there are pros and cons responses from the community in responding to government policies and causing problems, namely the difficulty of knowing positive, neutral or negative responses given by the community. Based on the explanation above, a sentiment analysis was carried out. This analysis was carried out by utilizing data from Twitter with the keywords at home, vaccines for the people of Indonesia, and PSBB, covid, covid19, covid Indonesia, vaccines Jakarta, vaccines, vaccines Restore RI, and vaccines for the sake of protecting the Republic of Indonesia. Where the data will be processed through several stages, namely preprocessing, word weighting and sentiment analysis. The results of the classification of the sentiment classification of the majority of Twitter users are neutral, namely 69.2% of the data classified as neutral sentiment, 30.1% of the data classified as positive sentiment, and 7% of the data having negative sentiment.

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Hero Wintolo

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Daerah istimewa yogyakarta

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Home Page

OAI Link

Editorial Team

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Reviewer

Google Scholar

Contact Name Hero Wintolo

Contact Email herowintolo@stta.ac.id

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Journal Mail Official informatika@stta.ac.id

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Location Kab. bantul, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

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Abstract

Abstract

Contact Name
Hero Wintolo

Contact Email
herowintolo@stta.ac.id

Phone
-

Journal Mail Official
informatika@stta.ac.id

Editorial Address
-

Location
Kab. bantul,

Daerah istimewa yogyakarta

INDONESIA