cover
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
Compiler
ISSN : 22523839     EISSN : 25492403     DOI : 10.28989/compiler
Core Subject : Science,
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.
Arjuna Subject : -
Articles 8 Documents
Search results for , issue "Vol 10, No 2 (2021): November" : 8 Documents clear
Detection of fake shallots using website-based haar-like features algorithm Bambang Agus Setyawan; Mutaqin Akbar
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.724 KB) | DOI: 10.28989/compiler.v10i2.978

Abstract

Shallots is commonly used as essential cooking spices or complement seasoning. The high market demand for this commodity has triggered some people to counterfeit it. They mix the shallots with defective products of onions to get more benefits. It urges to provide a system that can help people to distinguish whether the shallot is original or fake. This research aims to provides an object recognition system for fake shallots utilizing the Haar-Like Feature algorithm. It used the cascade training data set of 59 positive images and 150 negative images with 50 comparison images. The identification process of the shallots was through the haar-cascade process, integrated image, adaptive boosting, cascade classifier, and local binary pattern histogram. This system was made based on the Django website using the python programming language. The test was conducted 30 times on Brebes shallots mixed with Mumbai's mini onions in a single and mixture test method. The test obtained an average percentage of 69.2% for the object recognition of Mumbai's mini onions.
Production planning optimization using linear goal programming method (a case study in UD. Koing) Marni Astuti; Suhanto Suhanto; Renaldy Setya Utomo
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.868 KB) | DOI: 10.28989/compiler.v10i2.1119

Abstract

Small Medium Enterprise (SME) industry hold significant role in economic development. In order to be competitive in competition, industry is demanded to be able to make optimum production plan for fulfilling the customer needs. UD KOING as one of product made based skin manufacture companies from time to time is demanded to maximize profit production-target volume, formulating model problems and optimization of raw material. The purpose of this research is that the company gets output according to consumer demand which minimizes production costs and maximizes profits. To answer all those challenges, this research applied goal programming method, where this method can achieve more than one goal only. Based on the data processing, the company target can be achieved through the company profit IDR 7,089,620 compared to the realization of IDR 7,052,410. The total production cost is IDR 16,635,380 compared to realized production cost of IDR 16,554,590 by producing wallet with the number 51 pieces, purse 9 pieces, nametag 13 pieces, pouch 15 pieces and necklace 14 pieces.
Analysis of web scraping techniques to get keywords suggestion and allintitle automatically from Google Search Engines Aris Wahyu Murdiyanto; Aris Wahyu Murdiyanto; Adri Priadana
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.619 KB) | DOI: 10.28989/compiler.v10i2.1064

Abstract

Keyword research is one of the essential activities in Search Engine Optimization (SEO). One of the techniques in doing keyword research is to find out how many articles titles on a website indexed by the Google search engine contain a particular keyword or so-called "allintitle". Moreover, search engines are also able to provide keywords suggestion. Getting keywords suggestions and allintitle will not be effective, efficient, and economical if done manually for relatively extensive keyword research. It will take a long time to decide whether a keyword is needed to be optimized. Based on these problems, this study aimed to analyze the implementation of the web scraping technique to get relevant keyword suggestions from the Google search engine and the number of "allintitle" that are owned automatically. The data used as an experiment in this test consists of ten keywords, which each keyword would generate a maximum of ten keywords suggestion. Therefore, from ten keywords, it will produce at most 100 keywords suggestions and the number of allintitles. Based on the evaluation result, we got an accuracy of 100%. It indicated that the technique could be applied to get keywords suggestions and allintitle from Google search engines with outstanding accuracy values.
A social network analysis: identifying influencers in the COVID-19 vaccination discussion on twitter Muhammad Habibi; Puji Winar Cahyo
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.467 KB) | DOI: 10.28989/compiler.v10i2.1074

Abstract

Social media analytics, especially Twitter, has experienced significant growth over the last few years. The data generated by Twitter provides valuable information to many stakeholders regarding user behavior, preferences, tastes, and characteristics. The presence of influencers on social media can invite interaction with other users. An influencer can affect the speed of spreading information on social media. This study looks at the influence of influencers and information dissemination channels on Twitter data related to COVID-19 vaccination in Indonesia as one of the hot Twitter discussion trends. This study applies Social Network Analysis (SNA) as a theoretical and methodological framework to show that interactions between users have differences on the network when the analyzed tweets are divided into mention and retweet networks. This study found that the key accounts in disseminating information related to Covid-19 vaccination were dominated by official accounts of government organizations and online news portals. The official Twitter account of government organizations turns out to have an essential role in disseminating information related to COVID-19 vaccination, namely the @KemenkesRI account belonging to the Ministry of Health of the Republic of Indonesia and the @Puspen_TNI account belonging to the TNI Information Center.
Enhanced Interior Gateway Routing Protocol (EIGRP) website based on cisco router 2811 using Application Programming Interface (API) from cisco Sudaryanto Sudaryanto; Anggraini Kusumaningrum; Yuliani Indrianingsih; Dadan Rachman Prabowo
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (546.2 KB) | DOI: 10.28989/compiler.v10i2.966

Abstract

Enhanced Interior Gateway Routing Protocol (EIGRP) is a routing protocol that can be used to determine the path of data to be sent. EIGRP can achieve goals and study interconnected networks to obtain useful information to determine the best path. EIGRP is only adopted by Cisco routers or can be called a Cisco Proprietary Protocol, which can only be used on Cisco router devices. Currently, the EIGRP routing configuration uses the command line. For this reason, a Website-based EIGRP system was created and can be accessed remotely (remotely) with the aim of providing freedom of access and not focusing on one device. Website-based EIGRP system was created by utilizing Cisco's API as a liaison between the programming language and Cisco Router 2811 software. Telnet utilization plays a very important role in creating a Website-based EIGRP System where Telnet can provide wider access in management. By visiting the host and port of the router, the EIGRP Website Based System can easily do this. The results of the test in this study indicate that the Website-based EIGRP system is proven to be able to configure, so that administrators can use it for device management of Cisco Router 2811.
Feasibility study of Massive Open Online Course (MOOC) in supporting self determined learning in state islamic higher education sumarsono sumarsono; Sutrisno Sutrisno; Agung Fatwanto
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.605 KB) | DOI: 10.28989/compiler.v10i2.1106

Abstract

The learning model in the digital era has changed from traditional face-to-face learning to online learning. This causes stuttering and uncertainty for educational institutions, including the State Islamic Religious University (PTKIN), especially the readiness of lecturers. Each lecturer has different models, strategies and learning media in managing the class according to their understanding and ability in online learning. This study aims to see the readiness of PTKIN lecturers for online learning through MOOCs media with a heutagogy approach using the e-learning system at their respective universities.The quantitative research method uses 5 elements of heutagogy and 1 element of MOOCs with 52 sampling data on PTKIN lecturers.The results show that lecturers have competence and readiness in using online learning technology, but there are weaknesses in lecturers' understanding in using the heutagogy approach in learning.
Netiquette concept at the assessment of college student social competence with TOPSIS method Rianto Rianto; Sri Mulyani
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.102 KB) | DOI: 10.28989/compiler.v10i2.1114

Abstract

Social competence of students college is important during the process of implementing the practicum, from social competence we can find out capable the students are in several ways such as the ability to collaborate, speak in forums, reduce social conflicts in the environment, make a network and much more. In this study, it provides a model solution for assessing social competence in students college when carrying out practicum. The purpose of the study was to develop an assessment model by measuring students' social competence during the implementation of the practicum. The number of correspondents in the study was 78 students taken from the number of practicum students in Aerospace Engineering. The data analysis technique uses the TOPSIS method, where the results of this study will obtain the best ranking of 78 KP students who have the highest social competence value. The model of the assessment can be used by lecturers of the Aerospace Engineering, Adisutjipto Aerospace Technology Institute during the practicum process or after. With this assessment model, the advantages of the Adisutjipto Aerospace Technology Institute can synergize in creating graduates with a global and humanistic character.
Sterilizer chamber design with telegram-based internet of things (IoT) applications Nurwijayanti Kusumaningrum; Reza Ananda
Compiler Vol 10, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.745 KB) | DOI: 10.28989/compiler.v10i2.1111

Abstract

In order to reduce the spread of the corona virus in office areas, malls or housing, a sterilizer chamber is installed. It is used to detect someone who will enter an area and he must be sterilized first by spraying the entire body with disinfectant liquid automatically. By combining the sterilizer chamber tool with IoT technology, the sterilizer chamber tool can be monitored continuously at a certain distance using a sensor as a detector which will provide information to one of the operators of the tool condition, about the remaining liquid, the number of people who have been sterilized. The system works by providing information on the liquid spray time of about 5 seconds and information on the liquid level in the tube from level 5-70. The average output pin voltage is 4.89 V when the sensor detects an obstacle in front of the sensor and the NODEMCU will receive a voltage 4.89 V from the output pin and ultrasonic sensor HC-SR04. The highest voltage reaches 673.2 Mv, when the distance to the object is 40 cm with the lowest voltage is 100.3 mV with the closest distance being 5 cm.

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