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 7 Documents
Search results for , issue "Vol 9, No 2 (2020): November" : 7 Documents clear
ENGINEERING WEB-BASED INFORMATION SYSTEMS FOR MANAGEMENT OF WOMEN AND CHILD PROBLEM HANDLING ACTIVITIES Zaidir Zaidir; Indra Listiawan
Compiler Vol 9, No 2 (2020): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (981.13 KB) | DOI: 10.28989/compiler.v9i2.817

Abstract

The problem of violence against women and children, viewed from an individual as well as a social perspective, can have multiple effects. The effects such as psychological and individual health and the quality of public health. Women and children in everyday life often receive unpleasant treatment from close people and strangers. The constraints experienced are that often the two affairs are combined and handled by one sector, the number of officers is less than the cases handled, there is not enough budget to carry out follow-up actions and many residents do not want to disclose their problems directly to the authorities. There are many problems for women and children, so a "Task Force for Handling Women and Children Problems (Satgas PPA)", both at the central and regional levels. The activities of the PPA Task Force include: outreach, identification of conditions and services needed, protection of women and children at the scene (emergency assistance), placement and displacement of women and children who experience problems and referrals and / or recommendations. The research objective was to produce a management system for handling women and children activities in the village of Katekan, Gantiwarno, Klaten. The research method used consists of literature study, data collection and system development with the Waterfall method. The result of this research is a system capable of managing the activities of the task force handling women and children that can provide information in all variations to help make decisions. This system is built using PHP programming and MySQL DBMS.  
IMPLEMENTATION OF BACKPROPAGATION NEURAL NETWORK IN SENTIMENT ANALYSIS ON TWITTER TO PUBLIC FIGURES Achmad Safruddin; Arief Hermawan; Adityo Permana Wibowo
Compiler Vol 9, No 2 (2020): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (989.502 KB) | DOI: 10.28989/compiler.v9i2.834

Abstract

Sentiment analysis is a process for identifying or analyzing people's opinions on a topic. Sentiment analysis analyzes each word in a sentence to find out the opinions or sentiments expressed in the sentence. The opinions expressed can be in the form of positive or negative opinions. Twitter is one of the most popular social media in Indonesia. Twitter users always discuss various kinds of topics every day. One of the things discussed on Twitter and which has become a trending topic several times is about public figures. This study discusses the analysis of positive or negative sentiments towards public figures based on tweet data carried out by text processing. The results of text processing are classified using a backpropagation neural network. Tests were carried out using 69 test data, resulting in an accuracy of 62.3%, with 43 correct classification results.
WEB-BASED DECISION SUPPORT SYSTEM FOR GUEST STAR DETERMINATION IN E-MARKETPLACE USING WEIGHTED PRODUCT METHOD Asih Pujiastuti; Anggraini Kusumaningrum; Muhammad Ali Sofyan
Compiler Vol 9, No 2 (2020): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1277.786 KB) | DOI: 10.28989/compiler.v9i2.824

Abstract

At an event, the event organizer usually requires guest stars as performers. Event organizers often find it difficult to find a guest star that suits their needs for their event. The purpose of this research is to build an e-marketplace application as a web-based decision support system that can be used to find alternative decisions to choose guest stars according to the criteria using product weighting methods. The weighted product method is one of the methods that can be applied to web-based decision support system applications for determining guest stars in e-marketplaces. There are three criteria used to determine guest stars in this e-marketplace, these criteria are the type of show, price and location. As for the alternatives that were tested, there were nine alternatives consisting of guest stars in Yogyakarta. Functionality testing is carried out using the black box method and the result is that all functions and validation buttons on the e-marketplace can function properly. The result of calculation using the weighted product method is the guest star with the highest yield is Frengki Sermadi with a value of 0.135234, while the guest star with the lowest result is Sanggar Titik Dua with a value of 0.083222.
MEASURING THE WEBSITE QUALITY OF ADISUTJIPTO COLLEGE OF TECHNOLOGY BASED ON THREE DIMENSIONS (USABILITY, INFORMATION QUALITY AND SERVICE INTERACTION) Dwi Nugraheny; Yuliani Indrianingsih; Aldio Bima Saifullah
Compiler Vol 9, No 2 (2020): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (849.351 KB) | DOI: 10.28989/compiler.v9i2.780

Abstract

Perceptions about the quality of education are the ability to provide an assessment of the superiority of an educational service that can produce academic and non-academic excellence for students by reffering to input, the process of outcomes and the impact it causes. One of the non-academic service on institutions to users, especially students is a website. One of the vision of educational institutions is to provide service to students electronically through website and be expected that the college website can provide the best possible information to students. This study discusses how to measure the website quality of Adisutjipto College of Tehcnology (STTA) using 3 (three) dimensions; Usability, Information Quality and Service Interaction. This research is a descriptive study with a survey method. The research instrument used a questionnaire. The research subjects were 50 STTA students. The results of the measurement survey which are affected by those three dimensions shows that the quality of the STTA’s website is in the “Medium” category.
LATTICE BOLTZMANN PSEUDO-POTENTIAL MODELLING OF MULTIPHASE DROPLET PHENOMENA Thomas Ken Darmastono; Bahrul Jalaali
Compiler Vol 9, No 2 (2020): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.619 KB) | DOI: 10.28989/compiler.v9i2.835

Abstract

The multiphase modeling of a droplet in a multiphase system is considered becoming a fundamental problem in fluid dynamics. A complex understanding of droplet behavior is critical to reveal a deeper insight into a more complex multiphase system. Droplet behavior studies are necessary to obtain a better understanding of solving multiphase problems in both the science and industrial aspect. The droplet behavior is characterized by a non-dimensional number such as the Eötvös number. In this study, numerical simulation was performed using the Lattice Boltzmann method. Parametric studies of Eötvös number was done. The parametric study of the Eo number is obtained using LBM. Based on the results obtained, it is concluded that the gravitational force influences the downwards rate of the droplet. Furthermore, the shape of the droplet during falling was depended on the Eo number as well. The higher Eo number means higher gravitational force, hence the velocity of the droplet is increasing as well as the reaction force of surface tension. This study is beneficial to give a deeper explanation of multiphase phenomena as well as contribute to the modeling of multiphase phenomena using an alternative numerical method of LBM.
A BLOCKCHAIN-BASED APPROACH TO PREVENT HIDDEN CONTAGION OF COVID-19 Samen Anjum Arani; Md. Rashed Ibn Nawab; Md. Tanvir Rahman; Moniruz Zaman
Compiler Vol 9, No 2 (2020): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (840.984 KB) | DOI: 10.28989/compiler.v9i2.787

Abstract

The unprecedented outbreak of COVID-19 has become a grave concern worldwide because of its highly infectious nature. Besides extensive research on developing vaccine or medicine to prevent this virus attack, many technology-based solutions are also getting more importance as no one knows till date how to put a full stop on it. Being first conceptualized in 2008, blockchain technology gained enormous popularity in the cryptocurrency domain. However, nowadays, blockchain has also become popular in the healthcare domain as a privacy-preserving and data authenticity technique. The primary goal of our experiment is to develop a framework which can utilize the features of permissioned blockchain and maintain the fully controlled sharing of confidential health record to exhibit the health status and COVID-19 history of a patient using a mobile QR code based solution. So, the administrative team of any public place can be aware of the health condition of any people who are using this platform to prevent the unaware and hidden contagion of COVID-19. This article is the first of its kind to propose such a method to aid in solving this crisis. In our experiment, we have shown that Hyperledger Fabric as a base technology along with a robust user registration algorithm and data accessibility can solve the problem under consideration with a minimal health record of the patient. The proposed architecture also offers the patient more control over the health record, where the healthcare service provider assures the authenticity of the data, and the intrinsic feature of the blockchain technology makes it immutable.
AN ANALYSIS OF THE CORRELATION OF CONSUMER PURCHASE PATTERNS USING APRIOPRI METHOD (A CASE STUDY OF CV. VIFOR CIPTA SOLUSI) Junianto Bagas Prasetyo; Mutaqin Akbar
Compiler Vol 9, No 2 (2020): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (802.1 KB) | DOI: 10.28989/compiler.v9i2.779

Abstract

CV. Vifor Cipta Solusi is a company that provides electronic equipment. The competition in business, especially among companies providing electronic equipment, is growing. To increase sales of the products, business people in this field need to set a strategy. This research applied the data mining with association technique to find out strong combinations between items. Apriori algorithm is part of the association method in data mining which aims to find out frequent item sets from a certain set of data. The apriori algorithm process is carried out by determining frequent itemsets that meet the requirements of the predetermined minimum support and minimum confidence. From these two measurements, the final association rule can be obtained by which the value of the accuracy (validity) of the association is calculated using the lift ratio. This research obtained 2 association rules with item attributes totaling 294 types of products from 20 main attributes with 1813 records processed from 5282 raw transaction data from January to December 2019. The strong rules obtained are MagnetToner HP Laserjet 85 A, Drum Toner HP Laserjet 85 A => HP Laserjet 85 A toner with a support value of 3.42%, and a confidence value of 81.58% with a lift ratio of 5.00.If a consumer buys an HP Laserjet 85 A MagnetToner and a HP Laserjet 85 A Toner Drum, the consumer will also buy an HP Laserjet 85 A Toner. 

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