https://www.adi-journal.org/index.php/conferenceseries/issue/feed Conference Series 2022-01-26T14:28:12+00:00 publishing publishing@adi-journal.org Open Journal Systems <p><a href="https://adi-journal.org/index.php/conferenceseries/index" target="_blank" rel="noopener"><strong><img style="float: left; width: 210px; margin-top: 8px; margin-right: 10px; border: 2px solid#4682b4;" src="https://adi-journal.org/public/site/images/manggraeni/cover-depan-icri-3.png" /></strong></a>ADI International Conference Series (AICS) is part of <strong><a href="https://pandawan.id/#page-content" target="_blank" rel="noopener">Pandawan Incorporation</a></strong> is a free and open access scientific journal published by <strong><a href="https://adipublisher.id/" target="_blank" rel="noopener">ADI (Asosiasi Dosen Indonesia)</a></strong> Publisher and supported by <strong><a href="https://alphabetincubator.id/" target="_blank" rel="noopener">Alphabet Incubator</a></strong>, in order to facilitate scientific journals produced by Civitas Academika in the field of Business and Digital Economy, Cryptography, Creativepreneur, Financial Management and Economic and Business Education in facing the digital era in Indonesia. All submitted articles will undergo a Strict Double-Blind Peer-Reviewing process. Published articles will have a Digital Object Indentifier (DOI).</p> https://www.adi-journal.org/index.php/conferenceseries/article/view/711 Design of Educational Social Media as Collaborative Learning in post Pandemic 2022-01-26T14:28:12+00:00 Muzakki Ahmad muzakki@amikom.ac.id <p><em>Research on the design of educational social media as collaborative learning</em><em> in</em><em> post pandemic is a response to the conditions and impacts from occurred on education in Indonesia after covid-19. Based on data from the Ministry of Education and Culture Indonesian in April 2020, the Analysis of the Quick Survey of Learning From Home in Covid-19 Prevention Period, stated that the number of students who carried out interactive learning online with their teacher was less than 40% and the majority of students learned by doing questions from the teacher and learning independently from textbooks. The ideal teacher competence in online learning is a teacher who can implement video conferencing and can create online teaching materials. The pandemic came suddenly and the readiness of teachers and students in online learning is a factor in the effectiveness of teaching and learning activities in Indonesia. This educational social media design is purpose to facilitate teachers and students in collaborative learning that can be carried out by all teachers and students in Indonesia. This research produces output of educational social media design in the form of data flow diagram and interactive flow of application. The research method used is a combination of literature study and field study in order to obtain effective social media references for education category.</em></p> <p><em>The results of the research are in the form of data flow diagrams and interactive flow which can describe the concept of educational social media before being implemented into applications. Data flow diagrams are used for database design and database relationship on application data requirements, while interactive flow is the initial stage in making user interfaces application. So with the results of this research, a prototype of educational social media applications can be drawn as collaborative learning.</em></p> 2022-01-26T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/709 Prediction Of Graduation Time For Students Faculty Of Computer Science Amikom University Yogyakarta Using Naïve Bayes Method 2022-01-25T13:57:26+00:00 Adhy Syahputra adhy.syahputra@students.amikom.ac.id Rum Mohamad Andri K. Rasyid andri@amikom.ac.id Istiningsih Istiningsih istiningsih@amikom.ac.id Ardi Surwiyanta surwiyanta@gmail.com Haile Qudrat Djojodibroto haile.djojodibroto@amikom.co.id Edy Anan edyanan@amikom.ac.id <p><strong>The graduation rate on time in college cannot be taken lightly. In many cases, it is found that there is an imbalance in the number of students who enter and who have completed their studies so that there is a high accumulation of the number of students in each batch. It is necessary to know the factors that cause students not to graduate on time. Data classification techniques can be used to predict the timeliness of student graduation. The algorithm used is the Naïve Bayes algorithm with data from 122 students from the Informatics Engineering and Information Systems study program at the Faculty of Computer Science, AMIKOM University, Yogyakarta. Based on the results that have been carried out, it can be concluded that the Naïve Bayes algorithm is applied accurately to predict the timeliness of students' graduation. The results of testing the level of prediction accuracy resulting from the trial reached 90.16%.</strong></p> 2022-01-26T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/708 Policy Implementation of Slum Upgrading Program in Coastal Area, (Case Study: Slum Upgrading in Kelurahan Tanjungmas, Semarang) 2022-01-25T14:55:21+00:00 Nimah Mahnunah nimahmahnunah@amikom.ac.id Gardyas Bidari Adninda gardyasadninda@amikom.ac.id Renindya Azizza Kartikakirana renindyakartikakirana@amikom.ac.id Rivi Neritarani rivi.neritarani@amikom.ac.id Bagus Ramadhan bagusramadhan@amikom.ac.id <p><em>Most of the slums are located in coastal areas because the coastal areas are close to the main livelihoods as fishermen. Agung Ridlo, from Sultan Agung University, conducted a study that concluded that North Semarang has a specific attraction for migrants because its location is the center of trade and industry. The migrants came and looked for places to stay near their factories or beaches. Thus, slum areas were formed gradually. This research is aimed to examine policy implementation of slum upgrading programs in </em><em>Kelurahan Tanjungmas Coastal Area</em><em>. The research method is a qualitative method by using qualitative descriptive analysis techniques. The study finds the Implementation process of houses improvement program in Kelurahan Tanjungmas coastal area reflecting based on the policy map in the policy model is a lead to the model of ‘top-down’. The top-down model is a pattern conducted by the government for the community and the community participation only more in mobilization form.</em></p> <p><em>&nbsp;</em><em>Keywords: policy, implementation, slum, coastal area</em></p> 2022-01-26T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/707 An Analysis of South Korean TRUST Diplomacy toward Indonesia in Pandemic Covid-19 2022-01-25T13:20:41+00:00 Sannya Pestari Dewi sannya.pestari.dewi@amikom.ac.id Ulul Azmiyati Auliyah sannya.pestari.dewi@amikom.ac.id <p><em>This paper analyzes the factors that influenced South Korea to issue TRUST diplomacy and made Indonesia as the object of its diplomacy during the Covid-19 pandemic. In previous year before Covid-19 outbreak, Indonesia and South Korea had experienced stagnation in strategic economic cooperation negotiations, but the two countries managed to reach the agreement in the early of 2020. This research will use qualitative research methods. Based on William D. Coplin's theory of foreign policy making, it was found that domestic political conditions, the influence of sentiment on trade liberalization from the business group, the decline in South Korean exports due to the trade war and South Korea's relations with Japan, and South Korea's status as a middle power country in the world as well as Indonesia's position as a bridge for South Korea to enter the ASEAN market which is the biggest driving factor for South Korea to carry out TRUST diplomacy in Indonesia. South Korea took advantage of the pandemic momentum to appear to form a positive image and increase the confidence of its strategic partner countries</em></p> 2022-01-26T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/706 System Requirements Of Authentic Assessment Information Systems Model Applications 2022-01-25T13:18:54+00:00 Laser Narindro lasernarindro@stikom-bali.ac.id Ni Wayan Deriani deriani@stikom-bali.ac.id Azhar Rizki Zulma azhar.rizky2000@gmail.com Arfa Maulana arfamaulana2000@gmail.com <p><em>Human needs to meet their needs cannot be separated from the role of information technology (IT) to provide data and information needs. In the education sector, the need for application of IT is carried out as an effort to support learning activities. One of application for education is a learning management system. Through this research, it will explain the system requirements for an authentic assessment information system based on web application. When conducting an authentic assessment, the teacher will assess the aspects of attitudes, knowledge and skills of student for vocational high school levels. The assessment tools for authentic assessments can be through by performance, writing, projects and portfolios assessments. The software development method used is the waterfall method, where for the needs analysis stage have used user requirement analysis and PIECES table. Meanwhile, for the design stage, we will use design tools by unified modeling language (UML). From the analysis and design of an authentic assessment information system based on web application, it is hoped that it can be one of the recommendations in building a learning management system media that is made in accordance with the assessment guidelines in the 2013 Curriculum.</em></p> 2022-01-26T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/703 An Approach for Reengineering Transformation from Relational Database to OWL Ontology 2022-01-25T08:58:21+00:00 Jaeni jaeni jaeni@amikom.ac.id <p><em>&nbsp;Ontology resources are more important for organizing knowledge. It has become an important task to improve the efficiency of ontology construction. How to generate ontology automatically from database&nbsp; is an emerging task in ontology buliding. In this paper we present a reengineering process that transforms relational databases to ontologies. Our goal is to have a well representation of the domain semantics to create a more complete Ontology</em></p> 2022-01-26T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/698 Analysis of Institutional Structure of The Yogyakarta Special Regional Government 2022-01-24T07:56:25+00:00 Ferri Wicaksono wicaksono.ferri@amikom.ac.id <p><em>This study aims to analyze the institutional arrangement of the Government of the Special Region of Yogyakarta (DIY). DIY as one of the autonomous regions certainly has institutional features. Institution becomes the main foundation in carrying out regional development. Institutional harmonization becomes a very important factor for regional apparatus organizations in providing public services. This research uses descriptive qualitative and explorative research methods. The results of this study that the institutional arrangement of the DIY Government accommodates 3 (three) institutional components, namely potential capacity, carrying capacity, and absorptive capacity. The DIY local government institution at the same time put forward the realization of asymmetric decentralization, the regional government of DIY taking into account the form and composition of the original government shown by the existence of Parampara Praja and Paninradya Kaistimewan. The special features of the DIY local government have positive implications in maintaining the spirit of local wisdom held by the Kingdom of Yogyakarta.</em></p> 2022-01-26T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/697 The Effect of Website Development Training for Handayani Vocational High School Students and Jeneponto Vocational Schools Using Paired T-test 2022-01-22T16:59:04+00:00 Johar Iin joharnuriin86@gmail.com Siti Arni sitti_arni@stmikprofesional.ac.id Medy Wisnu Prihatmono medy_wisnu_prihatmono@stmikprofesional.ac.id dikwan Moeis dikwan_moeis@stmikprofesional.ac.id <p><em>Vocational students are expected to have competence in order to be accepted in the industrial world. Website is one of the means used in the industrial world not only to coordinate work, but more broadly for product marketing, complaints and customer service. This training aims to make vocational students who carry out Field Work Lecture activities at STMIK Professional have the competence to create a simple website. The students who took part in the training on making this website came from SMK Handayani and SMK Jeneponto majoring in computer and network engineering. The stages of website creation training consist of the preparation, implementation and evaluation stages. Preparation is done by providing questionnaires, learning modules. The implementation was carried out at STMIK Professional Makassar with material for website creation with PHP, Boostrap and MySql. The post-test and pre-test assessment methods were tested using the paired t-test. The results of the analysis of the effectiveness of training activities show that students have a difference in the average score before and after training with a t-count of -6.08375.</em></p> 2022-01-26T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/696 Website-Based School Information System Design and Evaluation at Sma Negeri 1 Marga Tabanan-Bali 2022-01-22T15:41:00+00:00 I Gusti Putu Hardi Yudana hardiyudana@stikom-bali.ac.id Luh Putu Ayu Prapitasari prapita@stikom-bali.ac.id <p><em>At the moment SMA Negeri 1 Marga has developed a website which can be accessed anywhere and everywhere, by whomever, including the students and teachers, as well as it is open for public to access. The information, for example, announcement of the school’s activities, students enrollment (PPDB) and so on, can now be done through the Internet. The website can benefit everyone who uses it and can give more accurate information, simple to access yet effective. The aim of this research was to conduct an evaluation of the recently developed website. After it is evaluated, the result of validation and testing phase said that the developed website or school information system is adequate to be used, in which this means that the system is categorized as ‘Good’. It is based on the resulting evaluation from the content expert which was 3.9 (good), design expert 3.8 (good), teachers 4.2 (good), employees 3.7 (good), students 3.8 (good) and public 3.9 (good).</em></p> 2022-01-26T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/692 Application of the KNN Algorithm for Predicting Data Card Sales at PT. XL Axiata Makassar 2022-01-22T11:59:18+00:00 Medy Wisnu Prihatmono medy_wisnu_prihatmono@stmikprofesional.ac.id Sitti Arni arnist1903@gmail.com Johar Nur Iin iinstmikpro@gmail.com Dikwan Moeis dikwan_moeis@stmikprofesional.ac.id <p><em>XL Axiata Company, TBK. Is an internet access service provider from the many operators in Indonesia and has to provide the best service in communication in the ease of communication services. The mainstay of communication service products owned by XL Axiata, TBK for the wider community is XL Prioritas Unlimited which includes three types of packages, namely silver, gold and platinum. People using these three packages have different levels of demand. Order the number of products ordered every month by the company, should be made based on the prediction of the number of previous sales. This study was conducted to assess product sales in the form of K-Nearest Neighbor (KNN) classification modeling. The number of datasets used is 500 records with details of 90% training and 10% testing. The results obtained are predictions of 0.98%.</em></p> 2022-01-25T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/691 Information Systems Strategic Planning Using the Ward and Peppard Method 2022-01-22T11:55:55+00:00 triwidayanti triwidayanti69@gmail.com Iskandar Zulkarnaen iskandar.zulkarnaen0101@gmail.com <p>The application of information systems that have not been maximized at BPR Centradana Kapuas is due to the unplanned development of an information system that refers to the information system strategic planning document. This study aims to produce a strategic plan of information technology and systems that are appropriate and sustainable, as well as analyzing business areas and making strategic information so that it is easier to determine strategic decisions and can overcome problems that exist in BPR Pancur Banua Khatulistiwa. The research method used in strategic planning of this information system uses the Ward and Peppard Model. The proposed information system strategy planning is based on internal and external business environment analysis as well as IS/IT internal and external environmental analysis through SWOT analysis, SWOT Matrix, Value Chain Analysis, PEST analysis and IS/IT analysis which produces a portfolio for future information system needs.</p> 2022-01-25T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/669 The Teacher Placement using K-Means Clustering and Genetic Algorithm 2022-01-21T03:15:39+00:00 Haris Sriwindono haris@usd.ac.id PH Prima Rosa haris@usd.ac.id Kartono Pinaryanto haris@usd.ac.id <p><em>The problem of teacher placement in a school is a problem faced by Magelang Regency. The success of teacher placement is determined by the minimum total distance between the teacher and the school, with the aim that teacher performance is maintained. In computer science this problem is an NP-hard problem that takes a very long time to achieve optimal results when done with conventional methods. Another approach to solve this problem is to use heuristic algorithms, one of which is by using genetic algorithms. To further improve the performance of genetic algorithms, one way is to narrow the search space. In this study, the problem will be broken down first through a clustering process so that the search space becomes narrower, before being subjected to genetic algorithm processes. This study will cluster the original data, before being subjected to a genetic algorithm to solve the problem of teacher placement. The clustering method used is the K-Means clustering method while the Genetic Algorithm uses the Ordered Crossover (OX) operator and the Partial Shuffle Mutation (PSM) mutation operator. From this study, it was found that by performing K-Means clustering before the optimization process using the Genetic Algorithm turned out to get better results than without using clustering. The total distance without clustering is 11751 km while with clustering it 9259 km. Also the total running time to execute this program turned out to be much shorter (from the order of hours to the order of minutes).</em></p> 2022-01-25T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/668 PCA Implementation In Identifying Risk And Return of LQ45 Stocks 2022-01-20T17:56:25+00:00 Irawan Wingdes irawan.wingdes@gmail.com Sahrul Nurfaizi irawan.wingdes@gmail.com Muhamad Rifki irawan.wingdes@gmail.com <p><em>Stock investing is a high-risk investment, so investors are constantly looking for ways to reduce risk while adapting returns. Lower risk stock groups are represented in Indonesia by the LQ45 index, which includes stocks with high liquidity, large capitalization, and good fundamentals. However, the index contains 45 members with varying risk and return. As a result, the price action analysis of the index's stock members is required to further reduce risk. This study employed principal component analysis to identify the index's various price action groups. PCA was used in Python 3 and produced two groups that explain 70.91% of the variance in the index's price movement. The stock groups derived from PCA were further analyzed, and ANOVA revealed that the groups differed significantly in return but not significantly in risk. The implemented PCA demonstrated potential return for a variety of investors interested in LQ45 stocks. </em></p> 2022-01-25T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/667 Feature Selection Technique for improving classification performance in the web-phishing detection process 2022-01-23T06:47:04+00:00 Anggit Ferdita Nugraha anggitferdita@amikom.ac.id Dwiky Alfian Tama dwiky.tama@students.amikom.ac.id Dewi Anisa Istiqomah dewianisaist@amikom.ac.id Surya Tri Atmaja Ramadhani surya@amikom.ac.id Bayu Nadya Kusuma bayu.nadya@amikom.ac.id Vikky Aprelia Windarni vikkyaprelia@amikom.ac.id <p><em>Web phishing is a type of cybercrime that occasionally threatens the online activities of website visitors. Web phishing uses a phoney website page that closely mimics the legitimate Website in order to fool its target into providing crucial information. Web phishing attacks also continue to grow in popularity year after year. As a result, it is vital to design a web phishing detection system in order to reduce the number of victims and financial losses caused by web phishing attacks. The development of a web phishing detection system continues to this day, with machine learning being the most often used model. Unfortunately, the construction of a machine learning-based web phishing detection system frequently employs only a single classification step; however, the feature selection process enables an increase in the performance of the resultant classification. Thus, an experiment was conducted in this paper by using a feature selection procedure based on the Pearson correlation algorithm prior to doing machine learning modelling utilizing popular algorithms such as Naive Bayes, Decision Tree, and Random Forest. As a result, using a web phishing dataset from the UCI Machine Learning Repository, it was determined that the addition of the feature selection process based on the use of decision tree and random forest algorithms resulted in an increase in accuracy of up to 94.60 percent and 95.50 percent, respectively, and a slight decrease in accuracy of 0.4 percent when implemented in the Naive Bayes algorithm.</em></p> 2022-01-25T00:00:00+00:00 Copyright (c) 2022 Conference Series https://www.adi-journal.org/index.php/conferenceseries/article/view/666 Cheng's Fuzzy Time Series Method Implementation In Predicting The Number Of Covid-19 Positive Cases In Indonesia 2022-01-20T09:44:52+00:00 Andi Rafianto andi.rafianto@students.amikom.ac.id Rum Mohamad Andri Kristiyanto Rasyid andri@amikom.ac.id Bernadhed bernadtagger@amikom.ac.id Istiningsih istiningsih@amikom.ac.id <p><strong><em>At the beginning of 2020, citizens </em></strong><strong><em>all </em></strong><strong><em>around the world were </em></strong><strong><em>streaked</em></strong><strong><em> by the Corona Virus (Covid-19) pandemic which caused terror </em></strong><strong><em>far and near</em></strong><strong><em>. Millions of people were infected and thousands more died</em></strong><strong><em> ever s</em></strong><strong><em>ince the World Health Organization or WHO has declared the Corona Virus (Covid-19) a</em></strong><strong><em>s a global</em></strong><strong><em> pandemic. Following up on this, the Indonesian government also stated that the Corona Virus problem had become a non-natural national disaster. The President of the Republic of Indonesia and the Regional Government along with their </em></strong><strong><em>staffs </em></strong><strong><em>work</em></strong><strong><em>ed </em></strong><strong><em> hand in hand to take several tactical steps as an effort to prevent the spread of the Corona Virus (Covid-19) in the community.</em></strong><strong><em> </em></strong><strong><em>In th</em></strong><strong><em>is</em></strong><strong><em> study, </em></strong><strong><em>authors use</em></strong><strong><em> one method to make predictions or forecasting, </em></strong><strong><em>that is</em></strong><strong><em> the Cheng Fuzzy Time Series method, to predict the number of Covid-19 cases in Indonesia so that the government can take tactical steps after knowing the predicted number of </em></strong><strong><em>the </em></strong><strong><em>cas</em></strong><strong><em>e</em></strong><strong><em>. The actual data used is the number of Covid-19 case from July 2020 </em></strong><strong><em>up </em></strong><strong><em>until October 2020.</em></strong><strong><em> </em></strong><strong><em>From the results of calculations that have been carried out using this method, the conclusion is that the performance is </em></strong><strong><em>splendid</em></strong><strong><em>, in the range of MAPE &lt;10</em></strong><strong><em>, whose</em></strong><strong><em> error value </em></strong><strong><em>is</em></strong><strong><em> 5%. With 95%</em></strong><strong><em> </em></strong><strong><em>value of accuracy.</em></strong></p> <p> </p> 2022-01-25T00:00:00+00:00 Copyright (c) 2022 Conference Series