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International Conference on Digital Advanced Tourism, Management, and Technology
Published by Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang
ISSN : -     EISSN : 30315999     DOI : 10.56910
Core Subject : Science,
Decision Sciences, Operations Research & Management
INTERNATIONAL CONFERENCE ON DIGITAL ADVANCED TOURISM, MANAGEMENT, AND TECHNOLOGY (ICTMT) published by : Sekolah Tinggi Ilmu Ekonomi Pariwisata Semarang (STIEPARI). International Conference is a bridge to provide information for educational institutions and lecturers/teachers that occurs within the scope of DIGITAL ADVANCED TOURISM, MANAGEMENT, AND TECHNOLOGY. ICTMT is published twice a year (June and December).
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis dan Menejemen Intetrnasional
Articles 162 Documents
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The Influence Of Profitability, Capital Intensity, Independent Board Of Commissioners, Audit Committee, Managerial Ownership And nstitutional Ownership On Tax Avoidance: Study of Secondary Consumer Goods Industry Companies Listed on the Indonesian Stock Exchange 2016-2020 Asri Krisnawati; Sarsiti Sarsiti; Alyssa Mellindina
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.60

Abstract

The objective of this research is to examine the impact of profitability, capital intensity, independent board of commissioners, audit committee, managerial ownership and institutional ownership on tax avoidance in secondary consumer goods industry companies listed on the Indonesia Stock Exchange in 2016-2020. The sample was selected using purposive sampling method. The total sample used amounted to 34 secondary consumer goods industrial companies 5 years of observation. The analysis technique used is multiple regression analysis. Indication of the reasrch conclude that capital intensity has a positive impact, managerial ownership negatively affect, institutional ownership has a negative impact on tax avoidance. Meanwhile profitability, independent board’s commissioners and audit committee have no impact on tax avoidance.
Comparative Analysis Of Saw And Topsis In Selecting Recipients Of Basic Food Assistance Adhika Pramita Widyassari; Mohamad Ardy An’syah; Retno Wahyusari
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.61

Abstract

The Basic Food Program is one of the Indonesian government's alternative programs for distributing aid to underprivileged or poor communities. A selection process needs to be carried out to determine recipients of basic food assistance. Decision Support Systems are effective systems used to produce calculations with output in the form of rankings. The methods that are quite widely used are the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). This research aims to apply the SAW and TOPSIS methods in selecting aid recipients so that appropriate results are obtained which can be proposed as solutions to decision-making problems. There are 6 criteria used in this case, including: residence, occupation of the head of the family, type of floor, type of wall, place to urinate, lighting source. The data used as a test is data from the Banyuurip village community in 2023. The calculation process is carried out by finding the weight value of each alternative for each criterion. The selected aid recipients are those who have the greatest value as the best alternative. From the calculation results of the SAW (Simple Additive Weighting) and TOPSIS methods, the calculation results of the two methods were obtained. The alternative with the largest value or rank 1 produced by SAW and TOPSIS was both selected as alternative A10. Of the 12 data tested, SAW and TOPSIS have 50% similar alternative ranking results, including: rank 1 = A10, rank 5 = A9, rank 7 = A7, rank 8 = A6, rank 11 = A2, and rank 12 = A12. The SAW method gets better results compared to the TOPSIS method, because it gets precise, stable results and shorter processing time.
Classterization Of Village Welfare Levels With The K-Means Algorithm For Planning Quality Of Life Improvement Program: Case Study District XYZ Yani Prihati; Alexander Dharmawan  ; Tri Purwani  ; Yusup Yusup; Berlian Setya Hanugraheni  
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.62

Abstract

This research applies the concept of big data and the data mining process and aims to provide clustered data on village welfare levels which can help local governments to properly plan programs to improve the quality of life of village communities. Research case study in District XYZ  whose area includes 11 villages. The clustering process is carried out using the K-Means algorithm which groups data based on similar characteristics. The data analysis process was carried out using the RStudio tool and Microsoft Excel as a comparison. The data set used has 10 attributes, namely village name, number of Pre-Prosperous families, economic reasons (Alek) in the Pre-Prosperous column, non-economic reasons (Bulek) in the Pre-Prosperous column, number of Prosperous Families I (KS I), Alek in the KS column I, Bulek in column KS I, number of Prosperous Families (KS II), number of Prosperous Families (KS III) and number of Prosperous Families (KS III) Plus. Data processing with both tools show the same results, namely that there are 2 clusters. Cluster 1 is a cluster with a high level of welfare, consisting of 4 villages and Cluster 2 is a cluster with a low level of welfare, consisting of 7 villages.
Mapping A Decade Of Financial Technology Landscape : Open Knowledge Maps Alien Akmalia
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.63

Abstract

The study of financial technology has become one of the most interesting studies for researchers in recent years. The purpose of this paper is to present the development of research on financial technology over the last 10 years. This study analyzed 85 papers in terms of financial technology using the Open Knowledge Maps (OKM) application. The data source was obtained from the metadata of scientific journals from 2013 – 2022. Based on the results of analysis using open knowledge maps shows that there are 11 research clusters on financial technology. There are three key dimensions of the result analysis are highlighted: (1) an exhaustive overview and descriptive information for the complete document set sourced from BASE-indexed articles, (2) data on article categorization into relevant clusters along with corresponding document counts, and (3) areas related to financial technology that present substantial opportunities for future research agenda. The results indicate that there is considerable interest in studying financial technology in terms of demography and linking it to corporate innovation. Numerous underexplored research opportunities exist in the fintech domain, including themes such as human capital, innovation capability, sharia financial technology, peer-to-peer lending, and financial literacy. This study contributes to both practical and academic areas by (1) it can guide decision-making processes related to the company's use of financial technology, (2) this research can serve as a foundation for identifying research gaps, and as a reference source for future studies in the field of financial technology.
Determinants Of Financial Performance Of Digital Banks In The Indonesia Stock Exchange Ima Kristina Yulita
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.64

Abstract

Financial transactions have become a necessity for almost everyone and organizations in the present day. The existence of digital banks utilizing financial technology for their operational activities greatly aids customers who seek fast, convenient, and time-saving transactions. This research aims to identify the factors influencing the financial performance of digital banks listed on the Indonesia Stock Exchange. Financial performance is measured by Return on Asset. The research sample consists of 6 digital banks listed on the Indonesia Stock Exchange, using data from 2016 to 2022. The data is analyzed using Multiple Linear Regression Analysis. The results show that Foreign Ownership, Capital Adequacy and Operating Costs to Operating Revenue have an impact on financial performance, while Institutional Ownership and Loan to Deposit Ratio do not affect the financial performance of digital banks. This implies that foreign ownership, Capital Adequacy, and Operating Costs to Operating Revenue factors should be a consideration for investors planning to invest in digital banks.
Comparative Analysis Of Performance Levels Of Svm And Naïve Bayes Algorithm For Lifestyle Classification On Twitter Social Media Fadlila Nurwanda; Winita Sulandari; Yuliana Susanti; Zakya Reyhana
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.65

Abstract

Lifestyle is how individuals express themselves through their activities and interests and utilize their financial resources and available time. Twitter is a social network platform that allows people to express opinions and directly criticize various topics, including the recently widely discussed lifestyle topics. Topic classification on Twitter is central in facilitating the search, recommendation, and management of relevant content for users. This research aims to analyze public sentiment regarding lifestyle using 11,000 pieces of data with the keywords "concert", "watching films", "smoking", and others related to lifestyle. Research data is labeled according to the sentiment of public opinion towards lifestyle. Negative polarity for data that has the context of "underestimating", "insulting", "sarcastic", and "feeling sad". Positive polarity for data that has the context of "grateful", "praying", "feeling happy", and "encouraging". Neutral polarity for data that has the contexts “ask”, “predict”, and “feel surprised”. Next, the data enters the pre-processing stage, which consists of case-folding, tokenization, stopword removal, and lemmatizing. The analysis continues by dividing the data into training and test data with a ratio of 70%:30%. Sentiment analysis uses an algorithm Support Vector Machine (SVM) and Naïve Bayes Classifier (NBC). The analysis results show that the SVM algorithm provides better classification than NBC. In this case, the SVM algorithm produces accuracy, precision, recall, and value F1-Score the same, namely 61%.
Implementation Of The Al-Qur’an Literacy Education Program At The Darussalam Foundation, Cibubur Tourism City Sugiarto Sugiarto; Hanifudin Aminullah  ; Siti Rochanah  
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.66

Abstract

Al-Quran Literacy Education is part of the development of a mosque, where the mosque becomes the center of education and worship for Muslims. The Qur’an is primary literature among Muslims, both used as guidance and worship. Moreover, Minister of Education and Culture Regulation No. 21 of 2016 concerning Educational Content Standards states that reading and understanding the Al-Qur'an is an important component in Islamic Religious Education. The reality is that the Al-Quran literacy index in Indonesia is not high, in fact tends to be low, there are around 60-70% of Indonesian Muslims who cannot read the Al-Qur'an. Therefore, the Darussalam Mosque in the tourist city is implementing a Qur'an literacy education program which is religious education to overcome Al-Qur'an illiteracy/Qur'an illiteracy for the community. The targets in this research is the Management of the Darussalam Mosque. The research method uses a qualitative descriptive approach. The results show that the educational service program is the Qur'an Workshop. The Qur'an Workshop program is a Qur’an learning education for elderly people ranging from 50-60 years and over as an effort to enlighten the Muslim community so that they can read and understand the holy book of the Koran as a guide to life based on activities taught by teachers at the mosque (ustadz and ustadzah) who really have the ability to teach Qur’anic literacy to the elderly community. The presence of the Qur'an workshop program is expected to be able to overcome the very high number of Qur'an illiteracy in the community.
Implementation Of The Rivest Cipher 4 Method Web-Based Employee Data Dwi Kuswanto; Ach. Khozaimi; Deden Nur Eka Abdi 
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.67

Abstract

Data security has always been an exciting topic to discuss in the era of globalization and industrial revolution 5.0. Along with the development of Cryptographic techniques, which continue to develop. Security of data storage techniques is essential in a data security system. The method used in this research is the Rivest Chiper 4 Algorithm. This research takes a case study of employee data storage security in a company that uses local storage as a medium for storing employee data. A web-based employee data collection system with the Rivest Chiper 4 algorithm implemented on the server side. The research results show that in testing the Avalanche Effect Rivest Chiper 4 algorithm with three key character length variations, an average value of 50.87% was obtained. The test results show that the average Avalanche Effect value is more than 50%, indicating that small changes to the plaintext can impact the ciphertext. With the help of Cryptool 1, using Brute Force time testing results with variations in key length, the password cracking time was 33 years with a 6-character key length. The longer the key is used, the longer the completion process will take to crack the ciphertext. Meanwhile, plaintext length is linearly correlated with the length of Brute Force testing time but is insignificant. Hardware performance also affects the estimated time of Brute Force.
Virtual Tour As A Tourist Attraction Promotion Media Using Multimedia Development Life Cycle Dwi Intan Af’idah
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.68

Abstract

This study is dedicated to the development of a comprehensive web-based virtual tour application known as the "Virtual Tour Application for Lembah Rembulan Tourist Attraction," designed to function as an information hub. Despite possessing diverse attractions and geographical advantages, the local tourism sector is inadequately promoted due to limited utilization of digital technology. The research follows the Multimedia Development Life Cycle (MDLC) methodology. Notably, the virtual tour website developed in this study provides a website profile, social media information, contact details for the tourist destination operator, and reviews, serving as valuable considerations for prospective tourists. Another noteworthy feature is the dynamic nature of information in the virtual exploration component, enabling tourist attraction operators to make real-time adjustments. It is anticipated that the Virtual Tour Application for Lembah Rembulan Tourist Attraction will serve as a platform for information sharing, fostering immediate community interest in visiting Lembah Rembulan Tourist Attraction. Black-box testing results affirm the effective construction of the system based on proposed scenarios, with two testing roles: visitors and tourist attraction operators.
The Influence Of Performance Benefits And Work Discipline On The Performance Of The State Civil Apparatus: Empirical Study Of Demak Regency Regional Secretariat Ina Mega Nuryati; Hikmah Hikmah
International Conference On Digital Advanced Tourism Management And Technology Vol. 1 No. 1 (2023): International Conference on Digital Advanced Tourism, Management, and Technolog
Publisher : Sekolah Tinggi Ilmu Ekonomi Pariwisata Indonesia Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/ictmt.v1i1.69

Abstract

This research aims to determine the effect of performance allowances and performance discipline on employee performance. The population in this study was 120 ASN employees at the Regional Secretariat of Demak Regency. The sample size was 55 respondents based on the Slovin formula. The sampling method used was Proportionate Stratified Random Sampling and Simple Random Sampling. The data analysis used in this research is multiple linear regression.The research results show that performance allowances influence employee performance at the Demak Regency Regional Secretariat. The better the benefits provided, the better the employee's performance. Work discipline influences employee performance at the Demak Regency Regional Secretariat.

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