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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Bulletin of Electrical Engineering and Informatics Journal of Information Systems Engineering and Business Intelligence Annual Research Seminar Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi Jurnal Teknoinfo JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mnemonic Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi dan Sistem Informasi Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer EXPLORER Jurnal Ekonomika Dan Bisnis Paradigma Malcom: Indonesian Journal of Machine Learning and Computer Science Eduvest - Journal of Universal Studies Jurnal Ilmiah Informatika dan Ilmu Komputer The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika
Ryan Randy Suryono
Universitas Teknokrat Indonesia
Aerospace Engineering Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Audit Tata Kelola Teknologi Informasi Untuk Integritas Data Menggunakan Framework Cobit 5 Pada PT Kereta Api Indonesia (Persero) Divre IV TNK Rachmad Nugroho; Ryan Randy Suryono; Dedi Darwis
Jurnal Teknoinfo Vol 10, No 1 (2016): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v10i1.22

Abstract

PT Kereta Api Indonesia (Persero) Divre IV Tanjungkarang merupakan salah satu badan usaha milik negara yang bergerak dalam bidang jasa transportasi yang telah memanfaatkan teknologi informasi yaitu penggunaan system Trainplan. Namun dalam penerepan sistem Trainplan terdapat beberapa kendala yaitu salah satunya integritas data yang terjadi kurang baik sehingga dalam mendukung meraih tujuan perusahaan kurang maksimal.Untuk memastikan keakuratan, aksesibilitasi dan kualitas tinggi dari sebuah data, maka harus dilakukan audit sistem informasi. Audit sistem informasi dilakukan untuk meningkatkan integritas data pada PT Kereta Api Indonesia (Persero) Divre IV Tanjungkarang. Pengumpulan data dilakukan dengan cara menyebarkan kuesioner, wawancara, dokumentasi dan observasi secara langsung. Hasil pengumpulan data digunakan untuk mengetahui kelemahan-kelemahan sistem pada PT Kereta Api Indonesia (Persero) Divre IV Tanjungkarang. Audit sistem informasi ini menggunakan framework COBIT 5. Domain yang digunakan pada penelitian ini adalah Evaluate Direct and Monitor (EDM), Align Plan and Organise (APO), Build Acquire and Implement (BAI), Deliver Service and Support (DSS), dan Monitor Evaluate and Assure (MEA) yang bertujuan mengetahui sejauh mana PT Kereta Api Indonesia (Persero) Divre IV Tanjungkarang telah menerapkan integritas data dan informasi.Kata kunci: COBIT 5, Audit Sistem Informasi, Tata Kelola, Trainplan, Integritas Data
Application of named entity recognition method for Indonesian datasets: a review Indra Budi; Ryan Randy Suryono
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4529

Abstract

A name entity (NE) is a proper name that designates a person, location, or organization. For humans, named entity recognition (NER) is a straightforward process insofar as many named entities are self-names, and most of them have initial capital letters and can be easily recognized, but it is very difficult for machines. This study discusses research trends in the application of NER to Indonesian datasets, particularly as it concerns certain tasks, datasets, methods/techniques, and entity labels. By conducting a systematic literature review (SLR) and bibliometric analysis with VOSviewer, this article hopes to provide opportunities for adopting old methods, combining models from previous research, and even proposing new methods. In addition, the motivation for doing SLR at NER is to look for new strategies in the supervision of financial technology (Fintech). If machines can find illegal Fintech entities on social media and online news, it can help the government to block these illegal Fintech entities. To this end, this study provides an overview of research trends in applying the NER method to Bahasa Indonesia (Indonesian) datasets, including the extraction of news articles, the monitoring of floods, and traffic.
Information Security Risk Assessment (ISRA): A Systematic Literature Review Rias Kumalasari Devi; Dana Indra Sensuse; Kautsarina; Ryan Randy Suryono
Journal of Information Systems Engineering and Business Intelligence Vol. 8 No. 2 (2022): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.8.2.207-217

Abstract

Background: Information security is essential for organisations, hence the risk assessment. Information security risk assessment (ISRA) identifies, assesses, and prioritizes risks according to organisational goals. Previous studies have analysed and discussed information security risk assessment. Therefore, it is necessary to understand the models more systematically. Objective: This study aims to determine types of ISRA and fill a gap in literature review research by categorizing existing frameworks, models, and methods. Methods: The systematic literature review (SLR) approach developed by Kitchenham is applied in this research. A total of 25 studies were selected, classified, and analysed according to defined criteria. Results: Most selected studies focus on implementing and developing new models for risk assessment. In addition, most are related to information systems in general. Conclusion: The findings show that there is no single best framework or model because the best framework needs to be tailored according to organisational goals. Previous researchers have developed several new ISRA models, but empirical evaluation research is needed. Future research needs to develop more robust models for risk assessments for cloud computing systems.   Keywords: Information Security Risk Assessment, ISRA, Security Risk
The Integrated Information System Implementation Strategy in Korlantas Polri Based on the Zachman Framework Approach Rachmi Azanisa Putri; Panca Hadi Putra; Ryan Randy Suryono
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 2 (2023): April 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i2.4842

Abstract

Traffic Police Corps (Korlantas Polri) is the executor of the main duties of the Indonesian National Police in the areas of security, safety, order and smooth traffic. Korlantas has some information that can be accessed by the public, namely information on congestion, accidents, traffic flow status, vital objects, road conditions, data and visual images from CCTV, public service conditions, and traffic infrastructure. However, these data are stand alone and not integrated with their respective applications and systems. The purpose of this study is to analyze the strategy for implementing an integrated information system at Korlantas Polri and what steps can be taken to integrate the existing system. This study uses the Zachman Framework which is adapted to Enterprise Architecture Planning (EAP) and qualitative data collection methods by interviewing stakeholders who are involved in managing information systems at Korlantas Polri. The results obtained are the need for a data warehouse by implementing an AI based integrated database system, Geospatial Information System, Business Intelligence and DSS, as well as Smart Visualization to visualize existing data. Then standardize the need for equipment and support for improving the ability of personnel in the IT field.
Trends and Applications of Gamification in E-Commerce: A Systematic Literature Review Muhamad Adhytia Wana Putra Rahmadhan; Dana Indra Sensuse; Ryan Randy Suryono; Kautsarina Kautsarina
Journal of Information Systems Engineering and Business Intelligence Vol. 9 No. 1 (2023): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.9.1.28-37

Abstract

Background: Gamification is a trend that has emerged with the growth of e-commerce. Given the wide range of human characteristics, determining which gamification elements perform well and what impact those gamification elements have can be challenging. Objective: This study aims to conduct a systematic literature review to broadly review the impact that can be caused by the application of gamification elements in e-commerce. This study also attempts to identify the current trends in using gamification elements. Methods: This study was carried out based on the Kitchenham approach and analyzes 25 research papers extracted from a total of 550 papers. The articles were gathered from ACM, Emerald, ScienceDirect, and Scopus and were published between 2016 and 2021. Results: This study found that the trend of research in the field of gamification in e-commerce continues to grow every year. Also, this study found that the most frequently used gamification elements are achievement-oriented (such as rewards, points, badges, and leaderboards). Meanwhile, immersion-related gamification elements (such as avatars, fantasy, etc.) are emerging as a new trend for new gamification elements to be incorporated in e-commerce. This study also found three major themes, namely consumer loyalty, consumer engagement, and user behavior, as a result of the application of gamification in e-commerce. Conclusion: This study helps to improve knowledge of various gamification elements, trends, and impacts on e-commerce. Future studies need to examine the challenges that may arise in the application of gamification elements to the three major themes found in this study and find potential solutions to overcome them.   Keywords: E-Commerce, Gamification, Gamification trends and applications, Kitchenham, Systematic literature review.  
Sentiment Analysis of Cryptocurrency Trading Platform Service Quality on Playstore Data: A Case of Indodax Kamrozi; Achmad Nizar Hidayanto; Krishna Yudhakusuma P.M.; Muh. Alviazra Virgananda; Ryan Randy Suryono
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.4769

Abstract

Indodax is one of the cryptocurrency trading platforms in Indonesia that has the highest sentiment for the quality they provide, good quality on a platform is an important factor in obtaining user satisfaction and will have an impact on the long-term success of a company. The importance of user satisfaction on cryptocurrency online trading platforms is a significant factor in increasing user loyalty in today's competition. This research was conducted to analyze the quality of existing cryptocurrency trading platform services so that they can be input for cryptocurrency trading service providers to improve the quality of their services, this information can also be considered by prospective platform users in choosing a trading platform that has the best quality of service to minimize losses that may be caused by the platform. In this study, sentiment analysis was used for indodax play store platform users and then processed using the lexicon classification method to produce sentiment analysis for each significant factor of service quality. From the results of the classification carried out in this study, the results of the analysis show that most users are satisfied and give positive sentiments related to security, namely 87.63%, positive sentiments related to the interface design 88.46%, positive sentiments related to service & convenience by 83%, but some users also gave a slightly positive sentiment related to administrative costs, namely 39%, and their negative sentiment was mostly related to the error & failure system, which received more than 80% sentiment. While the recall value is 38.07%, the precision is 56.69% and the f1-score is 45.55%. The results of this study can be concluded that there are still many important points that must be improved in quality by the indodax platform service providers so that they can be more attractive and used by everyone.
BUSINESS INTELLIGENCE MATURITY ASSESSMENT: A CASE STUDY ON AN INDONESIAN AUTOMOTIVE COMPANY Ajie Tri Hutama; Achmad Nizar Hidayanto; Ryan Randy Suryono
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.2443

Abstract

The increasing volume of data, systems that became more complex, and the need for tools to collect, store and process data have driven automotive companies to implement Business Intelligence (BI) system. Successful adoption of BI technology enables organizations to have higher business effectiveness and IT investment. In the organization that newly adopt BI technology, BI Project often failed. In organizations that already implement BI system, also often unable to get full benefits of the system. Maturity assessment is a method for assessing to which maturity level of human resources, organizational processes, and technology is implemented in an organization or company. By conducting it will provide the company with an overview of where the current maturity level is and provides an overview of the roadmap for achieving a higher maturity level where a higher level results in good business effectiveness. Investigate the maturity level of BI system focusing on an Indonesian automotive company and which parameter need to be improved are the objectives of this study. For BI maturity assessment in an Indonesian automotive company, we use the Business Intelligence maturity model (biMM) [1]. The study found that the overall organization’s maturity level to adopt BI system is 3.05 which means company is on the third stage biMM: information integration. Technology maturity is on the lowest point with an average of 2.87 point, Functionality is in the middle with 2.94 point, and Organization have highest point with 3.26 point. The company can improve on SLA Awareness, Data Management, and Data Architecture while retaining the performance of BI Strategy & BI Governance.
ANALISIS KINERJA WEBSITE PELAYANAN PUBLIK MENGGUNAKAN WEBQUAL 4.0 (Studi Kasus : Dinas Penanaman Modal Dan Pelayanan Terpadu Satu Pintu Provinsi Lampung) Reifco Harry Farrizqy; Dyah Ayu Megawaty; Ryan Randy Suryono
Jurnal Teknologi dan Sistem Informasi Vol 4, No 3 (2023): Volume 4 Nomer 3 September 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtsi.v4i3.2985

Abstract

Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Provinsi Lampung merupakan salah satu organisasi perangkat daerah di Provinsi Lampung yang menerapkan sistem pelayanan satu pintu sebagai instansi dinas yang khusus bertugas memberikan pelayanan mengenai perizinan yang langsung bersinggungan kepada masyarakat. Permasalahan yang masih tejadi sekarang ini yaitu kurangnya kesadaran masyarakat dalam menggunakan teknologi dan masih banyak yang belum mampu mengoperasikan aplikasi SiCantik Cloud. Hal ini meyebabkan proses pembuatan perizinan masih berjalan lama. Padahal, dengan adanya aplikasi tersebut akan memudahkan karyawan pemerintahan dalam meng-input data secara tepat dan cepat. tujuan penulisan ini adalah untuk mengetahui pengaruh variabel usability quality (X1), information quality (X2), serta variabel service interaction quality (X3) terhadap kepuasan pengguna website Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Provinsi Lampung. Berdasarkan kegiatan penelitian yang dilakukan, dapat disimpulkan bahwa : Usability quality (X1) berpengaruh positif dan signifikan terhadap user satisfaction (Y), Information quality (X2) berpengaruh positif dan signifikan terhadap user satisfaction (Y), Service Interaction Quality (X3)berpengaruh positif dan signifikan terhadap user satisfaction (Y), Usability quality (X1), Information quality (X2) , Service Interaction Quality (X3)berpengaruh secara bersama – sama (simultan) terhadap user satisfaction (Y).
COMPARISON OF NAÏVE BAYES AND INFORMATION GAIN ALGORITHMS IN CYBERBULLYING SENTIMENT ANALYSIS ON TWITTER Dinda Septia Ningsih; Ryan Randy Suryono
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.1908

Abstract

In the current digital era, cyberbullying is very easy to do because access to various social media platforms is very easy to obtain. Generation Z is a generation born in the era of digital technology advancement, being one of the parties that plays a role in the increasing cases of cyberbullying. The twitter social media platform is one of the platforms that is often used as a place for cyberbullying in Indonesia. With the alarming impact, this research aims to analyze cyberbullying cases on twitter. By comparing Naïve Bayes and Information Gain algorithms, this research will provide accuracy results from tweet data containing cyberbullying content. The dataset used comes from twitter with the time span of collecting the dataset is from January 05, 2024 to January 25, 2024. The dataset is then processed to produce a clean dataset that is ready to be tested using both algorithms. In this study, testing the two algorithms using the K-fold Cross Validation technique resulted in variations in each test. In testing both algorithms, an accuracy level is obtained that indicates how successful the model is in making predictions. In simple terms, this accuracy assesses how effective the model is in predicting cyberbullying sentiment in datasets from Indonesian twitter. Testing the Naïve Bayes algorithm obtained an accuracy of 92.3%. Testing the Information Gain algorithm has an accuracy of 97.8%. From the results obtained, it can be concluded that the Information Gain algorithm gets higher accuracy than the Naïve Bayes algorithm for cyberbullying sentiment analysis on Indonesian twitter.
Combination of Objective Weighting Method using MEREC and A New Additive Ratio Assessment in Coffee Barista Admissions Muhammad Waqas Arshad; Ryan Randy Suryono; Yuri Rahmanto; Sumanto Sumanto; Sanriomi Sintaro; Setiawansyah Setiawansyah
TIN: Terapan Informatika Nusantara Vol 5 No 3 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v5i3.5771

Abstract

A coffee barista is a professional who is skilled in the art of brewing and serving coffee in an attractive and high-quality way. The role of a barista is not only limited to operating an espresso machine and grinding coffee beans, but also includes in-depth knowledge of different types of coffee beans, manufacturing techniques, and the resulting flavors. The main problem in the acceptance of coffee baristas often has to do with the gap between industry expectations and the skills possessed by prospective workers. Many candidates may lack formal training or practical experience in brewing coffee, so they do not meet the standards expected by cafes or restaurants. The purpose of the research on the Combination of Objective Weighting Methods using MEREC and ARAS in Coffee Barista Admission is to develop and apply a more systematic and objective approach in the selection process of prospective baristas. The combination of objective weighting methods and the new additive ratio assessment (ARAS) approach offers a sophisticated framework for evaluating candidates in coffee barista admissions. The objective weighting method ensures that evaluation criteria are prioritized based on their intrinsic importance, thereby minimizing subjective preference. When combined with the ARAS method, which ranks alternatives based on their performance ratio to the ideal solution, this approach provides a balanced and comprehensive assessment for each candidate. Based on the results of the evaluation of the barista admission selection, Clara Dewi ranked first with the highest final score of 0.98553, followed by Hanafi Lestari with a score of 0.95921 and Erika Santosa with a score of 0.95726 who ranked second and third.
Co-Authors ., Bagastian Achmad Nizar Hidayanto Ade Dwi Putra Aditia Yudhistira Agresia, Vania Ahmad Ari Aldino Ajie Tri Hutama Al Afif, Satria Anadas, Sylvi Ananda, Dhea AndaruJaya, Rinaldi Sukma Ansyah, Ferdi Ariany, Fenty Arshad, Muhammad Waqas Bagus Reynaldi, Dimas Bakti, Da'i Rahman Bhatara, Dimas Wahyu Budi Santosa Budi Santosa Budiawan, Aditia Budiman, Ega Christ Mario Cynthia Deborah Nababan Dana Indra Sensuse Dana Indra Sensuse Darmini Darmini DAVID KURNIAWAN Dede Krisna Friansyah Dedi Darwis Desi Fitria Dewantoro, Mahendra Dinda Septia Ningsih Dwi Nanda Agustia Dyah Ayu Megawaty Eko Putro, Dimas Eskiyaturrofikoh, Eskiyaturrofikoh Firdaus, Noval Dinda Firmanda, Fabian Fudholi, Muhammad Fahmi Gunawan, Rakhmat Dedi Handini, Meitry Ayu Hasiholan Simamora, Alfred Heni Sulistiani Hermana, BP Putra Ignatius Adrian Mastan Indra Budi INDRIANI, YULIA Isnain, Auliya Rahman Iwan Purwanto Iwan Purwanto Juarsa, Doris Junita, Elvika Alya Kamrozi Karimah Sofa Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Krishna Yudhakusuma P.M. Laksono, Urip Hadi Megawaty, Dyah Ayu Meliana, Yovi Mesran, Mesran Miranda, Khyntia Muh. Alviazra Virgananda Muhamad Adhytia Wana Putra Rahmadhan Muhammad Fadli Muhammad Ridwan Muhammad Waqas Arshad Mustaqim, Ilham Zharif Natasha Panca Hadi Putra Prasetio, Mugi Pratama, Rangga Rizky Pratiwi, Adelia Purnama, Putri Intan Purwanti, Dian Sri Rachmad Nugroho Rachmi Azanisa Putri Rahmat Dedi Gunawan Raihandika, M Rafi Ramadhani, Bagus Reifco Harry Farrizqy Rias Kumalasari Devi Riyama Ambarwati Sanjaya, Ival Sanriomi Sintaro Saputra, Melian Jefri Saputra, Rizky Herdian Sari, Kevinda Sari, Putri Kumala Sarumpaet, Lisyo Hileria Setiawan, Andra Setiawansyah Setiawansyah Setyani, Tria Simarmata, Yohanes Sobirin, Muhammad Hamdan Sulistiyo, Raka Sumanto, Sumanto Surono, Muhammad Surya Indra Gunawan Tri Widodo Ulum, Faruk Wahyudi, Agung Deni Wang, Junhai Waqas Arshad, Muhammad Yeni Agus Nurhuda Yeni Agus Nurhuda Yuri Rahmanto Yuspita, Emi