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IMPROVEMENT STRATEGY FOR OPEN GOVERNMENT DATA USING FUZZY AHP: CASE STUDY JAKARTA OPEN DATA Pradipta, Dhea Junestya; Ariani, Septi; Sensuse, Dana Indra; Lusa, Sofian; Prima, Pudy
Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi Vol 11, No 1 (2020): Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan
Publisher : Kementerian Komunikasi dan Informatika R.I.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/mti.v11i1.166

Abstract

Open Government Data (OGD) implementation provides benefits for government performance and public services. Based on the Indonesian government's openness action plan 2018-2020, the importance of monitoring and evaluation of OGD implementation for sustainable development is emphasized. This study aims to prioritize criteria and provide recommendations for OGD evaluations at the Jakarta Open Data. Through the mix method approach, expert interviews have been conducted to test the validity of the criteria which then carried out the distribution of questionnaires to eleven expert respondents from five departments. The data is processed using the fuzzy-Analytic Hierarchy Process (AHP) to determine each weight on twenty criteria in four dimensions. The results of this study indicate that in the short term, OGD internal evaluations in the DKI Jakarta provincial government can be done by assessing eight main priority criteria, namely accuracy, completeness, compliance, understandability, timeliness, openness, functionality, and reliability which are then based on overall criteria. These results are the basis for discussion in the Data Forum and the establishment of Standard Operating Procedure (SOP) to assist and accelerate the process of collecting, processing, verifying and validating data from 51 regional work units. Externally, the Jakarta Open Data team can pay attention to the conditions of citizen engagement in the OGD and the existence of a Memorandum of Understanding (MoU) between relevant ministries or agencies that does not yet have data officers or information and documentation management officers for effective and efficient data processing
Analysis of Factors that Influence the Acceptance of Using Online Retail Applications: A Case Study of XYZ Wholesale and Retail Stores Inayah, Suci -; Sensuse, Dana Indra; Lusa, Sofian
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 1 (2024): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i1.2051

Abstract

E-commerce users in Indonesia continue to increase along with advances in digitalization. This causes a trend to occur where many offline shop entrepreneurs are responding to changes in consumer behavior by creating online shopping applications to maintain the existence of their business to be consistent with time progress. The purpose of this research is to find out what factors affect user acceptance of online retail applications used for online shopping at XYZ stores using the UTAUT2 acceptance model. In line with changes, case studies were conducted on grocery stores and retail stores that carried out digital innovation by creating online retail applications for their consumers. The research was conducted using a mixed method, data was collected through interviews with sources and using a questionnaire spread to 149 research sample consumers. The data processing technique uses PLS-SEM with SmartPLS tools. The research results show that 4 factors influence the use of online retail applications, including hedonic motivation, habit, behavioral intention, and application use. The results of this research can be used as material for management considerations to increase the excellence of the application so that user interest in online shopping using the application at XYZ store increases
Tren Pengumpulan Pengetahuan dan Faktor Keberhasilannya: Tinjauan Pustaka Sistematik Ramadhan, Yudistira; Pratiwi, Maharani Eka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 2 (2024): April 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i2.1314

Abstract

Knowledge management (KM) is a systematic approach that facilitates the development, dissemination, and creation of value from information and knowledge within an organization. Knowledge management is deemed the most valuable asset for many organizations. However, the implementation of a knowledge capturing model is still a challenging task. In this research, a Systematic Literature Review (SLR) methodology is employed to identify and analyze diverse approaches to capturing and utilizing knowledge in various organizational domains. The search process is executed across five databases, namely, Scopus, Science Direct, Emerald Insight, Taylor & Francis Online, and IEEE. The study findings reveal a total of 24 knowledge capture methods employed across diverse organizational contexts and knowledge types. Among these methods, the questionnaire was mentioned in 4 articles, an interview in 2 articles, and an expert interview in two articles. The success factors were classified into 20 types, including common knowledge, organizational capabilities, quality of knowledge, trust and acceptance, leadership capabilities, feedback and learning, performance measurement, reward and recognition, efficiency, knowledge management integration, organizational culture, knowledge managers tools and techniques, effectiveness, motivation, information technology, and knowledge management process, training, knowledge representation, and collaboration. Additionally, the identified trending methods and eight key success factors that influence implementation of various knowledge capture models add a new understanding of the critical elements for success in knowledge capture initiatives. This review, in accordance with PRISMA guidelines, provides a foundation for future research efforts in knowledge acquisition and systematic literature review.
Analysis of Acceptance Factor in Education Technology Industry: Case Study of Aku Pintar Lusa, Sofian; Handoko, Lutvianto Pebri; Nuswantara, Prasetya Gilang
Edcomtech Vol 7, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um039v7i22022p130

Abstract

Abstrak: Penelitian ini di latarbelakangi oleh masih banyaknya salah jurusan yang dialami oleh mahasiswa di Indonesia. Seiring dengan perkembangan teknologi dan karena pandemi COVID-19 yang sedang berlangsung telah mempercepat “New Normal” di bidang pendidikan, kini Edtech telah sampai pada tahap membantu pelajar dalam memilih jurusan sesuai potensi dan minat bakatnya. Guna meningkatkan ketepatan dan kemudahan pelajar dalam mencari jurusan sesuai potensi dan minat bakatnya, maka akan dicari tahu faktor-faktor yang mempengaruhi penerimaan aplikasi EdTech dalam memilih jurusan dengan studi kasus aplikasi Aku Pintar. Namun terdapat berbagai faktor yang belum diketahui mengenai tingkat pencapaian dan penerimaan pengguna Tes Penjurusan pada aplikasi Aku Pintar. Berdasarkan hal tersebut, penelitian ini ingin mengidentifikasi faktor-faktor penerimaan tes penjurusan pada aplikasi Aku Pintar. Penelitian ini menggunakan model keberhasilan informasi yang telah dimodifikasi dengan menambahkan variabel dari rekomendasi penelitian sebelumnya. Pada penelitian ini menggunakan variabel sebagai berikut: kualitas informasi, kualitas sistem, kualitas layanan, kepuasan pengguna, niat menggunakan, dan manfaat bersih. Metode pengumpulan data menggunakan survei online melalui Google Form. Penelitian ini menggunakan metode analisis data dari smartPLS. Hasil analisis menunjukkan bahwa faktor-faktor yang mempengaruhi keberhasilan pelaksanaan tes penjurusan pada aplikasi Aku Pintar adalah kualitas informasi, kualitas layanan, niat menggunakan, kepuasan pengguna dan manfaat bersih. Abstract: This research was motivated by the high number of wrong majors experienced by students in Indonesia. Along with the development of technology and because the ongoing COVID-19 pandemic has accelerated the “New Normal” in the field of education, it has now Edtech reached the stage of helping students in choosing a major according to their potential and talent interests. To improve the accuracy and ease of students finding majors according to their potential and talent interests, we would find out the factors that influence the acceptance of EdTech applications in selecting majors with a case study of the Aku Pintar application. However, there were various unknown factors regarding the level of achievement and acceptance of Majoring Test users in the Aku Pintar application. Based on this, this study wanted to identify the factors of acceptance of the major’s selection test in the Aku Pintar application. This study used the information success model which had been modified by adding variables from previous research recommendations. The variables used are information quality, system quality, service quality, user satisfaction, intention to use, and net benefit. The data collection method used an online survey via Google Forms. This research used a data analysis method from smartPLS. The results of the analysis showed that the factors that influence the success of the implementation of the major selection test in the Aku Pintar application were information quality, service quality, intention to use, user satisfaction, and net benefits.
Knowledge Capture in Agile Organizations: Methods and Strategies for Enhancing Effective and Efficient Process Pratiwi, Maharani Eka; Ramadhan, Yudistira; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1164

Abstract

The competitive landscape of modern organizations relies on efficient knowledge utilization and management, underscoring the crucial role of knowledge capture in effective Knowledge Management (KM). This study explores the relationship between knowledge capture, organizational agility, and employee proficiency within KM, pinpointing critical gaps in understanding the optimal utilization of knowledge capture methods within agile-based setups. By addressing these gaps, the study aims to identify effective knowledge capture methods and propose strategies for their seamless integration into agile organizations. The research investigates five hypotheses, affirming the positive impacts of expert interviews, focus groups, interviews, surveys, and questionnaires on the efficiency and effectiveness of knowledge capture processes in agile contexts. Utilizing a mixed-method approach, this study evaluates qualitative and quantitative data derived from interviews and questionnaires. The results highlight the importance of various knowledge capture methods in augmenting the efficiency and efficacy of the knowledge capture process. Additionally, the study outlines implementation strategies customized for each method's application within agile-based organizations. The objective of this research is to provide practical solutions that narrow the disparity between the potential of knowledge capture and the particular needs of agile setups.
Researchers’ self-archiving behavior towards open-access institutional repositories Prastowo, Rahardito Dio; Saputro, Singgih Dwi; Sensuse, Dana Indra; Lusa, Sofian; Putro, Prasetyo Adi Wibowo; Indriasari, Sofiyanti
Jurnal Kajian Informasi dan Perpustakaan Vol 12, No 2 (2024): Accredited by Ministry of Education, Culture, Research and Technology of the Re
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkip.v12i2.54620

Abstract

The success of open-access repositories depends heavily on researchers’ willingness to disseminate their research through self-archiving. Previous studies indicated that lack of self-archiving was a major obstacle to the success of institutional open-access repositories. This study aimed to identify factors influencing researchers' behavior in self-archiving. The analysis examined the influence of repository performance expectations, effort expectations, social influence, and facilitating conditions on researchers' self-archiving intentions and behavior. The study also explored the moderating role of demographic factors such as gender, age, and experience in the relationship between the analyzed factors and self-archiving intentions and behavior. Furthermore, this study also revealed the direct impact of regulatory awareness and research discipline on self-archiving intentions and behavior. The research findings showed that social influence significantly affected researchers' intentions to self-archive while facilitating conditions had a substantial impact on self-archiving behavior. Additionally, demographic variables, such as gender, age, and experience, were found to moderate the effects of social influence on behavioral intention, while awareness of regulations contributed directly to self-archiving behavior. These findings highlight the importance of strengthening social influence, providing adequate supporting conditions, and implementing supportive policies and regulations to enhance researchers' self-archiving behavior in open-access institutional repositories.
Navigating regulatory sandbox initiatives for innovation diffusion in fintech lending: A systematic review Prastowo, Rahardito Dio; Sensuse, Dana Indra; Lusa, Sofian; Putro, Prasetyo Adi Wibowo
Asian Management and Business Review Volume 4 Issue 2, 2024
Publisher : Master of Management, Department of Management, Faculty of Business and Economics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/AMBR.vol4.iss2.art10

Abstract

The development of digital technology has succeeded in providing alternative financial services with the FinTech lending industry. This industry allows direct connection between lenders and borrowers through a digital platform. FinTech lending has unique characteristics that provide advantages over traditional financial institution services, such as utilizing soft information for credit risk assessment, providing unsecured loans, and using third-party platforms to secure transactions. Indonesian government continues to update the regulatory framework for the FinTech industry including the implementation of regulatory sandbox. This effort aims to ensure that the development of digital financial innovation is beneficial and safe for society. Various jurisdictions have also implemented similar initiatives to address issues in FinTech lending, allowing companies to test their operations under regulatory supervision. This research conducted a systematic review using the PRISMA 2020 methodology to understand issues related to FinTech lending and the initiatives provided by regulatory sandboxes to address the issues. The study identified 10 issues in the FinTech lending sector using the Technology, Organization, and Environment (TOE) framework and 11 initiatives from implementing regulatory sandboxes using the Diffusion of Innovation (DOI) framework. Finally, this study highlights the potential for further research regarding the issues of algorithmic bias and monopolistic practices, as well as the exploration of how regulatory sandboxes can mitigate these issues.
IMPACT OF ORGANIZATIONAL CULTURE ON KNOWLEDGE SHARING IN INDONESIAN SOFTWARE DEVELOPMENT COMMUNITY Indra, Muhammad Nadhirsyah; Anditama, Muhammad Rizky; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Teknoinfo Vol 19, No 1 (2025): January 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v19i1.4376

Abstract

In the dynamic landscape of software development, effective knowledge sharing is vital for fostering collaboration and innovation among development teams. This study examines the intricate dynamics influencing knowledge sharing among software developers within organizational contexts, focusing on the pivotal factors of organizational culture. Key factors such as communication, trust, leadership, reward systems, and organizational structure are investigated to comprehend their impact on knowledge-sharing behavior. The research model posits hypotheses exploring positive relationships between trust, communication, leadership, organizational structure, reward systems, and knowledge sharing. Data was collected through online surveys completed by 62 software developers in Indonesia, and SmartPLS 3 was used for the analysis. Measurement models were employed to evaluate internal consistency reliability, convergent validity, and discriminant validity, while structural models assessed the explanatory potential. Results indicate that the explanatory power of the model is weak, suggesting a need for further exploration. Leadership and reward systems were found to have a positive influence on knowledge sharing, although the impact of organizational structure remains inconclusive. The study emphasizes the critical roles of reward structures and leadership in encouraging knowledge sharing and presents practical implications for companies aiming to enhance their knowledge management practices. These findings highlight the necessity for organizations to foster leadership and implement effective reward systems to promote a culture of knowledge sharing. Furthermore, the study suggests improvements in assessment techniques and calls for a reevaluation of the connection between organizational structure and knowledge sharing. This research contributes to the understanding of how organizational culture impacts knowledge sharing within the software development community in Indonesia, providing valuable insights for both academic researchers and industry practitioners.
Assessing Service Quality in Passport Application Mobile Apps(M-Paspor) and its Influence on User Satisfaction: A Case Study using e-GovQual Yaziji, Warda; Aprilia, Relaci; Sensuse, Dana Indra; Lusa, Sofian; Wibowo, Prasetyo Adi
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3545

Abstract

Technological advances in this era can support public services to serve the public more quickly and responsively. One of the electronic public services used by citizens in Indonesia is the application for a passport. After launching to the public in early 2022, the mobile app M-Paspor is still experiencing some obstacles. This study aims to get recommendations for government consideration based on public experience as users of the M-Paspor application. This study integrates the e-Govqual model initiated by Papadomichelaki & Mentzas and End User Computing Satisfaction by Doll & Tork Zadeh. Six dimensions are used: ease of use, trust, functionality of the interaction environment, reliability, content and appearance of information, and citizen support. With the questionnaire distributed through social media, we analyzed data from 111 respondents. We conducted an analysis using SmartPLS to validate the survey. The result implied that Citizen Support, Functionality of the Interaction Environment, and Reliability significantly influence End User Computing Satisfaction of M-Paspor users
Digital Transformation to Enhance Digital Marketing Strategies for MSME: Case Study PT. XYZ Farhan; Lusa, Sofian; Kunto D.A , Himawan; Mutia Mayanda , Alia
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4331

Abstract

Since digitalization spread ubiquitously in almost all industries, many traditional businesses have also joined the trend, including PT. XYZ. This company is a startup company that sells queue machines and kiosks. Since 2019, PT. XYZ runs its business through Indonesia’s e-commerce such as Tokopedia and Shopee. However, many competitors appear to collect more customers which made PT. XYZ is difficult to compete with the market industry as a newcomer. In this queue machine and kiosk industry, PT. XYZ already has an official certification from Indonesia’s government and PT. XYZ machines were produced and painted by themselves. But, these main values don’t increase sales because of the lack of brand awareness. Therefore, the company needs a digital transformation to enhance its digital marketing strategy. This study objective uses BMC, PESTEL, and SWOT to analyze the as-is model and to-be model of the company so that the analysis will have a digital transformation strategy to increase brand awareness and sales. The results of this research show that digital marketing is needed to replace current marketing methods and carry out initiatives related to human resources, organizational structure, policy, technology, and community.