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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu dan Teknologi Kelautan Tropis IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika JURNAL SISTEM INFORMASI BISNIS Proceedings of KNASTIK Jurnal Simetris Elkom: Jurnal Elektronika dan Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Faktor Exacta INOVTEK Polbeng - Seri Informatika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) Magisma: Jurnal Ilmiah Ekonomi dan Bisnis JUKANTI (Jurnal Pendidikan Teknologi Informasi) JATI (Jurnal Mahasiswa Teknik Informatika) Journal Sensi: Strategic of Education in Information System Abdimasku : Jurnal Pengabdian Masyarakat INFOKUM Aiti: Jurnal Teknologi Informasi Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknik Informatika (JUTIF) Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Jurnal Dimensi DKV Seni Rupa dan Desain Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Eduvest - Journal of Universal Studies CENDEKIA PENDIDIKAN Jurnal Rekayasa elektrika Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pendidikan Teknologi Informasi (JUKANTI) INTERNAL (Information System Journal) Pendekar: Jurnal Pendidikan Berkarakter Blockchain Frontier Technology (BFRONT) Scientific Journal of Informatics BACA: Jurnal Dokumentasi dan Informasi International Journal of Information Technology and Business JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Danny Manongga
Universitas Kristen Satya Wacana
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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Innovation and Key Benefits of Business Models in Blockchain Companies Aini, Qurotul; Manongga, Danny; Rahardja, Untung; Sembiring, Irwan; Efendy, Rifan
Blockchain Frontier Technology Vol. 2 No. 2 (2023): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v2i2.161

Abstract

Existing business models are changed and disrupted by blockchain technology, which warrants more research. This study tries to describe the phenomena of blockchain technology in relation to business model innovation in the enterprise ecosystem on the basis of that. Blockchain technology has been shown to increase organizational performance empirically. The value system concept is used in this study to explain this phenomena. This study employs a multiple-case study to respond to research questions using abductive reasoning. Overall, the outcomes According to this study, blockchain technology benefits an organization in four different ways: I value capture through higher profitability; (ii) value creation through private partnerships; (iii) value delivery through smart contracts; and (iv) value proposition that drives value by raising the organization's business value through operational improvements. This report also suggests a blockchain ecosystem with various private and consortium organizations. Private ecosystem focused on internal organizational performance enhancement within one corporate enterprise. The consortium ecosystem, on the other hand, is focused on fostering corporate cooperation.
Security Level Significance in DApps Blockchain-Based Document Authentication Aini, Qurotul; Manongga, Danny; Rahardja, Untung; Sembiring, Irwan; Elmanda, Vonda; Faturahman, Adam; Santoso, Nuke Puji Lestari
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 3 (2022): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i3.277

Abstract

In the development of the Industrial revolution 4.0 to improve and modify the world's industry by integrating production lines, and extraordinary results in the field of technology and information marked its emergence. It can be used to enhance document security systems using Blockchain technology. Blockchain Innovation Authentication has attracted great attention in the world of science and capital markets. The persistent problems of the many available digital currencies and the various tricks of early coin offerings also welcome the well-known discussion of emerging innovations in the field of education. The importance of this paper follows the improvement of the blockchain framework to reveal the importance of decentralized applications (dApps) and blockchain on the future value in education. This study uses a descriptive method, which is a research method used to describe problems that occur in the present or ongoing, aiming to describe what happened as it should when the research was conducted. the novelty of cutting-edge dApps and talk about the title of blockchain progress to meet the positive attributes of future dApps. Readers will come to the conclusion of dApp research and know the continuous improvement in blockchain .
The Use of TensorFlow in Analyzing Air Quality Artificial Intelligence Predictions PM2.5 Rahardja, Untung; Aini, Qurotul; Sunarya, Po Abas; Manongga, Danny; Julianingsih, Dwi
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 3 (2022): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i3.282

Abstract

 Artificial intelligence techniques to forecasts based on the Community Multiscale Air Quality (PM2.5) operational model can be known using TensorFlow. TensorFlow was used in this study to assess the scores of the Recurrent Neural Networks (RNN) input variables on the 6-hour forecast for July-October 2022. The relevance scores for the one- and two-day forecasts are represented by the sum of the relevance scores across the target prediction timeframe 2–5 and 4–7 previous time steps. The initial selection of input variables was based on their correlation coefficient with the measured PM2.5 concentration. Still, the order of contribution of the input variables measured by TensorFlow was different from the order of their correlation coefficients, which indicated an inconsistency between the linear and nonlinear variables of the method. It was found that the retraining of the RNN model using a subset of variables with a high relevance score resulted in a predictive ability similar to the initial set of input variables. 
Transformation of Payment in Education Use Bitcoin with Reduced Confirmation Times Henderi; Aini, Qurotul; Manongga, Danny; Sembiring, Irwan; Apriliasari, Dwi
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 1 (2023): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i1.285

Abstract

Significant changes in the financial system are prompted by the growth of the national economy, particularly as a form of payment. The means evolved from barter to things or commodities to metal and paper as the base materials for money before arriving at barter. With such significant changes, there is also a need for a transformation in the world of education in order to welcome technological advancements and one way to survive the changes in the increasingly rapid digital era. As the economic need increases, trade transaction methods shift from traditional to internet-based. One of the necessary international online payment options is bitcoin. For many applications where payments are modest and instantaneous approval is required, Bitcoin is inappropriate because of the high transaction fees and long confirmation periods. As a result, despite the introduction of numerous rival cryptocurrencies to address these problems, the Bitcoin network continues to be the most extensively used payment method. Unquestionably, new finding of this research that effectively address the problems of high transaction costs and transaction verification times are needed if the company is to benefit from its user network. The Lightning Network (LN), which makes use of off-chain bidirectional payment channels between participants, is one of the most recent payment network concepts to be proposed.
Improving performance of air quality monitoring: a qualitative data analysis Manongga, Danny; Rahardja, Untung; Sembiring, Irwan; Aini, Qurotul; Abas Sunarya, Po
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp3793-3807

Abstract

This research aims to improve performance of air quality monitoring and understand the latest relevant technological developments. Employing the Kitchenham systematic literature review (SLR) method, the study examines 436 journal articles and conference proceedings published from 2019 to 2023, sourced from the Web of Science (WoS) and Scopus databases. The analysis was carried out using Leximancer 5.0 and identified research five themes; i) air quality, ii) artificial intelligence (AI), iii) pollution, iv) middleware, and v) smart environment. The results showed that only 48 journals had strict inclusion and exclusion criteria include relevance to the research theme, methodological quality, and contribution to the research field. In addition, this research integrates AI and middleware, which has significantly contributed to improving air quality. These findings can become the basis for the development of air quality monitoring technology that is more sophisticated and responsive to environmental needs. This research contributes to further understanding air quality monitoring technology trends and designing solutions to improve overall air quality.
RESTFul Web Service Untuk Sistem Pencatatan Transaksi Studi Kasus PT. XYZ Penidas Fiodinggo Tanaem; Danny Manongga; Ade Iriani
Jurnal Teknik Informatika dan Sistem Informasi Vol 2 No 1 (2016): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v2i1.603

Abstract

Utilization of current technology is a major influence in both of individuals and organizations, as well as PT. XYZ. Thus the technology is always developed with the aim to meet every requirement for its users. The objectives to be achieved from this research is discusses the RESTful Web Service architecture that uses security by implementing JSON Web Token and use was in the system of recording transactions in PT XYZ. This research resulted in a RESTful Web Service architecture applied in PT. XYZ
Sistem Antrian Online PT. Bank Negara Indonesia TBK Kantor Cabang Parigi Abdi Samuel Mango; Danny Manongga
Jurnal Teknik Informatika dan Sistem Informasi Vol 3 No 2 (2017): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v3i2.668

Abstract

Abstract – Kebutuhan akan kemudahan pelayanan yang di dapatkan oleh Demand for ease of service in getting by the public from the World the Banking, has its own contribution hearts everyday life. Regardless of these advantages, the banking sector is also characterized by shortages arising from the application of the procedures used, especially within the PT. Bank Negara Indonesia TBK Parigi Branch Office is one branch of PT. Bank Negara Indonesia Manado region that wants continue to improve the pattern of banking services. The situation can be seen from the number of stacking of customers queuing for services provided by the Bank. Thus, this study will be focused on the simulation and implementation of Queue System Online at PT. Bank BNI branched office TBK Parigi. The aim of the implementation of this system is to reduce the accumulation of customers that can not be predicted. This study resulted in an online queue system that serves to reduce the number of queues that can not be predicted. Based on the application, there are advantages and disadvantages of such a system.   Keywords— Queues, bank, queuing systems, queuing systems online. 
Pemanfaatan Metode Clustering untuk melihat pola penjualan dan perilaku pembelian konsumen, pada penjualan tiket pesawat PT. Garuda Indonesia, Cabang Batam Rivort Pormes; Daniel H. F. Manongga
Jurnal Teknik Informatika dan Sistem Informasi Vol 3 No 3 (2017): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v3i3.690

Abstract

Analysis of data mining on data sales aims to process data with limited attributes to know information that can be generated from processing of such data. The utilization of Clustering Method are expected to answer the needs of processing the data to figure out the pattern of most purchases and distance of purchases up to the day of departure at the data in two years on PT Garuda Indonesia, Batam Branch. Data Mining Processing aims to process sales data into information or knowledge which plays an important role as one of the solutions in determining the future strategy. The use of the K-means algorithm aims to see algorithm processing capabilities with limited attributes. The purpose of using this method is to obtain the largest purchasing frequency information each month as well as consumer purchasing patterns as reference in establishing business recommendations as well as acquiring knowledge which will be useful for PT Garuda Indonesia, Batam Branch. By considering the existence of business competition of other airline companies, the result is expected to bring feedback as material input for the company in the future.
Penggunaan Algoritma Clustering K-means Untuk Melihat Daerah-Daerah Penyuplai Mahasiswa Di Universitas Kristen Satya Wacana, Salatiga. Rivort Pormes; Daniel H. F. Manongga
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1968

Abstract

The use of k-means algorithm in student supply process is done to see students supply tendency in each region who study at satya wacana christian university (SWCU). This data processing with k-meansis useful for extracting information and knowledge from students data at SWCU. With data mining processing, the stakeholders at SWCU can take strategic steps for the penetration process in regions with potential student supply indication. The use of k-meansalgorithms facilitates the process of data analysis as well as grouping on student data during a 5-year period. The aim of this study is to provide on target strategic picture for regions which potentially have a significant impact on students supply each year.
Pemodelan Pengaruh E-Learning Pada Performa Akademik Mahasiswa Dengan Technology Acceptance Model Dan Analisis Structural Equation Modelling Daniawan, Benny; Wijono, Sutarto; Manongga, Danny; Sembiring, Irwan; Krismiyati, Krismiyati; Wellem, Theophilus
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 3: Juni 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025128229

Abstract

E-learning telah menjadi alat yang penting dalam pendidikan tinggi, memungkinkan perguruan tinggi untuk menyediakan aksesibilitas dan fleksibilitas dalam pengajaran dan pembelajaran. Salah satu platform e-learning yang populer adalah Moodle yang digunakan oleh banyak universitas di indonesia. Namun, penggunaan Moodle di universitas belum banyak diteliti secara mendalam, terutama dalam konteks pengaruh e-learning terhadap indeks prestasi akademik. Oleh karena itu, penelitian ini bertujuan untuk melakukan pengujian e-learning Moodle di lingkungan Universitas Buddhi Dharma yang berlokasi di Tangerang dengan metode Technology Acceptance Model (TAM) menggunakan lima variabel Perceive Usefulness (PU), Perceive Ease of Use (PEOU), Attention Towards Using (ATU), Behaviour Intention to Use (BITU), dan Actual System Using (ASU) ditambah dengan dua variabel lain yaitu Level of Confidence (LC) dan Academic Performance (AP). Seluruh variabel dianalisis menggunakan Structural Equation Modelling (SEM). Hasilnya menunjukkan bahwa persepsi kemudahan penggunaan (PEOU), dan persepsi kebermanfaatan (PU) memiliki pengaruh positif secara signifikan terhadap sikap (ATT) dan niat perilaku pengguna (BITU) serta aktual penggunaan sistem (ASU) dalam Moodle sebagai platform e-learning dengan nilai t-statistik yang melebihi nilai t-tabel dan p-value. Namun dalam hal ini penerimaan teknologi e-learning yang baik tidak mempengaruhi tingkat kepercayaan diri (LC) dan performa akademik pengguna (AP) secara aktual.   Abstract E-learning has become an essential tool in higher education, enabling universities to provide accessibility and flexibility in teaching and learning. One of the popular e-learning platforms is Moodle, which many universities in Indonesia use. However, the use of Moodle at universities has yet to be studied in depth, especially in the context of the influence of e-learning on the academic performance index. Therefore, this research aims to test Moodle e-learning in the Buddhi Dharma University environment located in Tangerang using the Technology Acceptance Model (TAM) method using the five variables Perceive Usefulness (PU), Perceive Ease of Use (PEOU), Attention Towards Using (ATU), Behavioral Intention to Use (BITU), and Actual System Using (ASU) plus two other variables, namely Level of Confidence (LC) and Academic Performance (AP). All variables were analyzed using Structural Equation Modeling (SEM). The results show that perceived ease of use (PEOU) and perceived usefulness (PU) have a significant positive influence on attitudes (ATT) and user behavioral intentions (BITU) as well as actual system use (ASU) in Moodle as an e-learning platform with a value of t -statistics that exceed the t-table value and p-value. However, in this case, a good acceptance of e-learning technology does not affect the Confidence Level (LC) and user Academic Performance (AP).
Co-Authors Abas Sunarya, Po Abdi Samuel Mango Ade Iriani Agni Isador Harsapranata Agung Wibowo Albert Kriestian Novi Adhi Nugraha Andianti, Yohana Antonius Mbay Ndapamuri Anumi, Maria Grassella April Lia Hananto Apriliasari, Dwi Arny Lattu Astriyer J. Nahumury Ayu Sanjaya, Yulia Putri Baihaqi, Kiki Ahmad Bani, Benediktus Budhi Kristianto Budi Santoso Cahyaningtyas, Christian Daniawan, Benny Dendy Kurniawan Destiyani, Gati Devianto, Yudo Dwi Hosanna Bangkalang Efendy, Rifan Eko Nur Hermansyah Eko Sediyono Elfira Umar Elmanda, Vonda Erwianta Gustial Radjah Evangs Mailoa Evi Maria Faturahman, Adam Fauzi Ahmad Muda Filimdity, Elsa K. Frederik Samuel Papilaya Girinzio, Iqbal Desam Gunawan Gunawan Henderi Hendry Hendry, - Henry Adhi Sulistyo Herdin Yohnes Madawara Hindriyanto Dwi Purnomo Huda, Baenil I Ketut Suada Irwan Sembiring Iwan Setiawan Iwan Setyawan Johan Jimmy Carter Tambotoh Joko Siswanto Julianingsih, Dwi Julians, Adhe Ronny Krismiyati Kristoko Dwi Hartomo Lorna Yertas Baisa Lukman Santoso Madawara, Herdin Yohnes Mango, Abdi Samuel Mangoki, Willson Martza Merry Swastikasari Muhamad Yusup Muhammad Ryza Awwali , Sulartopo, Muhammad Ryza Awwali , Nina Setiyawati Panja, Eben Penidas Fiodinggo Tanaem Penidas Fodinggo Tanaem Perdana, Eric Megah Po Abas Sunarya Priatna , Wowon Pudjajana, Andre Maureen Pukada, Michael Alan Hirdi Purnomo, Hendryanto Dwi Qurotul Aini Radius Tanone Rahardja.,M.T.I.,MM, Dr. Ir. Untung Ravensca Matatula Ravensca Matatula Reni Veliyanti Rimes Jopmorestho Malioy Rivort Pormes Rivort Pormes Rivort Pormes, Rivort Ronny Julians, Adhe Saian, Septovan Dwi Suputra Santoso, Joseph Teguh Santoso, Nuke Puji Lestari Selfiana Pandie Sophia Tri Satyawati Sri Yulianto Joko Prasetyo Stefanus Christian Relmasira Suharyadi Sulistyo, Henry Adhi Sutarto Sutarto Sutarto Wijono Swastikasari, Martza Merry Theopillus J. H. Wellem Tri Wahyuningsih Tukino Tukino, Tukino Untung Rahardja Victor Peter Lodewyk Duan Winny purbaratri Wiwien Hadikurniawati Yari Dwikurnaningsih Yerik Afrianto Singgalen Yessica Nataliani