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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Pengabdian West Science
Januponsa Dio Firizqi
Universitas Pradita
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering 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 Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences Other

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COMPARISON BEST VIDEO CONFERENCE FOR LEARNING AND TEACHING ACTIVITIES USING ANALYTIC HIERARHICAL PROCESS Januponsa Dio Firizqi; Saiful Azhari Muhammad; Richardus Eko Indrajit; Nurul Hidayat; Erick Dazki
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.138

Abstract

During the pandemic, almost all industries have been disrupted, including the education industry. To support the sustainability of the education industry, many institutions use various video conferencing platforms. There are six aspects that need to be considered in choosing a video conference platform: Features provided, Ease of use, security level, bandwidth usage, platform stability and the ability to accommodate the number of participants in a conference room. This study shows how to prioritize these aspects in choosing a video conferencing platform carried out by educational institutions in Indonesia. The method used in this research is the Analytical Hierarchical Process (AHP). And the results of this study show the order of aspects in choosing a video conferencing platform for teaching and learning needs.
SELECTION OF PAYMENT METHODS IN ONLINE MARKETS USING ANALYTICAL HIERARCHICAL PROCESS Refgiufi Patria Avrianto; Januponsa Dio Firizqi; Rido Dwi Kurniawan; Richardus Eko Indrajit; Erick Dazki
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.232

Abstract

Transactions through the online market are carried out using various payment transaction methods, both digitally and in cash through the Cash on Delivery (COD) service. Therefore, with various payment methods that exist in the process of buying and selling transactions on the online market, especially in payment transactions in the current digital 4.0 era. Often users feel confused about which payment method to use, because there are quite a lot of payment methods to choose from. This study aims to examine and analyze the choices of online market users in choosing payment methods (Digital Banking, ATM Transfer, Credit Card, E-Wallet, COD) when transacting. The analysis data was obtained by distributing questionnaires to active users of the online market which were then processed and tested using the Analytical Hierarchy Process (AHP) method with the help of the AHP Calculator application. The results of this study indicate that Digital Banking excels with a value percentage of 28.7%, followed by COD 20.7%, E-Wallet 20.4%, ATM Transfer 18.9% and the last is Credit Card 11.2%. In general, the main criteria that are prioritized in the selection of payment methods are trust with a weight value of 28.8% and the most prioritized alternative is using Digital Banking with a value of 28.7%. In addition, it is also known that the AHP method is very suitable for use in the decision-making process with multi-criteria and multi-alternatives, as well as decisions in choosing a payment method, because this method shows the results of a weighting comparison between criteria and alternatives.
IMPLEMENTATION OF GAMIFICATION IN CAPITAL MARKETS COURSE PERBANAS INSTITUTE Januponsa Dio Firizqi; Fangky Antoneus Sorongan; Dwi Atmodjo Wismono Prapto; Richardus Eko Indrajit
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 4 (2022): JUTIF Volume 3, Number 4, August 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.4.457

Abstract

Along with technological developments and the occurrence of a pandemic caused by the Covid-19 Virus, many activities are carried out digitally and remotely. This pandemic causes disruption and constraints in various industries, sections or sectors. Higher education is one of the sectors experiencing disruption during the Covid-19 pandemic, where teaching and learning processes that were previously held face-to-face in the classroom have turned into virtual spaces. This makes lecturers and students have to be ready to adapt and carry out the teaching and learning process by utilizing technology such as Learning Management Systems, Video Conferences, and Campus Academic Systems. Not infrequently the teaching and learning process becomes monotonous, boring and limited in conveying and receiving the material provided. With the development of information technology can produce a concept of teaching and learning with the help of technology which is commonly called Gamification. The concept of Gamification using Mechanics Dynamic Emotional (MDE) Framework adopts elements of the game concept into the teaching and learning process because it has Mechanical, Dynamics, and Emotional aspects so that learning conditions can be created that are more interesting, fun and enjoyable. The MDE framework will be integrated into e-learning using the Research and Development (R&D) method. The R & D method is a method that is able to improve a product or make a product better. The stages in this study were made into 6 steps, namely: problem identification, data collection, analysis, village, trial and implementation, evaluation. And it can be said that by implementing gamification in lectures in the capital market at e-learning Perbanas succeeded in increasing interest, interaction, and learning atmosphere.
Analisis Sentimen Produk Skincare Somethinc Niacinamide di Female Daily dengan Naïve Bayes Classifier WP, Dwi Atmodjo; Firizqi, Januponsa Dio; Amalia, Zalfa Azzah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7571

Abstract

One of the skincare products from Somethinc that is currently hotly discussed is Niacinamide Moisture Beet Serum. On the Female Daily site, people who have used the beauty products they use express their opinions in a review on Female Daily. However, the many thousands of reviews that exist have not been structured, so it is still difficult for the public and potential consumers to understand the essence of opinions on a product and classify them into the appropriate polarity of opinion. This research aims to analyze public sentiment regarding reviews of the Somethinc Niacinamide skincare product in Female Daily using the Naïve Bayes Classifier algorithm. This method was chosen because of its capabilities in probability-based text classification and popularity in sentiment analysis. The study began with collecting review data from the Female Daily site, followed by a text pre-processing process which included case folding, tokenizing, stopwords removal, and stemming. The dataset is then divided into training data (80%) and test data (20%). The Naïve Bayes Classifier algorithm is applied to classify reviews into positive, negative, or neutral categories. The research results show that this model is successful in classifying sentiment with 61% accuracy. The conclusions of this study indicate that although the Naïve Bayes Classifier algorithm is quite effective in classifying the sentiment of skincare product reviews, there is room for improvement, especially in handling meaningful and contextual words. This research provides new insight for brand owners and potential consumers in understanding public opinion regarding the Somethinc Niacinamide skincare product.
Pengembangan Aplikasi Sistem Perpustakaan untuk Meningkatkan Efisiensi Layanan di SMA Tarakanita Citra Raya Dazki, Erick; Firizqi, Januponsa Dio; Panna, Ariya; Abimanyu, Andiani
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 1: April 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i1.2647

Abstract

Digitalization to optimize the performance of the library management system is necessary in efforts to provide fast and accurate information services for students and teachers. This research develops and implements a web-based library application so that the administrative process from searching for books to reporting can take place more efficiently and accurately. The Agile approach is used as a system development method, with iterative stages involving continuous communication and evaluation between the development team and users. Each sprint is focused on developing specific features, such as book search, borrowing, returns, and stock and transaction reporting. Regular feedback is obtained from library staff to make immediate improvements before proceeding to the next stage. The results of system testing using the Blackbox testing method show that all features work according to specifications and user responses are quite positive regarding the intuitive interface. Thus, this digital library application is able to increase service efficiency while minimizing the risk of errors, so that it can be adopted as a reference for similar solutions in various educational institutions.Keywords: Library Digitization; Book Management; Web Based Applications; Service Efficiency AbstrakDigitalisasi untuk mengoptimalkan kinerja sistem manajemen perpustakaan, diperlukan dalam Upaya penyediaan layanan informasi yang cepat dan tepat bagi siswa dan guru. Penelitian ini mengembangkan dan mengimplementasikan aplikasi perpustakaan berbasis web agar proses administrasi mulai dari pencarian buku hingga pelaporan dapat berlangsung lebih efisien dan akurat. Pendekatan Agile digunakan sebagai metode pengembangan sistem, dengan tahapan iteratif yang melibatkan komunikasi dan evaluasi berkelanjutan antara tim pengembang dan pengguna. Setiap sprint difokuskan pada pengembangan fitur spesifik, seperti pencarian buku, peminjaman, pengembalian, serta pelaporan stok dan transaksi. Umpan balik rutin diperoleh dari petugas perpustakaan untuk melakukan perbaikan langsung sebelum melanjutkan ke tahap selanjutnya. Hasil pengujian sistem dengan metode Blackbox testing menunjukkan seluruh fitur berjalan sesuai spesifikasi dan tanggapan pengguna cukup positif terhadap antarmuka yang intuitif. Dengan demikian, aplikasi perpustakaan digital ini mampu meningkatkan efisiensi layanan sekaligus meminimalkan risiko kesalahan, sehingga dapat diadopsi sebagai referensi solusi serupa di berbagai institusi pendidikan. 
ANALYSIS AND PREDICTION OF HEALTH INSURANCE PREMIUM VALUE USING MACHINE LEARNING ALGORITHM Danendra, Danica Recca; Firizqi, Januponsa Dio
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 2 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i2.2775

Abstract

Rising healthcare costs and administrative complexity in the health insurance sector underscore the need for an efficient predictive model to anticipate insurance premium prices. The study explores Machine Learning (ML) techniques to predict the value of health insurance premiums. Also, it aims to provide further insights to stakeholders to create strategies in premium pricing and risk management. This study uses the Kaggle.com datasets and a boosting regression algorithm to compare the accuracy and metric evaluation results in predicting the value of insurance premiums. Feature engineering techniques are applied to improve model performance, reduce over-fitting, and interpret the model to ensure the inclusion of relevant predictors by studying the strengths and limitations of each technique. They overcome this through feature selection, model interpret-ability, scalability, and generalization. Through this comprehensive review, the results of this study aim to provide valuable insights for practitioners, researchers, and policymakers, as well as facilitate informed decision-making in the context of determining the value of health insurance premiums through the use of ML methodologies.
Analisis Serangan Social Engineering melalui Pretexting, Impersonating, dan Phishing pada Pemain Game Mobile Online Dio Firizqi, Januponsa; Putra Setiawan, Valentinus
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 7 (2025): JPTI - Juli 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.873

Abstract

Penelitian ini menganalisis metode serangan rekayasa sosial (social engineering) yang terjadi dalam konteks permainan mobile online, khususnya pada PUBG Mobile dan Mobile Legends. Studi ini bertujuan untuk mengidentifikasi metode serangan seperti pretexting, impersonation, dan phishing, serta faktor-faktor yang mempengaruhi keberhasilannya. Penelitian dilakukan menggunakan metode kuantitatif, melibatkan simulasi serangan melalui platform media sosial, komunitas game, dan komunikasi dalam game. Hasil penelitian menunjukkan bahwa dari 124 responden yang menjadi target serangan, 88 akun berhasil ditembus. Faktor keberhasilan mencakup tekanan sosial, keterbatasan waktu bermain, rendahnya kesadaran pengguna terhadap risiko keamanan, dan daya manipulasi teknik social engineering. Sebaliknya, aktivasi fitur keamanan seperti autentikasi dua faktor (2FA) menjadi hambatan utama bagi keberhasilan serangan. Hasil dari penelitian ini memberikan strategis untuk meningkatkan kesadaran dan perlindungan pengguna, termasuk edukasi keamanan digital, peningkatan fitur keamanan pada platform game, dan kolaborasi dengan komunitas game. Dengan implementasi langkah-langkah ini, risiko serangan social engineering dapat diminimalkan secara signifikan, menciptakan lingkungan game yang lebih aman bagi pemain.
Optimalisasi Komunikasi Komunitas Melalui Pengenalan Fitur AI WhatsApp di RW 04 Rancagong Andrew, Andrew; Clarinda , Marcellina Aurelia; Wiryaatmaja , Christopher Louis; Elizabeth Hiu , Jesslyn Juana; Firizqi, Januponsa Dio; Aprikasari, Manda
Jurnal Pengabdian West Science Vol 4 No 08 (2025): Jurnal Pengabdian West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jpws.v4i08.2456

Abstract

Pengabdian masyarakat ini berfokus pada peningkatan efisiensi komunikasi dan partisipasi warga di RW 04 Desa Rancagong, Legok, Tangerang, yang memiliki karakteristik sosial tertutup dan kurangnya partisipasi dalam kegiatan sosial. Tujuan pengabdian adalah membentuk komunitas WhatsApp dan mensosialisasikan fitur Meta AI untuk memfasilitasi penyebaran informasi yang lebih efektif dan mendorong interaksi antarwarga. Metode yang digunakan meliputi sosialisasi tatap muka kepada masyarakat mengenai Meta AI dan pembentukan grup komunitas WhatsApp. Hasil yang diharapkan adalah terbentuknya platform komunikasi yang terintegrasi, peningkatan partisipasi warga dalam kegiatan sosial, serta pemanfaatan teknologi AI untuk mendukung komunikasi yang lebih dinamis dan terarah di lingkungan RW 04.
A Literature-Based Heat Matrix for Quantifying Inter-Domain Correlations within the ISO/IEC 27002:2013 Framework Dazki, Erick; Indrajit, Richardus Eko; Dio F, Januponsa
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5203

Abstract

The problem of managing information security controls is complex because the domains outlined in standards like ISO/IEC 27002 rarely operate in isolation; they have intricate interdependencies that are often overlooked. This oversight can lead to fragmented security controls, inefficient resource allocation, and weaknesses in overall security governance. To address this issue, this paper proposes a literature-based heat matrix methodology, building on ISO/IEC 27002:2013 while referencing the updated 2022 guidance, NIST SP 800-53 Revision 5, and COBIT 2019. The primary goal is to assign numerical correlation values to the fourteen domains of ISO/IEC 27002:2013, providing a structured approach to visualize and understand their interrelationships. The methodology involves a comprehensive literature review and is complemented by expert validation from experienced practitioners to refine the correlation scores. The result is an illustrative 14x14 matrix that demonstrates how numeric inter-domain correlations can reveal critical overlaps and guide strategic decision-making. A new five-tier correlation scale is introduced to aid interpretation, clarifying whether two domains have very low, low, moderate, high, or very high levels of interdependency. This approach offers a significant impact on the field of informatics and computer science by enabling organizations to move beyond siloed security management. By recognizing these correlations, organizations can allocate resources more effectively, enhance holistic risk management, and strengthen security governance. The heat matrix serves as a practical tool for practitioners and managers to identify domain pairs that require close coordination, ultimately leading to more coherent policy frameworks and a more robust security posture.
IT Governance through Mathematical Modeling: A Quantitative Assessment of Maturity Using Factor Analysis and Structural Equation Modeling Indrajit, Richardus Eko; Dazki, Erick; Kurniawan, Rido Dwi; Dio F, Januponsa
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5201

Abstract

IT Governance (ITG) ensures an organization's technological capabilities align with its business strategy. Although frameworks like COBIT 2019 offer structured guidelines, many assessment techniques rely on qualitative measures, which can compromise objectivity. This paper proposes a novel quantitative approach that integrates Factor Analysis (FA) and Structural Equation Modeling (SEM) to measure IT Governance maturity. By mapping each COBIT 2019 domain—EDM, APO, BAI, DSS, and MEA—onto a latent construct, organizations gain empirical insights into their governance status. Exploratory and confirmatory factor analyses validate these domains, while SEM reveals the magnitude and significance of each domain's impact on overall IT Governance maturity. A real-world example from a financial services company, "FinServEU," demonstrates how this framework can prioritize improvements, enhance regulatory compliance, and promote continuous monitoring. The results highlight that quantitative ITG modeling provides a reliable basis for informed decision-making and optimal resource allocation, bridging the gap between broad qualitative assessments and actionable strategies. This approach is crucial for the field of informatics and computer science, as it offers a robust, reproducible, and objective framework for evaluating a key aspect of digital transformation, ensuring that technological progress is guided by sound, data-driven principles.
Co-Authors Abimanyu, Andiani Amalia, Zalfa Azzah Andrew Andrew, Andrew Aprikasari, Manda Atmodjo, Dwi Clarinda , Marcellina Aurelia Danendra, Danica Recca Dazki, Erick Dwi Atmodjo Wismono Prapto Elizabeth Hiu , Jesslyn Juana Fangky Antoneus Sorongan Harianja, Richad Hidayat, Nurul Kurniawan, Rido Dwi Panna, Ariya Pratama, Arif Putra Setiawan, Valentinus Refgiufi Patria Avrianto Richardus Eko Indrajit Rido Dwi Kurniawan Saiful Azhari Muhammad Subhi Basit, Muhamad Wiryaatmaja , Christopher Louis WP, Dwi Atmodjo