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All Journal Jurnal Sistem dan Informatika Format : Jurnal Imiah Teknik Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Komputasi dan Teknologi Informasi @is The Best [Accounting Information System & Information Technology Business Enterprise] bit-Tech JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Teknologi dan Bisnis Jurnal Janitra Informatika dan Sistem Informasi Jurnal AbdiMU Jurnal Pengabdian Kepada Masyarakat Babakti Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan Green Engineering: Journal of Engineering and Applied Science Big Data Analytics and Data Science Jurnal Nasional Komputasi dan Teknologi Informasi

zulkifli, ridwan

Universitas Ma’soem

Author-ID : 1972338

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Physics Public Health Social Sciences Transportation Other

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Success Factors for Implementing Robotic Process Automation (RPA) in Accounting Information Systems within the Trade Sector: a Systematic Literature Review Dony Waluya Firdaus; Ridwan Zulkifli; Muhamad Nawawi; Irawan Afrianto; Estiko Rijanto; Irfan Sumitra
@is The Best : Accounting Information Systems and Information Technology Business Enterprise Vol 10 No 2 (2025): @is The Best : Accounting Information Systems and Information Technology Busines
Publisher : Labkat Press KA FTIK UNIKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/aisthebest.v10i2.18687

Digital transformation requires more operational efficiency in the trade sector, with RPA turning out to be one of the key technologies for modernizing Accounting Information Systems. This paper seeks to identify the adoption patterns and dominant factors determining the success of RPA implementation in finance and accounting functions within the trade sector-a domain which, so far, has been underexplored as compared to the banking sector. By means of a Systematic Literature Review with PRISMA 2020 guidelines, along with the bibliometric analysis of 72 Scopus-indexed articles published between 2020 and 2025, this study maps the evolution in technology adoption. The study portrays that RPA's adoption has moved beyond the automation of mere back-office repetitive tasks, such as reconciliation and data entry, toward the orchestration of end-to-end trade processes spanning procurement and logistics, while integrating with AI for handling unstructured data. The study further finds evidence that successful implementation relies on a maturity path leading from accurate selection of routine and high-volume processes to standardization of data input. The sustainability of RPA advantages is defined by organizational capabilities through CoE and successful change management, while supported by strategic governance through alignment of business objectives with information technology. The result of this study provides a theoretical framework and practical guidance for trading firms in ensuring investments in RPA result in performance metrics and increased compliance.

Analisis dan Desain Sistem Informasi Berbasis Low-Code dalam Konteks Digital Transformation Kampus Aan Ansen Andryadi; Ridwan Zulkifli; Ihsan Surya Jamil; Daffa Arfiyandi; Dzikri Alfaturrohman; Aziz Muhammad Labib; Ahmad Gojali Mansur; ⁠M Fisal Ramdan

Publisher :

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10465

Abstrak - Transformasi digital di lingkungan kampus menuntut kecepatan adaptasi teknologi untuk mendukung proses akademik dan administrasi yang efisien. Penelitian ini bertujuan untuk merancang dan membangun purwarupa Sistem Informasi Kampus (SI-Kampus) yang terintegrasi menggunakan pendekatan Low-Code Development Platform (LCDP). Metode pengembangan yang digunakan adalah Agile Development yang memungkinkan iterasi cepat dan fleksibilitas terhadap perubahan kebutuhan pengguna. Hasil penelitian mencakup analisis alur bisnis, perancangan sistem menggunakan Unified Modeling Language (UML), dan implementasi modul akademik utama. Penerapan Low-Code terbukti mempercepat siklus pengembangan sistem hingga 40% dibandingkan metode konvensional, mendukung percepatan transformasi digital institusi pendidikan tinggi.Kata kunci : Agile; Low-Code Development; Sistem Informasi Kampus; Transformasi Digital; UML; Abstract - Digital transformation in the campus environment demands rapid technological adaptation to support efficient academic and administrative processes. This research aims to design and build an integrated Campus Information System (SI-Kampus) prototype using the Low-Code Development Platform (LCDP) approach. The development method used is Agile Development, which allows for rapid iteration and flexibility to meet changing user needs. The research results include business flow analysis, system design using the Unified Modeling Language (UML), and implementation of key academic modules. The implementation of Low-Code has been proven to accelerate the system development cycle by up to 40% compared to conventional methods, supporting the acceleration of the digital transformation of higher education institutions.Keywords: Agile; Campus Information Systems; Digital Transformation; Low-Code Development; UML;

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10409

Abstrak - Pemodelan risiko akademik mahasiswa serta prediksi kemungkinan kegagalan studi berdasarkan pola perilaku historis merupakan fokus utama institusi pendidikan tinggi. Model prediksi statis seperti Naive Bayes konvensional sering kali gagal menangkap perubahan perilaku mahasiswa sepanjang waktu pada data longitudinal, sehingga menghasilkan anomali prediksi. Penelitian ini, melalui Tinjauan Literatur Sistematis (Systematic Literature Review/SLR), mengkaji pengembangan Dynamic Naive Bayes (DNB) sebagai perluasan Naive Bayes yang memasukkan dimensi temporal dan transisi antar periode (misalnya perubahan status risiko antar semester), serupa dengan prinsip Dynamic Bayesian Networks. DNB diasumsikan mampu meningkatkan akurasi prediksi sebesar 10–15% dibandingkan model statis. Secara metodologis, pengembangan DNB didasarkan pada kerangka filsafat ilmu Thomas Kuhn dan Karl Popper. Mengacu pada paradigma Kuhn, kegagalan Naive Bayes statis dalam menangani data dinamis mencerminkan tahap crisis dan anomaly dalam normal science pemodelan prediktif risiko akademik, yang mendorong scientific revolution melalui adopsi model dinamis seperti DNB. Sementara itu, dari perspektif Rasionalisme Kritis Popper, hipotesis bahwa DNB memberikan prediksi yang lebih akurat harus terus-menerus diuji secara ketat dan terbuka terhadap falsifikasi empiris menggunakan data baru. Integrasi kedua kerangka ini memastikan bahwa pengembangan DNB tidak hanya bersifat teknis, melainkan juga didasari pada pertumbuhan pengetahuan ilmiah yang kritis, rasional, dan berkelanjutan.Kata kunci: pemodelan risiko akademik; dynamic naive bayes; prediksi kegagalan studi; data longitudinal; tinjauan literatur sistematis; filsafat ilmu,;thomas kuhn; karl popper; Abstract - Student academic risk modeling, the study of predicting the likelihood of failure based on historical behavioral patterns, is a major focus for higher education institutions. Although predictive models have been developed, statistical approaches such as standard Naive Bayes often fail to capture changes in student behavior over time, which are characteristic of longitudinal data. This failure, known as anomalies, highlights the need for new models capable of addressing dynamic and temporal aspects, such as Dynamic Naive Bayes (DNB). This study, through a Systematic Literature Review (SLR), examines the development of a DNB capable of processing or accounting for time factors, such as changes in risk status between semesters. Methodologically, DNB is an extension of Naive Bayes by incorporating transition time, similar to Dynamic Bayesian Networks, which is assumed to improve predictive accuracy by 10-15% compared to statistical models. Philosophically, the DNB development model is interpreted through the framework of Thomas Kuhn and Karl Popper. According to Kuhn, the failure of statistical Naive Bayes on dynamic data led to a crisis and anomaly in normal science (the use of standard predictive models), triggering the need for a scientific revolution (the adoption of DNB). Meanwhile, Popper's perspective (Critical Rationalism) demands that DNB predictive hypotheses must always be open to falsification through aggressive testing against new data. This integration ensures that the DNB development model is based on the critical and continuous growth of scientific knowledge.Keywords: Scientific Revolution; Dynamic Naive Bayes (DNB); Student Academic Risk; Longitudinal Data; Naive Bayes; Philosophy of Science;

Model Desain Sistem Informasi Inklusif Berbasis Human Centered Design untuk Mahasiswa Berkebutuhan Khusus Aan Ansen Andryadi; Ridwan Zulkifli; Ratnasari Ratnasari; Indra Indra; Hendra Purnama; Sri Afriliani; Hasna Maulani Mukarom; Awaluna Nurdilan Rahmadhita

Publisher :

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10550

Abstrak - Transformasi digital di perguruan tinggi menawarkan peluang untuk memperluas akses pendidikan, namun sering kali menyisakan hambatan bagi mahasiswa berkebutuhan khusus (MBK) akibat desain sistem informasi yang tidak inklusif. Penelitian ini bertujuan untuk mengembangkan model desain sistem informasi akademik inklusif berbasis Human-Centered Design (HCD) yang mengintegrasikan standar aksesibilitas dan mekanisme kolaboratif antar pemangku kepentingan. Penelitian ini menggunakan pendekatan mixed-methods (kualitatif dan kuantitatif) mengikuti siklus iteratif ISO 9241-210 yang dilaksanakan di tiga perguruan tinggi negeri di Jawa Tengah dan Yogyakarta. Pengumpulan data melibatkan 60 responden yang terdiri dari MBK, dosen, dan staf Unit Layanan Disabilitas (ULD) melalui wawancara mendalam, Focus Group Discussion (FGD), observasi partisipatif, serta survei. Evaluasi teknis dilakukan menggunakan standar WCAG 2.1, sementara evaluasi kegunaan diukur menggunakan System Usability Scale (SUS) dan User Experience Questionnaire (UEQ). Hasil penelitian menunjukkan bahwa penerapan HCD berhasil mengidentifikasi empat kebutuhan utama: aksesibilitas adaptif, navigasi sederhana, integrasi layanan MBK-Dosen-ULD, dan kompatibilitas teknologi bantu. Prototipe yang dikembangkan mampu menurunkan temuan kritis aksesibilitas sebesar lebih dari 60% sesuai standar WCAG 2.1. Secara kuantitatif, terjadi peningkatan signifikan pada skor SUS dari 54,2 (kategori rendah) pada sistem lama menjadi 85 (kategori Excellent) pada prototipe, serta pencapaian kategori Excellent pada dimensi UEQ. Peningkatan kepuasan pengguna tercatat sebesar 40%. Penelitian ini menyimpulkan bahwa model desain berbasis HCD efektif dalam menciptakan ekosistem digital yang ramah disabilitas, mengurangi beban kognitif pengguna, serta memfasilitasi interaksi akademik yang lebih adil dan kolaboratif.Kata Kunci: Aksesibilitas Digital; Human-Centered Design (HCD); Mahasiswa Berkebutuhan Khusus; Pendidikan Tinggi; Sistem Informasi Inklusif; Abstract - Digital transformation in higher education offers opportunities to expand educational access, yet often creates barriers for students with special needs (MBK) due to non-inclusive information system designs. This study aims to develop an inclusive academic information system design model based on Human-Centered Design (HCD) that integrates accessibility standards and collaborative mechanisms among stakeholders. This research employed a mixed-methods approach following the iterative cycle of ISO 9241-210, conducted at three state universities in Central Java and Yogyakarta. Data collection involved 60 respondents comprising MBK, lecturers, and Disability Service Unit (ULD) staff through in-depth interviews, Focus Group Discussions (FGD), participatory observation, and surveys. Technical evaluation was conducted using WCAG 2.1 standards, while usability was measured using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ). The results indicate that HCD implementation successfully identified four key needs: adaptive accessibility, simple navigation, MBK-Lecturer-ULD service integration, and assistive technology compatibility. The developed prototype reduced critical accessibility issues by over 60% according to WCAG 2.1 standards. Quantitatively, there was a significant increase in the SUS score from 54.2 (low category) in the legacy system to 85 (Excellent category) in the prototype, along with achieving an Excellent rating across UEQ dimensions. User satisfaction increased by 40%. This study concludes that the HCD-based design model is effective in creating a disability-friendly digital ecosystem, reducing user cognitive load, and facilitating fairer and more collaborative academic interactions.Keywords: Digital Accessibility; Higher Education; Human-Centered Design (HCD); Inclusive Information Systems Students with Special Needs;

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10375

Abstrask - Transformasi digital menuntut mahasiswa memiliki literasi digital yang tidak hanya mencakup kemampuan teknis, tetapi juga kesadaran etika dan keamanan digital. Penelitian ini bertujuan untuk memetakan tingkat literasi digital mahasiswa serta mengidentifikasi karakteristik klaster menggunakan algoritma K-Means. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap mahasiswa, berdasarkan empat dimensi literasi digital, yaitu digital skills, digital culture, digital ethics, dan digital safety. Hasil analisis K-Means menunjukkan terbentuknya dua klaster utama, yaitu klaster literasi digital matang (Cluster 1) dan klaster literasi digital belum matang (Cluster 2). Cluster 1 memiliki nilai rata-rata literasi digital sebesar 4,57, sedangkan Cluster 2 sebesar 3,88. Dimensi dengan perbedaan paling signifikan antar klaster adalah digital safety (selisih 0,77) dan digital ethics (selisih 0,72). Analisis karakteristik responden menunjukkan bahwa mahasiswa angkatan aktif (2022–2024) lebih banyak berada pada Cluster 1 (hingga 67%), dibandingkan mahasiswa baru (2025) dan mahasiswa over study (2021) yang didominasi Cluster 2. Selain itu, mahasiswa luar Jawa Barat memiliki proporsi literasi digital matang yang lebih tinggi (64%) dibandingkan mahasiswa asal Jawa Barat (51%). Temuan ini menegaskan bahwa literasi digital mahasiswa bersifat dinamis dan kontekstual, sehingga penguatan literasi digital di perguruan tinggi perlu difokuskan pada aspek etika dan keamanan digital secara berkelanjutan.Kata kunci: literasi digital; mahasiswa; K-Means clustering; digital ethics; digital safety; Abstract - Digital transformation demands that students possess digital literacy encompassing not only technical skills but also ethical awareness and digital security. This study aims to map the level of digital literacy of students and identify cluster characteristics using the K-Means algorithm. The study employed a quantitative approach with a student survey method, based on four dimensions of digital literacy: digital skills, digital culture, digital ethics, and digital safety. The results of the K-Means analysis indicate the formation of two main clusters: a mature digital literacy cluster (Cluster 1) and an immature digital literacy cluster (Cluster 2). Cluster 1 has an average digital literacy score of 4.57, while Cluster 2 has an average digital literacy score of 3.88. The dimensions with the most significant differences between clusters are digital safety (difference 0.77) and digital ethics (difference 0.72). An analysis of respondent characteristics shows that active students (2022–2024) are predominantly in Cluster 1 (up to 67%), compared to new students (2025) and overstudy students (2021), who are predominantly in Cluster 2. Furthermore, students from outside West Java have a higher proportion of mature digital literacy (64%) than students from West Java (51%). This finding confirms that student digital literacy is dynamic and contextual, thus strengthening digital literacy in higher education requires a continuous focus on digital ethics and security.Keywords: digital literacy; students; K-Means clustering; digital ethics; digital safety;

Model Tata Kelola Teknologi Informasi Berkelanjutan untuk Pengelolaan Limbah Bisnis Kedai Kopi Dony Waluya Firdaus; Ridwan Zulkifli; Muhamad Nawawi; Agus Nursikuwagus; Yeffry Handoko Putra; Rio Yunanto
FORMAT Vol 15 No 2 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2026.v15.i2.005

Pertumbuhan UMKM coffee shop mendorong adopsi teknologi digital, namun sekaligus meningkatkan tantangan dalam pengelolaan food waste, efisiensi sumber daya, dan keberlanjutan bisnis. Meskipun berbagai teknologi seperti point of sale (POS), inventori digital, analitik data, dan platform food sharing telah banyak digunakan, pemanfaatannya sering kali belum didukung oleh mekanisme tata kelola yang mampu menyelaraskan investasi teknologi dengan tujuan keberlanjutan. Penelitian ini mengembangkan COBIT-Lite Sustainable IT Governance Model for Coffee Shop SMEs (CL-SITG-CS Model), yaitu model tata kelola TI yang disederhanakan dan disesuaikan dengan karakteristik serta keterbatasan sumber daya UMKM. Penelitian menggunakan pendekatan konseptual berbasis sintesis literatur integratif yang mencakup IT Governance, COBIT 2019, digital capability, food waste management, circular economy, dan sustainable performance. Model yang diusulkan terdiri atas enam lapisan, yaitu: (1) COBIT-Lite Governance Direction, (2) SME Digital Governance Enablers, (3) Digital Capability, (4) Food Waste Management, (5) Circular Economy Practices, dan (6) Sustainable SME Performance. Hasil sintesis menunjukkan bahwa adaptasi selektif terhadap objektif COBIT 2019, khususnya domain Evaluate, Direct and Monitor (EDM) untuk tata kelola dan Align, Plan and Organize (APO) untuk pengelolaan sumber daya, data, serta risiko, dapat menjadi fondasi tata kelola TI yang sederhana namun efektif bagi UMKM coffee shop. Model tersebut mampu mendorong pengembangan kapabilitas digital, mengoptimalkan pengurangan food waste, mendukung praktik ekonomi sirkular, serta meningkatkan kinerja keberlanjutan berdasarkan dimensi ekonomi, lingkungan, dan sosial. Secara teoretis, penelitian ini memperluas paradigma IT Governance dari business–IT alignment menuju sustainability-oriented IT Governance, sedangkan secara praktis model CL-SITG-CS menyediakan panduan implementasi tata kelola TI yang sesuai dengan karakteristik UMKM coffee shop.

Pemanfaatan Artificial Intelligence sebagai Strategi Technopreneurship dalam Meningkatkan Daya Saing UMKM Digital Ridwan Zulkifli; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 4 (2026): Agustus, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/b1zaq611

Abstrak - Perkembangan artificial intelligence (AI) memperluas cara pelaku usaha mikro, kecil, dan menengah (UMKM) membangun nilai bisnis, melayani pelanggan, serta mengambil keputusan di pasar digital. Artikel ini bertujuan menganalisis pemanfaatan AI sebagai strategi technopreneurship untuk meningkatkan daya saing UMKM digital melalui pendekatan studi literatur. Hasil kajian menunjukkan bahwa AI dapat memperkuat daya saing melalui analisis pasar, personalisasi pemasaran, layanan pelanggan, efisiensi operasional, dukungan keputusan keuangan, dan inovasi produk. Namun, manfaat AI bergantung pada literasi digital, kualitas data, kesiapan proses bisnis, keamanan informasi, dan pendampingan ekosistem. Artikel ini menegaskan bahwa AI perlu diposisikan sebagai kapabilitas strategis yang diterapkan bertahap, terukur, dan tetap dikendalikan manusia dalam proses pengambilan keputusan bisnis. Kata kunci: artificial intelligence; technopreneurship; UMKM digital; daya saing; transformasi digital; Abstract - The development of artificial intelligence (AI) expands how micro, small, and medium enterprises (MSMEs) create business value, serve customers, and make decisions in digital markets. This article analyzes AI utilization as a technopreneurship strategy to strengthen the competitiveness of digital MSMEs through a literature review approach. The findings show that AI can enhance competitiveness through market analysis, marketing personalization, customer service, operational efficiency, financial decision support, and product innovation. However, AI benefits depend on digital literacy, data quality, business process readiness, information security, and ecosystem support. This article argues that AI should be positioned as a strategic capability that is implemented gradually, measurably, and with continuous human oversight in business decision-making Keywords: artificial intelligence; technopreneurship; digital MSMEs; competitiveness; digital transformation;

Profil Literasi Digital Mahasiswa Berdasarkan Empat Pilar Kominfo Menggunakan Algoritma K-Means Muhamad Nawawi; Ridwan Zulkifli; Dony Waluya Firdaus; Zainal Arifin Hasibuan; Bobi Kurniawan; Sri Supatmi
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 1 (2026): Februari, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.212

Abstrask - Transformasi digital menuntut mahasiswa memiliki literasi digital yang tidak hanya mencakup kemampuan teknis, tetapi juga kesadaran etika dan keamanan digital. Penelitian ini bertujuan untuk memetakan tingkat literasi digital mahasiswa serta mengidentifikasi karakteristik klaster menggunakan algoritma K-Means. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap mahasiswa, berdasarkan empat dimensi literasi digital, yaitu digital skills, digital culture, digital ethics, dan digital safety. Hasil analisis K-Means menunjukkan terbentuknya dua klaster utama, yaitu klaster literasi digital matang (Cluster 1) dan klaster literasi digital belum matang (Cluster 2). Cluster 1 memiliki nilai rata-rata literasi digital sebesar 4,57, sedangkan Cluster 2 sebesar 3,88. Dimensi dengan perbedaan paling signifikan antar klaster adalah digital safety (selisih 0,77) dan digital ethics (selisih 0,72). Analisis karakteristik responden menunjukkan bahwa mahasiswa angkatan aktif (2022–2024) lebih banyak berada pada Cluster 1 (hingga 67%), dibandingkan mahasiswa baru (2025) dan mahasiswa over study (2021) yang didominasi Cluster 2. Selain itu, mahasiswa luar Jawa Barat memiliki proporsi literasi digital matang yang lebih tinggi (64%) dibandingkan mahasiswa asal Jawa Barat (51%). Temuan ini menegaskan bahwa literasi digital mahasiswa bersifat dinamis dan kontekstual, sehingga penguatan literasi digital di perguruan tinggi perlu difokuskan pada aspek etika dan keamanan digital secara berkelanjutan. Kata kunci: literasi digital; mahasiswa; K-Means clustering; digital ethics; digital safety; Abstract - Digital transformation demands that students possess digital literacy encompassing not only technical skills but also ethical awareness and digital security. This study aims to map the level of digital literacy of students and identify cluster characteristics using the K-Means algorithm. The study employed a quantitative approach with a student survey method, based on four dimensions of digital literacy: digital skills, digital culture, digital ethics, and digital safety. The results of the K-Means analysis indicate the formation of two main clusters: a mature digital literacy cluster (Cluster 1) and an immature digital literacy cluster (Cluster 2). Cluster 1 has an average digital literacy score of 4.57, while Cluster 2 has an average digital literacy score of 3.88. The dimensions with the most significant differences between clusters are digital safety (difference 0.77) and digital ethics (difference 0.72). An analysis of respondent characteristics shows that active students (2022–2024) are predominantly in Cluster 1 (up to 67%), compared to new students (2025) and overstudy students (2021), who are predominantly in Cluster 2. Furthermore, students from outside West Java have a higher proportion of mature digital literacy (64%) than students from West Java (51%). This finding confirms that student digital literacy is dynamic and contextual, thus strengthening digital literacy in higher education requires a continuous focus on digital ethics and security. Keywords: digital literacy; students; K-Means clustering; digital ethics; digital safety;

Pengembangan Model Dynamic Naive Bayes untuk Pemodelan Risiko Akademik Mahasiswa: Integrasi Filsafat Ilmu Kuhn dan Popper dalam Analisis Risiko Pendidikan Tinggi Ridwan Zulkifli; Dony Waluya Firdaus; Muhamad Nawawi; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 1 (2026): Februari, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.230

Abstrak - Pemodelan risiko akademik mahasiswa serta prediksi kemungkinan kegagalan studi berdasarkan pola perilaku historis merupakan fokus utama institusi pendidikan tinggi. Model prediksi statis seperti Naive Bayes konvensional sering kali gagal menangkap perubahan perilaku mahasiswa sepanjang waktu pada data longitudinal, sehingga menghasilkan anomali prediksi. Penelitian ini, melalui Tinjauan Literatur Sistematis (Systematic Literature Review/SLR), mengkaji pengembangan Dynamic Naive Bayes (DNB) sebagai perluasan Naive Bayes yang memasukkan dimensi temporal dan transisi antar periode (misalnya perubahan status risiko antar semester), serupa dengan prinsip Dynamic Bayesian Networks. DNB diasumsikan mampu meningkatkan akurasi prediksi sebesar 10–15% dibandingkan model statis. Secara metodologis, pengembangan DNB didasarkan pada kerangka filsafat ilmu Thomas Kuhn dan Karl Popper. Mengacu pada paradigma Kuhn, kegagalan Naive Bayes statis dalam menangani data dinamis mencerminkan tahap crisis dan anomaly dalam normal science pemodelan prediktif risiko akademik, yang mendorong scientific revolution melalui adopsi model dinamis seperti DNB. Sementara itu, dari perspektif Rasionalisme Kritis Popper, hipotesis bahwa DNB memberikan prediksi yang lebih akurat harus terus-menerus diuji secara ketat dan terbuka terhadap falsifikasi empiris menggunakan data baru. Integrasi kedua kerangka ini memastikan bahwa pengembangan DNB tidak hanya bersifat teknis, melainkan juga didasari pada pertumbuhan pengetahuan ilmiah yang kritis, rasional, dan berkelanjutan. Kata kunci: pemodelan risiko akademik; dynamic naive bayes; prediksi kegagalan studi; data longitudinal; tinjauan literatur sistematis; filsafat ilmu,;thomas kuhn; karl popper; Abstract - Student academic risk modeling, the study of predicting the likelihood of failure based on historical behavioral patterns, is a major focus for higher education institutions. Although predictive models have been developed, statistical approaches such as standard Naive Bayes often fail to capture changes in student behavior over time, which are characteristic of longitudinal data. This failure, known as anomalies, highlights the need for new models capable of addressing dynamic and temporal aspects, such as Dynamic Naive Bayes (DNB). This study, through a Systematic Literature Review (SLR), examines the development of a DNB capable of processing or accounting for time factors, such as changes in risk status between semesters. Methodologically, DNB is an extension of Naive Bayes by incorporating transition time, similar to Dynamic Bayesian Networks, which is assumed to improve predictive accuracy by 10-15% compared to statistical models. Philosophically, the DNB development model is interpreted through the framework of Thomas Kuhn and Karl Popper. According to Kuhn, the failure of statistical Naive Bayes on dynamic data led to a crisis and anomaly in normal science (the use of standard predictive models), triggering the need for a scientific revolution (the adoption of DNB). Meanwhile, Popper's perspective (Critical Rationalism) demands that DNB predictive hypotheses must always be open to falsification through aggressive testing against new data. This integration ensures that the DNB development model is based on the critical and continuous growth of scientific knowledge. Keywords: Scientific Revolution; Dynamic Naive Bayes (DNB); Student Academic Risk; Longitudinal Data; Naive Bayes; Philosophy of Science;

Co-Authors Afriliani, Sri Agus Nursikuwagus Ahmad Gojali Mansur Amalia, Saebah Nur Amrullah, Fikri Andriansyah, Rendi Andrias Darmayadi Andryadi, Aan Ansen Anggit Suryopratomo Arachman, Taufik Arya Yasin Arida Murti Martikasari Awaluna Nurdilan Rahmadhita Awan Setiawan Aziz Muhammad Labib Bella Hardiyana Beny Riswanto Bobi Kurniawan, Bobi Daffa Arfiyandi Dzikri Alfaturrohman Eddy Soeryanto Soegoto Estiko Rijanto Fikri, M.Nurul Firdaus, Dony Waluya Ginanjar, Rega Gymnastiar, Prayoga Hanifah, Syahda Lidini Hasna Maulani Mukarom Hendra Purnama Hendra Purnama Ibarahim, Deva Ihsan Surya Jamil Ihsan Surya Jamil Indra Indra Indra Indra Irawan Afrianto Irfan Sumitra Irwan Yulianto Kurnia Sastradipraja, Cecep Lita Lestari Utami Manafi, Ahmad Mansur, Ahmad Gojali Mochammad Hasymi Somaida Mufida, Luthfiah Muhamad Nawawi Mukarom, Hasna Maulani Nawawi, Muhamad Nurahman, Ilmal Yakin Nurfadhilah, Dila Siti Pratama, Frinska Putra Putri, Neng Pita Lestia Rahmandhita, Awaluna Nurdilan Raihansyah, Muhammad Dhafa Ratnasari Ratnasari Ratnasari Ratnasari Rio Yunanto Rohmana, Randi Pajar Septiani, Rohmawati Septianti, Hanifah Siti Nurfadhilah, Dila Sri Afriliani Sri Supatmi Syarifudin, Herry Tri Utomo Wiganarto Usep Mohamad Ishaq Yeffry Handoko Putra Zainal Arifin Hasibuan ⁠M Fisal Ramdan

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