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Identification of Factors and Models of Knowledge Management Maturity: A Systematic Literature Review Abilowo, Krisanto; Sensuse, Dana Indra
Jambura Journal of Informatics VOL 8, N0 1: APRIL 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jji.v8i1.37862

Abstract

Studies related to the knowledge management maturity (KMM) model in libraries have been successfully identified. However, the model is at risk of bias because, in these studies, the KMM assessment within the organization is based on the total score across all criteria/components/factors. This poses a risk of bias if one of the criteria required at the initial maturity level is not met. Therefore, this study aims to identify KMM factors and models from various sectors to support research on developing a KMM model in the library sector. In identifying KMM factors and models, the researchers will conduct a Systematic Literature Review (SLR). The method used in this SLR is the Kitchenham method. Of the 103 KMM factors, the most widely used in previous studies were in the process category, including organizational culture. Based on the factors that make up the KMM model, it can be seen that, among the 17 KMMs, those used in previous studies had the greatest advantages in the process category, such as the army KM3. In addition, based on the objectives of the KMM model, one model that assesses the maturity level of Knowledge Management (KM) implementation and serves as a guideline for KM implementation is the General KM Maturity Model (GKMMM). Based on the issues and results of the SLR conducted, the researchers plan to develop a knowledge management maturity model for the library sector in the next study.
SYSTEMATIC LITERATURE REVIEW ON ARTIFICIAL INTELLIGENCE IN INDONESIA’S PUBLIC SECTOR: REIMAGINING DIGITAL GOVERNMENT Aprilia Pratiwi; Mahsa Elvina Rahmawyanet; Prasetyo Adi Wibowo Putra; Dana Indra Sensuse
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6842

Abstract

This study conducts a Systematic Literature Review (SLR) to critically examine the application of Artificial Intelligence (AI) in e-government within the Indonesian public sector. Addressing the limited empirical research and fragmented understanding of AI adoption in Indonesia’s digital governance landscape, this review analyzes 22 peer reviewed articles published between 2021 and 2025 from reputable databases including Scopus, IEEE, ACM Digital Library, SpringerLink, and Emerald Insight. The review identifies adaptability and innovation, ethical consideration, collaboration and partnership as the most frequently cited critical success factors. Meanwhile, the top three recurring challenges are lack of awareness, skill & expertise, policy or legal uncertainty, resistance to change. To address these challenges, the study proposes a multi dimensional AI implementation strategy focusing on strengthening digital infrastructure, developing human capital through sustained capacity building, formulating clear and accountable AI governance policies, and fostering inclusive, cross sectoral stakeholder engagement. This study offers novel insights by mapping AI related factors into the Technology,Organization, Environment (TOE) framework and synthesizing practical, context-specific recommendations for Indonesian policymakers seeking to build an adaptive, inclusive, and sustainable AI based e-government ecosystem
Zero Trust Architecture in Law Enforcement Mobile Governance: A Systematic Literature Review Iwan Juniar Simanjutak; Dana Indra Sensuse
Jurnal Indonesia Sosial Sains Vol. 7 No. 5 (2026): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v7i5.2355

Abstract

The expansion of mobile government has changed the operational environment of law enforcement agencies. Officers increasingly access case records, location-based applications, biometric systems, cloud repositories, and digital evidence workflows through mobile and distributed endpoints. These conditions challenge perimeter-based security and raise questions about how Zero Trust Architecture can support secure, accountable, and rights-sensitive mobile governance. This study reviews recent literature to synthesize how Zero Trust Architecture can be positioned within law enforcement mobile governance. A systematic literature review was conducted using a PRISMA-based protocol. The search used Scopus as the primary database and applied English-language, open-access, article, and 2020–2026 filters. From 96 initial records, duplicate removal, title and abstract screening, and full-text eligibility assessment produced 40 included articles. The synthesis shows that the literature is dominated by Zero Trust Architecture migration, dynamic access control, authentication, Internet of Things, edge, and 6G security, while studies directly linking Zero Trust Architecture to police mobile governance remain scarce. Four cross-cutting themes were identified: continuous identity and device verification, context- and risk-aware policy enforcement, evidence and data governance, and organizational readiness. The article proposes a governance-oriented Zero Trust Architecture framework for law enforcement mobile systems that connects technical controls with legal accountability, auditability, and public trust. The review concludes that Zero Trust Architecture should be treated not only as a cybersecurity architecture but also as a policy instrument for strengthening secure mobile public service delivery.
Citizen Role Representation in Digital Government Maturity Models: A Systematic Review Qurrota Ayun Majid; Dana Indra Sensuse
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1548

Abstract

This study investigates how citizen roles are represented and structurally positioned within Digital Government Maturity Models (DGMMs). Using a Systematic Literature Review guided by Kitchenham’s protocol, the review analyzed studies published between 2020 and 2025 across seven major academic databases. From 900 initial records, 14 studies met the inclusion and quality criteria. Through backward tracing, policy reference analysis, and cross-model extraction, these studies produced 77 DGMMs as the final units of analysis. The models were examined using a role-based analytical lens that classifies citizen representation into five levels: None, Limited, Implicit, Explicit, and Strong. The findings show that the Limited category remains dominant, indicating that most DGMMs still position citizens mainly as end-users or service recipients rather than active participants in digital governance processes. However, the increasing presence of Explicit and Strong models reflects a gradual shift toward participatory, collaborative, and citizen-centric digital governance. This study contributes by proposing a typology of citizen role representation that extends prior descriptive mappings into a deeper structural evaluation of how citizen participation, engagement, and co-creation are embedded within digital maturity
Analysis of Public Sentiment Indonesia’s Personal Data Protection Law: A Comparison of SVM and IndoBERT on X Platform Yulia Kurniawati; Ricky Bahari Hamid; Dana Indra Sensuse; Sofian Lusa; Prasetyo Adi Wibowo Putro; Sofiyanti Indriasari
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5415

Abstract

The high number of data misuses, thefts, and leaks led to the enactment of the PDP Law, which regulates the rights and obligations of data owners and electronic system providers. The purpose of this study is to examine the public’s response to the implementation of the law through the X platform, using tweet harvest as a scraping tool, and to evaluate model performance through a comparative approach between SVM and BERT. The feature extraction used in this study is TF-IDF for SVM and BERT with IndoBERT. The accuracy results indicate that BERT is better with an accuracy of 86% compared to SVM with a training and test data ratio of 85:15. This advantage is because BERT can understand linguistic context that SVM cannot. On the other hand, SVM has advantages in computational efficiency and faster processing, making it a suitable choice in situations with limited computational resources. The sentiment analysis result revealed that data protection,  digital footprint and the institution's role were the most frequently discussed topics. Furthermore, periodic or real-time evaluations can be conducted on the public's response to the PDP Law to ensure it remains aligned and relevant to technological developments and societal needs.
Investigating E-Government Adoption: The Intention to Use MyASN Application by Indonesian National Civil Service Agency (NCSA) Silfa Kurnia Aditya; Husna Alfiani; Dana Indra Sensuse; Sofian Lusa; Prasetyo Adi Wibowo Putro; Sofianti Indriasari
Journal of Government and Civil Society Vol 8 No 1 (2024): Journal of Government and Civil Society (April)
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jgcs.v8i1.10890

Abstract

This study investigates the implementation of e-government initiatives in Indonesia, specifically focusing on the MyASN application designed for civil servants. Despite the introduction of MyASN, challenges persist in terms of user acceptance, and its complete utilization among civil servants throughout Indonesia is yet to be achieved. The primary goal of this research is to comprehensively identify the factors influencing the adoption of MyASN among civil servants using Unified Theory of Acceptance and Use of The Technology (UTAUT) conceptual model. The target population is respondents who use the MyASN application. The target population is respondents who use the MyASN application. This research obtained a total of 182 respondents who filled out the questionnaire via Google Forms, which were then analyzed using the Structural Equation Model (SEM) approach with SmartPLS software. The findings highlight that behavioral intention, performance expectation, and social influence are factors influencing users' intention to use the My-ASN application. On the other hand, effort expectancy and facilitating condition don’t affect users' intention and behavior in adopting MyASN. Furthermore, concerning moderating variables, only working experience and voluntariness of use influence user behavior, although their impacts are not very significant. Penelitian ini mengkaji terkait implementasi e-government di Indonesia, khususnya berfokus pada aplikasi MyASN yang dirancang untuk Aparatur Sipil Negara (ASN). Meskipun aplikasi MyASN ini telah disosialisasikan, namun pada implementasinya masih terdapat tantangan dalam penerimaan penggunanya dan pemanfaatannya yang belum maksimal di kalangan ASN di seluruh Indonesia. Tujuan utama dari penelitian ini adalah mengidentifikasi faktor apa saja yang mempengaruhi niat pengguna untuk menggunakan aplikasi MyASN menggunakan metode UTAUT (Unified Theory of Acceptance and Use of The Technology). Target populasi adalah responden yang menggunakan aplikasi MyASN. Penelitian ini memperoleh sebanyak 182 responden yang mengisi kuisioner melalui Google Forms, kemudian dilakukan analisis menggunakan pendekatan SEM (Structural Equation Model) dengan perangkat lunak SmartPLS. Temuan penelitian ini menjelaskan bahwa behavioral intention, performance expectation, dan social influence merupakan faktor yang mempengaruhi niat pengguna dalam menggunakan aplikasi My-ASN. Disisi lain, effort expectancy dan facilitating condition tidak mempengaruhi niat dan perilaku pengguna dalam mengadopsi MyASN. Selain itu, pada moderating varible, hanya working experience dan voluntariness of use yang mempengaruhi perilaku pengguna, meskipun dampaknya tidak terlalu signifikan.
Co-Authors Abdullah, Puja Putri Abilowo, Krisanto ACHMAD FUAD Ade Fitria Lestari Adhitama, Raihansyah Yoga Adi Pratama, Yoga Adi Suryaputra Paramita Aditya, Silfa Kurnia Afifah Nefiratika Agnes Agnes Ahmad Jurnaidi Wahidin Ajie Tri Hutama Akbarsyah Anza, Fikri Akhsan, Rivaldi Rizalul Alfiani, Husna Altino, Iqbal Caraka Alusi, Fahmi Amastini, Fitria Amir, Sopian Andani, Monica Ratna Anditama, Muhammad Rizky Andriansyah, Chandra Ansis, Ronny Aprilia Pratiwi Aprilia, Relaci Apriyana, Yeni Ariani, Septi Arief Ramadhan Arief Ramadhan Arif Wahyudi Ariq Naufal Satria Aryanto Aryanto Assaf Arief Assaf Arief Assaf Arief Assaf Arief, Assaf Astrianty, Rani Aprilia Asykar, Mahmud Ali Ayu Bintang Nurrachma Gunawan Ayu Bintang Nurrachma Gunawan Ayu Bintang Nurrachma Gunawan Aziz, Riva Abdillah Baskoro, Aji Basnur, Prajna Wira Binsar Tampahan Binsar Tampahan Binsar Tampahan Brillianto, Bramanti Budi, Nur Fitriah Ayuning Cahyaningsih, Elin Cakra Wirabuana Damayanti Elisabeth Damayanti Elisabeth Damayanti Elisabeth Darmawan Baginda Napitupulu Darmawan Napitupulu Deden Sumirat Hidayat Deden Sumirat Hidayat Deden Sumirat Hidayat Deden Sumirat Hidayat, Deden Sumirat Desiana Nurul Maftuhah Destriani, Rahma Dewi Sartika Dewi, Yesi Puspita Diaz Saputra Dieny Sukmiati Dieny Sukmiati Dieny Sukmiati Dion Lamilga Sudiono Putra Dwi Handoko Dwi Handoko Dwi Handoko Dwi Handoko Edi Abdurachman Editha Putri, Sabrina Ekawati, Rika El Farisi, Salman Elin Cahyaningsih Elin Cahyaningsih Elisabeth , Damayanti Elisabeth, Damayanti Elkaf Fahrezi Soebianto Putra Erisva Hakiki Purwaningsih Erisva Hakiki Purwaningsih Erisva Hakiki Purwaningsih EVI YULIANTI Evi Yulianti Fachri Munandar Fahmi Alusi Fahmi Alusi Fahmi Alusi Faradillah Faradillah Fathurahman Ma'ruf Hudoarma Fatoumatta Binta Jallow Fauzia Nur, Pita Larasati Ferdian Maulana Akbar Ferry Febrianto Fikri Akbarsyah Anza Firdaus, Aditya Reza Firmansyah Apryadhi Fithri Selva Jumeilah Fitria Amastini Fitria Rahma Sari Fitria Rahma Sari Fitria Rahma Sari Fitriya, Ghina Ford Lumban Gaol Franky Juhar Furqon, Moehammad Arief Galih Reksa Lingga Respati Geni, Lenggo Ghaisani, Amanda Ghina Fitriya Giffari, Rafi Goldie Gunadi Hakim, Mohammad Luqmanul Hamid, Ricky Bahari Hanif Sudira Harjanto Prabowo Harjanto Prabowo Hartanto, Adi Herlambang Permadi Hidayat Akbar Hidayat Akbar Hidayat, Ilatifah Nur Hudoarma, Fathurahman Ma'ruf Husain Husain Husna Alfiani I Made Agus Ana Widiatmika I Made Agus Ana Widiatmika I Made Agus Ana Widiatmika I Nyoman Adi Putra Ignatius Adrian Mastan Iklima Ermis Ismail Imairi Eitiveni Imanuddin, Kamila Alifia Inayah, Suci - Indra, Muhammad Nadhirsyah Indria, Sofi Indriasari , Sofiyanti Indriasari, Sofianti Irmayani, Irni Iwan Juniar Simanjutak Jallow , Fatoumatta Binta Jani Richi R. Siregar Jasir, Khalid Jeffry Adityapriatama Jonathan Sofian Lusa Jonathan Sofian Lusa Jonathan Sofian Lusa Juraida, Erni Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kurniawan, Shabrina Salsabila Larasati, Nurul Aulia Lathiful Alamsyah Lenggo Geni Lia Ellyanti Louis Dwysevrey Ompusunggu Lusa, Sofian Lusa, Sofian Lusi Fajarita M. Mushlih Ridho M. Mushlih Ridho Maharani, Nandhita Zefania Mahsa Elvina Rahmawyanet Marwan Wahyudin Masbudi, Handika Maulana, Miftahul Meilinda Puji Pamungkas Mia Agustina Miftahul Maulana Miftahul Maulana Miftahul Maulana Mirza Triyuna Putra Moehammad Arief Furqon Moehammad Arief Furqon Moh. 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Sapto Hendri Boedi Soesatyo Rabiah Al Adawiyah Rachmawati, Ummi Azizah Rafi Giffari Rahmat Nurcahyo Rahmat Nurcahyo Rahmawyanet, Mahsa Elvina Ramadhan, Yudistira Rani Aprilia Astrianty Rendra Gustriansyah Rian Rahmanda Putra Rias Kumalasari Devi Richi R. Siregar, Jani Ricky Bahari Hamid Ridho, M. Mushlih Ridwan Afandi Ridwan Marbanie Rina Rahmawati, Rina Ringgi Cahyo Dwiputra Rini Muliahati Risma Bayu Putra Risma Bayu Putra Risma Bayu Putra Rivaldi Rizalul Akhsan Rizaldy Septa Amanda Rizaldy Septa Amanda Rizki Kurniawan, Rizki Rizky, Fajar Robby Hermansyah Romlah, Ummu Habibah Ronny Ansis Rudy Sugiharto Iskandar Ryan Randy Suryono S.Pd. M Kes I Ketut Sudiana . Saddam, Muhammad Salman Alfarisi Salman El Farisi Salman El Farisi Saputro, Singgih Dwi Sari, Fitria Rahma Sarika Afrizal Sarika Afrizal Sarika Afrizal, Sarika Sayyidah, Mutia Semlinda Juszandri Bulan Septian Bagus Wibisono Shabrina Salsabila Kurniawan Sigit Hadi Prayoga Sigit Hadi Prayoga Sigit Hadi Prayoga Sihombing , Boy Sandi Kritian Sihombing, Boy Sandi Kristian Silfa Kurnia Aditya Slamet Darmawan Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofianti Indriasari Sofiyanti Indriasari Sofiyanti Indriasari Sofiyanti Indriasari Sri Rosa Anjelia Sudarto, Reska Nugroho Suhaidir, Wiliam Sukmiati, Dieny Sutoyo, Mochammad Arief Hermawan Suwardiman, Suwardiman Suwiyanto, Viktor Syarifah Hanum Tambunan, Ester Marta Tampahan, Binsar Tanjung, Aldiyan Muhammad Tinny D Kaunang Tokuro Matsuo Trimanadi, Raden Triyono, Gandung Tsaqif Alfatan Nugraha Wahab, Iis Hamsir Ayub Wanda Kinasih Warkim Warkim Warkim Warkim, Warkim Wendy Nur Falaq Wendy Nur Falaq Wibowo Putra, Prasetyo Adi Wibowo, Wahyu Setyawan Widiatmika, I Made Agus Ana Wiliam Suhaidir Wiliam Suhaidir Wiliam Suhaidir Wirabuana, Cakra Yasin, Yordan Yaziji, Warda Yolanda Yosephine Zebua Yudho Giri Sucahyo Yudho Giri Sucahyo Yulia Kurniawati Yulianingsih Yulianingsih