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All Journal Litera Bulletin of Electrical Engineering and Informatics Journal of Educational, Health and Community Psychology Empathy : Jurnal Fakultas Psikologi Jurnal Online Mahasiswa (JOM) Bidang Pertanian Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Pembelajaran Fisika Scientific Journal of Informatics Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnas Nasional Teknologi dan Sistem Informasi Equilibrium: Jurnal Pendidikan TRANSISTOR Elektro dan Informatika Jurnal Mirai Management RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Studi Al-Qur'an Conference SENATIK STT Adisutjipto Yogyakarta Lentera: Jurnal Ilmiah Kependidikan JRB-Jurnal Riset Bisnis Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat At-Tadbir : jurnal ilmiah manajemen Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Indonesian Journal of Applied Informatics YUME : Journal of Management Jurnal Sistem Cerdas Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Ilmiah Edunomika (JIE) Jurnal Hospitality dan Pariwisata Budimas : Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat JIM (Jurnal Ilmu Manajemen) Innovation in Research of Informatics (INNOVATICS) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Community Empowerment Jurnal Mandala Pengabdian Masyarakat Journal of Applied Data Sciences DEDIKASI PKM Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Ilmiah Wahana Pendidikan English Education and Literature Journal (E-jou) Journal of Social and Policy Issues Unram Journal of Community Service (UJCS) Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Society: Jurnal Pengabdian Masyarakat International Journal Artificial Intelligent and Informatics Journal Competency of Business Yudishtira Journal : Indonesian Journal of Finance and Strategy Inside Jurnal Dinamika Informatika (JDI) JAMBURA: JURNAL ILMIAH MANAJEMEN DAN BISNIS RELEVAN : Jurnal Riset Akuntansi Vortex Journal of Mathematics Instruction, Social Research and Opinion Tropical Plantation Journal LEBAH Journal of Intelligent Software Systems International Journal of Economics and Management Research Indonesian Journal of Applied and Industrial Sciences (ESA) The Es Accounting and Finance J-Icon : Jurnal Komputer dan Informatika JURNAL ABDIMAS PLJ Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Guru Indonesia Indonesian Journal of Interdisciplinary Research in Science and Technology (MARCOPOLO) Amal: Jurnal Ekonomi Syariah Global Komunika : Jurnal Ilmu Sosial dan Ilmu Politik JURNAL ILMU SOSIAL DAN ILMU POLITIK, STISIPOL RAJA HAJI BAHASTRA Indonesian Journal of Banking and Financial Technology (FINTECH) Fokus Abdimas Jurnal Pengabdian Siliwangi Dharma: Jurnal Pengabdian Masyarakat TRJ (Tourism Research Journal) Jurnal Ilmiah Pariwisata Journal of Business and Information System International Journal of Economics and Management Research Jurnal Komtika (Komputasi dan Informatika) International Journal of Applied Information Systems and Informatics
Rianto Rianto
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Peran Mediasi Peningkatan Kunjungan dalam Hubungan antara Daya Tarik Ruang Publik Pamulang dan Permintaan Produk Makanan dan Minuman Rianto, Rianto; Pusparani, Pusparani; Herienda, Florensia; Pradhipta, RMW Agie; Hidayat, Candra
Jurnal Ilmiah Pariwisata Vol 31 No 1 (2026): Jurnal Ilmiah Pariwisata
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Pariwisata Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30647/jip.v31i1.2010

Abstract

This study aims to examine the effect of tourist attractions on the increase in visits and demand for food and beverage products at Pamulang Public Space, using path analysis in a quantitative approach. The background of this research is the high potential of Pamulang Public Space as a tourist destination, followed by the increasing demand for local culinary products. The population of the study consists of visitors to Pamulang Public Space, with a sample of 100 respondents selected using an accidental sampling technique. Data was collected through Likert scale-based questionnaires and analyzed using SmartPLS. The results show that tourist attractions have a significant positive effect on increasing visits, which in turn impacts the demand for food and beverage products. The increase in visits acts as a mediator between tourist attractions and culinary product demand. In conclusion, strong tourist attractions can increase the number of visitors and contribute to the increase in demand for food and beverage products. Based on the findings, it is recommended that the Pamulang City Government improve the facilities and accessibility at Pamulang Public Space, that visitors make wise use of the facilities, and that business owners, especially Gen Z entrepreneurs, continue to innovate in offering quality culinary products while utilizing social media for promotion. Keywords: tourist attraction, visit increase, demand for food and beverage products, growth of MSMEs
Efektivitas Pengelolaan Dana Alokasi Khusus (DAK) Terhadap Peningkatan Mutu Satuan Pendidikan Indriyani, Septi; Sarip, Nukman; Anjaswara, Dwi Irfan; Basir, Syarief; Rianto, Rianto; Andayani, Sri
Lentera: Jurnal Ilmiah Kependidikan Vol. 19 No. 1 (2026): Lentera
Publisher : STKIP PGRI Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52217/807g0f21

Abstract

This research examines the effectiveness of the management of Physical and Non-Physical Special Allocation Funds (DAK) and its impact on improving the quality of education in Indonesia across early childhood, basic, and secondary education levels. Using the Systematic Literature Review (SLR) method on literature from 2015–2025 sourced from Google Scholar, this study identifies that DAK has significantly succeeded in reducing educational infrastructure disparities and supporting digital learning transformation. Although the budget absorption rate is predominantly high, management effectiveness at the school level is still hampered by delays in the issuance of Technical Guidelines, complex administrative bureaucracy, the low managerial capacity of financial managers (principals and treasurers), and the weak preventive role of school committees and supervisors. The conclusion of this study emphasizes that the size of the DAK budget must be accompanied by the simplification of reporting regulations, systematic technical guidance, and solid digital integration to ensure transparency, accountability, and a real correlation to the quality of student output.
Improving Online Exam Verification with Class-Weighted and Augmented CNN Models Fanani, Ilham; Rianto, Rianto
Jurnal Teknologi Informasi dan Terapan Vol 11 No 2 (2024): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i2.435

Abstract

The COVID-19 pandemic has shifted interactions to virtual platforms, significantly impacting education, particularly online exams. However, these online exams have vulnerabilities, including exam jockeys. This study proposes a face classification model using a Convolutional Neural Network (CNN) to verify online exam takers. The model uses preprocessing techniques, i.e. normalization, data augmentation, and class weighting, to balance data and enhance generalization utilizing TensorFlow. The results show an overall accuracy of 85%, with a precision of 86.34%, a recall of 84.24%, an F1-score of 85.28% for legal takers, and a precision of 83.65%, recall of 85.81%, and an F1-score of 84.71% for illegal takers. These results indicate the model's balanced performance between legal and illegal classes. By integrating CNN with tailored preprocessing and training strategies, this study addresses gaps in existing authentication methods, offering a robust approach to online exam verification. The proposed model shows a chance for practical applications. However, further optimization through larger datasets and advanced augmentation techniques is recommended to improve its accuracy and adaptability to diverse real-world contexts
H-ASICS: Desain Intrusion Detection System Adaptif Berbasis Hybrid Deep Learning untuk Infrastruktur Kritis Andri Yudha Pratama; Ujianto, Erik IH; Rianto, Rianto
JURNAL FASILKOM Vol. 16 No. 1 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i1.11006

Abstract

The digital transformation of critical infrastructure, particularly Smart Grid and SCADA systems, has exposed new vulnerabilities to complex cyber-attacks such as False Data Injection (FDI), necessitating proactive defense mechanisms that transcend conventional approaches. Through a Systematic Literature Review (SLR) of 51 state-of-the-art studies (2022–2026), this research confirms a paradigm shift from static Deep Learning models toward adaptive, transparent, and decentralized detection ecosystems. Addressing the critical trade-off between high accuracy and operational latency, this study proposes the conceptual framework of H-ASICS (Hybrid Adaptive System for Infrastructure Critical Security). Based on a closed-loop MAPE-K architecture, H-ASICS dynamically selects the most optimal detection algorithms switching between Hybrid CNN-LSTM for complex spatial-temporal patterns and LightGBM for edge computing efficiency. Addressing the critical trade-off between high accuracy and operational latency, this study proposes the conceptual framework of H-ASICS (Hybrid Adaptive System for Infrastructure Critical Security). Based on a closed-loop MAPE-K architecture, H-ASICS dynamically selects the most optimal detection algorithms switching between Hybrid CNN-LSTM for complex spatial-temporal patterns (yielding up to 99.81% detection accuracy) and LightGBM for edge computing efficiency (reducing operational latency to under 10 ms). The superiority of H-ASICS is further reinforced by the integration of Explainable AI (XAI) and blockchain technology to guarantee the transparency of mitigation decisions and the immutability of cyber forensic data. This proposed architecture provides a strategic roadmap for next-generation security systems that are not only accurate and resilient but also highly accountable.
THE INFLUENCE OF FLEXIBLE WORKING ARRANGEMENTS AND WORK TECHNOLOGY ON GENERATION Z PRODUCTIVITY, FACULTY OF ECONOMICS AND BUSINESS, UNIVERSITY OF BANDAR LAMPUNG 2022–2025 Rianto, Rianto; Habiburahman, Habiburahman
JAMBURA: Jurnal Ilmiah Manajemen dan Bisnis Vol 9, No 1 (2026): JIMB - VOLUME 9 NOMOR 1 MEI 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37479/jimb.v9i1.38798

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh flexible working arrangement dan teknologi kerja terhadap produktivitas kerja Generasi Z di Bandar Lampung. Populasi dalam penelitian ini adalah mahasiswa Fakultas Ekonomi dan Bisnis Universitas Bandar Lampung yang berjumlah 761 mahasiswa. Teknik pengambilan sampel menggunakan purposive sampling dengan kriteria mahasiswa semester akhir, sehingga diperoleh sampel sebanyak 88 responden berdasarkan perhitungan rumus Slovin. Pengumpulan data dilakukan melalui kuesioner berbasis Google Form, kemudian data dianalisis menggunakan perangkat lunak SPSS versi 27 dengan metode analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa flexible working arrangement berpengaruh positif dan signifikan terhadap produktivitas kerja mahasiswa Generasi Z, teknologi kerja juga berpengaruh positif dan signifikan terhadap produktivitas kerja, serta flexible working arrangement dan teknologi kerja secara simultan berpengaruh signifikan terhadap produktivitas kerja mahasiswa Generasi Z Universitas Bandar Lampung. Temuan ini mengindikasikan bahwa penerapan fleksibilitas kerja yang didukung oleh teknologi kerja yang memadai mampu menciptakan kondisi kerja yang kondusif, meningkatkan efisiensi, serta mendorong produktivitas kerja mahasiswa Generasi Z.
Auditor Experience and Fraud Detection Capability: Does Gender Still Matter? Evidence from Public Accounting Firms in Indonesia Fujianti, Lailah; Waskito, Meindro; Patriandari, Patriandari; Rianto, Rianto
Dinasti International Journal of Economics, Finance & Accounting Vol. 7 No. 1 (2026): Dinasti International Journal of Economics, Finance & Accounting (March-April 2
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v7i1.6610

Abstract

Financial statement fraud remains a persistent challenge for the auditing profession, especially in developing countries amid governance dynamics. Auditors’ capacity to detect fraud hinges on professional competence, notably audit experience. Yet findings on how auditor gender interacts with experience to influence fraud-detection capability are inconsistent. This study investigates the effect of auditor experience on financial statement fraud detection capability and tests whether this effect differs between male and female auditors. Employing a causal design, we integrate Structural Equation Modeling based on Partial Least Squares (SEM-PLS) with Multi-Group Analysis (MGA) to assess gender differences. Data were collected via questionnaires from 78 auditors employed by accounting firms in Jakarta, Indonesia, using cluster random sampling. Results show that auditor experience exerts a positive and significant impact on fraud detection capability for both genders. This supports the view that experience functions as a professional learning mechanism, strengthening judgment, heightening sensitivity to fraud red flags, and improving fraud-risk assessment quality. However, the MGA-PLS analysis reveals no gender difference in the strength of the experience–fraud detection relationship. The findings imply that established auditing standards, rigorous documentation, and layered supervision may mitigate gender-based disparities in auditing practice, promoting comparable fraud-detection performance across male and female auditors globally.
Analisis Perbandingan Algoritma Decision Tree dengan Random Forest dalam Deteksi Bot DDOS Putra, Kristianto Pratama Dessan; Rianto, Rianto; Ujianto, EIH
IJAI (Indonesian Journal of Applied Informatics) Vol 10, No 1 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v10i1.103161

Abstract

Abstrak : Tingkat penetrasi internet yang semakin meningkat setiap tahunnya juga berpengaruh pada banyaknya peralihan layanan dari konvensional ke platform internet. Peralihan layanan tersebut terbukti membawa dampak baik, seperti meningkatnya volume penjualan produk. Namun, di sisi lain dengan semakin banyaknya peralihan layanan ke platform internet maka semakin banyak pula celah-celah keamanan yang dapat dieksploitasi, salah satunya serangan bot DDos. Oleh karena itu, diperlukan adanya sistem yang mampu mendeteksi serangan bot DDos dan algoritma yang akan dianalisis dalam penelitian ini adalah Decision Tree dan Random Forest. Penelitian ini akan membandingkan kedua algoritma tersebut untuk menentukan algoritma yang paling optimal dalam mendeteksi serangan bot DDos. Penelitian ini menggunakan dua dataset dalam proses implementasi algoritma, yaitu KDD CUP 1999 dan CICIDS 2017. Ruang lingkup dari perbandingan kedua algoritma meliputi tingkat akurasi dan durasi waktu pemrosesan data. Hasil dari penelitian menunjukkan bahwa algoritma Random Forest unggul tipis dalam hal tingkat akurasi dibandingkan dengan Decision Tree, yaitu 0.9998 untuk Random Forest berbanding 0.9997 untuk Decision Tree. Namun, algoritma Decision Tree unggul jauh dalam hal durasi waktu dibandingkan dengan Random Forest, yaitu 20-30 detik untuk Decision Tree berbanding 210-300 detik untuk Random Forest. Hal tersebut dapat terjadi dikarenakan Random Forest memproses lebih banyak pohon kemungkinan dibandingkan Decision Tree.=============================================Abstract : The increasing internet penetration each year also affects the shift of services from conventional methods to internet platforms. This shift has proven to bring positive impacts, such as an increase in product sales volume. However, there are increasingly more security vulnerabilities that can be exploited, such as DDoS bot attacks. Therefore, a system that capable to detect bot DDoS attacks is needed. This study compares these two algorithms (Decision Tree and Random Forest) to determine which is the most optimal for detecting bot DDoS attacks. The scope of the comparison includes accuracy levels and data processing time. The results show that Random Forest slightly outperforms Decision Tree in terms of accuracy, with a score of 0.9998 for Random Forest compared to 0.9997 for Decision Tree. However, Decision Tree is significantly superior in processing time compared to Random Forest (20–30 seconds for Decision Tree versus 210–300 seconds for Random Forest). This occurs because Random Forest processes more trees than Decision Tree. 
Co-Authors AA Sudharmawan, AA Abdullah Abdullah Abdurahman Abdurrahman Abdurrosyid, Moh. Acep Irham Gufroni Aditya Wahana Adriani, Hanni Adrianty, Uchy Mukho Affindo, Edo Afiati, Laksmita Nur Agus Riyadi Aini S, Nanda Tri Al-Mujaddid, Toriq Furqon Alaydrus, Syafika alfi husni, alfi Aliah, Aliah Alman, Fariel Zulfikar Alman, Gabriel Choirul Amanda, Vivi Ameilia Damayanti Amelia Citra Dewi Amrina Rosyada Andri Yudha Pratama Anggara, Afwan Anggraini, Intan Ariesta Anjaswara, Dwi Irfan Apriansyah, Ferryma Arba Aradea Arfa, Desmayeti Ari Kusuma Wardana Arief Bakhtiar Darmawan, Arief Bakhtiar Arief Purwanto Ariyanto M, Ariyanto M Aryapranata, Aryawan Ashari, Anisa Fitri Asrai Maros Atika Aini Nasution Aulia, Triana Zuhrotun Ayu Kadek Ari Noviani, Ni Gusti Bafaqis, Muhammad Haziq Basir, Syarief Bayu Saputro Bermana, Seftiandra Budiman, Surya Fajar Damayanti, Ameilia Dani Gilang Sujana Darmayanti, Yessi Devi Valeriani Dewi, Triana Rosalina Dian Prihardini Wibawa Diva Pari Sangga, Gusti Gede Dwianto, Rahmad Agus Dwiky Qurniawan Dwiniati, Dwiniati Efrinal, Efrinal Elda Nurmalinda Eldianson, Rio Endri Bagus Prastiyo Enggar Novianto Enny Itje Sela Erik Herman Heri Ujianto Erik Iman Heri Ujianto Fallo, Hamidah Fanani, Ilham Fauzi, Ekha Rifki Fidiantoro, Vicky firmansyah maualana sugiartana nursuwars Florensia Herienda Fujianti, Lailah Habibie, Sri Yaumil HABIBURRAHMAN, Habiburrahman Hasdani, Hasdani Heru Prasetyo Hidayat, Candra Hidayat, Nanang Al Husni Mubarok Hutagalung, Husen Idum Satia Santi Indriyani, Septi Ismiati, Windi Ismiati Istianingsih, Nanik Istifaedah, Inggit Nurul Ivan Yulivan Joko Santoso Juang Bertorio, Margala Judijanto, Loso Juniarsih, Delvita Koerunnisa, Koerunnisa Kurniawan, Elan Latifah, Tia M, Ariyanto M. Asyari Syahab Maharani, Mira Mahroza, Jonni Manto, Agus Mardana Yuda, I Wayan Maria Junetha Sihasale Maudiarti, Santi Meliasari, Desi Metzvioleta, Metzvioleta Mhd. Arief Hasan, Mhd. Arief Mira Setiana Mohammad Syaltut Abduh, Mohammad Syaltut Muafi, Khabib Muhammad Fairuzabadi Muhammad, Ariyanto Mujaddid, Toriq Furqon Al Mujiani, Sari Mujiani, Sari Mujiani Mulyaningsih, Indrya Myrza Rahmanita Na, Quan Nanik Istianingsih Nasution, Deivy Zulyanti Nengsih, Neng Suryanti Nilansari , Anis Febri Nilansari, Anis Febri Niluh Puspita Dewi, Niluh Puspita Nina Kusumayanti, Ni Luh Nofiyanti, Fifi Novita, Safitri Dwi Nur Widiyasono, Nur Nurasih, Zahra Nurcahya, Gugum Gumilang Nuryanto , Tato Octarina, Dian Oktafiani, Rian Patiandari, Patiandari Patriandari, Patriandari Poiran Poiran Poiran, Poiran Pradhipta, RMW Agie Pradhipta, RMW. Agie Prakoso, Lukman Yudho Pramesti, Nadia Prastiyo, Endri Bagus Pusparani, Pusparani Putra, Kristianto Pratama Dessan Putra, Yudha Permadya Putri, Puji Handayani R.M.W. Agie Pradhipta Rachman, Arief Faizal Raditya Witamo, I Made Rahayu, Nurti Ramadhan, Muhammad Ilham Rasilah, Rasilah Raswen Efendi Rendy Rendy Riandy, Denis Victor Rima Aksen Cahdriyana Rina Sari Qurniawati, Rina Sari Rini Idayanti Riny, Riny Riska Ayu, Agustina Rizkiyah, Solehatur Rizkya, Adilia Tri Rusliyana, Rusliyana Ruswati, Ruswati Santika, Yollandaru Yoga Sarip, Nukman Savitri Hendradewi Setia Wardani Setiadi, Muhammad Ikmal Setiawan, Nicko Kurnia Setiawan, Retno Agus Soemantri, Asep Iwa Soffi Widyanesti Priwantoro, Soffi Widyanesti Sri Andayani Sri Patmi, Sri Subudiani, Ni Komang Sudarmanto, Eko Suherry Suherry, Suherry Sundring Pantja Djati survival survival Susriyant, Susriyant Susriyanti, Susriyanti Swuanderi, Ketut Syafrudin, Teguh Syariful Fahmi, Syariful Syihabuddin Syihabuddin Tato Nuryanto, Tato Tri Auri Yanti Tri Untoro, Iwan Hartadi Tulus Haryono, Tulus Ujianto, EIH Ujianto, Erik IH Utami, Wahyu Sri Vismania S. Damaianti, Vismania S. Viyanti Viyanti Waskito, Meindro Wawang Anwarudin Wayan Sudarsana Wibawa wibawa Wicaksono, Aditya Rangga Wifasari, Septi Yanuar Surya Putra Yasini, Ketut Young Soo, Kim Yudan Hermawan Zai, Supriyaman Zalfiatr, Yelmirai Zulkifli Zulkifli Zuzzaifa, Nur