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All Journal Jurnal Informatika dan Teknik Elektro Terapan Pendas : Jurnah Ilmiah Pendidikan Dasar International Journal of Artificial Intelligence INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Jurnal Kewarganegaraan Formosa Journal of Social Sciences (FJSS) Formosa Journal of Science and Technology (FJST) Jurnal TNI Angkatan Udara Politeia : Journal of Public Administration and Political Science and International Relations International Journal of Technology and Education Research International Journal of Education, Vocational and Social Science
Kusuma
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Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Ensemble Stacking Method of Classifying the Stages of Alzheimer's Disease by using MRI Dataset Nagarathna; Kusuma; Huliyappa, Harsha
International Journal of Artificial Intelligence Vol 11 No 2: December 2024
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01102.602

Abstract

Alzheimer's Disease (AD) is a progressive neurological disorder that gradually impairs an individual's memory, reasoning, and ability to perform daily tasks. Early and accurate diagnosis of AD is essential for effective intervention, yet remains challenging due to the complexity of its progression. This study explores the use of an ensemble stacking approach to evaluate the effectiveness of transfer learning techniques in classifying various stages of Alzheimer's disease. Unlike traditional methods that directly analyze raw brain images, this research implements a preprocessing technique using the Markov Random Field method to extract the brain tissues specifically affected by AD. These segmented brain tissues are then utilized to train base models, consisting of three convolutional neural networks (CNNs) with varying configurations. The predictions of these base models are ensembled and further refined through a second-level meta-model to enhance classification accuracy. The proposed ensemble stacking framework was evaluated using an MRI dataset obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI), which contains images categorized into Alzheimer’s disease (AD), Mild Cognitive Impairment (MCI), and Healthy Control (HC) groups. The meta-model demonstrated superior performance, achieving an average accuracy of 97%, along with high precision, recall, and F1 scores. This study highlights the potential of ensemble learning and transfer learning in advancing AD diagnosis, offering a robust and efficient approach for categorizing its various stages based on medical imaging data.
Defense Strategies in Safeguarding Maritime Security in Indonesia's Outermost Small Islands Dao, Yunias; Yusnaldi; Kusuma
Politeia : Journal of Public Administration and Political Science and International Relations Vol. 2 No. 4 (2024): October 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/politeia.v2i4.379

Abstract

The outermost small islands of Indonesia play a critical role in maintaining national sovereignty and maritime security. However, these areas face significant challenges, including resource limitations, non-traditional threats, environmental vulnerabilities, and weak inter-agency coordination, which impede the effectiveness of current defense strategies. This study investigates how Indonesia's defense strategies address maritime security challenges and proposes actionable solutions to enhance their effectiveness. While previous research has broadly examined maritime security, few studies focus specifically on the strategic intricacies of the outermost small islands, highlighting the novelty of this paper. A qualitative research approach is employed, utilizing a systematic literature review to analyze data from scientific journal articles, policy reports, and government documents. The thematic analysis identifies key challenges, current strategies, and opportunities for improvement. The findings reveal that existing strategies—such as strengthening maritime policies, enhancing the capacity of the Indonesian Navy and the Maritime Security Agency (Bakamla), and engaging in maritime diplomacy—are hampered by budgetary constraints, weak inter-agency coordination, and insufficient technological integration. The study recommends enhancing maritime infrastructure, adopting advanced surveillance technologies, empowering local communities, and fostering international collaboration to address transnational threats. This study concludes that an integrated and evidence-based defense strategy is essential to safeguard Indonesia’s maritime borders. The findings underscore the need for policy reforms that adopt a multidimensional approach, reinforcing Indonesia's position as a resilient and sovereign maritime nation.
The Concept of the Archipelagic State in Addressing Maritime Security Threats Yunias Dao; Yusnaldi; Kusuma; Panji Suwarno; Pujo Widodo
Formosa Journal of Social Sciences (FJSS) Vol. 3 No. 4 (2024): December 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjss.v3i4.12109

Abstract

Indonesia, as the world’s largest archipelagic state, faces complex maritime security threats, including piracy, illegal fishing, smuggling, and South China Sea tensions. These threats impact both national sovereignty and the economic and social welfare of coastal communities. Recognized as an archipelagic state under UNCLOS 1982, Indonesia has a strong legal foundation to claim inter-island waters under full sovereign jurisdiction. Using a qualitative approach and literature analysis, this study examines the role of the archipelagic state concept in designing adaptive maritime security policies. Findings indicate that this concept supports enhanced surveillance and law enforcement, although challenges in technology and coordination remain. Recommendations include strengthening technological capacity, inter-agency coordination, and international cooperation to bolster Indonesia’s maritime stability in the Indo-Pacific
Persebaran Wilayah Rentan Terdampak Perubahan Iklim Global di Kabupaten Lombok Tengah Clara Bilqis Florissa; Adi Subiyanto; Christine Sri Marnani; Pujo Widodo; Herlina Juni Risma Saragih; Kusuma
Jurnal Kewarganegaraan Vol 6 No 4 (2022): Desember 2022
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v6i4.4428

Abstract

Abstract This study about distribution of vulnerability area climate change impacts in Central Lombok, Indonesia. The design of research is used descriptive methods and qualitative research types. Spatial planning is closely related to disaster. Indonesia is a region that is very vulnerable to disasters, therefore in the preparation of spatial planning must always refer to the potential dangers or threats that exist in an area. One of the disasters that currently threatens Indonesia is climate change. Climate change is a problem that is faced by all people in the world, including Indonesia. Indonesia is an archipelago state, this situation makes Indonesia very vulnerable to the negative impacts of climate change. Climate change not only impacts the environment, but also has a direct impact on human life. Central Lombok is located on a small island which makes its territory more vulnerable to the impacts of climate change. Keywords: Climate Change, Disaster, Spatial Planning, Impact.
Design and Implementation of an Android-Based Indoor Signal Strength Positioning System Using Multivariate Gaussian Mixture Model with Wi-Fi RSSI Fingerprinting Kusuma; Rakhmawati, Lusia
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 8 No. 2 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v8n2.p84-96

Abstract

Indoor positioning systems (IPS) are crucial where GPS accuracy is limited, but Wi-Fi RSSI-based methods face challenges from signal fluctuations and computational complexity. This research designed and implemented an Android application for indoor signal-strength positioning using a Multivariate Gaussian Mixture Model (MGMM) algorithm based on Wi-Fi RSSI fingerprinting. The system utilized three 2.4 GHz access points to collect Received Signal Strength Indicator (RSSI) data, building a fingerprint database. MGMM was integrated with Maximum Likelihood Estimation (MLE) for parameter estimation and Bayes' Theorem for probabilistic position determination. Testing was conducted in furnished and unfurnished rooms (30 trials per condition). Results showed 90% accuracy (within a 1-meter tolerance radius), a Mean Absolute Error (MAE) of 0.433 meters, and a Root Mean Square Error (RMSE) of 0.796 meters in furnished environments. In unfurnished rooms, the system achieved 100% accuracy (MAE and RMSE = 0 meters). The average system latency was 62 ms, confirming real-time responsiveness. This study demonstrates MGMM’s effectiveness in modeling RSSI distributions and enhancing IPS accuracy. Keywords: Indoor Positioning System, Wi-Fi RSSI-Fingerprint, Multivariate Gaussian Mixture Model, Android Application, Accuracy.
IMPLEMENTASI ELEMEN GAMIFIKASI DALAM DESAIN UI/UX APLIKASI MOBILE E-LEARNING UNIVERSITAS PENDIDIKAN GANESHA MENGGUNAKAN OCTALYSIS FRAMEWORK Kusuma; Pradnyana, I Made Ardwi; Pratiwi, Putu Yudia
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6992

Abstract

Penggunaan Learning Management System (LMS) seperti Moodle telah diadopsi secara luas di perguruan tinggi, namun masih ditemukan berbagai kendala dalam mendukung pembelajaran asinkronus secara efektif. Mahasiswa sering mengalami keterbatasan dalam interaksi, minimnya variasi format materi, serta rendahnya motivasi belajar saat menggunakan e-learning. Penelitian ini bertujuan untuk mengimplementasikan elemen gamifikasi yang lebih variatif menggunakan kerangka kerja Octalysis dalam desain UI/UX aplikasi mobile e-learning Universitas Pendidikan Ganesha, serta mengevaluasi dampaknya terhadap pengalaman pengguna melalui metode Task Scenario dan kuesioner User Engagement Scale Short Form (UES-SF). Metode penelitian yang digunakan meliputi studi literatur, analisis desain eksisting, perancangan prototipe, pengujian jarak jauh, dan analisis data kuantitatif. Hasil pengujian menunjukkan bahwa prototipe memiliki tingkat usability yang tinggi dengan success rate rata-rata 95%, efisiensi penyelesaian tugas sebesar 32,15%, dan waktu penyelesaian rata-rata 14,99 detik per tugas. Tingkat kesalahan pengguna tergolong rendah dengan defective rate rata-rata 2,5%. Evaluasi keterlibatan pengguna melalui UES-SF menunjukkan bahwa faktor estetika dan penghargaan memperoleh skor tertinggi (3,87), sementara faktor kegunaan hanya mencapai skor 1,27. Temuan ini mengindikasikan bahwa desain visual aplikasi telah mampu menarik perhatian pengguna, namun masih diperlukan perbaikan pada aspek fungsionalitas agar keterlibatan pengguna dapat ditingkatkan secara lebih menyeluruh.
Integration of Vocational Education and Multistakeholder Collaboration in West Java Province's Disaster Mitigation Nugraheni, Dwi; Saragih, Herlina Juni Risma; Kusuma
International Journal of Technology and Education Research Vol. 3 No. 04 (2025): October - December, International Journal of Technology and Education Research
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i04.2416

Abstract

West Java Province has a high risk of disasters due to complex geological conditions, population density, and rapid urbanisation. These conditions require a paradigm shift from reactive mitigation strategies to proactive and integrated ones. This study aims to analyse the integration between vocational education in disaster management and multi-stakeholder collaboration as a strategic effort to strengthen the disaster mitigation system in West Java. Using a qualitative-descriptive method through literature review and Focus Group Discussion (FGD) with relevant stakeholders, this study examines the roles and synergies within the Pentahelix model framework. Research findings indicate that vocational education in disaster management, with a practice-based learning approach (learning by doing), plays a strategic role in producing technically competent and adaptive human resources. On the other hand, the Pentahelix collaboration model, which involves the government, academics, the business world, communities, and the media, creates a comprehensive and inclusive mitigation ecosystem. The integration of these two aspects facilitates the transfer of field knowledge, scientific-policy collaboration, and increased collective awareness. This synergy produces an adaptive resilience ecosystem that bridges academic science, field practice, and community empowerment. This study concludes that strengthening cross-sector coordination, expanding the implementation of applied research, directing CSR towards mitigation activities, and optimising the media as an educational channel are key to realising a sustainable and collaborative disaster mitigation model in West Java.
Human Trafficking in Conflict Areas: Social Intelligence Analysis of Indonesian CItizens in Myanmar and Cambodia Afithasari, Devi; Widodo, Pujo; Kusuma; Setiawibawa, Rachmat; Uksan, Arifuddin
International Journal of Education, Vocational and Social Science Vol. 4 No. 04 (2025): September - November, International Journal of Education, Vocational and Socia
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v4i04.2397

Abstract

The increasing trend of human trafficking crimes involving Indonesian citizens (WNI) in Southeast Asia, particularly in Myanmar and Cambodia, reveals an increasingly complex and organized form of transnational crime. Many TPPO operations now occur in conflict zones such as Myawaddy, Myanmar, which has become a hub for global digital crime networks. This articleexamines TPPO as a form of man-made social disaster as defined by Law Number 24 of 2007concerning Disaster Management. The study focuses on analyzing the role of social intelligence in the stages of early detection, early warning, forecasting, and problem solving to en ly preventand address cross-border human trafficking. This research employs a descriptive qualitativeapproach, drawing on secondary data from government documents, international organizationreports, and media coverage between 2020 and 2025. The findings reveal weaknesses inIndonesia’s social intelligence system, including poor early detection mechanisms, the absence of integrated early warning systems, limited predictive capabilities, and a reactive response pattern. Fragmented data, lack of inter-agency coordination, and limited community involvement exacerbate these gaps. Therefore, a more integrated, preventive, and community-based social intelligence system is urgently needed as part of the national strategy to address TPPO as a crossborder threat and a contemporary social disaster.
InaRISK Personal for Disaster Risk Literacy: A Content Analysis of Indonesia's Mobile Education Platform Susilastuti; Maarif, Syamsul; Kusuma; Kurniadi, Anwar
International Journal of Education, Vocational and Social Science Vol. 4 No. 04 (2025): September - November, International Journal of Education, Vocational and Socia
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v4i04.2400

Abstract

Digital innovation reshapes disaster preparedness education, with mobile platforms offering accessible learning opportunities. This study examines InaRISK Personal, Indonesia's government-developed mobile disaster education application, addressing the research gap in evaluating digital disaster preparedness tools in developing countries. Using descriptive qualitative content analysis combined with systematic literature review, we assessed the application against established disaster education frameworks (Petal et al., 2008; Paton & Johnston, 2017). Analysis reveals InaRISK Personal provides localized risk assessments, real-time hazard mapping, and personalized mitigation recommendations across four disaster phases. Despite 399,000 cumulative downloads by December 2024, active monthly users declined 18.85%, indicating critical retention challenges. Key barriers include limited digital literacy in Indonesia's context, weak curriculum integration, and absence of gamification features. This study contributes the first comprehensive content analysis of a government-developed disaster education app in Indonesia's high-risk context, providing empirical evidence of the retention paradox, where initial adoption does not guarantee sustained engagement. Findings suggest enhancing teacher training, embedding platforms within curricula, implementing engagement strategies, and strengthening digital literacy programs are critical for maximizing mobile-based disaster preparedness education effectiveness in disaster-prone developing countries.
The Role of the Indonesian Police in Mitigating the Impact of Man-Made Disasters in Indonesia Wita Agustina; Widana, IDK Kerta; Christine Sri Marnani; Pujo Widodo; Kusuma
Formosa Journal of Science and Technology Vol. 3 No. 6 (2024): June 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i6.9837

Abstract

Indonesia is a country that is vulnerable to various disasters, both natural and man-made. Man-made disasters, which are often caused by negligence or criminal acts such as fires, riots, and terrorism, have a serious impact on the security and welfare of society. This research aims to explore the role of the Indonesian National Police (Polri) in the prevention, mitigation and recovery after man-made disasters in Indonesia. Using national security theory and man-made disaster theory as a frame of reference, this research identifies the steps taken by the National Police to maintain national stability and security in the face of man-made disasters. Polri is involved in intelligence, patrol, counseling, evacuation, law enforcement, and post-disaster community recovery. Through the utilization of advanced technology, specialized training, and collaboration with related agencies, Polri seeks to prevent and mitigate the impact of man-made disasters. The results of this study provide an in-depth insight into the effectiveness of Polri's strategies and actions in dealing with man-made disasters, as well as its contribution to public security and order. The research concludes that Polri has a crucial role to play in protecting the safety and well-being of the community amidst the threat of man-made disasters.
Co-Authors Adityo, Firman Afithasari, Devi Andriyani Azainil Azainil Benny Kurnianto Christine Sri Marnani Clara Bilqis Florissa Dao, Yunias Djoko Herwanto Dwi Nugraheni Ego Widoro Furqon Grace Herlina Juni Risma Saragih Huliyappa, Harsha I Kadek Agus Wira Adnyana I Kadek Bagus Erdi Andika I Made Ardwi Pradnyana Kurniadi, Anwar Kurniawan Laili Lusia Rakhmawati M. Syamsul Maarif Muizuddin Azka Nagarathna Nida Nurhafilah Nugroho Budi Pujo Widodo Pujo Widodo, Pujo Putu Yudia Pratiwi Rachmat Setiawibawa Saragih, Herlina Juni Risma Subiyanto, Adi Sugeng Tri Utomo Susilastuti Suwarno, Panji Tia Dikatama Tsania Uksan, Arifuddin Widana, IDK Kerta Wita Agustina Yunias Dao Yusnaldi