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All Journal JDE (Journal of Developing Economies) International Journal of Humanities Education and Social Sciences Formosa Journal of Science and Technology (FJST) Indonesian Research Journal on Education Jurnal Informatika Polinema (JIP)
Wadjdi, Achmad Farid
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A Mathematical Approach to Optimize Security Crisis Management and Strengthen National Defense in DKI Jakarta Province Anandari, Anatansyah Ayomi; Wadjdi, Achmad Farid; Harsono, Gentio
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 3 No 4 (2024): IJHESS FEBRUARY 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v3i4.726

Abstract

This research aims to apply military mathematical models in decision making for security crisis management in DKI Jakarta Province. This research departs from the urgent need to deal with crime problems and improve regional security. Regression model is used to analyze the relationship between independent variables (Pure Participation Rate, Unemployment, Gini Index, and GRDP) and dependent variable (Criminal Risk). Historical and current data on security, education, employment, income inequality, and the economy were collected for analysis. The results show that Net Enrolment Rate and Unemployment have a negative influence on Criminal Risk, while Gini Index and GRDP have a positive influence. These findings provide a deeper understanding of the factors that contribute to the security crisis in the region. Based on the analysis results, this study concludes that the application of military mathematical models can be an important reference for the government in addressing the crime problem and improving security in DKI Jakarta Province. The proposed recommendations are to improve access to education, reduce the unemployment rate, address income inequality, and strengthen the economic sector. The implementation of integrated policies between government agencies is also considered important to achieve optimal results in overcoming the security crisis.
Predictive Analysis of The National Defense Index (IBN) on National Resilience Using Classification and Regression Trees (CART) Method Qotrunnada, Farah Mufida; Budiyanto, Setiyo; Wadjdi, Achmad Farid
Formosa Journal of Science and Technology Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v4i1.13271

Abstract

IBN (National Defense Index) is an important indicator in measuring public awareness and participation in maintaining the sovereignty and stability of the country. With the increasing complexity of challenges to national resilience, a predictive approach is needed to understand the relationship between IBN and other variables that influence national resilience. The CART method is used to identify patterns and determine significant variables that play a role in strengthening national resilience. Through this model, the study aims to provide deeper insight for the formulation of more effective policies in building strong national resilience. The results of the study were obtained by identifying factors that influence the National Defense Index (IBN). The results of this study are expected to be a consideration for the basis for strategic policies in achieving the great goal of Indonesia Emas 2045 as a strong, sovereign, and sustainable country.
Urban Defense Index for City Branding: A Case Study of Five Cities in Kalimantan Wadjdi, Achmad Farid; Namora , Yan; Rahardjo , Eko; Holdun, Moh Ibnu
Journal of Developing Economies Vol. 8 No. 2 (2023)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jde.v8i2.44061

Abstract

This paper proposes a new model of urban security for city branding in Indonesia, which aims to address the gap in city branding indices lacking safety and security factors. The proposed model, the Urban Defense Index (UDI), measures a region's ability to manage risks and handle security threats in urban areas. The UDI is calculated based on three sub-indices: ThreatsDisruptions- Obstacles- Challenges (TDOC), Posture, and Stability, which use objective and subjective measurements. A case study uses the proposed model to measure five Kalimantan cities' urban defense readiness levels. The study found that Stability, Posture, and TDOC are essential factors in determining the level of urban defense readiness in the cities. Future research can address the limitations of the UDI model proposed in this study and expand the UDI model to include other factors that affect urban security.
Evaluasi Kinerja Enkripsi Algoritma LEA Mode CTR pada NodeMCU8266 Navalino, Vian; Wadjdi, Achmad Farid; Asnar, Yudistira
Jurnal Informatika Polinema Vol. 10 No. 2 (2024): Vol 10 No 2 (2024)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i2.4831

Abstract

Penelitian ini menyajikan pengujian mendalam terhadap Lightweight Encryption Algorithm (LEA) pada mikrokontroler NodeMCU ESP8266. Pertama, penelitian ini mengontekstualisasikan pentingnya IoT di berbagai sektor, menggarisbawahi kebutuhan kritis akan kerahasiaan data yang kuat di tengah meningkatnya tantangan keamanan. Penelitian ini mempelajari ranah lightweight cryptography, yang menekankan perlunya solusi kriptografi yang efisien serta aman pada perangkat dengan sumber daya komputasi yang terbatas. Berfokus pada cipher LEA, penelitian ini mengevaluasi kinerjanya di berbagai ukuran kunci (128, 196, dan 256 bit) dan membandingkan kecepatan enkripsi dan dekripsinya dengan literatur yang ada. Temuan menunjukkan bahwa LEA tidak hanya memberikan pendekatan yang seimbang terhadap keamanan dan efisiensi tetapi juga beradaptasi dengan baik terhadap batasan lingkungan IoT, terutama jika dibandingkan dengan algoritme lain seperti AES-128. Penelitian ini memberikan kontribusi pada bidang keamanan IoT, menawarkan gambaran yang penting dalam implementasi solusi kriptografi di lingkungan yang memiliki keterbatasan sumber daya.
Utilization of Google Colaboratory to Determine the Relationship Between the National Defense Index (IBNU) and the Human Development Index (HDI) in Indonesia in 2023 Rifai, Bachtiar; Poniman, Aris; Gultom, Rudy Agus Gemilang; Wadjdi, Achmad Farid; Rifai, Salsabila Azzahra
Indonesian Research Journal on Education Vol. 4 No. 4 (2024): irje 2024
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v4i4.1546

Abstract

This study uses Random Forest model and statistical analysis to evaluate the relationship between the Index of State Defense (IBNu) and the Human Development Index (HDI) at the provincial level in Indonesia. The data includes the average IBNu, HDI in 2023, the manager's prediction, and data from the Indonesian Democracy Index (IDI) in 2021-2023. The model shows excellent prediction performance with a Mean Squared Error (MSE) of 0.0018 and an R² value of 0.97, indicating that the prediction results are very close to the actual data. The residual plot also shows that the model has no significant bias as the prediction error is evenly distributed around the zero line. Correlation analysis found that HDI has a strong positive correlation with education variables, such as Expected Years of Schooling and Average Years of Schooling, while IBNu is negatively correlated with economic growth, indicating that an increase in IBNu may have the effect of decreasing economic growth. The classification performance of the model was assessed using the confusion matrix, which showed accuracy, precision, recall, and F1 scores of 0.8, indicating the model's ability to distinguish between the various classes well. These results suggest that IBNu policies aimed at improving HDI may not always be effective and that a more comprehensive policy approach is needed. The proposed recommendations include the integration of national defense and human development programs into the school curriculum, balanced budget allocation, innovative programs for the community, support for the balance between security and welfare, and continuous research and evaluation.
Analisis Ulasan Pengguna Aplikasi Layanan Publik Berbasis Pemrosesan Bahasa Alami dan BERTopic Jabar, Jaka Abdul; Gultom, Rudy Agus Gemilang; Wadjdi, Achmad Farid
Indonesian Research Journal on Education Vol. 5 No. 1 (2025): Irje 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v5i1.2162

Abstract

Penelitian ini mengevaluasi ulasan pengguna Polri Super App di Google Play Store untuk mengidentifikasi masalah yang memengaruhi kepuasan pengguna. Dengan menggunakan teknik pemodelan topik berbasis Natural Language Processing (NLP), khususnya BERTopic, kami menganalisis 12.230 ulasan yang dikumpulkan antara Mei 2022 hingga Desember 2024. Hasil penelitian menunjukkan bahwa sebagian besar ulasan memberikan peringkat rendah, dengan lebih dari 50% pengguna memberikan peringkat satu bintang. Tema utama yang teridentifikasi mencakup masalah teknis seperti pembayaran yang kedaluwarsa, aplikasi yang sering tertutup sendiri (force close), waktu muat yang lama, dan kesulitan dalam verifikasi kode OTP. Temuan ini menyoroti perlunya perbaikan mendesak pada aspek fungsional inti aplikasi untuk meningkatkan kepuasan pengguna. Selain itu, penelitian ini menegaskan bahwa ulasan pengguna dapat menjadi sumber wawasan berharga dalam memahami persepsi masyarakat terhadap layanan publik digital, sehingga membantu pengembang meningkatkan kualitas layanan dan mendukung transformasi digital yang lebih efektif di sektor publik.
Co-Authors Anatansyah Ayomi Anandari ARIS PONIMAN Asnar, Yudistira Bachtiar Rifai Gentio Harsono Gultom, Rudy Agus Gemilang Holdun, Moh Ibnu Jabar, Jaka Abdul Namora , Yan Navalino, Vian Qotrunnada, Farah Mufida Rahardjo , Eko Rifai, Salsabila Azzahra Setiyo Budiyanto