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All Journal Inersia : Jurnal Teknik Sipil dan Arsitektur Jurnal Teknologi Informasi dan Ilmu Komputer Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Inovasi Daerah Indonesian Journal of Aerospace
Kuntjoro, Yanif Dwi
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Religion Aerospace Engineering Arts Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Historical Dynamics of Aceh in the Republic of Indonesia Purba, Sampe L.; Yusgiantoro, Purnomo; Kuntjoro, Yanif Dwi; Sudibyo, Rachmat; Saragih, Herlina J.R.
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.3420

Abstract

The Province of Nanggroe Aceh Darussalam, hereinafter referred to as the Province of Aceh since the pre-colonial era until now, has a specific and special relationship dynamics in the course of Indonesian history. In the pre-colonial period, Aceh had a strategic position and got the recognition of the major powers at that time. In the colonial war, there were two groups that played a very important role, namely the nobility (teuku) and the religious elite (teungku). These two groups go hand in hand in the war against the enemy, but there is also friction and competition between them. The Memorandum of Understanding between the Government of Indonesia and the Free Aceh Movement (Helsinki Agreement 2005) was a turning point for peace in Aceh. The important points agreed upon including the reintroduction of the Acehnese Qanun as a respect for the historical traditions and customs of the Acehnese people, and reflected in the contemporary law. Also, the Nanggroe Institution along with all the ceremonial attributes and rights will be established. Along with the conducive security in the Aceh region, it seems that the political attitude of the people in general is no longer too emotionally linked to the historical romance of past glory. The decreasing share of local parties in Aceh's DPRA can be seen as an indication of this. However, some views today see that there are still many things that have not been fulfilled according to the original intent of the Helsinki peace.
Analysis of Peak Ground Acceleration (PGA) and Modified Mercalli Intensity (MMI) Scale using PSHA Method in Lampung Province Yahya, Muhammad Harun; Ashari, Almaida Enggar; Syahbana, Arifan Jaya; Kuntjoro, Yanif Dwi; Luthfin, Ahmad
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 20 No. 2 (2024): December
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v20i2.73063

Abstract

Earthquakes are inevitable natural disasters that are challenging to predict, yet effective mitigation is crucial. Lampung Province, located in Indonesia, faces significant tectonic activity due to the Sumatra Fault System (SFS) and the subduction of the Indo-Australian and Eurasian plates. Its strategic location as the gateway to Sumatra Island further underscores the importance of understanding earthquake hazards in the region. This study analyzes earthquake risks in Lampung Province using a micro-scale approach that integrates Peak Ground Acceleration (PGA) and Modified Mercalli Intensity (MMI) values through the PSHA method. The PSHA method identifies earthquake microzonations and generates PGA values that are then converted to the MMI scale to determine the intensity of earthquake strength. The mapping of Lampung Province identified five zones with different levels of earthquake hazard, ranging from VII to XI MMI with varying PGA values. The first zone, on the VII MMI scale, has a PGA ranging from 0.20 to 0.25g. The second zone, in the VIII MMI scale category with PGA ranging from 0.20 to 0.40g. The third zone, falls within the IX MMI scale category with PGA ranging from 0.40 to 0.70 g. The fourth zone is categorized as X MMI scale with PGA values ranging from 0.70 to 1.00g. The fifth zone, has a scale of XI MMI with a range of PGA values between 1.00 and 2.50 g. Areas with higher PGA and MMI scales indicate a greater potential for severe damage, highlighting the need for targeted mitigation strategies in high-risk zones. These findings provide a foundation for disaster preparedness and urban planning in Lampung Province.
KETAHANAN ENERGI: PEMANFAATAN PEMBANGKIT LISTRIK TENAGA HIBRID (PLTS DAN PLTBg) DI BOYOLALI Indriyani, Yunita; Kuntjoro, Yanif Dwi; Sasongko, Nugroho Adi
Jurnal Inovasi Daerah Vol. 1 No. 1 (2022): Juni
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah (Bapperida) Kabupaten Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jid.v1i1.2

Abstract

Sekitar 256.560 warga atau hampir sepertiga jumlah penduduk Boyolali yang mencapai 1 juta jiwa berprofesi sebagai peternak sapi dengan pembagian pemeliharaan sekitar 62.130 ekor sapi perah dan 88.910 ekor sapi potong. Sebagai kabupaten/kota yang mayoritas penduduknya berprofesi sebagai peternak sapi Boyolali berpotensi dalam menghasilkan bioenergi yaitu biogas dari limbah kotoran ternak terutama sapi perah. OMER merupakan software komputer yang dibuat dan dikembangkan oleh perusahaan asal Amerika Serikat yang bernama The National renewable energy laboratory dengan tujuan untuk mengetahui optimasi desain sistem energi pada wilayah tertentu. Jika konsep 4A+1S beserta dengan Panca Helix Model diaplikasikan maka akan dihasilkan Konsep Triple helix Model yang bertujuan untuk mencapai Ketahanan Nasional termasuk Ketahanan Energi yaitu Kedaulatan Negara, keutuhan Wilayah dan Keselamatan Bangsa dan Negara. Metode penelitian yang digunakan adalah reseach and development. Hasil temuan dalam pemanfaatan pembangkit listrik tenaga hibrid sebagai langkah memberikan solusi alternatif dalam transisi energi yang semua berbahan bakar fosil menjadi energi baru dan terbarukan (EBT). Selain itu menjaga penyediaan listrik dalam menjaga stabilitas sektor ekonomi, pendidikan, petahanan negara, serta memberikan gagasan baru di bidang pemenuhan listrik dengan pengembangan teknologi energi baru dan terbarukan berbasis tenaga Surya dan Biogas.
Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA Budiarto, Rahmat -; Kuntjoro, Yanif Dwi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 6: Desember 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023107123

Abstract

Tingkat ketahanan siber di Indonesia terhitung rendah dibanding dengan negara lain di dunia, terbukti dengan masih banyaknya kejahatan siber yang terjadi, seperti pencurian data dan identitas, penipuan dan peretasan situs-situs institusi pemerintah maupun swasta yang melibatkan peran  internal secara penuh maupun sebagian. Menangkis serangan dari luar jaringan institusi/organisasi relatif lebih mudah dilakukan dibandingkan dengan menangkis serangan kejahatan siber dari dalam jaringan. Serangan dari luar dapat dicegah menggunakan firewall, anti virus dan perangkat lunak khusus untuk pendeteksi penyusupan/malware. Penelitian ini bertujuan untuk membangun suatu model analisis perilaku entitas berazaskan Model Prediksi Memori (MPM) yang dikombinasikan dengan metode seleksi fitur principal component analysis (PCA) yang diimplementasikan untuk mendeteksi serangan/anomali siber yang melibatkan internal. Model prediksi memori yang terdiri dari 6 lapisan hirarki, mengenali masukan dari lapisan hirarki rendah ke lapisan hirarki tinggi kemudian dilakukan proses pencocokan dan menciptakan serangkaian ekspektasi dari lapisan hirarki tinggi ke rendah.. Setiap tingkat hierarki mengingat urutan pola masukan temporal yang sering diamati dan menghasilkan label atau 'nama' untuk urutan ini. Algoritma PCA diterapkan untuk mengurangi jumlah fitur trafik sehingga mempercepat proses deteksi, Data untuk percobaan diambil dari jaringan nyata dengan 150 pengguna dan data serangan flooding dari dataset MACCDC. Hasil eksperimen dalam suatu jaringan testbed menunjukkan hasil akurasi pendeteksian mencapai 94.01%, presisi 95.64%, Sensitivitas 99.28% dan F1-Score 96.08%. Model yang diusulkan (PCA-MPM) menunjukkan kemampuan menjalankan pembelajaran secara on-the-fly yang sangat diperlukan untuk mengenali perubahan fitur pada pola serangan yang sifatnya berevolusi dari waktu ke waktu. Pada gilirannya model ini dapat mendukung sistem pertahanan siber holistik yang sedang dikembangkan. Sistem yang sedang dikembangkan diharapkan dapat memenuhi kebutuhan dalam negeri akan teknologi siber untuk mengurangi ketergantungan dari negara lain karena dikembangkan secara lokal.   Abstract Compared to other countries in the world, the level of cyber resilience in Indonesia is low as evidenced by the number of cybercrimes that occur, such as data and identity theft, fraud, and hacking of websites of government and private institutions that involve full or partial insider roles. Fending off attacks from outside the institutional or organizational network is relatively easier than fending off cybercrime attacks from within the network. External attacks can be prevented using firewalls, anti-virus software, and special software for intruder and malware detection. This study intention is to build a model for analyzing entity behavior using a memory prediction model and uses the principal component analysis (PCA) as a feature selection method and implement it to detect cyber-attacks and anomalies involving insiders. The memory-prediction model recognizes bottom-up inputs that matched in hierarchy and evokes a series of top-down expectations. Each hierarchy level remembers frequently observed temporal sequences of input patterns and generates labels or 'names' for these sequences. To accelerate the detection process, the PCA algorithm is deployed to reduce the number of significant features of the traffic. Data for the experiment was taken from a real network with 150 users accessing the network. The experimental results in a testbed network show that the detection accuracy reaches 94.01%, the precision is 95.64%, the sensitivity is 99.28%, and the F1-score is 96.08%. The proposed model (PCA-MPM) is also capable of performing on-the-fly learning where this capability is needed to recognize feature changes in attacks that evolve over time. In turn, this model can support a holistic cyber defense system that is being developed. The system being developed is expected to meet the domestic need for cyber technology and reduce dependence on other countries as it is developed locally.
Comparative Performance of U-Net CNN in Multi-Class Aircraft Segmentation and Classification Using Polygon and Bounding Box Annotations Sitanggang, Rivilyo Mangolat Rizky; Dani, Wa Ode Dianita Putri Suaiba; Setiadi, Bambang; Kuntjoro, Yanif Dwi
Indonesian Journal of Aerospace Vol. 23 No. 1 (2025): Indonesian Journal Of Aerospace
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/ijoa.2025.8155

Abstract

Recent advancements in deep learning have revolutionized image processingtasks such as segmentation and classification. This study investigates theperformance of U- Net-CNN models in multi-class aircraft segmentation andclassification using polygon and bounding box annotations. Military aircraftclassification is crucial for defense applications, as it aids in rapid and accuratedecision-making during critical missions. This study investigates howthese annotation methods affect training time, segmentation accuracy, andclassification performance in multi-class segmentation and classification tasksinvolving military aircraft. The research compares polygon and bounding boxmethods to evaluate their effectiveness in capturing object details and computationalefficiency. While polygon annotations achieved superior precision witha mean test accuracy of 0.987 and lower loss of 0.041, bounding boxes excelledin computational efficiency. Future research should expand datasets and exploreadditional annotation techniques to further generalize these findings.
Co-Authors Ahmad Luthfin Al Kusari, Willy Albubaroq, Hikmat Zakky Alghaffar, Muhammad Dicky Arifan Jaya Syahbana Ashari, Almaida Enggar Bambang Setiadi Budiarto, Rahmat - Dani, Wa Ode Dianita Putri Suaiba Fhandy Pandey, Fhandy Indriyani, Yunita Muhamad Azwar, Muhamad Nugroho Sasongko Jati, Nugroho Sasongko Purba, Sampe L. Purwantoro, Susilo Adi Rachmat Sudibyo, Rachmat Saragih, Herlina J.R. Sitanggang, Rivilyo Mangolat Rizky Soebakgijo, Nanang Hery Sundari, Sri Syahtaria, Mohamad Ikhwan Syataria, Mohamad Ikhwan Uksan, Arifuddin Yahya, Muhammad Harun Yoce Matthews, Samuel Yohenson Yusgiantoro, Purnomo