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Arwin Datumaya Wahyudi Sumari

Indonesian Defense University

Author-ID : 391986

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Diplomasi Pertahanan Indonesia dalam Pencapaian Cybersecurity Melalui ASEAN Regional Forum On Cybersecurity Initiatives Setyawan, David Putra; Sumari, Arwin Datumaya Wahyudi
Jurnal Penelitian Politik Vol 13, No 1 (2016): Komunitas ASEAN dan Tantangan Ke Depan
Publisher : Pusat Penelitian Politik

AbstrakPerkembangan teknologi informasi di dunia internasional berdampak pada penggunaan ruang cyber yang mencakup semua aspek kehidupan nasional. Dihadapkan pada kondisi ini, pemerintah harus memahami kondisi cybersecurity di Indonesia dan membangunnya agar mampu mengatasi berbagai ancaman yang datang melalui ruang cyber. Selain kondisi internal, ruang lingkup eksternal perlu diperhatikan mengingat ancaman cyber yang bersifat transnasional, melewati batas kedaulatan, dan telah dipandang sebagai ancaman bersama oleh negara-negara di dunia. ASEAN telah menjadi salah satu wadah bagi Indonesia untuk memperjuangkan kepentingan nasionalnya dalam rangka mendukung keamanan nasional di bidang cyber. Melalui ASEAN Regional Forum (ARF) on cybersecurity initiatives, strategi diplomasi pertahanan diarahkan untuk meningkatkan rasa saling percaya (confidence building measures) antar negara dan mengurangi potensi ancaman yang dapat ditimbulkan dari lingkup eksternal. Upaya tersebut, menghasilkan kesepakatan berupa point of contacts antar negara dan persamaan pandangan untuk terus mengadakan pelatihan cybersecurity dalam bentuk seminar maupun workshop untuk membangun kapasitas sumber daya manusia. Strategi dan upaya tersebut dianalisis melalui pendekatan kualitatif dan data-data primer dikumpulkan melalui wawancara dengan 15 informan dari berbagai instansi pemerintahan. Selain itu, literatur, jurnal, dan dokumen terkait juga digunakan sebagai data pendukung.Kata Kunci: ARF, confidence building measures, cybersecurity, diplomasi pertahanan

MULTIAGENT COLLABORATIVE COMPUTATION FOR AIRCRAFT MAINTENANCE SYSTEM Sumari, Arwin Datumaya Wahyudi; Ahmad, Adang Suwandi
SENATIK STT Adisutjipto Vol 3 (2017): Dukungan Teknologi Untuk Pengembangan Industri Dirgantara Indonesia
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Quick-and-accurate decision is a primary requirement for achieving a mission’s successfulness in many organizations whether they are militaries or civilians. The larger and more complex the scope of a mission the longer the time will be needed to perform decision-making. A complex mission such as retaining a sustainable mission of aircrafts deployed in certain remote bases will require a 24-hour of standby on-site or off-site maintenance teams. The most common problem arisen from humans in such situations is the fatigue that can occur anytime to any of them during a continuing mission and of course, it can affect the continuity of the mission and delay or disappoint the mission achievement. In this paper we address the concept of the utilization of Multiagent Collaborative Computation (MCC) paradigm in supporting the decision-making process in aircrafts maintenance during a sustainable mission in remote bases. The ultimate goal of the MCC-based aircraft maintenance system is comprehensive information regarding the maintenance procedures in order to keep the aircrafts serviceable during the mission implementation. In this paper we also present the technique to obtain the comprehensive information as the basis for decision-making called A3S (Arwin-Adang-Aciek-Sembiring) information-inferencing fusion method

SIMULATOR LATIHAN MENEMBAK DENGAN PISTOL LASER BERBASIS MIKROKONTROLER AT89S51 Putra, Bayu Anugerah Rahardjo; Gastomo, Bambang; Sumari, Arwin Datumaya Wahyudi
Proceedings of KNASTIK 2009
Publisher : Duta Wacana Christian University

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Akademi Angkatan Udara (AAU) sebagai lembaga pendidikan tinggi militer memiliki beragam programpengajaran dan pelatihan di dalam program pendidikannya yang ditujukan untuk membina kemampuan dan ketrampilan paraKarbol AAU sebagai bekal dalam penugasan mereka sebagai Perwira TNI AU. Di antara program pelatihan tersebut adalahlatihan menembak menggunakan senjata laras pendek maupun laras panjang. Dalam situasi pengetatan anggaran TNI saat inidan di sisi lain profesionalisme harus tetap dipertahankan, diperlukan inovasi agar latihan menembak tetap dapatdilaksanakan. Terkait hal tersebut, di dalam makalah ini akan disampaikan penelitian awal untuk mengembangkan SimulatorTembak berbasis Mikrokontroler AT89S51 dengan Pistol Laser. Simulator tembak ini menggunakan pistol laser yangdikombinasikan dengan Light Dependent Resistor (LDR) sebagai sensor hasil perkenaan pada lisan tembak. Nilai perkenaantembakan akan diolah oleh mikrokontroler untuk ditampilkan pada tampilan seven-segment.

AN INTRODUCTION TO KNOWLEDGE-GROWING SYSTEM: A REVIEW ON THE NOVEL FIELD ON ARTIFICIAL INTELLIGENCE Sumari, Arwin Datumaya Wahyudi; Ahmad, A.S.; Wuryandari, A.I.; Sembiring, Jaka
Proceedings of KNASTIK 2009
Publisher : Duta Wacana Christian University

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Bidang Kecerdasan Tiruan telah mengalami kemajuan pesat sejak diperkenalkan pada tahun 1950-an. Hal esensialdari Kecerdasan Tiruan adalah bagaimana membangun suatu entitas yang menirukan kecerdasan manusia dalam carapembelajaran terhadap sesuatu untuk meningkatkan pengetahuan tentang sesuatu tersebut dan menggunakan pengetahuantersebut untuk menyelesaikan permasalahan-permasalahan yang terkait dengannya. Dalam makalah ilmiah ini kamimengkaji satu bidang baru dalam Kecerdasan Tiruan yang disebut Sistem Berpengetahuan-Tumbuh (SBpT) yakni sistemyang memiliki kemampuan untuk menumbuhkan pengetahuannya seiring dengan bertambahnya jumlah informasi seiringdengan berjalannya waktu. SBpT dibangun dari pengamatan terhadap cara otak manusia dalam memperolah pengetahuanbaru dengan cara memfusikan informasi yang dikumpulkan dan dikirimkan oleh panca indera manusia. Hasil dari observasitersebut adalah algoritma penumbuhan-pengetahuan baru yang disebut dengan metoda fusi penginferensian-informasiObservation Multi-time A3S (OMA3S). Beberapa contoh akan disampaikan untuk memperlihatkan aplikasi SBpT padapermasalahan-permasalahan di dunia nyata.

Revealing AES Encryption Device Key on 328P Microcontrollers with Differential Power Analysis Septafiansyah Dwi Putra; Adang Suwandi Ahmad; Sarwono Sutikno; Yusuf Kurniawan; Arwin Datumaya Wahyudi Sumari
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

This research demonstrates the revealing of an advanced encryption standard (AES) encryption device key. The encryption device is applied to an ATMEGA328P microcontroller. The said microcontroller is a device commonly used in internet of things (IoT). We measured power consumption when the encryption process is taking place. The message sent to the encryption device is randomly generated, but the key used has a fixed value. The novelty of this research is the creation of a systematic and optimal circuit in carrying the differential power analysis or difference of means (DPA/DoM) technique, so the technique can be applied in key revealing on a microcontroller device by using 500 traces in 120 seconds.

Towards cognitive artificial intelligence device: an intelligent processor based on human thinking emulation Catherine Olivia Sereati; Arwin Datumaya Wahyudi Sumari; Trio Adiono; Adang Suwandi Ahmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14835

The intervention of computer technology began the era of a more intelligent and independent instrumentation system based on intelligent methods such as artificial neural networks, fuzzy logic, and genetic algorithm. On the other hand, processor with artificial cognitive ability has also been discovered in 2016. The architecture of the processor was designed based on knowledge growing system (KGS) algorithm, a new concept in artificial intelligence (AI) which is focused on the emulation of the process of the growing of knowledge in human brain after getting new information from human sensory organs. KGS is considered as the main method of a new perspective in AI called as cognitive artificial intelligence (CAI). The design is to obtain the architecture of the data path of the processor. We found that the complexity of the processor circuit is determined by the number of combinations of sensors and hypotheses as the main inputs to the processor. This paper addresses the development of an intelligence processor based on cognitive AI in order to realize an Intelligence Instrumentation System. The processor is implemented in field programmable gate array (FPGA) and able to perform human thinking emulation by using KGS algorithm.

Architecture design for a multi-sensor information fusion processor Catherine Olivia Sereati; Arwin Datumaya Wahyudi Sumari; Trio Adiono; Adang Suwandi Ahmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.10180

This paper discusses the design of the architecture of an information fusion processor. This processor emulates the way of human thinking, namely by drawing conclusions from the obtained collection of information. Architecture design for this processor is based on Knowledge Growing System (KGS) algorithm. KGS is a novelty in Artificial Intelligence field. Compared to other AI methods, KGS focuses on the observation of the process of the knowledge growth within human brain based on information received from the surrounding environment. By using KGS algorithm, this processor works by receiving inputs from a set of sensors and possible hypotheses obtained after the processing of the information. The processor generates a value which is called as Degree of Certainty (DoC), which show the most possible hypothesis among all alternative ones. The Processor Elements which are used to perform KGS algorithm is designed based on systolic array architecture. The design of this processor is realized with VHSIC Hardware Design Language (VHDL) and synthesized by using FPGA Quartus II.13.1. The results show that the data path which has been design is able to perform the mechanism of KGS computation.

Cognitive artificial-intelligence for doernenburg dissolved gas analysis interpretation Karel Octavianus Bachri; Umar Khayam; Bambang Anggoro Soedjarno; Arwin Datumaya Wahyudi Sumari; Adang Suwandi Ahmad
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11612

This paper proposes Cognitive Artificial Intelligence (CAI) method for Dissolved Gas Analysis (DGA) interpretation adopting Doernenburg Ratio method. CAI works based on Knowledge Growing System (KGS) principle and is capable of growing its own knowledge. Data are collected from sensors, but they are not the information itself, and thus, data needs to be processed to extract information. Multiple information are then fused in order to obtain new information with Degree of Certainty (DoC). The new information is used to identify faults occurred at a single observation. The proposed method is tested using the previously published dataset and compared with Fuzzy Inference System (FIS) and Artificial Neural Network (ANN). Experiment shows CAI implementation on Doernenburg Ratio performs 115 out of 117 accurate identification, followed by Fuzzy Inference System 94.02% and ANN 78.6%. CAI works well even with small amount of data and does not require trainings.

A Novel Approach for Recognition and Identification of Low-Level Flight Military Aircraft using Naive Bayes Classifier and Information Fusion Arwin Datumaya Wahyudi Sumari; Afifah Millatina Nugraheni; Yoppy Yunhasnawa
International Journal of Artificial Intelligence Research Vol 6, No 2 (2022): Desember 2022
Publisher : STMIK Dharma Wacana

A problem that has been faced by the Radar is if the aircraft flies at low level or near to the surface so its coming in the aerial-surveillance airspace cannot be detected and endangers the air sovereignty. The aircraft can be recognized and identified by carrying out a technique called Visual Aircraft Recognition (VACR) using a binocular. This technique requires military personnel that has capability carrying out the air surveillance from the ground. Surveillance is a time-consuming and tiring task so it can cause fatigue and impact to the results of the recognition and identification. To cope with this problem, we have designed and implemented a novel recognition and identification method using the combination of Naive Bayes Classifier (NBC) and information fusion. By using a dataset that consists of 45 military aircrafts, 35 civilian aircrafts, 40 military helicopters, and 35 civilian helicopters with 80:20 dataset distribution for the training scheme and the validation one, we obtained the recognition accuracy of 87.1%. We also found that the recognition and identification process can be speeded up 1.2 seconds when using information fusion.

Diplomasi Pertahanan Indonesia dalam Pencapaian Cybersecurity Melalui ASEAN Regional Forum On Cybersecurity Initiatives David Putra Setyawan; Arwin Datumaya Wahyudi Sumari
Jurnal Penelitian Politik Vol 13, No 1 (2016): Komunitas ASEAN dan Tantangan Ke Depan
Publisher : Pusat Penelitian Politik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jpp.v13i1.250

Co-Authors A.I. Wuryandari A.S. Ahmad Aciek Ida Wuryandari Adang Suwandi Ahmad Adang Suwandi Ahmad Adang Suwandi Ahmad Addin, Tri Nur Ade Ismail Adhika Febrianto Adinandra, Dimas Eka Affandi, Luqman Afifah Milatina Nugraheni Afifah Millatina Nugraheni Aldi Surya Pranata Alfian, Ahmad Alfian Alvi Rahmadhani Anggraini Kusumaningrum Anggraini Kusumaningrum, Anggraini Anggraini Ningrum, Annisa Annisa Puspa Kirana Annurroni, Ilyas Anton Setiawan Honggowibowo Anton Setiawan Honggowibowo Ardhia Rahmania, Diva Arie Rachmad Syulistyo Arijo Hadi Arya Septiawan Astika AyuningTyas, Astika Aziza, Nadia Layra Bambang Anggoro Soedjarno Bambang Gastomo Bayu Anugerah Rahardjo Putra Benedictus Mardwianta, Benedictus Bima Gilang Lesmana Brian Adam Bhagaskara Catherine Olivia Sereati Chika Labita David Putra Setyawan David Putra Setyawan, David Putra Denny Dermawan Dhebys Suryani Hormansyah, Dhebys Suryani Dhimas Arbi Sukma Himawan Dila Prastiwi Dimas Eka Adinandra Dimas Rossiawan Hendra Putra Dimas Rossiawan Hendra Putra Djapri, Suparman Dwi Nugraheny, Dwi Dwiguspana, Edwin Edi Triono Nuryatno Emy Setyaningsih Emy Setyaningsih Farchan Agil, Mochammad Farel Putra Hidayat Farida Agustini Widjajati Febrianto, Adhika Fiernaningsih, Nilawati Findi, Putri Firman Munthaha Gisanda Aliya Ramadhanty Hadi, Arijo Harliyus Agustian Haruno Sajati Haryo Budi Rahmadi Hijriana, Sukriya Ibrohim Farros, Ammar Indrazno Siradjuddin Jaka Sembiring Karel Octavianus Bachri Khayam, Umar Luluk Mufida M. Ardli Aqdama M. Shafriza Ladiyan Mamluatul Hani’ah Maulana Zinedin Zidane Mawarni, Putri Indah Mila Kusuma Moch Zawaruddin Abdullah Mochammad Syaifuddin Zuhri Muhammad Auful Kirom Muhammad Bisri Musthafa Muhammad Bisri Musthofa Muhammad Ifan Fanani Muhammad Oktoda Noorrohman Mustika Mentari Nabilah Hanun Nafisah, Nihayatun Naily Ikmalul Insiyah Ngat Mari Ngatmari Nugraheni, Afifah Milatina Nugroho, Sutopo Purwo Nurwicaksana, Wahyu Aulia Nuryatno, Edi Triono Odhitya Desta Triswidrananta Odhitya Desta Triswidrananta Pamungkas, Dedi Bintang Partono, Rani Pramitarini, Yushintia Pranata, Aldi Surya Prihantoro, Mitro Pujiastuti, Asih Purwoko, Agus Putra, Septafiansyah Dwi Rahmad, Cahya Rahman, Alex Firmansyah Rahmawati, Fajar Khanif Ricky Yulian Adi Pratama Rindu Alriavindra Funny Rokhimatul Wakhidah Rudy Laksmono Widayatno Salam Aryanto Sarwono Sutikno Satriya Dipa Satwika Satwika, Satriya Dipa Semmy Tyar Armandha Septian Enggar Sukmana Setiawan, Paulus Siswanto, Sela Aulia SUDARYANTO SUDARYANTO Sulistio, Andhika Suparman Djapri Syahbana, Muhammad Rifky Syamsiana, Ika Noer Syamsuri, Tresna Umar Trio Adiono Wahyudi, Moh Ari Wildan Fikri, Mohammad Wintolo, Hero Yenni Astuti, Yenni Yoda, Vincensius Arga Yohana, Puspa Ayu Yohana Yoppy Yunhasnawa Yushintia Pramitarini Yusuf Kurniawan Zaenal Abidin Zidan Fahreza Zidan Shabira As Sidiq

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