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All Journal International Journal of Electrical and Computer Engineering TEKNIK INFORMATIKA Seminar Nasional Aplikasi Teknologi Informasi (SNATI) ELKHA : Jurnal Teknik Elektro Proceedings of KNASTIK TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Global Strategis Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Penelitian Politik Conference SENATIK STT Adisutjipto Yogyakarta Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) KACANEGARA Jurnal Pengabdian pada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Mnemonic Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Abdimasku : Jurnal Pengabdian Masyarakat Aiti: Jurnal Teknologi Informasi Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Pertahanan dan Bela Negara BHAKTI PERSADA Jurnal Aplikasi IPTEKS (Journal of Applied Sciences and Technology) ELPOSYS: Jurnal Sistem Kelistrikan Jurnal Elektrosista Jurnal Informatika Polinema (JIP) Jurnal TNI Angkatan Udara Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Tenaga Listrik.

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 Mathematics Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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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

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

SISTEM PREDIKSI TINGKAT KRIMINALITAS MENGGUNAKAN METODE TRIPLE EXPONENTIAL SMOOTHING: STUDI KASUS PADA POLRES KABUPATEN PROBOLINGGO Arwin Datumaya Wahyudi Sumari; Ricky Yulian Adi Pratama; Odhitya Desta Triswidrananta
JURNAL TEKNIK INFORMATIKA Vol 13, No 2 (2020): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v13i2.18128

Criminality is all forms of action and conduct that violate the law as well social and religious norms that are detrimental to the society both economically and psychologically. The emergence of verious crime forms with new dimension recently shows that the criminality is always developing. In the effort to reduce the increase of the crime rate, a crime action prediction system is needed to anticipate the future. In this research a crime rate prediction system based in the types of criminal action using Triple Exponential Smoothing (TES) method has been developed, and the prediction accuracy of the system is measured by using Mean Absolute Percentage Error (MAPE) method with a case study on Resort Police of Kabupaten Probolinggo, East Jawa. From the conducted test, obtained results MAPE score of theft by weighting (Curat) type is 7% or Very Accurate prediction criterion. MAPE score for crime action type Others, motor vehicle theft (Curanmor), Destruction, and Fraud are 9.8%, 14.4%, 13.6%, and 16%, or Good prediction criterion. For crime action type Beatings, violent theft (Curas), severe persecution (Anirat), Murder, and Thief each one has MAPE score 23.2%, 31.2%, 21.2%, 33.2%, and 50%, or Reasonable prediction criterion, while MAPE score for Animal Theft is 92% or Inaccurate prediction criterion. In general, the criminality rate prediction system using TES method that has been developed for the case study on Resort Police of Kabupaten Probolinggo obtains MAPE score 28,3% or Reasonable prediction criterion.

The Utilization of A3S Information-Inferencing Fusion Method for Nation Defense Arwin Datumaya Wahyudi.S; Adang Suwandi Ahmad; Aciek Ida Wuryandari; Jaka Sembiring
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2009
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Decision-making is the most critical phase in Observe, Orient, Decide, and Act (OODA) defense decisioncycle. If the decision made is correct regarding the current situation, then it can minimize the possibility of loss.The contradiction situation will occur if the incorrect decision is made. The correctness of the decision dependsof the quality on information delivered from Orient(ation) phase that will be used as the basis for decisionmaking.Meanwhile, in defense applications the process of decision-making plays a very important roleespecially if the time is the most affecting factor. Such an application is nation defense system in defending ourcountry’s nation sovereignty in air, sea, and land. Therefore, the faster the decision is made, the earlier thesystem can perform anticipations to any nation defense intrusion. For this purpose, in this paper we address theutilization of A3S (Arwin-Adang-Aciek-Sembiring) information-inferencing fusion for accelerating theinformation processing and obtaining good comprehensive information quality that will be used as the basis forstrategic decision-making for nation defense.Keywords: A3S, information-inferencing fusion, nation defense, OODA, strategic decision-making

Model Implementasi Mission Assurance dalam Business Process Management Arwin Datumaya Wahyudi Sumari; Firman Munthaha
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2013
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Business Process Management (BPM) menggunakan Teknologi Informasi (TI) sebagai salah satu sarana dalam merealisasikan tujuannya. Aktivitas BPM yang berlangsung dalam cyberspace selain memberikan keuntungan yang banyak, juga berdampak pada munculnya kerentanan-kerentanan dan ancaman-ancaman cyber dalam keamanan informasi BPM itu sendiri. Prosedur Mission Assurance dibutuhkan untuk menjamin keamanan informasi dari ancaman cyber yang bersifat dinamis dan terus berkembang. Dalam kajian ini diidentifikasikan peranan Mission Assurance dalam memberikan tingkat jaminan yang memadai untuk keberhasilan misi BPM. Identifikasi jaminan dan analisis dilakukan menggunakan Mission Assurance Category (MAC) dan Mission Assurance Analysis Protocol (MAAP). Hasil kajian menunjukkan Mission Assurance dapat memberikan pengukuran untuk menjamin misi dari BPM tercapai. Mission Assurance juga dapat mencegah dan mereduksi dampak-dampak dari serangan-serangan cyber yang kemungkinan dapat dialami oleh BPM.Kata kunci—Ancaman cyber; Business Process Management; Mission Assurance; Mission Assurance Analysis Protocol; Mission Assurance Category

Ekonomi Politik Kerja Sama Korea Selatan - Indonesia dalam Joint Development Pesawat Tempur KFX/IFX Semmy Tyar Armandha; Arwin Datumaya Wahyudi Sumari; Haryo Budi Rahmadi
Global Strategis Vol. 10 No. 1 (2016): Global Strategis
Publisher : Departemen Hubungan Internasional, Fakultas Ilmu Sosial dan Ilmu Politik, Unair

Proyek kolaborasi pengembangan Korean Fighter Experiment/Indonesian Fighter Experiment (KFX/IFX) Joint Development antara Indonesia dan Korea Selatan dibangun atas dasar keinginan Korea Selatan dan Indonesia untuk membangun kemandirian industri pertahanan di tengah keberadaan negara-negara besar dalam laju pengembangan alat utama sistem persenjataan dunia. Proyek ini pada prosesnya mengalami hambatan dan tarik ulur di antara kedua negara. Tujuan artikel ini adalah untuk menunjukkan bagaimana hambatan tersebut dapat terjadi. Artikel ini menggunakan kerangka teoretis ekonomi kolaborasi dalam proses akusisi pertahanan secara makro. Pendekatan yang digunakan adalah kualitatif untuk menganalisis secara deskriptif relasi Military-Industrial Complex (MIC) dalam proyek KFX/IFX. Hasil yang dicapai dalam penelitian ini adalah pemetaan relasi antara Indonesia-Korea Selatan-Amerika Serikat sebagai segitiga besi pertahanan internasional dalam proyek KFX/IFX.

Prediksi dinamika pandemi di Pulau Jawa menggunakan metode Moving Average dan Knowledge Growing System Arwin Datumaya Wahyudi Sumari; Dimas Rossiawan Hendra Putra; Muhammad Bisri Musthofa; Ngat Mari
Jurnal Teknologi dan Sistem Komputer Volume 9, Issue 1, Year 2021 (January 2021)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2020.13779

Penelitian ini bertujuan untuk menganalisis perbandingan kinerja metode-metode komputasi untuk memprediksi dinamika pandemi di Pulau Jawa berdasarkan data-data antara bulan Maret-Mei 2020 yang mencakup Provinsi DKI Jakarta, Jawa Barat, Jawa Tengah, DI Yogyakarta, dan Jawa Timur. Prediksi dilakukan menggunakan tiga metode, yaitu Knowledge Growing System (KGS) dan model deret waktu, yaitu Single Moving Average (SMA), dan Exponential Moving Average (EMA). Berdasarkan dari hasil-hasil komputasi Mean Absolute Percentage Error (MAPE) disimpulkan bahwa metode EMA menghasilkan tingkat kesalahan yang lebih kecil daripada metode SMA dengan rerata sebesar 47,94 %. KGS menghasilkan kompurasi Degree of Certainty (DoC) dan menganalisis tren dinamika pandemi di Provinsi DKI Jakarta akan turun, jika kebijakan yang saat ini diterapkan tetap dilanjutkan. Pada provinsi-provinsi lainnya, KGS memprediksi bahwa dinamika pandemi masih akan terus meningkat.

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 Millatina Nugraheni Agustian, Harliyus Alfian, Ahmad Alfian Alvi Rahmadhani Anggraini Kusumaningrum, Anggraini Annisa Puspa Kirana Annurroni, Ilyas Anton Setiawan Honggowibowo Ardhia Rahmania, Diva Arie Rachmad Syulistyo Arya Septiawan Astika AyuningTyas, Astika Aziza, Nadia Layra Bachri, Karel Octavianus 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 Dimas Rossiawan Hendra Putra Dimas Rossiawan Hendra Putra Djapri, Suparman Dwi Nugraheny, Dwi Dwiguspana, Edwin Emy Setyaningsih Farchan Agil, Mochammad Farel Putra Hidayat Farida Agustini Widjajati Febrianto, Adhika Firman Munthaha Hadi, Arijo Haruno Sajati Haryo Budi Rahmadi Hijriana, Sukriya Indrazno Siradjuddin Jaka Sembiring Jaka Sembiring Khayam, Umar Lovrencic, Sandra Luluk Mufida M. Ardli Aqdama Mamluatul Hani’ah Maulana Zinedin Zidane Mawarni, Putri Indah 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 Nuryatno, Edi Triono Odhitya Desta Triswidrananta Odhitya Desta Triswidrananta Pamungkas, Dedi Bintang Partono, Rani Perdana, Fatiha Eros Pramitarini, Yushintia Pranata, Aldi Surya Prihantoro, Mitro Pujiastuti, Asih Purwoko, Agus Rahmad, Cahya Rahman, Alex Firmansyah Rahmawati, Fajar Khanif Ricky Yulian Adi Pratama Rindu Alriavindra Funny Rokhimatul Wakhidah Rudy Laksmono Widayatno Salam Aryanto Sarwono Sutikno Satwika, Satriya Dipa Semmy Tyar Armandha Septafiansyah Dwi Putra Septian Enggar Sukmana Setiawan, Paulus Siswanto, Sela Aulia SUDARYANTO SUDARYANTO Sulistio, Andhika Syahbana, Muhammad Rifky Syamsiana, Ika Noer Syamsuri, Tresna Umar Trio Adiono Wahyudi, Moh Ari Wintolo, Hero Yenni Astuti, Yenni Yoda, Vincensius Arga Yohana, Puspa Ayu Yohana Yoppy Yunhasnawa Yushintia Pramitarini Yusuf Kurniawan Zaenal Abidin Zidan Shabira As Sidiq

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