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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Journal on Education EPIC : Journal of Electrical Power, Instrumentation and Control Journal of Applied Engineering and Technological Science (JAETS) Jurnal Sistem Komputer & Kecerdasan Buatan Cakrawala Repositori Imwi Fidelity : Jurnal Teknik Elektro International Journal Engineering and Applied Technology (IJEAT) Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Aryo De Wibowo
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Other

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Contribution of Disaster Response Team in Assisting Natural Disaster Mitigation in Cianjur Harurikson Lumbantobing; Aryo De Wibowo Sidik; Anggy Pradiftha Junfithrana; Anang Suryana; Handrea Bernando Tambunan; Muchtar Ali Setyo Yudono; Bayu Indrawan; Ilman Himawan Kusumah; Marina Artiyasa; Edwinanto; Yudha Putra; Yufriana Imamulhak
Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Vol. 3 No. 8 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jppmi.v3i8.194

Abstract

This article discusses the contribution of the natural disaster response team in assisting with natural disaster mitigation in Cianjur. The disaster response team consists of several experts in the field of electrical engineering, such as electrical technicians, telecommunications specialists, and electronics experts, who are ready to assist in facing natural disasters in the Cianjur region. The article explains the activities carried out by the disaster response team, ranging from pre-disaster preparedness to post-disaster management. Some of the activities performed by the disaster response team include the development and maintenance of electro-technological infrastructure, training and educating the community about natural disaster mitigation, as well as coordination with relevant agencies in disaster management. The results of these activities indicate that the contribution of the natural disaster response team is crucial in assisting with natural disaster mitigation in Cianjur. With the presence of this team, losses can be reduced, and the recovery of the affected areas can be expedited after a disaster. This article can serve as a reference for relevant parties in enhancing preparedness for facing natural disasters in other regions.
Social Consumer Relation Management Using Social Media as a Marketing Scheme in University Ali Ibrahim; Iredho Fani Reza; Mansyur Abdul Hamid; Hadiansyah Ma'sum; Heliza Rahmania Hatta; Aryo De Wibowo; Rahmat Izwan Heroza
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.3149

Abstract

Social media or called as ‘socmed’ is an online media that is frequently used by humans to improve in activities, which include promoting study programs of university. Most universities require a marketing scheme to promote certain study programs by using socmed. This study aims to investigate marketing strategies of universities using social costumer relation management (SCRM) and socmed. This is a qualitative study with a narrative model design. This study included about 2000 students from universities in South Sumatra, Lampung, Bengkulu, and Bangka Belitung, Indonesia. The samples were collected by proportional random sampling approach to attain the number of informants and data were collected through online interview questionnaire. Furthermore, the data were analyzed using coding approaches (open, axial, and selective coding) and value stream analysis. The findings revealed that SCRM can be an alternative marketing scheme for universities that utilize socmed to disseminate information owing to access easiness, complete and updated information, and attractive appearance.
Modelling and Optimization Containers Dwell-Time in Tanjung Priok Port Indonesia Aryo De Wibowo; Efendi Efendi
Cakrawala Repositori IMWI Vol. 2 No. 1 (2019): Cakrawala Repositori IMWI
Publisher : Institut Manajemen Wiyata Indonesia & Asosiasi Peneliti Manajemen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52851/cakrawala.v2i1.19

Abstract

Import containers stay too long, around 6.2 days at container terminals in Indonesia, which is negatively affecting logistics cost and is causing a serious adverse effect in terms of logistic costs for domestic businesses and prices paid by consumers. In this paper, we propose a method which controls and reduces dwell-time of import containers in The Port of Tanjung Priok. The controlled object is modeled as a reengineering business proses of import containers which controls time duration, processes and weights. Experimental results demonstrate the optimization of the proposed method and reduce the dwell-time.
A Novel Interval Type-2 Fuzzy Logic Controller for Shunt Active Power Filters in Power Quality Enhancement Sidik, Aryo De Wibowo Muhammad; Efendi, Efendi; Lumbantobing, Harurikson; Indrawan, Bayu; Junfithrana, Anggy Pradiftha; Ula, Rini Khamimatul; Suryana, Anang; Tambunan, Handrea Bernando; Narputro, Panji; Artiyasa, Marina
Fidelity : Jurnal Teknik Elektro Vol 6 No 2 (2024): Edition for May 2024
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/fidelity.v6i2.248

Abstract

This paper proposes a novel control strategy for enhancing power quality through the implementation of an Interval Type-2 Fuzzy Logic Controller (T2FLC) for Shunt Active Power Filters (SAPF). The presented method effectively addresses harmonic distortions introduced by non-linear loads, a common issue in modern electrical systems. Extensive simulations conducted in MATLAB/Simulink demonstrate the T2FLC's ability to regulate the DC bus voltage while significantly reducing Total Harmonic Distortion (THD). The method achieves superior performance compared to both traditional passive and active filtering techniques, reducing THD within the limits specified by IEEE 519-2014 standards. The results confirm the robustness and adaptability of the proposed approach across varying load conditions, establishing it as a reliable and scalable solution for improving power quality in complex electrical networks.
Jaringan Syaraf Tiruan Perambatan Balik untuk Klasifikasi Covid-19 Berbasis Tekstur Menggunakan Orde Pertama Berdasarkan Citra Chest X-Ray Yudono, Muchtar Ali Setyo; Hamidi, Eki Ahmad Zaki; Jumadi, Jumadi; Kuspranoto, Abdul Haris; Sidik, Aryo De Wibowo Muhammad
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 4: Agustus 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022945663

Abstract

COVID-2019 pertama kali muncul di kota Wuhan, Cina pada Desember 2019, kemudian menyebar dengan cepat ke seluruh dunia dan menjadi pandemi. Pandemi COVID-19 telah menyebabkan dampak yang cukup fataluntukkesehatan masyaraka. Merupakan hal yang sangat penting untuk mendeteksi kasus positif sedini mungkin untuk pencegahan penyebaran lebih lanjut dari virus ini. Teknik tes paling umum yang saat ini digunakan untuk mendiagnosa COVID-19adalah reverse-transcriptase polymerase chain reaction (RT-PCR). Pencitraan radiologis dada seperti chest X-ray memiliki peran penting dalam diagnosis dinipenyakit ini. Karena sensitivitas RT-PCR rendah 60% -70%, bahkan jika hasil negatif diperoleh, gejala dapat dideteksi dengan pemeriksaan gambar radiologi pasien. Teknik kecerdasan buatanyang digabungkan dengan pencitraan radiologis dapat membantu untuk mendiagnosis COVID-19 dengan lebih cepat dan akurat.Proses klasifikasi pada penelitian ini terdapat beberapa tahapan yaitu pra-pengolahan, segmentasi, ekstraksi ciri, dan klasifikasi. Ekstraksi ciri yang digunakan adalah berdasarkan tekstur orde pertama dan klasifikasi yang digunakan adalah jaringan syaraf tiruan perambatan balik. Sistem klasifikasi pada penelitian ini menghasilkan rata-rata akurasi klasifikasi sebesar 94,17% untuk kelas normal dan 77,5% untuk COVID-19. Hasil akurasi tertinggi didapat pada skenario pertama dengan hasil akurasi sebesar 88,8%. Nilai rata-rata sensitivitas yang didapat pada penelitian ini sebesar 94,17% untuk kelas normal dan 76,67% untuk kelas COVID-19. Nilai rata-rata spesifisitas yang didapat pada penelitian ini sebesar 76,67% untuk kelas normal dan 94,17% untuk kelas COVID-19.AbstractCovid-2019 first appeared in Wuhan, China, in December 2019, then quickly spread throughout the world and became a pandemic. The Covid-19 pandemic has had a fatal impact on public health. It is crucial to detect positive cases as early as possible to prevent the further spread of this virus. The most common test technique currently used to diagnose Covid -19 is the reverse-transcriptase polymerase chain reaction (RT-PCR). Chest radiological imaging such as chest X-ray has a vital role in the early diagnosis of this disease. Due to the low RT-PCR sensitivity of 60%-70%, symptoms can be detected by examining the patient's radiological images even if a negative result is obtained. Artificial intelligence techniques combined with radiological imaging can help diagnose Covid -19 more quickly and accurately. The classification process in this study consists of several stages, namely pre-processing, segmentation, feature extraction, and classification. The feature extraction used is based on the first-order texture, and the classification used is a backpropagation neural network. The classification system in this study resulted in an average classification accuracy of 94.17% for the normal class and 77.5% for Covid -19. The highest accuracy results were obtained in the first scenario, with an accuracy of 88.8%. The average sensitivity value obtained in this study was 94.17% for the normal class and 76.67% for the Covid -19 class. The average specificity value obtained in this study was 76.67% for the normal class and 94.17% for the Covid -19 class.
Co-Authors Abdul Hak Abdul Haris Kuspranoto Adeguna Ridlo Pramurti Adi Nugraha Adi Padilah Alfaozan Imani Muslim Ali Ibrahim Amrul Amrul Anang Suryana Anggy Pradiftha Junfithrana Aniati Anindita Satria Surya Artiyasa, Marina Bayu Indrawan Brian Bramantyo S.D.A Harsono Denny Haryanto Sinaga Dhandis Rito Jintaka Edwinanto Edwinanto Edwinanto Edwinanto Edwinanto Edwinanto Edwinanto Edwinanto Efendi Efendi Efendi Efendi Efendi Efendi Eva Fauziah Fredy Yusman Alexius Lase Gilang Insan Aghniya Gina Raodotul Jannah Hadiansyah Ma'sum Hamidi, Eki Ahmad Zaki Handrea Bernando Tambunan Harurikson Lumbantobing Heliza Rahmania Hatta Hestie Ariestina Ilman Himawan Kusumah Ilman Himawan Kusumah Indri Aprianti Iqbal Tawakal Iredho Fani Reza Ivano Kumaran Jumadi Jumadi Kurniawan mansyur abdul hamid Marina Artiyasa Marina Artiyasa Metodiusman Gulo Mochtar Ali Setyo Yudono Moh Ival Alpian S Mohammad Nashrul Hidayat MS Viktor Purhanudin Muchtar Ali Setyo Yudono Muhamad Ramdhani Firmansyah Muhammad Rifki Sofian Muhammad Shobirin Nadira Salsabila Oktaviani Panji Narputro Putri Erna Oktavia Rahmat Izwan Heroza Ridwan Maulana Ripal Rinaldi Septiani Astuti Sinta Apriliani Siti Latifah Siti Nur Annisa Tiara Azzahra Anzani Ujang Faisal Kusnadi Ula, Rini Khamimatul Utomo, Jepri Yosep B. Hutahaean Yudha Putra Yudha Putra Yufriana Imamulhak Yufriana Imamulhak Yurikeu Putri Agustin Zafar Akbar