Article Per Year (5 Year)
p-Index From 2021 - 2026
2.863
P-Index
This Author published in this journals
All Journal Electro Luceat MIND (Multimedia Artificial Intelligent Networking Database) Journal Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Elektra JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) BEMAS: Jurnal Bermasyarakat Technologic Indonesian Community Journal Jurnal Inkofar Jurnal Komtekinfo Jurnal Ilmiah Edutic : Pendidikan dan Informatika Proceeding International Pelita Bangsa The Eastasouth Journal of Information System and Computer Science Prosiding Seminar Nasional Unimus Journal of Information System & Business Management (ISBM) TECHNOLOGIC
Simarangkir, Manase Sahat H
Politeknik Meta Industri Cikarang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry 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 Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
The Integration of AI and IoT in Cyber-Physical Systems for Smart Manufacturing in Indonesia Wardhani, Diky; Simarangkir, Manase Sahat H; Safarudin, Muhamad Sigid; Vandika, Arnes Yuli; Kaaffah, Faiz Muqorrir
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.530

Abstract

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) within Cyber-Physical Systems (CPS) represents a transformative opportunity for smart manufacturing in Indonesia. This study employs a qualitative approach, with insights from five informants, to explore the current state, challenges, opportunities, and strategic recommendations for CPS adoption. Findings reveal that while CPS adoption is in its early stages, it has significant potential to enhance operational efficiency, sustainability, and global competitiveness. Challenges such as limited infrastructure, skill gaps, and cybersecurity concerns are prevalent. However, opportunities exist in leveraging government initiatives, fostering local innovation, and promoting sustainability. Strategic recommendations include enhancing digital infrastructure, providing financial incentives, upskilling the workforce, and establishing clear regulatory frameworks. These insights contribute to advancing Indonesia's Industry 4.0 agenda and offer a roadmap for stakeholders to navigate CPS integration effectively.
PROTOTYPE PENGUNCI PINTU OTOMATIS MENGGUNAKAN RFID (RADIO FREQUENCY IDENTIFICATION) BERBASIS MIKROKONTROLER ARDUINO UNO Simarangkir, Manase Sahat H; Agung Suryanto
Technologic Vol 11 No 1 (2020): Eleventh Volume of Technologic Series
Publisher : LPPM Politeknik Astra

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

Abstract

A manual door security system that has many shortcomings including difficulty opening locks when used, easily broken and keys that tend to be duplicated thereby reducing convenience and security. To prevent this, a good and easy-to-use room security system is needed. At this time began to develop an electronic room safety system using RFID technology (Radio-Frequency Identification) to improve the security system at the door of the house. In this study discusses the design and prototype of an automatic room door lock using an RFID system. The research method used is research and development. This Automatic Door is programmed by the Arduino application by creating a security system using Radio Frequency Identification (RFID) as a radio wave of data carrier frequencies that will be received by the receiver. The results of this study are the creation of an automatic home door security system using RFID which has a better level of security compared to manual security, so that it can cope with acts of theft in homes that are often abandoned by residents. In addition, the use of RFID can also minimize the overall lock on the house, so that every family member needs only one tag card / key to open all the locks on the door in the house.
Metode Simple Additive Weighting (SAW) dalam Menentukan Pengrajin Tikar Terbaik di Kota Tasikmalaya Cahyadi, Cepi; Simarangkir, Manase Sahat H; Jaelani, Rusani
Journal of Information System & Business Management (ISBM) Vol. 2 No. 1 (2024)
Publisher : Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/isbm.v2i1.40

Abstract

Untuk meningkatkan kompetensi para pengrajin di Kota Tasikmalaya, diperlukan sistem untuk pendukung keputusan dalam menentukan pengrajin unggul berdasarkan kriteria pembobotan. Saat ini, proses penilaian masih belum memiliki nilai yang jelas dan seringkali bersifat subyektif dari lembaga terkait. Metode SAW, yang juga dikenal sebagai metode dengan penjumlahan terbobot, memiliki konsep dasar yaitu mencari berapa penjumlahan terbobot dari rating kinerja setiap alternatif untuk semua atribut. Kriteria yang digunakan untuk menilai pengrajin di Tasikmalaya meliputi rata-rata nilai produk, harga, kualitas, kekuatan, kedisiplinan, tanggung jawab, dan kejujuran dengan nilai peringkat tertinggi pertama sebesar 0,980, peringkat tertinggi kedua sebesar 0,788, peringkat tertinggi ketiga sebesar 0,785 dan peringkat tertinggi keempat sebesar 0,768. Nilai lebih besar menunjukkan bahwa alternatif tersebut lebih terpilih. Dalam kasus penentuan pengrajin unggul di Tasikmalaya, hasil penilaian menggunakan Simple Additive Weighting menunjukkan perbedaan yang signifikan saat proses perangkingan dibandingkan dengan penilaian sebelumnya.
Improving Cybersecurity Resilience in Indonesian Cloud Infrastructures Through AI‑Based Threat Intelligence Simarangkir, Manase Sahat H
The Eastasouth Journal of Information System and Computer Science Vol. 3 No. 02 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v3i02.861

Abstract

The rapid expansion of cloud computing adoption in Indonesia has significantly increased organizational exposure to cyber threats, making cybersecurity resilience a critical strategic priority. This study examines the role of Artificial Intelligence (AI)-based threat intelligence in enhancing cybersecurity resilience within Indonesian cloud infrastructure. Using a quantitative research design, data were collected from 155 respondents consisting of IT managers, cloud engineers, and cybersecurity practitioners through a structured Likert-scale questionnaire. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that AI-based threat intelligence has a significant positive effect on threat detection accuracy and response effectiveness. Both threat detection accuracy and response effectiveness also have significant positive effects on cybersecurity resilience. Furthermore, AI-based threat intelligence directly strengthens cybersecurity resilience and indirectly enhances it through the mediation of threat detection accuracy and response effectiveness. These findings confirm that AI-driven cybersecurity systems play a strategic role in improving adaptive defense capabilities, accelerating incident response, and strengthening organizational resilience in cloud environments. This study provides important implications for policymakers, cloud service providers, and organizations in designing intelligent cybersecurity frameworks to support Indonesia’s sustainable digital transformation.
Co-Authors , M. Siddik Erdi W A. Yudi Permana A. Yudi Permana Abdul Ghofir Adam Puspabhuana agung Suryanto Andhika Arnes Yuli Vandika Bei Harira Irawan Bei Harira Irawan Cahyadi, Cepi Cantika Nur P Cepi Cahyadi Cepi Cahyadi Deddy Prihadi Erlinna Erlinna Faiz Irsyad Prasetyo Faiz Muqorrir Kaaffah Jaelani, Rusani Jeckson Sidabutar Mohammad Bintang Saputra Rizdam Firly Muzakki Safarudin, Muhamad Sigid Santo Wijaya Setiady, Wahyu Suryadi, Dikky Wardhani, Diky Zy, Ahmad Turmudi