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All Journal TEKNIK INFORMATIKA Reaktor Mechatronics, Electrical Power, and Vehicular Technology TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Journal of ICT Research and Applications Jurnal Agro Kultivasi JOIV : International Journal on Informatics Visualization Jurnal Sistem dan Manajemen Industri RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JRSI (Jurnal Rekayasa Sistem dan Industri) Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Mitra Manajemen Indonesian Journal of Information System Jurnal Kimia Terapan Indonesia Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURTEKSI Jurnal Sistem Cerdas Linguistik Indonesia Teknologi Indonesia International Journal of Advances in Data and Information Systems Journal of Data Science and Its Applications Jurnal Instrumentasi Jurnal Teknik Informatika (JUTIF) INVEST : Jurnal Inovasi Bisnis dan Akuntansi Charity : Jurnal Pengabdian Masyarakat Mechanical Engineering for Society and Industry Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding SENTRI: Jurnal Riset Ilmiah Jurnal Ilmiah Teknik Elektro eProceedings of Engineering Eduvest - Journal of Universal Studies SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Polimesin Scientific Journal of Informatics Rekayasa Mekanika: Jurnal Ilmiah Teknik Mesin AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal Journal of Production, Enterprise, and Industrial Applications IJoICT (International Journal on Information and Communication Technology) ITEJ (Information Technology Engineering Journals)
Fakhrurroja, Hanif
Telkom University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Neuroscience Public Health Social Sciences Transportation

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Development of IoT Control System Prototype for Flood Prevention in Bandung Area Permatasari, Yessy; Firdaus, M Ridwan; Zuhdi, Hafidh; Fakhrurroja, Hanif; Musnansyah, Ahmad
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.2083

Abstract

Bandung is one of the areas with high rainfall that can increase the volume of river water, which, if not handled properly, has the potential for significant floods that can cause material damage and loss of life. With this problem, the authors' rationale for designing a control system for flood prevention. This system develops prototypes using Internet of Things technology and fuzzy logic. For Internet of Things technology, the author uses Arduino, which controls sensors and actuators, while Raspberry Pi is used to process data. In addition, the author uses ultrasonic sensors to measure the water level and a water pump to control the water level. So, if the water level exceeds the specified limit, the pump will move the water to another place, in this prototype, using an aquarium. For fuzzy logic, the criteria used are dry, filled, and full. In addition, this system is equipped with a website-based dashboard used to monitor real-time data from the sensor. The results of this study indicate the system is running well, with an average error of 32.2%. This indicates that the system has been well designed because the errors obtained are feasible to be minor, although there are several influencing factors, such as prototype construction and sensor readings. Thus, this prototype can be applied as a reference for making a real system for flood control.
Ambidextrous IoT governance to support EnergyCo’s digital transformation based on COBIT 2019 traditional and DevOps Prima Audina Wibowo; Rahmat Mulyana; Hanif Fakhrurroja
Jurnal Sistem dan Manajemen Industri Vol. 9 No. 2 (2025): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v9i2.10803

Abstract

The accelerating digital transformation in the energy sector demands robust governance mechanisms for emerging technologies, particularly the Internet of Things (IoT). This study examines the governance challenges faced by an energy company in Indonesia as it strives to manage IoT ecosystems while meeting regulatory requirements and achieving organizational objectives. Despite IoT’s critical role in enabling digital transformation, limited Research has explored IoT governance frameworks grounded in COBIT 2019, especially within the energy domain. To bridge this gap, this study develops an ambidextrous IoT governance framework by integrating the Traditional and DevOps Focus Area mechanisms from COBIT 2019. The framework is designed to balance stability and adaptability in managing IoT-related risks. A Design Science Research methodology is employed, complemented by a case study approach involving interviews, questionnaires, and internal document analysis to ensure contextual relevance and data saturation. The study identifies and evaluates governance priorities by aligning Governance and Management Objectives (GMOs) with national regulations, design factors, and prior research findings. Based on gap analysis using seven components of the selected GMO, DSS (Managed Security Services), the study proposes targeted improvements to IoT governance. These include strengthening leadership accountability, advancing cybersecurity competencies, and enhancing system monitoring capabilities. The implementation of these improvements is projected to elevate the DSS maturity level from 3.29 to 3.86, supporting its digital transformation agenda in alignment with COBIT 2019. This Research contributes to the literature by offering a structured, context-aware IoT governance framework and providing actionable insights for practitioners seeking to govern IoT initiatives within complex, regulated environments.
Mapping IoT Applications in the Textile Industry: A Bibliometric Study using Biblioshiny and VOSviewer Kurnia, Deni; Sutanto, Agus; Fakhrurroja, Hanif; Son, Lovely
Proceedings of Universitas Muhammadiyah Yogyakarta Graduate Conference Vol. 5 No. 2 (2025): Fostering Gen Z for Sustainable Development and Renewable Energy
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/grace.v5i2.677

Abstract

The rapid advancement of technology, particularly the Internet of Things (IoT), has had a transformative impact on various industries, including the textile sector. IoT facilitates real-time data collection, monitoring, analysis, and decision-making, thereby enhancing efficiency, productivity, and resource sustainability. However, a comprehensive bibliometric study of IoT applications in the textile industry has yet to be undertaken. To address this research gap, this study employs bibliometric methods using the Biblioshiny R package and VOSviewer to examine research trends, key contributors, and emerging themes. By analyzing 177 relevant publications from 2015 to 2025, the study identifies major research directions, influential authors, leading institutions, and evolving areas of interest. The findings highlight a growing research focus on IoT-driven textile innovations, particularly the development of electronic textiles (e-textiles), which integrate electronic components into wearable devices for human use. This positioning of e-textiles at the forefront of smart wearable technology underscores their significance as a critical area of exploration within contemporary textile engineering. Furthermore, China, the United States, and India emerge as the predominant contributors to this research domain. The insights derived from this study offer valuable guidance for researchers, industry professionals, and policymakers, supporting future advancements and innovations in IoT applications within the textile industry.
Analisis Keamanan Protokol Komunikasi Message Queuing Telemetry Transport (Studi Kasus Smart Greenhouse) Pakpahan, Andy Victor; Triwangsa, Mochamad Cory Sakti; Fakhrurroja, Hanif
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 4 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i4.4681

Abstract

Masalah keamanan pada perangkat IoT menjadi isu yang menjadi kekhawatiran pengguna. Perangkat IoT yang memiliki pemrosesan yang terbatas menjadikan perangkat ini memiliki celah keamanan. Perangkat IoT kemudian menjadi sasaran oleh penyerang untuk mengambil data-data penggunanya. Perangkat IoT yang dianalisis keamanannya adalah Smart Greenhouse. Untuk menganalisis keamanan pada Smart Greenhouse menggunakan metode penetration testing dimana terhadap tahap Reconnaissance maka perlunya penggambaran sistem yang sedang berjalan dan berdasarkan sistem yang berjalan akan dicari celah berdasarkan studi literatur yang dilakukan. lalu potensi celah dicoba diimplementasikan di Smart Greenhouse dan dibandingkan dengan protokol komunikasi MQTTS yang dianggap lebih aman Kemudian pada tahap Scanning dilakukan dengan mencari informasi seperti IP, MAC dan port pada jaringan. Tahap ketiga adalah Exploitation melakukan penetrasi menggunakan teknik sniffling, Sniffling yang digunakan adalah ARP Poisoning, pada tahap Maintaining Access dilakukan MITM Attack kemudian ditemukan celah keamanan pada bagian protokol komunikasi MQTT yang digunakan, hal yang sama dilakukan pada MQTTS sebagai pembanding. Hasil implementasi tersebut ditemukan bahwa data yang dikirim melalui protokol MQTT dapat dibaca oleh penyerang dengan melakukan ARP Poisoning dan MITM Attack dapat memodifikasi packet data sehingga packet tidak sampai ke tujuan sedangkan pada protokol MQTTS ARP Poisoning dapat dilakukan namun data terenkripsi sehingga MITM Attack tidak dapat dilakukan
Association Analysis Between Public Sentiment and Grab Stock Performance Using SVM and Lambda Test Dita Pramesti; Hanif Fakhrurroja; Rahma Karina M.
IJoICT (International Journal on Information and Communication Technology) Vol. 11 No. 1 (2025): Vol. 11 No. 1 Jun 2025
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v11i1.9152

Abstract

During a period of strong economic performance in Indonesia—marked by a 5.4% growth in the second quarter of 2022—concerns about a potential downturn in the fourth quarter began to surface, as indicated by increased stock market volatility, including fluctuations in Grab’s share prices. This study aims to classify public sentiment toward Grab based on comments from the social media platform Twitter, and to analyze its relationship with the direction of the company’s stock price movement. Sentiment classification was conducted using the Support Vector Machine (SVM) algorithm through a series of steps including data preprocessing, TF-IDF weighting, imbalance data handling, and model performance evaluation. The dataset was split into 70% training data and 30% testing data. The SVM model achieved an accuracy of 87%, with a precision of 90%, recall of 91%, and F1-score of 91%. Public sentiment for each period was then aggregated using the Net Sentiment Score (NSS), which was subsequently categorized into positive or negative sentiment. These sentiment categories were analyzed in relation to stock price movements using the Goodman-Kruskal Lambda test. The result of ????(stock∣sentiment)=0.053 indicates that knowing public sentiment reduces prediction error by only 5.3%, while ????(sentimen|saham)=0.000 shows no predictive value in the opposite direction. This study contributes a novel approach by integrating machine learning-based sentiment classification with a categorical association test, specifically applied to a regional technology company in Southeast Asia, which remains underexplored in existing literature.
Multi-Output Classification of Cognitive Levels and Topics in Indonesian Questions using Deep Learning and Transformers Orvalamarva, Orvalamarva; Pratiwi, Oktariani Nurul; Fakhrurroja, Hanif
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1492

Abstract

Managing large-scale digital question banks struggles with manual metadata labeling, especially when identifying material topics and cognitive levels based on the Revised Bloom's Taxonomy. Current automated approaches usually treat these two attributes as separate tasks, which adds to the system's complexity and computational load. This study introduces a multi-output classification method using a shared encoder architecture with two task-specific heads to predict topics and cognitive levels simultaneously. We performed experiments on 685 Indonesian junior high science questions, covering 15 topic labels and four cognitive levels (C1–C4), with an imbalanced distribution in which lower cognitive levels accounted for more than 75% of the dataset. To handle this imbalance, we applied Focal Loss to taxonomy classification, and class weighting was used in the comparison model. A comparative study involved CNN, BiLSTM, DistilBERT, and IndoBERT. Our results demonstrate that IndoBERT delivered the best performance, with F1-macro scores of 0.78 for topics and 0.71 for cognitive levels and showed better performance in minority classes compared to standard cross-entropy-based models. These findings suggest that an integrated multi-output approach can boost the efficiency and accuracy of question labeling and offers potential for integration into Computer-Based Test systems and e-assessment platforms in real time.
Pengembangan Aplikasi Mobile Untuk Monitoring Kondisi Pasien Stroke Berbasis Pengenalan Wajah Dimas Jaya Kusuma; Hanif Fakhrurroja; Sinung Suakanto
eProceedings of Engineering Vol. 13 No. 1 (2026): Februari 2026
Publisher : eProceedings of Engineering

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

Abstract

Stroke merupakan salah satu penyakit dengan dampak serius yang memerlukan pemantauan kondisi pasien secara berkelanjutan untuk mencegah kekambuhan dan komplikasi lanjutan. Namun, keterbatasan akses terhadap layanan medis dan minimnya keterlibatan pendamping pasien dalam proses monitoring menjadi kendala tersendiri. Penelitian ini bertujuan untuk mengembangkan aplikasi mobile yang dapat membantu proses monitoring kondisi pasien stroke menggunakan teknologi pengenalan wajah berbasis deep learning. Metode yang digunakan dalam penelitian ini adalah Design Thinking, yang terdiri dari lima tahapan: empathize, define, ideate, prototype, dan test. Aplikasi dibangun menggunakan framework Flutter serta Firebase sebagai layanan backend. Proses deteksi dilakukan melalui citra wajah pengguna, yang dianalisis oleh model deep learning untuk mengidentifikasi perubahan visual seperti asimetri wajah sebagai indikator kondisi pasien. Hasil evaluasi menunjukkan bahwa aplikasi ini mampu mempermudah proses monitoring , baik bagi pasien yang dapat menggunakan aplikasi secara mandiri maupun bagi kerabat yang mendampingi. Pengujian sistem menunjukkan bahwa fitur utama berjalan sesuai dengan fungsinya, dan mayoritas pengguna menyatakan aplikasi mudah digunakan serta bermanfaat dalam mendukung pemantauan pasien stroke. Kata kunci — stroke, monitoring, pengenalan wajah, aplikasi mobile, deep learning
Comparison Of Sentiment Analysis Of Traveloka And Tiket.Com Applications On Twitter Using The Naive Bayes Method Nathifa Agustiana; Oktariani Nurul Pratiwi; Hanif Fakhrurroja
ITEJ (Information Technology Engineering Journals) Vol. 8 No. 2 (2023): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v8i2.119

Abstract

The country of Indonesia has a strategic geographical position and is also said to be a country that is very rich in natural resources and cultural diversity. One of the supporters of economic growth in Indonesia is tourism. To support the potential of the tourism sector in Indonesia, many online travel agent applications have started to appear. Of the many OTAs, the top two applications were selected, namely the Traveloka and Tiket.com applications. This sentiment analysis requires data from Twitter. This research compares sentiment analysis on the Traveloka and Tiket.com applications in terms of price and service. The method used is naïve Bayes. The goal is to get sentiment information contained in a text with a positive or negative view. With this research, it is hoped that we can see a comparison of sentiment analysis between the Traveloka and Tiket.com applications and be able to find out the level of accuracy of naïve bayes on the Traveloka and Tiket.com applications. The price dataset that gets more positive sentiment is the Traveloka price of 97.2%. In the service dataset that has positive sentiment, Tiket.com is 46.9%. Then, the greatest accuracy was obtained after oversampling the Tiket.com price dataset by 73%, Traveloka prices by 94%, Ticket services by 87% and Traveloka services by 86%.
Enhancing Healthcare RFID Asset Tracking: A Multi-Objective Optimization Approach Considering Network Delay, False Identification, and Energy Efficiency Sinung Suakanto; Edi Triono Nuryatno; Hanif Fakhrurroja; Safara Cathasa Riverinda Rijadi
Journal of ICT Research and Applications Vol. 19 No. 3 (2026)
Publisher : DRPM - ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2026.19.3.1

Abstract

This paper discusses asset challenges detection in the healthcare industry, specifically delays and inaccuracies in asset monitoring caused by suboptimal RFID polling methods. The research question is how to determine an appropriate RFID polling interval that balances asset location accuracy, reader energy consumption, and network response time. Due to the increasing risk of mismanagement and equipment loss, an efficient approach is needed to improve asset-tracking accuracy. This study proposes a simulation-based multi-objective optimization approach by determining the optimal polling period to minimize network delay, reader energy consumption, and false identifications. Monte Carlo simulation models the stochastic movement of assets to evaluate system performance under different polling strategies. The results of one experiment showed that 100 assets, with an average moving rate of 2.48, reached the optimal scanning period of 1460 minutes. Additional experiments were conducted to analyze the sensitivity of the optimal polling interval to changes in asset population and movement rates. The contribution of this study is the development of a holistic model to determine the optimal scanning time to improve asset-tracking accuracy and reduce operational costs in RFID systems. Although evaluated in a healthcare context, the proposed framework is versatile and can also be used for other RFID-based asset monitoring scenarios with similar trade-offs.
The Influence of IT Leadership on Business Continuity: Analysis of the Role of Digital Governance in Increasing Company Competitiveness Muhammad Fauzan Nur Adillah; Hanif Fakhrurroja
INVEST : Jurnal Inovasi Bisnis dan Akuntansi Vol. 4 No. 2 (2023): INVEST : Jurnal Inovasi Bisnis dan Akuntansi
Publisher : Lembaga Riset dan Inovasi Al-Matani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/invest.v4i2.704

Abstract

This research aims to explore and analyze the influence of leadership in Information Technology (IT) on company business continuity with a focus on the role of Digital Governance in increasing competitiveness. Using qualitative literature study methods, this research details the background to the importance of digital transformation in the modern business context, as well as investigating the key role played by IT leadership in guiding organizations towards digital success. The data and research objects involve analysis of texts and scientific literature that includes various sources and frameworks related to IT leadership and Digital Governance. It is hoped that the results of this research will provide a deeper understanding of how effective IT leaders can influence a company's business continuity through the application of Digital Governance principles, which in turn will increase the company's competitiveness in the digital era.  
Co-Authors Abdullah Ridwan Adi Sutrisno Adi Waskito Agus Sutanto Agustiana, Nathifa Ahmad Musnansyah Andry Alamsyah Andy Victor Pakpahan Anindya Prameswari Putri Djakaria Anto Tri Sugiarto Arif Abdul Aziz Aris Munandar Asriana Asriana, Asriana Azwar Farrel Wirasena Betty Natalie Fitriatin Binashir Rofi’ah Bismar Fadli Carmadi Machbub Cindy Septiani Hudaya Deden Witarsyah Deni Kurnia Denis Gresan Yubelas Deris Stiawan Dermawan, M Farhan Hussaini Derry Destian Didit Adytia Dimas Jaya Kusuma Dina Angela Dini Dwi Andayani Dita Pramesti Dita, Limbong Agatha Dita Djakaria, Anindya Prameswari Putri Edi Triono Nuryatno Edy Tanu Elsa Melati Nurrachmat Emma Trinurani Sofyan Erlangga, Gilang Faishal Mufied Al Anshary Faishal Mufied Al-Anshary Fauziah, Nicky Oktav Firdaus, M Ridwan Fitri Widiantini Ghifari, Raden Faqih Hilmiy Hakim, Aqil Rahman Hans Melkisedek Simanjuntak Hariyadi , Hendri Hestiawan Joniko Joniko Karina M., Rahma Kemahyanto Exaudi Lidanta, Fairuz Zahirah Lovely Son, Lovely Lukman Abdurrahman Made Marshall Vira Deva Mahardiono, Novan Agung Marno Marno Mimin Muhaemin Mohammad Tyas Pawitra Muhammad Fakhrul Safitra Muhammad Fauzan Nur Adillah Muharman Lubis Nabiel Muhammad Al Ghazali Nathifa Agustiana Nopendri Nopendri Novan Agung Mahardiono Novan Agung Mahardiono Novan Agung Mahardiono Nuryatno, Edi Triono Oktariani Nurul Pratiwi Orvalamarva, Orvalamarva Permatasari, Yessy Prahastiwi, Narita Ayu Prima Audina Wibowo Puspitasari, Devi Ambarwati Putra Perdana Prasetyo, Aditya Putri Utami Rukmana Rahayu, Indah Sari Rahma Karina M. Rahman, Jodi Rizki Rahmat Budiarto Rahmat Mulyana Rahmat Rambe Rais, Muhammad Haidar Ramdhani, Fiqri Rian Bimo Ankhal Rian Bimo Ankhal Rimba Pratama Putra Riverinda Rijadi, Safara Cathasa Sadewa, Rizki Salsabila, Syifa Aria Sandy, Muhammad Dwi Hary Sarmayanta Sembiring Sendhitasari, Aulia Ferina Seno Adi Putra Setyorini Setyorini Sinung Suakanto Sudaryati Cahyaningsih Sugiono, - Sutoyo, Edi Tanu, Edy Tatang Mulyana Tien Fabrianti Kusumasari Triwangsa, Mochamad Cory Sakti Tualar Simarmata Utama, Muhammad Hasbi Juri V. Luvita Veithzal Rivai Zainal Veny Luvita Veny Luvita Wibowo, Jony Winaryo Wibowo, Nanang Roni Widianto Soekarnen Wijaya, I Made Darma Putra Wira Guna, Tezar Yolanda, Mitra Marlina Zuhdi, Hafidh