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All Journal Jurnal Simetris Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer JUSIFO : Jurnal Sistem Informasi Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah KOMPUTASI Format : Jurnal Imiah Teknik Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika Jurnal Komputasi Jurnal Penelitian Pendidikan IPA (JPPIPA) JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Sebatik Jiko (Jurnal Informatika dan komputer) Astonjadro Simtek : Jurnal Sistem Informasi dan Teknik Komputer CCIT (Creative Communication and Innovative Technology) Journal Journal of Information System, Applied, Management, Accounting and Research Informatika IJITEE (International Journal of Information Technology and Electrical Engineering) Journal of Applied Science, Engineering, Technology, and Education JUKI : Jurnal Komputer dan Informatika Jurnal Abdidas International Journal of Industrial Optimization (IJIO) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) International Journal Of Science, Technology & Management (IJSTM) Journal of Technology and Informatics (JoTI) Indonesian Journal of Multidisciplinary Science Journal Of World Science Buletin Sistem Informasi dan Teknologi Islam Jurnal Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Ilmu Multidisplin Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Kohesi: Jurnal Sains dan Teknologi SmartComp Jurnal Informatika Polinema (JIP) Asian Journal of Social and Humanities Paradigma: Jurnal Filsafat, Sains, Teknologi, dan Sosial Budaya Jurnal Komputasi
Akbar, Habibullah
Universitas Esa Unggul
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Disaster Recovery Plan Analysis Based on the NIST SP 800-34 Framework (Case Study: PT Wijaya Karya (Persero) Tbk.) Dwi Pamungkas, Eric; Fatonah, Nenden Siti; Firmansyah, Gerry; Akbar, Habibullah
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.879

Abstract

PT Wijaya Karya (Persero) Tbk. (WIKA) is a state-owned company engaged in the construction sector and EPC is currently developing its business in the mining and investment sectors both at home and abroad. Information Technology is one of the supports to achieve its goals. The use of Information Technology is urgently needed by WIKA in order to increase the effectiveness and efficiency of the company's operational activities. In this regard, it is necessary to develop procedures for managing information technology resources to support WIKA's business continuity, which includes services for internal or external users. In the use of information technology, the Disaster Recovery Plan (DRP) is an important part of IT services in efforts to prevent Data Center Fail-Over caused by disasters. With the DRP procedure, it is expected that the Information Systems Bureau as the manager of WIKA's information technology can immediately anticipate if a Disturbance or Disaster occurs that has the potential to disrupt a large number (the majority) of processes or activities that are very critical for business continuity. This Disaster Recovery Plan is guided by the NIST SP 800-34 framework which begins with identifying and assessing risk, Business Impact Analysis (BIA), identification of preventive controls and preparation of contingency strategies.
Journal Series on Governance and Management of IT in Electronic-Based Government Systems (SPBE) in Indonesia Asianto, Andriyanti; Fatonah, Nenden Siti; Firmansyah, Gerry; Akbar, Habibullah
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.880

Abstract

SPBE Governance and Management is a framework that guarantees the implementation of regulation, direction and control in the implementation of SPBE in an integrated manner. SPBE Governance and Management aims to ensure that SPBE elements consist of the National SPBE Master Plan, SPBE Architecture, SPBE Roadmap, SPBE Program Plan and Budget, Business Process, Data and Information, SPBE Infrastructure, SPBE Application, SPBE Security, and Services SPBE. to achieve SPBE goals. In implementing all SPBE elements, integration and harmonization between the National SPBE and Regional SPBE are required. Therefore, this thesis research raises SPBE Governance and Management in accordance with COBIT 2019 as a governance framework that is set globally. Thus, this research will provide recommendations for the implementation of SPBE in Indonesia which can provide appropriate benefits for SPBE users, namely the community, business actors, civil servants, and other government agencies, and have detailed objectives and activities in accordance with COBIT 2019.
Audit of Information Technology Governance on School Operational Cost Flow in SMKN West Jakarta Using COBIT 2019 Sakron, Narul; Firmansyah, Gerry; Akbar, Habibullah; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.881

Abstract

IT governance is a process that aims to carry out the process of aligning business objectives in an agency in accordance with the business strategy applied to that agency. One sector that is trying to improve IT in improving its governance is the education sector including all SMKNs in West Jakarta. The problem with data management within the West Jakarta Vocational High School is that there is no analysis and research on good and relevant information technology governance in every budget the boss funds issue. This study aims to determine the level of capability and gaps in information technology governance that is currently being implemented, namely the boss fund management information system (Rkas, Arkas, Ready Bop Bos and Headquarters). This study uses analysis based on the 2019 COBIT standard with a focus on the APO12 (Managed Risk) and APO13 (Managed Security) domains to produce a value of capability level that can be used as a reference for analyzing risk management and security management in boss fund management at all West Jakarta Vocational High Schools. The data used in this study came from interviews, questionnaires and direct observation to the research site. The audit results show. APO12 level 2 capability level with a value of 89.29% (Fully Achieved). The capability level of APO12 is level 3 with a value of 77.36% (Largely Achieved) where the capability level of Level 3 APO12 does not reach Fully Achieved so that the capability level of APO12 is at level 3 The capability level of APO13 level 2 with a value of 61.43% (largely Achieved) which does not reach Fully Achieved so The capability level of APO13 is at level 2. The results of this study provide recommendations for aligning the vision, mission, and objectives of boss fund management, so as to improve the function of the boss fund management information system in all SMKN West Jakarta.
Analysis of Time Series Water Level Data Prediction Using Deep Learning Method at the Water Gate of DKI Jakarta Water Resources Office Supriyade, Supriyade; Firmansyah, Gerry; Akbar, Habibullah; Tjahjono, Budi
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.883

Abstract

Indonesia has 2 seasons, namely the dry season and the rainy season. During the rainy season, many points in the DKI Jakarta area experience flooding or inundation. The reason why Jakarta often experiences flooding is caused by several factors, including local rain floods, shipment floods and tidal floods. The DKI Jakarta Water Resources Agency currently does not have a system that can predict future water levels by referring to past and present water level data. Through this background, the author tries to conduct research in one of the floodgates in the northern area of DKI Jakarta in predicting water levels using deep learning methods , namely Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM). The purpose of this research is to analyze the best deep learning models and predict water level time series data. From the results of the analysis carried out, the best deep learning model is Long Short Term Memory (LSTM) using several tests such as n-input, split data with a composition of 90.33% train data and 9.67% test data , as well as testing of different parameters including epoch, batch size, learning rate, dropout , so the results obtained are the lowest error values with RMSE (17.65), MAPE (0.29), MAE (3.37) and the time needed in the process (runtime) is 39 minutes
Analysis of Tuberculosis Disease Case Growth From Medical Record Data, Viewed Through Clustering Algorithms (Case Study: Islamic Hospital Bogor) Dodo, La; Fatonah, Nenden Siti; Firmansyah, Gerry; Akbar, Habibullah
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.884

Abstract

Tuberculosis is a chronic infectious disease caused by Mycobacterium tuberculosis infection. Tuberculosis can spread from one person to another through airborne transmission. This disease is most commonly found in the Asian region. Currently, Indonesia ranks second after India in terms of tuberculosis cases. The discovery of tuberculosis cases by province in Indonesia reveals that West Java Province is one of the contributors to the highest tuberculosis cases. It is known that the tuberculosis case rate in Bogor Regency is one of the highest in West Java. This serves as the foundation for the focus of this research, which will be conducted at Islamic Hospital Bogor, to determine the average age and gender of patients who are more susceptible to tuberculosis. One way to understand the growth of tuberculosis cases is through clustering using Data Mining Techniques, specifically several clustering algorithms such as k-means clustering, fuzzy c-means, and Gaussian mixture. These techniques aim to identify the growth of tuberculosis cases based on age range and gender. Therefore, the research results are expected to provide new insights, which could be valuable for decision-makers in various capacities, such as preventive measures, healthcare facility provision, and medication considerations.
Comprehensive Benchmarking of Message Brokers: Evaluating Performance and Security Metrics for Reliable Messaging Systems Putra, Sipky Jaya; Firmansyah, Gerry; Tjahjono, Budi; Akbar , Habibullah
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 11 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i11.5081

Abstract

A message broker plays a crucial role in distributed communication systems by ensuring reliable message delivery between services. In practice, choosing a message broker involves not only considering performance aspects such as latency and throughput but also security features like authentication, authorization, and encryption. However, challenges arise when enhancing security layers negatively impacts system performance. This study aims to explore and evaluate four popular message brokers—Apache Kafka, Apache Pulsar, Apache RocketMQ, and RabbitMQ—focusing on performance metrics (latency and throughput) across various security configuration levels (no security, TLS, basic authentication, and advanced authentication). The evaluation is conducted through standardized benchmarking processes to assess the impact of security feature implementation on overall system performance. The results of this research are expected to provide insights into the optimal balance between security and performance that remains acceptable by industry standards. Furthermore, the findings may assist developers and system architects in selecting the most suitable message broker configuration based on scalability requirements and data sensitivity levels.
Analisis Kerangka Kerja IT Governance Untuk Memitigasi Risiko Serangan Siber Pada Perusahaan Di Sektor Jasa Keuangan Rachman, Riyandi Patu; Firmansyah, Gerry; Akbar, Habibullah; Widodo , Agung Mulyo
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 11 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i11.5083

Abstract

Cybersecurity has become a critical issue for the financial services sector, which increasingly relies on information technology. Limited resources and inadequate Governance make this sector vulnerable to cyberattacks, which can lead to financial losses, data breaches, and operational disruptions. Therefore, implementing an effective IT Governance Framework is essential to enhance cyber resilience and mitigate attack risks. This study aims to analyze the role of IT Governance in mitigating cyberattack risks for companies in the financial services sector. The research employs a qualitative approach through case studies, interviews, and analysis of relevant documents. The findings indicate that most financial service companies still have low preparedness levels in facing cyber threats. Proper implementation of IT Governance can help improve protection and response to attacks, despite challenges in resources and security awareness.
Penerapan Analisis Asosiasi Untuk Mengetahui Pola Pembicaraan Depresi Pada X Rifqi Adi Prasetya; Munawar; Habibullah Akbar; Popong Setiawati
Paradigma: Jurnal Filsafat, Sains, Teknologi, dan Sosial Budaya Vol. 31 No. 2 (2025): Paradigma: Jurnal Filsafat, Sains, Teknologi, dan Sosial Budaya
Publisher : Universitas Insan Budi Utomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33503/paradigma.v31i2.2557

Abstract

Penelitian ini bertujuan untuk mengidentifikasi pola pembicaraan yang mencerminkan gejala depresi pada media sosial X dengan menerapkan metode association rule mining. Dengan meningkatnya penggunaan media sosial sebagai wadah ekspresi emosional, studi ini berupaya mengungkap hubungan antar kata yang sering muncul bersamaan dalam konteks depresi. Penelitian ini menggunakan pendekatan Knowledge Discovery in Database (KDD) yang mencakup tahapan seleksi data, pre-processing, transformasi data, data mining, interpretasi hasil, dan validasi pakar. Data dikumpulkan melalui tools Tweet Harvest dengan kata kunci seperti “capek”, “sedih”, “stress”, “sengsara”, “lelah”, “gelisah” dan “putus asa”, menghasilkan 21.020 tweet, yang kemudian diproses dan dianalisis menggunakan algoritma Apriori dan FP-Growth. Hasilnya menunjukkan 12 aturan asosiasi yang menggambarkan ekspresi emosi negatif dengan intensitas tinggi, seperti asosiasi antara “hidup” dan “sengsara” serta “sedih” dan “banget”, yang mencerminkan fokus pada diri sendiri, kelelahan emosional, dan persepsi negatif terhadap hidup sebagai indikasi umum dari depresi. Validasi pakar mengonfirmasi bahwa pola-pola tersebut memiliki relevansi klinis. Apriori terbukti lebih efisien dari segi waktu dan penggunaan memori dibanding FP-Growth. Temuan ini menunjukkan bahwa pola bahasa di media sosial dapat menjadi indikator dini gejala depresi.
Perancangan UI/UX Aplikasi Mood Diary Menggunakan Metode Design Thinking Aisyah, Zhavira; Azizah, Anik Hanifatul; Akbar, Habibullah
Jurnal Informatika Polinema Vol. 12 No. 1 (2025): Vol. 12 No. 1 (2025)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i1.8605

Abstract

Suasana hati adalah keadaan perasaan menyenangkan atau tidak menyenangkan yang biasanya berlangsung selama berjam-jam atau berhari-hari, sehingga dapat mempengaruhi bagaimana seseorang bertindak atau berperilaku. Penelitian ini bertujuan untuk merancang design UI/UX aplikasi Mood Diary. Aplikasi ini merupakan sebuah platform mood tracker, yang dirancang untuk membantu pengguna mengelola suasana hati mereka serta mencegah adanya permasalahan isu kesehatan mental. Mood Diary menawarkan fitur-fitur visualisasi mood dan analisis mood, rekomendasi aktivitas, dan fitur utama lainnya. Tahap pengerjaan design UI/UX aplikasi ini, diawali dengan analisis permasalahan, tinjauan pustaka yang didapatkan berdasarakan referensi dari berbagai jurnal atau penelitian yang sudah ada sebelumnya dan pendapat para ahli. Hal selanjutnya yaitu, pengumpulan data dengan wawancara yang melibatkan 20 responden. Perancangan ini dilakukan dengan metode design thinking yang terdiri dari lima tahapan yaitu empathize, define, ideate, prototype, dan test. Tahap test mengukur aspek usability yang meliputi beberapa tahapan yaitu, Effectiveness, Efficiency, dan Satisfaction. Dalam aspek effectiveness, didapatkan hasil dari 20 responden dapat menyelesaikan semua task yang diberikan di setiap fitur tanpa ada kegagalan, sehingga hasil efektivitas yaitu 100%. Selanjutnya, dalam aspek efficiency didapatkan total waktu keseluruhan 2685.56 detik, dari total waktu tersebut disimpulkan bahwa tidak ada waktu yang terbuang sia-sia akibat kegagalan dalam mengerjakan task. Terakhir, untuk aspek satisfaction menggunakan kusioner SUS didapatkan skor rata-rata SUS (System usability scale) sebesar 82,5 yang berarti aplikasi sudah memenuhi kebutuhan pengguna dengan baik.
Komparasi Model CNN untuk Klasifikasi Citra Pakaian Adat Tradisional Indonesia Muhamad Septian Nugraha; Hani Dewi Ariessanti; Habibullah Akbar
Jurnal Ilmu Multidisiplin Vol. 4 No. 4 (2025): Jurnal Ilmu Multidisplin (Oktober - November 2025)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jim.v4i4.1245

Abstract

Kemajuan teknologi, khususnya di industri fesyen, telah mendorong munculnya fenomena fesyen cepat (fast fashion), yaitu produksi pakaian yang cepat dan massal dalam siklus pendek. Indonesia juga kaya akan warisan budaya, termasuk pakaian adat yang mencerminkan identitas setiap suku dan daerah. Generasi muda, sebagai target utama fesyen cepat, menghadapi tantangan untuk mengenali dan melestarikan warisan budaya ini di tengah maraknya tren pakaian modern. Salah satu cara untuk memperkenalkan kembali pakaian adat adalah melalui klasifikasi citra yang memanfaatkan metode Convolutional Neural Network (CNN) dalam pembelajaran mesin. Model klasifikasi ini dapat diimplementasikan pada platform digital seperti aplikasi atau situs web yang interaktif dan mudah diakses. Penelitian ini bertujuan untuk mengembangkan dan membandingkan empat arsitektur CNN untuk klasifikasi citra pakaian adat: Custom CNN (3 Conv Layer), ResNet-50, MobileNetV2, dan YOLOv8. Pendekatan yang digunakan bersifat eksperimental, dengan fokus pada evaluasi kinerja model berdasarkan tingkat akurasi. Hasil eksperimen menunjukkan bahwa YOLOv8 memberikan hasil terbaik, dengan akurasi mencapai 100% pada epoch ke-30 dan ke-50. Model ResNet-50 berada di posisi kedua dengan akurasi 99% pada epoch ke-50. Sementara itu, MobileNetV2 mencapai akurasi 85%, dan CNN Custom mencapai akurasi maksimum 79%. Temuan ini menunjukkan bahwa YOLOv8 merupakan arsitektur yang unggul untuk tugas mengklasifikasikan citra pakaian adat Indonesia.
Co-Authors Adi Widiantono Agus Satriawan Aisyah, Zhavira Alexander Alexander, Alexander Alvin Barata Amelia Sholikhaq Andini, Ketrin Vani Andriana, Dian Andriyanti Asianto Anwar Nasihin Ardiansyah, Miri Ari Pambudi Arif Pami Setiaji Ary Prabowo Astamar Putra, Ichlasul Fikri Azizah, Anik Hanifatul Bob Tjahjono Budi Tjahjono Calvin Ramadhani Alfahrezi Chiuman, Felix Decky Ryansyah Delio, Ferdinand Defin Deni Pamungkas Gelantoro Putra Diah Aryani, Diah Dodo, La Dudy Fathan Ali Dwi Pamungkas, Eric Dwiputra, Dedy Elvaret Eric Dwi Pamungkas Eric Julianto Fathan Ali, Dudy Fatonah, Nenden Siti Franky Leonard Gerry Firmansyah Gerry Firmansyah Gilang Banuaji Hadi, Muhammad Abdullah Hafizah Safira Kaurani Hani Dewi Ariessanti Haryoto, Iin Sahuri Hendy Hendy Herwanto, Agus Husni Sastra Mihardja Husni Satra Mihardja Husni Satra Mihardja Indri Handayani, Indri Intan Setya Palupi La Dodo Latumapayahu, Febrian Firmansyah Mahmudin, Hajon Mahdy Martin Saputra, Martin Marwan Kadhim Mohammed Al-shammari Marwan, Rudi Heri Marzuki Pilliang Mochamad Wahyudi Mochamad Welly Rosadi Mohamad Yusuf Mohammed Al-shammari, Marwan Kadhim Muhamad Septian Nugraha Muhammad Fajrul Aslim Muhammad Fazly Qusyairy Muhammad Yusuf Morais Mukhamad Abduh Munawar Nainggolan, Restamauli br Nanna Suryana Herman Narul Sakron Nasihin, Anwar Nila Rusiardi Jayanti Nizirwan Anwar Noviandi Noviandi Nugroho Budhisantosa Nugroho, Irfan Hari Pilliang, Marzuki Pramesty, Feranti Destina Puryanto, Jonathan Aditya Putra, Sipky Jaya Putra, Syahrizal Dwi Rachman, Riyandi Patu Ramadhan, Noval Rizky Randy Swandy Reyhan, Athallah Rifqi Adi Prasetya Rizky Yananda Rosnanto, Imam Rudy Setiawan Sabri Alim Sakron, Narul Sandfreni, Sandfreni Saputra, Rahdian Sea, Rona Aulia Wangsa Sejati, Puteri Setiawati, Popong Sfenrianto Sfenrianto Sinaga, Matius Eliezer Suardana, Made Aka Suhandi Junaedi Supriyade Supriyade Supriyade, Supriyade Sutanto, Imam Tantrisna, Ellen Tardiana, Arisandi Langgeng Tartila, Gilang Romadhanu Tino Saputra Trenggana Natadirja Ulum, M. Bahrul Ulum, Muhamad Bahrul Wahyu Purnama Magribi Widodo, Agung Mulyo Wijaya, Jacob S Yaya Sudarya Triana