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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Teknika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) International conference on Information Technology and Business (ICITB) Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Proceeding of the Electrical Engineering Computer Science and Informatics International Journal of Artificial Intelligence Research INTEGER: Journal of Information Technology Faktor Exacta JMM (Jurnal Masyarakat Mandiri) Jurnal Teknoinfo JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Informasi dan Komputer Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Infortech Jurnal Generic Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Bioscientist : Jurnal Ilmiah Biologi Jurnal Pengabdian kepada Masyarakat Journal of Research in Social Science and Humanities International Journal of Advanced Science and Computer Applications TECHSI - Jurnal Teknik Informatika Jurnal INFOTEL Journal of Digital Literacy and Volunteering Journal of Digital Literacy and Volunteering Journal of Digital Market and Digital Currency
M Said Hasibuan
Institute Informatika Dan Bisnis Darmajaya
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Analisis dan Pengelolaan Risiko Keamanan Informasi Puskesmas Menggunakan Metode Octave Allegro (Studi Kasus : Puskesmas XYZ) Saputra, Dian; Hasibuan, M. Said
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 6, No 2 (2024): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v6i2.18799

Abstract

Keamanan data penting untuk organisasi dan perusahaan sebab tujuan dari keamanan informasi adalah menjaga integritas, kerahasiaan serta ketersediaan di organisasi atau perusahaan. Ketika tidak diperlakukan dengan tepat dan benar, yang mengarah pada masalah dan peringatan yang tidak disangka bagi organisasi. Tujuan penelitian ini untuk analisis dan klarifikasi dalam keamanan Sistem Informasi Puskesmas XYZ. Puskesmas XYZ dalam manajemen informasi, mereka tidak pernah mengukur risiko dan tidak menerapkannya manajemen risiko. Untuk menganalisis masalah yang mungkin ada pada Puskesmas XYZ, octave allegro digunakan dalam research ini. Puskesmas XYZ mendapat saran untuk simulasi visual dengan mengontrol serta membantu karyawannya mengerti arti dari informasi yang dimaksud, berikut ancaman serta risiko yang akan terjadi. 
Information Security Measurement using INDEX KAMI at Metro City Savitri, Ratna; Firmansyah, Firmansyah; Dworo, Dworo; Hasibuan, Muhammad Said
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.152

Abstract

Information security is a crucial issue that affects the overall business process, therefore it must be protected and secured. This research was conducted to assess the information security risks at Metro City Communication and Information Office in a structured manner towards information assets in identifying efforts to reduce risks as part of the information security management program. The research method begins with defining the scope, collecting data and supporting documents, evaluating the Information Security Index (KAMI), determining scores in 7 security areas, where strengths/maturity and weaknesses/deficiencies will be identified in each security area. Finally, after obtaining the evaluation results, recommendations will be made. The Information Security Index (KAMI) is a computer-based tool in excel format that can assess and evaluate the completeness and maturity level of information security implementation based on the SNI ISO/IEC 27001 criteria that describe the readiness of the information security framework. The data obtained by the researcher is based on interview results, examination of the availability of Information Security Management System (SMKI) documents, and evidence of SMKI implementation records/archives. The dashboard evaluation results for electronic system category score 17, which is in the high category, governance score is 69, risk management score is 29, framework score is 33, information asset management score is 69, technology score is 81 and supplement score is 0%. Based on verification of the results of the KAMI Index version 4.2 assessment file, a score of 275 was obtained, indicating that information security
The Effect of Regulations and Policies on the Development of E-Business in Indonesia Nurdiyanto, Heri; Hasibuan, Muhammad Said; Agus, Isnandar; singagerda, faurani santi
Journal of Research in Social Science and Humanities Vol 4, No 2 (2024)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v4i2.143

Abstract

This paper examines the impact of regulations and policies on the development of e-business in Indonesia. As e-business becomes increasingly integral to the economy, understanding the regulatory environment is crucial for stakeholders, including policymakers, business owners, and consumers. The study explores the current regulatory framework governing e-business in Indonesia, identifying key policies that influence its growth and development. Through qualitative analysis of government regulations, industry reports, and expert interviews, the paper highlights both the supportive and restrictive aspects of these regulations. Findings indicate that while certain policies, such as tax incentives and infrastructure investments, have fostered e-business growth, others, including stringent data protection laws and complex compliance requirements, pose challenges. The research underscores the need for a balanced regulatory approach that promotes innovation while ensuring consumer protection and fair competition. Recommendations are provided for policymakers to enhance the regulatory landscape, suggesting measures such as streamlined compliance processes, enhanced digital literacy programs, and increased collaboration between government and industry stakeholders. Ultimately, this paper aims to contribute to the discourse on how regulations can be optimized to support the sustainable growth of e-business in Indonesia, aligning with broader economic goals and technological advancements.
Pengembangan Game Edukasi 2D Berbasis Android untuk Meningkatkan Kesadaran Lingkungan pada Anak-Anak: SD N 3 Bumidaya Fernando, Rhino; Laila, Siti Nur; Rosandi, Triowali; Hasibuan, Muhammad Said
TEKNIKA Vol. 18 No. 2 (2024): Teknika Juli - Desember 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.13294041

Abstract

Kurangnya kesadaran dan pemahaman masyarakat mengenai pembuangan dan pemilahan sampah yang benar, terutama di daerah perkotaan, masih menjadi masalah utama yang berpotensi menimbulkan dampak negatif bagi lingkungan dan kesehatan. Penelitian ini bertujuan untuk mengembangkan sebuah game edukasi interaktif berbasis Android yang dirancang untuk meningkatkan pengetahuan dan kesadaran anak-anak tentang pemilahan sampah. Metode yang digunakan dalam pengembangan game ini adalah Game Development Life Cycle (GDLC) yang terdiri dari enam tahap: inisiasi, pra-produksi, produksi, pengujian, beta, dan rilis. Hasil dari pengujian menunjukkan bahwa game "Pilah Sampah" mampu meningkatkan pemahaman siswa dalam memilah sampah dengan benar. Sebelum menggunakan aplikasi, hanya 76,67% siswa yang yakin dapat memilah sampah dengan benar, sedangkan setelah menggunakan aplikasi, persentase tersebut meningkat menjadi 93,33%. Game ini efektif sebagai media pembelajaran yang dapat meningkatkan kesadaran lingkungan pada anak-anak
Scalable Machine Learning Approaches for Real-Time Anomaly and Outlier Detection in Streaming Environments Dewi, Deshinta Arrova; Singh, Harprith Kaur Rajinder; Periasamy, Jeyarani; Kurniawan, Tri Basuki; Henderi, Henderi; Hasibuan, M. Said
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.444

Abstract

The prevalence of streaming data across various sectors poses significant challenges for real-time anomaly detection due to its volume, velocity, and variability. Traditional data processing methods often need to be improved for such dynamic environments, necessitating robust, scalable, and efficient real-time analysis systems. This study compares two advanced machine learning approaches—LSTM autoencoders and Matrix Profile algorithms—to identify the most effective method for anomaly detection in streaming environments using the NYC taxi dataset. Existing literature on anomaly detection in streaming data highlights various methodologies, including statistical tests, window-based techniques, and machine learning models. Traditional methods like the Generalized ESD test have been adapted for streaming data but often require a full historical dataset to function effectively. In contrast, machine learning approaches, particularly those using LSTM networks, are noted for their ability to learn complex patterns and dependencies, offering promising results in real-time applications. In a comparative analysis, LSTM autoencoders significantly outperformed other methods, achieving an F1-score of 0.22 for anomaly detection, notably higher than other techniques. This model demonstrated superior capability in capturing temporal dependencies and complex data patterns, making it highly effective for the dynamic and varied data in the NYC taxi dataset. The LSTM autoencoder's advanced pattern recognition and anomaly detection capabilities confirm its suitability for complex, high-velocity streaming data environments. Future research should explore the integration of LSTM autoencoders with other machine-learning techniques to enhance further the accuracy, scalability, and efficiency of anomaly detection systems. This study advances our understanding of scalable machine-learning approaches and underscores the critical importance of selecting appropriate models based on the specific characteristics and challenges of the data involved.
Performance Evaluation of Fuzzy Logic System for Dendrobium Identification Based on Leaf Morphology Putra, Arie Setya; Syarif, Admi; Mahfut, Mahfut; Sulistiyanti, Sri Ratna; Hasibuan, Muhammad Said
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.224

Abstract

Dendrobium is the second-largest family of flowering plants in the world. There are several classes of Dendrobium, which usually identify by its, including leaves and flowers. Due to the similarity of its characteristics, identifying orchid types is complicated and usually can only be done by an expert. Moreover, those characteristics are typically non-deterministic; examining the orchid species is very challenging. This research aims to develop a novel fuzzy-based system to identify the species of orchid based on unprecise existing leaf characteristics. We used the main characteristics of Dendrobium leaves, including shape, length, width, and tips of the leaves. Based on the information from the expert, we develop the membership for each class of Dendrobium. By adopting this knowledge, we develop the system by using compatible programming with this case, and Borland Delphi as complex application development. The experiment is done by using 200 real datasets from the Liwa Botanical Gardens, West Lampung Regency, Lampung Province, Indonesia. The results are compared with those given by a Dendrobium expert. A confusion matrix is a valuable evaluation tool for measuring the performance of classification models. From the above results, we can determine the confusion matrix and calculate the TP (True Positive), TN (True Negative), FP (False Positive), and FN (False Negative). The confusion matrix given from the experiments is shown in Table 6. This indicates that the system can provide the same results as experts recommended. It is shown that the system can identify orchid types with an accuracy value of 94,6 %.  Thus, this system will be beneficial for automatically determining the orchid genus.
Evaluation of Information Security at the Radin Inten II Lampung Meteorological Station Using the KAMI Index Ardiansyah, Ardiansyah; Irianto, Suhendro Yusuf; Hasibuan, M. Said
Bioscientist : Jurnal Ilmiah Biologi Vol 12, No 2 (2024): December
Publisher : Department of Biology Education, FSTT, Mandalika University of Education, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/bioscientist.v12i2.12498

Abstract

Information security is a way to protect information assets from various potential threats. BMKG is a Non-Departmental Government Institution (LPND) in Indonesia whose main duties involve carrying out government duties in the fields of meteorology, climatology and geophysics. In connection with delivering information services appropriately and precisely to stakeholders, the Radin Inten II Lampung Meteorological Station needs to carry out an independent assessment in terms of security to evaluate the information system in each work unit, with the aim of understanding the level of readiness and maturity of information security. This research aims to measure the level of information security maturity at the Radin Inten II Lampung Meteorological Station. The analysis method used in this research is using the KAMI Index version 5.0 based on the ISO/IEC 27001:2022 standard. The research results indicate that the implementation of the ISO 27001:2022 standard in the information system of the Radin Inten II Lampung Meteorological Station is considered good. The total score obtained reached 591 based on analysis and questionnaires using the KAMI Index. With this score, the Radin Inten II Lampung Meteorological Station information system is categorized at level III, which indicates that some improvements are still needed.
Jurnal AUDIT PEMBAYARAN PAJAK DAERAH MELALUI KANAL DIGITAL MENGGUNAKAN FRAME COBIT 2019 Yudha, Efrian Prama; Hasibuan, M. Said
JUTIM (Jurnal Teknik Informatika Musirawas) Vol 9 No 2 (2024): JUTIM (Jurnal Teknik Informatika Musirawas) DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jutim.v9i2.2523

Abstract

Pengelolaan teknologi informasi yang efisien memiliki dampak signifikan terhadap tata kelola organisasi pemerintah daerah, termasuk Badan Pendapatan Daerah Kabupaten Way Kanan. Penelitian ini bertujuan untuk mengevaluasi tingkat kapabilitas (Capability Level) dan tingkat kematangan (Maturity Level) tata kelola teknologi informasi dengan menggunakan framework COBIT 2019 pada sistem pengawasan pembayaran digital, RAMIK RAGOM TAX., penelitian ini mengidentifikasi kelemahan dan memberikan rekomendasi strategis untuk perbaikan sistem tata kelola teknologi informasi. Hasil penelitian menunjukkan adanya kesenjangan signifikan antara tingkat kapabilitas saat ini dan tingkat kematangan yang diharapkan, yang memerlukan langkah perbaikan sistematis untuk mendukung optimalisasi tata kelola TI.
A Proposed Model for Detecting Learning Styles Based on the Felder-Silverman Model Using KNN and LR with Electroencephalography (EEG) Hasibuan, Muhammad Said; Isnanto, R Rizal; Dewi, Deshinta Arrova; Kurniawan, Tri Basuki; Yeh, Ming-Lang; Wijaya, Adi
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.659

Abstract

The identification of learning styles plays a crucial role in enhancing personalized education and optimizing learning outcomes. This research proposes a model for detecting learning styles based on the Felder-Silverman model using two machine learning algorithms: K-Nearest Neighbors (KNN) and Linear Regression (LR). Electroencephalography (EEG) data, known for its ability to capture cognitive and neural activity, serves as the primary dataset for this study. The proposed model was tested on a dataset comprising EEG signals collected during various learning tasks. Feature extraction and preprocessing techniques were employed to ensure high-quality input for the learning algorithms. The experimental results revealed that the LR-based model achieved an accuracy of 96.4%, significantly outperforming the KNN-based model, which obtained an accuracy of 89.9%. These findings highlight the potential of EEG-based models for accurately identifying learning styles, offering valuable insights for educators and researchers aiming to implement adaptive learning systems. This study demonstrates the feasibility and effectiveness of combining EEG data with machine learning techniques for learning style detection, paving the way for more personalized and efficient educational approaches. Future research will explore the integration of additional physiological data and advanced machine learning methods to further improve model accuracy and applicability.
Interactive Learning Media for Early Childhood Education through Android-Based Educational Games using GDLC Method Rahmadi, Lendy; Effendi, M. Junius; Hasibuan, Muhammad Said
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 1 (2025): Maret 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i1.10129

Abstract

The rapid development of technology has influenced various aspects of life, including education. One of the innovations in the field of education is the use of technology-based learning media, such as interactive multimedia, which can enhance students' interest in learning. This research aims to develop an Android-based educational game called Edufun Kids Game, using the Game Development Life Cycle method. (GDLC). This game is designed to help early childhood children recognize letters, numbers, animals, and fruits interactively, creating a fun learning atmosphere and making it easier for educators to deliver the material. The research was conducted at the Tunas Ilmu Early Childhood Education in Pagar Alam City, where the previous learning media was still conventional. The implementation of the Edufun Kids Game shows positive results in increasing children's learning motivation and facilitating a more effective teaching and learning process, as evidenced by beta testing results where 85% of respondents rated the game as helpful for preschoolers in recognizing numbers, letters, animals, and fruits. The use of Android technology allows this application to be easily accessed on mobile devices, providing flexibility for users. The development of Android-based educational games can be an innovative solution to improve the quality of early childhood education
Co-Authors - Nurfiana A Adven Tonny A Feriyanto Abdi Darmawan Abror , Muhamad Achmad Aldi Sakoni Adam Japal Adi Wijaya Admi Syarif Afdal Wahyu Prayuda Agus, Isnandar Ali Nasution Andry Ferianto anggalia wibasuri Anuar Sanusi Anuar Sanusi Arbi Gunawan ARDIANSYAH ARDIANSYAH Ari Rohmawati Arie Setya Putra Arman Suryadi Karim, Arman Suryadi Aziz, RZ. Abdul Bagus Yuda Pratama Baruna Wisnu Wardana Baskoro Baskoro Dani Apriansyah Danil, Sapni Delli Maria Denny Prastiawan Destiawan Destiawan Dewi, Deshinta Arrova Dian Saputra Dika Tondo W Diki Andita Kusuma Doni Andrianto Dworo, Dworo Effendi, M. Junius Eko Budi Wicaksono Eko Zulkaryanto Elis Malana Fauziah Zahra Ramadhani Febriana, Annisa Arsya Fely Dany Prasetya Fernando, Rhino Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Fitria Fransiska, Devi Guntur Tiara Wahyu Hidayah handoyo widi nugroho Hardiansyah, Deni Henderi . Hendri Purnomo Herawadi S, Novi Hermansyah, Idi Herwanto, Riko Ismail, Abdul Azim Bin Isnaini Bastari Iwan Tri Bowo Khristina Henny R Kumala, Dian Agustin Arta Kurnia Muludi Kurniawan Kurniawan, Tri Basuki Laila, Siti Nur M. Arif Prayoga M. Arif Rifai M. Royan Fauzi Mahfut Maizary, Ary Marzuki Marzuki Melda Agarina Melda Agharina Muhammad Fahmi Hafidz Mukhas Munif Ahsani Munaa Munaa Munaa, Munaa Nathan Nurdadyansyah Nathan, Yogeswaran Netty Sefriyanti Nosiel Nosiel Novi Herawadi Sudibyo Novi Herawadi Sudibyo, Novi Herawadi Novita Sari Nurdiyanto, Heri Nurpambudi, Ramadhan Nuryana, Sapta Adi Onno W Purbo Periasamy, Jeyarani Pratama, Bagus Yuda Pratama, Tomy Adi Prayoga, M. Arif Prayuda, Afdal Wahyu Prilian Ayu Winarni Purbo, Onno W R Rizal Isnanto R, Khristina Henny Rahmadi, Lendy Rahmalia Syahputri Rahmalia Syahputri Ramadhani, Fauziah Zahra Rangga Firdaus Ratih Pratiwi Ratna Nurhaya Renita Dwi Astuti Ridho Kurniawan RIDHO KURNIAWAN, RIDHO Rizky Yulizar Rahman Romadhoni, Nuzul Rahmat Rosandi, Triowali Ruki Rizal Sakoni, Achmad Aldi Sapni Danil Savitri, Ratna Selfiyana, Reva Setiyono . Sigit Andriyanto Singagerda, Faurani Santi Singh, Harprith Kaur Rajinder Siti Khodijah Situmorang, Klaudia SB SRI RAHAYU Sri Ratna Sulistiyanti Suci Mutiara Sutedi Sutedi Suwandi Tetra Praja Utama Triloka, Joko Wahyu Bintono Wasilah Wibaselppa, Anggawidia Winda Rika Lestari Y Verawati Y. Suhendro Yeh, Ming-Lang Yogi Maulana Yoni Hisbullah Yudha, Efrian Prama Yusuf, Suhendro Zainal A. Hasibuan Zakaria, Mohd Zaki