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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 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 Jurnal Teknologi Informasi dan Ilmu Komputer 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 Dinasti International Journal of Education Management and Social Science 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 Penelitian Sistem Informasi Jurnal INFOTEL Journal of Digital Literacy and Volunteering Journal of Digital Literacy and Volunteering Journal of Digital Market and Digital Currency
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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
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.
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.
Implementasi Teknologi QR Code Dalam Pendaftaran Calon Mahasiswa Baru Prayuda, Afdal Wahyu; Sakoni, Achmad Aldi; Prayoga, M. Arif; Hasibuan, Muhammad Said
Journal of Digital Literacy and Volunteering Vol. 1 No. 1 (2023): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v1i1.14

Abstract

In tertiary institutions, the acceptance of new students (PMB) is an administrative procedure. Online registration forms are filled out by prospective students to complete the registration procedure. As a result, a system was created that makes use of QR Code technology, which is anticipated to make the registration process easier for potential new students (PMB). The system design approach that was utilized to create the design for the software requirements analysis system was the technique employed in this paper. In order to find out the processes that happen in a system based on the results of the Qr Code Design as a Service Optimization Media for New Student Admission Registration, researchers carry out software requirements in the design and construct optimization of new student admissions services.
Pengembangan Sistem Absensi Karyawan di Institut Informatika dan Bisnis Darmajaya Dengan Menggunakan Teknologi Barcode Pratama, Bagus Yuda; Ramadhani, Fauziah Zahra; Munaa, Munaa; Hasibuan, Muhammad Said
Journal of Digital Literacy and Volunteering Vol. 1 No. 1 (2023): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v1i1.15

Abstract

There are so many ways to process employee attendance, one of which is to use the manual method. So far, there are still many large companies that still implement attendance manually, but this causes a lot of time leaks or other violations, which of course makes it less effective and efficient and causes attendance information to be inaccurate. In a company with quite a lot of employees, it is very necessary to have proper, fast, accurate attendance management. An accurate methodology for solving problems in this modern era with the use of QR barcodes because it will really help companies to attend to employees in real time. The system is made with the PHP programming language and uses the MYSQL database. The purpose of QR Code (Quick Response Code) technology in companies is as a tool in processing employee attendance data, employee identity cards and also processing employee data which is beneficial for employees because they can carry out computerized attendance activities. The results to be obtained from the research and implementation of this system are by entering several examples of employee data as an experimental form of attendance transactions, and the attendance application program is made to run properly. The system created produces several features in the form of user features, checking QR codes for attendance, generating QR codes from each employee card, recapitulation and attendance reports on the system, and employee data in the form of employee names, positions, work shifts and work location placements
Evaluasi Sistem ATR/BPN Berbasis Webuse dan Heuristic Evaluation Danil, Sapni; Hasibuan, Muhammad Said
Journal of Digital Literacy and Volunteering Vol. 2 No. 1 (2024): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v2i1.41

Abstract

The Ministry of Agrarian Spatial Planning/National Land Agency (ATR/BPN) provides services that aim to facilitate the public in managing the legality of land services online, which can be accessed anywhere with the aim of providing convenience and security to the public in conducting service transactions as an effort to increase the ease of doing business, but the benefits of this website have not been measured for the usability of the website effectively and efficiently. Therefore, this research was conducted with the aim of evaluating and assessing the appearance of the interface with the Heuristic Evaluation method and the Web Usability Evaluation Tool (WEBUSE) and measuring display development. ATR/BPN website to help the community. The research method uses the Web Usability Evaluation Tool (WEBUSE) in the form of a questionnaire and then evaluates it using Heuristic Evaluation. The research that has been carried out has produced findings that show the ATR/BPN Website has a level that is good enough to be used by Notary/PPAT employees and the community. From the usability test, it shows that the quality attribute can be said to be of high value. The conclusion of the study shows that each category of WEBUSE Evaluation has a usability value of 0.69 points, which indicates the usability level is at a good level while the lowest value is in the visibility of system status (feedback) variable (H1 of 61.02%) according to the usability level at the Moderate. This means it's not working properly. And the Savery Rating is 1.3119 when rounded up to 1 category of cosmetic problem that takes time to fix.
Co-Authors A Adven Tonny A Feriyanto Abdi Darmawan Achmad Aldi Sakoni Adam Japal Adi Wijaya Admi Syarif Afdal Wahyu Prayuda Agus, Isnandar Aldi Mawaridi Aldi Mawaridi Ali Nasution Andry Ferianto anggalia wibasuri Anton Setiawan Anuar Sanusi Anuar Sanusi Arbi Gunawan ARDIANSYAH ARDIANSYAH Ari Rohmawati Arie Setya Putra Arman Suryadi Karim, Arman Suryadi Astri Agustiani Aziz, RZ. Abdul Bagus Yuda Pratama Baruna Wisnu Wardana Baskoro Baskoro Dani Apriansyah Danil, Sapni Della Niken Indriani Delli Maria Denny Prastiawan Destiawan Destiawan Dewi, Deshinta Arrova Dika Tondo W Diki Andita Kusuma Doni Andrianto Dworo, Dworo Dzaki Al Hafiz Eko Budi Wicaksono Eko Zulkaryanto Elis Malana Faurani Santi Singagerda Fauziah Zahra Ramadhani Febriana, Annisa Arsya Fely Dany Prasetya Fernando, Rhino Firdaus Chaniago Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Tri Wahyudi Fitria Fransiska, Devi Gumelar, Muhamad Agung Guntur Tiara Wahyu Hidayah Hafina Oktaviani handoyo widi nugroho Hardiansyah, Deni Hariyanto Wibowo Henderi . Hendri Purnomo Heri Nurdiyanto Herwanto, Riko Ismail, Abdul Azim Bin Isnaini Bastari Iwan Tri Bowo Kaesar Azra Putra Zeva Khristina Henny R Komang Wardiasa Kumala, Dian Agustin Arta Kurnia Muludi Kurniawan Kurniawan, Tri Basuki Laila, Siti Nur M. Arif Prayoga M. Arif Rifai M. Natsir Hendy Tri Putra M. Nugrahadi Rakhman M. Royan Fauzi Mahfut Maizary, Ary Marzuki Marzuki Melda Agarina Melda Agharina Muhammad Fahmi Hafidz Muhammad Haris Hermanto Mukhas Munif Ahsani Munaa Munaa Munaa, Munaa Mutiara, Suci Nathan Nurdadyansyah Nathan, Yogeswaran Netty Sefriyanti Nosiel Nosiel Novi Herawadi S Novi Herawadi Sudibyo Novi Herawadi Sudibyo, Novi Herawadi Novita Sari Nurfiana Nurfiana Nurhayati Nurhayati 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 Rahmalia Syahputri Rahmalia Syahputri Rahmalia Syahputri Ramadhani, Fauziah Zahra Rangga Firdaus Ratih Pratiwi Ratna Nurhaya Renita Dwi Astuti Ridho Kurniawan RIDHO KURNIAWAN, RIDHO Rio Gismara Rizky Yulizar Rahman Romadhoni, Nuzul Rahmat Rosandi, Triowali Ruki Rizal Sakoni, Achmad Aldi Sapni Danil Savitri, Ratna Selfiyana, Reva Setiyono . Sigit Andriyanto Singh, Harprith Kaur Rajinder Siswahyudianto Siti Khodijah Situmorang, Klaudia SB Sri Ratna Sulistiyanti Sutedi Sutedi Suwandi Tetra Praja Utama Tri Winarti Triloka, Joko Triowali Rosandy Wahyu Bintono Wasilah Wibaselppa, Anggawidia Widi Nugroho, Handoyo Winda Rika Lestari Y Verawati Y. Suhendro Yeh, Ming-Lang Yeni Purnamasari Yogi Maulana Yoni Hisbullah Yudha, Efrian Prama Yusuf, Suhendro Zainal A. Hasibuan Zakaria, Mohd Zaki