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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 INFOTEL Journal of Digital Literacy and Volunteering Journal of Digital Literacy and Volunteering Journal of Digital Market and Digital Currency
M Said Hasibuan
Institut Informatika Dan Bisnis Darmajaya
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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The Classification Method is Used for Sentiment Analysis in My Telkomsel Hardiansyah, Deni; Aziz, RZ Abdul; Hasibuan, Muhammad Said
International Journal of Artificial Intelligence Research Vol 8, No 2 (2024): December 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i2.1229

Abstract

User reviews significantly impact how mobile apps are perceived and provide developers with valuable insights into improving the functionality and quality of their products. Sentiment analysis of these evaluations helps identify the main issues faced by consumers, such as technical difficulties, costs, and service levels. The main objective of this study is to classify user sentiment into positive and negative categories, focusing on the MyTelkomsel app. With the use of Google Play Scraper, 39,493 reviews on various app versions and user experiences were collected. This data was analyzed using multiple machine learning models, including Support Vector Machines (SVM), Naive Bayes, Random Forest, and Gradient Boosting, alongside the Natural Language Processing (NLP) approach. The results show that 39.2% of the reviews are positive, while 60.8% reflect negative sentiment. Among the models, SVM showed the highest accuracy in sentiment classification with a value of (0.854792), while Naive Bayes (0.775541), Random Forest (0.829725), and Gradient Boosting (0.819344) also performed well in sentiment classification. These findings suggest that developers can leverage the insights gained from this analysis to proactively improve the performance and user experience of the MyTelkomsel app, by addressing technical and service-related issues identified in user reviews.
An Artificial Neural Network-Based Geo-Spatial Model for Real-Time Flood Risk Prediction Using Multi-Source High-Resolution Data Aziz, RZ Abdul; Nurpambudi, Ramadhan; Herwanto, Riko; Hasibuan, Muhammad Said
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.913

Abstract

Flood prediction presents a pressing challenge in disaster management, especially in regions vulnerable to extreme weather events. In response, this study offers a novel approach to flood risk prediction by developing a deep learning-based Geo-Spatial Artificial Neural Network (ANN). The model actively integrates high-resolution satellite imagery, meteorological data, and topographic indicators, such as rainfall, elevation, and land use to capture complex spatial and environmental relationships that influence flood risk. This study conducted data preprocessing using Principal Component Analysis (PCA) and normalization to ensure consistency across datasets. It built the ANN with multiple hidden layers and trained it using the backpropagation algorithm on historical flood data. Furthermore, it designed the ANN model with multiple hidden layers and trained it using the backpropagation algorithm. The model achieved a notable 92% prediction accuracy, significantly outperforming traditional flood prediction methods, which typically yield 75–85% accuracy. Conventional metrics were Mean Squared Error (1.41) and R-squared (0.94). It confirmed the model’s superior ability to predict high-risk flood zones. The model also effectively captured non-linear patterns that conventional statistical or deterministic methods often failed to detect. The results showed that the model generalizes well and adapts effectively, making it suitable for real-time and data-driven flood forecasting. By integrating artificial intelligence with geo-spatial analytics, this study offers a scalable, accurate, and efficient tool for early warning systems and risk management. It recommends that future research should focus on incorporating additional data sources and refining model training techniques to further enhance scalability and performance.
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.
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.
Analisis Tingkat Kematangan Keamanan Informasi Menggunakan Indeks KAMI pada Tiyuh Pulung Kencana R, Khristina Henny; Hasibuan, M. 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.v2i1.78

Abstract

Everyone must adapt quickly if they don't want to be left behind due to very rapid and significant technological developments. All institutions in Indonesia must also apply information technology to expedite and make their activities more effective and fulfill their duties and functions in implementing work programs. For this reason, the role of information security is very important to maintain the confidentiality, integrity and availability of information for the public and service interests. Based on the conditions described above, it is important to carry out a SID (Village Information System) assessment to determine the maturity and completeness of data security. Tiyuh Pulung Kencana Village in Tulang Bawang Tengah District, West Tulang Bawang Regency is the object of this research. This village or Tiyuh is one of the villages that has implemented SID effectively in the implementation of the Lampung Province Smart Village Program. The Information Security Index (KAMI) is used in Tiyuh Pulung Kencana, Tulang Bawang Tengah District, West Tulang Bawang Regency, to assess the completeness and maturity of the information security system. Document analysis and interviews with related parties are the qualitative methods used. The results of the KAMI index research show that Tiyuh Pulung Kencana relies heavily on electronic systems, but steps to protect information are still just starting (only in the initial stages). Therefore, Tiyuh Pulung Kencana must improve its information security practices by creating policies and procedures that comply with IT/IS standards and resource readiness.
Penerapan Gaya Belajar Kolb, Honey And Mumford, Felder Silverman, Vark: Study Empiris pada Mahasiswa Pendidikan Teknologi Informasi IIB Darmajaya Febriana, Annisa Arsya; Sari, Novita; Kumala, Dian Agustin Arta; Selfiyana, Reva; Hasibuan, Muhammad Said
Journal of Digital Literacy and Volunteering Vol. 3 No. 1 (2025): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v3i1.134

Abstract

Learning styles play a significant role in shaping the learning process of each individual. This study employs a descriptive qualitative approach and involves 15 students from the Information Technology Education Study Program, consisting of 7 male and 8 female participants. Data were collected using four learning style questionnaires: VARK, Kolb’s Learning Style Inventory, Honey and Mumford’s Learning Styles Questionnaire, and the Felder-Silverman Learning Style Model. The objective of this research is to broaden instructional strategies by incorporating learning styles that align with students’ preferences. The findings underscore the importance of utilizing teaching methods that are congruent with students’ learning preferences to enhance academic achievement.
Karakteristik Gaya Belajar: (Studi Empiris Pada Mahasiswa Pendidikan Teknologi Informasi Iib Darmajaya) Khodijah, Siti; Situmorang, Klaudia SB; Nuryana, Sapta Adi; Hasibuan, Muhammad Said
Journal of Digital Literacy and Volunteering Vol. 3 No. 1 (2025): January
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v3i1.135

Abstract

This study aims to describe the characteristics of students towards aspects of 4 different learning styles, Perceptions of VARK, Felder Silverman, Kolbs and Honey and Mumford learning styles. The population in this study were students of the Information Technology Education Study Program at the Darmajaya Institute of Informatics and Business with a total of 25 students, This study had 15 participants with a percentage of Men (46.6%) and Women (53.4%), in addition there were 10 students who did not participate in this study. Data were collected through questionnaires which were then analyzed using descriptive statistics. The results of the study showed differences in each individual who has a variety of learning styles, for that understanding a learning style can make it easier for students to implement learning strategies that are of interest according to their wishes so that Information Technology Education students can increase creativity and effectiveness to improve learning achievement.
Market Analysis of NFT Integration in Video Games Hasibuan, Muhammad Said; Putra, Arie Setya; Syarif, Admi; Mahfut; Sulistiyanti, Sri Ratna
Journal of Digital Market and Digital Currency Vol. 2 No. 2 (2025): Regular Issue June 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v2i2.33

Abstract

The integration of Non-Fungible Tokens (NFTs) into the gaming industry has introduced a novel economic model, reshaping monetization strategies and player engagement. This paper analyzes the market potential of NFT integration in video games through a comprehensive approach combining market segmentation, trend analysis, and predictive modeling. Using historical sales data from various genres and platforms, the research identified key segments that show high potential for NFT adoption, particularly action, role-playing, and sports games on mainstream platforms such as PlayStation and Xbox. The market segmentation, achieved through K-Means clustering, revealed distinct groups of video games based on genre, platform, and regional sales performance. Trend analysis using time series models like ARIMA and Prophet highlighted emerging and declining popularity across different genres and platforms. The study also applied predictive modeling techniques, including Random Forest and Gradient Boosting, to forecast the potential success of NFTs in specific game genres. The models demonstrated strong performance, with low mean absolute error (MAE) and root mean squared error (RMSE), confirming that high-engagement genres are likely to benefit most from NFT integration. The findings suggest that NFTs can enhance player experiences by offering unique, tradable in-game assets, thus creating new revenue streams for developers. The paper concludes by recommending strategies for NFT implementation, targeting high-potential genres and platforms, and addressing regional market preferences. Limitations related to data constraints and emerging trends are discussed, and future research directions are proposed, focusing on consumer sentiment analysis and real-world case studies of NFT integration in video games.
Co-Authors A Adven Tonny A Feriyanto Abdi Darmawan Achmad Aldi Sakoni Adam Japal Adi Wijaya Admi Syarif Afdal Wahyu Prayuda Agus, Isnandar Al Hafiz, Dzaki Ali Nasution Andry Ferianto anggalia wibasuri 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 Chaniago, Firdaus Dani Apriansyah Danil, Sapni Delli Maria Denny Prastiawan Destiawan Destiawan Dewi, Deshinta Arrova Dika Tondo W Diki Andita Kusuma Doni Andrianto Dworo, Dworo Eko Budi Wicaksono Eko Zulkaryanto Elis Malana Fauziah Zahra Ramadhani Febriana, Annisa Arsya Fely Dany Prasetya Fernando, Rhino Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Tri Wahyudi Fitria Fransiska, Devi Gismara, Rio Gumelar, Muhamad Agung Guntur Tiara Wahyu Hidayah handoyo widi nugroho Hardiansyah, Deni Hariyanto Wibowo Henderi . Hendri Purnomo Hermanto, Muhammad Haris Herwanto, Riko Indriani, Della Niken Ismail, Abdul Azim Bin Isnaini Bastari Iwan Tri Bowo Kaesar Azra Putra Zeva Khristina Henny R Kumala, Dian Agustin Arta Kurnia Muludi Kurniawan Kurniawan, Tri Basuki Kusuma, Rizfan Radya Widyan Aditya 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 S Novi Herawadi Sudibyo Novi Herawadi Sudibyo, Novi Herawadi Novita Sari Nurdiyanto, Heri Nurfiana Nurfiana Nurhayati Nurhayati Nurpambudi, Ramadhan Nuryana, Sapta Adi Oktaviani, Hafina Onno W Purbo Periasamy, Jeyarani Pratama, Bagus Yuda Pratama, Tomy Adi Prayoga, M. Arif Prayuda, Afdal Wahyu Prilian Ayu Winarni Purbo, Onno W Putra, M. Natsir Hendy Tri R Rizal Isnanto R, Khristina Henny Rahmalia Syahputri Rahmalia Syahputri Rahmawati, Lilla Rakhman, M. Nugrahadi 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 Rosandy, Triowali Ruki Rizal Sakoni, Achmad Aldi Sapni Danil Saputra, Agus Savitri, Ratna Selfiyana, Reva Setiawan, Anton Setiyono . Sigit Andriyanto Singagerda, Faurani Santi Singh, Harprith Kaur Rajinder Siswahyudianto Siti Khodijah Situmorang, Klaudia SB Sri Ratna Sulistiyanti Suci Mutiara Sutedi Sutedi Suwandi Tetra Praja Utama Tri Winarti Triloka, Joko Wahyu Bintono Wardiasa, Komang Wasilah Wibaselppa, Anggawidia Widi Nugroho, Handoyo Winda Rika Lestari Y Verawati Y. Suhendro Yeh, Ming-Lang Yeni Purnamasari, Yeni Yogi Maulana Yoni Hisbullah Yudha, Efrian Prama Yusuf, Suhendro Zainal A. Hasibuan Zakaria, Mohd Zaki