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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Simetris TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Indonesian Journal of Artificial Intelligence and Data Mining Applied Information System and Management Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL ILMIAH MAHASISWA AGROINFO GALUH SEIKO : Journal of Management & Business CYBERNETICS IJISTECH (International Journal Of Information System & Technology) Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) IJISTECH Jurnal Abdimas Kartika Wijayakusuma Nautical: Jurnal Ilmiah Multidisiplin Indonesia Jurnal Teknologi dan Manajemen Industri Terapan Edukasiana: Jurnal Inovasi Pendidikan eProceedings of Engineering Paradoks : Jurnal Ilmu Ekonomi Nuansa Informatika Informatics Management, Engineering and Information System Journal Electronic Integrated Computer Algorithm Journal Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Jurnal Pengabdian Bakti Akademisi SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Advance Sustainable Science, Engineering and Technology (ASSET) AQILA : Acceleration, Quantum, Information Technology and Algorithm Journal
Muharman Lubis
Universitas Telkom
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Android App to Measure Linguistic Intelligence of Elementary Students Muttaqin, Alif Noorachmad; Lubis, Muharman; Sandy, Muhammad Dwi Hary
Edukasiana: Jurnal Inovasi Pendidikan Vol. 4 No. 4 (2025)
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/ejip.v4i4.2009

Abstract

There is an opinion that the critical period of language development occurs between the ages of two years until puberty. During this period, especially around the age of six, children tend to avoid using passive vocabulary or complex sentence forms such as conditional commands. However, as they grow older, up to and even beyond the age of nine, their comprehension of grammatical structures and ability to process more complex linguistic forms gradually improves. Given the importance of this developmental window, formal educational institutions play a crucial role in fostering various types of student intelligence, including linguistic intelligence. Linguistic intelligence refers to the capacity to effectively use language to express thoughts, whether through speaking, reading, listening, or writing. This type of intelligence not only supports academic achievement but also enhances communication skills essential in daily life. In response to the need for effective tools in education, this study introduces the development of the LIAA (Linguistic Intelligence Assessment Android) application. This mobile-based application is designed to assist teachers in efficiently assessing and identifying the linguistic intelligence levels of elementary school students through a user-friendly and systematic digital platform.
Prediction of Turbidity Removal Time in Electrocoagulation Wastewater Using Random Forest, XGBoost, and Others: A Data-Driven Information System Approach Suakanto, Sinung; See, Tan Lian; Shaffiei, Zatul Alwani; Firdaus, Taufiq Maulana; Lubis, Muharman; Bayuwindra, Anggera
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4847

Abstract

Electrocoagulation is an effective and environmentally friendly technology for treating wastewater by removing contaminants such as turbidity, heavy metals, and organic compounds. Accurately predicting turbidity removal time is essential for optimizing treatment performance and operational efficiency. However, this is challenging due to complex, nonlinear relationships between multiple parameters including current, voltage, electrode configuration, conductivity, and turbidity removal rate. This study aims to develop a predictive framework by comparing six supervised regression models, namely Linear Regression, Polynomial Regression, Random Forest, Support Vector Regression (SVR), XGBoost, and Long Short-Term Memory (LSTM), using key electrocoagulation parameters. After extensive data preprocessing, a dataset of 281 samples was used for training and validation. Among them, Random Forest achieved the best performance (R² = 0.876, RMSE = 601.15). A data-driven information system is proposed to integrate these predictive capabilities for real-time monitoring and control. By improving turbidity prediction accuracy, the system enables the sustainable utilization of water as a valuable asset, even in its wastewater form. The approach enhances decision-making by providing intelligent feedback for process optimization. This research contributes to the advancement of intelligent, sustainable wastewater treatment systems by integrating machine learning prediction models with practical process control applications in informatics.
Studi Perbandingan Naïve Bayes dan Support Vector Machine (SVM) dalam Analisis Sentimen Pengguna Metaverse Parameswari, Sang Dara; Lubis, Muharman; Suakanto, Sinung; Ramadhan, Yumna Zahran; Amanah, Raisyah Nurul; Dila, Revyolla Ananta
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1122

Abstract

Penelitian ini bertujuan mengevaluasi persepsi publik di Indonesia terhadap isu metaverse melalui analisis sentimen berbasis text mining. Metaverse, yang memadukan media sosial, permainan daring, augmented reality (AR), virtual reality (VR), serta aset digital seperti cryptocurrency, semakin mendapat perhatian sejak pengumuman perubahan nama Facebook menjadi Meta pada tahun 2021 dan memunculkan beragam opini publik. Data diperoleh dari Twitter (X) dan dianalisis menggunakan dua algoritma klasifikasi teks, yaitu Naïve Bayes dan Support Vector Machine (SVM). Dalam penerapannya, Naïve Bayes menggunakan fungsi MultinomialNB, sedangkan SVM dijalankan dengan LinearSVC yang lebih sesuai untuk data teks berdimensi tinggi. Hasil penelitian menunjukkan bahwa SVM memberikan kinerja lebih baik dengan akurasi 78,3% dan Macro-F1 78,3%, dibandingkan Naïve Bayes yang memperoleh akurasi 72,4% dan Macro-F1 sebesar 60,2%. Selain itu, SVM lebih seimbang dalam mengenali seluruh kelas sentimen, khususnya kategori negatif, sementara Naïve Bayes tetap relevan sebagai baseline karena kesederhanaan dan efisiensinya. Penelitian ini berkontribusi dalam menyajikan perbandingan komparatif kedua algoritma pada analisis sentimen metaverse di Indonesia, sekaligus membuka ruang bagi pengembangan metode yang lebih mutakhir pada studi berikutnya.
Never Overlook Security Awareness on Deployment Sadewa, Rizki; Lubis, Muharman; Nuryatno, Edi Triono
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 1 (2024): VOLUME 1, NO 1: JUNE 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i1.25

Abstract

Since preliminary evidence supports the association between security culture and information security awareness (ISA), more research is needed to determine how it interacts with organizational culture. Beyond variations in respondent nation or gender, the study's findings also demonstrate an association between stronger cyber expertise and level of cyber awareness. Additionally, awareness is linked to defense mechanisms but not the information they were willing to divulge.  People play an even more important role in the collaboration between those teams and the security team when security is incorporated into DevOps practices. Furthermore, security is crucial when creating essential systems since it allows us to control objectives, risks, and evidence. Labor only starts after implementing security into the DevOps toolchain. To establish a security culture, we are additionally required to start with behavioral alterations. One of the largest Sharia banks in Indonesia anticipated cyberattacks in 2023, demonstrating to us how crucial security is in the modern world. Although no one could claim that using one of the security solutions would guarantee absolute safety, information security technology is quite dynamic. Future studies could improve on the current findings by taking into account national culture. This study has the aim of proving that we are never satisfied by current security maturity even if you or your company is implementing the best security tools, because the vulnerability can come from that deployment and wherever the environment itself.
The Role of Information and Communication Technology in Islamic Education: Challenges and Opportunities Shafira Fatimah Azzahra; Lubis, Muharman
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 1 (2024): VOLUME 1, NO 1: JUNE 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i1.26

Abstract

In this paper, the role of information and communication technology (ICT) in Islamic education is analyzed with an emphasis on the challenges and opportunities it presents. ICT can increase access to Islamic knowledge, improve teaching methods, and encourage participatory learning. It is necessary to handle issues including restricted infrastructure, the requirement to maintain high-quality Islamic material online, and cultural and religious sensitivity in online learning settings. ICT presents several opportunities for Islamic education, including the use of multimedia and interactive tools for teaching Islamic concepts, facilitating global reach and accessibility through online platforms, and fostering collaboration and knowledge-sharing among educators and scholars. To evaluate the effect of ICT on Islamic education, qualitative research using content analysis was carried out. The results draw attention to issues including the limitations of ICT infrastructure, the need for high-quality online information, the necessity of good ICT training for teachers, and cultural and religious considerations. ICT also offers chances for improved Quranic study, worldwide cooperation, ongoing learning outside of the classroom, and expanded access to Islamic information. In order to use ICT to enhance Islamic education, this study intends to provide useful insights for educational practitioners and policymakers.
User Satisfaction Analysis of Academic Information System Using End-User Computing Satisfaction (EUCS) Nurdin, Ali; Lubis, Muharman
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 2 (2024): VOLUME 1, NO 2: DECEMBER 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i2.42

Abstract

Galuh University Academic Information System (SIAKAD) is an information system that supports the academic activities of students, lecturers and employees within Galuh University. As a system that is in direct contact with its users. It is essential to focus on quality of the system utilised by users on a regular basis since the interaction between the system and humans is ideal when both parties give stimuli and reactions (actions & reactions) that support each other, if only If it takes place in one direction, the interaction will experience obstacles or even goal bias. The research was conducted to identify user satisfaction levels who use the system. The elements that determine user satisfaction with academic information systems were examined using the End-User Computing Satisfaction (EUCS) model approach. Data was gathered by observation, interviews, literature research, and questionnaires distributed to Galuh University academic information system users. Based on the existing theoretical basis, statistical analysis was carried out through statistical tests, Specifically, simple linear regression tests were conducted using the SPSS application. The research results showed that the five variables had a significant positive influence on user satisfaction of academic information systems, but the ease of use variable had a significant contribution. the highest was 59.4% for user satisfaction In comparison to other variables like content, accuracy, format, and timeliness, although overall the influence of these variables was still at a moderate level of influence. The research results also recommend updates to the information system to increase user satisfaction.
Developing the Knowledge Management System Framework in National Company: A Case Study of XYZ Company in Indonesia Nurdin, Ali; Lubis, Muharman; Abdullah Muhammad, Hasan; Naufal Wirawan, Muhammad; Addini Firdaus, Fitri
Acceleration, Quantum, Information Technology and Algorithm Journal Vol. 1 No. 2 (2024): VOLUME 1, NO 2: DECEMBER 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/aqila.v1i2.43

Abstract

The Knowledge Management Application facilitates a medium for knowledge exchange, Its skills facilitate the acquisition of individuals' experiences and knowledge. Knowledge management tools are essential in large corporations, especially in enterprise organizations (private companies), in facilitating the retention and effective communication of pertinent information among staff members. Private enterprises often own substantial data and information in perpetually updatable formats that can be effectively leveraged to enhance the organization's knowledge and operational operations. Nevertheless, recent studies have revealed that knowledge management (KM) is still in its nascent phase for most private enterprises in Indonesia. The performed work investigated the existing Key Management Activities in a private company in Indonesia, with a specific focus on XYZ Company as the case study. Ac-cording to the evaluation, XYZ Company has not yet started constructing a specific Knowledge Management System (KMS), despite putting significant effort into developing core application systems to cover important business activities. Thus, the work introduces the structure for the growth of KMA in the organization.
Revealing User Perception and Mental Model in My Tel-U Apps: A UX and Integrated Method Muttaqin, Alif Noorachmad; Lubis, Muharman; Handayani, Dini; Zamzami, Ikhlas Fuad
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46667

Abstract

My Tel-U app user experience and usability were tested using a mixed-methods design with both quantitative and qualitative measurements. User experience was measured quantitatively using the User Experience Questionnaire (UEQ), as well as general satisfaction assessed by the Customer Satisfaction Score (CSAT), and task-based usability testing to evaluate actual user interaction. Thirty participants from different faculties and levels of study at Telkom University joined to experience various digital exposures and acclimate their behaviour to the application. UEQ results indicate overall positive attitudes across all six scales, with Perspicuity, Attractiveness, and Dependability achieving the highest scores. CSAT was 90%, indicating that most users were satisfied or very satisfied with the application. Although task accomplishment increased, usability testing revealed that problems such as slowness, poor navigation organization, and inadequate system feedback persisted. Open-ended questions confirmed similar issues, such as core functionality like grade viewing and attendance tracking, as well as ongoing concerns about performance and reliability. These results indicate that, although the application adheres to functional requirements, user support, response time, and clarity may need improvement in certain aspects. This research contributes to an integrative UX evaluation model by incorporating perceptual, emotional, and behavioural measures. The results provide positive feedback to developers and institutional stakeholders, justifying priorities for alterations that will make the My Tel-U app more accessible, user-friendly, and support long-term usage on the online learning platform.
Classification of University IT Helpdesk Tickets Using Support Vector Machine with Hyperparameter Optimization Yulio Ferdinand; Lubis, Muharman; Pratiwi, Oktariani Nurul
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 4 (2025): NOVEMBER (In Press)
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i4.2413

Abstract

The classification of IT helpdesk tickets is crucial for improving response efficiency in service management systems, particularly within academic institutions. However, the process is still mostly manual, increasing the risk of misclassification. This study explores the use of the Support Vector Machine (SVM) algorithm with four kernel functions —RBF, Linear, Polynomial, and Sigmoid —to automate the classification of service tickets submitted by users. The dataset was sourced from the Telkom University service desk application database, covering 2023 and 2024, and comprises 13,508 records across nine service categories. Preprocessing steps such as stemming, stopword removal, and TF-IDF feature extraction were applied before model training and evaluation. The RBF kernel achieved the highest accuracy at 85.04%, followed by Linear at 80.64%, Sigmoid at 75.94%, and Polynomial at 63.69%. The internet access category had the best classification performance across all kernels, with RBF and Linear achieving F1-scores of 90% and 89%, respectively. The request data category also showed consistently strong results with F1-scores above 80%. Misclassifications were mainly due to overlapping vocabulary, data imbalance, and limited semantic variation in ticket descriptions. The results indicate that the RBF kernel is most suitable for this multi-class classification task. This study highlights the effectiveness of machine learning in improving helpdesk automation and provides a basis for future enhancements, such as incorporating semantic-rich features and addressing class imbalance. Notably, this research contributes a comparative analysis of different SVM kernel performances, which has not been extensively explored in previous research.
Co-Authors Abdullah Muhammad, Hasan Achmad Rafi Addini Firdaus, Fitri Adillah, Muhammad Fauzan Nur Adinda Laras Ayu Adityas Widjajarto Agus Ambarwari Agustiana, Nathifa Ahmad Musnansyah Akbar Habib Buana Wibawa Putra Akbar Nurwahyu Arifin Putra Al Khowarizmi Ali Nurdin Ali Nurdin Alvan Kamal Amanah, Raisyah Nurul Amri Amri Amril, Salsabila Zahrani Annastasia, Syifa Asriana Asriana, Asriana Asti Amalia Nur Fajrillah Bayuwindra, Anggera Deden Witarsyah Dhiya Fathia Dika, Dafa Dinda Bayu Rama Dila, Revyolla Ananta Dinayatullah, Ledi Dini Handayani, Dini Dini Oktarina Dwi Handayani DM, Burhanis Sulthan Dwi Hary Sandy, Muhammad Dzakiyyah Al Kaazhim Edwinsyah, Muhammad Ega Mardoyo Ega Mardoyo Erlangga, Faezal Fadilah, Zikri Fakhrurroja, Hanif Farhana Zahra Farid Farid, Farid Farma, Junia Faza, Sharfina Febriyani, Widia Firdaus, Taufiq Maulana Fitrah Khairi Fitriyana Dewi Fonna, Rizki Putri Nurita Gabriel Ardi Hutagalung Galih Rashif Husaini Ghifari, Muhamad Yazid Gunawan, Dian Habibi Ramdani Safitri Hafiizh Maulana Halim, Hendra Harefa, Hafid Rahman Hermawan, Fairuz Fernanda Hikmah Adwin Adam Humairo, Annisa Idham Kamil Ikbar, Thoriq Ikhlas Fuad Zamzami Ikhsan, Alif M. Ilham Ramadhan Nasution Iqbal Santosa Irvan, Irvan Jihan Audia Mulya Julham Julham Julham Julham Kahirul Umam, Irhan Kartini, Ani Laily Indaryani Lubis, Arif Ridho Lubis, Fahdi Saidi Lukman Abdurrahman Lukmanul Hakim Lukmanul Hakim M. K. Rizal Syahputra M. Shabri Abd. Majid Matias Garcia Constantino Matias Garcia-Constantino Mhd Faris Pratama Mira Kartiwi Mochamad Hariadi Mochamad Yudha Febrianta Muhammad Dwi Hary Sandy Muhammad Haikal Fasya Muhammad Luthfi Hamzah Muhammad Mahendra Muhammad, Hasan Abdullah Muhdiantini, Cindy Mulhartono, Tomi Muttaqin, Alif Noorachmad Nabiel Muhammad Al Ghazali Naufal Wirawan, Muhammad Neca Aqila Nelsa, Putri Nguyen Kieu Trang Ni Made Purnami Noorachmad Muttaqin, Alif Nur Ichsan Utama Nurlina, Eka Nurma Sari, Nurma Nuryatno, Edi Triono Nusantara, Abdul Hakim Satria Oktariani Nurul Pratiwi Paradita, Anggraeni Xena Parameswari, Sang Dara Paramita, Paramita Possumah, Mercy Kristina Prahastiwi, Narita Ayu Prayoga, Danar Prayudani, Santi Putri Luthfiah Harmaya Qadhli Jafar Adrian R. Wahjoe Witjaksono Rafian Ramadhani Rafian Ramadhani Rahadhitya Anuraga Raharjo, Adi Rahmat Fauzi Rahmat Mulyana Rahmat, Hadian Raied Ali Alqahtani Rakan, Raihan Ramadhan, Yumna Zahran Rayhan Rafael Rafsanjani Romi Fadillah Rahmat Sadewa, Rizki Sahidan Abdulmana Sandy, Muhammad Dwi Harry Sandy, Muhammad Dwi Hary Sarah Purnamawati Satria Nusantara, Abdul Hakim See, Tan Lian Shaffiei, Zatul Alwani Shafira Fatimah Azzahra Silvia, Vivi Sinung Suakanto Siregar, Fachrul A Sonny Zulhuda Supeno Mardi Susiki Nugroho, Supeno Mardi Susetyo Bagas Bhaskoro Syah, M. Edwin Syahrizal, Teuku Muhammad Taufiq Carnegie Dawood Thoriq Ikbar Tien Fabrianti Kusumasari Umar Yunan Kurnia Septo Hediyanto Umuri, Khairil Vega Putra Pradana Vreseliana Ayuningtyas Wihayanti, Titik Wirawan, Muhammad Naufal Yani, Mega Fitri Yulio Ferdinand Yuyun Yusnida Lase Zamzami, Ikhlas Fuad Zulkifli Zulkifli