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All Journal SAMUDERA Jurnal Informatika dan Teknik Elektro Terapan e-Jurnal Arus Elektro Indonesia Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System JOURNAL OF APPLIED INFORMATICS AND COMPUTING METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Journal on Education Jurnal Informatika Kaputama (JIK) JATI (Jurnal Mahasiswa Teknik Informatika) STEAM Engineering : Journal of Science, Technology, Education And Mechanical Engineering MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Medika Teknika : Jurnal Teknik Elektromedik Indonesia Jurnal Sistem Informasi dan Sains Teknologi Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Engineering, Science and Information Technology Jurnal Tika Malikussaleh Journal of Mechanical Science Technology Jurnal Abdi Masyarakat Indonesia Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Mandiri IT Jurnal Janitra Informatika dan Sistem Informasi Jurnal Minfo Polgan (JMP) Journal of Renewable Energy, Electrical, and Computer Engineering Journal Of Human And Education (JAHE) Jurnal Pendidikan dan Pembelajaran Jurnal Sains dan Teknologi Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Mafaza : Jurnal Pengabdian Masyarakat INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Saree : Research in Gender Studies Innovative: Journal Of Social Science Research Jaliye: Jurnal Abdimas, Loyalitas, dan Edukasi Jurnal Malikussaleh Mengabdi Jurnal Polimesin PUSAKA: Jurnal Pengabdian Masyarakat Indonesian Journal of Technical and Vocational Education Training Jurnal Pendidikan Teknik Mesin Jurnal Informatika Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Jurnal Ilmu Komputer Aceh ITEJ (Information Technology Engineering Journals) Jurnal Pengabdian Masyarakat Teknologi Informasi (PERANTI)
Taufiq Taufiq
Universitas Malikussaleh
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Pengaruh Quizizz terhadap Hasil Belajar Teori Pelajaran Produktif Siswa Otomotif di SMK Negeri 1 Muarabatu Islami Fatwa; Taufiq Taufiq
DIAJAR: Jurnal Pendidikan dan Pembelajaran Vol. 5 No. 1 (2026): Januari 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/diajar.v5i1.7106

Abstract

This research stemmed from the ineffectiveness of teaching theory in automotive productivity lessons. Traditional methods were used, resulting in suboptimal student outcomes. This suggests the need for new learning approaches, such as game-based digital assessments. This approach aligns with the characteristics of vocational schools and the needs of 21st-century learning. The purpose of this research was to determine the influence of the Quizizz platform on the theoretical learning outcomes of automotive students at SMK Negeri 1 Muarabatu. This research employed a quantitative method with a one-group pretest-posttest pre-experimental design. Thirty eleventh-grade Automotive Engineering students participated. Data were collected using standardized tests before and after using Quizizz. The data were then analyzed using paired-sample t-tests using statistical software. The analysis showed an increase in students' average score from 62.40 (pretest) to 82.10 (posttest). The statistical test showed a t-value of 9.27 with a significance of p < 0.05. This indicates a significant difference between learning outcomes before and after using Quizizz. These results demonstrate that Quizizz has a positive and significant impact on improving theoretical learning outcomes in automotive productivity courses. From an educational perspective, these research findings underscore the importance of developing digital learning with interactive assessments. The goal is to make students more active, motivated, and improve their learning outcomes. This aligns with vocational education, which keeps pace with technological developments and 21st-century learning needs.
ANALISA PERBEDAAN KINERJA MESIN MENGGUNAKAN ELECTRONIC CONTROL UNIT (ECU) TIPE STANDAR DAN TIPE RACING PADA SEPEDA MOTOR BEAT 2016 M Azkal Azkia; Taufiq; Islami Fatwa; Abubakar; Jumadi
Jurnal Pendidikan Teknik Mesin Vol. 12 No. 2 (2025): Jurnal Pendidikan Teknik Mesin
Publisher : Program Studi Pendidikan Teknik Mesin Fakultas Keguruan dan Ilmu Pendidikan Universitas Sriwiajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jptm.v12i2.267

Abstract

This study aims to analyze the impact of using standard and racing Electronic Control Units (ECUs) on the performance of the 2016 Honda Beat motorcycle engine, particularly in terms of power, torque, and fuel consumption. Tests were conducted using a dynamometer to measure power and torque, and a fuel flow meter to measure fuel consumption across the engine speed range up to 9000 RPM. The results show that the Juken 5 ECU (racing type) significantly increases power and torque compared to the standard ECU across the entire RPM range tested, with power increases of up to 1.5 HP and torque of 1.4 Nm at high RPM. Fuel consumption time for the Juken 5 ECU is also more efficient than the standard ECU, although fuel consumption is higher. This study describes the performance comparison between the two types of ECUs and their implications for performance and fuel efficiency, and recommends the use of racing ECUs for applications requiring high performance.
Design and Construction of a Plastic Bottle Waste Collector Integrated with a Microcontroller-Based IoT System M Furqan; Misbahul Jannah; Taufiq Taufiq; Salahuddin Salahuddin; Dedi Fariadi
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 5 No. 1 (2025): March 2025
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v5i1.19931

Abstract

Automatic garbage cans use ultrasonic sensors to automate manual garbage cans to make it easier for people to dispose of garbage and increase awareness of environmental cleanliness. Automatic bins using ultrasonic sensors are controlled via microcontrollers. In the design of Plastic Bottle Waste Collection Equipment Integrated with a Microcontroller-Based IoT System, several stages of research were carried out: literature study, system design and implementation, and system testing. The process of  Plastic Bottle Waste Collection Equipment Integrated with a Microcontroller-Based IoT System is that when a person puts plastic bottle waste into the plastic bottle waste collection device,  the load cell will weigh the weight of the bottle waste. Next, the data is processed by Arduino Uno, and then I press the push button to print the generated data. Press the push button II to drop the plastic bottle waste into the garbage bin. From the results of testing the weight of plastic bottle waste using a load cell, it can be concluded that it works well. And the difference in the accuracy of the weight of plastic bottle waste using a load cell with a digital scale of 0.01 > 0.05 Kg.
Analysis of the Efficiency and Performance Effectiveness of Srikandi Application Using the UTAUT Model and Delone & Mclean Wawan Syahputra; Dahlan Abdullah; Nurdin Nurdin; Muhammad Daud; Taufiq Taufiq
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1806

Abstract

The development of information technology has encouraged the government to carry out digital transformation in administrative governance, one of which is through the implementation of the SRIKANDI Application (Integrated Dynamic Archive Information System). This application is designed to support the management of electronic archives and correspondence integrated across government agencies. This study aims to analyze the efficiency and effectiveness of the SRIKANDI Application in supporting government administration, focusing on service speed, documentation accuracy, and resource efficiency. The method used in this study is a mixed methods approach with a sequential explanatory design. Quantitative data were collected by distributing questionnaires to employees who used the application to assess perceptions of efficiency and effectiveness. Furthermore, qualitative data were obtained through in-depth interviews and document analysis to delve into the quantitative findings and explore contextual factors that influence application implementation. Data analysis is carried out in stages, starting with descriptive and inferential statistical analyses for quantitative data and with thematic analysis for qualitative data. This research is expected to contribute to the development of an electronic government system and serve as a reference for evaluation and policymaking related to bureaucratic digitalization. In addition, the results of this study are also expected to strengthen the literature on the effectiveness of government information systems and provide an empirical picture of the practice of implementing the SRIKANDI Application in government agencies.
PENGEMBANGAN MESIN PENGIRIS SINGKONG DENGAN MENGGUNAKAN PIRINGAN GERGAJI SEBAGAI DUDUKAN PISAU PEMOTONG Nursyafri Hafniza; Islami Fatwa; Abubakar Abubakar; Taufiq Taufiq; Munzir Absa
Steam Engineering Vol. 7 No. 2 (2026): STEAM Engineering, Vol. 7, No. 2, Maret 2026
Publisher : Program Studi Pendidikan Teknik Mesin, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37304/jptm.v7i2.22848

Abstract

The increasing number of large companies entering the cassava chips production industry has raised concerns among small-scale producers. This is due to the fact that large-scale manufacturers are capable of producing and marketing their products on a mass scale, while small producers still rely on manual processes, such as peeling cassava and draining it after frying. Such manual methods require a considerable amount of time and labor, which consequently limits the production capacity of small-scale businesses. Therefore, the design and innovation of an automatic cassava slicing machine can serve as an alternative production tool for small-scale cassava chip producers. The automatic cassava slicer is expected to improve the productivity level of these producers. The lengthy process of slicing cassava manually has been a major obstacle in increasing production output. The objective of this research is to design the stages of the manufacturing process of an automatic cassava slicing machine and to conduct testing of the machine using a circular saw blade as the cutter holder. The type of research applied is experimental. The results of this study on the development of the cassava slicing machine using a circular saw blade are as follows: The cassava slicing machine employs a circular saw blade as the cutting tool and is powered by an electric motor with specifications of 220V~50Hz, 125W output power, and 1.55A input current. The machine is capable of producing 600 grams of sliced cassava per minute. The total cost required for manufacturing the machine using a circular saw blade is IDR 751,000. Based on the feasibility test conducted with two media experts, it was found that the ergonomics aspect scored 84%, the technical aspect scored 86.6%, and the aesthetic aspect scored 70%. Thus, the overall feasibility percentage reached 82%, indicating that the cassava slicing machine is considered suitable for use.
Analysis of Customer Churn Classification for Sinarmas Syariah Lhokseumawe Insurance Services Using Deep Learning Tabnet and Explainable AI Syarifah Muliana; Taufiq Taufiq; Munirul Ula
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12864

Abstract

Customer churn is a major challenge in the insurance industry because it directly affects customer retention, business sustainability, and company profitability. Early identification of customers at risk of churn is therefore essential for developing effective retention strategies. This study proposes an interpretable customer churn prediction framework for Sinarmas Syariah Lhokseumawe Insurance Services by integrating TabNet deep learning with Shapley Additive Explanations (SHAP). The dataset consists of 2,000 customer records containing demographic information, insurance transactions, premium payments, claims history, and customer interaction data. Due to the imbalanced class distribution, the Synthetic Minority Oversampling Technique (SMOTE) was applied exclusively to the training dataset to improve model learning while preventing data leakage. Model performance was evaluated using Accuracy, Precision, Recall, F1-Score, and ROC-AUC metrics. The experimental results demonstrate that the proposed approach achieved an accuracy of 98.77%, precision of 86.67%, recall of 92.86%, F1-score of 89.66%, and ROC-AUC of 0.995, indicating excellent classification performance. Furthermore, SHAP analysis revealed that communication, premi_2025, and reason_to_purchase were the most influential features affecting churn predictions. These findings highlight the importance of customer engagement, premium management, and purchasing motivations in customer retention. The proposed TabNet-SHAP framework provides both high predictive performance and model interpretability, making it a valuable decision-support tool for customer retention strategies in the insurance sector.
Clustering Analysis of Cocoa-Producing Areas Using the Gaussian Mixture Model Algorithm (A Case Study in Southeast Aceh Regency) Pathia Pathia; Taufiq Taufiq; Sujacka Retno
ITEJ (Information Technology Engineering Journals) Vol. 11 No. 1 (2026): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/93m0r329

Abstract

This study aims to identify and cluster agricultural areas in Southeast Aceh Regency using the Gaussian Mixture Model (GMM) algorithm. The dataset consists of village-level agricultural data, including land area, production volume, productivity, and the number of farmers. To ensure comparability across variables, Z-Score normalization was applied. The optimal number of clusters was determined using the Bayesian Information Criterion (BIC), resulting in three distinct groups: high, medium, and low production areas. Clustering performance was evaluated using the Silhouette Score (0.3893) and the Davies-Bouldin Index (0.8548), indicating moderate clustering quality with reasonable separation between clusters. To improve accessibility and practical use, a web-based information system was developed to visualize agricultural data, clustering outcomes, and evaluation metrics interactively. These findings highlight the value of GMM-based machine learning in supporting data-driven decision-making and prioritizing agricultural development efforts by local governments.
Comparative Analysis of Random Forest and Long Short-Term Memory for Predicting Optical Power Degradation in FTTH Networks Hermansyah Hermansyah; Taufiq Taufiq; Defry Hamdhana; Munirul Ula; Muhammad Ikhwanus
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13717

Abstract

Fiber-to-the-Home (FTTH) networks are widely used to provide high-speed broadband services, but optical power degradation can reduce network performance and service quality. This study compares Random Forest (RF) and Long Short-Term Memory (LSTM) for predicting FTTH network conditions classified as Normal, Warning, and Critical. The study used 63,145 historical records collected from 58 Optical Network Terminals (ONTs) between March and May 2026. To provide a fair comparison, RF was trained using engineered tabular features, including lag and rolling-window statistics, while LSTM used six-step sequential data representing approximately the previous six hours. Model performance was evaluated using accuracy, precision, recall, F1-score, Mean Absolute Error (MAE), Root Mean Square Error (RMSE), training time, and inference time. The results show that RF substantially outperformed LSTM, achieving 98.41% accuracy, precision, recall, and F1-score, with an MAE of 0.0173 and RMSE of 0.1420. RF also required only 2.667 seconds for training and 0.0102 ms for inference, compared with 189.98 seconds and 0.1856 ms for LSTM. Per-class evaluation confirmed that RF performed well across all network conditions, with precision and recall above 99% for Normal, above 94% for Warning, and above 90% for Critical. A strict chronological train-test split further confirmed the robustness of RF, which achieved 98.59% accuracy. Feature importance analysis showed that historical optical power, particularly lag-based features, was the most influential predictor of network degradation. These findings indicate that FTTH optical power degradation can be effectively modeled using engineered tabular features rather than a purely sequential approach. Finally, the RF model was integrated into a web-based monitoring dashboard with WhatsApp-based early warnings to support proactive FTTH network maintenance.
Performance Comparison of Point-to-Point and Point-to-Multipoint Fiber Optic Networks Using QoS Parameters and the Analytical Hierarchy Process (AHP) Husni Husni; Taufiq Taufiq; Defry Hamdhana; Muhammad Daud; Asrianda Asrianda
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13728

Abstract

The rapid growth of internet traffic in Indonesia, including in Aceh Province, requires an optical fiber network infrastructure that is both efficient and reliable. Two fundamental architectures, Point-to-Point (P2P) and Point-to-Multipoint (P2MP), offer different trade-offs between service quality and cost efficiency, yet a quantitative comparison that combines Quality of Service (QoS) measurement with a structured multi-criteria decision-making method remains limited. This study experimentally measures the throughput, delay, jitter, packet loss, and bandwidth of P2P and P2MP networks implemented at Universitas Almuslim, Bireuen, Aceh, using iPerf3 and Wireshark under varying client loads of 1, 2, 4, 8, and 16 users, and applies the Analytical Hierarchy Process (AHP) to weight the QoS criteria and rank the two architectures. The results show that P2P consistently outperforms P2MP on every QoS parameter, maintaining an average throughput of 95 Mbps, a delay of 2.68 ms, a jitter of 0.85 ms, a packet loss of 0.054%, and a fixed bandwidth of 100 Mbps, whereas P2MP degrades progressively as the number of users increases. AHP weighting identified throughput as the most influential criterion (0.50), followed by bandwidth (0.26), delay (0.13), jitter (0.07), and packet loss (0.03), with a Consistency Ratio of 0.054, confirming that the pairwise judgments were consistent. The resulting AHP scores were 9.00 for P2P and 2.66 for P2MP, indicating that P2P is the more optimal architecture for QoS-sensitive deployments, while P2MP remains advantageous where cost efficiency and wide coverage are prioritized.
Co-Authors Abdul Rasyid Abubakar Abubakar Dabet Adi Setiawan Agustival, Refi Alchalil Alchalil Alqhifari, Azka Amri Amri Andre Heri Bakriansyah Ar Razi Ariyandi, Zulham Arnawan Hasibuan Asran Asran Asri Asri Asrianda Asrianda Azwinur Azwinur Badriana, Badriana Bakhtiar Bakhtiar Chairil Pratama Cut Yuliani Sari cut Dahlan Abdullah Dedi Fariadi Defry Hamdhana Desy Sary Ayunda Diana Khairani Sofyan Diana, Diana Edo Roska Ezwarsyah Ezwarsyah Fadlisyah Fadlisyah Fajriana Fakhruddin Ahmad Nasution Fatimah Fatimah Ferri Safriwardy Gery Ulayya Hardi Hafizh Al Kautsar Aidilof Hamdhana, Defry Hamzani Hamzani Hardi, Gery U. Hardiansyah, Juni Hermansyah Hermansyah Husni Husni Ikramullah Ikramullah Iqlima Iqlima Iqlima, Iqlima Ishak Ishak Islami Fatwa Johan, T.M. Jumadi Khairul Fuadi Khalsiah Khalsiah M Azkal Azkia M Furqan M Sayuti Madanhar Manik Maizuar Maizuar Maryana Maryana Maryana Maulita, Maya Meutia Fadilla Misbahul Jannah Muchlis Abdul Muthalib Muhammad Daud Muhammad Ikhwanus Muhammad Raihan Rangkuti Muhammad Ridhani Muhammad Sayuti Muhammad Yusuf Muhammad Zakaria Muhammad, Muhammad Muhibuddin Muhibuddin Mujahid, Alvin Munar Munar Munar Munirul Ula Munirul Ula Munzir Absa Nasrah, Sayni Nasution, Fakhruddin A Novi Sylvia Nunsina, Nunsina Nurdin Nurdin Nurdin Nurdin Nursyafri Hafniza Pathia Pathia Pranata, Fajar Putra, Ardiansyah Rahmatina Rahmatina Raihan Putri Rajudin Rajudin Rangkuti, Irsan Efendi Ratna Rita Sovianto Riza Andriani Riza Andriani Riza Mirza Rizki Suwanda Rosdiana Rosdiana Ruwaida Ruwaida Salahuddin Salahuddin Selamat Meliala Siraj Suhaili Sahibul Muna Sujacka Retno Sulaiman . Sulhatun Sulhatun Syahri, Alfis Syamsul Bahri Syamsul Bahri Syarifah Muliana Syukriah Syukriah Syukriah Taufik Taufik Teguh Brahmana Trisna Trisna Wawan Syahputra YANITA YANITA Yasir Amani Yogi Satya Zara Yunizar Zulfikar Ali Buto Zulmiardi zura, zuraimi