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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF SCIENCE AND SOCIAL RESEARCH International Journal of Advances in Data and Information Systems INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Jurnal Minfo Polgan (JMP) Journal of Science Technology (JoSTec) Jurnal Pengabdian Masyarakat Nusantara Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Pengabdian kepada Masyarakat Jurnal Pustaka Dianmas Journal of Technology and Computer (JOTECHCOM) LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics JIPITI: Jurnal Pengabdian kepada Masyarakat International Journal of Applied Mathematics and Computing. International Journal of Educational Insights and Innovations (IJEDINS) Outline Journal of Community Development
M. Rhifky Wayahdi
Universitas Battuta
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : Journal of Technology and Computer (JOTECHCOM)

 1 
Decision Support System for Students Final Project Title Acceptance at Ganesha Polytechnic Medan using Analytical Hierarchy Process (AHP) Method Ramadhan, Wisnu; Wayahdi, M. Rhifky; Hasibuan, Eka Hayana
Journal of Technology and Computer Vol. 1 No. 3 (2024): August 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

Many students are confused about determining the title that has been standardized by the head of study program. Is the title they are proposing relatively easy and in accordance with what is standardized by the head of study program or could it actually make things difficult for the student? The decision making system method used is Analytical Hierarchy Process (AHP) with the criteria of level of difficulty, reference source, number of similar titles and reference accreditation. The manufacturing stages carried out in this research used the waterfall and web-based method. Making this application uses data processing procedures, Data Flow Diagrams and MySQL DBMS. The output of the research I have made is that it can make it easier for students to submit the title of their final assignment, making it easier for the head of study program to sort out whether the title that will be submitted by the student is in accordance with the standards set by the head of study program and can also assess at the same time whether the title is easy and suitable for use as a final assignment.
Decision Making System for Educator Recruitment at IP Daarul Arqam Private Junior High School using Simple Additive Weighting Method Anzani, Nurul; Wayahdi, M. Rhifky; Purwawijaya, Ellanda
Journal of Technology and Computer Vol. 1 No. 3 (2024): August 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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An institution can work well to achieve its goals which are determined by many factors. Teachers play an important role in improving the life of a nation. Teachers have great obligations and responsibilities in terms of educating the nation's children. Therefore, a school has several criteria in selecting educators. For this reason, accuracy and examination are needed in selecting educators to get qualified teachers. By using a Web-based decision support system the problems faced by foundations or schools can be overcome, so that subjectivity in decision making can be reduced. This system can integrate data on prospective educators from various sources, such as education, work experience, expertise, and others. In addition, this system can also apply predetermined decision-making methods, such as the Simple Additive Weighting (SAW) method. By using this system, decision makers can easily access and analyze prospective educators' data comprehensively. They can also see the results of ranking prospective educators based on relevant criteria. This allows decision makers to make more objective and informed decisions in determining teaching staff. With this application, it can make it easier to make decisions on determining teaching staff.
Design of a Website-Based Battuta University Employee Payroll System Nur Alisya, Siti; Harahap, Baginda; Wayahdi, M. Rhifky
Journal of Technology and Computer Vol. 1 No. 4 (2024): November 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Everything in this world is bound to change, including technological advancements. Technology will never stop developing. The exchange of data and information is now very fast, even in less than a second. At Battuta University, in processing employee salaries, they still use manual calculations and use the Ms. Excel application. This can cause errors in calculating employee salaries and the process of printing pay slips and employee payroll reports that take a long time. In solving this problem, the author designs a website-based employee payroll application. In designing the application, the author uses a system development methodology, namely the waterfall and qualitative methods, with the application program language made in PHP and MySQL database. The results of this design produce a computerized application program which will be used to process web-based employee salaries at Battuta University and it is hoped that the university will find it easier to input data, compile payroll reports faster and more efficiently.
Decision Support System to Determine the Best Student at MAS Islamic Center in Class XI using a Simple Additive Weighting Method Thania, Sheila Try; Wayahdi, M. Rhifky; Mughnyanti, Mayang
Journal of Technology and Computer Vol. 1 No. 4 (2024): November 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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This research aims to develop a Decision Support System (DSS) in determining the best students at MAS ISLAMIC CENTRE by using the Simple Additive Weighting (SAW) method. The SAW method was chosen because of its ability to calculate the number of performance weights on each alternative effectively, allowing comparison of various options based on specified criteria. This research uses a quantitative approach with system development that follows the Waterfall model, starting from the needs analysis stage to implementation and maintenance. The results show that the designed system is able to process student data accurately and display student rankings quickly and efficiently. This provides an advantage for schools in making decisions that are more objective and supported by solid data. The implementation of SAW-based DSS is expected to be a solution that supports transparency and effectiveness in determining the best students in the educational environment.
Artificial Intelligence-Based Hydroponic Plant Disease Detection System (Lactuca sativa) Wayahdi, M. Rhifky; Ruziq, Fahmi; Nurhajijah, Nurhajijah
Journal of Technology and Computer Vol. 2 No. 4 (2025): November 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Hydroponic cultivation of lettuce (Lactuca sativa) offers high water efficiency, yet productivity is frequently compromised by rapid disease spread and nutrient imbalances. Traditional manual monitoring is labor-intensive, time-consuming, and prone to subjective diagnostic errors, often leading to delayed interventions. This study aims to develop an automated, real-time disease detection system by integrating Deep Learning algorithms with an Internet of Things (IoT) architecture. The proposed method utilizes an optimized One-Stage Object Detector based on the YOLO framework, specifically designed for efficient deployment on edge computing devices. The model was trained and validated on a diverse dataset encompassing healthy plants, tip-burn, leaf spot, and nutrient deficiencies, employing rigorous data augmentation to ensure robustness against indoor lighting variability. Experimental results demonstrate that the system achieves a Mean Average Precision (mAP@0.5) of 94.8%, significantly outperforming conventional Support Vector Machine (SVM) approaches and standard detectors. The model maintains high detection accuracy even under complex background conditions. In conclusion, this research provides a viable, low-latency solution for precision agriculture, enabling growers to automate plant health monitoring and effectively minimize crop losses.
Real-Time Classification of Hydroponic Vegetable Types on Mobile Devices Using Lightweight Deep Learning Models Wayahdi, M. Rhifky; Ruziq, Fahmi; Nurhajijah, Nurhajijah
Journal of Technology and Computer Vol. 1 No. 4 (2024): November 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

Hydroponic cultivation requires precise monitoring to ensure crop quality and productivity, yet manual identification of vegetable varieties and their growth status remains labor-intensive and prone to error. This study aims to develop a real-time, mobile-based classification system for hydroponic vegetables using lightweight Deep Learning models optimized for edge computing. The proposed method evaluates two distinct architectures, MobileNetV3 and YOLO-Nano, trained via transfer learning on a dataset comprising major hydroponic crops such as Lettuce, Pak Choy, Mustard Greens, and Cherry Tomatoes. Experimental results demonstrate that while YOLO-Nano offers superior inference speed (~55 FPS), MobileNetV3 achieves a significantly higher classification accuracy of 96.4% while maintaining a real-time performance of ~35 FPS on standard mobile hardware. The study concludes that MobileNetV3 provides the optimal balance between accuracy and computational efficiency for handheld agricultural applications. This research contributes a scalable, low-cost solution for smart farming, enabling producers to perform rapid, on-site digital inventory and quality assessment without reliance on internet connectivity.
Co-Authors Anzani, Nurul Baginda Harahap Davita, Davita Dewi Wahyuni Dewi Wahyuni Dinur Syahputra Dinur Syahputra Dinur Syahputra Ellanda Purwawijaya Ginting, Subhan Hafiz Nanda Guntur, Surya Hasibuan, Eka Hayana Hutasoit, Rutmian Mariama Manza, Yuke Mughnyanti, Mayang Nanda Ginting, Subhan Hafiz Nur Alisya, Siti Nurhajijah, Nurhajijah Ramadhan, Wisnu Ramadhani, Syafitri Rutmian Mariama Rutmian Mariama Hutasoit ruziq, fahmi Sheila Try Thania Sridewi, Nurmala Subhan Hafiz Nanda Ginting Subhan Hafiz Nanda Ginting Subhan Hafiz Nanda Ginting Surya Darma Surya Guntur Syed Hassan Ali Thania, Sheila Try Zaki, Mohammed