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Ambulance integration model in smart city for health services Dewi, Rafiqa; Tulus, Tulus; Zarlis, Muhammad; Budhiarti Nababan, Erna
Bulletin of Electrical Engineering and Informatics Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i3.7202

Abstract

Smart city is a city built to create efficient, sustainable, fair and livable cities. Increasing the percentage of population survival in standard and emergency times or emergency medical services (EMS) is one of the main pillars of a smart city. This study develops previous research. The weakness of this model is that it needs to consider the dynamic travel time factor. The model only considers the fixed travel time between two locations, which may not represent the actual conditions on the highway. It is less flexible because it only finds one threshold value α for all λi. Researchers succeeded in developing a model to overcome the model weaknesses in (4) by adding new constraints that consider ambulance capacity and overcome the shortcomings of the model (5) by adding tighter limits on the value of α to minimize the difference between the values of λi and αλi. In addition, constraints can also be added to ensure that α is a realistic value and meets business requirements.
ANALYSIS AND IDENTIFICATION OF NEW STUDENT ACCEPTANCE SYSTEM WITH EQUAL WIDTH INTERVAL DISCRETIZATION TECHNIQUE IN K-MEANS CLUSTERING METHOD (CASE STUDY: SMA NEGERI 9 MEDAN) Rahmad, Sofyan; Zarlis, Muhammad; Situmorang, Zakarias
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 1 (2024): Second International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The admission of new students is the first gate that students and schools must pass through in screening educational objects. It is an important event for a school because it is the starting point that determines the smooth running of a school's work. The new student admission system (PPDB) has been implemented by many schools. One of these schools is SMA Negeri 9 Medan. The Equal-width interval Discretisation technique is the simplest discretization method that divides the range of observed values on each feature/attribute, variable k is a parameter provided by the user. This study will calculate what criteria are used to select new students at the school. The criteria used such as the distance of the new student's residence area to the school, academic achievement, and others are then calculated and as a support, Rapidminer 10.1 software is used. The results of data testing and cluster data will be processed to be considered as recommendations for schools and new students at the school
Academic Information System on The Prince Jayakarta Junior High School Student Assessment System Haq, Fesa Asy Syifa Nurul; Muliati, Vika Febri; Rahman, Abdu; Zarlis, Muhammad; Darusalam, Ucuk; Siregar, Nurhayati
Jurnal Informatika Vol 12, No 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i2.26261

Abstract

Information technology has supported the development of quality school services throughout the world. However, there are still many schools that have not used it optimally, especially in Indonesia, for example at Prince Jayakarta Bekasi Middle School. As in general, schools only use Ms. Word and Ms. applications . Excel. This resulted in different assessment formats and errors when filling in grades into the report card format. The academic information system application developed in this study uses the PHP, HTML, and MySQL programming languages and is named SIAP, which means eighteen academic information systems. The purpose of making this application is so that students / parents of students can receive school assessment information in a precise, fast and accurate manner. Teachers can also use the facility to process student scores so that they are well integrated and summarized as data for the Principal to make policies. This application can be opened on any browser platform, making it easier for users to access it anywhere and anytime.
Analysis of Embedding Locations in the Subband Frequency DCT on Scanned Images Hidayati, Indri; Budiman, Mohammad Andri; Zarlis, Muhammad
Data Science: Journal of Computing and Applied Informatics Vol. 7 No. 1 (2023): Data Science: Journal of Computing and Applied Informatics (JoCAI)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jocai.v7.i1-10359

Abstract

Uploading an identity card as an image for the account verification process or transactions online can be a threat to application users. Identity card theft can be carried out by irresponsible persons if the application can be hacked. Therefore, protection of the image is required for authentication. In this study, the proposed technique is watermarking. A watermark in the form of a binary image will be embedded into the image as ownership using a Discrete Cosine Transform. The Discrete Cosine Transform works in the frequency domain. The location of the embedding of different watermarks was analysed in each 8×8 DCT block. The results of the analysis to assess the imperceptibility of original images and watermarked images using PSNR (Peak Signal to Noise Ratio) and SSIM (Structural Similarity Index Measure), while assessing the watermark robustness embedded using NCC (Normalized Cross Correlation). The results show PSNR (Peak Signal to Noise Ratio) ≥ 54 dB with a watermark strength of 0,1 and an average SSIM (Structural Similarity Index Measure) ≥ 0,9 on 4 scanned images in BMP format with a resolution of 100 DPI. A good watermark embedding is done on the green component at middle frequencies to maintain a balance between imperceptibility and robustness. In contrast, the red component at low frequency is vulnerable to attacks in the form of brightness +20 and contrast +50 with an average NCC (Normalized Cross Correlation) ≤ 0,85.
SAGOMECON: An Adaptive ε-Constraint-Based Optimization Method for Multi-Criteria Decision-Making in Collaborative Industrial Networks Mesran, M; Sihombing, Poltak; Efendi, Syahril; Zarlis, Muhammad
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.v6i4.941

Abstract

In collaborative industrial networks, decision-making processes often involve conflicting objectives such as minimizing operational costs and risks, while simultaneously maximizing efficiency and inter-organizational collaboration. Existing multi-objective optimization methods, including the ε-constraint and its variants, face significant challenges in handling dynamic constraints and achieving computational efficiency in real-world scenarios. To address these limitations, this study introduces SAGOMECON (Simplified Adaptive Optimization with Modified ε-Constraint), an enhanced optimization approach designed to support adaptive and efficient multi-criteria decision-making in dynamic environments. SAGOMECON extends the conventional SAUGMECON framework by incorporating real-time constraint updates, adaptive slack handling, and iterative refinement mechanisms, enabling it to maintain solution feasibility under shifting priorities and evolving operational conditions. The proposed method was evaluated using simulated datasets representing partner selection scenarios in collaborative networked organizations (CNOs). Comparative analysis against the traditional ε-constraint and SAUGMECON methods demonstrates that SAGOMECON consistently delivers Pareto-optimal solutions with reduced computational time and superior adaptability to dynamic changes. The findings suggest that SAGOMECON offers a practical and scalable solution for decision-makers in collaborative industrial settings, particularly where trade-offs between competing objectives must be navigated under uncertainty. This contribution is significant for industries seeking intelligent optimization strategies that align with agile and data-driven decision-making frameworks.
Factors Affecting Intention to Make Purchasing Through E-Commerce in Indonesia Syauqi, Muhammad Irfan; Zarlis, Muhammad
Action Research Literate Vol. 8 No. 11 (2024): Action Research Literate
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/arl.v8i10.1973

Abstract

Electronic commerce, or "e-commerce," is the term used to describe all sales and purchases made using electronic media, mostly websites and applications. With the growth of digital interactions, it is more important than ever to understand the subtleties of e-commerce purchasings. With an emphasis on Indonesia, where online purchase is becoming more and more popular, this study attempts to pinpoint the critical factors that affect customers' decision to interact with e-commerce platforms. This study looks at the variables impacting customer behaviour in the platforms using a quantitative research methodology. The results, which cover social risk, financial risk, product risk, and social impact, are important components. When it comes to purchasing, trust is an important consideration, especially in a market where worries about online fraud are prevalent. Furthermore, studies show that an easy-to-use interface increases the probability that customers will make a purchase since it promotes trust and contentment. The variety of products offered and the allure of pricing packages impact customer decisions as well, highlighting the necessity for e-commerce suppliers to adopt a holistic strategy. The research provides an overview of Indonesia's e-commerce scene and makes suggestions for merchants looking to improve consumer happiness and build a strong online presence
Co-Authors , Rahmad Sembiring Achmad Noerkhaerin Putra Adisasmito, Wiku Bakti Bawono Ady Putra, Wahyu Aidil Halim Lubis AIRLANGGA, EKA Aminuyati Andrian, Kevin Ayodhia P. Pasaribu, Ayodhia P. Benfano Soewito Buaton, Relita Budhiarti Nababan, Erna Bugis M. Lubis, Bugis M. Christefa, Dea Cut Ita Erliana Dahlan Abdullah Defi Irwansyah Deny Jollyta Dewi, Rafiqa Efendi, Syahril Efendi, Syahril Eka Irawan Elviwani, Elviwani Erlina Erlina Erma Julita, Erma Erna Budhiarti Nababan Erna Budiarti Ghazali, Alfin Ginting, Emnita Boru Gunawan Gunawan Hadistio, Ryan Rinaldi Haq, Fesa Asy Syifa Nurul Harahap, Eka Purnama Hartama, Dedy Hasibuan, Nisma Novita Herman Mawengkang Hidayati, Indri Husna, Lina Naelal Indra Gunawan Lewis, Andreas Liana Liana Lidya Rosnita Mahyuddin K. M Nasution Malisie, Ririe F. Marischa Elveny, Marischa Marpaung, Tulus Joseph Herianto Mesran, Mesran Miralda, Viya Mohammad Andri Budiman Muhammad Reza Aulia Muliati, Vika Febri Nasution, Zulaini Masruro Novi Dian Nathasia Nurhayati Siregar, Nurhayati Nurwita, Siti Rakhmawati Ovirianti, Nurul Huda Pasaribu, Roni Fredy Halomoan Poltak Sihombing Prayoga, Nanda Dimas Pulungan, Annisa Fadhillah purba, lia cintia Purba, Roimal Hafizi Purnomo Sidi Priambodo Rahmad, Sofyan Rahman Aulia, Rahman Rahman, Abdu Riansyah, Muhammad Romanus Damanik Saib Suwilo Saifullah Saifullah Santoso, Ahmad Imam Sawaluddin Sembiring, Rahmat Widia Siregar, Jelita Siti Sarah Harahap Sri Melvani Hardi Suherman, Suherman Sukiman, T. Sukma Achriadi Sumarno . Sutarman Sutarman Suyanto Suyanto Syah, Rahmad B. Y. Syahputra, Muhammad Romi Syahril Effendi Syauqi, Muhammad Irfan Tanjung, Yulia Windi Tobing, Ricardo Joynest Tulus Tulus Tulus Ucuk Darusalam Wahyuni, Arlinda S. Wardhani, Widiastuti Kusumo Zakaria Zakaria Zakarias Situmorang Zulham Zulkarnain Lubis