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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Knowledge Engineering and Data Science JURTEKSI JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Intelligent Decision Support System (IDSS) Jurnal Pengabdian Masyarakat IPTEK LEBAH Blend Sains Jurnal Teknik Jurnal ICT : Information and Communication Technologies IJETH
Mahardika Abdi Prawira Tanjung
Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
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Multivariate Analysis Approach to Factor-Affected Tuberculosis Disease Gultom, Zuli Agustina; Siregar, Farid Akbar; Tanjung, Mahardika Abdi Prawira; Hazidar, Al-Hamidy
Knowledge Engineering and Data Science Vol 6, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um018v6i22023p114-128

Abstract

Tuberculosis is a disease caused by infection with the mycobacterium tuberculosis complex. Tuberculosis attack organ besides the lung, such as the pleura, lining of the brain, lining of the heart, lymph gland, bones, joint, skin, intestines, kidney, urinary tract, and genital. This disease is found in densely populated settlements with poor sanitation, lack of ventilation and sunlight and lack of rest. Moreover, the factors that will be analyzed in this research are Population Density (X1), Number of HIV/AIDS (X2), number of toddlers who experience nutrition (X3), Number of toddlers who experience BCG immunization (X4), number of toddlers who get exclusive breastfeeding (X5), Total families with PHBS (X6), number of residents with healthy homes (X7), number of families with clean water facilities (X8), number of families with ownership of latrine sanitation (X9), number of families with have landfills (X10), number of families have management waste place (X11), number of elementary education facilities (X12), Number of junior school education facilities (X13), Number of senior school education facilities (X14), Number of institutions fostered by neighborhood health (X15), Number of Posyandu (X16), Number Life Expectancy (X17), Literacy Rate (X18), Human Development Index (X19), Number of Tuberculosis sufferers (X20). This research aims to analyze what variables influence each other on the prevalence rate of tuberculosis in the city of Surabaya. The method used in this research is a multivariate analysis using factor analysis, cluster analysis, biplot analysis and discriminant analysis. This discriminant analysis determines accuracy by calculating the value (1-APER). The resulting research the Number of HIV/AIDS, number of residents with healthy homes, and Number of families with ownership of Sanitation (latrine, landfills, waste management) have a high correlation with the spread of tuberculosis in Surabaya. Meanwhile, areas with a high rate of tuberculosis are Tambaksari, Wonokromo, Sawahan, and Semampir.  The classification analysis accuracy level was 90.32% and the accuracy of the resulting model or discriminant function was very high. So that discriminant analysis can be used for predicting the accuracy of tuberculosis prevalence rates.
Implementation of simple additive weighting in determining employee performance based on android at BSI Bank KCP Perbaungan Tanjung, Mahardika Abdi Prawira; Syafii, Rahmad
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 4 (2024): December: Intelligent Decision Support System
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i4.261

Abstract

This study aims to develop and implement a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method for employee performance evaluation at BSI Bank KCP Perbaungan. The main problems faced by the bank are subjectivity and inefficiency in performance evaluation using manual methods. With this Android-based DSS, employee performance evaluations can be carried out more objectively and transparently, based on criteria such as productivity, work quality, attendance, and teamwork ability. This study involves data collection through observation and interviews with bank management to determine the weights of the criteria used in performance evaluation. The SAW method is then applied to process employee performance data and generate a final score used to identify the best employees. The results show that the SAW method is effective in improving the accuracy and speed of performance evaluations. The implementation of the Android-based DSS simplifies management in handling employee data and generating real-time performance reports. This study concludes that the use of the SAW method in an Android-based DSS can reduce subjectivity in evaluations and improve decision-making efficiency at BSI Bank KCP Perbaungan.
Prediction of price decrease in used cars using decision tree in Habib Car Showroom Ardiansyah, Muhammad; Tanjung, Mahardika Abdi Prawira
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 4 (2024): December: Intelligent Decision Support System
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i4.262

Abstract

This study aims to predict the decline in the price of used cars using the Decision Tree method at the Habib Car Showroom. The main problem at the Habib Car Showroom is that there is no system that can predict the price of cars at the Habib Car Showroom. With this research, the prediction of car prices at the Habib Mobil Showroom will be more objective and very helpful for the Habib Car Showroom. This study predicts through criteria and any damage to the cars at the Habib Car Showroom, such as year of manufacture, engine condition, and body condition. Furthermore, this Decision Tree method is useful for calculating how much the price will drop through the damage to the car that will be seen in the condition of the damage. This study will produce objective and accurate results according to the damage to the car or not damaged to the car, and this study can help the Habib Car Showroom predict prices easily, objectively, and accurately.
Implementation of AHP method in decision support system for AC brand selection at PT. Gemilang Haris, Muhammad; Zulherry, Andi; Limbong, Isman Efendi; Tanjung, Mahardika Abdi Prawira
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 3 (2024): Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i3.257

Abstract

The selection of the optimal AC brand for PT Gemilang faces complex challenges as it involves the evaluation of various criteria such as quality, cost, energy efficiency, and after-sales service. This research aims to apply the Analytic Hierarchy Process (AHP) method to determine the best AC brand based on these criteria. The AHP method is used to develop a comparison matrix, calculate the weights of criteria and alternatives, and check the consistency of the results. The analysis results show that Brand B has the highest final weight, making it the most optimal choice compared to the other alternatives. The implications of this study show that the AHP method can be effectively used for multi-criteria decision-making in product selection, providing data-driven recommendations and reducing subjective bias in the selection process. This research makes a significant contribution to a more structured decision-making practice at PT Gemilang.
Pengembangan Parawisata Dengan Inovasi Digitalisasi Melalui Platfrom Bloger Pada Desa Kedai Gadang Kabupaten Barus Fadhlurrohman, Dimas; Gultom, Zuli Agustina; Rizky, Firahmi; Siregar, Farid Akbar; Tanjung, Mahardika Abdi Prawira; Alhamidy, Alhamidy
Jurnal Pengabdian Masyarakat IPTEK Vol. 4 No. 1 (2024): Edisi Januari 2024
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/abdi.v4i1.9505

Abstract

Teknologi telah memengaruhi hampir semua aspek industri pariwisata maupun perekonomian. Para wisatawan akan merencanakan perjalanan merdeka dengan berinteraksi dan berbagi pengalaman di media social. Social media merupakan salah satu bagian dati teknologi. Teknologi ini juga memberikan peluang bagi destinasi pariwisata dan ekonomi untuk meningkatkan layanan mereka dan mempromosikan diri dengan lebih efektif baik dari segi parawisata maupun ekonomi. Oleh karena itu, penggunaan teknologi dalam konteks Desa Wisata Kedai Gadang dapat dilihat sebagai langkah cerdas untuk memenuhi ekspektasi wisatawan modern. Dalam upaya untuk melihat potensi serta peluang wisata di Desa Wisata Kedai Gadang, akan diberikan sentuhan teknologi dalam berbagai aspek. Salah satu contohnya adalah Pembagunan blogger sederhana terkait pengenalan Desa Wisata Kedai Gadang. Blogger ini telah dikembangkan untuk memberikan panduan serta informasi kepada wisatawan, memungkinkan mereka untuk mempelajari sebelum mengeksplorasi desa ini dengan lebih baik. Berdasarkan hasil implementasi yang telah dilakukan, masyarakat sangat menyambut baik tentang sentuhan digital terhadap usaha UMKM maupun tempat pawawisata. 
Penguatan Peran Rumah Literasi Ranggi dalam Mendorong Literasi Anak melalui Sistem Inventarisasi dan Kemitraan Eksternal di Desa Sampali Prawira Tanjung, Mahardika Abdi; Haris, Muhammad; Basit, Lutfi
Lebah Vol. 19 No. 2 (2025): November: Pengabdian
Publisher : IHSA Institute

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

Abstract

Rumah Literasi Ranggi merupakan komunitas berbasis masyarakat di Kabupaten Deli Serdang yang berfokus pada peningkatan budaya literasi dan kreativitas anak-anak serta remaja. Namun, pengelolaan koleksi bacaan masih menghadapi kendala akibat ketiadaan sistem inventarisasi yang terstruktur dan keterbatasan kerja sama eksternal, terutama dalam hal sponsorship dan pelatihan literasi. Program pengabdian ini bertujuan memberikan solusi melalui pengembangan website terintegrasi yang berfungsi sebagai katalog digital buku, wadah donasi, serta portal kemitraan dan pelatihan. Metode pelaksanaan meliputi persiapan, sosialisasi, pelatihan pengelolaan digital, implementasi teknologi, pendampingan, evaluasi, hingga strategi keberlanjutan. Partisipasi aktif mitra didorong pada setiap tahap, mulai dari perancangan fitur hingga pengelolaan konten. Hasil yang diharapkan adalah peningkatan jumlah donasi buku, terbangunnya sistem pencatatan koleksi yang transparan, serta perluasan jejaring sponsorship dan relawan. Selain memperkuat manajemen internal, inovasi ini diharapkan memberikan dampak sosial-ekonomi yang signifikan, antara lain peningkatan akses bacaan, perluasan pelatihan literasi, serta penguatan kapasitas masyarakat lokal dalam memanfaatkan teknologi untuk mendukung pendidikan dan pemberdayaan
Adaptasi Perilaku Berkendara Motor yang Agresif Menggunakan PCA dan Manova Gultom, Zuli Agustina; Tanjung, Mahardika Abdi Prawira; Hamidy, Al
Blend Sains Jurnal Teknik Vol. 4 No. 3 (2026): Edisi Januari
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v4i3.1332

Abstract

Penelitian ini bertujuan untuk menganalisis perilaku berkendara agresif di kalangan pengendara motor menggunakan teknik analisis multivariat, termasuk Principal Component Analysis (PCA), klastering, dan Multivariate Analysis of Variance (MANOVA). Survei dilakukan pada 130 responden untuk mengidentifikasi faktor-faktor yang mempengaruhi perilaku berkendara, seperti kelalaian, perilaku agresif, dan kesalahan persepsi. Hasil PCA mengidentifikasi tiga faktor utama yang mempengaruhi perilaku berkendara agresif, yaitu kelalaian dan ketidakfokusan (kontribusi terbesar), perilaku agresif/pelanggaran aturan, dan kesalahan persepsi/pengendalian kendaraan. Komponen pertama menjelaskan 65% dari varians data, dengan titik elbow ditemukan pada komponen ketiga. Uji KMO menunjukkan nilai 0,743, yang menandakan bahwa data sampel cukup representatif untuk dianalisis, sementara uji Bartlett's Test of Sphericity dengan p-value 0,000 mengindikasikan korelasi signifikan antar variabel. Uji MANOVA menunjukkan bahwa faktor kelalaian dan ketidakfokusan tidak berpengaruh signifikan terhadap keselamatan berkendara (p = 0,104), sementara perilaku agresif/pelanggaran aturan memiliki pengaruh moderat (p = 0,215) terhadap salah satu variabel dependen. Faktor kesalahan persepsi juga tidak berpengaruh signifikan (p = 0,061). Uji Levene mengungkapkan varians tidak homogen untuk faktor kelalaian (p = 0,028), sedangkan varians untuk faktor perilaku agresif dan kesalahan persepsi homogen. Temuan ini mengindikasikan bahwa kelalaian dan kesalahan persepsi berperan lebih dominan dalam mempengaruhi risiko kecelakaan lalu lintas. Penelitian ini memberikan wawasan penting untuk pengembangan kebijakan keselamatan berkendara, terutama dalam menangani faktor kelalaian dan pengendalian persepsi pengemudi.
Metadata and Location-Based Digital Document Authenticity Identification Al Farizi, Teuku Ahmad Hafiz; Tanjung, Mahardika Abdi Prawira
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v17i1.319

Abstract

The growth of digital documents has simplified the creation, storage, and distribution of information, but it has also increased the possibility of document forgery and manipulation. This study implements a digital forensic approach to support the identification of digital document authenticity through metadata and location analysis. The research method follows the National Institute of Standards and Technology (NIST) framework, consisting of collection, examination, analysis, and reporting. The system was developed as a web-based application using HTML, CSS, and JavaScript, with support for JPG, PNG, PDF, and DOCX files. The analyzed metadata includes file type, file size, creation time, modification time, software or device information, author identity, and GPS coordinates when available. The system was tested using black box testing on key features, including file upload, fetch URL, export JSON, clear, and GPS location display. The results show that the system is able to extract and present metadata in a structured manner and support the initial verification of digital document authenticity. Metadata can be used as an early indicator to detect inconsistencies in document history, although the reliability of the analysis depends on the completeness of metadata stored in the examined file.
Design and Development of an IoT-Based Ground Vibration Monitoring System with Landslide Potential Classification Using SVMDesign and Development of an IoT-Based Ground Vibration Monitoring System with Landslide Potential Classification Using SVM Pratama, Ridho; Tanjung, Mahardika Abdi Prawira
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v17i1.322

Abstract

Landslides are natural disasters that can cause casualties, environmental damage, and infrastructure losses. One challenge in landslide mitigation is the limited availability of monitoring systems that can provide fast, real-time, and interpretable information about ground conditions. This study aims to design and develop an Internet of Things (IoT)-based ground vibration monitoring system with landslide potential classification using Support Vector Machine (SVM). The system uses an MPU6050 sensor to acquire ground vibration data and an ESP8266 microcontroller to transmit data through a Wi-Fi network to a server. The collected data are processed through preprocessing, windowing, feature extraction, and standardization before being classified into three condition categories: Safe, Alert, and Danger. The classification results are displayed on an LCD, visualized through a web dashboard, and used to activate a relay as a warning mechanism when a dangerous condition is detected. The testing results show reliable data transmission with a 100% delivery success rate in the observed test and an average latency of approximately 0.3 seconds. The SVM model achieved 99.79% accuracy, with high precision, recall, and F1-score for all classes. Therefore, the proposed prototype can support ground vibration monitoring and early landslide warning efforts more effectively.
Application of the Analytical Hierarchy Process and GIS in a Decision Support System for Determining the Location of the Final Disposal Site (FDS) for the City of Medan in Deli Serdang Regency Hartono, Arya Danu; Tanjung, Mahardika Abdi Prawira
Jurnal ICT : Information and Communication Technologies Vol. 17 No. 1 (2026): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

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

Abstract

Indonesian Sign Language (BISINDO) is the primary communication medium for the deaf community, yet limited public understanding often leads to communication barriers. Previous sign language recognition studies have generally been conducted offline, lacked real-time web integration, and produced only text-based outputs without multimodal interaction. To address these limitations, this study proposes a real-time web-based BISINDO translator system using a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model, integrated with a Text-to-Speech (TTS) feature. The novelty of this research lies in the combination of CNN for spatial feature extraction and LSTM for temporal sequence learning within a fully deployed web application framework (NzSignify), enabling real-time end-to-end sign language translation with both text and voice output. The dataset consists of primary video recordings from three subjects, covering 11 gesture classes with 1,000 grayscale frames per class at a resolution of 100×89 pixels. The proposed model is implemented using a React.js and Node.js-based system to support real-time inference. Experimental results show that the hybrid CNN-LSTM model achieves a classification accuracy of 96% based on Confusion Matrix evaluation. In real-time testing, an 80% confidence threshold effectively filters misclassified gestures and improves translation reliability into text and speech outputs. Compared to previous studies that mainly rely on standalone CNN or traditional machine learning methods with offline processing, the proposed approach demonstrates improved capability in capturing both spatial and temporal features of sign gestures as well as supporting real-time deployment. These findings indicate that the developed system provides a more practical, accurate, and interactive solution for BISINDO translation, enhancing communication accessibility between deaf and hearing communities through a real-time multimodal platform.
Co-Authors Abdurrafy Hasibuan, Rifky Adhitya Syahputra, Muhammad Agus Suryadi Al Farizi, Teuku Ahmad Hafiz Alhamidy, Alhamidy Andi Zulherry Cut Try Utari Fachri, Barany Fadhlurrohman, Dimas Farid Akbar Siregar Febrianti, Eka Lia Frainskoy Rio Naibaho Hamidy, Al Hartono, Arya Danu Hazidar, Al-Hamidy Izzuddin Mubarok, Muhammad Jannah, Aulia Juliansyah Putra Tanjung Lely Fitri Hasibuan Limbong, Isman Efendi Lutfi Basit Muhammad Ardiansyah MUHAMMAD HARIS Muhathir, Muhathir Pratama, Ridho Ricky Ramadhan Harahap Rizky, Firahmi Syafii, Rahmad Syahdilan, Akbar Taufik Ismail Simanjuntak Zuli Agustina Gultom