Article Per Year (5 Year)
p-Index From 2020 - 2025
1.937
P-Index
This Author published in this journals
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 IJETH
Mahardika Abdi Prawira Tanjung
Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
IMPLEMENTASI NATURAL LANGUAGE PROCESSING DALAM PERANCANGAN APLIKASI CHATBOT PADA FIKTI UMSU Izzuddin Mubarok, Muhammad; Abdi Prawira Tanjung, Mahardika
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 6 (2024): JATI Vol. 8 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i6.11713

Abstract

Perkembangan teknologi informasi dan komunikasi, khususnya kecerdasan buatan, telah membawa dampak signifikan dalam berbagai bidang, termasuk pendidikan. Fakultas Ilmu Komputer dan Teknologi Informasi Universitas Muhammadiyah Sumatera Utara (FIKTI UMSU) menghadapi tantangan dalam memberikan layanan akademik dan administrasi yang cepat dan akurat kepada mahasiswa dan staf. Terbatasnya waktu operasional dan jumlah staf menyebabkan layanan informasi tidak selalu dapat diakses secara optimal. Untuk mengatasi masalah ini, penelitian ini bertujuan mengembangkan chatbot berbasis Natural Language Processing (NLP) yang dapat memberikan layanan informasi secara real-time dan dapat diakses kapan saja. Chatbot ini diharapkan dapat meningkatkan efisiensi layanan akademik dengan menjawab pertanyaan umum secara otomatis, sehingga mengurangi beban kerja staf dan memperluas akses informasi dengan layanan yang tersedia 24/7. Implementasi yang tepat, termasuk pemilihan teknologi, pengumpulan data percakapan, dan pelatihan model NLP yang akurat, menjadi kunci keberhasilan penerapan chatbot ini di FIKTI UMSU. Hasil pengujian Black Box menunjukkan performa chatbot mampu merespon 8 pertanyaan yang diajukan secara acak dengan benar dan mendapatkan presentase sebesar 97% yang dimana ini sudah cukup baik untuk model chatbot tersebut.
IMPLEMENTASI SISTEM MONITORING KOS BERBASIS INTERNET OF THINGS (IOT) DENGAN MENGGUNAKAN SENSOR PIR MOTION HUMAN DETECTION Jannah, Aulia; Abdi Prawira Tanjung, Mahardika
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 6 (2024): JATI Vol. 8 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i6.11716

Abstract

Di zaman globalisasi sekarang, sains berkembang pesat sehingga mempengaruhi perkembangan teknologi. Kos yang kosong dan tidak dijaga adalah sasaran utama pencurian karena tidak memiliki sistem keamanan yang memadai. Saat ini perampokan dan pencurian di area kos masih sering terjadi dan meresahkan. Karena tingginya kasus pencurian, maka perlu adanya sistem keamanan yang tepat di sekitar kost yang dapat menyampaikan informasi tentang apa yang terjadi di kos. Salah satu teknologi yang dapat dimanfaatkan adalah Internet of Things yang dikembangkan oleh peneliti dengan menggunakan metode pengembangan perangkat lunak yaitu metode waterfall, yang memungkinkan anak kos untuk lebih mudah memantau situasi di kos yang dibangun dengan sensor PIR dan ESP32-Cam. Hasilnya nanti pengguna dapat mengaksesnya dari jarak jauh melalui ponsel selama mikrokontroler IoT tersebut terhubung dengan jaringan internet seperti Wi-Fi yang dapat diakses melalui bot Telegram untuk memantau keadaan kos. Tujuan dari riset ini adalah mengimplementasikan sistem monitoring keamanan kos berbasis IoT dengan notifikasi bot telegram. Dan manfaat dari penelitian ini untuk mengurangi kecemasan anak kos.
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.
Co-Authors Abdurrafy Hasibuan, Rifky Adhitya Syahputra, Muhammad Agus Suryadi Alhamidy Alhamidy Andi Zulherry Cut Try Utari Dimas Fadhlurrohman Fachri, Barany Farid Akbar Siregar Febrianti, Eka Lia Firahmi Rizky Frainskoy Rio Naibaho Hazidar, Al-Hamidy Isman Efendi Limbong Izzuddin Mubarok, Muhammad Jannah, Aulia Juliansyah Putra Tanjung Lely Fitri Hasibuan Muhammad Ardiansyah Muhammad Haris Muhathir Muhathir Ricky Ramadhan Harahap Syafii, Rahmad Syahdilan, Akbar Taufik Ismail Simanjuntak Zuli Agustina Gultom