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All Journal Sistemasi: Jurnal Sistem Informasi AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JITK (Jurnal Ilmu Pengetahuan dan Komputer) IJISTECH (International Journal Of Information System & Technology) Jurnal Mantik Journal of Computer System and Informatics (JoSYC) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdimas Bina Bangsa Jurnal Sains Teknologi dan Sistem Informasi Prosiding Snastikom Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Dedy Hartama
STIKOM Tunas Bangsa
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Prototype Alat Pengamanan Pintu dengan Menggunakan Sensor Sidik Jari Berbasis Arduino Mega2560 Rudi Handika; Dedy Hartama; Ika Okta Kirana; M. Safii; Iin Parlina
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 1 No. 6 (2021): Juni 2021
Publisher : STMIK Budi Darma

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Abstract

The door is the most important and important part of a room to pay attention to its safety compared to other parts because it is from the door that everyone will enter or leave. This study aims to build a door security device using a Fingerprint sensor based on Arduino Mega 256. The door that will be given a security device is the door in classes at STIKOM Tunas Bangsa Pematangsiantar. This tool can be used as a security control system at the classroom door, users do not need to use manual security such as keys, and this tool is also equipped with an alarm as a marker when the Fingerprint sensor is accessed by someone who is not the owner, this alarm will sound. This system consists of hardware and Software. The hardware consists of an Arduino Uno, Fingerprint sensor, buzzer, Selenoid door, LCD and then the Software on this system uses the Arduino IDE program. This system runs if the Fingerprint sensor detects a finger from the user, the solenoid as a door lock will open. Otherwise, if the sensor does not see a finger from the user, the solenoid as a door lock will not open, and an alarm will sound. This door safety device can effectively be used as security on classroom doors and other rooms such as leadership rooms, education rooms and staff rooms
Evacuation Planning for Disaster Management by Using The Relaxation Based Algorithm and Route Choice Model Dedy Hartama; Agus Perdana Windarto; Anjar Wanto
IJISTECH (International Journal of Information System and Technology) Vol 2, No 1 (2018): November
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.102 KB) | DOI: 10.30645/ijistech.v2i1.14

Abstract

Research in the field of disaster management is done by utilizing information and communication technology. Where disaster management is discussed is about evacuation planning issues. The evacuation stage is a very crucial stage in the disaster evacuation process. There have been many methods and algorithms submitted for the evacuation planning process, but no one has directly addressed evacuation planning on dynamic issues concerning time-varying and volume-dependent. This research will use the Relaxation-Based Algorithm combined with the Route Choice Model to produce evacuation models that can be applied to dynamic issues related to time-varying and volume-dependent because some types of disaster will result in damage as time and evacuation paths are volume-dependent so as to adjust to the change in the number of people evacuated. Disaster data that will be used in this research is sourced from Disaster Information Management System sourced from DesInventar. The results of this study are expected to produce an evacuation planning model that can be applied to dynamic problems that take into account the time-varying and volume-dependent aspects.
Analysis of Silhouette Coefficient Evaluation with Euclidean Distance in the Clustering Method (Case Study: Number of Public Schools in Indonesia) Dedy Hartama; Mawaddah Anjelita
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i3.3318

Abstract

This study aims to find out how much the silhouette coefficient value is obtained from calculating the distance from the data to the centroid using the euclidean distance in the k-means method and to provide input in science for further research in developing the k-means method. To solve this problem, researchers use the k-means method with silhouette coefficient evaluation. Where the data source in this study took data directly from the Indonesian Central Bureau of Statistics (BPS) in the form of softcopy entitled "Statistics of Indonesia 2021" with the URL: https://www.bps.go.id. The data used in this study uses 2020 data which consists of 34 provinces. The data will be processed using the k-means method with the silhouette coefficient using the euclidean distance. The results obtained are cluster = 4 which is the best cluster for classifying the number of public schools in Indonesia by province in 2020 with a silhouette coefficient of -0.9944. By doing research, it can provide input in science for further research in developing clustering methods, especially k-means.
PELATIHAN IMPLEMENTASI PROGRAMMING WEB MENGGUNAKAN BOOTSTRAP PADA SMK TELADAN PEMATANG SIANTAR Abdi Rahim Damanik; Widodo Saputra; Dedy Hartama; Indra Gunawan; Surya Darma; Fahmi Firzada
Jurnal Abdimas Bina Bangsa Vol. 3 No. 2 (2022): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v3i2.233

Abstract

Mastery of Information and Communication Technology needs to be taught at all levels so that processes and activities can be carried out more quickly, easily and efficiently. Class XI students of SMK Teladan Pematang Siantar are required to have competencies that can be mastered before leaving school in the field of website programming. One of the competencies is being able to create websites or web-based applications using CSS and bootstrap. The purpose of this Community Service Activity is to provide training in developing mastery of website programming as interactive learning for Teachers of Exemplary SMK Pematang Siantar. The devotional method used includes lectures, question and answer, discussion and practice. The steps for the Community Service program are 1) Compiling and developing training materials, 2) Training Stage, 3) The practical assistance stage in the process of making website programming implementations using css and bootstrap. Community Service shows that the training that has been carried out on activities can improve students' abilities to develop knowledge in the process of implementing website programming using bootstrap
Penerapan Data Mining Dalam Klasifikasi Pola Minat Mahasiswa Stikom Tunas Bangsa Melakukan Vaksinasi Menggunakan Algoritma Naive Bayes Muhammad Irfani; Dedy Hartama; Muhammad Ridwan Lubis; Renaldi; Wendi Robiansyah
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (486.117 KB)

Abstract

Vaccination is a process in the body, where a person becomes immune or protected from a disease so that if one day they are exposed to the disease they will not get sick or only experience mild illness, usually by administering a vaccine. This research has the problem of not using the Naïve Bayes algorithm to classify students' interest patterns in carrying out vaccinations at STIKOM Tunas Bangsa Pematangsiantar. The data used in this research is questionnaire data. Application of the Naive Bayes method with questionnaire data taken from STIKOM Tunas Bangsa Pematangsiantar students in order to find out possible interest patterns of students who take vaccines
Sistem Pendukung Keputusan Dalam Menentukan Aparatur Sipil Negara Terbaik Pada Kantor Camat Siantar Utara Dengan Metode ELECTRE Notryady Purba; Dedy Hartama; Jalaluddin J; Solikhun S; Fitri Anggraini
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 1 (2020): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i1.19

Abstract

Siantar Utara District Office is one of the sub-districts in the Pematangsiantar city, North Sumatra Province. Through this sub-district office, residents can take care of various forms of licensing. At the subdistrict office also routinely held awards to employees which are held every three months which were previously counted on the excel application. The calculation process determines the best employee that the writer does, namely with the Excel application and uses the web-based ELECTRE method. Based on the final results obtained from the calculation results in both the excel application and the web-based application, alternative A1 with Ekl = 4 value, alternative A2 with Ekl = 4 value, alternative A3 with Ekl = 0 value, alternative A4 with Ekl = 2 value , alternative A5 with the value Ek = 2 From this decision support system, the final result is obtained with alternative A1 with the value Ekl = 4 as the best employee.
OPTIMIZING THE KNN ALGORITHM FOR CLASSIFYING CHRONIC KIDNEY DISEASE USING GRIDSEARCHCV Muhammad Rahmansyah Siregar; Dedy Hartama; Solikhun Solikhun
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.6214

Abstract

Chronic Kidney Disease (CKD) is a progressive condition that impairs kidney function and cannot be cured. Early detection is crucial for effective management and therapy. However, diagnosing CKD is challenging as patients often have comorbidities such as diabetes, hypertension, or heart disease, which complicate diagnosis and treatment. Accurate classification methods are essential for early detection. K-Nearest Neighbor (KNN) is a classification algorithm that groups data based on feature similarity. K-NN is an algorithm that is resistant to outliers, easy to implement, and highly adaptable. It only requires distance calculations between data points and does not involve complex parameters. However, its performance depends on hyperparameters such as the number of neighbors (k), weighting, and distance metric. Incorrect hyperparameter selection can lead to overfitting, underfitting, or reduced accuracy. To address these issues, GridSearchCV is used to optimize KNN by systematically selecting the best hyperparameters, ensuring improved accuracy and reduced overfitting. This optimization enhances the model’s reliability in early CKD detection compared to other methods. This study aims to determine the optimal KNN parameters for CKD classification using GridSearchCV. The results show 8.05% accuracy improvement and reduction in overfitting, with the prediction gap between training and testing decreasing from 6% to only 1.15%. These enhancements contribute to more reliable CKD diagnosis, enabling accurate early detection and better clinical decision-making.
Co-Authors Abdi Rahim Damanik Agus Perdana Windarto Alan Boy Sandy Damanik Asro Pradipta Bahrudi Efendi Damanik Dewi, Rafiqa Fahmi Firzada Febriani Fitri Anggraini Iin Parlina Ika Okta Kirana Indra Gunawan Irfan Sudahri Damanik Jalaluddin J Jalaluddin Jalaluddin M. Safii MARIA BINTANG Mawaddah Anjelita Muhammad Irfani Muhammad Rahmansyah Siregar Muhammad Ridwan Lubis Notryady Purba Renaldi Rudi Handika Saifullah Saifullah Solikhun S Solikhun Solikhun Sumarno Sumarno Sumarno Sumarno Surya Darma Wanto, Anjar Wendi Robiansyah Widodo Saputra Yogi Prayoga Zulaini Masuro Nasution