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All Journal Bulletin of Electrical Engineering and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Jurnal Mantik Penusa Cetta: Jurnal Ilmu Pendidikan Jurnal Teknik Informatika UNIKA Santo Thomas JIPN (Journal of Informatics Pelita Nusantara) Jurnal Nasional Komputasi dan Teknologi Informasi JURIKOM (Jurnal Riset Komputer) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) INFOKUM JUKI : Jurnal Komputer dan Informatika BERNAS: Jurnal Pengabdian Kepada Masyarakat Login : Jurnal Teknologi Komputer MEANS (Media Informasi Analisa dan Sistem) Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Media Informatika Jurnal Info Sains : Informatika dan Sains DISTANCE: Journal of Data Science, Technology, and Computer Science Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Ulead : Jurnal E-pengabdian Jurnal Pendidikan LLDIKTI Wilayah I (JUDIK) Multidisiplin Pengabdian Kepada Masyarakat (M-PKM) Jurnal Komputer Indonesia (JU-KOMI) "Journal of Data Science Journal Majelis Paspama Jurnal Bioteknologi & Biosains Indonesia
Hasugian , Paska Marto
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APRIORI ALGORITHM TESTING USING THE RAPIDMINER APPLICATION Paska Marto Hasugian; Pandi Barita Nauli Simangunsung
Jurnal Info Sains : Informatika dan Sains Vol. 13 No. 01 (2023): Jurnal Info Sains : Informatika dan Sains , Maret 2023
Publisher : SEAN Institute

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Abstract

In this study, the Apriori algorithm was tested using the RapidMiner application. Apriori algorithm is one of the algorithms used in association analysis in data mining. The purpose of this research is to test the performance of Apriori algorithm in identifying association patterns in the given dataset. The research method used is experimentation using relevant datasets. Testing is done by implementing the Apriori algorithm in the RapidMiner application, which provides a visual interface and various functions for data analysis. During testing, adjustments were made to Apriori algorithm parameters, such as support and confidence, to optimize analysis results. The data generated from the tests were evaluated to determine significant association patterns. The test results show the success rate of the Apriori algorithm in identifying association patterns in the given dataset. The performance evaluation of the algorithm is done based on relevant metrics, such as accuracy, execution speed, and association pattern quality score. The conclusion of this research is that testing the Apriori algorithm using the RapidMiner application can provide adequate results in association analysis. This research has important implications in the field of data mining and association analysis, especially in the use of the Apriori algorithm using the RapidMiner application. It is hoped that this research can contribute to the development of association analysis techniques and improve understanding of the performance of the Apriori algorithm in the context of its use in practical applications.
Enkripsi Database Sekolah SMK Pembangunan Dengan Algoritma IDEA Devlin Iskandar Saragih; Paska Marto Hasugian
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2704

Abstract

One of the algorithms in cryptography that can be used for school database security is the IDEA (International Data Encryption Algorithm) algorithm. The IDEA algorithm is one of the cryptographic algorithms that has various applications in secure data transmission in the scope of networks and distributed measurement systems. Encryption results appear in the form of a notepad. The Open data button is used to find data that will be used for the encryption process. The key checklist is used to input the key length that will be used for the encryption decryption security process. The system displays the IDEA Cryptographic key, can use the IDEA Cryptographic key, the encryption and decryption change process is clearly visible. Encryption is done on the SMK Pembangunan school database with IDEA algorithm and designing the student database encryption application based on the name of the SMK Pembangunan using Visual Basic programming language.
Sistem Pendukung Keputusan Menentukan Tingkat Resiko Penjualan Online Dengan Menggunakan Metode TOPSIS Yosapat Sembiring; Paska Marto Hasugian
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2660

Abstract

At this time many people have started selling online. Even though only with makeshift items to make online sales, not a few people have succeeded in making these online sales. The TOPSIS method is one of the multicriteria decision-making methods, this method is one that is widely used to complete practical decision making. The more factors that must be considered in the decision making process, the more difficult it will be to make a decision on an issue. identification of research problems is the application of the DSS in determining the level of risk of online sales. This system was built using the PHP programming language with data management using the MySQL database. Rank results 1. Furniture = 0.8062 2.Electronics = 0.5810 3. Fashion = 0.1230
Penerapan Metode Weight Product (WP) Untuk Menentukan Pengalokasian Pendistribusian Telur Terbaik Di Kecamatan Pantai Labu Prawita Ardella; Paska Marto Hasugian
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i1.2669

Abstract

Distribution is an important thing in business activities, especially for distribution companies or distributors. Delays in distribution will reduce customer service levels. The method used is WP (Weighted Product), because Weighted product is one of the right choice of method to solve complex problems and Weighted Product can produce structured calculations on problems that have sub-sub-criteria for the decision to be built. from this research is to determine the best egg distribution location in the pumpkin beach district using the Weighted Product (WP) method. The Weighted Product (WP) method is a multi-criteria analysis decision and is a multi-criteria decision-making method. WP is a set of alternative decisions described in terms of several criteria. In the WP method there is no need for matrix manipulation because this method multiplies the assessment results of each attribute. The results of the research are based on the results of the ranking using the Weighted Product (WP) method to determine the best distribution location in the pumpkin beach district, so the greatest value is Grosir 2 with a value of 0.2309 which can be chosen to be the best distribution location. weights so that they can be used with that method.
PENGEMBANGAN JURNAL ILMIAH ONLINE PADA SEKOLAN TINGGI TEOLOGIA BETHEL MEDAN Paska Marto Hasugian
Multidisiplin Pengabdian Kepada Masyarakat Vol. 2 No. 02 (2023): Multidisiplin Pengabdian Kepada Masyarakat, July 2023
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/pkm.v2i02.2842

Abstract

This community service aims to document the process of developing an online scientific journal as an effort to expand the impact of academic knowledge from Bethel College of Theology (STT) in Medan. Through a collaborative approach, this research involved faculty members and administrative staff in developing an effective and accessible online scientific journal platform. The development process included needs analysis, interface design, technical development, and pilot testing and evaluation. The outcome of this service was the launch of a scientific journal platform that facilitates publication, peer-review, and knowledge exchange digitally. It is hoped that this initiative will enrich the quality of research and scientific understanding among students, lecturers, as well as the academic community, while making a sustainable contribution to the development of knowledge in the field of theology and religion.
PELATIHAN PENGGUNAAN MEDIA PEMBELAJARAN UNTUK GURU SEKOLAH DASAR PUTRI DELI NAMORAMBE Paska Marto Hasugian
Multidisiplin Pengabdian Kepada Masyarakat Vol. 3 No. 01 (2024): Multidisiplin Pengabdian Kepada Masyarakat 2024
Publisher : Sean Institute

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Abstract

Pelatihan penggunaan media pembelajaran digital bagi guru sekolah dasar bertujuan untuk meningkatkan pemahaman dan kompetensi guru dalam mengintegrasikan teknologi digital ke dalam proses pembelajaran. Dalam konteks pendidikan masa kini yang semakin didorong oleh perkembangan teknologi, penggunaan media pembelajaran digital menjadi suatu keharusan untuk meningkatkan efektivitas pembelajaran. Melalui serangkaian aktivitas yang terstruktur, peserta pelatihan akan diberikan pemahaman mendalam tentang pentingnya media pembelajaran digital serta praktik-praktik terbaik dalam penerapannya. Pelatihan ini mencakup pemahaman tentang berbagai jenis media pembelajaran digital, strategi integrasi ke dalam rencana pembelajaran, dan keterampilan pemilihan serta evaluasi media pembelajaran yang sesuai dengan kebutuhan pembelajaran siswa. Dengan demikian, diharapkan pelatihan ini dapat memberikan dukungan yang signifikan bagi guru dalam meningkatkan kualitas pembelajaran di sekolah dasar melalui pemanfaatan teknologi digital secara efektif.
Bibliometric Analysis On Techniques For Data Visualization Paska Marto Hasugian; Berto Nadeak
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition March 2024
Publisher : SEAN Institute

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Abstract

The objective of this paper is to conduct an in-depth bibliometric analysis of various techniques used in data visualization. The methodology involves collecting and analyzing bibliographies and relevant scientific publications related to data visualization techniques, specifically Multidimensional Scaling (MDS), Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), T-Distributed Stochastic Neighbor Embedding (T-SNE), Tree Map (TMAP), Uniform Manifold Approximation (UMAP). The findings from this analysis are expected to provide a comprehensive overview of trends, patterns, and developments in data visualization techniques within the scholarly literature. However, this research has limitations, such as the availability of data and bibliometric methodology constraints. The social implications of an in-depth understanding of these data visualization techniques may contribute to enhancing broader understanding and application across various fields, spanning from sciences to industries. The novelty of this research lies in its comprehensive approach to bibliometric analysis, particularly focusing on data visualization techniques, and the value of this research resides in its contribution to knowledge that can serve as a foundation for further developments in the domain.
Pattern Recognition in Medical Images Through Innovative Edge Detection with Robert's Method Simangunsong, Pandi Barita Nauli; Hasugian, Paska Marto
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition March 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/infosains.v14i01.4080

Abstract

This research introduces an innovative approach for pattern recognition in medical images through the application of Robert's edge detection method. Pattern recognition in medical images has great significance in disease diagnosis and patient care management. Edge detection is an important stage in image processing which aims to determine the boundaries of objects in the image. Robert's edge detection method is one of the classic methods that has been used in image processing. However, improving edge detection performance is needed to improve accuracy in pattern recognition in medical images. In this study, we propose a modified variation of Robert's method to increase the accuracy in finding edges in medical images. The proposed innovative approach is tested using a large and diverse medical image dataset. Evaluation is carried out by comparing the edge detection results using the conventional Robert method with the results using the proposed modified method. Quantitative analysis is carried out to measure the performance improvements achieved. Experimental results show that the modified Robert edge detection method produces significant improvements in precision and accuracy in finding edges in medical images. These results indicate that the proposed innovative approach has the potential to improve pattern recognition in medical images and can make valuable contributions in the diagnosis and management of diseases.
The Role Of Computer Technology In Environmental Health Monitoring And Management Paska Marto Hasugian
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 03 (2024): Informatika dan Sains , Edition July - September 2024
Publisher : SEAN Institute

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Abstract

Environmental health is gaining prominence on the global agenda due to the serious impact of increasing air, water and land pollution on human health. Computer technology offers a potential solution by enabling more accurate and efficient data collection, more comprehensive data analysis, and more informed decision making. This research aims to understand the role of computer technology in monitoring and managing environmental health in detail. Using qualitative methods, data from various sources is analyzed to provide in-depth understanding and recommendations for stakeholders. The research results show an increase in the use of computers and technology in monitoring, modeling and predicting environmental hazards, as well as their support for environmental health policy decision making. However, challenges such as cost, data privacy and coordination between institutions need to be overcome for this technology to provide maximum benefit to society as a whole.
Analysis of Student Achievement with K-Means on Socioeconomic, Behavioral, and Psychological Factors Muhammad Iqbal; Sardo Pardingotan Sipayung; Alex Rikki Sinaga; Paska Marto Hasugian
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 04 (2024): Informatika dan Sains , 2024
Publisher : SEAN Institute

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Abstract

This study aims to analyze students' academic achievement based on socio-economic, behavioral, and psychological factors using the K-Means clustering method. The data used include various variables such as family income, internet access, learning motivation, stress levels, and student attendance. The results of the analysis show that students can be grouped into three different clusters: Cluster 1 consists of students with good socio-economic backgrounds, high motivation, and better academic achievement; Cluster 2 shows students with higher levels of stress that affect their achievement even though they have adequate access to education; and Cluster 3 reflects students from less supportive socio-economic backgrounds, with limited internet access and low study time, so their achievement is lower than other clusters. The Davies-Bouldin Index (DBI) calculation result of 0.63 shows a fairly good cluster separation. This analysis reveals that socio-economic factors have a significant impact on students' academic achievement, while psychological aspects such as motivation and stress levels also play an important role in determining learning success. Intervention programs focused on stress management and increasing access to education are recommended for students from Cluster 2 and Cluster 3 to improve their academic outcomes. This study provides insight into the importance of socio-economic and psychological factors in shaping students' academic achievement.
Co-Authors Agustinus Parmazatule Laia Al Hashim, Safa Ayoub Alex Rikki Angelia M Manurung Anju Eliarsyam Lubis Annas Prasetio Arvind Roy Baehaqi Batubara, Muhammad Iqbal Betti Mastaria Br Sembiring Bobby Aris Sandy Bosker Sinaga Bosker Sinaga, Bosker Sinaga Br Ginting, Anirma Kandida Br Sembiring, Betti Mastaria Cinthya Agatha Sinaga Damianus Daha Devlin Iskandar Saragih Dewi Lasmiana Panjaitan Dharma Rajen Kartighaiyab Dharma Rajen Kartighaiyan Efendi, Syahril Endang Utari Endra A.P Marpaung Fenius Halawa Ferdiansyah, Rahmat Fristi Riandari Fristy Riandari Giawa, Martinus Hanum, Rahmadiah Harefa, Ade May Luky Harpingka Sibarani Hasugian, Penda Sudarto Hengki Tamando Sihotang Herman Mawengkang Hidayati, Wenika Hutahaean, Harvei Desmon Hutahaean, Harvei Desmon Insan Taufik Ira Mayang Sari Jijon R. Sagala Jijon Raphita Sagala John Foster Marpaung Kristian Siregar Logaraj Logaraj Logaraj, Logaraj Logaraz Logaraz Lubis, Anju Eliarsyam Makmur Tarigan Manurung, Jonson Martinus Giawa Maya Theresia Br. Barus MIFTAHUL JANNAH Nababan, Adli Abdillah NASUTION, ATIKA AINI Ndruru, Risnamawati Nera Mayana Br.Tarigan Nico Setiawan Nurayni Sinabang Pandi Barita Nauli Simangunsung Penda Sudarto Hasugian Poltak Sihombing Prawita Ardella R. Mahdalena Simanjorang Rahmat Ferdiansyah Riana Riki Ristanto Risnamawati Ndruru Ritha Zahara Tarigan Rizki Manullang Romanus Damanik Romauli Sianipar Sandy, Bobby Aris Sethu Ramen Sethu Ramen, Sethu Ramen Setiawan, Nico Siagian, Novriadi Antonius Sijabat, Petti Indrayati Simangunsong, Pandi Barita Nauli sinaga, lotar mateus Sinaga, Sony Bahagia Sinaga, Sony Bahagia Sinta Novianti, Sinta Sipayung, Sardo Sipayung, Sardo Pardingotan Siregar, Vanessa Sitanggang, Sarinah Situmorang, Caesar Juanda Theodorus Sri Wahyuni TONNI LIMBONG Uzitha Ram Vanessa Siregar Venentius Purba Wenika Hidayati Widia Putri Yosapat Sembiring Yuda Perwira Yuni Asri Yusi Tri Utari Panggabean