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All Journal 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) 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 (JPkMN) 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) Multidisiplin Pengabdian Kepada Masyarakat (M-PKM)

Paska Marto Hasugian

Unknown Affiliation

Author-ID : 3370516

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 64 Documents Claim Missing Document

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Articles

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Improving the Quality of Digital Images Using the Median Filter Technique to Reduce Noise Prasetio, Annas; Hasugian, Paska Marto
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

The combination of point, line, shape and color elements combined to create a physical imitation of an object is called an image. The arrangement of the box elements in the image forms pixels or matrices. each image experiences degradation or loss of quality called noise. The effect of gaussian noise is the number of colored dots that are equal to the percentage of noise. This study raises the topic of improving the quality of digital images using median filter techniques to reduce noise. In this study using color image data (Red Green Blue) as test data and then converted into grayscale images to determine the gray degree of the image. The grayscale image is stored in the database. Then noise is generated by using random numbers. Noise in the form of impulse can be positive or negative in the form of adding pixel values to the original image, or it can reduce the value of the original image. The noise type used is salt & pepper. Gray degrees 0-255 spread. Can be calculated through image histograms. To reduce noise the median filter technique is used. Image histogram as a measure of the spread of numbers from the median filter. The result is a median filter can reduce noise salt and pepper by using a matrix kernel.

PELATIHAN MICROSOFT OFFICE UNTUK GURU-GURU SE-KECAMATAN NAMORAMBE Fricles A Sianturi; Paska Marto Hasugian; Bosker Sinaga
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 1 No. 1 (2019): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Jurnal Pengabdian kepada Masyarakat Nusantara

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

Sesuai dengan judul program pengabdian masyarakat ini, metode penerapan ipteks yang dilakukan adalah berbentuk pelatihan pengenalan microsoft office untuk guru â€“ guru se-Kecamatan Namorambe. Kegiatan pelatihan keterampilan ditunjang dengan ceramah, tanya jawab dan tentu saja praktek secara langsung di laboratorium komputer SMPN 1 Namorambe. Modul pelatihan akan diberikan kepada peserta sebagai alat bantu dalam kegiatan praktek di laboratorium. Tujuan dari pelaksanaan program pengabdian masyarakat ini adalah untuk meningkatkan keterampilan Microsoft Office bagi Guru Guru SMPN se-Kecamatan Namorambe

Best Cluster Optimization with Combination of K-Means Algorithm And Elbow Method Towards Rice Production Status Determination Paska Marto Hasugian; Bosker Sinaga; Jonson Manurung; Safa Ayoub Al Hashim
International Journal of Artificial Intelligence Research Vol 5, No 1 (2021): June 2021
Publisher : STMIK Dharma Wacana

Indonesia is the third-largest country in the world with rice production reaching 83,037,000 and became the highest production in southeast Asia spread in several provinces in Indonesia The problem found that such product has not been able to cover the needs of Indonesian people with a very high population so that in the research conducted information excavation to generate potential to the pile of data that has been described and analyzed by BPS with clustering topics. Clustering will help related parties, especially the ministry of agriculture, in determining land development priorities and can minimize the shortage of rice production nationally. Grouping process by involving the K-means algorithm to group rice production with a combination of the elbow method as part of determining the number of clusters that will be recommended with attributes supporting the area of harvest, productivity, and production. Method of researching with data cleaning activities, data integration, data transformation, and application of K-means with a combination of elbow and pattern evaluation. The results achieved based on the work description with a combination of K-Means and elbow provide cluster recommendations that are the best choice or the most optimal is iteration 2 which is the lowest rice production group with a total of 22 provinces, rice production with a medium category of 9 and production with the highest category with 3 regions

Analisis Algoritma C4.5 Dan Fuzzy Sugeno Untuk Optimasi Rule Base Fuzzy Jonson Manurung Jonson Manurung; Bosker Sinaga Bosker Sinaga; Paska Marto Hasugian Paska Marto Hasugian; Logaraj Logaraj; Sethu Ramen Sethu Ramen
Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) Vol. 5 No. 2 (2022): Jurnal Sistem Informasi dan Ilmu Komputer Prima (JUSIKOM Prima)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2488

Logika fuzzy dapat mengatasi ketidakmampuan matematika konvensional untuk model sistem nonlinear. Fuzzy sugeno merupakan salah satu metode yang sering digunakan dalam logika fuzzy. Penggunaan metode sugeno dapat mengatasi masalah sistem non linear. Kelemahan dari logika fuzzy adalah meningkatnya beban komputasi yang bertambah secara eksponensial seiring dengan bertambahnya jumlah variabel dan jumlah aturan dalam logika fuzzy. Beberapa cara telah dilakukan oleh para peneliti sebelumnya untuk mengurangi beban komputasi, diantaranya dengan mengurangi sejumlah aturan dalam logika fuzzy. Mengurangi sejumlah aturan akan berdampak pada tingkat akurasi fuzzy yang berkurang. Pada penelitian ini, menggunakan algoritma C4.5 sebagai optimasi rule fuzzy. Hasil perbandingan metode fuzzy sugeno yang diintegrasikan dengan algoritma C4.5 mendapatkan hasil akurasi sebesar 88,57 %. Jumlah luaran yang awalnya 288 rule menjadi hanya 57 rule, hal tersebut menyebabkan beban komputsi berkurang. Disamping beban komputasi yang berkurang, hal tersebut berdampak pada berkurangnnya tingkat akurasi.

Peningkatan Pelayanan Perpustakaan STMIK Pelita Nusantara Dengan Metode OPAC Paska Marto Hasugian; Arvind Roy; Dharma Rajen Kartighaiyan
Jurnal Media Informatika Vol. 2 No. 1 Desember (2020): Jurnal Media Informatika (JUMIN)
Publisher : Jurnal Media Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v2i1 Desember.194

Tubercolosis adalah infeksi yang disebabkan oleh basil tahan asam ( BTA ). Tubercolosis merupakan penyakit menular yang apat menyerang siapa saja melalui udara. Penyakit tuberculosis merupakan penyakit menular yang berbahaya. Tuberculosis merupakan penyakit menahun atau kronis yang bisa menyerang antar usia 15-35 tahun. Cara mendiagnosa penyakit Tubercolosis adalah dengan cara pakar ahli mewawancari kemudian menguji sampel dahak dengan menggunakan laboratorium untuk mengetahui positif atau negatif penyakit Tubercolosis sehingga memerlukan waktu yang lama. Oleh karena itu dibutuhkan sebuah Sistem Pakar dengan metode Bayes untuk memudahkan dalam mendiagnosa penykit Tubercolosis . Sistem pakar ini dikembangkan menggunakan bahasa pemrograman Microsoft Visual Studio 2010 serta dengan menggunakan database Microsoft Access 2010.

Aplikasi Pembelajaran Berbasis Mobile Paska Marto Hasugian
Cetta: Jurnal Ilmu Pendidikan Vol 1 No 3 (2018)
Publisher : Jayapangus Press

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

Current technological developments cannot be avoided from various aspects of both the industrial, governance and education world. One of the most rapid developments in terms of technology is mobile devices or often referred to as mobile with various versions up to smartphones with Android information systems. According to the Indonesian research institute, it is the sixth country for smartphone users in the world to spread users ranging from teenagers to old age. This development certainly has a great impact on the development of users in general students. From the process developed an application with the help of mobile devices with the concept that users in this case students or students can learn without being limited by time and distance. So that the learning process continues well.

Sistem Pendukung Keputusan Penentuan Kelayakan Perkreditan Anggota Koperasi (Studi Kasus Pada Koperasi Kozero) Fricles Ariwisanto Sianturi; Paska Marto Hasugian
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 2 No. 1 Tahun 2017
Publisher : LPPM UNIKA Santo Thomas

Abstrak Koperasi Kozero haruslah memikirkan strategi dalam pemasaran untuk mempertahankan anggota lama dan menarik perhatian bagi perkreditan anggota baru. Jenis koperasi yang di tawarkan saat ini sangatlah bervariatif, seperti Koperasi Produksi, Koperasi Konsumsi, Koperasi Simpan Pinjam (KSP), dan Koperasi Serba Usaha (KSU). Untuk dapat bertahan menghadapi masalah tersebut, tidak cukup hanya dengan memberi pelayanan kepada nasabah. Metode TOPSIS adalah salah satu metode yang bisa membantu proses pengambilan keputusan yang optimal untuk menyelesaikan masalah keputusan secara praktis. Hal ini disebabkan karena konsepnya sederhana dan mudah dipahami, komputasinya efisien dan memiliki kemampuan untuk mengukur kinerja relatif dari alternatif-alternatif keputusan dalam bentuk matematis yang sederhana.

Implementasi Algoritma Rough Set Untuk Memprediksi Jumlah Pendaftar Siswa Baru Pada SMK Swasta Sinar Harapan Sinta Novianti; Paska Marto Hasugian
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

ABSTRACT Where the number of new student registrants at the Sinar Harapan Private Vocational School is unstable every year and the school has difficulty predicting how many new student registrants will be in the coming year and preparing extracurricular activities such as English/computer training or the best facilities for new students such as chairs, tables, classrooms and so on, as well as the competitiveness of private schools in the district. banyan. So we need a system that can dig up data and help predict the number of new student registrants, using data mining techniques, namely the Rough Set Algorithm which aims to get a short rule estimate from a table, in this study using student registration data in 2018, 2019, 2020. By applying data mining with the rough set algorithm and carrying out the rough set stages, it can produce decisions in the form of generating rules (knowledge), and the results of the calculation analysis are 152 students to predict the number of students in the coming year.

IMPLEMENTATION OF TF-IDF AND COSINE SIMILARITY ALGORITHMS FOR CLASSIFICATION OF DOCUMENTS BASED ON ABSTRACT SCIENTIFIC JOURNALS Paska Marto Hasugian; Jonson Manurung; Logaraz Logaraz; Uzitha Ram
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.77 KB)

Research on one of the higher education dharmas is carried out by each lecturer and is a challenge for lecturers who pay attention to produce new and useful findings. Research results will be published in journals both nationally and internationally and one of the websites published by Ristekbirn is Sinta which includes all research works in Indonesia. The problem in this research is the accumulation of data that is getting bigger and it needs to be analyzed by utilizing text mining by searching for the resources contained in the abstract document and presenting part of the information. The purpose of this study is to classify the suitability of another document so that knowledge is found. and placement in groups according to existing topics. The process of these problems is by classifying documents based on abstracts from the publication of scientific papers. Solving these problems involves two mutually supporting algorithms, namely TD-IDF with Cosine Similarity with different tasks. TF-IDF ensures the weight of each document that can be read and read with Cosine Similarity. This research uses text mining as part of the search for related patterns and documents that have been tested. For the process of calculating the test data, 1 document and 15 documents were used as training data. With the calculation of TD-IDF the weight of each document from Q, D2 to D15 is 10,946, 28,050,27,176, 39,043, 36,535, 30,696, 25,612, 12,581, 42,335, 29,661, 33,867, 31,706, 22,654, 15,450, 59,832, 42,127, The similarity of the data is tested by determining the value of k = 4 which results in similarity to the Expert System and Cryptography, while with the selection of K = 5 with the highest similarity to the expert system..

IMPLEMENTATION OF K-NEAREST NEIGHBOR ALGORITHM TO PERFORM CLASS PLACEMENT CLASSIFICATION AT GKPI PADANG BULAN JUNIOR HIGH SCHOOL Dewi Lasmiana Panjaitan; Paska Marto Hasugian
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (215.592 KB)

Superior classes are a number of students who have outstanding abilities or achievements in these students, who are grouped in one particular class. One way that is done is the process of class placement. But at the time of class placement there are problems that arise, namely during the process of determining the class, whether students enter the superior class or ordinary classes. Students who have certain abilities will later occupy superior classes and students who do not have certain abilities do not enter the superior class. With this research will help the school in determining superior classes and ordinary classes, so that no one is harmed, which should be students who deserve to be superior classes. The purpose of this study is to implement the principle of data mining to class placement classification using the K-Nearest Neighbor Algorithm. Where the K-Nearest Neighbor Algorithm will classify objects based on learning data that is the closest to the object. Based on the results of the trial conducted by utilizing the K-NN algorithm with tested data as many as 64 data and training data as much as 82 data, it was obtained the results of class placement with students who occupy class A as many as 26 students, students who forged class B as many as 20 students and students who occupy class C as many as 18 students.

Co-Authors Agustinus Parmazatule Laia Angelia M Manurung Anju Eliarsyam Lubis Arvind Roy Betti Mastaria Br Sembiring Bobby Aris Sandy Bosker Sinaga Br Sembiring, Betti Mastaria Damianus Daha Dewi Lasmiana Panjaitan Dharma Rajen Kartighaiyan Endang Utari Endra A.P Marpaung Ferdiansyah, Rahmat Fricles Ariwisanto Sianturi Fristi Riandari Fristi Riandari Fristy Riandari Giawa, Martinus Harpingka Sibarani Harvei Desmon Hutahaean Hasugian, Penda Sudarto Hengki Tamando Sihotang Hidayati, Wenika Hutahaean, Harvei Desmon Insan Taufik Ira Mayang Sari Jijon R. Sagala Jijon Raphita Sagala John Foster Marpaung Jonson Manurung Kristian Siregar Logaraj Logaraj Logaraz Logaraz Lubis, Anju Eliarsyam Makmur Tarigan Martinus Giawa Maya Theresia Br. Barus Ndruru, Risnamawati Nera Mayana Br.Tarigan Nico Setiawan Nurayni Sinabang Pandi Barita Nauli Simangunsong Penda Sudarto Hasugian Petti Indrayati Sijabat Prasetio, Annas R. Mahdalena Simanjorang Rahmat Ferdiansyah Riana Risnamawati Ndruru Ritha Zahara Tarigan Rizki Manullang Romauli Sianipar Safa Ayoub Al Hashim Sandy, Bobby Aris Sarinah Sitanggang Sethu Ramen Sethu Ramen Sethu Ramen Setiawan, Nico Sinaga, Sony Bahagia Sinta Novianti Siregar, Vanessa Sony Bahagia Sinaga Sri Wahyuni Uzitha Ram Vanessa Siregar Venentius Purba Vina Winda Sari Wenika Hidayati Widia Putri Yuda Perwira

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