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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Ilmiah Media Sisfo IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Jurnal Mantik JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) JUKI : Jurnal Komputer dan Informatika Jurnal Scientia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Social Responsibility Projects by Higher Education Forum Bulletin of Information Technology (BIT) Prosiding Snastikom Jurnal ABDIMAS Budi Darma Bulletin of Data Science Jurnal Nasional Teknologi Komputer Journal of Informatics, Electrical and Electronics Engineering Journal Global Technology Computer Jurnal Sains dan Teknologi Informasi Bulletin of Artificial Intelligence ORAHUA : Jurnal Pengabdian Kepada Masyarakat Journal of Decision Support System Research Jurnal Mitra Pengabdian Farmasi Jurnal Komtika (Komputasi dan Informatika)
Dito Putro Utomo
Politeknik Negeri Medan, Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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SISTEM PAKAR MENDETEKSI KERUSAKAN TONER DENGAN MENGGUNAKAN METODE CASE BASED-REASONING Utomo, Dito Putro; Nasution, Surya Darma
JURIKOM (Jurnal Riset Komputer) Vol 3, No 5 (2016): Oktober 2016
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (296.657 KB) | DOI: 10.30865/jurikom.v3i5.65

Abstract

Sistem pakar merupakan sebuah sistem komputerisasi yang banyak digunakan dan berkembang saat ini dengan tujuan utamanya memindahkan pengetahuan/keahlian seorang pakar yang dituangkan kedalam bentuk sistem yang terkomputerisasi. Khususnya ditujukan dan digunakan untuk orang awam yang berguna untuk membantu tanpa harus membutuhkan seorang pakar untuk menyelesaikan permasalahan yang ada dengan maksud untuk menghemat atau mengefisiensikan waktu. Printer laser jet masih banyak digunakan pada perusahaan – perusahaan saat ini dengan keuntungan yang banyak didapat salah satunya menekan biaya pengeluaran dikarenakan printer laser jet menggunakan tinta toner yang dapat diisi ulang tanpa harus membeli yang baru. Tetapi toner ini tidak terlepas dari kerusakan – kerusakan yang sering terjadi dan mengganggu kelangsungan aktifitas di perusahaan khususnya didalam mencetak (print) berkas/dokumen. Dengan segala permasalahan yang diuraikan diatas ada suatu penyelesaian masalah tersebut yaitu dengan menggunakan metode case based reasoning yang merupakan sebuah metode digunakan didalam sistem pakar untuk memecahkan permasalahan yang ada, metode case based reasoning merupakan metode yang didalam menyelesaikan masalah yang ada dengan memanfaatkan kejadian – kejadian yang telah terjadi dahulu untuk kembali dicocokan pada kejadian – kejadian yang baru terjadi. Kata Kunci : Sistem Pakar, Toner Printer, Metode Case Based-Reasoning.
Analisis Komparasi Metode Klasifikasi Data Mining dan Reduksi Atribut Pada Data Set Penyakit Jantung Utomo, Dito Putro; Mesran, Mesran
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i2.2080

Abstract

Heart disease is a disease with a high mortality rate, there are 12 million deaths each year worldwide. This is what causes the need for early diagnosis to find out the heart disease. But the process of diagnosis is quite challenging because of the complex relationship between the attributes of heart disease. So it is important to know the main attributes that are used as a decision making process or the classification process in heart disease. In this study the dataset used has 57 types of attributes in it. So that reduction is needed to shorten the diagnostic process, the reduction process can be carried out using the Principal Component Analysis (PCA) method. The PCA method itself can be combined with data mining calcification techniques to measure the accuracy of the dataset. This study compares the accuracy rate using the C5.0 algorithm and the Naïve Bayes Classifier (NBC) algorithm, the results obtained both after and before the reduction are Naïve Bayes Classifier (NBC) algorithms that have better performance than the C5.0 algorithm
Reduksi Atribut Pada Dataset Penyakit Jantung dan Klasifikasi Menggunakan Algoritma C5.0 Utomo, Dito Putro; Sirait, Pahala; Yunis, Roni
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 4 (2020): Oktober 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i4.2355

Abstract

Coronary heart disease, commonly referred to as cardiovascular, heart disease is a disease with a high mortality rate. Thus diagnosis is very important and is an important area of medical research. In the diagnostic process, the most frequently encountered problems are time in making decisions and the lack of accuracy in the classification process. Attributes are important in making decisions on heart disease so it is necessary to know the main attributes of heart disease. Often different results are obtained in the diagnostic process due to the many attributes used in decision making. So it is necessary to do a reduction process in the attributes of heart disease. Principal Component Analysis (PCA) method can be used for data reduction with large dimensions and ranking the attributes to be reduced. The classification process can be done using the C5.0 Algorithm and getting a level of accuracy in the classification process. The results obtained in this study reduce the 12 attributes of the heart disease dataset and classify them with a combination of attributes after the reduction process is carried out. The results obtained with the highest level of accuracy when classifying with 11 attribute combinations where there is 1 attribute that is reduced, the accuracy rate obtained is 89.11%.
Penerapan Algoritma Stout Codes Untuk Kompresi Record Pada Databade Di Aplikasi Kumpulan Novel Lamsah, Lamsah; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2711

Abstract

The large amount of data that has been stored in the memory or hard drive will increase the amount of usage capacity on the storage media. Large file sizes can also affect data transfer between storage media, so a compression technique is needed to compress records in the database in a novel collection application so that the space required for storage is smaller. The solution to this problem is that the database records can be compressed in order to speed up the transfer and storage of database records. Compression of the database record can be done by reducing the file size by reducing the bits in the database record, but not eliminating or creating a corrupted record. By compressing, large data will be reduced in size so as to save storage space. In this research, the algorithm used is Stout code, by using this algorithm, the compression results of the values have different results for each value, and the compression results will make sending and moving database records easier.Keywords: Compression, Records, Database, Novel, Stout Code Algorithm.
Penarapan Algoritma Prefix Code Dalam Kompresi Data Teks Saragih, Soumi Rohmah; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2691

Abstract

Data compression technology is the process of converting a set of data into a lower coded representation of data that is not encoded with a certain encoding. Data compression is done by encoding each character into a shorter coded message, in order to save storage space requirements and time for data transmission. Compression is used to speed up the process of sending from uncoded characters to certain encoded characters. By compressing, large data will be reduced in size so as to save storage capacity. In this study the authors use the Prefix Code algorithm, using this method the compression results are very good in transmitting data and moving text data allocations easier and faster. By compressing, large data will be reduced in size so as to save storage space. There are many types of methods or algorithms in text data compression, but in this algorithm the writer only wants to know the compression process using the Prefix Code algorithm using C1 code where the author has succeeded in compressing text data with the prefix code algorithm using C1 code has the ability to compress text data by 58.3% on a text data.Keywords: Compression, Text, Data, Prefix Code, Algorithm.
Analisis Perbandingan Algoritma Even-Rodeh Code Dan Algoritma Subexponential Code Untuk Kompresi File Teks Ihsan, Ihsan; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2684

Abstract

The need for greater data storage capacity is the cause of the emergence of various compression techniques. By compressing, large data will be reduced in size so that it can save storage capacity. Text file is a collection of characters or strings that become one unit. The solution to this problem is, how to find out which algorithm is more efficient in compressing text files between the two algorithms by comparing the performance of the two algorithms based on several parameters, namely Ratio of Compression, Compression Ratio and Space Saving. In this study, a comparison between the Even-Rodeh Code and Subexponential Code algorithms was conducted to determine the compression performance of the text file, so that in this study we were able to learn which algorithm was better used for compressing text files between the two algorithms.Keywords: Compression, File Teks, Algoritma Even-Rodeh Code, Algoritma Subexponential Code
Sistem Pendukung Keputusan Penempatan Mentor Pada Pusat Pengembangan Anak IO 558 Sangkakala Medan Menggunakan Metode CPI dan ROC Sarumaha, Lukas; Buulolo, Efori; Sihite, A. M. Hatuaon; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2713

Abstract

Mentor placement at the IO 558 Sangkakala Medan Child Development Center sometimes finds it difficult to place and evaluate the results of the data directly. Sometimes there is a placement error that can make the results of the work given not optimal, this can hinder the performance of the mentor. Therefore, we need a decision support system that can make the mentor placement process easier. Decision Support Systems are computer-based systems capable of solving unstructured problems. Rank Order Centroid is used as a method for weighting the criteria. While the Composite Performance Index method is a method based on the combined performance index of various alternatives against non-uniform criteria.Keywords: Decision Support System, Placement, Mentor, CPI, ROC
Sistem Pendukung Keputusan Penerimaan Karyawan Perjanjian Kerja Waktu Tertentu (Pkwt) Menggunakan Metode Ocra (Studi Kasus : Pt. Perkebunan Nusantara V Tandun, Riau) Oktari, Nona; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 5, No 1 (2021): Peran Generasi Milenial Bertalenta Digital Pada Era Society 5.0
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v5i1.3651

Abstract

Karyawan Perjanjian Kerja Waktu Tertentu (PKWT) atau bisa juga disebut sebagai karywan kontrak dalam sebuah perusahaan diperkerjakan untuk membantu pekerjaan dalam perusahaan, tetapi tidak bisa dipastikan bagaimana kelangsungan kerjanya dikarenakan sifatnya hanya sebagai karyawan sementara. Dalam artian, setelah kontrak habis, perusahaan bisa saja memperpanjang atau memperbaharui kontrak atau mengangkat karyawan kontrak tersebut sebagai karyawan tetap, dengan melihat bagaimana keaktifan kerja karyawan tersebut. Dalam proses penyeleksian penerimaan karyawan PKWT, pihak perusahaan harus menyeleksi calon pelamar secara objektif  sehingga akan mendapatkan hasil yang sesuai dengan kriteria yang diinginkan. Didalam proses penerimaan karyawan PKWT masih memiliki beberapa masalah, yaitu dikarenakan banyaknya calon pelamar sehingga menghabiskan waktu yang cukup lama dalam penyeleksiannya. Masalah yang selanjutnya ialah dalam proses penyeleksiannya masih terlihat kurang efesien dan membutuhkan waktu, karena dalam penilaian dan perhitungan hasil penentuan karyawan PKWT dilakukan secara bertahap, seperti penyeleksian berkas, wawancara dan lain sebagainya. Sehingga,kemungkinan besar dapat menimbulkan kesalahan dalam hasil akhir dari penentuan karyawan PKWT sering tidak memenuhi kriteria yang dibutuhkan oleh perusahaan serta menghambat kinerja perusahaan. Maka dari itu, dibutuhkan sebuah Sistem Pendukung Keputusan (SPK) untuk mengatasi masalah yang terjadi dalam penerimaan Karyawan Perjanjian Waktu Tertentu (PKWT) dengan menggunakan metode OCRA. Metode OCRA adalah salah satu metode dari Sistem Pendukung Keputusan, dimana metode ini mengambil keputusan dengan cara perankingan dari nilai yang terkecil sampai nilai yang terbesar. Dengan adanya sistem ini diharapkan mampu mendapatkan sistem keputusan yang optimal serta dapat meminimlisir kinerja dari perusahaan tersebut dalam proses penerimaan Karyawan  Perjanjian Kerja Waktu Tertentu (PKWT).
ANALISA TESTIMONIAL DENGAN MENGGUNAKAN ALGORITMA TEXT MINING DAN TERM FREQUENCY- INVERSE DOCUMENT FREQUENCE (TF-IDF) PADA TOKO ALLMEEART Simatupang, Meylita Putri; Utomo, Dito Putro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1697

Abstract

E-commerce or often referred to as an online shop is the latest trend of the community in carrying out shopping activities, first before the rise of e-commerce companies like today the community to meet their needs still rely on distros around the customer lives, or to a shopping place but now it has switch to shoop online. The advantages offered by online shoop are the relatively low prices, no need to shop locations, and guarantee goods, it has an impact on retail shops that are increasingly lonely. Testimonials are one of the techniques carried out to convince customers to shop at e-commerce they have, testimonials are the responses of buyers for their experience of shopping in an e-commerce application starting from the payment process until the goods are received, the more positive experiences conveyed in the testimonials, the customer who have not shopped on an e-commerce application will be more convinced to shop. Testimonials on an e-commerce application are not always positive, there are times when testimonials are delivered by negative buyers. The customer's problem is the unavailability of percentages or information on the number of buyers with positive and negative shopping experiences because in general testimonials are only delivered in the form of a list.Keywords:  Testimonial Analysis, Text Mining Algorithm, Term Frequency-Inverse Document Frequency (TF-IDF)
Implementation of AHP and WASPAS (Weighted Aggregated Sum Product Assessment) Methods in Ranking Teacher Performance Mesran Mesran; Suginam Suginam; Dito Putro Utomo
IJISTECH (International Journal of Information System and Technology) Vol 3, No 2 (2020): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v3i2.43

Abstract

The performance of a teacher is an outcome that is demanded by the School Principal in awarding a teacher who is at a formal level of education. In producing effective decisions on performance ratings, it is, of course, necessary to use a computer-based information system, this is known as the Decision Support System. In order for the resulting decisions to be better, using methods that can process existing data so that the method used is able to produce a final report in the form of a decision. At SD IT Al-Munadi Marelan-Medan, so far not using computer applications to help decision-makers to rank teacher performance. Although all this time the needs of the school principal are reports on the performance of teachers in schools. In the research that the authors conducted using a combination of AHP and WASPAS methods which are expected to improve the results of decisions on teacher performance ranking.
Co-Authors A M Hatuaon Sihite Abdul Karim Ade Ambarwati Br Ginting Aminuddin Aziz Annisa Apriliani Annisa Fadillah Siregar Annisah Annisah Asprina Br Surbakti, Asprina Br Atira Nabila Azlan, Azlan Bernadus Gunawan Sudarsono Bister Purba Boby Septia Pranata Br Ginting, Raheliya Butar Butar, Roi Martin Cici Alfiani Pradika Dita Dewi Maulida Sari Tanjung Dwi Asdini Efori Buulolo Eka Pratiwi Sumantri Faisal Amir Feby Ronauli Lubis, Eka Fince Tinus Waruwu Firman Telaumbanua Ginting, Winda Widia Br Guidio Leonarde Ginting Guidio Leonarde Ginting Hasibuan, Nelly Astuty Hendrikus Daely Ida Rizky Nasution Ihsan Ihsan Ilham Mubarik Ilham, Safarul Imam Saputra Imam Saputra Indini, Dwina Pri Irfan Nainggolan Iskandar Zulkarnain Johanes Mario Purba Keke Annisa Siregar Kurnia Ulfa M Mesran Manik, Lastri Meiliyani Br Ginting, Meiliyani Br Mesran, Mesran Miftahul Khairat Miko Putra Haposan Tinambunan Muhammad Syahrizal Murdani Murdani, Murdani Nainggolan, Dian Wichita Nainggolan, Laksono Nasib Marbun Nasib Sihombing Nastiti, Sindy Nelly Astuti Hasibuan Nona Oktari Noveriang Ndruru Novida Sari, Sri Nurjannah Oktari, Nona Pitriani Piliang Purba, Andrean Saputra Purba, Bister Purba, Roulina Agape Radius Kharisman Ndruru Raheliya Br Ginting, Raheliya Br Rahmi Danur, Surizar Rama Prameswara Ritonga Refika Ratna Dilla Rian Syahputra Rivalri Kristianto Hondro Rizqi Dwikunti Siregar, Dini Roni Yunis Russy Amelia Samueal Damanik Santri W Pasaribu Saragi, Naomi Labora Saragih, Soumi Rohmah Sarumaha, Lukas Sarwandi Wandi Sawitri Sawitri Selly Armasari Sihotang, Dahner Ismanda Bertenius Simatupang, Meylita Putri Sirait, Pahala Siregar, Tesa Aurelia Sitepu, Harun Rivaldo Soeb Aripin Suginam Suharti Suharti Sulistianingsih, Indri Surya Darma Nasution Susi Mardiana Giawa Sussolaikah, Kelik Tesa Aurelia Siregar Ulva Rizky Amanda Virdyra Tasril Yohana Br Ginting, Dewi Zahri Hubby Ramadhani