Article Per Year (5 Year)
p-Index From 2021 - 2026
6.535
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi dan Manajemen Informatika International Journal of Advances in Intelligent Informatics E-Dimas: Jurnal Pengabdian kepada Masyarakat International Journal of Artificial Intelligence Research Knowledge Engineering and Data Science JURNAL MEDIA INFORMATIKA BUDIDARMA International Journal of Computing and Informatics (IJCANDI) JITK (Jurnal Ilmu Pengetahuan dan Komputer) ILKOM Jurnal Ilmiah Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) EDUMATIC: Jurnal Pendidikan Informatika Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Data and Science Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat Bulletin of Culinary Art and Hospitality Jurnal Inovasi Teknologi dan Edukasi Teknik NERO (Networking Engineering Research Operation) Jurnal Informatika: Jurnal Pengembangan IT
Purnawansyah Purnawansyah
Teknik Informatika, Fakultas Ilmu Komputer, Universitas Muslim Indonesia
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Social Sciences Other

Published : 70 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 70 Documents
Search

 2   3   4   5   6 
Perbandingan Efisiensi Algoritma Sorting dalam Penggunaan Bandwidth Desi Anggreani; Aji Prasetya Wibawa; Purnawansyah Purnawansyah; Herman Herman
ILKOM Jurnal Ilmiah Vol 12, No 2 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i2.538.96-103

Abstract

The most used algorithm is the sorting algorithm. There have been many popping sorting algorithms that can be used, in this study researchers took three sorting algorithms namely Insertion Sort, Selection Sort, and Merge Sort. As for this study will analyze the comparison of execution time and memory usage by considering the number of enter data of each algorithm used. The data used in this study is ukhuwah NET network bandwidth usage data connected in the Faculty of Computer Science in the form of double data types. After implementing and analyzing in terms of execution time merge sort algorithm has a faster execution time in sorting data with an average execution time value of 108.593777 ms on the 3000 data count. While in the same amount of data for the most execution time is the Selection Sort algorithm with a large execution time of 144.498144 ms, in terms of memory usage with the amount of data3000 Merge Sort Algorithm has the highest memory usage compared to the other two algorithms which is 21,444 MB while the other two algorithms have a succession of memory usage of 20,837 MB and 20,325MB.
Aplikasi Penentuan Jenis Part Of Speech Menggunakan Metode N-Gram dan String Matching Nurzaenab Nurzaenab; Purnawansyah Purnawansyah
ILKOM Jurnal Ilmiah Vol 8, No 2 (2016)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v8i2.57.132-136

Abstract

Bahasa Inggris merupakan bahasa ibu dalam skala internasional sebagai alat komunikasi antar negara. Bahasa Inggris memiliki aturan baik dalam hal pengucapan dan penulisan disebut Grammar yang membentuk pola-pola. Pola-pola tersebut tersusun oleh setiap kata yang memiliki bentuk-bentuk tersendiri yang disebut Parts Of Speech. Bentuk dalam Parts Of Speech terbagi dalam delapan bentuk yaitu Noun (kata benda), Pronoun (kata ganti), Verb (kata kerja), Adjective (kata sifat), Adverb (kata keterangan), Preposition (kata depan), Conjuction (kata penghubung), Interjection (kata seru). Tingkat ingatan manusia tentu berbeda-beda. Ingatan untuk membedakan kata-kata dan pembentukan pola kalimat dalam part of speech. Setiap kata akan ditentukan jenis part of speech-nya, tergantung dari inputan user. Sedangkan pola kalimat akan di tentukan sesuai inputan user berdasarkan part of speech-nya. Perancangan dilakukan menggunakan metode uni-gram dan String Matching (Knuth Morris Pratt).
Metode Double Exponential Smoothing pada Sistem Peramalan Tingkat Kemiskinan Kabupaten Pangkep Nur Almar' Atussaliha; Purnawansyah Purnawansyah; Herdianti Darwis
ILKOM Jurnal Ilmiah Vol 12, No 3 (2020)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i3.607.183-190

Abstract

Peramalan adalah kegiatan memperkirakan kejadian yang akan terjadi berdasarkan historical data kuantitatif suatu kejadian. Peramalan sering digunakan oleh pemerintah dalam membuat suatu kebijakan. Salah satu kebijakan pemerintah adalah menurunkan angka kemiskinan setiap tahunnya. Penelitian ini bertujuan untuk membangun sistem Peramalan Tingkat Kemiskinan Kabupaten Pangkep berbasis desktop untuk memberikan gambaran jumlah tingkat kemiskinan periode selanjutnya. Dalam penelitian ini, metode peramalan yang digunakan adalah Double Exponential Smoothing dengan nilai alpha 0.001, 0.01, 0.2, 0.3, 0.5, 0.7, 0.8, 0.99, dan 0.999. Dengan menggunakan data angka kemiskinan dari tahun 2010 sampai 2019, diperoleh bahwa dari 9 nilai alpha yang digunakan, tingkat kesalahan terkecil yaitu 1.2% diberikan oleh alpha 0.5 yang diukur menggunakan metode Mean Absolute Percentage Error (MAPE). Adapun tingkat akurasi peramalan yang didapatkan jumlah kesalahan tiap alpha sebesar 95.394%.
Performa Klasifikasi K-NN dan Cross Validation pada Data Pasien Pengidap Penyakit Jantung Huzain Azis; Purnawansyah Purnawansyah; Farniwati Fattah; Inggrianti Pratiwi Putri
ILKOM Jurnal Ilmiah Vol 12, No 2 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i2.507.81-86

Abstract

Globally, the number one cause of death each year is cardiovascular disease. Cardiovascular disease is a disease caused by impaired function of the heart and blood vessels, such as coronary heart disease, heart failure or heart failure, hypertension and stroke. The purpose of this study was to measure the performance of accuracy, precision, recall and f-measure of the K-NN and Crossvalidation methods on a dataset of cardiovascular patients. The dataset used was 1000 records consisting of 11 attributes (age, gender, height, etc.) cardiovascular and non cardiovascular patient data, the dataset was obtained from the UCI Machine Learning Repository managed by the Hungarian Institute of Cardiology Budapest: Andras Janosi, MD, University Hospital, Zurich, Switzerland. The steps taken are: dividing the simulation ratio of the dataset to 20:80, 50:50 and 80:20, applying crossvalidation (k-fold = 10) and classification using the K-NN method (k = 2 to K = 900). The research results from the simulation of the dataset ratio 50:50 obtained an accuracy value of 82%, 82% precision, 82% recall and 80% f-measure at a value of K = 13, then the research results from the simulation of the dataset ratio 20:80 obtained an accuracy value of 87%, 87% precision, 97% recall and 92% f-measure at the value of K = 3, and the results of research from the simulation of the dataset ratio 80:20 obtained an accuracy value of 91%, 92% precision, 60% recall and 72% f-measure at the value K = 5.
Sistem Informasi Program Kreativitas Mahasiswa berbasis Web Service dan Microservice Poetri Lestari Lokapitasari Belluano; Purnawansyah Purnawansyah; Benny Leonard Enrico Panggabean; Herman Herman
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i1.492.8-16

Abstract

The information system is faced with a significant development, it needs to have not only the policy changes but also the features as an effort update, according to necessity both internal and external business rule systems. This research aims to form a microservice infrastructure for updating changes in flow of business process to the development of information systems. This Research methods come under both field studies and literature to the subject matter related with the development of Information Systems in managing data of program kreativitas mahasiswa (PKM), Web services and Microservice Architecture. The design is using Prototype model to represent graphically the workflow of the system Model which is using the Unified Modeling Language (UML) tool, Managing the Data Base Management System (DBMS) application using GORM, Go Validator as a data validation tool, and Gorilla Mux as the REST rooter. The application runs by utilizing the Advanced Message Queuing protocol. In conclusion, the implementation of webservice-based university internal information system development with microservice architecture for PKM is reporting activities in where the relationship between units in data transactions (publish, send automatically) is carried out with a duration of time 0,00 / sec.
Cluster Computing Analysis Based on Beowulf Architecture Purnawansyah Purnawansyah; Ramdan Sastra
International Journal of Computing and Informatics (IJCANDI) Vol 1, No 1 (2016): February 2016
Publisher : International Journal of Computing and Informatics (IJCANDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1340.013 KB) | DOI: 10.19732/10.19732/vol1122016

Abstract

The need for computing speed in data processing is in high demandindicated by the increasing data processing in many companies.Aviation companies, for instance, show the growing number ofpassengers daily. The data processing for a big number of customersrequires supercomputer technology at the cost of exponential fund.Therefore, the technology able to process big data with low cost isnecessary. This research has improved a cluster computer which canprocess data with a big capacity processing that is generally cannotbe processed using one computer. Cluster computer is built usingBeowulf cluster architecture using Linux Debian operating systemand SSH, NFS, MPI library and GANGLIA services. The result ofthis research is a cluster computer prototype which is able to process38.000x38.000 matrix calculation data. In the first testing, thecomputer was able to work for a maximum of 30.000x30.000 matrixcalculation whereas cluster computer can process up to38.000x38.000 matrix size. This result indicates that the designedcluster computer is successful to calculate big data with a lowcomputer specification. The further improvement can be applied in amore complicated computer calculation process and bigger data.
Backpropagation and Genetic Algorithm in Network Traffic Activities Forecasting Purnawansyah Purnawansyah
International Journal of Computing and Informatics (IJCANDI) Vol 1, No 1 (2017): February 2017
Publisher : International Journal of Computing and Informatics (IJCANDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19732/10.19732/vol1122016

Abstract

This paper presents techniques based on the development of backpropagation (BP) and genetic algorithm models for calculating and analyzing the daily network traffic activities at Universitas Mulawarman, East Kalimantan, Indonesia. The experiment results indicate that a strong agreement between model predictions and observed values, since MAPE is below 5%. Thus, the use of network traffic is becoming a more effective, efficient and optimal. Model optimization is one of future works.
ANALISIS SISTEM DALAM KEGIATAN BONGKAR MUAT PADA TERMINAL PETI KEMAS MENGGUNAKAN PENDEKATAN PIECES Arvina Yudithia Sompie; Purnawansyah Purnawansyah; Sugiarti Sugiarti
Buletin Sistem Informasi dan Teknologi Islam (BUSITI) Vol 3, No 4 (2022)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/busiti.v3i4.1456

Abstract

Mengingat fungsi terminal peti kemas sangatlah penting, maka pelayanan kegiatan bongkar muat di lapangan penumpukan harus memperbaiki dan meningkatkan pelayanan dalam menangani pergerakan peti kemas baik ke dalam maupun keluar lapangan penumpukan. Penelitian ini bertujuan untuk mengevaluasi apakah sistem berjalan telah sesuai dengan kebutuhan user serta dapat memberikan kemudahan kepada user dalam kegiatan sistem bongkar muat pada terminal peti kemas PT Pelindo Terminal Petikemas Makassar New Port. Penelitian ini menggunakan metode PIECES dengan menggunakan 6 variabel yaitu Performance, Information, Economics, Control and security, efficiency, dan Service. Berdasarkan hasil penelitian diperoleh nilai rata-rata responden menjawab pada seluruh pertanyaan sebesar 3,8 dari nilai maksimal 5 yang artinya menurut responden sistem yang berjalan sudah baik. Variabel yang memiliki tingkat persentasi kepuasan yang paling rendah yaitu pada variabel Economic dengan nilai standar deviasi mencapai 1,452, variabel Service dengan nilai standar deviasi 1,141, variabel Efficiency dengan nilai standar deviasi 1,091, variabel Performance dengan standar deviasi 1,083, variabel Information dengan nilai standar deviasi 1,053 dan variabel Control dengan nilai standar deviasi mencapai 0,923. Dari 6 variabel maka yang memiliki tingkat persentasi kepuasan paling rendah yaitu variabel economics Setelah mengetahui variabel yang memiliki permasalahan pada user maka dapat dilakukan untuk perbaikan sistem dan mempertahankan pada variabel-variabel lain yang dianggap oleh responden sudah memiliki tingkat layanan yang baik.
The development of Web-based information system using quick UDP internet connection Poetri Lestari Lokapitasari Belluano; Benny Leonard Enrico Panggabean; Purnawansyah Purnawansyah; Kasmira Kasmira
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1134.314-322

Abstract

The Academic Information System (xSIA) is built to its users to manage Study Program modules, including student academic grades. xSIA applying the Moodle Learning Management System (LMS) was developed by implementing Quick UDP Internet Connection (QUIC) technology with the HTTP/3 protocol which can demonstrate protocol transaction speed performance. The design of information systems and databases employs the Convention Over Configuration paradigm. The Prototyping Model is used to graphically represent the workflow of the system with an experimental research design. System modeling utilizes Unified Modeling Language (UML) tools, Data Base Management System (DBMS) using PostgreSQL, and UDP ports as a means of data communication. The implementation of Quick UDP Internet Connection (QUIC) on the xSIA moodle LMS is effective for real-time communications that do not require conditions to open, maintain, or terminate connections as in streaming video conference. It is also optimal because the UDP data is transferred individually and checked for its integrity upon arrival. When a video streaming transaction last 02:36 seconds with a file size of 4.1mb, there is a significant difference of 100.98ms in the waiting time to first byte (ttfb).
Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Kementerian Agama Kabupaten Pinrang Menggunakan Metode AHP Zahif Safyin Saleh; Purnawansyah Purnawansyah; Sugiarti Sugiarti
Buletin Sistem Informasi dan Teknologi Islam (BUSITI) Vol 1, No 4 (2020)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/busiti.v1i4.647

Abstract

Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Kementerian Agama Kabupaten Pinrang merupakan sistem berbasis web dengan metode Analytical Hierarchy Process (AHP) yang dapat membantu Decision Maker di lingkup kantor Kementerian Agama Kabupaten Pinrang dalam menilai kinerja pegawainya. Penelitian ini dilatarbelakangi karena di lingkup kantor kementerian agama Kabupaten Pinrang dalam melakukan penilaian kinerja pegawai masih menggunakan cara manual dengan Microsoft Excel.Tujuan dari penelitian ini adalah untuk merancang dan membuat Sistem Pendukung Keputusan berbasis web yang dapat menilai kinerja pegawai Kementerian Agama Kabupaten Pinrang, serta untuk mengimplementasikan metode AHP dalam Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Kementerian Agama Kabupaten Pinrang. Hasil dari penelitian ini berupa sebuah sistem pendukung keputusan berbasis web yang dapat membantu pimpinan dalam menilai kinerja pegawai Kementerian Agama Kabupaten Pinrang.
Co-Authors - Nurhikma A. Nurjulianty Abd. Rasyid Syamsuri Achmad Fanany Onnilita Gaffar Achmad Fanany Onnilita Gaffar Adela Regita Azzahra Adnan, Adam Agung R Aji P. Wibawa Aji Prasetya Wibawa Alfitriana Riska Alfiyyah, Nurul Alisma, Alisma Andi Muhammad Adnan Rusdy Anggreani, Desi Anisatul Humairah Anugrah, Rezky Arman, Eka Arrosied, Harun Arvina Yudithia Sompie Astuti, Wistiani Atussaliha, Nur Almar' Awang Harsa Kridalaksana Awangga, Narendra Backar, Sunarti Passura Basri, Haerunnisa Benny Leonard Enrico P Benny Leonard Enrico Panggabean Benny Leonard Enrico Panggabean Bustam, Faida Daeng Cholisah Erman Hasihi Darwis, Herdianti Desi Anggreani Dewi Widyawati Dian Dolly Indra Fahmi Fahmi Faradibah, Amaliah Farniwati Fattah Fatimah Syarifuddin Fattah, Farniwati Felix Andika Dwiyanto Fery Setyo Aji Fitriyani Umar Harlinda L Harlinda Lahuddin Hasnidar S. Haviluddin Haviluddin Herdianti Darwis Herman Herman Huzain Azis Ifan Wahyudi Inggrianti Pratiwi Putri Irawati Irawati Irawati Irawati Iriani Indah Saputri Jumrayanti Arfah Kasmira Kasmira La Saiman Lilis Hayati lilis nurhayati Listyan Nur Saida Lokapitasari Belluano, Poetri Lestari Lukman Syafie M. Imam Maulana M. Takdir Mahfuddin Mukmin Malani, Rheo Manga, Abdul Rachman Mansyur, St. Hajrah Mardiyyah Hasnawi Ming Foey Teng Muh Alim Abdi Muhammad Arfah Asis Muhammad Hardiansyah Hairi Muhammad Ikhsan Supriyadi Muhammad Yushar Mattola Munaf, Adryan Dwiprawira Munawir Nasir Hamzah Nafalski, Andrew Nia Kurniati Nirmala Nirmala, Nirmala Nirwana Nirwana Nugroho, Basuki Rahmat Nur Afra Dimitri Pratiwi Nur Almar' Atussaliha Nur Rahmah NURZAENAB NURZAENAB Nurzaenab Nurzaenab Panggabean, Benny Leonard Enrico Purba, Muren Fiatra Denata Putri Regina Prayoga Putri, Inggrianti Pratiwi Rahmadani Rahmadani Raja, Roesman Ridwan Ramdan Sastra Ramdan Sastra Ramdaniah, Ramdaniah Rayner Alfred Rayner Alfred Resky Anugrah Rezky Anugrah Salim, Yulita Saly, Intan Novita Setyadi, Hario Jati St. Hajrah Mansyur Sugiarti, Sugiarti Sulfikar Sulfikar Sunarti Passura Backar Syafie, Lukman Syamsiar, Syamsiar Tasrif Hasanuddin Triyanna Widiyaningtyas Triyanna Widyaningtyas Triyanna Widyaningtyas, Triyanna Umar, Fitriyani Wahyuni Wahyuni Wd. Shaqina Rafa Naura Wistiani Astuti Wistiani Astuti Wong, Kelvin Yudha Islami Sulistya Yulita Salim Yusrandi Yusrandi Zahif Safyin Saleh Zahirah, Dinna Zulkarnain, Nur Ainun