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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 Linier: Literatur Informatika dan Komputer
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

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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%.
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.
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.
Pengembangan Peningkatan Produktivitas dan Pemasaran UKM Abon Telur sebagai Oleh-Oleh Khas Malino di Desa Lonjoboko Kecamatan Parangloe Kabupaten Gowa Purnawansyah Purnawansyah; Dolly Indra; Lilis Nur Hayati; Fery Setyo Aji; Rezky Anugrah
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 14, No 1 (2023): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v14i1.5973

Abstract

Tujuan program pengabdian yang kami lakukan yaitu memberikan penyuluhan, dan simulasi tentang pemasaran produk, memberikan pelatihan bagi mitra desa Lonjoboko tentang kewirausahaan dalam memasarkan produk berbasis online dan mendesain kemasan yang menarik dan praktis. Metode dalam pelaksanaaan kegiatan ini adalah memfasilitasi dengan penyuluhan, simulasi dan pelatihan bagi para UKM dengan mewujudkan masyarakat sejahtera dan pandai dalam memasarkan produk dengan layanan sistem informasi berbasis online di desa Lonjoboko Kabupaten Gowa dalam bentuk pelatihan. Luarannya Mitra mendapatkan modul pelatihan manajemen kewirausahaan berbasis online untuk memasarkan produknya, mitra mampu mandiri dalam mengimplementasikan dan terampil dalam pemasaran produk, Software Aplikasi Web Sistem Informasi pemasaran produk.
Asking a Chatbot for COVID-19 Food and Nutrition Fahmi Fahmi; Yusrandi Yusrandi; Aji P. Wibawa; Ming Foey Teng; Purnawansyah Purnawansyah
Bulletin of Culinary Art and Hospitality Vol. 1 No. 2 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.425 KB) | DOI: 10.17977/um069v1i22021p63-69

Abstract

Coronavirus 19 (COVID-19) is a disease caused by a new coronavirus called severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2; previously known as 2019-nCoV). On March 11, 2020, WHO declared COVID-19 a global pandemic, the first pandemic since H1N1 influenza was declared a pandemic in 2009. The disease has hit almost every country in the world and so far, no medicine nor antiviral was found. In some countries where the death rate is high, the number of patients continues to increase. On May 20, 2020, the number of patients exceeded 4.8 million and the toll is 318,000 (6.6 percent). Although the number of new patients in many countries declined after the access rights lockdown (lockdown), the second attack returned to the area where the first attack occurred. The COVID-19 case in Indonesia still shows an increasing trend even though various efforts have been made by the state and society. This research is intended to discuss us regarding the use of chatbots to provide guidance on food and nutrition during the COVID-19 pandemic. The results showed that a review of maintaining a healthy lifestyle by adhering to health protocol during the pandemic of COVID-19, shows that the higher the rating, the more effective it is to reduce the transmission of the corona virus in the future.
Sistem Pendukung Keputusan Menentukan Beras Unggulan pada Kabupaten Sidrap Menggunakan Metode Analytical Hierarchy Process Lilis Hayati; Purnawansyah Purnawansyah; Anisatul Humairah
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 1 No. 9 (2021)
Publisher : Universitas Ngeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (538.099 KB)

Abstract

Application of a Decision Support System for Determining Superior Rice in Sidrap Regency Using a web-based Analytical Hierarchy Process (AHP) method can provide accurate, fast, easy, and precise ranking results for the Office of Agriculture in Sidrap Regency. From the calculation results obtained the application with the highest value is Super Slyp Rice with a value of 0.58. From the results of tests that have been carried out using the black box technique in beta testing, the highest percentage of questionnaires is 85 percent saying they agree that the application of the Decision Support System for Determining Superior Rice in Sidrap Regency Using the Analytical Hierarchy Process (AHP) method can be used and facilitates the determination of superior rice. at the Agriculture Service of Sidenreng Rappang Regency. Aplikasi Sistem Pendukung Keputusan Menentukan Beras Unggulan di Kabupaten Sidrap Menggunakan Metode Analytical Hierarchy Process (AHP) berbasis web dapat memberikan hasil perangkingan akurat, cepat, mudah dan tepat bagi Kantor Dinas Pertanian pada Kabupaten Sidrap. Dari hasil perhitungan aplikasi yang didapatkan dengan nilai tertinggi yaitu Beras Slyp Super dengan nilai 0.58. Dari hasil pengujian yang telah dilakukan dengan menggunakan teknik black box pada pengujian beta menghasilkan persentase tertinggi kuesioner yaitu sebanyak 85% mengatakan setuju bahwa aplikasi Sistem Pendukung Keputusan Menentukan Beras Unggulan di Kabupaten Sidrap Menggunakan Metode Analytical Hierarchy Process (AHP) dapat digunakan dan mempermudah penentuan beras unggulan di Dinas pertanian Kabupaten Sidenreng Rappang.
Klasifikasi Daun Herbal Menggunakan K-Nearest Neighbor dan Support Vector Machine dengan Fitur Fourier Descriptor Putri Regina Prayoga; Purnawansyah Purnawansyah; Tasrif Hasanuddin; Herdianti Darwis
Jurnal Pendidikan Informatika (EDUMATIC) Vol 7 No 1 (2023): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v7i1.17521

Abstract

Indonesia is a rich country in herbal plants that can be used as traditional medicine. Leaves are one of the main components of herbal plants that are difficult to distinguish in texture and shape. This study aims to classify two types of herbal leaves, namely Sauropus androgynus and Moringa leaves using the K-nearest neighbor (KNN) and Support vector machine (SVM) with fourier descriptor (FD) feature extraction on texture and shape features. The research uses primary data collected through a smartphone camera as much as 480 image data with light and dark scenarios which are then divided into 80:20 training and testing data. Based on the research that has been done, it is found that the KNN for light scenario data and dark scenarios get 92% and 94% accuracy respectively. The test results using SVM with FD feature extraction obtain an accuracy of 96% for light and dark scenarios. Thus, SVM is more recommended in the classification of herbal leaf images.
Co-Authors - Nurhikma A. Nurjulianty Abd. Rasyid Syamsuri Abdul Rachman Manga’ 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 Andri Rajsya 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 Bustam, Faida Daeng Darwis, Herdianti Desi Anggreani Dewi Widyawati Dian Dolly Indra Dwiyanto, Felix Andika Enrico Panggabean, Benny Leonard Fahmi Fahmi Fajar AR, Muh. Aqil Faradibah, Amaliah Farniwati Fattah Fatimah Syarifuddin Fattah, Farniwati Fery Setyo Aji Firdaus, Muhammad Nur Firman Akbar Fitriyani Umar Harlinda L Harlinda Lahuddin Hartanto, Kotot Tri Hasihi, Cholisah Erman Hasnidar S. Hasrah Wahyuni Haviluddin Haviluddin Herawati Herawati Herdianti Darwis Herman Herman Huzain Azis Ifan Wahyudi Irawati Irawati Irawati Irawati Iriani Indah Saputri jabir, sitti rahmah Jumrayanti Arfah Kasmira Kasmira Kasmira, Kasmira La Saiman Lilis Hayati lilis nurhayati Listyan Nur Saida Lokapitasari Belluano, Poetri Lestari Lukman Syafie Lutfi Budiman Ilmuwan M. Imam Maulana M. Takdir Mahfuddin Mukmin Malani, Rheo Manga', Abdul Rachman Manga, Abdul Rachman Mansyur, St. Hajrah Mardiyyah Hasnawi Ming Foey Teng Ming Foey Teng, Ming Foey Muh Alim Abdi Muh. Fadhil Attariq Hasril Muh. Rifqi Zulkifli Muhammad Arfah Asis Muhammad Arfah Iswaniah 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 Rahma Puspitasari Rahmadani Rahmadani Raja, Roesman Ridwan Ramdan Sastra Ramdan Sastra Ramdaniah, Ramdaniah Rayner Alfred Rayner Alfred Resky Anugrah Rezky Anugrah Saiman, La Salim, Yulita Saly, Intan Novita Setyadi, Hario Jati Siti Rahmi Kelilauw St. Hajrah Mansyur Sugiarti, Sugiarti Sulfikar Sulfikar Sunarti Passura Backar Syafie, Lukman Syamsiar, Syamsiar Tasrif Hasanuddin Triyanna Widiyaningtyas Triyanna Widyaningtyas, Triyanna Umalekhoa, Alfi Syahrin Umar, Fitriyani Wahyuni Wahyuni Wd. Shaqina Rafa Naura Wistiani Astuti Wistiani Astuti Wong, Kelvin Wulan Purnama Sari Yudha Islami Sulistya Yulita Salim Yusrandi Yusrandi Zahif Safyin Saleh Zahirah, Dinna Zulkarnain, Nur Ainun