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All Journal Jurnal Ilmiah Informatika Komputer Ekonomi Bisnis Jurnal Psikologi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Simantec Journal of Auditing, Finance, and Forensic Accounting REKAYASA Jurnal Ilmiah KOMPUTASI JURNAL PERTANIAN PRESISI (JOURNAL OF PRECISION AGRICULTURE) Angkasa: Jurnal Ilmiah Bidang Teknologi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JTP - Jurnal Teknologi Pendidikan JURNAL METEOROLOGI DAN GEOFISIKA Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Mediakom : Jurnal Ilmu Komunikasi Journal of Intelligent Decision Support System (IDSS) Action Research Literate (ARL) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Communication Studies and Society Jurnal Meteorologi dan Geofisika
Musa, Purnawarman
Gunadarma University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences

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Analisa sistem komunikasi data berbasis Internet of Things (IoT) menggunakan metode PIECES pada Sistem Pengamatan Cuaca Otomatis di Badan Meteorologi Klimatologi dan Geofisika (BMKG) Ariffudin Ariffudin; Purnawarman Musa
Jurnal Meteorologi dan Geofisika Vol 23, No 2 (2022)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i2.831

Abstract

Stasiun Pengamatan Cuaca pada Badan Meteorologi Klimatologi dan Geofisika (BMKG) telah merapatkan jaringan stasiun pengamatan cuaca guna menghasilkan akurasi data yang lebih baik. BMKG memiliki kurang lebih 1000 dan jumlah ini masih jauh dari ideal untuk kerapatan jaringan pengamatan cuaca se-Indonesia. Stasiun pengamatan cuaca yang terbagi dalam 3 (tiga) type yaitu Automatic Rain Gauge (ARG), Automatic Weather Station (AWS) dan Agroclimate Automatic Weather Station (AAWS). Pemuktahiran sistem pengiriman data dari stasiun pengamat cuaca terhadap protokol pengiriman File Transfer Protocol (FTP) melalui modem General Packet Radio Service (GPRS) setiap 10 menit, dengan upgrade teknologi Internet of Things (IoT) perlu peninjauan terhadap kinerja operasional sistem komunikasi data. Karakteristik data yang kecil sangat cocok pada teknologi Internet of Things dengan menggunakan protokol Message Queuing Telemetry  Transport (MQTT) guna monitoring data-data cuaca secara real-time. Berdasarkan hasil kajian dan penelitian dengan pengujian yang dilakukan terhadap metode komunikasi protokol FTP dengan protokol IoT MQTT pada stasiun AWS menggunakan analisa dengan metode PIECES (Performance, Information, Economic, Control, Efisiency dan Service) menunjukkan protokol MQTT yang berbasis IoT sebagai konsep komunikasi data yang tepat dimasa depan mengantikan protokol FTP. 
Analysis of Financial Annual Reports for Bankruptcy Predictions Using Altman Z-Score Method Kasman Wicaksono; Purnawarman Musa; Apriana Anggraeini Bangun; Octarina Budi Lestari; Witari Aryunani; Sigit Sukmono
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 2 (2022): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v5i2.79

Abstract

The study focused on comparisons to investigate a company's financial health situation in diagnosing early bankruptcy of tobacco-producing companies using the Altman Z-Score formula. The bankruptcy risk predictions were analyzed from 2013 to 2018 on the Indonesia Stock Exchange website. The investigative data obtained at the www.idx.co.id website address used annual financial statement data from three tobacco companies in Indonesia for six consecutive years. Research illustrates that from 2013 to 2018, tobacco-producing companies are in the healthy and low-risk category. The total variable is the key to changing its health condition if it changes its value. Therefore, the results of this study can analyze the company, especially financial statements, for information on fulfilling its obligations to investors and creditors and managing assets to increase sales in generate profits.
KOMUNIKASI KRISIS DAN WARNING MODEL UNTUK DETEKSI PELANGGARAN PROTOKOL KESEHATAN COVID-19 DENGAN PEMBUKTIAN TERAPAN TEKNOLOGI KOMPUTER VISI Purnawarman Musa; Amri Dunan
Mediakom : Jurnal Ilmu Komunikasi Vol 4, No 2 (2020)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/mkm.2020.v4i2.3538

Abstract

Sejak pandemi COVID-19 pertama kali terdeteksi pada Maret 2020 di Indonesia, masalah utama dari virus korona adalah setiap hari orang Indonesia menjadi korban yang terkonfirmasi positif. Beberapa hari, pemerintah Indonesia mengambil langkah strategis dan penanganan krisis dengan membuat regulasi dan kebijakan publik untuk mencegah penyebaran dan penularan virus korona. World Health Organization (WHO) mengusulkan masker dan social distancing sebagai langkah protokol kesehatan yang sesuai dengan perilaku disiplin 3M dan gerakan 5M untuk mencegah penyebaran dan penularan virus korona. Upaya pemerintah dan tim satuan tugas COVID-19 mengendalikan penyebaran virus korona mengalami kendala dan beragam opini publik, seperti infodemik terkait virus korona dan pandemi COVID-19, serta tingkat pemahaman kesadaran masyarakat terhadap bahaya virus korona. Bahkan pemerintah mengalami benturan dengan masyarakat yang tidak mematuhi aturan tersebut, sehingga menimbulkan ketidakpercayaan pada legitimasi pemerintah dalam penanganan virus korona. Penulis mengusulkan sistem deteksi masker dan social distancing dengan metode Kkmputer Visi berbasis Artificial Intelligence (AI). Selain mendapatkan informasi tentang pelanggaran protokol kesehatan dengan menggunakan Teknologi Informasi, tujuan utama penelitian ini adalah untuk mengukur model komunikasi yang diinformasikan dalam pemahaman masyarakat dan kepatuhan terhadap penerapan protokol kesehatan. Hasil studi tersebut menyimpulkan bahwa sebagian besar masyarakat, tokoh, pemangku kepentingan, pelaku usaha telah menerapkan kebijakan pemerintah melaksanakan protokol kesehatan sebagai langkah tepat untuk mengurangi atau memutus rantai penyebaran COVID-19.
Implementation of Network Automation using Ansible to Configure Routing Protocol in Cisco and Mikrotik Router with Raspberry PI: Array Muhammad Fauzi Islami; Purnawarman Musa; Missa Lamsani
Jurnal Ilmiah Komputasi Vol. 19 No. 2 (2020): Jurnal Ilmiah Komputasi Volume: 19 No. 2, Juni 2020
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.19.2.80

Abstract

Network Engineering is never separated with configuration which is the main task must be committed in the purpose to put it into function. As we know, to configure some devices either server, switch, or router have some methods if we ob-serve by how we communicate to the system themselves. We can use the console port to communicate with, using telnet to communicate remotely, or even using SSH if we want to communicate remotely and also securely with all of the in-formation is encrypted. Generally, the conventional method such as the methods has just explained before is always be used. The problem has not come yet since there are just 1 until 5 devices, but how about 100 devices ? We have to log in to the network devices one by one. It is exhausting and very inefficient in time. This paper is illustrating a new methods in configuring network devices by using automation, reducing time for equipment configuration and easier to maintenance. It reduces human error in configuration syntaxes and how the way the device is configured. The innovation is going to make it happen. There are tools to do this tasks such as, Ansible and Terraform. In this paper, Ansible is chosen because of its simplicity.
Pembelajaran Mendalam Pengklasifikasi Ekspresi Wajah Manusia dengan Model Arsitektur Xception pada Metode Convolutional Neural Network Purnawarman Musa; Wahid Khairul Anam; Saiful Bahri Musa; Witari Aryunani; Remi Senjaya; Puji Sularsih
Rekayasa Vol 16, No 1: April 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v16i1.16974

Abstract

Deep learning is a neural network that creates innovations that give computer-implanted problem-solving expertise. One of the principles of computer vision is a detection system with a vision framework that can identify things encountered in the same manner as a human vision system. Using an artificial intelligence-based Convolutional Neural Network (CNN) model with deep learning techniques, we present a face emotion identification system. The categorization of facial expressions will be utilized as the basis for a face recognition system trained using CNN. The applications are intended to use the OpenCV, Keras, and TensorFlow libraries as the backend. We were discussing the study on the best use of xception architectural models in facial expression recognition systems. Based on the results of these tests, the study obtained an increased accuracy value in training and data testing on an xception architecture model trained for facial expressions using the FER-2013 dataset, resulting in an accuracy value of 66% as well as the value of each average for precision (76%), recall (65%), and F1 score (63%).
DIGITAL MARKETING COMMUNICATION: A CASE STUDY OF COVID-19 PURCHASING DECISION RELATED TO SOCIAL MEDIA AND E-WOM Sri Murtiasih; Erny Pratiwi; Masodah Masodah; Purnawarman Musa
Jurnal Ilmiah Ekonomi Bisnis Vol 28, No 2 (2023)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/eb.2023.v28i2.7931

Abstract

The COVID-19 pandemic that occurred all across the globe affected the economy. The firm is responsible for promotions, and clients use different types of technology to make purchases. Digital marketing employs social media to promote a product using electronic communication tools, which assist customers in making better-educated buying choices and persuade them to purchase a product or service. This study used purposeful sampling to acquire data, and the sample size was computed using answers from 441 participants who completed online surveys. Participants must be at least 20 years old and active purchasers in the retail internet industry. The suggestion indicates that customers may obtain a product or service via social media or e-WOM. Our SEM-based analysis revealed conformity with the value CFI is 0.954, the value RFI is 0.918, the value NFI is 0.931, and the value RMSEA is 0.066.  Consequently, advertising using digital marketing on social media during the COVID-19 epidemic has substantially influenced consumers' purchasing decisions.
Analisa sistem komunikasi data berbasis Internet of Things (IoT) menggunakan metode PIECES pada Sistem Pengamatan Cuaca Otomatis di Badan Meteorologi Klimatologi dan Geofisika (BMKG) Ariffudin Ariffudin; Purnawarman Musa
Jurnal Meteorologi dan Geofisika Vol. 23 No. 2 (2022)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i2.831

Abstract

Stasiun Pengamatan Cuaca pada Badan Meteorologi Klimatologi dan Geofisika (BMKG) telah merapatkan jaringan stasiun pengamatan cuaca guna menghasilkan akurasi data yang lebih baik. BMKG memiliki kurang lebih 1000 dan jumlah ini masih jauh dari ideal untuk kerapatan jaringan pengamatan cuaca se-Indonesia. Stasiun pengamatan cuaca yang terbagi dalam 3 (tiga) type yaitu Automatic Rain Gauge (ARG), Automatic Weather Station (AWS) dan Agroclimate Automatic Weather Station (AAWS). Pemuktahiran sistem pengiriman data dari stasiun pengamat cuaca terhadap protokol pengiriman File Transfer Protocol (FTP) melalui modem General Packet Radio Service (GPRS) setiap 10 menit, dengan upgrade teknologi Internet of Things (IoT) perlu peninjauan terhadap kinerja operasional sistem komunikasi data. Karakteristik data yang kecil sangat cocok pada teknologi Internet of Things dengan menggunakan protokol Message Queuing Telemetry  Transport (MQTT) guna monitoring data-data cuaca secara real-time. Berdasarkan hasil kajian dan penelitian dengan pengujian yang dilakukan terhadap metode komunikasi protokol FTP dengan protokol IoT MQTT pada stasiun AWS menggunakan analisa dengan metode PIECES (Performance, Information, Economic, Control, Efisiency dan Service) menunjukkan protokol MQTT yang berbasis IoT sebagai konsep komunikasi data yang tepat dimasa depan mengantikan protokol FTP. 
Pengalaman Pengguna Aplikasi Konferensi Video Google Meet Selama Pandemi Covid-19: Analisis UEQ Garin Caesar Syanugiri; Purnawarman Musa; Witari Aryunani
Prosiding SISFOTEK Vol 7 No 1 (2023): SISFOTEK VII 2023
Publisher : Ikatan Ahli Informatika Indonesia

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

Abstract

The Covid-19 pandemic has changed how we work, learn, and communicate. One of the key tools in responding to these challenges is video conferencing applications, such as Google Meet. This article explores user experiences with Google Meet during the Covid-19 pandemic using the User Experience Questionnaire (UEQ) method to analyze various aspects of user experience. The research steps in applying the UEQ data analysis method encompass data collection (scores) through the UEQ questionnaire, conducting descriptive analysis to identify trends and patterns in user experiences, and interpreting the results to comprehend their implications. The analysis outcomes aid researchers in summarizing user experiences, pinpointing areas for improvement, and offering pertinent recommendations. The Attractiveness variable receives a high score, reflecting a user-friendly and efficient interface. Perspicuity also obtains positive scores, indicating the ease of using the application. Efficiency and Dependability likewise achieve high scores, signifying that users perceive the application as reliable for important meetings. Stimulation and Novelty show a substantial improvement, indicating that users feel engaged and interested while using Google Meet. The UEQ analysis results provide valuable insights into how Google Meet has become an effective and satisfying solution to address the challenges individuals and organizations face during the Covid-19 pandemic. This article also discusses the implications of these findings in the context of education, work, and remote communication.
NETWORK OF AFFECTION: EKSPLORASI INTERPERSONAL TRUST, PERCEIVED INTERPERSONAL CLOSENESS, DAN KEPUASAN HUBUNGAN ROMANTIS PADA ONLINE DATERS Hapsari, Indria; Cahyanti, Indah; Gunawan, Dyah Ayu Kusumawardani; Fachrial, Lia Aulia; Musa, Purnawarman
Jurnal Psikologi Vol 17, No 1 (2024)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/psi.2024.v17i1.10863

Abstract

The aim of this research is to examine the influence of interpersonal trust and perceived interpersonal closeness on romantic relationship satisfaction in individuals undergoing online dating through one or more applications such as Tinder, Coffee Meets Bagel, as well as social networking applications like Facebook. The sampling technique used is the snowball sampling method with a sample size of 50 adult individuals above 18 years old, consisting of 38 women and 12 men, who had been in an online romantic relationship for at least 1 month. Data analysis uses multiple regression techniques. The research results show that there is an influence of interpersonal trust and perceived interpersonal closeness separately and together on romantic relationship satisfaction in individuals who experience online dating. Analysis of the data together shows an F value coefficient of 26.386 with a significance of 0.001 (ρ ≤ 0.05) and an R square of 0.658. This means that there is a very significant influence between interpersonal trust and perceived interpersonal closeness together on romantic relationship satisfaction in individuals undergoing online dating with a relative contribution of 65.8% while the remaining 34.2% is influenced by other factors not included in this research. The considerable contribution of interpersonal trust and perceived interpersonal closeness occurs because they collectively form the basis of intimacy and effective communication, as well as increasing feelings of emotional connection in the digital realm, thus increasing satisfaction in online dating.
ANALISA WEBSITE MENGGUNAKAN LOAD TESTING PADA SISTEM INFORMASI FILM DENGAN GTMETRIX Varrel, Shafwan Almer; Musa, Purnawarman; Rachmi, Namira; Fahrurozy, Akbar Rizky; Nugraha, Satria; Sulistiyo, Mukhlisin
Jurnal Simantec Vol 13, No 1 (2024): Jurnal Simantec Desember 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i1.24467

Abstract

Movieku is a free movie download and streaming service that has become a popular choice for users in Indonesia. A smooth user experience requires careful performance testing of the website. This study aims to assess whether the website operates smoothly and provides the best experience for users. Testing was conducted using two techniques: accessing the website with two different devices (a laptop and a mobile device) and comparing performance across various browser applications. The scope of testing includes evaluating website access speed using the GTMetrix tool. The performance test yielded satisfactory response times; however, some aspects of the Movieku website's performance were below average, such as the first contentful paint, which took 1.4 seconds compared to the recommended 0.9 seconds, and the largest contentful paint, which took 2.2 seconds compared to the recommended 1.2 seconds. The study results provide accurate insights into the Movieku website specifically and contribute to optimizing other websites for a smoother and more optimal user experience. Keywords: GTMetrix, Load Testing, Performance Testing, MovieKu Website
Co-Authors Aldy Mohamad Amri Dunan Anggara, Risan Putra Anggraeini, Apriana Apriana Anggraeini Bangun Ariffudin Ariffudin Busono Soerowirdjo Cahyanti, Indah Donggala Putra Thalib, Muhammad Juergen Emy Haryatmi Eri Prasetyo Wibowo, Eri Prasetyo Erny Pratiwi Fachrial, Lia Aulia Fahrurozy, Akbar Rizky Farid Thalib Garin Caesar Syanugiri Gunawan, Dyah Ayu Kusumawardani Hambali Hambali Hambali Hambali Indria Hapsari, Indria Iqbal Baihaqi Kasman Wicaksono Manurung, Adinda Nurul Huda Masodah Masodah Missa Lamsani Muhamad Rian Santoso Muhammad Fauzi Islami Muhammad Fauzi Islami Nugraha, Satria Nur Yuliani Octarina Budi Lestari Pertiwi, Cholidah Astri Puji Sularsih Rachmi, Namira Ramadhani, Zahra Shafa Remi Senjaya Saiful Bahri Musa Saiful Bahri Musa Sigit Sukmono SRI LESTARI Sri Murtiasih Sulistiyo, Mukhlisin Suryarini Widodo Tubagus Maulana Kusuma Varrel, Shafwan Almer Wahid Khairul Anam Wicaksono, Kasman Witari Aryunani Witari Aryunani