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All Journal TEKNIK INFORMATIKA Sainteks Jurnal Pseudocode SMATIKA Jurnal Ilmiah KOMPUTASI Jurnal Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA InComTech: Jurnal Telekomunikasi dan Komputer Jurnal SOLMA Prosiding Seminar Nasional Teknoka Dinamisia: Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Sisfokom (Sistem Informasi dan Komputer) IJID (International Journal on Informatics for Development) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Linguistik Komputasional Jurnal ICT : Information Communication & Technology Building of Informatics, Technology and Science FIKROH: JURNAL PEMIKIRAN DAN PENDIDIKAN ISLAM Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Teknosains : Jurnal Sains,Teknologi dan Informatika Infotech: Journal of Technology Information Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) KLIK: Kajian Ilmiah Informatika dan Komputer Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Jurnal Penyuuhan dan Pemberdayaan Masyarakat (JPPM) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer SmartComp Fikroh: Jurnal Pemikiran dan Pendidikan Islam JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Cosmic Jurnal Teknik BHAKTI JIVANA Smatika Jurnal : STIKI Informatika Jurnal
Firman Noor Hasan
Universitas Muhammadiyah Prof. Dr. Hamka
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Penerapan Business Intelligence Untuk Menganalisis Data Kasus Covid-19 Di Provinsi Jawa Barat Menggunakan Platform Google Data Studio Muhammad Ardhi Ryan Saputra; Dimas Febriawan; Firman Noor Hasan
Jurnal Ilmiah Komputasi Vol. 22 No. 2 (2023): Jurnal Ilmiah Komputasi : Vol. 22 No 2, Juni 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.22.2.3362

Abstract

Bagi masyarakat informasi tentang penanganan pandemi COVID-19 memiliki banyak manfaat, salah satu diantaranya adalah kewaspadaan masyarakat meningkat terhadap epidemi virus corona. Penerapan terhadap Business Intelligence (BI) untuk meringkas data dan mengorganisasi dataset. Artikel ini menggunakan Business Intelligence sebagai alat untuk menggambarkan kasus COVID-19 dan menganalisis yang divisualisasikan kedalam Peta persebaran virus corona di Jawa Barat, diagram kasus positif COVID-19 dalam perawatan, diagram kasus kematian, diagram kasus sembuh, diagram kasus pertumbuhan harian positif COVID-19, total kasus keseluruhan COVID-19 yang terkonfirmasi, total keseluruhan kasus kematian, serta total keseluruhan kasus sembuh, dan dashboard Yang Menyajikan Informasi Secara Menyeluruh. Penulisan artikel ini menggunakan data historis yang didapatkan dari web resmi pemerintah Pusat Informasi COVID-19 di Jawa Barat (PIKOBAR) dengan rentang waktu bulan Maret 2020 sampai dengan Januari 2023. Metode penelitian menggunakan data sekunder yaitu dataset dengan tools Google Data Studio. Hasil menganalisis dataset dari penulisan artikel ini yaitu menampilkan visualisasi data dalam bentuk Dashboard pada kabupaten yang terkena epidemi COVID-19 di Provinsi Jawa Barat. Dengan adanya Dashboard yang disediakan oleh Google Data Studio tampilan data menjadi lebih menarik dan informatif. Dengan menganalisis, dan memvisualisasikan data yang relevan, pemerintah dapat membuat keputusan yang lebih efektif dan responsif terhadap penyebaran virus, memastikan kesehatan, dan mengurangi dampak ekonomi dan sosial yang terkait dengan pandemi.
Implementasi Business Intelligence Menggunakan Tableau Untuk Visualisasi Data Dampak Bencana Banjir di Indonesia Dandie Triyanto; Muchammad Sholeh; Firman Noor Hasan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.769

Abstract

Indonesia is a region prone to natural disasters, one of which is flooding. The purpose of this study was to visualize the impact areas of the natural flood disaster in all provinces of Indonesia by implementing business intelligence, which displays the number of submerged houses, damaged houses, and public facilities, as well as the number of dead, missing, and injured victims. The method of this research was obtained in the form of a dataset sourced from the National Disaster Management Agency from January 1, 2008, to January 31, 2023, using the business intelligence platform Tableau Public. The results of the research are in the form of reports and dashboards that display data visualization for flood-affected provinces in Indonesia. In conclusion, based on the visualization results obtained, the province that experienced the impact of the flood disaster was West Java with the highest number of 1,538,125, and based on all cities and districts in February 2021, there were 221,715 The most damaged houses and public facilities, namely 4,929 houses and 76,795 public facilities; and the most flood victims, namely 173 missing victims in 2010, 500 dead victims in 2010, and 69,656 injured victims in 2008.
Analisis Sentimen Ulasan Pelanggan Pada Aplikasi Fore Coffee Menggunakan Metode Naïve Bayes Tia Anggita Sari; Estu Sinduningrum; Firman Noor Hasan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.884

Abstract

Evolution of the coffee shop enterprise in Indonesia is progressing rapidly, because coffee consumption in Indonesia continues increasing every year. In selecting the application to be used usually consider security, convenience and many promotions. But some users are still hesitant in using an application because some of the reviews are displayed, then from that problem a research is carried out using sentiment analysis to produce a classification on customer satisfaction with fore coffee using the Naïve Bayes Algorithm. The stages of this research consist of collecting data from web scraping, data preprocessing, The utilization of TF-IDF data weighting, coupled with the successful deployment of the Naive Bayes algorithm, leads to a heightened level of precision while ensuring a straightforward and prompt workflow. Results of data processing and application of algorithms. Process results data processing carried out there are 1801 data, the highest number of sentiments is positive sentiment of 1163 and 315 negative sentiments. This shows that from 1801 data comments that users the fore coffee application likes the services provided by the fore coffee baristas, but there are also the community who don't like the waiter given by the barista. The accuracy value that has been obtained after processed using the naïve Bayes algorithm, a percentage of 74.28% is obtained which can be seen that the data can be used as a basis for fore coffee in considering decision making.
Pelatihan Sertifikasi Microsoft Office Specialist (MOS) Bagi Siswa-Siswi SMK Islam Malahayati Jakarta Firman Noor Hasan; Djeli Moh Yusuf; Fayakun Kun
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 3 (2023): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v7i3.13582

Abstract

Educators who have competence in certain areas of expertise will guide their students to have competency in those areas of expertise. Competency in the field of expertise is obtained through a certification exam. The main purpose of competency certification is to ensure a person is competent in their area of expertise through the learning stage as well as the work experience stage. Certifications are usually issued by institutes, organizations, or professional associations that oversee certain professional competencies. This activity is motivated by the following: (1) In general, teachers and students do not know about the importance of competency certification, which is not only recognized nationally but is also recognized on an international scale. (2) In general, teachers and students do not know how to use Microsoft Office tools in accordance with international standards (SI). (3) There are still many students who do not have competency certification, both at the national and international levels. (4) Students do not know the international competency certification exam methods that use the CBT system and simulators that are connected in real-time. This community service activity is in the form of a training method for Microsoft Office Specialist International competency certification, which is divided into several stages. The results of the evaluation questionnaire filled out by the participants resulted in 52.23% feeling very satisfied, while 44.06% of the participants felt agreeable, satisfied, and helped through community service and mentoring activities.
Analisis Sentimen Terhadap Kandidat Calon Presiden Berdasarkan Tweets Di Sosial Media Menggunakan Naive Bayes Classifier Allif Rizki Abdillah; Firman Noor Hasan
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 01 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i01.750

Abstract

This research is to analyze the sentiments of the Indonesian people about the presidential candidates who are likely to advance in the 2024 presidential election from tweets on the Twitter application. Tweets on Twitter are written, typed and published by Indonesian netizens about the candidates who are likely to advance in the 2024 presidential election. In this study, researchers used tools, namely RapidMiner Studio to collect tweet data from Indonesian netizens about the candidates. Furthermore, the researcher uses the Naïve Bayes Classifier algorithm to determine whether a statement or sentiment has a positive or negative value which is carried out using Rapid Miner tools as well. Of the four candidates that the researchers examined, Anies got 74% positive sentiment 26% negative sentiment, then followed by Sandi, namely 57% positive sentiment 43% negative sentiment, Ganjar received 53% positive sentiment 47% negative sentiment and Prabowo received 32% positive sentiment. 68% negative sentiment. The conclusion of this research is to find out which candidates are liked or favored by the Indonesian people from the results of sentiment analysis using the Naïve Bayes algorithm and the tools used, namely Rapid Miner.
The Influence of Simping Clamshell Addition on Disc Brake Pad Mechanical Properties Agus Fikri; Firman Noor Hasan; Riyan Ariyansah
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa dan Inovasi Volume 5 Nomor 2 Tahun 2023
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v5i2.4984

Abstract

The brake pads made from asbestos are environmentally hazardous due to the friction and abrasion occurring during braking, resulting in the release of airborne asbestos fibers. These fibers pose various health risks to humans and contribute to environmental pollution. This study aims to analyze the influence of adding clamshell waste material on the mechanical properties of motorcycle disc brake pads. The research utilized an experimental approach, conducting tensile and friction tests on six samples with different compositions: 100% brake pads, 40% brake pads, 60% simping clamshell, 60% brake pads, 40% simping clamshell, 20% brake pads, 80% simping clamshell, 50% brake pads, 50% simping clamshell, and 100% brake pads. The results indicate that the sample comprising 50% used brake pads and 50% simping clamshell exhibited the smallest difference in thickness, measuring 0.05 mm or 0.59%, indicating the strongest adhesive strength and wear resistance compared to other variations. Thus, a higher simping clamshell composition sacrifices some tensile strength but offers improved elasticity, benefiting specific braking conditions.
Analisis Sentimen Twitter Terhadap Perpindahan Ibu Kota Negara Ke IKN Nusantara Menggunakan Orange Data Mining Hafizh Dhery Al Assyam; Firman Noor Hasan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.957

Abstract

This study uses text mining which involves changing unstructured text to be structured and can be processed by a computer. In order to recognize important new patterns and ideas, several analytical techniques are used, including the text clustering method, Naive Bayes, and Support Vector Machines (SVM). Text Clustering analysis technique, which involves cluster analysis of text-based documents, can assist in categorizing and understanding unstructured text data using machine learning technology and Natural Language Processing (NLP) used in this process. This study aims to evaluate the community's response to the relocation of the national capital to Kalimantan. after going through the cleansing process, namely cleaning punctuation and characters, Transform Case, namely changing letters to lowercase, Tokenization is the process of dividing text sentences or paragraphs into certain parts, Stopwords Reducing the index in the text by removing some verbs, adjectives and other adverbs . The results of the analysis will be displayed in the form of a word cloud with words dominated by Indonesian and then Indonesian and distribution tables. The researcher collects 100 data via Twitter to become a dataset. The results of sentiment analysis with the Naive Bayes Classifier algorithm obtained results, namely 6 forms of emotion which were dominated by surprise (80%) and joy (50%), sadness (15% Sadness), fear (Fear) 10%, disgust (Disgust). ) 0% , angry (Anger) 0%.
Rancang Bangun Sistem Informasi Pendataan Obat Pada Apotek Berbasis Website Indra Ramadhan; Hibatullah Faisal; Firman Noor Hasan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.979

Abstract

Wailola Farma Pharmacy is a type of business in the field of health services. This pharmacy provides various products or types of medicines ranging from common drugs to hard drugs that must use a doctor's prescription. This pharmacy also provides examination services for several diseases such as cholesterol, uric acid, high blood pressure, and diabetes. Established in 2014 in Bula District, East Seram Regency, Maluku Province. The problem that occurs is that the system is still done manually, such as checking drug stocks one by one. Thus, if the customer wants to buy medicine, the employee must check the stock of medicine directly to the warehouse.  Sales data collection still uses a notebook. This research involves comprehensive stages in the system development process, starting from understanding user needs, analyzing needs, system design, to implementation and testing. The method used is the waterfall method, this method follows a structured, sequential, and gradual process starting from the communication process, followed by the planning process, then the modeling process, the construction process and ending with the implementation process. The result of the research is a drug data collection information system in a pharmacy that displays a main page interface that can make it easier for employees to monitor daily reports on drug purchases and sales, displays a drug page interface that can easily manage drug data, displays a supplier page interface to manage supplier data, make drug purchases to suppliers on the purchase page, and make drug sales on the sales page. In addition, this system also ensures data security by storing it online in a database. The existence of this information system positively contributes to improving services to consumers. This information system has passed the black box testing stage
Implementasi Algoritma Naïve Bayes Terhadap Analisis Sentimen Ulasan Aplikasi MyPertamina Pada Google Play Store Fauzan Setya Ananto; Firman Noor Hasan
Jurnal ICT: Information Communication & Technology Vol. 23 No. 1 (2023): JICT-IKMI, Juli 2023
Publisher : LPPM STMIK IKMI Cirebon

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

Abstract

The application made by PT. Pertamina is an application called MyPertamina. Aside from being a media for transactions, MyPertamina application is also give a rewards and e-vouchers to customer that can be used for transaction benefits at various Pertamina gas stations. Purposes of this research to obtain sentiment data in reviews of the MyPertamina application from the Google Play Store in the form of a text also it looks at an opinion from a user's point of view divided into positive or negative. Data retrieval on MyPertamina application reviews is processed using web scraping techniques using the Google Colab website. The data that has been obtained is then labeled either positive or negative. Data that has been labeled is then cleaned through a preprocessing process which will later be classified by implementing the Naïve Bayes Algorithm. This classification aims to find accuracy, precision, and recall values from reviews of the MyPertamina application data that have been obtained. After classifying, the data was then evaluated and the results obtained were an accuracy value of 77.42%, a precision value of 49.98%, and a recall value of 76.87%.
Analisis Sentimen Komentar Netizen Terhadap Pembubaran Konser NCT 127 Menggunakan Metode Naive Bayes Nisa Qonita Rizkina; Firman Noor Hasan
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3803

Abstract

The present rate of technological advancement has resulted in the rapid spread of information, which is easily available through social media platforms such as Twitter. Users of Twitter can send and read content in the form of text or videos using the facilities that Twitter itself offers. Numerous Twitter users have commented on the NCT 127 concert's recent dissolution, which has drawn both supportive and critical remarks. A dataset of 2451 tweets was created by gathering information from Twitter using the keyword "nct" between November 4 and November 6, 2022. The data was subsequently cleaned, yielding a total of 2451 useable data points. Labeling and the Naive Bayes algorithm were then applied to the data. The goal of this study was to count the number of favorable and unfavorable tweets and evaluate how well the Naive Bayes algorithm was applied. According to the trials done, there were 559 favorable remarks and 1,892 negative ones. The accuracy of the evaluation tests was 82.01%. Additionally, the analysis of negative sentiment produced a f1-score of 79.21%, a recall of 68.52%, and precision of 93.84%. Contrarily, the evaluation of positive attitude produced a f1-score of 84.15%, a recall of 95.50%, and a precision of 75.21%. The Naive Bayes method, it may be inferred, can categorize and process with a very consistent accuracy that approaches near-perfect outcomes.
Co-Authors Abdillah, Allif Rizki Abdul Syakir Achmad Ramadhan Achmad Sufyan Aziz Afandi, Irfan Ricky Affandi, Irfan Ricky Afikah, Prista Afnan Sabili, Dian Ainurrafik Agus Fikri Agus Fikri Ahmad Rizal Dzikrillah Ahmad Rizal Dzikrillah Ahmad Roshid Ahmad Syahril Ahmad Syahril Al Ghozi, Dhiyauddin Alfandi Safira Alim, Endy Sjaiful Allif Rizki Abdillah Allif Rizki Abdillah Allif Rizki Abdillah Ammar Rusydi Ananda Prasta Warasati Janah Ananda, Ridha Faiz Andika Saputra Andriani, Vivi Anhari, Tirta Anwar Hidayat Ari Wibowo Arief Wibowo Arien Bianingrum Rossianiz Arvin Rafialdo Aulia, Muhammad Fathan Avorizano, Arry Azhar Haikal Anwar Azhar Haikal Anwar Azis Styo Nugroho Bagas Kembar Rezkyllah Bahrul Rozak Bahrul Rozak Dan Mugisidi Dandie Triyanto Desty Afni Dewi Mayangsari Dian Ainurrafik Afnan Sabili Dian Ainurrafik Afnan Sabili Diana Fitri Lessy Diana Fitri Lessy Dimas Febriawan Dimas Febriawan Dimas Febriawan Dion Parisda Ray Djeli Moh Yusuf Doni Gunawan Rambe E Erizal Erizal Erizal Estu Sinduningrum Estu Sinduningrum Fachri Zaini Fadli Al Gani Fadli Hardiyanto Putra Fadli, Khairul Faisal Parsakh Nursyamsi Faisal Parsakh Nursyamsyi Fajar Sidik Faldy Irwiensyah Faldy Irwiensyah Faldy Irwiensyah, Faldy Farhan Bias Purnama Putra Farhan Nufairi Farhan Nufairi Fathurrohman, Sewin Fauzan Setya Ananto Fauzi Kurniawan Fayakun Kun Febriandirza, Arafat Febriawan, Dimas Gusnul Mahesa Hafizh Dhery Al Assyam Handika, Yusuf Hanif, Isa Faqihuddin Hardyatman, Intan Diah Hazbi Santoso Hibatullah Faisal Hibatullah Faisal Hibatullah Faisal Hilmi Ammar Hilmy Zhafran Muflih I Ketut Sudaryana, I Ketut Ibnu Suhada Indra Ramadhan Indra Ramadhan Indriyanti, Prastika Intania Widyaningrum Irawati Irawati Irfan Ricky Afandi Irfan Ricky Affandi Irma Wahyuningtyas Isnan Wisnu Prastiyo Kamayani, Mia kivandi Nugroho Krisna, Mohammad Dito Dwi Kurniyati Nur Lathifah Dini Rachmawati Lingga Lingga Lingga Lita Astri Pramesti Luqman Abdur Rahman Malik Lutfi Triyuli Evana Rizki Luthfi Akbar Ramadhan M. Asep Rizkiawan Meliyawati MILASARI, LISA ASTRIA Mohammad Akhdaan Juliandra Muchammad Sholeh Muchammad Sholeh Muflih, Hilmy Zhafran Muhamad Saiful Arif Muhammad Abid Fajar Muhammad Ardhi Ryan Saputra Muhammad Ikhwan Muhammad Ikhwan Muhammad Rafly Al Fattah Zain Muhammad Ridwan Muhammad Rifansyah Mukti, Avis Tantra Mutiara Zahra Arifin Nisa Qonita Rizkina Nofendri, Yos Nugroho, Dendy Aprilianto Nunik Pratiwi Oktarina Heriyani Pamungkas, Dimas Panji Islami Anakku Pavita, Rachma Pranata, Ananda Bagas Prisilia Talakua Prista Afikah Purnamaningsih, Ine Rahayu Putri, Kirana Alyssa Rafli Erlangga Rahman Malik, Luqman Abdur Rahmatullah, Ahmad Faiz Ramadhita, Nindia Fitri Ramzah, Harry Reisa Inayah Rian gustini Ridwan Bagus Andreyanto Ridwan Maulana Subekti Rika Nurhayati Riyan Ariyansah Rizki Alamsyah Rizki Kamelia Rizky Ramdhani Rosalina Rozak, Bahrul Saputra, Ramadani Sari, Jessica Windi Sari, Laila Atikah Setiawan, Ahmat Sewin Fathurrohman Simamora, Silvia Damayanti Sinduningrum, Estu Sistani, Muhammad Ghiffar Siti Nurhaliza Sri Fitriani Sunata, Muhamad Hafidz Ardian Syahri, Alfi Tasya Rizki Salsabilla Tia Anggita Sari Transiska, Dwi Wahyu Stiyawan Wahyuningtyas, Irma Wanda Aulia Widyastuti Andriyani Windi Al Azmi Wulandari, Sania Zahra, Khofifah Humaeroh Az Zaini, Fachri Zuhri Halim Zuhri Halim, Zuhri