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All Journal Jurnal Pseudocode SMATIKA Jurnal Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal SOLMA Prosiding Seminar Nasional Teknoka Dinamisia: Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Linguistik Komputasional Jurnal ICT : Information Communication & Technology FIKROH: JURNAL PEMIKIRAN DAN PENDIDIKAN ISLAM Zonasi: Jurnal Sistem Informasi Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Infotech: Journal of Technology Information Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) KLIK: Kajian Ilmiah Informatika dan Komputer Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan SmartComp Fikroh: Jurnal Pemikiran dan Pendidikan Islam JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
Firman Noor Hasan
Universitas Muhammadiyah Prof. Dr. Hamka
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ANALISIS SENTIMEN MASYARAKAT TERHADAP PAYLATER MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER Alfandi Safira; Firman Noor Hasan
ZONAsi: Jurnal Sistem Informasi Vol. 5 No. 1 (2023): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2023
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v5i1.12856

Abstract

Online shopping is so popular with the public because it is easy and convenient to do. The convenience of online shopping is supported by the payment method via paylater. However, paylater also results in bad behavior such as impulse buying. Various responses from the community made researchers conduct research to find out the public's view of paylater. In this study, researchers tried to do sentiment analysis using the Naive Bayes Classifier and TextBlob methods from the TetxBlob library with the Python programming language. From the dataset collected via Twitter, it produces 405 data. Sentiment analysis using the Naive Bayes Classifier method produces a negative sentiment of 70.62% or 286 data, positive sentiment is 22.72% or 92 data, neutral sentiment is 6.67% or 27 data. Meanwhile, using the TextBlob method also produced more negative sentiment, namely 55.8% or 226 data, positive sentiment collected 33.09% or 134 data, neutral sentiment amounted to 11.11% or 45 data. Thus, it can be concluded that the community feels unfavorable towards the use of paylater. In testing the model with the confussion matrix, it can be seen that the Naive Bayes Classifier algorithm is more accurate by 91% compared to TextBlob which is only 61%.
Rancang Bangun Game Edukasi Bahasa Sunda pada SDN Jatiwaringin XII Wanda Aulia; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 6 (2021): Prosiding Seminar Nasional Teknoka ke - 6
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Bahasa Sunda merupakan salah satu mata pelajaran di SDN Jatiwaringin XII. Namun, banyak siswa yang mengalami kesulitan terhadap pelajaran bahasa Sunda karena kebanyakan dari mereka merupakan pendatang, selain itu penyampaian materi yang dilakukan secara daring juga merupakan salah satu penyebabnya. Untuk membantu siswa mempelajari bahasa Sunda, makadibuatlah game edukasi bahasa Sunda yang dapat mudah dimainkan dan dipahami. Dalam game ini siswa mendapatkan materi bahasa Sunda dan diberikan pertanyaan terkait materi sebelumnya. Pembuatan game ini menggunakan metode Game Development Life Cycle (GDLC) dengan menggunakan scratch. Penelitian ini menghasilkan game edukasi bahasa Sunda yang dapat diakses secara langsung melalui website. Dari pengujian, didapatkan bahwa sebesar 92,5% dari 7 responden sangat setuju game ini mudah dimainkan dan dipahami.
Sistem Informasi Berbasis Android untuk Meningkatkan Layanan Terhadap Alumni (Studi Kasus: Keluarga Mahasiswa Fakultas Teknik Uhamka) Sri Fitriani; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 5 (2020): Prosiding Seminar Nasional Teknoka ke - 5
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Information technology is the main choice for creating an information system that is obtained accurately and precisely. The background of the Mobile App-based alumni information system, namely the UHAMKA Faculty of Engineering does not yet have a Mobile App-based information system for alumni who have graduated, with the Alumni application it can make it easier to find information such as job vacancies, events, important information announcements and can chat for Alumni. So it is less maximized in processing and developed. The purpose of this system is to design an information system based on Mobile App, the designof this system uses the Waterfall method which consists of needs analysis, system design, program syncode writing, Program Implementation and Testing, and System Maintenance, Creating Alumni application with profile features, features forum, forum detail feature, chat feature, and announcement feature with Mobile App. The results of this study were tested with the Black Box method, resulting in that the system gets 84.20% of student users. So it can be concluded that making Alumni applications can help Alumni get important information such as job vacancies, events and other announcements.
Rancang Bangun Game Edukasi Matematika Pada SDN Jatiwaringin XII Windi Al Azmi; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 6 (2021): Prosiding Seminar Nasional Teknoka ke - 6
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Matematika sering dianggap sulit oleh siswa. Penyebab sulitnya mempelajari matematika karena beberapa masalah, seperti penyajian pembelajaran matematika tidak menarik bagi mereka dan siswa yang cenderung malas menghafalkan rumus. Penelitian ini bertujuan untuk membuat suatu media pembelajaran yang interaktif yaitu gameedukasi matematika yang dapat digunakanoleh siswauntuk mempelajari matematika. Dengan adanya game edukasi bisa memudahkan siswa dalam mempelajari matematika dan juga bisa membuat meningkatkan minat belajar. Dalam penelitian inimenggunakanmetodeGame Development Life Cycle (GDLC). Berdasarkan hasil pengujiandengan menggunakan skala likert, maka didapatkan presentase sebesar 93% yang menunjukkan siswa dapat menggunakan media pembelajaran interaktif seperti game edukasi matematika untuk mempelajari matematika.
Perancangan Sistem Aplikasi Monitoring Barang menggunakanBarcodeBerbasis Android. (study kasus Toko Chacha cell ITC Cempaka mas) Rian gustini; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 5 (2020): Prosiding Seminar Nasional Teknoka ke - 5
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Cha-cha cell ITC Cempaka Mas is one of the mobile buying and selling stores that have not utilizes a computerized database system so that it still checks the price and stock of items manually andthesales database is still using thick books. This checking process makes buying and selling transactions takea long time because checking items and prices are still done manually. Therefore/that's why, the author approves an application that makes it easy to check inventory. This application uses the prototypingmethod which is tested by the Black Box test method and from the results of interviews with the owner regarding the application that provides employees in checking stock of items sold and items bought.
Rancang Bangun Sistem Informasi untuk Toko Online Berbasis Aplikasi Android Desty Afni; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 6 (2021): Prosiding Seminar Nasional Teknoka ke - 6
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Petshop adalah salah satu tempat untuk menjual kebutuhan hewan peliharaan seperti menjual peralatan dan perlengkapan untuk hewan peliharaan. Saat ini sistem penjualan yang digunakan oleh Klinik Petshop “wine” masih menggunakan cara manual, dimana para pelanggan harus datang langsung ke toko untuk membeli kebutuhan hewan peliharaan. Pada penulisan ini bertujuan untuk mempermudah klinik petshop “wine” dalam mengelola transaksi jual-beli peralatan dan perlengkapan hewan peliharaan secara online, dan memberikan informasi mengenai cara perawatan hewan serta jual-beli hewan peliharaan. Metode yang digunakan dalam penelitian ini ialah metode waterfall. Hasil yang diperoleh dalam penelitian ini adalah telah dibangun aplikasi petshop wine berbasis android yang terbukti dapat mempermudah costumer dalam membeli perlengkapan dan peralatan hewan peliharaan terbukti dari hasil uji efektivitas sistem diperoleh sebesar 91,33%, lalu untuk hasil uji efektivitas yang dilakukan oleh admin sebesar 83,17%, responden yang menyatakan bahwa aplikasi ini telah dikategorikan sesuai atau telah efektif layak diterapkan pada petshop wine.
Implementasi Business Intelligence Untuk Menganalisis Data Penyakit Diabetes Menggunakan Platform Tableau Muhamad Saiful Arif; Kurniyati Nur; Ridwan Maulana Subekti; Reisa Inayah; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Diabetes is a chronic metabolic disorder with multi-etiology characterized by high levels of sugar and is the result of insufficiency of insulin function present in the human body. The purpose of this article is to visualize and find out the rate of diabetes cases around the world based on the age range of the dataset that has been concentrated by implementing Business Intelligence to display confirmed case data, both in pregnancy, Body Mass Index (BMI), and blood pressure. The motto used is to process the world dataset from the www.kaggle.com data platform, this dataset is processed using the tableau desktop platform. The results of this article are in the form of reports in the form of Dashboards such as the number of confirmed cases both in pregnancy, Body Mass Index (BMI), and blood pressure that exist in the world and can be used to support a decision making. The interface display of the processed dataset is the result of an interestingly formed analysis, using an interactive Dashboard provided by tableau so that the data can be displayed attractively.
ANALISIS SENTIMEN TERHADAP APLIKASI COFFEE MEETS BAGEL DENGAN ALGORITMA NAÏVE BAYES CLASSIFIER Andika Saputra; Firman Noor Hasan
SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, dan Pendidikan Vol. 2 No. 2 (2023): January
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sibatik.v2i2.579

Abstract

Di era modern dengan kemajuan teknologi yang sangat pesat ini, tercipta banyak aplikasi yang dapat membantu beragam kebutuhan manusia saat ini. Salah satu nya adalah aplikasi online dating atau aplikasi pencari jodoh online. Banyaknya pihak yang melihat peluang bisnis dari membuat aplikasi online dating ini dengan memanfaatkan latar belakang manusia untuk mencari jodoh. Aplikasi online dating menjadi fenomena sosial di kalangan masyarakat mulai dari kalangan muda sampai yang tua, mereka yang belum menemukan jodohnya mencoba untuk menggunakan aplikasi online dating ini sebagai alternatif untuk mendapatkan jodoh lebih mudah. Kegiatan online dating berbeda dengan mencari pasangan yang umumnya secara konvensional, hubungan yang tercipta melalui aplikasi online dating tergantung pada daya tarik pengguna dan gaya komunikasi penggunanya. Aplikasi online dating telah memiliki banyak digemari setelah kemunculan dan cara kerjanya yang membuat pengguna bertemu dengan banyak orang baru lalu menjalin banyak hubungan pertemanan. Fenomena tersebut membuat situs dan aplikasi online dating ini menjadi wadah bagi orang-orang yang ingin menjalin pertemanan dan menemukan pasangan.
Analisa Visualisasi Data Kematian Yang Disebabkan Oleh Penyakit Hiv Dan Malaria Diseluruh Dunia Dengan Metode Business Intelligence Menggunakan Dashboard Tableau Mutiara Zahra Arifin; Bagas Kembar Rezkyllah; Fadli Hardiyanto Putra; Rizky Ramdhani; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

HIV and Malaria are diseases that claim many victims in all parts of the world. Although in some countries there are treatments that can reduce mortality rates, not all countries have these treatments. So there are still many deaths from these two diseases. This study will analyze data visualization from kaggle in the form of dashboards and visualizations using the story feature available on Tableau, with the aim of this research being able to find out how many people die due to HIV and Malaria worldwide. Of all that, a method called Business Intelligence uses an interactive dashboard option provided by Tableau to be used as a decision making tool, which can then be converted into a visualization which will later be combined into an information dashboard. This study obtained the results of the BI dashboard display starting from the number of HIV and Malaria death cases worldwide, the distribution of death cases worldwide and countries with the highest number of death cases. This research yielded accurate results, namely the number of deaths from HIV was 36,364,419 people and the number of deaths from malaria was 25,342,676 people, the country with the most HIV deaths came from South Africa and the country with the most Malaria deaths came from Nigeria, and a comparison of the results of HIV deaths and Malaria in Indonesia.
Implementasi Business Intelligence Untuk Menganalisis Data Destinasi Wisata di Indonesia Menggunakan Platform Tableau Diana Fitri Lessy; Lita Astri Pramesti; Rafli Erlangga; Muhammad Rafly Al Fattah Zain; Firman Noor Hasan
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Tourist destinations are one of the main choices that can be made in spare time. Indonesia is a country that is famous for its beauty, so it attracts many tourists to visit. The purpose of this study focuses on visualizing tourist destination data in Indonesia by implementing Business Intelligence to display places, prices and ratings from five cities in Indonesia. The method of this research is to process a dataset of tourist destinations in Indonesia from www.kaggle.com using the Tableau platform. The results of this study are in the form of reports in the form of dashboards such as places, prices and ratings from five cities in Indonesia which are used in the decision-making process to make it easier and more systematic. The data display from the results of the analysis that has been carried out produces an attractive and interactive dashboard provided by Tableau.
Co-Authors Achmad Ramadhan Agus Fikri Ahmad Faiz Rahmatullah Ahmad Rizal Dzikrillah Ahmad Rizal Dzikrillah Ahmad Roshid Ahmad Syahril Alfandi Safira Allif Rizki Abdillah Allif Rizki Abdillah Allif Rizki Abdillah Ananda Bagas Pranata Ananda Prasta Warasati Janah Andika Saputra Ari Wibowo Arief Wibowo Arien Bianingrum Rossianiz Arvin Rafialdo Avis Tantra Mukti Avorizano, Arry Azhar Haikal Anwar Azhar Haikal Anwar Bagas Kembar Rezkyllah Bahrul Rozak Bahrul Rozak Dan Mugisidi Dandie Triyanto Desty Afni Dian Ainurrafik Afnan Sabili Dian Ainurrafik Afnan Sabili Diana Fitri Lessy Diana Fitri Lessy Dimas Febriawan Dion Parisda Ray Djeli Moh Yusuf Erizal Erizal Estu Sinduningrum Estu Sinduningrum Estu Sinduningrum Estu Sinduningrum Fadli Hardiyanto Putra Faisal Parsakh Nursyamsi Faisal Parsakh Nursyamsyi fajar sidik Fajar Sidik Faldy Irwiensyah Faldy Irwiensyah Farhan Bias Purnama Putra Farhan Nufairi Farhan Nufairi Fauzan Setya Ananto Fauzi Kurniawan Fayakun Kun Febriandirza, Arafat Hafizh Dhery Al Assyam Harry Ramzah Hibatullah Faisal Hibatullah Faisal Hilmy Zhafran Muflih Hilmy Zhafran Muflih I Ketut Sudaryana Ibnu Suhada Indra Ramadhan Indra Ramadhan Intania Widyaningrum Irawati Irawati Irfan Ricky Affandi Irfan Ricky Affandi Isa Faqihuddin Hanif Isnan Wisnu Prastiyo Kurniyati Nur Lingga Lita Astri Pramesti Luqman Abdur Rahman Malik Luthfi Akbar Ramadhan Meliyawati Mia Kamayani Mohammad Akhdaan Juliandra Muchammad Sholeh Muchammad Sholeh Muhamad Saiful Arif Muhammad Abid Fajar Muhammad Ikhwan Muhammad Ikhwan Muhammad Rafly Al Fattah Zain Muhammad Ridwan Mutiara Zahra Arifin Nisa Qonita Rizkina Nofendri, Yos Nunik Pratiwi Prastika Indriyanti Prista Afikah Rafli Erlangga Reisa Inayah Rian gustini Ridwan Maulana Subekti Rika Nurhayati Riyan Ariyansah Rizki Alamsyah Rizki Kamelia Rizky Ramdhani Sri Fitriani Tasya Rizki Salsabilla Tia Anggita Sari Wahyu Stiyawan Wanda Aulia Windi Al Azmi Zuhri Halim