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SISTEM INFORMASI DATA PENDUDUK MENGGUNAKAN FRAMEWORK LARAVEL BERBASIS WEB METODE WATERFALL PADA RW.01 RANGKAPAN JAYA PANCORAN MAS DEPOK Muhamad Abizar; Samsoni
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 10 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Population data information system at Rw.01 Rangkapan Jaya uses Laravel Framework is an information for manage population data at Rw.01 Rangkapan Jaya which includes assistance system data, news at Rw.01, which is presented on a website that can be accesed by the admin and chairman of Rw.01 Rangkapan Jaya. In making this using media in the form of mysql software for databases with PHP a Programming language, the Laravel frameworkwith the concept of a model view controller, the methodized in this system is the waterfall method. From testing using the blackbox method that has been carried out, the information system can an well by users who use it. By using this information system, it is hoped that is will make it easier for Rw.01 Rangkapan Jaya devices or management to access the population data as a whole.
Sistem Diagnosa Gejala Penyakit Kesehatan Mental Pada Remaja Menggunakan Metode Naïve Bayes Putri Hana Salsabila; Samsoni
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 10 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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

Abstract

With the existence of an information technology application program this can help and play a very important role in human life, one of these applications is an application of artificial intelligence carried out by experts, this application is used to solve a problem that is usually only done by an expert in the field of direct knowledge . This application is a website-based application that can help diagnose a mental health disease that often occurs in adolescents. The purpose of this application is to diagnose a mental health disease in adolescents and help adolescents to find out whether they are experiencing symptoms of mental health disease or not. This data collection method is carried out in several ways, namely by the method of Observation, Interview and Literature Study, the results of the data collection are then collected and calculated using the Naïve Bayes calculation method, from these data will then be inputted into a website-based application that previously created, this application is made using the PHP programming language and uses the MySQL database. The results and benefits expected in making this thesis are to increase knowledge about mental health so that everyone can be more aware in responding to this, besides that this application is also expected to be able to help a teenager who wants to know about his mental health condition, and is expected to help in alleviating the work of an expert in diagnosing the disease so that the settlement process will be faster and more accurate.
Sistem Pakar Diagnosa Penyakit THT Berbasis Web Dengan Metode Certainty Factor Pada Klinik Medika Kramat Jati Jakarta Timur Apsoh; Samsoni; Aprinia Handayani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 10 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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

Abstract

In the area of East Jakarta, especially in the Medika Clinic, the public can examine the initial symptoms of ENT. With the initial inspection that must be queued, can cause a long time. As a result, many people who do not know clearly the type of illness suffered and how to treat it. Because ENT disease is very related to organs where if not treated immediately, it will be difficult to move daily, therefore, the need for diagnosis of complaints from patients. These patients can directly access the website of a website where patients can diagnose without having to go to a hospital or clinic. By comparing previous studies or literature reviews, the problem to be discussed is to add more symptoms and diseases, then a solution for the disease. So that the website to be made is more detailed and clear, the results of this research is to produce an expert system website that can easily examine the symptoms of the patient and provide the patient's illness and solutions to overcome the disease.
Co-Authors Abdi Virgiansyah, Ferdinand Abdul Hakim Absar Abdallah, Zidan Achdiyat Ilyasa Samudra Ade Maulana Aditya Bayu Nugroho Ahmad Rifai Ahmad Taqy, Muyassar Akmal Dwi Syahputra Aldi Adam Fanrian Aldiansyah, Muhammad Alifiany, Maulidiya Allyssa Zahra Azizah Salsabilla Alyanisa Andang Ramadhan Andhika, Ahmad Andrean Wahyudi Apriani Handayani Aprinia Handayani Apsoh Arrafi, Bintang Arrizque Az Zahra, Salsabila Bagus Sadewo, Fio Baharudin Sidiq Ballo, Errando Berwyn Kurniawan, Akbar Chaerul Mustofa Chandra Kurniawan, Chandra Churul Ain Yahya Daffa Dhiya Ulhaq Danny Toharuddin Ali Dewi Putri Aulia Dian Woro Agustia Dicky Wahyudi Duwi Mulyanto Dwi Syafitri, Khairunisa Dwi Yanti, Wulan Elisa, Nova Erlin Hidayah, Rika Fairuz Dzulfiqar, Muhammad Fajar Ari Yanto Fajar Naufal Abqari Fandi Faried Brian Prawira Fathi Farhat, M. Fathoni Al Farizi, Saddam Fathur Rahman Fauzan Baihaqi, Muhammad Febrian, Ahmad Febrian, Naufal Ferdi Nurochim Fikri Zain Darmawan Firda Auliatunnajah Gustyanto Firgiawan Habib Mochammad Putra Handayani, Aprinia Harits Setiaji Hendi Heru Lukas Ibnu Hajar Jaya Giri Pratama, Donny Karen Azelia Syalom Khairullah Tulfah Khoirul Sofyan Lingga Prasetyo Ludina, Soma Luthfi Hakim, M. M. Umar Marlina Sentosa Mochammad Kani Daffa Mochammad Oldy Saputra Muammar Muhamad Abizar Muhammad Ramadien Rizky Darmawan Nabila, Putri Nafia, Nur Nazdan Rosidin Nazwa Lintang Seina Nur Hafidin, Fauzan Nurul Hikma, Az’zahra Octavia, Tiara Padilla Malik, Topan Pebrian, Yuda Pramana, Rangga Prasnowo, Hamsyah Pujiyanti Purnamasari Puspita Listya Ningrum, Tania Putri Hana Salsabila Rahman Hakim Rahmana, Bambang Ramdani, Muhammad Rauzan Habas Regina Pramushella, Fazha Reza Pahlevi, Zulfikar Rival Yusuf Riyan Sujiandi Rizky Imam Saputra Rizky Rhomadon, Farhan Sabilah Akbar, Muhammad Safitri, Alifiana Satria Romza Satrio, Teguh Sebastian Nigel Sehan, Achmad Slamet Supriyadi Subaidi T Ferdiansyah Tania, Mira Ujang Supriatna Umar Maulana Veny Masullah Wahib Zamzami Wahyu Afrinaldi Wahyu Hening Tegar Setyo Nugroho Wanda Teofilus Martino Yoga Aditya Yusri Indrawan M. Nur ⁠Muhammad Al Hafizh Winarno