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All Journal Jurnal Dedikasi Sainteks Transmisi: Jurnal Ilmiah Teknik Elektro CommIT (Communication & Information Technology) Jurnal Ilmiah Kursor Jurnal Informatika Telematika SMATIKA UNEJ e-Proceeding Jurnal Ilmiah KOMPUTASI JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control MATAPPA: Jurnal Pengabdian Kepada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Multitek Indonesia : Jurnal Ilmiah JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer System and Informatics (JoSYC) Infotek : Jurnal Informatika dan Teknologi Academia Open Indonesian Journal of Law and Economics Review Journal of Computer Networks, Architecture and High Performance Computing J-SAKTI (Jurnal Sains Komputer dan Informatika) Indonesian Journal of Education Methods Development Indonesian Journal of Innovation Studies Aptekmas : Jurnal Pengabdian Kepada Masyarakat PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Jurnal Algoritma JOINCS (Journal of Informatics, Network, and Computer Science) Journal of Artificial Intelligence and Digital Business Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) SENAPAS Jurnal Informatika Polinema (JIP) Indonesian Journal of Applied Technology Journal for Technology and Science Computing and Information System Journal Jurnal Komunikasi Bisnis dan Teknologi Digital
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Journal : JOINCS (Journal of Informatics, Network, and Computer Science)

Extraction of Normal characteristics and Abnormal cardiac signals using methods of Sampling techniques Dimas Tri Anggara; Hindarto
JOINCS (Journal of Informatics, Network, and Computer Science) Vol 2 No 2 (2019): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1174.134 KB) | DOI: 10.21070/joincs.v2i0.689

Abstract

Health is a serious issue facing the world today. Health problems are increasingly growing with changing times. One of them is the health of the heart, so we need a data that can monitor the condition of normalcy and abnormal heartbeat of a person with the method of sampling technique, heart rate and position of a person so that later in the event of health problems that are really worrying can be quickly resolved quickly integrated with of course sending information that can receive long distance and accurate. The data obtained will be entered into the matlab for data calculation and data processing, after that the data obtained will be calculated by the sampling technique method, where this technique can diagnose the normality and abnormality characteristics of the heart signal with a percentage of almost 99% where this research can replace diagnosis of heart signals medically and then the data is sent through matlab data collection communication and entered into the database of health agencies or hospitals and can be used as a reference for the first action before a medical action is performed.
Image-Based Banana Detection Application using K-Nearest Neighbor Achmad Fathoni; Hindarto
JOINCS (Journal of Informatics, Network, and Computer Science) Vol 4 No 1 (2021): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (776.654 KB) | DOI: 10.21070/joincs.v4i1.1578

Abstract

Banana is a fruit that is very beneficial for the human body, because it contains a lot of nutrients needed by the human body. One serving of banana contains about 110 calories, 30kg carbohydrates and 1 gram of protein. At harvest time, farmers will sort the bananas according to their type, then they will be sorted according to quality (for example, level of maturity, type of banana, suitable for consumption). The sorting process is still done manually by banana farmers in the Lumajang area. Therefore, the results of the sorting process will be less accurate because there are differences in opinion on the quality value of each farmer. This study aims to provide standard values for Lumajang banana farmers. So that each banana that has been harvested by the farmer can be grouped according to predetermined standard values. In this study using 5 color features. The results of the feature extraction process will be processed again using the k-nearest neighboor method. The results of this study are an application that can identify the type of banana and the ripeness of the banana. The identification of banana types and the ripeness of bananas were obtained from the extraction process of color features and continued with the k-nearest neighboor method. The results of accuracy using the K-NN method are 68% accurate K3 and 32% inaccurate.
Online Food Ordering Information System Website-Based: Sistem Informasi Pemesanan Makanan Online Berbasis Website Priyambodo, Dimas; Hindarto
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 4 No. 2 (2021): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (604.204 KB) | DOI: 10.21070/joincs.v4i2.1591

Abstract

Warung Mbak Sih is engaged in the culinary field that serves home cooking such as mixed rice, spicy chicken rice, soup rice, sour rice, fried chicken rice, rawon rice. Lots of customers who buy on the spot or order to be packaged. With the application of ordering food at online stalls, the number of visitors queuing can be limited so that they are not too many. The preparation of the application has been done well by using the HTML and PHP programming languages, as well as the Bootstrap framework. The database used with XAMPP software to manage sata is in the form of the SQL framework Bootstrap language so that it displays good display results both in desktop form and in the form of mobile phone pages. With the ordering application, the time used by buyers at the shop is faster, because orders have been prepared in advance. In addition to ordering the application also displays a variety of good information for stall sales.
Co-Authors Abdul Rochim Ach Nur Ardyansyah Achmad Fathoni Ade Efiyan Ade Efiyanti Ade Efiyanti Ade Eviyanti Adisya Ayustina Agung, Aprelareza Ahmad Ahfas Ahmad Ahfas, Ahmad aini firdausi nuzulla Al-Faruq, Rizqi Noval Alshaf Pebrianggara Amwalinsanu Amwalinsanu Anisatul Makfiroh Arginanta, M. Arief Wisaksono Arif Senja Fitrani Astutik, Ika Ratna Indra Azmuri Wahyu Azinar Bimo, Muhammad Nur Bisri, Muhammad Anhar Bramatya Mahendra V.N Cahyono, Priyo Imam Dian Amalia Dimas Bayu, Dimas Dimas Tri Anggara Efendy, Egha Arya Efiyanti, Ade Egha Arya Egha Arya Affandi Endang Fauziati Erika Anjani Putri Fina Rahma Dewi Fitria Eka Wulandari Guko, William Yviis Hamid, Moch Siddiq Hamzah Setiawan Hamzah Setiawan Hendrik Kusnanto Ika Ratna Indra Astutik Ilham Rofiqi, Mochammad Imanda, Almyra Gitta Imroatus Sholikhah, Imroatus Indah Apriliana Sari Wulandari Indrawati, Marcella Istya, Riska Adi Izza Anshory Jasno, Jasno Javier, Gomes Noor Kautsar, Irwan Alnaurus KHOIRI Kurnianto, Happy Lailia, Jauharotul Lorin, Emelin Yuan Mahdhuroh, Umi MARIA BINTANG Maulana Iqbhal Prayogha Slamet maulana, Metatia intan Mauridhi Hery Purnomo Moch Ridwan Alwi Moch. Hariadi Mochamad Alfan Rosid Mochammad Luthfan Hakim Mochammad Luthfan Hakim Mochammad Septa Sandy Mohammad Suryawinata Mufti, Adam Laxmana Muhammad, Fajar Nisa, Umi Khoirun Ni’mah, Alfa Nouval Aulia Rachman Novia Ariyanti NUR KHOLIFAH Nur Maslikhatun Nisak Nur Maslikhatun Nisak Nuril Lutvi Azizah Paramitha Amelia Kusumawardani Prasetyo, Yoga Eko Priyambodo, Dimas Puspitasari, Kiki Candra Putra, Rio Ananda Quraini, Isyaffina Rachmad Aditya Pratama Ramadhan, Mochammad Hisyam Syah Ribangun Bamban Jakaria Riski Yulianto Riski Yulianto Rizky Ndaru Wicaksono Rosa, Yoshinta Maylia Rosid, Muhammad Alfan Rozzaq, Muhammad sandy, Mochamad septa Setiawan, Hamzah Setyawati, Enik Shiddiq, Zulfian Syahril Slamet, Maulana Iqbhal Prayogha Sumarno Sumarno . Sumarno Sumarno Sumarno Sumarno Sumarno Sumarno Supartini, Windah Suprianto Suyadi, Tarekh Alif Firmansyah Syafii, Olynda Mufariihana Nur Syahrorini, Syamsudduha Syamsiar, Syamsiar Tarekh Alif Firmansyah Suyadi Tassa, Tara Januar Abwina Taurusta, Cindy Triwahono, Handi Utama, Bagas Riski Vania, Talitha Viyanti, Amalia Wahyu, Muhamamad Widiantoro, Rulli Windah Supartini Wulandari, Alidza Septiam Yoga Eko Prasetyo Yulian Findawati Yunianita Rahmawati Yunianita Rahmawati, Yunianita Zahputra, Aldy Trisza