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All Journal Jurnal Teknologi dan Manajemen Informatika PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta INOVTEK Polbeng - Seri Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Sistem Informasi dan Aplikasi JURNAL PENDIDIKAN TAMBUSAI J-SAKTI (Jurnal Sains Komputer dan Informatika) JURTEKSI Jurnal Cendikia Jurnal Teknologi Komputer dan Sistem Informasi JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Jurnal Teknologi Informasi dan Pendidikan Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Dinasti International Journal of Education Management and Social Science Zonasi: Jurnal Sistem Informasi JURSIMA (Jurnal Sistem Informasi dan Manajemen) Jurnal E-Komtek Jurnal Sistem Informasi dan Sains Teknologi Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Nuansa Akademik: Jurnal Pembangunan Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen International Journal Software Engineering and Computer Science (IJSECS) Jurnal Ilmiah Manajemen dan Ilmu Sosial : Co-Management Jurnal Pemberdayaan Masyarakat Indonesia (JPMI) Journal of Innovation Research and Knowledge Jurnal Keuangan dan Akuntansi Terapan (KUAT) Padma: Jurnal Pengabdian Kepada Masyarakat JURNAL ILMIAH INFOKOM Media Bina Ilmiah Jurnal Indonesia Sosial Teknologi Jurnal Ekbis (Ekonomi & Bisnis) Cerdika: Jurnal Ilmiah Indonesia JURSIMA Jurnal Infokes (Informasi Kesehatan) Jurnal Ilmiah Manajemen dan Ilmu Sosial : Co-Management Jurnal Sistem Informasi dan Manajemen Jurnal Indonesia : Manajemen Informatika dan Komunikasi International Journal of Information Engineering and Science International Journal of Psychology and Health Science Dinasti Health and Pharmacy Science JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Yuda Syahidin
Manajemen Informatika Politeknik Piksi Ganesha
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Journal : Jurnal E-Komtek

 1 
REST API Architecture Design on Multi-Platform Device Development Yuda Syahidin; Randy Ramadhan
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 5 No 2 (2021)
Publisher : Politeknik Dharma Patria Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v5i2.762

Abstract

Multi-platform devices are becoming the standard technology in software development. However, the problem of multi-platform is that it must provide a single parent data source, so there is a good relationship between users of multi-platform devices and servers. REST APIs are the best choices that bridge the servers and multiple platforms. That way, the use of REST APIs will be very beneficial, both in terms of servers and platforms as consumption. This research planned to create a REST API architecture that can run in multi-platform with testing techniques using black boxes through postman software. As the basis for making REST APIs, it is better to understand the Architecture of REST APIs, especially REST APIs as a multi-platform device.
The Implementation of REST API in Multi-Platform Software Development for Food and Beverage Learning Application Randy Ramadhan; Yuda Syahidin
Jurnal E-Komtek Vol 6 No 1 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v6i1.814

Abstract

This website-based food and beverage learning application is an educational application about food and drink. The problem was that information was more often accessed on smartphone devices, such as Android. The research method used was quantitative, so this research provides a concrete value for the optimal implementation of the REST API. The result obtained was that the website-based REST API application worked on multi-platform devices. With the implementation of this REST API, various devices can communicate with each other with the same source and data, so it does not cause multiple databases to store information.
Application of Artificial Neural Network Algorithms to Heart Disease Prediction Models with Python Programming Yuda Syahidin; Aditya Pratama Ismail; Fawwaz Nafis Siraj
Jurnal E-Komtek Vol 6 No 2 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v6i2.932

Abstract

Heart disease is one of the deadliest diseases in and is the number one killer in the world so many studies are carried out to contribute to predicting a person's heart disease. This study aims to help create an early heart disease prediction model from the UCI Machine Learning Repository dataset. The method proposed in this study is a deep learning technique that applies an artificial neural network algorithm with a hidden layer technique in making a heart disease prediction model. This research stage found problems in improving the accuracy of the datasets used by dealing with problems in pre-processing data, such as missing data and determining the form of data correlation. The model was then tested through a heart disease dataset and yielded 90% accuracy. With the creation of this prediction model with python programming, it is hoped that in addition to helping to make disease predictions, it can also provide further innovations in data science in the health sector.
Design of an Insurance Patient Visit Information System Using The V-Model Method Nunung Mardiah; Fika Nur Afifah; Yuda Syahidin; Irda Sari
Jurnal E-Komtek Vol 6 No 2 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v6i2.1018

Abstract

The objective of this study is to use object-oriented programming to develop an insurance patient visit information system. A qualitative research strategy with a descriptive focus was adopted in this study. A qualitative research strategy with a descriptive focus was adopted in this study. Both observation and a literature review are employed as the data-gathering techniques. Software modeling is done using the Unified Modeling Language and the v-model software development process. The issues identified are as follows: reporting insurance patients is only sometimes ideal, and Delays frequently occur when insurance patient final reports are submitted. The creation of more effective information systems and the use of information technology to create accounts to make them simpler and ensure that the final report of insurance patient visits is not delayed are suggestions made.
Application of Artificial Neural Network Algorithms to Heart Disease Prediction Models with Python Programming Yuda Syahidin; Aditya Pratama Ismail; Fawwaz Nafis Siraj
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 6 No 2 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v6i2.932

Abstract

Heart disease is one of the deadliest diseases in and is the number one killer in the world so many studies are carried out to contribute to predicting a person's heart disease. This study aims to help create an early heart disease prediction model from the UCI Machine Learning Repository dataset. The method proposed in this study is a deep learning technique that applies an artificial neural network algorithm with a hidden layer technique in making a heart disease prediction model. This research stage found problems in improving the accuracy of the datasets used by dealing with problems in pre-processing data, such as missing data and determining the form of data correlation. The model was then tested through a heart disease dataset and yielded 90% accuracy. With the creation of this prediction model with python programming, it is hoped that in addition to helping to make disease predictions, it can also provide further innovations in data science in the health sector.
Design of an Insurance Patient Visit Information System Using The V-Model Method Nunung Mardiah; Fika Nur Afifah; Yuda Syahidin; Irda Sari
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 6 No 2 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v6i2.1018

Abstract

The objective of this study is to use object-oriented programming to develop an insurance patient visit information system. A qualitative research strategy with a descriptive focus was adopted in this study. A qualitative research strategy with a descriptive focus was adopted in this study. Both observation and a literature review are employed as the data-gathering techniques. Software modeling is done using the Unified Modeling Language and the v-model software development process. The issues identified are as follows: reporting insurance patients is only sometimes ideal, and Delays frequently occur when insurance patient final reports are submitted. The creation of more effective information systems and the use of information technology to create accounts to make them simpler and ensure that the final report of insurance patient visits is not delayed are suggestions made.
Co-Authors Ade Irma Suryani Ade Irma Suryani Adellia Permatasari Hartono Adellia Permatasari Hartono Adha Nur Alawiya Makmun Aditya Pratama Ismail Aditya Pratama Ismail Agnia, Fadilatul Alifa Nur Azizah Alzeta Rosdyana Anarki, Dinky Andrean Anasya Intania Permata Andara, Yudha Mulya Andika Dwi Prayoga Anggriani, Mia Anisha, Selly Puji Annisa Syahwa Renjani Annisa, Salma Apriliani, Ima Ardafa Ihromi Asep Zaenudin Asfa Hani Tasya Astuti, Selly Indah Aulia Abdalla Maslyta Aulia, Sarah Auliya Salsabila Aura Aurellia Aurellia, Aura Ayu Septiyana Dewi Ayun, Rizka Qurrota Azzizah, Wulandari Gustina Candra Fatihah, Dian Cici Lara Widiya Citra Halidia Ramadhani Deasy Laela Nursari Debora Serina Br Tarigan Depi Julvianingsih Kadarusman` Depras Nur Yadi Dewi Sri Nurhalimah Dewi, Ayu Septiyana Dhiu, Yuliana Angelina Dina Mardiana Dinky Andrean Anarki Dita Alfiani Widi Saputri Eki Dudi Darmawan Elicukia Elvira, Shinta Elza Dewiana Mahpud Erix Gunawan Erix Gunawan Erix Gunawan Erix Gunawan Fadila, Tiwi Fadliyyah, Helfy Fajar Ramdhani Gumilar Fajrin Ramdani Fajrin Ramdani Fariz Rahmat Mulyadi Faujia, Sheny Fawwaz Nafis Siraj Fawwaz Nafis Siraj Ferdiansyah, Moehammad Rizky Fika Nur Afifah Fika Nur Afifah Fiqri, Arijalul Fuad Satrio Nugraha Ghandy, Qorry Fadilah Gunardi . Gunardi Gunardi Gunawan, Erix Haini DwiJuliani Hendayal Hamdani, Masayu Hana Fadilah Hanifah, Nabila Khaerunnisa Hartono, Adellia Permatasari Henawati Priatna Hendayal, Haini DwiJuliani Herfiyanti, Leni Hernawati, Euis Hidayati, Meira Hikmah Ramadhanti Iis Gugum Gumilar Ina Nuraini Indra Setia Budi Irda Sari Irda Sari . Irma Suryani Irwansyah, Deden Rian Ismayati, Hafifah Isnawan Ardiansyah Fajar Iswaliyah, Rabialda Isya, Ghen Maulana Jeri Sukma Wijaya Jeri Sukmawijaya Jeri Sukmawijaya Jeri Sukmawijaya Jihan Fadillah Juli Saputra, Risa Kadarusman`, Depi Julvianingsih Kamila Najmil Khaira Kamilia, Nala Karmila, Ira Karyadi Karyadi Karyadi Khoirul Ihsan Khoirunnisa, Diana Kustiani, Rini Laksono, Bagas Lasya Dwi Amelia Lathifah Umarul Ridiyat Leni Herfiayanti Lhokseumawe, Rendy Maulana Lusiani Marthen Luvi Luthfia Diranti M Luthfi Fauzi M., Imas Dian Mahdani, Resty Majiid, Nurul Salsasabilla Meira Hidayati Meira Hidayati Meira Hidayati Meira Hidayati Meira Hidayati Meira Hidayati Meira Hidayati Monika, Neng Anisa Muhamad Rizal Triyawan Muhamad Rizki Muhammad Fajar Ramadhan Muhammad Hamdan Ramadhan MUSYARROFAH, TAMI MUGHNIATUL Muthmainnah Muthmainnah Nabila, Silvy Najmuddin, Muhammad Naufal Najrifatussya'diah, Salsabila Neneng Yuniarti Neneng Yuniarty Nilam Islamiati Nunung Mardiah Nunung Mardiah Nurafni Hanifah Nurfalah, Irawati Nurkhotimah, Laila Nursari, Deasy Laela Nurul Salsasabilla Majiid Octaviana, Vina Oktaviana, Rizki Salma Phatonah, Ike Siti Pipih Widyani Pradysta, Linggar Adjie Purwati Hasanah Putri Teja Sulaksana Putri, Ramti Kania Putri, Resty Kustiawanti Raden Rakasiwa Wijaya Rahayu, Fitri Mardiani Rahman, Ika Raisa Salsabila Raisa Siti Khoirunnisa Randy Ramadhan Randy Ramadhan Rangga Rangga Refiani S, Refa Resti Adiyanti Resty Mahdani Reydita Nur Rahmawati, Fannisa Reza Adila Husaeni Tsabat Rieke Dwi Anjeli Rini Susilowati Rini Suwartika Kusumadiarti Risa Juli Saputra Rismaya Widia Sabila Aulia Reihan Safitri, Siti Aisah Nuraini Sahara, Denisa Sakinah Sali Setiatin Salimah, Nuroh Salma Annisa Salsabila, Auliya Saputra, Riska Oktaviani Selly Indah Astuti Septyani Juanda, Yurika Setiani, Tanty Shavira Handayani Putri Sheevie Tsaqifa Silvy Nabila Sonia, Dina Sopie Sophiah Sri Firdayanti Sri Haryati Sri Wahyuningsih Suganda Saefuloh Sukmawijaya, Jeri Sulastri, Imas Yeti Sulastri, Sania Sunarmi Supian Supriadi, Tasya Saldira Putri Suyanti Suyanti Syaikhul Wahab Syaikhul Wahab Tanty Setiani Tasya, Asfa Hani Taufik, Rizal Tika Nurfitriani Putri Tinika Yaumi Tsaniya Aini Yasifa Ulfah, Annisa Veranita, Mira Vina Octaviana Vini Novianti Wahdatunnisa Nurfadilah Warsiati , Wiwi WIDDI SUKMA RAMADHANI Widyani, Pipih Widyaningrum, Desy Winda Putri Indah Lestari Wulan Anggela Yaumi, Tinika Yuanita Alfa Oma Wele Yudha Mulya Andara Yuliani Yuliani Yunengsih, Yuyun Yuri Trioktafiani YUSUF, RAMAYANI Zilvia, Leziza