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All Journal JURNAL SISTEM INFORMASI BISNIS Jupiter Jurnal Sistem dan Informatika SMATIKA Jurnal Ilmiah KOMPUTASI Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) JPM (Jurnal Pemberdayaan Masyarakat) JurTI (JURNAL TEKNOLOGI INFORMASI) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Informatika : Jurnal Informatika, Manajemen dan Komputer Informasi Interaktif Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Informatika dan Sistem Informasi Jurnal E-Komtek JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Innovation Information Technology and Application (JINITA) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurnal Teknologi Informatika dan Komputer Indonesian Journal of Applied Research (IJAR) Jurnal AbdiMas Nusa Mandiri RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI KLIK: Kajian Ilmiah Informatika dan Komputer Rengganis Jurnal Pengabdian Masyarakat Melek IT: Information Technology Journal Jurnal Global Ilmiah Jurnal Teknik Elektro dan Komputer
Nurahman
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Other

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Journal : Journal of Innovation Information Technology and Application (JINITA)

 1 
Implementasi Data Mining Untuk Memprediksi Penyakit Jantung Mengunakan Metode Naive Bayes Ade Riani; Yessy Susianto; Nur Rahman
Journal of Innovation Information Technology and Application (JINITA) Vol 1 No 1 (2019): JINITA, December 2019
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (109.872 KB) | DOI: 10.35970/jinita.v1i1.64

Abstract

Heart disease is a disease with a high mortality rate in the world of health. The disease is usually rarely realized the cause. However, there are several parameters that can be used to predict whether a person has a risk of heart disease or not. As for this study, researchers will use several indicators including Age, Sex, Chest pain type, Trestbps, Cholesterol, Fasting blood sugar, Resting ECG, Max heart rate, Exercise-induced angina, Oldpeak, Slope, Number of vessels coloured, and Thal This research will perform calculations using the Data Mining method with the Naive Bayes Algorithm. The results of this study get an accuracy of 86% for the 303 datasets tested.
Sistem Pendukung Keputusan Kelayakan Penerima Program Keluarga Harapan (PKH) Menggunakan Metode TOPSIS dan Metode WP Ade Riani; Nurahman
Journal of Innovation Information Technology and Application (JINITA) Vol 2 No 2 (2020): JINITA, December 2020
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (948.67 KB) | DOI: 10.35970/jinita.v2i2.331

Abstract

Program Keluarga Harapan (PKH) is a program from the Indonesian government in the form of providing conditional social assistance to families or poor people who are registered in the integrated data for the poor handling program. As for recipients of assistance can be assessed from several criteria including building area, type of floor, type of wall, defecation facility, source of drinking water, source of lighting, type of fuel for cooking, frequency of buying meat and chicken in a week, frequency of eating in a day , The number of sets of new clothes purchased in a year, access to health centers, access to employment, the latest education of household heads and ownership of several assets. In this study will build a decision support system with calculations using the Technique For Orders Reference by Similarity to Ideal Solution Method (TOPSIS) and Weighted Product Method (WP). Then the final results of this study can be used as an alternative priority for the government in sorting based on the calculation results of the criteria of each family or PKH beneficiar
Decision Support System for Selecting Exemplary Students with Simple Additive Weighting Method Nurahman Nurahman; Minarni Minarni; Nindi Ernawati Nindi Ernawati; Nadia Sari Nadia Sari
Journal of Innovation Information Technology and Application (JINITA) Vol 5 No 1 (2023): JINITA, June 2023
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v5i1.1755

Abstract

The selection of exemplary students carried out by the school is expected to trigger the enthusiasm of students to be able to develop their interests, talents, and abilities in the academic and non-academic fields. However, decision-making has not been measured with data so a decision support system is needed. With the use of this method, it is hoped that it can make it easier and minimize the occurrence of errors in making decent decisions therefore this system is needed to be able to make good decisions. In this study, one of the decision support system methods that are often used was chosen, namely Simple Additive Weighting (SAW). The use of the SAW method is due to its uncomplicated calculations. Research conducted at this school in determining decisions is still done manually so it is less effective and efficient. Therefore, this decision support system must be able to calculate exemplary students to be more effective and efficient. This system displays the final results of the ranking of exemplary students using the SAW method. From the overall results of the research that has been carried out, the calculation results that got rank 1 were obtained, namely Kenzo Ecclesio Taha with a total score of 0.9025. From the results of the study, it can be concluded that the results meet the criteria, so this study can be considered in calculations to determine exemplary students in the future
Co-Authors Abdul Aziz Achmad Suprianur Ade Riani Ade Riani Agung Purwanto Agung Purwanto Ahmad fahrudin Ansari Aida Puspita Sari Anang Kukuh Adisusilo Andry Wardana Andy Ismail Aziz Maulana Bambang Priambodo Boby Yudistira Depi Rusda Diana Dwi Aulia Dwi Tjahjo Seabtian Dwi Wahyu Prabowo Dwi Wahyu Prabowo Dwi Wahyu Prabowo Eddy Mashamy Edo Tio Gunawan ella ayu lestari Faishal Umar Faruq Fujianto Fujianto Hazanisya Priliani Hutrim Heri Abijono Ibnu Ramadhan ica warisa Imam Hanafi Rahman Indah Ayu Wijayanti Istanta Jetri Susanto julhaidi, akhmad Karina Indah Deswanti Lukman Bachtiar M Syahrifudin Minarni Minarni Mohammad Mastur Alfitri Muhammad Mastur Alfitri Nadia Sari Nadia Sari Nindi Ernawati Nindi Ernawati Noprida Arianto Nor Istiqamah Norman Norman Nur Hidayat Nur Hidayat Nurani Aisiyah Tanjung Poppy Sulistiawaty Prasetyaningrum, Eka Prihandoko . Putri, Shinta Ragil Kurniawan Ragil Kurniawan Rani Ayu Sampita Sari Rismadina Puspa Rosida Rosida Safitri, Diah Atika Setiawan Shinta Putri Sigit Mulyanto Siti - aminah stepani Sumanti, Rika Thea Kirana, Elika warisa warisa Wenti Utari winda pertiwi Winda Pertiwi Wira Pradana Yessy Susianto Yuli Purwanto, Yuli Yuliyanti Yunita, Selviana