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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Sisforma: Journal of Information Systems Computatio : Journal of Computer Science and Information Systems Petir J-SAKTI (Jurnal Sains Komputer dan Informatika) Kilat KOMPUTEK J-Dinamika: Jurnal Pengabdian Kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika Abdi Dosen : Jurnal Pengabdian Pada Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika)
Rakhmat Arianto
Politeknik Negeri Malang
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Library & Information Science Mechanical Engineering Public Health Social Sciences

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Journal : Petir

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Penerapan Metode K-Means Dan C4.5 Untuk Prediksi Penderita Diabetes Andika Prasatya; Riki Ruli A. Siregar; Rakhmat Arianto
PETIR Vol 13 No 1 (2020): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (690.478 KB) | DOI: 10.33322/petir.v13i1.925

Abstract

The purpose of this study is to predict HbA1c in diabetics. The obstacles behind the prediction of HbA1c is the limitations in the laboratory to provide services for diabetics regarding HbA1 check-up. HbA1c prediction is made by a combination of K-Means and C4.5 methods. K-Means is used to classify continuous data. From the results of the K-Means classification will be used by C4.5 to create a rule (decision tree). The prediction results obtained will be carried out as a validation process to determine the level of accuracy by using K-Fold Cross-Validation. The accuracy value obtained is 72%. The resulting benefit from the prediction of HbA1c can be used as an alternative solution to overcome limitations in the laboratory in terms of HbA1c check-up servicing and the results of HbA1c prediction can also be used as a recommendation by doctor in determining the medical decision for diabetics.
Implementasi Aplikasi E-Reporting Infrastructure (ERI) Sebagai Media Monitoring Pengaduan Kerusakan Fasilitas Kampus Usman Nurhasan; Rakhmat Arianto; Candra Bella Vista; Embriani Dewi Lestari; Mita Kartina Sari
PETIR Vol 15 No 1 (2022): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/petir.v15i1.1532

Abstract

The quality of educational facilities and infrastructure is a measure of the success of the teaching and learning process. Over time, these facilities and infrastructure will suffer damage and their quality will decline. Reports of damage to facilities and infrastructure are always made verbally. Another issue that arises is that Sarpras officers have not seen photographic evidence of the reported condition of the infrastructure. This problem can make it difficult for Sarpras agents to identify infrastructure. The reporting party often does not obtain information about the status of the response from the report. This issue is caused by the fact that no media can be used by the reporter to know the status of the reporting of user complaints. To minimize the reporting of damage errors, an information system can be applied. The application that can be applied in the problem of reporting damage to campus infrastructure is E-Reporting Infrastructure (ERI). This application aims to provide access for registrants and stakeholders to monitor each other's damage reports so that the priority scale for processing recommendations is immediately determined. The recommendations must be able to adapt to the variables which are the needs and priorities of management. The process of determining recommendations will be more stable if it is processed by an algorithm integrated into the ERI. The algorithm that will be applied is a practical and multi-criteria ranking algorithm, including Topsis and SAW. The computation results obtained will be compared in order to determine the efficiency and characteristics of the algorithm.
Co-Authors Abdurrasyid, Abdurrasyid Ahmad Saikhu Alwy Abdullah Ananta, Ahmadi Yuli Andika Prasatya Atiqah Nurul Asri Baskoro Singgih Anindito Budiarti, Arry Candra Bella Vista Daniel Oranova Siahaan Dika Rizky Yunianto Edi Abdurachman Efy Yosrita Eka Larasati Amalia Embriani Dewi Lestari Erfan Rohadi Fera Amelia Sinaga Fera Amelia Sinaga, Fera Amelia Ford Lumban Gaol Hapsari, Ratih Indri Hasyimiyyah, Nisrina Hendra Pradibta Imam Fahrur Rozi Indrianto Indrianto Irawan, Ferry Buyung Bakhtiar Irsyad Arif Mashudi Kurnia, Alwan Ghozi Mamluatul Hani’ah Maulidia, Irma Meilia Nur Indah Susanti, Meilia Nur Mita Kartina Sari Nur Haryadi Nurindrasari, Diana Odhitya Desta Triswidrananta Rahmanto, Anugrah Nur Riatma, Galih Putra Riki Ruli A. Siregar, Riki Ruli A. Rokhimatul Wakhidah Rosa Andrie Asmara Rudy Ariyanto Saputra, Zainal Ulu Prima Sholiha, Afifah Usman Nurhasan Vivin Ayu Lestari Warnars, Harco Leslie Hendric Spits Widito, Sasmojo Yaya Heryadi Yuni Kurnia Taramita Zakaria, Arief Syukron Zuhdiyyah Ulfah Siregar