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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Transformatika JURNAL ILMIAH INFORMATIKA SINTECH (Science and Information Technology) Journal JUTEKIN (Jurnal Manajemen Informatika) Jurnal Manajemen Informatika Jurnal Teknologi dan Informasi Antivirus : Jurnal Ilmiah Teknik Informatika Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Ilmiah Sains dan Teknologi (SAINTEK) JATI (Jurnal Mahasiswa Teknik Informatika) Competitive Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Jurnal Teknik Informatika (JUTIF) Merpati Jurnal Informatika Teknologi dan Sains (Jinteks) Data Sciences Indonesia (DSI) JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Competitive Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Rahayu, Woro Isti
Universitas Logistik Dan Bisnis Internasional
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Library & Information Science Physics Social Sciences Transportation Other

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Journal : JURNAL ILMIAH INFORMATIKA

 1 
IMPLEMENTASI ALGORITMA K-MEANS CLUSTERING TINGKAT KEPENTINGAN TAGIHAN RUMAH SAKIT DI PT PERTAMINA (PERSERO) ema ainun novia; Woro Isti Rahayu; Syafrial Fachri Pane
JURNAL ILMIAH INFORMATIKA Vol 8 No 01 (2020): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.059 KB) | DOI: 10.33884/jif.v8i01.1844

Abstract

Claims are claims that can be in the form of money, services or goods that are the obligations of another party to an entity. Problems that occur in this department do not yet have information about the bills to be paid based on their level of importance.Therefore this study aims to create a billing grouping system based on the level of importance in each hospital using a data mining algorithm with the K-means method. This method is considered appropriate because of group data based on the closest cluster center point with the data. Billing based on hospitals into 2 clusters namely urgent cluster (C1) and non-urgent cluster (C2).From the calculation of 104 data samples consisting of 4 hospitals, 14 data are in the "Urgent" cluster (C1), 90 data are in the "Not Urgent" cluster (C2). The results are then grouped again based on hospitals so that the grouping obtained at Pertamina Center hospitals cluster 1 there are 3 data and cluster 2 there are 2 data. Pertamina Jaya hospital for cluster 1, there is 1 data and in cluster 2 there are 44 data. In Pertamina Balikpapan hospital for cluster 1, there is 7 data and for cluster 2 there are 25 data. And at Pertamina Plaju hospital for cluster 1 there is 1 data and for cluster 2 there is 13 data.
ANALISIS DAN PERANCANGAN SISTEM TICKETING MANAGEMENT SERVICE OPERATION PADA PT TELKOM INDONESIA MENGGUNAKAN METODE WEIGHTED PRODUCT Annisa Cahyani; Woro Isti Rahayu
JURNAL ILMIAH INFORMATIKA Vol 8 No 02 (2020): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v8i02.1863

Abstract

Based on observations where is conducted at PT. Telkom Indonesia in the JABAR REGIONAL 3 Bandung office, especially in the MSO (Management Service Operation) division, is one of the divisions at PT. Telkom Indonesia, which has roles and responsibilities in the construction and maintenance of networks and others. However, the current implementation of the MSO (Management Service Operation) division still has constraints, where the constraints experienced lead to the handling of disturbances which are sometimes less than optimal. The less-than-maximum service in question is the handling of ticketing complaints of disturbances experienced by users or users who are waiting to do the ticket request assignment by the back end (specialist) so that the problem is immediately handled and resolved. Another problem experienced is if there are several reports of complaints of interference PT. Telkom Indonesia is experiencing problems on the network that are not handled quickly, because it is difficult to determine the priority handling of interference complaint tickets. So to overcome these problems, an application of the ticketing management service operation system is used to determine the priority of the handling of the noise ticketing response to disturbance using the weighted product method. Based on the available alternatives will be processed in accordance with the weight of the criteria to obtain the final results and ranking, from the results of the ranking can be known interference complaints which should be prioritized based on the calculation results.
SISTEM APLIKASI DATA PEGAWAI PENSIUN MENGGUNAKAN METODE K-MEANS Seta Permana; Woro Isti Rahayu
JURNAL ILMIAH INFORMATIKA Vol 8 No 02 (2020): Jurnal Ilmiah Informatika (JIF)
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v8i02.1883

Abstract

Division or work unit of Human Resources (HR) in PT. Kawasan Berikat Nusantara (PT. KBN) (Persero) has job desks including finding and accepting new employees at PT. KBN, handles the process of receiving employee salaries, handles employee data management including employee retirement data. The problem with managing employee pension data is that there is no system that can handle this. So this research aims to be able to help in making a system that fits the needs for managing retirement employee data. By determining the pension application for employees at the age of 51-53 years with an existing position at PT. KBN, namely, head of division, section head, section head, and executive. In determining this, the Clustering method will be used, namely K-means. This method is considered appropriate because it can group data based on the Cluster 's closest center point with the data. Classification of employees based on age and position into 2 groups, namely the submission of pensions at the age of 51 years filing a pension submission of retirement at the age of 53. From the results that have been calculated from 56 data of employees aged 51-53 years resulted in 21 employees being submitted in retirement age 51 years, 35 employees in filing retirement 53 years.
Co-Authors Annisa Cahyani ARISTAWIDYA, MUHAMMAD VITO Ariwati Hanek, Melvin Aulyardha Anindita Awalina, Eriskiannisa Febrianty Luchia Aznur Syahfajar, Laode Muhammad Damayanti, Fanny Shafira Dwi Prasetyo Nugroho, Ilham ema ainun novia Eni Lestari Farhan Maulana Febrisa Sidabutar, Audry Firwanda, Arjun Yuda Gideon Manik, Teddy Habibi, Roni Haekal Hilmi Zain* Hanum, Nisa Harani, Nisa Hanum Helmi Setywan, Muhammad Yusril Hidayatullah, Muhammad Reefy Hilmi Zain*, Haekal Ichsan Hizman Hardy Kaka Kamaludin Kishendrian, Hanan Laode Muhammad Aznur Syahfajar M. Yusril Helmi Setyawan Maresti, Fata Amalia Maresti, Fatia Amalia Maria Bernadina Cintany Lustin Maulana Awannga, Rolly Mohamad Nurkamal Fauzan Muhammad Vito Aristawidya Mustaqim, Kiki Mustaqimr, Kiki Ningrumsari Mulyanan, Ikrima Nisa Hanum Harani Nisa Hanum Harani Nur Raisa Nurul Izza Hamka Prianto, Cahyo Rakasona Rifqi Fathurrohman Riza, Noviana Rolly Maulana Awannga Santoso Seta Permana Siti Fathonah, Rd Nuraini Siti Fathonah, Rd. Nuraini Situmorang, Ryan Sujana, Ahmad Mugiar Sujana Syafrial Fachri Pane Syahfajar, Laode Muhammad Aznur Thiodas Heni Pakpahan Ulfiani Ramadhani, Firna Wardana, Aulia Yusril Helmi Setyawan, Muhammad Yusuf