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All Journal Faktor Exacta Jurnal SOLMA Formatif: Jurnal Ilmiah Pendidikan MIPA JABE (Journal of Applied Business and Economic) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Rekayasa Komputasi Terapan
Septian Wulandari
Universitas Indraprasta PGRI
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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Aplikasi Penerimaan Karyawan Dengan Menggunakan Metode AHP Di SMK YAK 1 Bogor Febry Vallent Nugraha; Budi Santoso; Septian Wulandari
JRKT (Jurnal Rekayasa Komputasi Terapan) Vol 1, No 01 (2021)
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.573 KB) | DOI: 10.30998/jrkt.v1i01.4008

Abstract

Tujuan penelitian ini adalah untuk membuat sistem penerimaan karyawan dan pengolahan data yang efektif bagi SMK Yayasan Al Akhyar Kalimurni. Aplikasi ini membantu perusahaan dalam proses penerimaan karyawan dan pengolahan data report nya tidak hanya berguna sebagai report berjangka, report tersebut juga dapat menjadi bahan pertimbangan pengambilan keputusan kedepannya. Aplikasi ini mempunyai sistem peniliaian otomatis, dimana karyawan yang kriteria nya sesuai dengan yang di harapkan, maka mendapatkan nilai yang lebih bagus. Metode yang digunakan penulis dalam melakukan pengembangan aplikasi adalah metode Analythical Hierarchy Process, yang membantu memecahkan persoalan yang kompleks dengan menstrukturkan suatu hirarki kriteria, pihak yang berkepentingan, hasil, dan dengan menarik berbagai pertimbangan gua mengembangkan bobot. Kata Kunci : Penerimaan Karyawan, Sekolah, AHP, Netbeans
Clustering Indonesian Provinces on Prevalence of Stunting Toddlers Using Agglomerative Hierarchical Clustering Septian Wulandari
Faktor Exacta Vol 16, No 2 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i2.17186

Abstract

Stunting is a chronic nutritional problem caused by a lack of nutritional intake in toddlers. Indonesia is the 5th country with the highest cases of toddler nutrition experiencing stunting at 30.8% in 2018. The current problem, in Indonesia, is providing complete immunization and fulfilling child nutrition in each province is still low. Data obtained from 2018 to 2022 still toddlers who are malnourished and obese and there is no province grouping based on characteristics such as malnutrition, obesity, short toddlers, and complete basic immunization. Clustering is grouping objects into a group so that one cluster contains objects that are similar and different from other objects in other clusters. The agglomerative hierarchical clustering method can classify provinces based on the characteristics that cause stunting so that it can be used as a basis for early prevention for the Indonesian government to tackle stunting and can reduce stunting growth rates which continue to increase and can experience a decline. The agglomerative hierarchical clustering method used is the Average Linkage and Ward's algorithms with the data used is the prevalence of stunting taken in 34 provinces in Indonesia with 11 data attributes. The results of this study are that there are two clusters, namely Cluster 1 which has a relatively high prevalence of stunting with members of 13 provinces, and Cluster 2 which has a relatively low prevalence of stunting with members of 21 provinces. The highest cophenetic correlation value is in Ward's algorithm with a value of 0.8399978. So, it can be said that Ward's algorithm is better than the Average Linkage algorithm in clustering provinces in Indonesia on the prevalence of stunting toddlers.
Co-Authors Andi Prastomo Bickri Khidam Assyamsi Budi Santoso Dian Novita Febry Vallent Nugraha Ismoyo Bayu Aji Mercy Hermawati Millati Izzatillah Noni Selvia Nurfidah Dwitiyanti