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All Journal IJISTECH (International Journal Of Information System & Technology) IJISTECH Journal of Computer Science and Informatics Engineering
Fitri Handayani Siregar
Universitas Islam Negeri Sumatera Utara
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Social Sciences

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Perancangan Sistem Informasi Surat Perintah Perjalanan Dinas Berbasis Website di BPKH I Medan Bela Sapitri; Alviona Marsya; Fitri Handayani Siregar
Journal of Computer Science and Informatics Engineering (CoSIE) Vol. 1 No. 2 (2022): April
Publisher : AIRA (Ali Institute of Research and Publication)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (794.09 KB) | DOI: 10.55537/cosie.v1i2.58

Abstract

Balai Pemantapan Kawasan Hutan Wilayah I Medan merupakan salah satu unit organisasi pemerintah pada Kementerian Lingkungan Hidup dan Kehutanan. Dimana pimpinan serta para pegawai di BPKH I Medan sering melakukan perjalanan dinas antar kota maupun diluar kota. Pembuatan surat perintah perjalanan dinas (SPPD) di BPKH I Medan masih dilakukan secara sederhana dengan pencatatan manual dan belum menggunakan aplikasi khusus. Hal ini mengakibatkan kurang efektif dan efisien, baik dari segi materi maupun waktu, terjadi kehilangan data perjalanan dinas karena proses dan tata cara penyimpanan data yang tidak baik serta membutuhkan waktu lama jika kepala dinas membutuhkan laporan perjalanan dinas dalam waktu satu tahun maka harus membuka kembali berkas-berkas yang sudah tersimpan. Oleh karena itu, diperlukan perangkat lunak untuk menangani masalah tersebut. Sistem yang diusulkan yaitu Perancangan Sistem Informasi Surat Perintah Perjalanan Dinas  Berbasis Website yang di bangun dengan menerapkan metode Unified Modelling Language (UML). Dengan adanya Perancangan Sistem Informasi SPPD Berbasis Website ini maka akan mempermudah pegawai dalam pembuatan SPPD yang efektif, efisien, akurat, dan hemat waktu serta akan menjaga keamanan berkas SPPD yang mana berkas tersebut tersimpan dalam database khusus
Implementation of Naïve Bayes Method in Classification of Nutritional Status of Toddlers at Pasar Ujungbatu Sosa Public Health Center Heri Santoso; A Armansyah; Fitri Handayani Siregar
IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i3.254

Abstract

Health is a very important field in human life, there have been many studies or studies conducted in the health sector, for example nutrition problems. Nutrients are needed by humans to live healthy in order to be able to move and carry out daily activities. For the fulfillment of nutrition in toddlers is usually influenced by social and economic factors of the family. Toddlers' bodies need balanced nutrition to be able to grow and develop properly. The results of the SSGI in 2021 the stunting rate nationally decreased by 1.6% per year from 27.7% in 2019 to 24.4% in 2021. The data used in this study was 1114 toddler data. From the results of training and data testing consisting of 5 attributes, namely gender, age, weight, height, and upper arm circumference and there are 4 classes for class division, namely over nutrition, good nutrition, less nutrition and poor nutrition. And it is known that the accuracy by using 10 data samples gets an accuracy value of 80%. Thus, the system built using the Naive Bayes method is considered successful in classifying the nutritional status of children under five
Implementation of Naïve Bayes Method in Classification of Nutritional Status of Toddlers at Pasar Ujungbatu Sosa Public Health Center Heri Santoso; A Armansyah; Fitri Handayani Siregar
IJISTECH (International Journal of Information System and Technology) Vol 6, No 3 (2022): October
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i3.254

Abstract

Health is a very important field in human life, there have been many studies or studies conducted in the health sector, for example nutrition problems. Nutrients are needed by humans to live healthy in order to be able to move and carry out daily activities. For the fulfillment of nutrition in toddlers is usually influenced by social and economic factors of the family. Toddlers' bodies need balanced nutrition to be able to grow and develop properly. The results of the SSGI in 2021 the stunting rate nationally decreased by 1.6% per year from 27.7% in 2019 to 24.4% in 2021. The data used in this study was 1114 toddler data. From the results of training and data testing consisting of 5 attributes, namely gender, age, weight, height, and upper arm circumference and there are 4 classes for class division, namely over nutrition, good nutrition, less nutrition and poor nutrition. And it is known that the accuracy by using 10 data samples gets an accuracy value of 80%. Thus, the system built using the Naive Bayes method is considered successful in classifying the nutritional status of children under five
Co-Authors Alviona Marsya Armansyah Armansyah Bela Sapitri Heri Santoso