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Samponu, Yohakim Benedictus
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Computer Science & IT

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Analisis Sistem Informasi Strategis Pada Politeknik Negeri Manado Samponu, Yohakim Benedictus; Wauran, Alfrets Septy; Tampangela, Henry Ronald Karnia
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 3 No 1 (2017): POSITIF - Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v3i1.407

Abstract

Strategic Information System in Politeknik Negeri Manado is not currently optimal and caused author to do the analysis for this institution. As we know by using Information System (IS) / Information Technology (IT) strategy, the business process of a company / institution can be better optimized. The concept used to analyse the Strategic Information System at the Politeknik Negeri Manado in this research is Strategic Framework, where IS / IT strategy can be determined by analysing external factors (PEST), Strength and Weakness before determining the future strategies. After that the opportunities and threats (SWOT) are analysed until strategy implementation phase, it is expected that IS / IT strategies implemented can optimized the business process of this institution.
Sistem Pendukung Keputusan Pemilihan Makanan Untuk Diet Menggunakan Algoritma Naive Bayes Classifier Anam, Choirul; Maesaroh, Siti; Samponu, Yohakim Benedictus
POSITIF : Jurnal Sistem dan Teknologi Informasi Vol 4 No 1 (2018): POSITIF : Jurnal Sistem dan Teknologi Informasi
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/positif.v4i1.434

Abstract

Sebagian besar orang menginginkan memiliki berat badan yang ideal. Salah satu jalan yangditempuh adalah melakukan diet. Diet yang baik dengan mengatur takaran seimbang dari makananyang dikonsumsi. Yang rumit pada diet yaitu menghitung jumlah asupan makanan dan mengaturkomposisi kandungannya agar memenuhi takaran seimbang. Aplikasi komputer dengan algoritma datamining merupakan sebuah solusi yang dapat membantu mempermudah dalam menentukan kategorimakanan diet bagi seseorang. Dalam penelitian ini digunakan algoritma Naïve Bayes dan dibangunsebuah software untuk mengkalkulasi data training yang ada. Kata Kunci: diet, makanan, Naïve Bayes, software, klasifikasi Abstract Most people want to have the ideal weight. One way to go is to diet. A good diet by adjusting abalanced dose of food consumed. The complicated in the diet is to calculate the amount of food intakeand adjust the composition of the content to meet balanced doses. Computer applications with datamining algorithms is a solution that helps simplify the diet category for a person. In this study usedNaïve Bayes algorithm and built in a computer software to calculate existing training data. Keywords: diet, food, Naïve Bayes, software, classification
Co-Authors Choirul Anam AM Diponegoro Siti Maesaroh Tampangela, Henry Ronald Karnia Wauran, Alfrets Septy