Peran sales dalam sebuah perusahaan yaitu seseorang yang bertugas untuk melakukan tugas menawarkan, mendistribusikan dan mencari pesanan pelanggan yang berupa produk, termasuk juga mengumpulkan informasi tertentu dari para konsumen. Sehingga tugas sales ini sangat penting dalam pendapatan sebuah perusahaan. Dengan membuat apresiasi setiap bulan berupa tunjangan bonus setiap bulan yang hanya diberikan kepada sales terbaik, maka akan memberikan semangat para sales dalam melakukan promosi dan penjualan terhadap produk pada perusahaan tersebut. Dalam memberikan apresiasi diperlukan sebuah sistem pendukung keputusan untuk merangkingkan sales terbaik yang akan dipilih. Penelitian ini menggunakan metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity (TOPSIS). Metode ini dirasa mampu untuk merekomendasikan sales terbaik setiap bulannya pada suatu perusahaan. Hasil dari penelitian ini berupa rangking dan selanjutnya akan dibuat rekomendasi untuk sales terbaik yang akan dipilih. Hasil yang didapat pada penelitian menggunakan metode SAW TOPSIS yaitu alternatif C11 terpilih sebagai sales terbaik dengan nilai 0,650 sehingga menjadikan Afandi sales terbaik.

The concept that an important information cannot be known by parties who don’t  have rights can be done by making the confidentiality of data using cryptography. Safety in vigenere ciphers depends on the number of keys used, the more the number of keys, the wider the key space. While caesar cipher or often also called caesar code is a classic coding system based on simple substitution. This study uses a combination of Vigenere Cipher and Caesar Cipher algorithms so that the security of the contents of the message is protected stronger and safer so that if the message sent is tapped by someone who is not responsible then the hijacker has difficulty knowing contents of the message. So that the confidentiality and authenticity of message is up to the recipient In this study successfully implemented both methods and has an output in the form of a reading symbol, not letters.

<p class="Abstrak">Bagi PT. Eratel Prima, <em>canvasser</em> merupakan ujung tombak dalam suatu perusahaan yang bergerak pada bidang pendistribusian produk indosat. Perusahaan ini mengandalkan modal dari Indosat sehingga penilaian <em>Key Performance Indicator </em>sangat penting untuk perusahaan ini. <em>Canvasser</em> sangatlah berpengaruh pada penilaian KPI ini. Sebagai ujung tombak perusahaan, tentu sangat penting untuk memelihara konsistensi dari kinerja <em>canvasser</em>. Untuk memberikan semangat pada <em>canvasser</em>, maka perusahaan memberikan apresiasi berupa bonus setiap bulan bagi canvasser yang memiliki kinerja terbaik. Dalam proses penilaian <em>canvasser</em> terbaik dilakukan oleh <em>Head of Marketing</em>. Namun, proses penilaian masih dilakukan secara penilaian masih subjektif dan tidak relevan dengan situasi aktual. Selain itu, proses penilaian masih manual sehingga membutuhkan waktu lama untuk melakukan pengolahan data. Hal inilah yang menjadi latar belakang untuk membuat sebuah sistem guna memilih <em>canvasser</em> terbaik Metode pengambilan keputusan yang digunakan adalah metode Simple Additive Weighting (SAW). Metode ini digunakan untuk menentukan nilai pembobotan setiap kriteria, yang kemudian dilakukan proses peringkat untuk menentukan alternatif terbaik dari sejumlah alternatif. Hasil perhitungan akhir dari sistem dan hasil perhitungan manual menunjukkan hasil yang sama dengan menggunakan 10 <em>canvasser</em> yang dinilai, dan <em>canvasser </em>mendapat nilai tertinggi yaitu Eko dengan nilai 18.6667 yang terpilih untuk menjadi <em>canvasser </em>terbaik.</p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Abstract"><em>For PT. Eratel Prima, Canvasser is a company’s spearhead for indosat product distribution. Indosat as the investor of this company require a good evaluation of Key Performance Indicator (KPI). Canvasser’s role is very influential for KPI score. As a company’s spearhead, it is very important to maintenance the consistency of canvasser performance. To encourage their spirit, the company give a monthly reward in the form of bonuses for a canvasser with the best performance. The assessment process done by the Head of Marketing. But this assessment process done with manual method and for data process require more time.  In addition, the assessment is still subjective and not relevant with actual situation. Based on this problem, it needed a system to select the best canvasser. The used method for decision support system is Simple Additive Weighting (SAW).  This method used to determine the weighting value of each criterion, and then carried out a ranking process to determine the best alternative from a number of alternatives. The result of this research are the ranking and further recommendation for the best canvasser.</em></p><p class="Abstrak"><em><strong><br /></strong></em></p>

Social media has impact for decision maker to get more insights broadly. Including for online travel agent company, where costumer’s interest to use online travel agent for their chosen agent will grows along with the high number of customer’s satisfaction. As a one of the most important point in distribution, company provides a platform that reliable and effective to purchase a trip and share information of their experience through Online travel agent. It is important to know how consumer considerate which one the online travel agent they choose. One of their method is looking at the reviews. Facebook is one of social media that provide numerous reviews through comments sections. The research purposes are twofold, algorithm comparison and reveal the effect of uppercase as well as punctuation mark. The accuracy comparison between Naïve Bayes and K-Nearest Neighbor is provided against the datasets. This research collects the data from user comments on Facebook about the biggest three online travel agents in Indonesia. We classify the comments into three categories which are positive, negative, and neutral. The result of this research is found that K-Nearest Neighbor have slightly higher accuracy than the Naïve Bayes. Moreover, lowercase text without punctuation achieves better accuracy for both of algorithm.

Taletan Ijo is an online shop that sells fruit seeds. In carrying out its business processes, he utilizes a sales information system. The system is used to manage sales data. If the data is not used, it will lead to accumulation of data but lack of information. Taletan ijo uses the manual method in its product marketing strategy so that the strategy used is not quite right. Stored sales transaction data can be used as a reference in making marketing strategies such as making product sales packages. This study uses data mining methods, namely associations with a priori algorithms to process transaction data into information that can help support decisions in determining marketing strategies. The results of the study show that the lift ratio test results obtained are 3.2 which indicates that the value is valid with a minimum number of transactions of 10 and a confidence value of 80.