<p><em>Website</em> Alumni STIKOM Bali pada domain http://alumni.stikom-bali.ac.id adalah media informasi <em>online </em>yang dipergunakan untuk memberikan informasi kepada alumni STIKOM Bali. Selama ini terdapat keluhan tentang dokumentasi , informasi pada <em>website</em> alumni yang belum diperbarui. Oleh karena itu, dibutuhkan evaluasi <em>kualitas </em>untuk mengetahui permasalahan yang ada pada sistem dan supaya mencapai tujuan tertentu secara efektif, efisien, dan mencapai kepuasan <em>pengguna. </em> Berdasarkan permasalahan tersebut, maka diangkatlah penelitian dengan judul Analisis Kualitas <em>Website </em>Alumni STIKOM Bali Menggunakan Metode <em>Webqual</em>. Dalam penelitian ini mempergunakan metode <em>Webqual untuk mengukur kualitas informasi dan kualitas interaksi</em>. Penelitian dimulai dengan melakukan pengumpulan data, pengujian <em>website</em>, dan analisis. Hasil dari data keluaran untuk mengetahui masalah <em>kualitas </em>yang ada dan menjadi acuan untuk perbaikan selanjutnya. Pada evaluasi <em>kualitas informasi dan kualitas interaaksi </em>terdapat permasalahan masalah <em>kualitas. </em>Dari permasalahan yang ditemukan maka dibuatkan quizioner untuk mengetahui kualitas informasi dan kualitas interaksi berdasarkan permasalahan yang ditemukan. Sebelum quizioner ini disebarkan maka sebelumnya akan dilakukan pengujian validitas dan reliabilitas menggunakan bantuan software SPSS. Jika quizioner tersebut telah <em>valid</em> dan <em>reliable</em> maka selanjutnya dapat dilakukan penyebaran quizioner dan kemudian dilakukan evaluasi. Dari penyebaran quizioner ke beberapa mahasiswa didapatkan hasil terdapat 3 indikator yang ditolak sehingga perlu dilakukan perbaikan. Ketiga indikator yang perlu dilakukan perbaikan yaitu informasi yang diberikan sulit dimengerti, reputasi baik, dan rasa komunitas.</p><p> </p><p>Abstract</p><p><em>STIKOM Bali Alumni Website at http://alumni.stikom-bali.ac.id domain is online information media which is used to give information to alumni STIKOM Bali. So far there have been complaints about the documentation, information on alumni websites that have not been updated. Therefore, quality evaluation is needed to know the problems that exist in the system and in order to achieve certain goals effectively, efficiently, and achieve user satisfaction. Based on these problems, then the research was published under the title Analysis Quality Alumni STIKOM Bali Website Using Webqual. In this research using Webqual method to measure quality of information and quality of interaction. Research begins with data collection, website testing, and analysis. Results from the output data to find out the quality problems that exist and become a reference for further improvement. In evaluating the quality of information and quality interaaksi there are problems of quality problems. From the problems found then made a quizioner to know the quality of information and the quality of interaction based on the problems found. Before this quizioner is distributed then the validity and reliability test will be done using SPSS software. If the quizioner is valid and reliable then the quizioner will be distributed and then evaluated. From the dissemination of questionnaires to several students, there are 3 indicators that are rejected, so it needs to be improved. The three indicators that need to be improved namely the information provided is difficult to understand, good reputation, and sense of community.</em></p>
Good delivery route determination is required to make savings, both in terms of time, mileage and cost. To determine good delivery route, this study implemented the pathfinding method. The program is created in two forms, the first form is using Iterative Deepening Search while the second form is using Karp Held. Sampel data used in this study is addresses of each place that frequently visited in product shipping. In addition, data of mileage, time and cost required on each trip also included. Data tes that used in this study are some addresses or locations that might be visited on product shipping. Data tests are tested on Held-Karp program and also on Iterative Deepening Search. From the experiments, the result show that Held-Karp method can determine better delivery route compared to Iterative Deepening Search. Total difference of Iterative Deepening Search and Held-Karp methods based on distance is 11,35 km, based on time is 27 minutes, and based on cost is 12,051 IDR. Overall, the difference of both methods is 19,66%.Keywords: Held-Karp, Iterative Deepening Search, Visual Basic, Pathfinding, SQL AbstrakPada pesanan dalam jumlah banyak, penentuan rute pengiriman yang baik diperlukan untuk penghematan, baik dari segi waktu, jarak tempuh dan juga biaya. Untuk menentukan rute pengiriman yang baik, pada penelitian akan dilakukan implementasi penentuan jalur terpendek. Program dibuat dalam 2 form, form pertama diimplementasikan menggunakan metode Iterative Deepening Search dan form kedua menggunakan Held-Karp. Data sampel berupa alamat tiap tempat yang sering dikunjungi dalam pengiriman produk dan data tes adalah beberapa alamat yang mungkin akan dikunjungi. Dari ujicoba yang dilakukan didapatkan hasil bahwa metode Held-Karp dapat menentukan rute pengiriman yang lebih baik dibandingkan dengan metode Iterative Deepening Search. Rata-rata selisih dari kedua metode berdasarkan jarak adalah sebesar 11,35 km, berdasarkan waktu sebesar 27 menit, dan berdasarkan biaya sebesar Rp. 12,051. Selisih secara keseluruhan dari kedua metode tersebut adalah sebesar 19,66%.
Guitar Shop is a musical instrument shop that sells guitars, in preparing the stock of goods, the Guitar Shop is still carried out manually without counting salable items in the previous period which were issued excess and lack of stock in the warehouse. This can benefit and hinder profits for the company. Therefore we need a forecasting system that is expected to help companies in determining the amount of inventory to be purchased. The forecasting method used is the Exponential Smoothing Method with alpha = 0.8 and the standard error Mean Absolute Deviation (MAD). From the trial results, this system is able to predict the stock of various types of goods and get a standard error above 50%. With the standard value of this error can be simplified the system is feasible and can be applied.
Many people consume drugs to maintain health, prevent disease or cure. These types of drugs have been defined both nationally and internationally, generally these types of drugs written in the form of logo on the packaging of drugs. There are so many types of medications that have been approved by the government and has been circulating in the community, in this study I use 4 different types of modern medicine and three kinds of herbal medicine, in total there will be as many as 7 different logo that will be used. In this research, will be created an application that can identify the type of drugs based logos contained on the packaging. To identify them, can be done by taking pictures logo on the packaging of the drug. Then the image is stored and then processed by an application that has been made, the application will provide information such as the type of drug. Application will be made using MATLAB and the methods used for image classification is Naive Bayes. Keywords: Medicine Logo, Image Processing, Edge detection, GLCM, Nave Bayes AbstrakBanyak masyarakat yang sering mengkonsumsi obat untuk menjaga kesehatan, mencegah penyakit maupun menyembuhkan sakit. Jenis obat sudah ditetapkan baik secara nasional maupun international, umumnya jenis obat ini dituliskan berupa logo pada kemasan obat. Terdapat sangat banyak jenis obat yang telah disetujui oleh pemerintah dan telah beredar di masyarakat, pada penelitian ini saya menggunakan 4 jenis obat modern dan 3 jenis obat herbal, total akan terdapat sebanyak 7 macam logo yang akan digunakan. Dalam penelitian ini saya ingin membuat suatu aplikasi yang dapat mengindentifikasi jenis obat berdasarkan logo yang terdapat pada kemasan. Untuk mengidentifikasinya, dapat dilakukan dengan cara memfoto logo pada kemasan obat. Kemudian gambar disimpan dan kemudian diproses oleh aplikasi yang telah dibuat, aplikasi akan memberikan informasi berupa jenis obat. Aplikasi akan dibuat menggunakan MATLAB dan metode yang digunakan untuk klasifikasi gambar adalah Naive Bayes.
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