To get good employees, a good selection process is needed. From the results of the interview, PT. Global Retailindo Pratama uses four criteria for the selection of new employees, education, intelligence, experience, and interviews. All prospective employees must take an exam to measure the criteria of education and intelligence and also have to send a photocopy of proof of their experience. The first stage selection is done to determine the prospective applicants who will take part in the interview. The second stage is conducted to determine the prospective employees who are accepted. The process of assessment and selection is still done by humans, so it takes a lot of time and energy. This problem can be solved by providing an information system for submitting applications and conducting examinations online. All documents are sent in digital form, also automaticlly checking answers from prospective employees. To select prospective employees, a method is needed that can recommend potential prospective employees based on specified criteria. The TOPSIS method is a decision support method that can provide recommendations in accordance with the criteria. The disadvantage of the TOPSIS method is that it requires weighting in the ranking process. The Analytical Hierarchy Process (AHP) method can be used to determine the criteria weight. Combining AHP and TOPSIS methods can produce more objective ranking results. Combining the AHP and TOPSIS methods can produce better recommendations.

Plagiarisme merupakan isu yang santer berkembang khususnya di Perguruan Tinggi. Perpustakaan di Fasilkom UPN “Veteran” Jawa Timur telah memiliki sistem pencatatan skripsi mahasiswa yang bernama E-Read, seringkali mahasiswa yang akan menempuh skripsi akan mencari ide topik dan literatur pada perpustakaan. Untuk meminimalkan kemungkinan terjadinya plagiasi maka sistem E-Read dilengkapi dengan fitur plagiarsm checker yang dibangun pada penelitian ini. Plagiarsm Checker dibuat melalui tahapan pengembangan terstruktur menggunakan metode Waterfall yang terdiri dari analisis kebutuhan, perancangan, implementasi, dan pengujian sistem. Algoritma Jaro Winkler dipilih untuk mendeteksi similaritas dokumen abstrak calon skripsi dengan abstrak-abstrak yang telah tersimpan pada basis data E-Read karena berdasarkan penelitian terdahulu dinyatakan memiliki akurasi yang baik dan waktu komputasi yang cepat. Berdasarkan pengujian terhadap akurasi sistem, maka didapatkan plagiarsm checker yang dibangun memiliki akurasi 40% jika dibandingkan dengan pendapat ahli, nilai presisi 33,3%, recall 100%, dan F-Measure 35%. Selain itu berdasarkan analisis terhadap proses komputasi algoritma Jaro Winkler maka didapatkan bahwa algoritma ini berfokus pada pencarian kesamaan karakter sesuai range uji yang ditentukan, hal ini berarti bahwa algoritma ini belum memiliki mekanisme pengecekan makna kata yang seharusnya diperlukan dalam sistem pengecekan plagiasi  dokumen.  Melalui penelitian ini, mahasiswa dapat melakukan pengecekan awal abstrak dari calon skripsinya untuk meminimalkan terjadinya plagiasi.

This paper discusses the design of academic service complaints system in STMIK STIKOM Indonesia. Currently, the evaluation of academic services at STMIK STIKOM Indonesia has been done periodically in the form of distributing questionnaires to the students before taking the final exam of Semester (UAS) in each semester. This evaluation is quite effective but this periodic evaluation can not yet accommodate the academic service complaints that occur in the everyday incident. In this paper has developed a system of web-based academic service complaints that can be accessed at any time by the academic community to provide feedback related to academic services at STMIK STIKOM Indonesia. In general, the system is capable of managing user data such as students, lecturers, institutions, and administrators. The system is able to make a complaint file to be sent to service provider units within the academic community, and the files sent will be accessed through the "outbreak" menu whereas in the complaint recipient account it can be accessed in the "incoming complaint" menu. To maintain the security of the complaints process on the system also facilitates the user to encrypt and decrypt the complaint file. Based on the tests that have been done the system developed able to facilitate students and academic community in general to conduct complaints of academic services and teaching and learning facilities at STMIK STIKOM Indonesia. Security of complaint data can be maintained well with the existence of encryption facilities and description and distribution of keys made directly to each user. From the test conducted by testing the functions expected in the system, obtained the results that the system is able to run in accordance with the expected.

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Komparasi metode penentuan bobot atau metode pembobotan ditujukan untuk mengetahui fungsionalitas metode dalam menghasilkan nilai bobot setiap kriteria, serta mengetahui hasil akhir perankingan berdasarkan nilai alternatif pada setiap kriteria. Bobot yang relatif dihasilkan sangat dipengaruhi oleh metode yang digunakan dalam menentukan bobot, karena itu pengambil keputusan diharuskan dapat menetapkan bobot setiap kriteria karena sangat penting dalam pengambilan keputusan. Untuk menghitung dan menentukan kriteria prioritas dapat menggunakan komparasi atau perbandingan dari beberapa metode untuk menentukan bobot parameter atau kriteria penilaian. Komparasi metode diimplementasikan pada kasus dengan 4 kriteria dan 10 alternatif. Pada penelitian ini menunjukkan bahwa perhitungan nilai bobot dengan teknik perbandingan berpasangan pada metode AHP dan urutan prioritas bobot pengganti dengan metode ROC dapat mempengaruhi urutan prioritas hasil akhir perankingan alternatif. Terdapat 3 perbedaan hasil perankingan alternatif dan 7 hasil perankingan alternatif yang sama dari komparasi metode AHP dan ROC. Perbedaan ini menunjukkan pengaruh teknik perhitungan nilai bobot serta nilai bobot yang dihasilkan.