Abstrak Penelitian ini difokuskan untuk mengevaluasi kinerja akademik mahasiswa STMIK Dipanegara Makassar pada dua tahun pertama dengan menggunakan teknik data mining algoritma Naive Bayes Classifier (NBC) untuk membentuk tabel probabilitas sebagai dasar proses klasifikasi kinerja akademik mahasiswa yang kelulusannya akan diklasifikasikan dan memberikan rekomendasi untuk proses kelulusan tepat waktu yang paling tepat dengan nilai optimal berdasarkan histori nilai yang telah ditempuh mahasiswa. Sampel nilai yang digunakan untuk data latih dan testing adalah nilai mahasiswa angkatan 2008-2011 yang sudah dinyatakan lulus, sedangkan mahasiswa angkatan 2013-2014 dan belum lulus akan digunakan sebagai data target. Hasil yang diperoleh dari penelitian ini menunjukkan bahwa faktor yang paling mempengaruhi penentuan klasifikasi kinerja akademik seorang mahasiswa adalah Indeks Prestasi (IP) pada semester 1,2,3,4 dan jenis kelamin, sehingga faktor tersebut dapat menjadi bahan evaluasi terhadap pihak pengelola STMIK Dipanegara. Pengujian pada beberapa data mahasiswa angkatan 2008-2011 yang diambil secara acak, algoritma NBC menghasilkan nilai akurasi 92,3%.

Abstract-Information technology has been widely used by several aspects, such as in the scope of business, industry, government, education, and service. The use of information technology in various aspects of spatial planning can help in its business process. One of the use of information technology in the field of education is e-learning, scheduling, financial information systems, and others.SMK N 1 Kaliwungu is one of the schools that already utilize information technology, such as Program Scheduling Subject Schedule. This program helps the scheduling in its implementation need to be evaluated to improve more accurate objectives. In this study, will be discussed about system scheduling program Lesson using PIECES Framework

AbstrakTeknologi cloud computing pada era sekarang berkembang pesat. Penerapan teknologi cloud computing sudah merambah ke berbagai industri, mulai dari perusahaan besar hingga perusahaan kecil dan menengah. Perambahan cloud computing di perindustrian berupa implementasi ke dalam sistem ERP. Namun, penetrasi teknologi ini dalam lingkup perusahaan kecil dan menengah (UKM) masih belum sekuat perusahaan besar. Penerapan ERP berbasis cloud computing yang masih tergolong baru tentu memiliki keuntungan dan penghambat yang mempengaruhi kinerja perusahaan. Hal tersebut menjadi salah satu pertimbangan UKM masih enggan menggunakan teknologi ini. Penelitian ini akan menganalisis framework yang paling sesuai untuk UKM dalam menerapkan sistem ERP berbasis cloud computing. Framework yang dianalisa yaitu Software as a Service (SaaS), Infrastructure as a Service (IaaS), dan Platform as as Service (PaaS). Ketiga framework ini akan dibandingkan menggunakan metode studi literatur. Tolak ukur yang menjadi acuan untuk perbandingan adalah Compatibility, Cost, Flexibility, Human Resource, Implementation, Maintenance, Security, dan Usability. Faktor-faktor tersebut akan diukur keuntungan dan penghambatnya jika diterapkan dalam SME. Hasil dari penilitian ini adalah Framework SaaS yang paling cocok untuk diterapkan pada perusahaan kecil dan menengah. Kata kunci— Cloud Computing, UKM, SaaS, IaaS, PaaS

The lungs are one of the important and vital organs in the body that function as a respiratory system process. One way to detect lung disease is to do an X-rays test. Chest X-ray is a radiographic projection to detect abnormalities in lung organ by using x-ray radiation. In the process of diagnosing, doctors see the condition of the results of Chest X-rays in the form of a thorax image (chest) to know the patient has an abnormal or normal lung. However, doctors' diagnosis of chest X-rays results-based abnormalities is likely to differ depending on the doctor's abilities and experience. This problem is expected to be solved by segmenting the lung image to help make the diagnosis appropriately. The purpose of this study is to conduct an analysis that can differentiate abnormal and normal lungs. The process of recognition of these patterns consists of the pre-processing stage of image segmentation by using morphology and then proceed to grouping by using fuzzy c-means method to express the pattern of the already segmented image. This research produces normal and abnormal lung images that can be identified with an accuracy of 80%.

Information Systems are a combination of information technology and activities of people who use these technologies to support operations, management, data, and technology. Based on Indonesian Minister of Home Affairs Decree No. 17 of 2000, the Regional Office of the Ministry of Law and Human Rights of West Sulawesi implements the Employee Management Information System (SIMPEG) which functions to process data, information and employee management. Acceptance of information system users determines whether the information system is successful or failed. Thus, this study proposes an integrated model between HOT-Fit and UTAUT2 models to identify behaviours and factors that influence system user acceptance. The online survey was conducted among SIMPEG users as many as 311 respondents consisting of 69.1% men and 30.9% women with an age group dominated by 26-35 years as many as 44.1% to test hypotheses based on an integrated model using GeSCA. The results of the study prove (1) human factors with the moderation of gender and organisation have a significant influence on behavioural intention; (2) behavioural intention has a significant influence on user satisfaction; (3) human, technology and organisational factors have a relationship of compatibility with each other. Besides, the results showed that the integrated model between and SRMR (0.079) which indicated an acceptable model fit. The results of the study support the importance of human and organizational involvement to achieve success acceptance of technology adoption in the government.