Sistem presensi merupakan hal yang sangat penting di dalam suatu lingkup kerja, seperti perkantoran, sekolah, maupun universitas. Sistem presensi saat ini telah berkembang dalam berbagai jenis, diantaranya sistem presensi secara manual, barcode, sidik jari, iris mata dan pengenalan wajah. Saat ini telah rata-rata perusahaan telah menggunakan sistem presensi fingerprint. Sistem presensi menggunakan sidik jari ini masih memiliki kekurangan dan kelemahan yang disebabkan  human error, seperti scansidik jari sulit diterima. Hal ini bisa dikarenakan kondisi jari yang tidak normal, seperti basah, kotor, terlalu kering, maupun ujung jari terkelupas. Dengan adanya perkembangan teknologi mobile saat ini,  maka diusulkan sebuah sistem presensi berbasis wajah yang akan dibangun dengan menggunakan metode Viola–Jones dan Eigenface pada smartphone. Metode Viola - Jones merupakan algoritma yang paling banyak digunakan untuk mendeteksi wajah dikarenakan metode Viola-Jones mampu mendeteksi secara real-time, cepat, efisien, dan juga mempunyai keakuratan yang sangat tinggi dalam mendeteksi wajah.  Metode Viola-Jones ini menggabungkan empat kunci utama yaitu: Haar Like Feature, Integral Image, AdaBoost Learning ,dan Cascade Classifier. Algoritma Eigenface digunakan untuk melakukan identifikasi citra wajah yang terdeteksi dari suatu citra wajah dengan menggunakan Principal Component Analysis (PCA). Setelah dilakukan pengujian, aplikasi presensi wajah yang diusulkan mampu menghasilkan tingkat akurasi sebesar 90,90%.

Improving the quality of industrial work practice students in the field of computers who are ready to enter the field of work is one of the qualities of every SMK, one of which is that several Vocational High Schools (SMK), both public and private, always send their students to internships (Industrial Work Practice). a company or institution for 3 months with fieldwork and produce reports. This research will design an android apprenticeship application using programming internship monitoring by monitoring student activities towards DUDI supervisors who will know the information by the supervisor / school authorities. The application testing process uses ISO 9126 with stakeholders and testing its effectiveness, efficiency, usefulness to ensure that the application can be used and is functionally appropriate by schools (SMK Kejuruan). The results of the research are in the form of monitoring of internship programming which can have an impact on the utilization of the supervisoryteacher's internship activity reports. This application after being tested for the usefulness aspect is 84,35 (good criteria), the efficiency aspect is 83,06 (good criteria), the functional aspects get a value of 83,05 (good criteria), and the reliability aspect is 80,96 (good criteria) , so that the overall average is 83,05 (good criteria).

Steganografi adalah salah satu teknik yang paling kuat untuk menyembunyikan keberadaan data rahasia tersembunyi di dalam penutup obyek. Gambar adalah objek penutup paling populer untuk Steganografi dan dalam steganografi gambar kerja ini diadopsi. Menanamkan informasi rahasia di dalam gambar membutuhkan perhitungan yang intensif, dan oleh karena itu, merancang Steganography dalam mempercepat kecepatan perangkat Steganografi. Ini diimplementasikan menggunakan prosesor ARM7TDMI dan GSM 900. Ada beberapa teknik untuk menyembunyikan informasi di dalamnya gambar sampul. Teknik domain spasial memanipulasi nilai bit pixel gambar sampul untuk menanamkan informasi rahasia. Bit rahasia ditulis langsung ke sampul image pixel bytes. Akibatnya, teknik domain spasial sederhana dan mudah diterapkan. The Least Significant Bit (LSB) adalah salah satu techniques utama dalam steganografi citra domain spasial. Dalam penelitian ini, teknik baru steganografi LSB telah diusulkan yang merupakan versi improvisasi teknik LSB satu bit. Ada pun tujuan dari penelitian untuk menyembunyikan pesan teks rahasia kedalam file gambar sehingga pesan rahasia menjadi aman karena sudah disimpan didalam file gambar sehingga menjadikan alternatif pengiriman pesan agar terhindar dari pencurian dan sabotase. Kata Kunci -Steganography, embedded, Cover image, LSB method.

With the rapid advancement of information technology today, every world of education requires campuses to develop teaching and learning services in their special practicum in the laboratory. Rapid response laboratory services are a form of participation to take part in the implementation of practicum adjusting standard operating procedures (SOP). In this case, the author takes a case study at the Atma Luhur ISB computer laboratory, making a damage report or PC troubleshooting now still in the form of LOG books and manuals, and the processing time is waiting for lecture hours to finish. Thus, a rapid response application process for response and information service laboratories is needed to make it easier for laboratory workers to carry out job descriptions. The method used in designing this rapid response system application is the waterfall model and is run on the Android operating system. The results of the rapid response application in the Atma Luhur ISB laboratory can help smooth practicum in this laboratory, making it easier for the laboratory and to obtain service responses and practicum services more quickly and effectively. This application after being tested for functional aspects by distributing questionnaires to laboratory assistants got an average value of 87.083% (good criteria), so overall it can be concluded that this application can be applied in the Atma Luhur ISB laboratory.

Computer Laboratory Assistant, abbreviated as ASLAB, includes a Lab Assistant in a Computer Laboratory. ASLAB helps improve service performance in the Computer Laboratory, such as assisting Lecturers when teaching practicum at the Computer Laboratory and assisting in installing software on Student laptops so that the performance of Computer Laboratory services is always good. Problems The Head of the Computer Laboratory has difficulty assessing the comparison of ASLAB with other ASLABs to determine the best or not good performance. The calculation of the final value uses the mean value method so that all criteria are considered to be of equal importance, so we cannot know which criterion is more important. The research objective is to apply the AHP and SMART methods for selecting the best Computer Laboratory Assistant so that it can determine the criteria and ranking weights for the best Computer Laboratory Assistant so that it can be used as a basis for decision making and applied by the Head of the Computer Laboratory in selecting the best Computer Laboratory Assistant.