Penelitian ini bertujuan merancang dan membangun aplikasi virtual reality gedung jurusan Teknologi Informasi Politeknik Negeri Padang berbasis Android. Metode penelitian yang digunakan adalah penelitian kualitatif dimana strategis yang digunakan adalah Design and Creation. Penelitian ini menggunakan metode pengumpulan data observasi. Pengujian yang digunakan adalah menggunakan VR BOX. Hasil dari penelitian ini berupa aplikasi Virtual Reality Gedung Teknologi Informasi yang dapat menjadi media penyampaian informasi terhadap perguruan tinggi. Aplikasi ini sudah memvisualisasikan objek gedung beserta properti didalam gedung Teknologi Informasi, desain aplikasi menarik, informasi yang disajikan sebatas penetahuan umum. Virtual dapat berjalan dalam objek gedung dengan menggunakan kontrol pada kamera dan user mengendalikan untuk memulai atau berhenti.

The growing use of cellular technology has a rapid impact on the development of technology and information. This development relates to the use of information and communication services that is tailored directly, practically and effectively manner. Responding to the issue, the researcher is interested in conducting research by looking at the parameters using Time Division Duplex (TDD) technology and Frequency Division Duplex (FDD) technology on video streaming services. Service integrity measurement results on LTE networks are carried out in real time in the field according to the research path and eNodeB installed in dedicated mode. Dealing with the results, the effect of DT parameters on service integrity can only be seen in the SINR and CQI parameters. When SINR measured 21.3 dB and CQI measured 13.5, the measured throughput was 3665.2 Kbps so that the measured modulation was 64 QAM, on the other hand, if SINR measured -0.2 dB and CQI measured 10, the measured throughput was 0.5 Kbps so that the modulation measured was small, namely QPSK. From the results obtained, LTE TDD has a better service integrity value, namely throughput has a value of 891.16 Kbps and a latency of 48 ms for Telkomsel while 882.14 Kbps and latency was 49 ms for Smartfren than LTE FDD which had a throughput value of 820.83 Kbps and a latency was 68 ms for Telkomsel while 831.21 Kbps and 77 ms latency were for Smartfren, thus LTE TDD is better in terms of throughput and measured latency.

Perkembangan teknologi yang semakin pesat dan maju sehingga berdampak terciptanya alat atau sistem yang mampu bekerja seperti jaringan manusia, salah satu contohnya adalah sistem yang bekerja mirip dengan cara kerja hidung manusia atau e-nose. Dengan adanya bantuan sistem ini, maka dapat membantu mempermudah manusia dalam mengidentifikasi serta mengklasifikasikan bau yang tidak dapat tercium atau terdeteksi oleh hidung manusia serta dapat juga meningkatkan akurasi dan ketepatan dalam mengenali bau-bau yang ada. Cara kerja atau prinsip dari e-nose dalam mendeteksi bau yaitu dengan memanfaatkan berbagai reseptor-reseptor untuk dapat mengklasifikasikan bau dan masing-masing reseptor akan memberikan hasil respon atau output yang berbeda-beda dari satu jenis bau yang diuji. Pendekatan yang dilakukan pada pembuatan kajian ini adalah pengenalan pola yaitu belajar dari pola-pola atau contoh yang telah dicoba sebelumnya untuk dapat dikenali oleh sistem agar dapat mendapatkan hasil yang diinginkan atau sesuai target. Untuk dapat membuat sistem deteksi ini dibutuhkan metode yang mampu bekerja seperti jaringan manusia, metodenya yang sering digunakan adalah Jaringan Syaraf Tiruan atau Neural Network. Metode yang sering dipakai dalam membuat e-nose adalah Jaringan Syaraf Tiruan. Jaringan Syaraf Tiruan adalah cara untuk proses informasi yang kerjanya meniru sistem syaraf biologi manusia mirip dengan kerja otak.. Penelitian ini dilakukan dengan mempelajari dan mendalami penelitian-penelitian yang telah dilakukan sebelumnya. Hasil studi literatur yang dilakukan menghasilkan kesimpulan bahwa implementasi Jaringan Syaraf Tiruan Backpropagation bekerja dengan baik dalam mengenali dan mendeteksi bau.  Pada penelitian ini diharapkan dapat membantu mahasiswa, peneliti dan pihak-pihak terkait dalam merancang dan membangun sistem yang menggunakan metode Jaringan Syaraf Tiruan Backpropagation.

Much attention has been paid to large data technologies in the past few years mainly due to its capability to impact business analytics and data mining practices, as well as the possibility of influencing an ambit of a highly effective decision-making tools. With the current increase in the number of modern applications (including social media and other web-based and healthcare applications) which generates high data in different forms and volume, the processing of such huge data volume is becoming a challenge with the conventional data processing tools. This has resulted in the emergence of big data analytics which also comes with many challenges. This paper introduced the use of principal components analysis (PCA) for data size reduction, followed by SVM parallelization. The proposed scheme in this study was executed on the Spark platform and the experimental findings revealed the capability of the proposed scheme to reduce the classifiers’ classification time without much influence on the classification accuracy of the classifier.

The fourth-year students of Bachelor of Applied Studies (BAS) Software Engineering Technology Department of Information Technology (IT) Politeknik Negeri Padang (PNP) are required to work on the Final Project Proposal to the Coordinator, to deliver to the expertise group team to assess the eligibility of the topic. The expertise teams consist of the same skill family. The assessment criteria include originality, novelty, target and topic contribution, methodology, and similarity. Therefore, a system to support group decisions is highly needed to get eligibility for the topic. In a pandemic like today, indoor gatherings are severely restricted. The work from home policy also limits the movement of the team to gather together so that the expert team who would judge cannot conduct a meeting to determine the feasibility of the final project topic optimally. The existence of a subjective assessment of a particular topic requires discussion from the team. The simple Additive Weighting (SAW) method was used to rank the final project proposal, and BORDA method was used to Accumulate the assessment score of the expert team. The research revealed the recommendation on students’ final topics. Testing is done by testing the sensitivity of the criteria used in a decision maker's preference. The final result of this research is a recommendation of a final project that is feasible to be implemented by students and recommendation for sensitive assessment criteria. From the ten topics of the final project that were assessed, seven topics could be accepted. The sensitivity test results showed that the weight with criterion 1 and criterion 4 significantly affect the assessment results.

Decision support system, or DSS, is a system to support decision making process. One commonly used method is TOPSIS. It is a method for decision making on multi-criteria issues, and is one of the simplest and easiest to understand. One of the functions of TOPSIS is to determine the most sold products. It requires a programming language called PHP to implement it on Website. PHP is a server-side programming language, so, all processes are conducted on server, then given to customers. Further, it requires a database for storing the data and software to manage the database is MySQL.

The supply chain is an organization's place to distribute production goods and services to customers. This chain is a network of various organizations that are interrelated and have the aim of carrying out the procurement or supply of goods. Inventory is storing goods in the form of raw materials, semi-finished goods or finished goods that will be used in the production or distribution process. CV. Tre Jaya Perkasa is a company engaged in the distribution of goods such as snacks, drinks and daily necessities. CV. Tre Jaya Perkasa is located in Solok, West Sumatra, Indonesia. From January 2020 to June 2021, CV. Tre Jaya Perkasa has made more than 10 thousand transactions. Based on the sales data, each period (month) of sales transactions can increase and decrease, and the company must plan product sales in the coming period. To maximize profits and minimize losses, a strategy is needed to maintain the availability of goods that are often purchased by customers. From historical transaction data, the company can predict how much stock should be provided for transactions in the coming period. The method used is the moving average method, to measure the error rate of forecasting, MAD, MSE and MAPE are used. Based on the research that has been done, then carried out on the product Trick Potato Biscuit BBQ 24 BOX X 10X18 forecasting comparison between using 3 periods and 5 periods, using 5 product data that are most often purchased by buyers, it was found that the average value of MAD, MSE and MAPE closer to 0 is to use 3-period forecasting.

Kurangnya pemantauan atau memonitoring saat penyewaan rental mobil mengakibatkan tidak dapat mengetahui keberaadaan mobil yang disewakan. Dengan begitu kerap kali usaha rental mobil mengalami kerugian seperti kehilangan mobil dan tidak mengembalikan mobil tepat waktu. Untuk dapat mengetahui keberadaan mobil saat disewakan dan menimalisir kejahatan, sistem penyewaan rental mobil berbasis android untuk mendapatkan informasi pelacakan posisi kendaraan dan keluar masuknya mobil dengan menggunakan GPS. Pada kajian ini penerapan aplikasi android untuk system penyewaan rental mobil dapat memonitoring dan dapat mempermudah mengetahui keberadaan mobil.