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Sistem Pendukung Keputusan Pemilihan Kartu Internet Smartphone Menggunakan Metode MOORA dan WASPAS Sulistya Kusuma Wardhani, Annisa Risqi; Yahya, Sitti Rachmawati; Tanwir, Tanwir; S, Usanto; Ahyuna, A
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3039

Abstract

Currently the internet is the most widely used source of information among the public to find the information needed. The use of the internet can meet the needs of information sources that are fast, easy, precise, accurate and inexpensive. Through the internet can access a variety of information and knowledge according to relevant needs. The internet also has several advantages that are not shared by other conventional sources of information, access to information can be done with restrictions on distance, time and space which is part of the advantages of the internet. Making it possible to get the source of the information obtained. Thus, based on the results of a survey conducted by the previous author, involving 30 respondents who had used internet service packages before, the result was that 90% of respondents had difficulty making the right choice, according to the criteria they wanted. With a decision support system using the MOORA and WASPAS methods, it will be easier to find a solution to the problem of choosing an internet package based on the conditions offered by the various internet operators themselves. These criteria include speed, signal, internet quota, active period and price. Based on the calculations of these two methods, the best smartphone internet card title is alternative A1 with the name Telkomsel with a value for the MOORA method, which is 0.437, while the WASPAS method is 0.942 as the best alternative. So that people don't need to worry about choosing an internet card for smartphones that are good and have good access speeds
Penerapan Data Mining Dengan Mengimplementasikan Algoritma K-Means Dalam Proses Clustering Untuk Pengelompokan Mahasiswa Calon Penerima Beasiswa KIP S, Usanto
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3411

Abstract

This research is about the grouping of prospective students who will receive KIP scholarships. Data mining is a conception or design made with the aim of finding an added value contained in a database that will be able to identify a useful knowledge information. In this study, the concept of data mining was applied to assist campuses in predicting students who will get KIP scholarships by implementing the K-MeansClustering Algorithm, where the K-MeansClustering algorithm can later group each data into clusters so that data that has the same characteristics will be grouped in the same cluster and vice versa if the data has different characteristics then it is grouped into another cluster. The results of this study are 3 cluster results which will be the final result, namely data received as scholarship recipients as many as 52 data, 32 data are grouped as recipient data which will be recommended to the next stage. while the remaining 16 data are grouped as data that is not accepted
The Leadership Of The Head Of The Study Program In Efforts To Improve Lecturer Performance Sopian, Adi; S, Usanto; Sauri, R. Supyan
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 7, No 3 (2023): JHSS (Journal of Humanities and Social Studies)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v7i3..9452

Abstract

Higher education is a critical sector in the advancement of a nation, and the caliber of instruction provided within this domain is predominantly dictated by the effectiveness of lecturers. Enhancing the performance of lecturers has the potential to elevate both the standard of education and instruction. In order for educational institutions to attain commendable benchmarks for performance and eligibility, they must be guided by a Head of Study Program who possesses thorough expertise in the field of leadership. Data for this study were collected via direct interviews with the Head of the Study Program and indirect and direct observation. The findings of this study indicate that the Head of the Business Study Program at Swadarma Institute of Technology has implemented various strategies to enhance lecturer performance. Among these is the provision of professional development opportunities, including workshops, training, and mentoring, which assist lecturers in refining their teaching abilities and remaining current with the most recent trends and optimal methodologies.
IMPLEMENTASI TEKNOLOGI LI-FI (LIGHT FIDELITY) SEBAGAI PENDUKUNG OPTIMALISASI KONEKSI IOT PADA SMART HOME S, Usanto; Sopian, Adi; Dewi, Christine Sientta; Syahrial, Riza; Ningtyas, Septiana; Nurlaela, Lela
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 5, No 2 (2025): JEIS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol5no2.772

Abstract

Communication technology continues to advance, with Light Fidelity (Li-Fi) emerging as an innovation offering high transmission speeds, low latency, and energy efficiency. This study aims to evaluate the potential of Li-Fi as a connectivity solution for the Internet of Things (IoT) in smart homes in Indonesia, considering the limitations of Wi-Fi, which often experiences interference, high latency, and significant energy consumption. The research employs a field experiment approach in a smart home simulation that encompasses IoT devices, such as bright lights, security cameras, and thermostats, alongside interviews with users, developers, and technology practitioners. The findings reveal that Li-Fi achieves an average speed of 8.5 Gbps with a latency of 1.2 milliseconds, significantly outperforming Wi-Fi, which only reaches 450 Mbps and a latency of 15 milliseconds. Li-Fi also demonstrates superior energy efficiency, requiring just 0.2 watts per GB of data compared to Wi-Fi's 1.5 watts. Furthermore, network interference is virtually undetectable with Li-Fi, making it an ideal solution for densely populated urban environments. Interviews indicate that smart home users desire fast and stable connectivity but identify initial costs and a lack of education as key challenges. The study concludes that Li-Fi has significant potential to address IoT connectivity challenges in smart homes, offering benefits such as energy efficiency, high speed, and connection stability. However, its implementation requires the development of new hardware, user education, and adequate regulatory support. With a holistic strategy, Li-Fi could become a cornerstone in the development of efficient, secure, and sustainable smart homes, while also supporting other sectors such as education and healthcare in Indonesia.Teknologi komunikasi terus berkembang, dengan Light Fidelity (Li-Fi) muncul sebagai inovasi yang menawarkan kecepatan transmisi tinggi, latensi rendah, dan efisiensi energi. Penelitian ini bertujuan mengevaluasi potensi Li-Fi sebagai solusi konektivitas Internet of Things (IoT) dalam rumah pintar (smart home) di Indonesia, mengingat keterbatasan Wi-Fi yang sering mengalami interferensi, latensi tinggi, dan konsumsi energi besar. Penelitian ini menggunakan pendekatan eksperimen lapangan pada simulasi rumah pintar yang mencakup perangkat IoT seperti lampu pintar, kamera keamanan, dan termostat, serta wawancara dengan pengguna, pengembang, dan praktisi teknologi. Hasil penelitian menunjukkan bahwa Li-Fi mencapai kecepatan rata-rata 8,5 Gbps dengan latensi 1,2 milidetik, jauh lebih baik dibandingkan Wi-Fi yang hanya mencapai kecepatan 450 Mbps dan latensi 15 milidetik. Li-Fi juga lebih hemat energi, hanya membutuhkan daya 0,2 watt per GB data, dibandingkan Wi-Fi yang memerlukan 1,5 watt. Selain itu, interferensi jaringan hampir tidak terdeteksi pada Li-Fi, menjadikannya solusi ideal untuk lingkungan urban yang padat perangkat. Wawancara mengungkapkan bahwa pengguna rumah pintar menginginkan konektivitas yang cepat dan stabil, namun mengidentifikasi biaya awal dan kurangnya edukasi sebagai tantangan utama. Kesimpulan penelitian ini menegaskan bahwa Li-Fi memiliki potensi besar untuk mengatasi kendala konektivitas IoT pada rumah pintar, dengan manfaat yang mencakup efisiensi energi, kecepatan tinggi, dan stabilitas koneksi. Namun, implementasi Li-Fi membutuhkan pengembangan perangkat keras baru, edukasi pengguna, dan dukungan regulasi yang memadai. Dengan strategi yang holistik, Li-Fi dapat menjadi pilar utama dalam pengembangan rumah pintar yang efisien, aman, dan berkelanjutan, sekaligus mendukung berbagai sektor lain seperti pendidikan dan kesehatan di Indonesia.