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All Journal Journal of Humanities and Social Studies Building of Informatics, Technology and Science Journal of Applied Science, Engineering, Technology, and Education Community Development Journal: Jurnal Pengabdian Masyarakat JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS)
S, Usanto
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Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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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.
Internal Quality Assurance System to Improve Lecturer Performance and Its Relevance to Education Quality at ITB Swadharma Warta, Waska; S, Usanto; Sopian, Adi
Journal of Applied Science, Engineering, Technology, and Education Vol. 5 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci2329

Abstract

To improve teacher performance and education quality at ITB Swadharma, this research explains the Internal Quality Assurance System (IQAS). The qualitative case study research focuses on ITB Swadharma's Quality Assurance Institute (QAI). Data collection methods include direct observation, document and archival searches, and interviews. The research shows that IQAS at ITB Swadharma improves education through research and innovation. ITB Swadharma can improve inclusivity, relevance, and comprehensiveness by focusing on program evaluation, student empowerment, technology implementation, industry collaboration, internal quality monitoring, stakeholder engagement, and best practices adoption. The institution can better adapt to education sector and student needs with IQAS. ITB Swadharma can improve educational quality by incorporating students, alumni, staff, the local community, and industry partners. According to ITB Swadharma's QAI's academic and quality documents, the IQAS Cycle implements IQAS policies and ideas. Leadership commitment, auditor shortages, and IQAS routineness are issues. Quality assurance expertise, auditor training, and a culture of quality assurance address these issues. The results of annual IQAS examination are used to promote quality. Quality management criteria from the National Accreditation Board for Higher Education (BAN PT) and the Independent Accreditation Agency (LAM) influence IQAS implementation.
INTEGRASI IOT DAN BIG DATA UNTUK OPTIMASI LOGISTIK DAN RANTAI PASOKAN S, Usanto; Sopian, Adi; Sucahyo, Nur; Syahrial, Riza; Hiswara, Indra
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 4, No 2 (2024): JURNAL JRIS EDISI JULI 2024
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol4no2.615

Abstract

The development of information and communication technology has brought significant changes to various sectors, including logistics and the supply chain. The Internet of Things (IoT) and Big Data are two key technologies that have attracted the attention of many researchers and practitioners due to their potential to enhance efficiency, accuracy, and transparency in logistics processes and supply chain management. This study explores the integration of IoT and big data for optimizing logistics and supply chains, as well as identifying related benefits and challenges. The research methodology used is a mixed-methods approach combining qualitative and quantitative methods. Data were collected through literature reviews, interviews, questionnaires, and field observations. The results show that the integration of IoT and big data can improve operational efficiency, demand forecasting accuracy, route optimization, risk management, and customer satisfaction. Real-time tracking with IoT devices reduces the risk of lost goods by up to 30%, while process automation reduces the need for human intervention and increases operational efficiency by 25%. Big Data analysis helps in more accurate demand forecasting with a 15% improvement in accuracy, and route optimization reduces average delivery time by 10% and fuel consumption by 15%. Predictive maintenance with IoT data reduces vehicle downtime by up to 20%, and risk analytics reduce risk incidents by 18%. Although there are challenges regarding data security, device interoperability, and effective data management, solutions such as data encryption, the development of universal industry standards, and the use of cloud computing technology can address these issues. This study concludes that the integration of IoT and big data has great potential to enhance the efficiency and effectiveness of logistics and supply chains, making a significant contribution to this industry in Indonesia..Perkembangan teknologi informasi dan komunikasi telah membawa perubahan signifikan dalam berbagai sektor, termasuk logistik dan rantai pasokan. Internet of Things (IoT) dan Big Data merupakan dua teknologi utama yang menarik perhatian banyak peneliti dan praktisi karena potensinya untuk meningkatkan efisiensi, akurasi, dan transparansi dalam proses logistik dan manajemen rantai pasokan. Penelitian ini mengeksplorasi integrasi IoT dan Big Data untuk optimasi logistik dan rantai pasokan, serta mengidentifikasi manfaat dan tantangan yang terkait. Metode penelitian yang digunakan adalah pendekatan metodologi campuran yang menggabungkan metode kualitatif dan kuantitatif. Data dikumpulkan melalui studi literatur, wawancara, kuesioner, dan observasi di lapangan. Hasil penelitian menunjukkan bahwa integrasi IoT dan Big Data dapat meningkatkan efisiensi operasional, akurasi peramalan permintaan, optimasi rute pengiriman, manajemen risiko, dan kepuasan pelanggan. Pelacakan real-time dengan perangkat IoT mengurangi risiko kehilangan barang hingga 30%, sementara otomatisasi proses mengurangi kebutuhan intervensi manusia dan meningkatkan efisiensi operasional sebesar 25%. Analisis Big Data membantu peramalan permintaan yang lebih akurat dengan peningkatan akurasi sebesar 15%, serta optimasi rute pengiriman yang mengurangi waktu pengiriman rata-rata sebesar 10% dan konsumsi bahan bakar sebesar 15%. Pemeliharaan prediktif dengan data IoT mengurangi waktu henti kendaraan hingga 20%, dan analitik risiko mengurangi insiden risiko hingga 18%. Meskipun terdapat tantangan dalam hal keamanan data, interoperabilitas perangkat, dan manajemen data yang efektif, solusi seperti enkripsi data, pengembangan standar industri, dan penggunaan teknologi cloud computing dapat mengatasi masalah ini. Penelitian ini menyimpulkan bahwa integrasi IoT dan Big Data memiliki potensi besar untuk meningkatkan efisiensi dan efektivitas logistik dan rantai pasokan, serta memberikan kontribusi signifikan bagi industri ini di Indonesia.
IMPLEMENTASI CITRIX ENDPOINT MANAGEMENT PADA RANCANGAN SOFTWARE AS A SERVICE DALAM MENANGANI PERANGKAT ENDPOINT Nurlaela, Lela; Ningtyas, Septiana; S, Usanto
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 4, No 2 (2024): JEIS EDISI JULI 2024
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol4no2.574

Abstract

Endpoint device management has a significant impact on organizational efficiency and productivity. Companies in the information technology sector must be ready to face the challenges of managing endpoint devices that are increasingly complex and varied. This research aims to design a Software-as-a Service (SaaS) solution using Citrix Endpoint Management to overcome these challenges. This research adopts a qualitative method with a case study approach. Data was collected through interviews and observation of existing IT infrastructure. A literature study was also conducted to obtain information about the concepts of endpoint device management, SaaS, and Citrix endpoint management. The result of the research is a SaaS design using Citrix Endpoint Management that will manage endpoint devices centrally and efficiently. This SaaS solution will provide features such as security policy enforcement, device monitoring, and automatic software updates. The SaaS implementation is expected to reduce the cost and time needed to manage endpoint devices, thereby increasing the productivity and focus of companies on their core business. This research contributes to the development of an endpoint device management system using a SaaS approach with Citrix Endpoint Management. The results are expected to provide guidance to other companies facing similar challenges in optimizing the management of their endpoint devices. Pengelolaan perangkat endpoint memberikan dampak yang signifikan terhadap efisiensi dan produktivitas perusahaan. Perusahan dalam bidang teknologi informasi harus siap dalam menghadapi tantangan mengelola perangkat endpoint yang semakin kompleks dan bervariasi. Penelitian ini bertujuan untuk merancang sebuah solusi Software as a Service (SaaS) menggunakan Citrix Endpoint Management guna mengatasi tantangan tersebut. Penelitian ini mengadopsi metode kualitatif dengan pendekatan studi kasus. Data dikumpulkan melalui wawancara serta observasi infrastruktur IT yang ada. Studi pustaka juga dilakukan untuk mendapatkan informasi tentang konsep pengelolaan perangkat endpoint, SaaS, dan Citrix Endpoint Management. Hasil penelitian berupa desain SaaS menggunakan Citrix Endpoint Management yang akan mengelola perangkat endpoint secara terpusat dan efisien. Solusi SaaS ini akan menyediakan fitur-fitur seperti penerapan kebijakan keamanan, monitoring perangkat, dan pembaruan perangkat lunak otomatis. Implementasi SaaS diharapkan dapat mengurangi biaya dan waktu yang dibutuhkan untuk mengelola perangkat endpoint, sehingga dapat meningkatkan produktivitas dan fokus perusahaan pada inti bisnis mereka. Penelitian ini memberikan kontribusi dalam pengembangan sistem pengelolaan perangkat endpoint menggunakan pendekatan SaaS dengan Citrix Endpoint Management. Hasilnya diharapkan dapat memberikan panduan bagi perusahaan lain yang menghadapi tantangan serupa dalam mengoptimalkan pengelolaan perangkat endpoint mereka.
PELATIHAN DAN PENGEMBANGAN KEPEMIMPINAN DALAM MEMBANGUN KARAKTER SISWA BERLANDASKAN NILAI-NILAI PANCASILA S, Usanto; Nurlaela, Lela; Ningtyas, Septiana; Syahrial, Riza
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2024): Volume 5 No 1 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i1.25763

Abstract

Kegiatan Pengabdian Kepada Masyarakat ini ditujukan untuk melakukan Pelatihan dan Pengembangan Kepemimpinan dalam Membangun Karakter Siswa Berlandaskan Nilai-Nilai Pancasila di ITB Swadarma. Metode kegiatan mengintegrasikan teknik ceramah, tanya jawab, dan demonstrasi, kegiatan ini bertujuan membentuk karakter dan kepemimpinan siswa dengan fondasi nilai-nilai Pancasila. Pembekalan melibatkan motivasi dan identifikasi kebutuhan, sementara pemberian materi terfokus pada pengembangan keterampilan kepemimpinan dan implementasi nilai-nilai Pancasila. Melibatkan civitas akademik selama 3 hari, kegiatan ini mencapai tujuannya pada 5-7 Januari 2024. Evaluasi partisipatif menunjukkan keberhasilan dalam menciptakan pengalaman pembelajaran berbasis karakter, menghasilkan siswa yang tidak hanya cerdas intelektual, tetapi juga memiliki karakter dan kepemimpinan yang sesuai dengan nilai-nilai luhur Pancasila.
Co-Authors Ahyuna, A Annisa Risqi Sulistya Kusuma Wardhani Dewi, Christine Sientta Hiswara, Indra Ningtyas, Septiana Nurlaela, Lela Raden Mohamad Herdian Bhakti Sauri, R Supyan Sopian, Adi Sucahyo, Nur Syahrial, Riza Warta, Waska Yahya, Sitti Rachmawati