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Evaluasi Keamanan Akses Jaringan Komputer Nirkabel (Kasus : Kantor Pusat Fakultas Teknik Universitas Gadjah Mada) Ida Bagus Verry Hendrawan Manuaba; Risanuri Hidayat; Sri Suning Kusumawardani
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 1: Februari 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.51 KB) | DOI: 10.22146/jnteti.v1i1.3

Abstract

The growth of current wireless networks has increased rapidly. The growth of information technology and telecommunications technology requires interoperability, joint regulation and various solutions to solve the increasingly complex problems, such as computer network security issues on wireless networks. An evaluation is needed to maintain and re-assess the stability of the network to remain adequate. This research resulted a model as a result of evaluation that can be used as a useful recommendations to improve the security of a wireless computer network access which affects the performance on the network at the Headquarters of Engineering Faculty of Gadjah Mada University.
Reduksi Peak to Average Power Ratio (PAPR) Menggunakan Teknik Clipping Muhammad Fitrah Sugita; Risanuri Hidayat; Sri Suning Kusumawardani
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 1: Februari 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.398 KB) | DOI: 10.22146/jnteti.v1i1.9

Abstract

Frequency Division Multiplexing (OFDM) has aweakness that lies at the high power variation. Power variationis stated in peak-to-avarage power ratio (PAPR). PAPR is the ratio between the maximum and average power of OFDM signal at the certain time frame. High PAPR value will result in nonlinear distortion when operating on non linear devices such as high power amplifier (HPA). Therefore, it is necessary to find way to reduce PAPR value. In this paper, we used PAPR reduction simulation using clipping techniques. PAPR reduction is done by clipping of the output signal of IFFT block which has a PAPR value exceeds the clipping level clipping value is determined by the ratio of the test using the clipping ratio is 0.8 and 1.4. Clipping provides complimentary cumulative effect of improving the quality of the distribution function (CCDF) and decreased quality of Bit Error Rate (BER). Finally, the smaller the value of the clipping ratio CCDF quality improvement will be higher and the BER degradation will be even greater.
Pengukuran Kepuasan Pengguna E-Learning Menggunakan Metode Evaluasi Heuristik dan System Usability Scale Emi Iryanti; La Ode Mohamad Zulfiqar; Sri Suning Kusumawardani; Indriana Hidayah
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 3: Juni 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022924631

Abstract

Pandemik COVID-19 yang terjadi saat ini mempengaruhi banyak aspek kehidupan termasuk pendidikan, dimana pembelajaran dilakukan dari rumah untuk mengurangi resiko penularan virus corona dengan menerapkan e-learning. Hal ini yang membuat implementasi e-learning harus baik, oleh karenanya harus dilakukan evaluasi agar e-learning mudah digunakan. Salah satu aspek penting yang harus dievaluasi yakni dari sisi usability-nya dimana dapat diketahui kepuasan pengguna dari sisi “kebergunaan”nya. Penelitian ini menggunakan dua metode evaluasi usability yaitu System Usability Scale (SUS) dan evaluasi heuristik (HE) digunakan untuk hal ini. Penggunaan kedua metode ini dilakukan untuk mendapatkan hasil evaluasi yang lebih mendalam agar dapat dilakukan perbaikan oleh pihak terkait. Dalam evaluasi usability menggunakan HE, evaluator yang dipilih adalah lima user expert yang ahli dalam bidang usability (tiga orang) ahli dalam bidang IT dan pengembangan pembelajaran (dua orang), sedangkan lingkup evaluasi pada penelitian ini yaitu proses login, edit profile, organisasi perkuliahan, dan aktivitas perkuliahan. Sedangkan pada evaluasi menggunakan kuesioner SUS diperoleh skor 63,3 (grade C-) dengan 162 responden, dengan hasil uji realibitas sebesar 0,818 dan uji validitas semua item pertanyaan di atas 0,129 yang berarti bersifat realible dan valid. Hasil evaluasi usability menggunakan HE, didapatkan bahwa terdapat satu prinsip yang dianggap sebagai permasalahan mayor oleh user expert yaitu prinsip user control and freedom, dimana sistem (e-learning) tidak memfasilitasi fungsi undo dan redo yang menyebabkan pengguna kebingungan apabila dengan sengaja/tidak memilih menu yang tidak dikehendaki. AbstractThe COVID-19 pandemic affects many aspects including education, where learning is carried out from home to reduce the risk of coronavirus transmission by implementing e-learning. One important aspect that must be evaluated is from the usability side, where we can find out the user satisfaction from the "usability" side. This study uses two usability evaluation methods, namely the System Usability Scale (SUS) and the heuristic evaluation (HE). The use of these two methods is carried out to obtain more in-depth evaluation results so that related parties can improve them. In the usability evaluation using HE, the selected evaluators are five user experts who are experts in the field of usability (three people) who are experts in the field of IT and learning development (two people), while the scope of evaluation in this study is the login process, edit profile, lecture organization, and lecture activities. While the evaluation using the SUS questionnaire obtained a score of 63.3 (grade C-) with 162 respondents. The results of the usability evaluation using HE, it was found that there is one principle that is considered a major problem by user experts, namely the principle of user control and freedom, where the system (e-learning) does not facilitate the undo and redo functions which causes confusion if the user click unwanted menu.
Ontology-Based Social Media Talks Topic Classification (Twitter Case) Fransisca Julia Kusuma Deviyanti; Sri Suning Kusumawardani; Paulus Insap Santosa
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 3, No 1 (2019): March 2019
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (984.569 KB) | DOI: 10.22146/ijitee.46534

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In the era of digital communication, the use of Twitter as a customer service has been widely encountered. Companies have started to develop strategies around effective use of Twitter, one of which was to identify problems that customers frequently complain about. Twitter, with its straightforward tweet characteristics, will certainly contain sentences with very specific and easily recognizable keywords. These characteristics can be used as a basis for classifying tweets into certain topics. With a help of ontology, classification with keywords can be done automatically. The purpose of this paper is to design an ontology used as a basis for classifying tweets into certain topics related to the 4G telecommunications network in Indonesia and to evaluate performance of proposed classifier model.
A Multi Criteria Decision Making to Support Major Selection of Senior High School Adhistya Erna Permanasari; Marsetyo Wisaksono; Sri Suning Kusumawardani
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 3, No 4 (2019): Desember 2019
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijitee.54427

Abstract

Senior high school students need to select a specialization, such as Mathematics and Natural Sciences, Social Sciences, or Language and Culture. This selection process can be improved by using Multi Criteria Decision Making (MCDM) methods. When MCDM methods are implemented, AHP method has accuracy of 61%, whereas AHP-Fuzzy TOPSIS 1 and AHP-Fuzzy TOPSIS 2 have accuracy of 75%. This research implements tests and analyzes new MCDM method, which is Hybrid MCDM Model, in helping aforementioned specialization selection process. There are four basic steps in Hybrid MCDM Model: performing experimental design to obtain attributes' weight and criteria, evaluating MCDM with the three existing methods, performing RSM regression to derive mathematical model, and decision making. This research introduces data normalization to the mathematical model which results in better implementation of Hybrid MCDM Model in the senior high school students' specialization selection process. Hybrid MCDM Model in the senior high school student specialization selection has accuracy of 86%, which includes 11% accuracy improvements compared to other applied MCDM methods.
Efisiensi ISO 27001, ISO 9001, dan Standar LPSE pada Data Center dan e-Procurement Pemerintahan Faradina Harumi; Lukito Edi Nugroho; Sri Suning Kusumawardani
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 1 (2021): Januari 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (202.232 KB) | DOI: 10.14421/jiska.2021.61-06

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National government and regional government are developing public service by communication and information network. Provided public service must be reliable, trusted, and reachable. To fulfil that, there are standards that need to be implemented for example ISO 27001, ISO 9001, and LPSE Standard. The purpose of this paper is to create efficiency in implementing ISO 27001, ISO 9001, and LPSE Standard with the scope of data center infrastructure and e-procurement service (LPSE). This paper uses qualitative method. The data obtained from primary and secondary data through a case study from government that has successfully implemented those standards. The result of this paper is mapping that shows intersection of similarity and difference between ISO 27001:2013, ISO 9001:2015, dan LPSE Standard and efficiency of document requirement which previously 50 to 24 documents only.
ISO 27001 Sebagai Metode Alternatif Bagi Perancangan Tata Kelola Keamanan Informasi (Sebuah Usulan Untuk Diterapkan di Arsip Nasional RI) Dicky Rutanaji; Sri Suning Kusumawardani; Wing Wahyu Winarno
Retii Prosiding Seminar Nasional ReTII ke-12 2017
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Seri ISO/IEC 27001 merupakan standar yang sering digunakan untuk mengetahui kebutuhan untuk menerapkan keamanan sistem informasi. Dengan penerapan ISO/IEC 27001 dapat melindungi aspek-aspek dari keamanan informasi yaitu confidentiality, integrity dan availability. Adanya tata kelola data pemerintahan yang efisien, transparan, inovatif dan patisipatif dalam hal ini keamanan data dan informasi akan memiliki peran penting dalam mewujudkan penyelenggaraan pemerintahan yang baik dan bersih. Oleh karena itu kemampuan untuk menyediakan informasi secara cepat dan akurat merupakan hal yang esensial. Salah satu bentuk dukungan dan penyelenggaraan keamanan informasi adalah dengan adanya tata kelola keamanan informasi (Information Security Governance) bagi pemerintahan. Paper ini dimaksudkan untuk menunjukkan kelebihan ISO 27001 sebagai sebuah metode yang paling cocok (fit) untuk digunakan dalam perancangan tata kelola keamanan informasi arsip digital berbasis komputasi awan di lingkungan Arsip Nasional RI.Kata Kunci: tata kelola, keamanan informasi, ISO 27001, komputasi awan
Pengujian Kegunaan Aplikasi APOA Menggunakan System Usability Scale untuk Mendukung Revolusi Industri 4.0 Anggi Destiyarto; Sri Suning Kusumawardani; Ridi Ferdiana
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 3 No. 1 (2019): PROSIDING SEMNAS INOTEK Ke-III Tahun 2019
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v3i1.516

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Revolusi Industri 4.0 mengubah pola kebutuhan pengguna terhadap aplikasi. Penerapan teknologi informasi dalam kegiatan keimigrasian merupakan hal yang tidak dapat dihindarkan untuk menjaga kedaulatan negara. Peningkatan sektor pariwisata dan perdagangan internasional telah membuat pengamanan orang asing menjadi lebih kompleks. Keamanan pada wilayah Indonesia menghadapi lebih banyak unsur kriminal, penyeberangan ilegal, identitas dan dokumen palsu, atau penyelundupan. Aplikasi Pengawasan Orang Asing (APOA) dibangun untuk memantau lalu lintas orang asing serta keberadaan dan kegiatannya di wilayah Indonesia. Keberadaan orang asing dapat dilaporkan dalam waktu 1x24 jam sejak orang asing tersebut mulai menginap. Tujuan dari penelitian ini adalah untuk menguji kegunaan dari aplikasi berbasis web yang telah diimplementasikan. Fokus survei penelitian ini adalah pengujian kegunaan aplikasi APOA yang disediakan oleh Direktorat Jenderal Imigrasi Kementerian Hukum dan Hak Asasi Manusia Republik Indonesia. Pengujian kegunaan dilakukan dengan cara menyebarkan kuesioner kepada responden, yang diproses menggunakan System Usability Score (SUS). Rata-rata skor SUS adalah 58,18 menunjukkan bahwa aplikasi APOA berada pada posisi marginal rendah. Ini berarti bahwa aplikasi belum dapat digunakan dan membutuhkan pengembangan lebih lanjut, namun masih diperlukan untuk responden sebagai sarana pelaporan orang asing. Skor SUS tertinggi adalah 77,5 berarti dapat digunakan dan yang terendah adalah 45,0 yang berarti tidak dapat digunakan.
Machine Learning Untuk Estimasi Posisi Objek Berbasis RSS Fingerprint Menggunakan IEEE 802.11g Pada Lantai 3 Gedung JTETI UGM Chairani Chairani; Widyawan Widyawan; Sri Suning Kusumawardani
JURNAL INFOTEL Vol 7 No 1 (2015): May 2015
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v7i1.23

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Penelitian ini membahas tentang estimasi posisi (localization) objek dalam gedung menggunakan jaringan wireless atau IEEE 802.11g dengan pendekatan Machine Learning. Metode pada pengukuran RSS menggunakan RSS-based fingerprint. Algoritma Machine Learning yang digunakan dalam memperkirakan lokasi dari pengukuran RSS-based menggunakan Naive Bayes. Localization dilakukan pada lantai 3 gedung Jurusan Teknik Elektro dan Teknologi Informasi (JTETI) dengan luas 1969,68 m2 dan memiliki 5 buah titik penempatan access point (AP). Untuk membentuk peta fingerprint digunakan dimensi 1 m x 1 m sehingga terbentuk grid sebanyak 1893 buah. Dengan menggunakan software Net Surveyor terkumpul data kekuatan sinyal yang diterima (RSS) dari jaringan wireless ke perangkat penerima (laptop) sebanyak 86.980 record. Hasil nilai rata-rata error jarak estimasi untuk localization seluruh ruangan di lantai 3 dengan menggunakan algoritma Naive Bayes pada fase offline tahap learning adalah 6,29 meter. Untuk fase online dan tahap post learning diperoleh rata-rata error jarak estimasi sebesar 7,82 meter.
The use of UGM’s eLOK as a Student Learning Outcomes Evaluation Platform Ramadhan Dwi Marvianto; Haryanti Mustika; Sri Suning Kusumawardani
Gadjah Mada Journal of Psychology (GamaJoP) Vol 10, No 1 (2024)
Publisher : Faculty of Psychology, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/gamajop.79149

Abstract

The use of online platforms in testing is a necessity nowadays, especially in an academic context. The platform used in UGM, namely eLOK, provides a testing facility which enable the lecturers to simultaneously see the results of the test evaluations and questions directly from the platform. However, there haven’t been any studies that compare the evaluation results using UGM’s eLOK with other approaches. Therefore, this study compared evaluation results from UGM’s eLOK with the Classical Test Theory (CTT) and Item Response Theory 2-Parameter Logistics (IRT 2-PL) approach using the Graded Response Model (GRM). This study included 22 active students who took the test using the UGM’s eLOK platform in the Multivariate Statistics course during the even semester of 2020/2021 academic year. The results of the analysis showed that the evaluation using the UGM’s eLOK platform had close equivalence with the CTT approach, although each parameter’s value was slightly different. In addition, the results of the IRT analysis were found to have far differences with the other two methods, but these results only slightly reflect the actual parameters due to the minimal number of subjects. The results of this study can be used as a reference in using UGM’s eLOK as a student academic testing platform, where lecturers are able to evaluate the quality of the tests and items given to test.