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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) snimed Jurnal Teknoin SITEKIN: Jurnal Sains, Teknologi dan Industri Sistemasi: Jurnal Sistem Informasi Jurnal CoreIT Communications in Science and Technology Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat ComTech: Computer, Mathematics and Engineering Applications Refleksi Pembelajaran Inovatif Automata Jurnal Teknik Informatika (JUTIF) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Locus Penelitian dan Pengabdian Khazanah: Jurnal Mahasiswa Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Elyza Gustri Wahyuni
Jurusan Teknik Informatika Fakultas Teknologi Industri Universitas Islam Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Membandingkan Tingkat Efisiensi Metode Tsukamoto dan Sugeno untuk kasus Pneumonia Wahyuni, Elyza Gustri
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 7, No 2 (2021): Desember 2021
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (530.218 KB) | DOI: 10.24014/coreit.v7i2.15085

Abstract

There are three methods that can be used to implement the Fuzzy Inference System (FIS), namely Tsukamoto, Mandani and Sugeno. Each of the three methods has its own characteristics and advantages. Several third studies used this method to compare the efficiency level of different cases. This study also aims to see the most efficient method by comparing the two FIS methods, namely Tsukamoto and Sugeno, based on medical cases from previous studies that have tested the validity of the results from pulmonary specialists. The data used are the same data as previous studies, namely regarding the diagnosis of pneumonia. The analytical method used is Mean Absolute Percantage Error (MAPE) to get the accuracy value of how close a measurement result is to the actual number. Based on the cases tested, the key from the Sugeno method resulted in a smaller MAPE than Tsukamoto, namely 3.15%, which means that the Sugeno method results closer to the pneumonia score/actual value.
Performance of Fuzzy C-Means (FCM) and Fuzzy Subtractive Clustering (FSC) on Medical Data Imputation Sri Kusumadewi; Linda Rosita; Elyza Gustri Wahyuni
ComTech: Computer, Mathematics and Engineering Applications Vol. 15 No. 1 (2024): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v15i1.11002

Abstract

Missing values or incomplete data are frequently encountered in medical records. These issues will be a serious problem if the data must be provided completely for analysis. The research aimed to prove the performance of the Fuzzy Subtractive Clustering (FSC) and Fuzzy C-Means (FCM) methods for solving imputation problems. Both methods were implemented using medical data. It had been conducted using K-Means as a crisp clustering approach for imputation. In the research, fuzzy clustering—a distinct methodology—was applied. The primary research contribution was the suggested fuzzy logic imputation method, which took uncertainty under consideration. The data sample consisted of patients who were at least 40 years old and had a history of hypertension, diabetes, heart disease, stroke, or chronic kidney disease. The test was carried out by taking random portions of data from the entire medical record. The randomization technique used a probability of 10%–50%. The results of the ANOVA test show that the p-value is greater than ∝(=0.05). It means that the imputed value does not differ from the original value, whether implemented in the FSC or FCM method. The algorithm’s performance is evaluated using the Pearson correlation coefficient. According to the t-test results, the FCM method has a higher correlation coefficient than the FSC method. It implies that FCM is superior to FSC.
Location-Based Application for Reporting Sexual Violence Wahyudi, Rian Tri; Wahyuni, Elyza Gustri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2814

Abstract

Sexual violence is a significant and increasing issue in Indonesia, with severe impacts on the physical health, psychological well-being, and overall welfare of victims. On campuses, these incidents often remain unreported due to factors such as shame, fear, and the absence of secure reporting mechanisms. Universitas Islam Indonesia (UII) has established a Task Force for the Prevention and Handling of Sexual Violence (PPKS) and implemented specific regulations to address these issues. This research aims to develop a location-based reporting application for sexual violence incidents within the UII campus. The Android application utilizes technologies such as Global Positioning System (GPS), Google Maps API, Geolocation API, and Firebase to enable real-time incident reporting. Users can report incidents by providing identification, location data, and video evidence, which supports investigations by the PPKS Task Force at UII. The results demonstrate that the application is effective as a reporting medium for sexual violence on campus. The integration of GPS, Google Maps API, and Geolocation API facilitates efficient geographic positioning, while Firebase is employed as a backend solution for secure and organized data storage and management, allowing rapid access by the PPKS Task Force. This application enables the PPKS Task Force to monitor and respond to reports promptly, enhancing the safety and confidence of victims. Therefore, the application is anticipated to become an essential tool in the prevention and management of sexual violence at UII.
Comparison of SAW and TOPSIS Methods in Decision Support Systems for Contraceptive Selection Susilo, Joko; Wahyuni, Elyza Gustri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2815

Abstract

Family Planning (FP) is a crucial initiative in enhancing the quality of life and health of mothers and children. However, selecting the appropriate contraceptive method remains a significant challenge for many couples of reproductive age. This study proposes the development of a web-based Decision Support System (DSS) that integrates the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) at Zahra Harapan Bunda Clinic. The system aims to provide accurate recommendations for selecting contraceptive methods, record data, monitor users, and remind acceptors of consultation schedules. The results indicate that the SAW method is more consistent and aligns more closely with expert recommendations compared to TOPSIS, with a higher conformity percentage ranging from 66.25% to 92.5%. In contrast, TOPSIS showed a lower conformity percentage, ranging from 25.89% to 78.03%. These findings suggest that SAW more accurately reflects expert recommendations and is therefore considered more effective for selecting contraceptive methods. The study recommends the use of the SAW method for decision-making in contraceptive method selection and suggests further research to expand and validate this approach in a broader range of applications.
Kajian Literatur: Kesadaran Keamanan Siber pada Pengguna E-Wallet Putra, Arya Nanda Mahardika; Rahma, Fayruz; Wahyuni, Elyza Gustri
Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) 2024: SNESTIK IV
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/p.snestik.2024.5881

Abstract

Penelitian ini mengangkat konteks penggunaan platform e-wallet di Indonesia dengan fokus pada keamanan transaksi dan kepercayaan pengguna. Sebagai negara yang mengalami pertumbuhan pesat dalam penerapan teknologi keuangan, Indonesia menciptakan ekosistem digital yang dinamis melalui peningkatan penggunaan e-wallet. Penelitian ini bertujuan untuk mengetahui kesadaran cyber security pada pengguna platform e-wallet. Pertumbuhan ini dipengaruhi oleh kemajuan teknologi, perubahan perilaku konsumen, serta inisiatif penyedia dan pemerintah dalam mendorong adopsi teknologi keuangan canggih. Meski demikian, penerapan e-wallet di Indonesia menimbulkan ancaman keamanan transaksi. Penelitian ini mencoba mengkaji literatur dengan mengeksplorasi faktor budaya, sosial, dan psikologis yang memengaruhi keamanan transaksi e-wallet, memberikan pemahaman holistik, dan meningkatkan pengaruhnya terhadap tingkat kepercayaan pengguna. Dengan menggunakan metode tinjauan pustaka, penelitian ini menganalisis penelitian-penelitian yang membahas aspek-aspek tersebut dan menyajikan hasilnya melalui tabel terstruktur. Hasil tinjauan literatur ini memberikan dasar untuk memahami kompleksitas dinamika keamanan transaksi dan kepercayaan pengguna di era keuangan digital Indonesia, dengan implikasi praktis bagi penyedia layanan, pemerintah, dan pihak terkait dalam meningkatkan ekosistem keuangan digital yang aman dan andal.
On the characterization of EM emission of electronic products: Case study for different program modes Yuwono, Tito; Baharuddin, Mohd Hafiz; Zhivomirov, Hristo; Wahyuni, Elyza Gustri
Communications in Science and Technology Vol 9 No 1 (2024)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.9.1.2024.1289

Abstract

The characterization of the EM emissions for electronic products is crucial to ensure that the emissions have met the requirements of the EMC standards. For this, a more comprehensive testing is required to get more meaningful results. While, the emergence of non-stationary emissions is a challenge to obtain valid analysis results. So far, non-stationary EM emissions is not considered and treated properly in the emission analysis. This paper presents a new method for the analysis of EM emissions from electronic devices as a case study by testing three different program modes (scenarios) of Intel Galileo board. These program modes were designed to vary processing intensity in its memory and processor. A comparison was also made between the actual situation (the presence of non-stationary signals) and the hypothetical situation with the assumption that all emissions were stationary. As a result, a significant difference was observed when the analysis considered the real scenario of a non-stationary emission. The ratio between the average autocorrelation using the proposed algorithm and the average correlation by ignoring the non-stationarity of the emission signal was 113.6 times. The study concludes that different program modes produce the different characteristics of EM emissions, making some of them non-stationary. Hence, we strongly suggest the consideration of the non-stationarity of the EM emissions in characterizing complex electronic devices.
Development of Creatorku Application for Managing Digital Influencer Portfolios using Lean Startup Approach Tamiri, Muhammad Husni; Wahyuni, Elyza Gustri
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.4997

Abstract

Influencers face significant challenges in managing their digital portfolios to present analytics data professionally. Manual processes, such as taking screenshots and compiling data, which are time-consuming, often reduce work efficiency. This study develops the Creatorku application using the Lean Startup approach with the Build-Measure-Learn cycle to ensure the product meets user needs. The minimum viable product (MVP) includes data integration from Instagram and YouTube, an analytics dashboard, automatic portfolio creation, and a shareable link feature. Test results show that Creatorku completely eliminates the need for manual data management while enhancing professionalism in the eyes of partners. Additionally, the application supports influencer marketing by providing a solution that improves work efficiency and collaboration with brands. User feedback suggests integrating with other platforms, such as TikTok, improving data visualization, and adding personalization options. With these results, Creatorku is expected to become an innovative solution to support influencers and offer new insights for technology startups.
PERANCANGAN UI/UX CREATORKU DENGAN METODE USER CENTERED DESIGN (UCD) Prinanda, Zetram Adhitya; Wahyuni, Elyza Gustri
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 7 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i7.4129

Abstract

Penelitian ini berfokus pada pengembangan User Interface (UI) dan User Experience (UX) untuk platform Portofolio Digital Creatorku yang memanfaatkan metodologi User-Centered Design (UCD). Alat ini berupaya membantu para influencer dalam mengelola kinerja media sosial mereka secara efektif dan berhasil. Metodologi UCD melibatkan pemahaman konteks, memastikan persyaratan pengguna, merancang solusi, dan menilai hasil. Metode pengumpulan data yang diterapkan meliputi wawancara, observasi, dan tinjauan pustaka. Hasilnya menunjukkan bahwa para influencer memerlukan atribut seperti transparansi harga, pendaftaran uji coba yang mudah, manajemen konten lintas platform, kustomisasi profil, dan data kinerja waktu nyata. Kemanjuran platform dikonfirmasi melalui kegunaan, pengujian kotak hitam, dan pengujian prototipe. Hasil evaluasi menunjukkan bahwa desain antarmuka memenuhi kebutuhan pengguna dengan baik. Sebanyak 100% partisipan berhasil registrasi (rata-rata 2 menit 30 detik), 80% berhasil menghubungkan akun media sosial (2 menit), 100% memahami dashboard (1 menit 45 detik), dan seluruh partisipan berhasil ekspor laporan (1 menit). Teknik User Centered Design (UCD) telah menunjukkan kemanjuran dalam mengembangkan solusi digital yang berpusat pada pengguna. Platform ini diharapkan dapat meningkatkan kemanjuran dan produktivitas influencer dalam manajemen media sosial. Saran untuk penyempurnaan termasuk visualisasi langganan yang disempurnakan, navigasi yang lebih baik, dan fungsi panduan yang lebih luas. Temuan ini secara substansial memajukan penciptaan platform digital berorientasi UCD yang dirancang untuk para profesional di sektor kreatif.
The Role Of A Decision Support System In Enhancing The Management Of Sexual Violence Cases In Higher Education Using The Saw Method Through An Android-Based Application Wahyuni, Elyza Gustri; Wahyudi, Rian Tri; Fadhillah, Lalam Fathonah
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4761

Abstract

The rising prevalence of sexual violence in higher education institutions demands urgent attention, highlighting the need for an efficient and responsive reporting system. Android-based applications for reporting sexual violence play a vital role in addressing this issue. This research proposes an application designed to provide ease of access and usability, enabling victims or witnesses to promptly submit reports supported by video, audio, and real-time GPS data. Such empirical evidence increases the likelihood of successful follow-up actions and strengthens legal claims against perpetrators. Timely responses are especially critical for the Sexual Violence Prevention and Handling Task Force (PPKS) to mobilize campus security teams effectively and reduce long-term trauma experienced by victims. An integral component of the application is a Decision Support System (DSS) that utilizes the Simple Additive Weighting (SAW) method to assess the severity of reported cases—categorized into mild, moderate, or severe. This system facilitates faster and more accurate decision-making during the investigation and handling phases. Functional and case testing resulted in 100% success, aligning perfectly with manual calculations and real-world scenarios. The urgency of this research lies in the pressing need for a reporting system that is not only reactive but also proactive in preventing sexual violence. The application demonstrates strong potential to support systemic reform in campus reporting mechanisms, enhance victim trust in reporting processes, and shift the paradigm from reactive intervention to preventive action. Ultimately, this research contributes to building a safer, more responsive, and survivor-centered campus environment.
Implementation of a Web-Based Skincare Decision Support System using the Simple Additive Weighting Method Trisdiatin, Sausan; Wahyuni, Elyza Gustri
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.5505

Abstract

The challenge of selecting skincare products that match individual skin conditions often leads to confusion among users, especially due to the vast array of products available on the market. This study aims to assist users in choosing the most suitable local skincare products based on several criteria: skin concerns, skin type, price range, number of items in a set, and sales ratings. The method used is the Simple Additive Weighting (SAW) technique, which calculates the suitability level of each product alternative against the defined criteria to generate a ranked list of the most appropriate products. The system was developed using the Rapid Application Development (RAD) approach, which emphasizes rapid prototyping and iterative implementation. It was built as a web-based application using PHP, MySQL, HTML, CSS, JavaScript, and Bootstrap 5. Skincare product data were collected through web scraping from the Shopee platform, including information such as price, set completeness, and sales ratings. All data were verified for validity using BPOM certification and halal labels. The results of the study indicate that the decision support system can recommend up to three top local skincare products tailored to user preferences, complete with pricing, images, and brief descriptions—without displaying numeric scores. Functional testing confirmed that all features operated correctly, and a User Acceptance Test (UAT) yielded an average satisfaction score of 94%, indicating strong user acceptance. In conclusion, this system serves as a valuable digital tool to accelerate decision-making in skincare selection, reduce the risk of product mismatch, and improve both the efficiency and adoption potential of local skincare products based on user preferences in an online environment.
Co-Authors Adhin Alifarchan Aditya, Silfa Kurnia Ahmad Syahriza Ramadhan Anggraini, Nadia Rahmi Nur Aswal Chusnan Widodo Athiya Mutiara Denasfi Baharuddin, Mohd Hafiz Erna Retno Wukiratun Fadhillah Abriyani Fadhillah, Lalam Fathonah Farhan Mozart Aditya Fahreza Fatimah Shalehah Fayruz Rahma Firman Kurnianto Joko Susilo Karimah, Karimah Kholid Haryono Kurniawan, Ricky Linda Rosita Lizda Iswari Maria Ulfa Muhammad Zufar Al Rafif Nadya Khairunnisa Nikmah, Za Idatin Nurul Fatikah Muchlis Pratiwi, Anis Prinanda, Zetram Adhitya Putra, Arya Nanda Mahardika Ramadhan, Ahmad Syahriza Ramadhana Bagus Solichuddin Sri Kusumadewi sri mulyati Tamiri, Muhammad Husni Tito Yuwono, Tito Trisdiatin, Sausan Vedamurti Nuur Anisah Wahyudi, Rian Tri Widodo Prijodiprodjo Wijoyo Budi Prasetyo Zhivomirov, Hristo