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All Journal Infotech Journal Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Siska
Universitas Singaperbangsa Karawang
Computer Science & IT Decision Sciences, Operations Research & Management

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PERANCANGAN UI/UX FITUR MENTOR ON DEMAND MENGGUNAKAN METODE DESIGN THINKING PADA WEBSITE SKILVUL Ririn Nur Fauziyah; Dadang Yusup; Siska
INFOTECH journal Vol. 9 No. 2 (2023)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v9i2.5928

Abstract

Skilvul merupakan sebuah platfrom Pendidikan Teknologi yang menyediakan konten pembelajaran digital serta berbagai macam layanan salah satunya pembelajaran kursus online, yang dimana layanan Pembelajaran kursus online dikatakan belum efektif karena masalah yang terdapat pada layanan pembelajaran kursus online yaitu skala perbandingan antara mentor dengan peserta yang besar sehingga dalam berkomunikasi secara satu per satu antara mentor dengan peserta menjadi terbatas. Hal tersebut membuat peserta menjadi kesulitan dalam menguasai materi yang diberikan oleh mentor serta peserta juga terkadang merasa tidak dibimbing. Berdasarkan permasalahan diatas perlu adanya layanan fitur mentor on demand yang dapat membantu peserta dalam memesan sesi mentoring secara private dengan mentor. Dalam perancangan UI/UX fitur mentor on demand menggunakan metode design thinking lalu dalam pengujian menggunakan SEQ dan SUS. Hasil dari penelitian ini menghasilkan prototype rancangan fitur mentor on demand dan pada tahap pengujian SEQ mendapat nilai 96% dan SUS mendapat nilai rata-rata 80 dengan kategori Acceptable Excellect.
Perancangan UI/UX Prototype Aplikasi Dompet Digital Menggunakan Metode Design Thinking Muhammad Fiqri Widiyantoro; Taufik Ridwan; Nono Heryana; Apriade Voutama; Siska
JURNAL FASILKOM Vol 13 No 02 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i02.5265

Abstract

Along with the rapid development of technology in all sectors, technological developments also have an influence on the digitization of cash. The community has been facilitated by digital wallet technology. The use of digital wallets itself is increasing rapidly and many new companies are establishing businesses in this field. This is because many people think that using digital wallets is a more practical way and also to reduce the number of transmission of the COVID-19 virus from cash. The purpose of the research is to designing prototype of digital wallet that can support technological advances in Indonesia and help people to facilitate their lives by making non-cash transactions, so they don't bother to carry cash everywhere. The method used in this study is Design Thinking, where Design Thinking has 5 stages in interface design, namely empathize, define, ideate, prototype and test stages. The results of this study were obtained by evaluating the interface design that has been created with the System Usability Scale (SUS) and User Experience Questionnaire (UEQ). SUS in the study produced a value of 74, which means the prototype is acceptable and meets the criteria of user needs. Meanwhile, the UEQ obtained in this study produced average results above 0.8 which means that aspects of attractiveness, clarity, efficiency, accuracy, stimulation, and novelty managed to be at a positive evaluation level, and the benchmark results in UEQ also showed that the prototype received an Excellent score in the aspects of Attractiveness, Stimulation and Accuracy, but for aspects of Clarity, Efficiency, and Novelty gets a Good grade. From the results of benchmark measurements using the UEQ questionnaire, it can be concluded that the SiDoempet prototype has a very good benchmark level overall.
K-MEANS CLUSTERING OF INDONESIAN BANKING STOCKS USING FINANCIAL RATIOS Fajar Rizki Aditiya; Nina Sulistiyowati; Siska
Jurnal Techno Nusa Mandiri Vol. 23 No. 1 (2026): Techno Nusa Mandiri : Journal of Computing and Information Technology Period o
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/dfsypr32

Abstract

This study aims to classify banking sector issuers listed on the Indonesia Stock Exchange based on financial ratios, namely Return on Assets (ROA), Return on Equity (ROE), and Loan to Deposit Ratio (LDR), to assist investors in analyzing financial performance and making more objective investment decisions. The method used in this study is Knowledge Discovery in Databases (KDD) with the K-Means clustering algorithm. The dataset was obtained from the annual financial reports of 25 banking issuers for the period 2022–2024. The research stages consist of data selection, data cleaning, data transformation, data mining, and interpretation/evaluation. In the transformation stage, the average values of ROA, ROE, and LDR were calculated and normalized using the Min-Max method. The optimal number of clusters was determined using the Elbow method, while cluster quality was evaluated using the Silhouette Coefficient. The results indicate that the optimal number of clusters is three with a Silhouette Coefficient value of 0.5946. The clustering results consist of a dominant cluster containing 22 issuers with relatively stable financial performance, a second cluster consisting of two issuers characterized by higher lending activity and relatively higher risk, and a third cluster containing one issuer with significantly lower financial performance. These findings reveal latent patterns among banking issuers that may not be easily identified through conventional ratio analysis and provide a clearer structural overview of banking sector performance to support investment evaluation. These insights provide a clearer structural overview of the banking sector and may assist investors in identifying banks with comparable financial risk and performance profiles.
Co-Authors Apriade Voutama Dadang Yusup Fajar Rizki Aditiya Heryana, Nono Muhammad Fiqri Widiyantoro Nina Sulistiyowati Ririn Nur Fauziyah Taufik Ridwan