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The Method User Experience Questionnaire Analysis of Identitas Kependudukan Digital Application Farlian, Galang Fachrul; Ridwansyah, Ridwansyah
Paradigma - Jurnal Komputer dan Informatika Vol. 25 No. 2 (2023): September 2023 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v25i2.2353

Abstract

User Experience (UX) becomes important to explore and fulfill the needs for developing user-focused applications or products. The problems that exist to measure the level of user experience in the Digital Resident Identity (IKD) application and complaints submitted by users tend to lead to system and service quality problems in the IKD application. Then research purposes are assessed to evaluate the extent to which users can utilize and interact with the application. The method used by researchers is the User Experience Questionnaire (UEQ). UEQ is a widely used scoring methodology used to quantitatively measure user experience by administering a questionnaire to individuals that measures their subjective experiences and perceptions. Variables in UEQ, namely: efficiency, perspicuity, dependability, novelty, stimulation, and interestingness. The evaluation results of user experience in IKD applications using UEQ showed that there were 5 variables that received positive evaluation results, including attractiveness variables (mean 2.14), clarity variables (perspicuity) (mean 1.725), efficiency variables (efficiency) ( mean 1.725), accuracy variable (mean 1.525), and stimulation variable (mean 1.475). Whereas the novelty variable (mean 0.602) gets neutral evaluation results. From these results it can be used by IKD application developers to improve the user experience (user experience) of IKD applications on novelty variables by improving the appearance of applications that are more creative, inventive, and also cutting edge. The developer can pay attention to the recommendations that have been presented in this study. Parties who wish to conduct further research can use other evaluation methods such as Heuristic Evaluation.
PENGARUH HARGA SUKUK NEGARA RITEL SR021, YIELD IMBAL HASIL SUKUK DAN MINAT INVESTASI TERHADAP PERMINTAAN SUKUK NEGARA RITEL SR021 DI INDONESIA Rizkyansyah, Muhamad; Ridwansyah, Ridwansyah; Rifan, Dinda Fali
FIDUSIA : JURNAL KEUANGAN DAN PERBANKAN Vol 9, No 1 (2026): APRIL
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jf.v9i1.2957

Abstract

This study aims to analyze the effect of the price of Retail Government Sukuk SR021, sukuk yield, and investment interest on the demand for Retail Government Sukuk SR021 in Indonesia. The method used is multiple linear regression analysis with the assistance of Eviews 13 software. The results show that sukuk prices have a negative effect on demand, meaning that an increase in price tends to reduce investors' interest in purchasing sukuk. Conversely, yield has a positive effect on demand, indicating that the rate of return is a primary consideration for investors in making investment decisions. Meanwhile, investment interest does not have a significant effect on sukuk demand, although most respondents demonstrate a relatively high level of interest. This suggests that portfolio preferences and other rational considerations are more dominant in determining investment decisions. From an Islamic economic perspective, demand is not only influenced by price and profit factors but also reflects ethical values, spirituality, and social responsibility in economic activities. Thus, this study confirms that rational economic factors and Islamic values play a role in shaping demand for government sukuk.
Digital Image-Based Chili Quality Detection Using a Web-Based Convolutional Neural Network Purnama, Jajang Jaya; Rahayu, Sri; Ridwansyah, Ridwansyah; Riyanto, Verry
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.453

Abstract

ABSTRACT Chili is one of the main horticultural commodities in Indonesia, with high economic value and stable market demand. Accurate determination of chili quality levels is an important factor in maintaining quality, selling price, and distribution efficiency. Until now, the process of assessing chili quality has generally been carried out manually through direct visual inspection by experts or field officers. This traditional approach has limitations, such as varying levels of accuracy due to assessor subjectivity and the limited availability of experts. Advancements in digital image processing technology, particularly deep learning, offer opportunities to develop more accurate and consistent automated detection systems. This study proposes a Convolutional Neural Network (CNN) model to classify chili quality levels based on digital images, which is then integrated into a web-based application. This study uses a dataset of 405 chili images from 11 varietal categories, each labeled with quality (good, pest-infested, or unknown), which undergoes preprocessing stages including resizing, normalization, and data augmentation. The CNN model was designed with convolutional layers, max-pooling, dense layers, and a Softmax activation function, and was trained using the Adam optimizer and Categorical Cross-Entropy Loss. The web application implementation was carried out using the Flask framework, allowing users to upload images and obtain prediction results in real time. The testing results showed that the developed CNN model achieved an accuracy of 1.000 on the test data, with reliable detection performance under variations in lighting and image backgrounds. This research contributes to the development of smart agriculture technology by providing an accurate, fast, and easily accessible solution for chili quality detection
Co-Authors Abdul Hamid Adris Ade Putra Ahmad Mujahid, Ahmad Alayzha, Vivi Nur Alfian, Achmad Ali, Karnila Allimmah, Khoirunnisa Nurul Amelia, Merry Amrina, Dania Hellin Andi Saryoko ANGGUN RACHMAWATI, ANGGUN Anip Dwi Saputro, Anip Dwi Anus Wuryanto Ardini Saptaningsih Raksanagara, Ardini Saptaningsih Arisca, Nurmalita Asep Wasid Asnawati Asnawati Ayasar, Prayogi Putra Bahar, Muh. Mahdinul Baharuddin, Andi Rakhmat Debi Irawan Dinda Fali Rifan Djawad , Yasser Abd Elisa Julianti Era Yusraini Erike Anggraeni Ersi Sisdianto Esty Purwaningsih Evendi, Rustam Faika, Siti Faizah, Siti FARAH FAHMA Farhana, Nur Laila Farlian, Galang Fachrul Fatma Lestari Fortuna, Salsabila Mutia Fortuna, Salsabilla Mutia Ganda Wijaya, Ganda Ganggang Canggi Arnanto Gianova, Erin Gusti, Wahyu Ramadhani Gustika Nurmalia Hafis Nurdin Haripuddin . Haris Herdiansyah, Haris Hendra Jaya Heni Noviarita Herfina, Inne Dwi Herlambang, Saifuddin Herliawan, Irwan Idris, Maruf Idris, Ma’ruf Ifna, Nur Ifna Imam Nawawi, Imam Indah Ariyati Indayani Indra Sukma, Indra Irfansyah, Nanda Irmawati Carolina Ispandi Ispandi, Ispandi Jajang Jaya Purnama Jhody Wiraputra Juwita, Safna Kahfi, Ahmad Hafidzul Khaswar Syamsu Kresna Ramanda Labusab, Labusab Lasmiatun, KMT Latifah Latifah Lawelendo, Lawelendo Mantasia Mantasia Marariza, Helma Mayzal, Tiondon Meilissa Ayu Pratiwi Mia Selvina Moh. Muslih Monalysa, Lita Muhammad Iqbal Fasa Mustamin Mustamin Mutahharah Hasyim, Mutahharah Naffati, Abdel Kadir Nawawi, Hendri Mahmud Northa Idaman Nugraha, Fitra Septia Nurhasmi Nurhasmi Nursalma, Intan Nusasenjaya, Radite Okta Sari Okta Supriyaningsih Oky Kurniawan Pariabti Palloan Ponta, Tasri Pratama, Reza Hardian Priyatama, I Made Dananjaya Purnama Soiswaty, Dwi Purwadhi Purwadhi Purwoko, Reza Yuridian Ramadhani, Mutiara Ramdani, Nico Razimi, Mohd Syahril Ahmad Resti Lia Andharsaputri Retno Sari Rian Andriani, Rian Rima Melati Risal, Ahmad Risnandar, Risnandar Rizki, Marisa Rizkyansyah, Muhamad RIZQINA, AULIA LAILY Rosyda, Susy Ruray, Titiek Arafiani Sabril, Aulia Samad, Putri IS Samman, Muhammad Sanusi, Dirga Kaso Sari, Defya Sari, Yetri Martika Sari, Yuniar Sartika Setiawan, Zunan SRI RAHAYU suhaeb, Sutarsi Suhartono sulis, sulistiawaty sulis, sulistiawaty - Supriadi Supriadi Suprianingsih, Okta Susanto, Is Susy Rosyida Tauhidin Abas, Totoh Terip Karo-Karo Theresia Santi, Theresia Titi Candra Sunarti Toto Haryanto Tubarad, Chara Pratami Tidespania Tyas, Prayoga Ning Usman Usman Verry Riyanto Wahrini, Retyana Wahyu Iryana Weny Rosilawati Wiraputra, Jhody Yahya, Haidar Silmi Yunita Sari