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Wirdayanti
Universitas Tadulako
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Usability Analysis of The Student Service Information System at The Faculty of Engineering Tadulako University Using Heuristic Evolution and The System Usability Scale (SUS) Noviantika, Noviantika; Syahrullah, Syahrullah; Laila, Rahma; Lapatta, Nouval Trezandy; Wirdayanti, Wirdayanti
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 1 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3532

Abstract

The Student Service Information System is defined as a system designed to assist students, faculty, and administration at Tadulako University's Faculty of Engineering in managing various academic aspects. This research identifies issues or obstacles users face while utilizing the website. The usability evaluation employs the Heuristic Evaluation method and the System Usability Scale (SUS). Based on the research conducted with 100 respondents, all active students at Tadulako University, the usability measurements revealed significant findings. According to the Heuristic Evaluation method, which utilizes 10 principles, areas requiring improvement were identified in qualifications B1.2, B3.3, B8.2, B10.2, and B10.3. Recommendations for enhancements include adding a notification feature, ensuring the search function is easily discoverable, selecting appropriate color combinations, and improving the placement of the user guide. The System Usability Scale yielded a score of 50, categorizing the website as "OK" on the adjective scale, "D" on the grade scale, and "Marginal" on the acceptability scale, with a net promoter score indicating a "Passive" reception.
Optimizing User Interface of MBKM Information System & Academic Services using Design Thinking Method (Case Study: Tadulako University) Reinaldy Mansa, Jeremy; Anggun Pratama, Septiano; Wirdayanti, Wirdayanti; Angreni, Dwi Shinta
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.676

Abstract

This study addresses the usability challenges faced by Tadulako University's MBKM & Academic Services Information System (SITAMPAN), developed in response to the Ministry of Education’s Merdeka Belajar - Kampus Merdeka (MBKM) initiative. By applying a structured Design Thinking approach, this research seeks to present a novel solution for enhancing user experience and system usability in educational information systems. Through the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) evaluations, initial findings indicated a low usability score (SUS: 41.75, grade "F"), categorizing the system as a "Detractor" in the Net Promoter Score (NPS) framework. Following the implementation of user centered design improvements, the SUS score increased substantially to 86.25 ("A" grade), with NPS shifting to a "Promoter" classification, while UEQ scores showed marked improvement across all metrics. This study demonstrates the effectiveness of Design Thinking in systematically addressing and optimizing the user experience, providing valuable insights for future information system developments in educational contexts.
Donor Segmentation Analysis Using the RFM Model and K-Means Clustering to Optimize Fundraising Strategies ., Rezki; Lapatta, Nouval Trezandy; Ardiansyah, Rizka; ., Wirdayanti; Angreni, Dwi Shinta
Journal of Applied Informatics and Computing Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i2.8464

Abstract

This study aims to segment donors using the Recency, Frequency, Monetary (RFM) model and the K-Means algorithm to optimize fundraising strategies. The RFM model is used to measure donor engagement through three dimensions: Recency (the last time a donation was made), Frequency (the frequency of donations), and Monetary (the amount of donations). By utilizing RFM scores, donors are then grouped using the K-means algorithm to generate more specific donor segments. This study was conducted using donation data from a non-profit organization, focusing on strategies to improve donor loyalty and donation frequency. The segmentation results identified several key segments, including Loyal Donors, New Donors, Potential Donors, and Low-Priority Donors. Each segment exhibits different donation behavior characteristics and requires a different strategic approach. The implementation of these segmentation results is expected to help the organization design more effective communication strategies and donation programs, as well as improve donor retention and lifetime value. Additionally, this study identifies the potential for enhancing the analytical model for broader applications in the future. This research contributes to non-profit organizations by offering a more efficient approach to managing donor relationships.
Sistem Terpadu Web Dan Android Sebagai Inovasi Pemasaran Produk Umkm Dan Profil Bisnis Unggulan Kabupaten Sigi : Integrated Web and Android System as Product Marketing Innovation MSMEs and Leading Business Profiles of Sigi Regency Kade Dwi Arsana, I Gusti Ngurah Agung; Wirdayanti; Syahrullah; Ngemba, Hajra Rasmita; Hendra, Syaiful
Technomedia Journal Vol 9 No 2 Oktober (2024): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v9i2.2267

Abstract

The digital transformation era has fueled enthusiasm for digital living among Indonesian society, driven by the surging use of internet and smartphones. The digital economy has unlocked new opportunities for businesses and entrepreneurship, significantly boosting national economic growth. In this context, MSMEs (Micro, Small, and Medium Enterprises) play a pivotal role as the backbone of Indonesia's economy, holding immense potential to drive national progress. The year 2024 has been designated as the year of digital transformation for MSMEs, with a target of integrating 30 million MSMEs into the digital ecosystem. Sigi Regency, with its 30,554 MSMEs spanning diverse business sectors, is a key focus for the local government's efforts to digitize the MSME sector, aiming to enhance product quality, services, and global competitiveness. To achieve this goal, an integrated web and Android system is proposed, empowering MSMEs to independently manage product data and business profiles, creating a digital gallery to showcase the Sigi MSME catalog.
Pemberdayaan Masyarakat Melalui Program Desa Digital: Pengenalan dan Pelatihan Sistem Informasi Desa Yudhaswana, Yuri; Hendra, Andi; Ardiansyah, Rizka; Wirdayanti, Wirdayanti; Ngurah, Gusti
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v6i2.11974

Abstract

Transformasi digital pemerintah menjadi fokus utama untuk meningkatkan efisiensi dan transparansi pelayanan publik di Indonesia, sesuai dengan UU No. 6 Tahun 2014 tentang Desa dan Permendesa No. 7 Tahun 2021. Namun, penerapan teknologi digital di pedesaan masih menghadapi kendala, seperti keterbatasan infrastruktur dan rendahnya literasi digital aparatur desa. Desa Watumaeta, misalnya, kesulitan dalam mengelola informasi dan memberikan layanan secara efektif. Untuk mengatasi masalah ini, program “Pemberdayaan Masyarakat melalui Implementasi Program Desa Digital” dilaksanakan dengan pendekatan Technology Transfer. Program ini memberikan pelatihan intensif tentang penggunaan Sistem Informasi Desa (SID) untuk meningkatkan kapasitas teknis aparatur desa. Metode yang diterapkan meliputi analisis kebutuhan, pengembangan materi pelatihan, pelatihan langsung, evaluasi, serta pendampingan berkelanjutan melalui pendekatan transfer teknologi. Hasilnya menunjukkan peningkatan signifikan dalam keterampilan aparatur desa, efisiensi pengelolaan data, dan pelayanan publik berbasis digital. Desa Watumaeta diharapkan menjadi contoh desa digital yang transparan dan responsif.
Kampanye Anti-Bullying di Sekolah Nadhar, Muhammad; Abul Azis, Muhammad Dzaky; Irawan, Deni; Ardiansyah, Ardiansyah; Yanti, Alda; Wirdayanti, Wirdayanti
Journal Social Engagement: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 3 (2025): Mei 2025
Publisher : akultas Ilmu Sosial dan Ilmu Politik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55638/sosial.v1i3.270

Abstract

This research focusses on discussing anti-bullying campaigns with various efforts to increase students awareness of the negative impact of bullying and to create a safe and inclusive environment. The main focus on this research, through educational and participatory approaches, is that thos campaigns is expected to encourage students to activly paticipate and preventing bullying behaviour among students at SMP Negeri 35 Makassar in the Biringkanaya district of Makassar City. The government’s policy in preveenting bullying among high students by providing clear guidelines for school and involving students in policy-making. Keywords: Anti-Bullying Campaigns; Educational and Participatory; Policy-Making   Abstrak Penelitian ini berfokus membahas kampanye anti-bullying dengan berbagai macam upaya untuk meningkatkan kesadaran siswa tentang dampak negatif bullying dan menciptakan lingkungan aman dan inklusif. Fokus utama penelitian ini melalui metode pendekatan edukatif dan partisipatif, kampanye ini di harapkan dapat mendorong siswa untuk berperan aktif  dalam mencegah perilaku bullying di kalangan SMP Negeri 35 Makassar di kecamatan Biringkanaya, Kota Makassar. Kebijakan pemerintah dalam mencegah bullying di kalangan siswa SMA dengan memberikan panduan yang jelas bagi sekolah, dan melibatkan siswa dalam pembuatan kebijakan. Kata Kunci: Kampanye Anti-Bullying; Edukatif dan Partisipatif; Pembuatan Kebijakan
The Image Extraction Using the HSV Method to Determine the Maturity Level of Palm Oil Fruit with the k-nearest Neighbor Algorithm Mohammad Yazdi Pusadan; Indah Safitri; Wirdayanti
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5558

Abstract

The oil palm is one of the monocot oil-producing plants in Indonesia. Sorting errors in oil palm fruit are caused by a sorter error when distinguishing the color of ripe and immature oil palm fruit. In addition to inefficient time, the area of oil palm plantations is also a factor that causes the sorter to make mistakes in sorting. This study aims to produce a system that can classify the maturity of oil palms based on feature extraction of characteristics of the hue, saturation and value (HSV) color features. The HSV method is used to produce color characteristics from the image of the oil palm fruit. Classification of oil palm fruit maturity is classified using the K-Nearest Neighbor (KNN) algorithm with a dataset of 400 oil palm fruit image data with a data sharing ratio of 70% training data and 30% test data. 280 image data were used as training data, divided into 140 image data of ripe oil palm fruit, 140 image data of immature oil palm fruit and 120 image data of oil palm used as test data which is divided into 60 image data of ripe oil palm and 45 unripe palm oil. Based on the result of tests that have been carried out using a confusion matrix with varied k values, namely, 5 and 7, the average precision is 94.16%.
Implementation of ResNet-50-Based Convolutional Neural Network For Mobile Skin Cancer Classification Asriani, Asriani; Lapatta, Nouval Trezandy; Nugraha, Deny Wiria; Amriana, Amriana; Wirdayanti, Wirdayanti
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9696

Abstract

The skin is one of the most important parts of the human body, serving vital functions such as protecting internal organs from injury, shielding against direct bacterial exposure, regulating body temperature, and more. However, the skin is also susceptible to diseases, one of which is skin cancer. Skin cancer can be extremely dangerous if not treated promptly, as it can lead to death. Therefore, early detection is crucial. This study proposes a technology-based solution by classifying skin cancer using a convolutional neural network (CNN) with a ResNet50 architecture implemented into a mobile application via a REST API using Flask. The HAM10000 dataset, consisting of 10,015 skin lesion images across seven classes, was used for model training. Various testing scenarios were conducted to determine the optimal parameter combination. The best results were achieved with an accuracy of 83.84%, precision and recall of 83%, and an F1-score of 83%, using a training data configuration of 70%, dropout of 0.4, and a batch size of 64. The model implemented in this Android application can perform early detection of skin cancer quickly, practically, and easily accessible to the general public, though healthcare professionals must still supervise it. However, although this model can assist users in making early predictions, the prediction results from this model are only a tool for early detection and do not replace clinical diagnosis by professional medical personnel.2) Figure 8 shows the display for taking pictures through the gallery or camera. Users can choose the image they want to upload from the gallery or the camera to be analysed and predicted by the model.
Faktor-Faktor Yang Berhubungan Dengan Kejadian Diabetes Melitus di Puskesmas Kecamatan Tomoni Kabupaten Luwu Timur Nirwan, Nirwan; Warsid, Aisyah; Wirdayanti, Wirdayanti; Sari, Rafika; Semmagga, Nuraeni
Jurnal Promotif Preventif Vol 6 No 6 (2023): Desember 2023: JURNAL PROMOTIF PREVENTIF
Publisher : Fakultas Kesehatan Masyarakat Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jpp.v6i6.1041

Abstract

Penyebaran diabetes melitus (DM) menjadi permasalahan yang meluas karena tingginya prevalensinya, dampak finansial yang signifikan dan Tingkat morbiditas yang besar. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan kejadian diabetes melitus di Puskesmas Kecamatan Tomoni Kabupaten Luwu Timur. Penelitian ini merupakan penelitian kuantitatif dengan rancangan penelitian yang digunakan adalah survei analitik dengan menggunakan pendekatan Cross Sectional. Populasi dalam penelitian ini adalah seluruh pasien yang berkunjung melakukan pengobatan di Puskesmas Kecamatan Tomoni sebanyak 2.444 orang dengan sampel berjumlah 96 orang. Cara pengambilan sampel menggunakan teknik Accidental Sampling dan dikumpulkan dengan menggunakan kuesioner. Analisis data penelitian menggunakan uji Chi-Square dengan tingkat kepercayaan 95%. Hasil uji statistik menunjukkan bahwa ada hubungan umur dengan kejadian diabetes melitus (p-value = 0,000), ada hubungan keturunan/riwayat keluarga dengan kejadian diabetes melitus (p-value = 0,000), ada hubungan pola makan dengan kejadian diabetes melitus (p-value = 0,000). Disarankan kepada tenaga kesehatan agar meningkatkan upaya promotif dan preventif untuk meningkatkan kewaspadaan pada masyarakat tentang penyakit diabetes melitus.
Usability and User Experience Evaluation on Extracurricular Website (SINEMA) Implementation using SUS and UEQ Methods Wirdayanti; AKBAR, MUHAMMAD; Sabarudin Saputra; Deni Luvi Jayanto; Sri Khaerawati Nur; Nouval Trezandy; Bakri
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i2.57

Abstract

The rapid integration of web-based platforms in higher education highlights the importance of usability and user experience in supporting students’ extracurricular activities. This study evaluates the usability and user experience of the Student Extracurricular Information System (SINEMA) developed at Tadulako University. A total of 99 respondents participated, selected from a population of 5,581 active users through Slovin’s formula. Two standardized instruments were applied: the System Usability Scale (SUS) to capture global usability perceptions and the User Experience Questionnaire (UEQ) to assess six dimensions of user experience. The SUS results indicate a mean score of 76.06, which falls within Grade B and the “Good” category, exceeding the global benchmark. This suggests that the system is generally usable, although certain respondents reported minor challenges requiring further improvement. The UEQ results show that Perspicuity (1.94), Dependability (1.94), and Stimulation (1.93) achieved the “Excellent” category, reflecting clarity, reliability, and engagement. Meanwhile, Attractiveness (1.65), Efficiency (1.58), and Novelty (1.72) were rated “Good,” highlighting positive perceptions but also opportunities for optimization. Overall, the findings demonstrate that SINEMA effectively supports extracurricular management with satisfactory usability and strong user experience. The study contributes novelty by integrating SUS and UEQ for comprehensive evaluation within a higher education extracurricular context. Recommendations include enhancing efficiency and novelty to elevate user satisfaction and system adoption.
Co-Authors ., Rezki A. Masse, Burhannudin Abul Azis, Muhammad Dzaky Aisyah Warsid Amriana Amriana Amriana Amriana Andi Hendra Anita Ahmad Kasim ARDIANSYAH ARDIANSYAH Ardiansyah, R Asmaul Husna Asriani Asriani, Asriani Bakri Budiman, Wahyu Deni Irawan, Deni Deni Luvi Jayanto Deny Wiria Nugraha Dessy Santi Dwi Shinta Angreni Eka Ilhamni Fera Sawita Hajra Rasmita Ngemba Ihalauw, Sahron Angelina Indah Safitri Jonathan Zebina Laala Kade Dwi Arsana, I Gusti Ngurah Agung Laila, Rahma Lamasitudju, Chairunnisa Masykur, M Miftah Miftah Miftah, Miftah Mohammad Yazdi Pusadan Mufthi, Mufthi Muhammad Akbar MUHAMMAD BAKRI Nadhar, Muhammad Ngurah, Gusti Nirwan Nirwan Nouval Trezandy Lapatta Noviantika, Noviantika Nursalim, Moh. Agung Nursiana Zasqia, Andi Nirina Qofifa, Sitti Nurlaili Rafika Sari Rahmah Laila Rahmah Laila Reinaldy Mansa, Jeremy Rinianty, Rinianty Rizka Ardiansyah Rizqa Raaiqa Bintana Ryfial Azhar Sabarudin Saputra Saragih, Linda Hertaty Semmagga, Nuraeni Septiano Anggun Pratama Sri Khaerawati Nur Suryani Putri, Fadiah Suzanna Fitri Syafa'at, Fizar Syahrullah Syahrullah Syahrullah Syaiful Hendra Tria Meisya Aziti Wahyu Setiawan Wongkar, Noel Marcell Jonathan Yanti, Alda Yuri Yudhaswana Joefrie Yusuf Anshori