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All Journal SMARTek MEKTEK Foristek Jurnal MEKANIKAL JURNAL SISTEM INFORMASI BISNIS Jurnal Teknologi dan Manajemen Informatika Bulletin of Electrical Engineering and Informatics Telematika : Jurnal Informatika dan Teknologi Informasi MEKTRIK CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research SemanTIK : Teknik Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) ILKOM Jurnal Ilmiah Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal EDUMATIC: Jurnal Pendidikan Informatika ScientiCO : Computer Science and Informatics Journal Sains, Aplikasi, Komputasi dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) TIN: TERAPAN INFORMATIKA NUSANTARA Teknika Jurnal Locus Penelitian dan Pengabdian Jurnal Algoritma Eduvest - Journal of Universal Studies Indonesia Berdampak: Jurnal Pengabdian Kepada Masyarakat
Deny Wiria Nugraha
Universitas Tadulako
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SISTEM PENENTUAN RUTE PENDISTRIBUSIAN PRODUK AIR MINERAL MENGGUNAKAN ALGORITMA ANT COLONY SYSTEM Nugraha, Deny Wiria; Erwin Dodu, Albrecht Yordanus; Septiana, Stevi
ILKOM Jurnal Ilmiah Vol 11, No 2 (2019)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i2.418.86-94

Abstract

The problem of determining distribution routes can be categorized as Traveling Salesman Problem (TSP). TSP is a search for a sequence of locations where a salesman travels from the initial location to a list of locations which must be passed. Each location can only be visited once and ends at the initial location of departure. This study aims to resolve the problem of determining the distribution route for mineral water products at PT. Anugerah Wina Sentosa by implementing the Ant Colony System (ACS) algorithm to conduct route searches. The ACS algorithm is an algorithm adopted from the behavior of ants to determine the shortest route from the nest to the food source. Based on the research, the results of the ACS algorithm show that the greater the case to be resolved will affect the system execution time but still can produce the best distance route. The success of this algorithm is influenced by the determination of the value of the ACS parameter, namely β, qo, q, α, ?, the number of ants and the number of ant cycles determined by analyzing the TSP case to be resolved.
Analysis of the MTSN 2 Poso Education Data Collection System Using the Cognitive Walkthrough Method Rizaldi Agil Faturrahman; Amriana Amriana; Deny Wiria Nugraha; Rizka Ardiansyah; Dessy Santi
Eduvest - Journal of Universal Studies Vol. 6 No. 5 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i5.52335

Abstract

This study examines the usability of the EMIS 4.0 website at MTsN 2 Poso using the Cognitive Walkthrough method. The increasing implementation of digital education management systems requires educational institutions to ensure that information systems are efficient, user-friendly, and capable of supporting accurate educational data management. However, several users of EMIS 4.0 still experience difficulties operating the system, particularly when completing administrative tasks. Therefore, this research aims to evaluate the usability level of EMIS 4.0 by identifying task completion success, user errors, efficiency, and user experience during system interaction. This study employed a quantitative usability evaluation approach using the Cognitive Walkthrough method. Data were collected from 20 teachers and education personnel selected through purposive sampling. Respondents were asked to complete seven task scenarios related to the use of EMIS 4.0. The results showed that the task completion rate reached 85%, while the error rate was 26%. Several tasks, such as updating employment data, uploading attendance documents, and printing portfolios, required longer completion times than other tasks. The time-based efficiency score obtained was 0.0272 goals/second. The findings indicate that EMIS 4.0 still requires improvements in interface design, feature accessibility, and server performance. In conclusion, the Cognitive Walkthrough method effectively identified usability problems and provided recommendations for improving the usability and user experience of the EMIS 4.0 system.
Integrasi YOLOv12 dan Konveyor Belt Untuk Mendeteksi dan Menyortir Kerusakan Kaleng Cat Secara Otomatis Usama; Deny Wiria Nugraha
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3390

Abstract

This study aims to develop an automated system for inspecting and sorting defects in paint cans based on the integration of deep learning and a conveyor belt to improve the efficiency and consistency of quality control in the industry. The methods used include the design of a mechanical conveyor system, the integration of electronic circuits, and the development of an object detection model using YOLOv12 with a multi-camera configuration to minimize blind spots. The dataset consists of 1,209 images divided into training, validation, and test sets, with data augmentation applied to improve model robustness. Evaluation was conducted using precision, recall, F1-score, and mAP metrics, along with end-to-end system testing based on sorting accuracy, latency, and throughput under various lighting conditions and conveyor speeds. The research results show that the model achieved a precision of 0.98, a recall of 0.96, an F1-score of 0.97, and an mAP50–95 of 0.96. However, the system implementation yielded a sorting accuracy of 55.6% with optimal performance at moderate speeds, indicating a significant influence of operational factors on the system’s overall performance.
Descriptive¬¬–Interpretative Evaluation of SIMONEVA Palu Usability and User Experience Using Cognitive Walkthrough (CW) and User Experience Questionnaire (UEQ) Aisyah Syahskiah Sunandar; Deny Wiria Nugraha
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 2 (2026): MAY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i02.2628

Abstract

The Monitoring and Evaluation Information System (SIMONEVA) plays an important role in supporting regional development, but it often generates user complaints and has not been systematically evaluated. This research evaluates the usability and user experience of SIMONEVA Palu and analyzes the descriptive-interpretative relationship between the severity of usability issues and user experience scores. The usability evaluation was conducted using the Cognitive Walkthrough (CW) method, involving 10 respondents, consisting of 5 long-term users and 5 new users, while the user experience measurement used the User Experience Questionnaire (UEQ) with 41 long-term users. The results of the descriptive-interpretative relationship analysis indicate that Attractiveness and Efficiency have critical usability issues (severity level = 4) with very low UEQ scores (0.04 and 0.20), while Dependability and Perspicuity have moderate issues (severity levels = 2.22 and 2.38) with low UEQ scores (0.09 and 0.12). The pattern found indicates that the higher the severity level of usability issues, the more negative the users' perception of the system. These findings emphasize that system evaluation needs to consider both operational barriers and users' subjective perceptions. Thus, the resulting recommendations are able to highlight interface areas that require improvement more specifically. This research is expected to contribute to the literature on government information system evaluation, particularly at the regional implementation level, which is still relatively limited.
ANALISIS PENERIMAAN PENGGUNA SP4N–LAPOR! DI DINAS KOMUNIKASI DAN INFORMATIKA PROVINSI SULAWESI TENGAH MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM) Natalia Warani; Deny Wiria Nugraha
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8016

Abstract

SP4N-LAPOR Public Complaint System! It is an important medium to convey people's complaints and aspirations to the government digitally. To ensure the impact of the ease of use and usefulness of the system on the intention to use the service, it is still necessary to assess the level of acceptance of the system's users. This study used a TAM approach to test the acceptance of SP4N-LAPOR! users. Questionnaires were distributed to SP4N-LAPOR! users in Central Sulawesi Province to collect research data. Validity tests, reliability tests, descriptive analysis, and simple linear regression are used in the analysis. With a contribution of the determination coefficient value (R²) of 20.2%, the findings show that the Perceived Ease of Use (PEOU) has a positive and significant influence on the Perceived Usefulness (PU). Furthermore, the Perceived Usefulness (PU) had a positive influence on Behavioral Intention (BI) 39.3% and the Perceived Ease of Use (PEOU) had a positive influence on Behavioral Intention (BI) 26.7%. These findings show that user acceptance of SP4N-LAPOR! It is greatly influenced by the perceived ease of use and perceived usefulness of the system.
SISTEM PERINGATAN DINI GEMPA DAN TSUNAMI MENGGUNAKAN ARTIFICIAL NEURAL NETWORK Wiwik Supriyatin; Moh. Eno Farhan; Syahrullah Syahrullah; Deny Wiria Nugraha; Yuri Yudhaswana Joefrie
Journal of Information System Management (JOISM) Vol. 8 No. 1 (2026): Juni
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2026v8i1.2484

Abstract

Penelitian ini bertujuan untuk meningkatkan keselamatan publik melalui penyediaan prediksi tsunami yang cepat dan andal dengan memanfaatkan algoritma Artificial Neural Network (ANN) dalam sistem berbasis web. Masalah utama yang diangkat adalah tingginya risiko kerugian material dan korban jiwa akibat keterlambatan informasi serta potensi false alarm pada pengolahan data konvensional. Metode penyelesaian dilakukan dengan menerapkan arsitektur jaringan saraf ANN (susuna lapisan layer 9-10-8-1) yang mengolah parameter Magnitudo, Kedalaman, Jarak ke Pantai, serta Jenis Patahan sebagai input utama. Hasil perancangan menunjukkan performa sistem yang sangat presisi, dibuktikan dengan perolehan nilai Error Akhir sebesar 0,004950 pada iterasi ke-58 yang merepresentasikan tingkat akurasi pelatihan mencapai 99,50%. Selain itu, pengujian pada skenario gempa Magnitudo 7.5 menghasilkan Probabilitas Tsunami sebesar 93,38% dengan tingkat kepercayaan tinggi. Integrasi ANN dalam platform web ini terbukti mampu menyediakan informasi yang terstruktur, akurat, dan ramah pengguna sebagai instrumen krusial dalam pengambilan tindakan tanggap bencana yang efektif.
Usability Evaluation of the SanguPalu E-Government Mobile Application Using PSSUQ and UMUX: a Case Study in Palu Mohammad Hikmal Naki; Deny Wiria Nugraha
Teknika Vol. 15 No. 1 (2026): March 2026
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v15i1.1417

Abstract

The SanguPalu mobile application is a e-government digital service platform developed by the Palu City Government to enhance accessibility, transparency, and efficiency in public service delivery. Despite its comprehensive features, user feedback indicates issues related to interface clarity, navigation efficiency, and system consistency, suggesting potential usability problems. This study aims to evaluate the usability level of the SanguPalu application using a descriptive quantitative approach integrating the Post-Study System Usability Questionnaire and the Usability Metric for User Experience. Data were collected from 118 active users through an online survey. Usability was assessed using average scores of PSSUQ subscales and a global UMUX score. The results show that system usefulness achieved a score of 2.87 (upper limit), while information quality obtained a score of 2.87 (lower limit). Interface quality recorded the highest score of 3.09 (above upper limit), indicating the most critical usability issue. The overall PSSUQ score was 2.93 (upper limit). The UMUX analysis produced a score of 65.20, reflecting a marginal-to-high usability level consistent with the PSSUQ findings. By combining subscale-specific and global usability measurements, this study offers a more nuanced understanding of usability issues in a local government mobile application context. These findings indicate that while SanguPalu adequately supports core service functions, improvements in interface design and navigation structure are essential to strengthen user satisfaction and overall service quality.
Evaluation of E-VAKU Application Usability using System Usability Scale and Cognitive Walkthrough Methods I Made Reyvinno Dirga Narke; Deny Wiria Nugraha
SISTEMASI Vol 15, No 2 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i2.5845

Abstract

The Central Sulawesi Provincial Government, in line with digital transformation and e-government initiatives, has implemented the E-VAKU application (Electronic Financial Accountability Verification). This digital system is designed to address bureaucratic challenges and enhance efficiency and transparency in the verification of regional financial accountability. Given that the success of an information system is strongly influenced by its usability, this study conducts a comprehensive usability evaluation of the E-VAKU application using a combination of two methods. The System Usability Scale (SUS) is employed to quantitatively measure user perceptions, while the Cognitive Walkthrough (CW) method is applied to identify specific issues within workflows and user interface interactions. The SUS evaluation produced an average score of 74.25, which falls into the “Good” category with a grade of B. Meanwhile, the CW analysis recorded a success rate of 90%, an error rate of 12%, and a time-based efficiency of 0.0205 tasks per second. The findings from both methods resulted in specific improvement recommendations, including interface redesigns for the onboarding, login, dashboard, and Payment Order (SPP) pages, as well as the addition of notification and search features. These enhancements aim to make the E-VAKU application more intuitive and user-friendly. This study is expected to serve as a practical reference for developers in refining the application to support more effective and optimal governance practices.
KLASIFIKASI JENIS KAYU BERDASARKAN CITRA SERAT KAYU MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Muhammad Rifaldi Dwimanhendra; Syahrullah Syahrullah; Yuri Yudhaswana Joefrie; Dwi Shinta Angreni; Ryfial Azhar; Deny Wiria Nugraha; Nouval rezandy Lapatta; Abdul Mahatir Najar
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5726

Abstract

Kayu merupakan sumber daya alam yang sangat penting bagi industri mebel atau furnitur. Pemilihan jenis kayu yang tepat sangat krusial dalam industri mebel untuk menentukan kualitas hasil produksi. Pemilihan kayu secara manual memiliki risiko kesalahan yang dapat berdampak negatif pada kualitas akhir produk mebel. Oleh karena itu, diperlukan penerapan teknologi untuk meminimalkan kesalahan pemilihan jenis kayu dan meningkatkan efisiensi proses produksi. Penelitian ini bertujuan membangun model klasifikasi jenis kayu (nantu, palapi, dan uru) berbasis Convolutional Neural Network (CNN) menggunakan citra serat kayu. Dataset terdiri dari 1.584 citra yang dibagi menjadi 80% data pelatihan dan 20% data pengujian. Arsitektur model CNN terdiri dari 4 lapisan konvolusi, 4 lapisan pooling, dan 2 lapisan fully-connected. Hasil pelatihan mencapai akurasi 97,06%, sedangkan hasil pengujian dan evaluasi menggunakan matriks konfusi mencapai akurasi 95,56%. Penelitian ini membuktikan bahwa CNN dapat digunakan secara efektif untuk klasifikasi jenis kayu dengan tingkat akurasi yang tinggi, sehingga dapat membantu meningkatkan efisiensi proses produksi mebel.
Smart measurement revolution using long range technology and HLW8012 sensor integration Isminarti Isminarti; Nanang Roni Wibowo; Asminar Asminar; Mohamad Ilyas Abas; Muhammad Ali Chandra; Nur Azhary Iriawan Eka Putra; Widya Wisanty; Fauziah Fauziah; Deny Wiria Nugraha; Chaira Saidah Yusrie
Bulletin of Electrical Engineering and Informatics Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i4.10823

Abstract

Long range (LoRa) has advantages compared to other communication systems such as power line control (PLC), narrowband internet of things (NB-IoT), and Sigfox. The advantage of low power consumption is the implementation and reliability of LoRa communication systems across all segments of smart grid (SG) and home automation applications. Parameters of the reliability of the communication system can also be seen from the maximum distance, signal strength, and network quality in indoor and outdoor conditions as well as different heights and levels of signal collisions when transmitted. This study aims to utilize unlicensed LoRa Shield SX1276 on the 915 MHz frequency spectrum for SG communication networks to monitor messages in the form of current, voltage, and power factor using the HLW8012 sensor. This research produces a complete LoRa communication system monitoring product according to the information needed by the user.
Co-Authors A.Y. Erwin Dodu A.Y. Erwin Dodu A.Y. Erwin Dodu Abdul Mahatir Najar Agustinus Kali Ahmad Ilham, Amil Aisyah Syahskiah Sunandar Amil Ahmad Ilham Aminuyati Amriana Amriana Amriana Amriana Amriana Amriana Andani Achmad Andi Hendra Andipa Batara Putra Angraeni, Dwi Shinta Ardiyansyah, Rizka Arief Pratomo Arief, Ardiaty Asminar Asminar Asri Arif Asriani Asriani, Asriani Asrul Sani Ayu Hernita Ayyub, Mohammad Azhar Baso Mukhlis Candriasih, Ni Kadek Chaira Saidah Yusrie Chandra, Ferri Rama Dessy Santi Dharmakirti, Dharmakirti Djohari, Riyandi Dwitama Dodu, A. Y. Erwin Dodu, A.Y Erwin Dwi Shinta Angreni Dwi Wijaya, Kadek Agus Dwiwijaya, Kadek Agus Erwin Dodu, Albrecht Yordanus Fajriyah, Nurul Fanny Astria, Fanny Fauziah Fauziah Hajra Rasmita Ngemba Hamid, Odai Amer Hasanuddin Hasanuddin I Made Reyvinno Dirga Narke Ihalauw, Sahron Angelina Imat Rahmat Hidayat Isminarti, Isminarti Jeprianto Rurungan, Jeprianto K. Julianto, K. Kalatiku, Protus P Krisna Rendi Awalludin Lamasitudju, Chairunnisa Landusa, Natalia Anastasya Luh Putu Ratna Sundari Maharani, Wulan Mery Subito Moh. Eno Farhan Mohamad Ilyas Abas Mohamad Irfan, Mohamad Mohammad Hikmal Naki Muhammad Ali Chandra Muhammad Rifaldi Dwimanhendra Muhsin, Abid Nanang Roni Wibowo Natalia Warani Nouval Trezandy Lapatta Novilia Chandra Nur Azhary Iriawan Eka Putra Paloloang, Muhammad Fairus B. Priska, Salsa Dilah Protus Pieter Kalatiku Putra, Subkhan Dinda Rahma Tanti Rahmah Laila Raivandy, I Made Randhy Rieska Setiawaty Rinianty, Rinianty Rizaldi Agil Faturrahman Rizka Ardiansyah Rizka Ardiansyah Rizky, Moh Taufiq Ryfial Azhar Septiana, Stevi Septiano Anggun Pratama Setiawan, Dita Widayanti Sri Khaerawati Nur Syahrullah Syahrullah Syahrullah Syaiful Hendra Thia Wydia Astuti Usama Wawagalang, A. Nolly Sandra Widya Wisanty Wirdayanti Wisanti, Widya Wiwik Supriyatin Yuli Asmi Rahman Yuri Yudhaswana Joefrie Yusuf Anshori Zulkifli Zulkifli