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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Pekommas Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Journal of Animation & Games Studies JMM (Jurnal Masyarakat Mandiri) International Journal of New Media Technology Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) KOMPUTIKA - Jurnal Sistem Komputer Jurnal Sistem Cerdas Care : Jurnal Ilmiah Ilmu Kesehatan Jurnal Ilmiah Inovasi J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) JURNAL ILMU KOMPUTER INDONESIA Jurnal Teknologi Informasi dan Multimedia PRIMA: Journal of Community Empowering and Services Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA International Journal of Healthcare and Information Technology Journal of Vocational, Informatics and Computer Education
I Gede Wiryawan
Program Studi Teknik Komputer/Jurusan Teknologi Informasi, Politeknik Negeri Jember
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Nursing Public Health Other

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SENAM VITALISASI OTAK: UPAYA EFEKTIF MENGUATKAN FUNGSI KOGNITIF, MENURUNKAN HIPERTENSI DAN EMOSIONAL PADA LANSIA Wiratma, I Wayan; Maba, I Wayan; Wiryawan, I Gede; Vipriyanti, Nyoman Utari
Care : Jurnal Ilmiah Ilmu Kesehatan Vol 9, No 3 (2021): EDITION NOVEMBER 2021
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jc.v9i3.2304

Abstract

Aging is a life process characterized by decreased cognitive function. The decline in cognitive function will affect the health and quality of life of a person and their participation in society. One of the efforts to improve cognitive function is to do brain vitalizing exercises. Research Objectives: To determine the effectiveness of vitalizing brain exercise on cognitive function, hypertension and emotional. Research Methods This research design is included in the pre-experimental research design with one-group pretest-posttest design. This study used purposive sampling. The total population is 100 people and is strictly selected according to the inclusion criteria, namely seniors aged 60 years and over, seniors who are willing to be respondents, elderly people who are included in dementia sufferers, hypertension and emotional disturbances according to the interpretation of the mini mental state examination, blood pressure and geriatric depression scale, leaving 40 respondents. Interventions were carried out 24 times for 30 minutes in 8 weeks. The data were tested using a non-parametric statistical test, namely the Wilcoxon Rank Test. Results: the results of the mini mental state examination obtained p value = 0.00, meaning p 0.05 so that Ha is accepted and Ho is rejected, the hypothesis of the geriatric depression scale obtained p value = 0.00, meaning p 0.05 so that Ha is accepted and Ho is rejected, the hypothesis of hypertension is p = 0.000, meaning p 0.05 so that Ha is accepted and Ho is rejected Conclusion Brain vitalization exercise is effective to reduce cognitive function (dementia), hypertension and emotional mental disorders . Suggestion 
Explainable Clinical-Operational Intelligence for Hospital Length of Stay Prediction Using Integrated Multi-Source Admission Data with Time-Based Evaluation Dwi Putro Sarwo Setyohadi; Hendra Yufit Riskiawan; Aji Seto Arifianto; I Gede Wiryawan; Akas Bagus Setiawan
Journal of Vocational, Informatics and Computer Education Vol 4, No 2 (2026): June 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i2.507

Abstract

Purpose - Hospital length of stay (LOS) affects bed turnover, discharge planning, staffing, and capacity. Integrated hospital data can strengthen LOS prediction and support decision-making. This study developed an explainable clinical-operational intelligence framework for LOS prediction using integrated admission data. Methods - The dataset comprised 45,000 admissions with supporting patient, diagnostic, prescription, billing, ward, bed, staff, and insurance records. It is based on a structured simulation designed to resemble the operational data of hospitals. An admission-level master table was constructed from demographic, temporal, clinical, pharmaceutical, insurance, operational, and patient history features. Length of stay (LOS) regression and high-risk LOS classification were evaluated using a temporal split of 2020-2023 for training, 2024 for validation, and 2025 for testing. Ridge, Random Forest, XGBoost, and CatBoost were compared, followed by threshold optimization, label screening, and SHAP analysis. Findings – CatBoost achieved the best LOS regression performance, with a test MAE of 1.606, an RMSE of 2.028, and an R2 of 0.614. For classification, very_high_los_q90 produced the most balanced extreme-risk formulation, with an accuracy of 0.885 and ROC-AUC of 0.802, whereas high_los_q75 yielded a recall of 0.998 and an F1-score of 0.604. SHAP indicated that prior admission history, diagnostic burden, medication-related features, and ward-level context were prominent drivers of LOS. Research implications – Integrated hospital data are useful for detecting prolonged and extreme LOS, supporting better hospital planning and resource management Originality – This study offers an explainable modeling approach using integrated admission data to support LOS prediction and hospital analytics
Land Suitability Assessment with TOPSIS in the Agrarian Sector Arvita Agus Kurniasari; Trismayanti Dwi Puspitasari; Pramuditha Shinta Dewi Puspitasari; Taufiq Rizaldi; I Gede Wiryawan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 3 (2026): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i3.2606

Abstract

Sustainable development for agricultural productivity and environmental conservation necessitates proper land use and utilization planning. Land suitability analysis is a key tool in evaluating land potential by considering various aspects such as altitude, solar radiation, rainfall, humidity, temperature, wind speed and soil pH. Appropriate decision-making in this context requires processing and analysis of diverse datasets, often involving complex multi-criteria evaluations. Among the different methods used for making decisions based on multiple criteria, the Technique for Order Preference by Similarity to Ideal Solution, or TOPSIS, is special because it is easy to use, works well, and can handle both numbers and words as types of criteria. This research presents the development of a web-based Land Suitability Assessment with TOPSIS in the Agrarian Region of Bondowoso Regency. This system is built using PHP as a server-side language, utilizing web technology for wider accessibility and real-time user interaction supported by a Geographic Information System.. Using weather parameter data with a resolution of 0.50 x 0.50 (approximately 55 km x 55 km per grid), this Decision support system shows an accuracy level of 82.60% with comparative data for 2023. This system is expected to facilitate more effective and efficient decision-making in sustainable land use planning.
An IoT-Based Intelligent Waste Segregation System with Real-Time Capacity Monitoring I Gede Wiryawan; Muhammad Nauval Hamdhani; Mohammad Abdul Azis; Muhammad Lukmanul Hakim; Achmad Sofyan Hakiki; M. Is’adul Ikhwan; Tiara Agustina Putri Wulandari; Nency Elvaretta Ardelia
IJNMT (International Journal of New Media Technology) Vol 13 No 1 (2026): Vol 13 No 1 (2026): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v13i1.4743

Abstract

Waste management in Indonesia is confronting a critical crisis, marked by the accumulation of 85% of waste in nearly full landfills and persistently low rates of source segregation, particularly in university campus environments. This study presents the development of RecyClean Smart Bin, a prototype IoT-based intelligent waste bin that integrates an ultrasonic sensor for real-time bin capacity monitoring, proximity and capacitive sensors for automatic classification of organic, inorganic, and metallic waste, and a web-based application for remote monitoring. The methodology encompasses hardware–software co-design, firmware programming, system implementation, and functional validation conducted over five days using fifteen representative waste samples. Results indicate excellent ultrasonic sensor accuracy (maximum deviation of 0.6 cm) and an overall sorting success rate of 80% (12 out of 15 samples), with particularly high precision in metallic waste detection. The proposed system offers a practical contribution toward advancing the circular economy and enabling sustainable smart environments.
Violence and Robbery Detection System Using YOLOv5 Algorithm Based on IoT Technology Hani'atul Khoiriyah; Fauzan Abdillah; Afris Nurfal Aziz; I Gede Wiryawan
Telematika Vol 18, No 2: August (2025)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v18i2.3088

Abstract

Violence and robbery are two common forms of crime that often cause material losses, psychological trauma, and insecurity within society. Conventional CCTV systems are limited in preventing such incidents, which highlights the need for more intelligent and responsive security solutions. The primary objective of this research is to design and evaluate SmartGuard, a real-time detection system for violence and robbery based on artificial intelligence (AI) using the YOLOv5 algorithm, integrated with Internet of Things (IoT) technology for remote monitoring. This study employed an experimental design with several stages: dataset preparation, model training, testing, model analysis, and system integration with Raspberry Pi, Firebase, and a mobile application. The dataset consisted of 6,900 labeled images across three classes: violence, robbery, and normal activity. Model evaluation was conducted using a separate test dataset and analyzed with a confusion matrix. The results show that the model achieved an overall accuracy of 70.94%. The system performed relatively well in detecting violence, with a precision of 71.13% and an F1-score of 62.47%. However, recall values for robbery (47.53%) and normal activity (48.99%) were considerably lower, indicating challenges in consistently recognizing these classes. Despite these limitations, SmartGuard allows users to view and receive notifications in emergency situations, enabling them to take quick action and monitor the situation effectively.
Penerapan Tiga Akses Teknologi Informasi Sebagai Upaya Peningkatan Sumber Daya Dalam Pembangunan Kampung Inspirasi Devi Aryaning Tyas; Winda Budi Lestari; Bayu Cahya Khurnia Yudha; Henri Bambang Suratno; Iqbal Ikhlasul Amal; Ardyas Setya Nugraha; Muhammad Hasan; I Gede Wiryawan
PRIMA: Journal of Community Empowering and Services Vol 7, No 2 (2023): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/prima.v7i2.76824

Abstract

Implementation of Three Information Technology Access Points as an Effort to Enhance Resources in the Development of Kampung Inspirasi. Sumbersalak village, Ledokombo District, Jember Regency is located at the foot of Mount Raung, with the geographical conditions of many coffee plantations. The majority of the people there work as coffee farmers and breeders of goats or cattle. There is the Sekar Wangi farmer group, a collection of several potential residents with visionary souls. The activities carried out by the farmer groups range from making Arabica and Robusta coffee. All community activities are carried out at Rumah Inspiration. The place is for various activities, including children's learning activities, making compost, and even the Sekar Wangi farmer group center. One of the informants we interviewed was the head of the farmer group in Sumbersalak Village. From the survey, the majority of people work as coffee farmers, and many piles of coffee skin waste and livestock manure are left unattended so that they can pollute the environment. Residents usually sell the coffee skin itself for 300 rupiahs per kilogram. Therefore, a design was made regarding the manufacture of compost from coffee husk waste and livestock manure using a compost mixer with digital technology. It aims to utilize waste which can later be utilized as a result in organic compost by coffee farmers and traded online through e-commerce so that more people know about this product, it can improve the economy of the Sumbersalak villagers later.
Hand Gesture Detection Implemented based on Long Short-Term Memory (LSTM) Method I Gede Wiryawan; Taufiq Rizaldi; Pramuditha Shinta Dewi Puspitasari; Arvita Agus Kurniasari
Jurnal Sistem Cerdas Vol. 8 No. 3 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i3.526

Abstract

The Indonesian government encourages accessibility of information that is friendly to people with disabilities, one of which is through the development of information and communication technology. Efforts to increase accessibility of information and encourage independence of people with disabilities need to be supported by the right solutions. According to the Central Statistics Agency, there were 0.68% of the total population of Indonesia in 2019, this data shows that deafness is one of the highest disabilities in Indonesia. Efforts to increase accessibility of information and encourage independence of people with disabilities need to be supported by the right solutions. One potential solution is the development of a self-service system that is friendly to the deaf. This study aims to develop a self-service system that is friendly to the deaf and helps in obtaining information and services independently. The results achieved in this study are in the application of hand signal detection using the Long Short-Term Memory method which can overcome the problem of long-distance dependency and improve performance in recognizing complex hand signal patterns. The hand signal recognition feature can be improved by overcoming the problem of long-distance dependency with a maximum user distance of 1.25 meters, the system can still recognize hand signals well. It is hoped that in the future, more in-depth studies can be carried out on long-distance dependency for variations of other hand signal recognition methods, so that people with disabilities can more easily use the self-service system.
Co-Authors Achmad Sofyan Hakiki Ade Bagus Pratama, Ade Bagus Afris Nurfal Aziz Agus Purwadi Agustianto, Khafidurrohman Aji Seto Arifianto Aji Seto Arifianto Albaab, Mochammad Rifki Ulil Andis Trihariprasetya Arvita Agus Kurniasari Arvita Agus Kurniasari Aziz, Afris Nurfal Baskara Utoyo, Deva Bekti Maryuni Susanto Beni Widiawan, Beni Dewi Puspitasari, Pramuditha Shinta Dewi Safitri, Kursita dony setiawan hendyca putra Dwi Putro Sarwo Setyohadi Ely Mulyadi Ely Mulyadi Ernanta, Dimas Mulya Perkasa Estin Roso Pristiwaningsih Eva Rosdiana FAUZAN ABDILLAH Fauzan Abdillah Hani'atul Khoiriyah Hendra Yufit Riskiawan Hudori, Huda Ahmad Indah Qurrothul Uyun Khafidurrohman Agustianto Khoiriyah, Hani’atul Linda Dwi Wahyuningsih M. Is’adul Ikhwan Maulida Dwi Agustiningsih Meydiantika Anggia Putri, Tri Farin Mohammad Abdul Azis Muhammad Lukmanul Hakim Muhammad Nauval Hamdhani Muhammad Yusuf Mukhamad Angga Gumilang Muknizah Aziziah Mulyadi, Ely Nency Elvaretta Ardelia Nugroho Setyo Wibowo Nurfal Aziz, Afris Nurillahilwafi, Nurillahilwafi Nyoman Utari Vipriyanti Oktaviani, Siska Aprilia Perwiraningrum, Dhyani Ayu Pramuditha Shinta Dewi Puspitasari Pramuditha Shinta Dewi Puspitasari Prawidya Destarianto Puspitasari, Pramuditha Shinta Dewi Putra, Dhony Manggala Rani Purbaningtyas, Rani Sari, Sella Putri Setiawan, Akas Bagus Taufiq Rizaldi Taufiq Rizaldi Taufiq Rizaldi Tiara Agustina Putri Wulandari Trihariprasetya, Andis Trismayanti Dwi Puspitasari Vyan Ary Pratama Wayan Maba Wiratma, I Wayan Yogiswara Yogiswara Yuwita, Kirana