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All Journal International Journal of Electrical and Computer Engineering Jurnal Informatika JIK Jurnal Ilmu Komputer Jurnal Sistem Komputer BERKALA SAINSTEK Prosiding SNATIKA Vol 01 (2011) Journal of Agromedicine and Medical Sciences INFORMAL: Informatics Journal Jurnal Manajemen Kesehatan Indonesia UNEJ e-Proceeding Proceeding of the Electrical Engineering Computer Science and Informatics Management Analysis Journal JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Health Notions Wikrama Parahita : Jurnal Pengabdian Masyarakat Indonesian Journal of Artificial Intelligence and Data Mining CARADDE: Jurnal Pengabdian Kepada Masyarakat SPIRIT Indonesian Journal of Global Health research Journal of Indonesia Road Safety Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Teknik Sumber Daya Air Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Pengabdian Pada Masyarakat JGGAG (Journal of Games, Game Art, and Gamification)
Saiful Bukhori
Lecturer, Faculty Of Computer Science, Universitas Jember
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Detection of Keratitis in The Cornea By Developing An Active Contour Method Based on Contrast Features Negoro, Wahyu Saptha; Sumijan, Sumijan; Bukhori, Saiful
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.3356

Abstract

Digital Image Processing (DIP) is a scientific discipline that uses computer image processing techniques. The object of this research is keratitis on the cornea. The image of keratitis is obtained using a slit lamp at Padang Aye Center (PAC) Hospital, based on the results of the diagnosis, namely by looking at the development of the infiltrate or also called hypopyon, measuring the ulcer borders horizontally and vertically to evaluate improvement or response to the treatment given. The clinical results cannot determine the extent and circumference of the keratitis layer area that responds to treatment in the corneal area. The images used were 206 slit lamp images of keratitis. This research provides knowledge in the form of contrast values in the Active Contour method, resulting in an update called Active Contour Contrast Adjustment (ACCA) in correctly segmenting keratitis objects and providing measurements of the area and perimeter of the keratitis area. Overall. The research results from 206 slit lamp images, 195 slit lamp images of keratitis could detect keratitis correctly, and eleven slit lamp images of keratitis could not be detected, resulting in an accuracy of 94.66%. Meanwhile, the standard Active Contour accuracy was not detected at all or 100% undetected. Based on 11 images not detected using the (ACCA) method from 206 images, an accuracy of 5.33% was obtained. So, the results obtained are outstanding and can be used as a reference for medical personnel.
Pengembangan Agrowisata Di Desa Kebonan Kabupaten Lumajang Dengan Menggunakan Augmented Reality Dan BMC Retnani Wulandari, Diah Ayu; Saiful Bukhori; Yudha Alif Aulia; Mohammad Zarkasi; Tio Dharmawan
CARADDE: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 3 (2025): April
Publisher : Ilin Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31960/caradde.v7i3.2726

Abstract

Pada tahun 2023 tim pengabdian melakukan program mendukung kegiatan hilirisasi produk Pawon Urip desa kebonan lumajang dan hasilnya masyarakat mampu membuat produk yang menarik dengan perbaikan kemasan melalui desain 3D augmented reality. Selanjutnya pada tahun 2024 Pemerintah Desa Kebonan membuat tempat wisata alam puncak gunung bujel sebagai wadah untuk mendukung hilirisasi produk melalui wisatawan yang datang ke tempat wisata. Rencana ini harapannya dapat menciptakan ketahanan pangan berkelanjutan sehingga terwujud SDGs desa sehat dan sejahtera. Permasalahan yang diidentifikasi adalah minimnya pengetahuan mengenai perencanaan wisata. Solusi pertama adalah peningkatan soft skill dan hard skill melalui sosialisasi dan pelatihan pengembangan business plan wisata Kebonan, yang hasilnya warga desa dapat merencanakan bisnis dan promosi wisata sendiri. Solusi kedua adalah implementasi teknologi tepat guna berupa sistem manajemen wisata dan pemanfaatan augmented reality untuk promosi. Pada tahap pra-kegiatan dilakukan observasi lanjutan, pengumpulan data, dan sosialisasi program. Tahap pelaksanaan meliputi pembentukan struktur BUMDES, pelatihan, pendampingan, dan pembuatan panduan dengan menggunakan metodologi PRA. Tahap pasca kegiatan berfokus pada evaluasi. Kolaborasi dengan tim ahli teknologi informasi dan informatika, serta melibatkan tiga mahasiswa, diakhir kegiatan telah terbentuk roadmap pengembangan pariwisata, tersusunnya perencanaan wisata dan paket wisata dari hasil BMC dan keterampilan warga dalam melakukan promosi dengan augmented reality.
Implementation of Finite State Machine to Determine The Behaviour of Non-Playabale Character in Leadership Simulation Game Muhammad Bagus Rizqi Alvian; Saiful Bukhori; Muhammad ‘Ariful Furqon
Journal of Games, Game Art, and Gamification Vol. 9 No. 1 (2024)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v9i1.10894

Abstract

In today's era, games are widely enjoyed by the Indonesian society, and one of them is simulation games. Simulation games have many advantages, including allowing players to experiment freely and encouraging them to learn. Therefore, the use of simulation games can be utilized as a training medium, such as leadership training. There are five levels of leadership based on The 5 Levels of Leadership: position, permission, production, people development, and pinnacle. Direct practice is necessary in training these levels of leadership through the implementation of Artificial Intelligence (AI) in simulation games. One of the AIs used for this implementation is the Finite State Machine (FSM). FSM will be implemented in Non-Playable Characters (NPCs) to determine behavior that is adjusted to the 5 levels of leadership. There are three State Machines (SM) applied to NPCs: Core Game SM, Movement SM, and Status SM. The use of FSM in NPCs results in dynamic NPC behavior in terms of physical movement and changes in NPC status according to 5 Levels of Leadership
Evaluation of the Hospital Information System (HIS ) using EUCS and PIECES Methods on the Medical Record Section of RSUD dr. Haryoto Lumajang Hanesya, Arini Farihatul; Novi Marchianti, Ancah Caesarina; Bukhori, Saiful
IJCONSIST JOURNALS Vol 3 No 1 (2021): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.871 KB) | DOI: 10.33005/ijconsist.v3i1.57

Abstract

The use of HIS itself in Indonesia is 82.21% of hospitals have adopted HIS and only 15.79% have not adopted HIS. However, the use of SIMRS still uses paperless medical records because there are still several aspects of SIMRS that need to be developed according to user needs. The purpose of this study was to evaluate HIS using the PIECES and EUSC methods. The PIECES method is used to evaluate based on system performance consisting of performance, information, economy, control, efficiency and service variables. The EUSC method is used to evaluate user satisfaction using content, format, acurancy, timeliness and easy of use variables. This type of research is quantitative descriptive and analytic with a sample of 45 people. Descriptive data processing using scoring and analytical using chi square test. Descriptive data processing using scoring and analytical using chi square test. The results of descriptive research using the PIECES method: the performance variable is 69.0%, the information variable is 70.18%, the economy variable is 67.3%, the control variable is 71.4%, the efficiency variable is 72.3%, the service variable is 73. ,2% and all variables included in the good category. The results of analytical research using the End User Computing Satisfaction method found that there are 4 variables that affect user satisfaction, namely content, format, timeliness and easy of use, while the acurancy variable does not affect HIS user satisfaction.
Development of watershed algorithm for identification of diabetic retinopathy based on fundus images Surmayanti, Surmayanti; Sumijan, Sumijan; Bukhori, Saiful
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i3.pp2845-2856

Abstract

Diabetic retinopathy (DR) is a serious complication of diabetes that can lead to blindness if not detected early. This research presents a novel method for the identification of DR using fundus images, employing the Watershed Algorithm for accurate image segmentation and the gray level co-occurrence matrix (GLCM) for texture feature extraction. The image processing pipeline involves several stages, including grayscale conversion, noise reduction through Gaussian and median filters, and Otsu's thresholding to isolate key features such as retinal lesions. The watershed algorithm is applied to delineate the boundaries of abnormal regions, while the GLCM method extracts texture features like contrast, correlation, energy, and homogeneity, which are essential for diagnosing retinal abnormalities. The proposed approach demonstrates a high accuracy rate of 92%, successfully identifying abnormalities in 46 out of 50 fundus images. The method shows significant potential for enhancing early detection of DR, providing accurate segmentation and texture analysis, making it a valuable tool for medical professionals in diagnosing retinal diseases.
Model Prediksi Ketersediaan Air Menggunakan Data Sirkulasi Atmosfer Halik, Gusfan; Wahyuni, Sri; Yunarni, Wiwik; Bukhori, Saiful
Jurnal Teknik Sumber Daya Air Vol. 3 No. 2 (Desember 2023)
Publisher : Himpunan Ahli Teknik Hidraulik Indonesia (HATHI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56860/jtsda.v3i2.49

Abstract

Perubahahan iklim global telah memberikan pengaruh terhadap perubahan pola curah hujan sehingga berdampak pada ketersediaan air. Disamping itu, kondisi fenomena iklim lokal seperti ENSO juga memberikan pengaruh terhadap perubahan pola hujan dan ketersediaan air. Saat ini, prediksi hujan dan ketersediaan air sangat sulit dilakukan karena terjadinya perubahan iklim dan adanya ketidakpastian fenomena iklim lokal. Penelitian ini bertujuan untuk memodelkan ketersediaan air di DAS Sampean Baru Kabupaten Bondowoso menggunakan data sirkulasi atmosfer secara langsung. Model prediksi ketersediaan air diusulkan menggunakan model hybrid berbasis kecerdasan buatan, yaitu : Wavelet Neural Networks (WNN). Model WNN menggabungkan fitur ekstraksi dengan transformasi wavelet dan fungsi transfer non linier Artificial Neural Networks. Hasil penelitian menunjukkan bahwa pola ketersediaan air antara luaran WNN dengan pola ketersediaan air observasi mempunyai kesesuaian pola yang sama.  Namun demikian, luaran WNN belum mampu memprediksi debit aliran tinggi atau debit puncak dengan baik. Oleh karena itu, model WNN ini hanya direkomendasikan untuk memprediksi debit operasional atau debit andalan bulanan. Berdasarkan hasil penelitian ini, model prediksi ketersediaan air dengan WNN dapat dimanfaatkan oleh instansi terkait/stakeholder sebagai alternatif dasar pertimbangan dalam merancang strategi alokasi air.
Evaluation of Telemedicine Services in Outpatient Services at Hospital X, Jember District using the Human Organization Technology Method (Hot-Fit Model) Puspitarini, Niken Wahyu; Nuryadi, Nuryadi; Bukhori, Saiful
Indonesian Journal of Global Health Research Vol 7 No 5 (2025): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v7i5.6745

Abstract

The use of telemedicine as an information technology innovation in health services is one of the important strategies in improving quality services, especially in the era of digitalization of the health system. This study aims to capture patient perceptions and satisfaction with the use of telemedicine services at the X Hospital using the HOT-Fit Model approach. This study uses a quantitative method with a cross-sectional design and SmartPLS-based Structural Equation Modeling (SEM) analysis, involving 380 randomly selected respondents. Data was collected by filling out a questionnaire via Google Form. The results of the study indicate that there is a significant relationship between human, organizational, and technological variables on the net benefits or utilization of telemedicine. The technological factor has the most dominant influence both directly on utilization and indirectly through improving the quality of human resources and organizational support. These findings emphasize the importance of investing in technological infrastructure, increasing digital human resource literacy, and the role of organizations in supporting the successful implementation of telemedicine services.
Evaluating the Effect of Outpatient Registration Systems on Patient Recommendations Using Value Stream Mapping and Path Analysis Malik Qilsi, Fatkhur Ruli; Bukhori, Saiful; Firman, Firman
Journal of Agromedicine and Medical Sciences Vol. 11 No. 2 (2025)
Publisher : Faculty of Medicine, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/ams.v11i2.53729

Abstract

Digital transformation in healthcare requires hospitals to adopt efficient and integrated information systems. This research aims to analyze the influence of outpatient registration information system types—conventional, Hospital Management Information System (HMIS), and Mobile JKN—on recommendations to others using Value Stream Mapping (VSM) and path analysis with SmartPLS. The study was conducted at Citra Husada Hospital Jember with 98 respondents selected through convenience sampling. The VSM results indicate that Mobile JKN has the shortest total service time (1 hour 32 minutes) and the highest efficiency value (8.6%). Statistical analysis shows that interaction with medical personnel, ease of access, ease of use, and data security significantly influence patient satisfaction. Medical information satisfaction and overall service quality are proven to be the main factors driving patient recommendations. Consequently, Mobile JKN is the most efficient registration system alternative and has the potential to improve hospital service quality. Optimization of system integration and user education is recommended to support digital-based healthcare service transformation.
GWO-Enhanced Hybrid Deep Learning with SHAP for Explainable TLKM.JK Stock Forecasting Bukhori, Hilmi Aziz; Bukhori, Saiful; Anam, Syaiful; Yusuf, Feby Indriana; Sari, Meylita
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5205

Abstract

This study presents an innovative Grey Wolf Optimization (GWO)-enhanced hybrid deep learning model integrating Convolutional Neural Networks (CNN), Bidirectional Long Short-Term Memory (BiLSTM), and Transformer, combined with SHAP for interpretable stock price forecasting of TLKM.JK from July 29, 2024, to July 29, 2025. Addressing non-linear market dynamics, the model evaluates seven experimental cases, with the GWO-optimized configuration (Case 2) achieving superior performance, with a Root Mean Squared Error (RMSE) of 75.23, Mean Absolute Error (MAE) of 58.14, and Directional Accuracy (DA) of 76.2%, surpassing the baseline by 17.4% in RMSE and 8.1% in DA. Notably, Case 2 excels during the April 2025 surge (11.8% increase, MAE 53, DA 82%) and the high-volume day of May 28, 2025 (531,309,500 shares, MAE 48), leveraging Volume (SHAP 0.45) and RSI (0.28) as key predictors. With a 4-hour convergence time on an NVIDIA RTX 3060 GPU, the model ensures computational efficiency and interpretability, making it a robust tool for traders. Despite limitations in single-stock focus and GPU dependency, this framework advances AI-driven financial forecasting by offering transparent, high-accuracy predictions, paving the way for multi-stock applications and real-time SHAP updates.
Transformasi Kreasi Produk Edufarm Inovatif Untuk Mempercepat Hilirisasi Retnani Wulandari, Diah Ayu; Saiful Bukhori; Sri Hartatik; Mohammad Zarkasi; Tio Dharmawan; Yudha Alif Auliya
CARADDE: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2025): Agustus
Publisher : Ilin Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31960/caradde.v8i1.2963

Abstract

Desa Kebonan memiliki potensi ketahanan pangan melalui aktivitas berkebun, namun upaya untuk meningkatkan nilai tambah hasil pertanian agar dapat dijual dan mendukung kemandirian desa masih perlu dioptimalkan. Kegiatan pengabdian ini bertujuan untuk mempercepat hilirisasi produk pertanian melalui transformasi kreasi produk EduFarm yang inovatif dan menarik. Metode yang digunakan adalah Participatory Rural Appraisal (PRA), yang memaksimalkan partisipasi masyarakat dalam setiap tahap kegiatan. PRA menitikberatkan pada penggalian kemampuan dasar peserta untuk menciptakan produk yang unik dan berdaya saing. Kegiatan ini mencakup penyuluhan, pelatihan digital storytelling , desain kemasan, dan pembuatan animasi 3D, yang dilakukan dalam dua kelompok dengan materi yang disesuaikan dengan tujuan spesifik masing-masing kelompok. Data keberhasilan program dianalisis secara kuantitatif berdasarkan indikator ketercapaian, yaitu peningkatan keterampilan teknologi sebesar 75%, kemampuan bercerita sebesar 80%, dan peningkatan kualitas produk EduFarm sebesar 85%. Hasil menunjukkan bahwa kegiatan ini berhasil meningkatkan kemampuan peserta dalam bekerja sama untuk menciptakan produk EduFarm yang inovatif dan menarik. Produk yang dihasilkan memiliki daya tarik visual dan cerita yang kuat, sehingga meningkatkan potensi pemasaran. Simpulan dari kegiatan ini adalah bahwa transformasi produk EduFarm inovatif melalui pendekatan partisipatif efektif dalam mempercepat hilirisasi produk pertanian Desa Kebonan dan mendukung kemandirian ekonomi masyarakat.
Co-Authors Ahmad Fauzal Adifia Ahmad Firdaus Ababil Ahmad Firdaus Ababil Al Munawir Anam, M Khairul Ancah Caesarina Novi Marchianti Antonius Cahya Prihandoko Basbeth, Faishal Bayhaqqi Bayhaqqi Bukhori, Hilmi Aziz Dewi Kholifatul Ummah Dewi Rokhmah Dharmawan, Tio Diah Adistia Diah Adistia A Diah Ayu Retnani Wulandari Fahruddin Arrasyid Alfansuri Faishal Basbeth Feby Indriana Yusuf Feby Sabilhul Hanafi Firman Firman Furqon, Muhammad Ariful FX Ady Soesetijo Gayatri Dwi Santika Gusfan Halik Hairul Anam Hanesya, Arini Farihatul Haryanto, Kurniawan Wahyu Hastungkara, Duhita Husnul Hotimatus s Husnul Hotimatus Sahroh I Ketut Eddy Purnama januar adi putra, januar adi Krisnha Dian Ayuningtyas Lucky Lhaura Van FC, Lucky Lhaura Luh Putu Ratna Sundari Mahamad, Abd Kadir Malik Qilsi, Fatkhur Ruli Markus Apriono Maulia Azizah Maulina Azizah Mauridhi Heri Purnomo Mochamad Hariadi Mohammad Ovi Sanjaya Mohammad Zarkasi Muhammad Bagus Rizqi Alvian Muhammad Noor Dwi Eldianto Mustika Rahmasuci Mustika Rahmasuci Nafolion Nur Rahmat, Nafolion Nur Negoro, Wahyu Saptha Nur Kholis Mansur Nuryadi Nuryadi Oktalia Juwita Oktavia, Nelly Puspitarini, Niken Wahyu Putra, Januar Adi PUTRI WULANDARI R., Windi Eka Y. Rebecca La Volla Nyoto Saon, Sharifah Sari, Meylita Shasha Nur Faadhilah Sonya Sulistyono Sri Hartatik Sri Hernawati Sri Wahyuni Sumijan Sumijan Surmayanti, Surmayanti Syaiful Anam Tio Dharmawan Umroh Makhmudah Vivi Sefrinta Izza Afkarina Wijaya, Angga Ari Wiji Utami Windi Eka Yulia Retnani Yudha Alif Aulia Yudha Alif Auliya Yudhi Tri Gunawan Yunarni, Wiwik