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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Ilmiah Media Sisfo Riyadhoh : Jurnal Pendidikan Olahraga Jurnal Ilmiah Wahana Pendidikan Solusi Bersama : Jurnal Pengabdian Dan Kesejahteraan Masyarakat Prosiding Seminar Nasional Ilmu Teknik Edumaspul: Jurnal Pendidikan
Fachruddin Fachruddin
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Optimasi XGBoost Dengan SHAP Untuk Sistem Skrining Penyakit Jantung Clara Zuliani Syahputri; Jasmir Jasmir; Fachruddin Fachruddin
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.147

Abstract

Heart disease is the leading cause of death in Indonesia and globally, necessitating an early screening system that is both accurate and clinically trustworthy. Although XGBoost demonstrates high predictive performance, its black-box nature undermines clinical trust, while low recall risks missed diagnosis an unacceptable consequence in population screening, especially in middle-income countries with limited healthcare resources. This study aims to develop a sensitive, transparent, and implementation-ready heart disease screening framework through the integration of SHAP-based Explainable AI. The CDC's Indicators of Heart Disease dataset (319,795 samples) was processed according to WHO/CDC standards, followed by class imbalance handling, hyperparameter optimization using RandomizedSearchCV, evaluation based on metrics sensitive to minority classes (AUC, recall, F1-score, AUC-PR), and threshold tuning to maximize recall. The baseline model showed a very low recall of 12.18%. After optimization and threshold tuning at 0.10, the model achieved recall >96% (96.79%) with a G-mean of 0.7477, supported by SHAP interpretation stability and the ability to capture non-linear interactions between advanced age (AgeCategory_WHO) and poor general health (GenHealth). SHAP analysis confirmed the alignment of dominant features with medical evidence, and its visualizations provide transparent explanations for healthcare professionals indicating its potential implementation as an interpretable clinical decision support system.
Evolusi Performa Arsitektur Deep Learning melalui Optimasi Bertahap dan Interpretabilitas Grad-CAM untuk Klasifikasi Penyakit Ikan Air Tawar Sasa Kirana Wulandari; Fachruddin Fachruddin; Jasmir Jasmir
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.179

Abstract

Freshwater fish diseases significantly affect aquaculture productivity and economic sustainability, while accurate visual classification remains challenging due to interclass similarity and image variability. This study presents a comparative evaluation of three deep learning architectures—DenseNet201, ResNet50, and EfficientNetV2-S—using a stepwise optimization strategy combined with Gradient-weighted Class Activation Mapping (Grad-CAM) for freshwater fish disease classification. Models were trained through three phases: baseline, optimized, and fine-tuned. Performance was evaluated using accuracy, precision, recall, F1 score, Matthews correlation coefficient (MCC), Cohen’s kappa, and per-class ROC–AUC. Results show consistent performance improvement across all architectures, with EfficientNetV2-S achieving the highest accuracy (97.14%), followed by ResNet50 (96.11%) and DenseNet201 (94.40%). High ROC–AUC values (>0.98) indicate strong discriminative capability. Grad-CAM analysis confirms that all optimized models focus on biologically relevant lesion regions, enhancing model transparency and reliability.
Membangun Budaya Siaga Bencana melalui Simulasi Gempa Bumi dan Tsunami di Lingkungan Madrasah Aliyah Negeri 2 Suak Timah Raina Parmitalia Dinda; Rita Fazlina; Rezqi Malia; Alvisyahri Alvisyahri; Veranita Veranita; Astiah Amir; Fadli Idris; Dewi Purnama Sari; Fitry Hasdanita; Rahmat Djamaluddin; Rinaldy Rinaldy; Zulyaden Zulyaden; Fachruddin Fachruddin
Solusi Bersama : Jurnal Pengabdian dan Kesejahteraan Masyarakat Vol. 3 No. 2 (2026): Mei : Solusi Bersama : Jurnal Pengabdian dan Kesejahteraan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/solusibersama.v3i2.3235

Abstract

This community service activity aimed to build a disaster preparedness culture through earthquake and tsunami simulation activities at Madrasah Aliyah Negeri 2 Suak Timah, West Aceh Regency. The activity was motivated by the high risk of earthquake and tsunami disasters in the coastal area of West Aceh and the limited understanding of students regarding disaster mitigation and evacuation procedures. This program was carried out through collaboration between the Regional Disaster Management Agency (BPBD) of West Aceh Regency, lecturers from the Civil Engineering Department of Teuku Umar University, the Samatiga Community Health Center, and the school. The methods used included education, socialization, demonstrations, and direct simulations regarding self-rescue actions during earthquakes and tsunamis. The simulation was conducted at Suak Timah Football Field as the evacuation gathering point. The results showed an increase in students’ and school members’ knowledge and preparedness in facing disasters. Participants were able to understand evacuation routes, perform self-protection actions, and follow evacuation procedures in an orderly and rapid manner. Evaluation results indicated that disaster mitigation understanding reached 85%, self-rescue ability 88%, accuracy in following evacuation routes 90%, discipline during simulation 92%, and participant involvement reached 95%. This activity also encouraged the formation of a disaster awareness culture and the emergence of active student roles as preparedness pioneers within the school environment. Therefore, disaster simulation proved to be an effective educational medium in improving the capacity and preparedness of school communities toward earthquake and tsunami risks.
Analisis Kepuasan Pengguna Aplikasi Melolo Menggunakan Metode End User Computing Satisfaction (EUCS) Rabiatun Islamiah; Fachruddin Fachruddin; Suyanti Suyanti
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.64

Abstract

The development of digital technology has led to an increase in the use of short video-based entertainment applications, including the Melolo application. However, the free version still has various complaints, such as inconsistent subtitles, unintuitive navigation, force close glitches, and unstable advertisements, so user satisfaction analysis is needed. This study aims to measure the level of satisfaction of users of the free version of the Melolo application using the End User Computing Satisfaction (EUCS) method, which covers five variables, namely content, accuracy, format, ease of use, and timeliness. Data was collected through an online questionnaire of 385 Melolo app users in Jambi City and analyzed using Structural Equation Modeling (SEM) with the help of SmartPLS 4. The results showed an R-Square value of 0.546, indicating that the model was able to explain 54.6% of the changes in user satisfaction levels. The variables of content and timeliness were found to have a significant effect on user satisfaction, while accuracy, format, and ease of use had no significant effect. These results indicate that content quality and system timeliness are the main factors in increasing user satisfaction. Therefore, Melolo app developers are advised to maintain content quality and improve system performance and stability to optimize the user experience.
Perancangan Sistem Pendukung Keputusan Untuk Seleksi Siswa Non-Akademik Cabang FLS3N di SMA Negeri 2 Muaro Jambi dengan Metode Topsis Ayu Anggelina; Fachruddin Fachruddin; Jasmir Jasmir
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.145

Abstract

The National Student Arts Festival and Competition (FLS3N) is an event aimed at developing students’ talents and achievements in the arts, including solo vocal competitions. The assessment process in this category involves multiple criteria, which may lead to subjectivity in decision-making. This study aims to design and develop a web-based Decision Support System (DSS) for selecting non-academic students in the FLS3N solo vocal category using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The assessment criteria are based on the 2025 FLS3N Technical Guidelines, consisting of voice quality, vocal technique, expression, and performance. The TOPSIS method is applied to generate alternative rankings based on the highest preference value. The system is developed using a web-based software development approach and tested using participant data from both male and female categories. The results indicate that the system can provide objective and consistent ranking recommendations, thereby assisting schools in selecting the best students to represent them in the FLS3N competition.
Sistem Pendukung Keputusan Pemilihan Siswa Terbaik Untuk Olimpiade Olahraga Siswa Nasional (O2SN) Menggunakan Metode Topsis di SMA Negeri 2 Muaro Jambi Maman Rudi Yaman; Fachruddin Fachruddin; Effiyaldi Effiyaldi
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.146

Abstract

Student selection for the National Student Sports Olympiad (O2SN), particularly in the karate category, is still largely conducted manually, which may lead to subjectivity and inconsistency in the assessment process. This study aims to design and develop a web-based Decision Support System (DSS) to assist schools in selecting the best students for the O2SN karate competition by applying the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method at SMA Negeri 2 Muaro Jambi. The system was developed using the waterfall model, which consists of requirement analysis, system design, implementation, and testing stages. The student evaluation process is based on criteria referring to the official O2SN karate standards, including stance accuracy, techniques, movement transitions, timing and harmony, breathing control, focus (kime), conformity (consistency with ryu-ha/style), strength, speed, and balance. The developed system processes assessment data to generate preference values and student rankings, which are separated by male and female categories. The results indicate that the application of the TOPSIS method is able to support more objective decision-making and improve transparency and efficiency in the O2SN student selection process within the school environment.
Optimasi Software Effort Estimation Menggunakan Random Forest Maria Rosario Borroek; Jasmir Jasmir; Fachruddin Fachruddin; Marrylinteri Istoningtyas; Yosefina Venus
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.156

Abstract

Software development effort estimation is crucial as it is one of the key factors for successful software development. This research employs Random Forest to estimate software development effort. To achieve better results, the study combines the Random Forest method with Genetic Algorithm. The results show that the China dataset provides more accurate estimation compared to the Desharnais dataset, because the China dataset uses relevant feature selection for estimation.
Pengembangan Sistem Repositori Karya Ilmiah Berbasis Web di Fakultas Hukum Universitas Jambi Muhammad Iqram Hidayatullah; Sharipuddin Sharipuddin; Fachruddin Fachruddin
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.165

Abstract

The management of scientific works at the Faculty of Law, Universitas Jambi, is still carried out manually through physical archives and simple digital storage without an integrated information system. This condition causes limited access, slow information retrieval, and a high risk of document loss and damage. This study aims to develop a web-based scientific repository system to improve the efficiency, accessibility, and security of managing academic works. The system was developed using the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and evaluation. Data collection was conducted through interviews, observations, and questionnaires involving librarians, lecturers, and students. The system was implemented using the Laravel framework with a MySQL relational database to support document storage, metadata management, access control, and search functionality. The results show that the developed repository system is able to facilitate the submission, verification, publication, and retrieval of scientific works effectively. User acceptance testing indicates that the system meets user needs in terms of usability, functionality, and accessibility. The implementation of this system contributes to improving academic information management and supports digital transformation at the Faculty of Law, Universitas Jambi.
Pengukuran Kepuasan Pengguna Website PTSP Kemenag Provinsi Jambi menggunakan Metode EUCS dan DeLone & McLean Khairul Fuadi; Setiawan Assegaf; Fachruddin Fachruddin
Prosiding Seminar Nasional Ilmu Teknik Vol. 2 No. 2 (2025): Desember: Prosiding Seminar Nasional Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/prosemnasproit.v2i2.167

Abstract

The implementation of the One-Stop Integrated Service (PTSP) Website at the Ministry of Religious Affairs of Jambi City is part of the digital transformation of public services. This study aims to measure user satisfaction with the PTSP Website using the End User Computing Satisfaction (EUCS) method and the DeLone & McLean model. This research employed a quantitative approach using a survey method involving 100 respondents who are users of the PTSP Website. The EUCS variables consist of content, accuracy, format, ease of use, and timeliness, while the DeLone & McLean model includes system quality, information quality, and service quality. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0 software. The results indicate that system quality, information quality, and service quality have a positive effect on user satisfaction with the PTSP Website. This study is expected to serve as an evaluation reference for improving the quality of digital public services.
Co-Authors Agik Suprayogi Alvisyahri Alvisyahri Ayu Anggelina Bambang Ismayana Clara Zuliani Syahputri Defrian, Angga Dewi Purnama Sari Effiyaldi, Effiyaldi Fadli Idris Fitry Hasdanita Hendri Hendri Intan Permata Sari Jasmir, Jasmir Khairul Fuadi LINDA APRILIA Makmur Syukri Maman Rudi Yaman Maria Rosario Borroek Marrylinteri Istoningtyas Miranti Adelia Afda Muhammad Iqram Hidayatullah Novriyandi Hanif Nur Helmi Pareza Alam Jusia Prima Eka Syam putri Rabiatun Islamiah Rahmat Djamaluddin Raina Parmitalia Dinda Rezqi Malia Rinaldy Rinaldy Rita Fazlina Rolin Fadilah Hasibuan Sasa Kirana Wulandari SATRIYAS ILYAS Setiawan Assegaf Sharipuddin, Sharipuddin Sopan Sofian Sudirman Sirait Suyanti Suyanti Veranita Veranita Yosefina Venus Zulfakri Zulfakri Zulyaden, Zulyaden