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All Journal Jurnal Teknologi dan Manajemen Industri Terapan CSRID Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat
Samsir
Universitas Al Washliyah Labuhanbatu
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Other

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Journal : csrid

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Sistem Pakar Diagnosis Penyakit Typhus Menggunakan Metode Forward Chaining Berbasis Web Abdul Hakim Jambak; Samsir; Shabrina Rasyid Munthe
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 1 (2026): Februari 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.1.2026.148-161

Abstract

Typhoid fever is a digestive system infection caused by Salmonella Typhi and remains a significant health problem in Indonesia due to symptom similarities with other diseases, which often lead to delayed early diagnosis. This study aims to develop a web-based expert system to support early diagnosis of typhoid fever using the Forward Chaining method. The knowledge base was constructed through medical literature review and expert validation by an internal medicine specialist and represented using IF–THEN production rules. The system utilizes six main symptoms and seven disease conditions processed through a forward chaining inference mechanism to generate diagnostic conclusions automatically. System evaluation was conducted using 146 case datasets through Black Box Testing, White Box Testing, and Known Case Testing. The results show a diagnostic accuracy of 87.88%, while white box testing achieved 100% logical correctness. The findings indicate that the Forward Chaining method effectively performs symptom-based reasoning and can support structured early diagnosis of typhoid fever.
Sistem Pakar Diagnosis Kerusakan Rambut Berbasis Web Menggunakan Metode Certainty Factor Tisna Destiana; Samsir; Selamat Subagio
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 1 (2026): Februari 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.1.2026.83-97

Abstract

This study develops a web-based expert system for diagnosing hair damage using the Certainty Factor (CF) method to support early self-assessment and treatment recommendations. The knowledge base consists of five types of hair damage and five main symptoms with expert-validated belief weights. The CF method is applied to compute diagnostic confidence based on symptom combinations selected by users. System evaluation was conducted using test-case scenarios and numerical CF calculations. The results show that for three dominant symptoms, the system produces a CF value of 0.952, indicating a 95.2% confidence level. The novelty of this study lies in the expert-weighted knowledge modeling, transparent CF numerical analysis, and inference aggregation correction evaluation. The system can serve as an initial consultation tool before professional diagnosi.
E-Canteen Universitas Al Washliyah Labuhanbatu Berbasis WEB Selamat Subagio; Samsir; Muhammad Rusdi
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 2 (2026): Juni 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.2.2026.395-408

Abstract

The rapid advancement of information technology has driven significant changes across various sectors, including facility management within higher education institutions. The Universitas Al Washliyah Labuhanbatu canteen—a crucial facility supporting daily campus activities—frequently faces operational challenges. These issues include long customer queues during break times, a lack of transparency in financial record-keeping, and difficulties for canteen owners in monitoring real-time stock levels. To address these problems, this study aimed to design and implement a web-based e-canteen management system. The system was designed to integrate the functional needs of students and lecturers (as buyers), canteen owners (as sellers), and campus administrators. The development process adopted the System Development Life Cycle (SDLC) methodology, encompassing user requirements analysis, database modeling (using ERD and DFD), and coding utilizing HTML, CSS, PHP, and MySQL technologies. Functionality testing demonstrated that the e-canteen application successfully reduces customer waiting times through an online ordering feature, provides clear digital cash flow records for management, and minimizes errors in product inventory tracking. The implementation of this platform is expected to accelerate digital transformation and help realize the "smart campus" concept at Universitas Al Washliyah Labuhanbatu.
Pengembangan Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Multi-Kriteria Menggunakan Metode Simple Additive Weighting (SAW) pada Sekolah Menengah Kejuruan Samsir; Maisarah Ritonga; Muhammad Siddik
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 2 (2026): Juni 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.2.2026.205-217

Abstract

The selection process of outstanding students in Vocational High Schools (SMK) often suffers from subjectivity and inefficiency due to manual assessment procedures. This study aims to develop a web-based Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to determine outstanding students more objectively. The system integrates three achievement categories—academic, professional, and sports achievements—represented by nine evaluation indicators with different weights according to their importance. The SAW method was applied through decision matrix construction, normalization, weighting, and preference value calculation. The results show that the best alternative obtained a preference value of 6.77 and was recommended as the outstanding student. Black Box testing indicated that all system functions operated successfully with a 100% success rate. Furthermore, the system reduced the selection process time from 40 minutes to 8 minutes, representing an 80% efficiency improvement compared with the manual process. These findings demonstrate that the implementation of the SAW method effectively improves objectivity, transparency, and efficiency in the outstanding student selection process in vocational high schools.
Sistem Pakar Deteksi Penyakit THT Menggunakan Metode SAW Samsir; Muhammad siddik; Azrai Sirait
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 2 (2026): Juni 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.2.2026.409-425

Abstract

Ear, Nose, and Throat (ENT) disorders are common health issues that require timely intervention from the early stages to prevent complications. However, a shortage of ENT specialists and the unequal distribution of healthcare services hinder optimal consultation and initial diagnosis, particularly in areas with limited access to healthcare. While various studies have developed disease diagnosis systems using inference methods—such as Forward Chaining and Certainty Factor—the application of the Simple Additive Weighting (SAW) method as a Multi-Criteria Decision Making (MCDM) approach to rank potential diseases based on symptom combinations remains relatively limited. This study aims to develop a web-based expert system for the initial diagnosis of ENT disorders by utilizing a knowledge base derived from ENT specialists and implementing the SAW method as a decision-making mechanism to identify the most likely disease (the alternative with the highest preference value). The knowledge base is represented through relationships between symptoms, diseases, symptom weights, and management guidelines. The diagnostic process involves constructing a decision matrix, normalizing values, weighting symptoms, and calculating preference values ​​using the SAW method. Developed using PHP and MySQL, the system provides initial diagnostic recommendations and management advice based on user-selected symptoms. This research contributes by applying the SAW method as a multi-criteria decision-making mechanism within an ENT diagnosis system, thereby making the process of identifying potential diseases more systematic, transparent, and adaptable to changes in the knowledge base
Pengembangan Sistem Informasi Laporan Praktik Kerja Lapangan Mahasiswa Berbasis Web Menggunakan Metode Waterfall di Universitas Alwashliyah Labuhanbatu Abdul Hakim Dalimunthe; Selamat Subagio; Samsir
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 2 (2026): Juni 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.2.2026.232-244

Abstract

The management of Field Work Practice (PKL) reports at the Faculty of Computer Science, Alwashliyah University (UNIVA) Labuhanbatu, is currently handled manually, leading to various issues such as delayed report submissions, document archiving difficulties, ineffective supervision monitoring, and slow grading processes by supervisors. This research aims to develop a web-based PKL report information system capable of centrally integrating administrative processes—ranging from student data management, placement, and report uploading to supervision monitoring and grading. The system was developed using the Waterfall method, comprising stages for requirements analysis, system design, implementation, testing, and maintenance. It was built using PHP, MySQL, and the Bootstrap framework. System testing employed the Black Box Testing method across 25 scenarios covering user authentication, management of student, lecturer, and industry partner (DU/DI) data, report uploads, the supervision process, and grading. Test results demonstrated that all scenarios executed successfully according to functional requirements, achieving a 100% success rate. Implementing this system improves the efficiency of PKL administration, accelerates information exchange among students, supervisors, and administrators, and results in report archiving that is more structured, well-documented, and accessible compared to the manual process.
Sistem Pendukung Keputusan Pemilihan Pengobatan Tradisional Kardivaskular Dengan Metode SAW Rahmad Aditiya; Samsir; Reagan Surbakti Saragih
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 2 (2026): Juni 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.2.2026.287-299

Abstract

Cardiovascular disease is one of the leading causes of death worldwide and requires appropriate treatment and therapy selection. In addition to conventional medical treatment, traditional herbal medicine is widely used as an alternative therapy. However, the large number of available herbal remedies often makes it difficult for people to determine the most appropriate option. This study aims to develop a web-based Decision Support System (DSS) to recommend traditional herbal treatments for cardiovascular diseases using the Simple Additive Weighting (SAW) method. The SAW method was implemented through the stages of alternative determination, criteria identification, criteria weighting, decision matrix construction, normalization, preference value calculation, and ranking. The system was developed using PHP and MySQL and evaluated through Black Box Testing. The results indicate that the system is capable of integrating disease data, symptom data, herbal treatment alternatives, and evaluation criteria to generate recommendations based on the highest preference values. Based on the SAW calculation, A1 (Garlic) achieved the highest preference value of 0.94, followed by A5 (0.91) and A7 (0.89), making it the most recommended traditional treatment according to the criteria of treatment effectiveness, cost, side effects, and herbal availability. The system testing results also showed that all major functions operated as expected. Therefore, the SAW method can be effectively applied as a simple, objective, and practical decision-making approach for recommending traditional treatments for cardiovascular diseases.
Co-Authors Abdul Hakim Dalimunthe Abdul Hakim Jambak Azrai Sirait Maisarah Ritonga Muhammad Rusdi Muhammad Siddik Nur Belila Rambe Rahmad Aditiya Reagan Surbakti Saragih Reagen Surbakti Saragih Selamat Subagio Shabrina Rasyid Munthe Syafaruddin Munthe Tisna Destiana