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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnas Nasional Teknologi dan Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Ilmiah Media Sisfo JURIKOM (Jurnal Riset Komputer) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Teknologi dan Sistem Informasi Jurnal Manajemen Sistem Informasi Prosiding Seminar Nasional Ilmu Teknik
Sharipuddin, Sharipuddin
Universitas Dinamika Bangsa
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Analisis Kualitas Layanan Website Sistem Informasi Akademik STIKBA Jambi terhadap Kepuasan Pengguna menggunakan Metode Webqual 4.0 Caroline Zahri; Sharipuddin; yessi hartiwi
Jurnal Informatika Dan Rekayasa Komputer(JAKAKOM) Vol 3 No 2 (2023): JAKAKOM Vol 3 No 2 SEPTEMBER 2023
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jakakom.2023.3.2.1333

Abstract

Baiturrahim College of Health Sciences (STIKBA) JAMBI is a private tertiary institution in JAMBI. At STIKBA, the SIAKAD website is used to handle the process of managing academic data and other related data, so that the entire process of academic activities can be managed into useful information in the management of higher education institutions, decision making and reporting in the college environment. However, in reality the website is still not useful and well used, especially for JAMBI STIKBA students as a means of information, personal agenda as well as information that lacks updating, is not timely and looks unattractive. Therefore, the purpose of this research is to find out what factors influence the level of users satisfaction in using the SIAKAD website. The data collection method is through an online questionnaire data reslts were processed and analyzed using SPSS 26. Based on the results of research and analysist that has been carried out, the Usability variable has an effect of 3.326 on user satisfaction, then the information quality variable has an influence of 2.396 on user satisfaction and the variable of service quality (interaction quality) has an effect of 1.987 on user satisfaction
HYBRID SAW-TOPSIS DECISION SUPPORT SYSTEM FOR EXEMPLARY RELIGIOUS AFFAIRS OFFICES SELECTION Muhdi; Sharipuddin; Joni Devitra
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.6881

Abstract

The selection of the Exemplary Religious Affairs Office (KUA) in Muaro Jambi Regency is currently hindered by manual, subjective assessments that lack transparency and objective benchmarking. This study addresses this gap by developing a web-based Decision Support System (DSS) that integrates Simple Additive Weighting (SAW) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Developed using the waterfall model, the system aims to enhance objectivity and efficiency in evaluating institutional performance. The primary scientific contribution lies in the proposed hybrid Multi-Criteria Decision-Making (MCDM) architecture: SAW is utilized to establish transparent initial criteria weights, which are then processed through TOPSIS to resolve complex trade-offs by identifying the shortest distance to the positive ideal solution. Results indicate that this integrated framework significantly improves ranking consistency and provides a robust validation mechanism compared to traditional manual evaluations. Beyond its practical application, this study contributes to the theoretical discourse on hybrid MCDM integration, offering a validated framework for enhancing accountability and objective governance within public sector institutional evaluations.
SCRUM AND ITIL-BASED SUPPORT SYSTEM DESIGN AND IMPLEMENTATION AT RAPHA THERESIA HOSPITAL Kasrizal Kasrizal; Sharipuddin Sharipuddin; Joni Devitra; Gunardi Gunardi
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7004

Abstract

This research addresses the challenges of manual IT service management at Rapha Theresia Hospital, where existing processes lacked systematic tracking and reporting, leading to operational inefficiencies. The purpose was to design and implement a web-based IT support system for systematic documentation of IT requests and repairs, integrating the Scrum agile development methodology with the ITIL framework, and enabling comprehensive IT performance reporting for management evaluation. The study employed a hybrid methodological approach, combining Scrum for iterative development and ITIL for robust service delivery. Research methods included problem identification, and iterative implementation across four sprints with defined Service Level Agreements (SLAs). Rigorous User Acceptance Testing (UAT) validated the system's functionality. Results show successful implementation of a centralized system managing IT requests, assets, and reports, significantly improving operational efficiency, service reliability, and fostering data-driven decision-making. The system enhanced coordination, transparency, and accelerated service resolution within the IT team.
SISTEM PENDUKUNG KEPUTUSAN UNTUK SELEKSI KARYAWAN KONTRAK DI RS MITRA JAMBI MENGGUNAKAN METODE WASPAS: DECISION SUPPORT SYSTEM FOR CONTRACT EMPLOYEE SELECTION AT RS MITRA JAMBI USING THE WASPAS METHOD Muhammad Hendrik Koto; Dodo Zaenal Abidin; Sharipuddin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6388

Abstract

This research aims to develop a decision support system (DSS) to improve the efficiency and objectivity of contract employee selection at Mitra Jambi Hospital. The main problem faced by RS Mitra Jambi is the absence of a special information system for the selection of contract employees, which causes the assessment process to be manual, slow down the workflow, and tend to be subjective. This system is designed using the Weighted Aggregated Sum Product Assessment (WASPAS) method which is proven to be able to produce measurable, transparent, and accurate assessments, by integrating various assessment criteria such as Education, Competence, Motivation, and Attitude to rank candidates. The system development process follows the waterfall method, including requirements analysis, design, implementation, and black-box testing. This web-based system is built with PHP and MySQL database. The results of implementation and testing show that all system functionality runs well, is able to provide more accurate recommendations, reduce subjectivity, and increase selection effectiveness.  However, this study has limitations in data validation, namely the use of 1 real data and 29 simulated data from 30 candidates, due to the absence of comprehensive historical data recapitulation at Mitra Jambi Hospital. This system is expected to optimize the quality of selected candidates and support HR management at RS Mitra Jambi in a professional and accountable manner.
Penerapan Algoritma K-Means Untuk Klasterisasi Balita Rentan Stunting dan Wasting Berdasarkan Indikator Antropometri Rizky Khairun’nisa; Benni Purnama; Sharipuddin Sharipuddin
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.v2i2.155

Abstract

Stunting and wasting are nutritional problems in toddlers that remain a double burden of malnutrition in Indonesia and have an impact on the quality of health and future human resource development. Monitoring the nutritional status of toddlers is generally carried out using anthropometric indicators, but the use of this data is still limited to descriptive analysis. This study aims to apply the K-Means algorithm in clustering infants vulnerable to stunting and wasting based on anthropometric indicators, so that groups of infants with different levels of nutritional vulnerability can be identified. The dataset used consists of infant data with variables of gender, age (months), height (cm), and weight (kg). The research stages included data preprocessing, encoding categorical variables, data normalization, determining the optimal number of clusters using the Elbow and Silhouette Score methods, and analyzing the characteristics of each cluster. The evaluation results showed that the optimal number of clusters was four. Each cluster has different anthropometric characteristics and distributions of stunting and wasting status, ranging from groups with relatively normal nutritional conditions, groups with a tendency toward overnutrition, to groups that are vulnerable to acute and chronic malnutrition. These clustering results provide a more comprehensive and segmented mapping of toddlers, which can be used as a basis for formulating more targeted and data-driven nutrition policies and interventions.
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.
Analisis Sentimen Publik Terhadap Kebijakan Efisiensi Anggaran Menggunakan Naive Bayes, dan SVM Elin Tamaya; Sharipuddin Sharipuddin; Nurhadi Nurhadi
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.v2i2.170

Abstract

Budget efficiency is an important issue in state financial management because it is directly related to government spending priorities and their impact on public service programs. Discussions about budget efficiency policies are widespread on social media platform X, generating diverse public responses, thus necessitating an automated approach to understand public opinion trends more quickly and objectively. This research aims to analyze the sentiment of Indonesian people toward budget efficiency policies and compare the performance of the Naïve Bayes and Support Vector Machine (SVM) algorithms in classifying sentiment. The research data used 10,909 Indonesian-language tweets sourced from a public dataset, which were then processed thru the preprocessing stages including cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Sentiment labeling is performed automatically using the Indonesian Sentiment Lexicon (InSet) approach to categorize data into positive, negative, and neutral sentiments. Feature extraction was performed using Term Frequency–Inverse Document Frequency (TF-IDF), and then the data was divided into training and testing sets with an 80:20 ratio. Model performance evaluation was conducted using a confusion matrix and the metrics of accuracy, precision, recall, and F1-score. The research results show that sentiment distribution is dominated by negative sentiment at 56.78%, followed by positive sentiment at 37.40%, and neutral sentiment at 5.83%. In the classification stage, SVM performed best with an accuracy of 86%, while Naïve Bayes achieved an accuracy of 74%. These findings indicate that SVM is more optimal for sentiment classification on social media text data and can be utilized to more effectively support the analysis of public response to budget efficiency policies.
Komparasi Algoritma SVM dan Random Forest Dalam Sentimen Analisis Review Shopee di Google Play Store Dengan Anova Eko Susanto; Sharipuddin Sharipuddin; Benni Purnama
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.v2i2.177

Abstract

The rapid growth of e-commerce in Indonesia, particularly the Shopee platform, has generated a large volume of user reviews on the Google Play Store, which can be analyzed to understand consumer sentiment. This study aims to compare the performance of the Support Vector Machine (SVM) and Random Forest (RF) algorithms in binary sentiment classification (positive and negative) on Shopee reviews, as well as to statistically test the significance of their differences using One-Way ANOVA. A total of 400,498 reviews were collected via web scraping, preprocessed through text normalization, tokenization, and Indonesian language stemming, and then feature-extracted using TF-IDF and Count Vectorizer. Evaluation results show that SVM achieved an accuracy of 91.77%, precision of 91.49%, recall of 91.77%, and F1-Score of 91.56%, while RF achieved an accuracy of 90.07%, precision of 91.68%, recall of 90.07%, and F1-Score of 90.55%. ANOVA confirmed that the performance difference between the two algorithms is statistically significant (p-value = 0.0007) with a large effect size (η² = 0.1815). Therefore, SVM is recommended as a more optimal and consistent algorithm for automated sentiment analysis of Indonesian e-commerce reviews, while also providing a replicable methodological framework for similar future research.
Co-Authors Ahmad Heryanto Ahmad Yani Ali Sadikin Andeh Lukito Bedine Kerim Benniardi Benniardi Caroline Zahri Darmawijoyo, Darmawijoyo Deris Stiawan Dodi Sandra Dodi Sandra Dodo Zaenal Abidin EFFIYANDI EFFIYANDI Eko Arip Winanto Eko Susanto Elin Tamaya Fachruddin Fachruddin Feranika, Ayu Gunardi Gunardi Hendri Hendri Ibnu Sani Wijaya Idris, Mohd. Yazid Jasmir Jasmir Jasmir Jasmir Joni Devitra Kasrizal Kasrizal Khairuldi Khairuldi Kurniabudi, Kurniabudi Lukito, Andeh Mahyuni Mahyuni MARIA BINTANG Marrylinteri Istoningtyas Martono Martono Martono Martono Martono Mohd Yazid bin Idris Mohd. Yazid Idris Mohd. Yazid Idris Mohd. Yazid Idris Muhammad Hendrik Koto Muhammad Iqram Hidayatullah Muhdi Nurhadi Nurhadi Purnama, Benni Rahmat Budiarto Rifki Williandi Rita Rita Rizky Khairun’nisa SABARIAH . Samsuryadi Samsuryadi SATRIYAS ILYAS Setiawan Assegaf Sherin Devanty Situmorang Syahrial Syahrial Wiken Winata William Yessi Hartiwi Yoant Prasiska Yundari, Yundari Zulwaqar Zain Mohtar