Article Per Year (5 Year)
p-Index From 2021 - 2026
4.566
P-Index
This Author published in this journals
All Journal ESENSI: JURNAL BISNIS DAN MANAJEMEN RABIT: Jurnal Teknologi dan Sistem Informasi Univrab INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal PTK dan Pendidikan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Generation Journal Reforma: Jurnal Pendidikan dan Pembelajaran Jurnal Teknik Informatika (JUTIF) JiTEKH (Jurnal Ilmiah Teknologi Harapan) Journal of Electrical Engineering and Computer (JEECOM) Jurnal UNITEK Media Jurnal Informatika Insearch: Information System Research Journal Informatics, Electrical and Electronics Engineering Joutica : Journal of Informatic Unisla Insand Comtech : Information Science and Computer Technology Journal Jurnal Publikasi Ilmu Komputer dan Multimedia
Purnomo Hadi Susilo, Purnomo Hadi
Universitas Islam Lamongan
Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

Published : 35 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 35 Documents
Search

 1   2   3   4 
Development of Smart Study Web Application for Classifying Student Material Understanding Levels Using Naive Bayes Classifier Susilo, Purnomo Hadi; Mujtahidah, Vita Ihwatin; Nawafilah, Nur Qomariyah; Ramli, Azizul Azhar
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5507

Abstract

The rapid development of information and communication technology requires adaptive digital learning systems that are able to evaluate students’ learning outcomes objectively. However, the Smart Study application previously functioned only as a quiz delivery platform and lacked analytical capabilities to assess students’ levels of material understanding, particularly in practical courses such as Computer Networks. This study aims to design and develop a web-based Smart Study application integrated with the Naive Bayes classification algorithm to determine students’ understanding levels based on quiz performance data. The research methodology includes data collection from Informatics Engineering students at Universitas Islam Lamongan, followed by data preprocessing through cleaning and categorical conversion of features, including final score, average response time, response time variability, and correct incorrect response time ratio. The dataset was divided into 80% training data and 20% testing data. The Naive Bayes model was trained and evaluated using accuracy, precision, recall, F1-score, and a confusion matrix. The results show that the proposed model achieved an accuracy of 75%, correctly classifying 15 out of 20 testing samples. The model demonstrated strong performance in identifying the Comprehended class with an F1-score of 0.83, while performance for the Not Comprehended class was lower with an F1-score of 0.55 due to class imbalance. This study contributes to the fields of learning analytics and educational data mining by demonstrating the integration of a simple machine learning method into an e-learning application to support early detection of learning difficulties and data-driven evaluation of digital learning processes in higher education.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PENGURUS OSIS MENGGUNAKAN METODE FUZZY TSUKAMOTO: Metode Fuzzy Tsukamoto M. Asep Thosin; Purnomo Hadi Susilo; Agus Setia Budi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8450

Abstract

The selection process of Student Council (OSIS) administrators is commonly conducted manually, which may lead to bias and inconsistency in decision-making. This study aims to develop a web-based Decision Support System (DSS) using the Fuzzy Tsukamoto method to provide a more objective and measurable recommendation for selecting OSIS members. The research employed the Research and Development (R&D) approach following the ADDIE model, which consists of analysis, design, development, implementation, and evaluation stages. The assessment of prospective OSIS members was based on six criteria: academic performance, leadership, discipline, responsibility, communication skills, and achievements in academic olympiads. The Fuzzy Tsukamoto method was implemented through fuzzification, rule-based inference, and defuzzification processes to generate final scores and rankings for each candidate. The system was tested using data from 220 prospective OSIS members. Performance evaluation was conducted by comparing the system's recommendations with the supervisor's decisions using a Confusion Matrix. The results indicate that the system is capable of producing consistent and objective candidate rankings while supporting a more effective, transparent, and accurate selection process. The implementation of a web-based DSS utilizing the Fuzzy Tsukamoto method has proven to assist decision-makers in selecting qualified OSIS members according to predefined criteria and improving the overall quality of the selection process in schools. Keywords: Decision Support System, Fuzzy Tsukamoto, Student Council (OSIS), Web-Based DSS, Confusion Matrix.
SISTEM PREDIKSI PERSEDIAAN STOK BARANG DI BUBIN CATERING MENGGUNAKAN METODE SES DAN WMA Istiana Nur Khasanah; Purnomo Hadi Susilo; Mustain Mustain
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Raw material inventory management in catering businesses required an accurate planning system to prevent stock shortages and overstock conditions that could disrupt operational activities. This study aimed to develop a web-based inventory prediction system by implementing the Weighted Moving Average (WMA) and Single Exponential Smoothing (SES) methods and to compare the accuracy of both methods using the Mean Absolute Percentage Error (MAPE). The data used in this study were historical raw material usage records from Bubin Catering covering the period from March 12, 2025, to May 8, 2025. The system was developed using the Laravel framework and included inventory management, incoming goods, outgoing goods, prediction, and detailed calculation features. The results of Black Box Testing showed that all system functions operated as expected. Based on the evaluation of five raw material samples, the WMA method produced MAPE values of 33%, 36%, 24%, 55%, and 41%, while the SES method produced the best MAPE values of 32.53%, 36.80%, 56.70%, 61.00%, and 46.60%. Overall, the WMA method produced lower prediction errors for four of the five raw material samples, whereas the SES method performed better for only one sample. Therefore, the WMA method was more suitable for predicting inventory requirements using the historical data of Bubin Catering in this study.
IMPLEMENTASI BARCODE PADA SISTEM ABSENSI DAN PENGGAJIAN GURU BERBASIS WEB Afin Maulana; Purnomo Hadi Susilo; Agus Setia Budi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8462

Abstract

The management of attendance and teacher payroll at TPQ Baitul Makmur Cumpleng was previously still carried out manually, causing the process of recording attendance, calculating salaries, and preparing reports to take a relatively long time and potentially cause recording and calculation errors. This research aims to implement barcode technology in a web-based teacher attendance and payroll system to improve the efficiency, accuracy, and effectiveness of administrative data management. The system development method used is the Waterfall method which includes needs analysis, system design, implementation, and testing. The system was developed using the CodeIgniter 4 Framework, PHP programming language, MySQL database, and barcode technology as a medium for teacher identification in the attendance process. Attendance data obtained through barcode scanning is automatically stored in the database and used as the basis for calculating salaries, allowances, and deductions in an integrated manner. System testing is carried out through the measurement of the level of process speed by comparing the completion time of administrative activities before and after using the system. The test results show that the system is able to speed up the attendance process, data processing, payroll calculation, and report creation compared to manual methods. In addition, the system is able to reduce recording errors, improve data accuracy, and produce more structured and accessible attendance and payroll information. Thus, the implementation of barcodes in the web-based attendance and payroll system is able to increase the effectiveness and efficiency of administrative management at TPQ Baitul Makmur Cumpleng.
Predicting Daily Goride Orders From Online Hours, Day Type, And Weather Purnomo Hadi Susilo; Mochammad Sihabudin Firdaus Rifani; Affan Bachri; Mustain Mustain; Mochammad Sholikhin
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 2 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i2.16937

Abstract

Daily order fluctuations make it difficult for motorcycle ride-hailing drivers to plan online working time. This study develops an interpretable multiple linear regression model to predict the number of daily GoRide orders from online hours, day type, and weather. The dataset contains 100 driver-day observations collected from eight GoRide driver-partners operating in central Tulungagung. To preserve observation order, the first 70 records were used for training and the last 30 for testing. Day type and weather were expressed as binary indicators, yielding the operational equation ŷ = −1.9887 + 1.0036X₁ + 1.4187Dweekend + 2.3968Dclear. The model obtained R² = 0.8440 and MAPE = 15.62% on training data. On the held-out test set, it achieved R² = 0.8341, MAPE = 13.48%, MAE = 0.989 orders, and RMSE = 1.322 orders. Twenty of 30 predictions (66.7%) were within one order of the actual value, and 26 (86.7%) were within two orders. However, predictions were positively biased by 0.784 orders on average, with 23 of 30 observations overpredicted and a maximum absolute error of 4.458 orders. The model was integrated into a Flask–MySQL web application for data management and interactive prediction. The results show that a compact linear model can provide useful and explainable driver-level estimates, but its reliability remains conditional on the small, locally collected sample. Rolling validation, driver-aware evaluation, richer temporal variables, and count-regression benchmarks are required before operational deployment at scale.
Co-Authors Abdul Rosyid Adani, Ahmad Sabil Affan Bachri Afin Maulana Agus Setia Budi Agus Setia Budi Agus Setia Budi Agus Setia Budi, Agus Setia Ahmad Nabih Abqariy Aisyah Larasati Alief Ulfa Kurnia Ar Rafiq, Izzudin Arda Gusema Susilowati Arifuddin, Muhammad Rizal Bachri, Affan Essa Jaka Abdillah Fitriani, Elly Hartantyo, Sugeng Dwi Heru Kurniawan Horiyah, Horiyah Irawan, M Rudi Istiana Nur Khasanah Jadid, Mohammad Kemal Farouq Mauladi kemal farouq mauladi Laksono, Arief Budi M. Asep Thosin M. Ghofar Rohman Mochammad Sholikhin Mochammad Sihabudin Firdaus Rifani Mubarok, Rifki Muhammad Hasan Wahyudi Mujtahidah, Vita Ihwatin Mustain Mustain Mustain Nafiiyah, Nur Nawafilah, Nur Qomariyah Nur nafi'iyah Nuril Miftaqul Rozaq Ramli, Azizul Azhar Ratna Eka Sari Rif’atul Khoriyah Rizki Prayogo, Puguh Rofiuddin Rohman, Mohammad Ainur Setia Budi, Agus Sholikah Indrawati Sulistyowati Sulistyowati Tri Agustin, Tri Tuwoso Vivin Fitri Lestari Wahyudi, Muhammad Hasan Walid, Miftahul Yahya, Kurnia