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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Sinergi Scientific Journal of Informatics JITK (Jurnal Ilmu Pengetahuan dan Komputer) Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Pendidikan dan Kebudayaan Journal of Soft Computing Exploration Journal of Advances in Information Systems and Technology J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pendidikan IPA Indonesia Jurnal Abdi Negeri Recursive Journal of Informatics
Subhan Subhan
Universitas Negeri Semarang
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Business Process re-engineering to support the sustainability of the construction industry and sales commodities in large scale transaction during Covid 19 with integrating ERP and Quotation System Budiman, Kholiq; Subhan, Subhan; Efrilianda, Devi Ajeng
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.27969

Abstract

Covid 19 has become a pandemic that has hit all over the world. Almost all sectors are affected by this pandemic, not only in the health sector. The economic and industrial sectors have also suffered severe impacts due to the coronavirus pandemic. This spreading virus does not support economic growth either nationally or globally. Finally, it has an impact on various industrial sectors in the country, from manufacturing to finance. The industry was one of the largest contributors to Indonesia's Gross Domestic Product (GDP) last year. The contribution given from this industry to the 2019 GDP was recorded at 19.62%. Due to this pandemic, according to the Central Statistics Agency (BPS), during February 2020, the importance of all categories of goods decreased compared to January 2020. This stunted industrial development was due to the government's appeal for social distancing; social distancing made it difficult for industry players to make transactions. Several obstacles require re-engineering of business processes in the industry. In general, the industry already has an Enterprise Resource Planning (ERP) system used in the related production process. However, ERP does not enter into the realm of buying and selling or the process of procuring goods with consumers. Therefore we need a Business Process Reengineering as an engineering process to integrate the ERP and the bidding system or quotation system. Using the moving average method as a forecasting method, we can get sustainable sales even during the Covid period, even seen an increase in transactions in the new period, along with the implementation of the quotation information system applied in the re-engineering business process.
Business Process Re-engineering to Support Sustainability of The Sales Commodities in Large Transaction with Quotation System Budiman, Kholiq; Subhan, Subhan; Efrilianda, Devi Ajeng
Scientific Journal of Informatics Vol 8, No 1 (2021): May 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i1.27969

Abstract

Purpose: COVID-19 pandemic has an impact in almost all sectors, including economic and industrial sectors. The aim of this research is to support the sustainability of the sales commodities in large transactions due to pandemic conditions by business process re-engineering. Methods: Using the moving average method as a forecasting method. Result: It can get sustainable sales even during the COVID period, even seen an increase in transactions in the new period, along with the implementation of the quotation information system applied in the re-engineering business process. Novelty: Business Process Reengineering as an engineering process to integrate the ERP and the bidding system or quotation system is needed.
Pelayanan Administrasi Digital untuk Meningkatkan Kinerja Pelayanan Administrasi di Desa Kalisidi Rini Muzayanah; Muhammad Syauqi Al-Haqqi; Subhan Subhan; Apri Dwi Lestari; Muhammad Daffa Izzuddin; Yuliana Putri Setyowati; Fidya Nur Styaningsih; Nur Afan Syarifudin; Ahmad Raihan; Wiyan Herra Herviana; Adam Satrio Kanza; Muhammad Iqhbal Abdillah; Istiqomah Istiqomah; Rafael Vito Adrian; Gading Nur Salmi; Cecep Bagus Surya Karta Atmaja; Budi Prasetio
J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Vol 7, No 1 (2023): April 2023
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/j-abdipamas.v7i1.2826

Abstract

ABSTRACTVillage is the smallest element in the goverment administration which has an obligation to realize the welfare of the village community. To create the welfare of the community, administrative services must be carried out effectively by implementing digitalization. This activity will identify training activities on digitizing administrative services carried out in Kalisidi Village and analyze the extent of the influence of digitalization on improving village government performance. The methods that the researcher uses in writing this article include Forum Group Discussion (FGD), demonstration, and evaluation. The surveys carried out included an analysis of service needs in Kalisidi village, demonstration of the use of services, and observation of satisfaction with the service system of Kalisidi Village that had been developed. The results of the training activities carried out can be seen from the understanding of the skateholder of Kalisidi village in using the Kalisidi village information management service system. The existence of training on digitizing administrative services should maximize the use of digital service information systems so that the performance of the Kalisidi village government increases.. Kata Kunci: Digitalization; Administration; Village;Training.   ABSTRAKDesa merupakan unsur terkecil dalam tata kelola pemerintahan yang memiliki kewajiban untuk menciptakan kesejahteraan masyarakat desa. Untuk menciptakan kesejahteraan masyarakat, tata kelola pelayanan administrasi harus dilakukan secara efektif dengan mengimplementasikan Digitalisasi. Kegiatan ini akan mengidentifikasi kegiatan pelatihan digitalisasi pelayanan administrasi yang dilaksanakan di Desa Kalisidi untuk mengetahui sejauh mana pengaruh digitalisasi terhadap peningkatan kinerja pemerintahan desa dalam kegiatan pelayanan administrasi. Metode yang peneliti gunakan dalam penulisan artikel ini antara lain Forum Group Discussion (FGD), demonstrasi, dan evaluasi. Survei yang dilakukan meliputi analisis kebutuhan layanan di desa Kalisidi, demonstrasi penggunaan layanan, dan observasi kepuasan terhadap sistem pelayanan Desa Kalisidi yang telah dikembangkan. Hasil dari kegiatan pelatihan yang dilakukan dapat dilihat dari pemahaman perangkat desa Kalisidi dalam menggunakan sistem layanan manajemen informasi desa kalisidi. Adanya pelatihan digitalisasi pelayanan administrasi hendaknya memaksimalkan penggunaan sistem informasi pelayanan digital agar kinerja pemerintah desa Kalisidi meningkat. Kata Kunci: Digitalisasi; Administration; Desa; Pelatihan.
Enhancing service excellence: analyzing natural language question answering with advanced cosine similarity Arifudin, Riza; Subhan, Subhan; Ifriza, Yahya Nur
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1773-1781

Abstract

Information related to student services in higher education must be produced and disseminated in various forms. Covid-19 pandemic, student services with a remote model related to this question and answer become very important. To carry out this automation process, the advanced cosine similarity method is used to check the similarity of the questions to the database and statistics to calculate the similarity value of each word. The proposed paper proceeds with three phases. The first stage to solve this problem is the data processed in question; the professional next step is word insertion. It converts alphanumeric words to vector format. Each word is a vector that represents a point in space with a certain dimension. The recommended advanced cosine similarity data still must be analyzed into a statistical approach. We will measure accuracy to get results so that optimal results and answers are obtained, research procedures are carried out based on literature study, initial data collection and observation, system development, system testing, system analysis, and system evaluation. This research implemented in universities with student chat automation applications providing an accuracy 83.90% given by natural language question answering system (NLQAS) so that it can improve excellent service in universities.
SOCIAL MEDIA COMMENTS FOR GOVERNMENT INSTITUTION VIDEO CLASSIFICATION USING MACHINE LEARNING M. Faris Al Hakim; Subhan Subhan; Prasetyo Listiaji
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 2 (2024): JITK Issue November 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i2.5187

Abstract

YouTube is a social media site that is quite familiar and is used as a means of disseminating video-based information. With a fairly high number of users, YouTube can become a communication medium for audiences, including government agencies. The user’s responses in comments reflect the nuance of the presented video. This research aims to determine the best algorithm for classifying video types based on user comments. Several machine learning algorithms used to carry out classification are Decision Tree, Random Forest, K-Nearest Neighbor, Support Vector Machine, and Logistic Regression. K-Fold Cross Validation was chosen as a method to evaluate the performance of classification algorithms based on the accuracy values. of these algorithms in classifying YouTube videos based on comments. The first experiment with the highest ratio of training and test data for each algorithm was obtained at a ratio of 90:10, with respectively 78.99%, 86.21%, 84.01%, 72.72%, and 79.31%. In the second experiment with k-fold cross validation using a ratio of 90:10, the highest accuracy for each algorithm was obtained at a value of k = 10, which was respectively 74.39%, 81.34%, 78.05%, 85.21%, and 72.15%. From these results, it can be concluded that the most suitable algorithm for classifying YouTube videos based on comments is the Random Forest algorithm with a training and test data ratio of 90:10 and SVM with 10-cross-fold validation. These results show that a larger portion of data for learning has a positive impact on algorithm performance.
Improved recommender system using Neural Network Collaborative Filtering (NNCF) for E-commerce cosmetic product Subhan, Subhan; Syarif, Deny Lukman; Widhihastuti, Endah; Rakainsa, Senda Kartika; Sam'an, Muhammad; Ifriza, Yahya Nur
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.014

Abstract

This study presents an enhanced recommender system tailored for e-commerce platforms specializing in cosmetic products. Traditional recommender systems often need help providing accurate and personalized recommendations due to the complexity and subjectivity inherent in cosmetic preferences. In e-commerce, personalized product recommendations are crucial to improving user engagement and driving sales. This paper presents an innovative approach to enhance recommendation systems by leveraging neural network collaborative filtering techniques for the cosmetic product domain. The proposed method integrates neural networks into collaborative filtering, namely neural network collaborative filtering with improved preprocessing step. To validate the effectiveness of our proposed system, extensive experiments were conducted using real-world e-commerce cosmetic datasets "eCommerce Event History in Cosmetics Shop".   Additionally, we evaluate the system's performance using historical e-commerce event data in cosmetics stores, demonstrating the system's effectiveness with mean reciprocal ratings (MRR) and normalized discount cumulative gain (NDCG). Evaluation Metrics of MRR and NDCG in this study got 0.56 and 0.60, respectively, with a split of the data: 70% train data, 15% validation data, and 15% test data. This study obtained better evaluation metrics than the previous study, which had an MRR of 0.31 and NDGC of 0.32. Furthermore, this model exhibits robustness against data sparsity and cold-start problems commonly encountered in e-commerce platforms. This research advances knowledge of recommendation systems and paves the way for more personalized and efficient online shopping experiences.
Rainfall prediction in Blora regency using mamdani's fuzzy inference system Damayanti, Dela Rista; Wicaksono, Suntoro; Hakim, M. Faris Al; Jumanto, Jumanto; Subhan, Subhan; Ifriza, Yahya Nur
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.69

Abstract

In the case study of weather prediction, there are several tests that have been carried out by several figures using the fuzzy method, such as the Tsukamoto fuzzy, Adaptive Neuro Fuzzy Inference System (ANFIS), Time Series, and Sugeno. And each method has its own advantages and disadvantages. For example, the Tsukamoto fuzzy has a weakness, this method does not follow the rules strictly, the composition of the rules where the output is always crisp even though the input is fuzzy, ANFIS has the disadvantage of requiring a large amount of data. which is used as a reference for calculating data patterns and the number of intervals when calculating data patterns and Sugeno has the disadvantage of having less stable accuracy results even though some tests have been able to get fairly accurate results. In research on the implementation of the Mamdani fuzzy inference system method using the climatological dataset of Blora Regency to predict rainfall, it can be concluded as follows: (1) The fuzzy logic of the Mamdani method can be used to predict the level of rainfall in the city of Blora by taking into account the factors that affect the weather, including temperature, wind speed, humidity, duration of irradiation and rainfall. (2) Fuzzy logic for prediction with uncertain input values is able to produce crisp output because fuzzy logic has tolerance for inaccurate data. (3) The results of the accuracy of calculations using the Mamdani fuzzy inference system method to predict rainfall in Blora Regency are 66%.
Student Adaptability Level Optimization using GridsearchCV with Gaussian Naive Bayes and K-Nearest Neighbor Methods as an Effort to Improve Online Education Predictions Arifudin, Riza; Subhan, Subhan; Ifriza, Yahya Nur
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 14 No. 2 (2025)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v14i2.88972

Abstract

This increase in adaptability is sought through the application of optimization techniques using the Gaussian Naive Bayes and K-Nearest Neighbor (KNN) methods. This research utilizes GridSearchCV to find optimal parameter configurations in both methods. The Gaussian Naive Bayes method will be used to analyze and classify student adaptability patterns based on historical data. In addition, the K-Nearest Neighbor (KNN) method will be used to utilize information from students who have similar characteristics to increase prediction accuracy. The main steps of this research involve collecting student adaptability data from online education sources, processing the data to obtain relevant features, and using GridSearchCV to find the best parameters in the Gaussian Naive Bayes and KNN models. By optimizing the prediction model using the GridSearchCV technique, this research is expected to make a significant contribution to improving the quality of online education, creating a more adaptive learning environment, and helping educational institutions in designing appropriate learning models. The Receiver Operating Characteristic (ROC) curve also showed a superior Area Under the Curve (AUC) score for KNN at 0.89, compared to GNB 0.81, confirming that the optimized KNN model offers significantly better sensitivity and specificity in predicting student adaptability levels in online education.
PENGARUH PEMBELAJARAN LITERASI DIGITAL PADA KOMPETENSI TEKNOLOGI INFORMASI DAN KOMUNIKASI (TIK) CALON GURU Prasetyo Listiaji; Subhan Subhan
Jurnal Pendidikan dan Kebudayaan Vol. 6 No. 1 (2021)
Publisher : Badan Standar, Kurikulum, dan Asesmen Pendidikan, Kemendikdasmen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24832/jpnk.v6i1.1948

Abstract

Saat ini guru dituntut memiliki kemampuan mengintegrasikan TIK dalam pembelajaran untuk menjawab tantangan pembelajaran di abad 21. Salah satu upaya untuk meningkatkan kompetensi TIK guru adalah dengan menerapkan pembelajaran literasi digital di perguruan tinggi yang mencetak lulusan calon guru. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh pembelajaran literasi digital pada kompetensi TIK mahasiswa calon guru. Penelitian menggunakan pendekatan kuantitatif berupa survei kepada mahasiswa Program Studi Kependidikan sebagai calon guru dan selanjutnya dilakukan wawancara untuk proses triangulasi data. Subjek penelitian adalah mahasiswa calon guru di Universitas Negeri Semarang. Hasil survey menunjukan kedua kelompok responden memiliki kompetensi TIK yang baik. Namun setelah diteliti lebih dalam dari data triangulasi hasil wawancara komptensi TIK, calon guru yang telah memperoleh pembelajaran literasi digital lebih unggul pada aspek pemahaman TIK dalam pendidikan, organisasi, dan administrasi, dan pembejajaran guru profesional. Pengaruh pembelajaran digital terhadapkompetensi TIK calon guru pada ketiga aspek tersebut menjadi rekomendasi diterapkannya pembelajaran literasi digital pada perguruan tinggi yang mencetak calon guru. Currently, teachers are required to have the ability to integrate ICT in learning to answer the challenges of learning in the 21st century. One of the efforts to improve teachers’ ICT competencies is to implement digital literacy learning in universities that produce prospective teacher graduates. This study aims to determine how the effect of digital literacy learning on the ICT competence of pre-service teacher students. The research uses a quantitative approach which is carried out in the form of a survey to students of the Education Study Program as pre-service teachers and then interviews are carried out for the data triangulation process. The research subjects were pre-service teacher students at Universitas Negeri Semarang. The survey questionnaire was developed based on the indicators of teacher ICT competence according to UNESCO which consists of 6 aspects. The survey results show that both groups of respondents have good ICT competencies. However, after a more in-depth investigation of the triangulation data from the ICT competency interviews, preservice teachers who have obtained digital literacy learning are superior in aspects of understanding ICT in education, organization and administration, and teaching professionalteachers. The influence of digital learning on the ICT competence of pre-service teachers in these three aspects becomes a recommendation for the implementation of digital literacy learning in universities that create pre-service teachers.
Quality Analysis of E-Learning Website (Elena) Using Webqual 4.0 Method and Importance Performance Analysis (IPA) Pamungkas, Dimas Hardi; Subhan, Subhan
Journal of Advances in Information Systems and Technology Vol 5 No 2 (2023): October
Publisher : Department of Computer Science, Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v5i2.68168

Abstract

E-learning website is one of the important elements in education which has a role as an online learning medium. It is important to measure the quality of e-learning website services to maintain the ongoing use of the e-learning website. This research was conducted for evaluation in order to measure and improve the quality of e-learning website services at Semarang State University (Elena) using the Webqual 4.0 method and Importance Performance analysis (IPA) which has a focus on four variables, which that is; usability, information quality, service interaction quality, and overall, as well as to determine the value of user perceptions and expectations of the services that have been provided. Based on the results of the calculations that have been carried out, the Customer Sutisfaction Index (CSI) value is 76.4%, meaning that the respondents stated that they were satisfied with the performance of Elena's e-learning website. The results of calculating the average value of the gap (Gap) on Elena's e-learning website still show a significant negative value of -0.64, these results indicate that the performance level of Elena's e-learning website still does not meet user expectations. The results of the analysis of the IPA quadrants obtained 2 attributes which were included in quadrant I, 10 attributes entered in quadrant II, 7 attributes entered in quadrant III, and 4 quadrants entered in quadrant IV. This research is expected to provide positive input for website managers to be able to improve the quality of services provided to users in the future.
Co-Authors Adam Satrio Kanza Ahmad Andri Alfian Ahmad Raihan Aji Purwinarko, Aji Anggyi Trisnawan Putra Apri Dwi Lestari Arif Widiyatmoko, Arif Budi Prasetio Budi Prasetiyo, Budi Budiman, Kholiq Cecep Bagus Surya Karta Atmaja Daiki Nakamura Damayanti, Dela Rista Efrilianda, Devi Ajeng Fajriani, Nurulia Fateah, Nur Fidya Nur Styaningsih Gading Nur Salmi Hakim, M Faris Al Hakim, M. Faris Al Istiqomah Istiqomah Istiqomah, Rofita Jumanto Jumanto Jumanto, Jumanto Listiaji, Prasetyo Muhammad Daffa Izzuddin Muhammad Iqhbal Abdillah Muhammad Syauqi Al-Haqqi Naufal Afif Sadewa Nur Afan syarifudin Nur Fateah Pamungkas, Dimas Hardi Rafael Vito Adrian Rakainsa, Senda Kartika Rini Muzayanah Riza Arifudin Sam'an, Muhammad Syarif, Deny Lukman Wicaksono, Suntoro Widhihastuti, Endah Widhiya Ninsiana Wiyan Herra Herviana Yahya Nur Ifriza Yuliana Putri Setyowati Zaenuri Mastur