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All Journal Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sinkron : Jurnal dan Penelitian Teknik Informatika CogITo Smart Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal of Education Technology JURTEKSI Infotekmesin Journal of Information Systems and Informatics Jurnal Sistem Komputer dan Informatika (JSON) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Pendidikan dan Teknologi Indonesia Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Pengabdian Mitra Masyarakat (JPMM) Electronic Journal of Education, Social Economics and Technology Bulletin of Social Informatics Theory and Application CSRID Southeast Asia Journal on Open and Distance Learning
Rujianto Eko Saputro
Universitas Amikom Purwokerto
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Pendampingan dan Pelatihan Metodologi Penelitian Kuantitatif Bagi Mahasiswa Pusat Studi MGM Agung Prasetyo; Arum Vika Ndari; Armeyta Putri Tanzilla; Rujianto Eko Saputro; Anugerah Bagus Wijaya; Aulia Hamdi; Suliswaningsih Suliswaningsih
Jurnal Pengabdian Mitra Masyarakat (JPMM) Vol 5, No 2: Oktober (2023)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jpmm.v5i2.2820

Abstract

AMIKOM University in Purwokerto, through its 6 study centers, requires and trains each student to write scientific papers, such as scientific reports, articles, theses, and scientific journals. The survey results agreed upon by the partners highlight several issues in this program. These issues include students' lack of understanding regarding the core issues in research, insufficient preparedness in creating suitable materials, theories, and references before designing a research proposal, and ambiguity in formulating research problems. Students also lack understanding of the research methodology they will use and are not accustomed to writing and citing scientifically. Many students still do not understand research methodology and are less skilled in designing research proposals. The learning process in lectures often feels monotonous because they are dominated by speeches and Q&A sessions, and students are not actively involved enough in searching and digging for information or theories. Only a few students get the opportunity to participate in guided exercises in formulating problems, selecting theories relevant to the problem, and choosing research methodology. This becomes a challenge that must be addressed in this program. The solution to these problems is to conduct training and mentoring for students to improve the quality of student research. In implementing this service, we use the Direct Action Method. This method includes several steps, namely Diagnosing, Action Planning, Action Taking, Evaluating, and Learning. These steps refer to the diagnostic process, action planning, action implementation, evaluation, and learning. This service has been successful in increasing the capacity of student human resources and students' abilities in research, which will benefit students in the future.
Optimizing the Blood Donation App with Gamification Using User-Centered Design Sari, Rida Purnama; Fatudin, Arif; Saputro, Rujianto Eko; Arifudin, Dani
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.12988

Abstract

In today's digital era, motivating the younger generation to participate in routine voluntary blood donations is a significant challenge in the health sector. This research aimed to develop a gamified application called Gamified Blood Donation (G-BlooD), designed using the User Centered Design methodology. This application integrates gamification into the blood donation process, with features including donor location information, available blood stock data, and individual donation history. Using gamification elements such as challenges, ranking boards, and emblems enhanced user interactivity and motivation. Evaluation of G-BlooD demonstrated its effectiveness in achieving this goal; it scored 75 (Grade B) on the System Usability Scale (SUS), indicating good usability, while an average total index calculation from all responses on the Likert scale of 84.125% underscored its success in motivating younger generations towards regular blood donations. These results suggest combining digital technology with gamification can encourage recurring voluntary blood donation among younger generations. This research opens avenues for further exploration into leveraging digital technology to address other public health concerns.
Revolutionizing Sustainable Public Transportation: The Go-Bus Mobile App Journey With Design Thinking Saputro, Rujianto Eko; Faturama, Rafi; Sarmini
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13106

Abstract

Bus Rapid Transit (BRT) has become a popular solution to address traffic congestion in Indonesia, including in Banyumas Regency. However, the supporting services provided by the BRT system still require improvement. This study focuses on designing the Go-Bus application, by integrating gamification elements to encourage the usage of Trans Banyumas. The Design Thinking method is used, encompassing the empathy, definition, ideation, prototype, and testing stages. This prototype undergoes User Satisfaction Testing and Single Ease Question (SEQ). the average score of 84.84% has been reached from the evaluation of 11 tasks by six respondents. Then, satisfaction score of 6.73 indicates Go-Bus as a user-friendly and satisfying application. This research aims to address challenges in motivating and altering user behavior to utilize public transportation. By incorporating gamification into the UI/UX design of the application, Go-Bus offers a solution that enhances user motivation, satisfaction, and encourages a shift towards public transportation usage
Application of the XGBoost Model with Hyperparameter Tuning for Industry Classification for Job Applicants Syahputra, Akhmal Angga; Rujianto Eko Saputro
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13840

Abstract

The development of technology and changes in job market dynamics have created new challenges in aligning education with industry needs. In this research, the XGBoost model with hyperparameter tuning was applied for industry classification on job applicant data taken from the Kaggle dataset LinkedIn Job Postings in 2023. This dataset consists of 23 attributes with a total of 33,085 job vacancy data points. The experimental results show that both the model without hyperparameter tuning and with GridSearchCV produce the same classification accuracy, which is 0.89 or 89%, with stable precision, recall, and F1-Score values. The best parameters found in this study are colsample_bytree = 1.0, learning_rate = 0.3, max_depth = 6, min_child_weight = 1, n_estimators = 100, and subsample = 1.0. However, cross-validation using k-fold shows a significant increase in accuracy to 0.90, or 90%. This finding confirms that the use of cross-validation can improve the performance estimation of the model more accurately and robustly by utilizing all available data for training and testing. Moreover, the implementation of cross-validation demonstrates the importance of leveraging all data points to enhance model reliability and robustness. Future research can explore alternative hyperparameter tuning methods and apply the model to larger datasets to further validate the generalizability and reliability of the XGBoost model in different application contexts. Thus, this study underscores the significance of rigorous model evaluation techniques in achieving high-performing machine learning models
Aplikasi Damai : Desain Persuasif Aplikasi Konsultasi Kesehatan Mental Berbasis Mobile Menggunakan User Centered Design Ria Indriyani; Rujianto Eko Saputro; Nia Millatul Izza; Fery Afriansyah; Hasna Salsa Dhia; Samsul Aimah; Irwansyah Munandar; Radeta Tea Makdatuang
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2204

Abstract

Mental health is health related to a person's emotional, mental and psychological condition. Anxiety disorders are conditions in which individuals experience anxiety for short periods of time or intense episodes, where this anxiety can occur for no apparent reason. Damai is a mobile-based application designed to help overcome mental health problems, especially anxiety disorders among teenagers. This research focuses on designing a user interface that involves users directly at every stage of UCD, starting from user needs, concept design, to implementation of application prototypes. The success of this research was designing a mobile-based mental health consultation application to help teenagers who suffer from mental health. This application successfully provides several features such as mental health tests, online or offline counseling and pharmacy services. In trials conducted on 6 participants, the success of the trial can be concluded that the average direct success was 100%, the misclick rate was 25%, and the average duration was 38.1 seconds.
Building Sustainable Communities: SIMARET Development for Financial Transparency with MDALC Approach Saputro, Rujianto Eko; Nanjar, Agi; safitri feriawan, Titi
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14150

Abstract

The increasing need for financial transparency and efficiency in community-level governance, particularly within Rukun Tetangga (RT) in Indonesia, calls for innovative solutions. This study presents the development of SIMARET, a mobile application designed to enhance the management of RT financial activities and resident participation, using the Mobile Application Development Life Cycle (MDALC) approach. The research aims to address the challenges of manual financial management, such as lack of transparency and difficulties in tracking funds and activities like neighborhood watch (Siskamling). SIMARET incorporates key features such as digital tracking of resident contributions (jimpitan), QR code-based attendance for Siskamling, and automated financial reports. The system was developed through MDALC’s structured phases: identification, design, development, testing, and deployment. Blackbox Testing and User Acceptance Testing (UAT) were conducted to ensure functionality and user satisfaction. The results show a high satisfaction rate of 97%, confirming that SIMARET simplifies financial administration and enhances community participation. The study also highlights the application’s contribution to the United Nations Sustainable Development Goals (SDG) 16 by promoting transparency and effective governance at the local level. Although SIMARET demonstrates significant potential, further research is recommended to improve its user interface design and expand its implementation in other communities.
Machine Learning and Deep Learning Approaches for Energy Prediction: A Systematic Literature Review Nanjar, Agi; Saputro, Rujianto Eko; Berlilana, Berlilana
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14208

Abstract

This paper offers a literature review on the application of Machine Learning (ML) and Deep Learning (DL) techniques in energy prediction. Contemporary energy systems' challenges, such as load fluctuations and uncertainties linked to renewable energy sources, render traditional methods like ARIMA and linear regression insufficient. The objective of this paper is to identify the most widely used ML and DL approaches, compare their performance against conventional methods, and explore the implementation challenges along with potential solutions. The methodology for this literature review involves analyzing publications from Scopus, IEEE Xplore, and ScienceDirect covering the period from 2019 to 2024. The findings indicate that DL methods, particularly Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, are effective in handling sequential data, while hybrid models like CNN-GRU enhance prediction accuracy in innovative grid applications. Challenges identified include overfitting and data complexity, which can be addressed through regularization techniques and computational optimization using GPUs. In conclusion, this paper asserts that ML and DL play a significant role in improving prediction accuracy and facilitating the transition towards sustainable energy and smart grids. To further enhance performance in the future, the paper recommends the development of ensemble models and the integration of attention mechanisms.
PROGRAM PENDAMPINGAN PENULISAN ILMIAH UNTUK MENINGKATKAN JUMLAH PUBLIKASI ILMIAH MAHASISWA Sarmini Sarmini; Rujianto Eko Saputro; Fandy Setyo Utomo; Hanif Hidayatulloh; Ria Indriyani; Rio Fadly Ramadhan
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 4 (2023): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i4.17570

Abstract

ABSTRAKKurangnya pengetahuan dan keterampilan mahasiswa Fakultas Ilmu Komputer untuk menulis artikel ilmiah menyebabkan rendahnya jumlah luaran jurnal ilmiah yang dihasilkan oleh mahasiswa sebagai luaran program Merdeka Belajar Kampus Merdeka (MBKM) di semester gasal tahun akademik 2022/2023. Berdasarkan permasalahan tersebut, kami mengusulkan pelaksanaan kegiatan webinar pendampingan penulisan jurnal ilmiah bagi mahasiswa Fakultas Ilmu Komputer yang bertujuan untuk meningkatkan kemampuan menulis artikel ilmiah dan meningkatkan jumlah publikasi ilmiah mahasiswa sebagai luaran program Merdeka Belajar Kampus Merdeka. Ada tiga tahapan dalam pelaksanaan kegiatan yaitu tahap persiapan, implementasi dan evaluasi. Kegiatan pendampingan dilakukan secara daring dengan menghadirkan narasumber dari Universiti Teknikal Malaysia (UTeM) dan diikuti oleh 117 mahasiswa yang mengikuti program MBKM di semester genap 2022/2023. Dampak dari kegiatan webinar yang telah dilaksanakan yakni meningkatnya jumlah publikasi artikel ilmiah mahasiswa Fakultas Ilmu Komputer sebagai luaran program MBKM di semester genap tahun akademik 2022/2023. Berdasarkan data yang diperoleh dari Fakultas Ilmu Komputer Universitas AMIKOM Purwokerto terdapat sejumlah 192 tulisan artikel ilmiah mahasiswa yang telah dikirimkan ke beberapa jurnal nasional. Kata kunci: assistance; merdeka belajar kampus merdeka; scientific writing; collaboration; research ABSTRACTComputer Science Faculty students' lack of knowledge and skills to write scientific articles has resulted in the low number of scientific journals produced by students as outputs of the Merdeka Belajar Kampus Merdeka (MBKM) Program in the odd semester of the 2022/2023 academic year. Based on these problems, we propose implementing a webinar to assist scientific journal writing for students of the Faculty of Computer Science, which aims to improve the ability to write scientific articles and increase the number of students' scientific publications as an output of the Merdeka Belajar Kampus Merdeka program. There are three stages in implementing activities: preparation, implementation, and evaluation. Mentoring activities were carried out online by presenting resource persons from Universiti Teknikal Malaysia (UTeM) and were attended by 117 students taking part in the MBKM program in the even semester 2022/2023. The impact of the webinar activities that have been carried out is the increase in the number of publications of scientific articles by Faculty of Computer Science students as an output of the MBKM program in the even semester of the 2022/2023 academic year. Based on data from the Faculty of Computer Science, Universitas AMIKOM Purwokerto, 192 student scientific articles have been submitted to several national journals. Keywords: accompaniment; study center; games; collaboration; research
PELATIHAN PENGISIAN BEBAN KERJA DOSEN (BKD) MELALUI SISTER PADA DOSEN FAKULTAS ILMU KOMPUTER UNIVERSITAS AMIKOM PURWOKERTO Rujianto Eko Saputro; Diah Ratna Febrianti; Inka Saputri; Sarmini Sarmini
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 7, No 4 (2023): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v7i4.17792

Abstract

ABSTRAKMasih kurangnya pemahaman dosen terkait pengisian BKD melalui SISTER menyebabkan beberapa dosen merasa kesulitan dalam melakukan pengisian BKD, hal ini berdampak pada ketepatan waktu dosen dalam mengirimkan laporan BKD kepada asesor. Keterlambatan tersebut juga mengakibatkan asesor terlambat dalam memeriksa dan memberikan penilaian, yang pada akhirnya dosen menjadi terlambat untuk melaporkan laporan BKD kepada lembaga terkait. Maka dari itu perlu adanya kegiatan pelatihan untuk menyamakan persepsi dosen dalam pengisian BKD, dengan pelatihan ini diharapkan mampu meningkatkan pengetahuan, kemampuan dan ketelitian dosen pada saat mengisi BKD. Kegiatan pelatihan ini bertujuan untuk membantu mempermudah dosen dalam melakukan pengisian BKD melalui SISTER dan juga meningkatkan ketepatan waktu dosen dalam pengumpulan laporan BKD. Metode pelaksanaan kegiatan terdiri dari tahap perencanaan, tahap pelaksanaan dan tahap evaluasi. Kegiatan pelatihan diberikan kepada dosen dengan memberikan pemaparan materi, tes setelah pelatihan dan tanya jawab kepada dosen sebelum kegiatan pelatihan diakhiri. Berdasarkan hasil evaluasi kegiatan menunjukkan bahwa kegiatan pelatihan dapat diikuti dan dipahami dengan baik oleh peserta dan sebanyak 80% peserta setelah mengiktui kegiatan pelatihan dapat menyelesaikan pengisian BKD dan menyimpan permanen laporan BKD. Kata kunci: pelatihan; pengisian; BKD; SISTER; dosen. ABSTRACTThere is still a lack of understanding regarding filling in the BKD through SISTER, causing some lecturers to find it difficult to fill in the BKD, this has an impact on the tighter time for lecturers in sending BKD reports to assessors. This delay also results in an assessor being late in examining and providing an assessment, which ultimately results in the lecturer being late in reporting the BKD report to the relevant institution. Therefore, there is a need for training activities to equalize lecturers' perceptions in filling out the BKD. With this training, it is hoped that it will be able to increase the knowledge, ability and accuracy of lecturers when filling out the BKD. This training activity aims to help make it easier for lecturers to fill in BKD through SISTER and also increase lecturers' timeliness in collecting BKD reports. The activity implementation method consists of the planning stage, implementation stage and evaluation stage. Training activities provided to lecturers include presentation of material, tests after training and questions and answers to lecturers before the training activities end. Based on the results of the activity evaluation, it shows that the training activities can be followed and understood well by the participants and as many as 80% of participants after participating in the training activities can complete filling in the BKD and keep a permanent BKD report. Keywords: training; filling; BKD; SISTER; lecturer.
Novel Predictive Framework for Student Learning Styles Based on Felder-Silverman and Machine Learning Model Maulana Baihaqi, Wiga; Eko Saputro, Rujianto; Setyo Utomo, Fandy; Sarmini, Sarmini
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.408

Abstract

This study analyzes data from the Open University Learning Analytics Dataset to evaluate how students' interactions with Virtual Learning Environment (VLE) materials influence their final outcomes. This research aims to formulate and build a novel predictive framework based on the Felder-Silverman and Machine Learning Model for student learning styles. Based on these objectives, this research provides novelty and contributions since it enhances student data analysis, uses a learning model using Felder-Silverman Learning Style Model (FSLSM) to give a more comprehensive understanding of students' learning styles, and improves prediction accuracy by introducing Artificial Neural Network (ANN) and feature selection using Random Forest. The data used includes 3 main files: vle.csv, which contains information about the materials and activities in the VLE; studentVle.csv, which records students' interactions with the materials; and studentInfo.csv, which provides demographic information of students and their final outcomes. The analysis process involved data merging and processing, including handling of missing values, data type conversion, as well as mapping activity types to learning style features based on the FSLSM. We use the Random Forest feature selection method, as well as data imbalance handling techniques such as oversampling, to improve model performance. The applied classification models include Logistic Regression, K-Nearest Neighbor, Random Forest, Support Vector Machine (SVM), and ANN. The analysis results showed that after tuning, the Random Forest model achieved 97% accuracy, while SVM achieved 97% accuracy as well, with better performance than previous studies. This research highlights the importance of comprehensive data integration and appropriate processing techniques in improving the accuracy of student learning style prediction. Based on the increase in accuracy results, it can be beneficial for more effective personalized learning and improve our understanding of students' learning style preferences. The research advances knowledge and provides practical applications for educators to tailor their teaching strategies.
Co-Authors Adam Prayogo Kuncoro Adiatma, Febriansyah Husni Adiya, Az Zahra Dwi Nur Anugerah Bagus Wijaya Armeyta Putri Tanzilla Arum Vika Ndari Aulia Hamdi Azhari Shouni Barkah Bagaskoro, Galih Berlilana Berlilana Cahyo, Samsul Dwi Chyntia Raras Ajeng Widiawati Dani Arifudin Deasy Komarasary Dhanar Intan Surya Saputra Dhanar Intan Surya Saputra Diah Ratna Febrianti Ely Purnawati Embong Octavianto Fandy Setyo Utomo Fatudin, Arif Faturama, Rafi Fery Afriansyah Filanzi, Shendy Giat Karyono Hanif Hidayatulloh Hasna Salsa Dhia Ikmah Ikmah Ilham, Rifqi Arifin Indriyani, Ria Inka Saputri Irwansyah Munandar Ismail, Dimas Shafa Malik Junianto, Haris Kusuma, Bagus Adhi Latif, Imam Sofarudin Maharani, Revalyna Octavia Maulana Baihaqi, Wiga Mohd. Hafiz Zakaria Nanjar, Agi Nia Millatul Izza Nurfaizi, Maulana Pandu W, Muhammad Arfianto Prasetyo, Agung Pungkas Subarkah Purwadi Purwadi Putranto, R. Vitto Mahendra Radeta Tea Makdatuang Ria Indriyani Rio Fadly Ramadhan Rizqi Aulia Widianto Rohmah, Umdah Aulia Rosana Fadila Sari safitri feriawan, Titi Safitri Maharani, Titi Salam, Sazilah Samsul Aimah Saputra , Dhanar Intan Surya Saputra, Alfin Nur Aziz Sari, Rida Purnama Sarmini Sarmini - Sarmini Sarmini Sarmini Sazilah Salam Serli, Serli Sofa, Nur Sri Hartini Suliswaningsih Syahputra, Akhmal Angga Tarwoto, T Toni Anwar Turino, Turino Wahyuni, Irmawati Tri Wenti Risma Damayanti Wiga Maulana Baihaqi Yuli Purwati Yulianto, Koko Edy