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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Tematik : Jurnal Teknologi Informasi Komunikasi Journal of Soft Computing Exploration Advance Sustainable Science, Engineering and Technology (ASSET) KLIK: Kajian Ilmiah Informatika dan Komputer Journal International of Lingua and Technology Digital Transformation Technology (Digitech) International Journal of Multidisciplinary Sciences and Arts Bulletin of Informatics and Data Science Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat Journal of Decision Support System Research
Sussolaikah, Kelik
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Pengembangan Media Pembelajaran Digital Berbasis Canva untuk Meningkatkan Keterlibatan Mahasiswa dalam Pembelajaran Daring Nita, Sekreningsih; Untari, Erny; Sussolaikah, Kelik; Rifai, M. Hafidz
Digital Transformation Technology Vol. 5 No. 1 (2025): Periode Maret 2025
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v5i1.6204

Abstract

Perkembangan teknologi informasi semakin maju dan mendorong pembaharuan dalam proses pembelajaran, terutama di masa pasca pandemi yang menuntut bagi pendidik untuk bisa berinovasi dalam menciptakan media pembelajaran yang menarik. Khususnya di mata kuliah metode numerik pada mahasiswa prodi Teknik Industri UNIPMA. Pada saat pembelajaran daring berlangsung muncul permasalahan yaitu  mahasiswa tidak ada perhatian dan berpartisipasi aktif serta kurangnya motivasi untuk belajar. Hal tersebut disebabkan karena materi yang disajikan terlalu monoton dan kurangnya media visual yang menarik. Faktor keterlibatan mahasiswa merupakan indikator penting untuk mencapai keberhasilan dalam pembelajaran daring, yang berkorelasi langsung dengan pencapaian hasil belajar. Banyak beredar platform desain grafis yang dapat digunakan sebagai media pembelajaran yang bersifat visual, salah satunya adalah canva. Metode dalam penelitian ini adalah deskriptif kualitatif dan data sekunder yang diperoleh dari Sumber data menggunakan pencarian kajian literatur  bersumber dari Research Gate dan Google Scholar (2023-2025). Penelitian ini bertujuan untuk mengembangkan media pembelajaran digital berbasis Canva yang dirancang secara pedagogis dan kontekstual, serta mengevaluasi dampaknya terhadap peningkatan keterlibatan mahasiswa dalam proses pembelajaran daring. Hasil dari penelitian dapat menjadikan kontribusi nyata dalam pengembangan strategi pembelajaran yang inovatif, inklusif, dan adaptif terhadap kebutuhan generasi digital saat ini. Hasil akhir menunjukkan bahwa aplikasi Canva efektif dimanfaatkan sebagai media pembelajaran digital yang kreatif, inovatif dan kolaboratif, sehingga dapat membantu pendidik dalam penyampaian materi dan memudahkan peserta didik untuk memahami materi pembelajaran yang dilakukan secara daring.
Pengaruh Analisa User Experience Quisioner terhadap Website Fakultas Teknik Universitas PGRI Madiun Nugrahanti, Fatim; Sussolaikah, Kelik; Pasyawati, Putri Ramadhani
Digital Transformation Technology Vol. 5 No. 1 (2025): Periode Maret 2025
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v5i1.6573

Abstract

Website Fakultas Teknik Universitas PGRI Madiun merupakan salah satu media untuk menyampaikan informasi yang berhubungan dengan akademik. Dalam aplikasi dan tampilan, sangat penting adanya penilaian dan evaluasi untuk meningkatkan pengalaman pengguna. Website Fakultas Teknik memberikan kemudahan dalam akses, tetapi ada beberapa masalah seperti koneksi internet yang tidak stabil, terkait dengan pembelajaran yang harus menyesuaikan metode dalam blended learning saat ini, serta interaksi antara mahasiswa dan dosen yang kurang baik selama pembelajaran tatap muka, sehingga menurunkan kualitas dan efektivitas pembelajaran. Penilain terhadap tingkat User Experience pada Website Fakultas Teknik secara umum belum dilakukan sehingga belum diketahui , apakah termasuk dalam kategori baik atau tidak. Mengingat pentingnya dalam proses akademik dan penggunaannya yang luas oleh mahasiswa, evaluasi pengalaman pengguna (UX) Website Fakultas Teknik sangat penting agar mahasiswa dapat mengaksesnya dengan lebih nyaman. Penelitian ini akan menganalisis pengaruh pengalaman pengguna dengan menggunakan metode User Experience Questionnaire (UEO) yang memerlukan penilaian berdasarkan enam aspek, yaitu daya tarik, kejelasan, efisiensi, akurasi, stimulasi, dan kebaruan
Prediksi Penjualan Harian dengan Menggunakan Metode Trend Moment pada Depot Air Minum Isi Ulang Sussolaikah, Kelik; Jayadi, Puguh; Wahyuni; Putra, David Andrianto
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1629

Abstract

The business of refill drinking water depot is a business initiative that focuses on selling refilled drinking water. These depots face fluctuating demand over time, which create challenges in planning inventory and production effectively and effectively. This research aimed to apply the Trend Moment method to predict daily sales of Refill Drinking Water Depot, which allows the recognition of trends and fluctuation patterns based on existing historical sales data. Through analysis of previous sales data, the depot can describe demand development patterns and fluctuations variations. This data is combined into a prediction model to produce more precise future sales forecasts. This study applies the Waterfall Model method in the system creation process. Analysis, design, application, testing, delivery and maintenance are applied in developing a web system for daily sales predictions. The application of the trend moment method produces entirely satisfactory sales predictions. Even though the Mean Absolute Percentage Error (MAPE) figure exceeds the ideal limit of less than 50%, this model still provides essential views and insights for understanding sales patterns and trends. The low Mean Squared Error (MSE) value accurately predicts sales. Hopefully, this study can effectively forecast daily sales at the Refill Drinking Water Depot. This web-based prediction system can support business owners in analyzing expected sales patterns and increasing efficiency in their operations
The Implementation of H5P in Interactive Games for Cyber Security Awareness Learning Facilities for Elementary and Junior High School Students Mat Din, Mazura Binti; Mansor, Shaifizat; Muhamat Dawam, Siti Rafidah; Andria, Andria; Laksono, Ridam Dwi; Sussolaikah, Kelik
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26547

Abstract

The importance of digital security awareness is not only related to privacy protection but also includes responsible use, protection from cyberbullying, and understanding the consequences of online actions. In primary and secondary schools, understanding regarding cyber security awareness is still lacking; students must realize that what they do in the digital world can have long-term impacts on their real lives. An introduction and understanding of digital security awareness need to be given to elementary and junior high school students. This study intended to provide a vehicle (learning tool) and introduce cyber security awareness using interactive games. By using the Moodle platform and the H5P plugin to make games more interactive, interesting, effective, and efficient. This activity was carried out using the RnD method. With the RnD method, the development of awareness and the many ways to protect oneself on the internet can be developed significantly, according to the level of understanding of students Game platform development uses a Moodle-based learning management system. Then do the customization using H5P. Meanwhile, games are developed by taking into account cyber security awareness indicators. Game applications that are compiled can run well. The trial was conducted on 4 elementary schools and 4 junior high schools. During the trial, the platform's reliability can run smoothly when accessed by users. There were no obstacles in using games by the user during the trial. User features related to achievement badges, as an indication of the level of play each player can achieve responsively. Interactive games about cyber security awareness can be formed and run according to the design set. The contribution of this research is to increase students' understanding of internet safety awareness through interactive games and to increase students' knowledge about how to protect themselves while surfing the internet through interactive games.
Modeling The Prediction of Hard Drive Capacity Usage on Server Computers Based on Linear Regression Wahyuni, Wahyuni; Adytia, Pitrasacha; Astin, Siti Namira Rizqi; Sussolaikah, Kelik; Kasim, Fadly
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.28851

Abstract

Bank of XYZ has a server computer that is used to run several information technology application services such as ATMs and others. Because the server computer uses a hard drive, the full hard drive can cause problems with the service not operating properly. Full hard drives occur without being noticed. So that this makes the computer server problematic, resulting in customer dissatisfaction and decreased customer loyalty to Bank XYZ. To solve the problem at XYZ Bank, one of the machine learning algorithms can be used to predict hard drive capacity. The method used to predict hard drive storage or usage. The machine learning algorithm used is Multiple Linear Regression. The results of this study show that the linear regression model successfully predicts the use of hard drive capacity on server computers with a sufficient level of accuracy.But it is still not optimal because only a few servers can be predicted. For further research, may consider using the LSTM (Long Short-Term Memory) algorithm. LSTM is an algorithm that is well-suited for sequence prediction problems, including time series forecasting.
Coffee Type Classification Using Backpropagation Artificial Neural Network Adytia, Pitrasacha; Wahyuni, Wahyuni; Asmaramany, Dimas; Sussolaikah, Kelik
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.28853

Abstract

Coffee has several types including robusta coffee, arabica coffee and luwak coffee. Each coffee has certain characteristics of color, texture, aroma and also the quality of the taste. Coffee counterfeiting is also common. This coffee counterfeiting usually uses materials such as corn, wheat, soybeans, husks, sticks and robusta coffee beans. So that a model is needed to be able to classify the type of coffee. This research uses artificial neural network machine learning algorithms to identify and classify coffee. Quality training and testing data is needed in this method because it will affect the final results. Initial data is collected via e-nose, with this equipment data on changes in electrical voltage will be obtained from 4 sensors, namely MQ-2, MQ-3, MQ-7 and MQ-135. These 4 features will be used in the classification process. With 900 sets of training data, the test results show that the neural network is able to provide correct classification 99% of the 3 sets of testing data. The results of training and testing show that the neural network formed can identify and distinguish coffee types with good results.
The Danger of Predator Journal Publication for Researchers Himawan, Himawan; Sussolaikah, Kelik
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 3 (2023): International Journal of Multidisciplinary Sciences and Arts, Article July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i1.2503

Abstract

Scientific publications in the form of scientific journals are one way for researchers to share information related to the results of research that has been done, besides that scientific publications can also be used to build the reputation of researchers both in the academic and research fields. However, there is a danger of publication which until now has not been known by novice researchers who have just entered the world of scientific publications, namely publication in predatory journals. This is an important thing that needs to be known well and also must be watched out for by novice researchers. This is because predatory journals are scientific journals that are not of good quality, where the journals that are managed are only for financial gain through expensive publication fees and do not pay attention to aspects of research quality and also a good peer review process in good governance. scientific journals. In researching and writing this journal, researchers discuss some of the dangers associated with publishing predatory journals for researchers in terms of decreasing academic reputation, publication costs and also falsification of research data published in a predatory journal. In addition, researchers also look at the specific and clear characteristics of journals that can be categorized as predatory journals.
The Role of Artificial Intelligence-Based Technology with ChatGPT as an Educational Learning Media Innovation in Indonesia Nita, Sekreningsih; Sussolaikah, Kelik; Aldida, Jovansa Denis
International Journal of Multidisciplinary Sciences and Arts Vol. 2 No. 4 (2023): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v2i2.3333

Abstract

ChatGPT with OpenAI is an artificial intelligence-based machine technology that is trained to imitate human conversation using NLP (Natural Language Processing) technology. ChatGPT can be used to produce quite scientific writing with good and effective formulation techniques. With the help of OpenAI technology, ChatGpt can help innovate in creating learning media and learning tools such as creating RPS (Semester Learning Plans) and writing textbooks for teaching staff, especially at the tertiary level. The aim of this research is to clarify the role of artificial intelligence in the world of education and this research method uses qualitative methods. The results of experiments carried out by researchers using ChatGPT produced + 693 words of writing, this number can still be developed further. The time speed only requires + 5-7 minutes to complete this experiment and includes time to document the processing results from ChatGPT.In conclusion, ChatGPT is useful, namely teaching, research and community service. So the presence of ChatGPT as a tool in creating scientific works, learning tools (RPS) and textbooks. Another benefit of ChatGpt, especially in developing the competencies (skills) of teaching staff (lecturers), can help carry out the Tri Dharma of Higher Education technology opens up opportunities to utilize this AI chatbot for education in Indonesia
Sistem Pendukung Keputusan Penilaian Kinerja Dosen Menggunakan Metode (COPRAS) Wulandari, Faras Tira; Triayudi, Agung; Mesran, Mesran; Sussolaikah, Kelik
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4805

Abstract

The lecturer performance evaluation decision support system aids the Quality Control Bureau (BPM) in establishing the lecturer performance index (IKD). It employs the Complex Proportional Assessment (COPRAS) method for this assessment. COPRAS facilitates the analysis of diverse alternatives, estimating their utility levels by considering attribute values within intervals, enhancing precision and efficiency in decision-making. The regular evaluation of lecturer performance at the university is pivotal for the continual enhancement of their quality. Thus, a decision support system is imperative to streamline processes and minimize errors in rapidly and accurately computing system data, employing the Complex Proposal Assessment (COPRAS) method. The examination outcomes consistently recognize alternative A4, as the optimal alternative for exemplary lecturer performance, achieving a perfect score of 100.
Penerapan Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) dalam Penentuan Bantuan Siswa Miskin (BSM) pada SMK Mesran, Mesran; Nastiti, Sindy; Sussolaikah, Kelik; Saputra, Imam; Utomo, Dito Putro
Journal of Decision Support System Research Vol. 2 No. 1 (2024): September 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i1.66

Abstract

The BSM Program is a National Program that aims to eliminate barriers for poor students to participate by helping poor students obtain decent educational service requests, preventing dropouts, attracting poor students to return to school, helping students meet their needs in learning activities, supporting the 9-year compulsory education program (even up to high school level), and helping the smooth running of school programs. To obtain the Poor Student Assistance (BSM) funds, the government has set several criteria for who are the students who can be determined and are entitled to receive the Poor Student Assistance (BSM). These criteria will later help schools or educational institutions determine which students can be determined to receive the Poor Student Assistance Fund. Therefore, an educational institution must have a Decision Support System for recommending Poor Student Funds (BSM) using the Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) method, with the existence of a decision support system for determining Poor Student Assistance (BSM) it is hoped that the determination process will run well, be on target, and be received by those who are entitled. The final result determines that Alternative A1 is ranked first with the highest score of 22.2679. Thus, decision makers can compare the performance between the old system and the BSM fund determination decision support system using the Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) method without having to re-request data on students who will be given Poor Student Assistance funds.
Co-Authors Agung Triayudi Agustina, Nova Aldida, Jovansa Denis Andria, Andria Arini, Zaza Mutiara Asmaramany, Dimas Astin, Siti Namira Rizqi Astuti, Indra Puji Cobantoro, Adi Fajaryanto Dito Putro Utomo Erny Untari Erny Untari, Erny Fatkhur R, M.Arif Hetty Rohayani Himawan Himawan Ihsan, Candra Nur Imam Saputra Isharijadi Jayadi, Puguh Juanda Hakim Lubis Kasim, Fadly Laksono, Ridam Dwi Liana Vivin Wihartanti, Liana Vivin Mansor, Shaifizat Mat Din, Mazura Binti Mesran, Mesran Mohammad Bhanu Setyawan Muhamat Dawam, Siti Rafidah Nastiti, Sindy Nita, Sekreningsih Nugrahaningtyas, Andien Nugrahanti, Fatim Nugroho, Wida Ghaib Pasyawati, Putri Ramadhani Permana Putra, Angga Dian Pitrasacha Adytia Putra, David Andrianto Renny Sari Dewi Rifai, M. Hafidz Risky, Satrio Muhammad Fathur Rizki Ramadhan Sallaby, Achmad Fikri Sari, Eka Resty Novieta Setiawan, Rikky Dwi Sulistyowati, Nur Wahyuning Susanti P, Andita Syam, Syahrull Hi Fi WAHYUNI wahyuni wahyuni Wulandari, Faras Tira Wulandari, Meilinda Ike Yuliani, Ega Zulkarnain, Ismail Abdurrozaq