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All Journal Jurnal Media Infotama JURNAL INSTEK (Informatika Sains dan Teknologi) JURNAL PETIK PeTeKa JURNAL PENDIDIKAN TAMBUSAI Nizham Journal of Islamic Studies Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Pendidikan dan Konseling Journal of Innovation and Future Technology (IFTECH) Jurnal Pendidikan Teknologi Informasi dan Vokasional JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Sosial dan Teknologi Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Continuous Education : Journal of Science and Research Education Achievement: Journal of Science and Research Journal of Education Research Journal Of Human And Education (JAHE) Procedia of Social Sciences and Humanities Jurnal Educative: Journal of Educational Studies Knowbase : International Journal of Knowledge in Database ANWARUL: Jurnal Pendidikan dan Dakwah MASALIQ: Jurnal Pendidikan dan Sains ANTHOR: Education and Learning Journal KOLONI Indonesian Research Journal on Education Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Intellect : Indonesian Journal of Learning and Technological Innovation Journal of Educational Management and Strategy JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Journal of Information System and Education Development Fokus Abdimas Ahlussunnah: Journal of Islamic Education Jurnal Solusi Masyarakat (JSM) Journal of Visionary Sharia Economy (JOVISHE) Jurnal Informatika Medis (J-INFORMED) ANTHOR: Education and Learning Journal
Efriyanti, Liza
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Journal : Knowbase : International Journal of Knowledge in Database

 1 
Design of a Predictive Model for Prospective New Students Using Monte Carlo Simulation Paramita, Dela; Efriyanti, Liza; Zakir, Supratman; Imamuddin, M.
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 1 (2024): June 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i1.8144

Abstract

The competition between universities in the admission of new students is becoming increasingly intense, making it more difficult for the public, especially prospective students, to choose a study program. The Department of Hadith Sciences at UIN Syech M. Djamil Djambek Bukittinggi has fewer applicants compared to other departments due to the limited interest of prospective students in enrolling. In response to this issue, the author developed a Monte Carlo simulation predictive model that allows prospective students to estimate the number of applicants to the Department of Hadith Sciences for the upcoming academic year. The research technique employed in this study uses Monte Carlo simulation to apply this research. The number of students in the Department of Hadith Sciences who enrolled from 2019 to 2023 serves as the data used to predict the number of new student registrations. The accuracy of the simulation in estimating the number of new students who will enroll in the Department of Hadith Sciences is 218 students, with an average annual accuracy of 65.1%. By applying the Monte Carlo method, it is possible to predict the number of students who will enroll in the Department of Hadith Sciences with a relatively high level of accuracy in its application
Designing a Student Violation Point System Based on Telegram Using PHP Programming Language Khoirullah, Khoirullah; Supriadi, Supriadi; Zakir, Supratman; Efriyanti, Liza
Knowbase : International Journal of Knowledge in Database Vol. 3 No. 2 (2023): December 2023
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v3i2.7192

Abstract

This research is motivated by an issue concerning student violations at Tugumulyo State Vocational High School which are still frequently occurring, and the recording of these student violations is manually documented in a student violation logbook, causing difficulties for the guidance and counseling teachers in managing them. Furthermore, parents face challenges in monitoring their children's discipline at school due to the insufficient delivery of information regarding student violation points. Hence, there is a need for a system capable of managing student violation data and providing information to parents regarding their children's discipline in school. This research applies the Research and Development (R&D) model. The R&D model in this research employs the ADDIE model with five stages: Analyze, Design, Develop, Implement, and Evaluate. This product has been tested for validity, practicality, and effectiveness. The results of the product's validity test obtained a score of 0.85, categorized as valid. The practicality test resulted in a score of 0.97, categorized as a very high level of practicality, while the effectiveness test yielded a score of 0.91, categorized as a high level of effectiveness. These research findings demonstrate that the integrated student violation point system through Telegram at Tugumulyo State Vocational High School has been proven to be valid, practical, and effective.
Design Expert System to Identify Student Talent Based on Personality Type Using Certainty Factor Method in SMP Muhammadiyah Kandis Siak Riau Province Febryanto, Febryanto; Efriyanti, Liza
Knowbase : International Journal of Knowledge in Database Vol. 2 No. 1 (2022): June 2022
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/ijokid.v2i1.5587

Abstract

The goal of this research is to create a system design that "can assist parents and teachers in recognizing the talents of their students" based on the child's personality, so that parents and teachers can provide "the right education and learning patterns for students". The author discovers that there is no expert system in SMP Muhammadiyah Kandis to identify children's talents based on personality type using certainty factor methods, and that at SMP Muhammadiyah Kandis, evaluations are still done manually and only to determine intelligence, not to determine student talent. The research method that the author uses is the Research and Development method, where the development method that the author uses is the Waterfall method according to Pressman, which the stages consist of Communication, Planning, Modeling, Construction, Development.‎ Based on the findings of the authors' research, the authors were successful in creating this research product, with the functional suitability test results from two experts obtaining a feasibility value of 100%, which was declared Very Fair, and the compatibility test results obtaining a feasibility value of 100%, which was declared Very Eligible and the feasibility score for the usability test was 86.3%, which was declared Very Eligible, and the feasibility score for the material result test was 81%, which was declared Very Eligible, and the feasibility score for the Indonesian linguistic test was 87.5%, which was declared Very Eligible. The aim of this study is to develop a expert system to identify children's interests and talents that are validated and worthy of being operated.
Designing a Student Violation Point System Based on Telegram Using PHP Programming Language Khoirullah, Khoirullah; Supriadi, Supriadi; Zakir, Supratman; Efriyanti, Liza
Knowbase : International Journal of Knowledge in Database Vol. 3 No. 2 (2023): December 2023
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v3i2.7192

Abstract

This research is motivated by an issue concerning student violations at Tugumulyo State Vocational High School which are still frequently occurring, and the recording of these student violations is manually documented in a student violation logbook, causing difficulties for the guidance and counseling teachers in managing them. Furthermore, parents face challenges in monitoring their children's discipline at school due to the insufficient delivery of information regarding student violation points. Hence, there is a need for a system capable of managing student violation data and providing information to parents regarding their children's discipline in school. This research applies the Research and Development (R&D) model. The R&D model in this research employs the ADDIE model with five stages: Analyze, Design, Develop, Implement, and Evaluate. This product has been tested for validity, practicality, and effectiveness. The results of the product's validity test obtained a score of 0.85, categorized as valid. The practicality test resulted in a score of 0.97, categorized as a very high level of practicality, while the effectiveness test yielded a score of 0.91, categorized as a high level of effectiveness. These research findings demonstrate that the integrated student violation point system through Telegram at Tugumulyo State Vocational High School has been proven to be valid, practical, and effective.
Design of a Predictive Model for Prospective New Students Using Monte Carlo Simulation Paramita, Dela; Efriyanti, Liza; Zakir, Supratman; Imamuddin, M.
Knowbase : International Journal of Knowledge in Database Vol. 4 No. 1 (2024): June 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v4i1.8144

Abstract

The competition between universities in the admission of new students is becoming increasingly intense, making it more difficult for the public, especially prospective students, to choose a study program. The Department of Hadith Sciences at UIN Syech M. Djamil Djambek Bukittinggi has fewer applicants compared to other departments due to the limited interest of prospective students in enrolling. In response to this issue, the author developed a Monte Carlo simulation predictive model that allows prospective students to estimate the number of applicants to the Department of Hadith Sciences for the upcoming academic year. The research technique employed in this study uses Monte Carlo simulation to apply this research. The number of students in the Department of Hadith Sciences who enrolled from 2019 to 2023 serves as the data used to predict the number of new student registrations. The accuracy of the simulation in estimating the number of new students who will enroll in the Department of Hadith Sciences is 218 students, with an average annual accuracy of 65.1%. By applying the Monte Carlo method, it is possible to predict the number of students who will enroll in the Department of Hadith Sciences with a relatively high level of accuracy in its application
Co-Authors AA Sudharmawan, AA Adytia Rahmadan, Lutvi Afrelia, Yutika Al-Ghovari1, Heru Firdan Alfandi, M. Raihan Alina‎, Fitriatil Anggari, Fudya Rizky Anggraini, Sari Annas, Firdaus Annisa, Sherly Ansara, Ahmad Dori Pelita Arianda, Fried Arifmiboy, Arifmiboy Aulia, Ulvi Azani, Hikmatul Aziz, Khairul azlina, Frizka dwi Benfani, Ropi Darmawati, Gusnita Darul Ilmi Devi, Indra Dewi, Sinta Maria Dhani, Rahma Dita Amelia, Dita Efprianti, Nera Elfia, Nur Elfia Eriani, Gita Fahrozianto, Fahrozianto Febryanto, Febryanto Fitri, Ainil Fradila, Anggi Friyadi, Rio Gultom, Selly Hajjah, Nurul Hamidah, Rizka Hanazahra, Alifa Handayani, Sasa Hargiani, Fransisca Xaveria Hari Antoni Musril Hasibuan, Hotra Anggina Hasni, Dwi Meutia i, Supriadi Indra, Yossefli Insani, Chindy Rahmatul Isman, Azihi Jasmienti Jasmienti, Jasmienti Jevri, Jevri Johni, Musthari Annisa Khairuddin - Khalifah, Nur Khoirullah, Khoirullah Khomarudin, Agus Nur Lestari Borotan, Nella Luthfi, Rahmat M. Imamuddin Maharani, Devina Mahesa Putra, Adha Maisaroh, Suha Mardanila, Widya Mathulhusna, Lina Mega Mulyanti Megawati - Melvita, Reza Muhammad Faishal Muhammad Furqan, Muhammad Muhammad Luthfi Mulya Sari, Rini MUSLIM, ELSA PUTRI Musril , Hari Antoni Nabila, Putri Nabilah*, Bunga Nofri Yanti, Salma NUR RAHAYU, NUR Nurhalizah Nst, Ely Oktomaini, Tila Pangaribuan, Fitriani Paramita, Dela Primadona, Icha Priyono, Arif Rahman Putri, Nurul Atika Dwi Putri, Paramitha Diana Putri, Rizka Qalby, Annur Rafika Sani Rahayu ‎, Emilia Gusti Rahma Safitri, Fidiyah Rahmadhani, Sutrisza Rahmatul Insani, Chindy Rahmi, Hayattul Rahmi, Miftahur Rasiman Padang Resa Ayu, Riska Resnawita, Resnawita Riri Okra Rizki lubis, Alya Romy Aulia Rosia, Ilham S Oktavia, Dinda Safitri, Redha Okta Saleh Pulungan, Rahman Salshavira, Najwabilla Sarwo Derta Satria, Elmeki Silitonga, Sahnia Uli Silmi, Rifka Sinaga, Fawzan Akbar Siti Rohani Sitompul, Sonia Widya Ulfa Sitompul Supriadi Supriadi , Supriadi Supriadi Supriadi Syafitri, Aisyah Syahri, Anitia Syukra, Annisa Jannatul Tasnim Rahmat, Tasnim Thomas Gunawan, Thomas Ulandari, Intan Tri Valentina, Felia Vernanda, Lousia Vikri, Muhammad Walidaini Surbakti, Rida Wanti, Elmi Wati , Irma Wedra Aprison Wulandari, Dinda Yanti, Rahma Yolanda, Novia Yuriza , Devi Zakir, Supratman Zeki Alex Sandra, Zeki Zulfani Sesmiarni