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The Enterprise School Readiness Prediction System (ESRPS) Uses Machine Learning to Assess Children's Readiness for Entering Elementary School Muhammad Choerul Umam; Cicilia Dyah Sulistyaningrum I.; Dydik Kurniawan; Priyono Tri Febrianto
Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Vol 10, No 4 (2024): December
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i4.13488

Abstract

This study aims to develop and evaluate the Enterprise School Readiness Prediction System (ESRPS) to predict children's readiness for elementary school using machine learning algorithms.  This research employs the Research and Development (R&D) method using Borg and Gall’s model and Instruments include questionnaires, programming tools, performance evaluation metrics, and web/database development tools to ensure the system's validity, reliability, and practical applicability.The research analyzes data from 300 students in various Indonesian cities, focusing on attributes like age, gender, and parental education. The system implements four algorithms: Decision Tree, Random Forest, Naive Bayes, and SVM. Data preprocessing, model training, and hyperparameter tuning were conducted, followed by evaluation using metrics like accuracy and precision. A web-based application was developed for user interaction and deployment. The result showed that the Decision Tree and Naive Bayes algorithms achieved the highest accuracy at 55%, followed by SVM at 50%, and Random Forest at 45%. This suggests that simpler models may be more suitable for the dataset's characteristics. The system also demonstrated the feasibility of practical deployment for educational use. The study concludes that ESRPS effectively uses machine learning to assess school readiness, highlighting the value of data preprocessing and model tuning in enhancing accuracy. Despite moderate accuracy levels, the study confirms the system's potential for aiding educators and parents in supporting children's transition to school.
The Enterprise School Readiness Prediction System (ESRPS) Uses Machine Learning to Assess Children's Readiness for Entering Elementary School Umam, Muhammad Choerul; Sulistyaningrum I., Cicilia Dyah; Kurniawan, Dydik; Febrianto, Priyono Tri
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 4 (2024): December
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i4.13488

Abstract

This study aims to develop and evaluate the Enterprise School Readiness Prediction System (ESRPS) to predict children's readiness for elementary school using machine learning algorithms.  This research employs the Research and Development (R&D) method using Borg and Gall’s model and Instruments include questionnaires, programming tools, performance evaluation metrics, and web/database development tools to ensure the system's validity, reliability, and practical applicability.The research analyzes data from 300 students in various Indonesian cities, focusing on attributes like age, gender, and parental education. The system implements four algorithms: Decision Tree, Random Forest, Naive Bayes, and SVM. Data preprocessing, model training, and hyperparameter tuning were conducted, followed by evaluation using metrics like accuracy and precision. A web-based application was developed for user interaction and deployment. The result showed that the Decision Tree and Naive Bayes algorithms achieved the highest accuracy at 55%, followed by SVM at 50%, and Random Forest at 45%. This suggests that simpler models may be more suitable for the dataset's characteristics. The system also demonstrated the feasibility of practical deployment for educational use. The study concludes that ESRPS effectively uses machine learning to assess school readiness, highlighting the value of data preprocessing and model tuning in enhancing accuracy. Despite moderate accuracy levels, the study confirms the system's potential for aiding educators and parents in supporting children's transition to school.
Co-Authors 'Ayun, Dya Qurotul Abidah Ardelia, Devina Ade Cyntia Pritasari Ade Cyntia Pritasari Ade Irma Damayanti Aditya Dyah Puspitasari Aditya Dyah Puspitasari Adji Setyorini, Devi Afiyah, Nurul Afwa Alsinatin Nadhifah Agustina, Rufaydah Aidah Fatin, Rifka Ainia, Carryna Zalfa Ainur Rasikin, Muhammad Aisyah Noviyanti, Nur Ali Maksum Alya Agustina, Dea Amirotudz Dzofiroh Anam Wijaya, Fahriz Andika Adinanda Siswoyo Andina, Aizza Naya Arum Budiastuti, Arum Budiastuti Arwinda, Vivi Prila Asbah Binti Razali Asbah Binti Razali Assayyidah, Jasmine Atika, Putri Aulia, Rahma Nisa’ul Ayu Puspita, Julia Ayu Ramanda Putri, Inessya Ayu winda Bachtiar Sjaiful Bachri Bachtiar Syaiful Bachri Bekiyatus Solehah Catharina Indah Kartika Cemara Ardelia Cicilia Dyah Sulistyaningrum I. Derajati, Allia Ayu Desy Elvira Wulandari Devita Rizkia Ramadhani S Dian Camelia Dwi Elsa Romadhoni Dwi Rahmah, Alisyah Dwi Safitri Dwiyanto, Febri Eky Junnata Marianadya Sukadi Elsa Safila, Amanda Faizatul Hasanah Fara Medinna Oktavia Faradiba Rohadatul Aisy Fatimah Azzahra Fatiya Auliya Firdaus, Adella Tiara Bintara Firdausi Nurharini Firdausi Nurharini Firmansyah, Muhammad Bagus Hamim Mullah Wahyu Ramadhan Hana Naina Hanum Eka Pratiwi , Citra Hawaijil Asrory, Mohammad Hoiris Zuhro, Istihana Husnul Jannah Alfauzah Huwaidah, Anzala Ihda Shafa, Najwa Mayzamzami Indrayani, Vindy Indun Bi Wastuti Inggrid Adithalia Irena Yolanita Maureen Isna Aniqotun Nada Izmatul Mufidah Jasmine Assayyidah Jihan Okta Fayosha Jumiyati Kamilah, Tuti'atul Khoirunisa, Dinda Salsabila Khoirus Tsani, Mutiara Khusna, Mufidatul Khusna, Mufidatul Khusnul Laili Mansuroh Kubbatut Diana Kurniawan, Dydik Lailatul Khomariyah Lailatul Rachmawaty Lailiatur Riefa'ah Lamijan Hadi Susarno Lina Anggraini Lina Safira Lola Viska Ardani Luluk Lailatul Mukarromah Lutfi Apreliana Megasari Lutfi Apreliana Megasari Lutfi Apreliana Megasari Lutfi Apreliana Megasari M. CHOERUL UMAM Mafrichatuz Zuhroh Maghfirli Islami, Sabrina Mas'udah, Siti Maulana Afrizal, Habib Maulana, M. Nur Afifudin Dwi Maulidiya, Zamrotun Mega Kalista, Zulfia Merlia Indah Prastiwi Merlia Indah Prastiwi Merlia Indah Prastiwi, Merlia Indah Mirza Mutiara Maulisa Insani Mochamad Nursalim Mohammad Edy Nurtamam Mohassin Mufidatul Khusna Muhamad Zakhi Ramadhan Muhammad Bagus Firmansyah Muhammad Fahmi Amrullah Mustaghfiroh, Refania Mustikasari , Sevia Dwi Na'imah, Hamidatin Nabila Mulyawati Hanafi Nabilatul Alawiyah, Yuni Najwa Nabila, Sabrina Nanda Dwi Saharani, May Nazar Eka Saputra Nilamsari Damayanti Fajrin Noverawati Syah Fitri Novia Safitri, Narulita Novianti Romadani Novita, Tri Nur Choyyina, Avin Nur Diana Firdaus Nur Rohmah, Eva Nurul Fauziyah, Vita Nuudiya Anburika Puspita, Julia Ayu Puteri, Analia Kurnia Putra, Moh Vikram Dwi Putri Faridatus Sholeha Putri Nabiella Fitri Rahmadhani Putri, Aqsha Maulidiyah Qodaria, Rizka Lailatul Rafiqa Dzurriyya Ramzi Albani Thariq Razali, Asbah Reftamey, Cinta Reva Amelia Ricca Aulia Rahma Rifatil Badri, Zafirah Rizky Dellentya Romadhon, Moh. Sulaiman Sabri Sulaiman Sahlya, Zulfatus Sailir Rohmah Salsabila Damayanti Sandro Jadi Marulitua Nadeak Sania Br Tampubolon Sari Devi, Kartika Saropah, Siti Sauqi, Iqbal Sayyidati Beta Masbaha Azzahroh Seftinengseh, Nurjihan Selviani Selviani Rahmadani Shinta Nuriah Shofiyati Fadilah Silvia Agustin Siti Chomsiyatul Ma'rifah Siti Masitoh Sri Rahmawati Sri Wilda Ningsih ST. Shafiyatul Hasanah Suci, Ulan Sudarso Sudarso Sudarso Sudarso SUKMAWATI, DWI Sulaiman Sulaiman Sulaiman Sulaiman Sulaiman, Sabri Sulistyaningrum I., Cicilia Dyah Syafawani, Nurul Amatullah Syafrilla Faigha Utami Syafrilla Faigha Utami Syaifullah Alramadhani Syarifah Tasya Permata Islami Tiara Bintara Firdaus, Adella Tri Nidia Kusumawardani Tsabitah, Ismi Uliatul Murtasidah Umam, Muhammad Choerul Umi Hanik Vero Stantika Vita Khofifah Wahyudi, Adisti Istivari Wahyuni, Esa Nur Waki'a, Waki'a Warosatul Amalia Widiya Lestari, Astrid Wilda A’malina Zatinuha Yudha Aldetya Fanda Febriarta Zahra Najma Audiva Zainur Rohman