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All Journal Jurnal Pendidikan Vokasi Intiqad: Jurnal Agama dan Pendidikan Islam Potensia Inspiratif Pendidikan Jurnal Al-Tadzkiyyah DIRASAT Jurnal Manajemen & Pendidikan Islam Al-MARSHAD: Jurnal Astronomi Islam dan Ilmu-Ilmu Berkaitan BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Tadbir Muwahhid Teorema: Teori dan Riset Matematika Ta'dibuna: Jurnal Pendidikan Islam Madinah: Jurnal Studi Islam Instructional Development Journal ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Mnemonic AL-FIKR: Jurnal Pendidikan Islam Indonesian Journal of Islamic Education Studies (IJIES) Jurnal Ilmiah Ar-Risalah: Media Ke-Islaman, Pendidikan, dan Hukum Islam Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Enthusiastic : International Journal of Applied Statistics and Data Science Al-Hilal: Journal of Islamic Astronomy STATISTIKA Scientica: Jurnal Ilmiah Sains dan Teknologi Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Journal of Islamic Education Studies (IJIES) Proceeding Of International Conference On Education, Society And Humanity Ta'allum: Jurnal Pendidikan Islam
Abdulloh Hamid
Disdik SMPN1 Sukolilo
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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The Effectiveness of Canva-Based Learning in Improving Students’ Visual Literacy Fitria, Nur Annisa; Hamid, Abdulloh; Novitasari, Dian Candra Rini; Indriyani, Jiphie Gilia
Intiqad: Jurnal Agama dan Pendidikan Islam Vol 17, No 2 (2025)
Publisher : UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/25820

Abstract

This study aims to measure the effectiveness of Canva-based learning in improving visual literacy among students, given the importance of the ability to interpret, understand, and communicate meaning through visual elements in the digital age. This study used a pre-experimental method with a One Group Pre-test Post-test design, which was conducted at SDN Bejijong 2 Trowulan Mojokerto in May with 32 fifth-grade students as research subjects. Data were collected through pre-tests and post-tests using the Canva application to measure the improvement in students' visual literacy, with 11 indicators according to Avgerinou. Data analysis was performed using SPSS, with the results of the Paired Sample T -Test showed a significant increase in the post-test average score (49.16) compared to the pre-test (37.13), with a difference of 12.03 points and a significance value of 0.000 (p 0.05), which clearly proves that Canva is effective in improving students' visual literacy.
OPTIMIZATION OF ARIMA RESIDUALS USING LSTM IN STOCK PRICE PREDICTION OF PT MEDCO ENERGI INTERNASIONAL TBK Ababil, Achmad Fachril Yusuf; Hamid, Abdulloh; Khaulasari, Hani; Novitasari, Dian Candra Rini; Utami, Wika Dianita
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1405-1420

Abstract

The capital market plays an important role in the economy by providing a means for companies to obtain capital and as a place to invest. Stocks are one of the popular investment instruments because their potential profits are attractive to investors. The stocks used in this study are PT Medco Energi Internasional Tbk (MEDC) shares. The purpose of this study is to obtain the optimal ARIMA-LSTM residual optimization model, how much the accuracy, and to predict Medco stock prices for the next 8-month period. The data used starts from January 4, 2021, to October 31, 2024, was obtained from the yahoofinance.com website. The ARIMA model, which is known to be effective in handling linear data, will be combined with LSTM. The use of residuals in the LSTM model can help LSTM capture patterns in the entire stock data so as to increase prediction accuracy. The research results obtained are the optimal ARIMA-LSTM optimization model, namely, ARIMA ([5,9],1,[5,9,11]) and LSTM with the best hyperparameter, namely, hidden layer 64, batch size 16, and learning rate 0.01. The accuracy of the ARIMA-LSTM optimization model is classified as very accurate, with a MAPE value of 0.3%. Medco Energi’s stock price for the next 8-month period is predicted to increase from IDR1312 to IDR1430 or an increase of 9%.
URGENSI PENGGUNAAN MEDIA PEMBELAJARAN BERBASIS TEKNOLOGI Aji Silmi, Thoriq; Hamid, Abdulloh
Inspiratif Pendidikan Vol 12 No 1 (2023): JUNE
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/ip.v12i1.37347

Abstract

THE URGENCY OF USING TECHNOLOGY-BASED LEARNING MEDIA. The progress of the times has become a conversation every day, and has become a new habit in life. Technology plays a role in relation to the progress of the times, developments have spread to all sectors, including the education sector. In the learning process, the use of effective and efficient media to improve the quality and competence of students in order to be able to achieve learning objectives is very necessary. Various learning media provide flexibility for educators to design learning according to the characteristics of students. The presence of this technology-based learning media gives a new color and style to the world of education. With the technology that enters the world of education, it is expected to be able to change conventional habits towards modernization. In this study, several concrete facts are presented regarding the use of technology-based learning media so that they can be used in educational institutions in each educational unit, following the learning styles and characteristics of students. Where this learning has an important role in the order of human life, and as an alternative to an image and sound-based media to convey learning material.
Optimalisasi Grid Search pada Extreme Gradient Boosting (XGBoost) Untuk Prediksi Pendapatan Asli Daerah (PAD) Dari Pajak Kendaraan Bermotor (PKB) Muhammad, Bintang Maulidana; Hamid, Abdulloh; Asyhar, Ahmad Hanif; Idamayanti, Retna Fetty
Teorema: Teori dan Riset Matematika Vol 11, No 1 (2026): Maret
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/teorema.v11i1.22512

Abstract

PPenelitian ini mengevaluasi tiga model regresi dalam menganalisis tingkat kriminalitas di Provinsi Banten, yaitu Regresi Poisson, Regresi Geographically Weighted Regression (GWR), dan Regresi Binomial Negatif (NBR). Data mencakup delapan wilayah administratif dengan variabel penjelas seperti kepadatan penduduk, rasio penduduk terhadap polisi, tingkat pengangguran terbuka, angka kemiskinan, rata-rata lama sekolah, dan Indeks Pembangunan Manusia. Hasil menunjukkan bahwa 1) model Poisson mengalami overdispersi berat dan gagal menangkap pengaruh variabel prediktor, 2) model GWR memiliki nilai AIC terendah, namun menghasilkan parameter yang identik di semua wilayah, mengindikasikan overfitting akibat keterbatasan jumlah wilayah, 3) Model NBR memberikan deviasi rendah dan AIC yang kompetitif, menunjukkan kinerja statistik yang lebih stabil pada data terbatas. Studi ini menyoroti pentingnya mempertimbangkan ukuran sampel dalam pemilihan model spasial, serta menyarankan penggunaan NBR sebagai alternatif yang layak untuk data count yang overdispersi dengan jumlah unit kecil.
Co-Authors Ababil, Achmad Fachril Yusuf Abdul Muqsith, Miftahul Khair Achmad Muhibin Zuhri Ahmad Hanif Asyhar Aji Silmi, Thoriq Al Hana, Rudi Alim, Adam Ahmad Syahrul Ambadar, Panreshma Rizkha Andriyani, Santi Andriyani, Santi Aprilianto, Muhammad Awwaludin Ardelia, Nita Arif Ainur Rofiq, Arif Ainur Aris Fanani Ariyanto Wijaya, Indra Ariyanto, Dimas darwis darwis, darwis Dianita Utami, Wika DWI SURYANTO Dwiana, Fadiah Irine Fitria, Nur Annisa Hadi, Mohamad Samsul Hamidah, Isna Hani Khaulasari Haq, Dina Zatusiva Hasani, Ahmad Hidayatulloh, Nur Husniyatus Salamah Zainiyati Idamayanti, Retna Fetty Indriyani, Jiphie Gilia Irfan Tamwifi Ismail Ismail Izzatul Aliyyah Khasanah, Rofina Muti'atun Khaudli, M. Imam Laila, Azzah Nur Laila, Siti Alfin Nur Masruroh Kusman, Umi Moh. Hafiyusholeh Muhammad, Bintang Maulidana munir, very misbahul Mustaghfirah, Walidatul Nafi'ah Darojat, Umi Sarah Nafis, Urwatun Nanang Widodo Nasril, Nashudi Ningrum, Annisa Eka Ayu Cahya NISWATIN, KHOIRUN Novitasari, Dian C Rini Nur Aulia, Shofinatul Wahdah Nurissaidah Ulinnuha Prasetijo, Dono Putroue Keumala Intan Putu Sudira Rudy Al Hana Salehuddin, Mohammad Salehudin, Mohammad Sari, Dian Candra Rini Novita Sari, Firda Yunita Sari, Lia Puspita Siti Aimah Siti Munawaroh Siti Nur Azizah, Siti Nur Solly Aryza Sriasih Sufriyah, Lailiyatus Umam, Ahmad Za'imul Vachruddin, Vrisko Putra Wasyik, Torikhul Wika Dianita Utami Winarto Eka Wahyudi, Winarto Eka Yuliati, Dian Yuliawanti, Felia Dria Yusuf Ababil, Achmad Fachril