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All Journal JTSL (Jurnal Tanah dan Sumberdaya Lahan) Tadrib: Jurnal Pendidikan Agama Islam Journal of Natural Sciences and Mathematics Research Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Educatio JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Pertanian Agros Jurnal Pengabdian Magister Pendidikan IPA Minda Baharu JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research Viabel : Jurnal Ilmiah Ilmu-Ilmu Pertanian JATI (Jurnal Mahasiswa Teknik Informatika) Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Sistem Informasi dan Sistem Komputer International Journal Of Science, Technology & Management (IJSTM) Jurnal Jeumpa Unram Journal of Community Service (UJCS) Jurnal Insan Digital Transformation Technology (Digitech) International Journal of Science and Environment Journal of Artificial Intelligence and Digital Business JURNAL MAHASISWA AGROTEKNOLOGI (JMATEK) Jurnal Kedokteran Hewan Lentera Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Pendidikan Profesi Guru BATIK: Jurnal Pengembangan dan Pengabdian Masyarakat Multikultural Jurnal Sains, Teknologi dan Kesehatan JOI MADINA : Journal of Islamic Studies BACA: Jurnal Dokumentasi dan Informasi Integrasi: Jurnal Studi Islam dan Humaniora
Rizal, Khairul
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Cooperative Learning Strategies in Islamic Religious Education Rizal, Khairul; Rahman, Abd
Tadrib: Jurnal Pendidikan Agama Islam Vol 11 No 2 (2025): Tadrib: Jurnal Pendidikan Agama Islam
Publisher : Program Studi Pendidikan Agama Islam Fakultas Ilmu Tarbiyah Dan Keguruan UIN Raden Fatah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/tadrib.v11i2.32186

Abstract

This study addresses the continued reliance on lecture-based instruction in Islamic Religious Education (IRE) in rural elementary schools and emphasizes the need for more interactive approaches. Using a descriptive qualitative case-study design, data were collected through classroom observations, in-depth interviews with teachers, principals, and students, as well as documentation analysis. The findings show that teachers have implemented cooperative learning models such as Think-Pair-Share (TPS), Jigsaw, Numbered Heads Together (NHT), and structured group discussions, which effectively increased student engagement, improved understanding of religious concepts, and enhanced students’ confidence in expressing their opinions. Students’ responses were generally positive, indicating that cooperative learning supports active participation and the development of Islamic social attitudes. Challenges encountered include limited instructional time, varied student characteristics, insufficient teacher training, and inadequate learning facilities, which were addressed through clearer role distribution, the selection of simpler cooperative models, and principal-supported initiatives such as policy adjustments and training plans. Overall, cooperative learning strategies are proven effective in improving the quality of IRE instruction, with implications for developing more interactive, contextual, and character-building learning in elementary schools
IMPLEMENTASI METODE K-MEANS UNTUK PENGELOMPOKKAN KATA BERINDIKASI CYBERBULLYING PADA KOMENTAR TIKTOK Syawal, Muhamad Akmal; Rayhan, Cahya Muhammad; Pradhana, Bintang Arfiandi; Richardo, Yusuf Jordi; Rizal, Khairul; Susliansyah, Susliansyah
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2163

Abstract

Perkembangan pesat media sosial seperti TikTok membawa peningkatan kasus cyberbullying yang berdampak negatif pada korban, termasuk tekanan mental. Penelitian ini bertujuan mengimplementasikan metode clustering sebagai pendekatan pembelajaran tanpa pengawasan untuk mengelompokkan kata-kata indikasi cyberbullying dalam komentar TikTok. Dataset komentar TikTok diolah melalui pra-pemrosesan teks seperti tokenisasi dan normalisasi. Metode clustering digunakan untuk mengelompokkan komentar berdasarkan kemiripan pola kata tanpa memerlukan data berlabel. Hasil pengelompokan mengidentifikasi pola kata konsisten yang menjadi indikasi cyberbullying, mendukung deteksi otomatis tindakan bullying di media sosial. Penelitian ini menyimpulkan bahwa pendekatan clustering efektif dalam mengenali ciri cyberbullying dan direkomendasikan untuk pengembangan sistem moderasi konten di TikTok guna mengurangi dampak negatif cyberbullying.
ANALISIS PENERIMAAN PENGGUNA APLIKASI JAGO COFFE MENGGUNAKAN MODEL TECHNOLOGY ACCEPTANCE MODEL (TAM) Toriq, Muhammad Khaakam; Rizal, Khairul
Journal of Information System, Informatics and Computing Vol 9 No 2 (2025): JISICOM (December 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i2.2094

Abstract

Penelitian ini bertujuan untuk menganalisis penerimaan pengguna terhadap aplikasi Jago Coffee dengan menggunakan pendekatan Technology Acceptance Model (TAM). Model ini menilai sejauh mana persepsi kegunaan (Perceived Usefulness), kemudahan penggunaan (Perceived Ease of Use), dan niat perilaku (Behavioral Intention) mempengaruhi keputusan pengguna untuk menggunakan aplikasi tersebut. Metode penelitian yang digunakan adalah kuantitatif deskriptif, dengan pengumpulan data melalui observasi, wawancara, dan penyebaran kuesioner kepada 100 responden pengguna aktif aplikasi Jago Coffee di wilayah Jabodetabek. Analisis dilakukan menggunakan uji validitas dan reliabilitas, analisis deskriptif, serta regresi linier berganda melalui aplikasi SPSS. Hasil penelitian menunjukkan bahwa PU dan PEOU berpengaruh signifikan terhadap BI, dan PEOU juga mempengaruhi PU. Model TAM mampu menjelaskan 68,1% variasi dalam niat penggunaan aplikasi. Temuan ini memberikan implikasi praktis bagi pengembangan sistem dan strategi pemasaran Jago Coffee.
Evaluasi Keberhasilan SIPINTER sebagai Sistem Layanan Informasi di Perpustakaan DPR RI menggunakan Model Delone dan McLean Rizal, Khairul; Wicaksono, Hendra; Wardiyono, Wardiyono; Wati, Mustika
BACA: Jurnal Dokumentasi dan Informasi Vol. 46 No. 2 (2025): BACA: Jurnal Dokumentasi dan Informasi : (Desember)
Publisher : Direktorat Repositori, Multimedia, dan Penerbitan Ilmiah - Badan Riset dan Inovasi Nasional (BRIN Publishing)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/baca.2025.13250

Abstract

The Integrated Current Information Package System Sistem Paket Informasi Terkini (SIPINTER) is an integrated information service at the Library of the House of Representatives of the Republic of Indonesia (DPR RI), providing various information resources related to the duties and functions of the DPR RI. The system has been operating since 2020 to support literacy and research needs within the DPR RI. However, to date, no feedback has been provided by users who have accessed SIPINTER, either through a dedicated survey or through the website’s own survey feature, making it difficult to assess the system’s utilization and optimization. This study was conducted to evaluate the extent to which SIPINTER has been successful for users of the DPR RI Library by applying the DeLone and McLean model. A quantitative method with a correlational approach was employed to measure the influence among variables and to test the hypotheses. The findings indicate that three out of the seven proposed hypotheses were accepted, as the relationships showed path coefficient values below 0.05 and t-test values above 1.96. These accepted relationships include: system quality on system use, information quality on user satisfaction, and system use on user satisfaction. This study concludes that the success of SIPINTER is primarily determined by the quality of the system and the quality of the information provided, while the service quality aspect has not shown a significant influence. These findings indicate that improving service quality is an essential factor in optimizing the utilization of SIPINTER and offer new insights into the application of the DeLone and McLean model within the context of a legislative library.
Implementasi Mobilenetv2 Untuk Aplikasi Edukasi Sejarah Monumen Nasional Berbasis Computer Vision Rahman, Ryan; Maharani, Sherly; Toni, Maria Igniosa; Rizal, Khairul; Susliansyah, Susliansyah; Hidayat, Rahmat
Jurnal Sistem Informasi dan Sistem Komputer Vol 11 No 1 (2026): Vol 11 No 1 - 2026
Publisher : STIMIK Bina Bangsa Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51717/simkom.v11i1.1200

Abstract

Kemajuan teknologi mobile dan kecerdasan buatan telah membuka peluang baru dalam penyediaan materi pendidikan interaktif pada ranah sejarah dan pariwisata. Penelitian ini mengembangkan aplikasi mobile edukatif untuk Monumen Nasional dengan menerapkan model MobileNetV2 dalam tugas computer vision. Aplikasi memungkinkan pengunjung memindai objek sejarah dari Monas menggunakan kamera smartphone dan memperoleh informasi secara instan. Model MobileNetV2 dipilih karena efisiensi komputasi, ukuran ringan, dan akurasi tinggi yang sesuai untuk perangkat mobile. Penelitian ini melibatkan lima tahap utama berdasarkan metode CRISP-DM: analisis kebutuhan, pengumpulan data, pra-pemrosesan citra, pelatihan model, serta integrasi model ke aplikasi. Hasil pengujian menunjukkan akurasi klasifikasi sebesar 99%, nilai loss 0,02, dan nilai loss saat validasi 0,06, menandakan model mencapai konvergensi stabil dengan indikasi overfitting yang ringan. Temuan ini menunjukkan efektivitas MobileNetV2 dalam aplikasi edukatif berbasis computer vision yang efisien di perangkat mobile, serta berkontribusi pada pelestarian budaya melalui media edukatif interaktif.
Klasifikasi Jamur Beracun dan Tidak Beracun Menggunakan Transfer Learning Model Mobilenetv2 Pada Tensorflow di Indonesia Hidayatullah, Syafiq; Insan Cemerlang, Adinda Gadis; Permana, Rifaldi Bagas; Rizal, Khairul; Hidayat, Rahmat; Susliansyah, Susliansyah
Jurnal Sistem Informasi dan Sistem Komputer Vol 11 No 1 (2026): Vol 11 No 1 - 2026
Publisher : STIMIK Bina Bangsa Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51717/simkom.v11i1.1211

Abstract

Jamur memiliki peran penting dalam pangan dan kesehatan, tetapi kesamaan morfologis antara jamur beracun dan tidak beracun menyulitkan identifikasi akurat. Penelitian ini mengklasifikasikan jamur beracun dan tidak beracun di Indonesia menggunakan Transfer Learning dengan arsitektur MobileNetV2 pada TensorFlow. Metode penelitian mengikuti tahapan CRISP-DM yang mencakup pengumpulan data, pra-pemrosesan citra, pelatihan model, serta evaluasi kinerja. Model MobileNetV2 mencapai akurasi 99,13%, precision 99,49%, recall 98,97%, dan F1-score 99%. Grafik akurasi dan loss menunjukkan peningkatan kinerja yang stabil tanpa overfitting. Hasil ini menegaskan efektivitas Transfer Learning menggunakan MobileNetV2 dalam identifikasi fitur visual jamur. Model ini berpotensi diaplikasikan pada platform web atau aplikasi mobile sebagai alat bantu identifikasi jamur otomatis, mengurangi risiko keracunan.
Implementasi Sistem Presensi Mahasiswa Berbasis Pengenalan Wajah Menggunakan Model Facenet (CNN Backbone) dan Metode KNN Maliki, Maliki; Lestari, Lintang Aisah; Rizal, Khairul; Susliansyah, Susliansyah; Hidayat, Rahmat
Jurnal Sistem Informasi dan Sistem Komputer Vol 11 No 1 (2026): Vol 11 No 1 - 2026
Publisher : STIMIK Bina Bangsa Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51717/simkom.v11i1.1217

Abstract

Kemajuan teknologi kecerdasan buatan dan pemrosesan citra mendorong pengembangan sistem presensi yang lebih efektif dan akurat pada lingkungan perguruan tinggi. Penelitian ini difokuskan untuk menyusun dan mengimplementasikan sistem presensi mahasiswa menggunakan pengenalan wajah menggunakan FaceNet (CNN Backbone) sebagai ekstraktor fitur, sedangkan metode K-Nearest Neighbors (KNN) untuk klasifikasi identitas. Penelitian dilakukan melalui delapan tahapan, yaitu data collecting, exploratory data analysis, data preprocessing, model training, model evaluation, deployment, system testing, dan monitoring. Dataset yang digunakan terdiri dari 325 citra wajah dari 13 kelas mahasiswa dengan variasi pose, ekspresi, dan kondisi pencahayaan. Pengujian sistem dilakukan pada beberapa skenario utama, termasuk variasi intensitas cahaya dan jarak wajah ke kamera. Hasil pengujian menunjukkan akurasi pengenalan wajah sebesar 97% pada dataset yang digunakan dengan performa sistem yang stabil. Hasil ini menunjukkan bahwa kombinasi FaceNet (CNN Backbone) dan KNN efektif untuk mendukung presensi mahasiswa otomatis di lingkungan perguruan tinggi.
Sistem Deteksi Warna Real-Time untuk Aksesibilitas Penderita Buta Warna Marbun, Stephanie Rotua Uli; Rizal, Khairul; Susliansyah, Susliansyah; Hidayat, Rahmat
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5155

Abstract

Penelitian ini mengembangkan sistem deteksi warna real-time berbasis computer vision yang bertujuan untuk mendukung aksesibilitas bagi penderita buta warna dalam mengenali warna objek secara cepat dan akurat. Warna merupakan elemen penting dalam penyampaian informasi visual, namun keterbatasan persepsi warna dapat menyebabkan kesalahan interpretasi pada aktivitas sehari-hari. Oleh karena itu, diperlukan solusi berbasis teknologi yang mampu membantu pengguna dalam mengidentifikasi warna secara mandiri melalui perangkat mobile. Sistem yang dikembangkan mengintegrasikan model deteksi objek YOLOv11 dengan metode klasifikasi warna menggunakan OpenCV berbasis ruang warna HSV. Dataset yang digunakan merupakan data primer yang dikumpulkan secara mandiri melalui pengambilan citra objek berwarna pink, hijau, dan kuning dengan variasi kondisi pencahayaan, jarak, dan sudut pengambilan. Tahapan penelitian meliputi pengumpulan data, preprocessing citra, pelatihan model, integrasi sistem ke aplikasi Android, serta evaluasi performa. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi dan mengklasifikasikan warna secara real-time dengan tingkat akurasi rata-rata sebesar 92% dan waktu respons di bawah 0,5 detik per frame. Implementasi pada aplikasi Android menunjukkan performa yang stabil pada kondisi pencahayaan normal dan latar belakang yang bervariasi. Dengan demikian, penelitian ini membuktikan bahwa pemanfaatan teknologi deep learning dan pengolahan citra digital dapat memberikan solusi praktis dan efektif dalam meningkatkan aksesibilitas bagi penderita buta warna serta berpotensi dikembangkan lebih lanjut pada skala penggunaan yang lebih luas.
Isolation And Characterization Of Nitrogen Fixing Fungi From Fruit And Vegetable Waste Compost Dimas Prasetya, Rizki; Walida, Hilwa; Ainy Dalimunthe, Badrul; Rizal, Khairul
International Journal of Science, Technology & Management Vol. 4 No. 4 (2023): July 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i4.875

Abstract

Nitrogen fixing fungi are fungi capable of fixing free nitrogen into ammonium or nitrate, so that it can be absorbed by plants. Many species of microbes/fungi have the ability to fix nitrogen, but very few are able to excrete nitrogen in the form of ammonia so that their contribution in providing nitrogen for plants is also still low. This study aims to determine the characteristics and type of nitrogen fixing fungi in fruit and vegetable waste compost. The method used in this research was descriptive method. Identification of nitrogen-fixing fungi was carried out macroscopically by looking at the color of the colonies, the shape of the colonies, and the diameter of the fungal colonies, an then identified by molecularly. There were 4 isolates of nitrogen-fixing fungi capable of forming clear zones on Jensen's media with different morphological characteristics and nitrogen-fixing abilities. The largest diameter of the clear zone was shown in isolate A3 of 3.2 cm which is the fungus Aspergillus niger strain SG1.
Smart Mompreneur: Digitizing Village Women's MSMEs for Economic Independence and Family Sustainability Muti'ah, Rahma; Ritonga, Mulkan; Rizal, Khairul
Unram Journal of Community Service Vol. 6 No. 4 (2025): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i4.1362

Abstract

Rural women's Micro, Small, and Medium Enterprises (MSMEs) are the pillars of the family economy. However, the management of village MSMEs is still constrained by low product added value, simple product packaging, and a conventional marketing system. This service aims to empower these MSMEs through an innovative mompreneurship approach to achieve economic independence and family sustainability. The implementation method uses participatory training and technical assistance, including four integrative modules: (1) compost fertilizer production for sustainable agriculture; (2) packaging design and standardization; (3) the creation of promotional materials with Canva; and (4) digital marketing and e-commerce strategies. The evaluation results showed a significant increase in participants' competencies, especially in transitioning from traditional to digital marketing. Agricultural products, such as chili, melon, and others, after undergoing quality improvement and branding, have penetrated the modern market through sustainable channels, including local minimarkets and online stores. The "Smart Mompreneur" program is effective in digitizing and increasing the economic value of MSMEs. For sustainability, it is recommended to strengthen joint business groups and provide follow-up assistance. This model can be replicated to support gender equality and inclusive economic growth in line with the SDGs.
Co-Authors Abd Rahman Abdi, Mhd Fahmi Agus Suryandi, Fauzi Ahmad Multazam, Ahmad Ainy Dalimunte, Badrul Ainy Dalimunthe, Badrul Amir Amir Andriyanto, Gian Anggraeni Anggana, Zelvin Anggi Susilawati Anggit Verdaningrum Kumala Sari, Anggit Verdaningrum Kumala antoni, prima Aras Mulyadi Aswadi, Khairul Ayu Putri Septiani, Ika Bayu Syahputra, Ade Bibit Sudarsono Bintang, Surya Cendani, Zahra Dwi Cristopher, Samuel Dalimunthe, Badrul Ainy Dalimunthe, Gunawan Syahputra Devi Rahayu Dian Permana, Dian Dimas Prasetya, Rizki Dini Hariyati Adam Erdiansyah Rahmi Faddillah, Umi Fajar Utomo, Waskito Fattya Ariani Fauzi, Manyuk Fazri, Muhammad Fitrayana, Fikri FS, Harahap Harahap, Fitra Syawal Harahap, Fitrah Syawal Harahap, Puja Supiah Harahap, Syukur Hartati Yusida Saragih, Siti Hasibuan, Jasman Hasibuan, Mhd. Safrijal Hendra Wicaksono, Hendra Hery Widijanto Hidayatullah, Syafiq Hilwa, Walida Hutauruk, Stanley Ravelino Ida Ayu Putu Sri Widnyani Insan Cemerlang, Adinda Gadis Irfan Aulia Syaiful JULHAM, MUHAMMAD Juli Melia Keane, Teuku Nizam KOKOM KOMARIYAH, KOKOM Komariyah, Kokom Komariyah Krisna, Jian Kudiantoro Widianto, Kudiantoro Kusuma, Karishma Tirta Jaya Lestari, Lintang Aisah Lestari, Widya Lutfi Fadilah Zamzami Maharani, Sherly Mahardika, Wiwit Arif Mahdi Abrar Mahmudi, Ahmad Maliki Maliki Manaraja, Albertus Marbun, Stephanie Rotua Uli Marpaung, Hendrick Jonathan Meriza Faradilla Mudinillah, Adam Mufti, Hisbul Muhammad afrizal Mustika Wati, Mustika Muti'ah, Rahma Nabila, Risqa Nanang Nuryadi, Nanang Novilda, Mustamu Elizabeth Nuryaman, Yosep Permana, Rifaldi Bagas Prabowo, Saftana Kanda Pradhana, Bintang Arfiandi Pristikawati, Devi Pura, Arya Putri Septyani, Ika Ayu Rahman, Ryan Rahmat Hidayat Rayhan, Cahya Muhammad Renaldy, Kurnia Reynaldi, Bayu Richardo, Yusuf Jordi Ritonga, Mulkan Roslizawaty Roslizawaty, Roslizawaty Rosmaidar Rosmaidar, Rosmaidar Sakmir, Rizat Sanggayasa, Sanggayasa Sardi, Melan Damayanti Sari, Yeni Indria Sartika, Henny Seprian, Yusmaidar Sepriani, Yusmaidar Septyani, Ika Ayu Siddik, Pazar Simatupang, Ari Buana Sinaga, Saputra Sitanggang, Kamsia Dorliana Siti Hartati Yusida Saragih Suardika, Deni Sulistiowati, Rini Suryaningsih, Evi Susliansyah, Susliansyah Syafruddin Syafruddin Syamsiar, Huldia Syawal Harahap, Fitra Syawal, Muhamad Akmal Toni, Maria Igniosa Toriq, Muhammad Khaakam Tri Putri Utami Utandi Harahap, Sabribal Walida, Hilwa Wardiyono, Wardiyono Wasabisu, Nuraziana Wibowo, Muhamad Arif Widianto, Yovi Yudi Triyanto Yusida Saragih, Siti Hartati Zuhrawati Zuhrawati, Zuhrawati