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KHOIRUN NISA
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Konsep Kearifan Lokal dan Ilmu Pengetahuan Penggunaan Materi Berbasis Lokal Kurikulum Berbasis Cinta pada Madrasah Ibtidaiyah Khoirun Nisa; Asqia Viani; Ahmad Zainuri; Frika Fatimah Zahra
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 1 No. 6 (2025): NOVEMBER
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/ym0yh022

Abstract

The Love-Based Curriculum integrates values of compassion, character formation, and Islamic spirituality into all learning activities. This study was conducted to examine how the concept of local wisdom is applied within the context being investigated and scientific knowledge through the use of locally based learning materials within the Love-Based Curriculum implemented in Madrasah Ibtidaiyah. Using a qualitative approach through direct observation, in-depth interviews, and the examination of relevant documents, this research explores how teachers develop and utilize learning materials derived from local cultural contexts to enhance students’ understanding of scientific concepts. The findings indicate that local-based materials significantly increase student engagement, foster appreciation for regional culture, and strengthen the connection between scientific knowledge and local wisdom values. Furthermore, the integration with the Love-Based Curriculum supports the development of students’ moral character, environmental awareness, and contextual understanding of their surroundings. Thus, the incorporation of local wisdom in learning contributes positively to students’ intellectual, emotional, and spiritual growth in Madrasah Ibtidaiyah.
Perancangan Smart Stick untuk Mobilitas Penyandang Tunanetra Berbasis Mikrokontroler Prayoga, Estu; Arif Setia Sandi A; Khoirun Nisa
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

The development of assistive technology for visually impaired individuals is essential to enhance their mobility and safety. This research successfully designed and developed a Smart Stick based on a microcontroller, equipped with ultrasonic and water level sensors to detect obstacles and water puddles in real-time. The system provides immediate warnings through a speaker, allowing users to navigate their environment more effectively. The testing phase demonstrated that the ultrasonic sensor accurately detects obstacles within a range of 50–150 cm, while the water level sensor activates an alarm when the water reaches 40 mm. The results indicate that the Smart Stick is reliable in detecting obstacles and providing early warnings, improving the independence and security of visually impaired users. Future improvements may include IoT integration, Bluetooth headset compatibility, and enhanced sensor accuracy to optimize its functionality.
PENERAPAN APLIKASI PANDUAN BUDIDAYA IKAN LELE DENGAN SISTEM BIOFLOK PADA KELOMPOK TANI LELE BP. SUMBERJAYA TAMBUN Anna Mukhayaroh; Rizki Aulianita; Khoirun Nisa
Bagimu Negeri Vol 9 No 2 (2025)
Publisher : Universitas Muhammadiyah Pringsewu

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Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengaktifkan kembali usaha budidaya ikan lele pada Kelompok Tani Lele Bp. Sumberjaya Tambun melalui penerapan aplikasi panduan budidaya ikan lele berbasis sistem bioflok. Permasalahan utama mitra meliputi terhentinya kegiatan budidaya, rendahnya pengetahuan kader remaja, serta belum adanya panduan budidaya yang terstandar dan mudah diakses. Metode pelaksanaan pengabdian dilakukan secara luring melalui tahapan observasi, wawancara, studi pustaka, serta penyuluhan dan diskusi menggunakan aplikasi panduan budidaya lele sistem bioflok yang dapat diunduh melalui Play Store. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap konsep dan praktik budidaya lele bioflok serta kemudahan dalam mengikuti langkah-langkah operasional budidaya melalui aplikasi. Penerapan teknologi ini diharapkan mampu meningkatkan produktivitas budidaya ikan lele, mendukung ketahanan pangan masyarakat, serta memberikan dampak ekonomi bagi warga sekitar secara berkelanjutan.
Pengaruh Penggunaan Media Diodrama Hujan Terhadap Pemahaman Siswa di SD Negeri 17 Kampung Dalam, Sijunjung Adinda Ramawati; Alwiyah Nasution; Alya Mardatilla; Khoirun Nisa; Rifky Adha; Randi Purnama Putra
Jurnal Intelek Insan Cendikia Vol. 2 No. 12 (2025): Desember 2025
Publisher : PT. Intelek Cendikiawan Nusantara

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Abstract

Studi ini menyelidiki bagaimana penggunaan media diodrama hujan memengaruhi pemahaman siswa kelas V tentang materi siklus air di SD Negeri 17 Kampung Dalam, Kecamatan Lubuk Tarok, Sijunjung. Eksperimen semu (quasi-experimental) dilakukan dengan desain pretest-posttest satu kelompok. Sampel penelitian terdiri dari 13 siswa dalam satu kelas, dengan 4 laki-laki dan 9 perempuan.Setiap siswa menjalani tes pemahaman materi secara individual baik sebelum maupun sesudah menggunakan media diodrama Hujan. Tes pemahaman siklus air dilakukan baik sebelum maupun setelah media digunakan. Hasil pengolahan data menunjukkan bahwa skor pemahaman siswa meningkat secara signifikan setelah menggunakan media diodrama Hujan. Ini menunjukkan bahwa media diodrama Hujan efektif. Berdasarkan temuan ini, hujan diodrama disarankan sebagai salah satu alternatif media pembelajaran untuk meningkatkan hasil belajar siswa pada materi IPA di sekolah dasar.
Application of Physics-Informed Neural Networks (PINNs) for the Numerical Solution of the Time-Independent Schrödinger Equation Akhsan, Hamdi; Khoirun Nisa; Nurhikmah, Putri; Wailaina; Ariska, Melly
Progressive Physics Journal Vol. 6 No. 2 (2025): Progressive Physics Journal
Publisher : Program Studi Fisika, Jurusan Fisika, FMIPA, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/6881zx10

Abstract

This work investigates the application of Physics-Informed Neural Networks (PINNs) for numerical solutions to the time-independent Schrödinger equation of the quantum harmonic oscillator in one, two, and three spatial dimensions. Fully connected neural architectures are constructed to approximate wavefunctions over finite symmetric domains, while the corresponding energy eigenvalues are treated as trainable parameters. The training strategy utilizes randomly sampled interior points to enforce the Schrödinger operator residual and boundary points to impose vanishing wavefunction constraints. For the 1D quantum harmonic oscillator, the learned ground-state wavefunction yields an energy of E = 1.2939 after 12,000 iterations. In the 2D configuration, convergence is achieved at E = 2.1352 within 14,000 iterations, whereas the 3D model attains E = 2.6377 after 12,000 iterations. These values agree with the expected trend of increasing ground-state energy with dimensionality, although deviations from exact analytical values indicate that PINNs may experience optimization challenges and sensitivity to sampling density and boundary enforcement. Despite these limitations, the trained models successfully capture the characteristic spatial symmetries and Gaussian-like envelope of harmonic oscillator eigenstates across all dimensions. These findings demonstrate that PINNs offer a flexible, mesh-free alternative for solving stationary quantum systems, particularly when analytical or conventional numerical approaches become impractical. The method shows strong potential for higher-dimensional quantum applications, even though further refinement such as improved sampling, loss balancing, and network depth remains necessary to suppress residual error and enhance eigenvalue accuracy.
Job Order Costing dalam Era Digital: Tinjauan Konseptual dan Tantangan Implementasi Galuh Sandi; Catur Febriyan; Yesi Novia Pitriani; Annisa Luthfiyyah; Marista Febria Safutri; Khoirun Nisa; Rizka Mufidah; Diah Arum Sari Nawang Ulan
Indonesia Economic Journal Vol. 1 No. 2 (2025): DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/aq5f5r39

Abstract

Job Order Costing (JOC) merupakan metode penentuan biaya produksi yang digunakan untuk menghitung harga pokok berdasarkan pesanan secara spesifik. Artikel ini bertujuan mengkaji konsep Job Order Costing dalam era digital serta menganalisis tantangan implementasinya berdasarkan tinjauan berbagai penelitian terdahulu. Hasil kajian menunjukkan bahwa JOC sangat relevan diterapkan pada perusahaan dengan karakteristik produksi berbasis pesanan atau produk tidak standar, seperti digital printing, konveksi, manufaktur komponen, sablon, dan industri meubel. Penerapan JOC memungkinkan pencatatan biaya bahan baku langsung, tenaga kerja langsung, dan biaya overhead pabrik secara lebih rinci sehingga menghasilkan perhitungan harga pokok produksi (HPP) yang lebih akurat. Perkembangan teknologi informasi, khususnya sistem berbasis web, terbukti meningkatkan efektivitas JOC melalui otomatisasi perhitungan, pengurangan kesalahan input, integrasi data biaya, serta penyediaan laporan yang cepat dan informatif. Namun demikian, berbagai penelitian juga menemukan bahwa banyak perusahaan belum menerapkan JOC secara optimal, terutama dalam pengklasifikasian dan pengalokasian biaya overhead seperti penyusutan mesin, listrik produksi, dan biaya pemeliharaan. Ketidaklengkapan pencatatan biaya tersebut menyebabkan HPP yang dihasilkan lebih rendah dari biaya produksi sebenarnya dan berdampak pada ketidaktepatan penetapan harga jual serta laba perusahaan. Secara keseluruhan, kajian ini menegaskan bahwa digitalisasi Job Order Costing mampu meningkatkan akurasi perhitungan biaya, memperkuat pengendalian biaya, dan mendukung pengambilan keputusan manajerial, namun keberhasilannya sangat bergantung pada kesiapan teknologi dan kompetensi sumber daya manusia.
`BERBANTUAN COPILOT AI KELAS XII DI SMAN 1 PERCUT SEI TUAN Adzkia Rizkianisa Awira Siregar; Aanisah Nadya Shafwah; Eveline Stephani; Fadhylah Zaini Pardede; Khoirun Nisa; Trisnawati Hutagalung; Nurul Azizah
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i04.39405

Abstract

This study aims to develop innovative teaching materials on main ideas and supporting details assisted by Copilot AI for twelfth-grade students at SMAN 1 Percut Sei Tuan as an effort to improve students’ reading literacy skills in the digital era. This research employed a Research and Development (R&D) model using the ADDIE approach, which includes the stages of analysis, design, development, implementation, and evaluation. Data were collected through observations, interviews, questionnaires, and expert validation. The validation results from material and media experts showed a feasibility percentage of 93% categorized as very valid, while the trial conducted on 30 students yielded a practicality score of 85%, indicating that the Copilot-AI-assisted teaching materials effectively supported students in understanding main ideas and supporting details. The findings of this study confirm that the use of Copilot AI enhances conceptual understanding, facilitates more interactive learning, and serves as a relevant and adaptive alternative learning medium in Bahasa Indonesia instruction.
Co-Authors Aanisah Nadya Shafwah Abdul Fattah Nasution Addina Tafaquh. F Adib Ahmada Adinda Ramawati Aditya Dwi Prananda Adzkia Rizkianisa Awira Siregar Agisca Arifien Ahmad Syihabuddin A.F Ahmad Zainuri Aji Pramudya Akbar Rafsanjani Alip Laila Bintar Wati Alwiyah Nasution Alya Mardatilla Amalia Wahyuningtyas Amaluddin Tanjung Anastasia Wheni Indrianingsih Andra Abel Guvinda Angel Vionika Saharani Anika Ardila Anna Mukhayaroh Annastasya Nabila Elsa Wulandari Annisa Luthfiyyah Anzilly Ifadatun Ummah Arif Setia Sandi A. Arimbi Syahkila Simangunsong Aslikhatun Khoiriyah Asqia Viani Auffah Yumni Aulia Utami Aripin Ayu Lucy Larassaty Ayu Salsabila Ayu Shaumina Mubarokah Ayuda Dyah Nurekawati Baihakil Aziz carmidah carmidah Catur Febriyan Chusnul Chotimah Cici Darsih Deberina Syurfi Yunina Dede Cahyati Sahrir Dedi Masri Deny Tri Prasetia Devy Kusuma Dian Andani DEWI LEYLA RAHMAH Diah Arum Sari Nawang Ulan Dian Sulistyorini Wulandari Diardana Prima Sintasari Dina Oktapia Dina Oktavia Dina Tri Mulyani Djatnicka, Erlina Een Juhriah Elsa Amelia. A Elva Meilani Sagita Erlin Maulidatus. S Eva Ulfiana Dewi Eveline Stephani Fadhylah Zaini Pardede Fajarwati, Salsabila Fani Laffanillah Fara Amalia Dewi Fatimatus Zahro Fiki Khoirotussiha Firdatul Izza Fithriyani, Dina Frida Aprilia Frika Fatimah Zahra Galuh Sandi Gentio Harsono H. Moeljadi Hamdi Akhsan Haq, Furqonul Hendri Stiawan Ignatia Esti Sumarah Ika Ika Iksan Adi Nugroho Ilvi Mawaddah Inom Nasution Irma Tussa’diah Hasibuan Ismatul Izzah Iva Nur Zakiya Ivan Ilham Riyandi Izzatun Nafis Kale Khairi Putik Nurikhwani Kenconojati, Hapsari Khairun A Roni Khotimatul Husna Lestari Yusuf Lulu Nazma Lailatul Muchlis M. Mun’im M. Yunus Abu Bakar Machful Indra Kurniawan Manik, Santini Marista Febria Safutri Mauliana, Metatia Intan Maulidayani Maulidayani Mega Dewi Ambarwati Mela Safitri Situmorang Melly Ariska Meysah Wanda Sari Mia Indriyani Minsih Mochamad Rizal Yulianto Mochamad Wahyudi Moh. Hafidh Ubaidillah Al Hasan Moh. Mahmud Moh. Rofiki Mohammad Ahyar Ma'arif Mohammad Falahuddin Muhammad Aidil Fitri Muhammad Alfiansyah Muhammad Ispan Muhammad Kasran Munawaroh Munirul Abidin MUZAYANAH Nafia Ilhama Qurratu’aini Narwikah Narwikah Nashihin Naswa Ika Febrianty Nihayatus Sakhiyah Niken Eriana Azzahra Fauzi Noly Shifiyah Nor Anisa Novelya Aleena Rofani Novi Arilia Safitri Novia Dwi Rahmawati Novrina Feronita Br.Sibuea NUR HASANAH Nur Izzah Nur Subekti Nurheny Rahmawati Nurhikmah, Putri NURUL AZIZAH Nurul Ismaiyah Nurul Lathifatul Fithriya Prayoga, Estu Purwono Purwono, Purwono PUTRI HANDAYANI Putri Syafaatun Qoni'ah Nur Wijayani Qurrotul A’yuni Rachman Hidayat Randi Purnama Putra Reni Endrawat Retno Septiwulan Riani Nur Azizah Ridlotun Nuvi Setyan Rifky Adha Rina Devianty Riska Nur Aini Rismadefi - Woferst Rizal Fadly Ardiansyah Riziq Syehab Rizka Mufidah Rizki Aulianita Sabrienda Najwa. A Salwa Nabila Damanik Septi Nurhayati Shalvena Aura Azzura Sholihah Roekhana Silma Zulfaika Sibli Siti Anisah Siti Fatimah, Eva Sofyan Syamsuddin Soomro, Suhaib Ahmed Subhi Indriyani Subi anto Sukendra Martha Supriyanta Supriyanta Susan Widianingsih Tengku Darmansyah Tina Novi Lestari Trisnawati Hutagalung Valent Milenio Boas Santosa Vanda Rezania Viraesti Damayati Vita Taufika Rosyida Wahyu Eko Pujianto Wahyu Ningsih Wailaina Waluyo, Dangan Winih Budiarti Wisnu Panggah Setyono Wiwin Eka Kristina Wuri Apriyana Yayuk Sri Kasiani Yesi Hasneli Yesi Novia Pitriani Yudhi Novriansyah Yumi Kholifah Yunianita Rahmawati Zahro Ulfaturrohmatiririn Zakiyatun Nabila zulfatun anisah Zuyyina Fihayati