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All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol SENTRI: Jurnal Riset Ilmiah Kartika: Jurnal Studi Keislaman
SHOFIYATI, NUR
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Religion Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Other

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IMPLEMENTASI ALGORITMA GENETIKA DALAM ELIMINASI BENTROKAN JADWAL PERKULIAHAN DI POLITEKNIK UNISMA MALANG SHOFIYATI, NUR; MUSTHOFA, MUH ULINNUHA; PUTRA, ADITYA MAHENDRA
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 6 No 1 (2021): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1039.088 KB) | DOI: 10.24252/instek.v6i1.16587

Abstract

Penelitian ini bertujuan memperoleh efisiensi penyusunan jadwal dengan mengeliminasi bentrokan jadwal menggunakan metode algoritma genetika. Metode penelitian diawali dengan pengumpulan data awal dimana ditemukan permasalaham bentrokan ruang, bentrokan kelas dan bentrokan dosen. Permasalahan tersebut digunakan sebagai dasar perumusan nilai fitness. Nilai fitness dalam penelitian ini deitentukan 1 / (1 + BD + BK + BR). Algoritma genetika penelitian ini menggunakan 6 kromosom agar mendapatkan solusi optimal. Nilai crossover rate di atur sebesar 80%, serta mutation rate dikontrol pada nilai 0.3 atau 30% agar pemrosesan tidak berlangsung lama. Hasil penelitian ini berupa aplikasi penyusunan jadwal berbasis android yang menerapkan algoritma genetika. Berdasarkan uji coba aplikasi menunjukkan bahwa hasil penjadwalan dengan algoritma genetika mampu mengeliminasi bentrokan jadwal. Kata kunci - Genetika, Fitness, Jadwal
Etika Belajar Mengaji Melalui Youtube Menurut Perspektif Hadis Nabi Shofiyati, Nur; Jaya, Dwi Umar; Supriadi, Akhmad; Warman, Taufik; Fadilawati, Agisna; Rahman, Nabilah Cipta
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 7 (2025): SENTRI : Jurnal Riset Ilmiah, Juli 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i7.4264

Abstract

The advancement of digital technology, particularly the YouTube platform, has transformed the paradigm of learning to read the Qur'an, raising questions regarding ethics and moral values within the Islamic context. This study aims to examine the ethics of learning Qur’anic recitation through YouTube from the perspective of the hadiths of Prophet Muhammad (peace be upon him), and to identify relevant ethical principles in online learning practices. This research employs a qualitative method with a literature study approach, using hadiths and Islamic scholarly texts as primary sources. The population includes hadith compilations and related literature, analyzed descriptively and hermeneutically. Data were collected through document analysis and interpreted to identify ethical values and principles in seeking knowledge. The findings reveal five key principles: sincerity of intention, selectivity in choosing teachers, proper listening etiquette, repetition, and application of knowledge, as essential in digital learning to align with the teachings of the Prophet. The study concludes that although digital platforms provide easier access, ethical values must be upheld, and the role of teachers and direct interaction remains vital for instilling moral and spiritual foundations. The study recommends further empirical research to develop ethical learning models aligned with the hadith tradition.
Pemanfaatan Media Sosial Sebagai Strategi Inovatif Dalam Pendidikan Islam di Era Digital Mawaddah Rahmah, Noor; Shofiyati, Nur; Sucia Dewi, Endah; Hidayati, Noorazmah
Kartika: Jurnal Studi Keislaman Vol. 5 No. 2 (2025): Kartika: Jurnal Studi Keislaman (Agustus)
Publisher : Lembaga Pendidikan Tinggi Nahdlatul Ulama (LPT NU) PCNU Kabupaten Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59240/kjsk.v5i2.351

Abstract

The rapid growth of information technology, particularly social media, has transformed various aspects of life, including Islamic education. Platforms such as Instagram, YouTube, WhatsApp, and TikTok provide new opportunities to deliver Islamic teachings creatively and contextually, especially to younger audiences. This study aims to analyze the potential of social media in supporting Islamic education and to identify the challenges it presents. The research employed a library-based method by reviewing books, scholarly articles, and relevant previous studies, followed by a qualitative analysis to synthesize findings. The results indicate that social media offers several benefits: expanding the reach of Islamic educational institutions, introducing innovative learning strategies, reinforcing religious values, and enabling flexible preaching activities. However, it also raises concerns such as moral decline, cyberbullying, reduced concentration, lower interest in learning, negative behavioral patterns, and excessive dependence on technology. Despite these challenges, social media can enhance Islamic education by widening access to resources, fostering collaboration, increasing motivation, and promoting learner autonomy. In conclusion, social media has significant potential to strengthen Islamic education if utilized wisely. The active involvement of teachers, parents, and institutions is essential to ensure its alignment with Islamic values and its positive contribution to students’ character development.
Peningkatan Operasional Mesin Blender pada Produksi Tepung sebagai Upaya Mewujudkan Kemandirian UKM Nurdin, Shafiq; Shofiyati, Nur; Dinnullah, Riski Nur Istiqomah; Fayeldi, Trija
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 5 No 3 (2022)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v5i3.17755

Abstract

Tepung Bumbu Krispi (TBK) merupakan bahan makanan yang diolah dari bahan dasar bumbu dan tepung yang saat ini diminati oleh masyarakat karena praktis dalam penyajiannya, sehingga usaha untuk membuat produk ini memiliki prospek untuk dikembangkan. UKM Tepung bumbu krispi "Amanah" memproduksi TBK selama kurang lebih 7 tahun mengalami kesulitan dalam proses produksi, terutama pengolahan bahan dasar bumbu yang memiliki tekstur butiran kasar dan besar untuk menjadi halus. Dibutuhkan mesin blender dari bahan stainless steel dan kapasitas besar untuk mengembangkan dan meningkatkan produksinya. Program pengabdian kepada melalui Penerapan Iptek Masyarakat (PIM) kepada mitra UKM tepung bumbu krispi “Amanah” memiliki tujuan melakukan pembinaan, pelatihan dan pendampingan terkait sistem operasional, perawatan dan perbaikan mesin blender. Hasil kegiatan pengabdian telah berjalan lancar sesuai jadwal, dimana mitra dan karyawannya mampu mengoperasikan mesin, melakukan perawatan dan perbaikan dasar pada mesin blender. Partisipasi aktif antara pengabdi dengan mitra mampu memberikan peningkatan pada kualitas dan kuantitas mitra dalam menghasilkan produk berupa TBK, sehingga memberikan kelancaran dan kesuksesan dari kegiatan Pengabdian ini.
Smart Decision System dalam Pemakaian Energi Listrik Rumah Tangga Berdasarkan Respon Beban Izza, Syarifatul; Shofiyati, Nur; Azhar, Gillang Al
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 9, No 2 (2023): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v9n2.117-129

Abstract

Faktor penyebab kenaikan konsumsi energi listrik adalah karena masyarakat mulai melakukan aktivitas seperti sebelum pandemi Covid-19. Walaupun kenaikan tersebut tergolong tidak signifikan, perlu dilakukan pemantauan dan pengelolaan penggunaan energi listrik yang bijak untuk mencegah terjadinya lonjakan beban listrik yang berlebihan. Upaya penghematan jumlah konsumsi energi listrik sering dijumpai, akan tetapi velum dapat dilakukan pengendalian atau penentuan beban yang harus padam. Pada penelitian ini dibuatlah sistem di-mana upaya penentuan beban akan otomatis padam atau menyala ketika terjadi konsleting listrik atau beban berlebih. Sistem ini dirancang menggunakan ESP32 dan beberapa sensor yang terpasang pada masing-masing beban menggunakan pemrograman python. Pemilihan beban padam dan menyala berdasarkan pada preferensi dan kebutuhan pengguna rumah pada umumnya. Pengujian ini dilakukan menggunakan simulasi program python dan sebuah prototype rumah dengan 4 ruangan. Pada uji coba simulasi didapatkan hasil simulasi dengan daya terpasang ditentukan sebesar 812 Watt, sehingga data yang ditampilkan pada simulator menunjukkan beban non-prioritas otomatis padam ketika melebihi limit daya sebesar 812 Watt. Se-dangkan pada uji coba alat menggunakan prototype rumah dimana terdapat 4 kondisi saklar yang berbeda disetiap ruangan dengan hasil uji coba menunjukkan bahwa lampu pada ruangan non-prioritas otomatis pa-dam dikarenakan limit mencapai 15 Watt. Dari pengujian yang telah dilakukan maka sistem dapat digunakan untuk menentukan beban sesuai dengan prinsip sistem penentuan beban jika terjadi kelebihan daya yang terpakai dibandingkan daya yang terpasang. The factor causing the increase in electricity consumption is because people are starting to carry out activities like before the Covid-19 pandemic. Although this increase is classified as insignificant, it is necessary to monitor and manage the use of electrical energy wisely to prevent excessive spikes in electrical loads. Efforts to save the amount of electrical energy consumption are often encountered, however, it is not possible to control or determine the load that must be extinguished. In this research, a system is made where the effort to determine the load will automatically turn off or turn on when there is an electrical short or an overload. This system is designed using ESP32 and several sensors are installed on each load using python programming. Selection of the load off and on based on the load consumption database used and the installed power limit. This test was carried out using a python program simulation and a prototype house with 4 rooms. In the simulation test, the simulation results were obtained with the installed power set at 812 watts, so that the data displayed on the simulator shows the non-priority load automatically turns off when it exceeds the power limit of 812 watts. Meanwhile, in testing the tool using a home prototype where there are 4 different switch conditions in each room, depend on the experimental results show that the lights in the non-priority room automatically turn off because the limit reaches 15 watts. From the tests that have been carried out, the system can be used to determine the load by the principle of the decision system if there is excess power used with the installed power.
Co-Authors Akhmad Supriadi, Akhmad Azhar, Gillang Al Fadilawati, Agisna Izza, Syarifatul Jaya, Dwi Umar Mawaddah Rahmah, Noor MUSTHOFA, MUH ULINNUHA Noorazmah Hidayati, Noorazmah Putra, Aditya Mahendra Rahman, Nabilah Cipta Riski Nur Istiqomah Dinnullah Shafiq Nurdin Sucia Dewi, Endah Trija Fayeldi Warman, Taufik