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All Journal Englisia Journal Jurnal Informatika dan Teknik Elektro Terapan Islamika: Jurnal Keislaman dan Ilmu Pendidikan Jurnal Pendidikan dan Teknologi Indonesia Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sistem Informasi Dan E-Bisnis Impressive: Journal of Education Jurnal Ilmiah Sistem Informasi JERIT: Journal of Educational Research and Innovation Technology
Munif, Munif
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Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Other

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Integration of Ethnic Tengger Local Cultural Values in Merdeka Curriculum for Elementary Education Level A-C Amiruddin, Mochammad; Munif, Munif; Sholikhudin, M. Anang
ISLAMIKA Vol 7 No 3 (2025): JULI
Publisher : Pendidikan Agama Islam STIT Palapa Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36088/islamika.v7i3.5742

Abstract

This study examines the integration of local cultural values of the Tengger ethnic community into the Merdeka Curriculum at the elementary education level, specifically across phases A to C. Utilizing a qualitative case study design, data were collected through in-depth interviews with educators and school administrators, direct classroom observations, and analysis of curricular and instructional documentation in public elementary schools located in Tosari District, Pasuruan Regency. The findings reveal that core Tengger cultural values, such as deliberative consensus, communal cooperation (gotong royong), and interreligious harmony are systematically embedded within thematic learning activities and Pancasila Student Profile (P5) projects. These values are internalized through pedagogical strategies that align with Lickona’s framework of moral knowing, moral feeling, and moral action, fostering holistic character development among students. Teachers contextualize learning content by linking curriculum competencies to students’ lived cultural experiences, thereby enhancing relevance, engagement, and ethical understanding. The study demonstrates that the Merdeka Curriculum provides a flexible platform for the incorporation of local wisdom, enabling culturally responsive and sustainable character education. These findings highlight the potential of curriculum localization to strengthen national education goals while preserving indigenous identity and community values within formal schooling.
Islamic value integration into ELT: A need analysis of international Islamic class program in high school level Munif, Munif; Maulana, Muhammmad Irham; Yulia, Yuyun; Pratiwi, Dwi
Englisia Journal Vol 12 No 2 (2025)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ej.v12i2.27526

Abstract

The integration of Islamic values into English Language Teaching (ELT) poses significant challenges for teachers in Islamic schools. This study examines the obstacles and requirements associated with embedding Islamic principles into ELT at SMP IICP Puncak Darussalam. A needs analysis was conducted with students to explore their motivations, learning objectives, and challenges in language acquisition. The findings indicate that students primarily struggle with listening comprehension and speaking skills. To address these issues, the study recommends adopting a task-based approach, communicative language teaching, role-playing activities, and interactive listening exercises incorporating digital media to enhance engagement and align with students’ goals. These findings are expected to inform the development of effective ELT strategies in Islamic schools, particularly at SMP Puncak Darussalam, fostering more impactful teaching practices.
Effectiveness of Blended Learning Strategy to Improving Students' Academic Performance Sholeh, Muh Ibnu; Habibulloh, Muh; Sokip, Sokip; Syafi’i, Asrop; ‘Azah, Nur; Munif, Munif; Sahri, Sahri
JERIT: Journal of Educational Research and Innovation Technology Vol. 2 No. 1 (2025): June
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jerit.v2i1.17

Abstract

Blended learning combines face-to-face instruction with online learning, designed to provide greater flexibility in the teaching and learning process. This study employs a qualitative approach with a case study method, involving students and teachers as research subjects. Data were collected through interviews, observations, and document analysis, including learning materials, exam results, and assignments given to students. The results of the study indicate that the implementation of blended learning has a positive impact on students' learning motivation, where students feel more motivated to learn independently and have the opportunity to review material at any time through online platforms. Blended learning also enhances the interaction between teachers and students, allowing students to ask questions and engage in discussions more freely. However, challenges such as limited internet access for some students and the lack of technological skills among some teachers reduce the effectiveness of this learning approach. In terms of academic performance, this study found that most students experienced improvement in their exam results and assignments after the implementation of the blended learning strategy, although some students faced difficulties in participating in online learning. Overall, blended learning proves to be effective in improving students' academic performance, as long as the existing challenges can be addressed, such as providing better internet access and offering technology training for teachers. This study suggests that Madrasah Aliyah Darunnajah Trenggalek continues to develop and utilize technology in learning to enhance the quality of education in the future.
Penerapan Algoritma Weighted Moving Average untuk peramalan Penjualan LPG Bersubsidi di Pangkalan Ranba Lamongan Suryani, Dwi Lilis; Frouq, Kemal; Munif, Munif
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 8 (2025): JPTI - Agustus 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.972

Abstract

Ketersediaan dan distribusi LPG subsidi memiliki peranan penting dalam menjaga stabilitas ekonomi dan kesejahteraan masyarakat, terutama di wilayah lokal. Namun, fluktuasi permintaan yang dipengaruhi oleh faktor musiman, kebijakan pemerintah, dan kondisi pasar sering menyebabkan ketidakpastian dalam perencanaan stok, yang dapat mengakibatkan ketidakseimbangan antara pasokan dan permintaan. Penelitian ini mengimplementasikan algoritma Weighted Moving Average (WMA) sebagai metode peramalan untuk memprediksi penjualan LPG subsidi, dengan studi kasus di Pangkalan Ranba Lamongan. Algoritma WMA memberikan bobot lebih besar pada data terbaru, sehingga mampu menghasilkan prediksi yang adaptif terhadap perubahan tren penjualan. Hasil pengujian menunjukkan bahwa WMA mampu menghasilkan prediksi yang lebih akurat dibandingkan dengan metode Simple Moving Average (SMA), dengan tingkat kesalahan prediksi yang lebih rendah berdasarkan metrik evaluasi MAE, MSE, dan MAPE. Nilai MAPE sebesar 1,8% menunjukkan bahwa model WMA memiliki akurasi sangat tinggi dalam memprediksi penjualan LPG subsidi. Hasil ini membuktikan bahwa algoritma WMA lebih responsif dalam menangkap pola musiman dan fluktuasi pasar yang dinamis. Dengan demikian, algoritma WMA dapat menjadi alat yang efektif dalam mendukung pengambilan keputusan operasional pangkalan LPG, khususnya di Pangkalan Ranba, Lamongan. Penelitian ini juga berkontribusi pada pengembangan metode peramalan berbasis data historis yang dapat diterapkan di wilayah lain dengan pola permintaan serupa. Implikasi praktis dari penelitian ini diharapkan mampu membantu pangkalan LPG dalam meminimalkan risiko kekurangan atau kelebihan stok dan meningkatkan kepuasan pelanggan melalui pengelolaan distribusi yang lebih efisien.
Integrasi Radius Server Dengan Database Mysql Untuk Login Hotspot Mikrotik Pada Lingkungan Kampus Mustain, Mustain; Munif, Munif; Mauladi , Kemal Farouq; Susilo , Purnomo Hadi
Jurnal Sistem Informasi dan E-Bisnis Vol 7 No 2 (2025): Agustus
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jusibi.v7i2.600

Abstract

Peningkatan kebutuhan akses internet yang stabil dan terkelola di lingkungan kampus mendorong perlunya sistem autentikasi terpusat yang efisien. Penelitian ini mengimplementasikan integrasi FreeRADIUS, MySQL, dan MikroTik untuk membangun sistem manajemen hotspot berbasis role dengan alokasi bandwidth berbeda untuk setiap kategori pengguna (pejabat: 15 Mbps, dosen/tendik: 10 Mbps, mahasiswa: 5 Mbps). Metode penelitian meliputi analisis kebutuhan, perancangan arsitektur terpusat, dan pengujian fungsional dengan pendekatan black-box dan white-box testing. Hasil penelitian menunjukkan sistem berhasil mencapai: (1) autentikasi terpusat dengan keberhasilan login 98.2% pada 500 pengguna bersamaan, (2) alokasi bandwidth akurat dengan deviasi ≤3%, (3) kompatibilitas sempurna di berbagai platform (Windows, macOS, Android, Linux), dan (4) pengurangan 75% beban administratif. Sistem ini juga mencatat latensi 320 ms, packet loss 0.02%, dan uptime 99.95%. Temuan penelitian mengungkap keunggulan utama dalam skalabilitas dan efisiensi, meski masih perlu pengembangan di aspek keamanan (migrasi SHA-256) dan antarmuka manajemen. Implementasi ini terbukti efektif mendigitalisasi layanan jaringan kampus sekaligus menyediakan model yang dapat diadopsi institusi pendidikan lain.
Peran Komunitas Gusdurian Dalam Menerapkansikap Religius Dan Toleransi Melalui Strategi Komunikasi Persuasif Di Universitas Nadhatul Ulama Sidoarjo Solikha, Sofia Imro'atus; Munif, Munif; Jamhuri, M.
Impressive: Journal of Education Vol 1 No 4 (2023)
Publisher : CV. Satria Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61502/ijoe.v1i4.26

Abstract

The purpose of the research is to find out how the role of the Gusdurian community in implementing religious attitudes and tolerance and to find out how the application of religious attitudes and tolerance through persuasive communication strategies at Unusida. This study uses a qualitative approach with a case study type. The data sources required are primary data and secondary data. Data collection techniques with observation, interviews, and documentation. And the data analysis used is data reduction and data presentation. The results showed that the role of the Gusdurian community in implementing religious attitudes was that students became active in attending prayer congregations, not a few students also wore kopyahs as a symbol to emulate the figure of Gusdur, became more active in lectures and had quality public speaking. Meanwhile, in the attitude of tolerance, students do not differentiate between the castes of other students, mingle with all groups, and are able to become mediators in the event of conflict problems around them. If the application of religious attitudes, through psychodynamic strategies, namely religious and interfaith knowledge discussion activities, sociocultural strategies through banjari activities, nadhatul syubban. Whereas in the attitude of tolerance through psychodynamic strategies, namely Gusdurian care, regular discussions discussing Gus Dur's exemplary example, sociocultural strategies, namely ngobar activities, visits to celebrations of religious holidays, and construction strategies, namely socialization of social media.
IMPLEMENTASI NODE.JS DAN PYTHON UNTUK SISTEM REKOMENDASI LAPTOP Reknadi, Danang Bagus; Fajrin, Mochammad; Munif, Munif; Mustain, Mustain
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.5112

Abstract

Laptop adalah komputer pribadi yang kecil dan ringan, sehingga portabel. Dengan banyaknya brand dan spesifikasi yang ada saat ini, calon pembeli sering kebingungan memilih laptop yang sesuai dengan kebutuhan mereka. Kebanyakan orang lebih familiar dengan aplikasi yang digunakan sehari-hari. Penelitian ini bertujuan untuk mengatasi masalah tersebut dengan mengembangkan sistem rekomendasi laptop. Sistem ini akan membantu calon pembeli memilih laptop yang sesuai dengan kebutuhan spesifikasi minimum aplikasi yang akan digunakan. Metode yang digunakan adalah Content Based Filtering, yang memberikan rekomendasi berdasarkan profil preferensi pengguna dan deskripsi item. Algoritma yang diterapkan adalah Euclidean Distance dan Cosine Similarity. Hasil penelitian menunjukkan bahwa Euclidean Distance dapat merekomendasikan laptop berdasarkan spesifikasi yang paling mendekati kebutuhan aplikasi, sementara Cosine Similarity dapat memberikan rekomendasi laptop dengan spesifikasi serupa saat melihat detail dari hasil rekomendasi Euclidean Distance. Pengujian dengan 100 kali uji data menghasilkan rata-rata precision sebesar 98.4% pada Cosine Similarity.
Sistem Prediksi Penjualan Produk pada STARMART Menggunakan Metode Linear Regression dan Weighted Moving Average Adiyatma, Dhias Arsyah; Rohman, Muhammad Ghofar; Munif, Munif
Jurnal Ilmiah Sistem Informasi Vol. 4 No. 3 (2025): November: Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/g260jt34

Abstract

Penelitian ini bertujuan untuk membuat sistem prediksi penjualan berbasis web pada Starmart dengan menerapkan dua metode, yaitu Linear Regression dan Weighted Moving Average. Penelitian dilakukan dengan beberapa tahap, yaitu pengumpulan data penjualan, pengolahan data, penerapan kedua metode prediksi, serta pengujian akurasi menggunakan Mean Squared Error (MSE) dan Mean Absolute Percentage Error (MAPE).Penulis melakukan pengumpulan data secara langsung yang diambil dari Starmart dengan cakupan data penjualan yang berjumlah 12 kategori produk,Kemudian data diproses untuk membangun aplikasi prediksi penjualan yang bertujuan untuk memprediksi penjualan produk pada Starmart untuk periode selanjutnya.Hasil penelitian menunjukkan bahwa implementasi metode Linear Regression memberikan hasil prediksi yang lebih stabil dan sesuai dengan pola data historis, dengan nilai MSE sebesar 2184.18 dan MAPE sebesar 10.88%. Sementara itu, metode Weighted moving average menghasilkan prediksi yang cenderung fluktuatif dengan nilai MSE sebesar 4715.66 dan MAPE sebesar 17.35%. Berdasarkan perbandingan kedua metode, dapat disimpulkan bahwa Linear regression lebih akurat dibandingkan Weighted Moving Average dalam memprediksi penjualan produk di Starmart.
ANALISIS SENTIMEN BERBASIS KNN DAN HYBRID MACHINE LEARNING UNTUK MENGEVALUASI OPINI MASYARAKAT LAMONGAN TERHADAP PROGRAM MBG Munif, Munif; Mustain, Mustain; Rifki, Rifki
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6960

Abstract

Nutritional problems and food insecurity remain critical challenges in Indonesia, especially in underprivileged areas. To address this, the Lamongan City Government launched the Free Nutritious Meal (MBG) program as a public welfare initiative. This study aims to evaluate public opinion on the MBG program using sentiment analysis based on a hybrid machine learning model combining K-Nearest Neighbor (KNN) and Naive Bayes algorithms. A total of 2,261 public comments were collected from social media, online surveys, and interviews. The data underwent preprocessing, feature extraction using TF-IDF, and dual-stage classification—first by topic (Menu, Impact, Schedule, Others) using Naive Bayes, then sentiment classification (positive, negative, neutral) using KNN. Evaluation metrics including accuracy, precision, recall, and F1-Score were applied. Results show that neutral sentiment was the most dominant (41.28%), followed by positive (32.01%) and negative (26.49%). The model achieved an overall accuracy of 87%, with the highest F1-Score of 0.91 in the positive sentiment category. These results demonstrate that the hybrid model effectively captures community perceptions and can support data-driven evaluation of local social programs.
Co-Authors Adiyatma, Dhias Arsyah Amiruddin, Mochammad Danang Bagus Reknadi Dwi Pratiwi Fajrin, Mochammad Frouq, Kemal Habibulloh, Muh Jamhuri, M. M. Mukhid Mashuri Mauladi , Kemal Farouq Maulana, Muhammmad Irham Mustain Mustain Rifki Rifki, Rifki Rohman, Muhammad Ghofar Sahri Sahri Sholeh, Muh Ibnu Sokip, Sokip Solikha, Sofia Imro'atus Suryani, Dwi Lilis Susilo , Purnomo Hadi Syafi’i, Asrop Yuyun Yulia ‘Azah, Nur