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All Journal International Journal of Advances in Applied Sciences Bulletin of Electrical Engineering and Informatics Journal Industrial Servicess JUITA : Jurnal Informatika POSITIF CESS (Journal of Computer Engineering, System and Science) Jurnal The Messenger Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Jurnal Manajemen STIE Muhammadiyah Palopo Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Edukasi Islami: Jurnal Pendidikan Islam Jurnal Hukum Ekonomi Syariah Jurnal Riset Informatika Journal of Information System, Applied, Management, Accounting and Research JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) JURSIMA (Jurnal Sistem Informasi dan Manajemen) Al Marhalah Kordinat : Jurnal Komunikasi antar Perguruan Tinggi Agama Islam JAMI: Jurnal Ahli Muda Indonesia Al-Liqo: Jurnal Pendidikan Islam Journal of Students‘ Research in Computer Science (JSRCS) Indonesian Journal of Networking and Security - IJNS Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Sains Informatika Terapan (JSIT) Paradigma Jurnal Insan INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Journal of Training and Community Service Adpertisi JURSIMA TONGKONAN: Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Manajemen Jurnal Intelek Dan Cendikiawan Nusantara Ta'lim Ta'lim : Jurnal Multidisiplin Ilmu
Samudi
Universitas Bina Sarana Informatika
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THE EFFECT OF SELF EFFICIENCY, WORK ENVIRONMENT AND JOB SATISFACTION ON TEACHER PERFORMANCE AT HIGH SCHOOL IN BANTEN Nurdin, Ali; Samudi, Samudi
Kordinat: Jurnal Komunikasi antar Perguruan Tinggi Agama Islam Vol. 21 No. 2 (2022): Jurnal Komunikasi Antar Perguruan Tinggi Agama Islam
Publisher : Kopertais Wilayah I DKI Jakarta dan Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/kordinat.v21i2.28454

Abstract

This study aims to examine, analyze and formulate the influence of self-efficacy, work environment and job satisfaction on teacher performance. This research was conducted at High School Mathla'ul Anwar Pandeglang Banten. This study uses survey methods and data analysis techniques using regression. The results of this study indicate that partially each independent variable in this study has a positive and significant effect on the dependent variable with a very good influence value. Meanwhile, simultaneously that self-efficacy, work environment and job satisfaction have a positive and significant effect on teacher performance with a very good influence value. Based on this, it can be concluded that self-efficacy, work environment and job satisfaction can make a very good contribution to teacher performance, so it must be a consideration in managing teacher performance in the field of Islamic religious education studies at High School Mathla'ul Anwar Pandeglang Banten.
MODERNIZATION OF THE COMPETENCE OF ISLAMIC RELIGIOUS EDUCATION TEACHERS AT BANTEN HIGH SCHOOL Kurnia, Ukun; Samudi, Samudi; Arifin, Muhammad
Edukasi Islami: Jurnal Pendidikan Islam Vol. 14 No. 001 (2025): Edukasi Islami: Jurnal Pendidikan Islam (Spesial Issue)
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v14i001.9052

Abstract

Background: The competence of Islamic education teachers must refer to the guidance of the Prophet Muhammad SAW as a teacher who is equipped with excellent personality traits, cares about social and religious issues, and has a passion for reading, analyzing, researching, and experimenting in various phenomena of life by mentioning the name of Allah, so that he is able to maintain and develop the qualities of faith,  righteous deeds, struggle, and cooperation in upholding the truth. Purpose: This study aims to analyze and examine strategies for modernizing the competencies of Islamic religious education teachers. Method: The method used in this study is qualitative with a phenomenological research type, and data collection uses observation, interviews, and documentation, while data analysis uses the Miles and Huberman model, namely data reduction, data presentation, and conclusion drawing, while research triangulation uses methodology in the method. Result: The results of this study show that the implementation strategy for modernizing the competency development of Islamic education teachers at Al-Qudwah High School includes: further studies, teacher group formation, discussion programs, seminars and training, weekly monitoring, the dhuha prayer program, literacy, comparative studies, rewards, Al-Qudwah Care, and others. Conclusion: These strategies for modernizing teacher competency have resulted in an improvement in the quality of Islamic education teachers' competencies in the areas of pedagogy, personality, social skills, and professionalism. Meanwhile, the improvement in the competency of Islamic education teachers has ultimately resulted in an improvement in the quality of teaching and learning activities and student achievement.
Analisis Sentimen Zoom Cloud Meetings Di Play Store Menggunakan Metode IndoBERT Nuraeni Herlinawati; Indah Ariyati; Samudi; Anggun Yuli Asih
Jurnal Sains Informatika Terapan Vol. 5 No. 1 (2026): Jurnal Sains Informatika Terapan (Februari, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i1.1005

Abstract

Pandemi global COVID-19 telah mendorong lonjakan penggunaan aplikasi konferensi video, dengan Zoom Cloud Meetings menjadi salah satu platform dominan. Ulasan pengguna di Google Play Store merupakan sumber informasi berharga mengenai persepsi dan kepuasan pengguna. Penelitian ini bertujuan untuk melakukan analisis sentimen terhadap ulasan pengguna aplikasi Zoom Cloud Meetings di Google Play Store menggunakan metode IndoBERT, sebuah model pra-latih berbasis Transformer yang dikhususkan untuk bahasa Indonesia. Data ulasan dikumpulkan melalui teknik web scraping, kemudian diproses melalui tahap pembersihan, pelabelan berdasarkan rating, dan tokenisasi. Model IndoBERT selanjutnya di-fine-tuning untuk tugas klasifikasi sentimen tiga kelas: positif, netral, dan negatif. Evaluasi performa model menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa model IndoBERT yang telah di-fine-tuning mampu mencapai tingkat akurasi sebesar 92%, dengan F1-score rata-rata tertimbang sebesar 91%. Analisis lebih lanjut terhadap matriks konfusi menunjukkan performa klasifikasi yang baik untuk ketiga kelas sentimen, meskipun terdapat sedikit kebingungan dalam membedakan ulasan netral dari yang negatif atau positif. Penelitian ini mengonfirmasi efektivitas IndoBERT dalam menganalisis sentimen ulasan pengguna berbahasa Indonesia dan memberikan wawasan berharga bagi pengembang Zoom dalam memahami umpan balik pengguna.
Optimasi Naïve Bayes Untuk Analisa Sentimen Pengguna Transportasi Online Menggunakan TF-IDF Herlambang Brawijaya; Samudi; Slamet Widodo
Jurnal INSAN Journal of Information System Management Innovation Vol. 6 No. 1 (2026): Juni 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/j-insan.v6i1.12707

Abstract

Perkembangan layanan transportasi online mendorong meningkatnya jumlah ulasan pengguna pada media sosial yang dapat dimanfaatkan untuk mengetahui tingkat kepuasan pelanggan. Penelitian ini bertujuan untuk mengoptimalkan algoritma Naïve Bayes pada analisis sentimen pengguna transportasi online menggunakan teknik seleksi fitur Term Frequency–Inverse Document Frequency (TF-IDF). Dataset penelitian diperoleh dari Facebook, Twitter, dan Instagram dengan total 2.019 ulasan pengguna. Tahapan penelitian meliputi data harvesting, preprocessing teks berupa data cleaning, case folding, tokenization, stopword removal, stemming, serta pembobotan kata menggunakan TF-IDF. Selanjutnya, proses klasifikasi dilakukan menggunakan algoritma Naïve Bayes untuk mengelompokkan sentimen ke dalam kategori positif, netral, dan negatif. Hasil penelitian menunjukkan bahwa sentimen negatif mendominasi sebesar 84,77%, sedangkan sentimen positif dan netral masing-masing sebesar 9,28% dan 5,78%. Penerapan TF-IDF mampu meningkatkan kualitas fitur teks sehingga proses klasifikasi menjadi lebih optimal pada data tidak terstruktur. Penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan metode analisis sentimen serta menjadi bahan evaluasi bagi transportasi online dalam meningkatkan kualitas layanan kepada pengguna
Hybrid Sampling untuk Meningkatkan Akurasi Deteksi Kanker Serviks pada Data Tidak Seimbang: Kajian Komparatif Slamet Widodo; Samudi; Herlambang Brawijaya
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.16134

Abstract

Cervical Cancer has a high mortality rate among women, driving the adoption of early detection systems based on machine learning. However, their implementation is hindered by class imbalance issues, as seen in the UCI Cervical Cancer Behavior Risk Dataset, where positive cases constitute only 5.8–7.3% of the data. This study proposes an evaluation of resampling techniques—including SMOTE, ADASYN, Random Undersampling, and Borderline-SMOTE—combined with classification algorithms such as RF, XGBoost, LR, GNB, and k-NN. Using Stratified K-Fold Cross Validation to preserve the original class distribution in each fold and ensuring resampling is applied only to the training data in each iteration, the results demonstrate that Borderline-SMOTE significantly improved model performance. Specifically, the Random Forest model achieved a Recall of 0.87 and an AUC-ROC of 0.94. These findings are expected to provide a foundation for future research focused on optimizing adaptive sampling methods
Implementation of PDDIKTI Neo Feeder Web Service in Recording of Independent Campus Activities Herlambang Brawijaya; Slamet Widodo; Samudi Samudi
Jurnal Riset Informatika Vol. 5 No. 2 (2023): March 2023
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i2.210

Abstract

Independent Learning-Independent Campus Program (MBKM) is a policy of granting the right for students to be able to take study activities outside the study program as many as three semesters with the division of two semesters of study outside the college and one semester in different study programs in one college. As well as teaching and learning activities, universities must report Independent Learning-Independent Campus activities to DIKTI every semester through the Neo Feeder PDDIKTI application. The Neo Feeder PDDIKTI application has a feature to enter the activities the operator will carry out. The operator enters this data individually on the Neo Feeder PDDIKTI application. This is a significant problem because the data entry process will take quite a lot of time, even though PDDIKTI has provided web service access to universities to optimize the data reporting process using the Neo Feeder PDDIKTI application. Building an application that can be used for recording MBKM activities by utilizing web services provided by PDDIKTI is the primary purpose of this study. The development of an application certainly requires a method as a framework or guide in facilitating the manufacturing process. The extreme Programming (XP) method becomes essential for applications with variable or non-fixed needs. This method has four working elements: planning, designing, coding, testing and software increment. The output generated by this study is an application for recording MBKM activities that use web service restful API technology so that data entry can be done en masse and not one by one.
Co-Authors - UBSI, Slamet Abd. Rahman Achmad Maezar Bayu Aji ADHI DHARMA SURIYANTO Agus Junaidi Akmaludin Akmaludin, Akmaludin Ali Nurdin Ali Nurdin Alma Eka Ayuningtyas Anas Nasrudin Andi Saryoko Andy Widya Putera Anggun Yuli Asih Anna Mukhayaroh Anna Mukhayaroh Anna Mukhayaroh Anna Mukhayaroh, Anna Arifin, Muhammad Arifin Dicky Taruna Dwi Cahyo Hadi Kusumo Efi Rokana Endang Retnoningsih Erni Ratna Dewi Erwina Erwina, Erwina Gunawan Witjaksana, Gunawan Harmono, Feri Prasetyo Hartawat, A. Sri Indira i Haryani Hasmirati Hayat, Husnul Heri Setiaji Herlambang Brawijaya Ida Farida Indah Ariyati Irawati, Titik Irfan, Noor Kudiantoro Widianto, Kudiantoro Liliek Budiastuti Wiratmo, Liliek Budiastuti M. Mujiono, M. Mujiono Mallapiang, Yassir Mohammad Badrul Muhammad Arifin Muhammad Muharrom Nalendra, Adimas Nicodias Palasara Nuraeni Herlinawati Qalbi, Nur Qalbi, Nur Qalbi Qudsiyah Qudsiyah Ratna Dewi, Erni Riska Aryanti Rohmatulloh, Puri Rosidin Rosidin Siti Faizah Slamet Widodo Slamet Widodo Slamet Widodo Soleh, Soleh Sopiyan Dalis Suhardin Suhardin, Suhardin Sujariati Sujariati, Sujariati Sukma Jaya Susy Rosida Syahruddin Mahmud, Syahruddin Taufik Baidawi, Taufik Ukun, Ukun Kurnia Windu Gata Yuliani, Yuri Yuni Eka Achyani, Yuni Eka Yunia, Noorma Zulfikar, Rachmat