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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 Journal of Training and Community Service Adpertisi JURSIMA TONGKONAN: Jurnal Pengabdian Masyarakat Jurnal Sistem Informasi dan Manajemen Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Ragam Pengabdian Ta'lim Ta'lim : Jurnal Multidisiplin Ilmu
Samudi
Universitas Bina Sarana Informatika
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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.
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.
Pemberdayaan Masyarakat Melalui Program Wakaf Al-Qur'an untuk Meningkatkan Budaya Membaca Al-Qur'an di Desa Sukarendah Kecamatan Warunggunung Kabupaten Lebak Saepudin, Eli Apud; Febriansyah, Febriansyah; maulidah, Nasywa; Oktaviona, Angellicha Putri; Rosdiani, Rosdiani; Widia, Widia; Ikhfay, Farhan Julian; Idzhar, Ade; Yanti, Nova; Samudi, Samudi
Jurnal Ragam Pengabdian Vol. 3 No. 2 (2026): Mei-Agustus, Sustainable Development Goals (SDGs): Multidisciplinary Perspectiv
Publisher : Lembaga Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/3tvcsy67

Abstract

The Quran “waqf’ (endowment) program is a form of community empowerment aimed at fostering a culture of Quran reading while strengthening religious life. In Sukarendah Village, Warunggunung District, Lebak Regency, there is a limited supply of Quran copies in mosques, prayer rooms (musala), and Quran Education Centers (TPQ), which impacts the community's interest in and frequency of reading the Quran. This community service initiative aims to improve public access to the Quran and cultivate a sustainable habit of reading it. The implementation employs a participatory approach involving needs assessment, coordination with village officials and religious leaders, the collection and distribution of Quran endowments, raising awareness about the importance of Quranic literacy, and providing guidance for *tadarus* (communal Quran recitation) activities. The results demonstrate increased Quran availability in places of worship and TPQs, greater community participation in Quran reading activities, and a rise in social consciousness through the endowment movement. The program also reinforces the role of the mosque as a hub for religious guidance and community education. Thus, the Quran “waqf” program has proven to be an effective community empowerment strategy for enhancing the culture of Quran reading and strengthening religious values ​​and social cohesion in Sukarendah Village.
BAHASA TUBUH PEREMPUAN DALAM IKLAN KOSMETIKA DI TELEVISI ( SEBUAH ANALISIS WACANA) Gunawan Witjaksana; Samudi Samudi
Jurnal The Messenger Vol. 2 No. 1 (2010): January-June
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/themessenger.v2i1.279

Abstract

In the era of liberalization that characterized the television media with comodification various impressions to attract viewers, in many ways carried on various kinds of impressions displayed. No exception impressions cosmetic ads which in practice is clearly a lot of exploiting women's body language to attract the audience that they ultimately want to use the products offered. Cosmetics with herbs ad exploits women's bodies are often ignored ethics, especially related to KPI P3SPS and cultural and religious views of society and the rights of adolescents and women. The impact is certainly there was a negative. For that research using discourse analysis techniques to examine the use of body language in women's cosmetics advertisements on television to be attractive for the study. The goal is clear to see how the exploitation of women's body language in advertisements on television cosmetics. Through discourse analysis method of recording by cosmetics ads on television, and then analyzed by discourse analysis, it can be concluded that, of cosmetics advertisements on television were likely to utilize and exploit the   perfect female body , in order to reach an audience sympathetic to using products that offered them. Unfortunately, the exploitation of women's body language in the cosmetics ads, less attention to ethical and religious views of the majority of Muslims in Indonesia, so the ad tend ignore the interests of general public and particularly children, adolescents, and women themselves.
Building a Predictive Model for Chronic Kidney Disease: Integrating KNN and PSO Widodo, Slamet; Brawijaya, Herlambang; Samudi, Samudi
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3282

Abstract

This study examines the improvement of prediction accuracy for Chronic Kidney Disease (CKD) through the integration of the K-Nearest Neighbors (KNN) method with Particle Swarm Optimization (PSO). Amidst the rising prevalence of CKD, closely related to diabetes and hypertension, early detection of CKD becomes a significant challenge, especially in Indonesia where access to healthcare facilities and public awareness remain limited. This study utilizes the Chronic Kidney Disease dataset from the UCI Machine Learning repository, encompassing 400 patient records with 24 clinical, laboratory, and demographic variables. With the KNN method, this approach classifies data based on feature proximity, while PSO is used for feature selection and parameter optimization, enhancing the model's accuracy and efficiency in identifying CKD at early stages. The findings indicate a significant improvement in prediction accuracy, from 80.00% using KNN to 97.75% after integration with PSO. These results affirm that the combined approach of KNN and PSO holds great potential in improving early detection and management of CKD, paving the way for further research into practical applications in the healthcare field.
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 Eli Apud Saepudin Endang Retnoningsih Erni Ratna Dewi Erwina Erwina, Erwina Febriansyah Febriansyah Gunawan Witjaksana Harmono, Feri Prasetyo Hartawat, A. Sri Indira i Haryani Hasmirati Hayat, Husnul Heri Setiaji Herlambang Brawijaya Ida Farida Idzhar, Ade Ikhfay, Farhan Julian Indah Ariyati Irawati, Titik Kudiantoro Widianto, Kudiantoro M. Mujiono, M. Mujiono Mallapiang, Yassir Maulidah, Nasywa Mohammad Badrul Muhammad Arifin Muhammad Muharrom Nalendra, Adimas Nicodias Palasara Nova Yanti Nuraeni Herlinawati Oktaviona, Angellicha Putri Qalbi, Nur Qalbi, Nur Qalbi Qudsiyah Qudsiyah Ratna Dewi, Erni Riska Aryanti Rohmatulloh, Puri Rosdiani Rosdiani 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 Widia, Widia Windu Gata Yuliani, Yuri Yuni Eka Achyani, Yuni Eka Yunia, Noorma Zulfikar, Rachmat