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All Journal bit-Tech Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Abdi Jurnal Publikasi AMMA : Jurnal Pengabdian Masyarakat
Indra Kristianto
Universitas Pamulang
Humanities Chemistry Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Social Sciences Other

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PELATIHAN MS OFFICE DAN PEMBUATAN GOOGLE FORM SEBAGAI SALAH SATU INOVASI DALAM KEGIATAN BELAJAR MENGAJAR DI PONDOK PESANTREN BAHRUL HADI ARRAHMANI PONDOK PETIR– DEPOK Indra Kristianto; Abdullah Muhajir; Ahmad Ahmad; Bram Purnomo; Muhamad Santoso
Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Vol 3, No 1 (2022): Edisi Januari
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/al-jpkm.v3i1.17064

Abstract

Pondok pesantren merupakan salah satu lembaga pendidikan Islam yang merupakan hasil buah karya bangsa Indonesia. Pendidikan pondok pesantren Bahrul Hadi Arrahmani  bertujuan untuk memperdalam ilmu pengetahuan al-Quran dan hadits. terdapat pembentukan karakter pada santri sendiri. Peserta didik tidak hanya dididik melalui transfer of knowlege tetapi juga transfer of value. Pondok pesantren harus mewujudkan system 4 pendidikan yang sinergik, yakni system pendidikan yang memadukan akar tradisi dan modernitas. Dunia pendidikan saat ini khususnya jenjang sekolah seluruhnya mulai beradaptasi dengan era teknologi dan rata-rata pengerjaan tugas menggunakan Ms. Office dan Google form.Kemampuan menggunakan Ms. Office dan google form saat ini berfungsi sebagai standarisasi seseorang dalam menggunakan komputer, karena hampir semua hal dalam pembuatan laporan atau pekerjaan kantor menggunakan Ms. Office dan google form. Maka kegiatan pengabdian ini memberikan pelatihan dan pengetahuan tentang pemanfaatan Microsoft Word, Excell,  serta Google form untuk mengerjakan tugas serta melatih dan mengajarkan siswa dalam penggunaan Ms. Office dan Google form.
Pelatihan Pembuatan Blog / Website Pribadi Gratis Untuk Siswa Di SMPN 4 Tangerang Selatan Indra Kristianto; Ahmad; Muhammad Santoso
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 5 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

A blog / website is an online journal or journal that contains a variety of information, such as articles, photos or videos, which are updated regularly. PKM activities at the Tangsel 4 Middle School in the South Tangerang area this time we will provide training on creating personal blogs/websites for free with the aim of students knowing how to create them from the start. Apart from that, creating a blog can be useful for improving oneself both in iincreasing knowledge and improving writing skills and the ability to understand technology.
Comparative Evaluation of Random Forest and Support Vector Machine for Interpretable Breast Cancer Prediction Herwis Gultom; Indra Kristianto
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3821

Abstract

Breast cancer prediction requires classification models that are not only accurate but also clinically meaningful in minimizing missed malignant cases. This study addresses the research question of whether Random Forest (RF) and Support Vector Machine (SVM) differ meaningfully in sensitivity-oriented breast cancer classification when evaluated under a consistent empirical benchmarking framework. Using the Breast Cancer Wisconsin Diagnostic Dataset from Kaggle, comprising 569 instances and 30 numerical diagnostic features, the study implemented a supervised machine learning workflow involving data cleaning, label encoding, StandardScaler-based feature standardization, stratified 80:20 train–test partitioning, model training, and hyperparameter optimization. Performance was assessed using accuracy, precision, recall, F1-score, confusion matrix analysis, and Area Under the Curve (AUC). The SVM model achieved 97.36% accuracy, 100% precision, 92.85% recall, 96.29% F1-score, and 99.54% AUC, whereas RF achieved 96.49% accuracy, 100% precision, 90.47% recall, 95.00% F1-score, and 99.60% AUC. The primary contribution is therefore positioned as empirical benchmarking rather than a new explainable AI framework. SVM produced fewer false negatives, indicating stronger sensitivity for malignant-case detection at the selected decision threshold, while RF provided complementary feature-importance evidence for identifying influential diagnostic variables. These findings clarify the trade-off between sensitivity-driven predictive reliability and model-specific interpretability, suggesting that SVM is preferable for reducing missed malignant cases, whereas RF remains useful when transparent feature-level insight is required.
PENINGKATAN PEMAHAMAN TENTANG EXPERT SYSTEM BAGI SISWA DAN GURU SMK BINTANG NUSANTARA Muhammad Bahrein; Ahmad; Indra Kristianto
Abdi Jurnal Publikasi Vol. 5 No. 1 (2026): September
Publisher : Abdi Jurnal Publikasi

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Abstract

This community service program aims to improve the understanding and skills of students and teachers at SMK Bintang Nusantara regarding expert systems through socialization, practical workshops, and training. The program was motivated by students' low basic knowledge and practical experience of expert systems, as well as teachers' limited capacity to deliver applicable information technology materials. The program was implemented using the Experiential Learning approach through an initial needs survey, module development, theory sessions, hands-on prototyping of expert systems using open-source software (ES-Builder) with a computer hardware damage diagnosis case study, and mentoring. Evaluation was conducted through pre-test, post-test, project assessment, and satisfaction questionnaires involving 30 participants (25 students and 5 teachers). The results showed a significant increase in participants' average comprehension scores from 45.2 (pre-test) to 82.7 (post-test), with a gain score of 83%. Eighty percent of participant groups successfully built functional expert system prototypes, and 85% of grade XII students expressed interest in using the expert systems theme for their Competency Test (UKK) projects. The program also produced a reusable teaching module and enhanced teachers' capacity to integrate rule-based artificial intelligence materials into the curriculum. Thus, this program contributes to narrowing the technology competency gap between vocational school graduates and the needs of the business and industrial sectors (DUDI).
Co-Authors Abdullah Muhajir Ahmad Ahmad Ahmad Bram Purnomo Herwis Gultom Muhamad Santoso Muhammad Bahrein Muhammad Santoso