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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Technologia: Jurnal Ilmiah Journal of Computer Networks, Architecture and High Performance Computing Yayasan Cita Cendikiawan Al Khwarizmi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Hen Hen Lukmana
Universitas Siliwangi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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PERANCANGAN SISTEM INFORMASI DETEKSI DINI STUNTING BERBASIS WEBSITE MENGGUNAKAN METODE USER CENTER DESIGN Hen Hen Lukmana; Muhammad Al-Husaini; Irani Hoeronis; Luh Desi Puspareni
Technologia : Jurnal Ilmiah Vol 14, No 3 (2023): Technologia (Juli)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v14i3.12025

Abstract

Stunting merupakan masalah serius dalam pembangunan kesehatan di Indonesia. Stunting merujuk pada kondisi dimana pertumbuhan dan perkembangan anak terhambat karena faktor-faktor seperti kurang gizi, infeksi berulang, dan kurangnya stimulasi psikososial yang memadai. Stunting memiliki dampak besar terhadap kehidupan dan perkembangan anak, termasuk penurunan kemampuan kognitif, keterampilan motorik, dan daya tahan tubuh yang lemah. Deteksi dini stunting sangat penting untuk mencegah dampak jangka panjang yang merugikan. Pengembangan sistem informasi deteksi dini stunting dapat menjadi solusi efektif dalam mengurangi keterlambatan pendeteksian stunting pada anak. Dengan menerapkan metode UCD pengembang dapat memastikan bahwa sistem yang dikembangkan mudah digunakan dan dimengerti oleh pengguna, termasuk petugas kesehatan dan orang tua yang terlibat dalam pendeteksian stunting. Penelitian ini bertujuan untuk mengembangkan sistem informasi pendeteksi dini stunting menggunakan metode User Center Design di Kota Tasikmalaya. Pendekatan ini diharapkan dapat meningkatkan keterlibatan pengguna, memenuhi kebutuhan mereka, dan memungkinkan pengguna untuk memahami fungsi sistem hanya dengan satu kali penggunaan. Metode pengujian yang dilakukan yaitu usability testing dan blackbox testing untuk mengevaluasi kegunaan dan fungsionalitas sistem. Hasil pengujian menunjukkan bahwa sistem memenuhi persyaratan fungsional dan memiliki kegunaan yang baik.
Visualisasi Skyline Query untuk Distribusi Tenaga Kesehatan COVID-19 Vega Purwayoga; Muhammad Al Husaini; Hen Hen Lukmana
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 1 (2023): JuTISI (in progress)
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i1.5624

Abstract

The use of health workers in areas with minimal risk can be a solution to help areas with a high risk of spreading COVID-19. Selection of low risk areas can be done by measuring the level of risk in an area. One solution is to use the skyline query algorithm. Skyline query is able to recommend which areas are potential to serve as supporting areas for health workers. Skyline query is able to produce a recommendation model for determining the supporting area for health workers, however, in the process of reading the information, it is necessary to extract the information. Extraction is carried out by developing a system for visualizing the skyline query as a recommendation system for health personnel assistance. This study develops a visualization system using a hybrid approach, which combines the Rapid GIS Development Cycle (RGDC) and Navigational Development Techniques (NDT) methods. The system was developed using R and the shiny library, ggplot2, rpref and leaflets. The system can work as expected, such as displaying a map of the recommended area to become a supporting area, visualizing data with ggplots and visualizing dominance testing on the skyline query.
Sentiment Analysis on Short Social Media Texts Using DistilBERT Asyaky, Muhammad Sidik; Muhammad Al-Husaini; Hen Hen Lukmana
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 2 (2025): Research Article, Volume 7 Issue 2 April, 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i2.5836

Abstract

Sentiment analysis on short texts from social media, such as tweets, presents unique challenges due to their brevity and informal language. This study explores the effectiveness of transformer-based models, particularly DistilBERT, in performing sentiment analysis on short texts compared to traditional machine learning approaches including Support Vector Machine, Logistic Regression, and Naive Bayes. The objective is to assess whether DistilBERT not only enhances sentiment classification accuracy but also remains efficient enough for quick social media analysis. The models used in this study were trained and evaluated on stratified samples of 10,000, 30,000, and 50,000 tweets, drawn from the Sentiment140 dataset while preserving the original class distribution. The methodology involved data collection and sampling, data splitting, data cleaning, feature extraction, model training, and evaluation using accuracy and F1-score. Experimental results showed that DistilBERT consistently outperformed traditional models in both accuracy and F1-score, and demonstrated competitive results against BERT while requiring significantly less training time. Specifically, DistilBERT trained approximately 1.8 times faster than BERT on average, highlighting its computational efficiency. The best result was achieved by DistilBERT trained on the 50k subset, reaching an accuracy of 85% and an F1-score of 84%. These findings suggest that lightweight transformer models like DistilBERT are highly suitable for real-world sentiment analysis tasks where both speed and performance are critical.
Pengukuran Skala Prioritas Data Logistik Bencana dengan K-Means Cluster dan Skyline Query Vega Purwayoga; Hen Hen Lukmana; Winda Ayu Anggraini
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 6 No. 2 (2024): Desember 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.14067

Abstract

Analisis data logistik diperlukan untuk manajemen barang logistik secara efisin. Penelitian ini bertujuan untuk menerapakan algoritma clustering yaitu K-Means untuk mengelompokkan data logistik dengan memperhatikan aspek temporal. Penelitian ini tidak hanya mengelompokkan barang logistik, namun juga merekomendasikan waktu yang tempat untuk menyediakan barang. Data yang digunakan yaitu data barang logistik BPBD Kabupaten Purbalingga tahun 2020. Algoritma K-Means digunakan untuk mengelompokkan barang logistik pada setiap bulan yang berada terdapat pada tahun 2020. Rata-rata kualitas cluster yang dihasilkan K-Means setiap bulannya adalah 95.5 %. Tren setiap bulan hasil pengelompokkan K-Means dianalisis lebih lanjut untuk merekomendasikan waktu yang tepat untuk menambah stok barang logistik di BPBD.  Proses rekomendasi dibantu dengan algoritma skyline query dengan memanfaatkan suatu preferensi. Preferensi yang digunakan yaitu mencari bulan yang memiliki stok minimum, dan pengeluaran minimum. Bulan yang direkomendasikan untuk pengadaan barang yang termasuk ke dalam cluster C3 terdapat lima 5 bulan, sedangkan C2 sebanyak sepuluh bulan.
Improving the Performance of Posyandu Cadres with SIPPOS: Posyandu Service Information System in the Sangkali Tamansari Community Health Center Area Tasikmalaya City: Peningkatan Kinerja Kader Posyandu dengan SIPPOS: Sistem Informasi Pelayanan Posyandu di Wilayah Puskesmas Sangkali Tamansari Kota Tasikmalaya Heni Sulastri; Siti Yuliyanti; Neng Ika Kurniati; Muhammad Al-Husaini; Hen Hen Lukmana
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 10 No. 1 (2026): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v10i1.480

Abstract

Posyandu cadres have a strategic role in the promotion and prevention of public health services at the primary level. However, many cadres rely on manual recording systems that are less efficient. This community service focuses on training, mentoring, and monitoring the implementation of the system with the aim of improving the performance of Posyandu cadres through the implementation of SIPPOS (Posyandu Service Information System). SIPPOS is an information system to assist Posyandu cadres in managing health service data more quickly. Community service activities include SIPPOS socialization to cadres and health center officers, including training on system usage and technical assistance. Evaluation of the effectiveness of SIPPOS use in routine Posyandu activities, and program sustainability in order to expand the benefits of the community service reach. This community service is expected to significantly improve Posyandu cadres in mastery of information technology and the accuracy of service data recording.
Pelatihan Literasi Digital, Koding, dan Kecerdasan Artifisial untuk Peningkatan Kapasitas Sekolah di Wilayah Kabupaten Tasikmalaya R Reza El Akbar; Wiwin Herwina; Iman Handiman; Muhammad Al Husaini; Hen Hen Lukmana; Siti Pitrianti; Muhammad Sidik Asyaky
Dedikasi Sains dan Teknologi (DST) Vol. 5 No. 2 (2025): Artikel Pengabdian Nopember 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v5i2.7327

Abstract

Transformasi digital menuntut sekolah tanggap terhadap perubahan teknologi pembelajaran. Kegiatan pengabdian ini bertujuan meningkatkan literasi digital, kompetensi koding dasar, dan pemanfaatan kecerdasan artifisial (AI) bagi pendidik dan siswa di Kabupaten Tasikmalaya. Program mencakup asesmen kebutuhan, pelatihan literasi digital, pengenalan koding berbasis Scratch dan metode “unplugged”, serta pemanfaatan AI edukatif (mis. peringkasan, pembuatan bahan ajar, dan penilaian awal). Pendampingan lapangan dan project-based learning (PjBL) digunakan untuk memastikan adopsi di kelas. Luaran meliputi modul pelatihan, video tutorial, prototipe proyek ajar berbasis koding/AI, dan Rencana Tindak Lanjut (RTTL) tiap sekolah. Hasil awal menunjukkan peningkatan kepercayaan diri pendidik dalam mengintegrasikan teknologi, tersusunnya perangkat ajar digital, serta terbentuknya tim inovasi sekolah. Kegiatan ini menegaskan bahwa pendekatan bertahap, adaptif, dan berbasis proyek efektif mendorong adopsi teknologi pada satuan pendidikan dengan keterbatasan fasilitas.
Perancangan UI/UX Aplikasi Mobile untuk Pencegah Stunting pada Anak di Indonesia Menggunakan Metode Design Thinking Hen Hen Lukmana; Muhamad Al-Husaini
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp187-198

Abstract

Stunting, a chronic nutritional problem in Indonesia with a prevalence rate of 24.4% among under-fives, is caused by chronic malnutrition and recurrent infections that hinder child growth. Lack of awareness about nutrition and prevention exacerbates the issue. Digital solutions can play a key role in addressing this problem by enabling online health and nutrition monitoring. This research focuses on designing a UI/UX mobile application to aid parents in monitoring and educating about stunting. The Design Thinking approach, involving stages such as Empathize, Define, Ideate, Prototype, and Test, was used to develop the application. The resulting UI/UX design achieved good user experience, with an average System Usability Scale (SUS) score of 75.375, categorizing it as grade B. The application includes educational, early detection, and consultation features to support parents, health workers, and policymakers in combating stunting in Indonesia.
Pengembangan Sistem Informasi Klasifikasi Kesesuaian Kandungan Gizi Menu Terintegrasi dengan Modul Artificial Neural Network Hen Hen Lukmana; Muhammad Alhusaini; Luh Desi Puspareni
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 2 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No2.pp933-946

Abstract

Evaluating the nutritional adequacy of meal menus in nutrition fulfillment programs is generally performed manually, which is time-consuming, requires precision, and is prone to recording errors. This study aims to develop an integrated information system for classifying the nutritional adequacy of meal menus with an Artificial Neural Network (ANN)-based classification module. The system unifies menu data management, automatic nutrient computation, adequacy classification, and analysis history storage within a single platform. The ANN module was trained on a reproducibly generated controlled synthetic dataset of 4,500 samples with three balanced classes (Insufficient, Adequate, and Excessive) and ten nutrient adequacy percentage features. Testing covered model performance using accuracy, precision, recall, F1-score, balanced accuracy, and the confusion matrix; functional black-box testing; and usability testing with the System Usability Scale (SUS). The classification module achieved a test accuracy of 98.81%, a macro F1-score of 98.81%, and a balanced accuracy of 98.81%; all black-box scenarios were valid (100%), and the mean SUS score was 88.50 (grade A+). These results show that the system can automate nutritional adequacy evaluation consistently and in a documented manner. The main contribution lies in integrating menu data management, nutrient computation, and automatic classification within one system, rather than in proposing a new classification method.
Penerapan Transfer Learning dan Explainable AI untuk Pengenalan Tokoh Wayang Berbasis Web Muhammad Al-Husaini; Hen Hen Lukmana; Muhammad Sidik Asyaky; Ichsan Fauzi Rachman
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 2 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No2.pp983-990

Abstract

Recognizing wayang characters remains difficult because many classes share similar visual traits, capture conditions vary, and labeled data is scarce. This study develops a web-based wayang character recognition system that combines transfer learning with visual explanation for classroom use. Two lightweight backbones, EfficientNetV2-S and DeiT-Tiny, were fine-tuned on ten characters using horizontal flipping, RandAugment, and TrivialAugment, then evaluated through five-fold stratified cross-validation. Performance was measured using accuracy, macro-F1, and the Matthews Correlation Coefficient. EfficientNetV2-S reached a mean accuracy of 86.8%, a macro-F1 of 0.87, and an MCC of 0.85, slightly above DeiT-Tiny at 86.0%, 0.86, and 0.83. Confusion analysis identified recurring errors between visually similar pairs such as Nakula-Sadewa and Gareng-Petruk. Grad-CAM overlays were integrated into a Streamlit interface so that every prediction carries visual evidence that non-experts can inspect. Median inference latency on a mid-range CPU was 28 ms for EfficientNetV2-S and 32 ms for DeiT-Tiny, fast enough for interactive use. The system shows that accuracy, speed, and interpretability can be balanced within the constraints of cultural heritage datasets.
Peningkatan Kualitas Layanan Posyandu melalui Penerapan Teknologi Pengolahan Citra untuk Pemantauan Pertumbuhan Anak di UPTD Puskesmas Sangkali Siti Pitrianti; Iseu Siti Aisyah; Muhammad Al-Husaini; Hen Hen Lukmana; Luh Desi Puspareni Pitrianti; Muhammad Sidik Asyaky Pitrianti
Dedikasi Sains dan Teknologi (DST) Vol. 6 No. 2 (2026): Artikel Pengabdian Nopember 2026
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v6i2.9420

Abstract

Pemantauan pertumbuhan balita di Posyandu sangat bergantung pada akurasi pengukuran tinggi badan, namun proses pengukuran manual menggunakan microtoise masih rentan menghasilkan variasi hasil antar-kader. Pengukuran awal terhadap 15 balita yang melibatkan enam kader di Posyandu Selaawi, wilayah kerja UPTD Puskesmas Sangkali, Kota Tasikmalaya, menunjukkan rata-rata deviasi hasil ukur 1,84 cm dengan deviasi tertinggi mencapai 3,40 cm. Kegiatan pengabdian ini bertujuan meningkatkan kualitas layanan pengukuran tinggi badan anak melalui penerapan aplikasi web CompViT berbasis pengolahan citra (Computer Vision) secara nirsentuh, sekaligus meningkatkan kapasitas kader dalam pemanfaatan teknologi digital untuk pelayanan kesehatan dasar. Kegiatan dilaksanakan melalui lima tahapan, yaitu sosialisasi program, pelatihan penggunaan aplikasi, penerapan teknologi pada layanan Posyandu, pendampingan dan evaluasi, serta penguatan keberlanjutan program. Hasil kegiatan menunjukkan bahwa penerapan aplikasi mempermudah dan mempercepat proses pengukuran serta meningkatkan konsistensi pencatatan data; pengetahuan dan keterampilan kader meningkat dengan minimal 87,5% peserta mencapai kategori baik; serta terbentuk kader inti sebagai penggerak keberlanjutan. Kegiatan ini menyimpulkan bahwa penerapan teknologi tepat guna berbasis pengolahan citra dapat menjadi solusi praktis untuk meningkatkan mutu layanan Posyandu dan mendukung deteksi dini stunting di tingkat komunitas. Kata Kunci: Posyandu; Pertumbuhan Anak; Pengolahan Citra; Computer Vision; Literasi Digital; Deteksi Stunting
Co-Authors Asyaky, Muhammad Sidik Heni Sulastri Ichsan Fauzi Rachman Iman Handiman Irani Hoeronis Iseu Siti Aisyah Luh Desi Puspareni Pitrianti Muhammad Al Husaini Muhammad Al-Husaini Muhammad Alhusaini Muhammad Sidik Asyaky Muhammad Sidik Asyaky Pitrianti Neng Ika Kurniati Purwayoga, Vega Puspareni, Luh Desi R Reza El Akbar Siti Pitrianti Siti Yuliyanti Winda Ayu Anggraini Wiwin Herwina