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All Journal JIKO (Jurnal Informatika dan Komputer) ILKOM Jurnal Ilmiah Global Conference Index Cyber Security dan Forensik Digital (CSFD) Vox Populi Bubungan Tinggi: Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Data and Science Jurnal PkM (Pengabdian kepada Masyarakat) Idea Pengabdian Masyarakat Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat Journal of Natural Science and Technology Adpertisi: Bidang Sains dan Teknologi Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia
Ihwana As’ad
Teknik Informatika, Fakultas Ilmu Komputer, Universitas Muslim Indonesia Makassar, Indonesia
Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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IMPLEMENTASI AUGMENTED REALITY (AR) UNTUK DESAIN INTERIOR RUMAH DI LEMBANG MARINDING Irawati Irawati; Ihwana As'ad as'ad; Abdul Rachman Manga Rachman Manga; Andi Anugrah Aqsa
Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia. Vol 2, No 1 (2023): Maret 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jpm.v2i1.762

Abstract

Desain Interior merupakan sebuah ilmu yang mempelajari perencanaan tata letak dan perancangan ruang dalam di dalam sebuah bangunan. Tujuan dari perancangan interior bukan cuma memaksimalkan fungsi ruangan tapi juga membuat penghuninya betah karena unsur estetika dan meningkatkan psikologi ruang interior. Walau begitu dalam menata sebuah ruangan membutuhkan pengaturan berulang-ulang sehingga cukup menguras waktu dan tenaga. Pengabdian ini bertujuan untuk mengimplementasikan sebuah aplikasi Augmented Reality secara real-time berbasis android sehingga dapat memudahkan masyarakat untuk mendesain interior ruangan dengan lebih efektif tanpa harus mengalami kesulitan dalam mengatur perabotan secara manual. Dengan mengimplementasikan metode Markeless Augmented Reality dan metode Plane Detection pada aplikasi yang membantu masyarakat dalam mendesain sebuah ruangan.Hasil dari pengabdian ini yaitu masyarakat menjadi terampil dalam menjalankan Implementasi Augmented Reality (AR) untuk Desain Interior Rumah di Desa Marinding hanya dengan  menentukan posisi dan letak objek 3D sesuai keinginan dan dapat melihatnya secara langsung dari layar perangkat mobile mereka , serta  menghasilkan Software Implementasi Augmented Reality (AR) untuk Desain Interior Rumah di Desa Marinding.
Pemberdayaan Ibu Rumah Tangga Melalui Pelatihan Pembuatan Tas Talikur Ihwana As'ad; Hermin Andi Magga; Louise Elizabeth Radjawane; Sri Ndaru Arthawati; Sa'diyah El Adawiyah
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 5, No 1 (2023)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v5i1.7620

Abstract

Pengabdian kepada Masyarakat (PKM) diselenggarakan di kantor Desa ma’rumpa, Kecamatan Marusu, Kabupaten Maros, dengan mitra pengabdian adalah kelompok ibu-ibu PKK yang berlangsung selama dua hari yaitu pada tanggal 16 dan 17 November 2022. Kegiatan ini bertujuan untuk memberikan keterampilan dengan materi cara membuat tas tali kur dan cara pemasarannya.  Metode ceramah dan praktik langsung oleh peserta membuat efektif dari pelaksanaan pelatihan ini. Hasil dari pengabdian ini adalah peserta yang berjumlah 20 orang mampu membuat tas tali kur dengan motif dasar yang telah diajarkan oleh tim pengabdian. Di hari pertama peserta belajar tentang dasar menyimpul dilanjutkan dengan membuat tas, kemudian di hari kedua dilakukan finishing dengan menambah lapisan serta penutup tas, dan terakhir pemberian materi cara menjual secara online.The community service was held at the Ma'rumpa Village office, Marusu District, Maros Regency, with the dedication partner being a group of PKK mothers which lasted for two days, on 16 and 17 November 2022. This activity aims to provide skills with materials for making and marketing tali kur bags. The participants' lecture method and hands-on practice made implementing this training effective. The result of this dedication was that 20 participants could make tali kur bags with the basic motifs that the service team had taught. On the first day, participants learn about the basics of knotting, followed by making bags, then on the second day finishing by adding layers and bag covers and finally providing material on how to sell online.
Pengolahan Kompos Sistem Bokashi dari Sampah Organik Limbah Dapur sebagai Upaya Peningkatan Kesehatan Masyarakat Mohammad Imam Sufiyanto; Ihwana As’ad; Euis Amalia; Mulono Aprianto; Wuri Ratna Hidayani
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 5, No 1 (2023)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v5i1.7617

Abstract

Permasalahan serius di desa Bunder adalah belum terbentuknya pengolahan sampah organik. Pengabdian kepada Masyarakat (PkM) ini memiliki tujuan untuk mengatasi pengolahan sampah yang ditimbulkan oleh banyaknya sampah organik yang dibuang setiap harinya. Metode demonstrasi digunakan dalam pengolahan sampah organik menjadi kompos. Waktu pelaksanaan adalah 14 Juni-9 Juli 2021. Sasaran kegiatan ini ialah  masyarakat sekitar desa Bunder. Melalui kegiatan ini didapatkan beberapa kendala yang menghambat proses pengomposan, adanya belatung serta bau dari kompos yang dihasilkan namun menjelang pada minggu ke tiga bau dan belatung mulai hilang seiring terbentuknya kompos siap pakai. Kegiatan pengabdian berupa pengolahan dari sampah organik menjadi pupuk kompos yang telah dilakukan bisa menjadi satu pemecahan masalah dalam mengurangi sampah di lingkugan lingkup terkecil yaitu rumah. Oleh karena itu diperoleh simpulan bahwa pengolahan kompos menggunakan bokashi efektif dalam mengurai sampah organik sehingga akan mengurangi jumlah sampah organik di setiap rumah yang ada di Desa Bunder.A serious problem in Bunder village is that organic waste processing has not yet been established. This Community Service aims to overcome the processing of waste caused by the large amount of organic waste disposed of every day. The demonstration method is used in processing organic waste into compost. The implementation time is June 14-July 9, 2021. The target of this activity is the community around Bunder village. Through this activity, several obstacles were found that hindered the composting process, the presence of maggots and the smell of the compost produced but towards the third week, the smell and maggots began to disappear as ready-to-use compost was formed. Community service activities in the form of processing organic waste into compost that has been carried out can solve the problem of reducing waste in the smallest environment, namely the house. Therefore, it is concluded that composting using bokashi effectively breaks down organic waste to reduce the amount of organic waste in every house in Bunder Village. 
BACKWARD CHAINING METHOD UNTUK DIAGNOSA PENYAKIT BINTIK MERAH PADA KULIT BAYI MENGGUNAKAN APLIKASI BERBASIS WEB Lilis Nur Hayati; Yulita Salim; Hasriwiani Habo Abbas; Rezky Anugrah; Herawati Herawati; Ihwana As'ad; Muflih Awaluddin
JURNAL INFORMATIKA DAN KOMPUTER Vol 7, No 2 (2023): SEPTEMBER 2023
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v7i2.788

Abstract

Weak immunity or the baby's immune system makes it very susceptible to bacteria, germs and disease. Babies have difficulty explaining their complaints, therefore parents are expected to catch every body language from their child. In general, if a child has health problems, parents will check with a health service provider and consult with health workers who are experts in their field, but sometimes there are obstacles such as limited working hours (practice). So in this study a tool was created in the form of a website-based expert system to diagnose red spots in babies using the Backward Chaining method. The Backward Chaining method searches with the goal first followed by a description of the attributes in this case, namely the disease first and then adjusted to the existing symptoms. The system uses the waterfall method, The results of this study show that an expert system can properly diagnose red spots on the baby's skin to help parents identify and find appropriate treatment solutions. Testing this system can be understood and implemented with the value of application users obtaining an assessment of 81% agreeing according to baby's parents, nurses and dermatologists.
K-Nearest Neighbors Analysis for Public Sentiment towards Implementation of Booster Vaccines in Indonesia Ihwana As'ad; Muhammad Arfah Asis; Hariani Ma'tang Pakka; Randi Mursalim; Yusnita binti Muhamad Noor
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1561.365-372

Abstract

In order to prevent the spread of COVID-19 in Indonesia, the Government of the Republic of Indonesia has been implementing a booster vaccine program since January 12th, 2022, with priority for the elderly and vulnerable groups as well as those who got the second C-19 vaccine longer than 6 months. The implementation of this program raised many pros and cons among public which were expressed either positively or negatively through social media. Therefore, sentiment analysis is needed to examine these phenomenons. This study aims to determine the positive and negative response from public by employing K-Nearest Neighbor method. A total of 2,000 commentary data were collected to be in turn classified based on positive and negative sentiments. There are 500 comments used as training data and divided equally to positive and negative class, each consists of 250 data. Using the value of K = 9, the results show a positive sentiment of 43% while a negative sentiment of 57%. Based on the validity test using 10-fold cross validation, an accuracy of 82.60% was obtained, a recall value was 82.60% with a precision of 83.89%.
PEMANFAATAN LIMBAH SABUK KELAPA MENJADI PRODUK BERDAYA SAING EKSPOR PADA KELOMPOK TANI COCOHERLANG BULUKUMBA Ihwana As’ad; Jabal Rahmat Ashar; Ratna Dewi
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 4 (2023): Volume 4 Nomor 4 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i4.19835

Abstract

Serabut kelapa sebagai limbah organik akan terurai secara alami, namun proses penguraiannya tidak secepat limbah organik lain seperti sisa sayur dan buah. Sabut kelapa dapat dikembangkan menjadi beragam produk antara lain cocopeat dan cocofiber. Hasil identifikasi oleh tim pengabdian menemukan bahwa masyarakat yang tergabung dalam kelompok tani masih minim pengetahuan mengenai cara pemanfaatan dan pengolahan sabut kelapa menjadi produk cocofiber dan cocopeat. Produk cocofiber merupakan bahan baku industri matras, spring bed, jok mobil, karpet dan tali. Sedangkan produk cocopeat digunakan sebagai media tanam pengganti tanah dan pupuk. Pemasaran tidak hanya secara lokal bahkan pemasaran dapat dilakukan ke luar negeri (ekspor). Peluang bagi mitra dapat melakukan kegiatan tersebut. Seiring dengan uraian tersebut Program Pengabdian kepada Masyarakat ingin mengembangkan pengolahan sabut kelapa di Desa Borong Kecamatan Herlang Kab. Bulukumba. Berdasarkan analisis situasi ketidakberdayaan masyarakat untuk mengolah limbah sabut kelapa menjadi produk yang bernilai ekonomi. Apabila program ini dapat berlangsung maka mitra merasakan berbagai dampak salah satu faktor yaitu faktor pengetahuan dan keterampilan serta faktor penguasaan teknologi. Hal ini tentunya akan berdampak luas secara ekonomi bagi kelompok tani dan masyarakat sekitar, baik secara sosial mengalami peningkatan produksi dan tentunya akan meningkatkan perekonomian mitra dan masyarakat sekitar. Luaran yang diharapkan ialah artikel dan publikasi jurnal, alat pengurai sabut kelapa serta website.
A Comperative Study on Efficacy of CNN VGG-16, DenseNet121, ResNet50V2, And EfficientNetB0 in Toraja Carving Classification Herman; An'nisa Pratama Putri; Megat Norulazmi Megat Mohamed Noor; Herdianti Darwis; Lilis Nur Hayati; Irawati; Ihwana As’ad
Indonesian Journal of Data and Science Vol. 6 No. 1 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i1.220

Abstract

Introduction: Passura', or Toraja carvings, are an essential element of the cultural heritage of the Toraja people in Indonesia. These carvings feature complex motifs rooted in nature, folklore, and spiritual symbolism. This study aims to evaluate the efficacy of four Convolutional Neural Network (CNN) architectures—VGG-16, DenseNet121, ResNet50V2, and EfficientNetB0—in classifying seven traditional Toraja carving motifs. Methods: A dataset of 700 images was collected and categorized into seven motif classes. The dataset was split into 80% for training and 20% for validation. Each CNN model was trained for 25 epochs with standard pre-processing, including resizing to 224×224 and normalization. Performance evaluation was conducted based on validation accuracy and confusion matrix analysis to assess classification precision and model overfitting. Results: EfficientNetB0 achieved the highest validation accuracy of 98%, although signs of overfitting were observed. ResNet50V2 followed closely with a validation accuracy of 95.33% and demonstrated the most balanced classification results across all motif categories. VGG-16 and DenseNet121 achieved 94.67% and 81.82%, respectively. Confusion matrix analysis confirmed the robustness of ResNet50V2 in correctly identifying complex patterns. Conclusions: The findings indicate that ResNet50V2 provides a reliable balance between accuracy and generalizability for classifying Toraja carvings, making it suitable for digital preservation of cultural heritage. EfficientNetB0, while achieving higher accuracy, may require additional regularization to avoid overfitting. This study contributes to the development of AI-driven cultural documentation and suggests future research with larger and more diverse datasets to improve model robustness
Co-Authors Abdul Qahar Zainal Abdul Rachman Manga Rachman Manga Adawiyah, Sa'diyah El Agus, Al Ihksan Ahmad Jihad An'nisa Pratama Putri Andi Anugrah Aqsa Apriyanto, Mulono Dolly Indra Erick Irawadi Alwi Euis Amalia Fitriani Fitriani Gusti Hardyanti Musda Haeril Amir Haeril Amir Hariani M. Pakka Herawati Herawati Herdianti Darwis Herman Herman Herman Hermin Andi Magga Irawati Irawati Irawati Jabal Rahma Ashar Jabal Rahmat Ashar Lilis Nur Hayati Megat Norulazmi Megat Mohamed Noor Muflih Awaluddin Muh. Nur Fithri,T Muhammad Adam - Muhammad Arfah Asis Muhammad Fachri Hafid Muhammad Irfan Maulana Bima Muhammad Saleh Tajuddin Nia Kurniati Novi Yanti Sangaji Radjawane, Louise Elizabeth Randi Mursalim Ratna Dewi Rezky Anugrah Siska Anraeni Sri Ndaru Arthawati Sufiyanto, Mohammad Imam Wuri Ratna Hidayani Yulita Salim Yusnita binti Muhamad Noor Yusrina Mukhlis