Article Per Year (5 Year)
p-Index From 2021 - 2026
2.198
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Informatika dan Teknik Elektro Terapan INFORMAL: Informatics Journal Jurnal Online Program Studi Pendidikan Ekonomi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Mnemonic Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS G-Tech : Jurnal Teknologi Terapan Community Empowerment Mekongga: Jurnal Pengabdian Masyarakat Media of Computer Science Jurnal Pusat Kolaborasi Pengabdian Kepada Masyarakat
Rahmat Karim
Universitas Sembilanbelas November Kolaka
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
Expert System for Determining Diseases and Pests in Seaweed Using Forward Chaining (Case Study : Watorumbe Village, Mawasangka Tengah) Asriani, Ika; Muchtar, Mutmainnah; Ismail, Rima Ruktiari; Paliling, Alders; Sya'ban, Kharis; Karim, Rahmat
Media of Computer Science Vol. 1 No. 1 (2024): June 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i1.175

Abstract

Seaweed is a marine organism that plays a crucial role in both ecosystem and economy. However, it often faces attacks from diseases and pests that can jeopardize the productivity and sustainability of the seaweed industry. Hence, the development of an expert system to diagnose seaweed diseases and pests becomes imperative. This research aims to develop an Expert System for Determining Diseases and Pests in Seaweed using the Forward Chaining method, with a case study conducted in the Watorumbe Village, Mawasangka Tengah Sub-district, Southeast Sulawesi. The Forward Chaining method is employed to identify symptoms appearing in seaweed and determine potential diseases or pests. Testing is carried out with 30 data samples compared against expert diagnoses, resulting in an accuracy rate of 90%. Therefore, this system has the potential to assist seaweed farmers in diagnosing diseases and pests more quickly and accurately, thereby enhancing the productivity and sustainability of seaweed cultivation efforts.
KLASIFIKASI JENIS KAIN TENUN BUTON DENGAN METODE K-NN BERDASARKAN FITUR WARNA RGB DAN HSV SERTA EKSTRAKSI TEKSTUR DENGAN GLCM Sabi, Musini; Muchtar, Mutmainnah; Sya'ban, Kharis; Paliling, Alders; Miftachurohmah, Nisa; Karim, Rahmat
Jurnal Mnemonic Vol 8 No 1 (2025): Mnemonic Vol. 8 No. 1
Publisher : Teknik Informatika, Institut Teknologi Nasional malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/mnemonic.v8i1.13220

Abstract

Kain tenun Buton – Sulawesi Tenggara merupakan bentuk kreativitas tradisional masyarakat Buton dengan berbagai motif dan makna tersendiri. Namun, banyaknya jenis kain tenun Buton membuat tidak semua orang, termasuk masyarakat Buton, dapat mengenali jenisnya. Penelitian ini mengklasifikasikan citra kain tenun Buton menggunakan metode k-nearest neighbor (K-NN) dengan fitur warna RGB, HSV, dan GLCM. Dari hasil pengunjian yang telah dilakukan dengan menggunakan 150 citra uji, hasil cropping 2 loba yang terbagi ke dalam 10 kelas berbeda memperoleh nilai akurasi tertinggi yaitu 96% ketika menggunakan fitur RGB, 93,33% ketika menggunakan fitur HSV dan 88% ketika menggunakan fitur GLCM, pada masing-masing nilai k = 1 dan 2. Selain itu, pengujian juga dilakukan untuk 20 citra hasil cropping 4 loba dan memperoleh nilai akurasi tertinggi sebesar 95% ketika menggunakan fitur RGB pada nilai k = 1 dan 2, serta 100% ketika menggunakan fitur HSV pada nilai k = 3 dan 5. Akurasi yang cukup rendah yaitu sebesar 25% didapatkan ketika menggunakan fitur GLCM pada nilai k =1 sampai 5. Hasil ini menunjukkan bahwa metode K-NN dengan fitur warna RGB dan HSV memberikan akurasi tinggi dalam klasifikasi kain tenun Buton, sehingga dapat menjadi solusi efektif untuk identifikasi jenis kain secara otomatis
Pelatihan Penggunaan Aplikasi Penjualan Berbasis Barcode Pada Apotek Alwina II Kota Baubau Sarimuddin; Mutmainnah Muchtar; Rima Ruktiari Ismail; Muliyadi; Rahmat Karim; Kharis Sya’ban; Sunyanti; Hamid Wijaya; Muh. Na’im Al Jum’ah; Dirman
PUSAKA ABDIMAS Vol. 1 No. 1 (2024)
Publisher : Yayasan Serumpun Karang Konservasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61548/pa.v1i1.32

Abstract

Dalam era digital, penggunaan aplikasi penjualan menjadi sangat penting bagi apotek untuk meningkatkan efisiensi dan akurasi dalam proses administrasi penjualan serta manajemen persediaan. Kegiatan pengabdian ini bertujuan untuk meningkatkan efisiensi administrasi penjualan di Apotek Alwina Farma 2 Kota Bau-Bau melalui pelatihan penggunaan aplikasi penjualan berbasis barcode. Tim Pengabdian kepada Masyarakat (PkM) dari Universitas Sembilanbelas November (USN) Kampus B Buton Tengah mengembangkan aplikasi ini dan memberikan pelatihan intensif kepada para pegawai apotek. Evaluasi kegiatan dilakukan menggunakan lima item pertanyaan untuk mengukur pemahaman dan kemampuan operasional peserta terhadap aplikasi yang telah dikembangkan. Hasil evaluasi menunjukkan bahwa secara keseluruhan, para peserta mampu memahami dan mengoperasikan aplikasi penjualan berbasis barcode dengan baik. Pelatihan yang diberikan terbukti efektif dalam meningkatkan efisiensi proses administrasi penjualan di apotek, khususnya di Apotek Alwina Farma 2 Kota Bau-Bau. Diharapkan dengan adanya aplikasi ini, berbagai apotek lainnya juga dapat menerapkan teknologi serupa untuk meningkatkan efisiensi dan akurasi dalam proses penjualan dan manajemen persediaan.
PERANCANGAN SMART TRASH BIN MENGGUNAKAN LOGIKA FUZZY BERBASIS ARDUINO DI SDN 5 MAWASANGKA, BUTON TENGAH Nurjannah, Nurjannah; Muchtar, Mutmainnah; Sarimuddin, Sarimuddin; Sya'ban, Kharis; Karim, Rahmat; Al Jum'ah, Muhammad Na'im
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4358

Abstract

Smart Trash Bin is a technological innovation that integrates sensors and automation systems to enhance waste management efficiency. This study aims to design and implement a Smart Trash Bin using fuzzy logic based on Arduino at SDN 5 Mawasangka, Buton Tengah. In this research, the system utilizes ultrasonic sensors to detect the trash level inside the bin, servo motors to control the automatic lid of the trash bin, and DFPlayer Mini along with a speaker to provide audio notifications to users. Fuzzy logic method is employed to regulate the system's decisions in managing the trash bin operations based on environmental conditions. The study involves the stages of design, fabrication, and system testing in the elementary school environment. The test results indicate that the designed Smart Trash Bin can effectively manage waste with adequate accuracy. It is expected that the implementation of this Smart Trash Bin can help raise awareness of environmental cleanliness within the school and surrounding community
Enhancing Students' Learning Interest Through the Implementation of the Kampus Mengajar Batch 8 Program: Classroom Arrangement Refi; Indriyani; Karim, Rahmat
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2024): November 2024
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v1i2.197

Abstract

Currently, with the allocation of school funds from the government, access to improving school quality has become an interesting topic to discuss. Both in terms of knowledge and school environmental management. As with most schools in general, the majority of school funds are used for physical development, such as an attractive classroom arrangement program. The class 8 teaching campus located in Banu-Banua Jaya village will organize classroom arrangements. The expected impact after this activity is the creation of a comfortable and attractive classroom. Based on the results of the activities that have been carried out, it can be concluded that the guidance material for developing literacy and numeracy-based classroom models for elementary schools is declared valid with a score of 90.6%, although there are deficiencies in the explanation of implementation procedures. Revisions based on expert literature input have been carried out, and validation results from spatial planning experts, school principals, and field trials show excellent feasibility with the highest score of 97.2%. Class 8 Teaching Campus Program activities, collaboration between teaching campus students. 8 and the principal of SD 1 Banu-Banua Jaya have run well and are able to provide comfort when studying and increase students' interest in learning with a pleasant classroom atmosphere.
Co-Authors -, Muliyadi Ahmad Ashari Al Jum'ah, Muhammad Na'im alders paliling Ansar Anwar Arif Prasetya Asriani, Ika Dirman Elvi Khudriah Endi Ardianto Firman syah Hamid Wijaya Hariono Hariono Hasidu, La Ode Abdul Fajar Indar Ismail Jamaluddin Indra Ardiansyah Indriyani Ismail, Rima Ruktiari Jayanti Yusmah Sari Jayawarsa, A.A. Ketut Kuntjoro Adji Sidarto La Ode Hasnuddin S. Sagala La Ode Safaruddin Miftachurohmah, Nisa Muh. Na’im Al Jum’ah Muhammad Syaiful Muliyadi Muliyadi Muliyadi Mutmainnah Muchtar Nur Fajriah Muchlis Nur Fajriah Muchlis, Nur Fajriah Nurjannah Nurjannah Phradiansah ., Phradiansah Qammaddin Qammaddin Refi Rima Ruktiari Rizal Adi Saputra Sabi, Musini Salim Salim Sarimuddin, Sarimuddin Suharsono Bantun Sunyanti Sya'ban, Kharis Syaban, Kharis Yuwanda Purnamasari Pasrun