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All Journal International Journal of Integrated Health Sciences Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Berkala Kedokteran Jiko (Jurnal Informatika dan komputer) EDUMATIC: Jurnal Pendidikan Informatika JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JUKI : Jurnal Komputer dan Informatika Djtechno: Jurnal Teknologi Informasi International Journal Software Engineering and Computer Science (IJSECS) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Neuroanestesi Indonesia Jurnal Abdi Rakyat
Agus Suhendar, Agus
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Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Public Health Social Sciences Other

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Perancangan Aplikasi Pendataan Karyawan Berbasis Mobile pada Perusahaan Mebel Hidayatulloh, Dimas Aziz; Suhendar, Agus
JUKI : Jurnal Komputer dan Informatika Vol. 5 No. 2 (2023): JUKI : Jurnal Komputer dan Informatika, Edisi Nopember 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53842/juki.v5i2.410

Abstract

PT Amalia Surya Chemerlan berlokasi di Desa Ngaran, Mlese, Kecamatan Ceper, Kabupaten Klaten, Jawa Tengah. Tepatnya di Jl. Klaten - Solo No.3, PT Amalia Surya Cemerlang merupakan perusahaan furniture yang berdiri 20 tahun lalu. Perusahaan furnitur ini menjual produk jadi dan menghasilkan produk setengah jadi yang kemudian didaur ulang menjadi produk yang dapat dipasarkan. Produk yang dijual bermacam-macam jenisnya antara lain kursi, meja, lemari, tempat tidur, tangga, mangkok, gantungan baju, dll. PT Amalia Surya Cemerlang masih menggunakan sistem manual sehingga menyebabkan kendala dalam pengambilan data pegawai yang tidak akurat. Oleh karena itu, diperlukan adanya “Aplikasi Mobile Pendataan Karyawan Pada Perusahaan Furniture”. Aplikasi ini dibangun menggunakan Android Studio, Kotlin, dan Firebase. Fungsionalitas aplikasi ini menampilkan berbagai informasi profil, detail karyawan, detail pekerjaan, dan detail kehadiran. Dengan dibuatnya “Aplikasi Mobile Pendataan Karyawan Pada Perusahaan Furniture” bertujuan untuk membuat proses pendataan dan pengolahan data menjadi lebih baik, efisien dan terorganisir.
Penerapan Model Waterfall pada Sistem Manajemen Jasa Tenaga Kerja Bangunan Berbasis Android As'ari, Abdul Haris; Suhendar, Agus
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4549

Abstract

The purpose of this research is to develop a system that can assist the community, especially in the Pemalang region, in facilitating the management of construction workforce services and reducing unemployment in the surrounding areas. The specific focus of this study will be on the community in the Pemalang region. Currently, in Pemalang, the majority of the population still seeks construction labor services through manual methods, such as visiting service providers at their residences to offer jobs. Most people rely solely on personal connections. Consequently, if a service provider is already engaged in another project, customers may struggle to find an alternative. Meanwhile, there are many unemployed service providers outside the community seeking job opportunities. Additionally, some individuals feel that the wages for these workers are either insufficient or too high, necessitating negotiations for mutually agreed-upon compensation. The proposed construction workforce management system aims to create an application that assists the community in searching for services, negotiating terms, and estimating incurred expenses. For service searches, the system will enable users to search based on skills and location, allowing customers to find service providers according to the required expertise and in nearby areas to minimize transportation costs. Negotiations can be conducted remotely to determine prices and required departure times. Customers can also calculate costs to estimate their future expenditures. Service providers can upload their services for visibility, facilitating job acquisition and ultimately reducing unemployment.
IMPLEMENTATION OF MSME CREDIT LOAN DETERMINATION USING MACHINE LEARNING TECHNOLOGY WITH KNN (K-NEAREST NEIGHBORS) ALGORITHM Nawawi, Muchamad Taufik; Suhendar, Agus
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 3 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i3.9064

Abstract

This research aims to develop a loan eligibility prediction model for Micro, Small, and Medium Enterprises (MSMEs) using the K-Nearest Neighbors (KNN) algorithm. The dataset utilized includes variables such as the length of business operation, number of workers, assets, and net turnover of MSMEs. The data is split into training and test sets with a 70:30 ratio. The KNN model is trained using the training data to classify loan eligibility based on a specified k value. The model predictions include whether a loan is accepted and the probability associated with each decision. The results indicate that the KNN model achieved an accuracy rate of 83.939% in predicting loan eligibility. Based on the predictions, 929 MSMEs were deemed eligible to receive loans according to the KNN model recommendations, while 170 MSMEs were classified as ineligible. These findings contribute significantly to the development of decision support systems in the banking and finance sectors, particularly in evaluating MSME loan eligibility.
Removal Technique of Penetrating Nail in Head: A Case Report Suhendar, Agus; Effendy, Effendy
International Journal of Integrated Health Sciences Vol 11, No 1 (2023)
Publisher : Faculty of Medicine Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15850/ijihs.v11n1.3150

Abstract

Objective: To present a unique case involving a 44-year-old man who sustained a penetrating head injury after nailing his head with a hammer. Despite the severity of his injury, the patient underwent successful surgical treatment and experienced a good recovery.Methods: Clinical and imagery review  was performed on a cranial puncture trauma caused by a metal nail, which penetrated the cranium, dura mater, right parietal cerebral parenchyma, and right ventricle. The nail was lodging next to midline without damaging the superior sagittal sinus. The patient underwent craniotomy nail removal and debridement with normal saline and metronidazole antibiotics.Results: Craniotomy, careful nail extraction, wound debridement, and duraplasty remain the treatment standard for penetrating nail injury in the head. Patient in this case study did not exhibit any signs of neurologic deficit or infection.Conclusion: Proper diagnosis and treatment are required in patients with penetrating brain trauma, with head x-rays and CT scans help in evaluating vascular depth and damage. Craniotomy and debridement are the main treatments for this type of trauma.
Pemanfaatan Teknologi Artificial Intelligence (AI) Untuk Mendukung Kualitas Pendidikan di SMA Negeri 1 Kalibawang Retnowo, Murti; Suhendar, Agus; Sutarman; Ardiani, Farida
Jurnal ABDI RAKYAT Vol. 1 No. 2 (2024): JURNAL ABDI RAKYAT
Publisher : Universitas Teknologi Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/jar.v1i2.436

Abstract

Artificial intelligence technology offers various benefits for teaching staff, which can improve the quality of teaching and the efficiency of the educational process. Artificial intelligence technology makes it very easy for teachers to prepare materials, learning methods and case studies that are relevant to the subjects taught by the teacher. An obstacle that often occurs and is faced by teachers is when teachers prepare material and deliver material using artificial intelligence (AI) technology, so it is felt necessary to hold training on the use of artificial intelligence technology, especially for teaching teachers. Through mentoring to increase teacher competency, it is hoped that teachers can be more creative and more innovative in preparing and delivering material to students. Teachers are also expected to be able to provide examples that are appropriate to the subjects taught and adapt to the current age development of students. Learning by utilizing AI technology is also expected to be able to reduce students' dependence on social media or online games which are often played by students, apart from that students are also required to read more to increase their insight in the teaching and learning process
Co-Authors Agung Ary Wibowo, Agung Ary Ahmad Hanif Ardiah Juita As'ari, Abdul Haris Effendy Effendy Farida Ardiani, Farida Fath, Tri Putra Nuur Hidayatulloh, Dimas Aziz Huldani Huldani Inas Tsurayya Fadilla Lahdimawan, Inas Tsurayya Fadilla Murti Retnowo Nawawi, Muchamad Taufik Nia Kania Nurhandhi, Mogar Pamungkas, Nicholas Bagus Poerwosusanta, Hery Septian, Aldianto Dickyu Siti Wasilah Sutarman Yusuf Ashari, Yusuf Zainal Abidin Zainur, Zainur