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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) JOIN (Jurnal Online Informatika) JMM (Jurnal Masyarakat Mandiri) ILKOM Jurnal Ilmiah JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Manajemen Informatika Jayakarta Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) International Journal of Informatics, Economics, Management and Science Jurnal Pengabdian Tri Bhakti
Ahmad Khusaeri
Universitas Singaperbangsa Karawang
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Physics Social Sciences Other

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Scalability Testing of Land Forest Fire Patrol Information Systems Khusaeri, Ahmad; Sitanggang, Imas Sukaesih; Rahmawan, Hendra
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.977

Abstract

The Patrol Information System for the Prevention of Forest Land Fires (SIPP Karhutla) in Indonesia is a tool for assisting patrol activities for controlling forest and land fires in Indonesia. The addition of Karhutla SIPP users causes the need for system scalability testing. This study aims to perform non-functional testing that focuses on scalability testing. The steps in scalability testing include creating schemas, conducting tests, and analyzing results. There are five schemes with a total sample of 700 samples. Testing was carried out using the JMeter automation testing tool assisted by Blazemeter in creating scripts. The scalability test parameter has three parameters: average CPU usage, memory usage, and network usage. The test results show that the CPU capacity used can handle up to 700 users, while with a memory capacity of 8GB it can handle up to 420 users. All users is the user menu that has the highest value for each test parameter The average value of CPU usage is 44.8%, the average memory usage is 69.48% and the average network usage is 2.8 Mb/s. In minimizing server performance, the tile cache map method can be applied to the system and can increase the memory capacity used.
Regional Priority Analysis for Equal Distribution of Educational Facilities in West Java Using the Analytical Hierarchy Process (AHP) Method Khusaeri, Ahmad
International Journal of Informatics, Economics, Management and Science Vol 5 No 1 (2026): IJIEMS (January 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v5i1.1600

Abstract

Inequality in educational infrastructure remains a strategic challenge in West Java Province, where disparities in facility availability across regions hinder equitable access to education. This study aims to analyze and map regional priorities for the development of educational facilities (Elementary to Vocational High Schools) using the Analytical Hierarchy Process (AHP) method. Utilizing secondary data from 27 districts/cities, this study converts school availability data into standardized "Gap Scores." The criteria weighting results reveal that Vocational High Schools (SMK) have the highest urgency for intervention with a priority weight of 41%, followed by Senior High Schools (SMA) at 29%, Junior High Schools (SMP) at 21%, and Elementary Schools (SD) at 10%. This finding indicates a strong policy focus on vocational education. Based on the final synthesis, Kuningan Regency ranks first in development priority with a total score of 73.87%, followed by Majalengka Regency (69.84%) and Cirebon Regency (65.61%). Conversely, urban areas such as Bekasi City (6.92%) and Depok City (15.56%) show relatively adequate facility fulfillment. This study contributes a Data-Driven Decision Making model for the provincial government to allocate education infrastructure budgets more objectively, targeting regions with the highest disparities.
ALGORITMA C4.5 UNTUK PEMODELAN DAERAH RAWAN BANJIR STUDI KASUS KABUPATEN KARAWANG JAWA BARAT Khusaeri, Ahmad; Ilham, Septian; Nurhasanah, Desi; Delpidat, Derrenz; Anggri, Anggri; Primajaya, Aji; Sari, Betha Nurina
ILKOM Jurnal Ilmiah Vol 9, No 2 (2017)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v9i2.128.132-136

Abstract

Karawang merupakan kota yang dijuluki dengan kota lumbung padi dan industri. Kemajuan kota Karawang ditentukan dengan situasi dan kondisi kota yang terkendali. Banjir merupakan salah satu hal yang dapat memperhambat kemajuan kota Karawang. Dengan membuat model daerah rawan banjir, dapat mempermudah pemerintah dalam memprediksi daerah – daerah yang rawan banjir berdasarkan data – data yang telah diolah. Algoritma C4.5 merupakan salah satu metode dalam mengklasifikasikan dataset. Pembagian dataset dilakukan dengan menggunakan metode 10-fold cross validation dimana setiap bagian (fold) akan dijadikan data testing  sedangkan n-1 akan dijadikan sebagai data training. Data yang digunakan dalam pembuatan model adalah data banjir, kepadatan penduduk, ketinggian wilayah, jarak pusat daerah dengan sungai dan rata – rata curah hujan. Tingkat akurasi yang dihasilkan dengan menggunakan algoritma C4.5 adalah 84.385%, sedangkan Recall dan Precision yang dihasilkan sebesar 0.95 dan 0.87. pohon keputusan yang dihasilkan dapat dijadikan sebagai aturan dalam pembuatan visualisasi WEB GIS.
Co-Authors Ade Andri Hendriadi Anggri, Anggri Anggri, Anggri Apriade Voutama Betha Nurina Sari Candra Zonyfar Candra Zonyfar Delpidat, Derrenz Delpidat, Derrenz Hendra Rahmawan Hendra Rahmawan ilham, Septian Ilham, Septian Imas Sukaesih Sitanggang Maharina Maharina Ma’sum, Aziz Nurhasanah, Desi Nurhasanah, Desi Putra, Ilham Pratama Sihabudin Sihabudin Sihabudin Sihabudin Sihabudin Sihabudin, Sihabudin Taufik Ridwan, Taufik Titiek Suheta Urzhasa, Viznor Zonyfar, Candra