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All Journal Jurnal Janitra Informatika dan Sistem Informasi Journal Of Computer Science And Technology Journal Of Artificial Intelligence And Software Engineering
Putra, Arwin
Lhokseumawe State Polytechnic
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Klasterisasi Kualitas Biji Kopi Berdasarkan Taraf Penyusutan Menggunakan Metode K-Harmonic Means dengan Validasi Silhouette Index dan C-index Putra, Arwin; Abdullah, Dahlan; Daud, Muhammad
Jurnal Janitra Informatika dan Sistem Informasi Vol. 4 No. 2 (2024): Oktober - Jurnal Janitra Informatika dan Sistem Informasi
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/f1jg3b72

Abstract

Kopi merupakan salah satu hasil perkebunan masyarakat Indonesia yang memiliki nilai jual yang tinggi. di Indonesia ada beberapa daerah penghasil kopi, salah satunya adalah Kabupaten Bener Meriah dengan luas lahan 48.95 ribu ha dan jumlah produksi 4.75 ribu ton. Setiap desa nya memiliki jumlah produktifitas kopi asalan yang berbeda-beda, walaupun dengan luas lahan yang sama, hal ini terjadi karena adanya proses penyusutan. Oleh karena itu perlu adanya pengelompokan desa dengan kualitas biji kopi berdasarkan taraf penyusutan. Penelitian ini bertujuan untuk mengelompokkan desa-desa dan mengetahui cluster kualitas biji kopi berdasarkan proses pengolahan.Metode yang digunakan dalam pengelompokan (Clustering) ini menggunakan metode K-Harmonic Means yang merupakan pengembangan dari metode K-Means. Jumlah data yang digunakan dalam penelitian ini yaitu sebanyak 34 desa dengan 6 atribut yaitu nama desa, luas lahan, jumlah gelondong, gabah, labu dan asalan . pengujian klaster dilakukan dengan jumlah klaster k = 2, 3 dan 4 serta menguji klaster yang dihasilkan dengan menggunakan metode validasi silhouette index dan C-Index. Berdasarkan hasil analisis penelitian ini didapatkan klastering yang terbaik pada  k = 2 dengan metode Silhouette Index dengan nilai SI = 0,59822 sedangkan c-index diperoleh klaster yang terbaik pada k = 4 dengan nilai CI = 0,03436. Adapun hasil profilisasi k = 2 yaitu 9 desa dengan kualitas kopi sangat baik dan 25 desa dengan kualitas kopi baik. dan profilisasi k = 4 yaitu 5 desa dengan kualitas kopi sangat baik, 13 desa dengan kualitas kopi baik, 10 desa dengan kualitas kopi cukup dan 6 desa dengan kualitas kurang. Dari kedua metode ini yang paling optimal yaitu menggunakan 4 klaster pada c-index yang memiliki nilai rasio Sw dan Sb terkecil yaitu 0,0734.
Implementation of Server Up-Scaling to Improve the Performance and Reliability of the ZIS Information System Azzahari, Muhammad; Safriadi, Safriadi; Putra, Arwin; Ridha, Risky; Rozaliana, Rozaliana
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8725

Abstract

The management of zakat, infaq, and shadaqah (ZIS) using information systems requires reliable server infrastructure to ensure system performance and service availability. The ZIS Information System experienced performance degradation and service instability due to increasing user access and system activities. This study aims to implement server up-scaling to improve the performance and reliability of the ZIS Information System. The research method employed is Research and Development (RD) using a prototyping approach. Server up-scaling was implemented by increasing server resource capacity, including memory and processor, without modifying the existing system architecture. System testing was conducted using black box testing to verify functional correctness, along with performance testing based on response time and system downtime before and after up-scaling. The results show that server up-scaling significantly reduces response time and eliminates system downtime during the testing period. Therefore, server up-scaling is proven to be an effective approach for improving the performance and reliability of web-based ZIS information systems.
Development Of A Web-Based Student Graduation Information System For Vocational High Schools Using The Waterfall Method Muhammad Hari Hasibuan; Annas Prasetio; Riwanul Nasron; Arwin Putra; Ahmad Afif
Journal of Computer Science and Technology (JOCSTEC) Vol 4 No 3 (2026): JOCSTEC - September
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jocstec.v4i3.770

Abstract

Advances in information technology have driven digital transformation across many sectors, including education. One administrative service that is still largely handled conventionally is the announcement of student graduation results and the distribution of Graduation Certificates (Surat Keterangan Lulus/SKL), which makes the delivery of information relatively inefficient. This study aims to build a web-based Student Graduation Information System for vocational high schools (SMK) that simplifies graduation-data management for school administrators and gives students online access to their graduation information. The system was built using the Waterfall method, covering requirements analysis, design, implementation, testing, and maintenance, and was implemented with the Laravel framework, the PHP programming language, a MySQL database, and a Bootstrap interface. It serves two types of users: administrators, who manage graduation data, and students, who can check their graduation status without logging in by entering their National Student Identification Number (NISN). Students who pass can download their SKL directly in PDF format. The system was evaluated through Black Box Testing and the System Usability Scale (SUS). Testing showed that every system function operated as intended, while the usability evaluation returned an average SUS score of 84.5, placing it in the Excellent (Grade A) category. Overall, the system improves the efficiency of school administration, speeds up the delivery of graduation information, and supports the broader digitalization of educational services.
Co-Authors Ahmad Afif Annas Prasetio Azzahari, Muhammad Dahlan Abdullah Hasibuan, Muhammad Hari Muhammad Daud Ridha, Risky Riwanul Nasron Rozaliana Rozaliana Safriadi Safriadi, Safriadi