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PENGEMBANGAN MAKET PEMANFAATAN AIR HUJAN (PAUJAN) PADA BANGUNAN RUMAH MENGGUNAKAN METODE MULTI MEDIA DEVELOPMENT LIFECYCLE (MDLC) Ramdhany, Tri
Jurnal Teknologi Informasi Vol 4 No 1 (2024): Jurnal Teknologi Informasi
Publisher : INSTITUT DIGITAL EKONOMI LPKIA

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Abstract

Air hujan adalah air yang terbentuk dari proses alam yang turun dengan melimpah. Meskipun melimpah, air hujan sering dibiarkan begitu saja mengalir masuk ke tanah. Padahal air hujan bisa dimanfaatkan, salah satunya menjadi energi alternatif untuk membangkitkan listrik. Maka perlu adanya pengembangan mengenai pemanfaatan air hujan sebagai energi alternatif untuk membangkitkan listrik, khususnya pada bangunan rumah. Berdasarkan analisa curah hujan pada bulan April 2019, BMKG mencatat bahwa curah hujan di Indonesia cenderung menengah sampai tinggi. Maka dengan curah hujan tersebut, sangat memungkinkan untuk digunakan sebagai energi alternatif untuk membangkitkan energi listrik.
Sistem Pendukung Keputusan Penentuan Golongan Ukt Bagi Calon Mahasiswa Baru Menggunakan Algoritma K-Nearest Neighbor Said Fadlan Anshari; Syahriani Putri Ayu; Fadlisyah Fadlisyah; Rizki Suwanda; Tri Ramdhany
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 1 (2026): Januari 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i1.271

Abstract

In continuing lectures, financial readiness is needed to finance education. Single Tuition Fee (Uang Kuliah Tunggal or UKT) is a tuition fee in one semester where there is only one type of fee collection based on the economic and social conditions of the student's parents/guardians so that each student's payment is not the same. The existence of these group differences plus the increase in the UKT group can trigger demonstrations at Malikussaleh University for new students of the class of 2023. Therefore, a decision support system is needed in grouping UKT groups. This study uses the K-Nearest Neighbor  algorithm with  a dataset of 1381 UKT data for new students class of 2023. Furthermore, a split dataset was carried out  by dividing 90% of training data and 10% of testing data. Then the attributes used consist of 13 attributes including father's income, mother's income, father's education, mother's education, father's job, mother's job, home status, house area, number of cars, number of motorcycles, number of brothers, number of working brothers, and number of younger siblings. The outputs produced in this study are classified into 7 classes, namely UKT 1, 2, 3, 4, 5, 6, and 7. The accuracy results obtained at K = 15 were 70.5% with an error value of  29.5% with the results of the number of data in UKT 1 as many as 16 people, UKT 2 as many as 38 people, UKT 3 as many as 27 people, UKT 4 as many as 32 people, UKT 5 as many as 26 people, and UKT 6, and UKT 7 as many as 0 people.