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Menampilkan 1–9 dari 9 artikel
Penerapan Metode Teorema Bayes untuk Memprediksi Penyakit pada Tanaman Kopi
Zulkifli Zulkifli
; Relita Buaton
; I Gusti Prahmana
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Vol 3
, No 3
(2025)
Coffee is a leading commodity in Indonesia's agricultural sector, possessing high economic value and providing a livelihood for many farmers. However, coffee plant productivity often declines significantly due to various diseases affecting the leaves, stems, and berries. This situation is exacerbated by the lack of knowledge among most farmers in recognizing early disease symptoms, resulting in delayed treatment. Consequently, crop losses are unavoidable. Based on these challenges, this study ai...
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Dinamika Sentimen Komunikasi Mahasiswa dan Dosen dengan Pemanfaatan Analisis Pesan Whatsapp Akademis Menggunakan Machine Learning
Abdi Prayogi
; Novriyenny Novriyenny
; I Gusti Prahmana
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 3
, No 2
(2025)
Communication is the process of exchanging information, ideas, thoughts, and feelings between individuals or groups through the use of words, signs, or actions. This process can take place verbally or non-verbally and involves various media and channels, such as face-to-face conversations, writing, gestures, facial expressions, and digital technology. This research was conducted at STMIK Kaputama Binjai, namely the WhatsApp group between lecturers and students. This study uses the Support Vector...
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Prediksi Pengaruh Kegiatan MBKM terhadap Mahasiswa menggunakan Metode K-Nearest Neighbor
Farida Hanum
; Yani Maulita
; I Gusti Prahmana
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vol 2
, No 4
(2024)
The Merdeka Belajar Kampus Merdeka (MBKM) program provides students the opportunity to study for one semester outside of their major, aiming to develop the soft and hard skills required in the workforce. One key component of this program is internships or practical work, which gives students hands-on experience in the professional world and the chance to build professional networks. This research uses the K-Nearest Neighbor (K-NN) method to predict the impact of MBKM activities on undergraduate...
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Penggunaan Metode Rough Set pada Tingkat Kecemasan (Anxietas) Mahasiswa dalam Menyusun Tugas Akhir
Nadilla Ayudia Pasa
; Yani Maulita
; I Gusti Prahmana
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vol 2
, No 4
(2024)
This study investigated college students' anxiety levels in completing their final projects, which is an important requirement for graduation. Anxiety is a common problem faced by students, which is often caused by the long and complicated process of preparing a final project. Using the Zung Self-Assessment Anxiety Scale (SAS/SRAS), this study aims to measure the level of anxiety and identify the main factors that contribute to it. The Rough Set Method, an efficient technique for analyzing uncer...
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Diagnosa Penyakit Obsessive-Compulsive Disorder Menggunakan Metode Certainty Factor
Artika Dini Anggriani
; Akim M.H. Pardede
; I Gusti Prahmana
Modem : Jurnal Informatika dan Sains Teknologi
Vol 2
, No 4
(2024)
Obsessive-Compulsive Disorder (OCD) is a psychiatric disorder characterized by uncontrollable obsessive thoughts and compulsive behaviors. The disorder triggers anxiety in sufferers that often drives them to avoid situations or places that can trigger obsessions, such as shaking hands or using public restrooms. Proper treatment is necessary to prevent further impact on the quality of life of OCD sufferers. However, early diagnosis is often constrained by limited time and access to medical expert...
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Korelasi Antara Karakteristik TKI dengan Jenis Pekerjaan Menggunakan Metode Apriori
Elfira Iriani
; I Gusti Prahmana
; Yani Maulita
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vol 2
, No 4
(2024)
This study addresses the issue of Indonesian migrant workers (TKI) whose characteristics do not match the jobs assigned abroad, often leading to complaints from agencies and companies. This mismatch is caused by incorrect job placements and insufficient training, which prompts TKI to leave their assigned jobs. The research aims to better understand the characteristics of TKI that influence successful job placement. The **apriori** method was used to identify patterns and relationships between TK...
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Optimasi Penyusunan Koleksi Buku Dinas Perpustakaan Berdasarkan Pola Peminjaman dengan Metode Apriori : (Studi Kasus: Dinas Perpustakaan)
Dinda Firdawati Simamora
; Rusmin Saragih
; I Gusti Prahmana
Saturnus: Jurnal Teknologi dan Sistem Informasi
Vol 2
, No 4
(2024)
A library is a facility or place that provides reading materials. Good book arrangement can help the library in obtaining good reading sources. The arrangement of library service book collections based on borrowing patterns, there is an alignment between user needs and the availability of reading materials available in the library. Analysis of book borrowing patterns provides valuable insights for library staff in determining the books that are most in demand and often needed by users. Data mini...
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Penerapan Metode Case Based Reasoning untuk Mendiagnosa Penyakit Demensia
Elsa Risqi Amalia
; Magdalena Simanjuntak
; I Gusti Prahmana
Switch : Jurnal Sains dan Teknologi Informasi
Vol 2
, No 5
(2024)
Dementia is a growing global health challenge due to the aging population and lifestyle changes. Early and accurate diagnosis is crucial but often difficult and costly. The Case-Based Reasoning (CBR) method in artificial intelligence offers a solution by mimicking human problem-solving based on past experiences. This study aims to develop and implement an efficient and reliable CBR-based dementia diagnosis system. The system is expected to analyze and compare patient symptoms and medical histori...
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Penerapan Metode K – Means Clustering untuk Menentukan Kepuasan Mahasiswa terhadap Fasilitas Sarana dan Prasarana Kampus di STMIK Kaputama Binjai
Dicha Mutia Dhani
; Relita Buaton
; I Gusti Prahmana
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Vol 2
, No 3
(2024)
Technological advancements in the era of globalization demand improvements in the quality of academic services and educational facilities in institutions. STMIK Kaputama is committed to creating a conducive academic environment by providing optimal facilities. This study aims to determine student satisfaction with campus facilities using the K-Means Clustering method. Data were obtained from recapitulated survey reports and questionnaires filled out by students in 2024. The K-Means Clustering me...
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