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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal SOLMA JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Ilmiah Sinus JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Informatika Kaputama (JIK) Jurnal Mantik Jurnal Informasi dan Teknologi JTIK (Jurnal Teknik Informatika Kaputama) G-Tech : Jurnal Teknologi Terapan Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Jurnal Tika Instal : Jurnal Komputer Multica Science and Technology JUSTIN (Jurnal Sistem dan Teknologi Informasi) Indonesian Community Journal Sisfo: Jurnal Ilmiah Sistem Informasi SAGA: Journal of Technology and Information Systems Journal Of Artificial Intelligence And Software Engineering Jurnal Medika: Medika Science: Indonesian Journal of Science
Ananda Faridhatul Ulva
Universitas Malikussaleh
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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ANALISIS KINERJA KOMBINASI ALGORITMA AFFINE CHIPER, HILL CHIPER DAN ALGORITMA EL GAMAL DALAMPENGAMANAN DATA Ananda Faridhatul Ulva
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 3 No. 1 (2019): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2019
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v3i1.6306

Abstract

Perkembangan teknologi semakin maju setiap zaman dengan berkembangnya teknologi kebutuhan manusia akan teknologi semakin besar terutama kebutuhan manusia dalam teknologi informasi. Kriptografi secara umum adalah ilmu dan seni untuk menjaga kerahasiaan pesan ketika pesan dikirim dari suatu tempat ke tempat yang lain. Algoritma kunci publik banyak digunakan karena kekuatan pengamanannya tapi memiliki kelemahan dalam lambatnya proses enkripsi dan dekripsi. Penggabungan proses enkripsi dengan menggunakan algoritma simetris yaitu Affine Cipher yang kemudian hasil dari affine cipher dienkripsi kembali dengan menggunakan Hill Cipher sehingga akan menutupi kelemahan dari Affine Cipher kemudian untuk menutupi kelemahan dari kedua algoritma dalam proses pengaman kunci digunakan algoritma asimetris atau algoritma kunci publik yaitu ElGamal sehingga nantinya memunculkan suatu kombinasi algoritma yang dapat memperkuat keamanan data
Classification Analysis Model of Construction Materials to Support Decision-Making in Construction Projects Emi Maulani; Syarifah Asria Nanda; Burhanuddin Burhanuddin; Ananda Faridhatul Ulva; zahratul fitri
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26978

Abstract

This study aims to analyze and compare the performance of Gaussian Naïve Bayes and K-Nearest Neighbor (KNN) algorithms in classifying the feasibility of construction materials to support decision-making in construction projects. A quantitative comparative study design was applied using 127 samples of structural building materials collected from 15 contractor companies in Lhokseumawe City, Indonesia. The dataset consists of five predictor variables: price, compressive strength, water absorption, delivery time, and supplier rating. Data preprocessing included missing value imputation, outlier handling using the interquartile range method, normalization using Min-Max scaling, and class balancing using Synthetic Minority Over-sampling Technique (SMOTE). Model evaluation was conducted using accuracy, precision, recall, F1-score, and AUC, while feature importance was analyzed using permutation importance. The results show that the KNN model (k = 5) outperforms Gaussian Naïve Bayes across all evaluation metrics, achieving an accuracy of 92.11% and an AUC of 0.934.
Co-Authors Abdi Zulfikri Akbar, Rahmat Alimul Haq, Nur Amalia, Fatihah Indah Andriani, Dela Angga Pratama Angga Pratama Aulia, Keysha Bahrul Ulumul Haq Baidhawi Baidhawi Burhanuddin Burhanuddin Chairil Anwar Chairul Akbar Cut Meurah Nurul ‘Akla Dahlan Abdullah Desvina Yulisda Dhani, Saniah Eka Susanti Eka Susanti Emi Maulani Eza Pradanta Sitepu Fadhliani Fadhliani, Fadhliani Fajar Tri Tri Anjani Fidyati, Fidyati G. Gunawan Hafizh Al Kautsar Aidilof Himmatur Rijal Ikhwani, Muhammad Ikhwani ilham - sahputra Ilham Saputra Ivan Maulana Kurniawati Kurniawati Lianita, Ervi M Taufiq Hariadi Masriadi Maulida Hasbi Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza Mauliza, Ade Mochamad Ari Saptari Muhammad Abdullah Ali Muhammad Abdullah Ali Muhammad Amin Muhammad Zikri Mukti Qamal Munirul Ula Muslem R, Imam Mutammimul Ula Muzakir Nur Nur Alimul Haq Nur, Muzakir Nurdin Nurdin Nurhasanah Nurhasanah Nurhasanah Rahma Fitria Rahma Fitria, Rahma Reyhan Achmad Rizal Ridwan Ridwan Rizani, Fitri Rizki Setiawan Rizky Putra Fhonna Saptari, Mochamad Ari Sinambela, Reza Syahputra Sukatin, Sukatin Syafitri, Siska Aulia Syarifah Zahra Ulumul Haq, Bahrul Wardana, Ade Bagus WULANDARI Yesy Afrillia Yulisda, Desvina Yumna Rilasmi Said Yumna Rilasmi Said Yunia Silfitri yusliana, yusliana Zahratul Fitri Zuhra, Elviza