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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer SEMIRATA 2015 Seminar Nasional Informatika (SEMNASIF) CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Teknik Informatika UNIKA Santo Thomas MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Query : Jurnal Sistem Informasi JOURNAL OF SCIENCE AND SOCIAL RESEARCH KOMPUTA : Jurnal Ilmiah Komputer dan Informatika CSRID (Computer Science Research and Its Development Journal) Jurnal Varian JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Jurnal Ipteks Terapan : research of applied science and education Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Dinamika Informatika (JDI) Data Sciences Indonesia (DSI) International Journal of Economic, Technology and Social Sciences (Injects) Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Proceeding Of International Conference On Education, Society And Humanity Jurnal Teknik Indonesia (JU-TI) "Journal of Data Science
Zakarias Situmorang
FIKOM, Universitas Katolik Santo Thomas
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Journal : JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)

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Analisa Distance Metric Algoritma K-Nearest Neighbor Pada Klasifikasi Kredit Macet Khairul Fadhli Margolang; Muhammad Mizan Siregar; Sugeng Riyadi; Zakarias Situmorang
Journal of Information System Research (JOSH) Vol 3 No 2 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.088 KB) | DOI: 10.47065/josh.v3i2.1262

Abstract

Data mining is a method that can classify data into different classes based on the features in the data. With data mining, non-performance loan categories can be classified based on data on lending from cooperatives to their members. This study uses K-Nearest Neighbor to classify non-performance loan categories with various distance metric variations such as Chebyshev, Euclidean, Mahalanobis, and Manhattan. The evaluation results using 10-fold cross-validation show that the Euclidean distance has the highest accuracy, precision, F1, and sensitivity values ​​compared to other distance metrics. Chebyshev distance has the lowest accuracy, precision, sensitivity, while Mahalanobis distance has the lowest F1 value. Euclidean and Manhattan distances have the highest reliability values ​​for true-positive and true-negative class classifications. Mahalanobis distance has the lowest reliability value for false-positive class classification, while Chebyshev distance has the lowest value for false-negative class classification
Prediksi Pemberian Rekomendasi Kenaikan Pangkat PNS Menggunakan Metode Naïve Bayes Desi Irfan; Irwan Daniel; Adam Sagara; Zakarias Situmorang
Journal of Information System Research (JOSH) Vol 3 No 2 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.889 KB) | DOI: 10.47065/josh.v3i2.1263

Abstract

A civil servant or civil servant (English: civil servant, Dutch: ambtenaar) is a person employed by a government agency to provide public services. As a profession, civil servants are positions that are pursued through career paths and not based on general elections involving the people's vote. Quoted from the Regulation of the Head of BKN No. 35 of 2011 concerning Guidelines for the Preparation of PNS Careers, the career pattern of civil servants is arranged based on the principles of certainty, professionalism, and transparency. One of the requirements to achieve the desired career is through the promotion process. The promotion or class of a civil servant cannot be separated from the recommendation of the leadership. A leader in providing recommendations must look at several important points that must be possessed by employees who will be given recommendations such as Attendance, Integrity, Cooperation and Insight or Knowledge. In the process, there are still problems in terms of technical and effectiveness because manual assessments sometimes still assess subjectively. Therefore, a study was carried out for the classification of the determination of the status of giving recommendations using the Naïve Bayes method. Naive Bayes is one method of probabilistic reasoning. The Naive Bayes algorithm aims to classify data in certain classes, then the pattern can be used to estimate the employee who will be given a recommendation, so that the leader can make a decision to give recommendation or not to the employee
Co-Authors A F Limas Ptr Abwabul Jinan Adam Sagara Ade Clinton Sitepu Ade Clinton Sitepu Adelina, Mimi Chintya Aditia Rangga Alkhairi, Putrama Asrizal Asrizal Asyahri Hadi Nasyuha B. Herawan Hayadi Budi K. Hutasuhut Daim Azhari Parinduri Desi Irfan Doughlas Pardede Efendi, Syahril Ela Roza Batubara Erna Budhiarti Nababan Fazli Nugraha Tambunan Ginting, Emnita Boru Handayani, Meli Hartono Hartono Herman Mawengkang Husein, Alice Erni Ichsan Firmansyah Irwan Daniel Irwan Daniel Ita Juwita Saragih Jaka Tirta Samudra Jaka Tirta Samudra Jaka Tirta Samudra Jaka Tirta Samudra Jazi Eko Istiyanto Junaidi Junaidi Karina Andriyani Kelvin Leonardi Kohsasih Khairul Fadhli Margolang Khoirunsyah Dalimunthe Kusuma, Jaka Lestari, Valencya Lewis, Andreas Lubis, Cindy Paramitha Lusi Herlina Siagian M Anggi Rivai Nst Manungkalit, Jupri Maria Claudia Purba Masri Wahyuni Mawaddah Harahap Mawaddah Harahap, Mawaddah Melda Pita Uli Sitompul Muhadi M. Ilyas Gultom Muhammad Mizan Siregar Muhammad Zarlis Muhammad Zarlis, Muhammad Nababan, Junerdi Novendra Adisaputra Sinaga Opim Salim Sitompul P.P.P.A.N.W. Fikrul Ilmi R.H. Zer Pradipta, Muhammad Iqbal Pratiwi, Mariska Putri Puji Sari Ramadhan Purba, Andry Hery Putrama Alkhairi Rahmad, Sofyan Retantyo Wardoyo Riandini, Maisarah Ridha Maya Faza Lubis Ridha Maya Faza Lubis Rika Rosnelly Rika Rosnelly Rika Rosnelly Rika Rosnelly Rika Rosnelly Rika Rosnelly, Rika Rimbun Siringoringo, Rimbun Romanus Damanik Roslina, Roslina Rubianto Rubianto Sagala, Masdiana Sartika Mandasari Sembiring, Rahmat Widya Sipayung, Sardo Pardingotan Sri Hartati Sugeng Riyadi Tarigan, Dede Ardian Tulus Tulus Wanayumini Yoppi, Edunal Yuni Franciska Yusfrizal Yusfrizal Yusniar Lubis Yusniar Lubis Yusniar Lubis Zekson Matondang