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All Journal International Journal of Electrical and Computer Engineering ComEngApp : Computer Engineering and Applications Journal JURNAL SISTEM INFORMASI BISNIS JTEV (Jurnal Teknik Elektro dan Vokasional Techno.Com: Jurnal Teknologi Informasi Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro CommIT (Communication & Information Technology) Jurnal Ilmiah Kursor Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) ELINVO (Electronics, Informatics, and Vocational Education) Annual Research Seminar INFORMAL: Informatics Journal Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics Edu Komputika Journal Format : Jurnal Imiah Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SISFOTENIKA Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Emerging Science Journal INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA JIEET (Journal of Information Engineering and Educational Technology) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Insect (Informatics and Security) : Jurnal Teknik Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI Abdimas Dewantara PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Digital Zone: Jurnal Teknologi Informasi dan Komunikasi IJID (International Journal on Informatics for Development) J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mantik NUKHBATUL 'ULUM : Jurnal Bidang Kajian Islam Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Indonesian Journal of Business Intelligence (IJUBI) bit-Tech Mobile and Forensics Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Cyber Security dan Forensik Digital (CSFD) Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems Journal of Innovation Information Technology and Application (JINITA) Journal of Education Informatic Technology and Science Jurnal Bumigora Information Technology (BITe) Jurnal Teknologi Informatika dan Komputer SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Phasti: Jurnal Teknik Informatika Politeknik Hasnur Jurnal Pengabdian Masyarakat Indonesia Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EDUTECH : Jurnal Inovasi Pendidikan Berbantuan Teknologi J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Informatika Teknologi dan Sains (Jinteks) Techno Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Engineering Science Letter Journal of Novel Engineering Science and Technology Jurnal Informatika: Jurnal Pengembangan IT Jurnal Software Engineering and Computational Intelligence Mohuyula : Jurnal Pengabdian Kepada Masyarakat Scientific Journal of Informatics semanTIK Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JOCHAC Journal of Soft Computing Exploration
Imam Riadi
Department Of Information Systems - Universitas Ahmad Dahlan
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Other

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Role of Finite State Automata in Transliterating Latin Script into Javanese Script Suprihatin, Suprihatin; Riadi, Imam; Furizal, Furizal; D.E Purwadi Putra, Izzan Julda
Khazanah Informatika Vol. 9 No. 2 October 2023
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v9i2.22303

Abstract

Writing Javanese script is considered complicated and difficult for people who learn it. The process of transliterating Latin into Javanese script cannot be done directly, because each alphabet is not always represented by one Javanese script. Javanese script is not represented by one or more Latin letters, so if transliteration of Latin letters to Javanese letters is required, a parsing process is required. The rows of Javanese letters form a ligature with certain rules, so parsing is also needed to arrange the rows of Javanese letters correctly. This study aims to design a program to facilitate the transliteration of Latin script to Javanese script.  Finite State Automata (FSA) is used to describe writing rules. This study is limited to lowercase letters only, capital letters will be subtracted first, number symbols are not discussed in this study. The results of the study are in the form of a program design that can transliterate Latin writing into Javanese. Experiments were carried out as many as 4 structures of vowel consonant variations. All syllabic structures that include KV, KKV, KVK, KKVK have been tried. The transliteration results show conformity with a 100% accuracy rate in accordance with the rules of writing Javanese script. This research shows that the application of FSA can handle the transliteration of Latin letters into Javanese.
Behavioral Intention to Adopt Islamic Financial Technology: Theory of Planned Behaviour with Gender Moderation Utami, Budi Barata Kusuma; Wardiwiyono, Sartini; Hawariyuni, Weni; Abduh, Muhamad; Riadi, Imam
Jurnal REKSA: Rekayasa Keuangan, Syariah dan Audit Vol. 11 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jreksa.v11i2.11041

Abstract

The Islamic banking industry in Indonesia continues to grow, as evidenced by the presence of technology-based services. This study aims to test the application of the theory of plan behavior in explaining customer intention to use Islamic financial technology by adding gender variables as moderators. Primary data were collected from 298 Islamic fintech users through direct and online surveys. The sample was selected based on the purposive sampling technique. Using PLS MGA analysis, this study found that attitude, subjective norms, and perceived behavioral control positively affect the intention to use Islamic fintech, except for perceived behavioral control in the male gender. Using the MGA, Parametric, and Welch-Satterthwait tests, the study also revealed no significant difference between males and females in utilizing Islamic fintech. This study expands the understanding of psychological and social factors in adopting Islamic fintech. It also contributes to the literature by filling the research gap that has not considered gender moderation in adopting Islamic fintech.
FORENSIK MULTIMEDIA BERBASIS MOBILE MENGGUNAKAN METODE NATIONAL INSTITUTE OF JUSTICE Ruslan, Takdir; Riadi, Imam; Sunardi, Sunardi
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 1 (2022): Maret 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i1.210

Abstract

Current technological developments make it easier for people to share information and carry out communication activities through instant messaging applications using multimedia features in the form of audio and video. Technology has been able to contribute and facilitate humans in a positive sense, but it can also be misused to carry out negative activities. In solving crime problems using instant messages, investigators need to carry out digital forensics, including on mobile devices such as smartphones. This study aims to obtain digital evidence of online drug sales scenarios via Facebook messenger and WhatsApp using four forensic tools, namely Belkasoft, Oxygen, MOBILedit, and Magnet Axiom. The National Institute of Justice (NIJ) is used as a framework with stages, namely identification, solution, testing, evaluation, and reporting of results. out of the four tools, MOBILedit cannot recover deleted audio and video while the other three tools can recover deleted audio and video.
Comparative Analysis of Naïve Bayes and K-NN in Determining Location of Mobile Population Services Riadi, Imam; Yudhana, Anton; M. Rosyidi Djou
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6543

Abstract

Tantangan geografis dan jarak antar desa menjadi kendala dalam pemerataan pelayanan kependudukan dan pencatatan sipil. Hal ini memerlukan intervensi program jemput bola atau layanan keliling. Permasalahannya adalah tidak semua desa dapat terlayani layanan keliling, sehingga perlu dilakukan pemetaan desa-desa yang memenuhi syarat menjadi lokasi layanan keliling. Penelitian ini menjelaskan teknik pembelajaran mesin, khususnya algoritma K-NN dan Naïve Bayes, untuk mengatasi masalah pemilihan lokasi yang memenuhi syarat. Hasil percobaan menunjukkan kedua metode mempunyai tingkat akurasi yang cukup baik, dengan K-NN mencapai tingkat akurasi tertinggi sebesar 97,14% pada dataset yang dinormalisasi dengan metode Normaliasi Min-Max (NMM). Sebaliknya, Naïve Bayes menunjukkan nilai akurasi yang tinggi pada seluruh dataset. Oleh karena itu, penelitian ini merekomendasikan penggunaan algoritma K-NN dengan nilai K=2 untuk menentukan lokasi yang layak menerima layanan kependudukan bergerak.
Prediction of Indonesian Presidential Election Results using Sentiment Analysis with Nave Bayes Method Firdaus, Asno Azzawagama; Yudhana, Anton; Riadi, Imam; Mahsun, Mahsun
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7007

Abstract

Social media serves as a solution for politicians as a campaign tool because it can save costs compared to conventional campaigns. The 2024 Indonesian Presidential Election has drawn public attention, especially among social media users. Twitter, as one of the widely used social media platforms in Indonesia, functions as an effective campaign forum. However, the problem that arises is how to automatically collect social media data related to presidential discussions and provide conclusions on the analysis results. Of course, this is not easy if done manually. Sentiment analysis is one approach that can be used for this in order to draw conclusions and analysis related to the available data. Data was collected shortly after the registration of presidential and vice-presidential candidates in November 2023. This study aims to obtain sentiment results from the latest data obtained, get the best model from the Naive Bayes method, to conduct analysis in predicting presidential election results based on sentiment. However, at the time of data collection, candidate numbers had not been assigned by the Election organizers. The obtained data amounted to 11,569 records using the Valence Aware Dictionary for Sentiment Reasoning (VADER) library for labeling. After removing duplicated tweets, the data was reduced to 4,893 records, with each candidate pair having 1,631 data points. The sentiment analysis classification model was determined using the Nave Bayes method with Term Frequency-Inverse Document Frequency (TF-IDF) feature extraction. Based on the data, the highest percentage of positive sentiment was found in Ganjar Pranowo - Mahfud MD data at 69.16%, and the highest negative sentiment was in Prabowo Subianto - Gibran Rakabuming Raka data at 52.12%. Common words in positive sentiment for Ganjar Pranowo - Mahfud MD include "strong," "corruption," "support," "reward," and others. Meanwhile, frequently appearing negative sentiment words for Prabowo Subianto - Gibran Rakabuming Raka include "child," "eldest," "mk," "young," and others. This research achieved an average accuracy of 76.67% using the Naive Bayes method on the entire dataset, indicating its reliability in similar cases.
Klasterisasi Perguruan Tinggi LLDIKTI V Berdasarkan Indikator Kinerja Utama dan PDDIKTI Menggunakan K-Means Clustering Fatmawaty, Virdiana Sriviana; Riadi, Imam; Herman, Herman
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7497

Abstract

Pertumbuhan jumlah perguruan tinggi yang terus meningkat menjadi salah satu faktor krusial untuk memastikan mutu pendidikan tinggi agar berdaya saing. Komposisi perguruan tinggi di Provinsi Daerah Istimewa Yogyakarta terdiri atas 77% Perguruan Tinggi Swasta (PTS) dan sisanya adalah Perguruan Tinggi Negeri (PTN). Masing-masing perguruan tinggi memiliki Indikator Kinerja Utama (IKU) yang wajib dilaporkan dan dipenuhi, serta melakukan pendataan aktivitas pembelajarannya pada Pangkalan Data Pendidikan Tinggi (PDDIKTI). Data IKU dan data PDDIKTI ini menjadi  bahan evaluasi dan analisis untuk menentukan baseline dalam aktivitas pembinaan di LLDikti Wilayah V khususnya bagi PTS. Salah satu model analisis yang dapat dilakukan adalah dengan metode klasterisasi. Metode ini biasa digunakan pada data mining untuk mengelompokkan data berdasarkan kesamaan karakteristik data. Penelitian ini melakukan klasterisasi PTS di LLDIKTI Wilayah V menggunakan algoritma K-Means Custering. Hasil penelitian ini menunjukkan bahwa berdasarkan kesamaan karakteristik data IKU dan data PDDIKTI terbentuk empat klaster PTS, yaitu klaster 1 terdiri dari 4 PTS, klaster 2 terdiri dari 46 PTS, klaster 3 terdiri dari 21 PTS, dan klaster 4 terdiri dari 33 PTS.  Hasil analisis ini akan sangat bermanfaat bagi LLDIKTI Wilayah V dalam melakukan fungsi pembinaan kepada PTS.
Digitalisasi Portofolio Siswa Berbasis Website di SMK Informatika Wonosobo Riadi, Imam; Umar, Rusydi; Muis, Alwas; Yunus, Muhajir
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 6 No. 3 (2023): Desember : Jurnal Pengabdian Kepada Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Siswa dilatih untuk memiliki skill dan pengetahuan agar dapat bekerja pada industri. Setiap siswa dituntut memiliki pengetahuan yang dapat digunakan untuk mencari kerja setelah lulus. Kebutuhan akan adaptasi terhadap perkembangan teknologi informasi dan komunikasi dalam dunia pendidikan semakin meningkat. Sehingga dibutuhkan pelatihan terkait penggunaan teknologi informasi untuk membantu siswa beradaptasi dengan perkembangan teknologi. Tujuan pelatihan ini yaitu untuk memperkenalkan siswa tentang konsep portofolio digital berbasis website dan membekali mereka dengan keterampilan menggunakan teknologi informasi yang relevan untuk membangun dan mengelola portofolio. Manfaat pelatihan ini yaitu membantu siswa untuk mempresentasikan karya-karya mereka secara efektif kepada pihak-pihak yang berkepentingan seperti calon perguruan tinggi dan pemberi kerja. Metode analisis data pada pelatihan ini menggunakan metode likert dengan memberikan pernyataan dan memberikan jawaban mulai dari sangat setuju, setuju, netral, tidak setuju, dan sangat tidak setuju. Siswa berhasil membangun portofolio digital yang menarik dan profesional, memamerkan karya-karya mereka dengan efektif. Metode pengumpulan data pada kegiatan ini yaitu menggunakan kuesioner. ini menunjukkan bahwa pelatihan portofolio menggunakan website sangat mudah dipahami oleh siswa. Selain itu, seluruh siswa berharap pelatihan seperti sering diadakan untuk membantu dalam memanfaatkan teknologi informasi untuk pengembangan diri. Penerapan pelatihan ini di SMK Informatika Wonosobo memberikan manfaat yang signifikan bagi siswa dalam menghadapi tantangan di era digital.   Kata Kunci: Google sites, pelatihan, portofolio, website
PROGRAM PENINGKATAN PENGETAHUAN DAN KEAHLIAN GURU DAN SISWA SEKOLAH MENENGAH PERTAMA TERHADAP SEARCH ENGINE OPTIMIZATION Herman; Riadi, Imam; Chandra Kurniawan, Gusti; Adhi Prabowo, Basit
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 7 No. 2 (2024): Agustus : Jurnal Pengabdian Kepada Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Mahasiswa Magister Informatika Universitas Ahmad Dahlan melakukan Program Pemberdayaan Umat (PRODAMAT) dengan tema Search Engine Optimization (SEO) di Sekolah Menengah Pertama (SMP) Muhammadiyah 1 Berbah Sleman. Salah satu problem di dalam melakukan dakwah melalui dunia maya adalah konten tidak muncul di halaman pertama mesin pencari meskipun konten dibuat lebih dulu. PRODAMAT ini bertujuan untuk meningkatkan keahlian menulis judul dan konten menerapkan SEO sehingga memperbesar peluang konten muncul di halaman pertama mesin pencari. Pelatihan ini diikuti 17 guru, 10 siswa dan satu karyawan SMP Muhammadiyah 1 Berbah Sleman secara luring di laboratorium komputer sekolah. Pretest dilakukan sebelum melakukan pelatihan. Sesi pertama memberikan materi tentang faktor-faktor yang mempengaruhi indexing mesin pencari agar konten muncul di halaman pertama yang ditampilkan oleh mesin pencari berdasarkan kata kunci. Sesi pertama juga memberikan materi tentang cara menulis konten dengan template yang menerapkan SEO. Sesi kedua mempraktikkan pembuatan template yang menerapkan SEO dan menulis konten menggunakan template yang sudah dibuat. Posttest dilakukan setelah pelatihan usai. Hasil tes pretest dan post test menunjukkan bahwa nilai persentase guru meningkat 26%, persentase siswa meningkat 31% dan persentase karyawan meningkat 45%. Secara keseluruhan, nilai persentase meningkat 28%. Hasil ini mengindikasikan adanya peningkatan yang signifikan dalam pengetahuan wawasan dan soft skill tentang penerapan SEO tanpa menggunakan tools SEO.Kata Kunci: SEO, Template, Konten
Improved Breadth First Search For Public Transit Line Search Optimization Kartoirono, Suprihatin; Riadi, Imam; Furizal, Furizal; Azhari, Ahmad
Mobile and Forensics Vol. 5 No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/mf.v5i1.7906

Abstract

People in general find it difficult to determine the transportation route, because to get to one destination there are many alternative paths that must be passed. This study aims to model the search for alternative bus route routes that are faster to produce routes that must be passed. The method used in this study is Improved Breadth first search by modifying BFS so that its performance is improved in producing route search completion. The improved BFS method is basically the same as BFS doing a level-by-level search stop if a false finish point is found. As the experiment above with a starting point of 175 and an end point of 54 the BFS algorithm takes 27 seconds 564 milliseconds, while the Improve BFS algorithm takes 171 milliseconds. The results showed that improved BFS can improve the performance of the BFS method. Research can be a model to be applied to other optimal route finding cases.
Prediksi Kelulusan Tepat Waktu Berdasarkan Riwayat Akademik Menggunakan Metode K-Nearest Neighbor Riadi, Imam; Umar, Rusydi; Anggara, Rio
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 2: April 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20241127330

Abstract

Lulus tepat waktu adalah pencapaian paripurna ingin dicapai oleh semua mahasiswa atau calon mahasiswa. Kelulusan memiliki 2 klasifikasi seperti lulus tidak tepat waktu dan lulus tepat waktu. Kelulusan menjadi suatu penilaian akreditasi universitas dan penilaian oleh masyarakat secara luas. Perguruan tinggi meluluskan mahasiswa-mahasiwa dengan beberapa kriteria standar yang harus dimiliki. Diharapkan mahasiswa lulus memenuhi syarat standar kelulusan dalam waktu maksimal 4 tahun masa studi. Evaluasi dan pemantauan kelulusan sangat penting dilakukan, salah satunya dengan mempelajari data history mahasiswa yang telah lulus sebagai upaya mahasiswa lulus tidak melebihi waktu standar yang telah ditetapkan. Prediksi kelulusan yang dilakukan pada riset menggunakan kaidah klasifikasi K-Nearest Neighbor dengan objek penelitian yaitu mahasiswa. Atribut yang dipakai dalam penelitian metode klasifikasi yaitu nama, asal SMA/SMK, wilayah asal SMA/SMK, nilai rata-rata matematika dan lama studi. Tahapan penelitian diawali dengan pengumpulan data, pemilihan atribut, pembersihan data, transformasi data, pemilihan data testing dan data training. Pengujian akurasi yang didapatkan pada penelitian metode klasifikasi dengan klaster data k=1, k=2, k=3, k=4, k=5, k=6 dan k=7 menghasilkan klaster dengan nilai k=3 paling tinggi. Hasil pengujian akurasi prediksi penelitian menggunakan confusion matrix menghasilkan akurasi paling besar sesuai target yaitu mencapai 78% menggunakan objek penelitian sebanyak 93 data mahasiswa terdiri dari 78 training dan 12 data testing. Hasil pengujian point k=1 sampai point k=7, k=3 merupakan nilai akurasi prediksi yang paling tinggi sehingga hasil penelitian menjadi sumber pengetahuan untuk fakultas dalam prediksi kelulusan mahasiswa.AbstractGraduating on time is a plenary achievement to be achieved by all students or prospective students. Graduation has 2 classifications such as graduating not on time and graduating on time. Graduation becomes an assessment of university accreditation and an assessment by the wider community. Universities graduate students with several standard criteria that must be possessed. It is expected that graduating students meet the graduation standard requirements within a maximum of 4 years of study period. Evaluation and monitoring of graduation is very important to do, one of which is by studying the history data of students who have graduated as an effort for students to graduate not to exceed the standard time that has been set. The graduation predictions carried out in research use the K-Nearest Neighbor classification rules with the research object being students. The attributes used in the research classification method are name, high school/vocational high school origin, high school/vocational high school origin, average grade in mathematics and length of study. The research phase begins with data collection, attribute selection, data cleaning, data transformation, selection of testing data and training data. The accuracy test obtained in the classification method research with data clusters k = 1, k = 2, k = 3, k = 4, k = 5, k = 6 and k = 7 produces a cluster with the highest k = 3 value. The results of testing the accuracy of research predictions using the confusion matrix produced the greatest accuracy according to the target, reaching 78% using a research object of 93 student data consisting of 78 training and 12 testing data. The test results point k=1 to point k=7, k=3 is the highest prediction accuracy value so that the research results become a source of knowledge for the faculty in predicting student graduation.
Co-Authors ., Andi Zulherry Abdul Fadlil Abdul Fadlil Abdullah Hanif Abdullah Hanif Abe, Tuska Achmad Nugrahantoro Achmad Syauqi Ade Elvina Adhi Prabowo, Basit Adiniah Gustika Pratiwi Agung Wahyudi Agus Wijayanto Ahmad Azhar Kadim Ahmad Azhari Ahmad Luthfi Ahmad, Muhammad Sabri Aini, Fadhilah Dhinur Ainunna’imah Akbar, Zulfikri Al Amany, Sarah Ulfah Alawi, Hanna Syahida Alfian Ma’arif Andrianto, Fiki Anggara, Rio Annisa, Putri Anshori, Ikhwan Anton Yudahana Anton Yudhana Anton Yudhana ANWAR, FAHMI anwar, nuril Apriliani, Evinda Aprilliansyah, Deco Ardi Pujiyanta Arif Rahman Arif Rahman Arif Wirawan Muhammad Arif Wirawan Muhammad Arif Wirawan Muhammad Ariqah Adliana Siregar Arizona Firdonsyah Asno Azzawagama Firdaus Asruddin, Asruddin Astika AyuningTyas, Astika Aulia, Aulia Aulyah Zakilah Ifani Bahagiya, Multika Untung Bashor Fauzan Muthohirin Basir, Azhar Bernadisman, Dora Budi Barata Kusuma Utami Budin, Shiha Busthomi, Iqbal Chandra Kurniawan, Gusti D.E Purwadi Putra, Izzan Julda Davito Rasendriya Rizqullah Putra Davito Rasendriya Rizqullah Putra Deco Aprilliansyah Dewi Astria Faroek Dewi Estri Jayanti Dikky Praseptian M Djou, M Rosyidi Dwi Aryanto Eddy Irawan Aristianto Ediansa, Oka Eko Brillianto Eko Handoyo Eko Handoyo Elfatiha, Muhammad Ihya Aulia Elvina, Ade Ervin Setyobudi Fadhilah Dhinur Aini Fadhilah Dhinur Aini Fadlil , Abdul Fahmi Anwar Fahmi Auliya Tsani Faiz , Muhammad Nur Faiz Isnan Abdurrachman Fakhri, La Jupriadi Fanani, Galih Farid Suryanto Fatmawaty, Virdiana Sriviana Fauzan Natsir Fauzan, Fauzan Firdonsyah, Arizona Fithriatus Shalihah Fitri, Fitriyani Tella Fitriyani Tella Furizal Furizal, Furizal Galih Fanani Galih Pramuja Inngam Fanani Guntur Maulana Zamroni Guntur Maulana Zamroni, Guntur Maulana Habie, Khairul Fathan Hafizh, Muhammad Nasir Hanif, Abdullah Harman, Rika Haryanto, Eri Helmiyah, Siti Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah Herman Yuliansyah, Herman Hidayati, Anisa Nur Himawan I Azmi Iis Wahyuningsih Ikhsan Zuhriyanto Ikhwan Anshori Imroatul Khuluqi Izzah Iqbal Busthomi Irhas Ainur Rafiq Irhash Ainur Rafiq Islamey, Reyhanssan Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Jamalludin Jamalludin Jamalludin, Jamalludin Jayawarsa, A.A. Ketut Joko Handoyo Joko Triyanto Kariyamin, Kariyamin Kartoirono, Suprihatin Kurniawan, Endang Kurniawan, Gusti Chandra Kusuma, Ridho Surya Laura Sari Luh Putu Ratna Sundari M. Rosyidi Djou M.A. Khairul Qalbi Mahsun Mahsun Maulana, Irvan Mega Fatimah Rosana Merita Arini Miladiah Miladiah Miladiah, Miladiah Muammar Muammar, Muammar Muchlas Muchlas Muflih, Ghufron Zaida Muh. 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