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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURIKOM (Jurnal Riset Komputer) JSI (Jurnal sistem Informasi) Universitas Suryadarma Indonesian Journal of Education and Mathematical Science IT (INFORMATIC TECHNIQUE) JOURNAL Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Blend Sains Jurnal Teknik Jutech: Jurnal Teknologi Informasi Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer DEVOTE: Jurnal Pengabdian Masyarakat Global Jurnal Komprehenshif Hanif Journal of Information Systems Portal Riset dan Inovasi Sistem Perangkat Lunak Al'Adzkiya International of Computer Science and Information Technology Journal Tsabit Inventa: Journal of Science, Technology, and Innovation
Mulkan Azhari
Universitas Muhammadiyah Sumatera Utara
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Perbandingan Akurasi, Recall, dan Presisi Klasifikasi pada Algoritma C4.5, Random Forest, SVM dan Naive Bayes Azhari, Mulkan; Situmorang, Zakaria; Rosnelly, Rika
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 2 (2021): April 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i2.2937

Abstract

In this study aims to compare the performance of several classification algorithms namely C4.5, Random Forest, SVM, and naive bayes. Research data in the form of JISC participant data amounting to 200 data. Training data amounted to 140 (70%) and testing data amounted to 60 (30%). Classification simulation using data mining tools in the form of rapidminer. The results showed that . In the C4.5 algorithm obtained accuracy of 86.67%. Random Forest algorithm obtained accuracy of 83.33%. In SVM algorithm obtained accuracy of 95%. Naive Bayes' algorithm obtained an accuracy of 86.67%. The highest algorithm accuracy is in SVM algorithm and the smallest is in random forest algorithm
Analisis Perbandingan Algoritma WP Dan TOPSIS Dalam Menentukan Kandidat Peserta Lomba Kompetensi Siswa Maulia Rahman; Mulkan Azhari
IT (INFORMATIC TECHNIQUE) JOURNAL Vol 10, No 1 (2022): IT JOURNAL APRIL 2022
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/it.10.1.2022.42-55

Abstract

Persaingan adalah bagian dari indikator yang menjadikan sebuah sekolah kejuruan menjadi yang terbaik. Semakin banyaknya siswa yang mengikuti kompetisi tentunya akan berdampak positif bagi sekolah kejuruan itu sendiri. Proses seleksi harus dilakukan karena banyaknya kriteria yang harus dipenuhi oleh siswa sebelum mereka dinyatakan siap bersaing baik secara teori maupun praktek sehingga diperlukan suatu sistem pendukung keputusan yang dapat merekomendasikan calon siswa yang mengikuti lomba kompetensi siswa. Dalam penelitian ini, proses penentuan kandidat peserta lomba kompetensi siswa akan dibahas dengan menganalisis dua metode yaitu metode Weighted Product (WP) dan metode Technique for Order by Similarity to Ideal Solution (TOPSIS) dimana kedua metode akan menganalisis perbandingan dengan masing-masing metode. Selanjutnya menggunakan Euclidean Distance dan pembobotan kriteria Skala Likert untuk menganalisis seberapa besar perbedaan antara kedua metode tersebut. Selain itu, kompleksitas algoritma antara kedua metode dianalisis. Hasil analisis perbandingan menunjukkan bahwa metode WP dengan nilai 0,14281 merupakan metode yang sangat baik karena nilai jaraknya hampir nol dibandingkan dengan metode TOPSIS dengan nilai 0,51238.
Applying the Simplex Method to Optimize Employee Distribution to Increase Sales Internet Data Package Mulkan Azhari; Syahril Efendi; Purwanto Purwanto; Halim Maulana
Indonesian Journal of Education and Mathematical Science Vol 4, No 3 (2023)
Publisher : UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v4i3.15151

Abstract

The goal of this article is to ascertain how to maximize sales of internet data packages while keeping the company's marketing budget within reasonable bounds. The technique utilized is linear programming using the Simplex method; this approach's benefit is the ability to compute two or more choice variables, which produces results that are superior to those of the graphical method. Variable Three are utilized in this study: senior marketing (X1), junior marketing (X2), and apprentice marketing (X3). The maximum amount of data package cards that may be sold by the three marketing is 3000. The marketing senior target can sell 1200 packages, whereas the marketing junior target can sell 1200 packages, according to optimization simulation findings using the simplex approach.
Perancangan Sistem Informasi Pelayanan Masyarakat pada Kelurahan Sipagimbar dengan Metode Prototype Berbasis Web Indah Purnama Sari; Oris Krianto Sulaiman; Al-Khowarizmi Al-Khowarizmi; Mulkan Azhari
Blend Sains Jurnal Teknik Vol. 2 No. 2 (2023): Edisi Oktober
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v2i2.288

Abstract

Kelurahan Sipagimbar merupakan suatu instansi yang bergerak di bidang pelayanan masyarakat yang pelaksanaannya masih dilakukan secara manual, sering terjadinya permasalahan yang timbul yaitu terjadinya duplikasi data, tercecernya data, tidak terintegrasinya data secara menyeluruh, serta masih kurangnya informasi persyaratan berkas pada saat mengurus surat pengantar atau keterangan, sehingga proses pelayanan membutuhkan waktu yang lama dan menyebabkan pelayanan masyarakat kurang efektif dan efisien, apalagi pesatnya perkembangan teknologi dunia industri.Oleh karena itu untuk meningkatkan pelayanan mutu yang ada pada kantor kelurahan Sipagimbar dalam hal ini dibuatlah sebuah Rancang Bangun Website Sistem Informasi Pelayanan Masyarakat menggunakan Metode pengembangan sistem adalah Metode Prototype dengan bahasa pemrograman PHP dan database MySQL, alat pengembangan sistem berupa Flowchart, Data Flow Diagram (DFD), Entity Relationship Diagram (ERD). Sistem ini diharapkan dapat membantu memudahkan proses pelayanan administrasi masyarakat dalam permohonan surat pengantar dan keterangan secara online seperti surat izin keramaian, surat keterangan belum menikah, surat keterangan domisili tempat tinggal, surat keterangan izin usaha, surat keterangan izin mendirikan bangunan, surat pengantar pembuatan akte kelahiran, surat keterangan kematian, surat keterangan belum memiliki rumah, surat keterangan Kartu Indonesia Pintar untuk sekolah, surat persyaratan pembuatan Kartu Iindonesia Sehat, surat kepemilikan tanah, surat keterangan cerai ghoib. Tujuan dari penelitian ini adalah untuk memudahkan masyarakat dalam menyampaikan keluhan pelayanan pada keluarahan sipagimbar. Hasil dari penelitian ini berupa tampilan web pengaduan masyarakat yang memudahkan masyarakat dan kelurahan dalam proses pelayanan.
Design of an Application to Calculate Student Grades in Learning Logic Informatics Propositional Calculus Material Al-Khowarizmi Al-Khowarizmi; Asrar Aspia Manurung; Mulkan Azhari
Hanif Journal of Information Systems Vol. 1 No. 1 (2023): August Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v1i1.7

Abstract

Propositional calculus is a method used to calculate the truth value of a proposition. Propositional calculus is commonly studied by various students, from high school to college. Propositional calculus studies the truth value (True/False) of a proposition. The proposition is then processed into the steps of working on the proposition according to the order of operator priority, which is packaged into truth tables and logical expressions. The proposition work done is not easy, but consumes a lot of time and writing media if done manually. Errors in doing proposition work result in inaccurate truth values obtained. Therefore, the author is interested in making an application to calculate student grades using the propositional calculus method that can be used to overcome the problem of working on propositions manually, so that it can produce accurate truth values, which can also be used as a learning medium and media for students to calculate and see the results of their grades manually.
Data Mining Dalam Analisis Faktor Drop Out Mahasiswa Menerapkan Algoritma Decision Tree Azhari, Mulkan; Maulana, Halim; Riza, Ferdy
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.v8i2.7379

Abstract

Graduation accuracy is one of the indicators used in assessing the suitability of undergraduate programs as a functional unit of higher education. Knowing the factors that influence student graduation time helps study programs and faculties make decisions to increase the number of students who graduate on time. The purpose of this research is to obtain an overview of the factors that influence students in the accuracy of completing the study time by using the Machine Learning algorithm, namely Decision Tree, which is expected to have high classification efficiency and good description so that it can increase the number of students graduating on time. The methods used to determine student dropout factors are Classification and Regression Tree (CART) and LightGBM. The data used is the data of undergraduate students of Universitas Muhammadiyah Sumatera Utara in 2019. The quality of classification can be read from the accuracy, sensitivity and specification values. The result using CART is 95.1% with the most influencing factors are GPA, faculty, lecture time and predicate while Lightgbm is 83% with the most influencing factors are GPA, gender, lecture time and faculty. Decision tree can be used to determine student dropout factors because of its high accuracy with GPA being the main factor.
Implementation of Fuzzy K-Nearest Neighbor Method in Dengue Disiase Classification Jannah, Aulia; Husaini, Abdillah; Ichsan, Aulia; Azhari, Mulkan
Hanif Journal of Information Systems Vol. 1 No. 2 (2024): February Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v1i2.14

Abstract

Dengue hemorrhagic fever (DHF) is a condition brought on by infection with the dengue virus. DHF is a severe illness with hemorrhagic clinical signs that can result in shock and death. One of the four viral serotypes of the genus Flavivirus is responsible for DHF. DHF symptoms include fever, joint pain, red skin patches, and others that are similar to those of other illnesses. So that there are no errors in illness prediction, strong accuracy and accuracy are required when classifying DHF patients or not. The Fuzzy K-Nearest Neighbor (FKNN) method is used in this study to classify dengue sickness in order to obtain the best classification outcomes. In this investigation, k was searched for eight times, with values of 3,5,7,9,11,13,15, and 20. Each K's accuracy statistics are 75.15, 75.16, 77.58%, 79.51%, 85.01%, 78.14%, and 75.20 percent. K = 13, which has an accuracy score of 85.01%, yields the highest accuracy.
Application Of Propositional Calculus In Determining Vb.Net-Based Student Score Azhari, Mulkan
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 2, No 2 (2021)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v2i2.230

Abstract

In this era of globalization, human life is always followed by various problems that must be taken with a decision. There is no day without a decision being made. There is an opinion that all his behavior is a reflection of the results of the decision-making process through his mind so that humans often make decisions. Through the process of identifying the problem until the selection is the best solution and this is what is called the decision-making process. The method used in this journal is propositional calculus. This method has the concept of determining a statement in which there are premises from which then through a truth table, one's statement can be drawn a conclusion. and after understanding what propositional Calculus is we can apply that material by creating a VB.NET-based app project with the aim of facilitating the work of lecturers or other instructors.
Implementasi Algoritma Decision Tree Untuk Klasifikasi Pemilihan Sekolah Lanjutan Di MTs Al-Hasanah Medan Putra, Aldryan Bhara; Azhari, Mulkan
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 12 No 2 (2025): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v12i2.1520

Abstract

Algoritma Decision Tree adalah teknik penambangan data yang membantu siswa memilih sekolah menengah secara lebih objektif dengan mengklasifikasikan pilihan sekolah berdasarkan berbagai faktor, termasuk nilai rapor kumulatif nilai keagamaan, umum, dan keterampilan, serta rekomendasi dari guru bimbingan dan konseling. Algoritma Decision Tree bekerja dengan membentuk pola pohon keputusan yang mudah dipahami dan diinterpretasikan, baik oleh siswa maupun pihak sekolah. Data yang digunakan untuk penelitian ini di ambil dari data siswa MTs Al-Hasanah Medan. Dengan variabel meliputi nilai kumulatif raport nilai agama, nilai umum, nilai keterampilan dan rekomendasi guru bimbingan konseling. Hasil dari penelitian ini mayoritas siswa, yakni sebanyak 49 orang (49%), disarankan untuk melanjutkan ke jenjang SMK, berdasarkan hasil klasifikasi data 100 siswa. Sementara itu, jumlah siswa yang direkomendasikan untuk jenjang SMA dan MA cukup merata, yakni masing-masing sebanyak 26 siswa (26%) dan 25 siswa (25%) untuk jenjang SMA dan MA.
Student Data Security Optimization using Multiple Cryptography to Improve E-Campus Services Azhari, Mulkan; Riza, Ferdy; Maulana, Halim
Blend Sains Jurnal Teknik Vol. 3 No. 4 (2025): Edisi April
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/blendsains.v3i4.814

Abstract

Data security is a critical aspect of e-Campus services, which manage student information. However, the risks of data breaches and hacking pose significant challenges, undermining user trust. This study aims to optimize student data security by implementing multiple cryptographic methods that combine Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) algorithms. The research methods include analyzing current security vulnerabilities, developing a security model based on algorithm combinations, and testing its effectiveness through Avalanche Effect measurement, process time evaluation, and user satisfaction surveys. The results indicate that the AES and RSA combination provides stronger protection against security threats, achieving an Avalanche Effect value of 52,36% while ensuring confidentiality, integrity, and data authentication. This implementation also maintains process efficiency, making it suitabble for use in e-Campus environments. This study not only offers a practical solution to enhance data security but also provides implementation guidelines that can be adopted by other higher education institutions.
Co-Authors Al Khowarizmi Andi Zulherry Anggy Wulandari Dalimunthe, Ahmad Al Qodri Azizi Efendi, Syahril Ferdy Riza Halim Maulana Husaini, Abdillah Ichsan, Aulia ILHAM Indah Purnama Sari Jannah, Aulia Khairani, Ade Irma Kipa Jundapri Manurung, Asrar Aspia Maulana, Eka Syarif Maulia Rahman Nadia Febrina Nasution, Perdinal Oris Krianto Sulaiman Prastia, Ilham Purwanto Purwanto Putra, Aldryan Bhara Rifqi Yafik Rika Rosnelly, Rika Rizky Hidayat Hasibuan Siti Khairun Nisa Situmorang, Zakaria Syafik, Hafizan Zahra Apriyani Hakim Nasution