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All Journal TEKNIK INFORMATIKA TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JURNAL ISTEK JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Coreid Journal
Mohamad Irfan
UIN Sunan Gunung Djati Bandung
Computer Science & IT Electrical & Electronics Engineering Engineering

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Implementasi Algoritma Ant Colony Optimization pada Aplikasi Pencarian Lokasi Tempat Ibadah Terdekat di Kota Bandung Andri Zarman; Mohamad Irfan; Wisnu Uriawan
JOIN (Jurnal Online Informatika) Vol 1 No 1 (2016)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v1i1.4

Abstract

Indonesia merupakan negara yang penduduknya memeluk berbagai agama, yaitu di antaranya agama: Islam, Kriten, Budha, Hindu. Bandung merupakan kota yang banyak wisatawannya, baik wisatawan lokal maupun mancanegara, fasilitas umum yang ada di Kota Bandung dibutuhkan, salah satunya tempat ibadah. Informasi tentang tempat ibadah cukup diperlukan oleh para wisatawan, karena cukup sulit mendapatkan informasi tempat ibadah di Kota Bandung, khususnya sulit dalam mendapatkan rute terdekat (shourtest paht) menuju tempat ibadah tersebut. Penelitian ini dibuat untuk merancang sebuah aplikasi yang memberikan informasi serta petunjuk arah tempat ibadah di Kota Bandung, dengan menerapkan Algoritma Ant Colony Optimization. Aplikasi ini digunakan pada perangkat Smatrphone/Android, oleh karena itu, aplikasi ini cukup flexibel untuk digunakan. Aplikasi ini menggunakan dukungan web service, sehingga data mudah di inputkan oleh admin.
Implementasi Algoritma Divide And Conquer Pada Aplikasi Belajar Ilmu Tajwid Dais Suryani; Mohamad Irfan; Wisnu Uriawan; Wildan Budiawan Zulfikar
JOIN (Jurnal Online Informatika) Vol 1 No 1 (2016)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v1i1.5

Abstract

Seorang muslim harus bisa membaca ayat-ayat Al-Quran dengan baik sesuai yang diajarkan oleh Rasulullah saw. Membaca Al-Quran sesuai ilmu tajwid hukumnya wajib bagi setiap orang, tidak bisa diwakili oleh orang lain. Aplikasi ilmu tajwid yang dibangun bersifat mobile, sehingga user dapat mempelajari tajwid dimana saja dan kapan saja. Selain menambah wawasan tentang tajwid, user dapat membaca Al-Quran secara fasih sesuai hukum tajwid karena aplikasi yang bersifat mobile ini mendukung pembelajaran menggunakan teks dan suara. Selain itu user dapat juga mengasah  kemampuannya tentang ilmu tajwid melalui soal-soal yang ada dalam aplikasi. Aplikasi Belajar Ilmu Tajwid menerapkan salah satu algoritma yaitu divide and conquer. Algoritma divide and conquer diimplementasikan pada pencarian jawaban pada soal yang ada pada menu latihan. Algoritma divide and conquer mempunyai cara kerja membagi masalah menjadi beberapa sub masalah sehingga dihasilkan solusi akhir dari masalah awal. Algoritma divide and conquer mempunyai kompleksitas yang cukup cepat yaitu 2,86272753, dibandingkan dengan algoritma Brute Force yang memiliki kompleksitas lebih tinggi daripada algoritma divide and conquer yaitu 6.
Sistem Pendukung Keputusan Penentu Dosen Penguji Dan Pembimbing Tugas Akhir Menggunakan Fuzzy Multiple Attribute Decision Making dengan Simple Additive Weighting (Studi Kasus: Jurusan Teknik Informatika UIN SGD Bandung) Ian Septiana; Mohamad Irfan; Aldy Rialdy Atmadja; Beki Subaeki
JOIN (Jurnal Online Informatika) Vol 1 No 1 (2016)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v1i1.10

Abstract

Penentuan dosen penguji dan pembimbing skripsi adalah hal yang harus dilakukan disetiap universitas untuk membantu mahasiswa dalam menyelesaikan skripsinya. Dalam menentukan hal tersebut kadang terjadi keputusan yang kurang optimal dimana dosen yang ditunjuk kurang sesuai dengan topik skripsi mahasiswa akibatnya dapat mengurangi kualitas karya ilmiah mahasiswa. Untuk memecahkan masalah tersebut maka dibutuhkan sistem pendukung keputusan yang dapat memberikan rekomendasi dosen penguji dan pembimbing. Salah satu metode yang dapat digunakan adalah  FMADM  (Fuzzy Multiple Attribute Decission Making). Proses penentuan rekomendasi dosen penguji dan pembimbing dilakukan dengan mencari alternatif terbaik berdasarkan kriteria-kriteria yang telah ditentukan melalui metode SAW (Sample Additive Weighting). Adapun metode FMADM dipilih karena mampu menyeleksi alternatif terbaik dari sejumlah alternatif. Dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perangkingan yang menghasilkan alternatif yang optimal, untuk menentukan dosen penguji dan pembimbing.
Decision Support System for Employee Recruitment Using El Chinix Traduisant La Realite (Electre) And Weighted Product (WP) Mohamad Irfan; Undang Syaripudin; Cecep Nurul Alam; Muhammad Hamdani
JOIN (Jurnal Online Informatika) Vol 5 No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.606

Abstract

Management of human resources (HR) is important to achieve company goals. One of the activities in HR management is recruitment, selection, and training. Recruitment and selection are usually done not using a system so that the calculations are still done manually. But by processing data using the system can produce a decision in recommending prospective employees that can have a positive impact on the company. The company selection process is carried out through two stages: administrative selection and final selection in the form of psychological test assessment, interviews, ability tests and communication. The use of the Elimination Et Choix Traduisant La Realite (ELECTRE) method in the administrative selection stage and the Weighted Product (WP) method in the final selection stage is a new discovery made to get the best decision in accordance with the required criteria. By using this method the final results will be obtained namely the recommendation of several prospective employees who are fit to work in the company. The performance results of this system reach one hundred percent, the data from the system is in accordance with the expected calculation.
Implementasi Algoritma Divide And Conquer Pada Aplikasi Belajar Ilmu Tajwid Dais Suryani; Mohamad Irfan; Wisnu Uriawan; Wildan Budiawan Zulfikar
JOIN (Jurnal Online Informatika) Vol 1 No 1 (2016)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v1i1.5

Abstract

Seorang muslim harus bisa membaca ayat-ayat Al-Quran dengan baik sesuai yang diajarkan oleh Rasulullah saw. Membaca Al-Quran sesuai ilmu tajwid hukumnya wajib bagi setiap orang, tidak bisa diwakili oleh orang lain. Aplikasi ilmu tajwid yang dibangun bersifat mobile, sehingga user dapat mempelajari tajwid dimana saja dan kapan saja. Selain menambah wawasan tentang tajwid, user dapat membaca Al-Quran secara fasih sesuai hukum tajwid karena aplikasi yang bersifat mobile ini mendukung pembelajaran menggunakan teks dan suara. Selain itu user dapat juga mengasah  kemampuannya tentang ilmu tajwid melalui soal-soal yang ada dalam aplikasi. Aplikasi Belajar Ilmu Tajwid menerapkan salah satu algoritma yaitu divide and conquer. Algoritma divide and conquer diimplementasikan pada pencarian jawaban pada soal yang ada pada menu latihan. Algoritma divide and conquer mempunyai cara kerja membagi masalah menjadi beberapa sub masalah sehingga dihasilkan solusi akhir dari masalah awal. Algoritma divide and conquer mempunyai kompleksitas yang cukup cepat yaitu 2,86272753, dibandingkan dengan algoritma Brute Force yang memiliki kompleksitas lebih tinggi daripada algoritma divide and conquer yaitu 6.
Readiness measurement of IT implementation in Higher Education Institutions in Indonesia Mohamad Irfan; Syopiansyah Jaya Putra
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14902

Abstract

This article elaborates the result of the Pilot Study which is related to IT implementation factors at the Higher Education Institution (HEI), a pilot study is used to validate quantitative readiness model of IT implementation. The main objective of this study is examining the factors that influence the readiness of IT implementation in HEI. This study attempts to analyze IT Content factors, Institutional Context, People, Process, Technology, Service Quality and IT Implementation Readiness (ITIR). The sample of data was taken from 150 HEIs throughout Indonesia which was then processed in statistical techniques through PLS-SEM method. The research finding shows that 9 of the 14 hypotheses used as ITIR model construct have a very significant influence on IT implementation on HEI, so that this finding can provide a comprehensive contribution to the literature of ITIR model development.
Fisher-Yates and fuzzy Sugeno in game for children with special needs Diena Rauda Ramdania; Mohamad Irfan; Salma Nuralisa Habsah; Cepy Slamet; Wisnu Uriawan; Khaerul Manaf
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14906

Abstract

As a country that has its language, English is an international language that needs to be mastered. Until now, the mastery of English in Indonesian on an international scale is in a low category. Learning English should be taught to children from an early age. For children with special needs, special learning methods are needed so that the material is conveyed. Educational games can be used as an interesting learning media. In this study, an English educational game was created that had the concepts of a quiz, rearrange, and matching. Fisher-Yates algorithm was applied to randomize the questions so that the questions that came out varied. Fuzzy Sugeno algorithm is also applied to the scoring calculation, with input variables of time, value, and the number of stars obtained. The system test outcomes show that the application of the Fisher-Yates algorithm was successful because every question that came out was randomized. The application of the Fuzzy Sugeno algorithm happened also successful because of the high degree of accuracy. Besides, the use of games shows there is an increase in student understanding as evidenced by the acquisition of grades. The results of the average value in doing the test is from 80.41 to 88.3 after playing the game. 
Comparison of Classification Models for Predicting Admission Outcomes of Prospective Students with Disabilities Rosihon Anwar; Mohamad Irfan; Ilham Nurjaman
CoreID Journal Vol. 4 No. 1 (2026): March 2026
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v4i1.147

Abstract

Students with disabilities are a group that requires special attention in the admission process at universities, especially at State Islamic Higher Education Institutions (PTKIN). Although inclusive policies have been implemented, challenges in implementation in the field are still quite significant, especially in terms of equal access and the readiness of educational institutions. This study aims to analyze the opportunities and challenges of accepting students with disabilities at PTKIN through a machine learning approach to predict the factors that influence selection graduation. The research data consists of 80 prospective students with disabilities who participated in the PTKIN selection, covering variables such as gender, province of origin, previous education, school accreditation, and type of disability. The research process included data cleaning, feature engineering (including categorical encoding and recategorization of disability variables), and data balancing using the SMOTE method. Next, model training was carried out using three main algorithms, namely Support Vector Machine (SVM), Random Forest, and XGBoost, as well as model combination (ensemble voting classifier) for performance comparison. The results show that the SVM (RBF kernel) model provides the best performance with an accuracy of 80% and an F1-score of 0.88 for the “Pass” class. This model outperforms Random Forest and XGBoost, which have an accuracy of 65% each. The most influential factors for graduation are the province of origin, disability category, and previous form of education. These findings indicate that the acceptance of students with disabilities at PTKIN is still influenced by geographical factors and educational background, so affirmative policies need to be directed at expanding access for people with disabilities from certain regions and backgrounds. The machine learning approach has proven to be effective as a tool for analyzing inclusive education policies in the PTKIN environment.
Co-Authors Ai Nurpianti Aldy Rialdy Atmadja Aldy Rialdy Atmadja Andri Zarman Beki Subaeki, Fatkhan Gunawan, Aldy Rialdy Atmadja, Beki Cecep Nurul Alam Cecep Nurul Alam Cepy Slamet Dais Suryani Diena Rauda Ramdania Firmansyah, Esa Ian Septiana Ilham Nurjaman Jumadi Jumadi Jumadi Jumadi Khaerul Manaf Kurahman, Opik Taupik Laras Purwati Ayuningtias Mohamad Restu P. L Muhammad Ghufron Muhammad Hamdani Nur Lukman Pebri Alkautsar Rosihon Anwar, Rosihon Salma Nuralisa Habsah Syopiansyah Jaya Putra Undang Syaripudin, Undang Wildan Budiawan Zulfikar Wildan Budiawan Zulfikar Wisnu Uriawan Wisnu Uriawan, Wisnu