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All Journal Jurnal Inti Talafa : Jurnal Teknik Informatika Jurnal Kegiatan Pengabdian Mahasiswa (JKPM)
Anwarudin, Khairul
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SISTEM PAKAR TES KEPRIBADIAN MYERS-BRIGGS TYPE INDICATOR (MBTI) DENGAN MENGGUNAKAN PERBANDINGAN METODE TEOREMA BAYES DAN CERTAINTY FACTOR rury afriliani; Anwarudin, Khairul; Susanto, Budi
INTI TALAFA Vol. 16 No. 2 (2024): Edisi Juli-Desember 2024
Publisher : Program Studi Teknik Informatika Universitas Muhammadiyah Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32534/int.v16i2.6648

Abstract

The Myers-Briggs Type Indicator (MBTI) is a method for understanding human personality in perceiving the world and making decisions. Identifying a person's personality requires an expert to provide guidance. An expert system is a form of artificial intelligence that adopts expert knowledge (psychologists) to generate information about MBTI personality types. The certainty factor method provides an expert's confidence level, while the Bayes theorem helps manage uncertainty from user input. This research aims to help users recognize their personality to make better future decisions. Based on testing, the system delivers information on MBTI types, their characteristics, and suggestions. From 16 system tests, the certainty factor method achieved an accuracy rate of 100%, higher than the Bayes theorem method, which reached 12.50%. Thus, the certainty factor method is concluded to be more accurate for this MBTI personality test expert system. Keywords: Expert System, Myers-Briggs Type Indicator (MBTI) Personality Test, Certainty Factor, Bayes Theorem
OPTIMASI ADMINISTRASI KEPEGAWAIAN MELALUI SISTEM ABSENSI DAN PENGGAJIAN BERBASIS WEB (STUDI KASUS : PT. SELIM ELEKTRO BREBES Anwarudin, Khairul; Dwi Hantoro, Gunadi; Saropah, Siti
INTI TALAFA Vol. 17 No. 2 (2025): Vol 17 No 2 Tahun 2025
Publisher : Program Studi Teknik Informatika Universitas Muhammadiyah Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32534/int.v17i2.7862

Abstract

Selim Elektro is a company engaged in the manufacturing of household electronic appliances. The attendance and payroll systems at the company are still carried out manually. Each employee is required to sign daily attendance and overtime forms, which are previously distributed by the admin to the heads of each division. These forms are then collected daily by the division heads and submitted to the attendance administrator for manual entry into Microsoft Excel. With a large number of employees, this manual method has become inefficient in managing human resources. This condition often leads to errors in salary or wage distribution due to the vulnerability of the manual attendance system to recording mistakes and human error. Based on these issues, the author designed a web-based attendance and payroll information system using a localhost environment, which allows the attendance process to run automatically and have data integrated directly into the system. The web-based system was developed using a Lenovo ThinkPad laptop with an 8th-generation Intel Core i5 processor, supported by software tools such as Sublime Text and XAMPP, and utilizing the PHP programming language. The development of this system is expected to support the HR team's efficiency in managing employee attendance and payroll. Additionally, the system also provides convenience for employees to access information related to their attendance and salaries over a specific period.
Pembuatan Website Pariwisata Batu Lawang Berbasis Blogger di Desa Cupang Muktiawan, Adriyan Ari; Anwarudin, Khairul
Jurnal Kegiatan Pengabdian Mahasiswa (JKPM) Vol 3 No 1 (2025): Jurnal Kegiatan Pengabdian Mahasiswa (JKPM)
Publisher : Sekolah Tinggi Ekonomi dan Bisnis Syariah (STEBIS) Indo Global Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36908/jkpm.v3i1.623

Abstract

Di era digital, pemanfaatan teknologi informasi menjadi strategi utama dalam promosi pariwisata. Penelitian ini bertujuan untuk mengembangkan media promosi digital melalui pembuatan website berbasis Blogger guna memperkenalkan destinasi wisata Batu Lawang yang terletak di Desa Cupang, Kabupaten Cirebon. Metode yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa website pariwisata yang dikembangkan mampu menyediakan informasi yang lengkap dan mudah diakses oleh calon wisatawan. Website juga dirancang responsif terhadap berbagai perangkat serta terintegrasi dengan media sosial untuk memperluas jangkauan promosi. Adanya peningkatan minat kunjungan serta interaksi melalui media digital menunjukkan bahwa penggunaan Blogger sebagai media promosi pariwisata dapat menjadi solusi efektif dalam pengembangan pariwisata lokal. Penelitian ini merekomendasikan pengembangan konten secara berkelanjutan serta peningkatan literasi digital masyarakat untuk mendukung keberlanjutan promosi pariwisata digital..
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMA BANTUAN PKH (PROGRAM KELUARGA HARAPAN) MENGGUNAKAN METODE SAW (STUDI KASUS : DINAS SOSIAL KABUPATEN CIREBON) Anwarudin, Khairul; Imanda; Nabila, Yumna
INTI TALAFA Vol. 18 No. 1 (2026): Vol 18 No 1 Tahun 2026
Publisher : Program Studi Teknik Informatika Universitas Muhammadiyah Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32534/int.v18i1.8416

Abstract

This study examines the development of a Decision Support System (DSS) to assist the selection process of beneficiaries of the Program Keluarga Harapan (PKH) at the Social Service Office of Cirebon Regency, considering that the current selection process is still conducted manually, which may lead to inaccurate targeting, lack of transparency, and low efficiency, potentially resulting in unfair distribution of social assistance; therefore, a computerized system is required to support decision making in a more systematic manner by considering criteria established by the government. The purpose of this study is to design and implement a DSS based on the Simple Additive Weighting (SAW) method, which is capable of performing weighting and ranking of beneficiary alternatives according to criteria such as pregnant women, school-age children, the elderly, persons with disabilities, and household income, so that the resulting decisions are more objective, fair, and well-targeted. The system is developed using the Laravel framework and a MySQL database, and follows the Waterfall software development model, while data are collected through observation, interviews, and literature review. The implementation results indicate that the system is able to perform normalization, weighting, and ranking processes to determine eligible PKH beneficiaries in accordance with the defined criteria, thereby supporting the Social Service Office of Cirebon Regency in distributing assistance more efficiently, transparently, and accurately.
SISTEM EDOM ANDROID DENGAN VISUALISASI DATA DAN ANALISIS SENTIMEN MENGGUNAKAN MODEL INDOROBERTA Fajar, Alan Maulana; Alan Maulana; Martinus, Agust Isa; Anwarudin, Khairul; Minah Jaya, Suhana
INTI TALAFA Vol. 18 No. 1 (2026): Vol 18 No 1 Tahun 2026
Publisher : Program Studi Teknik Informatika Universitas Muhammadiyah Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32534/int.v18i1.8451

Abstract

Umpan balik mahasiswa berupa komentar teks kerap terabaikan pada laporan Evaluasi Dosen oleh Mahasiswa (EDOM) yang menitikberatkan angka, sehingga potensi informasi mutu pengajaran kurang tergali. Penelitian ini merancang dan membangun sistem EDOM berbasis Android yang mengintegrasikan rekapitulasi nilai dengan analisis sentimen otomatis agar temuan kualitatif tersaji ringkas dan mudah ditindaklanjuti. Arsitektur meliputi aplikasi Flutter untuk pengisian instrumen EDOM, layanan backend Express.js dengan basis data MySQL yang menangani otentikasi berbasis JWT dan otorisasi berbasis peran dan pengelolaan data evaluasi., serta layanan Flask yang menjalankan model IndoRoBERTa hasil fine-tuning guna mengklasifikasikan komentar ke dalam tiga kelas (negatif, netral, positif). Data penelitian mencakup ±100.000 ulasan berbahasa Indonesia yang diperoleh melalui translasi dan penyeimbangan dari korpus awal, dengan pembagian 80.000/10.000/10.000 untuk latih/validasi/uji. Evaluasi menggunakan akurasi, presisi, recall, dan F1-score. Hasil menunjukkan sistem berjalan end-to-end dari pengisian hingga penyajian ringkasan dan distribusi sentimen, dengan kinerja model akurasi 69,67% dan macro-F1 ≈ 0,70 pada data uji, performa terbaik pada kelas positif, sedangkan kelas netral masih menantang. Integrasi ini memperkaya pelaporan EDOM sehingga program studi dan dosen memperoleh dasar pengambilan keputusan yang lebih lengkap dan berbasis data.  
Co-Authors Alan Maulana Budi Susanto Fajar, Alan Maulana Hantoro, Gunadi Dwi Imanda Jaya, Suhana Minah Martinus, Agust Isa Muktiawan, Adriyan Ari Nabila, Yumna rury afriliani Saropah, Siti