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PERANCANGAN PROGRAM ABSENSI KARYAWAN BERBASIS WEB DASHBOARD DAN ARDUINO ESP8266 PADA PT. MILLENIO AMERTA DATA Cavendis, Alwan; Wahidin, Ahmad Jurnaidi
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Volume 15 No 1, September Tahun 2024
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/justit.15.1.291-298

Abstract

PT. Millenio Amerta Data merupakan perusahaan yang bergerak pada proyeksi pengembangan perangkat lunak. Menawarkan fitur kompresi data tanpa menurunkan kualitas file pada awalnya. Absensi Karyawan yang digunakan masih menggunakan sistem manual. tujuan dari penelitian ini adalah mengembangkan sistem informasi data yang terstruktur dan efisien salah satunya di bidang absensi karyawan. Absensi karyawan yang masih manual akan membuat cukup banyak waktu dalam proses pendataan mengakibatkan terjadinya pendataan yang tidak akurat dan terjadinya manipulasi data. maka dari itu, penulis membuat sebuah inovasi teknologi dengan membuat program absensi karyawan berbasis web dashboard dengan Arduino EPS8266 menggunakan kartu RFID. Aktvitas pengolahan data menjadi lebih baik dan teknik pengambilan data absensi dilakukan secara real-time sebagai program untuk membantu sistem absensi karyawan di lingkup perusahaan. Data tidak lagi dimasukan dengan cara manual melainkan data yang diterima dapat dikelola dengan baik. Pembuatan laporan absensi karyawan dilakukan dengan cepat dan akurat sehingga kesalahan dalam perhitungan laporan dapat diminimalisir dan juga dapat lebih mudah memantau dan mengelola laporan absensi karyawan.
Evaluasi Kualitas Layanan Website Kampus Merdeka Dengan Metode Webqual 4.0 Alam, Muhammad Ramadhan Sangisda; Ningsih, Rahayu; Wahidin, Ahmad Jurnaidi
Jurnal Ilmu Komputer Vol 17 No 2 (2024): Jurnal Ilmu Komputer
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

Based on the data from Kemdikbud Ristek, more than 60,000 students have benefited from the MSIB Kampus Merdeka program. In the first batch, there were 12,837 students from 543 universities and 121 partners. In the second batch, the number of students doubled to 24,873 from 638 universities and 152 partners. Meanwhile, in the third batch, there were 27,977 students from 645 universities with 219 partners. This study analyzes the user satisfaction of students participating in the Kampus Merdeka program, specifically at Binasarana Informatika University, focusing on website quality (usability, information, and interaction) using WebQual 4.0. The results indicate that all three website quality variables significantly influence user satisfaction (F value = 45.350 > F table = 2.69). The coefficient of determination (R Square) shows a strong relationship between website quality and user satisfaction (58.6%), with other variables outside the scope of the study explaining the remaining variance. Partially, Information Quality does not have a significant effect, while Usability Quality and Service Interaction Quality have a positive and significant impact. Overall assessment of Kampus Merdeka website satisfaction is predominantly rated as good (51%) and very good (46%), indicating the need for improvement in terms of usability and website interaction.
IMPLEMENTATION OF DYNAMIC METHOD FOR MALWARE DETECTION IN EMAIL PHISHING ATTACKS ON LET'S DEFEND Sanjay, Sanjay; Ningsih, Rahayu; Wahidin, Ahmad Jurnaidi
Journal of Data Analytics, Information, and Computer Science Vol. 1 No. 2 (2024): April
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jdaics.v1i2.717

Abstract

In the rapidly evolving landscape of cybersecurity threats, the need for robust defenses against phishing attacks has become paramount. This study explores the efficacy of malware detection in phishing email attacks using dynamic analysis on the Letsdefend.io platform. Leveraging the insights provided by the Deloitte Center for Controllership regarding the escalating frequency of cyber adversaries targeting organizational data, this research investigates the effectiveness of the Letsdefend.io platform, particularly utilizing the SOC 146 rule, in identifying and mitigating phishing threats. Through a comprehensive analysis process encompassing dynamic malware analysis techniques, such as those employed by VirusTotal and URLHaus, alongside detailed examination of suspicious email attachments using the Mailbox feature, this study aims to provide insights into the evolving tactics of phishing attackers, specifically those utilizing Excel 4.0 Macros. The research methodology involves collecting malware samples for analysis, configuring sandbox environments with tools like Process Monitor and Regshot, and utilizing sophisticated analysis tools like ProcDot to visualize malware behavior. Additionally, the study examines the effectiveness of the Letsdefend.io platform in detecting phishing URLs and malicious domains reported by AnyRun and URLHaus databases. The findings reveal promising results in the detection and identification of phishing threats, shedding light on the potential of dynamic analysis methods in bolstering cybersecurity defenses against evolving phishing techniques. This research contributes to the ongoing efforts to enhance cybersecurity measures and protect organizational assets from the pervasive threat of phishing attacks.
Edukasi Teknologi Internet Dan Media Sosial Guna Membangun Keterampilan Digital Bagi Yatim Dan Dhuafa Tarbiyyatul Qolbi Nusantara Susila, Mochamad Nandi; Hariyanto, Hariyanto; Wahidin, Ahmad Jurnaidi; Sarwoyo, Ventianus
Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Vol 7, No 2 (2024): Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jabdimas.v7i2.20604

Abstract

Penggunaan Internet telah meningkat secara signifikan di seluruh dunia, termasuk di Indonesia. Pada Januari 2023, dengan jumlah pengguna mencapai 213 juta atau 77% dari total populasi. Dalam konteks ini, Rumah Tahfidz Qur'an Yayasan Tarbiyyatul Qolbi Nusantara yang berada di Tangerang merasa perlu memperkenalkan anak-anak yatim dan dhuafa pada teknologi internet dan media sosial. Dalam upaya ini, yayasan beserta kampus UBSI menerapkan metode Service Learning (SL) dalam kegiatan yang tujuan meningkatkan pegnetahuan untuk mengatasi ketidakpahaman anak-anak terhadap penggunaan internet dan media sosial yang positif. Hasilnya, kegiatan pengabdian ini mendapatkan respon positif dari peserta, dengan 34,22% sangat puas, 62,67% puas, dan 3,11% cukup puas. Dengan demikian, pendekatan SL dan metode ceramah berhasil memberikan dampak positif, dan diharapkan kegiatan serupa dapat diulang dengan materi yang lebih beragam, seperti edukasi teknologi Virtual Reality (VR) atau Augmented Reality (AR).
COMPARATIVE ANALYSIS OF K-MEANS, X-MEANS AND K-MEDOIDS IN CLASSIFYING MARRIAGE CHOICED ADMIST QUARTER-LIFE CRISIS Ariza, Disya Nurul; Ningsih, Rahayu; Muryani, Sri; Ferliyanti, Herlina; Wahidin, Ahmad Jurnaidi
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 1 (2024): Desember 2024
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3554

Abstract

Abstract: Bekasi Regency, being one of the key cities in Indonesia, offers a suitable setting to study the intricacies of marriage decision-making during a quarter-life crisis. This study focuses on the application of clustering algorithms to categorize individuals based on their marriage choices. Data was collected from a questionnaire completed by 110 respondents from Bekasi Regency, specifically individuals aged 18 to 30 who are single, including 80 women and 30 men. Data analysis was conducted using the RapidMiner software to evaluate the effectiveness of three clustering algorithms K-Means, X-Means, and K-Medoids in categorizing marriage decision patterns among young people experiencing a Quarter Life Crisis in Bekasi Regency. Results indicate that each algorithm has its own strengths and limitations in handling Quarter Life Crisis data.The results of the analysis show that the K-medoids algorithm provides the best clustering results with the lowest DBI value of 0.195, followed by the X-Means algorithm with a value of 0.199 and K-Means with a value of 0.207. These results can help understand the pattern of marriage decisions in the Quarter Life Crisis phase and help provide insights for policymakers in Bekasi Regency to make more effective intervention programs.            Keywords: K-Means; K-Medoids; X-Means  Abstrak: Sebagai salah satu kota besar di Indonesia, Kabupaten Bekasi memberikan konteks yang tepat untuk mempelajari kompleksitas pengambilan keputusan pernikahan di tengah krisis seperempat usia. Penelitian ini berfokus pada pemanfaatan algoritma clustering untuk mengelompokkan individu berdasarkan pilihan pernikahan mereka. Data diambil dari kuesioner yang diisi oleh 110 responden di Kabupaten Bekasi, yang terdiri dari individu lajang berusia 18 hingga 30 tahun, yaitu 80 perempuan dan 30 laki-laki. Analisis data dilakukan dengan perangkat lunak RapidMiner untuk mengevaluasi efektivitas tiga algoritma pengelompokan—K-Means, X-Means, dan K-Medoids—dalam mengelompokkan pola keputusan pernikahan di kalangan pemuda yang menghadapi Quarter Life Crisis di Kabupaten Bekasi. Hasilnya menunjukkan bahwa setiap algoritma memiliki keunggulan dan kelemahannya masing-masing dalam memproses data Quarter Life Crisis. Hasil analisis menunjukkan bahwa algoritma K-medoids memberikan hasil clustering terbaik dengan nilai DBI terendah yaitu 0.195, diikuti oleh algoritma X-Means dengan nilai 0.199 dan K-Means dengan nilai 0.207. Hasil ini dapat membantu memahami pola keputusan menikah pada fase Quarter Life Crisis dan membantu memberikan wawasan bagi pembuat kebijakan di Kabupaten Bekasi membuat program intervensi yang lebih efektif.  Kata kunci: K-Means; K-Medoids; X-Means 
Inovasi Edukasi Kesehatan Masyarakat dengan Media Digital di Posyandu Seruni RW 01 Buaran Indah Sarwoyo, Ventianus; Wahidin, Ahmad Jurnaidi; Prayudhi, Risa
Info Abdi Cendekia Vol. 7 No. 2: Desember 2024
Publisher : Lembaga Penelitian Universitas YARSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33476/iac.v7i2.169

Abstract

Kegiatan pengabdian masyarakat di Posyandu Seruni RW 01 Kelurahan Buaran Indah bertujuan mengoptimalkan pemanfaatan media digital dalam mendukung layanan kesehatan dan edukasi masyarakat. Pelatihan ini mencakup penggunaan aplikasi KMS Online sebagai pengganti buku KMS manual dan pengenalan media sosial seperti whatsapp, youtube, tiktok, instagram, dan facebook untuk penyebaran informasi kesehatan. Metode pelaksanaan meliputi presentasi materi, demonstrasi, praktik langsung, penggunaan modul panduan, dan sesi tanya jawab interaktif. Evaluasi dilakukan menggunakan kuesioner dengan skala Likert untuk mengukur tingkat pemahaman dan kepuasan peserta. Hasil pelatihan menunjukkan peningkatan keterampilan peserta dengan skor kepuasan rata-rata 4,07 (kategori puas), di mana peserta mampu mempraktikkan penggunaan aplikasi digital dan menciptakan konten edukasi kesehatan. Kegiatan ini berhasil meningkatkan efisiensi operasional Posyandu serta memperluas jangkauan layanan kesehatan melalui media digital. Disarankan pelatihan serupa dilaksanakan secara berkala dengan materi yang diperbarui sesuai perkembangan teknologi dan kebutuhan masyarakat untuk mendukung keberlanjutan program.
Implementasi Metode Preference Selection Index Dalam Penentuan Jaringan Dan Pemanfaatan Internet Pada Provinsi Indonesia Dewantara, Rizki; Cakranegara, Pandu Adi; Wahidin, Ahmad Jurnaidi; Muditomo, Arianto; Sudipa, I Gede Iwan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.527

Abstract

The era of digital society is strongly supported by the development of information and communication technology, along with the use of the internet by the community, making the digital era help every community activity. The progress of internet development in Indonesia cannot be separated from the distribution of network infrastructure in all urban (urban) and rural (rural) areas in all provinces in Indonesia. Based on data from the Central Statistics Agency (BPS) for the period 2017 - 2020, this study aims to determine which of the 34 provinces in Indonesia are provinces that have a strong and stable internet network in urban and rural areas, as well as regions in Indonesia whose people are significantly utilizing the use of the internet in their daily activities in both urban and rural areas. The selection process uses eight assessment criteria from aspects of the expansion and distribution of internet network quality and internet utilization for rural and urban communities in the province of Indonesia. In this study, the method of solving the problem of multi-criteria decision-making is the Preference Selection Index (PSI) method. The results of the final calculation of the PSI method from 34 alternatives determine the five best provinces for expanding the internet network and internet utilization in 2020, namely the alternative provinces of Central Java, West Java, East Java, South Sumatra, and Aceh.
Penerapan Metode Multi-Factor Evaluation Process dalam Penilaian Dosen Wahidin, Ahmad Jurnaidi
Jurnal Informatika Terpadu Vol 10 No 2 (2024): September, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v10i2.1275

Abstract

Lecturer performance evaluation is a crucial component in improving the quality of higher education. This study examines the application of the Multi-Factor Evaluation Process (MFEP) method in evaluating lecturers' performance at Universitas Bina Sarana Informatika. The aspects assessed include pedagogical, professional, personal, and social factors. Data were collected through Likert-scale-based questionnaires distributed to students. The MFEP method was employed to process the evaluation data, considering each aspect's weight and evaluation factors. The analysis results show that the professional aspect received the highest weight, followed by the pedagogical, personal, and social aspects. The lecturer with the best performance (Alternative A2) recorded the highest evaluation score of 4.44, indicating excellence across all evaluated aspects. This study concludes that MFEP is an effective method for providing objective and holistic lecturer performance assessments. Therefore, this method can give lecturers constructive feedback and improve teaching quality. The study recommends applying MFEP at other higher education institutions to ensure the method's consistency and accuracy in various educational contexts.
Implementasi Metode Preference Selection Index Dalam Penentuan Jaringan Dan Pemanfaatan Internet Pada Provinsi Indonesia Dewantara, Rizki; Cakranegara, Pandu Adi; Wahidin, Ahmad Jurnaidi; Muditomo, Arianto; Sudipa, I Gede Iwan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.527

Abstract

The era of digital society is strongly supported by the development of information and communication technology, along with the use of the internet by the community, making the digital era help every community activity. The progress of internet development in Indonesia cannot be separated from the distribution of network infrastructure in all urban (urban) and rural (rural) areas in all provinces in Indonesia. Based on data from the Central Statistics Agency (BPS) for the period 2017 - 2020, this study aims to determine which of the 34 provinces in Indonesia are provinces that have a strong and stable internet network in urban and rural areas, as well as regions in Indonesia whose people are significantly utilizing the use of the internet in their daily activities in both urban and rural areas. The selection process uses eight assessment criteria from aspects of the expansion and distribution of internet network quality and internet utilization for rural and urban communities in the province of Indonesia. In this study, the method of solving the problem of multi-criteria decision-making is the Preference Selection Index (PSI) method. The results of the final calculation of the PSI method from 34 alternatives determine the five best provinces for expanding the internet network and internet utilization in 2020, namely the alternative provinces of Central Java, West Java, East Java, South Sumatra, and Aceh.
Implementasi Metode TOPSIS Dalam Penentuan Dosen Favorit Berdasarkan Preferensi Mahasiswa Herna, Hernawati; Jurnaidi Wahidin, Ahmad
PROFITABILITAS Vol 4 No 2 (2024): JURNAL PROFITABILITAS
Publisher : Sistem Informasi Akuntansi Kampu Kabupaten Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/profitabilitas.v4i2.8255

Abstract

Kualitas pengajaran merupakan faktor penting dalam keberhasilan pendidikan tinggi, sehingga evaluasi kinerja dosen menjadi langkah strategis untuk memastikan proses belajar mengajar berjalan efektif dan efisien. Penentuan dosen favorit berdasarkan preferensi mahasiswa dapat menjadi alat evaluasi objektif untuk meningkatkan mutu pendidikan. Berbagai penelitian sebelumnya telah menggunakan metode berbeda seperti Analytic Hierarchy Process (AHP), Simple Additive Weighting (SAW), Complex Proposal Assessment (COPRAS), dan Multi-Objective Optimization by Ratio Analysis (MOORA) untuk mengevaluasi kinerja dosen. Namun, masih terdapat kesenjangan dalam penerapan metode TOPSIS yang lebih komprehensif dan mudah diterapkan. Penelitian ini mengaplikasikan metode TOPSIS dalam sistem pendukung keputusan untuk menentukan dosen favorit berdasarkan empat kriteria utama: aspek pedagogik, profesional, kepribadian, dan sosial. Kriteria ini mencerminkan dimensi penting yang mempengaruhi kualitas pengajaran dosen dan dinilai dengan bobot yang berbeda. Hasil penelitian menunjukkan bahwa metode TOPSIS memberikan hasil yang objektif dan terukur, dengan dosen A2 mendapatkan nilai preferensi tertinggi. Temuan ini memberikan kontribusi signifikan dalam evaluasi kinerja dosen dan peningkatan kualitas pengajaran di perguruan tinggi. Penelitian ini diharapkan dapat memberikan acuan bagi universitas dalam melakukan evaluasi dan peningkatan kualitas pengajaran secara berkelanjutan, serta mengisi kesenjangan yang ada dalam literatur dengan metode yang lebih aplikatif.