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All Journal IPTEK Journal of Proceedings Series Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Edu Komputika Journal JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Penelitian JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi bit-Tech Journal of Appropriate Technology for Community Services Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jifosi Nusantara Science and Technology Proceedings Jurnal Pengabdian Masyarakat Indonesia Jurnal Ilmiah Teknologi Informasi dan Robotika Jurnal Teknologi dan Manajemen International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Ilmiah Teknik Informatika dan Komunikasi JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Indonesia : Manajemen Informatika dan Komunikasi International Journal of Information Engineering and Science
Akbar, Fawwaz Ali
Universitas Pembangunan Nasional Veteran Jawa Timur
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation

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Design and Development of Web-Mobile Application for Housing Project Management Using KNN for Prediction Salsabila Arifa; Fawwaz Ali Akbar; Chrystia Aji Putra
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2546

Abstract

Project management in housing development is essential to ensure timely completion, budget efficiency, and market alignment. However, many small to medium sized property developers still use manual systems, causing inefficiencies in monitoring, documentation, and sales planning. PT Bakti Luhur Abadi is one such company that still relies on Microsoft Excel for recording project progress and housing unit sales. This study aims to develop an integrated project management system equipped with a sales prediction feature using the K-Nearest Neighbors (KNN) algorithm. The goal is to improve operational efficiency, streamline decision making, and support strategic sales forecasting. The system was developed using the Waterfall method, comprising requirement analysis, system design, implementation, and testing. A key novelty of this research is the dual platform implementation web for administrators and mobile for directors and field teams enabling real time access, structured documentation, and effective communication. The KNN algorithm was tested with 30 test data and 114 training data using K values of 3, 5, and 7. The best result was achieved at K = 7 with an accuracy of 86.7%. Functional validation using black-box testing confirmed all web and mobile features operated as expected. In conclusion, the proposed application effectively automates project management and enables accurate sales prediction. It provides practical benefits for small and medium-scale property developers by increasing efficiency, improving internal coordination, and supporting data driven planning through an accessible and intelligent solution.
Optimalisasi Website Sebagai Media Branding Dan Digital Marketing Batik Lamongan Pada Produsen Titik Batik di Desa Surabayan Kabupaten Lamongan Eva Yulia Puspaningrum; Eka Prakarsa Mandyartha; Fawwaz Ali Akbar
Jurnal Pengabdian Masyarakat Indonesia Vol 5 No 1 (2025): JPMI - February 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.3376

Abstract

Dengan berkembangnya teknologi, para pelaku UMKM perlu mengembangkan usahanya agar tidak ketinggalan dalam memanfaatkan media digital dalam mempromosikan dan memasarkan produknya. Produsen Titik Batik merupakan salah satu UMKM di Desa Surabayan Kecamatan Sukodadi Kabupaten Lamongan yang berperan dalam melestarikan Batik Lamongan. Selama ini, Titik Batik memasarkan produknya secara tradisional melalui pameran, penjualan langsung, dan promosi dari mulut ke mulut. Cara ini hanya efektif dalam menjangkau pelanggan lokal di Kabupaten Lamongan saja. Banyak masyarakat yang belum mengenal seperti apa motif batik lamongan. Untuk meningkatkan jangkauan pasar dan menjangkau pelanggan di luar Lamongan, Titik Batik membutuhkan strategi pemasaran yang lebih luas. Meningkatnya penggunaan internet dan teknologi memberikan peluang yang sangat besar bagi UMKM seperti Titik Batik untuk menggunakan platform online sebagai media promosi dan pemasaran. Oleh karena itu, tujuan dari kegiatan pengabdian masyarakat ini adalah membantu Titik Batik dalam melakukan promosi secara digital dengan menerapkan website sebagai media agar produk lebih diketahui oleh konsumen lebih luas dan meningkatkan penjualan. Metode dari kegiatan ini yaitu membuat sebuah website sebagai media branding dan marketing digital dan kemudian memberikan pelatihan sebagai transfer knowledge dalam penggunaan website. Hasil dari kegiatan ini adalah sebuat website Titik Batik yang dapat digunakan sebagai media branding dan marketing yang berisi mengenai identitas dari Titik Batik, Produk serta Portofolio dari Konsumen Batik Lamongan. Hasil lainnya yaitu Batik Lamongan semakin dikenal karena informasi tentang Batik Lamongan dapat di akses oleh masyarakat dimanapun dan kapanpun. Hal ini berdampak pada keberlanjutan UMKM Produsen Titik Batik adalam memasarkan Batik Lamongan kepada masyaraka serta adanya peningkatan penjualan menjadi lebih luas.
Pendampingan Penggunaan Aplikasi Mobile sebagai Etalase Digital Pada Titik Batik di Desa Surabayan Kabupaten Lamongan untuk Pelestarian Batik Lokal Eva Yulia Puspaningrum; Eka Prakarsa Mandyartha; Fawwaz Ali Akbar
Jurnal Pengabdian Masyarakat Indonesia Vol 6 No 1 (2026): JPMI - Februari 2026
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.4283

Abstract

Batik Lamongan merupakan salah satu produk budaya lokal yang memiliki nilai seni dan filosofi tinggi, namun mitra UMKM Titik Batik di Desa Surabayan, Kabupaten Lamongan, masih menghadapi permasalahan keterbatasan media promosi serta rendahnya pemanfaatan teknologi digital dalam pemasaran produk. Kondisi tersebut berdampak pada terbatasnya jangkauan pasar dan kurang optimalnya upaya pelestarian batik lokal. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas dan kemandirian mitra melalui pemanfaatan teknologi digital sebagai sarana promosi, pemasaran, dan pelestarian Batik Lamongan. Metode kegiatan meliputi identifikasi kebutuhan mitra, pendampingan dan pelatihan penggunaan teknologi digital, serta pengembangan aplikasi mobile sebagai etalase digital Titik Batik. Fitur aplikasi mencakup katalog produk digital, sistem pemesanan, pembayaran, serta penyajian informasi sejarah dan filosofi motif Batik Lamongan. Hasil kegiatan menunjukkan bahwa mitra Titik Batik mampu mengelola etalase digital secara mandiri, meningkatkan visibilitas produk, dan memperluas jangkauan pemasaran. Dampak kegiatan terlihat dari meningkatnya pemahaman mitra terhadap pemanfaatan teknologi digital, bertambahnya saluran penjualan, serta penguatan identitas budaya Batik Lamongan sebagai produk unggulan lokal. Aplikasi mobile yang dikembangkan tidak hanya berfungsi sebagai media pemasaran, tetapi juga sebagai sarana pemberdayaan dan pelestarian budaya batik melalui transformasi digital.
Implementation of A* Algorithm and Contraction Hierarchies for Delivery Route Optimization (Case Study: CV. Almaed.id) Boy Erdyansyah Gunawan; Mohammad Idhom; Fawwaz Ali Akbar; Prismahardi Aji Riyantoko
IJCONSIST JOURNALS Vol 5 No 2 (2024): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v5i2.140

Abstract

In the digital era, manufacturing companies like CV. Almaed.id are required to have an efficient distribution system to compete in the furniture industry. This study proposes the application of the A* algorithm and Contraction Hierarchies (CH) to optimize product delivery routes. This system utilizes road network data from OpenStreetMap and calculates geographic distances using the Haversine method. Implementation results show that the combination of A*, CH, and Haversine can accelerate route calculation and reduce operational costs compared to manual methods.
Implementation of ADABOOST Algorithm on C50 for Improving the Performance of Liver Disease Classification Anwar Sanusi; Chrystia Aji Putra; Fawwaz Ali Akbar
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i2.1

Abstract

The liver is a vital organ that is important for humans because it plays a role in regulating hormone cycles, neutralizing toxins, and controlling the composition of blood. Liver disease is a common ailment worldwide. Often, this disease occurs without specific symptoms (asymptomatic). Therefore, liver disease is known as a "silent killer," and it is necessary to quickly and accurately diagnose and treat liver diseases. Data mining technology can be useful for rapidly detecting liver diseases from laboratory diagnosis results. One classification algorithm that can be used is the C50 algorithm. This algorithm is an improvement over the previous C45 algorithm, with several advantages such as efficient memory usage and more concise tree results. However, the C50 algorithm may experience overfitting on complex medical data, requiring the boosting process using AdaBoost. The AdaBoost algorithm can make the C50 algorithm more susceptible to overfitting. Another advantage of the AdaBoost algorithm is its ability to handle imbalanced datasets in terms of target labels. This research used 583 data from UCI machine learning with two target labels: liver and normal. The research results show that the C50 algorithm is capable of identification with an accuracy rate of 74.58%. Furthermore, the C50 algorithm's accuracy can be maximized by AdaBoost to reach 86.44%
Sistem Absensi Desktop Menggunakan Face Recognition dan Pendekatan Adaptive Attendance Monitoring Imam Afandy; Fawwaz Ali Akbar; Retno Mumpuni
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3487

Abstract

Manual attendance processes in higher education often face severe constraints regarding time inefficiency and vulnerability to data manipulation, specifically the prevalent issue of proxy attendance. Although Face Recognition technology has been widely adopted, most existing systems utilize a "once recognition" method, which fails to validate the student's presence throughout the entire lecture duration. This study aims to bridge this gap by developing an automatic desktop-based attendance system that integrates Face Recognition with a novel Adaptive Attendance Monitoring (AAM) approach. The proposed system utilizes a robust deep learning pipeline employing the Multi-Task Cascaded Convolutional Neural Network (MTCNN) for face detection and alignment, followed by FaceNet for generating 128-dimensional feature embeddings. To ensure real-time performance, the processing is accelerated by CUDA GPU technology on an NVIDIA RTX 4060 Ti. The system architecture follows a decoupled Client-Server model based on REST API, ensuring scalability and low-latency data transmission. The primary novelty of this research is the AAM algorithm, which continuously calculates the cumulative duration of a student's presence. A student is validated as "Present" only if they maintain visibility for at least 80% of the total session duration, effectively eliminating the "check-in and leave" loophole. Experimental results demonstrate that the system achieves a 100% recognition accuracy at an optimal distance of 1.0 meter under normal lighting conditions, with a processing latency consistently maintained under 100ms. These findings confirm that the proposed desktop-edge architecture significantly outperforms traditional mobile-based solutions in terms of stability, security, and continuous monitoring capabilities.
RANCANG BANGUN SISTEM INFORMASI AKADEMIK SEKOLAH BERBASIS KURIKULUM MERDEKA TINGKAT SMA Felliani Kurniawati; Fawwaz Ali Akbar; Eva Yulia Puspaningrum
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 2 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i2.8270

Abstract

Sistem informasi mulai banyak digunakan di segala sektor kehidupan, terutama di sektor pendidikan. Kurikulum Merdeka merupakan kurikulum baru yang diterapkan di sekolah, terutama tingkat SMA. Kebiijakan baru yang memberikan opsi kepada siswa untuk bisa memilih mata Pelajaran pilihan sendiri. Pendataan sekolah menjadi kompleks dan membutuhkan waktu lama untuk mengelola data jika dilakukan secara manual. Maka dari itu, penelitian ini bertujuan untuk merancang sistem informasi akademik sekolah dengan fitur yang bisa melakukan proses pendataan mata pelajaran siswa. Tahapan metode penelitian berupa pengumpulan data, analisis dan perancangan sistem, pembuatan sistem, dan pengujian sistem. Pengujian menggunakan metode blackbox testing untuk menguji fungsionalitas sistem. Hasil penelitian ini menunjukkan hasil bahwa sistem bisa berjalan sesuai dengan fungsionalitas sistem dan dapat digunakan untuk pendataan data-data.
Co-Authors -, Moslim Wahyu S B Ade Fathoni Prastya Akbar, Muhammad Fadel Akbar, Rizky Januar Aldito Restu Wintama Ana, Vika Rafi Anggraini Puspita Sari annisaa sri indrawanti annisaa sri indrawanti Anwar Sanusi Aprilyan, Verdiansyah Ayus Ardisty Palvelus Jumala Arhinza, Rayhan Saneval Awandi, Nadhif Mahardika Azzahra, Rahma Adisty Muffid Basuki Rahmat Benny Danendra Hadi Bhakti, Mulyani Satya Bimantara, Candra Kusuma Muhammad Boy Erdyansyah Gunawan Budi Nugroho Burhanuddin Muhammad Zhirof Cahyas, Jerry Ramadhani Dewanto, Fuad Kurnia Eva Yulia Puspaningrum Eva Yulia Puspaningrum Fadhilasari, Annisa Fahturohman, Ridho Fajar Faisal Muttaqin Faisal Muttaqin Farhana, Hafi Ihza Faris Munir Fauzan, Daffa Athallah Felliani Kurniawati Fetty Tri Anggraeny Firdausi, Putri Aulia Citra Firmantara, Wahyu Firza Prima Aditiawan Fisena, Muhammad Reyhan Dwi Gabriel, Paskalis Reynaldy Elroy Ghifari, Farhat Ibad Al Ginting, Fitznigel Diamond Daniel Habibi, Nabil Henni Endah Wahanani Henni Endah Wahanni Hutagaol, LeonHoss I Gede Susrama Mas Diyasa Ibad, Farhat Ida Ayu Putu Sri Widnyani Ika Nur Habibah Imam Afandy Iriansah, Ogy Rachmad Kasyfillah, Muhammad Rohan Kasyfillah, Rohan Kurniawati, Felliani Kusuma, Steven Nathan Lina Nurlaili, Afina Lugito, Lugito Michael Imanuel Prasetya M. Miftachul Anwar Made Hanindia Prami Swari Mahnedra, Zenryo Yudi Arnava Darva Mandyartha, Eka Prakarsa Martoni Martoni Matondang, Natalia Maulana, Dimas Octa Maulana, Hendra Mayya, Kalfin Syah Kilau Mohamad Ilham Prasetyo Raharjo Mohammad Idhom Muhammad Agung Shobirin Muhammad Muharrom Al Haromainy Muhammad Reyhan Dwi Fisena Muttaqin, Faisal Nadia, Prasinta Hari Natalia Matondang Noor Imansyah Basoeki, Dandy Nugroho, Budi Nugroho, Iliochiesa Hilmi Nur Fadillah Dwi Rahma Nurlaili, Afina Lina Parlika, Rizky Paskalis Reynaldy Elroy Gabriel Prastya, Ade Fathoni Prismahardi Aji Riyantoko Putra, Chrystia Aji Putri, Angie Nurshabrina Rahma, Nur Fadillah Dwi Ramadhana, Fitranda Ramadhani, Neo Retno Mumpuni Reza Aminullah Rifan, Triyono Romadhoni, Firman Ronggo Alit Salsabila Arifa Salsabila, Belia Putri Sandy Rizkyando Saputra, Bayu Rachmawan Saputra, Bayu Rahmawan Saputra, Ersa Valerian Satrio, Deva Dwi Siran, Timothy Ueldy Siti Rochimah Sri Indrawanti, Annisaa SUBAGIA, RONNY Subagio, Moh. Mario Sugiarto Sujatmoko, Amanda Widya Indah Susrama Mas Diyasa, I Gede Syahbana, Ahmad Nadhif Fikri Wardana, Anak Agung Ngurah Wisnu Wintama, Aldito Restu Yisti Vita Via Yudi, Zenryo Ziidan, Muhammad Fattah