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All Journal Jurnal Pilar Nusa Mandiri Indonesian Journal of Information System Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Jurnal Ilmiah Media Sisfo Jurnal Tekno Kompak Bantenese Jurnal Pengabdian Masyarakat Building of Informatics, Technology and Science BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences ABDIMAS Jurnal Pengabdian Kepada Masyarakat Journal of Artificial Intelligence and Engineering Applications (JAIEA) eProceedings of Engineering Jurnal INFOTEL Journal of Software Engineering and Multimedia (JASMED) Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Jnanadharma Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) IJCOSIN : Indonesian Journal of Community Service and Innovation
Usman, Muhammad Lulu Latif
Telkom University
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Kodein-Penetration: Recommendations of Customer Personalization Level in A CRM using Deep Learning Sudianto, Sudianto; Usman, Muhammad Lulu Latif; Prabowo, Dedy Agung; Gustalika, Muhamad Azrino; Marsally, Silvia Van; Akhmad, Fajar Kamaludin; Rakhma, Nazwa Aulia; Muna, Bunga Laelatul; Wicaksono, Apri Pandu; Rachman, Ari
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.597

Abstract

This study aims to develop a personalization-level recommendation model implemented in the Customer Relationship Management (CRM) system at PT Kodegiri, called KodeinPenetration. Personalization in CRM aims to improve customer interaction by providing more relevant recommendations based on their needs and preferences. To achieve this goal, this study tested several classification models using historical customer interaction data as the basis for analysis. The classification models tested included decision tree-based methods such as Random Forest, Gradient Boosting, and AdaBoosting, as well as deep learning models such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU). In addition, two main feature extraction techniques were applied to process text data, namely TF-IDF (Term Frequency-Inverse Document Frequency) and Tokenizer Padding. TF-IDF is used to represent words as numeric vectors based on their frequency of occurrence. In contrast, Tokenizer Padding is used in deep learning models to convert text into a numeric format that neural networks can process. The test results showed that the decision tree-based method using the TF-IDF feature produced the best accuracy of up to 82%. On the other hand, the deep learning model with GRU architecture utilizing Tokenizer Padding achieved the highest accuracy of 88.23%. This shows that the deep learning model has greater potential in handling sequential data and providing more accurate results compared to traditional methods. This study provides an important contribution to the development of deep learning-based personalized recommendation systems in CRM. By leveraging historical customer interactions, this system can improve user experience by offering more relevant and targeted services.
Rancang Bangun Website Penyedia Jasa Tenaga Ahli Menggunakan Metode Agile Arif, Muhammad; Lulu Latif Usman, Muhammad; Wibisono, Gunawan
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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

Abstract

Secara kodrati, manusia tidak dapatmenjalani hidupnya secara individual tanpa menjalinhubungan sosial, termasuk dalam memenuhikebutuhan akan tenaga kerja terampil. Pekerja lepasseperti tukang bangunan, montir, dan penyedia jasalainnya memainkan peran vital dalam menunjangaktivitas ekonomi masyarakat. Di KabupatenBanyumas, yang dihuni oleh 1.828.573 jiwa, terdapat97.210 individu yang bekerja secara mandiri sebagaitenaga ahli. Jumlah ini mencerminkan potensi besarsekaligus tantangan dalam mengelola informasi danlayanan terkait. Fakta di lapangan menunjukkanmasih adanya hambatan dalam menemukan penyediajasa yang tepat karena tidak tersedianya sisteminformasi yang terintegrasi dan mudah diakses.Minimnya keterhubungan antara masyarakat danpenyedia jasa menyebabkan terhambatnya distribusipekerjaan yang seharusnya bisa diselesaikan secaraefisien.Penelitian ini bertujuan untuk merancang danmembangun sistem informasi berbasis website gunamenjembatani kebutuhan antara masyarakat dantenaga ahli. Sistem ini mengusung pendekatan Agiledevelopment, yang memungkinkan pengembanganberjalan secara bertahap, responsif terhadapperubahan, dan melibatkan kolaborasi aktif daripengguna. Pengujian fungsional dilakukanmenggunakan metode black-box testing untukmemastikan bahwa fitur yang dikembangkan sesuaidengan tujuan dan kebutuhan pengguna. Hasil daripengembangan ini diharapkan tidak hanya menjadisarana pencarian jasa yang efisien, tetapi jugamendorong profesionalisme tenaga ahli lokal,memperkuat jaringan kerja, dan menghadirkanekosistem layanan digital yang adaptif sertaberkelanjutan.Kata kunci: Agile, Black-box testing, Manajemenpelayanan, Tenaga Kerja, Website
Pengembangan Rest API Untuk Monitoring Daerah Rawan Narkoba Menggunakan Framework ExpressJs Dengan Metode Scrum Sumantry, Diptya Bagus; Usman, Muhammad Lulu Latif; Rafika Nur, Yohani Setiya
Jurnal Tekno Kompak Vol 18, No 2 (2024): AGUSTUS
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v18i2.3919

Abstract

Narkoba adalah obat terlarang yang dapat menyebabkan banyak gejala negatif jika disalahgunakan oleh pengguna. Di Kabupaten Banyumas terdapat sekitar 23.985 jiwa penyalahgunaan dan peredaran gelap narkoba pada tahun 2022. Dengan banyaknya perkiran tersebut, Badan Narkotika Nasional Kabupaten (BNNK) Banyumas mempunyai tanggung jawab dalam pencegahan, pemberantasan, penyalahgunaan dan peredaran gelap narkoba di wilayah Kabupaten Banyumas degan melaksanakan program Desa Bersih Narkoba (Desa Bersinar). Desa Bersinar merupakan kegiatan yang digunakan untuk pencegahan, pemberantasan, penyalahgunaan dan peredaran gelap narkoba. Kegiatan tersebut dimulai dari pemetaan wilayah daerah rawan narkoba yang nantinya digunakan untuk monitoring daerah rawan narkoba. Dalam melaksanakan kegiatan Desa Bersinar BNNK Banyumas masih melakukannya secara manual maka berdasarkan permasalahan tersebut penulis akan memberikan solusi yaitu mengambangkan backend dengan hasil Rest API yang nantinya digunakan untuk mengelola data dan monitoring daerah rawan narkoba yang dapat digunakan pada pengembangan frontend. Pengembangan Rest API akan menggunakan metode scrum dengan framework ExpressJs. Agar pengembangan ini dapat berjalan sesuai yang diharapkan maka akan dilakukan pengujian pada Rest API dengan whitebox testing dan blackbox testing. Sprint pertama dilaksanakan selama 2 minggu pada tanggal 24 juli 2023 – 6 Agustus 2023 dengan 17 product backlog dan total story point planed 60 jam dengan story point actual 60 jam. Sprint Kedua dilaksanakan selama 2 minggu pada tanggal 14 agustus 2023 – 27 agustus 2023 dengan 22 product backlog dan total story point planed 60 jam dengan story point actual 60 jam. Hasil dari setiap sprint menghasilkan Rest API. Story point planed dan story point actual akan menghasilkan burndown chart untuk melihat proses pekerjaan selama sprint. Penelitian ini dilakukan sesuai dengan waktu yang direncanakan dan Rest API dapat diterapkan pada pengembangan frontend.
Penguatan Kelompok Usaha Bersama Batik “Ammorista” Desa Gumelem Banjarnegara Usman, Muhammad Lulu Latif; Marsally , Silvia Van; Prabowo , Dedy Agung
ABDIMAS Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2024): ABDIMAS JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Research and Community Service INSTITUT TEKNOLOGI DAN BISNIS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/abdimas.v5i2.4311

Abstract

Program Pengabdian Kepada Masyarakat (PKM) ini dilakukan bersama Kelompok Usaha Bersama (KUB) Batik "Ammorista" di Desa Gumelem, Banjarnegara, untuk meningkatkan daya saing, peralatan, pemasaran, dan pengetahuan anggota. Program bertujuan melestarikan Batik Gumelem sebagai warisan budaya serta meningkatkan kesejahteraan ekonomi, terutama bagi perempuan anggota KUB. Metode meliputi pengadaan alat-alat batik modern seperti kompor dan canting listrik, pelatihan penggunaannya, sosialisasi digital marketing, dan pendampingan pembuatan akun e-commerce di Shopee. Hasil menunjukkan peningkatan efisiensi produksi, kualitas batik, dan keterampilan anggota dalam menggunakan alat modern. Sosialisasi digital marketing berhasil meningkatkan kesadaran akan pentingnya pemasaran online, dan pendampingan e-commerce memungkinkan KUB menjangkau pasar lebih luas. Program ini berkontribusi positif dalam memberdayakan ekonomi anggota, memperkuat peran perempuan, dan melestarikan Batik Gumelem.
Computer Network Design and Applications for West Java Legislative Elections Usman, Muhammad Lulu Latif; Supriyadi, Asep Adang; Wijaya, Satria Dhaniswara Rahsa; Herdianto, Bachtiar
Indonesian Journal of Information Systems Vol. 7 No. 1 (2024): August 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v7i1.5420

Abstract

Legislative elections or Pileg are an annual schedule that is routinely held in Indonesia for five years. The concept of technology 4.0 has a huge opportunity to be applied in the legislative election process in this modern era. Legislative elections that use digital devices connected in such a way have more advantages than legislative elections that use conventional methods. The application of technology 4.0 in legislative elections has advantages in terms of effectiveness, data processing speed, and costs. The design of the legislative election system is made using a network where each polling station will be provided with one server to accommodate votes at the polling station. Then the server synchronizes the data to a central server to calculate the final results obtained. The server is built using the text-based Ubuntu Linux operating system. The application used is web-based, with the programming languages used being HTML, PHP, CSS, and Javascript. The test data shows that the time required for the system to complete each stage of the legislative election process is relatively faster than conventional legislative elections. So it can be concluded that the design of the legislative election system has met the requirements to accelerate the legislative election process. This research uses an SDLC system with a prototype model. Tests are carried out using BlackBox testing to test the suitability of the application with application access.  
IMPLEMENTATION OF VIRTUAL TOUR USING IMAGE STITCHING AS AN INTRODUCTION MEDIA OF SMPN 1 KARANGKOBAR TO NEW STUDENTS Reza Setiawan, Muhammad; Azrino Gustalika, Muhamad; Lulu Latif Usman, Muhammad
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 5 (2023): JUTIF Volume 4, Number 5, October 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.5.968

Abstract

“During the pandemic, the education sector experienced a decline where students and teachers had to do online learning due to the increasingly widespread Covid-19 outbreak. Therefore, the Indonesian government decided to reduce activities that cause crowds in order to prevent the transmission of Covid-19 in Indonesia. With such problems, the author can provide a solution by using a Virtual Tour which is used as a medium to introduce Karangkobar 1 State Junior High School to students who want to register when PPDB takes place. Virtual Tour in the form of 360-degree panoramic images provided with a hotspot and several features such as popups such as images and information that appear in real time. In the functional testing of the Espensaka Virtual Tour application, it was carried out using the Blackbox Testing method on eight different smartphones which produced functions that could run well but had problems with the Gyroscope which could not run on laptops and computers. Then the test using the SUS (System Usability Scale) method with 90 respondents who filled out 10 questions on the questionnaire resulted in an average value of 73.8 which the score according to the System Usability Scale Grade was included in a good rating. From the results of testing using the method on the application, it can be concluded that the Espensaka Virtual Tour application can be run well but has problems with the Gyroscope which cannot be run on laptops and computers. The Espensaka Virtual Tour application can still be used by making an improvement on the recommended hotspot.
Design and Evaluation of a CMS-Integrated Academic Chatbot Using Gemini AI Bunga Laelatul Muna; Muhammad Lulu Latif Usman; Sudianto Sudianto; Bachtiar Herdianto
JURNAL INFOTEL Vol 17 No 4 (2025): November
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i4.1318

Abstract

Efficient academic services are a crucial component, and their implementation is the responsibility of higher education institutions. Telkom University Purwokerto (TUP) faces challenges in providing responsive academic services, especially in conventional online services. This research proposes the development and integration of an artificial intelligence-based academic chatbot, ‘Akif’, utilizing the Gemini 1.5 Flash model, which is linked to the institution’s Content Management System (CMS). This integration enables the retrieval of real-time information and automatic updates to the model. The tuning and evaluation process was conducted using the BLEU metric, with a value of 0.88 being reached, indicating a fairly good level of agreement between the generated answers and the reference. Although the results are promising, the system still faces limitations, particularly the risk of hallucination, which is a common challenge with generative models. Additionally, the use of BLEU as an initial evaluation metric overlooks aspects of semantic depth and user satisfaction. This research contributes a modular integration framework between generative AI and institutional systems, and highlights its potential and limitations in academic service automation.
Prawitagarden.Com Website As A Promotional Media For Honey Derivative Products From The Forest Farmers Group: Website Prawitagarden.Com Sebagai Media Promosi Produk Turunan Madu Kelompok Petani Hutan Muhammad Lulu Latif Usman; Ratih Windu Arini; Muhamad Azrino Gustalika
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 9 No. 4 (2025): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

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

Abstract

Damakradenan Village, Ajibarang District has great potential in pure honey production through the “Petani Muda Prawita” Forest Farmer Group. This group produces various types of honey, including klanceng honey, mellifera bee honey, Apis cerana honeycomb honey, and sachet honey, with the main target market being children. However, product sales are still limited in the Banyumas Regency area and digital marketing has not been running optimally because it only relies on Instagram social media without an official website. This problem has an impact on limited market reach and consumer trust levels. This community service program is implemented to help partners increase promotion and sales through website development as a digital marketing medium. The stages of the activity include creating a website using the WordPress framework, the indexation process so that it can be found on the Google search engine, and website management training for partners. The results of the activity show that partners now have an official website with the domain prawitagarden.com, indexed on the Google search engine, and partners have been equipped with independent website administration skills. The existence of the website is expected to expand market reach, increase consumer trust, and support the continuity of the Prawita Garden honey business digitally
IMPLEMENTASI SISTEM INFORMASI MANAJEMEN PARIWISATA TERPADU DI DESA PANEMBANGAN KECAMATAN CILONGOK KABUPATEN BANYUMAS Totok Agung Dwi Haryanto; Sri Lestari; Dyah Susanti; Emyliana Listiowati; Muhammad Lulu Latif Usman
Indonesian Journal of Community Service and Innovation Vol. 5 No. 3 (2025): Desember 2025
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v5i3.9982

Abstract

Perkembangan desa wisata di Indonesia menuntut adanya tata kelola yang profesional dan berbasis teknologi digital. Desa Panembangan, Kecamatan Cilongok, Kabupaten Banyumas, merupakan salah satu desa wisata yang menghadapi permasalahan dalam manajemen keuangan dan pelaporan karena masih dilakukan secara manual. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kapasitas pengelola wisata melalui pelatihan manajemen pariwisata dan penerapan sistem digital berupa website manajemen keuangan pariwisata desa. Metode kegiatan menggunakan pendekatan partisipatif dengan melibatkan empat pemangku kepentingan utama, yaitu Pemerintah Desa (Pemdes), Badan Permusyawaratan Desa (BPD), Badan Usaha Milik Desa (BUMDes), dan Kelompok Sadar Wisata (Pokdarwis). Kegiatan dilaksanakan melalui empat tahapan utama: (1) pelatihan manajemen pariwisata, (2) perencanaan alur kerja pelaporan keuangan, (3) pembuatan website manajemen keuangan, dan (4) pelatihan penggunaan website. Hasil kegiatan menunjukkan peningkatan pengetahuan dan keterampilan pengelola wisata dalam pengelolaan keuangan serta peningkatan efisiensi pelaporan keuangan yang sebelumnya dilakukan secara manual menjadi berbasis digital. Sistem ini juga memperkuat transparansi dan akuntabilitas pengelolaan wisata di Desa Panembangan. Dengan adanya website manajemen keuangan, pelaporan antar unit usaha wisata menjadi lebih cepat, akurat, dan terdokumentasi secara sistematis, sehingga mendukung terwujudnya tata kelola pariwisata desa yang modern dan berkelanjutan.
Implementation of Agile Method and Apriori Algorithm for Recommendation System in Outdoor Equipment Rental Services Elfreda, Raditya Prama; Usman, Muhammad Lulu Latif
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5567

Abstract

Drop Outdoor Purwokerto faces inefficiencies in its outdoor equipment rental process, where customers are required to visit the store directly to check item availability, often resulting in miscommunication and suboptimal transaction management. To address this issue, this study aims to design and develop a web-based outdoor equipment rental information system that enables real-time availability checking and efficient online booking. The system is developed using the Agile methodology to accommodate dynamic user requirements and iterative system improvements. In addition, the Apriori algorithm is implemented to analyze historical rental transaction data and generate item recommendations based on association rule mining. The analysis results indicate that several outdoor equipment items exhibit strong association patterns, with the highest lift value exceeding 1, signifying meaningful relationships beyond random co-occurrence. These patterns are utilized as the basis for the recommendation feature within the system. Functional testing using Black Box Testing shows that all system features operate as expected, achieving a 100% success rate across tested scenarios, including transaction processing, cart management, and recommendation display. The findings demonstrate that integrating the Agile development approach with Apriori-based data mining can effectively support data-driven decision-making in outdoor equipment rental services. This study contributes to the development of recommendation systems for small and medium-sized rental businesses by highlighting the practical application of association rule mining on rental transaction data, which exhibits characteristics distinct from conventional retail datasets.
Co-Authors Agung Al Rasyid Akhmad, Fajar Kamaludin Aprilia Intan Prasetya Aris Poniman Bachtiar Herdianto Bita Parga Zen Bunga Laelatul Muna Bunga Laelatul Muna Dasril Aldo Dedy Agung Prabowo Dyah Susanti Elfreda, Raditya Prama Emyliana Listiowati Fauzan, Fikrian Akmal Fifing Fifing Gunawan Wibisono Halimil Fathi Herdianto, Bachtiar Hutama, Iqbal Yoga Krisna Subarkah Lintang Cahya Mulyadani Luthfiyah Sakinah Marsally , Silvia Van Marsally, Silvia Van Muhamad Azis Muhamad Azrino Gustalika Muhamad Azrino Gustalika Muhammad Arif Muhammad Nugraha Muhammad Reza Setiawan Muna, Bunga Laelatul Musawarman, Mr. Nopi Rahmawati Nugraha, Varrel Bramasta Pratama, Boby Mugi Rachman, Ari Rafie, Muhammad Iqbal Ainu Rafika Nur, Yohani Setiya Rahayu, Widya Andayani Rakhma, Nazwa Aulia Ramadhani, Ike Fitria Ratih Windu Arini Rehita Hasian Batubara Rian Ajie Pangestu Rizky Amelia Salsabila Fitrania Utami Salsabilla, Hanin Silvia Van Marsally Siti Roqayah Sri Lestari Sudianto Sudianto, Sudianto Sumantry, Diptya Bagus Supriyadi, Asep Adang Syam, Siti Nur Fadilah Tiawan Tiawan Tiawan, Tiawan Totok Agung Dwi Haryanto Utami, Annisaa Wibowo, Fahrudin Mukti Wicaksono, Apri Pandu Wijaya, Reza Irfan Wijaya, Satria Dhaniswara Rahsa Yohani Setiya Rafika Nur Zulfina Wiria Ananda