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All Journal JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Sains dan Teknologi Prosiding SNATIF E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL ILMIAH INFORMATIKA Jurnal DISPROTEK Jurnal Nasional Komputasi dan Teknologi Informasi EDUMATIC: Jurnal Pendidikan Informatika Jurnal SITECH : Sistem Informasi dan Teknologi Jurnal Teknologi Informasi dan Pendidikan JATI (Jurnal Mahasiswa Teknik Informatika) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Information Technology Ampera Indonesian Journal of Technology, Informatics and Science (IJTIS) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Muria Jurnal Layanan Masyarakat Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Algoritma Jurnal Pengabdian Masyarakat Bhinneka Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Jurnal Masyarakat Madani Indonesia Jurnal Pengabdian Teknik dan Sains (JPTS) semanTIK
Yudie Irawan
Universitas Muria Kudus
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Transportation Other

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Implementasi Customer Relationship Management (CRM) dalam Meningkatkan Penjualan pada Tasbihastore Berbasis Web dengan Fitur Payment Gateway dan Notifikasi Whatsapp Marchela Tri Amanda; Yudie Irawan; Syafiul Muzid
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 1 (2025): Februari 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i1.8729

Abstract

Abstrak - Tasbihastore merupakan toko yang menjual hijab dan perlengkapan muslimah dengan layanan pemesanan online dan pengiriman ke pelanggan. Berlokasi di Desa Karangnongko, RT/04 RW/04, Kecamatan Nalumsari, Kabupaten Jepara. sistem pelayanan masih dilakukan secara manual, mulai dari transaksi hingga pencatatan pesanan. Oleh karena itu, diperlukan sistem informasi manajemen berbasis web untuk mempermudah transaksi, pemesanan, dan layanan lainnya. Tasbihastore juga menerapkan Customer Relationship Management (CRM) guna meningkatkan loyalitas dan komunikasi dengan pelanggan. Sistem ini dirancang menggunakan UML, dibangun dengan PHP dan MySQL, serta diuji menggunakan Blackbox Testing. Fitur tambahan seperti payment gateway untuk memfasilitasi pembayaran online dan notifikasi WhatsApp untuk menginformasikan status pesanan juga diterapkan, guna meningkatkan kemudahan dan kepuasan pelanggan dalam bertransaksi.Kata kunci: CRM, Payment Gateway, Notifikasi WhatsApp Abstract -  Tasbihastore is a store that sells hijabs and Muslim women's accessories, offering online ordering and delivery services to customers. It is located in Desa Karangnongko, RT/04 RW/04, Nalumsari District, Jepara Regency. Currently, service processes are still conducted manually, from transactions to order recording. Therefore, a web-based management information system is needed to streamline transactions, ordering, and other services. Tasbihastore also implements Customer Relationship Management (CRM) to enhance customer loyalty and communication. The system is designed using UML, developed with PHP and MySQL, and tested using Blackbox Testing. Additional features such as a payment gateway to facilitate online payments and WhatsApp notifications to update order statuses are implemented to improve convenience and customer satisfaction in transactions.Keywords: CRM, Payment Gateway, WhatsApp Notification
Implementasi Sistem Pakar Pendeteksi Tingkat Kecanduan Gadget Menggunakan Metode Certainty Factor Silvia Himmatul Aliyyah; Diana Laily Fithri; Yudie Irawan
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 1 (2025): Februari 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i1.8731

Abstract

Abstrak - Kecanduan gadget menjadi masalah yang semakin serius di era digital, terutama dikalangan mahasiswa. Kecanduan ini dapat mempengaruhi produktivitas, kesehatan mental, dan hubungan sosial. Tujuan dari penelitian ini adalah untuk menghasilkan sistem pakar yang dapat mendeteksi tingkat kecanduan gadget dengan menggunakan metode certainty factor berdasarkan kondisi yang dirasakan melalui uji kompetensi dengan variabel self-control dan ketakutan ketinggalan informasi. Setelah diterapkan, hasil akurasi penerapan metode certainty factor menunjukkan nilai persentase 61% sebagai kecanduan rendah. Evaluasi pengguna melalui kuisioner menghasilkan 83,1% yang artinya aplikasi ini bermanfaat dengan fungsionalitas yang baik. Hasil dari diagnosa kecanduan dapat digunakan oleh psikolog untuk memberikan tindak lanjut yang tepat. Pengujian sistem telah menunjukkan bahwa penerapan metode certainty factor memberikan hasil yang akurat dan relevan dengan situasi pengguna. Diharapkan sistem ini juga dapat membantu lembaga pendidikan dan praktisi kesehatan mental dalam mengidentifikasi dan menangani masalah kecanduan gadget secara efektif.Kata kunci: Sistem Pakar, Diagnosa, Certainty Factor, Kecanduan Gadget, Mahasiswa Abstract  - Gadget addiction is becoming an increasingly serious problem in the digital era, especially among students. This addiction can affect productivity, mental health, and social relationships. The aim of this research is to produce an expert system that can detect the level of gadget addiction using the certainty factor method based on conditions felt through competency tests with self-control variables and fear of missing out on information. After implementation, the accuracy results of applying the certainty factor method show a percentage value of 61% as low addiction. User evaluation via questionnaire resulted in 83.1%, which means this application is useful with good functionality. The results of an addiction diagnosis can be used by psychologists to provide appropriate follow-up. System testing has shown that the application of the certainty factor method provides accurate and relevant results to the user's situation. It is hoped that this system can also help educational institutions and mental health practitioners in identifying and treating gadget addiction problems effectively.Keywords: Expert Systems, Diagnosis, Certainty Factor, Gadget Addiction, Students
Sistem Penjualan dan Pre-Order Produk Fashion Berbasis Web dengan Menggabungkan Metode Weighted Product (WP) dan Reorder Point (ROP) pada Toko Azzahra Kids Wear Indana Fauzul Ula; Fajar Nugraha; Yudie Irawan
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 4 (2025): Agustus 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i4.9286

Abstract

Abstrak - Proses penjualan dan pre-order yang masih dilakukan secara manual di Toko Azzahra Kids Wear telah menyebabkan ketidakefisienan dalam pencatatan, pengelolaan stok, serta evaluasi kinerja reseller. Penelitian ini bertujuan untuk merancang dan membangun sistem berbasis web yang mengotomatisasi proses penjualan dan pre-order, menilai kinerja reseller secara objektif menggunakan metode Weighted Product (WP), serta menentukan waktu optimal pemesanan ulang menggunakan metode Reorder Point (ROP). Sistem dikembangkan dengan pendekatan prototype dan diuji menggunakan metode blackbox. Hasil menunjukkan bahwa seluruh fitur berjalan sesuai fungsinya, dan metode WP berhasil mengidentifikasi reseller terbaik dengan nilai tertinggi sebesar 3,26. Sistem ini terbukti meningkatkan akurasi pencatatan, efisiensi operasional, dan mendukung pengambilan keputusan dalam pengelolaan stok serta penilaian performa reseller.Kata Kunci : Penjualan; Pre-order; Weighted Product; Reorder Point; Sistem Berbasis Web; Abstract - The manual sales and pre-order process at Azzahra Kids Wear has led to inefficiencies in record-keeping, stock management, and the evaluation of reseller performance. This study aimed to design and develop a web-based system to automate sales and pre-order activities, objectively assess reseller performance using the Weighted Product (WP) method, and determine optimal reorder timing through the Reorder Point (ROP) method. The system was developed using a prototype approach and tested using the blackbox method. Results indicated that all features functioned correctly, and the WP method successfully identified the top-performing reseller with a score of 3.26. The system improved data recording accuracy, operational efficiency, and supported decision-making in stock management and reseller evaluation.Keywords: Sales; Pre-order; Weighted Product; Reorder Point; Web-Based System;
Implementasi Sistem Informasi Pengelolaan Obat dan Barang Apotek Berbasis Web pada Apotek Sehati Demak Indriyani, Sofiatul; Irawan, Yudie
Al-DYAS Vol 5 No 1 (2026): FEBRUARI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v5i1.8319

Abstract

The management of medicines and supplies in pharmacies is a crucial aspect of ensuring the quality of health services; however, in many medium-scale pharmacies, including Apotek Sehati Demak pharmacy, inventory administration processes are still carried out manually, which can lead to recording errors, delays in reporting, and low operational efficiency. This study aimed to implement and evaluate a web-based drug management information system accompanied by an educational approach to improve the efficiency, accuracy, and transparency of pharmacy administration. An applied qualitative approach with a Participatory Action Research (PAR) model was used, involving stages of needs analysis, system design and development, implementation, user training, and ongoing accompaniment, with five pharmacy staff members selected purposively as participants. The system was developed using PHP and MySQL and includes features for recording incoming and outgoing drugs, stock management, monitoring expiration dates, and generating digital distribution invoices. The findings show an increase in the speed of administrative processes, a reduction in stock recording errors, decreased data duplication, and improved consistency and transparency in inventory reporting, while training and accompaniment were found to enhance users’ competence and readiness to adopt the system sustainably. The study concludes that the implementation of a web-based drug management information system using a participatory approach is effective in supporting the digitalization of administration in medium-scale pharmacies. The implications of this research affirm that the integration of system development with human resource capacity building is a key determinant of successful digital transformation in the health service sector.
Transformasi Digital Pembelajaran melalui Koding dan AI di SMP N 2 Karanganyar Triyanto, Wiwit Agus; Irawan, Yudie; Susanti, Nanik
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 1 (2026): Edisi Januari - April
Publisher : Lembaga Dongan Dosen

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

Abstract

Transformasi digital pendidikan menuntut kesiapan guru dalam mengintegrasikan koding dan kecerdasan artifisial (AI) ke dalam pembelajaran. Permasalahan utama di SMP Negeri 2 Karanganyar Demak adalah rendahnya literasi koding dan pemahaman AI guru, serta belum optimalnya pemanfaatan fasilitas TIK dalam mendukung Kurikulum Merdeka. Kegiatan ini menawarkan solusi melalui pelatihan dan pendampingan partisipatif berbasis workshop, blended learning, serta implementasi pembelajaran berbasis proyek. Program dilaksanakan dalam tiga tahap: asesmen awal (pretest), peningkatan kapasitas melalui praktik terstruktur, dan pendampingan implementasi di kelas disertai evaluasi (posttest). Sebanyak 29 guru terlibat sebagai peserta utama dan 504 siswa sebagai penerima manfaat tidak langsung. Hasil evaluasi menunjukkan peningkatan rata-rata kompetensi guru sebesar 38% berdasarkan skor pretest–posttest. Seluruh peserta berhasil menghasilkan proyek koding sederhana, dan 82% guru menyusun modul ajar terintegrasi AI. Implementasi di kelas berdampak pada meningkatnya keterlibatan, kreativitas, dan kolaborasi siswa. Luaran kegiatan berupa modul digital, video tutorial pembelajaran, serta terbentuknya komunitas guru digital sebagai strategi keberlanjutan. Program ini menegaskan bahwa penguatan kapasitas guru merupakan kunci akselerasi transformasi digital sekolah yang adaptif dan berkelanjutan.
Penerapan Metode Buffer Stock dalam Prediksi Ketercukupan Bahan Baku Elsa Violina Damayanti; Muhammad Arifin; Syafiul Muzid; Yudie Irawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 3 (2023): Maret 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.5140

Abstract

UD. Elvajaya has sales and purchases of stock of bag raw materials, but until now UD. Elvajaya experienced difficulties in terms of predicting or estimating the calculation of raw materials according to incoming orders. Raw materials often experience advantages and disadvantages in the ongoing process of making bags, causing service to customers to experience delays in the process of making and shipping goods to be delayed. The absence of proper calculations when there is an incoming order results in an unstable stock of raw materials with the number of incoming orders. In making raw material reports, books are still used as storage so that raw materials are not controlled. This study proposes the application of the buffer stock method to overcome existing problems. With the existence of a prediction system for the adequacy of raw materials using the buffer stock method, it can assist in the process of calculating raw materials to be purchased according to incoming orders so as to reduce the risk of stock shortages in the ongoing manufacturing process. The buffer stock method has several advantages, namely, minimizing risks in production regarding insufficient raw materials, being able to handle ordering requests with quite a large number. With this system, it is hoped that the problems faced by UD owners can be resolved. This research produces a prediction of how many raw materials will be issued for the following month by looking at the bag orders in the previous month. UD.Elvajaya produces 1440 cm of Buffer Stock for fabric raw materials, 1440 cm of zippers, 2160 cm of hose, 2160 cm of bisban, 15 threads, and 44 zipper heads. 
Sentiment Analysis of Free Nutritious Meal Programs Using Naïve Bayes on Platforms X and TikTok Fadila Ullul Azmie; Yudie Irawan; R.Rhoedy Setiawan
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1112

Abstract

This study analyzes public sentiment toward the Free Nutritious Meal Program (MBG) using the Multinomial Naive Bayes algorithm on data from X (Twitter) and TikTok. A total of 5,173 entries were collected through web scraping and processed with cleaning, normalization, tokenization, stopword removal, and stemming. To address class imbalance, SMOTE was applied, and evaluation employed accuracy, precision, recall, F1-score, and AUC-ROC. Results show that without SMOTE, the model tended to be biased toward the majority class, especially on TikTok, while after SMOTE recall increased significantly and a better balance between precision and recall was achieved. On Twitter, performance was more stable with a moderate class distribution, and SMOTE further improved sensitivity to positive sentiment. Word cloud analysis revealed differences across platforms: TikTok leaned more toward negative sentiment with dominant words such as “racun,” “korupsi,” and “dapur,” while Twitter showed a stronger balance with positive terms like “gizi,” “gratis,” and “program.” These findings highlight the importance of cross-platform analysis to comprehensively understand public perceptions.
An Integrated Safety Stock and Net Promoter Score System for Inventory and Customer Loyalty Badruzzaman, Arya Putra; Irawan, Yudie; Adiyono, Soni
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.33557

Abstract

Manual and separate inventory management and customer loyalty monitoring often lead to information delays, record-keeping errors, low operational efficiency, and an unmonitored relationship between stock availability and customer perception. The aim of our research was to develop a web-based sales and loyalty information system that integrates Safety Stock and Net Promoter Score (NPS) methods into a single decision support framework. Our research is a study of system development using the Waterfall model, which includes the stages of requirements analysis, system design, implementation, testing, and maintenance, supported by use cases and activity diagrams. The findings of this study are an integrated system that is able to calculate minimum stock levels, safety stocks, risk of stock-outs, and display real-time NPS visualizations. The test results obtained through black box testing on system access, inventory processing, and NPS reporting show that all key functions are running well and to specification. The implications of this study suggest that the proposed system can improve inventory accuracy, reduce the risk of stock shortages, improve operational efficiency, and support objective, responsive, and sustainable managerial decision-making for small and medium-sized distributors through an integrated and reliable information system.
Mapping Digital Sentiment Landscapes of Hotel Reviews: A Machine Learning-Based Cross-Platform Analysis Ridwan, Muhammad Kholid; Irawan, Yudie; Setiawan, Raden Rhoedy
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.33701

Abstract

The expansion of online travel agencies (OTAs) has produced large volumes of user-generated hotel reviews, offering important resources for sentiment analysis of consumer perceptions. However, prior studies largely rely on single-platform datasets and focus on classification performance, with limited attention to cross-platform sentiment consistency and the impact of data imbalance. This study aims to analyse and compare sentiment patterns across Traveloka, Tiket.com, and Accor, while evaluating a machine learning framework under imbalanced data conditions. This study adopts a quantitative experimental design using 3,000 Indonesian-language reviews collected via web scraping. The independent variable is reviewing text, and the dependent variable is sentiment classification (positive/negative). Data were preprocessed and transformed using TF-IDF, and classified using Multinomial Naïve Bayes, with performance evaluated by accuracy, precision, recall, and F1-score. The results show that positive sentiment consistently dominates across all platforms, with Accor achieving the highest performance, followed by Tiket.com and Traveloka. However, very high recall values for the positive class indicate substantial class imbalance, which biases predictions and reduces sensitivity to negative sentiment. This study provides empirical evidence of cross-platform sentiment consistency and highlights the importance of addressing data imbalance in sentiment modelling.
Pendampingan Upgrade CMS dan Pelatihan Pengoperasian CMS Sekolahku.web.id pada SMP N 2 Karanganyar Demak Susanti, Nanik; Irawan, Yudie; Muzid, Syafiul; Handayani, Putri Kurnia; Supriyati, Endang
Muria Jurnal Layanan Masyarakat Vol. 6 No. 1 (2024): Maret 2024
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/mjlm.v6i1.11384

Abstract

The use of school websites as a means of supporting the teaching and learning process as well as promotional media is still very necessary, considering that teachers and students are able to easily access materials and teaching materials without being limited by place and time. So that the student learning process is more flexible and can be done at any time. The use of websites and social media can encourage the effectiveness of the learning and teaching process in schools. So the process of providing materials and teaching materials by teachers needs to be maintained. The existence of the official website at SMP N 2 Karanganyar Demak has supported the online learning process, especially during the Covid-19 pandemic, apart from being an information service and promotional tool. However, currently the official website of SMP N 2 Karanganyar Demak is experiencing problems in development. Therefore, it is necessary to increase the capacity of the official website by replacing the Balitbang CMS with the Sekolahku.web.id CMS which has currently been developed and used by many schools in the archipelago. CMS Sekolahku.web.id has more features and is more flexible in its management.
Co-Authors Aderochman, Itsnain Nur Aditya, Ahsanu 'Amala Adiyono, Soni Andy Prasetyo Utomo Arif Setiawan Arifviando, Muhammad Villa Aris Sugiharto Badruzzaman, Arya Putra Bagus Deva Pratama, Mohammad Chalim, Noor Diana Laily Fithri Dwi Puspitasari Dwi Puspitasari Eko Darmanto Elsa Violina Damayanti Endang Supriyati Endhito Hafiz Meifaza Fadila Ullul Azmie Fajar Nugraha Farhan, Faris Ahmad Fitri Budi Suryani, Fitri Budi Hakim, Adam Fathul Hikhmah, Fitria Nurul Ida Siti Marfuah Ina Kusumawardani Alina Fakhri Indana Fauzul Ula Indriyani, Sofiatul Janah, Susi Nor Kalya Agil Prasetya Kurniawan, Aldhi Ari Kurniawan, Rizky Dwi Lukito, Aji Marchela Tri Amanda Mimbar Maulana, Bintang Sultan Mochammad Imron Awalludin Mohammad Rosul Mubarrizi, Nor Muhammad Muhamad Sholikhudin Muhammad Arifin Muhammad Rizqi Pradana Mustafid Mustafid Nanik Susanti Nesicha, Yutia Nia Noor Latifah Noor Latifah Nurya Herlina Sari Pratomo Setiaji Pratomo Setiaji Priyambodo, Ragil Putri Kurnia Handayani R Rhoedy Setiawan R.Rhoedy Setiawan Rahmatika, Alifia Ayu Rahmawati, Amelia Rahmawati, Yulinda Ridwan, Muhammad Kholid Rinata, Arba Romadhon, Zainur Savitri Wanabuliandari Setiawan, Raden Rhoedy Silvia Himmatul Aliyyah Syafiul Muzid Taufiq, Muhammad Bagas Vika Aulia Munawaroh Widhiarta, Faris Widiyatmoko, Fahmi Agung Wiwit Agus Triyanto Zulfa Himmatul Ulya Zuyyina Syarifa Yahya