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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 RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL ILMIAH INFORMATIKA SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan 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 Journal of Information Technology Ampera Indonesian Journal of Technology, Informatics and Science (IJTIS) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) 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
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 Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

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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.
PELATIHAN SISTEM INFORMASI MANAJEMEN MUSEUM BERBASIS WEB DI MUSEUM KARTINI KABUPATEN JEPARA Endhito Hafiz Meifaza; Yudie Irawan
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 7 No. 3 (2026): Vol. 7 No. 3 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v7i3.57967

Abstract

Perkembangan teknologi informasi mendorong museum untuk meningkatkan efektivitas pengelolaan data dan pelayanan informasi. Museum Kartini Kabupaten Jepara masih menghadapi kendala dalam pengelolaan data yang dilakukan secara manual, sehingga diperlukan solusi berupa sistem informasi manajemen berbasis web. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan pelatihan kepada pengelola museum dalam penggunaan sistem informasi guna meningkatkan kemampuan dalam mengelola data koleksi, data pengunjung, serta penyajian informasi. Metode yang digunakan meliputi analisis kebutuhan, perancangan dan implementasi sistem, pelatihan, pendampingan, serta evaluasi melalui pretest, posttest, dan kuesioner skala Likert. Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta serta respon yang sangat baik terhadap sistem yang diterapkan, terutama dalam aspek kemudahan penggunaan dan manfaat sistem. Dengan demikian, sistem informasi manajemen museum berbasis web mampu meningkatkan efektivitas pengelolaan data serta kualitas pelayanan informasi di Museum Kartini Kabupaten Jepara.
Pengelompokan Permintaan Produk Alat Kesehatan Menggunakan K-Means untuk Jadwal Pembelian Vika Aulia Munawaroh; R Rhoedy Setiawan; Yudie Irawan
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3360

Abstract

Fluctuations in the demand for medical devices can trigger the risk of stock shortages (stockouts) and overstock conditions, which may affect operational costs and the quality of distribution services. This study aims to classify medical device products at CV Patriot Kencana Medika Kudus based on demand patterns and purchasing characteristics, and to map the clustering results as an initial basis for developing purchasing schedules. The data used consist of internal purchasing transaction histories from the 2023–2025 period with four main features: Quantity, Price_Per_Unit, Lead_Time_Days, and Total_Purchase_Value. The methods applied include exploratory data analysis, feature construction and normalization, determination of the optimal number of clusters using the Elbow Method and Silhouette Score, K-Means modeling, and evaluation using the Silhouette Score and Davies–Bouldin Index (DBI). The results indicate that the use of three clusters provides the most reasonable compromise between the inertia reduction pattern, Silhouette value, and managerial interpretability. A Silhouette Score of 0.2563 and a DBI value of 1.349 suggest that the quality of cluster separation remains at a low to moderate level, meaning that the resulting clusters are more appropriately interpreted as an initial segmentation rather than a fully distinct classification. The three clusters formed were interpreted as general products, premium products, and strategic products. The numerical characteristics of each cluster were then used to calculate simple indicators, namely the reorder point (ROP) and economic order quantity (EOQ), as baseline purchasing recommendations. The main contribution of this study lies in integrating clustering results with operational inventory policy parameters, although the findings still need to be interpreted cautiously because they have not yet been compared with other algorithms, their stability has not been tested, and the EOQ model applied remains simplified.
Klasterisasi Kebutuhan Pupuk Bersubsidi Menggunakan Algoritma K-Means dan Elbow Method Nurya Herlina Sari; R.Rhoedy Setiawan; Yudie Irawan
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3361

Abstract

The distribution of subsidized fertilizer at the UD Barokah Tani Kiosk in Pati Regency does not yet meet farmers’ needs due to the manual management of RDKK data. This study aims to cluster subsidized fertilizer needs using the K-Means algorithm, validated by the Elbow Method and Silhouette Score. The data used consists of 1,420 RDKK records for the 2025–2026 period, with variables including land area, UREA_TOTAL, NPK_TOTAL, and the number of commodities. The results indicate that the optimal number of clusters is k = 3, with a Silhouette Score of 0.9192, indicating very high cluster quality. The data is divided into three categories: low, medium, and high, with a dominance in the low to medium categories. This study contributes by comprehensively integrating fertilizer requirement variables and using a combination of the Elbow Method and Silhouette Score to enhance the validity of the clustering results. The clustering results are implemented in a web-based system to support rapid, data-driven analysis and visualization.
Design Perancangan Sistem Informasi Kepramukaan ‘Scout Connect’: Berbasis Aplikasi Mobile Menggunakan Figma Ina Kusumawardani Alina Fakhri; Muhammad Arifin; Yudie Irawan; Arif Setiawan
SemanTIK : Teknik Informasi Vol. 10 No. 2 (2024): SemanTIK : Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v10i2.65

Abstract

Penelitian ini menyajikan pengembangan 'Scout Connect', sebuah aplikasi mobile yang dirancang untuk meningkatkan literasi digital di kalangan Pramuka Penegak dan Pandega di Indonesia. Penelitian ini menjawab kebutuhan akan informasi kepramukaan yang mudah diakses dan dapat diandalkan di era digital. Dengan menggunakan metodologi yang menggabungkan UML untuk desain sistem, MySQL untuk manajemen basis data, dan Figma untuk pembuatan prototipe UI/UX, aplikasi ini menawarkan fitur-fitur seperti forum kolaboratif, konten edukasi, dan modul pembelajaran interaktif. Hasilnya menunjukkan peningkatan yang signifikan dalam literasi digital dan pengetahuan kepramukaan di antara para pengguna, dengan 75% melaporkan peningkatan pemahaman materi kepramukaan setelah satu bulan penggunaan. Studi ini menyimpulkan bahwa 'Scout Connect' secara efektif menjembatani kesenjangan informasi digital dalam pendidikan kepramukaan, mendorong komunitas kepramukaan yang lebih aktif dan terinformasi. Platform inovatif ini sejalan dengan tujuan Gerakan Pramuka Indonesia untuk membina generasi muda yang melek teknologi dan patriotik di abad ke-21. Kata kunci: Scout Connect, literasi digital, aplikasi mobile, e-learning, prototipe Figma.
Co-Authors Aditya, Ahsanu 'Amala Adiyono, Soni Amanda Diyas Setiyoadi Amelia Rahmawati Andy Prasetyo Utomo Ardiansyah Ardiansyah Arif Setiawan Arifviando, Muhammad Villa Aris Sugiharto Arya Putra Badruzzaman aufa hanif Bagus Deva Pratama, Mohammad Chalim, Noor Diana Laily Fithri Dwi Puspitasari Dwi Puspitasari Eko Darmanto Elsa Violina Damayanti Endang Supriyati 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 Imam Munzagi Ina Kusumawardani Alina Fakhri Indana Fauzul Ula Indriyani, Sofiatul Janah, Susi Nor Jhany Feronica Ardina Kalya Agil Prasetya Khilal Arlisna Rahmadani Kurniawan, Aldhi Ari Kurniawan, Rizky Dwi Lukito, Aji Marchela Tri Amanda Mimbar Maulana, Bintang Sultan Mochammad Imron Awalludin Mohammad Rosul Mubarrizi, Nor Muhammad Muhamad Dimas Firmansyah Muhamad Sholikhudin Muhammad Arifin Muhammad Kholid Ridwan 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 Putri Kurnia Handayani R Rhoedy Setiawan R.Rhoedy Setiawan Raden Rhoedy Setiawan Rahmatika, Alifia Ayu Rahmawati, Yulinda Romadhon, Zainur Savitri Wanabuliandari Setiawan, Raden Rhoedy Silvia Himmatul Aliyyah Soni Adiyono Syafiul Muzid Syahrul Bagus Andreyan Taufiq, Muhammad Bagas Vika Aulia Munawaroh Widhiarta, Faris Widiyatmoko, Fahmi Agung Wiwit Agus Triyanto Zulfa Himmatul Ulya Zuyyina Syarifa Yahya