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All Journal Semantik Jurnal Simetris Jurnal Sains dan Teknologi Prosiding SNATIF Jurnal Edukasi dan Penelitian Informatika (JEPIN) Seminar Nasional Informatika (SEMNASIF) Proceeding SENDI_U Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL ILMIAH INFORMATIKA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal DISPROTEK JSiI (Jurnal Sistem Informasi) Jurnal Nasional Komputasi dan Teknologi Informasi JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal SITECH : Sistem Informasi dan Teknologi Jurnal Teknologi Informasi dan Pendidikan bit-Tech Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Information Technology Ampera JoMMiT : Jurnal Multi Media dan IT ABDIPRAJA (Jurnal Pengabdian kepada Masyarakat) Jurnal Abdi Masyarakat Indonesia International Journal of Management Science and Information Technology (IJMSIT) Muria Jurnal Layanan Masyarakat Jurnal Minfo Polgan (JMP) Jurnal Locus Penelitian dan Pengabdian Jurnal Teknik Informatika Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Algoritma Journal of Scientech Research and Development Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Teknik Indonesia Jurnal Sistem Informasi dan Manajemen Prosiding Seminar Nasional Unimus Media Elektrik Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Journal of Vocational, Informatics and Computer Education ABDINE :Jurnal Pengabdian Masyarakat
R Rhoedy Setiawan
Universitas Muria Kudus
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IMPLEMENTASI SISTEM MANAJEMEN POSYANDU MAWAR PASURUHAN KIDUL JATI KUDUS BERBASIS WEB DENGAN METODE ANALISIS MEAN UNTUK MONITORING PENYAKIT BALITA Santy, Nawal Ari; Arifin, Muhammad; Setiawan, Rhoedy
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 7 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i7.4084

Abstract

Posyandu Mawar, yang terletak di Desa Pasuruhan Kidul, Kecamatan Jati Kudus, memiliki peran penting dalam pemantauan tumbuh kembang balita dan kesehatan ibu. Namun, Posyandu ini menghadapi beberapa kendala, seperti ketidaksiapan dalam menghadapi penyakit musiman, kekurangan obat-obatan saat pergantian cuaca, serta pencatatan data kesehatan balita yang masih dilakukan secara manual. Pencatatan manual ini berisiko terhadap kehilangan dan ketidaksesuaian data, sehingga menyulitkan pemantauan perkembangan kesehatan balita. Selain itu, Posyandu juga kesulitan dalam menganalisis data kesehatan secara berkala dan tidak memiliki sistem yang dapat mengidentifikasi rata-rata penyakit yang terjadi pada balita. Untuk mengatasi masalah ini, penelitian ini mengusulkan implementasi sistem manajemen Posyandu berbasis web. Penelitian ini menggunakan metode SDLC Waterfall untuk mengembangkan sistem manajemen berbasis web dengan metode analisis mean untuk monitoring penyakit balita. Sistem ini diharapkan dapat menggantikan pencatatan manual, mempercepat pengumpulan dan analisis data kesehatan secara real-time, serta mempermudah akses informasi bagi orang tua, sehingga meningkatkan pelayanan kesehatan balita secara lebih tepat dan terukur.
Sistem Informasi Pengelolaan DBHCHT berbasis web dengan metode Waterfall di Dinas Kominfo Kabupaten Jepara Fatmala, Indah; Setiawan, R. Rhoedy
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 3 (2025): Edisi Juli - September
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i3.6434

Abstract

Pengelolaan Dana Bagi Hasil Cukai Hasil Tembakau (DBHCHT) di Kabupaten Jepara masih dilakukan secara manual, sehingga menimbulkan berbagai permasalahan seperti kesalahan pencatatan, keterlambatan pelaporan, dan kurangnya integrasi data antar perangkat daerah. Permasalahan ini berisiko menghambat transparansi dan akuntabilitas pengelolaan dana publik. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk membangun sistem informasi berbasis web yang mampu meningkatkan efisiensi pencatatan dan pelaporan DBHCHT di Dinas Komunikasi dan Informatika (Diskominfo) Jepara. Metode pengembangan yang digunakan adalah model rekayasa perangkat lunak Waterfall yang terdiri dari tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Hasil dari kegiatan ini adalah sistem informasi yang memungkinkan pengguna (admin dan operator perangkat daerah) untuk mengelola data DBHCHT berdasarkan struktur kode hierarkis sesuai PMK No. 72 Tahun 2024, serta mencetak laporan kegiatan per tahun anggaran. Sistem telah diuji melalui uji fungsional dan uji coba pengguna, dengan hasil memuaskan dari sisi kemudahan penggunaan dan kecepatan akses data. Hasil pengabdian ini penting karena berkontribusi langsung dalam digitalisasi pelayanan publik dan mendukung transparansi pengelolaan dana pemerintah daerah
OPTIMASI SISTEM INFORMASI PENGELOLAAN DATA KESEHATAN PEGAWAI PADA UNIT P3K PT KEBON AGUNG PG TRANGKIL MENGGUNAKAN METODE AGILE DENGAN PENDEKATAN SCRUM Rahmawati, Yulinda; Setiawan, R. Rhoedy; Irawan, Yudie; Setiaji, Pratomo
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10194

Abstract

This study is entitled “Optimization of Employee Health Data Management Information System at P3K Unit PT Keon Agung PG Trangkil Using Agile Method with Scrum Approach”. This study aims todevelop an integrated and flexible informastions system to manage employee healrt data. With agile method with Scrum approach, the system is developed in stages through Sprint, adjusted ased on user feedback. The system is designed to record examination data, classify results into mild and severe diseases, and process referrals for severe disease cases. The development results show increased efficiency, accuracy of recording, and support management in making decisions related to employee welfare
Decision Support System Application for Determining Nutritional Status of Toddlers at Winong Community Health Center Using the KNN Method Arifviando, Muhammad Villa; Irawan, Yudie; Setiawan, R. Rhoedy
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.982

Abstract

Toddler nutrition issues are an important issue in public health because they affect children's physical and cognitive growth and development. The process of assessing nutritional status which is still done manually in health centers, such as in Winong Community Health Center, is often inefficient and prone to errors. This study aims to develop a web-based decision support system that can automatically classify toddler nutritional status based on age, weight, and height data. This system is built using the CRISP-DM approach as a development methodology and the KNN algorithm as a classification method. The benchmark data for nutritional status refers to the standards of the Ministry of Health of the Republic of Indonesia. The test results show that the system is able to classify nutritional status into categories of good nutrition, malnutrition, and excess nutrition with a satisfactory level of accuracy. The system also provides easy access and speed in the decision-making process for health workers. In conclusion, this system is effective in helping health centers monitor toddler nutritional status quickly, accurately, and efficiently based on valid data.
Implementation of the Crisp-Dm Methodology and Naive Bayes Algorithm on A Raw Material Requirement Prediction System to Reduce Food Waste (Case Study: Adamsafee Bakery, Resto, & Cafe) Hakim, Adam Fathul; Irawan, Yudie; Setiawan, R. Rhoedy
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.990

Abstract

Accurate forecasting of raw material requirements is critical for culinary businesses to reduce food waste and optimize costs. In the case of Adamsafee Bakery, Resto, & Cafe, high levels of waste have been caused by reliance on intuition-based forecasting, resulting in both overstocking and understocking. This study develops a web-based predictive system using the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology and the Naive Bayes algorithm to classify demand patterns into three categories: high, medium, and low. Historical sales data were transformed into categorical attributes and processed through the Naive Bayes model to generate demand predictions. The system was evaluated by comparing predicted sales with actual outcomes. Results show that the model achieved an accuracy of 98.7% and a mean absolute percentage error (MAPE) of 1.31%, indicating that the forecasts closely aligned with real sales performance. These findings demonstrate the effectiveness of the Naive Bayes algorithm in supporting data-driven decision-making for inventory management. This data-driven approach replaces subjective decision-making, enabling management to optimize inventory, minimize food waste, and enhance operational efficiency and business sustainability, while also offering a baseline for future research using alternative machine learning algorithms.
Implementation of Safety Stock and ROP Methods in the Inventory Information System of Kava Kudus Coffee Shop Taufiq, Muhammad Bagas; Setiawan, R Rhoedy; Irawan, Yudie
Sistemasi: Jurnal Sistem Informasi Vol 14, No 6 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i6.5541

Abstract

Manual stock management, particularly through paper based record keeping, remains a challenge for culinary businesses such as Kava Coffee Shop in Kudus. Issues such as inaccurate records, delayed reordering, and the absence of notifications for expired or damaged ingredients can lead to stockouts or overstocking. This study aims to design a web-based inventory information system incorporating the Safety Stock and Reorder Point (ROP) methods to optimize the management of perishable raw materials. The system was developed using the Waterfall model, covering requirements analysis, design with Use Case and Activity Diagrams, feature implementation, and testing through the Black-box method. Key system features include minimum stock notifications, expiration tracking, transaction management, and damaged goods returns. Testing results show that the system performs according to specifications, achieving a 100% success rate across functional scenarios. Compared to previous studies, this system demonstrates superiority by being web-based, focusing on perishable goods, and offering integrated features. Therefore, the system can enhance record accuracy, accelerate decision-making, and ensure the availability and quality of raw materials at Kava Coffee Shop.
Web-Based Academic Information and Monitoring System at Kudus State Madrasah Ibtidaiyah Putri, Sevara Humaira; Rhoedy Setiawan; Yudie Irawan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 1 (2025): September 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i1.9070

Abstract

This research is based on the needs of Madrasah Ibtidaiyah Negeri Kudus to improve communication and academic management in the digital age. The main issues raised are suboptimal grade recording systems, absenteeism, and the rapid and structured dissemination of important information. The objective of this research is to create and develop a web-based academic information system that can be monitored via WhatsApp. This system will enable teachers, parents, and school administrators to easily access information. The Waterfall software development model, which consists of the stages of needs analysis, design, implementation, testing, and maintenance, is the methodology used in this research. Data was collected through interviews and direct observation of academic activities on the school campus. This system enables the recording of student grades and attendance data on a daily basis. It also allows parents to receive automatic notifications about learning activities, class schedules, and other important information. This research resulted in a web-based application that has the ability to improve academic recording and reporting, enhance communication between schools and parents, and support real-time transparency of academic information. By using this system, the State Elementary School in Kudus is expected to be better prepared to face the digital transformation occurring in the world of education.
Perbandingan Algoritma SVM dan Naive Bayes dalam Klasifikasi Sentimen pada Ulasan Aplikasi Traveloka dan Agoda Amelia, Dwi; Setiaji, Pratomo; Setiawan, R Rhoedy
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 2 (2025): Volume 11 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i2.96869

Abstract

Pada era Revolusi Industri 4.0, aplikasi seluler mempermudah masyarakat dalam melakukan pemesanan perjalanan, mencari informasi, membandingkan harga, hingga memanfaatkan promosi. Salah satu indikator penting dalam mengevaluasi kualitas layanan aplikasi adalah rating dan ulasan pengguna di platform seperti Google Play Store. Oleh karena itu, analisis sentimen menjadi sangat relevan untuk menggali persepsi pengguna terhadap suatu layanan. Melalui analisis sentimen, perusahaan dapat mengidentifikasi ulasan positif, negatif, dan netral sebagai dasar untuk meningkatkan kualitas layanan, membangun reputasi, dan meningkatkan loyalitas pelanggan. Penelitian ini menggunakan data ulasan pengguna dari aplikasi Traveloka dan Agoda yang diambil melalui teknik web scraping di Google Play Store menggunakan Google Colab. Data yang diperoleh kemudian diproses melalui tahapan preprocessing, meliputi: normalisasi, pembersihan data (cleansing), pelabelan (labeling), case folding, tokenisasi, penghapusan stopword, stemming, serta pembobotan kata menggunakan metode Bag-of-Words (BoW) dan Term Frequency-Inverse Document Frequency (TFIDF). Setelah itu, proses klasifikasi sentimen dilakukan menggunakan dua algoritma, yaitu Support Vector Machine (SVM) dan Naïve Bayes (NB), dengan tiga kategori sentimen: positif, negatif, dan netral. Hasil pengujian menunjukkan bahwa algoritma SVM berhasil mencapai akurasi tertinggi sebesar 92%, khususnya dalam mengklasifikasikan ulasan dengan sentimen positif dan negatif. Sementara itu, algoritma Naïve Bayes menghasilkan akurasi maksimal sebesar 96% pada dataset tertentu dan menunjukkan kinerja lebih stabil dalam mengenali sentimen netral. Oleh karena itu, pemilihan algoritma terbaik dapat disesuaikan dengan fokus kebutuhan analisis sentimen yang ingin dicapai.
Sistem Pendukung Keputusan Pengajuan Bantuan Langsung Tunai Dana Desa dengan Metode TOPSIS di Desa Kalipucang Kulon Dimas Yoga Ardyansyah; Arif Setiawan; R Rhoedy Setiawan
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 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.v8i3.9100

Abstract

Abstrak - Desa Kalipucang Kulon menghadapi permasalahan dalam penentuan calon penerima Bantuan Langsung Tunai (BLT) Dana Desa akibat keterbatasan sumber daya manusia, yang menyebabkan ketidaktepatan sasaran dan menimbulkan persepsi negatif di masyarakat. Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Pendukung Keputusan (SPK) berbasis metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) guna meningkatkan objektivitas dan transparansi proses seleksi calon penerima bantuan. Sistem yang dibangun menggunakan sejumlah kriteria seperti tingkat kemiskinan, kehilangan pekerjaan, keberadaan anggota keluarga rentan, dan status bantuan lain. Hasil implementasi menunjukkan bahwa metode TOPSIS berhasil mengurutkan alternatif secara akurat dan membantu perangkat desa dalam pengambilan keputusan yang tepat sasaran. Sistem juga terbukti meningkatkan efisiensi kerja dan kepercayaan masyarakat melalui fitur transparansi yang dapat diakses publik.Kata Kunci : BLT Dana Desa; sistem pendukung keputusan; TOPSIS; pengambilan keputusan; bantuan sosial. Abstract - Kalipucang Kulon Village faces problems in determining prospective recipients of Direct Cash Assistance (BLT) Village Funds due to limited human resources, which causes inaccuracy in targeting and creates negative perceptions in the community. This study aims to design and implement a Decision Support System (DSS) based on the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to improve the objectivity and transparency of the selection process for prospective recipients of assistance. The system built uses a number of criteria such as poverty levels, job loss, the presence of vulnerable family members, and other assistance status. The implementation results show that the TOPSIS method successfully sorts alternatives accurately and assists village officials in making decisions that are right on target. The system has also been shown to increase work efficiency and public trust through transparency features that can be accessed by the public.Keywords: BLT Village Funds; decision support system; TOPSIS; decision making; social assistance.
Sistem Informasi Perkiraan Persediaan Barang Bangunan dengan Metode Least Square pada Toko Podo Joyo Kudus Berbasis Web Elyza Dewi Fortuna; Muhammad Arifin; R Rhoedy Setiawan
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.v8i4.9714

Abstract

Abstrak - Toko Podo Joyo merupakan unit dagang yang bergerak di bidang penjualan bahan bangunan. Pengelolaan persediaan barang yang dilakukan masih manual, yang mengakibatkan sering terjadinya permasalahan seperti kekurangan atau kelebihan stok sehingga mempengaruhi pendapatan yang merugikan pihak toko. Penelitian ini bertujuan untuk merancang sistem perkiraan persediaan barang berbasis web menggunakan metode Least Square. Metode ini dipilih karena mampu memprediksi data berdasarkan tren historis dengan regresi linier, yang menghubungkan variabel bebas (X) dengan variabel terikat (Y) dengan menggunakan Mean Absolute Percentage Error (MAPE) sebagai penguat hasil prediksi. Hasil Implementasi sistem berbasis metode Least Square ini menjadi solusi efektif dalam mendukung aktivitas operasional toko seperti membantu pemilik toko dalam mengambil keputusan terkait jumlah stok barang yang harus disediakan pada periode berikutnya dan dapat menghindari kekosongan maupun penumpukan barang, serta meningkatkan efisiensi dalam pengelolaan persediaan.Kata kunci: Peramalan Persediaan; Least Square; Sistem Informasi; Manajemen Stok; MAPE; Abstract - Podo Joyo Store is a trading unit engaged in the sale of building materials. Inventory management is still manual, resulting in frequent problems such as understocking or overstocking, which negatively impacts the store's revenue. This study aims to design a web-based inventory forecasting system using the Least Square method. This method was chosen because it is able to predict data based on historical trends with linear regression, which connects the independent variable (X) with the dependent variable (Y) using the Mean Absolute Percentage Error (MAPE) to strengthen the prediction results. The implementation of this Least Square-based system is an effective solution in supporting store operational activities, such as assisting store owners in making decisions regarding the amount of stock to be provided in the next period, preventing stockouts or stockpiling, and increasing efficiency in inventory management.Keywords: Inventory Forecasting; Least Square; Information System; Stock Management; MAPE;
Co-Authors - Supriyono Aditia Rasid Adrianus Wayan Dian Adi Pamungkas Ahmad Jazuli Ahmad Jazuli Alvin Rainaldy Hakim Amalia Safitri Amara, Radinda Amelia, Dwi Andy Prasetyo Utomo Annisa Putri Hapsari Anteng Widodo Ardelia Khansa Lathifa Arif Setiawan Arif Setiawan Arifviando, Muhammad Villa Asti Devi Mutiara Khoirun Nisa Aulia Ina Rahma Avin Nuzula Fitranti Bayu Samudro Fadhilah Budi Cahyo Wibowo Budi Gunawan Budi Gunawan Chalim, Noor Dhila Resky Effenti Diana Laily Fithri Diana Laily Fithri Diana Laily Fithri Diana Diana Nur Yasmin Diana, Diana Laily Fithri Dimas Yoga Ardyansyah Djoko Utomo Dwi Septiani Dwi Septiani Dyah Ayu Sukmaningtyas Eko Darmanto Elyza Dewi Fortuna Eviana Hartanti Fadila Ullul Azmie Fajar Nugraha Farel Dani Arfiyan Fatmala, Indah Firdaus, Ricko Muhammad Fitriana Habibullah, Eggy Agusti Hakim, Adam Fathul Herdian Rio Saputro Hidayah, Lisna Hidayat, Muhammad Fariz Azka Hidayatullah, Muhamad Arzak Irawan , Yudie Janah, Susi Nor Jayanti, Septina Dwi Jhany Feronica Ardina Kalya Agil Prasetya Khasan, Nur Akhmad Khoiroh, Zahro Istitho'atul Laily Fithri, Diana Lathifa, Ardelia Khansa Mochammad Imron Awalludin Mohammad Dahlan Muhamad Dimas Firmansyah Muhamad Yuwanda Muhammad Ady Nugroho MUHAMMAD ARIFIN Muhammad Arifin Muhammad Krisza Aditya Muhammad Yusuf Aji Wijaya Mukhamad Nurkamid Noor Latifah Nurul Inayah Nurwijayanti Nurya Herlina Sari Pratiwi Cahyaningtiyas Pratomo Setiaji Putri Kurnia Handayani Putri, Indriani Zabrina Putri, Noor Syafa’ah Kusuma Putri, Sevara Humaira Rahmawati, Yulinda Rasid, Aditia Ratri Rahmawati Reformasiyanto, Mohammad Humam Azka Rizky Muhammad Rizky Maulana Rizkysari Mei Maharani Rizkysari Mei Maharani, Rizkysari Mei Robait Tajuddin Romadhon, Zainur Romadhon, Zainur Rosyada, Mila Santy, Nawal Ari Sari, Luthfiana Semit, Danial Septina Dwi Jayanti Sofian, Ahmad Soni Adiyono Sri Mulyani Sulistiowati Apriliya Eka Wardani Supriyono Supriyono Supriyono Syafiul Muzid Taufiq, Muhammad Bagas Titis Chusnul Mahrom Tri Listyorini Tutik Khotimah Vika Aulia Munawaroh Widiyatmoko, Fahmi Agung Windraningsih Wiwit Agus Triyanto Yudie Irawan Yudie Irawan