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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTI Nusa Mandiri Jurnal Bakti Masyarakat Indonesia Jurnal Pendidikan, Sains dan Teknologi
Irvan Lewenusa
Universitas Tarumanagara
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Pengembangan aplikasi manajemen stok UMKM rumah makan lesehan Bu Yus Irvan Lewenusa; Farhan Afrial; Teny Handhayani
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 1 (2025): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i1.28372

Abstract

AbstrakUsaha Mikro Kecil dan Menengah (UMKM) merupakan salah satu usaha mikro yang memberdayakan industri rumahan. UMKM Indonesia memiliki kontribusi sebesar 15.8% terhadap rantai pasok produksi global di tingkat ASEAN. Rumah makan Lesehan Bu Yus merupakan rumah makan yang menjual berbagai jenis makanan. Penjualan rumah makan Lesehan Bu Yus di lakukan secara langsung di rumah makan maupun dengan menerima pesanan melalui platform online. Rumah makan ini mengalami kendala dalam pengelolaan stok bahan baku yang masih dilakukan secara manual, sehingga sering terjadi ketidakakuratan data stok. Tujuan kegiatan Pengabdian Kepada Masyarakat (PKM) ini adalah untuk membatu meningkatkan dan mengembangkan UMKM khususnya rumah makan Lesehan Bu Yus yang berlokasi di Jl. Taman Krakatau No. 25 Kabupaten Serang Banten. Metode yang digunakan dalam kegiatan PKM ini meliputi beberapa tahap mengikuti Software Development Life Cycle (SDLC) Agile Scrumn yaitu analisis kebutuhan, perancangan sistem, pengembangan sistem pengujian dan implementasi serta evaluasi. dengan memanfaatkan teknologi informasi mengembangkan sebuah aplikasi Inventory Management Stock (IMS) berbasis web yang dirancang khusus untuk membantu mengelola stok menggunakan metode Economic Order Quantity (EOQ) dan Safety Stock. Hasil dari kegiatan ini menunjukkan bahwa pemanfaatan teknologi informasi dalam pengelolaan stok bahan baku  dapat meningkatkan efisiensi operasional Rumah makan Lesehan Bu Yus, mengoptimalkan biaya pengadaan bahan baku, serta memberikan kontribusi positif dalam pengembangan UMKM melalui penerapan sistem manajemen stok berbasis web. Kata kunci: economic order quantity; inventory management; UMKM; pengabdian masyarakat; safety stock Abstract Micro, Small, and Medium Enterprises (MSMEs) are one of the micro enterprises that empower home industries. Indonesian MSMEs contribute 15.8% to the global production supply chain at the ASEAN level. Lesehan Bu Yus restaurant is a restaurant that sells various types of food. The sales at Lesehan Bu Yus restaurant are conducted directly at the restaurant as well as by receiving orders through online platforms. This restaurant faces challenges in managing raw material stock, which is still done manually, leading to frequent inaccuracies in stock data. The objective of this Community Service (PKM) activity is to help improve and develop MSMEs, specifically the Lesehan Bu Yus restaurant located at Jl. Taman Krakatau No. 25, Serang Regency, Banten. The method used in this community service activity includes several stages following the Software Development Life Cycle (SDLC) Agile Scrum, namely requirement analysis, system design, system development, testing, implementation, and evaluation. by utilizing information technology to develop a web-based Inventory Management Stock (IMS) application specifically designed to help manage stock using the Economic Order Quantity (EOQ) and Safety Stock methods. The results of this activity show that the use of information technology in managing raw material stock can improve the operational efficiency of Rumah Makan Lesehan Bu Yus, optimize the procurement costs of raw materials, and provide a positive contribution to the development of SMEs through the implementation of a web-based stock management system. Keywords: economic order quantity; inventory management; MSMEs; community service; safety stock
PEMBUATAN APLIKASI PENJUALAN UNTUK TOKO TIO BAGS: Kelvin Wijaya; Teny Handhayani; Irvan Lewenusa; Agus Budi Dharmawan; Desi Arisandi; Wasino; Jeanny Pragantha
Jurnal Bakti Masyarakat Indonesia Vol. 8 No. 3 (2025): Jurnal Bakti Masyarakat Indonesia
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jbmi.v8i3.35670

Abstract

Usaha mikro, kecil, dan menengah (UMKM) memainkan peran penting dalam mendorong pertumbuhan ekonomi nasional. Pemerintah Indonesia memperkuat sektor ini melalui program UMKM Go Digital dan UMKM Go Global, yang mendorong para wirausahawan untuk mengadopsi teknologi digital, khususnya platform e-commerce, untuk pemasaran, transaksi, dan manajemen bisnis. Namun, keterbatasan sumber daya manusia dan tingginya biaya pengembangan aplikasi telah menghambat adopsi digital oleh UKM. Untuk mengatasi tantangan ini, Program Pengabdian Masyarakat (PPM) ini bertujuan untuk mendukung UKM dengan mengembangkan aplikasi penjualan berbasis web untuk toko Tio Bags di Jakarta. Proyek ini menerapkan metode waterfall, yang meliputi fase analisis, desain, implementasi, pengujian, deployment, dan pemeliharaan, dengan menggunakan Visual Studio Code, XAMPP, dan MySQL sebagai alat utama. Sistem ini dirancang untuk tiga jenis pengguna yaitu administrator, pemilik toko, dan pelanggan dengan fungsi untuk mengelola pesanan, penjualan, dan data produk. Hasil implementasi menunjukkan bahwa aplikasi yang dikembangkan secara efektif mengotomatisasi proses pencatatan transaksi dan manajemen data. Inisiatif PKM ini berhasil mencapai tujuannya dengan menyediakan solusi teknologi informasi praktis yang meningkatkan efisiensi operasional dan memberikan kontribusi akademis untuk mendukung transformasi digital UKM di Indonesia.
Perencanaan Sistem Informasi Web Pemesanan Toko Niko Elektrik Gaizka Mendita; Tri Sutrisno; Irvan Lewenusa
Jurnal Pendidikan, Sains Dan Teknologi Vol. 4 No. 3 (2025): Juli-September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpst.v4i3.3096

Abstract

The advancement of information technology has had a significant impact on the business sector, especially in the growth of e-commerce, which provides opportunities for SMEs to increase sales and expand their market reach. Niko Electric Store, founded in 2003 in Jakarta, is one of the SMEs that have adapted to this trend by transitioning to an e-commerce platform to remain competitive. This research focuses on the development of the Niko Electric Store e-commerce website using the System Development Life Cycle (SDLC) methodology, which includes the planning, analysis, design, development, and testing phases. The website is designed to facilitate customers in accessing products such as LED lights, cables, and power outlets, and offers features such as online shopping, a secure payment system, and responsive customer service. Additionally, promotional campaigns and attractive offers are also integrated to enhance user engagement. This development aims to expand market reach, improve operational efficiency, and simplify customer transactions. By utilizing a structured SDLC approach, this project ensures the quality of the website and user satisfaction. This digital transformation is expected to help Niko Electric Store remain competitive, better meet customer needs, and drive sustainable business growth in the digital era.
Perancangan Dashboard Harga Pangan Di Pulau Jawa Wiyangga Oktaviano; Tri Sutrisno; Irvan Lewenusa
Jurnal Pendidikan, Sains Dan Teknologi Vol. 4 No. 3 (2025): Juli-September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpst.v4i3.3098

Abstract

This study aims to design an interactive dashboard for monitoring and analyzing food prices in Java Island. The dashboard is developed to display real-time information on key food commodity prices, sourced from reliable data providers such as the National Strategic Food Price Information Center (PIHPS). The primary goal is to facilitate information access for the government and the public, enabling more effective decision-making in response to food price fluctuations. The interactive visualization allows users to track trends, identify distribution issues, and predict price changes. This research employs a quantitative approach to analyze price trends and patterns, utilizing Microsoft Power BI for data visualization. Thus, the dashboard is expected to support better decision-making to maintain economic stability and food security in the region.
A New Approach for Dynamic Analysis of Indonesian Food Prices using the PC Algorithm and Vector Autoregression Teny Handhayani; Yudistira Permana; Akmal Farouqi; Naufal Firdausyan; Raffy Sonata; Marcel Yusuf Rumlawang Arpipi; Irvan Lewenusa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 6 (2025): December 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i6.6601

Abstract

Food prices are important global issue and their relationship with fuel prices has become a main concern in society. An increase in the subsidized fuel price on 3 September 2022 has allegedly caused a rise in food (grocery) prices. This paper conducts an empirical study to analyze the relationships between food prices in Indonesia: rice, chicken, beef, egg, red chili, cayenne, shallot, garlic, cooking oil, and sugar. The study uses time series data of food prices from 1 January 2018 to 31 December 2023, which consists of food prices from 87 traditional markets in Indonesia. The commodity prices are obtained from online public data provided by Bank Indonesia. It divides the analysis (pre- and post-3 September 2022) to see how the relationship between food prices changes due to the increase in the subsidized fuel price. It performs the Peter Clark (PC) algorithm to generate causal graphs from real datasets where the true graphs are unknown, complements the analysis by performing Vector Autoregression (VAR) to investigate the dynamic relationship between food prices, especially how the subsidized fuel price increase changes its dynamic relationship. The causal graphs from pre- and post-increasing fuel prices show the changes in the role of variable relationships, e.g., sugar and beef. The VAR results also show an interesting change in the IRF pattern. The results from both the PC algorithm and VAR show that there is a structural change in the relationship between food prices and that there is a different effect of price shock due to the subsidized fuel price increase. It might have been an indication of a change in the consumption pattern in society as a response to a food price increase. This must be a huge task to do in maintaining food prices when there is an adjustment in the subsidized fuel prices.
PERBANDINGAN KINERJA ALGORITMA MACHINE LEARNING UNTUK KLASIFIKASI ISPA MENGGUNAKAN DATA KLINIS RUMAH SAKIT Irvan Lewenusa; Apriyanto Chandra; Tri Sutrisno
INTI Nusa Mandiri Vol. 21 No. 1 (2026): INTI Periode Agustus 2026
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v21i1.8502

Abstract

Acute Respiratory Infection (ARI) remains one of the leading causes of morbidity and mortality worldwide, particularly among children and elderly populations. The complexity of ARI clinical symptoms necessitates rapid and accurate diagnostic approaches to support healthcare services. This study compares the performance of five machine learning algorithms, Logistic Regression, Naïve Bayes, K-Nearest Neighbor, Random Forest, and Gradient Boosting Machine algorithms for ARI classification using clinical hospital data. The study employed a quantitative experimental approach, using 521 outpatient clinical records obtained from XYZ Hospital, Jakarta. The research process included data preprocessing, classification model development, model performance evaluation, and statistical analysis using the Kruskal-Wallis test followed by Dunn's Post Hoc Test with Bonferroni correction. Model performance was assessed using accuracy, precision, recall, and F1-score metrics, which were computed using macro averaging due to the imbalanced class distribution. Statistically significant differences were observed among the algorithms across all evaluation metrics (p < 0,001). Effect size analysis using epsilon squared (ε²) indicated large effects for accuracy (ε² = 0.828), precision (ε² = 0.719), recall (ε² = 0.434), and F1-score (ε² = 0.654). The post hoc analysis indicated that Random Forest and Gradient Boosting Machine showed comparable performance and consistently achieved competitive results across evaluation metrics. These findings suggest that ensemble learning methods are better suited to handling the complex clinical data associated with ARI and could help develop decision support systems for early ARI screening. Future studies should incorporate multicenter datasets, hyperparameter optimization, and explainable artificial intelligence techniques to improve model generalizability and interpretability.
Co-Authors Agus Budi Dharmawan Akmal Farouqi Apriyanto Chandra Desi Arisandi Farhan Afrial Gaizka Mendita Jeanny Pragantha Kelvin Wijaya Marcel Yusuf Rumlawang Arpipi Naufal Firdausyan Raffy Sonata Teny Handhayani Tri Sutrisno Tri Sutrisno Wasino Wiyangga Oktaviano Yudistira Permana