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Sistem Informasi Pembayaran Gaji Karyawan Menggunakan Rapid Application Development (RAD) Berbasis Website pada CV. Handoyo Prabowo, Yohanes Fernando Anom; Sasongko, Ananto Tri; Romli, Ikhsan; Suwarno, Agus; Mardiyana, Mohamad
Jurnal SIGMA Vol 16 No 1 (2025): Juni 2025
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v16i1.6050

Abstract

Gaji merupakan bentuk kompensasi yang diberikan kepada karyawan yang bekerja di suatu perusahaan, dan pengelolaannya memiliki peran penting dalam menjaga semangat kerja karyawan. Di CV. Handoyo, proses penggajian sebelumnya dilakukan menggunakan Microsoft Excel, yang memiliki keterbatasan dalam hal efisiensi dan akurasi. Penelitian ini menganalisis sistem pengolahan data gaji yang ada dan mengusulkan pengembangan aplikasi penggajian menggunakan framework CODEIGNITER dan basis data MySQL. Aplikasi ini bertujuan untuk meningkatkan kualitas layanan dengan menyederhanakan proses penggajian dan pelaporan. Aplikasi ini diimplementasikan sebagai sistem berbasis web menggunakan bahasa pemrograman PHP dan MySQL, sehingga secara signifikan mengurangi waktu yang dibutuhkan untuk perhitungan gaji dan pembuatan laporan, serta meningkatkan efisiensi operasional
Penerapan Kaizen Dengan Pendekatan PDCA Untuk Mengurangi Produk Cacat Komponen Throttle Shaft (THS) Pada Proses Machining Alfian Nur Alim; Agus Suwarno; Ikhsan Romli
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 4 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i4.1320

Abstract

Tingginya cacat produk Throttle Shaft (THS) pada mesin machining di PT XYZ menyebabkan kerugian material dan waktu rework. Penelitian ini bertujuan mengidentifikasi cacat dominan, menganalisis faktor penyebab, dan mengevaluasi efektivitas penerapan metode Kaizen dengan pendekatan PDCA (Plan-Do-Check-Act) dalam mengurangi produk cacat. Jenis penelitian adalah applied research dengan pendekatan mixed methods. Data primer diperoleh melalui observasi dan wawancara, sedangkan data sekunder berasal dari laporan produksi periode Januari–Mei 2024. Analisis data menggunakan Diagram Pareto, Fishbone Diagram, dan 5W+1H. Hasil penelitian menunjukkan bahwa cacat Suriwari seret/kecil merupakan cacat dominan (43,7% dari total 574 cacat). Setelah modifikasi tool dengan penambahan chamfer zig-zag, cacat tersebut turun 98,8% menjadi hanya 3 pcs, dan total cacat turun 43,2%. Penelitian ini memberikan kontribusi ilmiah dalam integrasi Kaizen-PDCA untuk perbaikan kualitas di industri komponen otomotif, serta implikasi praktis berupa peningkatan efisiensi proses dan penguatan disiplin operator. Diharapkan PT XYZ dapat menerapkan pendekatan serupa pada jenis cacat lain dan memperkuat budaya continuous improvement.
PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA K-MEANS UNTUK KLASIFIKASI PENYAKIT ISPA Romli, Ikhsan
Indonesian Journal of Business Intelligence (IJUBI) Vol 4 No 1 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i1.1727

Abstract

With the rapid development of technology in all fields, from the government, education, agriculture and especially in the health sector, technology can provide fast and accurate information for health teams, doctors, nurses and even patients themselves to make it easier to control their own health. Acute Respiratory Infections (ARIs) are diseases of the upper or lower respiratory tract, usually contagious, that can cause a wide spectrum of diseases ranging from asymptomatic illness or mild infections to severe and deadly illness, depending on the causative pathogen, environmental factors and factors host. The purpose of this study was to apply the K-Means method to classify ARI diseases and to obtain accurate and fast accuracy in classifying symptoms of ARI using the K-Means method. The method used is data mining techniques using the K-Means algorithm. This process resulted in 3 clusters, namely cluster C1 (Regular ISPA) with 81 members, cluster C2 (moderate ISPA) with 103 members, and cluster C3 (Heavy ISPA) with 66 members. It can be seen that the largest number of ARI patients are patients with mild ARI symptoms. Based on the results of the percentage analysis for each cluster, the first cluster has a percentage of 35% of data, the second cluster is 45% of data and the third cluster is 20% of data. Testing using the DBI (Davies Bouldin Index) validation obtained values for each cluster. Testing cluster 1 produces DBI value -0.244, cluster 2 DBI value -0.250, cluster 3 DBI value -0.239. Because the DBI value of cluster 3 is smaller, the cluster can be called optimal.
PERANCANGAN DAN IMPLEMENTASI SMART GARDEN BERBASIS INTERNET OF THINGS (IOT) PADA PERUMAHAN CENTRAL PARK CIKARANG Romli, Ikhsan; Nong Hugo, Kristoforus Lensiprimo; Afriantoro, Irfan
Indonesian Journal of Business Intelligence (IJUBI) Vol 4 No 2 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i2.1974

Abstract

Technological developments, especially in agriculture and plantations in era 4.0, have greatly increased over time. One of them is in terms of plant care. Plant care is one of the activities carried out to keep plants fertile and healthy. Moreover, in the dry season plant care is very important to do such as, doing watering periodically in accordance with the right time, and also light lighting must be in accordance with the needs of the plant. In this writing, researchers designed a tool that can respond to and work on commands that have been sent, and also reply to messages about the information displayed on the blynk application. Smart Garden Tools It uses NodeMCU 8266 as a controller as well as a soil moisture sensor as a soil moisture detector, and DHT11 as a temperature and humidity sensor. The results of this study are to minimize the occurrence of damage to plants, make it easier for residents to control and monitor the condition of the house in real time, and also to improve the quality of plants in order to grow properly.
Analisis Defect Produk Ring Piston pada Line B- Ken Melalui Pengendalian Kualitas dengan Metode Six Sigma di PT XYZ Wijaya, Hadi; Maulidani, Bagas Caesar; Romli, Ikhsan
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.54546

Abstract

This study aims to analyze defect rates of ring piston products on Line B-KEN at PT XYZ and formulate quality improvement recommendations using the Six Sigma method. High defect rates, such as cracks, undersize, and oversize, directly impact quality costs and productivity. This applied research employs a quantitative approach through the DMAIC cycle (Define, Measure, Analyze, Improve, Control). Data were collected from 2021–2024 production records, field observations, and interviews. DPMO calculations indicate that process capability is not yet optimal, with cracks identified as the dominant defect. Pareto and fishbone diagram analyses reveal that human, machine, method, and material factors are the primary root causes. Proposed improvements include SOP standardization, operator training, machine parameter control, and strengthened process supervision. Implementing these strategies is expected to reduce defect rates and enhance sustainable production stability.