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Bottleneck Analysis and Improvement in Apparel Manufacturing Production Processes Using Integration Design of Experiments and Discrete Event Simulation
Bottlenecks in apparel manufacturing often cause unbalanced production flows, increased waiting times, and reduced system performance. This study aims to analyze and eliminate bottlenecks by integrating Design of Experiments (DOE) and Discrete Event Simulation (DES). Four workstations (X1–X4) were selected as experimental factors, while system performance was evaluated using bottleneck indicators across six production stages (Y1–Y6). DOE was used to design capacity scenarios, and DES assessed sy...
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Implementasi Sistem Manajemen Inventori dan Aset REA TEHNIK Berbasis Web Menggunakan Framework Laravel
Ramadhan, Aditya Ilham
; Devi, Putri Aisyiyah Rakhma
; Ramadhan, Aditya Ilham
; Devi, Putri Aisyiyah Rakhma
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 30
, No 2
(2026)
Mekanisme administrasi barang pada REA TEHNIK sebelumnya masih mengandalkan cara-cara konvensional melalui pencatatan fisik serta bantuan perangkat lunak Microsoft Excel. Namun, pola kerja tersebut memicu sejumlah hambatan praktis, di antaranya lambatnya akses terhadap informasi stok, risiko diskrepansi data akibat kelalaian input, hingga birokrasi validasi laporan yang memakan waktu lama [1], [2]. Keterbatasan ini mendasari urgensi pengembangan sebuah platform digital yang terintegrasi dan bers...
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Android-Based Tourism Geographic Information System For Blitar Raya Utilizing Google Maps API and Kotlin
Pratama, Dimas Adi
; Santi, Indyah Hartami
; Febrinita, Filda
; Pratama, Dimas Adi
; Santi, Indyah Hartami
; Febrinita, Filda
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 1
(2026)
The limited availability of integrated digital tourism information in Blitar Raya has made it challenging for visitors to plan their travel routes efficiently. This research aims to develop an Android-based Geographic Information System (GIS) that integrates the Google Maps API with the Bellman-Ford algorithm to optimize the shortest travel routes among tourism destinations. The system was developed using the Rapid Application Development (RAD) methodology, emphasizing user involvement through i...
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PHYTOCHEMICAL SCREENING AND ANTIBACTERIAL ACTIVITY OF SOFT CORAL Nephthea sp. EXTRACT ISOLATED AGAINST Escherichia coli
Setyaningrum, Tri Wahyu
; Nurulfadilah
; Candri, Dining Aidil
; Dharmayani, Ni Komang Tri
; Ghazali, Mursal
; Faturrahman
This study aimed to evaluate the antibacterial potential of Nephthea sp. extract against Escherichia coli and to analyze the phytochemical constituents present in Nephthea sp. using various solvents. The extraction process was carried out using the maceration method with three different solvents: n-hexane, ethyl acetate, and methanol. The resulting extracts were analyzed through phytochemical screening and antibacterial activity assays. The results showed that Nephthea sp. extract contained seve...
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Jurnal Sistem Informasi Pengelolaan Inventaris Perangkat Layanan Call Center Berbasis Web pada PT. Mitracomm Ekasarana
Perkembangan teknologi informasi mendorong perusahaan untuk memanfaatkan sistem informasi terkomputerisasi guna meningkatkan efisiensi dan efektivitas operasional. Salah satu permasalahan yang masih sering dihadapi adalah pengelolaan data inventaris yang belum terintegrasi, sehingga menimbulkan kesalahan pencatatan, keterlambatan pelaporan, serta ketidaksesuaian data dengan kondisi aktual. PT. Mitracomm Ekasarana, khususnya unit Mitracomm Ekasarana Business Process Services (MBPS), masih menggun...
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Data-Driven Techno-Behavioral Segmentation of Post-Pandemic Tourists Using TwoStep Cluster Analysis
Post-pandemic tourism is characterized by increasing behavioral heterogeneity as digital technologies reshape travel planning and mobility practices, challenging traditional demographic-based segmentation. This study develops a techno-behavioral, data-driven segmentation framework within the Smart Tourism Ecosystem perspective by conceptualizing digital adoption as a mediating mechanism between socio-demographic attributes and travel behavior. Using survey data from 805 domestic tourists in Yogy...
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Evaluating Civil Servant Selection through Machine Learning Analysis of National Insight, General Intelligence, and Personal Characteristics Test Scores
This study analyzes the score distribution of 2,490 candidates in the 2024 Ministry of Finance Public sector recruitment, focusing on the CNI, GIT, and PCT sections using machine learning classification. Models used include Logistic Regression (accuracy 0.7897), Random Forest (0.9779), and XGBoost (0.9809), all trained with default parameters (n_estimators=100, max_depth=None) and evaluated using accuracy, precision, recall, and F1-score. While ensemble models outperformed Logistic Regression, t...
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Design and Experimental Evaluation o`f a PID Based Ship Rudder Control Prototype Referenced to SOLAS
The Proportional–Integral–Derivative (PID)-based ship rudder control system is an effective method for maintaining a vessel’s heading automatically. This study aims to design and evaluate a ship rudder control prototype in accordance with SOLAS safety standards. The research method employed is Research and Development (R&D), which includes needs analysis, system design, prototype development, and model testing. The cargo ship prototype is equipped with an HMC5883L compass sensor, an Arduino...
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Cam Simulation and Dimensional Verification of CNC-Machined Orthopaedic Femoral Components: Toolpath Optimization and 3D-Scan Metrology
Setyoadi, Yuris
; Rifky Ismail
; Bayuseno, Athanasius Priharyoto
; I Nyoman Jujur
; Novriansyah, Robin
; Darmanto
; Prawibowo, Hartanto
; Anggoro, Paulus Wisnu
This study investigates the optimization of manufacturing femoral components for Total Knee Replacement (TKR) using Computer-Aided Manufacturing (CAM) simulation and 5-axis CNC milling, followed by dimensional verification based on 3D scanning. The machining process was simulated in Autodesk PowerMill to generate collision-free toolpaths for AISI 316L stainless steel. Dimensional verification was conducted by comparing the 3D-scanned physical model (using Creality CR-Scan Ferret Pro) with the or...
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Assessment of genetic diversity in EMS-induced porang (Amorphophallus muelleri Blume) revealed by RAPD markers
Haritzah, Rendha Maulana
; Radita, Novia Fitri
; Ramadanti, Isma Salsabila
; Azzahro, Yusri Despa
; Wahyudi, Didik
; Resmisari, Ruri Siti
; Suyono
Increasing genetic diversity of porang through mutation is urgently needed since porang has low genetic diveristy. Therefore, this study aims to increase the genetic diversity of porang using ethyl methanesulfonate (EMS) and analyze the genetic diversity of porang using RAPD markers. Porang explants were subjected to in vitro EMS induction at various concentrations (control, 0.1%, 0.2%, 0.3%, 0.4%, and 0.5%) and evaluated after 35 days. DNA amplification was carried out using 20 RAPD primers. Ge...
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