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All Journal Techno.Com: Jurnal Teknologi Informasi TEKMAPRO Journal of Industrial Engineering and Management JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) E-Dimas: Jurnal Pengabdian kepada Masyarakat Briliant: Jurnal Riset dan Konseptual PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Journal of Research and Technology EKONOMIS : Journal of Economics and Business SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Teknologi dan Informasi Jurnal Madani ILKOMNIKA: Journal of Computer Science and Applied Informatics JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Industri Terintegrasi (JUTIN) Indonesian Journal of Social and Environmental Issues (IJSEI) International Journal of Eco-Innovation in Science and Engineering (IJEISE) Indonesian Journal of Industrial Engineering & Management Journal La Multiapp Industrika : Jurnal Ilmiah Teknik Industri Jurnal Pengbdian Teknik Mesin Jurnal Pendidikan Tata Niaga (JPTN) Jurnal Teknik Industri, Bisnis Digital, dan Teknik Logistik: Jurnal Trinistik Journal Serambi Engineering (JSE) Advance Sustainable Science, Engineering and Technology (ASSET) Academia Open
Nugraha, Isna
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Analisis Kualitas Defect Produk Pupuk Dolomit dengan Metode New Seven Tools dan Failure Mode and Effect Analysis (FMEA) di PT. XYZ Prakosa, Albertus Adriyanto Satrio; Rochmoeljati, Rr.; Nugraha, Isna
Tekmapro Vol. 19 No. 2 (2024): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v19i2.414

Abstract

PT. XYZ merupakan perusahaan yang bergerak dalam industri pupuk dan bahan tambang dolomit. Standar mutu komposisi hara yang terdapat pada pupuk yang dimiliki oleh PT. XYZ antara lain kadar magnesium oksida (MgO) sebesar 18-22%, kadar kalsium oksida (CaO) sebesar 29-30%, kadar air (H2O) <1%, kehalusan (mesh 100) lolos 95%. Permasalahan yang masih sering terjadi di PT. XYZ adalah pupuk yang dihasilkan tidak sesuai dengan standar yang telah ditentukan. Penelitian ini bertujuan untuk mengetahui faktor-faktor penyebab kecacatan serta usulan perbaikan yang dapat dilakukan untuk mengurangi defect. New Seven Tools merupakan alat-alat bantu yang digunakan dalam eksplorasi kualitatif meliputi beberapa tahapan yaitu Affinity Diagram, Interrelationship Diagram, Tree Diagram, Matrix Diagram, Matrix Data Analysis, Activity Network Diagram, dan Process Decision Program Chart (PDPC). Failure Mode and Effect Analysis (FMEA) adalah suatu prosedur terstruktur untuk mengidentifikasi dan mencegah sebanyak mungkin mode kegagalan (failure mode) dengan menghitung Risk Priority Number (Severity x Occurrance x Detection). Berdasarkan hasil penelitian dapat diketahui faktor-faktor yang menjadi penyebab kecacatan antara lain faktor manusia, material, metode, mesin, dan lingkungan, serta diketahui kecacatan kehalusan dengan nilai Risk Priority Number (RPN) tertinggi yakni 567 yang berarti menjadi prioritas untuk dilakukan usulan perbaikan.
Analysis of the Influence of Raw Material Types for Clothing on the Level of Consumer Interest Aged 18-22 Years in Brand XYZ Nugraha, Isna; Kirana, Intania Widyantari; Khofiyah, Nida An; Ramadhan, Gilang
Tekmapro Vol. 20 No. 2 (2025): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/tekmapro.v20i2.964

Abstract

Brand XYZ is a global apparel company that emphasizes comfort, durability, and design aesthetics in its product offerings. This study aims to examine the influence of clothing material type on purchase interest among consumers aged 18–22 years. A quantitative research approach was applied, using data collected from 50 respondents via a structured questionnaire on a 5-point Likert scale. Statistical analyses were performed using SPSS, including the Kolmogorov–Smirnov test for normality, a linearity test, Pearson correlation analysis, and simple linear regression. The results show that the data met the normality assumption (p = 0.859) and revealed a strong positive correlation between clothing material type and purchase interest (r = 0.810, p < 0.001). The regression model was found to be significant (F = 91.728, p < 0.001) with the equation Y=1.932+0.859XY = 1.932 + 0.859XY=1.932+0.859X and an R2R^2R2 value of 0.656, indicating that 65.6% of the variance in purchase interest can be explained by the clothing material type. The findings highlight the critical role of material selection in influencing consumer behavior. Practical recommendations for Brand XYZ include diversifying high-quality material options, improving transparency in fabric information, and implementing targeted consumer education campaigns to enhance brand loyalty and purchase intention.
Minimasi Biaya Persediaan Ikan Kakap Merah PT. MMU Metode Economic Order Quantity (EOQ) Arifin, Defitria Sabrina Firdaus; Nugraha, Isna
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 1 (2024): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i1.23540

Abstract

PT. MMU is an industry engaged in processing marine fish. The aim of this research is to minimize the cost of snapper supplies so that the production process becomes more efficient. The analysis begins with data on demand for red snapper in 2023. The movement of recorded demand shows fairly stable fluctuations, although there are some significant declines in certain months, data on ordering costs and storage costs, including raw material prices, ordering frequency, costs forklift, and ice cube costs, have been obtained to account for the total cost of raw material inventory. Data on fish demand, ordering costs, storage costs, and inventory factors were analyzed, resulting in an optimal order quantity of 298.98 kg per order with an order frequency of 6 times a year. Cost analysis shows potential savings of Rp. 3,078,677.43, safety stock of 127 kg and re order point of 42 kg. This research provides insight into the efficiency of inventory management at PT. MMU and its important implications for stock control in the fishing industry
Penerapan Data Mining Produksi Padi di Pulau Sumatera Menggunakan Analisis Regresi Linear Nababan, Yohanes; Nugraha, Isna
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 1 (2024): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i1.23545

Abstract

Indonesia, primarily an agrarian nation, relies heavily on farming as a livelihood, particularly in rice production. Rice is a crucial commodity, especially in Sumatra. Understanding the influential factors such as rainfall, humidity, average temperature, and harvest area is vital for effective rice production. This research applies the CRISP-DM method: Business Understanding, Data Understanding, Data Preparation, and Modeling. Multiple linear regression analysis is employed using Python programming in Google Colab to assess the impact of these factors on rice production. Results indicate that rainfall, humidity, and average temperature insignificantly affect rice production, while harvest area significantly influences it. The regression model is expressed as Y = 12.3X1 + 1637.1X2 – 159677.3X3 + 5.1X4. This model provides valuable insights for farmers to prioritize influential factors in future rice production
Analisis segmentasi pelanggan dengan model RFM (Recency, Frequency, Monetary) dan K-Means Clustering (Studi kasus: PT XYZ) Sitorus, Ema Rosary; Nugraha, Isna
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.39447

Abstract

Customer segmentation is a crucial process in understanding consumer behavior patterns to support strategic decision making in marketing. The main challenge companies face is accurately segmenting customers based on transaction data. The purpose of this research is to determine and segment customers using the K-Means clustering algorithm based on the RFM (Recency, Frequency, Monetary) model on AMDK sales transaction data at PT XYZ. The research method involves analysis of 111 customer data processed using Orange Data Mining software, with validation of the results using Silhouette Score which is useful in determining the ideal number of clusters. This research produces four customer clusters, with Cluster 4 reflecting customers with the highest level of loyalty, characterized by dominant Frequency and Monetary values, while Cluster 3 describes customers with low loyalty potential. The results of this research provide a scientific basis for the development of more focused and efficient data-based marketing strategies.
Diseminasi mesin huller inovatif sebagai teknologi tepat guna untuk mendukung produksi beras sehat pada masyarakat Desa Bendosewu, Kabupaten Blitar Sugiarto, Sugiarto; Santoso, Wahyu; Nugraha, Isna
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 1 (2026): February
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i1.34462

Abstract

Abstrak Kegiatan pengabdian masyarakat ini bertujuan untuk mendiseminasikan mesin huller inovatif sebagai teknologi tepat guna dalam mendukung produksi beras sehat di Desa Bendosewu, Kabupaten Blitar. Pengabdian masyarakat ini diberangkat dari permasalahan mitra yaitu masih terbatasnya teknologi pascapanen yang digunakan petani, sehingga kualitas beras yang dihasilkan kurang optimal dan nilai jualnya rendah. Metode pelaksanaan meliputi uji coba mesin di Bengkel Rekayasa TTG UPN “Veteran” Jawa Timur, demonstrasi lapang bersama kelompok tani, serta evaluasi melalui pre-test dan post-test. Hasil kegiatan menunjukkan bahwa mesin huller inovatif mampu meningkatkan efisiensi waktu dan kapasitas produksi, dengan hasil beras lebih utuh, bersih, dan bernilai jual lebih tinggi. Uji beda berpasangan memperlihatkan adanya peningkatan pada pengetahuan dan keterampilan masyarakat, dari skor rata-rata pre-test 11,00 menjadi 20,33 pada post-test. Sehingga menegaskan bahwa diseminasi mesin huller inovatif efektif dalam meningkatkan kemampuan masyarakat Desa Bendosewu, Kabupaten Blitar sekaligus memperkuat kemandirian desa dalam pengolahan beras sehat. Kata kunci: diseminasi teknologi; mesin huller inovatif; beras sehat; teknologi tepat guna. Abstract This community service activity aims to disseminate an innovative huller machine as an appropriate technology to support healthy rice production in Bendosewu Village, Blitar Regency. This community service was initiated from the partner's problem, namely the limited post-harvest technology used by farmers, resulting in less than optimal rice quality and low selling value. The implementation method included a machine trial at the Engineering Workshop of TTG UPN "Veteran" East Java, field demonstrations with farmer groups, and evaluation through pre-tests and post-tests. The results of the activity showed that the innovative huller machine was able to increase time efficiency and production capacity, with rice that was more intact, clean, and had a higher selling value. Paired difference tests showed an increase in community knowledge and skills, from an average pre-test score of 11.00 to 20.33 in the post-test. This confirms that the dissemination of the innovative huller machine was effective in improving the capabilities of the Bendosewu Village community. Keywords: technology dissemination; innovative hulling machine; healthy rice; appropriate technology.
Mitigasi Risiko Supply Chain dengan Pendekatan Metode Ganda: House of Risk dan Bow Tie Analysis Primadhiya, Fairuzzayyan; Pulansari, Farida; Nugraha, Isna
JISI: Jurnal Integrasi Sistem Industri Vol. 13 No. 1 (2026): JISI UMJ
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.13.1.109-122

Abstract

Studi ini dilakukan di CV. Pelita Mandiri sebagai investigasi awal risiko yang mungkin terjadi dalam rantai pasok mereka untuk meningkatkan efisiensi. Dengan mengintegrasikan kedua metode, analisis dan mitigasi risiko dapat memberikan gambaran yang lebih jelas dan menjadi solusi bagi perusahaan. Studi ini menghasilkan 15 agen risiko prioritas seperti terjadi perubahan jadwal pengiriman, armada pengangkutan dari mitra tidak tersedia, dan bahan baku yang tidak disimpan dengan suhu yang tepat, dll. Dari agen risiko prioritas terdapat 17 strategi mitigasi yang direkomendasikan seperti menyusun jadwal produksi dengan waktu tambahan, memastikan gudang penyimpanan memiliki suhu yang tepat, monitoring ketersedian armada 1-2 minggu sebelum jadwal pickup, dll. Selain itu, 10 kejadian risiko memerlukan analisis menggunakan diagram bow-tie, yang diprioritaskan oleh agen risiko, untuk menentukan dampaknya dan langkah-langkah pengendalian risiko terkait. Dengan demikian, agen risiko dapat dimitigasi dengan strategi yang tepat dan kejadian risiko dapat dikendalikan dengan baik oleh perusahaan.
Analisis Pola Kecacatan dan Kinerja Proses Perakitan Produk Kursi Kuliah Menggunakan Metode Statistical Process Control Aqidawati, Era Febriana; Nugraha, Isna; Khofiyah, Nida An; Istiqomah, Silvi; Putra, Perdana Suteja
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.56387

Abstract

The furniture manufacturing industry is required to consistently produce products that meet dimensional and functional specifications to minimize rework, scrap, and resource waste. This study applies Statistical Process Control (SPC) to assess the quality performance of lecture chair production in a furniture company. Pareto analysis identified the seat and table board as the main sources of defects. The -R control chart and p and np charts indicate a stable process, and the Cp value (1.01–2.07) indicates that the process is capable. However, the average defect proportion of 0.46 per lot indicates that the defect rate is still operationally high. The data suggests that most quality problems are caused by general process variations related to people, methods, and machines. Therefore, improvements should focus on making work more consistent and better controlling processes. 
Integrating IoT Data and Consumer Behavior Analytics to Enhance Decision-Making in Sustainable Koi Fish Cultivation Sugiarto, Sugiarto; Wahyuni, A; Nugraha, Isna; Rizqina, Azza; Agvenia, Keisya
ILKOMNIKA Vol 8 No 1 (2026): Volume 8, Number 1, April 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i1.832

Abstract

This study presents a data-driven decision-support framework that integrates Internet of Things (IoT)–based water quality monitoring with consumer behavior analytics to support sustainable koi fish cultivation. An IoT monitoring system was implemented using an ESP32 microcontroller equipped with pH, dissolved oxygen (DO), temperature, and turbidity sensors to continuously record water quality conditions over a 30-hour observation period. Time-series sensor data were processed through noise filtering, timestamp synchronization, and descriptive statistical analysis to characterize environmental stability patterns. In parallel, consumer behavior data were collected from 50 respondents using an online questionnaire addressing color preference, purchase considerations, maintenance awareness, and price sensitivity. The integrated analysis combined correlation analysis and K-Means clustering to explore relationships between water quality stability indicators and consumer segmentation. The results indicate that relatively stable pH (6.66–7.20) and DO (6.0–7.1 mg/L) conditions align with the preferences of quality-focused and maintenance-oriented consumer groups, while automated IoT-based monitoring supports operational efficiency relevant to budget-conscious buyers. Overall, the findings demonstrate that integrating environmental sensing data with consumer behavior analytics can enhance operational decision-making, improve market alignment, and support sustainability in koi aquaculture systems.
ERP-Based Warehouse System Implementation Using Odoo for Steel Fabrication Stock Accuracy: Penerapan Sistem Gudang Berbasis ERP Menggunakan Odoo untuk Menjamin Akurasi Persediaan dalam Industri Fabrikasi Baja Rochman, Mohammad Habibur; Ernawati, Dira; Nugraha, Isna
Academia Open Vol. 11 No. 1 (2026): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.11.2026.13987

Abstract

This study presents an integrated approach to warehouse management in the steel fabrication sector. General Background: Manufacturing industries rely on efficient supply chain and warehouse operations to maintain competitiveness and ensure accurate material flow. Specific Background: Steel fabrication companies experience material management issues due to semi-manual and non-integrated systems, resulting in significant stock discrepancies reaching 12% of total inventory. Knowledge Gap: Prior studies on ERP and Warehouse Management Systems remain general and lack specific implementation insights using Odoo in steel fabrication environments with complex material structures. Aims: This study aims to design and implement an ERP-based Warehouse Management System using Odoo to address stock inaccuracies and operational inefficiencies. Results: The implementation of integrated modules, including Inventory, Purchase, and Manufacturing, combined with Black Box Testing, reduces stock discrepancies, improves data accuracy, enables real-time monitoring, and strengthens coordination across procurement, warehouse, and production divisions. Novelty: This study provides a practical implementation of an Odoo-based ERP-WMS tailored to steel fabrication conditions characterized by high inventory complexity and integration needs. Implications: The system supports structured production planning, improves operational performance, and facilitates data-driven decision-making in warehouse and supply chain management. Highlights: Integrated modules streamline coordination among procurement, storage, and production units. Real-time monitoring capability minimizes discrepancies between recorded and actual inventory. System testing confirms alignment with operational requirements and functional needs. Keywords: Warehouse Management System, Enterprise Resource Planning, Odoo, Material Procurement, Steel Fabrication
Co-Authors Aflah, Rifka Mauliana Agvenia, Keisya Alfani, Ahmad Mujaddid Aliya, Izra Noor Amalliyah, Nurul An Khofiyah, Nida Andyas Mukti Pradanarka Anshori, Husna Zaka Anugerah Dany Priyanto, Anugerah Dany Aqidawati, Era Febriana Ardlianti , Rana Atikah Arier, Tivani Nava Arifin, Defitria Sabrina Firdaus Armevia, Nazwa Rifqi Aryanti, Friska Candiani, Malkia Adeelin Dicya, Bintara Putra Dira Ernawati Dwi Sukma Donoriyanto Fanani, Handre Syahrul Farida Pulansari Gilang Ramadhan Gufron, Achmad Hayati, Kinanti Resmi Iffad Rakhmanhuda Intania Widyantari Kirana Islami, Mega Cattleya Prameswari Annissaa Kamilah, Nurisma Bintang Khumaira, Nadya Amelia Kuswara, Ramadana Esa Nababan, Yohanes Nida An Khofiyah Ningrum, Dwi Mulyati Novasani, Raditya Jarwenda Nugraha, Yaskie Cahyana Septiviandra Ade Nur Rahmawati Nuswantoro, Wira Yudha Pangesti, Arwinda Perdana Suteja Putra Prakosa, Albertus Adriyanto Satrio Prashodang, Tryandika Rizkat Pratama, Aditya Tri Primadhiya, Fairuzzayyan Puji W, Endang Putri Adisti, Kirana Rahmawati, Rahmawati Ramadhan , Gilang Rizqina, Azza Rochman, Mohammad Habibur Rochmoeljati, Rochmoeljati Romadoni, M Ilham Rr. Rochmoeljati Rusindianto Rusindiyanto sholeha, fitriatus Silvi Istiqomah Sinta Dewi Sitorus, Ema Rosary Sugiarto S Sukma Donoriyanto, Dwi Sukma, Dwi Syaifullah, Hafid Syamsiah, Yuliatin Ali Tarigan, Feby Yola Br Tranggono Tranggono Wahyu Santoso Wahyuni, A Widyawati, Diana Winursito, Yekti Condro Yasmin, Avril Virga Mutiara Yulia Sari, Alma Dwi