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All Journal Teknika Jurnal Teknologi Informasi dan Ilmu Komputer Semesta Teknika Matrik : Jurnal Manajemen dan Teknik Industri Produksi Zonasi: Jurnal Sistem Informasi Indonesian Journal of Industrial Engineering & Management Industrika : Jurnal Ilmiah Teknik Industri
Tengku Nurainun
Fakultas Sains dan Teknologi Universitas Islam Negeri (UIN) Sultan Syarif Kasim Riau
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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PERANCANGAN STRATEGI RISIKO RANTAI PASOK DENGAN MENGGUNAKAN METODE SUPPLY CHAIN OPERATION REFERENCE (SCOR) DAN HOUSE OF RISK (HOR) (STUDI KASUS : UKM MRP.PAYAKUMBUH) amanda, suci; Lubis, Fitriani Surayya; Hartati, Misra; Nurainun, Tengku; Devani, Vera
Matrik : Jurnal Manajemen dan Teknik Industri Produksi Vol 25 No 1 (2024)
Publisher : Prodi Teknik Industri Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/matrik.v25i1.8449

Abstract

UKM Mrp.Payakumbuh is located in Payakumbuh, West Sumatra, UKM Mrp.Payakumbuh operates in the clothing industry. The problem of delays in raw materials from suppliers causes the process to take a long time. A long supply chain process can result in the company experiencing losses. There are still many rejected products, and identification of sources of risk from suppliers, raw materials, distributors and consumers is not optimal. The aim of this research is to determine chain risk priorities. supplies that must be handled and designing a supply chain risk strategy for SMEs Mrp. Payakumbuh. The results of this research obtained thirteen risks which were prioritized in this research, UKM Mrp. Payakumbuh uses the House of Risk (HOR) method to identify existing risks. In the HOR Phase 1 method, there are 20 risk events and 20 risk agents. In HOR Phase 2, this stage requires the output results in HOR Phase 1, namely designing an appropriate risk management strategy in accordance with the 8 priority risks. In HOR Phase 2 there are 13 proposed preventive actions with codes PA1 to PA13 and a priority risk management proposal is obtained, then code PA2 is obtained. Code PA2 is Controlling storage areas every month.
Analisis Pengaruh Kepuasan Pelanggan, Kualitas Produk Milkshake Donut dan Fruit Smoothies Terhadap Word Of Mouth dengan Metode Structural Equation Model (SEM) Fitriani, Wulan; Hartati, Misra; Nofirza, Nofirza; Nurainun, Tengku
Matrik : Jurnal Manajemen dan Teknik Industri Produksi Vol 25 No 1 (2024)
Publisher : Prodi Teknik Industri Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/matrik.v25i1.8482

Abstract

The increasing market competition has impacted customer satisfaction and product quality. A business in the beverage sector experienced a decline in sales, leading to losses. This study aims to analyze the influence of customer satisfaction and product quality of milkshake donuts and fruit smoothies on Word of Mouth (WOM). The company needs to understand the factors affecting customer behavior to improve the effectiveness of their marketing strategies. The method used in this study is Structural Equation Modeling (SEM), which analyzes the complex relationships between these variables. Data were collected through questionnaires distributed to consumers and analyzed using SEM software to test the hypotheses. The results showed that product quality has a significant effect on customer satisfaction. Customer satisfaction also influences WOM, although no direct effect was found between customer satisfaction and WOM. By focusing on improving product quality and customer satisfaction, the company can leverage WOM as an effective promotional tool to strengthen its market position.
Analisis Sustainable Campus Berdasarkan Kriteria Setting dan Infrastructure (SI) Noviana, Fina; Harpito, Harpito; Anwardi, Anwardi; Umam, Muhammad Isnaini Hadiyul; Nurainun, Tengku
TEKNIKA Vol. 19 No. 1 (2025): Teknika Januari 2025
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14279427

Abstract

Pemanansan global menyebabkan kondisi bumi yang semakin mengkhawatirkan akibat dari panas yang berlebihan. Langkah antisipasi yang dapat dilakukan adalah dengan menerapkan konsep keberlanjutan di berbagai sektor termasuk Perguruan Tinggi. Kampus UIN Suska Riau merupakan salah satu Perguruan Tinggi terbesar di Propinsi Riau yang terletak di Kota Pekanbaru. Penelitian ini bertujuan untuk menganalisis pembangunan keberlanjutan di kampus UIN Suska Riau dengan menggunakan pendekatan UI GreenMatric. Penelitian ini fokus pada kriteria Setting and Infrastructure (SI) yang terdiri dari 11 indikator. Hasil dari penelitian menunjukkan bahwa skor yang didapatkan adalah 425 (28,33%). Ini artinya masih kurang 1.075 (71,66%) dari target 1.500 yang harus dicapai. Penyebab dari perolehan nilai yang jauh dari target ini adalah banyaknya Setting and Infrastructure yang masih belum menerapkan sustainability karena keterbatasan anggaran.
Design of a Corn Thresher and Corn Cob Chopper Using the Pahl & Beitz Method Unria, Habibah Isna; Hamdy, Muhammad Ihsan; Yola, Melfa; Nurainun, Tengku; Anwardi, Anwardi
Semesta Teknika Vol. 27 No. 2 (2024): NOVEMBER
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/st.v27i2.23322

Abstract

The manual corn threshing process by farmers can slow down the processing and subsequent rotation of corn and affect the quality of the corn. In addition, waste from corn processing is not utilized correctly, so processing is needed. This study aims to design a corn threshing tool and corn cob shredder and to make the processing time more efficient so that the productivity and economy of farmers increase. The design method used is Pahl & Beitz, with four stages: planning and explaining tasks, designing product concepts, designing product shapes and details. The most recovered concept was produced based on the design method: concept variant 2. The corn threshing tool and corn cob shredder designed with a 240 kg/hour capacity can make the processing time more efficient. This is known from the results of testing. The tool can thresh 4 kg of corn in 1 minute, and corn cob waste is automatically chopped into powder that can be used as animal/poultry feed.
PERANCANGAN SISTEM KERJA PADA USAHA PENCUCIAN MOTOR DAN KARPET DENGAN MENGGUNAKAN METODE GREEN ERGONOMI DAN ECO-EFFICIENCY: (Studi Kasus: Cucian Motor Dan Karpet Dua Putri) Harahap, Nurul Fazrin Anni; Nofirza, Nofirza; Anwardi, Anwardi; Nurainun, Tengku
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 1 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode Januari 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v7i1.21400

Abstract

Saat ini kebutuhan akan sarana transportasi sangat penting untuk mendukung berbagai aktivitas masyarakatnya. Mayoritas penduduk, terutama mahasiswa, cenderung memilih menggunakan sepeda motor sebagai alat transportasi. Fenomena ini menyebabkan peningkatan permintaan akan sepeda motor. Bagi masyarakat, menggunakan sepeda motor dianggap lebih praktis dan ekonomis, sehingga menjadikan kebersihan dan perawatan sepeda motor menjadi hal yang sangat penting. Permasalahan dari usaha pencucian motor dan karpet yang paling utama adalah kerusakan jalan akibat genangan air dan beban kendaraan, pencemaran lingkungan akibat limbah yang dihasilkan dan juga timbulnya bau tidak sedap akibat genangan air limbah. Tujuannya adalah melakukan perancangan perbaikan sistem kerja pada usaha pencucian motor dan karpet yang tidak memberikan efek buruk bagi tubuh manusia melainkan akan membantu pekerja pada usaha pencucian motor dan karpet dalam upaya dengan pendekatan green ergonomic dan eco-efficiency. Perancangan sistem kerja dengan konsep green ergonomi memiliki kemampuan untuk menjamin efisiensi lingkungan dengan menjadikan proses kerja lebih efisien dan ramah lingkungan. Selain itu, penambahan filter air sebagai penyaringan limbah pencucian motor dan karpet mampu meningkatkan eco-efficiency, serta perbaikan desain lantai kerja yang membuat pekerja bekerja dengan nyaman, aman, dan ergonomis
MENENTUKAN JUMLAH PERSEDIAAN BAHAN BAKU LOGAM YANG OPTIMAL MENGGUNAKAN METODE CONTINUOUS REVIEW SYSTEM Wulandari, Ayuni; Anwardi, Anwardi; Lubis, Fitriani Surayya; Nurainun, Tengku
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 3 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/a4n10v07

Abstract

Sentra Industri Kecil Menengah (SMI) Rumbio Jaya Metal tengah berjuang menghadapi kelebihan bahan baku, yang menyebabkan masalah penyimpanan. Perusahaan ini bergerak di bidang industri besi dan logam. Pemesanan bahan baku yang tidak konsisten menyebabkan masalah ini. Selain itu, ada risiko kerugian besar karena bahan baku yang disimpan di gudang tidak menghasilkan pendapatan apa pun. Dengan penggunaan Sistem Tinjauan Berkelanjutan dan optimalisasi pengendalian inventaris, penelitian ini bertujuan untuk menilai kuantitas persediaan bahan baku logam agar proses manufaktur lebih efisien. Temuan penelitian mengungkapkan bahwa stok pengaman 9 buah dan ambang batas pemesanan ulang 25 buah untuk bahan baku tercapai dengan menggunakan teknik Sistem Tinjauan Berkelanjutan. Pendekatan ini lebih efisien daripada kebijakan Sentra sebelumnya sebesar 0,10%, sehingga menghasilkan total biaya sebesar Rp286.095.587 untuk persediaan bahan baku yang optimal.
Penerapan Algoritma K-Means Dan Metode Marketing Mix dalam Segmentasi Mahasiswa dan Strategi Pemasaran Monalisa, Siti; Nurainun, Tengku; Hartati, Misra
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 1: Februari 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0811939

Abstract

Idealnya, semakin tinggi jumlah pendaftar di suatu institusi pendidikan, semakin tinggi kualitas dari mahasiswa yang diterima. Akan tetapi, kondisi ideal ini tidak dicapai oleh Fakultas Sains dan Teknologi (FST) UIN Suska Riau disebabkan karena sedikitnya jumlah mahasiswa yang berasal dari sekolah menengah unggul yang mendaftar sebagai mahasiswa di FST UIN Suska Riau. Berdasarkan survey terhadap dosen di FST UIN Suska, masih terdapat kendala yang cukup besar dalam proses transfer ilmu kepada mahasiswa terutama dalam hal daya tangkap dan pemahaman mahasiswa terhadap materi ajar. Oleh karena itu, analisis lebih lanjut mengenai mahasiswa saat ini diperlukan untuk merancang sebuah strategi bagaimana menarik minat siswa yang berasal dari sekolah menengah unggul untuk mendaftar sebagai mahasiswa di FST UIN Suska Riau. Metodologi yang digunakan dalam penelitian ini adalah segmentasi mahasiswa menggunakan algoritma K-Means dan teknik kluster menggunakan algoritma Dunn Index. Pengumpulan data dilakukan sebanyak 614 mahasiswa FST tahun ajaran 2015 sampai 2017. Output dari segmentasi mahasiswa digunakan untuk menentukan target dari Marketing Mix 7P. Penelitian ini menghasilkan 2 kluster mahasiswa dengan nilai Dunn Index 1,99. Kuesioner disebarkan kepada mahasiswa dari dua kluster yang berbeda tersebut dan hasilnya menunjukkan bahwa terdapat tiga variabel Marketing Mix yang berpotensi untuk meningkatkan target pasar yaitu people, product, dan place. AbstractIdeally, the higher number of registrant in an educational institution, the higher quality of the accepted students. But, this ideal condition was not achieved by Faculty of Science dan Technology UIN Suska Riau due to the minimum number of students from top ranking senior high school who registered as student in FST UIN Suska Riau. Based on a survey of lecturers at FST UIN Suska, there are still significant limitations in the process of transferring knowledge to students, especially in terms of catching dan understdaning students towards teaching materials. Therefore, further analysis of current input of students is needed to design a strategy how to attract the high quality of high school students to register as student in FST UIN Suska Riau. The methodology in this research are student segmentations using K-Means Algorithm dan Clustering with Dunn Index Algorithm. The data collection derived from 614 students of FST in academic year 2015 until 2017. The output of student segmentations were used to determine the target using Marketing Mix 7P.  This research yield two clusters of students with Dunn Index Value was 1.99. The questionnaire were spreaded to students from the two different clusters dan the results showed that there are three variables of Marketing Mix that potentially increase the market target that is people, product, dan place.
Controlling the Inventory of Boiler Ash Raw Materials in Organic Fertilizer Using the Minmax Method (Case Study: UMTR Belilas Organic Fertilizer) Aditama, Dhimas; Nurainun, Tengku; Lubis, Fitriani Surayya; Nofirza, Nofirza; Anwardi, Anwardi
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.31728

Abstract

This study evaluates the inventory management of boiler ash raw materials in an independent organic fertilizer company, UMTR Belilas, using the Min-Max method supported by forecasting. The main problem in this study is that consumer demand is often not met on time due to suboptimal inventory management. The purpose of this research is to maintain the availability of raw materials in order to meet consumer demand optimally while reducing the risk of out-of-stock and overstocking. The results show that the application of the Min-Max method results in a minimum stock limit of 88.5 kg and a maximum stock of 171 kg, with an optimal purchase quantity of 82.5 kg per order. The safety stock level is calculated at 6.1 kg, while the Reorder Point (ROP) is set at 88.5 kg. With an order frequency of 120 times per year, this method has succeeded in optimizing storage costs through faster stock turnover. The combination of the Min-Max method and forecasting has proven to be effective in responding to fluctuations in demand, ensuring the availability of raw materials on time, and supporting the operational sustainability of organic fertilizer production.
Analysis of Burger Main Raw Material Inventory Control Using the Economic Order Quantity (EOQ) Method and the Just in Time (JIT) Method Rahmadini, Reny; Nurainun, Tengku; Hartati, Misra; Lubis, Fitriani Surayya; Nur, Muhammad
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.31502

Abstract

Burger Fandawa is an MSME in Pekanbaru that faces problems in managing the inventory of the main raw materials, namely bread, meat, and sauce. The main problem is the uncertainty of demand and inventory irregularities that cause shortages or excess stock, thus disrupting smooth production and cost efficiency. This study aims to analyze the main raw material inventory management method using the Economic Order Quantity (EOQ) and Just In Time (JIT) approaches to determine the most optimal method. The research method used is quantitative analysis based on demand data, ordering costs, storage costs, and lead time of the main raw materials during 2023. The results of the analysis show that the optimal purchase quantity according to EOQ is 236.505 packs of bread, 93.510 kg of meat, and 118.866 kg of sauce, with a total inventory cost of IDR. 2,763,809,416. Meanwhile, the JIT method results in a lower total inventory cost of IDR. 1,142,030,936, with a savings difference of IDR. 1,621,778.48. Based on these results, the JIT method is considered more optimal for managing raw material inventory at Burger Fandawa. The JIT method is more efficient in reducing inventory costs and increasing the effectiveness of managing the main raw material stocks.
Optimization of Blood Clam Supply Control Using the Artificial Neural Network (ANN) Method Suardi, Syafarudin; Hartati, Misra; Lubis, Fitriani Surayya; Nurainun, Tengku; Taslim, Rika
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.33669

Abstract

Mr. Badul MSME faces problems in managing blood clam inventory, namely excess and shortage of stock. To overcome this, research was conducted to design an inventory prediction system using the Artificial Neural Network (ANN) method with the Backpropagation algorithm. The ANN model used has an architecture with 10 input neurons, 10 hidden neurons, and 1 output neuron. The inventory data is normalized before the training process, then the results are denormalized to get the actual prediction. The developed model shows good performance with a very low Mean Squared Error (MSE) value of 2.7359e-06, as well as a correlation coefficient of 0.91478, which shows a strong relationship between predictions and actual data. The prediction results cover the period from January 2023 to December 2024. In January 2023, the inventory was predicted to be 96,050 kg, declining in February to 89,205 kg, and dropping sharply to 68,670 kg in March and April. Inventory increases again in May to August with fluctuations from 75,515 kg to 89,205 kg. A similar pattern occurs in 2024, starting with 96,050 kg in January, decreasing in March and April, then increasing again in the middle of the year, and decreasing again towards the end of the year, with the lowest inventory of 65,933 kg in November and December.
Co-Authors Aditama, Dhimas Amanda, Suci anwardi, anwardi Fitriani, Wulan Hamdy, Muhammad Ihsan Harahap, Nurul Fazrin Anni Harpito, Harpito Hartati, Misra Lubis, Fitriani Surayya Lubis, Fitriyani Surayya Maya Sari, Putri Melfa Yola, Melfa Muhammad Nur N. Nazaruddin Nofirza Nofirza Noviana, Fina Putri, Chitra Meisya Rahmadini, Reny Rika Taslim Siti Monalisa Suardi, Syafarudin Umam, Muhammad Isnaini Hadiyul Unria, Habibah Isna Vera Devani Wulandari, Ayuni