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Lubis, Fitriani Surayya
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Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering

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Penerapan Strategi Pemasaran dalam Upaya Meningkatkan Penjualan Menggunakan Metode SOAR dan QSPM pada Studi Kasus Thrift Store Labersa Pekanbaru Handika, Puri Tri; Lubis, Fitriani Surayya; Hartati, Misra; Umam, Muhammad Isnaini Hadiyul; Nazaruddin, Nazaruddin
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 2 (2025): Juli
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i2.6025

Abstract

The purpose of this study was to help solve problems related to factors that influence reduced income or sales achievement using the SOAR and QSPM methods. The purpose of using the SOAR and QSPM matrices is to find valid and practical results for the problems faced by the owner of the Thrift shop Labersa Pekanbaru. The method used in this study is qualitative where researchers obtain research results through distributing questionnaires with primary data types, namely direct interviews with the owner and related parties, while the method in the research data uses the SOAR and QSPM methods as a reference in concluding the results of the questionnaire. The results of the study found that the results of the validity and reliability tests said valid and reliable, then the results of the IE and SOAR matrix analysis quadrants were obtained in quadrant V with the aim that the store in that phase must maintain the market and develop products. The final results of the SOAR and QSPM tests obtained AS and TAS 6.758 are the highest results by providing pre-order services for branded goods according to customer demand and exclusive shopping fields.
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.
Pengendalian Persediaan Bahan Bakar Solar pada Perusahaan Jasa Penyewaan Alat Berat Lubis, Fitriani Surayya; Mayuta, Fadhila Putri
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2023: SNTIKI 15
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tujuan dari penelitian ini untuk mengetahui pengendalian persediaan solar pada PT. XYZ yang merupakan salah satu perusahaan penyediaan jasa penyewaan alat berat di Kota Pekanbaru. Solar merupakan hal yang penting dalam perusahaan penyewaan alat berat ini. Alat berat yang disewakan berupa vacuum truck dan water truck.  Metode yang digunakan dalam studi kasus ini adalah Min-Max Stock. Data yang dikumpulkan untuk pengolahan data penelitian ini yaitu historis pemakaian solar per periode pada tahun 2021. Hasil penelitian ini menunjukkan bahwa dari kebijakan perusahaan pemesanan dilakukan sebanyak 96 kali/tahun, sedangkan dengan menggunakan metode Min-Max Stock sebanyak 60 kali/tahun. Dengan minimal stok 11.339,2 liter dan maksimal stok 14.231,3 liter. Pemesanan kembali dilakukan apabila jumlah solar yaitu 2.892,1 liter.dengan persediaan pengaman sebanyak 4.223,53 liter. Penghematan total biaya persediaan solar menggunakan metode ini sebesar 33% dari total biaya persediaan yang dilakukan perusahaan.
Analisis Peramalan (Forecasting) Jumlah Pemakaian Bahan Bakar PLTD Bengkalis pada PT. PLN UP3 Dumai Lubis, Fitriani Surayya; Hanifah, Hanifah; Mayuta, Fadhila Putri
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2023: SNTIKI 15
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

High Speed Diesel (HSD) atau solar merupakan bahan bakar utama di PT.PLN UP3 DUMAI PLTD Bengkalis. Permasalahan yang terjadi di PLTD Bengkalis yaitu pada jumlah pemakaian bahan bakar yang tidak menentu sehingga dapat menyebabkan kelebihan dan kekurangan pada jumlah persediaan solar. Penelitian ini bertujuan untuk mengetahui metode peramalan (forecasting) terpilih dan estimasi jumlah pemakaian bahan bakar solar agar tidak terjadi lagi kelebihan dan kekurangan. Empat metode peramalan yang digunakan yaitu Moving Average, Weighted Moving Average, Exponential Smoothing Dan Linier Regression. Perhitungan kesalahan peramalan menggunakan kriteria error terkecil MFE, MSE, MAD dan MAPE dengan pengendalian hasil peramalan menggunakan tracking signal. Data yang digunakan yaitu data pemakaian BBM solar. Hasil penelitian  berdasarkan pengolahan data didapatkan metode Moving Average mendapatkan hasil forecast untuk periode berikutnya sebesar 3.107.956 dan perhitungan nilai-nilai akurasi forecasting memiliki nilai MFE sebesar -48.485, nilai MAD sebesar 94.412, nilai MSE sebesar 37.962.088.919 dan nilai MAPE sebesar 3,413% dan hasil peramalan menggunakan Metode Moving Average dapat dikategorikan sangat baik karena nilai MAPE <10%.
Islamic Activity Management Of Housewives In A Multi-Ethnic Village Syafnan, Syafnan; Lisnasari, Srie Faizah; Lubis, Fitriani Surayya
Edukasi Islami: Jurnal Pendidikan Islam Vol. 12 No. 01 (2023): Edukasi Islami: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v12i01.4306

Abstract

This study aims to reveal the morals of housewives in multi-ethnic villages, and border areas of the Province, both in the event of grief, joy, and village government activities. The research methodology is a qualitative phenomenological model, with the key data source being 16 housewives aged 30 to 47 years, the instrument used is a structured interview guide and processing data starting from the collection, validation, analysis, triangulation, and making conclusions. Research results:  The morals of Batusondat village housewives outside the home towards bereavement activities, Islamic behavior of Batusondat village housewives outside the home in responding to joy is: visiting with polite clothes and not newly bought ones. While in Sukamaju village are: visiting with polite clothes but with newly bought clothes, Batu Sondat village housewives apply the Islamic leadership model in fostering their children's morals by prioritizing giving examples of behaving in an Islamic manner. While in Sukamaju village: prioritizing a simple lifestyle, The contribution shown by housewives of Batusondat village in participating in the youth moral development program in the village PKK/Jorong is by giving the energy to do activities in activities and also giving money to participate in activities according to sincerity.
Analisis Kepuasan Pasien Terhadap Kualitas Pelayanan Rawat Jalan Rumah Sakit X Menggunakan Service Quality Metode Costumer Statisfaction Index (CSI) dan Importance Performance Analysis (IPA) Saputri, Anggi Lisa; Lubis, Fitriani Surayya; Suherman, Suherman; Nazaruddin, Nazaruddin; Nur, Muhammad
Jurnal Ilmiah Universitas Batanghari Jambi Vol 24, No 2 (2024): Juli
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v24i2.5409

Abstract

This study aims to evaluate the level of customer satisfaction with outpatient services at Hospital X and identify areas that require improvement. The results of data processing show that the customer satisfaction index (CSI) value obtained is 76.435%, which is included in the "Satisfied" category. However, there are still a number of patients who are dissatisfied with the services they receive, so efforts are needed to improve the quality of outpatient services. Meanwhile, the results of further analysis using the importance performance analysis (IPA) method reveal attributes that require special attention. The attributes are in Quadrant I of the Cartesian IPA diagram, which shows improvement priorities. Recommendations for improvement include adding facilities such as drinking water stations, children's play areas, and spare chairs for patients queuing. Apart from that, it is necessary to design standard operating procedures (SOP) that are in accordance with doctors' schedules to avoid schedule conflicts, as well as regular training regarding service excellence for medical personnel and hospital staff. The implementation of these recommendations is expected to increase patient satisfaction with outpatient services at Hospital X.
Analysis of Haura Mart's Marketing Strategy Using the Marketing Mix Method and the SOAR in Dealing with the Competition Sekar, Intan Ayu; Umam, Muhammad Isnaini Hadiyul; Lubis, Fitriani Surayya; Yola, Melfa; Hartati, Misra
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.31592

Abstract

This research to analyze the marketing strategy of Haura Mart supermarket in facing competition, namely by using the Marketing Mix (7P) method and the SOAR (Strengths, Opportunities, Aspirations, and Results) if you want to increase sales. Marketing Mix consists of Product, Price, Place, Promotion, Physical Evidence, People, and Process which are used to identify the most dominant factors in marketing objectives. while the SOAR method is the result of the analysis of the most dominant or influential factors of the marketing mix strategy (7P). The results of this study found that the most influential on the Marketing Mix method was  from the results of the t-test, it was found that the factors that influenced sales volume were place with a t-value of 2.784, promotion with a t-value of 2.902, people with a t-value of 2.630, and process with a t-value of 2.133. This is because t-value > t-table (1.986). And SOAR calculations with the result of the total IFE matrix score is 3.518 and the total EFE matrix score is 3.737.So that the SA method, OA method, SR approach, and OR method marketing mixare the most effective strategies to increase Haura Mart supermarket sales in facing competition.
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 Al-As'ad, Faiz Al-Ghozy, Athaullah Ahmad Amanda, Suci anwardi, anwardi Burrahman, Habi Dharma, Satrio Arya Dwi Arini, Jean Retno Frenita Zurids, Adilla Gusti Fara Hitari, Belia Hadiyul Umam, Isnaini Hamdy, Muhammad Ihsan Handika, Puri Tri hanifah hanifah Harpito, Harpito Hartati, Misra Hidayat, Ferdi Gusman Ismu Kusumanto Kurniawan, Muhammad Ilham Lisnasari, Srie Faizah Mayuta, Fadhila Putra Mayuta, Fadhila Putri Melfa Yola, Melfa Muhammad Muhammad Nur Muhammad Rizki Muhammad Rizki N. Nazaruddin Nazaruddin Nofirza Nofirza Nofirza Pangestu, Bima Okta Rahmadini, Reny Rifki Alfarizi Rika Taslim Saputri, Anggi Lisa Sekar, Intan Ayu Sri Wahyuni, Annisa Suardi, Syafarudin Suherman, Suherman Syafnan Syafnan Syalsabila, Nadya Tengku Nurainun Umam, Muhammad Isnaini Hadiyul Vera Devani Wahab, Mohammad Ikbar Bin Abdul Wilda, Yulia Wulandari, Ayuni