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All Journal Tekinfo | Scientific Journal of Industrial and Information Engineering Jurnal DISPROTEK Jurnal Ilmiah Edunomika (JIE) Budimas : Jurnal Pengabdian Masyarakat International Journal of Economics and Management Research Nusantara Journal of Multidisciplinary Science Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Jurnal Pengabdian Kepada Masyarakat Indonesia Jimstek
Yunita Primasanti
Universitas Sahid Surakarta
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MARKOV CHAIN ANALYSIS: UNDERSTANDING CHANGES IN CONSUMER INTEREST IN PURCHASING FOOD TYPES AS AN INITIAL STEP IN CULINARY BUSINESS DECISIONS Bekti Nugrahadi; Anita Oktaviana Trisna Devi; Agung Widiyanto Fajar Sutrisno; Yunita Primasanti; Nasyita Vivi Amalia
Jurnal Disprotek Vol. 17 No. 1 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v17i1.8941

Abstract

Indonesia features a diverse culinary landscape characterized by regional variations in ingredients, processing methods, and flavors. The culinary industry is expanding rapidly, with the creative economy making a substantial contribution to national GDP. Effective planning is essential for continued industry success. This study analyzed shifts in consumer interest in food selection as an initial step in culinary business decision-making. Markov analysis was employed to predict customer preferences, forecast future market trends, and calculate transition probability matrices and steady-state distributions. Analysis of data from 40 respondents indicated a significant shift in consumer preferences. Interest in heavy food menus, including chicken, duck, and seafood, declined substantially, approaching 0%. In contrast, cold drinks demonstrated continued growth and remained the dominant category at steady-state, accounting for 32.22%. These findings suggest that long-term consumption trends are likely to favor cold drinks, providing valuable insights for culinary entrepreneurs. ANALISIS RANTAI MARKOV UNTUK MENGETAHUI PERUBAHAN MINAT KONSUMEN DALAM PEMILIHAN JENIS MAKANAN SEBAGAI LANGKAH AWAL KEPUTUSAN BISNIS KULINERIndonesia memiliki kuliner yang beragam, terdapat banyak perbedaan dari setiap daerah dari segi bahan, cara pengolahan dan cita rasa. Industri kuliner saat ini berkembang sangat pesat dan merupakan sektor ekonomi kreatif yang berkontribusi signifikan terhadap PDB. Kesuksesan suatu usaha industri kuliner sangat bergantung pada perencanaan yang baik. Tujuan dari penelitian ini untuk menganalisis perubahan minat konsumen dalam pemilihan jenis makanan sebagai langkah awal pengambilan keputusan bisnis kuliner, Menggunakan pendekatan analisis Markov untuk memprediksi preferensi pelanggan dan tren pasar di masa yang akan datang. Serta menghitung matriks probabilitas transisis dan distribusi steady-state. Berdasarkan 40 orang responden, perhitungan menunjukkan pola perpindahan minat konsumen signifikan. Menu makanan berat seperti ayam dan bebek serta seafood cenderung mengalami penuruan minat mendekati 0%. Di sisi lain, minuman dingin menunjukkan persentase yang terus meningkat dan bertahan sebagai kategori dominan pada kondisi steady-state yaitu sebesar 32,22%. Hasil perhitungan tersebut memberikan pandangan bagi pelaku usaha kuliner bahwa tren konsumsi jangka panjang cenderung mengarah pada produk minuman dingin.
STRATEGIES TO REDUCE KILN OPERATIONAL DOWNTIME CAUSED BY AIR PRESSURE DROPS AT PT SEMEN GRESIK, REMBANG PLANT Yunita Primasanti; Cahya Widya Pratama; Agung Widiyanto Fajar Sutrisno
Jurnal Disprotek Vol. 17 No. 1 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v17i1.9187

Abstract

The cement industry is a strategic sector in supporting national infrastructure development. PT Semen Gresik's Rembang factory faces high kiln operational downtime due to reduced air pressure. This impacts production efficiency, increases operational costs, and accelerates equipment lifespan. This study aims to identify the main factors causing reduced air pressure in the kiln operating system and formulate a strategy to minimize downtime using the New Seven Tools approach. The results show that the reducing air pressure is the most significant cause of downtime with a frequency of 82.2% and a duration of 80.2%. The dominant factors are signals from the MCC and compressor are not being sent to the Central Control Room (CCR), frequent trips on the MCC due to surge loads when starting the compressor, overheating of the compressor contactor and power cable, and the lack of an auto-restart feature for the compressor control panel after trips and start-stops from the CCR. Recommended improvement strategies include modifying the MCC to send signals to the Central Control Room (CCR), evaluating the breaker and feeder capacity, replacing power cables in accordance with the KHA, and increasing preventive maintenance on the compressor. The study concludes that implementing a New Seven Tools-based repair strategy is effective in reducing the risk of kiln downtime due to reduced air pressure, while simultaneously increasing the efficiency and reliability of kiln operations at PT Semen Gresik's Rembang Factory. STRATEGI PENURUNAN DOWNTIME OPERASIONAL AKIBAT PENURUNAN TEKANAN UDARA DI PT. SEMEN GRESIK PABRIK REMBANGIndustri semen merupakan sektor strategis yang berperan penting dalam mendukung pembangunan infrastruktur nasional. PT Semen Gresik Pabrik Rembang menghadapi permasalahan tingginya downtime operasional kiln akibat penurunan tekanan udara, yang berdampak pada efisiensi produksi, peningkatan biaya operasional, serta percepatan penurunan usia pakai peralatan. Penelitian ini bertujuan untuk mengidentifikasi faktor utama penyebab penurunan tekanan udara pada sistem operasional kiln dan merumuskan strategi penurunan downtime dengan pendekatan New Seven Tools. Hasil penelitian menunjukkan bahwa penurunan tekanan udara menjadi penyebab downtime terbesar dengan persentase frekuensi 82,2% dan durasi 80,2%. Faktor dominan yang memengaruhi permasalahan adalah sinyal dari MCC dan kompresor tidak dikirim ke Central Control Room (CCR),Sering terjadi trip pada MCC karena beban lonjakan saat starting kompresor, Kontaktor dan kabel power kompresor overheat, Panel kontrol kompresor tidak memiliki fitur auto restart setelah trip dan start-stop dari CCR. Strategi perbaikan yang direkomendasikan antara lain: Modifikasi MCC agar dapat mengirimkan sinyal ke Central Control Room (CCR), evaluasi kapasitas breaker dan feeder, penggantian kabel power sesuai KHA, serta peningkatan pemeliharaan preventif pada kompresor. Kesimpulan dari penelitian ini adalah bahwa penerapan strategi perbaikan berbasis New Seven Tools efektif dalam mengurangi risiko downtime kiln akibat penurunan tekanan udara, sekaligus meningkatkan efisiensi dan keandalan operasional kiln di PT Semen Gresik Pabrik Rembang
USE OF THE SIX SIGMA METHOD TO REDUCE BAD CONE DEFECTS AND IMPROVE QUALITY IN THE SPINNING UNIT OF PT. DAN LIRIS Diah Ayu Purwitasari; Yunita Primasanti; Erna Indriastiningsih
Jurnal Disprotek Vol. 17 No. 1 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v17i1.9508

Abstract

The textile industry must produce high-quality products with low defect rates to improve competitiveness and customer satisfaction. This research was conducted at the spinning unit of PT. Dan Liris, which still faces problems with bad cone defects in the winding process, such as wrinkles, crossing, ring cones, dirty yarn, and weights that do not meet standards. This study aims to analyse the level of bad cone defects, identify the main causal factors, and provide improvement suggestions to improve yarn product quality. The method used Six Sigma with the DMAIC (Define, Measure, Analyze, Improve, and Control) approach. Data were obtained from the production results of winding machines from July 2024 to March 2025. The analytical tools used include Pareto diagrams, P control charts, fishbone diagrams, and Failure Mode and Effect Analysis (FMEA) to determine improvement priorities based on the Risk Priority Number (RPN) value. The results show that the dominant defects are wrinkles and crossing, with DPMO values and initial sigma levels indicating that the process still needs improvement. The factors causing defects come from aspects of machines, work methods, materials, and people. Kaizen-based improvement proposals reduced the number of bad cone defects, decreased the DPMO value, and increased the process sigma level. Thus, the implementation of the Six Sigma method has proven effective in improving yarn product quality and supporting zero-defect efforts at the spinning unit of PT. Dan Liris.PENGGUNAAN METODE SIX SIGMA UNTUK MENGURANGI CACAT BAD CONE DAN MENINGKATKAN KUALITAS PADA UNIT SPINNING PT. DAN LIRISIndustri tekstil dituntut untuk menghasilkan produk dengan kualitas tinggi dan tingkat kecacatan yang rendah guna meningkatkan daya saing dan kepuasan pelanggan. Penelitian ini dilakukan pada unit spinning PT. Dan Liris yang masih menghadapi permasalahan cacat bad cone pada proses winding, seperti wrinkle, crossing, ring cone, benang kotor, serta berat tidak sesuai standar. Penelitian ini bertujuan untuk menganalisis tingkat kecacatan bad cone, mengidentifikasi faktor penyebab utama, serta memberikan usulan perbaikan guna meningkatkan kualitas produk benang. Metode yang digunakan adalah Six Sigma dengan pendekatan DMAIC (Define, Measure, Analyze, Improve, dan Control). Data diperoleh dari hasil produksi mesin winding periode Juli 2024 hingga Maret 2025. Alat analisis yang digunakan meliputi diagram Pareto, peta kendali P, diagram fishbone, serta Failure Mode and Effect Analysis (FMEA) untuk menentukan prioritas perbaikan berdasarkan nilai Risk Priority Number (RPN). Hasil penelitian menunjukkan bahwa cacat dominan adalah wrinkle dan crossing, dengan nilai DPMO dan level sigma awal yang menunjukkan proses masih perlu ditingkatkan. Faktor penyebab cacat berasal dari aspek mesin, metode kerja, material, dan manusia. Usulan perbaikan berbasis Kaizen mampu menurunkan jumlah cacat bad cone, menurunkan nilai DPMO, serta meningkatkan level sigma proses. Dengan demikian, penerapan metode Six Sigma terbukti efektif dalam meningkatkan kualitas produk benang dan mendukung upaya zero defect di unit spinning PT. Dan Liris.
ANALYSIS OF HUMAN CAPITAL FACTORS ON EMPLOYEE WORK PRODUCTIVITY AT PT XYZ Yunita Primasanti; Evelyne Henny Lukitasari; Destina Paningrum
Jurnal Disprotek Vol. 17 N0. 2 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v172.9809

Abstract

Employee productivity is a strategic factor in enhancing an organization's operational efficiency and competitiveness. However, human resource management in many companies remains suboptimal, particularly regarding the development of human capital quality that supports productivity. This study aims to analyze the impact of education, work experience, and job training as dimensions of human capital on the productivity of PT XYZ employees. Unlike previous studies that tended to examine human capital aspects in isolation or within specific organizational contexts, this research integrates these three dimensions into a single model to provide a more comprehensive understanding of the factors driving productivity within the study's scope. The selection of these three dimensions is grounded in Human Capital Theory, which views education as the foundation of knowledge, work experience as the accumulation of practical competence, and training as a mechanism for continuous competence development. A quantitative approach was employed, utilizing a survey of 150 respondents selected through purposive sampling. Data were collected via Likert-scale questionnaires and analyzed using multiple linear regression in SPSS. The results indicate that education (β = 0.241; p < 0.05), work experience (β = 0.356; p < 0.05), and job training (β = 0.418; p < 0.05) all have a positive and significant effect on work productivity. Collectively, the three variables exert a significant influence, with an Adjusted R-squared value of 0.682. Job training emerged as the factor making the largest contribution. These findings underscore the importance of integrated human capital development strategies in boosting organizational productivity and competitiveness.
THE INFLUENCE OF EXTRINSIC MOTIVATION, PERSONALITY, AND COMMUNICATION ON EMPLOYEE PERFORMANCE AT PT. SOLO BETON SRAGEN Ratna Sekar Ayu; Yunita Primasanti; Agung Widiyanto Fajar S.
Jurnal Disprotek Vol. 17 N0. 2 (2026)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v172.10079

Abstract

The decline in employee performance at PT. Solo Beton Sragen from 95% in 2023 to 82% in 2024 indicates that human resource management within the company has not been optimal. This study aims to analyze the influence of extrinsic motivation, personality, and communication on employee performance, both partially and simultaneously. Data were collected through observation, interviews, and questionnaires distributed to 39 employees using a saturated sampling technique. The study employed a quantitative descriptive approach with multiple linear regression analysis processed using SPSS 25, including instrument feasibility testing, classical assumption testing, hypothesis testing (t-test and F-test), and the coefficient of determination test. The results show that extrinsic motivation and communication partially have no significant effect on employee performance, while personality has a significant effect and is the most dominant variable. Simultaneously, the three variables significantly affect employee performance, contributing 86.1%. These findings confirm that strengthening employees' personality traits should be a company priority in sustainably improving performance.
Analisis Peramalan Penjualan Dan Pengendalian Persediaan Bubuk Ice Cream Terhadap Pencapaian Laba Pada Toko X Rizna Nur Azizah; Erna Indriastiningsih; Yunita Primasanti
Nusantara Journal of Multidisciplinary Science Vol. 3 No. 6 (2026): NJMS - Januari 2026
Publisher : PT. Inovasi Teknologi Komputer

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

Abstract

Penelitian ini bertujuan untuk menentukan metode peramalan penjualan yang paling tepat dan teknik pengendalian bubuk ice cream yang optimal guna mengurangi biaya dan meningkatkan keuntungan. Metodologi yang digunakan adalah pendekatan kuantitatif dengan membandingkan beberapa metode peramalan, yaitu Moving Average, Exponential Smoothing, Exponential Smoothing With Trend, Trend Analysis, serta penggunaan metode Economic Order Quantity (EOQ) untuk manajemen persediaan. Pengolahan data peramalan menggunakan software QM for Windows V5. Hasil penelitian menunjukkan bahwa metode peramalan terbaik untuk toko X adalah menggunkan metode Exponential Smoothing With Trend (alpha=0,9 dan beta=0,1) dengan nilai akurasi MAPE sebesar 18,28% untuk produk cone dan 16,64% untuk sundae, yang dikategorikan dalam tingkat akurasi "Baik". Analisis pengendalian persediaan menggunakan metode EOQ menghasilkan kuantitas pemesanan optimal sebesar 72,48 kg dengan frekuensi pemesanan sebanyak 29 kali per periode. Penerapan metode ini terbukti efisien karena mampu mengurangi biaya persediaan sebesar Rp 675.159,63 untuk setiap kali pesan dibandingkan dengan kebijakan toko sebelumnya. Kesimpulan dari penelitian ini adalah bahwa integrasi antara peramalan yang akurat dan pengendalian persediaan yang sistematis memberikan dampak positif yang signifikan terhadap pencapaian laba melalui efisiensi biaya operasional.
Pengaruh Sistem Reward, Digitalisasi, Dan Metode Kampanye Audio-Visual Terhadap Tingkat Kepedulian Keselamatan Pekerja Zia Ulhaq; Erna Indriastiningsih; Yunita Primasanti
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 1 (2024): Januari : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i2.193

Abstract

XYZ is a multi-disciplinary company operating in the fields of mining contracts, engineering, procurement and construction as well as oil and gas services. This business entity, which has been established since 1972, has a strong commitment to Occupational Safety and Health (K3) which has become a culture in every element of the company. Basically, K3 is an effort to prevent/avoid/reduce accidents by stopping/removing/eliminating risks (risks). K3 is one of the requirements for increasing employee work productivity, this is closely related to achieving work or production targets. This research was conducted at the company PT. XYZ in the Balikpapan area. The aim of this research is to measure the level of employee concern for K3, with the efforts that the company has made through the rewards system, digitalization and audio-visual campaign methods. The research population is employees of PT. XYZ in the Balikpapan area. Sampling was carried out using a two-stage multi-stage cluster random sampling technique. The first stage is separated based on department cluster; Asset Management, SHE, SCM, HCBS, and Finance. The second stage is PT employees. XYZ is separated based on work environment stratification; office and field. Respondent data was analyzed with SEM-PLS using Smart PLS 3.0 software. The model developed illustrates that the rewards system, digitalization and audio-visual campaigns have a positive influence on worker safety motivation and indirectly influence worker safety behavior through worker safety motivation which acts as a mediating variable. Meanwhile, work safety motivation has a positive effect on work safety behavior.
Analisis Pengendalian Kualitas untuk Mengurangi Cacat Produk 3D VR (Virtual Reality) Garment dengan Menggunakan Metode Six Sigma Saroafifa Indriani; Yunita Primasanti; Erna Indriastiningsih
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 5 (2024): September : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i5.493

Abstract

Pan Brothers Tbk is one of the garment companies that adopted garment production in the form of 3D VR (Virtual Reality) as a garment prototype in Indonesia. In the process of making 3D VR products, many defective products must be revised. The study aims to implement the Six Sigma method and suggest improvements to reduce defects in 3D VR garment products using the Six Sigma method with the stages of defining, measuring, analyzing, improving, and controlling. In the define stage, the identification of the production process using the SIPOC diagram and identifying the type of defect. In the measure stage, the DPMO and sigma value calculations are carried out. The most defects are fitting not balanced and properly with a DPMO value of 269619.2 and a sigma value of 2.11. In the analysis stage with a fishbone diagram shows the factors that cause defects, namely man, machine, material, method, and environment. In the improvement stage, suggestions for improvements are given to reduce defects in 3D VR garment products. In the control stage, quality control is carried out by conducting internal training, upskilling, creating inspection report forms, adding teams to the QC division, and adding SOPs for the 3D VR producing process.
Analisa Risiko K3 dengan Metode Job Safety Analysis (JSA) dan Risk Assessment pada Proses Mesin Sizing di PC GKBI Medari Sleman Muh. Dawami Sholichin; Yunita Primasanti; Erna Indtriastiningsi; Bekti Nugrahadi; Anita Oktaviana Trisna
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 2 (2025): Maret: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i2.781

Abstract

Occupational Health and Safety (OHS) is a crucial aspect of the textile industry to ensure worker protection and maintain smooth production processes. This study aims to identify and analyze potential occupational accident risks in the sizing machine process. The methods used in this research are Job Safety Analysis (JSA) and Risk Assessment to evaluate workplace hazards that may disrupt operations. The results indicate several major risks in the sizing process, including mechanical hazards due to direct contact with machines, ergonomic hazards caused by improper working postures, and chemical hazards from exposure to cotton dust and sizing solution vapors. The main risk factors include human aspects, the work environment, and machinery. The recommended improvements in this study include enhancing work supervision and control, providing safety training for workers, optimizing workplace ergonomics, and conducting regular machine maintenance to reduce accident risks. The proper implementation of safety strategies is expected to improve production efficiency and create a safer and more conducive work environment.
Pemilihan Supplier Urea Menggunakan Metode Analytic Network Process : (Studi Kasus di PT. Delta Setia Sandang Asli Tekstil 1) Anindya Manggar Iwarani; Yunita Primasanti; Bekti Nugrahadi
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 2 (2025): Maret: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i2.791

Abstract

Supplier selection is a strategic element in supply chain management to ensure operational efficiency and business sustainability. This study aims to determine the best urea supplier for PT DSSA 1, a textile company specializing in dyeing and finishing processes, using the Analytic Network Process (ANP) method. This method was chosen for its ability to systematically analyze interdependencies among criteria, leading to more accurate and comprehensive decision-making. Data were collected through direct observation, in-depth interviews with internal company sources, and relevant literature reviews. The analysis was based on five main criteria: quality, price, service, delivery, and flexibility, each further broken down into sub-criteria. The results indicate that quality is the most critical criterion, with the highest weight of 23.19%, followed by price, service, and delivery, each with relatively balanced weights of 19.93%. Flexibility, although ranked last with a weight of 17.01%, remains relevant, especially for urgent orders. Based on the analysis, Supplier A was identified as the best choice with the highest overall weight, followed by Supplier B and Supplier C. This study provides practical contributions by offering strategic recommendations for PT DSSA 1 in selecting suppliers that support production efficiency and business sustainability. The study is limited in the scope of criteria and the number of suppliers analyzed. Future research is recommended to explore more variables, expand the sample size, and consider the implementation of digital technologies to optimize the supply chain.
Co-Authors Abed Rozaq Agung Widiyanto Fajar S. Agung Widiyanto Fajar Sutrisno agung_sedayu hadi_purnomo Alvin Aprillia Andromedha Wiratama Anindya Manggar Iwarani Anita Oktaviana Trisna Bekti Nugrahadi Bekti Yunanto Cahya Widya Pratama Christian Bionley Santoso Destina Paningrum Devi, Anita Oktaviana Trisna Diah Ayu Purwitasari Erna Indtriastiningsi Evelyne Henny Lukitasari Fitriyadi, Farid Indah Wahyu Indriastiningsih, Erna Muh. Dawami Sholichin Nasyita Vivi Amalia Noor Nailie Azzat Nor sholikin Rachmat Hendratmoko Ratna Sekar Ayu Restu Nawaf Bayu Ilham Rizna Nur Azizah Saroafifa Indriani Zia Ulhaq