JURNAL RISET DAN APLIKASI TEKNIK INDUSTRI
Jurnal Riset dan Aplikasi Teknik Industri merupakan jurnal nasional yang mengangkat tulisan-tulisan penelitian dalam disiplin ilmu Teknik Industri. Terbit di tahun 2022 dengan frekuensi penerbitan sebanyak 3 kali dalam setahun yaitu pada bulan April, Agustus, dan Desember. Penerimaan naskah paling lambat 1 bulan sebelum bulan penerbitan atau akan diterbitkan di periode berikutnya.
Study Program of Industrial Engineering, Udayana University
Anda diperbolehkan: Berbagi — menyalin dan menyebarluaskan kembali materi ini dalam bentuk atau format apapun; untuk kepentingan apapun, termasuk kepentingan komersial. Adaptasi — menggubah, mengubah, dan membuat turunan dari materi ini untuk kepentingan apapun, termasuk kepentingan komersial. Pemberi lisensi tidak dapat mencabut ketentuan di atas sepanjang Anda mematuhi ketentuan lisensi ini. Berdasarkan ketentuan berikut: Atribusi — Anda harus mencantumkan nama yang sesuai , mencantumkan tautan terhadap lisensi, dan menyatakan bahwa telah ada perubahan yang dilakukan . Anda dapat melakukan hal ini dengan cara yang sesuai, namun tidak mengisyaratkan bahwa pemberi lisensi mendukung Anda atau penggunaan Anda. BerbagiSerupa — Apabila Anda menggubah, mengubah, atau membuat turunan dari materi ini, Anda harus menyebarluaskan kontribusi Anda di bawah lisensi yang sama dengan materi asli. Tidak ada pembatasan tambahan — Anda tidak dapat menggunakan ketentuan hukum atau sarana kontrol teknologi yang secara hukum membatasi orang lain untuk melakukan hal-hal yang diizinkan lisensi ini. Pemberitahuan: Anda tidak perlu menaati lisensi untuk bagian materi ini yang telah berada di bawah domain publik atau untuk penggunaan yang diizinkan di bawah pengecualian atau pembatasan . Tidak ada jaminan yang diberikan oleh lisensi ini. Lisensi ini mungkin tidak memberikan izin yang sesuai dengan tujuan penggunaan Anda. Sebagai contoh, hak-hak lainnya seperti hak atas potret, hak atas privasi, atau hak moral dapat membatasi penggunaan materi berlisensi CC.
Perancangan Prototipe Sistem Informasi Pengadaan Barang Berbasis Website Pada Divisi Logistik Dengan Metode Waterfall
Proses pengadaan merupakan aktivitas penting dalam mendukung kelancaran operasional perusahaan, khususnya pada Unit Pengadaan di Divisi Logistik PT Z. Proses penyampaian informasi status pengadaan yang dilakukan secara manual akibat permintaan informasi tambahan per hari menimbulkan duplikasi pekerjaan dan ketidakefisienan komunikasi. Penelitian ini bertujuan untuk merancang prototipe sistem informasi pengadaan barang berbasis website yang mampu menyajikan informasi secara real-time dan terstruktur. Sistem informasi yang dibuat menggunakan metode waterfall dengan meliputi tahap analisis kebutuhan, desain sistem menggunakan UML yakni use case diagram dan activity diagram, implementasi antarmuka dengan aplikasi Figma, serta pengujian menggunakan metode black box. Hasil rancangan sistem meliputi beberapa modul utama seperti Dashboard, Monitoring Progress, Monitoring Budget, Checksheet, dan List Vendor. Hasil pengujian menunjukkan bahwa sistem berfungsi sesuai dengan kebutuhan pengguna. Prototipe ini diharapkan dapat meningkatkan efisiensi komunikasi dan mempermudah transparansi informasi dalam proses pengadaan barang pada lingkungan Unit Pengadaan di Divisi Logistik PT Z.
Copyright (c) 2026 JURNAL RISET DAN APLIKASI TEKNIK INDUSTRI https://creativecommons.org/licenses/by/4.0
Perancangan SOP pada Pelayanan Pengiriman Domestic Trucking Dengan Pendekatan FMEA di PT TLS Express Logistics
Pelayanan pengiriman domestic trucking di PT Total Lintas Semesta masih menghadapi berbagai kendala operasional serta belum didukung oleh Standar Operasional Prosedur (SOP) yang baku. Penelitian ini bertujuan untuk mengidentifikasi potensi kegagalan proses dan merancang SOP berbasis risiko menggunakan metode Failure Mode and Effects Analysis (FMEA). Metode penelitian dilakukan melalui studi literatur, observasi, wawancara, dan kuesioner, dilanjutkan dengan penilaian Severity, Occurrence, dan Detection untuk memperoleh nilai Risk Priority Number (RPN). Hasil penelitian menunjukkan terdapat 13 kendala operasional dengan nilai kritis RPN sebesar 147,2, di mana lima kendala termasuk kategori risiko tinggi, yaitu kemacetan pada rute tertentu, ketidaklengkapan surat izin barang, ketidaklengkapan dokumen faktur pajak, perubahan rute pengiriman, serta keterlambatan pembayaran. Berdasarkan hasil tersebut, dirancang SOP umum dan SOP inspeksi sebagai pedoman kerja preventif untuk meningkatkan konsistensi proses dan kualitas pelayanan domestic trucking.
Evaluasi Penerapan Aplikasi COS (Compliance Online System) dalam Memudahkan Pengelolaan Gratifikasi pada PT PLN Nusantara Power
Compliance Online System (COS) PLN merupakan aplikasi bantu PLN untuk menerapkan SNI ISO 370001:2016 Sistem Manajemen Anti Penyuapam (SMAP). Evaluasi penerapan aplikasi Compliance Online System (COS) di PT PLN Nusantara Power bertujuan untuk menganalisis peran Divisi Compliance Management dalam pengelolaan gratifikasi. Penelitian ini menggunakan metode deskriptif kuantitatif, hasil observasi menunjukkan efektivitas aplikasi yang signifikan melalui penurunan tren laporan gratifikasi dari 38 laporan di tahun 2024 menjadi 23 laporan pada pertengahan 2025. Selain itu, tingkat kepatuhan konfirmasi melonjak hingga 98,2%, yang menegaskan minimnya kejadian gratifikasi maupun konflik kepentingan di internal perusahaan. Secara keseluruhan, aplikasi COS terbukti mampu memperkuat transparansi, membangun budaya antikorupsi, dan menjamin kepatuhan regulasi secara langsung di lingkungan kerja.
Usability Evaluation of the Mendeley Website Using System Usability Scale (SUS)
A scientific paper is a writing that follows scientific principles and research ethics, supported by reference citations. Mendeley facilitates reference management; however, many students are not yet accustomed to using it. This study aims to evaluate the use of Mendeley and identify areas for improvement. The research method employed usability testing with the System Usability Scale (SUS) instrument. Statistical testing was also conducted, involving 24 students from the Industrial Engineering Program at Udayana University. Participants completed five task scenarios related to Mendeley features. Data on system effectiveness and efficiency were collected during the trials. The results show that Mendeley achieved an SUS score of 72.1, indicating an acceptable usability level with a Grade C and a “good” adjective rating. System effectiveness reached 100%, with all participants completing all tasks. Efficiency evaluation showed a rate of 0.177 goals/second, meaning users could complete 0.177 tasks per second. Statistical analysis indicated no significant differences in SUS scores or system efficiency based on gender. Furthermore, there was no correlation between SUS scores and system efficiency. These findings suggest that usability ratings are not directly related to system efficiency.
Perencanaan dan Optimasi Sistem Distribusi Air Bersih di Kecamatan Babahrot Berdasarkan Proyeksi Kebutuhan Masyarakat
community, especially in areas that are not fully covered by PDAM services. This study aims to analyze the potential of the Pante Rakyat Reservoir as a raw water source to support the clean water supply system in Babahrot District, Southwest Aceh Regency. The method used involves analyzing clean water needs based on existing population data, population growth projections for the next 5 to 25 years, and the reservoir's capacity. The results show that, out of a total of 12,520 people, approximately 4% of the population lacks access to clean water. Assuming a population growth rate of 3% per year, the estimated need for clean water is projected to reach 954,000 liters per day, or approximately 11.04 liters per second, and increase to 14.49 liters per second over the next five years. The water distribution plan is supported by the design of a 0.24-meter-diameter intake pipe system. The conclusion of this study suggests that the Pante Rakyat Reservoir has significant potential as a long-term raw water source and is worthy of optimization to meet the clean water needs of the Babahrot District community.
Copyright (c) 2025 JURNAL RISET DAN APLIKASI TEKNIK INDUSTRI https://creativecommons.org/licenses/by/4.0
Optimasi Peramalan Penjualan Perishable Product dengan Metode Time Series Menggunakan Software POM-QM
Perishable products are items with short shelf life. In this study, perishable product being analyzed has only one day shelf life. Therefore, an accurate forecast method is needed to avoid shortage and waste. Shortage occurs whend demand exceeds the company’s stock, resulting potential loss sales. Waste occurs when demand is lower than available stock, leading to overstock. Excexx inventory causing losses and reduces profit. This study is conducted using 2 scenarios, as shown in Table 1. Scenario 1 uses 60 days od data, while scenario 2 separates data between weekend and weekdays. Data abalysis was performed using time series method with POM-QM software. The best method is determined based on lower MAD, MSE, MAPE. The result of this study sho that separating the historical data between weekends and weekdays (scenario 2) leads to better forecasting accuracy, indicated by a lower MAPE compared to scenario 1. For weekend forecasting, the best method is exponential smoothing (Scenario 2A.2) with MAPE 10,05%. For weekday forecasting, the best method is moving average (Scenario 2B.1) with MAPE 15,40%. The research is expected to serve as a reference for company in selecting appropriate forecasting method. The goal is to help company anticipate shortage and waste in perishable products. The recommendation for company is automate the separation of weekend and weekday data to accelerate the forecasting prosess. Future research recommendation is use other forecast method and software, then consider factor consists of shelf life, promotion, national holidays, or national event.
Analisis faktor Kenaikan Harga dan Kelangkaan Ketersediaan Barang terhadap Loyalitas Pelanggan dalam Pembelian LPG 3 kg Menggunakan SEM dan FMEA
The phenomenon of price increases and scarcity of subsidized 3 kg LPG affects customer loyalty, especially in Pangkalan Setya Sidoarjo. This study integrates Structural Equation Modeling (SEM) and Failure Mode and Effects Analysis (FMEA) to analyze the factors that shape such loyalty. SEM results indicate that price increases and the scarcity of goods have a significant impact on customer loyalty. Meanwhile, FMEA is used to identify potential risks in the field, so as not to interfere with customers' positive perceptions of price increases and scarcity of availability, which have the potential to reduce loyalty. Solutions are formulated through the 5W + 1H approach. The integration of these two methods provides a theoretical and practical understanding of how to sustainably maintain customer loyalty.
Peningkatan Kapasitas Mesin Rubber Sheet Calendar Menggunakan Discrete Event Simulation: Studi Kasus di Industri Pengolahan Karet
Increasing production capacity is one of the key strategies to maintain the competitiveness of tire companies in an increasingly dynamic and competitive market. One of the critical machines in the tire production process is the Rubber Sheet Calender, which currently has a capacity of only 2700 Tires Per Day (TPD). However, based on the sales forecast for 2025, the required production capacity is expected to reach 3000 TPD. This study aims to analyze and enhance the capacity of the Rubber Sheet Calender machine using the Discrete Event Simulation (DES) approach. Data were collected through direct observation, time studies, and interviews with machine operators and production supervisors. A simulation model was developed to represent the actual condition (as-is), and improvement scenarios were tested, including adding labor, increasing buffer capacity, and reducing setup time. The simulation results show that a combination of improvements can significantly increase throughput by increasing machine speed from 4.65 to 6.31 (a 36% increase) and raising production capacity from 3360 to 4962 (a 59% increase). Thus, the improvement recommendations using DES have proven to be an effective decision-support tool for enhancing production capacity.
Quality Improvement and Defect Control in Food Packaging Industry with DMAIC Approach
Low product packaging quality in food products can negatively impact customer satisfaction and company performance. This research aims to improve the packaging quality of Shanghai Atom Peanut products using the Six Sigma method with the DMAIC approach, consisting of Define, Measure, Analyze, Improve, and Control phases. The research identified two main critical to quality factors: nonconforming product weight and poor sealing quality, which together contributed 84.3 % of total defects. Before improvement, several days showed out-of-control data, with 814 defective units out of 6480 inspected. Improvements were implemented using the FMEA method, including product standardization, sensor installation, and enhanced operator supervision. After improvement, defects were reduced to 299 units, and all data points were within control limits. The RPN decreased significantly, with D1 dropping from 336 to 175 and D2 from 294 to 100. A paired T-test confirmed the improvements were statistically significant with a P-Value of 0.001. This shows that the DMAIC approach effectively reduces defects and supports sustainable process control. For future research, evaluating the effectiveness of the Six Sigma approach across various packaging types, such as metallised packaging, carton boxes, and cans, may contribute to the development of a more efficient and market-orientated packaging process.
Pemodelan Sistem untuk Produksi Roti Gepeng pada Roti Gepeng ZB (Zebra Brother) Balikpapan Menggunakan Metode Sistem Dinamis
Bread is a practical source of carbohydrates and is popular among people of all ages, from children to adults. The flatbread factory, "ZB (Zebra Brother)," located in Balikpapan, has been operating since 2004, and its products are pretty well-known to the local community. However, this factory experiences obstacles such as the uncertainty of machine repair times, which impacts the company's ability to reschedule production, and the raw materials provided can exceed their storage period. If all subsystems of the bread production process are well understood, the process can run smoothly and meet market needs. This study aims to identify factors that influence the flat bread production system, analyze and model it to predict production performance over the next 5 years, and provide strategic recommendations to improve and increase the efficiency of the flat bread production system. Of the six scenarios, the five best scenarios were identified, namely adding machines and sales, and conducting regular promotions, which were able to maximize profits and sustainably meet market demand while facing the challenges of increasing raw material prices and growing competition.
Simulasi Sistem Pelayanan Takeaway Pada Restoran Cepat Saji
Sebuah sistem nyata dapat dimodelkan menggunakan simulasi untuk meniru perilaku dan kinerja sistem tersebut melalui model matematika atau komputer. Tujuan dari simulasi ini adalah untuk menganalisis, memahami, dan memprediksi bagaimana sistem akan berperilaku dalam berbagai kondisi tanpa perlu melakukan pengujian langsung pada sistem sebenarnya. Salah satu permasalahan umum yang kerap dihadapi dalam sistem pelayanan adalah munculnya antrean yang panjang. Permasalahan antrian ini juga ditemukan pada sebuah restoran cepat saji, yang menjadi lokasi penelitian. Antrian yang terjadi pada sistem pelayanan restoran tersebut menjadi latar belakang penelitian ini. Penelitian ini memiliki tujuan yaitu untuk meminimalkan antrian pemesanan dan waktu tunggu pada mesin kasir melalui perbaikan atau peningkatan pada elemen-elemen sistem pelayanan. Data diperoleh melalui observasi langsung dan diolah menggunakan perangkat lunak Stat::Fit dan ProModel. Hasil simulasi menunjukkan adanya kondisi blocked pada entitas dan full pada lokasi pelayanan. Berdasarkan hasil tersebut, diusulkan perbaikan berupa penambahan kapasitas mesin kasir dan penambahan shift karyawan pada jam sibuk (peak hour). Diharapkan, dengan usulan perbaikan ini, sistem pelayanan di restoran cepat saji tersebut menjadi lebih efektif dan efisien, serta mampu meningkatkan kepuasan pelanggan layanan takeaway.
Penerapan Root Cause Analysis untuk Mengidentifikasi Ketidaksesuaian Data Aktual dan Input SAP Pada Proses Operasional di PT XY
Ketidaksesuaian antara data yang sebenarnya dan data dalam sistem menjadi masalah besar dalam manajemen inventaris di perusahaan manufaktur. Penelitian ini bertujuan untuk menemukan penyebab dari perbedaan antara data fisik dan data yang ada di sistem SAP di PT XY, serta mengembangkan solusi dengan menggunakan metode Root Cause Analysis (RCA). Teknik pengumpulan data yang digunakan termasuk observasi, wawancara, dan analisis dokumen sistem serta hasil dari stock opname. Temuan penelitian menunjukkan bahwa beberapa penyebab utama dari ketidaksesuaian data adalah: kesalahan manusia karena lambatnya input data, prosedur operasional yang tidak efisien, keterbatasan teknologi dalam mencatat, dan kurangnya koordinasi antar bagian. Analisis RCA yang digabungkan dengan pendekatan 5 Whys dan fishbone diagram berhasil menemukan akar masalah secara terstruktur. Rekomendasi untuk solusi mencakup penerapan sistem pencatatan waktu nyata menggunakan aplikasi mobile, pemanfaatan barcode atau QR code, otomatisasi stock opname dengan teknologi RFID dan metode cycle counting, serta penyesuaian SOP untuk situasi operasional yang mendesak. Diharapkan bahwa dengan menerapkan solusi ini akan meningkatkan akurasi data, efisiensi proses operasional, dan kehandalan sistem informasi di perusahaan
Perencanaan Dan Pengendalian Persediaan Bahan Baku Produksi Underframe Kereta Menggunakan Metode Material Requirement Planning(MRP)
Penelitian ini bertujuan untuk menganalisis sistem perencanaan dan pengendalian persediaan bahan baku underframe pada produksi Kereta 16TS KRL KCI di PT. ABC Permasalahan utama yang dihadapi perusahaan adalah ketidakteraturan pasokan bahan impor yang menyebabkan keterlambatan produksi dan peningkatan biaya persediaan. Untuk mengatasi hal tersebut, digunakan pendekatan Material Requirement Planning (MRP) sebagai metode perencanaan kebutuhan material yang mempertimbangkan data Bill of Material (BOM), jadwal produksi (Master Production Schedule), harga bahan baku, dan data inventori. Penelitian ini juga membandingkan tiga metode lot sizing, yaitu Lot for Lot (LFL), Economic Order Quantity (EOQ), dan Periodic Order Quantity (POQ), guna menentukan metode yang paling efisien dalam menekan biaya persediaan. Analisis dilakukan dengan menghitung total biaya pemesanan dan penyimpanan untuk masing-masing metode. Hasil perhitungan menunjukkan bahwa metode POQ memberikan total biaya persediaan terendah sebesar Rp21.461.454, sehingga dinilai paling optimal untuk diterapkan di PT ABC. Metode EOQ juga terbukti lebih efisien dibandingkan LFL, namun belum mampu mengungguli POQ. Penerapan MRP secara keseluruhan terbukti efektif dalam membantu pengambilan keputusan pengadaan bahan baku yang lebih terstruktur, tepat waktu, dan hemat biaya. Penelitian ini memberikan kontribusi dalam optimalisasi pengelolaan persediaan, terutama pada industri manufaktur yang bergantung pada pasokan bahan baku impor.
Analisis Sifat Material SB 171 C70600 Dalam Meminimalisir Risiko Korosi Pada Tube Bundle E-3-05 A&C Pada Kilang Minyak
Penelitian ini bertujuan untuk menganalisis sifat material SB 171 C70600 dalam upaya meminimalisir risiko korosi pada komponen channel tube bundle E-3-05 A&C di kilang minyak. Pada awalnya, material SA 105 (carbon steel) direncanakan sebagai bahan fabrikasi, namun terbukti tidak cocok untuk lingkungan korosif, sehingga dipilih SB 171 C70600 sebagai pengganti. Metode yang digunakan meliputi observasi langsung, wawancara teknis, dan studi literatur terhadap spesifikasi ASME BPVC 2023. Hasil menunjukkan bahwa SB 171 C70600, yang mengandung tembaga dan nikel, memiliki ketahanan tinggi terhadap korosi, khususnya dalam lingkungan air laut, serta konduktivitas termal yang baik. Dibandingkan SA 105, SB 171 C70600 lebih unggul dari sisi ketahanan terhadap korosi, meskipun memiliki kekuatan mekanik yang lebih rendah. Pemilihan SB 171 C70600 pada bagian channel terbukti mampu menjaga efisiensi perpindahan panas, mengurangi risiko kebocoran, dan memperpanjang umur pakai komponen. Dengan demikian, penggunaan material ini sangat direkomendasikan untuk aplikasi heat exchanger yang bekerja dalam kondisi lingkungan korosif.
Analisis Pengaruh Perendaman Benda Uji Terhadap Mutu Beton Menggunakan Metode Statistical Quality Control di PT CAW
Among the various factors that can impact the strength of concrete, the curing method is a key factor. This treatment aims to maintain moisture on the concrete surface, allowing the hydration process to run optimally. Generally, hydration lasts for 28 days, allowing the concrete to reach a strength that meets the established quality standards. However, various conditions in the field are one of the factors that prevent curing from being carried out perfectly. In this study, the researcher wanted to show how the curing process affects the strength of the resulting concrete. The test used concrete samples with curing ages of 7, 14, and 28 days, along with cylindrical test objects. The test results showed that the compressive strength of the concrete increased with increasing curing age, namely 24.11 MPa (7 days), 28.42 MPa (14 days), and 32.56 MPa (28 days), meeting the design quality of 30 MPa. SQC analysis was carried out using the I diagram and MR diagram for each age group of test objects. The results showed that the entire testing process fell within the quality control limits, indicating that the curing process was considered stable. This study confirms the importance of optimal concrete curing for up to 28 days to achieve maximum compressive strength
Analisis Perencanaan Penambahan Pembangkit Tegangan Menengah di PT XYZ
The availability of a reliable and sufficient electricity supply is a crucial factor in supporting economic growth and societal activities. PT XYZ, as the state-owned company responsible for electricity generation and distribution in Indonesia, faced challenges in maintaining the balance between electricity supply and demand, including in the Bali region. As electricity consumption continued to increase, proper planning was required for managing the power system, particularly in the medium-voltage subsystem. This study aimed to forecast the peak load for the year 2025 and analyze the need for additional generation capacity in the Bali Subsystem. The method employed was Double Exponential Smoothing (DES), with parameter optimization for α and β using the Solver feature in Microsoft Excel to enhance forecasting accuracy. The data used consisted of monthly peak load values from 2024. The forecasting results indicated that the Solver method produced a peak load estimate of 1,287 MW with a MAPE value of 1.50%, which was more accurate than the initial DES method that yielded a MAPE of 5.91%. Meanwhile, the current generation capacity of 1,388 MW leaves only a 101 MW reserve margin, which is below the minimum safety threshold of 130 MW. This condition highlighted the importance of adding medium-voltage generation capacity to maintain the reliability of the Bali power system in the face of potential disturbances and future demand increases.
Perancangan Ulang Tata Letak Gudang Menggunakan Metode BLOCPLAN di PT INTAN PRIMA KALORINDO
This study aims to redesign the layout of three warehouse areas at PT Intan Prima Kalorindo, namely the inner warehouse, upper warehouse, and outer warehouse, to improve the efficiency of material flow and space utilization. The Blocplan method was used as a systematic approach to layout planning based on activity proximity (Activity Relationship Chart). Data were collected through observation, interviews, and direct measurements on site. The redesign results showed a significant improvement in efficiency across all three warehouses, with the highest R-score values of 0.60 for the inner warehouse, 0.61 for the upper warehouse, and 1.00 for the outer warehouse. Implementation was carried out gradually, with several adjustments made to accommodate actual field conditions. This research demonstrates that the Blocplan method is effective in redesigning warehouse layouts to support smooth operational performance at PT Intan Prima Kalorindo.
Analisis Penyebab Keterlambatan Produksi dan Simulasi Penjadwalan Berbasis Linear Programming di PT CS
Penelitian ini bertujuan untuk mengidentifikasi penyebab keterlambatan produksi dan menyusun simulasi penjadwalan berbasis linear programming pada PT CS, sebuah perusahaan inflight catering di Indonesia. Permasalahan keterlambatan berpotensi menyebabkan kontaminasi makanan akibat ketidaksesuaian suhu penyimpanan serta mengganggu ketepatan waktu keberangkatan pesawat. Penelitian dilakukan melalui observasi langsung, wawancara, dokumentasi, dan pengumpulan data kuantitatif dari aktivitas produksi khususnya pada stasiun kerja hot dishing. Analisis akar masalah dilakukan dengan diagram fishbone dan metode Risk Priority Number (RPN) untuk mengidentifikasi faktor dominan penyebab keterlambatan, yaitu kekurangan tenaga kerja tetap dan tidak adanya penjabaran waktu per aktivitas. Selanjutnya, dilakukan simulasi penjadwalan menggunakan pendekatan linear programming dengan memanfaatkan fitur Solver di Microsoft Excel. Tiga skenario alokasi tenaga kerja (8, 6, dan 4 kelompok kerja) dianalisis untuk memperoleh waktu optimal pemrosesan. Hasil simulasi menunjukkan bahwa pengelompokan 8 pekerja ke dalam 4 kelompok kerja menghasilkan waktu paling optimal sebesar 1205,49 detik, dibandingkan skenario lainnya. Penelitian ini menyimpulkan bahwa pendekatan sistematis dalam identifikasi akar masalah dan simulasi berbasis optimasi matematika mampu memberikan solusi efektif dalam pengurangan keterlambatan produksi. Rekomendasi selanjutnya mencakup perumusan standar waktu operasional dan evaluasi kompetensi tenaga kerja secara berkala.
Penerapan Metode Lean Six Sigma Dmaic Dalam Optimalisasi Overcapacity Gudang Chemical Plant Marunda PT Smart Tbk.
PT SMART Tbk is one of the largest palm oil processing companies in Indonesia. In its production process, the company uses various types of chemicals stored in a dedicated chemical warehouse. Data shows that the pallet capacity at the chemical warehouse in the Marunda Plant frequently reaches full capacity or even overcapacity, which poses a risk of disrupting production flow, such as delays in the movement of materials and accumulation of stock. This study aims to identify the types of waste that contribute to overcapacity and determine the root causes of the problem. The research is limited to the chemical warehouse at the Marunda Plant, focusing on inbound activities for flavor products (code VO16745) and outbound activities for ingredients (code Salt 300265). Based on the analysis using Process Activity Mapping and Value Stream Mapping, the waste level in warehouse operations was found to be 56%, with a total cycle time of 3,528 seconds and a value-added time of 1,536 seconds. This waste directly contributes to overcapacity and decreases warehouse efficiency. Using the Lean Six Sigma DMAIC approach, the root causes were identified through Fishbone Diagram and Root Cause Analysis. The main contributing factors include large vendor packing sizes and minimum order quantities (MOQ), increasing annual demand, limited manpower, narrow warehouse space, small unloading doors, narrow aisles, and a lack of pallets and shelves. As a solution, it is recommended to expand the warehouse area, add more operators, enlarge the unloading doors, and increase the number of pallets and shelves to optimize operations and reduce the risk of overcapacity.
Evaluasi Usability Aplikasi Mamikos Menggunakan Metode Use Questionnaire dan Think Aloud Usability Testing
The use of mobile-based applications has become an integral part of everyday life. One very popular application in this category is Mamikos, which makes it easy to search for boarding houses online with various inspiring and user-friendly features. Even though Mamikos is well known by many groups, there are still several problems faced by users when using this application. Some users reported difficulty in navigation, inaccurate search information, and inadequate application response speed. This research aims to spread the usefulness of the Mamikos application using the Objective Evaluation method, USE Questionnaire, and Think Aloud Usability Testing. The USE Questionnaire method is used to collect quantitative data regarding usability, ease of use, ease of learning, and user satisfaction. Meanwhile, the Think Aloud Usability Testing method is used to gain qualitative insights from users as they use the application. The research results show that the Mamikos application has a good level of usability with an average score of 76% for completing tasks. The usability evaluation that has been tested shows that the Mamikos application has a feasibility score of 59% in the Usability aspect, 70% in the Ease of Use aspect, 55% in the Ease of Learning aspect, and 72% in the Satisfaction aspect. However, some navigation problems and inaccurate information retrieval were still encountered. Based on these findings, recommendations for improvements are provided to improve the user experience.
Analisis Ketidaksesuaian Data Stock Opname Material pada Gudang Material di PT UPX
Inventory management is an important component in the smooth operation of a company, especially in the energy generation sector. PKT is experiencing discrepancies between system data and physical stock opname results. These discrepancies disrupt stock control performance and can cause operational disturbances. The objective of this research is to identify the main factors contributing to data discrepancies and provide improvement recommendations using the Six Sigma approach combined with the DMAIC method (Define, Measure, Analyze, Improve, Control). This methodology is used to identify problems, measure the level of deviation, analyze root causes, create improvement solutions, and monitor the results of the improvements. The research results show that weaknesses in monitoring incoming and outgoing goods, as well as the lack of standardization in recording procedures, are the causes of data discrepancies. Recommendations for improvement include providing instructions to warehouse employees and optimizing the digital recording system.
Analisis Biaya Distribusi Semen Menggunakan Metode Distribution Requirement Planning (DRP) di PT XYZ
The construction industry and infrastructure development are crucial aspects of a country's economic advancement, with cement being a key primary material. Cement consumption in Indonesia has shown steady growth, reaching 65.2 million tons in 2021, an increase of 4.3% from the previous year. PT XYZ, a cement distributor, plays a vital role in ensuring the supply of cement in the regions of Bali, NTB, NTT, and East Kalimantan. However, the current distribution process is not optimal as deliveries are made solely based on customer demand, leading to stock shortages and high shipping costs. To address these issues, distribution will be planned and scheduled using the Distribution Requirements Planning (DRP) method. With effective scheduling and planning, customer demand will be met more efficiently, and sales performance will improve as demand is fulfilled promptly and in the right quantities. Consequently, distribution costs can be minimized. The results of the study indicate that the implementation of DRP has significantly improved distribution efficiency. Cement distribution has become organized and scheduled on a monthly basis, ensuring optimal product availability with more efficient shipping costs. Before the implementation of DRP, distribution costs totaled IDR 134,697,600,000, and this amount decreased to IDR 115,190,064,000 after the application of DRP, reflecting a cost savings of IDR 19,507,536,000, or 14%. Thus, the application of DRP has enabled the optimization of inventory management, enhanced operational efficiency, and significantly reduced distribution costs.
Perancangan Sistem Evaluasi Kinerja Karyawan Berbasis Kompetensi (Studi Kasus Di PT. Pelindo Nusra)
This journal discusses the competency-based employee performance evaluation. Objectivity is to enhance the competency-based employee performance evaluation system, in supporting the company's goals. The issue is the lack of efficiency and accuracy in the current manual performance evaluation system. This system is deemed inadequate in providing an accurate depiction of employee performance, thereby hindering development and motivation efforts. The proposed solution in this research is to integrate the performance evaluation system with the digital platform Portaverse. This step is expected to improve the efficiency and accuracy of evaluations, while also simplifying the process of collecting and analyzing employee performance data and the evaluation process more transparent and objective. With a better evaluation system, employees will be more motivated to develop and contribute optimally. Competency-based performance evaluation is seen as more relevant compared to traditional methods, as it better reflects employees' skills and potential.
Analisis Pemilihan Supplier Menggunakan Metode AHP (Analytic Hierarchy Process) pada UMKM Salad Sunday Momsky
Pemilihan supplier merupakan faktor penentu yang sangat penting untuk memfasilitasi kelancaran perusahaan. Tujuan dari penelitian ini adalah untuk mengkaji proses pemilihan supplier buah di UMKM Salad Sunday Momsky dengan menggunakan metodologi Analytical Hierarchy Process (AHP). Metode AHP dipilih karena kemampuan metode tersebut untuk mengatasi situasi multi – kriteria yang rumit. Data primer dikumpulkan melalui pengisian kuesioner dan wawancara yang dilakukan dengan pemilik UMKM Salad Sunday Momsky. Temuan menunjukkan bahwa kriteria kualitas barang memiliki signifikansi tertinggi dalam pemilihan supplier, diikuti oleh hubungan karyawan, perilaku, harga barang, adanya ikatan timbal balik, dan lokasi geografis. Setelah menganalisis data, Pasar Pula Sari Sanglah terpilih sebagai supplier buah yang dipiluh oleh UMKM Sunday Salad Momsky dengan nilai sebesar 0,65.
Gusti Ayu Made Indah Sandyani Pramadanthi
Analisis Pengadaan Kebutuhan Chemical Water Detector (CWD) pada Kegiatan Penyaluran dengan Menggunakan Metode Forecasting di DPPU Ngurah Rai
Depot Pengisian Pesawat Udara (DPPU) Ngurah Rai merupakan bagian operasional PT Pertamina Patra Niaga dengan tanggung jawab untuk menyalurkan Bahan Bakar Minyak Penerbangan (BBMP) demi menunjang kebutuhan pesawat udara di Bandara Internasional Ngurah Rai. Kualitas BBMP menjadi faktor krusial dalam keselamatan penerbangan sehingga dilakukan pengujian mutu secara konsisten, salah satunya deteksi air tersuspensi menggunakan Chemical Water Detector (CWD). Permasalahan yang dihadapi adalah persediaan CWD yang kurang optimal. Hal ini disebabkan oleh proses pengadaan CWD yang belum dilakukan secara tepat dan sistematis sehingga terjadi kelebihan ataupun kekurangan persediaan. Penelitian ini dilakukan dengan tujuan untuk meningkatkan efektivitas proses pengadaan CWD melalui penerapan metode forecasting atau peramalan. Peramalan adalah sebuah metode yang diterapkan guna memprediksi permintaan di masa depan, untuk jangka waktu yang panjang dan pendek dengan memanfaatkan data historis sebagai dasar perhitungan. Dalam rangka memperoleh hasil analisis kebutuhan CWD yang terbaik, penelitian ini membandingkan dua metode peramalan, yaitu Double Exponential Smoothing Holt’s serta Trend Analysis. Berlandaskan pada peramalan yang dihasilkan, metode peramalan yang terbaik adalah Trend Analysis karena menunjukkan tingkat error prediksi yang lebih rendah dibandingkan Double Exponential Smoothing Holt’s. Hal ini dibuktikan oleh nilai MAD sebesar 375, nilai MSE sebesar 178.843, dan MAPE sebesar 12%. Selanjutnya adalah melakukan perhitungan safety stock atau persediaan pengaman untuk mengurangi risiko terjadinya stock out. Perusahaan dapat menetapkan batas minimum stok CWD sebanyak 13 kotak. Hasil peramalan kebutuhan CWD memberikan gambaran mengenai potensi kejadian di masa yang akan datang dan menjadi acuan dalam perencanaan pengadaan perusahaan.
Analisis Material Requirement Planning dalam Pengendalian Persediaan Bahan Baku pada PT X
PT X adalah perusahaan manufaktur yang berfokus pada pembuatan komponen otomotif berbahan dasar karet sintetis. Produk yang dihasilkan oleh PT X antara lain Oil Seal, Valve Steam Seal, O-Ring, dan Rubber Part. Pengendalian persediaan pada PT X dianggap kurang optimal karena karena masih adanya bahan baku yang mengalami overstock. Overstock pada PT X menyebabkan terjadinya pemborosan modal kerja yang tertanam dalam persediaan bahan baku. Penelitian ini bertujuan untuk mengetahui peramalan permintaan bahan baku KS-25 di PT X dan mengetahui penerapan metode Lot Sizing yang optimal dalam pengendalian persediaan bahan baku KS-25 di PT X. Penelitian ini dilakukan dengan peramalan permintaan serta analisis lot sizing dengan metode Economic Order Quantity, Periodic Order Quantity, Lot for Lot dan Min-max. Metode lot sizing yang memberikan total inventory cost terendah yaitu metode POQ dengan biaya sebesar Rp 837.982.027. Hasil peramalan pada penelitian ini menggunakan tiga metode penelitian yaitu metode moving average, weighted moving averages, dan exponential smoothing. Hasil yang didapatkan menunjukkan bahwa metode exponential smoothing (α=0,8) merupakan hasil terbaik dengan jumlah error terkecil.
Pengendalian Kualitas Produk Beras Menggunakan Metode Seven Tools di Perumda Dharma Shantika Tabanan
Konsumen sangat mempertimbangkan kualitas saat memilih banyak produk. Peningkatan kualitas dalam dilakukan dengan menggunakan metode seven tools. Industri beras menjalankan berbagai proses untuk memastikan bahwa produk yang dihasilkan tidak memiliki kecacatan. Salah satu proses ini adalah pengendalian kualitas. Control chart menunjukkan bahwa meskipun proses produksi masih dalam batas kendali, ada peluang untuk menurunkan standar kecacatan lebih lanjut. Hasil diagram pareto jenis kecacatan yang sering terjadi adalah kotoran pada beras diikuti bulir beras remuk dan kemasan rusak. Fishbone diagram bertujuan untuk menganalisis faktor utama kecacatan produk. Terdapat empat faktor utama yaitu manusia, mesin, metode, dan material. Rekomendasi solusi yang diberikan berdasarkan hasil dari analiasis diagram fishbone meliputi peningkatan pelatihan dan pengawasan untuk karyawan, pemeliharaan preventif dan perbaikan rutin untuk peralatan, standarisasi prosedur pengemasan dan pemilihan bahan baku, serta penyimpanan yang tepat dan pengujian kualitas bahan baku dan kemasan. Implementasi solusi ini diharapkan dapat mengurangi tingkat cacat produk, meningkatkan kualitas produk, dan meningkatkan kepuasan pelanggan.
Pengendalian Kualitas Produk Strawberry Powder Pada PT Z Menggunakan Metode Seven Tools
The development of time and technology significantly impacts business competition. Companies strive to produce high-quality products to remain competitive. It is crucial to control the products they produce to achieve this goal. This is something that PT Z, as a company that consistently maintains the quality of its products and prioritizes customer satisfaction, should already be doing. However, in 2022, it was noted that one of their products, strawberry powder, experienced a decline in quality. This was evidenced by records from the quality control department and complaints from consumers, citing damaged labels, leaking packaging, and differences in color and taste compared to expectations. In light of these issues, this research aims to further analyze the root causes of defects using the seven tools method and provide recommendations for improvement in the form of the 5W + 1H to PT Z, to prevent similar defects from occurring in the future. Based on the analysis, it was found that the causes of defects are attributed to human factors, machinery, materials, environment, and methods used.
Manajemen Pengadaaan Kemasan UMKM Toishii Takoyaki Menggunakan Metode Analytycal Hierarcy Process (AHP)
Takoyaki is a famous and popular traditional Japanese dish, found in street markets and Japanese restaurants alike. High entrepreneurs make takoyaki widely sold in Indonesia. One of the UMKM that produces takoyaki is Toishii Takoyaki. Toishii Takoyaki offers several options for takoyaki menu quantities, which require different packaging. The varied packaging needs make Toishii Takoyaki business owners need to choose the most optimal supplier in terms of quality, price, distance, production time, and product completeness. The Analytical Hierarchy Process (AHP) method is one of the decision-making methods for selecting packaging suppliers in the Toishii Takoyaki UMKM problem. The results of calculations using the AHP method indicate that Alfatih Sablon is the most optimal supplier, with the most significant weight value of 0.50. The second optimal solution is an online shop, which has a weight value of 0.28, and the third optimal solution is Digi Bali with a weight value of 0.21.
Desain Ulang Troli Pengering Mie dengan Metode Antropometri
Comfortable work can make it easier for employees to work. Good working processes can improve company performance and employees will work comfortably in their jobs. The noodle dryer currently used in industry X has employees complaining of pain in their body parts. Based on data collection in the Nordic Body Map form, this complaint arose due to the inappropriate height of the noodle hangers on the trolley. This research aims to reduce the level of complaints from workers by redesigning the noodle drying trolley in Industry X. This research uses an anthropometric approach to redesign and obtain an ergonomic trolley height. The trolley redesign is based on calculating percentile data to obtain a more ergonomic trolley height. After calculating the proper height of the trolley using the worker’s body height, the result of the ergonomic trolley height is 163.4 cm. These results are then applied to the new trolley height, until the height of the trolley adjusts to the body height of the workers, thereby reducing the level of worker complaints. The results obtained in this study were a reduction in complaints from 26 to 4 complaints (reduction by 84.61%).