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Pengendalian Kualitas Industri Pembuatan Tahu Menggunakan Seven Tools dan Evaluasi Good Manufacturing Practices Lailatul Musfiroh; Sugoro Bhakti Sutono; Rangga Primadasa; Saufik Luthfianto
JURNAL ENGINEERING Vol. 15 No. 1 (2024)
Publisher : Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/jureng.v15i1.8

Abstract

Industri Rumah Tangga (IRT) Ibu Mini merupakan industri yang bergerak dalam bidang pangan dengan produk tahu putih. Penelitian ini bertujuan untuk mengetahui faktor yang menyebabkan kecacatan pada produk tahu, mengsulkan tindakan perbaikan guna meminimasi kecacatan yang terjadi pada produk tahu, dan melakukan evaluasi penerapan Good Manufacturing Practices (GMP) di IRT Ibu Mini. Penelitian ini menggunakan pendekatan Seven Tools dan Peraturan Pedoman Good Manufacturing Practices yang dikeluarkan oleh Menteri Perindustrian Republik Indonesia Nomor 75/M-IND/PER/7/2010 Tahun 2010. Hasil dari penelitian ini menunjukkan kecacatan tahu disebabkan oleh kualitas kedelai, suhu saat memasak turun, air yang kurang bersih, saringan bocor, tungku perebusan yang kurang bersih, dan karyawan yang kurang fokus. Jenis-jenis cacat pada tahu yaitu tahu berbintik sebesar 40%, cacat ukuran tahu 29%, dan tahu kurang kenyal 32%. Evaluasi penerapan cara produksi pangan yang baik sesuai pedoman GMP memperoleh skor 55%. Ini artinya penerapan pedoman GMP pada IRT Ibu Mini masih diperlukan perbaikan agar kualitas serta keamanan produk tahu terjaga dengan baik.
Interrelationship Performance Indicators Model of Sustainable Procurement in Higher Education Rangga Primadasa; Dina Tauhida
Spektrum Industri Vol. 19 No. 2: October 2021
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v19i2.21464

Abstract

Sustainable procurement is developing among practitioners and academics, but not many have done this research with the object of higher education institutions. This study succeeded in obtaining twelve indicators of sustainable procurement in higher education in Indonesia. The interpretive structural modeling method is used to model these indicators so that a four-level model is obtained, where the first level consists of seven indicators, the second level is one indicator, the third level is two indicators, and the fourth level is two indicators. In addition, the twelve indicators were also grouped using MICMAC analysis into four quadrants. Eight indicators are included in the autonomous indicators quadrant, four indicators are included in the independent indicators quadrant. Nothing is included in the dependent indicators and linkage indicators quadrant. This study proposes to the management of higher education to improve the performance of sustainable procurement, starting from level four indicators, namely the existence of routine monitoring and sustainability criteria (P12) and there is awareness of sustainable procurement on campus internals (P2).
ANALISIS RESIKO MUSCULOSCELETAL DISORDER PADA TATA LETAK LCD PROYEKTOR RUANG KULIAH FAKULTAS EKONOMI & BISNIS UNIVERSITAS MURIA KUDUS Akh Sokhibi; Rangga Primadasa
Spektrum Industri Vol. 17 No. 2: Oktober 2019
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v17i2.13705

Abstract

A class room was a room where the face to face learning process took place in the form of lectures, discussions, tutorials, seminars, etc. The class room must be equipped with facilities and infrastructure including table and chair for lecturer and students, LCD projector and white board. The layout of equipment in the class room sometimes dis not consider the ergonomics aspects, so that it might cause musculoskeletal disorder to the students. Descriptive quantitative methods were used in this study. A randomsampling using the Nordic Body Map (NBM) questionnaire was used for data collection. Then, the data were analyzed by the contingency coefficient test which was interpreted in the form of a risk relationship picture of the musculoskeletal disorder in the class room of the Faculty of Economics and Business, Muria Kudus University. The results of thisreseartch were the LCD projector layout did not consider ergonomic aspects. The results of the Nordic Body Map Questionnaire showed that there were 14% high risk, 14% moderate risk and 72% small risk. There was a 14% relation between the location of the LCD Projector in the class room of the Faculty of Economics and Business, University of Muria Kudus, on the user's musculoskeletal disorder.
PENERAPAN TEKNOLOGI SEDERHANA: PEMBUATAN ALAT PEMBERSIH BUILDING BLOCK DI IT SMART KUDUS Huda, Syaiful; Ilma, M. Zidni; Hefrizan, Alvin; Wiranata, David Sugitario; Christata, Bellachintya Reira; Prayogo, Adhie; Primadasa, Rangga
Jurnal Abdi Insani Vol 12 No 8 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i8.2785

Abstract

Permasalahan kebersihan building block LEGO di IT Smart Kudus menjadi tantangan serius dalam menjaga kesehatan dan kenyamanan peserta didik. Proses pembersihan manual yang memakan waktu hingga dua jam dinilai tidak efisien dan berpotensi menimbulkan kelelahan pada staf pengajar. Kondisi ini berdampak pada berkurangnya afektifitas kegiatan belajar serta menimbulkan resiko kesehatan akibat paparan kotoran dan debu. Diperlukan solusi inovatif berupa penerapan teknologi sederhana untuk menjawab permasalahn tersebut. Tujuan kegiatan pengabdian masyarakat ini adalah merancang dan mengimplementasikan alat pembersih building block berbasis teknologi sederhana yang sesuai kebutuhan mitra. Metode kegiatan meliputi identifikasi permasalahan melalui wawancara, perancangan alat menggunakan pendekatan Quality Function Deployment (QFD), penerapan aspek ergonomi dan antropometri, serta pembuatan dan implementasi alat secara langsung di IT Smart Kudus. Evaluasi dilakukan untuk menguji efektifitas pembersihan dan kenyemanan penggunaan alat. Hasil kegiatan menunjukkan alat pembersih building block mampu meningktkan efisiensi pembersihan hingga 50 %, dari dua jam menjadi satu jam. Mekanisme sikat otomatis berbahan non-abarsif terbukti mampu membersihkan tanpa merusak LEGO. Penerapan aspek ergonomic menjadikan alat mudah digunakan oleh staf dengan resiko kelelahan lebih rendah. Implementasi juga memperlihatkan adanya peningkatan standar kebersihan, kenyamanan, serta kesehatan lingkungan belajar. Selain menghasilkan inovasi teknis, kegiatan ini turut memperkuat kolaborasi edukatif antara perguruan tinggi dan Lembaga mitra. Kesimpulan dari kegiatan ini adalah penerapan teknologi sederhana mampu menjadi solusi kreatif dan aplikatif untuk meningkatkan efisiensi serta kualitas kebersihan media pembelajaran di IT Smart Kudus.
Barrier Factors Model of Innovation Process in the Furniture Industry Supply Chain (Case Study at PT. Duwa Atmimuda) Pratiwi, Wiwik; Primadasa, Rangga; Asri, Vikha Indira; Waluyo , Wisnu Budi
Spektrum Industri Vol. 21 No. 1 (2023): Spektrum Industri - April 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v21i1.55

Abstract

PT. Duwa Atmimuda is a company engaged in manufacturing in producing stainless metal products and furniture frames. PT. Duwa Atmimuda is experiencing problems with the lack of application of technology in terms of marketing, seen from the absence of social media utilization, causing the company to find it difficult to expand market share. This study aims to identify the factors that hinder the company's innovation process using the Interpretive Structural Modeling (ISM) method and classify the model using MICMAC Analysis. The results showed that the ISM model of the barrier factor for the innovation process in the furniture industry supply chain has 6 levels. After the ISM model is obtained, the next process is to classify each variable indicator on the barrier factors of the innovation process with the help of MICMAC analysis. There are 4 classification clusters, the first cluster (autonomous indicators) has one indicator. While in the second cluster (dependent indicators) there is one indicator. In the third cluster (linkage indicators) there are 9 indicators. In the fourth cluster (independent indicators) there is one indicator. The third cluster (linkage indicators) is the highest cluster of indicator spreads where this indicator has high control and dependence. The conclusion of this study is that there are 12 inhibiting factors in the innovation process which are arranged into six levels of the ISM model and in the MICMAC analysis the third cluster is the highest distribution cluster.
Usulan Rute Pengiriman Es Kristal Menggunakan Algoritme Sweep dan Algoritme Nearest Neighbor (Studi Kasus: UMKM XYZ Kudus) Putri, Nadia Rara; Christata, Bellachyntia Reira; Primadasa, Rangga
Jurnal Rekayasa Industri (JRI) Vol. 7 No. 2 (2025): Edisi Oktober
Publisher : Program Studi Teknik Industri, Fakultas Sains dan Teknologi, Universitas Widya Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37631/jri.v7i2.1824

Abstract

Efisiensi pada distribusi menjadi faktor penting dalam menjaga keberlanjutan dan daya saing usaha, terutama bagi UMKM yang bergerak di bidang produk dengan umur simpan pendek seperti es kristal. UMKM XYZ Kudus menghadapi kendala dalam kegiatan distribusi karena belum memiliki sistem rute pengiriman yang terstruktur. Selama ini, penentuan rute dilakukan berdasarkan intuisi pengemudi tanpa analisis jarak dan kapasitas kendaraan yang optimal, sehingga menyebabkan jarak tempuh lebih jauh, waktu pengiriman tidak efisien, serta biaya operasional meningkat. Penelitian ini bertujuan untuk mengoptimalkan rute distribusi menggunakan Algoritme Sweep dan Algoritme Nearest Neighbor sebagai solusi dalam meningkatkan efisiensi operasional dan menekan biaya distribusi. Penelitian dilakukan dengan pendekatan kuantitatif melalui pengumpulan data lokasi outlet, jarak antar titik, serta kapasitas armada. Algoritme Sweep digunakan untuk mengelompokkan outlet berdasarkan kedekatan geografis dan batas kapasitas kendaraan, sedangkan Algoritme Nearest Neighbor digunakan untuk menentukan urutan kunjungan dengan jarak tempuh terpendek pada setiap klaster. Hasil penelitian menunjukkan bahwa total jarak distribusi dapat dikurangi dari 235,529 km menjadi 213,826 km, dengan efisiensi jarak sebesar 21,703 km per hari. Biaya distribusi turun dari Rp135.164 menjadi Rp111.733 per hari atau terjadi penghematan sebesar 17,33%. Penerapan kedua Algoritme ini terbukti efektif dalam menyeimbangkan beban kerja antar armada, menghemat bahan bakar, serta mempercepat waktu pengiriman. Penelitian ini merekomendasikan pengembangan lanjutan melalui integrasi Geographic Information System (GIS) dan Algoritme cerdas seperti Ant Colony Optimization maupun Genetic Algorithm untuk menghasilkan manajemen rute distribusi yang lebih adaptif, akurat, dan berkelanjutan.
Determination of Distribution Routes Using the Saving Matrix Method to Minimize Shipping Costs at PT. SUKUN TRANSPORT LOGISTICS Febriyanti, Dian Erliana; Primadasa, Rangga; Bhakti Sutono, Sugoro
Spektrum Industri Vol. 20 No. 1 (2022): Spektrum Industri - April 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v20i1.18

Abstract

PT. Sukun Transport Logistics is a company engaged in shipping,logistics and also transportation vehicle rental services. Theproblems faced by PT. Sukun Transport Logistics is a lack oftransport vehicle capacity, causing the use of transport vehiclesthat are not suitable and the distribution of sub-routes is notbalanced. Therefore, to overcome these problems, it is necessaryto determine the optimal distribution route using the saving matrixmethod. The saving matrix method is a method to shortenmileage, estimate distribution time and minimize shipping costs atPT. Sukun Transport Logistics. From the results of the routeresearch in this study, it is known that the route proposal with thesaving matrix method opens 2 sub routes from the previous 3 subroutes, the total distance through the saving matrix method andthe closest calculation method is 299 km. While the total distanceof the actual route delivery to the company is 313 km. Thedistance saving of this research with the company's actual routeis 14 km or 4.47%. At the time of saving of 164 minutes or20.97%, and distribution cost savings of Rp. 141,658 or 25.53%.
Interrelationship Performance Indicators Model of Agile Supply Chain Management in Palm Oil Industry Rangga Primadasa; Bellachintya Reira Christata
Jurnal Optimasi Sistem Industri Vol. 22 No. 1 (2023): Published in May 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (315.275 KB) | DOI: 10.25077/josi.v22.n1.p1-8.2023

Abstract

This paper tries to model agile supply chain management performance indicators in the palm oil industry. The interpretative Structural Modeling (ISM) method is used to find the relationship between these indicators. The ISM stages begin with identifying indicators, compiling contextual relationships, compiling reachability matrices, compiling level partitions, compiling digraphs, and compiling ISM models. Then MICMAC analysis is used to group each of these indicators into four categories based on their driving power and dependence power. In this study, 16 hands of agile supply chain management in the palm oil industry were obtained, of which the four-level ISM model could be constructed. Two indicators are at level 4, six hands are at level 3, three indicators are at level 2, and five indicators are at level 1. Meanwhile, through MICMAC analysis, five indicators are found in the independent indicators category, six hands are in the linkage indicator category, four indicators are included in the dependent indicator category, and one indicator is in the autonomous indicator category. This research can be used by managers in the palm oil industry who want to increase agility in their supply chain. In general, indicators at level 4 can affect indicators at level 3, and so on. So that management can start fixing the indicators at level 4 first. In addition, indicators that have a driving power value in MICMAC analysis can be prioritized to improve their performance.
Hubungan antar Hambatan Green Supply Chain Management (GSCM) pada Industri Kelapa Sawit di Indonesia Rangga Primadasa; Dina Tauhida
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in April 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v19.n1.p40-49.2020

Abstract

The palm oil industry as an important industry in Indonesia is demanded to conduct business in a sustainable way, including the implementation of green supply chain management (GSCM). However, in order to implement GSCM in the oil palm industry there are many barriers, but not yet comprehensively formulated what the barriers are and how to eliminate it. This study aims to identify barriers GSCM in the palm oil industry in Indonesia, to model the relationship between GSCM barriers and to classify any of it to the palm oil industry in Indonesia using the MICMAC approach. The interpretive structural modeling method was used in this study, where the stages began with a literature study to obtain GSCM indicators of the palm oil industry in Indonesia, then breakdown to get the barriers. The structural self-interaction matrix (SSIM) is then structured based on contextual relationships between obstacles by experts who have worked in the palm oil industry. Furthermore, SSIM is converted into a binary matrix. To get the level of each barrier, the level partitions stage is used to developing a chart and a model between the GSCM barriers in the palm oil industry in Indonesia. This research resulted in 15 GSCM barriers in the palm oil industry, then arranged into a 6-level model of GSCM barriers and divided into four clusters. The implication of this research is the addition of knowledge about GSCM especially the palm oil industry. While managerially giving direction on the strategy to eliminate GSCM barriers in the palm oil industry.