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All Journal Jurnal Teknik Industri USU Jurnal Sistem dan Manajemen Industri PRODUCTUM : Jurnal Desain Produk (Pengetahuan dan Perancangan Produk) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Ilmiah Teknik Industri Jurnal Sistem Teknik Industri JURNAL PENGABDIAN AGRO AND MARINE INDUSTRY Jurnal Pengabdian Masyarakat Ilmu Kesehatan
Aulia Ishak
Departemen Teknik Industri, Fakultas Teknik, Universitas Sumatera Utara
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation

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Analysis of Goods Delivery Routes Using Saving Matrix and Clarke & Wright Savings Methods Sari, Rahmi M; Christoffel P, junardi; Ishak, Aulia; Tambunan, Mangara M
Jurnal Sistem Teknik Industri Vol. 27 No. 1 (2025): JSTI Volume 27 Number 1 January 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i1.16017

Abstract

Distribution routes are distribution delivery routes that are created taking into account distance traveled, transport equipment capacity, and delivery capacity so that distribution costs are minimal. To date, there are 14 routes with 32 delivery points. Of the 14 existing routes, there are drop points through which several routes pass. So, companies need to evaluate the routes currently used. This problem arises as a result of the increase in shipping capacity over time. The general objective of this final research is to obtain alternative distribution routes in the process of distributing goods and analyze route improvements by comparing company routes and alternative routes obtained using the Saving Matrix and Clarke & Wright Savings methods. The research results showed that alternative distribution routes using the Saving Matrix method experienced an increase in costs of 5.4% from the original costs. Meanwhile, using the Clarke & Wright Savings method, distribution costs decreased by 3.6% per day. The improvement proposal given is an alternative distribution route using the Clarke & Wright Saving method, which has 11 routes and a savings of 3.6%.
Integration of Reverse Engineering and Additive Manufacturing Methods in the Design and Development of Prosthetic Products : A Literature Review Rumapea, Elsa S E; Ginting, Rosnani; Ishak, Aulia
Jurnal Sistem Teknik Industri Vol. 27 No. 1 (2025): JSTI Volume 27 Number 1 January 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i1.17188

Abstract

The integration of reverse engineering (RE) and additive manufacturing (AM) in the design and development of prosthetic devices has shown significant potential for improving the customization, efficiency, and overall quality of these essential medical aids. This paper reviews recent advancements in the use of RE and AM for prosthetics, highlighting key methodologies and findings from various studies. The results demonstrate that combining these technologies can enhance mechanical properties, dimensional accuracy, and user satisfaction while reducing production costs and time. However, challenges such as material biocompatibility and the need for standardized frameworks remain. Continued research and collaboration among researchers, clinicians, and industry stakeholders are essential to fully realize the potential of RE and AM in prosthetic development, ultimately improving the quality of life for individuals with limb loss.
The Design of a Demand Forecasting Model of Glass Bottled Tea Products With Machine Learning Approach Said Munal Akid; Ishak, Aulia; Sinulingga, Sukaria
Jurnal Sistem Teknik Industri Vol. 27 No. 2 (2025): JSTI Volume 27 Number 2 April 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i2.17069

Abstract

An accurate sales forecasting is crucial to the profits earned because it affects the company's stock management. With computational support, machine learning and artificial intelligence can continuously and automatically recognize patterns in data, thereby reducing the risk of demand unpredictability. PT XYZ is one of the companies in industrial sector that produces various beverage products. The factory in Medan. One of the products is the tea glass bottle. At PT XYZ, there are frequent differences between forecasting data and sales data, causing high error rates in production planning accuracy. This study aims to analyze the most effective model for forecasting future sales by comparing the accuracy of a Machine Learning-based forecasting model with the existing forecasting method currently employed at PT XYZ. This research was conducted using the Recurrent Neural network (RNN) method as part of the Machine Learning approach. The data that was inputted to the programme was weekly demand data, calendar day off data, temperature data, and population data. The forecasted data is weekly demand. Based on the company's historical data, a demand graph is obtained which has a cyclical pattern. From the results of forecasting using Machine Learning, an accuracy value of 99.47% is obtained with an error rate of 0.53%, which is still below the tolerance limit set by the company. The error rate shows a decrease of 14.72% compared to the error value in the previous company model. This decrease is expected to help control inventory more effectively.  
Integrasi Axiomatic Design, design for manufacture and assembly, dan rekayasa serempak dalam Desain Produk Chenio, Alkent; Ginting, Rosnani; Ishak, Aulia
PRODUCTUM Jurnal Desain Produk (Pengetahuan dan Perancangan Produk) Vol 8, No 1 (2025)
Publisher : Institut Seni Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24821/productum.v8i1.14648

Abstract

Product design faces challenges where designers need to know the parameters before the design process to minimize product development time, and products that are not suitable for manufacturing cause losses. This research is a narrative literature review of the integration of Axiomatic Design (AD), Design for Manufacture and Assembly (DFMA), and Concurrent Engineering (CE) to see the potential of integrating the three methods in product design. Eight journals from the last decade were analyzed to evaluate the impact of integration on product design. Results showed that the integration of the three methods was able to reduce the required design iterations along with a reduction in manufacturing costs and assembly time. The integration was able to identify and break down functional requirements with cross-functional collaboration from the early stages of design as well as streamlining the product and assembly process. In addition, the integration also provides manufacturing information for designers so that the product design is compliant from the manufacturing side. The combination of the three methods results in products that are easier to manufacture, reduce lead times and product costs. Therefore, this approach is highly recommended for the manufacturing industry to improve cost efficiency, time, and product quality.
PERBAIKAN PROSES PRODUKSI TIANG LAMPU MENGGUNAKAN METODE VALUE STREAM ANALYSIS TOOLS (VALSAT) Sari, Rahmi M.; Yuman, Syafiq Alhadi; Ishak, Aulia; Tarigan, Indah Rizkya
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4276

Abstract

Abstract:In the current modern era, the competitive situation of the manufacturing industry has increased and is very tight. The importance of production efficiency in a company is to increase revenue, which is the goal of every company by minimizing waste. One approach used to minimize waste is lean manufacturing. The study was conducted on a company that produces and markets products in the form of lamp posts on public roads and toll roads. The problem that often occurs in the manufacturing process of product items is that many production processes are not achieved according to the standard time set by the Company. In this study, a Lean Manufacturing analysis was carried out to improve the lamp post production process using the Value Stream Analysis Tools (Valsat) method. Based on this study, the type of waste waiting is the most dominant type of waste with a percentage of 19.55%. In second place is the type of waste overproduction with a cumulative percentage of 18.54% while waste motion is 17.32%. Based on the current state value stream mapping, the process cycle efficiency of the Hexagonal Lamp Post manufacturing process is 98%.  Keyword:Lean Manufacturing, Waste, Value Stream Analysis Tools, Process Cycle  Efficiency  Abstrak:Pada era modern saatinisituasipersainganindustri manufakturmengalamikenaikan dan sangat ketat.Pentingnyaefisiensiproduksidalamsebuahperusahaanadalahuntukmeningkatkanpendapatandimanahalinimerupakantujuansetiap perusahaandenganmemperkecilterjadinyawaste. Salah satupendekatan yang digunakanuntukmeminimalisirwasteadalahlean manufactring.Penilitiandilakukan pada perusahaan yang memproduksisertamemasarkanprodukberupatiang-tianglampu yang ada di jalanruasjalanumum dan jalantol. Permasalahan yang seringterjadi pada proses manufaktur item produkmasihbanyak proses produksi yang tidaktercapaidengansesuaiwaktustandar yang sudahditetapkan oleh Perusahaan. Dalam penelitianini, dilakukananalisisLeanManufacturinguntukperbaikan proses produksitianglampumenggunakanmetodeValueStreamAnalysisTools (Valsat). Berdasarkanpenelitiantersebutdiperolehjeniswaste waitingmerupakanjeniswaste yang paling mendominasidenganpersentasesebesar 19,55%. Pada urutankeduaterdapatjeniswaste overproductiondenganpersentasekumulatifsebesar 18,54% sedangkanwaste motionsebesar 17,32 %. Berdasarkancurrent state value stream mapping, process cycle eficiency proses pembuatanTiangLampu Hexagonal diperolehnilai 98 %.  Kata kunci:Lean Manufacturing, Waste, Value Stream Analysis Tools, Process Cycle  Efficiency 
The fuzzy goal programming approach to production planning of intermediate gear spare parts: a case study Ishak, Aulia; Nababan, Poltak
Jurnal Sistem dan Manajemen Industri Vol. 4 No. 2 (2020)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v4i2.2143

Abstract

Production planning has an important role in the company's business processes. A company engaged in the manufacture of intermediate gear parts has a problem in optimizing its production system. The production planning system that occurs is still based on predictions from decision-makers. This study aims to optimize the production planning system to maximize the 15T intermediate gear spare parts' production capacity and the 30T intermediate gear spare parts. Optimization of production planning uses the fuzzy goal programming method to optimize objectives based on existing constraints such as working hours, profit tolerance values, and demand tolerance values. The results showed that the use of fuzzy goal programming was able to increase the production level by 2.765, with an increase in profit of 2.57%. Fuzzy goal programming implementation provides an optimal solution in increasing profits in accordance with company goals based on the constraints that occur.
Peningkatan Kapasitas dan Pengemasan Produksi Bagi Usaha Makanan Rumahan padat Karya Ishak, Aulia; Napitupulu, Humala Lodewijk; Tarigan, Ukurta; Asfriyanti, Asfriyanti; M. Sari, Rahmi; Aguslina S, Fazidah
Jurnal Pengabdian Agro and Marine Industry Vol 4, No 2 (2024): JURNAL PENGABDIAN AGRO AND MARINE INDUSTRY (JPAMI)
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jpami.v4i2.9481

Abstract

The homemade snack food business is rapidly growing due to the high interest of the community in a variety of food options. Homemade food products are chosen because they are considered to have better quality and cleanliness. For example, sweet potatoes are processed into chips, and equipment such as sweet potato slicers and pots for frying sweet potatoes are crucial factors in determining the outcome of the chips. Initial observations with partners indicate difficulties in slicing and frying sweet potatoes due to limited equipment. Partners only have a double-edged knife for slicing sweet potatoes, resulting in unfulfilled customer orders. Emmi Snack Business faces challenges in meeting customer orders and requires innovation in attractive and secure packaging to ensure product quality.In this community service initiative, the main goal is to provide simple technological tools such as sweet potato slicers and fryers to increase production, as well as packaging equipment such as a vacuum sealer. This initiative also includes training on the use and maintenance of the equipment, as well as training on business management and simple bookkeeping. The results of this initiative will be published through scientific articles covering the service process and the achievements attained.
Pelatihan Pemeriksaan Payudara Sendiri (SADARI) pada Siswi SMP dan SMA Swasta IT Al Munadi Medan Fitria, Maya; Asfriyati, Asfriyati; Syahri, Isyatun Mardhiyah; Sanusi, Sri Rahayu; Lubis, Halinda Sari; Ishak, Aulia; Situmorang, Syafrizal Helmi
Jurnal Pengabdian Masyarakat Ilmu Kesehatan Vol 5, No 2 (2024): Edisi Juli
Publisher : LPPM Institut Kesehatan Helvetia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33085/jpmik.v5i2.6157

Abstract

Kanker merupakan penyebab kematian nomor dua di dunia dengan jumlah 9.6 juta kematian per-tahun. Kanker payudara merupakan salah satu penyebab utama kematian pada wanita. Kasusnya terdeteksi sekitar 2 juta kanker payudara baru, yang merupakan sekitar 23% dari seluruh jenis kanker. Perempuan adalah kelompok yang berisiko tinggi terkena kanker. Pengobatan kuratif untuk kanker belum tersedia, beberapa pendekatan telah dianjurkan untuk meningkatkan kesadaran melakukan deteksi dini kanker melalui pendidikan kesehatan. Pendidikan pencegahan kanker payudara harus mendapatkan perhatian khusus, terutama pada anak remaja terutama di sekolah. Siswi dianggap sebagai kader kesehatan di sekolah yang dapat memberikan dampak positif dan meningkatkan kesadaran tentang kanker payudara serta diharapkan dapat membantu menyebarkan pengetahuan dan kesadaran di antara keluarga, teman, dan komunitas mereka secara luas. Pelatihan pemeriksaaan payudara sendiri dilaksanakan pada 169 orang siswi. Tujuan kegiatan ini adalah untuk memberikan pendidikan kesehatan tentang pemeriksaan payudara sendiri (Sadari) serta prakteknya. Hasil kegiatan ini telah terbentuk kader kesehatan sekolah yang menjadi duta kesehatan sekolah yang berasal dari siswa-siswi sekolah yang berjumlah 16 orang yang berasal dari kelas VII sampai kelas X. Kesimpulan dari kegiatan ini yaitu terjadi peningkatan pengetahuan siswi tentang pencegahan kanker payudara serta mampu mempraktekkan pemeriksaan payudara sendiri (Sadari) dengan benar. Telah terbentuk kader kesehatan sekolah untuk meningkatkan komitmen dan kepatuhan siswi-siswi akan deteksi dini kanker payudara.
Additive Manufacturing in Prosthetics Field: A Literature Review Ginting, Rosnani; Ishak, Aulia; Nasution, Fadylla Ramadhani Putri; Malik, Alfin Fauzi; Bangun, Putri Syahmina Atirah
Jurnal Sistem Teknik Industri Vol. 27 No. 3 (2025): JSTI Volume 27 Number 3 July 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i3.20416

Abstract

Prosthetic devices play a critical role in restoring mobility and enhancing the quality of life for individuals who have experienced limb loss due to trauma, disease, or congenital conditions. However, the high cost, discomfort, and limited accessibility of conventional prosthetics present ongoing challenges. In response, Additive Manufacturing (AM), particularly 3D printing, has emerged as a transformative solution in the field of prosthetics. This technology enables the creation of patient-specific prosthetic components with complex geometries, improved fit, and reduced weight, all while lowering production costs and minimizing the need for post-processing. Through a comprehensive review of recent studies, this paper explores the advancements and applications of AM in prosthetics, including the integration of machine learning, finite element method (FEM) simulations, and new materials such as PLA, ABS, ASA, and carbon fiber-reinforced composites. Research findings indicate that AM facilitates the development of durable, lightweight, and anatomically accurate devices, such as transfemoral sockets and prosthetic thumbs, which pass international fatigue and safety standards. The studies also highlight the advantages of AM in pediatric prosthetic design, where rapid anatomical changes necessitate frequent adjustments. By streamlining the production process and enabling customization, AM significantly improves comfort, usability, and accessibility for users. This review concludes that additive manufacturing holds immense potential to revolutionize prosthetic development by offering cost-effective, sustainable, and user-centered solutions. The continued advancement and integration of digital manufacturing technologies are poised to address existing limitations in prosthetic care and support the growing global demand for innovative, inclusive, and high-quality assistive devices.
Combination of TRIZ and Additive Manufacturing Methods: A Literature Review Hubert, Van; Ginting, Rosnani; Ishak, Aulia
Jurnal Sistem Teknik Industri Vol. 27 No. 4 (2025): JSTI Volume 27 Number 4 September 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i4.20506

Abstract

Companies face pressure to enhance productivity and efficiency while meeting the demands of dynamic markets and global competition. Additive Manufacturing (AM) technology has emerged as an innovative solution with the capability to efficiently create complex geometries and enable design personalization, despite ongoing challenges related to quality, materials, and post-processing. The TRIZ method, as a systematic problem-solving approach, offers innovative solutions by analyzing contradictions in design, which can be applied to AM to optimize processes and products. The Design for Additive Manufacturing (DFAM) approaches leverages AM's layer-by-layer production process to create new, innovative designs. In the context of Concurrent Engineering (CE), the synergy between CE, AM, and TRIZ enables more efficient, innovative, and rapid product development, providing design flexibility, lower production costs, and shorter time-to-market. This combination of strategies offers a significant competitive advantage in the global market.
Co-Authors A. Rahim Matondang Adrian Hartanto, Adrian Aguslina S, Fazidah Alvin Setiawan Amelia, Tia Anizar Anizar Asfriyanti, Asfriyanti Asfriyati ,MKes Bangun, Putri Syahmina Atirah Chenio, Alkent Christoffel P, junardi Dewi Sari Kencana Dudin, Sa Febi Ardani Halinda Sari Lubis Harmein Nasution Heryanto Handoko Hubert, Van Humala L Napitupulu Hutagalung, Amelia Hafsah Khatami, Muhammad Khawarita Siregar M. Sari, Rahmi Malik, Alfin Fauzi Mangara M Mangara M Tambunan Manik, Donald Manurung, Martin Marta Elissa Sirait Matius J Situmorang Maya Fitria Mutia Hasanah Nababan, Poltak Nadia Kurnia Putri Napitupulu, Humala Lodewijk Nasution, Alfian Aziz Nasution, Fadylla Ramadhani Putri Nazaruddin M Nazaruddin Matondang Nova Tarihoran novalin, Susi Diriyanti Nursafwah Poltak Nababan Prawira, Yoga Putri Oktalisa Rahmi M Sari Rosnani Ginting Rumapea, Elsa S E Said Munal Akid Sarjana, SS SATRIA Situmorang, Syafrizal Helmi Sri Rahayu Sanusi Sugih Arto Pujangkoro Sukaria Sinulingga Sukaria Sinulingga Syah, Chairul Syahri, Isyatun Mardhiyah Tania Alda Tarigan, Indah Rizkya Ukurta Tarigan Wilianto Wilianto William Arfayo Yos Indra Mardatillah Yuman, Syafiq Alhadi