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New Product Development Method Trends and Future Research : A Systematic Literature Review Khannan, Muhammad Shodiq Abdul; Tontowi, Alva Edi; Herliansyah, Muhammad Kusumawan; Sudiarso, Andi
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 23 No. 1 (2021): June 2021
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.23.1.11-24

Abstract

Research on new product development (NPD) has led to tools, methods, models, and frameworks that enable researchers to develop better products. However, a comprehensive review of the methods, models and frameworks related to NPD is lacking. This literature study aims to identify research trends, methods, and frameworks used in NPD between 2010 and 2019. A systematic literature review is conducted by developing a structured research protocol. An analysis of 50 selected papers shows that research on NPD can be categorized into 15 conceptual papers, six review papers, 28 case studies, and one survey paper. This paper provides an overview of each tool and presents future research opportunities. This paper concludes that future research can be directed toward combining several methods to design products that satisfy consumer desires with shorter design times, aspects of NPD collaboration, and aspects of changing consumer preferences.
Effectiveness and Efficiency Improvement of Local Content at the Upstream Oil and Gas Industry by Employing Live Verification Method Rama Atyasa Y; Supriyatno Supriyatno; Alva Edy Tontowi
International Conference on Economic Business and Social Science Vol. 3 No. 1 (2025): Proceeding International Conference on Economic Business and Social Science (IC
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/icebss.v3i1.33

Abstract

This study examines the impact of live verification as an innovative approach to local content verification at PT Pertamina Hulu Energi (PT PHE), by comparing its efficiency and effectiveness against conventional verification methods. By analyzing 207 contracts (verified in 2022-2024), this study documents the transition from conventional verification (50 contracts in 2022) to live verification (71 contracts in 2023, 77 contracts in 2024), with little retention of conventional methods (4 and 5 contracts respectively). By applying Business Process Re-engineering (BPR), this study aims to demonstrate significant process simplification, reducing verification steps from 9 steps to 6 steps and consolidating 4 steps into 1 step. Furthermore, statistical tests were conducted to validate the significant changes before and after the live verification method was implemented. Including homogeneity test and one-way ANOVA was chosen because it was considered suitable by involving three independent variables (2022, 2023, 2024) and the dependent variable which is verification time (SLA). Statistical validation through descriptive frequency analysis showed that the average verification processing time in 2023 (25,45 working days) and 2024 (14,55 working days) was getting closer to the ideal benchmark. Furthermore, homogeneity testing and one-way ANOVA confirmed a statistically significant improvement, with significance values of <0.001 (by mean) and 0.001 (<0.05 for ANOVA), indicating a substantial reduction in SLA post-implementation. Then the implementation of verification is measured by the effectiveness test and the results show that in 2023 & 2024 the live verification process is considered effective with a cumulative achievement rate of 32%, and in terms of efficiency it is considered efficient with a cumulative achievement rate of 87,18%. This live verification method can be an effective solution to speed up the local content verification process and help solve problems in the local content verification process. The findings underscore live verification as a transformative strategy, improving process agility, cost efficiency, and compliance performance. This research contributes to the production process literature by offering a data-driven framework for process optimization, as well as actionable insights for energy sector policymakers and potential scalability in the context of global supply chain compliance.
Analisa Akurasi Geometri Penggunaan Metode Injection Moulding Berbasis Printer 3D Untuk Produksi Implan Pada Bedah Cranioplasty Djoko Kuswanto; Alva Edy Tontowi; Taufik Hidayat; Agus Windharto; Arie Kurniawan
Jurnal Desain Idea: Jurnal Desain Produk Industri Institut Teknologi Sepuluh Nopember Surabaya Vol. 16 No. 1 (2017)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/iptek_desain.v16i1.2832

Abstract

Perkembangan teknologi printer 3D untuk medis, memungkinkan aplikasi produksi implan pra-operasi dengan keunggulan akurasi geometri yang baik, mengurangi waktu operasi dan resiko kehilangan banyak darah. Teknologi printer 3D paling populer dan potensial untuk dikembangkan masal di Indonenesia adalah fused deposition modeling/FDM. Akan tetapi memiliki kekurangan: single material, jenis material terbatas dan temperatur yang tinggi sehingga tidak bisa dicampur dengan material/senyawa bioaktif yang sensitif terhadap panas. Pengembangan metode injection moulding berbasis printer 3D telah dilakukan pada penelitian ini dengan melakukan modifikasi alat, material, tahapan dan sistim produksi implan pra-operasi yang mengacu pada teknologi printer 3D untuk cranioplasty yang sudah dilakukan di negara maju. Untuk memastikan modifikasi ini bisa menghasilkan implan pra-operasi dengan akurasi geometri yang diinginkan, dilakukan karakterisasi terhadap deviasi dimensi implan yang diproduksi yaitu deviasi volume, deviasi tebal, deviasi panjang linear dan deviasi sudut kelengkungan permukaan implan, pada dua metode berbeda yang diuji, yaitu metode cranial/intra operatif dan metode injection moulding dengan menggunakan material polymethylmethacrylate/ PMMA. Hasil yang didapatkan adalah deviasi volume implan yaitu sebesar 1.87 ± 1.27 % (injection moulding) dibandingkan 11.39 ± 3.71 % (metode cranial), deviasi tebal sebesar 2.54 ± 0.86 % (injection moulding) dibandingkan 7.35 ± 1.43 % (metode cranial), deviasi panjang linear sebesar 2.61 ± 0.47% (injection moulding) dibandingkan 5.76 ± 0.79 % (metode cranial) dan deviasi sudut kelengkungan permukaan sebesar 0.98 ± 0 % (injection moulding) dibandingkan 15.45 ± 3.94 % (metode cranial). Dapat diambil kesimpulan bahwa metode injection moulding lebih baik daripada metode cranial/intra operatif. Manufacture of pre-surgery implant may shorten the surgery duration and blood loss risk which provide medical benefit for patient. Additive manufacturing technology (AMT) have been applied in manufacture of pre-implant for cranioplasty surgery. Application of AMT allows production of pre-surgery implant with good geometrical accuracy. The most popular and potential printer 3D technology for mass developed in medical, is fused deposition modeling/FDM, because capable of producing its porosity high with a pattern laydown and the mechanical force good. However, FDM technology have some drawbacks i.e. the use of single type material, limited types of materials, and operation at high temperatures. This research was conducted to develop pre-surgery implants based on additive manufacturing technology to reconstruct and redesign cranial bone defects in Indonesia. This research produced 3D printer-based of injection moulding method by modifying tools, materials, steps, and pre-surgery implants production system based on the additive manufacturing for cranioplasty. Geomatrical accuracy of implant was measured in term of volume deviation, thickness deviation, linear length deviation and surface curve angle deviation of implants. The study comparing two different methods tested: cranial/intra-operative method and injection moulding method using PMMA material. The result showed that implant manufactured by 3D printer based mould have a higher geometrical accuracy as compared to cranial method. Volume deviation on the produced implants is 1.87 ± 1.27 % (injection moulding) compared to 11.39 ± 3.71 % (cranial method), thickness deviation of 2.54 ± 0.86 % (injection moulding) compared to 7.35 ± 1.43 % (cranial method), linear length deviation of 2.61 ± 0.47% (injection moulding) compared to 5.76 ± 0.79 % (cranial method), curve length deviation of 1.54 ± 0.77% (injection moulding) compared to 6.34 ± 0.99 % (cranial method) and surface curve angle deviation of 0.98 ± 0 % (injection moulding) compared to 15.45 ± 3.94 % (cranial method). From the data, it can be concluded that the injection moulding method is better suited than the cranial/intra-operative method.
Co-Authors Agus Windharto Almy, Raeshifa Diani Amanda Nur Cahyawati Ambar Pertiwiningrum Andi Sudiarso, Andi Andy Nurul Yunita Pettalolo Angger Bagus Prasetiyo Anggita Gigih Wahyu Iriawan, Anggita Gigih Wahyu Anna Maria Sri Asih Aoyama, Hideki Arie Kurniawan Arie Kurniawan Arif Kusumawanto Arif Kusumawanto Arman Hakim Nasution Avin Fadilla Helmi Banu Santoso Bhawika, Gita Widi Budhi Sholeh Wibowo Budi Hartono Budi Hartono Budi Rochardjo, Heru Santosa Catur Sugiyanto Dawal, Siti Zawiah Md Dawi Karomati Baroroh Deendarlianto Dhananjaya Yama Hudha Kumarajati Dian Pribadi Perkasa Djoko Kuswanto Djoko Kuswanto Erizal Erizal Erni Suparti, Erni Ghazali, Ihwan Handiwibowo, Gogor Arif Hari Agung Yuniarto Herianto Heru Santoso Budi Rochardjo, Heru Santoso Budi Hideki Aoyama Ibnu Abdul Rosid IDAA Warmadewanthi Ihwan Ghazali Indarto Indarto Indrajati, Heppy Riani Jamasri . Joko Sedyono, Joko Joni Setiawan Joni Setiawan Kusmono Lilik Soetiarso Lina Dianati Fathimahhayati, Lina Dianati Mahardhika, Syaqila Erie Margaretha Arnita Wuri Marlyana, Novi Marsetyawan Heparis Nur Ekanda Soesatyo Marsetyawan HNE Soesatyo Mochammad Andy Rizqy Mochammad Noer Ilman Mochammad Taha Ma’ruf Mohamad Khoiru Rusydi Muhammad Kusumawan Herliansyah Muhammad Ridlwan Muhammad Shodiq Abdul Khannan Musyarofah, Siti Afiani Novi Marlyana Nugraha Muharafandy Nur Aini Masruroh Perttalolo, Andy Nurul Yunita Prabowo, Teguh Ari Putra, Gaustama Putra, Ikbal Rizki Raeshifa Diani Almy Rahardyan Magetsari Rahmanto, Nurdin Rama Atyasa Y Rashid, Salwa Hanim Abdul Rudy Firman Prakosa Salwa Hanim Abdul Rashid Sella Antesty Siti Afiani Musyarofah Siti Sunarintyas Siti Zawiah Md Dawal Slamet Widyanto, Slamet Soedarmanto Indarjulianto Soedarmanto Indarjulianto Soetiarso, Lilik Supriyatno Supriyatno Susilo Adi Widyanto Syawaluddin Adha Pohan Taufik Hidayat Taufik Hidayat Teguh Ari Prabowo Titis Wijayanto Tri Purwanti Wangi Pandan Sari Widiastuti, Maria Goreti Widowati Siswomihardjo Widyanto, Slamet A. Widyastuti Widyastuti Windharto, Agus Wiratni Wiratni, Wiratni Yanti Pasmawati Yeni Yustisia