SPARC 2026 - ACTION, RESEARCH, AND COLLABORATION "Igniting Innovation, Connecting the World"

Executive Summary

SPARC 2026 was presented as a platform for moving university research toward practical use through industry partnerships, commercialization support, and public-facing demonstrations. Its main business themes were to build an innovation ecosystem around real-world problems, support researchers through testing, IP, manufacturing, and distribution, and judge innovation by its impact—not just by publications or prototypes.

Strategy, Operations, and Commercialization

• UNJ’s SPARC platform: The event was designed to connect researchers and innovators with industry, government, investors, and communities. The program included an innovation exhibition, business matching, awards, performances, and talks. The event report cited 9 faculty booths, 10 UNJ incubation-program booths, and 4 partner booths, as well as 11 resource persons.
• Commercialization support: UNJ described a playbook that includes:
  • An “innovation challenge” program to identify promising work.
  • Support to improve product or service readiness.
  • Assistance with branding and business legality, including collaboration with the IP office.
  • Funding support, including two grants in food and health themes.
  • SPARC as a showcase and meeting point for innovators and industry.
• Focus areas: UNJ said it was prioritizing health, education, energy, and food, drawing on its assessment of university rankings and impact measures.
• Leadership recommendation: BRIN Head Arif Satria urged UNJ to define a clear innovation niche, build an innovation blueprint, strengthen entrepreneurial culture, and create effective living laboratories and science parks. He emphasized that a science park should be an institution and operating system—not merely a new building.

Research-to-Market Examples and Metrics

Pathogenic-Bacteria Detection Kit

Professor Mukti Ningsih presented a food-safety detection kit developed through research that began in 2016, in collaboration with the Indonesian National Police Forensic Laboratory.

• Performance: The team said its real-time PCR test can produce results in about 2 hours, compared with roughly 4 hours for conventional PCR and 24 hours for culture-based methods. Faster results can help authorities and clinicians respond sooner to food-poisoning incidents.
• Product scope: The team reported kits covering 17 pathogenic bacteria, with more than one target gene per bacterium—described as 34 kits in total. It offers real-time and conventional PCR versions.
• Testing and validation: Work included lab validation, artificial contamination tests, real food samples, distribution and stability tests, and compatibility checks across different platforms. Examples included raw chicken from 30 DKI Jakarta markets and 50 grilled-chicken samples. The team reported finding contamination in chicken samples and said a UNJ canteen sample tested positive for Salmonella, without naming the canteen.
• Commercialization partners: PT Bestari Sukses Makmur was expected to produce the kits, PT Setara Bioscience supported raw materials, and PT Indolab was expected to distribute them. The project also had police-lab collaboration and had received a letter allowing distribution, according to the presentation.
• Next steps and constraints: The current product requires a PCR machine and laboratory access, limiting use by smaller businesses or schools. The team is exploring simpler strip-based tests and an aptamer approach that could eventually avoid PCR equipment. It targeted a launch in early January; the year was unclear in the subtitles.
• Research operations: The lab uses a weekly Friday evaluation meeting to review results, troubleshoot procedures, and decide whether experiments can advance. Mukti said she prioritizes students who are genuinely motivated to join, gives them trust and responsibility, and adapts her mentoring to individual needs.

The project was also reported to have produced more than 10 patents and to have placed fifth in an SDG-related award program. Its core lesson: a long research runway and external partners are needed to move from laboratory results to a usable, distributable product.

Other UNJ Innovations

The event report also highlighted three new products or developments:

• Mundu-fruit cosmetics: Reported to be registered with the Ministry of Health, with raw-material testing in process at BPOM.
• Electric-vehicle development: A student-and-faculty project involving energy-efficient electric vehicles.
• Natural dyes: The rector encouraged further development of patented natural-dye research into practical applications.

Small-Business Sales Example

Vendor Joni Suerman, who said he had partnered with ST Poci since July 2008, described operating one tea-cart outlet on the UNJ campus. He reported nearly Rp700,000 in sales during the first 3–4 hours on the first day, with sales doubling on the second day and continuing to rise. The example illustrates testing demand at a specific campus location, though the subtitles do not clarify the exact operating hours or whether the figure is revenue or profit.

Innovation and Talent Playbooks from the Keynotes

Build Around Problems, Value, and Scale

Keynote speaker Fauzan Aziman drew on his Oxford and company-building experience to recommend that research teams:

• Start product development with a clearly defined problem, not with a technology in search of a use.
• Establish the product’s value proposition—such as quality, price, or speed—and plan for scalability from the outset.
• Connect education and research to problem-solving and applied work.
• Treat talent development as a central capability, especially as AI changes the nature of technical work.

He described an Oxford seed-funding model in which promising projects could receive £5,000–£250,000, with a project manager helping researchers advance commercialization. He also cited Oxford’s 2025 research income of about £800 million and contrasted it with an Indonesian national research-budget estimate of roughly Rp10 trillion across government sources.

As a company-building example, he said a venture he helped establish received an initial campus investment of £80,000 in 2016–17. A materials technology was licensed to Hitachi Metals; he said it yielded royalties of about 1% of selling price, while the company produced around 1 million turbochargers a month. He also cited a later company valuation of approximately Rp2.5 trillion, compared with an initial investment of around Rp2 billion. These figures were presented as illustrations of how university technology transfer and high-volume manufacturing can create scale.

Skills, AI, and Workforce Strategy

Aziman cited a survey of 1,300 professionals across 10 countries indicating rising demand for problem-solving, creativity, and resilience, while demand for some technical specialties was declining in relative terms. His broader point was that organizations need adaptable people, not only narrow technical expertise.

He also described an episode in which AI-based deep learning produced predictions in one week that were close to results developed through several years of physics-based modeling. He cautioned that AI can produce useful results without making its reasoning easy to explain, reinforcing the need for human judgment and strong research capability.

A talent-retention example concerned an Indonesian engineer whose pay was initially around Rp12 million a month. After the company considered private medical coverage for the employee and family, compensation rose to about Rp25 million. Aziman used the story to argue that Indonesian talent can be undervalued and that compensation, benefits, and career opportunities matter for attracting and retaining skilled people.

From Research University to Innovation University

Arif Satria outlined a progression from:

1. Teaching university—preparing graduates for work.
2. Research university—creating knowledge.
3. Innovation university—translating knowledge into economic and social impact.

To bridge the “valley of death” between research and industry, he recommended that universities develop technology-transfer capacity covering technology scouting, IP valuation, licensing, spin-offs, startup incubation, industry matching, and investment readiness. He said impact should be assessed through outcomes such as productivity gains, lower costs, improved public services, and environmental benefits—not simply patents or prototypes.

His examples included low-cost waste-processing technology, durable low-priced shoes, and converting goat manure into compost for sale. The common principle was to start with a real user need; a technically advanced invention is not valuable if it has little practical benefit or no route to production and adoption.

AI and Education Discussion

The afternoon talk show, “Learning in the AI Era: From Class to Mobile Screen,” began with student comments that AI can help generate ideas or locate starting points, but that its answers and references need checking. The discussion opened with the question of how learning habits changed after COVID-19. The subtitles end before the panel’s substantive recommendations are fully presented.

Presenters and Sources

• Gelasia Andita — event host
• Murti Kusuma Wirasti — SPARC implementation report
• Fauzan Aziman — keynote on research commercialization, innovation, and talent
• Mukti Ningsih — presentation on the food-safety detection kit
• Arif Satria — presentation on research, innovation, and economic impact
• Prince Clinton Emmanuel Christian Damanik — moderator for the research session and AI-education talk show
• Galih Sulisti Ningta — CEO/co-founder of Smart Indonesia; AI-education panelist
• Anis Keruman — UNJ educational-technology expert; AI-education panelist
• Joni Suerman — ST Poci campus vendor and sales anecdote source

Other speakers announced in the program included Iwan Meliano, Sugang Suparwoto, Tigor Namora, Catur Sugiarto, Gia Pratama Putra, and Silvi Ambarwati.