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READINESS ASSESSMENT FOR IMPLEMENTATION OF INDUCTION STOVE’s INDONESIAN NATIONAL STANDARDIZATION (SNI) Assahda, Talitha Nabila; Damayanti, Retno Wulan; Fahma, Fakhrina; Laksono, Pringgo Widyo; Setiadi, Haryono
JURNAL STANDARDISASI Vol 26, No 2 (2024)
Publisher : Badan Standardisasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31153/js.v26i2.1040

Abstract

The Indonesian government has set a target to achieve net zero emissions (NZE) by 2060, part of which involves converting gas stoves to induction stoves for 8.2 million households by 2025. This initiative not only aims to reduce carbon emissions but also to decrease reliance on imported Liquefied Petroleum Gas (LPG), easing the strain on the state budget due to LPG subsidies. Standardizing induction stoves is crucial to ensure product quality and user safety. While Indonesia has existing standards for electric cooking equipment, specific standards for induction stoves are lacking, necessitating the development of Indonesian National Standards (SNI). To prepare for the implementation of these standards, a study focusing on the readiness of institutions involved in SNI implementation was conducted. Using the technoware, humanware, infoware, orgaware, cysnetware, manageware, and partnerware (THIOCMP) model, the study assessed the readiness of stakeholders. Thirty expert respondents participated in questionnaires and Focus Group Discussions (FGD). The findings indicate a high level of readiness among stakeholders, although improvements are needed in the orgaware component to ensure sustainable implementation of SNI for induction stoves. This research underscores the importance of thorough preparation for the successful adoption of new standards in Indonesia's transition to sustainable energy practices.
SWOT Analysis for Center of Technology Development and Industrial Collaboration in the Context of New Normal, Industry 4.0, and Society 5.0 Damayanti, Retno Wulan; Setiadi, Haryono; Laksono, Pringgo Widyo; Triyono, Joko
BRILIANT: Jurnal Riset dan Konseptual Vol 8 No 2 (2023): Volume 8 Nomor 2, Mei 2023
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v8i2.1168

Abstract

Post-pandemic recovery in the new normal era is one of the challenges industries in 2022. This is in addition to the use of industry 4.0 and society 5.0, labeled as “triple challenge” by industries to determine their direction and business strategies. These factors become an opportunity for the Center of Technology Development and Industrial Collaboration or Pusat Kajian dan Pengembangan Teknologi dan Kolaborasi Industri (PKPTKI) to improve its management to support industries. Three steps were conducted to tackle those challenges. The first is identifying and mapping the industry partner’s challenges. The second is solution mapping to support them while facing the triple challenges, and lastly is formulating the solutions using SWOT analysis and developing a new roadmap for PKPTKI. The outputs are the partner challenges and knowledge mapping, SWOT analysis, and solution strategies with a planned improvement program.
A Goal Programming Model for Joint Decision Making of Order Allocation, Supplier Selection, and Carrier Selection Considering Corporate Social Responsibility Rosyidi, Cucuk Nur; Khasanah, Alfia Makrifatul; Laksono, Pringgo Widyo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 1 (2022): June 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.1.45-52

Abstract

Every company aims to maximize its profit to survive and maintain business growth. However, it has to allocate some of the profit to the community development in the form of corporate social responsibility. Along with the importance of the development of Corporate Social Responsibility (CSR), many companies consider the social effects of their supply chain activities. In this paper, we address a problem determining the optimal order allocation, carrier selection, and the amount of CSR in a single product, multi-suppliers, and multiple periods environment. A goal programming model was developed to solve the problem by considering all-unit quantity discounts, the lateness of deliveries, and rejections. LINGO 18.0 was used to solve the model. The results of optimization show that all the goals are achieved. Based on the sensitivity analysis results, the proposed model is relatively insensitive to the goals of the profit and social value unless at the increases of 24% of both goals. For the goals of defect items and late delivery items, both goals affect the objective function when each goal is decreased. Hence, the decision-maker has to be careful in setting the goals.
A Multi-Objective Optimization Model for Home Health Care Routing and Scheduling with a Case Study Rosyidi, Cucuk Nur; Ramadandhyna, Annisa Puja; Laksono, Pringgo Widyo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 2 (2023): December 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.2.131-140

Abstract

Home health care (HHC) is a health service provided by a hospital so that patients can be taken care of at their homes. Assigning multiple caregivers to serve patients during working hours is one of the main issues in HHC planning. In this study, multi-objective mixed-integer nonlinear programming was formulated for HHC daily planning. The model aims to simultaneously minimize total service time, total traveled distance, total cost comprising the opportunity loss from unvisited patients and penalty cost due to the violation of gender preference, and total carbon emissions generated by the caregiver’s vehicle. Using real data from Dr. Moewardi Hospital, a case study was provided in order to show the applicability of the model. The model can be utilized to assist the HHC coordinator in determining the optimal schedule and routing of HHC visits.
Enhancing Tablet Product Experience on AliExpress: A Data-Driven Analysis of Online Customer Reviews Isak, Mukhtar Adan; Laksono, Pringgo Widyo; Pujiyanto, Eko
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 26 No. 2 (2024): December 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.26.2.171-180

Abstract

In the competitive e-commerce landscape, understanding customer experience is critical for businesses to enhance satisfaction and drive sales, particularly for tablet products. This study provides in-depth insights into customer experiences with tablet products on the AliExpress platform by analyzing 4,469 online reviews through sentiment analysis and topic modeling. The sentiment analysis reveals that while a significant portion of reviews are neutral to slightly negative, the overall sentiment is positive, indicating general satisfaction. Topic modeling uncovers key themes, with positive discussions centered around fast delivery, value for money, and children's enjoyment, while negative themes highlight issues with screen performance, customs processes, and unexpected taxes, particularly for Brazilian customers. Temporal analysis shows dynamic spikes in topics like fast delivery and cost-benefit during specific periods. These findings provide actionable guidance for businesses and manufacturers to optimize tablet quality, logistics, and marketing strategies to meet the needs and preferences of their target audience better.
Hazard Identification and Risk Assessment Using the HIRADC Framework in Travel and Tourist Activities at Mudal River Ecotourism, Kulon Progo, Yogyakarta Andri Daeng Masiki; Bambang Suhardi; Pringgo Widyo Laksono
Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 9 No. 5 (2026): May 2026
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/mppki.v9i5.9123

Abstract

Introduction: Safety?and security are important considerations for nature-based tourism, even more so if destinations are prone to disasters that reinforce the risk of transport, environmental and activity-related hazards. Kulon Progo, Yogyakarta’s Mudal River Ecotourism reflects these issues through the presence of steep and curving roads, unpredictable hydrometeorological conditions and insufficient safety facilities which together increase risk exposure during travel to?the destination as well as when executing activities at site. Methods: This research used a?qualitative case study approach that purposively juxtaposes the HIRADC framework with the DRR principles in a complex ecotourism context. Data were gathered through fieldwork, semi-structured interviews with managers, tourists and government organizations, document analyses; the risk assessment was based on the AS/NZS 4360:2004 standard considering probability (A–E) and?severity (1–5) scales. Results: The findings identified critical hazards along the travel route (landslides, slippery and narrow roads, brake failure on steep slopes, and interaction with village traffic) and within the tourism area (slipping on rocks, sinking in deep pools, being swept away by strong currents, falls from heights, structurally vulnerable bridges, and animal bites). Most hazards were classified as high risk, particularly those associated with aerial recreation and landslide-prone access, leading to the management of a layered control package that combines engineering measures, administrative procedures, tourist safety education, and community-based monitoring aligned with disaster risk reduction strategies. Conclusion: This study demonstrates how the application of the HIRADC framework and disaster risk reduction concepts can strengthen tourism safety governance in nature-based destinations exposed to geological and hydrometeorological hazards. The proposed safety management roadmap provides a practical reference for destination managers and policymakers and offers insights that can be applied to developing more resilient risk management models in similar ecotourism contexts.
Penerapan Sistem Kontrol Kualitas dengan Mengunakan Model CNN Transfer Learning VGG 19 pada Inspeksi Kain di Industri Tekstil Hernandoko, Nauval; Laksono, Pringgo Widyo; Rosyidi, Cucuk Nur
Performa: Media Ilmiah Teknik Industri Vol 23, No 2 (2024): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.23.2.86589

Abstract

Industri tekstil dan produk tekstil (TPT) merupakan salah satu industri tertua di Indonesia. Tujuan industri ini dibangun awalnya yaitu untuk memenuhi kebutuhan dalam negeri dan ekspor. Kualitas produk dan produktivitas merupakan menjadi kunci keberhasilan sistem produksi dalam dunia industri. Hasil produk atau jasa yang memiliki kualitas tinggi menjadi faktor utama agar industri tersebut dapat bersaing dalam bisnis serta prospek jangka panjang. Adanya kontrol kualitas secara otomatis akan membantu dalam pekerjaan bagian inspeksi karena dalam industri tekstil proses inspeksi dilakukan tanpa teknik sampling sehingga kualitas inspeksi yang dilakukan manusia akan menurun seiring waktu inspeksi yang semakin banyak. Hasil dari penelitian ini yaitu model CNN VGG19 dapat dijadikan sebagai model untuk otomatisasi proses inspeksi yang dilakukan di industri tekstil karena akurasi testing yang mencapai 88% serta tidak terjadinya overffiting dalam proses training validation.
Implementasi Deep Learning Menggunakan Metode Convolutional Neural Network untuk Mendeteksi Kehalaln pada Kosmetik Qonita, Hafsah; Laksono, Pringgo Widyo; Priyandari, Yusuf
Performa: Media Ilmiah Teknik Industri Vol 22, No 1 (2023): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.22.1.76650

Abstract

The growth rate of the cosmetics industry shows good development, reaching 9.39% in 2020. With so many cosmetic products in the market, consumers must be more careful in choosing the cosmetic products. In addition to the safety factor, the halalness of cosmetics also needs to be considered, especially for Muslim consumers. This research aims to create a halal detection model in cosmetics by implementing one of the deep learning methods, namely convolutional neural network (CNN). .Previous research has successfully created a halal detection model on Korean cosmetics using CNN with an accuracy rate of 95.56%. This research intends to develop previous research by adding classes and the number of datasets. CNN will be used to create a halal detection model in cosmetics by learning the input features in the form of the image of cosmetic ingredient to determine its halalness. Classification is done based on two classes, which are Halal and Shubhat. The results show that the CNN model gets an accuracy value of 98.66% with a loss of 0.0615 in classifying the halalness of cosmetics. Model testing using the testing dataset gets an accuracy value of 98.67%. The F1-score value in each class is 98.66% for the halal class and 98.67 for the shubhat class. The CNN model that has been created is appropriate because it shows high accuracy and low loss on training, validation, and testing data without experiencing overfitting or underfitting,
Pelatihan Pengenalan Dasar Produk Berbasis Kecerdasan Buatan untuk Membekali Siswa Sekolah Menegah Atas Solo Raya Menyosong Era Revolusi Industri 5.0 Laksono, Pringgo Widyo; Rosyidi, Cucuk Nur; Damayanti, Retno Wulan; Jauhari, Wakhid Ahmad; Pujiyanto, Eko; Hendix, Andreas Wegiq Adia; Aqidawati, Era Febriana
SEMAR (Jurnal Ilmu Pengetahuan, Teknologi, dan Seni bagi Masyarakat) Vol 14, No 2 (2025): November
Publisher : LPPM UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/semar.v14i2.94863

Abstract

Revolusi Industri 5.0 membawa dampak yang signifikan bagi masyarakat dalam berbagai aspek kehidupan, termasuk ekonomi, sosial, budaya, dan lingkungan. Meskipun demikian, pendidikan di Indonesia masih belum siap untuk beradaptasi dengan teknologi kunci dari revolusi ini, seperti kecerdasan buatan, energi terbarukan, dan keberlanjutan. Salah satu hambatannya adalah kurangnya fasilitas dan materi yang memadahi dalam pembelajaran. Oleh karena itu, sebuah pengabdian dilakukan untuk membantu sekolah- sekolah di sekitar UNS, khususnya SMA dan SMK di Solo Raya, dalam memulai pembelajaran berorientasi Revolusi Industri 5.0. Kegiatan pengabdian meliputi workshop, sosialisasi, pelatihan singkat, dan pemberian paket trainer. SMANRA dipilih sebagai sekolah pertama yang akan menerima pengabdian ini. Permasalahan yang dihadapi oleh SMANRA adalah kurangnya fasilitas yang memadahi dan sumber daya manusia yang belum menguasai dasar-dasar kecerdasan buatan dan internet of things. Solusi yang ditawarkan meliputi workshop dan sosialisasi tentang Revolusi Industri 5.0, serta pemberian paket trainer yang berisi perangkat keras, perangkat lunak, buku, dan materi pembelajaran terkait. Metode pelaksanaan kegiatan tersebut meliputi identifikasi kebutuhan, perencanaan kegiatan, pelaksanaan workshop dan sosialisasi, pemberian paket trainer, dan pendampingan teknis.Kata kunci : revolusi  industri 5.0, kecerdasan buatan, internet of things, inovasi, pembelajaran.