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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) J@TI (TEKNIK INDUSTRI) Journal of Educational Science and Technology Syntax Literate: Jurnal Ilmiah Indonesia Angkasa: Jurnal Ilmiah Bidang Teknologi
Wangi Pandan Sari
Universitas Gadjah Mada
Humanities Computer Science & IT Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Desain sensor massa resonator MEMS menggunakan struktur free-free beam Wangi Pandan Sari
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 13, No 2 (2021): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (419.758 KB) | DOI: 10.28989/angkasa.v13i2.1083

Abstract

MEMS is an integrated electro-mechanical device which the technology has been applied to various applications, one of which is for the fabrication of microsensors, such accelerometers, microsensors for flow sensing, pressure sensing and mass sensing. In the MEMS implementation, there are several approaches and structures that can be used. This study designed a MEMS resonator mass sensor by the means of a mechanical resonator approach with free-free beam structure and actuated electrostatically. The design is expected to produce a MEMS based mass sensor with a high performance.
Healthcare warehouse: Integrated literature review Nur Mayke Eka Normasari; Wangi Pandan Sari; Laela Widiyaningsih; Azza Luthfia
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 15, No 1 (2023): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v15i1.1545

Abstract

Gudang atau warehouse berperan penting dalam sistem logistik suatu industri atau perusahaan. Namun demikian, pengetahuan tentang healthcare warehouse yang telah dikembangkan dalam beberapa tahun terakhir masih kurang. Untuk itu, maka artikel ini menyajikan integrated literature review pertama tentang healthcare warehouse melalui pencarian di penyimpanan dari basis data Scopus. Dengan menelusuri setiap artikel terkait dengan topik tersebut, didapatkan 24 artikel yang diterbitkan dari tahun 2013-2022 dan diklasifikasikan menjadi dua topik utama: goods warehouse sebanyak 4 artikel, dengan fokus healthcare yang terdapat pada fasilitas kesehatan, dan data warehouse sebanyak 20 artikel, yang memiliki fokus pada healthcare berisi berbagai jenis data, contohnya rekam medis, barang, dan data penyakit tertentu. Semua pengetahuan yang ada dalam studi ini dirangkum sehingga pembaca (baik akademisi maupun praktisi) dapat dengan mudah mengakses kontribusi utama dan informasi yang ada dalam setiap studi.
Flipped Classroom and Reflective Practice for Active Learning during Online Class: An Experience in Engineering Drawing Module Wangi Pandan Sari; Angelica Helen Saputro; Tari Hardiani Safitri
Journal of Educational Science and Technology (EST) Volume 9 Number 2 August 2023
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/est.v9i2.45428

Abstract

A flipped classroom is a pedagogical approach that reverses the traditional model of learning where students are provided with materials prior to class. Whereas reflective practice is an approach that encourages students to analyze their learning experiences and evaluate their progress in understanding course materials. The COVID-19 pandemic has challenged the traditional model of classroom instruction, leading to a shift in teaching and learning activities toward virtual/remote delivery methods. This study evaluates the flipped classroom approach and reflective practices in Engineering Drawing module. The participants consisted of first year engineering students (n=76). The result fo the study shows positive outcomes from using flipped learning and reflective practice. Students felt that the module provided them with an engaging and challenging learning experience, enhancing not only their technical skills but also their overall learning capabilities
PYROLYZER PRODUCTION SYSTEM FOR WASTE MANAGEMENT USING GROUP TECHNOLOGY APPROACH Rifai, Achmad Pratama; Wibisono, Ragil Aditya; Sari, Dwi Kumala; Sari, Wangi Pandan
J@ti Undip: Jurnal Teknik Industri Vol 18, No 3 (2023): September 2023
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.18.3.152-159

Abstract

Waste management methods in Indonesia largely rely on unsustainable practices such as open dumping and landfills which urgently need transformation. Pyrolysis is one alternative solution for waste problems as it can process waste into other products. As the existing production system was not set up to manufacture this machine, we proposed a production system to produce a pyrolizer so that a more effective and efficient production process can be achieved. In this study, we employed Group Technology approach using Rank Order Clustering (ROC) method to create cell manufacturing groups. Based on our evaluation on the shortest material movement, we produced 2 different cells to manufacture the pyrolyzer. Cell, I contained plate cutting, drilling, pipe cutting, and bending machines (M2, M5, M3, M4), whilst Cell 2 contained rolling and lathe machines (M1, M6).  It also contained main reactor, pyrolyzer reactor burner, middle condenser, upper access door, bottom access door, upper condenser, bottom condenser components (A, F, H, B, C, G, I). Out of the sixteen components to be made, seven components were in Cell I whereas the other nine were in Cell II (N, P, J, E, D, K , L, M, O) comprising burner case, access ladders, separators, firewalls, reactor base frames, condenser frames, gas piping, water piping, and sprinklers components. By applying this group technology method to the pyrolyzer production system, the production process could be carried out in a more efficient and organized manner.
ANALYSING GENERATION Z'S INTENTION TOWARDS USING ENVIRONMENT FRIENDLY DRINKING STRAWS: APPLYING AN EXTENDED THEORY OF PLANNED BEHAVIOUR Manalu, Juan D. A; Rifai, Achmad P.; Abidin, Nur Balqishanis Zainal; Sari, Wangi Pandan
J@ti Undip: Jurnal Teknik Industri Vol 20, No 2 (2025): Mei 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.2.138-146

Abstract

The overuse of plastic straws has led to a considerable volume of plastic waste, posing a serious threat to the environment. This accumulation of plastic waste not only causes significant environmental pollution but also raises health concerns for both humans and animals. As an eco-friendly alternative to plastic straws, researchers have turned to environmentally friendly straws. To explore the factors influencing Generation Z's (Gen Z) adoption of these eco-friendly straws, this study utilizes the Theory of Planned Behaviour (TPB) while also incorporating environmental awareness and knowledge as additional determinants. Both quantitative using Partial Least Square – Structural Equation Model (PLS-SEM) and qualitative using thematic analysis methods are employed for comprehensive analysis. The results indicate that attitudes towards behaviour, perceived behavioural control, environmental awareness, and environmental knowledge all play pivotal roles in influencing the intensity of Gen Z's usage of environmentally friendly straws.
Perancangan Model Otomasi pada Industri Furnitur di Jepara Studi Kasus Produk Wood Cap Husain, Fakhril; Djorgie, Thomas; Herliansyah, Muhammad Kusumawan; Sari, Wangi Pandan
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 16, No 2 (2024): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v16i2.2379

Abstract

The furniture industry in Jepara Regency, Central Java, is renowned for exporting high-quality products. One such product is the wood cap, which is used to cover the top of fences. The current manual production of wood caps results in a slow process. This research proposes an automation system to enhance efficiency, transforming the production process into two stages using an inclined plane, pushers, and a conveyor. This system integrates a block diagram, logic gates, a ladder diagram, and control devices, including limit switches, pressure switches, and an emergency button. The implementation of this automation allows orders to be completed in 50 days, significantly faster than the 150 days required by the manual system.
Evaluasi Peramalan Permintaan Pupuk NPK Phonska di Jawa Tengah Menggunakan Metode Mean Absolute Scaled Error (MASE) Amdarso, Fajar Primazona; Sari, Wangi Pandan; Dewayanto, Nugroho
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i6.60374

Abstract

Penyediaan pupuk subsidi sangat penting bagi produktivitas pertanian di Indonesia. Namun dalam penyediaanya terdapat risiko ketidaksesuaian antara suplai dan kebutuhan karena kebutuhan pupuk yang bersifat musiman. Studi ini membahas peramalan kebutuhan pupuk bersubsidi, khususnya pupuk NPK Phonska di Jawa Tengah melalui metode SARIMA. Peramalan kebutuhan ini dapat digunakan untuk mendukung perencanaan suplai. Sebanyak 29 area penjualan dimodelkan secara independen memakai data penjualan periode 2016–2023 dan menggunakan KNIME, sebuah platform analitik open-source yang dapat menyederhanakan proses pemodelan yang kompleks. Kinerja model dievaluasi menggunakan Mean Absolute Percentage Error (MAPE) dan Mean Absolute Scaled Error (MASE), dengan rata-rata MAPE sebesar 46,75%, yang menunjukkan akurasi yang cukup baik. SARIMA namun hanya berhasil di 13,8% area penjualan saat ditinjau dengan MASE. Hal ini mungkin terjadi karena faktor eksternal seperti variabilitas iklim dan perubahan kebijakan. Penelitian ini menyoroti keunggulan pragmatis penggunaan MASE dalam mengevaluasi peramalan kebutuhan musiman dan menunjukkan bahwa SARIMA yang dijalankan pada KNIME dapat memodelkan banyak deret waktu secara simultan dan terukur. Penelitian mendatang dapat mengeksplorasi penyertaan variabel eksogen atau model machine learning untuk meningkatkan akurasi.
Classification of single origin Indonesian coffee beans using convolutional neural network Rifai, Achmad Pratama; Sari, Wangi Pandan; Rabbani, Haidar; Safitri, Tari Hardiani; Hajad, Makbul; Sutoyo, Edi; Nguyen, Huu-Tho
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp5140-5156

Abstract

This research aims to develop a coffee bean type detection model using convolutional neural networks (CNN), leveraging a dataset of 14,525 images from 116 types of Indonesian coffee beans. Pre-processing steps including resizing, rescaling, and augmentation were applied to improve the dataset quality. The dataset was split into training, validation, and testing sets with proportions of 80%, 10%, and 10%, respectively. Two model development approaches were used: transfer learning with Inception V3 in two scenarios and a model built from scratch. The transfer learning Inception V3 model in scenario 1 achieved the best performance, with a test accuracy of 0.87 and optimal evaluation metrics across precision, recall, and F1-score. This model was fine-tuned using pretrained weights, allowing it to adapt effectively to the coffee bean dataset. The results highlight that transfer learning, especially with Inception V3, provides a robust method for classifying coffee beans, offering potential applications in the coffee industry for improving classification efficiency and accuracy. The study demonstrates how deep learning can enhance the objectivity and precision of coffee bean classification, contributing to greater consistency in product sorting and quality assessment.
Co-Authors Abidin, Nur Balqishanis Zainal Achmad Pratama Rifai Amdarso, Fajar Primazona Angelica Helen Saputro Azza Luthfia Djorgie, Thomas Hajad, Makbul Husain, Fakhril Laela Widiyaningsih Manalu, Juan D. A Muhammad Kusumawan Herliansyah Nguyen, Huu-Tho Nugroho Dewayanto, Nugroho Nur Mayke Eka Normasari Rabbani, Haidar Rifai, Achmad P. Safitri, Tari Hardiani Sari, Dwi Kumala Sutoyo, Edi Tari Hardiani Safitri Wibisono, Ragil Aditya