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All Journal Jurnal Teknologi Pertanian Community Empowerment International Journal of Artificial Intelligence and Robotics (IJAIR) Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Ilmiah Pengabdian dan Inovasi CEMARA: Jurnal Pengabdian Masyarakat Multidisiplin JURNAL REKAYASA DAN MANAJEMEN AGROINDUSTRI
Widyaningtyas, Shinta
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Public Health Social Sciences Other

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DETEKSI PEMALSUAN KOPI LUWAK MENGGUNAKAN SIFAT BIOLISTRIK DAN JARINGAN SARAF TIRUAN Widyaningtyas, Shinta; Sucipto, Sucipto; Hendrawan, Yusuf
Jurnal Teknologi Pertanian Vol 19, No 3 (2018)
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1091.06 KB) | DOI: 10.21776/ub.jtp.2018.019.03.3

Abstract

Metode konvensional deteksi pemalsuan kopi luwak menggunakan analisis kimia bersifat destruktif, mahal, membutuhkan preparasi sampel dan waktu lama. Perancangan alat sederhana, cepat, akurat, dan non destruktif berdasarkan sifat biolistrik berpeluang untuk mendeteksi pemalsuan kopi luwak. Penelitian ini bertujuan mendapat topologi Jaringan Saraf Tiruan (JST) terbaik untuk mendeteksi pemalsuan kopi luwak menggunakan input sifat biolistrik berdasarkan total fenol, pH, dan persentase pemalsuan kopi luwak. Hasil penelitian menunjukkan bahwa impedansi, resistansi seri, resistansi paralel berbanding terbalik dengan frekuensi, induktansi seri dan induktansi paralel berbanding lurus dengan frekuensi. Topologi JST terpilih yaitu (5-40-40-3) memiliki MSE pelatihan 0.0099 dan MSE validasi 0,0479. Hasil penelitian menunjukkan sifat biolistrik dan JST berpotensi sebagai sensor mendeteksi pemalsuan kopi luwak.
Filter Feature Selection for Detecting Mixture, Total Phenol, and pH of Civet Coffee Widyaningtyas, Shinta; Arwani, Muhammad; Sucipto, Sucipto; Hendrawan, Yusuf
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 6 No. 2 (2024): November 2024
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/ijair.v6i2.9010

Abstract

Civet coffee, a highly valued specialty coffee, is susceptible to adulteration with regular coffee, resulting in economic losses and consumer fraud. This study investigates the potential of electrical spectroscopy as a non-destructive technique for detecting civet coffee adulteration. We analyzed the bioelectrical properties of civet coffee beans and their mixtures with regular coffee, focusing on impedance parameters (Z, Lp, Ls, Rp, Rs) as potential indicators of adulteration. Two machine learning models, Artificial Neural Network (ANN) and Random Forest, were trained and evaluated using Mean Squared Error (MSE) validation to identify the most informative features for predicting mixture composition, total phenol content, and pH. The findings demonstrate that impedance parameters, particularly Z, consistently exhibited high feature importance scores across different attribute evaluators and search methods. The optimal model, an ANN with a correlation attribute evaluator and ranker search method, achieved an MSE validation of 0.0479, indicating strong predictive accuracy. These results suggest that electrical spectroscopy, coupled with machine learning, offers a promising approach for developing automated, non-invasive methods for detecting civet coffee adulteration, thereby protecting consumers and ensuring the integrity of the specialty coffee market.
Unlocking export market potential with optimized coffee capsule packaging Widyaningtyas, Shinta; Nanda, Ririn Fatma; Al Jabar, Andi; Pratama, Yogi; Febrianto, Dony; Hidayat, Muhammad Fajri
Community Empowerment Vol 10 No 4 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12419

Abstract

Coffee capsules, which are measured servings of premium, ready-to-brew ground coffee sealed to preserve flavor, possess significant development potential due to the limited number of competitors and promising export and domestic market opportunities. CV. Sundanika Indonesia is one such coffee capsule producer in Indonesia. In its export market initiation, CV. Sundanika Indonesia faced challenges in selecting the appropriate packaging material for its coffee capsules. This Community Service program aimed to facilitate the transition of coffee capsule packaging materials at CV. Sundanika Indonesia. The program commenced with discussions to comprehensively identify the partner's problems and provide recommended solutions. The methods employed included Focus Group Discussions, the provision of sample coffee capsule packaging, and program evaluation. The program results indicate that the partner gained an understanding of packaging functions in general and the significant differences between plastic and aluminum foil packaging for coffee capsules, which motivated them to switch to aluminum foil packaging. A 30% increase in the partner's understanding supports the success of this packaging transition.
Sosialisasi Penerapan Cara Produksi Pangan Olahan yang Baik (CPPOB) Pada Proses Produksi Kopi Kapsul Widyaningtyas, Shinta; Nanda, Ririn Fatma; Al Jabar, Andi; Pratama, Yogi; Febrianto, Dony; Hidayat, Muhammad Fajri
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 3 No. 2 (2024): Jurnal Ilmiah Pengabdian dan Inovasi (Desember)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v3i2.512

Abstract

Coffee is one of Indonesia's strategic commodities. There are various kinds of processed coffee, one of them is coffee pods. CV Sundanika Indonesia is one of the coffee pods producers in Indonesia. The lack of competitors makes CV Sundanika Indonesia's coffee pods become attractive to the export market. However, in the plan to export coffee pods products, CV Sundanika Indonesia is constrained by the distribution permit from BPOM. One of the requirements for obtaining a BPOM distribution permit is the standardization of the production process through CPPOB. The purpose of this Community Service Program is to introduce CPPOB to CV Sundanika Indonesia. Activities are divided into three stages, i.e. preparation, implementation, and evaluation to ensure the success of the community service program. The preparation stage includes content development, the implementation stage includes CPPOB socialization, and the evaluation stage is measured to determine the participants' understanding of CPPOB. The results of this program indicate an average increase in understanding of CPPOB at 30% as seen from the results of the pre-test and post-test. In addition, the result of this program is a recapitulation of the documents needed in the CPPOB submission.
Pengembangan Minat Studi Lanjut: Sosialisasi Strategi Masuk Sekolah Kedinasan dan Simulasi Try out Berbasis CAT (Computer Assisted Test) di MA Al Ishlah Jenggawah Jember Hermawan, Frengky; Prajna, Deyla; Prasetyo, Angga; Widyaningtyas, Shinta
CEMARA: Jurnal Pengabdian Masyarakat Multidisiplin Vol 2 No 2 (2024): CEMARA: Jurnal Pengabdian Masyarakat Multidisiplin
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Islam Indragiri (UNISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61672/cemara.v2i2.2878

Abstract

Kegiatan pengabdian ini bertujuan untuk meningkatkan pemahaman siswa MA Al Ishlah Jenggawah Jember mengenai strategi masuk sekolah kedinasan serta mempersiapkan mereka menghadapi seleksi berbasis Computer Assisted Test (CAT) melalui sosialisasi dan simulasi try out. Metode yang digunakan meliputi penyampaian informasi tentang tata cara pendaftaran, strategi belajar, dan pelaksanaan simulasi ujian berbasis CAT. Hasil evaluasi menunjukkan peningkatan pemahaman siswa sebesar 85% serta peningkatan kepercayaan diri dalam menghadapi seleksi. Program ini diharapkan menjadi model berkelanjutan untuk membantu siswa lebih siap bersaing masuk sekolah kedinasan.
Analisis Pengendalian Persediaan Bahan Baku Pada Usaha Makanan Beku Dengan Menggunakan Metode EOQ (Economic Order Quantity) Studi Kasus Di Pt. Tanabe Food Robbani, Syifa; Suparman, Suparman; Widyaningtyas, Shinta; Sam, Roisatun Nisa Firdausiyah Abdur Rouf; Ramadhani, Griselda Happy
JURNAL REKAYASA DAN MANAJEMEN AGROINDUSTRI Vol 13 No 4 (2025): Desember
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JRMA.2025.v13.i04.p08

Abstract

One of the problems faced by business actors of PT Tanabe Food (Frozen Food) is the imbalance of good and proper raw material inventory. This study aims to analysis the raw material inventory process be adapted to the market's needs to minimize production costs and raw material inventory. This research uses the Economic Order Quantity (EOQ) method. Techniques in collecting data during this research are interviews, observation, and documentation. The results obtained in the research at PT Tanabe Food in using the EOQ method are the use of raw materials per period of 56,952.5 kg, the frequency of purchases is 12-13 times, the safety stock is 430.3 kg, the reorder point is 860.6 kg, and the total cost of raw material inventory is Rp. 5,356,168, while in the calculation, according to company policy is the use of raw materials per period of 61,964 kg, the frequency of purchases is 96 times, there is no safety stock, there are uncertain goods at the reorder point, and the total cost of raw material inventory is Rp. 87,281,408. The results show that the calculation of the EOQ method is more profitable than the company's existing calculations.
Performance of K-Nearest Neighbors and Advanced Metaheuristic Algorithms for Feature Selection in Classifying the Purity of Civet Coffee Widyaningtyas, Shinta; Arwani, Muhammad; Nanda, Ririn Fatma
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 1 (2026): MALCOM January 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i1.2345

Abstract

Various studies have shown that feature selection can improve classification accuracy, particularly in agriculture. However, most of these studies still use conventional metaheuristic algorithms, which have certain limitations, including a tendency to get stuck in local optima. Therefore, this study explores the potential of advanced metaheuristic algorithms for selecting colour and texture features to classify the purity of civet coffee. This study used k-Nearest Neighbour (K-NN) model optimized with several advanced metaheuristic algorithms, i.e. Bare Bones Particle Swarm Optimisation (BBPSO), Modified Generalised Flower Pollination Algorithm (MGFPA), Enhanced Salp Swarm Algorithm (ESSA), Improved Salp Swarm Algorithm (ISSA), and Two-Stage Modified Grey Wolf Optimizer (TMGWO). The results show that feature selection can improve model accuracy. The best model was obtained from a combination of K-NN and TMGWO with an accuracy of 0.981, precision of 0.982, recall of 0.981, F1-Score of 0.981, and Area Under Curve (AUC) close to 1 with three selected features, i.e. blue correlation, s_hsl_correlation, and s_hsv_correlation. Furthermore, the results of this study indicate that the development of advanced metaheuristic algorithms can overcome the weaknesses of conventional algorithms, as demonstrated by improvements in classification model accuracy and the number of selected features.
Co-Authors Al Jabar, Andi Ali Djamhuri Angga Prasetyo Chatarina Umbul Wahyuni Febrianto, Dony Griselda Happy Ramadhani Hermawan, Frengky Hidayat, Muhammad Fajri Muhammad Arwani Prajna, Deyla Pratama, Yogi Ririn Fatma Nanda Robbani, Syifa Sam, Roisatun Nisa Firdausiyah Abdur Rouf Suparman Suparman Yusuf Hendrawan