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Detik.com and Kompas.Com Media Framing Regarding Reporting the Alleged Assault of a Former Indonesian Oriental Circus Performer Ulfah, Nurul; Rosadi, Ariani; Usman, Ahmad
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 9, No 4 (2025): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (November)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v9i4.9375

Abstract

This study aims to analyze two mainstream media outlets, detik.com and kompas.com, in framing the alleged exploitation and violence against former Oriental Circus Indonesia (OCI) performers. The analysis was conducted using the Pan and Kosicki framing method, which encompasses four structures: syntactic, rhetorical, thematic, and narrative. Furthermore, the 5W+1H approach was used to explore the basic elements of the reporting. The results show that the two media outlets present very different narrative constructions. Detik.com emphasizes the voices of victims with a human interest approach, framing the issue in the context of conflict between institutions and individuals, and calling for state intervention through human rights institutions. In contrast, kompas.com constructs a narrative of self-defense from the institutional perspective by emphasizing historical legitimacy, visual evidence, and a rhetorical approach focused on clarifying and restoring the reputation of OCI management. These differences in framing demonstrate how the media not only convey facts but also pay attention to public perception through the choice of language structure, narrative perspective, and specific communicative objectives. This research underscores the importance of critical awareness of media framing in issues involving moral conflicts, human rights and institutional interests.
Macro-Nutrient Prediction of Paddy Field Soil Using Artificial Neural Network and NIR Spectroscopy Ahmad, Usman; Budiastra, I Wayan; Subrata, I Dewa Made; Firdaus, Jonni
Jurnal Keteknikan Pertanian Vol. 12 No. 2 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.2.242-258

Abstract

Understanding soil fertility, influenced by macronutrients like nitrogen, phosphorus, and potassium, is essential for adaptive agriculture implementation based on various soil conditions. Near-infrared spectroscopy technology provides non-destructive, rapid soil property measurements without chemicals, applicable both in-field and in-laboratory. However, the wide NIR spectrum range and neural network complexities can hinder Artificial Neural Network (ANN) training and inference, leading to time and resource inefficiency, especially without sophisticated computing devices. This study examines data reduction methods to enhance ANN performance in predicting soil macronutrients using NIR spectra. Multiple Linear Regression (MLR) and Principal Component Analysis (PCA) were applied to select wavelengths from the 1000–2500 nm for ANN input, comparing their performance. About 237 NIR reflectance data from paddy soil were transformed into absorbance data. MLR used forward selection to identify wavelengths with correlations higher than 0.9, while PCA selected wavelengths corresponding to the loading factor peaks for each principal component. These selected wavelengths served as inputs for the ANN model. The ANN’s performance was assessed using correlation and determination coefficients, RMSE, RPD, and model consistency. For nitrogen, the PCA+ANN model with reflectance spectra performed better (RPD 2.4-4.8) than the MLR+ANN model (RPD 2.2-2.6) using fewer wavelengths (5-9 for PCA+ANN vs. 9-12 for MLR+ANN). For phosphorus estimation, the PCA+ANN model also excelled (RPD 2.3-7.0 vs. 2.3-2.4) with fewer wavelengths (4-7 vs. 7). For potassium estimation, the PCA+ANN model showed superior performance (RPD 4.3-9.5 vs. 4.2-4.4), using the same number of wavelengths (4-8 vs. 4-6).
Improving the Taste of Robusta Coffee by Fermentation with Yeast Inoculum and Its Effect on Caffeine Content Nadya, Hani Fildzah; Ahmad, Usman; Samsudin, Samsudin
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 2 (2024): June 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i2.298-308

Abstract

Harvesting coffee process by farmers generally executed entirety, resulting rainbow harvest. Coffee fermentation with yeast starter cultures Saccharomyces cerevisiae Y612, Candida parapsilosis Y207 and Torulospora delbrueckii Y594 was executed separately to determine the role of starter cultures on caffeine and robusta coffee taste at different maturity levels. The study was conducted at the Indonesian Industrial and Beverage Crops Research Institute in Sukabumi,, from June to November 2022. The experiment used a factorial complete randomized design. The first factor was the maturity level of the coffee and starter culture as the second factor. Fermentation was implemented for 48 hours inoculated with 108 cells/mL starter culture. The results showed that the temperature fluctuated, the pH value always decreased to 4.50 and T. delbrueckii was the starter culture with the highest activity during fermentation. Inoculum-fermented robusta coffee caffeine content was higher than non-inoculum. The lowest caffeine content was found in spontaneously fermented red fruit of 1.39%, while the highest caffeine content was produced by red fruit samples inoculated with C. parapsilosis of 2.7%. Robusta coffee with S. cerevisiae inoculation brought the best taste of robusta coffee with 82.10%, there was no significant difference between the red harvest coffee fruit and the fermented rainbow color with a starter culture. Keywords: Caffeine, Harvest, Inoculation, Maturity level, Starter cultures
Shelf-life Estimation of Dried Chili in Vacuum Packaging Ranawati, Nanda Wisha; Ahmad, Usman; Wulandani, Dyah
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 1 (2024): March 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i1.60-70

Abstract

This research aimed to build a model for estimating the shelf life of dried chilies in vacuum packaging stored at any storage temperature. The shelf-life estimation of dried red chilies was carried out based on the change rate of dried chilies quality parameters using the ASLT (Accelerated Shelf-Life Testing) method with the Arrhenius approach. The shelf-life estimation using the ASLT method was carried out by conditioning the storage room, which could accelerate the degradation reaction, stored at temperatures above room temperature. Prior to storage, red chilies were dried until their moisture content reaches 10%. Then it was packaged in vacuum packaging made of PE (polyethylene) plastic and stored at 35°C. During the storage period, the observation was conducted on some quality parameters, namely moisture content, color, and vitamin C content. The same experiments were also carried out at 40°C, 45°C, and 50°C to obtain different rate constant values. The shelf-life estimation results from the Arrhenius equation model were selected based on the critical parameter, in this study the critical parameter was the decrease of vitamin C content. The shelf life of dried red chilies that were packed in vacuum stored at room temperature (25°C) could maintain its quality up to 365 days. Keywords:  Arrhenius,  ASLT,  Red chili,  Vacuum packaging,  Shelf life, 
How Can We Get the Healthy Chocolate Products? Nurfadila, Nijma; Sutrisno; Ahmad, Usman; Samsudin
BIODIVERS - BIOTROP Science Magazine Vol. 1 No. 2 (2022): BIODIVERS (BIOTROP Science Magazine) - Save Biodiversity for Sustainable Well-b
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56060/bdv.2022.1.2.1982

Abstract

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ANTAGONISTIC EFFECT OF YEAST, ACETIC ACID BACTERIA AND MANGOSTEEN RIND EXTRACT ON AFLATOXIGENIC Aspergillus flavus IN UNFERMENTED COCOA BEANS Nurfadila, Nijma; Sutrisno, Sutrisno; Ahmad, Usman; Samsudin, Samsudin
BIOTROPIA Vol. 28 No. 3 (2021): BIOTROPIA Vol. 28 No. 3 December 2021
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.2021.28.3.1362

Abstract

Yeasts and bacteria are two of common biocontrol agents to control mycotoxigenic fungi, meanwhile the mangosteen rind exract has xanthone and gartanin compounds for antioxidant, antiproliferation, antiinflammation, antimicrobial, and anticancer. The objectives of this research are to test the effects of yeasts, acetic acid bacteria (AAB), and mangosteen rind extract on the aflatoxigenic Aspergillus flavus growth and aflatoxin production in unfermented cocoa beans. Four yeast isolates, i.e. Issatchenkia orientalis (Io) BIO 211291, 286 and 288, and Endomyces fibuliger (Ef) BIO 132219; one bacteria isolate of Acetobacter aceti (Aa) FNCC0016; and mangosteen rind extract (MRE) were tested for their capabilities in inhibiting an aflatoxigenic A. flavus (Af) BIO 3361/747 growth using the well method (in vitro). Two yeast (Io BIO 211291 and 288) were combined with Aa and MRE in cocoa beans (in vivo). Aflatoxin production was analyzed using Thin Layer Chromathography (TLC). The result showed that interaction of Io BIO 211291 and 288, and Ef BIO 132219 on aflatoxigenic Af were interaction with inhibition zone ≥ 2 mm (type D), while the interaction type of Io BIO 211286 on Af were mutual intermingling growth, where both fungi grew into each other without any macroscopic sign of interaction (type A). The best treatment in agar media (in vitro) was Io BIO 211288 + Aa on Potato Dextrose Agar + 12 g/l MRE. The highest Io population was 5.88 log cfu/g on cocoa beans inoculated by Io BIO 211291 + MRE in 1 day after inoculation, while the highest A. aceti population was 4.74 log cfu/g on cocoa beans with Io BIO 211291 + BIO 211288 + Aa  in 3 days after inoculation. Two best treatments were Io BIO 211288 + Aa + MRE and Io BIO 211291 + BIO 211288 + Aa + MRE, because there were no A. flavus population since 3 until 11 days after inoculation. Aflatoxin in all samples treatment was lower than limit detection B1 (< 2.20 ppb),  B2 (< 3.50 ppb), (G1 < 0.54 ppb), dan (G2 < 1.00 ppb).  
Fluorescence Imaging as a Non-Destructive Method for Aflatoxin Detection in Corn Kernels: Recent Advances and Challenges Sri Handayani Nofiyanti; Usman Ahmad; Efi Toding Tondok; Slamet Widodo
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.714-731

Abstract

Fluorescence imaging has developed as a promising non-invasive method for identifying aflatoxin contamination in agricultural commodities, especially corn kernels. This paper examines current improvements in fluorescence imaging technologies, highlighting its potential to improve food safety through swift and precise detection of mycotoxins. The paper examines the basics of fluorescence, the necessary setup for optimal imaging, and the issues related to background fluorescence interference, sensitivity, and the construction of calibration models. Although there are some limitations, fluorescence imaging presents considerable advantages, such as cost-efficiency and the capacity to obtain concurrent spectral and spatial data. Proposed future research objectives include the validation of imaging systems using naturally contaminated samples, the optimization of imaging parameters, and the integration of machine learning techniques to enhance data processing. By overcoming existing constraints and utilizing technical progress, fluorescence imaging can serve as an essential instrument in the detection of aflatoxin contamination, hence enhancing food safety. Keywords: Aflatoxin, Detection, Fluorescence imaging, Food safety, Machine learning.
The Effectiveness of Hydrocooling in Maintaining Broccoli Quality During Storage Rizky Wulansetiasari; Usman Ahmad; Emmy Darmawati
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 5 (2025): October 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i5.1843-1856

Abstract

Broccoli is a vegetable with high economic value, but it is also a highly perishable agricultural product after harvest. One method to extend its shelf life is hydrocooling, which involves cooling the product immediately after harvest to reduce the respiration rate, a key factor in quality degradation during storage. This study aimed to determine the optimal temperature and duration of hydrocooling to maintain the quality of fresh broccoli and to observe quality changes during storage. Hydrocooling was applied by immersing broccoli in cold water for 10 and 20 minutes, followed by storage at room temperature and low temperature. Quality observations were conducted for 7 days at room temperature and 16 days under chilled storage (5°C). The quality parameters observed included respiration rate, moisture content, weight loss, microbial contamination, color, and vitamin C content. Results showed that under room temperature storage, there was no significant difference between broccoli with and without hydrocooling; both maintained their quality only up to 4 days. However, the combination of hydrocooling and chilled storage preserved broccoli quality up to 14 days, while the control (without hydrocooling) only lasted until day 10. Therefore, hydrocooling is effective when combined with low-temperature storage, helping to maintain postharvest freshness and extend the shelf life of broccoli.
Image-Based Classification of Robusta Coffee Roasting Degree Using LDA–KNN with Color and Shape Features Desi Kris Tanti Ritonga; Usman Ahmad; Sutrisno Suro Mardjan
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.710-719

Abstract

The determination of robusta coffee roast levels is commonly conducted through visual assessment, which is inherently subjective and prone to inconsistency due to overlapping visual characteristics between adjacent roasting stages. On the other side, objective measurement equipment is often costly and not easily accessible. This study addresses this problem by proposing a digital image–based classification method for five robusta coffee roast levels (green, light, medium, medium-dark, and dark). Parameters included color feature extraction from RGB (Red, Green, Blue), HSV (Hue, Saturation, Value), and shape features including area, perimeter, and circularity are extracted from captured images. A hybrid Linear Discriminant Analysis (LDA) and K-Nearest Neighbor (KNN) classifier with Manhattan distance is employed to enhance class separability and improve classification accuracy. Model performance was evaluated using a confusion matrix (precision, accuracy, recall and F-1 score). Results showed that by integrating multiple visual features and employing a hybrid classification strategy, the proposed approach was able to improve the classification of Robusta coffee roasting levels. The evaluation using a 90:10 data split with an optimal k = 16 resulted in the highest accuracy of 83%.
Development and Characterization of Nutmeg Shell-Based Activated Carbon for Ethylene Adsorption in Fruit Storage Sri Ayu La Aji; Usman Ahmad; Dyah Wulandani
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 2 (2026): April 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i2.841-851

Abstract

Nutmeg shells are categorized as hardwood containing carbon such as cellulose and lignin, making them ideal for use as a material for producing activated charcoal. Activated charcoal can be used as an additive to absorb ethylene, O₂, CO₂, and H₂O to slow down fruit ripening. This study was conducted to produce and characterize ethylene absorbers made primarily from Fakfak nutmeg shells and to determine the effectiveness of ethylene absorbers in delaying the ripening of climacteric fruits. Ethylene adsorbents were produced using a pyrolysis method followed by chemical activation. Characterization of surface area and functional groups was performed through SEM and BET tests, as well as FT-IR tests. To ensure the effectiveness of the absorption capacity, the chemical-physical properties were characterized in accordance with Standard of Indonesia and gas chromatography. The results of the activated charcoal test showed a change in the surface area from 298.211 m²/g to 335.198 (BET). FT-IR test results showed the formation of functional groups, namely -OH, C=C, CO₂, C-H, and C-O groups. GC test results showed 90.5% ethylene absorption. The application of nutmeg shell adsorbent on bananas using sealed LDPE plastic packaging showed that nutmeg shell adsorbent was able to maintain banana quality up to 15 days, although there was no significant difference between treatments (p > 0.05).
Co-Authors . Asmirah . Sabihah . Yulianingsih Abdul Malik Iskandar Adi Sutrisno Ahiruddin Ahiruddin Ali Djamhuri Ardiansyah, Nike Aris Purwanto Armansyah H. Tambunan Arshiya Subhani Asmiatiningsih, Sri Azus, Faidah Baskara Edi Nugraha Christina Winarti Dedy Wirawan Soedibyo Dentaka, Dentaka Desi Kris Tanti Ritonga Desrial Diding Suhandy Dwi Dian Novita Dwi Pamungkas Bermani Dyah Wulandani Efi Toding Tondok Eko Heri Purwanto Emmy Darmawati Enrico Syaefullah Evi Savitri Iriani Fahim Muchammad Taqi Fahmi Riadi Fajar Kurniawan Fajar Kurniawan Firdaus, Jonni Hadi K Purwadaria Haeril, Haeril HALIM, HARIFUDDIN handayani, yossi Hani Fildzah Nadya Harifuddin Harifuddin, Harifuddin Hendra H I Dewa Made Subrata I Wayan Budiastra Iftikhar Alam Khan Iman Sabarisman Indradewa, Rhian Inge Scorpi Tulliza Iptidaiyah, Muhamad Jati Sumarto Putro Jonni Firdaus, Jonni Junaidin, Junaidin Khalimatus Sa&#039;diyah Krah, Courage Y. Kudang Boro Seminar Lilik Pujantoro Lilik Pujantoro Eko Nugroho Lu’lu’i Zulaikho Lydia Ariani Mar'atus Sholihah Mardison Suhil Meika Wahyuni Azrita Meivie Lintang Mohamad Rafi Mohamad Rahmad Suhartanto Monika Marpaung Mudho Saksono Muhammad Masdar Muhammad Sudirman Akili Muhammad Yusuf Antu MUHAMMAD YUSUF ANTU Nadya, Hani Fildzah Nanda Supriana Nanda Wisha Ranawati Nelwan, Leopold Oscar nFN Sarastuti nFN Sutrisno nFN Sutrisno Nijma Nurfadila, Nijma Nikmatul Hidayah Nofiyanti, Sri Handayani Novita Sari Nugraha Edhi S Nugraha Edhi Suyatma Nur Rahma Refilia Nur ‘Azah Putri Wulandari Zainal Putri, Irriwad Ranawati, Nanda Wisha Rizka Wildani Rizky Wulansetiasari Rokhani Hasbullah Rosadi, Ariani Rosyid Ridho Rudy Tjahjohutomo Samsudin Samsudin Samsudin Samsudin Samsudin Samsudin Samsudin Saputri, Diah Ega Sarastuti Sarastuti Sarastuti, Sarastuti Selvi Marcellia Siregar, Gokma Ampetua Siti Mariana Widayanti Sjahrul Annas Slamet Ari Dwi Ratnanto Slamet Widodo Slamet Widodo Sri Ayu La Aji Sri Lestari Sri Widowati Suci Rahmi Sukrisno Widyotomo Suroso . Sut risno SUTRISNO Sutrisno . Sutrisno . Sutrisno Mardjan Sutrisno Sutrisno Sutrisno, Sutrisno Syamsuddin Syamsuddin Tasrif Tasrif Verra Mellyana Waqif Agusta Wawan Hermawan Wendianing Putri Luketsi Yusianto Yusianto