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All Journal Jiko (Jurnal Informatika dan komputer) Oto Rhino Laryngologica Indonesiana Nusantara Science and Technology Proceedings Serambi Engineering
Pandu Wicaksono
Jurusan Administrasi Publik, Fakultas Ilmu Administrasi, Universitas Brawijaya Malang
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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Sustainable Entrepreneurship: The Potential of Campus Waste in Making Entrepreneurial Products with High Selling Value Novembrianto , Rizka; Mirwan, Mohamad; Ervina, Dea Febrica; Sholikhah, Mar'atus; Wicaksono, Pandu
Nusantara Science and Technology Proceedings 8th International Seminar of Research Month 2023
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2024.4125

Abstract

UPN "Veteran" Jawa Timur is one of the campuses in East Java. Various types of waste are produced on campus, including organic waste (used rice, used vegetables, tree branches, leaves, etc.) as well as inorganic waste, one of which is medical mask waste. The existence of these wastes will increase along with increasing human growth, in this case, student enrollment on campus. Therefore, waste processing must be carried out to reduce the generation and impacts that will result. One alternative for processing waste is recycling it into products with high selling value. This community service aims to show that the waste produced can be made into products that have high selling value such as soap from used cooking oil, maggots for fish food, local microorganisms, trash cans from used masks, pots from used masks, candles aromatherapy from used cooking oil and tumbler bottles to reduce use plastic bottles and compost. The method used in community service activities carried out at the UPN "Veteran" Jawa Timur campus is to create solutions for managing the waste produced to solve existing problems. The solution is in the form of creating entrepreneurial products as mentioned previously. The result of this community service has been running smoothly and well. The products made have high selling value. This is proven by the entrepreneurial activities that have been carried out showing that these products are in demand by the public.
APPLICATION OF SUPPORT VECTOR MACHINE ALGORITHM FOR STUDENTS' FINAL ASSIGNMENT STRESS CLASSIFICATION Wicaksono, Pandu; Sriani, Sriani
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 2 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i2.8618

Abstract

In the context of higher education, the final assignment represents the last step in a student's academic journey, a period where students are particularly susceptible to stress. Implementing machine learning techniques, such as the Support Vector Machine (SVM) method, presents a promising approach for early classification of students' stress levels and offers tailored stress management recommendations. This study adopts a quantitative research approach, aimed at classifying student stress levels using the SVM algorithm known for its high prediction accuracy. The research methodology encompasses stages like data collection, preprocessing, classification, results analysis, and accuracy evaluation. In this research, 80% of the dataset is allocated for training, while the remaining 20% is reserved for testing. The study finds that the most effective SVM kernel function is the Radial Basis Function (RBF) with a γ parameter value of 1, which, when applied using RapidMiner, achieves an accuracy of 93.33%. This research is anticipated to make a significant contribution to the development of early stress detection systems for students and offer valuable insights into leveraging machine learning technology for mental health applications. The findings demonstrate that the SVM method with the RBF kernel provides highly accurate classification results, making it a useful tool for effectively identifying student stress level
Utilization of Recycled Glass as an Alternative to Silica Sand Filter Media in Reducing Total Suspended Solids (TSS), Turbidity, and Phosphates in Laundry Wastewater Wicaksono, Pandu; Firra Rosariawari
Jurnal Serambi Engineering Vol. 10 No. 1 (2025): Januari 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

This study examines the comparative performance of recycled glass and silica sand as filter media in the slow sand filtration process to treat laundry wastewater. The main objective of this study was to evaluate the efficiency of recycled glass and silica sand in reducing Total Suspended Solids (TSS), turbidity, and phosphate content in laundry wastewater effluent. The selection of recycled glass as a filtration medium is due to its characteristic of having a small sphericity value so that its porosity value is large which results in a small headloss value. The use of recycled glass as an alternative media is an effort to reduce the exploitation of the use of sand media in filtration. The results of the study showed that the use of recycled glass was quite efficient than silica sand in reducing TSS and turbidity with a percentage of TSS removal (94%% vs 90%) and turbidity (90,57% vs 86,04%). While in phosphate removal, silica sand was more efficient than recycled glass with a percentage of removal (46,74% vs 83,48%). Before the research was conducted, a maturation phase was carried out for 2 weeks to form the schmutzdecke layer. The addition of Effective Microorganism 4 (EM4) was carried out to help the growth of the schmutzdecke layer in this study.
Salivary pepsin detection for laryngopharyngeal reflux diagnosis: sensitivity and specificity comparison with scoring system: Salivary pepsin detection for LPR diagnosis Kandhi, Putu Wijaya; Manurung, Rosauli; Wicaksono, Pandu
Oto Rhino Laryngologica Indonesiana Vol. 55 No. 1 (2025): VOLUME 55, NO. 1 JANUARY - JUNE 2025
Publisher : PERHATI-KL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32637/orli.v55i1.722

Abstract

Background: Laryngopharyngeal reflux (LPR) is characterized by the backflow of stomach contents into the larynx and pharynx. Gastroesophageal reflux disease (GERD) is a similar condition often mistaken for LPR. Detection of oral salivary pepsin has been developed as an alternative diagnostic modality for LPR. Additionally, there are diagnostic aids for LPR utilizing scoring systems, namely Reflux Symptoms Score (RSS) and Reflux Sign Assessment (RSA). Purpose: To assess the sensitivity and specificity of saliva pepsin testing compared to RSS and RSA in diagnosing LPR. Method: A prospective cross-sectional study involving 30 subjects with LPR symptoms was conducted to evaluate the diagnostic accuracy of saliva pepsin levels compared to RSS and RSA scores in LPR patients. Diagnostic tests performed included sensitivity, specificity, Positive Predictive Value (PPV), and Negative Predictive Value (NPV). Result: The male-to-female ratio was 1:1.3. Saliva pepsin testing with a cutoff value of ≥16 ng/mL, demonstrated a sensitivity of 100%, specificity of 90%, PPV of 95.24%, and NPV of 100% against the RSS questionnaire. Meanwhile, when assessed against the RSA questionnaire, saliva pepsin testing showed a sensitivity of 95.24%, specificity of 88.89%, PPV of 95.24%, and NPV of 88.89%. The results indicated that saliva pepsin testing had good sensitivity and specificity, with values of 100% and 90%, respectively, against the RSS questionnaire; and 95.24% and 88.98%, respectively, against the RSA questionnaire. Conculsion: Saliva pepsin testing could be used as a primary diagnostic modality in the future due to its non-invasive nature, ease of administration, and good patient tolerance.
Co-Authors Ervina, Dea Febrica Firra Rosariawari Kandhi, Putu Wijaya Manurung, Rosauli Mirwan, Mohamad Novembrianto, Rizka Sholikhah, Mar'atus