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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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
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
Clinical Outcome of Patients with Diffuse Axonal Injury Receiving Adrenocorticotropin Analogue at Dr. Soetomo Hospital Wahyuhadi, Joni; Wicaksono, Pandu; Notobroto, Hari Basuki
Folia Medica Indonesiana Vol. 54, No. 3
Publisher : Folia Medica Indonesiana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Brain traumatic injury (BTI) is one of the causes of death and disability worldwide that affects people regardless of sex, age, income and social status, race, or nationality. In patients with brain traumatic injury, one of the problems that occurs is Diffuse Axonal Injury (DAI) that can produce a direct clinical effect, leading to coma and death. Adrenocorticotropin analogues (ACTH) is one of neuroprotective therapy in brain injury. The aim of this study was to analyze the effect of ACTH analogue on the clinical output (Glasgow Outcome Score/GOS and Bartle Index) in patients with DAI at hospital discharge, 3 months and 6 months post-treatment. This study revealed that ACTH analogue administration resulted in higher GOS and Barthel Index scores than that in control. Further study will required with other variables, such as cognitive and motor examination, and some biomarkers can also be examined serially.
Pengaruh Pemasaran Digital terhadap Keputusan Pembelian pada Brand Makeover Setiyani, Devi; Puspita, Tria; Allaudin, Alif Azmi; Diastama, Yolland Cikal Raya; Wicaksono, Pandu; Nurfaizy, Arif Ikhsan
Determinasi: Jurnal Penelitian Ekonomi Manajemen dan Akuntansi Vol. 3 No. 3 (2025)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/determinasi.v3i3.495

Abstract

Penelitian ini berfokus pada pengaruh elemen digital marketing, seperti medsos, promosi, ulasan produk, dan personal branding, terhadap tindakan aktual konsumen, khususnya pada produk kosmetik Make Over. Penelitian ini bertujuan untuk mengukur seberapa jauh elemen-elemen marketing digital tersebut memengaruhi keputusan pembelian konsumen. Pendekatan kuantitatif digunakan dalam penelitian ini, dengan metode pengumpulan data melalui kuesioner ini yang melibatkan 150 responden yang dipilih menggunakan teknik purposive sampling. Analisis data dalam penelitian ini menggunakan metode regresi linier berganda untuk menguji pengaruh di setiap-setiap variabel independen terhadap variabel dependen. Hasil penelitian ini menunjukkan bahwa media sosial dan promosi memiliki pengaruh positif yang signifikan terhadap keputusan pembelian, sementara ulasan produk dan personal branding berperan sebagai faktor pendukung dalam membangun kepercayaan konsumen. Kesimpulan dari penelitian ini menggarisbawahi pentingnya integrasi strategi pemasaran digital dalam membangun koneksi yang lebih kuat dengan konsumen dan meningkatkan loyalitas terhadap merek. Hasil penelitian ini juga memberikan rekomendasi praktis bagi perusahaan kosmetik untuk memanfaatkan teknologi digital dan pendekatan berbasis data untuk mencapai daya saing yang lebih baik di pasar. Kata Kunci: Pemasaran Digital, Media Sosial, Personal Branding, Promosi, Keputusan Pembelian.