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Agung Prabowo

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Implementasi Convolutional Neural Network Untuk Klasifikasi Deteksi Emosi Wajah Secara Real-Time Berbasis Web: Implementation of Convolutional Neural Network for Web-Based Real-Time Facial Emotion Detection Classification Rahmadana, Muhammad Akbar; Sutami; Windiarti, Ika Safitri; Agung Prabowo; Amar Ma’ruf
Jurnal Sains Komputer dan Teknologi Informasi Vol. 8 No. 1 (2025): Jurnal Sains Komputer dan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

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

Perkembangan teknologi Human-Computer Interaction (HCI) menuntut sistem yang mampu memahami kondisi emosional pengguna secara otomatis, namun metode konvensional seringkali terkendala oleh variasi ekspresi dan pencahayaan. Penelitian ini bertujuan untuk mengimplementasikan algoritma Convolutional Neural Network (CNN) dalam mengklasifikasikan tujuh emosi dasar wajah secara real-time melalui platform berbasis web. Metode penelitian menggunakan pendekatan eksperimental dengan model pengembangan Waterfall, memanfaatkan dataset FER2013 untuk melatih model CNN yang kemudian diintegrasikan dengan OpenCV dan TensorFlow.js untuk pemrosesan sisi klien. Sistem dirancang untuk menerima input dari webcam maupun rekaman layar guna mendukung observasi pembelajaran daring. Hasil pengujian terhadap 10 responden guru menunjukkan bahwa sistem mampu bekerja dengan rata-rata akurasi keseluruhan sebesar 65,4%. Evaluasi persepsi pengguna menggunakan skala Likert menghasilkan skor interpretasi sebesar 85,2%, yang mengindikasikan bahwa sistem masuk dalam kategori sangat baik dan layak digunakan sebagai alat bantu monitoring emosi dalam interaksi digital.

The Characteristics of MSME Entrepreneurs in Surakarta, Indonesia Riani, Asri Laksmi; Prabowo, Agung; Andriyani, Mega Shintya
APMBA (Asia Pacific Management and Business Application) Vol. 8 No. 2 (2019)
Publisher : Department of Management, Faculty of Economics and Business, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.apmba.2019.008.02.4

This study aims to characterize the profile of entrepreneurs from micro, small and medium enterprises (MSME) and core business employees in Surakarta, one of the heritage city in Indonesia. The characteristics examined in this study are the need for achievement, locus of control, tolerance for ambiguity, creativity/innovation, self-confidence, propensity to risk, and a sense of self-sufficiency/freedom. This study also attempts to determine the distinguishing characteristics between entrepreneurs and core business employees. Forty core business employees and thirty-six entrepreneurs were selected using purposive sampling method and questionnaires as the research instruments. Data testing was performed using descriptive statistical analysis methods and independent sample t-test to examine the differences in the characters reflected in the sample studied. The test results indicate that there are significant differences between entrepreneur and core business employees in their character, including the need for achievement, ambiguity tolerance, creativity/innovation, propensity to risk, and a sense of self-sufficiency/freedom. However, there is no significant difference in the character of self-confidence and locus of control. In addition, descriptive statistical tests show that entrepreneurs have a higher mean score on all aspects of the characteristics than core business employees.

Modelling The Probability of Insurance Company’s Bankruptcy Using Integro-Differential Equation and Its Simulation Maulida, Ghafira Nur; Prabowo, Agung; Supriyanto, Supriyanto; Mamat, Mustafa; Sukono, Sukono
Indonesian Actuarial Journal Vol. 1 No. 1 (2025): Indonesian Actuarial Journal
Publisher : Persatuan Aktuaris Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65689/iajvol01no1pp084-094

Ruin is one of the risks that insurance companies may face. Therefore, modeling the probability of ruin is a crucial aspect of risk management. This study aims to model and analyze the probability of ruin in insurance companies using integro-differential equations, assuming that the claim size follows a mixtures of two exponential distributions. The research methods are literature study and numerical simulation with phyton. Numerical calculations were performed using Python programming, and the results are presented in tables and graphs to facilitate analysis. The model is applied to three different cases. The findings indicate that the probability of ruin is inversely proportional to the initial capital and premium loading, while it is directly proportional to the expected value of claims. In other words, the probability of ruin decreases significantly as the initial capital and premium loading increase, whereas it increases as the expected value of claims rises. Therefore, the greater the surplus of an insurance company, the lower the probability of ruin.

Evaluation of User Acceptance and Experience of the Coretax System Among Corporate Taxpayers in Indonesia Rahmah, Khairunnisa; Yansyah, Deli; Prabowo, Agung
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2686

The rapid digital transformation in public administration has encouraged the Direktorat Jenderal Pajak (DJP) of Indonesia to implement the Coretax system as part of its modernization agenda for tax administration. This study aims to evaluate the level of user acceptance and experience of the Coretax system among corporate taxpayers in Indonesia using the Technology Acceptance Model (TAM) approach. The research focuses on examining the relationships between perceived ease of use (PEOU), perceived usefulness (PU), behavioral intention (BI), and use behavior (UB), with an additional variable (usage barriers) to explore external factors that may hinder technology adoption. The study employed a quantitative method involving a survey of 136 corporate taxpayers who actively use Coretax. Data were analyzed using descriptive statistics, regression analysis, and mediation testing through the PLS-SEM approach. The results indicate that all primary hypotheses (H1–H5b) are significantly supported (p < 0.05). PU emerged as the most dominant factor influencing BI and UB, while PEOU plays a significant role in shaping PU and BI. Behavioral intention acts as a full mediator between users’ perceptions and actual usage behavior. Moreover, perceived usage barriers negatively affect both PEOU and BI. These findings validate TAM within the Indonesian digital taxation context and highlight that successful Coretax implementation depends not only on system usability and benefits but also on continuous technical support and user training to ensure a positive digital experience.

Survival Analysis Of Long Time To Recovery Of Covid-19 Patients Using The Antiviruses Remdesivir And Favipiravir Using The Kaplan-Meier Method Prabowo, Agung; Akmalina, Diniatul; Siahaan, Assana Dea; Puty, Flower of Your Dreams Yati
International Journal of Quantitative Research and Modeling Vol. 6 No. 4 (2025): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i4.1082

The coronavirus first appeared in Wuhan, China, in early December 2019. This virus is also known as Coronavirus disease 2019 (COVID-19). Based on the increasing number of COVID-19 cases and the high number of deaths, further research is deemed necessary. In this case, an effective treatment is needed to accelerate patient recovery. Two commonly used drugs are Remdesivir and Favipiravir. This study used the Kaplan-Meier method to evaluate the recovery time of COVID-19 patients based on two types of treatment: Remdesivir and Favipiravir. Survival analysis was conducted to compare the effectiveness of the two treatments in prolonging patient recovery time. The results showed a difference in effectiveness between the two types of treatment in terms of survival probability.

Asuransi Usaha Tani Padi Syariah berbasis Indeks Curah Hujan Prabowo, Agung; Amitarwati, Diah Paramita
Jurnal Dinamika Ekonomi Pembangunan Vol 8 (2025): Special Issue: Call for Paper Pusaka Jateng
Publisher : Fakultas Ekonomika dan Bisnis, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jdep.8.0.279-303

Since 2016, the Government of the Republic of Indonesia has implemented the Rice Farming Insurance (AUTP) program as mandated by law. In the context of Central Java, with its large Muslim population and successful implementation of sharia economics, it is necessary to develop an AUTP model based on sharia principles. This research aims to create an AUTP model by applying sharia principles (Sharia AUTP or AUTPS) based on a rainfall index and to determine the amount of contribution and compensation within the AUTPS framework. The research methodology employs literature study and model development through stages of planning, analysis, pre-design, actuarial calculation, and final design. The research data comprises rainfall and rice production data from Brebes Regency for the years 2018–2022. The novelty of this research lies in the application of sharia principles and the use of a rainfall index to replace crop failure-based insurance. Consequently, the actuarial calculation for implementing contributions and compensation is based on the rainfall index. The contribution amount is calculated using the Black-Scholes Cash-or-Nothing Put Option equation, while compensation is calculated using the historical burn analysis method. The research results in a proposed rainfall index-based AUTPS model, where the contribution amount is determined based on rainfall percentiles, and compensation payments are categorized as maximum compensation, partial compensation, or no compensation. The mechanism for managing contributions (premiums) follows sharia principles and yields two types of AUTPS: AUTPS-R (without a savings element) and AUTPS-RI (with a savings element). The recommendation from this research is the need to pilot the developed concept in collaboration with a sharia insurance company before it is adopted as a policy by the Regional Government of Central Java Province.

Tinjauan Sistematis Teknologi Radar Mimo dan Kecerdasan Buatan untuk Deteksi Nyeri Non-Invasif Lintas Populasi Wijaya, Sky Xavier; Kenichiro, Yoshie; Felim, Filbert; HS, Christnatalis; Prabowo, Agung
Dinamik Vol 31 No 1 (2026)
Publisher : Universitas Stikubank

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35315/dinamik.v31i1.10361

Deteksi nyeri secara objektif merupakan tantangan penting dalam dunia medis, terutama bagi pasien yang tidak mampu menyampaikan rasa sakitnya secara verbal, seperti bayi, lansia, atau penderita gangguan komunikasi. Teknologi non- invasif berbasis sensor menjadi solusi potensial untuk mengatasi keterbatasan metode subjektif. Penelitian ini bertujuan meninjau secara sistematis literatur terkini mengenai penerapan Radar MIMO dan algoritma kecerdasan buatan dalam deteksi nyeri non-invasif. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan pedoman PRISMA 2020, melalui penelusuran basis data IEEE Xplore, ScienceDirect, PubMed, Google Scholar, dan SpringerLink untuk periode 2021– 2025. Dari hasil seleksi diperoleh 17 artikel inklusi yang mencakup penggunaan Radar MIMO, UNBC-McMaster, BioVid, Medical Imaging (CT/MRI), Radar SISO, serta studi review, survey, bibliometrik, dan teoretis. Dari sisi algoritma, CNN dan SVM menjadi pendekatan paling dominan, diikuti Neural Network dan metode lain, dengan tren yang mengarah pada penggunaan multimodal untuk meningkatkan akurasi. Hasil penilaian kualitas dengan GRADE menunjukkan mayoritas studi berkualitas sedang, dengan keterbatasan utama pada ukuran sampel kecil, pelabelan nyeri yang belum konsisten, bias populasi, serta kurangnya validasi klinis nyata. Kesimpulannya, Radar MIMO dan algoritma deep learning memiliki potensi besar untuk deteksi nyeri non-invasif. Namun, penelitian lanjutan perlu difokuskan pada pembangunan dataset yang lebih inklusif, standarisasi pelabelan nyeri, serta pengujian dalam konteks klinis, dengan memperhatikan aspek etika dan privasi agar teknologi ini dapat diimplementasikan secara luas dalam layanan kesehatan.

Comparison of Estimation Methods for the Weibull Distribution in Indonesian Life Tables Alibazah, Terra Dei; Prabowo, Agung
Indonesian Actuarial Journal Vol. 1 No. 2 (2025): Indonesian Actuarial Journal
Publisher : Persatuan Aktuaris Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65689/iajvol01no2pp185-202

This study evaluates the performance of the Ordinary Least Squares, Nonlinear Least Squares, and Maximum Likelihood Estimation methods in fitting the two parameter Weibull distribution to the 2019 Indonesian Life Table and the 2023 Indonesian Population Life Table, focusing on ages 59-111. The lower age bound is selected to isolate the adult and late-life mortality in which the Weibull model’s assumptions are most applicable. Although both life tables exhibit monotonically increasing mortality with the same terminal age, they differ in the age at which mortality acceleration becomes pronounced. Goodness-of-fit was assessed through a comparison of root mean squared errors, root mean squared logarithmic errors, and residual plots. The results indicate that the Ordinary Least Squares method, while computationally stable, tends to overestimate survival beyond the terminal age. The Nonlinear Least Squares method better aligns with the empirical survival yet similarly extends the terminal age. The Maximum Likelihood Estimation method provides more realistic terminal ages but inflates survival at infancy and midlife stages. These findings highlight that estimation methods and data segment selection strongly influence the reliability of Weibull-derived life tables. Applications in actuarial and demographic practices require improved estimation strategies to better capture late-age mortality.

Pengabdian Berbasis Hasil-Hasil Riset Etnomatematika kepada Guru Matematika SMA IT Al Irsyad Al Islamiyyah Purwokerto Prabowo, Agung; Novita Eka Chandra; Melda Juliza; Felinda Arumningtyas
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 5 No. 2: Februari 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v5i2.14374

Etnomatematika adalah matematika berbasis budaya yang menjadikan budaya sebagai landasan dalam melakukan riset. Hasil-hasil riset etnomatematika berguna sebagai materi pembelajaran di ruang kelas untuk siswa, termasuk juga mahasiswa. Pengabdian ini menyasar pada guru-guru sebagai mitra pengabdian untuk menyampaikan hasil-hasil riset pengusul/pengabdi yang telah diteliti sejak 2015. Materi yang diterima mitra guru akan diolah, dikembangkan dan disampaikan kepada siswa-siswanya. Pengabdian ini menjawab permasalahan kebutuhan mitra terhadap materi etnomatematika terbaru terkait dengan pengembangan diri mitra guru terhadap akses dan penguasaan etnomatematika. Solusi untuk mengatasi masalah tersebut adalah dengan mengenalkan materi etnomatematika terbaru tentang penyandian angka tahun, khususnya sengkala dihyang. Metode pengabdian berupa penyampaian materi kepada para guru (sosialisasi), telaah artikel dan bedah buku etnomatematika hasil karya pengabdi.

Sustainable Production of Biodiesel Using Eggshell-Derived CaO/K₂O Catalyst: Influence of Process Variables and Factorial Design Analysis Prabowo, Agung; Syarifuddin Oko; Muh Irwan; Alvyano; Gading Bagus Mahardika
Eksergi Vol. 22 No. 01 (2026): JANUARY 2026
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/eksergi.v22i01.7153

This study investigates the effects of CaO/K₂O catalyst mass (X₁) and reaction time (X₂) on biodiesel yield produced from waste cooking oil via transesterification. A 2² factorial design was employed to evaluate the main and interaction effects of both parameters. Analysis of variance (ANOVA) confirmed that the developed regression model was statistically significant (p = 0.0253) with a high coefficient of determination (R² = 0.9386), indicating excellent model adequacy. The reaction time (X₂) exhibited the most significant positive effect on biodiesel yield (t = 5.96), while the catalyst mass (X₁) showed a negligible influence. The interaction term (X₁X₂) presented a moderate negative effect, suggesting that excessive catalyst loading combined with longer reaction duration may slightly decrease yield due to soap formation and emulsification. The contour profiler revealed that yield increases with both factors up to an optimum point, after which further catalyst addition provides minimal improvement. The optimum conditions were achieved at a catalyst mass of 4.5 g and a reaction time of 4.5 h, resulting in a biodiesel yield of 70.3%. These findings confirm that reaction time is the dominant factor affecting transesterification efficiency, and that CaO/K₂O derived from waste eggshells serves as an effective and sustainable heterogeneous catalyst.

Co-Authors ., Rusliyawati A.A. Ketut Agung Cahyawan W Abd. Rasyid Syamsuri Abdul Halim, Nurfadhlina Abdul Muis Abdul Syukur Achmad Ridwan Achmad Ridwan, Achmad adi surya antara, adi surya Adiati, Ani Adinda, Baiq Tami Dwi Aglia, Arla Agus Sugandha Agustawijaya, Didi Supriadi Agustini Tripena Br Surbakti Ahmad Fadli Ahmad Fadli Akmalina, Diniatul Al-Ghifari, Muhammad Aziz Abdullah Alfaridzi, Sultan Izbik Riska Alibazah, Terra Dei Alif, Muhammad Ikhsan Alvyano Amal, Moh Alfi Amar Luthfi Amar Ma’ruf Amir, Supratiwi Amitarwati , Diah Paramita Amitarwati, Diah Paramita Andini, Kiki Andini Andoko Andoko, Andoko Andriawan, Deden Andriyani, Mega Shintya Andryani Handrayani Putri Angelica Sitanggang, Tiffany Maria Arditianto, Yanuar Ari Purwanti Ari Wardayani, Ari Arif Wibawa Arrosyid, Muhammad Daffa Arumingtyas, Felinda Ashari, Isya Asri Laksmi Riani Azahra, Astrid Sulistya Azizah, Azkiyatul bin Mamat, Mustafa binti Abdullah Suhaimi, Nurnisaa Br. SB, Agustini Tripena Bukit, Dimas Dimanta Candra candra Choirunisa, Erika Nurul Chun wang Deden Andriawan Dei Alibazah, Terra Delima Sitanggang, Delima Deni Noviana Dewi Ratnasari, Erlinda Dharma Ajie Nur Rois Diki Hidayat Duran, Filbert Dwi Abadi, Medi Trilaksono Elisa, Syifa Fadlilah, Fajar Nur Fahreza, Muhammad Naufal Felim, Filbert Felinda Arumningtyas Firdaus, Muhammad Ilham Gading Bagus Mahardika Gea, Radiman Ginting, Riski Titian Govandy Gurning, Rosintan Guswanto, Bambang Hendriya Guswanto, Bambang Herdriya Halawa, Hendi Jaya Halim, Nurfadhlina Abdul Hamisu Kankarofi, Rabiu Hamka, Achmad Chaerul Handinata Haryadi - Hati, Primanda Berlian Hendriva Guswanto, Bambang Henry Chandra Herol, Herol Heru Suryanto Hoesain M, Ismail HS, Christnatalis Hulu, Yakin Rianto Hutasoit, Feliks Daniel I Wayan Arsa Suteja Ida Wiendijarti Idha Sihwaningrum Ika Safitri Windiarti Immanuel Sinaga, Ferdy Indah, Sika Nur Indra Surjati Irman, Dede Ismawati, Heni Istikanaah, Najmah Itsnaini, Nurul Janna, Nur Jorgi L.Tobing, Stefanus kalfin Kalfin Kamal Prohandani Karpriana, Angga Permadi Kenichiro, Yoshie Ketaren, Faisal Haries Khairunisyah, Sevia Tri Kinanti, Fani Rasya Kireina, Michiko Komalasari Komalasari Kristina Wijayanti Kusumawati, Fajry Ayu Kusumo, Yudhy Widya Laksito, Grida Saktian Lianingsih, Nestia Mala Nurilmala Manalu, Rio Vincent Marulam Manday, Dhanny Rukmana Marsanda, Mareta Mashuri Mashuri Maulida, Ghafira Nur Mawaddah Harahap, Mawaddah Meilia Wulansari Melda Juliza Mendrofa, Fide Moses Miftahurrizqi, Miftahurrizqi Monica Dwi Kusumaningsih Muchtaranda, Ismail Hoesain Mufidah, Afifah Muh Irwan Muhamad Awiet Wiedanto Prasetyo Muhammad Haris Qamaruzzaman Muhammad Rizki Muhsin Muhsin Mukarromah, Zulfatul Muliady, Jefry Munahefi, Detalia Noriza Muntafi’ah, Naailah Mustafa Mamat Muzakki, Muhammad Sulthan Naibaho, Sona Halomoan Napitupulu, Agrifa Insani Nazilul Falah, Eliza Nazira, Aisy Azra Nofriadi Nofriadi Norhalisa, Siti Norhayati Novia Novita Eka Chandra Nunung Nurhayati Nur Amel Fitriyan Nur Heri Cahyana Nur Jannah Nurnisaa Binti Abdullah Suhaimi Nuroso, Dwiyani Larasati Putri Oliver Samuel Simanjuntak Pakuan, Gani Muhammad Paramita Amitarwati , Diah Paramita Amitarwati, Diah Pasaribu, Firdaus Hosea Pasaribu, Tessa Vena Melinda Perangin Angin, Despaleri Pirdaus, Dede Irman Polem, Naufal Maulana Pramesty, Elya Arum Prasetya, Riduwan Pratama, Anugrah Robby Prihartini Widiyanti PUJI LESTARI Purba, Rian Elby Putri, Cici Puty, Flower of Your Dreams Yati Rahmadana, Muhammad Akbar Rahmah, Khairunnisa Ramadhan, Abil Ramdhani, Arif Retno Hendariningrum Rifattul Qonita, Dewi Rini Cahyandari Rini Wahyu Sayekti Rita Sari Riyanto Haribowo Robetson, Robetson Rosady, Tiara Rulianah, Nita Saefullah, Rifki Salma Mukhtar, Andina Saputra, Jumadil Sari Nurahmandhani, Ambar Sari, Fitra Bona Sehah Sehah Sembiring, Icha Dwi Putri Br Shihah, Hanna Dzawish Siahaan, Assana Dea Sidi, Pramono Sidiq, Fahmi Simbolon, Marco Duran Sinaga, Alfrendo Sinaga, Bram Dimpos Fajar Sinarpaska, Stefany Mahatma Siregar, Saut Dohot Soemitro Padmowijoto Sri Endang Rahayu Sudarmin Sudarmin Suhaimi, Nurnisaa binti Abdullah Suhariman, Fikrianto Sukono Sukono Sulistyowati, Tri Sulistyowati Sulthan Izbik Riska Alfaridzi Sumita Wardani Sunoko , Ray Aksan Supriyanto Supriyanto Supriyono Supriyono Suratno Suratno Suroto suroto Suroto Suroto Suroto Suroto Susilawati , Susi Sutami Syaiful Anwar, Agus Setiadi, Suwali, Syamsul Arifin Syarifuddin Oko Tambunan, Fiktor Januari Tarigan, Nathanael Atan Baskita Tarigan, Perwira Togar Timoteus Gultom Tri Ayu Mulyani Tri Sulistyowati Triandi Triandi Tripena, Agustina Uswatun Chasanah Velicia, Lorraine Putri Vimelia, Willen Wahyuni, Nur Maulida Wahyuni, Olivia Nindi Wijaya, Frederico Wijaya, Sky Xavier Wijayanti, Marwah Daud Wilbert Solo, Eddrick Wisnalmawati Wisnalmawati Yakubu, Usman Abbas Yansyah, Deli Yanti, Voni Yasmin, Arla Aglia Yaza Azzahara Ulyana Yelia, Cica Yenni Sri Utami Yenni Sri Utami, Yenni Sri Yennimar, Yennimar Yhenis Apriliana Yohana Vivit Yohandoko, Setyo Yohandoko, Setyo Luthfi Okta Yuningsih, Siti Hadiaty Zaenal Bachruddin Zahra, Alika Zinedine Amalia Noor Mauludy Reihan Zulfahmi, Muhammad Hafidz

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