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All Journal Jurnal Agribisnis Terpadu Inferensi Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Journal of Community Service in Science and Engineering Diakoneo: Jurnal Pengabdian kepada Masyarakat Theta: Journal of Statistics
Ferdian Bangkit Wijaya
Universitas Sultan Ageng Tirtayasa
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Determinan Perilaku Konsumen terhadap Pembelian Buah Pisang Ambon (Musa paradisiaca var. Sapientum (l.) Kunt.) di Jakarta Selatan Saat Pandemi Covid-19 Rahel, Gabe Nur; Budiaji, Weksi; Mulyati, Sri; Bukhari, Ahmad; Mursyidah, Himmatul; Abdullah, Syarif; Sholihin, Miftahus; Wijaya, Ferdian Bangkit
JURNAL AGRIBISNIS TERPADU Vol 17, No 2 (2024): Jurnal Agribisnis Terpadu
Publisher : Jurusan Agribisnis Fakultas Pertanian Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33512/jat.v17i2.29968

Abstract

This study aims to determine the variables that influence consumer behavior in purchasing decisions in buying bananas at Toko Tani Indonesia Center Pasar Minggu. This study was conducted from October 2021 to June 2022.  The sampling technique used in this study was accidental sampling, with the number of respondents as many as 40. The independent variables in this study suffered from a multicollinearity problem. One method to overcome this is applying the regression of Least Absolute Shrinkage and Selection Operator (LASSO).  LASSO regression can solve the problem of multicollinearity by shrinking the estimated coefficients towards zero or setting them to exactly zero so that LASSO regression can select variables in the regression model. The result of the LASSO analysis, variables that had a significant influence on consumers' decision to buy bananas were physiological factors, i.e., motivation, perception, knowledge, belief, and attitude.
Pengelolaan Sampah Organik dan Anorganik melalui Bank Sampah dan Budidaya Maggot di Kampung Marapit, Desa Sidamukti Ferdian Bangkit Wijaya; Akhmad Arif Prasojo; Muhammad Tabina Zachari; Destari Rahman; Ike Juliana Putri Pangaribuan
Diakoneo : Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 2 (2025): Juni
Publisher : Politeknik Negeri Kupang

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Abstract

Permasalahan pengelolaan sampah di Kabupaten Serang, khususnya di Kampung Marapit, Desa Sidamukti, Provinsi Banten masih menjadi isu lingkungan yang mendesak akibat meningkatnya volume sampah dan rendahnya partisipasi masyarakat dalam pengelolaan sampah. Program pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman, kesadaran, dan keterampilan warga dalam mengelola sampah yang bernilai ekonomis guna mendukung pembangunan desa berkelanjutan. Kegiatan yang dilaksanakan meliputi sosialisasi, pelatihan pembuatan pupuk organik cair (POC), budidaya maggot, monitoring pengelolaan sampah, serta pendirian bank sampah. Hasil kegiatan menunjukkan adanya perubahan positif dalam perilaku masyarakat, di mana warga mulai memilah sampah, memanfaatkan limbah organik untuk POC dan maggot, serta menabung sampah anorganik di bank sampah. Program ini tidak hanya berdampak pada peningkatan kebersihan dan kesehatan lingkungan, tetapi juga membuka peluang ekonomi baru bagi masyarakat. Keberhasilan program ini diharapkan dapat menjadi model pengelolaan sampah berbasis masyarakat yang dapat direplikasi di desa-desa lain, serta mendukung pencapaian tujuan pembangunan berkelanjutan (SDGs) di tingkat lokal.
Empowering the Creative Economy through Digital Branding and E-Commerce Optimization for KWT Bunga Telang in Tegal Ratu Village Wijaya, Ferdian Bangkit; Budiaji, Weksi; Arina, Faula; Sonda, Atia; Mahuda, Isnaini; Abdullah, Syarif; Utami, Sofi Cahya; Wirantara, Syahtriandi
Journal of Community Service in Science and Engineering (JoCSE) Vol 5, No 1 (2026): Available Online in April 2026
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jocse.v5i1.39772

Abstract

Community service is a fundamental pillar of higher education aimed at transforming academic research into practical solutions for societal empowerment. This community service program focuses on the KWT Bunga Telang in Tegal Ratu Village, Cilegon, which faces significant hurdles in digital transformation despite having high-potential herbal products. Using a participatory approach, this program implemented a comprehensive strategy involving upstream production standardization, visual branding restructuring, and downstream digital marketing optimization. The concrete outputs of this program include standardized professional packaging designs, a curated digital product catalog, and a verified e-commerce presence on the Shopee platform. Results from pre-test and post-test evaluations indicated a significant increase in the partners' cognitive and practical mastery, rising from an average of 42% to 88%, with a mean difference of 46%. This intervention effectively shifted the group’s operations from traditional, limited local sales to a broader digital market reach, lowering psychological barriers toward technology adoption and establishing a robust digital presence for local herbal products. The synergy between academia and local stakeholders proved essential in accelerating economic independence for women-led micro-enterprises.
Robust Quality Control Implementation for Nickel Pig Iron Using Median Absolute Deviation Estimators Aditya Rahadian Fachrur; Chyntia Devi Octaviany; Wiwien Suzanti; Midia Rahma; Mariana Feronica Damanik; Ferdian Bangkit Wijaya
Theta: Journal of Statistics Vol 1, No 1 (2025): Available Online in March 2025
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v1i1.31481

Abstract

Nickel Pig Iron (NPI) is one of the main products of Indonesia's nickel-based industry, which is still expanding. Reducing production costs and guaranteeing product quality depends on maintaining a constant nickel content. The Median Absolute Deviation (MAD) estimator, which is resistant to outliers and non-normal distributions, is used in this study's control charts and process capability analysis. After 15 days of production, data was gathered and examined using capability indices and control charts based on MAD. According to the results, the process mean is not statistically in control since many points exceed the control borders, even while process variation stays within the control limits. Acceptable process precision was indicated by the process capability index CpMAD being above 1. However, the CpkMAD value below 1 suggests that the mean process output does not consistently meet the target specifications. These findings highlight the need for further investigation and process improvement to enhance quality consistency in NPI production.
Forecasting the Open Unemployment Rate in Banten Province Using the FB Prophet Method in Python Programming Language Ferdian Bangkit Wijaya; Deananta Pramudia Putra; Mahsa Azzahra; Faula Arina; Fajri Ikhsan
Theta: Journal of Statistics Vol 1, No 1 (2025): Available Online in March 2025
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v1i1.31309

Abstract

The Open Unemployment Rate is a key indicator in measuring labor market imbalances, reflecting the economic dynamics of a region. Banten Province has consistently ranked among the top three provinces with the highest Open Unemployment Rate in Indonesia over the past decade, indicating structural challenges in employment. To address this issue, a forecasting model is needed to provide accurate predictions that support more effective labor policy planning. This study uses the Prophet method, an additive regression approach developed by Facebook, to forecast the Open Unemployment Rate in Banten Province over the next 10 semesters (February 2025-August 2029). The data used is sourced from the Statistics Indonesia (BPS) for the period 2005-2024, collected every semester (February and August). The model's performance is evaluated using the Mean Absolute Percentage Error (MAPE) as the primary evaluation metric. The results show that the Prophet model effectively captures trend and seasonal patterns. With a MAPE value of 5.3910%, the model demonstrates very good accuracy (MAPE < 10%), making it suitable for medium-term forecasting. The predictions indicate a downward trend in the Open Unemployment Rate in Banten over the next five years. The conclusion of this study suggests that the Prophet model can be a reliable tool for projecting the Open Unemployment Rate and supporting labor policy planning in Banten. Future research is expected to incorporate external factors or use hybrid modeling approaches to improve prediction accuracy.
Comparative Analysis of Univariate and Spatio-Temporal Models for Forecasting Micro and Small Industries in Java Ferdian Bangkit Wijaya; Weksi Budiaji; Aulia Ikhsan; Agung Satrio Wicaksono; Aditya Rahadian Fachrur; Dinda Dwi Anugrah Pertiwi
Theta: Journal of Statistics Vol 1, No 2 (2025): Available Online in September 2025
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v1i2.37067

Abstract

Micro and Small Industries (MSEs) serve as the backbone of the regional economy in Java, Indonesia, characterized by high volatility and potential spatial interdependencies. While advanced spatio-temporal models like GSTARIMA are theoretically superior in capturing inter-regional spillover effects, their empirical effectiveness on limited annual aggregate data remains questionable. This study evaluates the forecasting performance of the univariate ARIMA model against the multivariate GSTARIMA model for predicting the number of MSE business units across six provinces in Java from 2013 to 2024. Using a Queen Contiguity spatial weight matrix and Root Mean Square Error (RMSE) as the evaluation metric, the study rigorously tests the Principle of Parsimony. Preliminary analysis using Moran’s I indicates non-significant spatial autocorrelation, suggesting that business growth is predominantly driven by internal temporal inertia rather than immediate spatial propagation. Consequently, the results demonstrate that the simpler ARIMA model outperforms the complex GSTARIMA model in 10 out of 12 testing scenarios (83.3%), with accuracy improvements reaching up to 94% in specific provinces. The study concludes that adding spatial complexity to short-term annual time series (N=12) leads to over-fitting without proportional gains in accuracy. The ARIMA-based forecast for 2025–2029 identifies three distinct regional growth typologies: expansive growth, market saturation, and structural correction, providing critical insights for differentiated regional policy planning.
Upaya Peningkatan Kesadaran Perilaku Anti-Perundungan Berbasis Pemodelan Perilaku Melalui Sosio-Drama di SDN Tegalratu Kecamatan Ciwandan Ferdian Bangkit Wijaya; Syahtriandi Wirantara; Kamilya Zakiyah; Rizki Ananda; Vasulia Nur Fitri; Weksi Budiaji; Agung Satrio Wicaksono; Aulia Ikhsan
Diakoneo : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 2 (2026): Juni
Publisher : Politeknik Negeri Kupang

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Abstract

Perundungan di lingkungan sekolah dasar sering kali dianggap sebagai kenakalan biasa, padahal dampaknya sangat merusak secara psikologis dan akademik. Kegiatan pengabdian masyarakat yang dilaksanakan oleh mahasiswa KKM Tematik Kelompok 34 Untirta ini bertujuan untuk mengedukasi siswa SDN Tegalratu mengenai bahaya perundungan serta meningkatkan empati antarsiswa guna mencegah tindakan agresif di sekolah. Metode pelaksanaan yang digunakan meliputi sosialisasi interaktif berbasis multimedia, peragaan instruksional melalui teknik sosio-drama yang diperankan langsung oleh mahasiswa, serta aksi deklarasi komitmen bersama. Teknik evaluasi yang digunakan meliputi observasi partisipatif dan penyebaran angket sederhana untuk mengukur tingkat penerimaan program serta kesadaran siswa. Hasil kegiatan menunjukkan partisipasi aktif dari 210 siswa dan mendapatkan skor kepuasan dari pihak sekolah sebesar 9.0 dari skala 10. Melalui peragaan peran, siswa mulai memahami batasan candaan yang menyakiti perasaan orang lain, khususnya terkait normalisasi ejekan verbal terhadap nama orang tua. Program ini berhasil menumbuhkan komitmen kolektif antara siswa dan guru untuk mewujudkan lingkungan sekolah yang aman, inklusif, dan ramah anak. Keberhasilan ini menunjukkan indikasi efektivitas dalam meningkatkan kesadaran siswa terkait pencegahan kekerasan di sekolah.
Forecasting Indonesia's Non-Oil and Gas Exports Using Facebook Prophet: A Seasonal and Trend Analysis Erfiani; Ferdian Bangkit Wijaya
Inferensi Vol 8 No 3 (2025)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v8i3.23337

Abstract

This study aims to analyze and predict the trend of Indonesia's non-oil and gas exports using the Facebook Prophet model, focusing on identifying seasonal patterns, trends, and volatility present in the export data. Monthly export data from 2015 to 2025, sourced from the Statistics Indonesia (BPS), were used as the basis for analysis. The dataset revealed notable seasonal patterns and substantial volatility, particularly in the period following 2020. To model these dynamics, three Prophet model configurations were tested: one considering only annual seasonality, combining both annual and monthly seasonality, and another incorporating only monthly seasonality. The evaluation of these models showed with an initial Mean Absolute Percentage Error (MAPE) of 8.70%. This model was then optimized through hyperparameter tuning. The optimal parameter configuration (changepoint_prior_scale = 0.5, seasonality_prior_scale = 0.01, fourier_order = 3) resulted in a significant improvement, reducing the MAPE to 4.73%. This optimized model demonstrated its capacity to more precisely capture the complex patterns. Furthermore, the study projected Indonesia’s non-oil and gas exports for the period from April 2025 to December 2026. The projections indicate a relatively stable export trend within the range of 20,000 to 22,000 million USD per month, with consistent seasonal patterns.
Modeling the Health Service Queuing System Using Petri Net and Max-Plus Algebra at Integrated Health Service Post (Posyandu) Syarif Abdullah; Himmatul Mursyidah; Ferdian Bangkit Wijaya; Miftahul Huda; Sri Istiyarti Uswatun Chasanah; Nadia Eka Nursafitri; Dinda Dwi Anugrah Pertiwi
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 1 April 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i1.35889

Abstract

This study models the health service queue system at the Integrated Health Service Post (Posyandu) in Cilegon City, Banten, using the Petri Net and Max-Plus Algebra approaches to analyze the flow of participant arrivals and completion times. The data used are observational data from Posyandu activities simulated through a discrete event model, which includes several types of participants, namely: babies not standing yet, babies standing, pregnant mothers, and family planning programs. Petri Net modeling is used to represent the relationship between service transitions, while Max-Plus Algebra is used to calculate the process cycle time based on the critical path. The results of the study showed that the categories of non-standing babies, standing babies, and pregnant women/participants in the family planning program had identical service time patterns, namely a total duration of 17 minutes 19 seconds, with the main stages including measurement, midwife intervention, and provision of additional food. Max-Plus analysis confirms that the measurement and midwife intervention stages are the critical path that determines the length of service time. This study concludes that the combination of Petri Net and Max-Plus Algebra is effective in describing the dynamics of Posyandu queues and is able to provide quantitative information needed to identify bottleneck points and the basis for improving the service flow.
Co-Authors Aditya Rahadian Fachrur Aditya Rahadian Fachrur Agung Satrio Wicaksono Agung Satrio Wicaksono Akhmad Arif Prasojo Arina, Faula Aulia Ikhsan Aulia Ikhsan Budiaji, Weksi Budiaji, Weksi Budiaji, Weksi Bukhari, Ahmad Chyntia Devi Octaviany Deananta Pramudia Putra Destari Rahman Dinda Dwi Anugrah Pertiwi Dinda Dwi Anugrah Pertiwi Erfiani Fajri Ikhsan Faula Arina Himmatul Mursyidah Ike Juliana Putri Pangaribuan Kamilya Zakiyah Mahsa Azzahra Mahuda, Isnaini Mariana Feronica Damanik Midia Rahma Miftahul Huda Muhammad Tabina Zachari Mulyati, Sri Mursyidah, Himmatul Nadia Eka Nursafitri Rahel, Gabe Nur Rizki Ananda Sholihin, Miftahus Sonda, Atia Sri Istiyarti Uswatun Chasanah Syahtriandi Wirantara Syarif Abdullah Utami, Sofi Cahya Vasulia Nur Fitri Weksi Budiaji Wirantara, Syahtriandi Wiwien Suzanti