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All Journal Jurnal Rekayasa dan Manajemen Sistem Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Indonesian Journal of Artificial Intelligence and Data Mining Indonesian Journal of Industrial Engineering & Management Jurnal Abdi Masyarakat Indonesia Jurnal Riset danAplikasi Teknik Industri (JRATI)
Alvin Muhammad ‘Ainul Yaqin
Institut Teknologi Kalimantan, Balikpapan
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Public Health

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PERENCANAAN ALOKASI CRANE DENGAN METODE PROMETHEE PADA PROYEK SHUTDOWN PABRIK Yaqin, Alvin Muhammad ‘Ainul; Novareza, Oyong; Yuniarti, Rahmi
Jurnal Rekayasa dan Manajemen Sistem Industri Vol 4, No 5 (2016)
Publisher : Program Studi Teknik Industri Fakultas Teknik Universitas Brawijaya

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Abstract

Jika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email alvinainulyaqin@gmail.com, novareza15@ub.ac.id, rahmi_yuniarti@ub.ac.id Terima kasih
Kegiatan Kegiatan Pendampingan Belajar Anak Tunagrahita di Yayasan Aulia Rahmah Hasanah Arini Anestesia Purba; Anis Rohmana Malik; Muhammad Imron Zamzani; Novita Lizza Anggraini; Alvin Muhammad’ Ainul Yaqin
Jurnal Abdi Masyarakat Indonesia Vol 2 No 6 (2022): JAMSI - November 2022
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.496

Abstract

Tunagrahita merupakan anak-anak yang memiliki kemampuan intelektual dan kognitif yang berada di bawah rata-rata dibandingkan orang pada umumnya. Kondisi ini biasanya mulai terdeteksi ketika masih dalam usia dini. Anak-anak tunagrahita memiliki hambatan akademik khususnya dalam hal pemahaman yang lambat. Pengabdian masyarakat ini bertujuan untuk membantu anak-anak tuna grahita meningkatkan pemahaman terhadap pelajaran dasar. Metode yang dilakukan dalam mendukung pendidikan anak-anak tunagrahita adalah pendampingan belajar yaitu persiapan, pelaksanaan dan evaluasi. Pendampingan belajar dilakukan dengan pengajaran terhadap materi-materi dasar seperti menulis, membaca, menggambar, pengenalan terhadap tumbuhan dan hewan. Proses evaluasi dilakukan dengan memberikan pre test dan post test pada saat sebelum diberikan pendampingan belajar dan setelah diberikan pendampingan belajar. Hasil dari pendampingan belajar tunagrahita ini adalah peningkatan pemahaman pelajaran dari belum ada anak yang belum mengeri menjadi 8 dari 13 anak yang paham materi yang telah diajarkan. Pengabdian masyarakat ini diharapkan dapat meningkatkan pemahaman anak-anak tunagrahita dan membangun motivasi anak-anak tersebut untuk menatap masa depan dengan cerah.
A Hybrid Traditional and Machine Learning-Based Stacking-Based Ensemble Forecasting Approach for Coal Price Prediction Yaqin, Alvin Muhammad 'Ainul; Hamdi, Rafisal; Zamzani, Muhammad Imron; Hertadi, Christopher Davito Prabandewa; Nabiha, Hilwa Dwi Putri
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 2 (2024): September 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i2.30547

Abstract

Accurate coal price forecasts are crucial, as volatility in coal prices significantly impacts company performance and profitability. Traditional time series forecasting methods, such as exponential smoothing, are known for their simplicity and low data requirements. In contrast, machine learning techniques, such as random forest and neural network, offer higher accuracy in predictions. However, very few attempts have been made to combine the simplicity of traditional methods with the accuracy of machine learning techniques. This paper presents a novel stacking-based model that integrates both traditional statistical methods and machine learning techniques to enhance coal price predictions. Using Indonesian coal price data from January 2009 to October 2021, we trained the models on various combinations of predictors to generate new predictions. Our findings demonstrate that our stacking-based model outperforms other models, with RMSE and MAPE values of 6.44 and 5.97%, respectively. These results indicate that the model closely forecasts actual coal prices, capturing 94.03% of the price movements. The main contribution of this study is the application of stacking-based models to coal price forecasting in Indonesia, which has not been previously explored, thus enriching the literature on this topic.
Optimizing the Distribution and Allocation of COVID-19 Vaccines Using Mathematical Programming Approach: A Case Study in Indonesia Yaqin, Alvin Muhammad 'Ainul; Rosyid, Ghina Salsabila; Karim, Abdul Alimul; Sulaiman, Mochamad; Fadillah, Fitriah
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 1: February 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i1.28013

Abstract

Effective distribution of COVID-19 vaccines is crucial for pandemic control. This study utilized a multi-product mixed-integer nonlinear programming (MINLP) model to optimize the distribution of five vaccine types across (AstraZeneca, Sinopharm, Moderna, Pfizer, and Sinovac). The population, segmented into five age groups (12-18 years, 19-30 years, 31-45 years, 46-59 years and over 60 years), accesses vaccines through 59 healthcare facilities in one of the large cities in Indonesia. With a budget of IDR 150 billion, the model procured five vaccine a total of 574,748 vaccine doses, distributed as follows: 112,954 of type 1, 115,733 of type 2, 115,649 of type 3, 112,171 of type 4, and 118,241 of type 5 vaccines. The model successfully optimized the distribution, achieving a delivery-to-demand ratio of 0.049, which reflects the proportion of vaccine demand met under various scenarios, particularly in scenario 4, which represents actual conditions. Decision-makers can further enhance vaccine allocation by adjusting the total budget; for instance, an additional IDR 10 billion would enable the distribution of 123,474 more doses, increasing the delivery-to-demand ratio to 0.056. This ratio of 0.056 was obtained by adjusting the total budget allocated for vaccine distribution in scenario 5, based on the results from AMPL and Gurobi software. A significant contribution of this study is the development of a MINLP model that ensures equitable distribution tailored to age-specific pandemic requirements. Validation using real-world data enhances the existing literature on vaccine distribution strategies. This study provides valuable insights for policymakers and managers aiming to optimize resource allocation and distribution strategies for COVID-19 vaccination programs, thereby improving overall pandemic management efficiency.
Pemodelan Sistem untuk Produksi Roti Gepeng pada Roti Gepeng ZB (Zebra Brother) Balikpapan Menggunakan Metode Sistem Dinamis Hertadi, Christopher Davito Prabandewa; Saputro, Keysha Lovelly Adhara; Yaqin, Alvin Muhammad 'Ainul
JURNAL RISET DAN APLIKASI TEKNIK INDUSTRI Vol. 3 No. 03 (2025): Volume 03 Issue 03, Desember 2025
Publisher : Study Program of Industrial Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JRATI.2025.v03.i03.p03

Abstract

Bread is a practical source of carbohydrates and is popular among people of all ages, from children to adults. The flatbread factory, "ZB (Zebra Brother)," located in Balikpapan, has been operating since 2004, and its products are pretty well-known to the local community. However, this factory experiences obstacles such as the uncertainty of machine repair times, which impacts the company's ability to reschedule production, and the raw materials provided can exceed their storage period. If all subsystems of the bread production process are well understood, the process can run smoothly and meet market needs. This study aims to identify factors that influence the flat bread production system, analyze and model it to predict production performance over the next 5 years, and provide strategic recommendations to improve and increase the efficiency of the flat bread production system. Of the six scenarios, the five best scenarios were identified, namely adding machines and sales, and conducting regular promotions, which were able to maximize profits and sustainably meet market demand while facing the challenges of increasing raw material prices and growing competition.
A Preference-Oriented Multi-Criteria Decision Model for Stunting-Prevention Food Basket Ranking using AHP-TOPSIS Alvin Muhammad ‘Ainul Yaqin; Mifthahul Janna Rosyid; Vridayani Anggi Leksono; Amanda Dwi Wantira
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 26 No. 2 (2024): December 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.26.2.145-156

Abstract

It is necessary to give concentrated attention to the issue of stunting by implementing appropriate nutrition initiatives to prevent stunted physical and mental development. Optimal food availability is one effective strategy for preventing it. However, it often disregards preferences that guarantee pleasure, dietary diversity, and compatibility with individual tastes. In this paper, we show a two-step multi-criteria decision model. The AHP is used to figure out the criteria weights, and the TOPSIS method ranks food basket options based on how close they are to the ideal solution. The efficacy of our strategy was subsequently evaluated in Balikpapan, a prominent urban center in Indonesia grappling with the issue of stunting. The evaluation's findings were as follows: nutritional value (27%) was the most significant factor, knowledge of the food ingredients (18%), variety of foods made from the food ingredients (17%), ease of preparation, cooking, and storage (15%), cost (12%), and child preference (11%). The findings indicated that food basket 3, priced at Rp209,857 and yielding 1,854.96 kcal, consisted of rice weighing 3.63 kg, duck egg weighing 1.16 kg, milkfish weighing 0.65 kg, tuna weighing 0.06 kg, cauliflower weighing 0.17 kg, kale weighing 3.46 kg, and dragon fruit weighing 1.87 kg. In addition to nutrition and cost, this study highlights that considering preferences can enhance the appeal of food baskets.
Co-Authors Abdul Alimul Karim Amanda Dwi Wantira Anis Rohmana Malik Arini Anestesia Purba Fadillah, Fitriah Hamdi, Rafisal Hertadi, Christopher Davito Prabandewa Mifthahul Janna Rosyid Mochamad Sulaiman Muhammad Imron Zamzani Nabiha, Hilwa Dwi Putri Novita Lizza Anggraini Oyong Novareza Rahmi Yuniarti Rosyid, Ghina Salsabila Saputro, Keysha Lovelly Adhara Vridayani Anggi Leksono Zamzani, Muhammad Imron