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All Journal Jurnal Teknologi Industri Pertanian J@TI (TEKNIK INDUSTRI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Industrial and Systems Engineering Assessment Journal (INASEA) Agrointek JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Prosiding Semnastek JIEMS (Journal of Industrial Engineering and Management Systems) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Pemberdayaan Masyarakat Universitas Al Azhar Indonesia JURNAL TEKNIK INDUSTRI SEMNASTERA (Seminar Nasional Teknologi dan Riset Terapan) Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri Proceeding Mercu Buana Conference on Industrial Engineering Metris: Jurnal Sains dan Teknologi Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Journal of Scientific Insights Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Exhibition and Seminar on Science and Creative Technology – Al Azhar Proceeding
Budi Aribowo
Universitas Al Azhar Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation Other

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Honey Price Classification using K-Nearest Neighbor Machine Learning Budi Aribowo; Aprilia Tri Purwandari; Tsabitah, Nimah; Reudinta Zesha; Dwi Astharini
Journal of Scientific Insights Vol. 2 No. 1 (2025): February
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i1.222

Abstract

The global honey market faces significant challenges due to price inconsistencies, which often do not correlate with the actual quality of the honey. This research aims to develop a honey price classification model based on quality using the K-Nearest Neighbor (K-NN) machine learning method. The contribution in this research is a machine learning model that can classify honey prices validated by measured variables of honey concentration. Data was collected on 14 types of honey, focusing on price per 100 ml, pcategorized into 'cheap' and 'expensive' classifications. Data processing includes statistical testing using T-Test to determine the significance of price differences, followed by applying the K-NN algorithm for classification. Model performance is evaluated using metrics such as accuracy, the Receiver Operating Characteristic (ROC) curve, a graph used to evaluate the performance of binary classification models, and the Area Under the Curve (AUC). The results show that the K-NN model achieves an optimal accuracy of 100% and an AUC of 1.00 when the K parameter is set to 3, indicating excellent classification ability. It is hoped that these findings will increase market transparency, set fairer price standards, and help consumers and producers in making decisions in purchasing honey.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI PENGUKURAN CAPAIAN PEMBELAJARAN LULUSAN PADA PROGRAM STUDI TEKNIK INDUSTRI UNIVERSITAS AL-AZHAR INDONESIA Amalia, Nadia Rizky; Purwandari, Aprilia Tri; Aribowo, Budi; Nurhasanah, Nunung
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6636

Abstract

Program Studi Teknik Industri Universitas Al-Azhar Indonesia dalam kegiatan akademiknya telah memanfaatkan sistem informasi.  Beberapa contoh sistem informasi yang ada yaitu student desk dan e-learning. Dari sistem-sistem informasi yang ada, belum adanya sistem informasi terkait capaian pembelajaran lulusan. Pada saat ini, program studi teknik industri Universitas Al-Azhar Indonesia dalam menghitung nilai capaian pembelajaran lulusan masih dilakukan dengan menggunakan Msexcel. Oleh karena itu perlu adanya sistem informasi yang dapat membantu dalam melakukan pengukuran capaian pembelajaran lulusan. Tujuan dari penelitian ini adalah untuk melakukan pengembangan sistem informasi yang dapat membantu Program Studi Teknik Industri Universitas Al-Azhar Indonesia dalam penilaian capaian pembelajaran lulusan. Pada perancangan sistem informasi ini akan menggunakan unified modelling language, untuk projek manajemen dengan critical path method dan project evaluation review technique, perhitungan biaya dengan capital expenditure, dan operational expenditure. Penelitian ini menghasilkan rancangan sistem informasi yang dapat membantu program studi dalam pengukuran capaian pembelajaran lulusan dengan mencakup aspek-aspek yang ada seperti dapat melakukan alokasi CPL dan CPMK dan melakukan pengukuran CPL serta sistem informasi yang mudah digunakan didapatkan waktu proyek dengan menggunakan CPM yaitu 85 hari dan didapatkan capital expenditure sebesar Rp35.187.290 dan operational expenditure Rp92.188.400,00.
Prediksi Peringkat Akreditasi BAN PT Program Studi Sarjana Rumpun Ilmu Komputer Menggunakan Klasifikasi Machine Learning Aribowo, Budi; Tjahjono, Budi; Firmansyah, Gerry; Widodo, Agung Mulyo
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 10, No 2 (2025): Mei 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v10i2.3089

Abstract

Accreditation ranking is one of the causes and indicators chosen by prospective students when choosing a study program in higher education. From the data collected, only 5% of study programs in the Computer Science group have a Superior accreditation rating and an A accreditation rating in LLDikti Region III Jakarta. So it is necessary to know the factors that influence the accreditation ranking. The machine learning methodology used in this approach is K-Nearest Neighbors (KNN) and from the data obtained there are 6 factors that can be strongly suspected to influence the study program accreditation value. The four machine learning models, namely KNN, Gaussian Naïve Bayes Decision Tree and Logistic Regression, it was found that the KNN machine learning model with 2 input variables had the highest AUC value, namely 84.38%. Meanwhile, from the model simulation run by KNN machine learning, 2 input variables can produce relatively accurate prediction results. And the results of cross validation with 10 folds support the selected machine learning with an accuracy level of 80%. In general, the KNN machine learning model with 2 input variables was able to predict the accreditation rating of Study Programs, especially from the Computer Science Cluster.Keywords – Accreditation, Area Under Curve (AUC), Department of School, Kfold Cross Validation, Machine Learning.
Design of Ready-to-Drink Coffee Product Packaging Using Kansei Engineering Method and Eye Tracking Purwandari, Aprilia Tri; Yasmin, Moza Aisyah; Aribowo, Budi
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 10, No 2 (2025): Mei 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v10i2.4124

Abstract

Packaging plays an important role in enhancing a product's competitiveness. Therefore, the aim of this research is to design attractive packaging for ready-to-drink coffee that will boost the company's competitiveness in selling such products, especially for Micro, Small, and Medium Enterprises (MSME), which face tough competition from both local and international companies. The objective of this research is to design ready-to-drink coffee packaging that caters to consumer preferences using Kansei Engineering and Eye Tracking. Based on the analysis using Kansei Engineering and Eye Tracking methods, two packaging recommendations for ready-to-drink coffee were obtained. If the company wants to focus on environmentally friendly packaging design, use bulb-shaped packaging made of glass, with a medium size of 300-350 ml, a monochrome label that provides detailed information and attached with pictures, based on the results of the Kansei Engineering analysis. On the other hand, if the focus is on aesthetics, the company should use bulb-shaped packaging made of plastic, with a medium size of 300-350 ml, a monochrome label that provides detailed information and attached with pictures, based on the results of the Eye-tracking analysis. Keywords - Conjoint Analysis, Eye Tracking, Kansei Engineering, Packaging, Ready-to-Drink Coffee.
Implementation and Evaluation of Purchase Module Using Odoo at The Directorate of Facilities and Infrastucture of Al-Azhar Indonesia University Khoirunisa, Amanda; Hidayat, Syarif; Arifin, Miftah; Aribowo, Budi
EXSACT-A Vol 2, No 1 (2024)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v2i1.2321

Abstract

Enterprise Resource Planning (ERP) is an integrated management information system that can provide specific information system requirements for each department in a company. However, its implementation requires high costs, so some companies switch to using Open ERP. Seeing this, Al-Azhar Indonesia University began to integrate its data by creating an ERP system called Application World Wide (AWW) at the Directorate of Facilities and Infrastructure. However, based on the results of interviews with the staff, it was stated that, in the management process, all Purchase Order (PO) data recorded in the system could not be downloaded, so the staff recorded data manually. To overcome this, it is necessary to develop an ERP system to support the procurement process, so that the process of recording and storing documents can be well integrated. In this study, the authors used the ERP system implementation, namely Rapid Application Development (RAD) and used the Odoo software version 16.0. A User Acceptance Test (UAT) is also carried out to find out whether the system meets the user's needs or not. After implementing Odoo at the Directorate of Facilities and Infrastructure at Al-Azhar University Indonesia, it can be concluded that all procurement activities can be recorded in a complete, correct, up-to-date, and valid/legal manner due to the implementation of the Odoo ERP system which is integrated and adapted to user needs, such as customize 4 of 12 features in the purchase module. Then with the purchase report module it can simplify the process of recording, and reporting PO data. Based on the UAT results, it can be seen that the whole question have an average score of 4.22 so it can be said that the user understands how to operate the Odoo ERP system and the features in Odoo can meet user needs.Keywords – Enterprise Resource Planning (ERP), Odoo, Rapid Application Development (RAD), User Acceptance Test (UAT) 
Analysis of The Effectiveness of Casting Machine Using OEE Method and 5 Whys Analysis Rydhoni, Rydhoni; Aribowo, Budi; Nurhasanah, Nunung
EXSACT-A Vol 2, No 1 (2024)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v2i1.2340

Abstract

Casting machine is a production tool with the function of molding liquid aluminum into velq products used at PT XYZ. In carrying out the production process, casting machines often experience failures that affect the high machine downtime and also the ineffective use of machines to run the production process. The purpose of this research is to implement Total Productive Maintenance by analyzing the use of machines with the OEE method to determine the value of their effectiveness and conducting breakdown analysis using the 5 why's analysis method to find the root of the problem that affects the calculation of the OEE value of the machine so that a solution can be formulated to overcome these problems. Based on OEE calculations on the casting machine for the January-June 2022 period, the performance rate measurements in January and May were 89. 19% and 83.28% which were below the Nakajima standard. The results of the May performance rate calculation have an impact on the OEE value which does not reach the standard of 82.17%. By using 5 Why's analysis, the cause of the low performance rate value in both months is the operator who makes changes to the machine settings so that the actual cycle time of machine operation is higher than before and causes reduced speed losses.Keywords - Casting machine, OEE, performance rate, 5 why’s analysis, reduce speed losses
Decision Model of Interest in Buying East Asian Food Products based on Halal Awareness and Religiosity Values using the Classification Machine Learning Algorithm Method Fairuz, Salsa; Aribowo, Budi
EXSACT-A Vol 2, No 1 (2024)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v2i1.2341

Abstract

Indonesia has not yet developed a strong halal food industry despite its potential and remains more of a target market. With rapid digital transformation, cultural influences, and social media trends, halal awareness among Indonesians needs to be strengthened. This study aims to explore the most influential factors on buying interest in East Asian food products based on halal awareness and religiosity values, to model purchase decisions, and stimulate the model. A descriptive quantitative method was used with 302 Muslim respondents aged 15-60+ in Jabodetabek who are active social media users. Data were analyzed using five machine learning classification algorithms: Naïve Bayes, Decision Tree, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Logistic Regression. Validity and reliability test were conducted to ensure the quality of the instruments. Results show that the key factors influencing buying interest are halal certification, certification institutions, and brand image. Among the models tested, the K-Nearest Neighbors algorithm delivered the performance with 97% accuracy and an AUC of 0,91. This model effectively classifies consumer interest in East Asian food products. The findings highlight the importance of halal assurance and brand trust in shaping consumen behavior in Indonesia’s growing halal market.Keywords– East Asian food products, Halal awareness, Machine learning classification, Purchase intention, Religious values
Penerapan Adjustable Table untuk Mengurangi Risiko MSDs pada Proses Produksi di Workshop PT. ABC Putri, Hani Adinda; Raharjo, Fabian Trama; Hafidz, Fahmi; Aribowo, Budi
Prosiding Semnastek PROSIDING SEMNASTEK 2025
Publisher : Universitas Muhammadiyah Jakarta

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

Abstract

Proses produksi yang efisien dan aman merupakan salah satu kunci keberhasilan dalam industri manufaktur. Selain itu, kondisi kerja yang berbahaya juga dapat meningkatkan risiko cedera pada pekerja, yang pada akhirnya dapat memengaruhi kinerja perusahaan secara keseluruhan. Postur kerja yang tidak ergonomis dapat meningkatkan risiko Musculoskeletal Disorders (MSDs) dan menurunkan efisiensi kerja. Di Workshop PT. ABC, khususnya pada proses assembly dan finishing, pekerja sering bekerja dalam posisi jongkok dan menunduk dalam waktu lama akibat ketiadaan meja kerja yang sesuai, yang berpotensi menyebabkan kelelahan serta cedera. Penelitian ini bertujuan untuk mengevaluasi risiko postur kerja pada proses tersebut, memberikan rekomendasi perbaikan, serta menilai kelayakan implementasi perbaikan dari segi ekonomi. Metode yang digunakan meliputi Rapid Entire Body Assessment (REBA) untuk mengukur tingkat risiko postur kerja, Fault Tree Analysis (FTA) untuk mengidentifikasi penyebab utama permasalahan, dan Cost-Benefit Analysis (CBA) untuk menilai kelayakan investasi perbaikan. Hasil analisis menunjukkan bahwa pekerja berada dalam kategori High-Risk, sehingga diperlukan perbaikan segera. Solusi yang diusulkan adalah penggunaan Adjustable Table, yang memungkinkan pekerja menyesuaikan ketinggian meja agar postur kerja lebih ergonomis. Analisis cost-benefit menunjukkan rasio Cost-Benefit sebesar 1.90, yang menandakan bahwa investasi dalam Adjustable Table lebih menguntungkan dibandingkan dengan potensi biaya risiko akibat cedera kerja. Dengan demikian, penerapan Adjustable Table dapat mengurangi risiko MSDs, meningkatkan kenyamanan pekerja, serta memberikan manfaat ekonomi bagi perusahaan. Oleh karena itu, solusi ergonomis ini direkomendasikan untuk meningkatkan efisiensi dan keselamatan kerja di PT. ABC
Inventory Planning in The Supply Chain Network of Sunflower Agro-Industry Nurhasanah, Nunung Nurhasanah; Putri, Hani Adinda; Noviyanti, Anissa; Riyana, Tharra Azzahra; Aribowo, Budi; Haryadi, Dody; Sudarwati, Wiwik
JURNAL TEKNIK INDUSTRI Vol. 15 No. 2 (2025): July 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i2.21842

Abstract

Sunflower agro-industry can potentially be a raw material for vegetable oil from seeds. In Indonesia, sunflower is a vegetable oil that is produced very limitedly. However, inventory planning is needed in the sunflower agro-industry's supply chain system to maximize this potential. At the same time, the sunflower agro-industry does not yet have a formal production and inventory planning system. Production activities are carried out based on the owner's intuition or orders received by the marketing department. The sunflower agro-industry supply chains consist of upstream, midstream, and downstream, but this research focused on the upstream and midstream segments. The upstream supply chain consists of sunflower seeds. Meanwhile, the midstream supply chain consists of sunflower cooking oil with 250 ml, 500 ml, and 1 liter packaging. This research aims to design the inventory planning by determining the economic order quantity using the single order quantity (SOQ) method, safety stock, number of orders, and reorder points. The results obtained in this study are the economic order, number of safety stock, number of orders, reorder points, and reorder points graph for sunflower agro-industry supply chains in 6 months. The upstream stage exhibits higher inventory requirements compared to the midstream. This may be caused by the need to buffer against higher variability in raw material availability. While the midstream inventory planning focuses on maintaining minimal safety stock due to predictable demand.
Analisis Waste Pada UMKM Konveksi Maxsupply Menggunakan Pendekatan Lean Manufacturing Rakhmaputri, Septalia; Aribowo, Budi; Nurhasanah, Nunung; Purwandari, Aprilia Tri
Metris: Jurnal Sains dan Teknologi Vol. 24 No. 01 (2023): Juni
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v24i01.4251

Abstract

According to the theory of the Toyota Production System (TPS), there are seven types of waste that exist during the production process: Overproduction, defective products, storage, transportation, waiting, unnecessary movement, and overprocessing. To maximize profits, Maxsupply Convection uses the made-to-order production method and works to produce products according to customer requests. To meet the expectations of its customers, Maxsupply must consider productivity levels, product quality, and on-time delivery. In addition, a process can be considered efficient and effective if it does not produce waste. Meanwhile, the company's production process is inseparable from waste. The Borda method identified waste in companies and found waste in waiting and unnecessary movements. After that, a causal diagram is used to see what factors can cause waste in the production process. Man, machine, method, material, and environment cause the waiting category. Man, method, and environment cause the unnecessary movement category. Using AHP found that the highest priority cause of waste in the waiting process was due to the machine factor with a value of 10% and in the unnecessary movement category of 20% caused by environmental factors. Control recommendations given using FMEA get an RPN value of 49 with control recommendations, namely carrying out routine maintenance for machines, and an RPN value of 79 in the unnecessary movement category by implementing 5R in the production area. The proposed improvements in this study are a Standard Operating Procedure (SOP) devoted to machine routine scheduling and the implementation of 5R by all employees in the production area.
Co-Authors Adhipramana, Ivan Adlina, Ginang Natilla Afranissa Firdausiyah Ahmad Juang Pratama Ahmad Raafi Alfathsyah, Arrasyid Alhafizh Ramadhan Alif Fadillah Aliza Sabrina Ramadita Amalia, Nadia Rizky Aprilia Tri Purwandari Aprilia Tri Purwandari Aprilia, Aisyah Sabrina Assidqi, Nurul Imam Ayu Lestari Ningtiyas Belia Perwitasari Maharani Belia Perwitasari Maharani, Belia Perwitasari Bianda Mayfiani Tiartanaya Budi Tjahjono Chirzun, Ahmad Cut Shity Dautama Ryzza Putra Dede Ardi Rajab Denny Hermawan Dhia Puti Andini Wibowo Dicky Sumantri Dody Haryadi Dwi Astharini Fairuz, Salsa Frans Dory Gandana, Danny M Gerry Firmansyah Ghunyatullaami’ah Ghunyatullaami’ah Hafidz, Fahmi Hamid, Sofian Hanny Nurlatifah Hartanto, Nadiya Hasna Fakhirah Haryadi, Dody Hidayat Yorianta Sasaerila Hilda Yuliani Ilmi Ramanda Sitorus Ilsa Nuri Pabo Imam Wahyudi Indrawan, Imam Wahyudi Khoirunisa, Amanda Kian Aryadi Kushandayati Kushandayati Miftah Arifin Moza Aisyah Yasmin Mudrikah, Isna Ibnah Muh Asrul Irawan, Andi Muhammad Farhad Shoulthon Indrawan Muhammad Hafidh Al Fathoni Mujadin, Anwar Muthohar, Akhmad Nabila Ramadhany Barley Nadya Rinaldy Narandana, Rifqi Fauzan Natasari - Naufal, Muhammad Bintang Nita Noriko Noviyanti, Anissa Nunung Nurhasanah Nurhasanah, Nunung Nurhasanah Purwandari, Aprilia Tri Putri Yasmin Martsela Putri, Hani Adinda Raghdawulan Raghdawulan Raharjo, Fabian Trama Rakhmaputri, Septalia Reudinta Zesha Ridho Octavia Pernando Riyana, Tharra Azzahra Rizqi Maulida Amalia Rully Ardi Setyadi Rydhoni, Rydhoni Safira Tri Handayani Samijayani, Octarina Sarah Giovani Sopian Maulana Sukarman Sukarman Suryo Tondo Lukito Syafira Ihsani Syarif Hidayat Syarif Hidayat Syarif Hidayat Tharra Azzahra Riyana Tri Purwandari, Aprilia Tsabitah, Nimah Wajdi, Muhammad Raihan Wibowo, Dhia Puti Andini Widodo, Agung Mulyo Widya Astuti Wiwik Sudarwati Yadi Heryadi Yasmin, Moza Aisyah Yusuf, Andi Mukramin