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All Journal Jurnal Rekayasa Sistem Industri OPSI Jurnal Optimasi Sistem Industri Journal Industrial Servicess OPERATION EXCELLENCE: Journal of Applied Industrial Engineering JRSI (Jurnal Rekayasa Sistem dan Industri) EnviroScienteae Krea-TIF: Jurnal Teknik Informatika Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Abdimas Mahakam Abdimas Universal Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat Jurnal Media Teknik dan Sistem Industri Journal of Management - Small and Medium Enterprises (SME's) Journal of Industrial Engineering and Operation Management (JIEOM) Community Empowerment Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Sagu Jurnal AKAL: Abdimas dan Kearifan Lokal JURNAL ABDI MASYARAKAT INDONESIA (JAMIN) Journal of Engineering Science and Technology Management Jurnal Pengabdian Masyarakat
Habyba, Anik Nur
Universitas Trisakti
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Optimizing Demand Forecasting Method with Support Vector Regression for Improved Inventory Planning Tryantomo Lokhilmahful Palgunadi; Rina Fitriana; Anik Nur Habyba; Yun-Chia Liang
Jurnal Optimasi Sistem Industri Vol. 23 No. 2 (2024): Published in January 2025 (published late, please read our note)
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1057.205 KB) | DOI: 10.25077/josi.v23.n2.p149-166.2024

Abstract

Problems arising from suboptimal production planning can cause inventory management to be less effective and efficient in the company. The lack of integrated presentation of information also causes less efficiency in making decisions. This study aims to obtain the best kernel function forecasting model by predicting ground rod sales using the Support Vector Regression (SVR) method in order to determine the level of forecasting accuracy and the results of ground rod forecasting in the future which are presented in an optimal data visualization. This problem-solving is done with the Support Vector Regression method, which consists of linear kernel functions, polynomial kernel functions, and radial basis function (RBF) kernel functions with the Grid Search Algorithm. Based on the results of the best parameter search that has been done using the grid search algorithm, it can be concluded that the best kernel function forecasting model is a linear kernel function with a value of C = 100 and ε = 10-3. The accuracy of this forecasting model has a MAPE value of training data and testing data of 2.048% and 1.569%, where this value is the smallest MAPE value compared to the MAPE value of the other two functions. After getting the best model, forecasting was carried out within five months, obtaining an average of 6,647 monthly pieces. The results of forecasting and historical sales are reviewed in a visualization of Business Intelligence data so that it is well exposed, where the forecasting shows an increase from every month.
How To Transform a Lecturer's Research Interest into a Student-Centered Learning Class? An Elective Course “Kansei Engineering in Affective Design” Habyba, Anik Nur; Safitri, Dian Mardi; Rahmawati, Novia; Sari, Indah Permata; Utami, Ika Wahyu
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

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

Abstract

Research-based elective courses can be an alternative to Student-Centered Learning (SCL) classes. Project-based learning (PjBL) can be an attractive learning method. PjBL was developed through lecturers' research interests to balance the tri dharma of higher education. This study aims to give an example of creating an elective course in an SCL class. Kansei Engineering in Affective Design (KEiAD) class is a PjBL elective course successfully implemented in the Industrial Engineering Department of Universitas Trisakti by appointing the lecturer's research. Course learning outcome (CLO) was developed through five major stages of the KEiAD framework: identifying Kansei users, selecting design concepts, identifying key design elements, formulating design, and prototyping. The first lecture had good results. Eleven groups containing two to three students could formulate 11 affective products. All students also succeeded in achieving the expected outcomes of this course. Several students showed interest in using KEiAD as a final project topic. In the future, a quota for elective courses that is too large, such as 32 students, is considered too large because the assistance in class is not intensive enough. Smaller student quotas and R studio alternatives can be considered for continuous improvement.
Pendampingan Penggunaan Generative AI bagi Guru: Meningkatkan Kompetensi Riset Sederhana Berbasis Prompt Engineering dan Penegasan Prinsip Integritas Akademik Maulidya, Rahmi; Dewayana, Triwulandari Satitidjati; Habyba, Anik Nur
Jurnal Abdimas Mahakam Vol. 10 No. 01 (2026): Januari
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/jam.v10i01.3706

Abstract

Masa pendidikan peserta PPG harus membuat riset penelitian dan menuliskan hasilnya pada paper yang dipublikasi pada jurnal. Permasalahan yang dihadapi oleh peserta PPG adalah memulai sebuah riset penelitian dan kemudian menyusun paper hasil riset tersebut. Sebuah riset penelitian diawali dengan menentukan topik yang menarik, menentukan judul penelitian, menentukan pustaka yang relevan, menyusun latar belakang dan menyusun metode penelitian. Bantuan tools AI dalam banyak pilihan aplikasi yang menawarkan banyak kemudahan sekaligus bahaya terhadap ketergantungan. Penggunaan tools AI secara bijaksana memberikan bantuan yang besar sebagai teman diskusi dan sumber inspirasi bagi pengguna dalam melakukan riset penelitian. Sebuah riset sederhana dapat dibangun dengan memaksimalkan kemampuan AI salah satunya adalah blackbox AI, melalui penggunaan prompt AI yang dikembangkan untuk menghasilkan penelitian dan menuliskannya ke dalam sebuah karya ilmiah. Kegiatan pengabdian kepada masyarakat ini memiliki tujuan memberikan pendampingan penggunaan AI untuk riset sederhana guru peserta PPG, yang dapat meningkatkan kemampuan riset guru menggunakan bantuan AI. Peserta yang berjumlah 18 orang berasal dari peserta PPG kabupaten Ponorogo, Medan dan Jakarta, terlebih dahulu diberikan pelatihan penggunaan blackbox AI untuk menentukan judul penelitian yang menarik, membuat latar belakang, membuat literature review yang komprehensif dan menyusun metode penelitian dengan bantuan blackbox AI. Setelah pelatihan menggunakan blackbox AI, peserta diberikan post-test untuk mengukur pemahaman terhadap materi blackbox AI, pemahaman terhadap daftar konten yang dibahas, pemahaman maksimal jumlah kata yang disarankan dan tiga unsur wajib yang harus dimuat pada judul penelitian, dan pemahaman terhadap urutan format ideal latar belakang penelitian yang benar. Setelah diberikan waktu 2 minggu, kemudian metode pendampingan dilanjutkan dengan mengumpulkan draft paper untuk direview, diberikan masukan untuk memperbaiki kualitas penulisan paper. Total paper yang masuk dan direview adalah sejumlah 9 paper, dan terakhir akan dipilih satu paper yang memenuhi syarat untuk didanai dalam publikasinya pada jurnal nasional terakreditasi. Fasilitator kegiatan adalah tim Pengabdian kepada Masyarakat dari Universitas Trisakti. Program ini diharapkan dapat mendukung keberhasilan guru peserta PPG untuk melakukan riset sederhana, menggunakan tools AI secara bijaksana dan berkontribusi terhadap peningkatan budaya literasi dan publikasi ilmiah dalam mendukung kualitas pendidikan di Indonesia.
Pelatihan Pengembangan Strategi Bisnis Sekolah Sepak Bola: Football School Business Strategy Development Training Habyba, Anik Nur; Akbari, Annisa Dewi; Dewayana, Triwulandari Satitidjati; Maulidya, Rahmi; Suhardini, Didien; Surjasa, Dadang; Sari, Indah Permata
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 11 No. Suppl-1 (2026): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v11iSuppl-1.10477

Abstract

"KR" is a service-based business, a soccer school (SSB). This business was established to help students who enjoy soccer develop and train physically. A sports teacher and his colleagues founded the SSB. The current limited number of students has resulted in a lack of profit from one of the rented field locations over the past 2 years of operation. The SSB business remains unstable but is expected to grow. The purpose of this community service activity is to equip SSB managers with the knowledge and skills to formulate effective business strategies by developing an innovative, sustainable SSB business model. The results show that partners have successfully improved their understanding of the BMC concept, customer segments, and cost strategies. This Community Service Program is expected to serve as teaching materials, obtain IPR, and be published in a Sinta 4-accredited journal.
PHYSICOCHEMICAL AND SENSORY CHARACTERISTICS OF NONI–LEMONGRASS POWDERED DRINK AT DIFFERENT JUICE RATIOS Nabila, Khansa Tasya; Efendi, Raswen; Payla Juarsa, Rahmadini; Salman, Annisa Nazifa; Habyba, Anik Nur
SAGU Vol. 25 No. 1 (2026): SAGU Journal – Agri. Sci. Tech., Maret, 2026, Vol. 25 : No. 1
Publisher : Fakultas Pertanian Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jsg.v25i1.30

Abstract

Commercial noni powder generally has a bitter taste and an unpleasant aroma; therefore, lemongrass was added to improve its sensory characteristics. The purpose of this research was to obtain the best formulation for the physicochemical and sensory characteristics of noni juice and lemongrass juice powder drinks in accordance with SNI 01-4320-1996. The treatments consisted of MS1 (noni juice 85% and lemongrass juice 15%), MS2 (noni juice 75% and lemongrass juice 25%), MS3 (noni juice 65% and lemongrass juice 35%), and MS4 (noni juice 55% and lemongrass juice 45%). Data were statistically analyzed using analysis of variance (ANOVA), followed by Duncan’s Multiple Range Test (DMRT) at the 5% significance level. The result showed the juice ratio had a significant effect on yield, moisture content, ash content, total dissolved solids, dissolution time, antioxidant activity, and organoleptic. The optimum treatment in this research was MS3 (noni juice 65% and lemongrass juice 35%), which meets the quality requirements for powdered drinks as specified in SNI 01-4320-1996. The powdered drinks with the MS3 treatment had a yield of 43,26%, moisture content of 1,91%, ash content of 1,54%, total dissolved solids of 15,20°Brix, dissolution time of 25,92 seconds, and antioxidant activity of 67,48%. The product had slightly cloudy, a slightly noni aroma, a slightly lemongrass aroma, a slightly noni taste, a slightly lemongrass aroma, and a slightly lemongrass taste. The MS3 treatment has met the quality requirements for powdered drinks in accordance with SNI 01-4320-1996.
Co-Authors Adrian Sjamsul Qomar Agung Sasongko Ahmad Farhan Ahmad Farhan Ahmad Farhan, Ahmad Amal Witonohadi Ananda Kejora Rotty Annisa Dewi Akbari, Annisa Dewi Cahyanti, Annisa Clara Dwi Dadang Surjasa, Dadang Datu Mas Satriaji Daniswara Dedy Sugiarto Dewayana, Triwulandari Satitidjati Dian Mardi Safitri Didien Suhardini Dinda Rhamanda Docki Saraswati Dorina Hetharia Elisa Anggraeni, Elisa Emelia Sari Erliza Hambali Fanny Nurul Amalia Ferren Liling Sia Fitriana, Rina Graciela, Felice Hanifati, Azizah Nurul Idriwal Mayusda Ika Wahyu Utami Ilham, Ahmad Indah Permata Sari Indah Permata Sari Indah Permata Sari Iveline Anne Marie Iwan Purwanto Johnson Saragih Johnson Saragih, Johnson Johson Saragih Kemala Sari, Debbie Krismantan, Thalia Putri Lailatus Siami Liang, Yun-Chia Maharani, Annastasya Devita Mareta, Sannia Maulidya , Rahmi Meisy Kharisma Idris Mustaqim, Daffa Akiel Nabiha, Gina Almas Nabila, Khansa Tasya Nabila, Shadrina Putri Nadia Mufida Nadia Mufida Nora Azmi Novia Rahmawati Novia Rahmawati Parwadi Moengin PUDJI ASTUTI Rahmadini Payla Juarsa Ramadhani, Resty Ayu Rambung, Richard Antonius Raswen Efendi Resty Ayu Ramadhani Rhamanda, Dinda Richard Antonius Rambung Rina Fitriana Rina Fitriana, Rina Rully Mardjono Salman, Annisa Nazifa Sari, Emilia Satitidjati Dewayana, Triwulandari Suryana, Yunita Friscilia Tania Theodora Thalia Putri Krismantan Tiara Aninditha Tiena Gustina Amran Tiena Gustina Amran, Tiena Triwulandari Satitidjati Dewayana Triwulandari Satitidjati Dewayana Triwulandari, Triwulandari Tryantomo Lokhilmahful Palgunadi Wawan Kurniawan Wawan Kurniawan Yun-Chia Liang