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All Journal Journal Industrial Manufacturing Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Infinity
Agus Ruhimat
Universitas Muhammadiyah Tangerang
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mathematics

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CONTENT ON SPORTS PRODUCT INDUSTRY WEBSITES: DIGITAL MARKETING ANALYSIS Ayu Angelina Pasaribu; Agus Ruhimat; Agus Dedi Subagja; Ilham Kamaruddin; Reza Saeful Rachman
Jurnal Ilmiah MEA (Manajemen, Ekonomi, & Akuntansi) Vol 6 No 3 (2022): Edisi September - Desember 2022
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (186.957 KB) | DOI: 10.31955/mea.v6i3.2694

Abstract

The sports industry is an industry that has significant revenue potential. This can then be further optimized with proper marketing. Digital marketing through a website is a marketing step that has relatively good potential. This research will determine how digital marketing is carried out for sports products through websites. This research will be conducted using a qualitative approach. The data used in this study is secondary data derived from the results of previous research and studies. This study found that the website can function as a medium for spreading information related to sports products, especially products that have just come out. Then the help of SEO can increase the website’s optimization so that it will be on the first page of searches using Google so that, in the end, it will increase the amount of traffic on the website.
The use of augmented reality to improve students' geometry concept problem-solving skills through the STEAM approach Hepsi Nindiasari; Muhammad Farhan Pranata; Sukirwan Sukirwan; Sugiman Sugiman; Maman Fathurrohman; Agus Ruhimat; Yuyu Yuhana
Jurnal Infinity Vol 13 No 1 (2024): VOLUME 13, NUMBER 1, INFINITY
Publisher : IKIP Siliwangi and I-MES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/infinity.v13i1.p119-138

Abstract

This research develops learning media with a Science, Technology, Engineering, Art, Mathematics (STEAM) approach based on Augmented Reality (AR) to improve students' mathematical problem-solving abilities on geometric concepts. This method uses design-based research (DBR). The development stages consist of needs assessment and literature review, design and development, user testing to analyze user responses and evaluation and examination of the media devices being developed. The research subjects for expert tests included media experts and education experts, practicality tests for teachers, response tests for ten high school students, and examination stage tests for 30 high schools in Indonesia. The instruments used were media expert questionnaires, education expert questionnaires, practicality questionnaires, and tests. The media developed is called Augmented Reality Mathematics (ARM). The results of this research are 1) ARM media expert test in the very good category, 2) ARM educational media expert test in the very good category, 3) ARM media practicality test in the good category, 4) responses from students who use ARM media in the very good category, and 5) ARM media can improve mathematical problem-solving abilities in the moderate category. The findings of this research are that AR media is effectively used to improve students' problem-solving abilities in medium-category geometry concepts using the STEAM approach. This research concludes that using ARM media with STEAM learning can improve problem-solving abilities in geometric concepts.
Evaluasi Penerapan Metode Acceptance Sampling Berdasarkan Standar MIL-STD-105E dalam Pemeriksaan Kualitas Bahan Baku Whey Powder Edel Wahyu Yolanda Diaz; Dian Friana Hidayat; Agus Ruhimat; Diah Septiyana
Journal Industrial Manufacturing Vol. 11 No. 2 (2026): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/q7yyvc62

Abstract

Raw material quality inspection plays an important role in maintaining the consistency of product quality in the food manufacturing industry. This study evaluates the implementation of the existing acceptance sampling method used for whey powder inspection at an FMCG company and compares it with a proposed method based on the MIL-STD-105E standard. The research employed an observational approach using primary and secondary data, including incoming material records, lot sizes, sample sizes, and production reject data. The study was conducted in two stages: evaluation of the company's existing inspection method using inspection data from November 2025 and a pilot implementation of the proposed MIL-STD-105E sampling plan during May–June 2026. Data analysis included descriptive analysis, probability of acceptance (Pa), Operating Characteristic (OC) Curve evaluation, and Average Total Inspection (ATI). The results indicate that the existing sampling method has not optimally represented the actual quality of incoming raw materials, as evidenced by several production rejects despite accepted inspection lots. The proposed MIL-STD-105E sampling plan improved inspection effectiveness by determining more appropriate sample sizes and acceptance criteria. During the pilot implementation, observed production rejects decreased from 171 sacks to 5 sacks, demonstrating improved capability in identifying non-conforming lots before entering the production process. Therefore, the proposed acceptance sampling method can be considered a more effective approach for supporting raw material acceptance decisions while maintaining inspection efficiency. Keywords: Acceptance Sampling, MIL-STD-105E, Operating Characteristic Curve, Quality Control, Whey Powder
Co-Authors Ayu Angelina Pasaribu Dian Friana Hidayat Edel Wahyu Yolanda Diaz Hepsi Nindiasari Kamaruddin, Ilham Maman Fathurrohman Muhammad Farhan Pranata Rachman, Reza Saeful Septiyana, Diah Subagja, Agus Dedi Sugiman Sugiman Sukirwan Sukirwan Yuyu Yuhana