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PENDAMPINGAN SUSTAINABLE DEVELOPMENT GOALS (SDG’s) UNTUK LINGKUNGAN KELUARGA PESANTREN Akbari, Annisa Dewi; Surjasa, Dadang; Daihani, Dadan Umar; Sugiarto, Dedy
Jurnal Abdi Masyarakat Indonesia (JAMIN) Vol 4 No 2 (2022): JURNAL ABDI MASYARAKAT INDONESIA (JAMIN)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jamin.v4i2.14188

Abstract

Saat ini Sustainable Development Goals (SDG’s) telah disepakati untuk menjadi tujuan bersama di seluruh dunia. SDG’s ini dapat dicapai setelah seluruh bagian masyarakat dapat memahami dan mengimplementasikan langkah-langkah menuju SDG’s. Yayasan Bunga Melati Indonesia (YBMI) adalah yayasan yang bergerak di bidang sosial dengan beberapa mitra pesantren yang salah satunya adalah Pesantren Tahfidz Hummalul Qur’an di daerah Gunung Sindur, Kabupaten Bogor. Dalam pesantren tersebut banyak potensi berharga yang dapat meningkatkan kesejahteraan hidup baik untuk para santri, pengurus pesantren, dan masyarakat sekitarnya. Namun di tengah potensi ini, sayangnya para santri belum mempunyai bekal yang cukup khususnya dalam pengenalan konsep sustainable development goals, membuat usaha yang sustainable, pendidikan yang holistik, kesehatan, maupun dalam kaitannya menjaga lingkungan. Oleh karena itu kegiatan Pengabdian kKepada Masyarakat (PkM) ini memberikan penyuluhan mengenai konsep SDG’s terutama tentang pemanfaatan teknologi masa kini, pendidikan yang holistik, konsep sustainable business, pelatihan bank sampah, serta konsep triangle health. Penyuluhan SDG’s ini dilakukan dengan pemberian materi dan pelatihan yang disesuaikan dengan kebutuhan pesantren terkait SDG’s. Berdasarkan hasil evaluasi pelaksanaan PkM, para peserta sangat antusias terhadap materi yang diberikan, pemberian materi dan pelatihan sangat cocok dengan kondisi pesantren, para santri menjadi lebih memahami tentang SDG’s, dan akan mengimplementasikan langkah-langkah untuk dapat mencapai kesejahteraan bersama.
PENGEMBANGAN SITUS UMKM QUELITA CAKE MENGGUNAKAN METODE USER CENTER DESIGN Shofiati, Ratna; Shan, Putri; Saputra, Aji; Kresna, I Nyoman; Sari, Syandra; Sugiarto, Dedy; Ariwibowo, Anung Barlianto
Jurnal Abdi Masyarakat Indonesia (JAMIN) Vol 6 No 1 (2024): JURNAL ABDI MASYARAKAT INDONESIA (JAMIN)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jamin.v6i1.16746

Abstract

Many people have felt the utilization of information technology in developing applications for the economic sector. Examples of these business applications are Excel, marketplaces, and website creation. As marketing, many businesses, such as Instagram, TikTok, Facebook, and Twitter, are currently utilizing social media to promote their products. One of the marketing businesses is Quelita Cake. Quelita's line of business is the production of pastries and wet cakes. Quality Cake is a small company that utilizes Instagram social media and orders via WhatsApp. To optimize marketing activities to increase the number of consumers and increase company profits, a site development training was held for employees and owners of Quelita Cake. Site development is carried out by interviewing the owner of Quelita Cake, then making a mockup with Figma; the last stage is developing the site with PHP Laravel. Evaluation by distributing questionnaires was carried out to determine the level of visitor satisfaction with the site. The questionnaire results included that 91.4% of visitors stated that the menus on the site were easy and very easy to access, and 88.5% of visitors stated that they were motivated to buy Quelita Cake products
Risk Mitigation Strategy for Coal Transshipment Noufal Zhafira; Triwulandari Satitidjati Dewayana; Dedy Sugiarto
Jurnal Optimasi Sistem Industri Vol. 22 No. 1 (2023): Published in May 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.648 KB) | DOI: 10.25077/josi.v22.n1.p9-21.2023

Abstract

Coal transshipment necessitates efficient and prompt execution, devoid of any delays or work-related accidents. Numerous events during the transshipment process have the potential to disrupt operations and pose substantial risks. This research aims to examine the risks associated with coal transshipment by leveraging ISO 31000:2018 as the risk analysis framework. Additionally, it seeks to prioritize risk mitigation strategies employing the Techniques for Other Preferences by Similarity to Ideal Solutions (TOPSIS) methodology. Data collection for this study involved surveys and expert discussions to comprehensively analyze all risks by ISO 31000:2018 guidelines. The findings were then visualized through the use of a fishbone diagram, which facilitated the identification and understanding of the generated risks. The analysis revealed several threats that could impact the coal transshipment process. These major threats include natural disasters, equipment failures, shipping accidents, health risks for workers, fire hazards, operational delays, inefficient loading and unloading processes, and transportation accidents. The proposed mitigation strategies such as designing SOPs, developing emergency response plans, implementing safety measures, providing training, conducting risk assessments, and ensuring equipment maintenance, are academically supported and practical in their application. However, challenges such as financial constraints, resistance to change, and the dynamic nature of the process need to be overcome for effective implementation. Organizations can enhance safety and operational efficiency in coal transshipment by carefully managing resources, engaging stakeholders, and continuously evaluating and improving strategies. Overall, the proposed strategies offer a feasible and proactive means to mitigate threats and promote a safer and more efficient transshipment process.
Business intelligence system model to measure the performance of lecturers’ scientific publications Miwan Kurniawan Hidayat; Dedy Sugiarto; Rina Fitriana; Yun-Chia Liang
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 4: August 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i4.26221

Abstract

Scientific publication data is sourced from the SINTA website to measure the performance of journals, institutions, and researchers in Indonesia. Accessing and analyzing data for institutional needs is restricted, and lecturer development patterns based on lecturer characteristics remain untapped. The study aims to analyze and design business intelligence system models to measure the performance of scientific publications using dimensional models, clustering, on-line analytical processing (OLAP), and prototyping. Research methods are carried out through data and information needs analysis, data warehouse design, data mining and OLAP application, business intelligence system development, and system evaluation. The resulting dimensional models are the researcher index model, the researcher score model, the publication article model, and the research subject model. Measurements of data size and processing time show that the star schema has data of 336 KB and a processing time of 0.00554 seconds, is the best model compared to the snowflake’s schema, which has data of 368 KB and a processing time of 0.00611 seconds. Davies–Bouldin Index (DBI) measurements show the best clustering performance is the X-means algorithm with K as many as 5 clusters (Kmin=3, Kmax=5) and a DBI value of 0.537040.
Business intelligence for measuring global systems for mobile communication provider performance Yusri Eli Hotman Turnip; Dedy Sugiarto; Rina Fitriana; Yun-Chia Liang
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 2: April 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i2.26293

Abstract

Internet access is getting easier in various places, including Indonesia. Telecommunication media are no longer dominated by the use of pulse signals but have shifted to relying on internet access. This study aims to create a data visualization of internet speed in Bekasi urban sub-districts using the business intelligence (BI) model with online analytical processing (OLAP). Clustering was carried out using two methods, namely the K-means and K-medoids methods which were selected based on the Davies Bouldin index (DBI) value. This study produced a visual data prototype from the results of clustering from the data mining process and was accompanied by supporting data in the form of information on the highest and lowest speeds in the studied sub-districts. The clustering process uses K-means for uploading data with a DBI value of 0.847, while the data download uses K-medoids with a DBI value of 0.871. The prototype displays observation data, maximum and minimum value information, and the clustering result. The functional test result for the prototype showed conformity with the requirements, while the validation test showed that the prototype passed the validation test with a score of 0.8833.
Analysis of Indonesia's Automotive Component Export by Country of Destination Using Multivariate Analysis Dedy Sugiarto; Triwulandari S. Dewayana; Dorina Hetharia; Tiena Gustina Amran
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2015: Proceeding ISETH (International Conference on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.2341

Abstract

The aim of this paper was to present an overview of Indonesia's automotive component export by the country of destination. The data were taken from the Statistics Indonesia (Badan Pusat Statistik/BPS) of 2014, particularly the code of HS8708. Descriptive statistics, cluster analysis and principal component analysis were used in the analysis. The results showed that histogram of total export value indicated that the curve was skewed to the right which means there were some extreme values on the right. The largest export value, subsequently, came from Thailand, Japan, and Malaysia. Based on dendogram of the cluster analysis, there were five clusters of country of destination. Meanwhile the countries of destination include Thailand, Japan, Malaysia, Brazil, Mexico, and others. Biplot principal component analysis identified the diverse characteristics of export destination countries among clusters. Gear boxes, clutches, and chasis frames were mostly demanded by Thailand; most of road wheels and part of radiators were exported to Japan; numbers of fuel tanks were sent to Malaysia; drive axles were mostly exported to the cluster of China, United Kingdom, and Philippines; while high demand of radiator spare-parts were obtained from United States.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Rochman Abdul Rochman Ahmad Zuhdi Ainul Yaqin Ainul Yaqin Aji Saputra, Aji Annisa Dewi Akbari, Annisa Dewi Anung B Ariwibowo Anung B. Aribowo Ariwibowo, Anung B. Arviandri Naufal Zaki Ashari, Krisna Aditama Azhar Rizki Zulma Betha Ariandini Binti Solihah Chani Anugerah Cicilia Puji Rahayu Dadan Umar Daihani Dadang Surjasa, Dadang Dara Mustika Dimmas Mulya Dita Mayasai Dorina Hetharia Dorina Hetharia Dorina Hetharia Elfira Febriani Ema Utami Emelia Sari Faiz Kumara Fajar Anzari Farhan Hashfi Febriana Lestari Firdasari, Elita Wahyu Fitria Nabilah Putri Fitriana, Rina Gatot Budi Santoso Grace Listiani Gunawan, Muhamad Ichsan Gunawan, Muhammad Ichsan Habyba, Anik Nur Harahap, S.TP, M.Si, Elfira Febriani Ida Jubaedah Ida Jubaidah Idriwal Mayusda Ilham, Moch Ilham A Illah Sailah Indah Permata Sari Is Mardianto Is Mardianto Is Mardianto Is Mardianto, Is Iveline Anne Marie Iwan Purwanto Jeany Fadhilah Agatha Siahaan Jeany Fadhilah Agatha Siahaan Johnson Saragih Khoirun nisa Kresna, I Nyoman Krisna Aditama Ashari Lukmanul Hakim Lukmanul Hakim M Arya Octavianus M Syamsul Ma’arif Marimin , Martino Luis Miwan Kurniawan Hidayat Mohamad Dimas Budisantoso Muhamad Ichsan Gunawan Muhamad Ichsan Gunawan Muhamad Ichsan Gunawan Muhammad Hidayat Tullah Muhammad Rizky Fadila Afgan Nadia, Alya Shafa Nita Chairunnisa Noufal Zhafira Novenia Eka Warestika Nur Hadi Nurachman, Nurochman Nurlailah Badariah Octavianus, M Arya PUDJI ASTUTI Randy Andy Ratna Mira Yojana Ratna Shofiati Ratna Shofiati Reyhan Dwi Putra Reyhan Dwi Putra Rianti Dewi Sulamet-Ariobimo Ricky Saputera Ridho Rachmat Giffary Rina Fitriana Rina Fitriana, Rina S. Dewayana, Triwulandari Sari, Debby Kumala Sari, Syandra Setiawan, Ibnu Fajar Shabrina Teruri Shan ASP, Putri Shan, Putri Steven Sen Suharto Honggokusumo Sukardi Sukardi Syandra Sari Tamaulina Br Sembiring Tasya Aulia Teddy Siswanto Teddy Siswanto Teddy Siswanto Teddy Siswanto Teddy Siswanto, Teddy Tiara Aninditha Tiena Gustina Amran Tiena Gustina Amran Titik Susilowati Titik Yusrini Triwulandari S Dewayana Triwulandari S. Dewayana Triwulandari Satitidjati Dewayana Viera Astry Wahyu Hidayat Wahyu Hidayat wahyuni wahyuni Wawan Kurniawan Wilda Anggriani Winnie Septiani Winnie Septiani Winona, Aisyah Vasthi Yojana, Ratna Mira Yuli Kurnia Ningsih Yun-Chia Liang Yusri Eli Hotman Turnip