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All Journal JITEK (Jurnal Ilmiah Teknosains) Jurnal TAM (Technology Acceptance Model) Jusikom : Jurnal Sistem Komputer Musirawas JMM (Jurnal Masyarakat Mandiri) JUTIM (Jurnal Teknik Informatika Musirawas) Martabe : Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Informatika Global Jurnal Informatika dan Rekayasa Elektronik Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Ngabdimas : Pengabdian Pada Masyarakat Knowbase : International Journal of Knowledge in Database Jurnal Pengabdian Kepada Masyarakat Ngabdimas Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal TAM (Technology Acceptance Model)
Dedi Setiadi
Institut Teknologi Pagar Alam, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Social Sciences Veterinary Other

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SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI HOMESTAY DI KOTA PAGAR ALAM DENGAN METODE TOPSIS Masdalipa, Risnaini; Setiadi, Dedi; Syahri, Riduan
(JITEK)Jurnal Ilmiah Teknosains Vol 9, No 2/Nov (2023): JiTek
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jitek.v9i2/Nov.17247

Abstract

Technological developments can be used appropriately and properly will provide benefits and facilitate human work. The decision support system is an information system that can be used to assist in decision making, in this case, namely providing homestay recommendations to tourists who will visit the city of Pagar Alam which is a tourist destination in South Sumatra. Tourists who will stay at homestays must come directly to several homestays to ask about the rental price and facilities provided by the homestay manager. Sometimes people who are looking for a homestay don't immediately match the homestay they are visiting, so they have to find another homestay that is suitable and in accordance with the available budget so that this situation is not optimal, because the process for people to find a suitable homestay can take a long time. The method used is Technique for Order of Preference by Similiarty to Ideal Solution, which is a method for solving Multi Attribute Decision Making problems. The system development uses the Rapid Application Development (RAD) method, which is a process model used in incremental software development, especially for short processing times, which consists of three stages, namely requirements planning, design workshop, implementation. From the calculation results of the TOPSIS method with four criteria determined for several alternatives, according to the selection of criteria by the user, as well as the results of ranking alternatives with the highest preference value, namely 0.5962, and kia homestay as a recommendation according to what is expected by the user.
Analysis of Drug Inventory Patterns Using the K-Means Algorithm Setiadi, Dedi; Gusmaliza, Debi
Knowbase : International Journal of Knowledge in Database Vol. 5 No. 2 (2025): December 2025
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/knowbase.v5i2.10420

Abstract

Efficient drug inventory management is a critical challenge for the Sandar Angin Community Health Center to ensure the availability of drugs needed by customers without incurring excessive storage costs. Data mining with the K-Means algorithm was used to determine drug inventory more effectively. Drug data for the past year was used as a sample in this study. The Elbow method was used to determine the optimal number of clusters, and the results showed that three clusters were most appropriate for grouping drug sales data. The first cluster consisted of drugs with high and consistent sales, the second cluster included drugs with moderate and fluctuating sales, while the third cluster contained drugs with low and inconsistent sales. The results of this clustering provide clear guidance in drug inventory management. Drugs in the first cluster require larger stocks, the second cluster requires moderate stocks and promotional strategies tailored to the season, while the third cluster requires minimal stocks and regular evaluations to determine the continuation of its supply. The implementation of the K-Means method has proven effective in reducing storage costs, increasing customer satisfaction, and optimizing inventory management. This study concluded that data mining using the K-Means algorithm can help the Sandar Angin Community Health Center make better decisions regarding drug inventory. The results showed that out of a total of 506 drug data sets, 496 fell into cluster 0, or 98% of the data. One drug data set fell into cluster 1, and nine drug data set fell into cluster 2.
SOSIALISASI PENGOLAHAN LIMBAH KULIT KOPI MENJADI TEH CASCARA UNTUK MENINGKATKAN PENDAPATAN MASYARAKAT Dedi Setiadi; Syerina Raihatul Jannah; Willy Wijayanti
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 5 (2024): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i5.26598

Abstract

Abstrak: Masyarakat desa Talang Pagar Agung menggantungkan penghasilan dari menjual biji kopi, ketika musim kopi datang. Selama ini limbah kulit kopi hanya dibiarkan menumpuk di pekarangan rumah penduduk tanpa pengelolaan yang baik sehingga mencemari lingkungan, Kegiatan pengabdian ini bertujuan untuk memberikan pengetahuan dan kemampuan baru bagaimana cara mengolah limbah kulit kopi menjadi produk yang memiliki nilai jual yaitu teh cascara, sehingga bisa meningkatkan penghasilan petani. Peserta kegiatan ini yaitu masyarakat yang tergabung dalam kelompok tani Maju Jaya Sejahtera di desa Talang Pagar Agung. Metode yang digunakan pada kegiatan ini, dengan tahapan-tahapannya yaitu Analisis kebutuham, Perancangan, Sosialisasi dan Pendampingan serta Evaluasi dengan indikatornya yaitu masyarakat mengetahui dan dapat mengolah limbah kulit kopi menjadi teh cascara dengan baik. Secara keseluruhan, evaluasi menunjukkan bahwa program sosialisasi dan pendampingan ini berhasil mencapai tujuannya, terlihat dari peningkatan yang baik dari nilai pretest 9,09% sebelum sosialisasi dan setelah sosialisasi dengan nilai posttest 100%, dimana semua peserta menjadi kenal dengan teh cascara. Abstract: The people of Talang Pagar Agung village depend on income from selling coffee beans, when the coffee season comes. So far, coffee skin waste has only been left to pile up in people's yards without proper management, thus polluting the environment. This community service activity aims to provide new knowledge and skills on how to process coffee skin waste into products that have a selling value, namely cascara tea, so that it can increase farmers' income. Participants in this activity are people who are members of the Maju Jaya Sejahtera farmer group in Talang Pagar Agung village. The method used in this activity, with its stages, namely Needs Analysis, Design, Socialization and Mentoring and Evaluation with indicators that the community knows and can process coffee skin waste into cascara tea properly. Overall, the evaluation shows that this socialization and mentoring program has succeeded in achieving its goals, as seen from the good increase from the pretest value of 9.09% before socialization and after socialization with a posttest value of 100%, where all participants became familiar with cascara tea.
Electronic Tourism Using Decision Support Systems to Optimize the Trips Dedi Setiadi; Yogi Isro Mukti
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 1 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i1.3331

Abstract

Pagar Alam is a tourist destination city in the province of South Sumatra, which has many very diverse tourist destinations. The problem is that there is still a lack of information about tourism that tourists can access. This research aimed to build electronic tourism to make it easier for tourists to get the best information and recommendations about tourism in the city of Pagar Alam, which can be accessed anytime and anywhere, as well as improve tourist experience in planning their tourist trips because this electronic tourism platform includes decision making support system, which helps tourists manage their tours according to their needs and abilities. The research method used was analysis by collecting data by observing tourist attractions, calculating predictions using the simple additive weighting method, and from the results of testing with several alternatives, it can be concluded that electronic tourism meets the criteria chosen by tourists after being carried out. The calculation produced the highest preference value for tourist attractions, namely Tugu Rimau, with a value of 13.25. The highest preference value for hotels is Villa Gunung Gare Pagar Alam, with a score of 8.91, and the highest preference score for eating places is Warung Ridwan, with a score of 13.25. The next stage was system design using data flow diagrams, and the final stage was implementation by building electronic tourism using the CodeIgniter framework.
Co-Authors Abdi NAsrullah Asep Syaputra Dedy Syamsuar Dhiniati, Fameira Edowinsyah Efan Febriansyah . Gusmaliza, Debi Lesi Anggraini Lily Endah Diansari Masagus Taswin Masdalipa, Risnaini Melza Yolanda Rosmawati, Henni Sasmita Sasmita Sasmita Sasmita Syahri, Riduan Syerina Raihatul Jannah Tri Susanti Tri Susanti Tri Susanti Willy Wijayanti Yogi Isro Mukti Yogi Isro Mukti, Yogi Isro