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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science Jurnal Informatika Ekonomi Bisnis U-NET Jurnal Teknik Informatika Bulletin of Information Technology (BIT) Scientific Student Journal for Information, Technology and Science J-COSCIS : Journal of Computer Science Community Service Jurnal Informatika Ekonomi Bisnis CSRID Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat INTERACTION: Jurnal Pendidikan Bahasa Jurnal Inovasi dan Teknologi Pembelajaran
Rahmad Aditiya
Universitas Al Washliyah Labuhanbatu
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Implementasi Metode SAW Dan MAUT Dalam Sistem Pendukung Keputusan Menentukan Verietas Nanas Terbaik Rahmad Aditiya; Angga Putra Juledi; Kusmanto; Andi Ernawari; Muhammad Bobbi Kurniawan Nasution
Bulletin of Information Technology (BIT) Vol 7 No 2 (2026)
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i2.2993

Abstract

This research aims to assist farmers and agribusiness practitioners in determining the best pineapple variety in a more objective and systematic manner. Ultimately, this will positively impact the productivity and quality of pineapple yields, providing greater economic benefits to farmers and agribusiness practitioners. To address this issue, a Decision Support System (DSS) was employed using the SAW and MAUT methods. The SAW method is a simple and easily implemented MCDM method. It works by assigning weights to each criterion and then calculating the total score for each alternative based on these weights. On the other hand, the MAUT method is a more comprehensive approach to multi-criteria decision-making. This method is based on utility theory, which considers the decision-maker's preferences regarding various attributes or criteria. By using the SAW and MAUT methods, we can determine the best pineapple variety selection based on the available data. From the previously collected data, this study uses 5 criteria: Size (30%), Taste (25%), Skin Color (20%), Water Content (15%), and Texture (10%). The implementation of the SAW and MAUT methods revealed that the best pineapple variety is A5 (MD2) with a score of 0.9125 using the SAW method and a score of 2.2062 using the MAUT method. The last-ranked alternative, A10, shared the same ranking.
PENINGKATAN KECAKAPAN DIGITAL MASYARAKAT MELALUI PELATIHAN KOMPUTER DAN INTERNET SEHAT DI PANGKATAN Samsir; Abdul Hakim Dalimunthe; Selamat Subagio; Rahmad Aditiya; Reagen Surbakti Saragih; Syafaruddin Munthe
Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Vol. 4 No. 2 (2026): Juni
Publisher : CV. Nature Creative Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58641/servis.v4i2.233

Abstract

Masyarakat di Desa Sennah, Kecamatan Pangkatan masih menghadapi keterbatasan dalam mengakses dan memanfaatkan teknologi digital secara optimal. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kecakapan digital warga melalui pelatihan komputer dasar dan penggunaan internet sehat. Metode yang digunakan meliputi ceramah interaktif, demonstrasi langsung, dan praktik terbimbing selama tiga hari pelatihan intensif. Peserta juga mendapat panduan cetak dan akses ke modul digital sebagai bahan belajar mandiri. Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman peserta terkait pengoperasian perangkat komputer, browsing internet aman, serta literasi digital seperti mengenali hoaks dan menjaga privasi daring dengan skor rata-rata awal 40,4 menjadi 80,6. Sebanyak 88% peserta menyatakan merasa lebih percaya diri menggunakan teknologi digital setelah mengikuti pelatihan. Kegiatan ini diharapkan menjadi landasan bagi program literasi digital berkelanjutan di tingkat desa kecamatan Pangkatan kabupaten Labuhanbatu.
Sistem Pendukung Keputusan Pemilihan Pengobatan Tradisional Kardivaskular Dengan Metode SAW Rahmad Aditiya; Samsir; Reagan Surbakti Saragih
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 2 (2026): Juni 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.2.2026.287-299

Abstract

Cardiovascular disease is one of the leading causes of death worldwide and requires appropriate treatment and therapy selection. In addition to conventional medical treatment, traditional herbal medicine is widely used as an alternative therapy. However, the large number of available herbal remedies often makes it difficult for people to determine the most appropriate option. This study aims to develop a web-based Decision Support System (DSS) to recommend traditional herbal treatments for cardiovascular diseases using the Simple Additive Weighting (SAW) method. The SAW method was implemented through the stages of alternative determination, criteria identification, criteria weighting, decision matrix construction, normalization, preference value calculation, and ranking. The system was developed using PHP and MySQL and evaluated through Black Box Testing. The results indicate that the system is capable of integrating disease data, symptom data, herbal treatment alternatives, and evaluation criteria to generate recommendations based on the highest preference values. Based on the SAW calculation, A1 (Garlic) achieved the highest preference value of 0.94, followed by A5 (0.91) and A7 (0.89), making it the most recommended traditional treatment according to the criteria of treatment effectiveness, cost, side effects, and herbal availability. The system testing results also showed that all major functions operated as expected. Therefore, the SAW method can be effectively applied as a simple, objective, and practical decision-making approach for recommending traditional treatments for cardiovascular diseases.
Evaluation of the moodle-based learning system applying the end user computing satisfaction method Wahyu Azhar Ritonga; bdul Hakim Dalimunthe; Rahmad Aditiya; Sangkot Idris Ritonga
Jurnal Inovasi dan Teknologi Pembelajaran Vol. 10 No. 1 (2023)
Publisher : Universitas Negeri Malang in collaboration with APSTPI and IPTPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v10i12023p106

Abstract

Abstrak: Pembelajaran elektronik dengan memanfaatkan perangkat teknologi seperti komputer, tablet maupun telefon pintar telah berkembang pesat pasca pandemic COVID-19 namun belum menghasilkan temuan yang konklusif. Maka, tujuan penelitian ini untuk menginvestigasi minat siswa terhadap sistem pembelajaran elektronik berbasis Moodle. Metode yang digunakan End User Computing Satisfaction (EUCS) dengan pengujian sistem pada Moodle dengan sampel penelitian 70 siswa. Moodle merupakan sistem pengelolaan pembelajaran elektronik dimana guru dapat menyusun mata pelajaran, membuat group kelas, memberikan materi (mengunggah materi), memberikan tugas baik berbentuk ujian, kuis, tes, mengumpulkan tugas, menilai tugas yang dapat digunakan secara sinkronus maupun asinkronus. Hasil uji EUCS menunjukkan bahwa setelah menggunakan pembelajaran elektronik minat siswa mengalami peningkatan sebesar 86,34%. Selain itu capaian hasil belajar siswa juga mengalami peningkatan signifikan. Penerapan e-learning berbasis Moodle meningkatkan minat siswa dalam belajar karena siswa dapat mengakses kapanpun dan dimanapun. Abstract: Electronic learning using is utilizing technological devices such as computers, tablets, and smartphones has developed rapidly after the COVID-19 pandemic but has not produced conclusive findings. Thus, the purpose of this learning is to investigate students' interest in Moodle-based electronic learning systems. The method used is End User Computing Satisfaction (EUCS) by testing the system on Moodle with a research sample of 70 students. Moodle is an electronic learning management system where teachers can arrange subjects, create class groups, provide material (upload material), give assignments in the form of exams, quizzes, and tests, collect evaluations, and assess assignments that can be used synchronously or asynchronously. EUCS test results show that after using electronic learning, students’ interest has increased by 86.34%. In addition, student achievement also experienced a significant increase. The application of Moodle-based e-learning increases students' interest in learning because students can access it anytime and anywhere.
Co-Authors Abdul Hakim Dalimunthe Andi Ernawari Angga Putra Juledi Asri Yulianda bdul Hakim Dalimunthe Betti Megawati Dalimunthe, Abdul Hakim Harahap, Anna Leli Kusmanto Kusmanto Kusmanto Maisaroh Ritonga Muhammad Bobbi Kurniawan Nasution Nursalimah Rahmi Syafriyeti Reagan Surbakti Saragih Reagen Surbakti Saragih Ritonga , Wahyu Azhar Ritonga, Faridah Ronal Watrianthos Ruwaidah Sagala, Ahmad Habin Samsir Samsir Samsir Samsir Samsir, Samsir Sangkot Idris Ritonga Santi Lestari Saragih, Reagan Surbakti Sarjon Defit Selamat Subagio Sitorus, Sahat Parulian Subagio, Selamat Syafaruddin Munthe Tatang Rohana Wahyu Azhar Ritonga