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SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
Published by Lembaga Kajian Pembangunan Pertanian dan Lingkungan
ISSN : 30646103     EISSN : 30646103     DOI : https://doi.org/10.62671/suliwa.v1i1.12
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi adalah jurnal multidisiplin, peer-review, dan akses terbuka yang menyediakan platform untuk menghasilkan penelitian asli berkualitas tinggi, Ulasan, Surat, dan laporan kasus dalam ilmu alam, sosial, terapan, formal, seni, dan semua bidang terkait lainnya. Tujuan kami adalah untuk meningkatkan distribusi cepat ide dan hasil penelitian baru dan memungkinkan para peneliti untuk menciptakan pengetahuan, studi, dan inovasi baru yang akan membantu sebagai alat referensi untuk masa depan. Artikel yang dikirim ke SULIWA tidak boleh dipublikasikan di tempat lain. Naskah harus mengikuti pedoman penulis yang disediakan oleh SULIWA dan harus ditinjau dan diedit. SULIWA diterbitkan tiga kali dalam satu tahun, yaitu pada bulan Maret, Juli dan Nopember.
Arjuna Subject : Umum - Umum
Articles 38 Documents
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PENGEMBANGAN MEDIA PEMBELAJARAN PENDIDIKAN PANCASILA BERBASIS DIGITAL INTERAKTIF UNTUK PENGUATAN KARAKTER SISWA DI SMA NEGERI 1 CARIU BOGOR Sukmawati, Rika; Wicaksono, Dirgantara
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 2 No. 2 (2025): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Juli 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v2i2.96

Abstract

Penelitian ini bertujuan untuk mengembangkan media pembelajaran pendidikan Pancasila berbasis digital interaktif untuk penguatan karakter siswa di SMA Negeri 1 Cariu Bogor. Penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan ASSURE yang mencakup 6 tahap: 1, Analisis peserta didik, 2. Menetapkan tujuan pembelajaran, 3. Memilih strategi, media, dan materi, 4. Penggunaan bahan ajar, 5. Melibatkan peserta didik dalam pembelajaran, 6. evaluasi dan revisi. Hasil validasi ahli dan uji coba menunjukkan modul layak digunakan (rata-rata validasi >4,6), N-Gain = 0,485, kategori sedang. Modul ini juga mendapat respon positif dari siswa (rata-rata skor kuesioner 4,4).
STRATEGI PEMANFAATAN CHATBOT AI SEBAGAI TUTOR VIRTUAL UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KREATIF SISWA MENENGAH ATAS Hidayat, Deden Taufik; Suryadi, Ahmad
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 2 No. 2 (2025): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Juli 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v2i2.98

Abstract

This study aims to design and evaluate a project-based learning strategy integrating Chatbot AI (ChatGPT) as a virtual tutor to enhance the creative thinking skills of senior high school students. The research is motivated by the need for more contextual, interactive learning approaches that support 21st-century skill development through the integration of artificial intelligence technology. The development process adopted the Dick and Carey instructional design model, which includes needs analysis, instructional goal formulation, material and media development, expert validation, and field testing in real classrooms. The Project-Based Learning (PjBL) strategy emphasizes authentic problem-solving, collaborative group work, product development, in-depth investigation, and reflection, with ChatGPT serving as a virtual tutor to facilitate idea exploration, prompting, concept clarification, and reflective support. Validation by education, content, and media experts placed the strategy in the Highly Feasible category with an average score of 95%, assessing content quality, language clarity, practical implementation, and media relevance. Field testing on the Fluida Statis topic showed a significant learning improvement, with average pretest scores of 53.08 and posttest scores of 82.28, resulting in an N-Gain of 0.62 (Medium–High category). Product assessments by teachers using a creativity rubric yielded average scores above 85 across all groups (Highly Good category). Observations of student activities during implementation recorded an average score of 3.74 on a 1–4 scale, equivalent to 93.5%, also categorized as Highly Good, indicating active engagement, curiosity, strategic use of AI, collaboration, and reflective ability. The study concludes that this project-based learning strategy supported by Chatbot AI (ChatGPT) is theoretically valid, practically feasible, and empirically effective in enhancing the creative thinking skills of senior high school students. It supports the implementation of contextual problem-based learning, the integration of AI technology in education, and the development of 21st-century skills in alignment with national curriculum policies.
IMPLEMENTASI METODE ENTROPY DAN TOPSIS DALAM PEMILIHAN DOSEN PEMBIMBING SKRIPSI MAHASISWA TEKNIK INFORMATIKA UNIVERSITAS MALIKUSSALEH Sinambela, Ilmi Suciani; Uvaira , Padila; Putri, Ayunda
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 2 No. 3 (2025): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v2i3.88

Abstract

The selection of thesis supervisors is a crucial process in higher education but is often conducted manually and subjectively, leading to mismatches in expertise, unequal workload distribution, and inefficiencies. This study aims to develop a decision support system (DSS) to assign thesis supervisors objectively and fairly. The approach combines the Entropy and TOPSIS methods. The Entropy method is used to calculate objective weights for five criteria: academic rank, field of expertise, student preference, supervision quota, and student graduation speed. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is then applied to rank supervisor candidates based on their proximity to ideal solutions. The results demonstrate that the system effectively recommends the most suitable supervisor, with Lecturer G identified as the top choice. This system is expected to enhance the efficiency, transparency, and equity of the thesis supervisor assignment process within the Informatics Engineering Program at Malikussaleh University.
IMPLEMENTASI METODE WEIGHTED PRODUCT DAN PROFILE MATCHING DALAM SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SEPEDA MOTOR MATIC PADA DEALER LHOKSEUMAWE Ahmadi, Juhar Riski; Ramadhan, Syahrul
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 2 No. 3 (2025): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v2i3.108

Abstract

With the increasing diversity of transportation needs, selecting the most suitable automatic motorcycle (matic) has become a challenge for consumers due to the wide range of available options. This study aims to develop a Decision Support System (DSS) to assist consumers in choosing the best matic motorcycle using the Weighted Product (WP) and Profile Matching (PM) methods. Data were collected through interviews with local motorcycle dealers and official manufacturer websites. The decision-making process focuses on five key criteria: price, engine capacity, safety level, year of release, and the number of available color options. The WP method calculates the preference value of each alternative by multiplying the normalized values with their respective weights. Meanwhile, the PM method compares actual data with an ideal profile and evaluates the resulting gaps. The system was developed using PHP and tested through both manual calculations and application-based validation. Results show that both WP and PM methods consistently recommended the Vario 160 ABS as the top choice. However, the PM method also placed NMAX Neo in an equivalent top position. These findings demonstrate that combining WP and PM methods provides complementary insights. WP offers clearer ranking distinctions, while PM emphasizes alignment with ideal profiles.
SISTEM PENGAMBILAN KEPUTUSAN PENILAIAN WAITERS TERBAIK PADA MENSA VOLKSCAFE MENGGUNAKAN PERBANDINGAN METODE TOPSIS DAN ANP-TOPSIS Gustillah, Ragil Rachmad; Ardiansyah, Muhammad Dimas; Pratama, Juanda
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 2 No. 3 (2025): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v2i3.110

Abstract

This research develops a decision support system to evaluate the best waiters at Mensa Volkscafe by comparing the TOPSIS and ANP-TOPSIS methods. The TOPSIS method offers advantages in calculation simplicity and its ability to consider various criteria, both subjective and objective, with ease of incorporating important weights. Meanwhile, ANP is a multi-criteria decision analysis method developed from AHP, where each factor and sub-factor are compared, although the calculations become complex with numerous influential factors or sub-factors. The implemented web-based system automates the evaluation process, allowing users to interactively input criteria, alternative, and evaluation values. Five evaluation criteria used are responsibility (K1), punctuality (K2), teamwork (K3), high initiative (K4), and speed in work (K5), with different weights applied for each method. Data was collected through questionnaires from nine waiters at Mensa Volkscafe. The comparison results show differences in the final rankings of the best waiters between the two methods, with Rozatul Jannah ranked first using TOPSIS , and Laurent Simamora ranked first using ANP-TOPSIS. The system's advantages lie in the transparency of the calculation process and the ability to compare the results of both methods, enhancing confidence in the evaluation.
IMPLEMENTASI METODE FUZZY TSUKAMOTO DAN TOPSIS DALAM PENENTUAN STATUS GIZI ANAK BERDASARKAN INDEKS MASSA TUBUH (IMT) Ulia, Nura; Humairah, Siti
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 2 No. 3 (2025): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v2i3.111

Abstract

The nutritional status of children is a critical factor that affects physical and cognitive development. This study aims to develop a web-based Decision Support System (DSS) to determine children's nutritional status using the Body Mass Index (BMI) as the primary indicator. The system integrates the Fuzzy Tsukamoto method to handle linguistic variables related to BMI and the TOPSIS method to rank alternatives based on multiple criteria, including age, weight, height, arm circumference, and BMI. A quantitative descriptive approach was applied, and data were collected from health centers through direct measurements and secondary sources. The system calculates BMI, applies fuzzy rules to classify nutritional status, and uses TOPSIS to support decision ranking. Results show that the system effectively classifies children's nutritional status into three categories: undernutrition, good nutrition, and very good nutrition. The implementation demonstrates that the combined methods enhance the accuracy and objectivity of assessments, making it a valuable tool for health workers at community health posts and clinics. However, the system's reliance on BMI alone and the limited dataset present constraints. Future improvements should include additional health indicators and integration with real-time health data systems.
PENENTUAN PERMINTAAN OBAT BERDASARKAN FREKUENSI KONSUMSI DAN KARAKTERISTIK PASIEN DI POSKESDES BLANG POROH MENGGUNAKAN METODE MOORA DAN ARAS Nurfadillah, Nurfadillah; Humaira, Risa
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 2 No. 3 (2025): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v2i3.113

Abstract

Effective drug demand management is essential to ensure availability and continuity of healthcare services, especially at primary healthcare facilities such as POSKESDES. This study aims to design a drug demand decision system based on consumption frequency and patient characteristics using the Multiple Objective Optimization on the basis of Ratio Analysis (MOORA) and Additive Ratio Assessment (ARAS) methods. The system was developed as a decision support tool for healthcare workers to determine drug supply priorities. The research was conducted at POSKESDES Blang Poroh, with data including drug consumption history, patient age, gender, and disease types. The system development process used the waterfall model with PHP programming language and MySQL as the database. The test results show that the system can accurately generate drug demand priorities in accordance with real field conditions. This system is expected to support pharmaceutical logistics efficiency at the basic service level.
PENGEMBANGAN VIDEO TRAINING BERBASIS VISME UNTUK MENINGKATKAN KOMPETENSI DIGITAL MARKETING DI LEMBAGA KURSUS ASAHAN SUMATERA UTARA Hendrawan, Riki; Suryadi, Ahmad
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 2 No. 3 (2025): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v2i3.114

Abstract

The progress of a region is inextricably linked to the development of education within that region. The presence of digital marketing courses and training institutions contributes to regional development, and digital marketing is a key driver of business advancement. Digital marketing courses and training institutions continually strive to improve their learning to produce competent graduates. Participants' competency in digital marketing at the Ruang Kaji Akademi Course and Training Institute, located in Aek Ledong District, Asahan Regency, North Sumatra, was inadequate. Recognizing this issue, innovation in learning was deemed crucial. Therefore, researchers conducted a study on the development of a Visme-based video training program to enhance engaging digital marketing skills. This study employed the Research and Development method and the ADDIE development model, which has five steps: Analysis, Design, Development, Implementation, and Evaluation. The study also conducted an effectiveness test using the N-gein formula, resulting in an increase in the score of 0.76, categorized as highly effective, exceeding the standard effectiveness value of >0.56. These results indicate that the developed video training is effective for use in learning. 

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