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IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN DENGAN MENGGUNAKAN METODE FUZZY AHP DALAM MENENTUKAN KUALITAS TANAMAN KOPI DI DESA DELO Mariana Veni Beka; Trisno Trisno; Lidia Lali Momo
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 1 No. 1 (2024): Vol. 1 No. 1 Edisi Januari 2024
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v1i1.42

Abstract

Pendukung keputusan dengan menggunakan metode Fuzzy AHP dalam menentukan kualitas tanaman. Kualitas tanaman dipengaruhi oleh dua faktor yaitu faktor internal seperti gen, hormon, dan faktor ekternal nutrisi, cahaya matahari, tingkat kelembapan, suhu, dan tanah. Seperti yang terjadi pada Desa Delo Khususnya Tanaman Kopi. Berdasarkan hasil penelitian dengan menggunakan metode Fuzzy Analytical Hierarchy Process (AHP) dapat diambil kesimpulan, jenis tanah menjadi prioritas utama dengan bobot prioritas 0.934, kemudian tinggi dengan bobot prioritas 0.065, dan jenis pupuk dengan bobot prioritas 0. Dengan adanya Sitem Pendukung Keputusan ini berpengaruh postif terhadap Pemilihan tanaman kopi terbaik tidak lagi secara Subjektif melainkan penilaian secara Objektif karena berdasarkan kriteria yang sudah di tentukan dan Implementasi sistem pendukung keputusan telah berhasil dibagun untuk menciptakan suatu keputusan yang memungkinkan untuk menghasilkan keputusan yang lebih objektif, termanifestasikan dalam bentuk daftar peringkat alternatif penilaian kualitas tanaman kopi.
Prediksi Kelulusan Mahasiswa Tepat Waktu Menggunakan Metode Naïve Bayes Dan Decision Tree Pada Universitas Stella Maris Sumba Julianti Suwartini Inda Sari; Elfira Umar; Lidia Lali Momo
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.1677

Abstract

Timely graduation itself is one of the indicators of the success of students' academic performance. The study period regulations are already set in the provisions of the Minister of Education and Culture of Indonesia. To address this issue, there needs to be a technique to predict graduation. One of the techniques commonly used is data mining. In this study, the authors will compare two data mining methods, namely Naive Bayes Classifier and Decision Tree, to obtain the method with the best accuracy in predicting student graduation. The attributes used for Data Mining Classification consist of 10 attributes: Student ID, Gender, Student Status, Age, Semester 1 Grade Point Average, Semester 2 Grade Point Average, Semester 3 Grade Point Average, Semester 4 Grade Point Average, Cumulative Grade Point Average, and Result attribute. From the test results using RapidMiner tools with two methods that have been conducted, the Decision Tree (C4.5) obtained the accuracy result of 70.18%, and the Naïve Bayes method obtained the highest accuracy result of 71.24%.
PEMANFAATAN DIGITALISASI PEMASARAN DALAM MENINGKATKAN DAYA SAING KAIN TENUN SUMBA MELALUI WORKSHOP EDUKATIF Maria Wilda Malo; Paulino Lucky Puty; Katarina Yunita Riti; Roswita Sari Kaka; Noviana Martha Dimu; Lidia Lali Momo; Mirayana Rambu Wali; Yunita Pingge
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 6, No 2 (2026): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v6i2.2785

Abstract

Sumbanese woven fabric is a cultural heritage of high economic value, but MSMEs still face limitations in marketing that tend to be conventional, thus limiting market reach. This study aims to improve the understanding and skills of MSMEs in utilizing digital marketing to increase product competitiveness. The method used was a participatory approach through an educational workshop that combined lectures, discussions, practices, and mentoring involving 15 female MSMEs. The results showed a significant increase in the digital literacy of participants, where before the activity most did not understand digital marketing and had not used social media as a promotional tool, while after the activity 66.67% of participants successfully created a business Instagram account and began actively promoting woven fabric products. The conclusion of this study shows that the practice-based workshop approach accompanied by mentoring is effective in improving the digital capabilities of MSMEs, although the level of technology adoption is still at an early stage, so ongoing mentoring is needed to optimize the use of digital marketing in supporting the development of a creative economy based on local wisdom. ABSTRAKKain tenun Sumba merupakan warisan budaya bernilai ekonomi tinggi, namun pelaku UMKM masih menghadapi keterbatasan pemasaran yang cenderung konvensional sehingga jangkauan pasar menjadi terbatas. Penelitian ini bertujuan untuk meningkatkan pemahaman dan keterampilan pelaku UMKM dalam memanfaatkan digitalisasi pemasaran guna meningkatkan daya saing produk. Metode yang digunakan adalah pendekatan partisipatif melalui workshop edukatif yang mengombinasikan ceramah, diskusi, praktik, dan pendampingan dengan melibatkan 15 pelaku UMKM perempuan. Hasil penelitian menunjukkan adanya peningkatan signifikan dalam literasi digital peserta, di mana sebelum kegiatan sebagian besar belum memahami digital marketing dan belum menggunakan media sosial sebagai sarana promosi, sedangkan setelah kegiatan sebanyak 66,67% peserta berhasil membuat akun Instagram bisnis dan mulai aktif mempromosikan produk kain tenun. Kesimpulan penelitian ini menunjukkan bahwa pendekatan workshop berbasis praktik yang disertai pendampingan efektif dalam meningkatkan kemampuan digital pelaku UMKM, meskipun tingkat adopsi teknologi masih berada pada tahap awal sehingga diperlukan pendampingan berkelanjutan untuk mengoptimalkan pemanfaatan digital marketing dalam mendukung pengembangan ekonomi kreatif berbasis kearifan lokal.
Etnomatematika Motif Tenun Karaja Lamboya: Analisis Struktur Geometri dan Makna Filosofis dalam Tradisi Sumba Barat Mitra Permata Ayu; Lidia Lali Momo
MUST: Journal of Mathematics Education, Science and Technology Vol 11 No 1 (2026): JULI
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v11i1.31292

Abstract

Ethnomathematics is present and innovated through the culture of certain communities, one of which is reflected in the Karaja weaving. The Karaja weaving motif is one of the local cultural heritages that has a simple geometric pattern but is full of philosophical meaning. The purpose of the study is to integrate: 1) the geometric structure found in the Lamboya Karaja weaving motif; 2) the philosophical meaning contained in each Lamboya Karaja weaving motif according to the views of the customary rato. This study uses a qualitative method with a holistic ethnographic approach. Researchers are directly involved in the data collection process and act as the main instrument through the collection of participant observations, in-depth interviews and documentation. The analysis technique is simultaneous and through 4 stages, namely (1) Domain; (2) taxonomy; (3) componential and (4) cultural themes. The results of the study obtained 1) Karaja weaving has eight geometric structures, namely rhombus, isosceles triangle, rectangle, parallelogram, parallel lines, translation, reflection and folding symmetry; 2) The Karaja ikat woven motif has nine main motifs with philosophical meanings: reba, katari bula, lawata gege, ketupat, pu nabu, uma, kabedo nipe, mamoli, and nyale. This research contributes to providing a theoretical basis for ethnomathematics based on local wisdom that can be implemented as contextual geometry learning materials and media to improve students' mathematical and cultural literacy.