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Penerapan Metode Vikor dalam Pemilihan Bibit Unggul Pohon Karet Rizki Ananda Putra Fajar; Rakhmat Kurniawan; Sriani
Da'watuna: Journal of Communication and Islamic Broadcasting Vol. 4 No. 4 (2024): Da'watuna: Journal of Communication and Islamic Broadcasting (In Press)
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/dawatuna.v4i4.1842

Abstract

Rubber plant is one of the plantation commodities that has an important role in economic activities in Indonesia. The need for rubber seeds continues to increase in line with the increase in the area of ​​smallholder rubber plantations and the government. Quality seeds are a community need in developing rubber plantations in Indonesia from year to year. The first step to get good rubber seeds is that rubber farmers need to use quality rubber seed planting material and are able to produce high latex. Given the very importance of seeds in determining quality rubber repair. With a Decision Support System with the vikor method to build a system that has the ability to be able to assist farmers in choosing superior rubber tree seeds with a system that is able to provide problem solving skills and communication skills for problems with semi-structured and unstructured conditions. This study uses the vikor method because this method is suitable for use in most real-time problems such as making decisions to find quality rubber tree seeds so that this research can be useful for rubber tree farmers in improving the quality of superior seeds.
Subject Selection Decision Support System Using the Weighted Aggregated Sum Product Assessment Method Setiawan, Mhd. Liandra; Sriani
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/s2d8vn67

Abstract

High school subject selection is crucial for aligning with students' interests and goals, but manual processes are often time-consuming and prone to errors. This study developed a decision support system using the WASPAS method, which combines WSM and WPM to produce a more stable and consistent evaluation of alternatives. A total of 35 10th-grade students of SMAN 16 Medan were recruited through total sampling using a Likert-scale questionnaire as the basis for the calculation. The system evaluation was verified on the entire data set, not just three samples like the previous version, to ensure the algorithm's suitability. The results show that the system generates interest recommendations based on the highest Qi score and is consistent with manual calculations, although its accuracy cannot yet be fully concluded. The distribution of student preferences is also presented, along with explanations of potential instrument bias and response bias as limitations of the study. Overall, this WASPAS-based system is considered capable of helping provide more objective and efficient subject selection recommendations.
Analisis Sentimen Publik Terhadap Kenaikan Pajak Pertambahan Nilai (PPN) Sebesar 12% Menggunakan Naïve Bayes Classifier Lu'luil Jannah; Sriani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.9151

Abstract

Perkembangan teknologi digital membuka peluang yang semakin luas bagi masyarakat untuk menyampaikan pendapat secara bebas melalui berbagai platform media sosial. Salah satu isu yang banyak menarik perhatian publik adalah kebijakan pemerintah terkait kenaikan Pajak Pertambahan Nilai (PPN) menjadi 12%. Ragam opini yang muncul dari masyarakat dapat dimanfaatkan sebagai bahan pertimbangan dalam proses evaluasi maupun pengambilan keputusan. Penelitian ini bertujuan untuk mengidentifikasi sentimen publik terhadap kebijakan kenaikan PPN dengan memanfaatkan algoritma Naïve Bayes Classifier. Tahapan penelitian meliputi pengumpulan data dari media sosial, pra-pemrosesan teks seperti case folding, tokenisasi, stopword removal, dan stemming serta pengubahan data teks ke bentuk numerik menggunakan metode TF-IDF. Dari total 600 data yang berhasil dihimpun dari media social X, dengan 80% digunakan sebagai data pelatihan dan 20% data sebagai data pengujian. Hasil penelitian menunjukkan adanya 51 tweet yang bernada positif, 352 bernada netral, dan 197 bernada negatif. Model Naïve Bayes menghasilkan performa klasifikasi yang cukup baik dengan akurasi 81,36%, presisi rata-rata 88%, recall 79%, dan F1-Score 82%. Temuan ini membuktikan bahwa Naïve Bayes merupakan algoritma yang efektif dan layak diandalkan untuk mengklasifikasikan opini publik secara cepat dan sistematis. Dengan demikian, model ini berpotensi menjadi alat pendukung dalam menganalisis persepsi masyarakat terhadap kebijakan pemerintah secara berbasis data.
Segmentation of Toddlers Based on Nutritional Status Using Agglomerative Hierarchical Clustering with Average Linkage Malid, Abdul; Sriani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9598

Abstract

Nutritional status among children under five remains an important public health concern, particularly in developing regions where early detection of growth problems is essential for effective intervention. Conventional nutritional assessments often rely on categorical classifications that may not fully capture variations in anthropometric characteristics among toddlers. This study aims to segment children under five based on nutritional status using the Agglomerative Hierarchical Clustering (AHC) algorithm with the Average Linkage method in the NA-IX-X District, North Labuhanbatu Regency. The study used secondary anthropometric data from 1,452 children obtained from the Aek Kota Batu Public Health Center. Quantitative variables, including body weight, height, and age, were standardized using z-score transformation prior to clustering analysis. The results show that a three-cluster configuration provides the optimal segmentation, with a Silhouette Coefficient value of 0.5154, indicating a moderate clustering structure. Cluster 1 (n = 180) shows relatively lower anthropometric measurements with an average body weight of 7.3 kg and height of 68.3 cm. Cluster 2 (n = 511) represents intermediate measurements with an average body weight of 11.5 kg and height of 87.8 cm, while Cluster 3 (n = 761) reflects higher measurements with an average body weight of 15.0 kg and height of 101.7 cm. Dendrogram analysis indicates that a cutting point at height = 1.5 produces the most interpretable cluster separation. These findings demonstrate that hierarchical clustering can support more targeted nutritional intervention strategies at the community health center level. 
Sistem Prediksi Kelulusan Santri Tahfidz Qur’an Menggunakan Algoritma C4.5 Sriani; Juraidah, Juraidah
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3325

Abstract

Yayasan Tahfidz Qur’an Umul Mukminin Aisyah merupakan lembaga pendidikan penghafal Al-Qur’an yang setiap tahun kuota santri semakin bertambah. Namun, tidaklsemua santri dapat lulus tepat waktu sesuai masaabelajar yang ditempuhhsehingga mengakibatkannpenumpukkan santri yang tidakllulus sesuai masapperiodelkelulusanya. Penentuan kelulusan santri berdasarkan beberapa kriteria yang harus dilalui oleh santri selama menempuh pembelajaran dilYayasan Tahfidz Qur’an. Oleh karena itu, perlu dilakukan penelitian menggunakannteknik klasifikasi yanggdapat mengolahhdata dalam jumlahhbesar untuk menemukanppola yang terjadilpada dataasantri. Pengolahanndata tersebut digunakan untuk memprediksikkelas yang belumddiketahui yaitu prediksikkelulusan santri. Teknikkklasifikasi yanggdigunakan adalah decisionttreeedengan penerapanaalgoritmaaC4.5. Inputannyang digunakannberupa data santri yanggmeliputi dari prestasi, kedisiplinan, hapalan dan lafadz. Data santri yang digunakan adalah data sampelttraining yang sudah lulus pada tahun 2019 dengan jumlah data 170. Dimana berdasarkan hasil pengolahan, didapati 114 data santri lulus dan 56 tidak lulus.
ANALISIS KESULITAN BELAJAR SISWA PADA MATERI TAJWID DAN UPAYA GURU PAI DALAM MENGATASINYA DI KELAS X SMA NEGERI 16 TEBO Pratama, Prandika; Sriani; Mabruri; Baili; Andryadi
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 7 No. 1 (2022): Volume 7 Nomor 1 Juni 2022
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v7i1.51848

Abstract

Tajwid instruction in senior high schools often presents a critical learning point due to its dual nature combining theoretical rules and recitation practice. This study aimed to analyze the types and levels of students’ learning difficulties in tajwid and map PAI teachers’ pedagogical efforts to overcome them. A descriptive quantitative-qualitative design was implemented at SMA Negeri 16 Tebo involving 124 tenth-grade students and three PAI teachers. Instruments included a tajwid diagnostic test (expert-validated CVI=0.88; α=0.84), pronunciation error observation sheets, semi-structured interviews, and lesson plan/remedial documentation. Test results showed 67.7% of students fell into moderate–high difficulty categories, with dominant error patterns in nun mati/tanwin rules (72.4%), mad (68.1%), and qalqalah (61.3%). Cause analysis revealed limited individual practice, regional accent interference, and scarce audio-visual media. PAI teachers responded through diagnostic-formative strategies, chunking-based differentiated instruction, interactive tajwid applications, and peer coaching systems. Discussion confirms that intervention effectiveness depends on alignment between precise difficulty identification, structured pronunciation scaffolding, and immediate corrective feedback. It is concluded that tajwid learning difficulties are multidimensional and require a pedagogical approach integrating precision diagnosis, guided practice, and supportive technology. The study recommends developing error-based remedial modules, teacher training in digital pronunciation assessment, and integrating routine tajwid practice into school culture.
STRATEGI GURU PAI DALAM MENANAMKAN NILAI TOLERANSI ANTARUMAT BERAGAMA DI SEKOLAH NEGERI BERBASIS MASYARAKAT PLURAL Rayadi; Baili; Mabruri; yulia friska, Sonia; Sriani
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 6 No. 1 (2021): Volume 6 Nomor 1 Juni 2021
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v6i1.51859

Abstract

This study aims to identify and analyze the strategies employed by Islamic Religious Education (PAI) teachers in instilling inter-religious tolerance values in public schools located within pluralistic communities. Using a qualitative approach with a multi-site case study design, the research involved three PAI teachers, six students from diverse religious backgrounds, two school principals, and one supervisor from two public junior high schools in multicultural regions. Data were collected through semi-structured interviews, participatory observation, and documentation. Data analysis followed the interactive model of Miles and Huberman. The findings indicate that PAI teachers implement four primary strategies: integration of tolerance values into lesson planning and delivery, inclusive behavioral role modeling, facilitation of structured interfaith dialogue, and contextualization of local wisdom. These strategies significantly contribute to fostering mutual respect, reducing religious prejudice, and strengthening social cohesion within the school environment. The study concludes that the role of PAI teachers in pluralistic schools extends beyond doctrinal knowledge transfer to functioning as agents of moderation and social cohesion. Practical implications highlight the need to strengthen teachers’ multicultural competencies, integrate tolerance values into the hidden curriculum, and ensure inclusive school policy support.
STRATEGI INKLUSIF GURU PAI DALAM MENGAKOMODASI GAYA BELAJAR DAN KEBUTUHAN SPESIFIK SISWA DI SEKOLAH REGULER: STUDI FENOMENOLOGI DI TIGA SMA INKLUSI DI KABUPATEN BUNGO, JAMBI Kurniawan, Sugeng; Sriani; Mulyani, Ranti; Baili; Sabli, Muhammad; Mabruri
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 2 (2025): Volume 10 No. 2 Juni 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i2.53614

Abstract

The implementation of inclusive education in regular schools requires Islamic Religious Education (PAI) teachers to develop pedagogical strategies responsive to diverse learning styles and specific student needs. This study aims to explore the lived experiences of PAI teachers in designing, implementing, and reflecting on inclusive strategies in regular classrooms that accommodate students with special needs in Bungo Regency, Jambi. The research employed a qualitative descriptive phenomenology design using Colaizzi’s seven-step analysis procedure. Subjects consisted of 12 PAI teachers from three inclusive public high schools in Bungo Regency, selected through purposive sampling based on criteria of at least three years of experience and teaching load in inclusive classes. Data were collected through semi-structured in-depth interviews, participatory observation, learning document analysis, and member checking. Analysis revealed four essential themes: (1) diagnostic mapping that transcends clinical labels toward holistic learning profiles, (2) flexible instructional design based on Universal Design for Learning (UDL) with contextual adaptations in worship and moral content, (3) structured collaborative ecosystems adapted to regional resource constraints, and (4) spiritual-emotional anchoring integrating Islamic values with Malay-Jambi local wisdom. Findings indicate that PAI teachers' inclusive strategies are not merely technical-pedagogical but transformative practices that unify differentiation competencies, multiprofessional collaboration, and internalization of religious values to create equitable, meaningful, and humane learning spaces in a semi-urban context. The study recommends strengthening inclusive pedagogical competencies in teacher professional education, developing contextual UDL-based PAI adaptation modules, and Bungo Regency Education Office policies that facilitate collaboration time and sustained mentoring. Results contribute to enriching the literature on inclusive PAI pedagogy and strengthening inclusive education policy implementation in the Jambi region.
SINERGI RUMAH-SEKOLAH-MASYARAKAT DALAM PENGUATAN PEMBELAJARAN PAI BERBASIS KARAKTER: MODEL KOLABORASI TRIPARTIT DI DAERAH BUNGO, JAMBI DI KABUPATEN BUNGO, JAMBI Kurniawan, Sugeng; Faliza; Sriani; Baili; Yulia Friska, Sonia; Sabli, Muhammad
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 2 (2024): Volume 09 No. 2 Juni 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i2.53849

Abstract

Character-based Islamic Religious Education (PAI) often experiences fragmentation due to disconnected roles of home, school, and community in internalizing religious and moral values. This study aims to explore tripartite synergy patterns, construct a collaboration model, and identify supporting and inhibiting factors in strengthening character-based PAI learning in Bungo Regency, Jambi. The research employed a descriptive qualitative case study design grounded in Bronfenbrenner’s social ecology theory and Epstein’s collaboration framework. Subjects consisted of 24 participants (12 PAI teachers, 8 parents, 4 community/religious leaders) from three junior/senior high schools selected purposively. Data were collected through in-depth interviews, participatory observation, and document analysis, then analyzed using reflexive thematic analysis and cross-case synthesis. Findings reveal four tripartite synergy mechanisms: (1) integrated character indicator mapping, (2) structured communication forums leveraging local wisdom and simple digital platforms, (3) community-based experiential learning (social internships, religious projects, youth majelis taklim mentoring), and (4) shared accountability systems through character journals, portfolios, and multi-stakeholder feedback. Supporting factors include the adat bersendi syarak value, community leader commitment, and collaborative school leadership. Inhibiting factors encompass parental time constraints, lack of dedicated budget allocation, digital literacy gaps, and misalignment between formal curriculum demands and informal community practices. The study concludes that the tripartite collaboration model transforms PAI from classroom-bound instruction into a holistic, contextual, and sustainable character formation ecosystem. Policy recommendations include institutionalizing synergy forums, developing collaboration guide modules, aligning regional character education budgets, and strengthening teachers' community pedagogy competencies. Findings contribute to Islamic character education theory and Merdeka Curriculum implementation in semi-urban regions.  
ANALYSIS OF STUDENT PREFERENCES IN DETERMINING EXTRACURRICULARS USING FUZZY MULTIPLE ATTRIBUTE DEPOSIT MAKING (FMADM) AND SIMPLE ADDITIVE WEIGHTING (SAW) Angli Anggragani; Sriani
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.55441

Abstract

Penelitian ini bertujuan mengembangkan sebuah Sistem Pendukung Keputusan (SPK) guna menganalisis preferensi siswa dalam memilih kegiatan ekstrakurikuler. Metode yang digunakan untuk penelitian ini ialah Fuzzy Multiple Attribute Decision Making (FMADM) dan Simple Additive Weighting (SAW). Melalui FMADM, bobot kriteria ditentukan sebagai berikut: Minat (0,30), Bakat (0,25), Prestasi (0,20), Waktu Luang (0,15), dan Fasilitas (0,10). Selanjutnya, metode SAW digunakan untuk menormalisasi matriks keputusan serta menghitung nilai preferensi dari lima alternatif kegiatan, yaitu Pramuka, Basket, Paskibra, PMR, dan Futsal/5vs5. Hasil penelitian menunjukkan bahwa pendekatan ini cukup sesuai dalam menghasilkan rekomendasi yang sesuai dengan profil masing-masing siswa. Pada pengujian, Futsal/5vs5 kerap menduduki peringkat teratas dengan nilai preferensi mencapai 0,93. Berdasarkan agregasi data dari 40 siswa, Futsal/5vs5 menjadi pilihan utama (50%), disusul PMR (25%), Pramuka (22,5%), Paskibra (2,5%), serta Basket (0%). Secara keseluruhan, integrasi FMADM dan SAW terbukti mengatasi ketidakpastian penilaian subjektif serta menghasilkan keputusan yang lebih transparan dan dapat dipertanggungjawabkan.