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JOURNAL OF SCIENCE AND SOCIAL RESEARCH
Published by Smart Education
ISSN : 26154307     EISSN : 26153262     DOI : -
Core Subject : Economy, Science, Education, Social,
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences
Journal of Science and Social Research is accepts research works from academicians in their respective expertise of studies. Journal of Science and Social Research is platform to disclose the research abilities and promote quality and excellence of young researchers and experienced thoughts towards Change for Development. The journal releases on February and July.
Arjuna Subject : -
Articles 3,645 Documents
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PENERAPAN MODEL PEMBELAJARAN TAKS BASED LEARNING MENGGUNAKAN MEDIA PUZZEL WORDWALL PADA MATERI SISTEM OPERASI UNTUK MENGKATKAN HASIL BELAJAR SISWA KELAS VIII SMP ERIA MEDAN Nazwa; Harnita Purba; Otomosi Gulo; Arini Vika Sari
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/47gvc378

Abstract

Abstract: This study aims to determine the improvement of learning outcomes by using the Task Based Learning learning model based on wordwall puzzles for eighth-grade students of Eria Middle School, Medan. This type of research uses classroom action research (CAR), which is carried out in 2 cycles using the Kurt Lewin model consisting of 4 stages, namely: planning, action, observation, and reflection. The subjects involved in this study were all 20 eighth-grade students of Eria Middle School in the 2025/2026 academic year. In this study, the instruments used were test sheets, observation sheets, linkert scales, and SPPS version 26. The data analysis technique is SPSS software where the data is processed using descriptive and interferential statistics, including minimum, maximum, mean, and standard deviation values. So the results of this study indicate that the application of the Puzzle Wordwall-assisted Task Based Learning model significantly improves student learning outcomes. Where the value shows an increase in the average student score from 54.50 (cycle I) to 75.75 (cycle II). Learning completeness increased from 15% to 60%. The Paired Sample t-Test test shows a significance of 0.000 (<0.05), proving a significant increase in learning outcomes. Thus, it can be concluded that the use of the Puzzle Wordwall-based Task Based Learning model on operating system material is very efficient and helps in improving the learning outcomes of class VIII students of SMP Eria Medan.   Keywords: Task Based Learning, Wordwall Puzzle, Learning Outcomes, Operating Systems, Middle School.   Abstrak: Penelitian ini bertujuan untuk mengetahui peningkatan hasil belajar dengan menggunakan model pembelajaran Task Based Learning berbasis puzzle wordwall siswa kelas VIII SMP Eria Medan. Jenis penelitian ini menggunakan penelitian tindakan kelas (PTK), yang dilakukan dengan 2 siklus memakai model Kurt Lewin yang terdiri dari 4 tahap yaitu: perencanaan, tindakan, pengamatan, dan refleksi. Subjek yang terlibat dalam penelitian ini ialah seluruh siswa kelas VIII SMP Eria tahun ajaran 2025/2026 yang berjumlah 20 siswa. Dalam penelitian ini instrumen  yang digunakan berupa lembar tes lembar observasi skala linkert dan SPPS versi 26. Teknik analisis data yaitu software SPSS dimana data diolah secara statistik deskriptif dan interfensial, meliputi nilai minimum, maksimum, mean, dan standar deviasi. Sehingga hasil penelitian ini menunjukkan bahwa penerapan model Task Based Learning berbantuan Puzzle Wordwall secara signifikan meningkatkan hasil belajar siswa. Dimana nilainya menunjukkan peningkatan nilai rata-rata siswa dari 54,50 (siklus I) menjadi 75,75 (siklus II). Ketuntasan belajar meningkat dari 15% menjadi 60%. Uji Paired Sample t-Test menunjukkan signifikansi 0,000 (< 0,05), membuktikan peningkatan hasil belajar signifikan. Dengan demikian, dapat disimpulkan bahwa penggunaan model Task Based Learning berbasis Puzzle Wordwall pada materi sistem operasi sangat efisien dan membantu dalam meningkatkan hasil belajar siswa kelas VIII SMP Eria Medan.   Kata kunci: Task Based Learning, Puzzle Wordwall, Hasil Belajar, Sistem Operasi, SMP
PARADIGMA KRITIS DAN AKSIOLOGI DALAM PENGEMBANGAN MANAJEMEN KEINGINAN DI LEMBAGA BISNIS Elly Rahayu; Wan Mariatul Kifti; Rahma Muti&#039;ah; Siti Mujiatun
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5643

Abstract

Abstract: This riset conceptually explores the analysis of power structures in the management of desires inside modern business organizations via the lens of critical paradigms and how axiological principles such as justice, sustainability, and autonomy might steer business practices towards enhanced ethicality and introspection. The critical paradigm method aims to "uncover" the concealed mechanisms underlying the formation and regulation of desires (for example, via marketing and self-responsibilization) to expose the ideological hegemony that sustains injustice. The action approach, on the other hand, stresses the importance of making moral ideals a part of company plans and practices. The synthesis of recent literature indicates that in the absence of normative values, business practices are susceptible to manipulation, exploitation, and the abuse of power, including market power. Companies that continuously adhere to ethical norms, such as justice, social responsibility, and openness, tend to exhibit greater competitiveness and longevity. This article asserts that establishing critical paradigms in desire management enhances accountability for socio-ecological consequences, while axiological values function as a normative guide to ensure that businesses do not solely "manage desires" for profit but also honor consumer autonomy, maintain distributive justice, and safeguard environmental sustainability. Practical implications necessitate the establishment of corporate policies that prioritize public welfare, in accordance with OECD guidelines on Responsible Business Conduct, coupled with the enhancement of consumer critical literacy to foster collective awareness that enables structural protections against market dominance
AKSIOLOGI DAN ETIKA PENGGUNAAN ARTIFICIAL INTELLIGENCE DALAM PENGAMBILAN KEPUTUSAN MANAJEMEN Donni Nasution; Feriyanto Feriyanto; Siti Mujiatun
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5646

Abstract

The development of Artificial Intelligence (AI) has brought significant changes to managerial decision-making processes. AI is capable of improving efficiency, accuracy, and the speed of data analysis across various managerial functions. However, the utilization of AI also raises axiological and ethical issues, particularly concerning values, responsibility, transparency, fairness, and the social impacts of the decisions generated. This paper aims to examine the axiological and ethical aspects of AI usage in managerial decision-making by highlighting its benefits, risks, and associated moral implications. Through a conceptual approach and literature review, this study discusses the importance of applying ethical principles such as accountability, fairness, and human oversight in the use of AI. The findings indicate that the integration of AI in management must be accompanied by a clear value-based and ethical framework to ensure that the technology provides optimal benefits without neglecting human values and social responsibility
INTEGRASI FILSAFAT ILMU DALAM PENGEMBANGAN TEORI PERILAKU ORGANISASI BERBASIS NILAI DAN MORAL Dhea Agusty Ningrum; Tomy Sun Siagian; Siti Mujiatun
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5649

Abstract

Organizational behavior studies have long been dominated by positivistic and rational-economic paradigms that position humans as instrumental actors. Such domination has marginalized moral and ethical dimensions in organizational practices, leading to increasing ethical violations, leadership crises, and declining organizational legitimacy. This study aims to examine the role of philosophy of science as the foundation for developing value- and morality-based organizational behavior theory. A qualitative approach was employed through a critical literature review of scientific publications related to philosophy of science, management, and organizational behavior. The findings indicate that integrating ontological, epistemological, and axiological dimensions enables the repositioning of humans as moral subjects, expands epistemological approaches through interpretive–reflective methods, and reinforces the normative purpose of organizational behavior science. This study concludes that value- and morality-based organizational behavior theory is essential for building ethical, just, and sustainable organizations, particularly within the Indonesian socio-cultural context
ANALISIS SENTIMEN MASYARAKAT MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN SUPPORT VECTOR MACHINE TERHADAP PROGRAM BPJS Charisman Fajri Saputra; Rini Sovia; Agung Ramadhanu
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5660

Abstract

Abstract: BPJS Kesehatan is a national health insurance program that plays a vital role in providing public health services in Indonesia; however, its implementation has generated diverse public perceptions reflected on social media. This study analyzes public sentiment toward the BPJS Kesehatan program based on Instagram comments using a text mining and machine learning approach. The research methodology includes Indonesian text preprocessing, feature weighting using Term Frequency–Inverse Document Frequency (TF–IDF), and three-class sentiment classification (positive, negative, and neutral) using Multinomial Naïve Bayes and Support Vector Machine (SVM) algorithms. The dataset consists of 1,461 Instagram comments, which are divided into training and testing data with an 80:20 ratio. The experimental results show that Multinomial Naïve Bayes achieves an accuracy of 80.55%, while SVM yields a higher accuracy of 86.35%. These results indicate that SVM performs better in separating sentiment classes within short and imbalanced Instagram comment data. This study contributes to Indonesian-language sentiment analysis research and provides insights for evaluating public health services through social media data. Keyword: sentiment analysis; BPJS Kesehatan; Instagram; Naïve Bayes; Support Vector Machine. Abstrak: BPJS Kesehatan merupakan program strategis nasional yang berperan penting dalam menjamin akses layanan kesehatan bagi masyarakat Indonesia, namun implementasinya masih memunculkan beragam persepsi publik yang tercermin pada media sosial. Penelitian ini mengkaji analisis sentimen masyarakat terhadap program BPJS Kesehatan berdasarkan komentar pada platform Instagram menggunakan pendekatan text mining dan pembelajaran mesin. Metode penelitian meliputi pra-pemrosesan teks berbahasa Indonesia, pembobotan fitur menggunakan Term Frequency–Inverse Document Frequency (TF–IDF), serta klasifikasi sentimen tiga kelas (positif, negatif, dan netral) menggunakan algoritma Multinomial Naïve Bayes dan Support Vector Machine (SVM). Dataset yang digunakan terdiri dari 1.461 komentar Instagram yang dibagi menjadi data latih dan data uji dengan rasio 80:20. Hasil pengujian menunjukkan bahwa Multinomial Naïve Bayes menghasilkan akurasi sebesar 80,55%, sedangkan SVM mencapai akurasi yang lebih tinggi yaitu 86,35%. Temuan ini menunjukkan bahwa SVM memiliki kemampuan yang lebih baik dalam memisahkan kelas sentimen pada data komentar Instagram yang bersifat pendek dan tidak seimbang. Penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan analisis sentimen berbahasa Indonesia serta menjadi masukan awal bagi evaluasi layanan publik berbasis media sosial. Kata kunci: analisis sentimen; BPJS Kesehatan; Instagram; Naïve Bayes; Support Vector Machine.
ANALISIS ALGORITMA K MEANS DAN C4.5 DALAM PENILAIAN KERJA KARYAWAN SEBAGAI OPTIMALISASI MANAJEMEN SDM Muhammad Idris; Gunadi Widi Nurcahyo; Musli Yanto
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5662

Abstract

Abstract: Human resources are strategic organizational assets; therefore, an objective, systematic, and data-driven performance evaluation system is required. At Universitas Alifah Padang, employee performance assessment is still dominated by conventional approaches that are subjective and have not been able to comprehensively describe performance patterns. This study aims to apply Data Mining using K-Means Clustering and the C4.5 algorithm to analyze employee performance evaluation. The research method employs the Knowledge Discovery in Database (KDD) framework, which includes data collection, data analysis, variable analysis, K-Means analysis, C4.5 analysis, and evaluation. The K-Means Clustering algorithm is used to group employees based on similarities in performance characteristics, while the C4.5 algorithm is applied to build a decision tree–based classification model to identify patterns and dominant factors influencing performance evaluation. The research dataset consists of 96 employee records assessed using six performance indicators: responsibility, initiative, teamwork, work quality, work quantity, and discipline. The results indicate the formation of three performance clusters, namely very good (42 records), good (48 records), and fairly good (6 records), with consistent results between manual calculations and RapidMiner testing. This study contributes a Data Mining–based employee performance evaluation model that can serve as a foundation for strategic decision-making in higher education institutions. Keywords: Data Mining;K Means Clustering;C4.5;Performa Evaluation Abstrak: Sumber daya manusia merupakan aset strategis organisasi sehingga diperlukan sistem penilaian kinerja yang objektif, sistematis, dan berbasis data. Di Universitas Alifah Padang, penilaian kinerja karyawan masih didominasi pendekatan konvensional yang bersifat subjektif dan belum mampu menggambarkan pola kinerja secara komprehensif. Penelitian ini bertujuan menerapkan konsep Data Mining dengan algoritma K-Means Clustering dan C4.5 untuk menganalisis penilaian kinerja karyawan. Metode penelitian menggunakan kerangka Knowledge Discovery in Database (KDD) yang meliputi kumpul data, analisa data, analisa variabel, analisis k means, C4.5 dan evaluasi. Algoritma K-Means Clustering digunakan untuk mengelompokkan karyawan berdasarkan kemiripan karakteristik kinerja, sedangkan algoritma C4.5 digunakan untuk membangun model klasifikasi berbasis pohon keputusan guna mengidentifikasi pola dan faktor dominan penilaian kinerja. Dataset penelitian terdiri dari 96 data karyawan dengan enam indikator kinerja, yaitu tanggung jawab, inisiatif, kerja sama tim, kualitas kerja, kuantitas kerja, dan disiplin. Hasil pengujian menunjukkan terbentuknya tiga klaster kinerja, yaitu sangat baik (42 data), baik (48 data), dan cukup baik (6 data), dengan hasil yang konsisten antara perhitungan manual dan RapidMiner. Penelitian ini berkontribusi menyediakan model analisis penilaian kinerja berbasis Data Mining sebagai dasar pengambilan keputusan strategis di perguruan tinggi. Abstrak ditulis menggunakan times new roman 11 maksimal 200 kata dalam satu paragraf. Abstrak ditulis dengan ringkas, jelas, dalam bahasa Indonesia dan bahasa inggris. Abstrak minimal memuat tujuan, metodologi, hasil penelitian, dan simpulan. Abstrak didampingi oleh kata kunci. Kata kunci sedapat mungkin menjelaskan isi tulisan, ditulis dengan huruf kecil kecuali singkatan, maksimum 5 (Lima) kata, masing-masing dipisahkan dengan titik koma; Times New Roman 11. Kata kunci: Data Mining; K Means Clustering; C4.5; Penilaian Kinerja
ANALISIS MANAJEMEN RISIKO KESEHATAN DAN KESELAMATAN WISATAWAN (STUDI KASUS OBJEK WISATA ALAM DANUM BAHANDANG TANGKILING) Juliana Anggreani Puspitasari; Achmad Syamsudin; Gema Borneo Poetra; Jonathan Giovanni
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5679

Abstract

Abstract: Nature-based tourism has distinctive risk characteristics due to direct interactions between tourists and the natural environment. Danum Bahandang Natural Tourism Site is a nature tourism destination that potentially poses health and safety risks to visitors if not managed systematically. This study aims to analyze potential hazards and the level of tourist health and safety risks at the Danum Bahandang Natural Tourism Site. A qualitative descriptive approach was employed using the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) method. Data were collected through field observations, interviews, documentation, and a Google Form questionnaire involving 14 respondents. The results indicate that potential hazards originate from road access conditions, river characteristics, natural environmental elements, and limited safety facilities. Risk assessment shows varying levels of risk, ranging from low to high, influenced by environmental conditions and tourist activities. This study concludes that the HIRARC method is effective in identifying and mapping health and safety risks in nature-based tourism destinations, contributing to risk management practices in sustainable tourism development. Keyword: Risk Management, Tourist Safety, Hazard Identification, Risk Assessment, And Risk Control (HIRARC) Abstrak: Wisata alam memiliki karakteristik risiko yang khas akibat interaksi langsung antara wisatawan dan lingkungan alami. Objek Wisata Alam Danum Bahandang merupakan salah satu destinasi wisata alam yang berpotensi menimbulkan risiko kesehatan dan keselamatan wisatawan apabila tidak dikelola secara sistematis. Penelitian ini bertujuan menganalisis potensi bahaya dan tingkat risiko kesehatan serta keselamatan wisatawan pada Objek Wisata Alam Danum Bahandang. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan Hazard Identification, Risk Assessment, and Risk Control (HIRARC). Pengumpulan data dilakukan melalui observasi lapangan, wawancara, dokumentasi, serta kuesioner Google Form yang melibatkan 14 responden. Hasil penelitian menunjukkan bahwa potensi bahaya bersumber dari kondisi akses jalan, karakteristik perairan sungai, keberadaan elemen alam, serta keterbatasan fasilitas keselamatan. Penilaian risiko menunjukkan variasi tingkat risiko dari rendah hingga tinggi yang dipengaruhi oleh kondisi lingkungan dan aktivitas wisata. Penelitian ini menyimpulkan bahwa metode HIRARC efektif digunakan untuk memahami dan memetakan risiko kesehatan dan keselamatan wisatawan pada destinasi wisata alam sebagai bagian dari upaya pengelolaan pariwisata yang berkelanjutan. Kata kunci: Manajemen Risiko, Kesehatan Keselamatan, Hazard Identification, Risk Assessment, And Risk Control (HIRARC)
MENGEMBANGKAN LITERASI CERITA DAERAH MELALUI PPROGRAM KREATIVITAS ANAK : SEBUAH STUDI KASUS DI TK YUSTISIA 2 KELAPA TUJUH KOTABUMI LAMPUNG UTARA Yolanda Mutiara; Anisa Juliana; Rahma Wulandari; Flora Ambarwati
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5684

Abstract

Abstract: This study aims to develop early childhood literacy in regional storytelling through the Children's Creativity Program at Kober Yustisia 2 Kindergarten, Kelapa Tujuh, Kotabumi, North Lampung. Forty children aged 4–6 years old, divided into classes B1 and B2, were involved using the Classroom Action Research (CAR) method, with stages of planning, implementation, observation, and reflection. The program included an introduction to regional storytelling, character discussions, character drawing, the creation of simple storybooks, and exhibitions and readings of children's work. The results showed a significant increase in children's literacy in regional storytelling, with the percentage of children with high literacy increasing from 45% to 82%, while those with medium and low literacy decreased to 13% and 5%, respectively. Furthermore, children demonstrated increased activeness, creativity, social-emotional skills, and courage in expressing ideas. Interviews with teachers and children supported these findings, demonstrating increased interest in learning, self-confidence, and pride in their work. Based on these results, the Children's Creativity Program based on regional storytelling is effective in improving literacy and instilling local cultural values in early childhood. Keyword: Early Childhood Literacy, Regional Stories, Children's Creativity Program Abstrak : Penelitian ini bertujuan untuk mengembangkan literasi cerita daerah anak usia dini melalui Program Kreativitas Anak di TK Kober Yustisia 2 Kelapa Tujuh, Kotabumi, Lampung Utara dengan melibatkan 40 anak usia 4–6 tahun yang terbagi dalam kelas B1 dan B2 , menggunakan metode Penelitian Tindakan Kelas (PTK) dengan tahapan perencanaan, pelaksanaan, observasi, dan refleksi. Program yang diterapkan meliputi pengenalan cerita daerah, diskusi tokoh cerita, menggambar tokoh, pembuatan buku cerita sederhana, serta pameran dan pembacaan karya anak. Hasil penelitian menunjukkan peningkatan signifikan pada literasi cerita daerah anak, dengan persentase anak berkategori literasi tinggi meningkat dari 45% menjadi 82%, sementara literasi sedang dan rendah menurun menjadi 13% dan 5%. Selain itu, anak menunjukkan peningkatan keaktifan, kreativitas, kemampuan sosial-emosional, dan keberanian mengekspresikan ide. Wawancara dengan guru dan anak mendukung temuan ini, menunjukkan peningkatan minat belajar, kepercayaan diri, dan rasa bangga terhadap karya yang dibuat. Berdasarkan hasil tersebut, Program Kreativitas Anak berbasis cerita daerah efektif dalam meningkatkan literasi dan menanamkan nilai budaya lokal pada anak usia dini. Kata kunci: Literasi Anak Usia Dini, Cerita Daerah, Program Kreativitas Anak
RANTAI NILAI DAN KEADILAN EKONOMI DALAM KOMODITAS PERIKANAN LOKAL: SINTESIS GLOBAL DAN PEMBELAJARAN UNTUK INDONESIA Asep Satria Yudha Bhermana; Ade Hidayat Ilka; Junaidi Junaidi; Harfiandri Damanhuri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/27bv0d45

Abstract

Abstract: The fisheries value chain plays a crucial role in determining the distribution of economic benefits and the welfare of coastal communities. However, global studies consistently reveal that small-scale fishers—the primary producers—receive a disproportionately low share of the total value generated within seafood markets. This review analyzes 20 international publications (2021–2025) addressing the intersection of value chains, economic justice, and fisheries governance. A thematic synthesis approach was employed, comparing global contexts (Latin America, Africa, Southeast Asia) with Indonesia. The findings show that economic justice is influenced not only by market mechanisms but also by social, institutional, and policy factors. The Indonesian case highlights persistent value inequalities caused by unbalanced market structures, weak social protection, and limited local participation. The article concludes with recommendations for governance reforms emphasizing access rights, representation, and redistributive mechanisms to build fair and sustainable fisheries systems.   Keyword: economic justice; governance; Indonesia; small-scale fisheries; value chain   Abstrak: Rantai nilai perikanan memainkan peran penting dalam menentukan distribusi nilai ekonomi dan kesejahteraan masyarakat pesisir. Namun, berbagai studi global menunjukkan bahwa nelayan kecil sebagai produsen utama seringkali menerima bagian nilai ekonomi yang sangat kecil dibandingkan pelaku di tingkat hilir. Artikel ini merupakan tinjauan sistematis terhadap 20 publikasi ilmiah internasional (2021–2025) yang membahas hubungan antara rantai nilai, keadilan ekonomi, dan tata kelola perikanan. Analisis dilakukan melalui pendekatan sintesis tematik dengan membandingkan konteks global (Amerika Latin, Afrika, Asia Tenggara) dan Indonesia. Hasil menunjukkan bahwa keadilan ekonomi tidak hanya dipengaruhi oleh mekanisme pasar, tetapi juga oleh faktor sosial, kelembagaan, dan kebijakan. Kasus Indonesia memperlihatkan bahwa perikanan lokal masih menghadapi ketimpangan nilai akibat struktur pasar yang tidak seimbang, lemahnya perlindungan sosial, dan minimnya partisipasi lokal. Artikel ini merekomendasikan reformasi tata kelola yang berfokus pada hak akses, representasi, serta redistribusi nilai ekonomi bagi nelayan kecil menuju sistem perikanan yang adil dan berkelanjutan.   Kata kunci: Indonesia; keadilan ekonomi; perikanan skala kecil; rantai nilai; tata kelola
IMPLEMENTASI ERP ODOO UNTUK MENINGKATKAN EFISIENSI PROSES PRODUKSI: STUDI KASUS PADA PT IDOLA KARYA SEMPURNA Yusuf Agung Purwadi; Arief Ichwani
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5700

Abstract

Abstract: Implementing an Enterprise Resource Planning (ERP) system is a strategic solution for improving business process efficiency in the garment industry, which has a complex, order-based production flow. This study aims to examine the implementation of an Odoo-based ERP system to improve production process efficiency in the garment industry. The research method used was a descriptive qualitative approach through observation, interviews, and documentation studies of the company's business processes. System analysis was conducted using process modeling using Business Process Modeling Notation (BPMN) and Data Flow Diagrams (DFDs) to illustrate conditions before and after system implementation. The Odoo ERP implementation included the integration of Sales, Inventory, Manufacturing, Purchase, Accounting, Payroll, CRM, Employee, and Measurement Data modules. The results showed that the Odoo ERP implementation was able to centrally integrate all business processes, reduce manual record-keeping, accelerate production workflows, and improve the accuracy of inventory and payroll data. The system also supported managerial decision-making by providing more accurate and real-time information. Thus, the Odoo ERP implementation has been proven to positively contribute to improving production process efficiency in the garment industry. Keywords: ERP, Odoo, Production Efficiency, Garment Industry, Information System Abstrak: Implementasi sistem Enterprise Resource Planning (ERP) merupakan solusi strategis untuk meningkatkan efisiensi proses bisnis di industri garmen, yang memiliki alur produksi berbasis pesanan yang kompleks. Studi ini bertujuan untuk meneliti implementasi sistem ERP berbasis Odoo untuk meningkatkan efisiensi proses produksi di industri garmen. Metode penelitian yang digunakan adalah pendekatan kualitatif deskriptif melalui observasi, wawancara, dan studi dokumentasi proses bisnis perusahaan. Analisis sistem dilakukan menggunakan pemodelan proses dengan menggunakan Business Process Modeling Notation (BPMN) dan Data Flow Diagrams (DFD) untuk menggambarkan kondisi sebelum dan sesudah implementasi sistem. Implementasi ERP Odoo mencakup integrasi modul Penjualan, Inventaris, Manufaktur, Pembelian, Akuntansi, Penggajian, CRM, Karyawan, dan Data Pengukuran. Hasil penelitian menunjukkan bahwa implementasi ERP Odoo mampu mengintegrasikan semua proses bisnis secara terpusat, mengurangi pencatatan manual, mempercepat alur kerja produksi, dan meningkatkan akurasi data inventaris dan penggajian. Sistem ini juga mendukung pengambilan keputusan manajerial dengan menyediakan informasi yang lebih akurat dan real-time. Dengan demikian, implementasi Odoo ERP telah terbukti memberikan kontribusi positif dalam meningkatkan efisiensi proses produksi di industri garmen. Kata kunci: ERP, Odoo, Efisiensi Produksi, Industri Garmen, Sistem Informasi

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