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Showing 71 articles found for "Lean"

Peningkatan Akurasi Klasifikasi Sentimen Pengguna Dompet Digital Menggunakan Stacking Ensemble Machine Learning

Ilmawati, Nadya Alinda Rahmi, Elvira Sawitri
Abstract: Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna… dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna. The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.

Optimalisasi Strategi Promosi Penerimaan Mahasiswa Baru Melalui Analisis Data Historis

Husna Gemasih, Erika Fahmi Ginting, Suci Andryani, Mutiara S. Simanjuntak
Abstract: Promosi penerimaan mahasiswa baru (PMB) merupakan salah satu faktor penting dalam meningkatkan jumlah dan kualitas calon mahasiswa. Namun, strategi promosi yang belum memanfaatkan data historis secara optimal dapat menyebabkan… babkan kegiatan promosi kurang tepat sasaran. Penelitian ini bertujuan untuk menganalisis data historis PMB sebagai dasar dalam menyusun strategi promosi yang lebih efektif pada Jurusan Teknologi Informasi dan Komputer Politeknik Negeri Lhokseumawe. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan memanfaatkan data sekunder PMB periode 2023–2025. Analisis dilakukan melalui tahapan data cleaning, transformasi data, statistik deskriptif, segmentasi calon mahasiswa, dan visualisasi data menggunakan dashboard analitik. Variabel yang dianalisis meliputi program studi, asal sekolah, jurusan asal sekolah, kecamatan, kabupaten/kota, provinsi, jalur masuk, dan sumber informasi pendaftar. Hasil penelitian menunjukkan bahwa sebagian besar pendaftar berasal dari Provinsi Aceh, khususnya Kabupaten Aceh Utara dan Kota Lhokseumawe, dengan dominasi lulusan jurusan IPA serta peminat terbesar pada Program Studi Teknik Informatika. Instagram dan website menjadi sumber informasi utama bagi calon mahasiswa. Pemanfaatan data historis melalui visualisasi data mampu memberikan informasi yang lebih komprehensif mengenai karakteristik calon mahasiswa sehingga dapat mendukung pengambilan keputusan dalam penyusunan strategi promosi PMB yang lebih terarah, efektif, dan berbasis data. New student admissions (PMB) promotion is an important factor in increasing the number and quality of prospective students. However, promotional strategies that do not optimally utilize historical data can result in less targeted promotional activities. This study aims to analyze historical PMB data as a basis for developing a more effective promotional strategy in the Information and Computer Technology Department of the Lhokseumawe State Polytechnic. The study uses a descriptive quantitative approach utilizing secondary PMB data for the 2023–2025 period. The analysis was carried out through the stages of data cleaning, data transformation, descriptive statistics, prospective student segmentation, and data visualization using an analytical dashboard. The variables analyzed included study program, school of origin, major of origin of school, sub-district, regency/city, province, admission route, and applicant information sources. The results show that most applicants come from Aceh Province, especially North Aceh Regency and Lhokseumawe City, with a predominance of science graduates and the greatest interest in the Informatics Engineering Study Program. Instagram and websites are the main sources of information for prospective students. The use of historical data through data visualization can provide more comprehensive information regarding the characteristics of prospective students so that it can support decision-making in developing more targeted, effective, and data-based PMB promotion strategies. 

PENERAPAN MESIN PEMBUATAN PEMBERSIH RAMAH LINGKUNGAN BERBAHAN DASAR BUNGA MAWAR SERTA PENENTUAN BIAYA PRODUKSI SEBAGAI ALTERNATIF PENGHASILAN BAGI PONDOK PESANTREN DAARUS SUNNAH RANGKAS BITUNG

Taufik Akbar, Sabarudin Muslim
Abstract: This community service program aims to empower Pondok Pesantren Daarus Sunnah Rangkas Bitung through the application of technology for producing environmentally friendly cleaners made from rose extract. This activity was… implemented in response to the needs of the pesantren's laundry unit serving approximately 300 students, as well as to provide entrepreneurial training for teachers and students. The method used is Community-Based Participatory Research (CBPR) with direct training and continuous mentoring approaches. Activities include socialization, product manufacturing training, hands-on practice, and production and marketing assistance. The results show a significant increase in participants' knowledge and skills in producing environmentally friendly cleaners. The products have been used in the pesantren's laundry unit and have potential to be marketed to the wider community. This program contributes to improving teachers' welfare through alternative income sources and equips students with entrepreneurial skills. Program outputs include publications in mass media, documentation videos on YouTube, and journal articles under review. This activity aligns with the Sustainable Development Goals (SDGs), particularly goal 8 (inclusive economic growth) and goal 12 (responsible consumption and production).

MENELISIK ADAB DALAM IBADAH: DIMENSI SPIRITUAL DAN ETIKA DALAM THAHARAH, SHALAT, ZAKAT, PUASA, DAN HAJI

Manzilah Syahidaturrahma, Amna Mauliza, Siti Masyithoh
Abstract: Worship in Islam is not merely the performance of rituals, but also reflects ethical and spiritual values embodied through etiquette. Without etiquette, worship can lose its inner meaning and fail to bring about spiritual… l and social transformation. Etiquette is a reflection of a deep understanding of the purpose of worship and a servant's closeness to his Lord. It balances the physical and spiritual dimensions, as well as the formal and substantial aspects of every religious practice. This article aims to examine in depth the role of etiquette in perfecting the performance of the five main acts of worship in Islam, namely thaharah, prayer, zakat, fasting, and hajj. This research uses a qualitative descriptive method based on literature review. Data sources include the Qur'an and Hadith of the Prophet SAW, classical literature such as Riyadhus Shalihin and Ihya Ulumuddin, as well as contemporary references such as Tafsir Al-Azhar and scientific studies published in 2020 and beyond. The findings reveal that etiquette plays a crucial role in all forms of worship: purity reinforces both physical and spiritual cleanliness, prayer cultivates spiritual devotion and discipline, zakat instills social awareness and empathy, fasting trains patience and self-control, while the pilgrimage teaches orderliness, humility, and tolerance within the framework of global Islamic interaction. Adab is not merely etiquette but the essence that gives worship meaning and broad impact. Adab also serves as a tool for self-transformation toward becoming an outstanding Muslim in moral, spiritual, and social aspects in the modern era.  

CLASSIFICATION OF USER REVIEW SENTIMENT TOWARD PAYLATER SERVICES ON THE KREDIVO AND AKULAKU APPS USING NAÏVE BAYES

Parameswari, Sang Dara, Lubis, Muharman, Suakanto, Sinung
Abstract: PayLater services are one of the rapidly growing digital financial innovations widely utilised in fintech apps in Indonesia, including Kredivo and Akulaku. User reviews on the Google Play Store reflect a range of experiences,… nces, from satisfaction with the ease of use of the service to complaints regarding bills, interest rates, late payment fees, credit limits, and app performance. This study aims to classify the sentiment of user reviews regarding PayLater services on the Kredivo and Akulaku apps using the Multinomial Naïve Bayes algorithm. Data was collected via web scraping from the Google Play Store and automatically labelled based on user ratings, with ratings of 1-2 classified as negative sentiment and ratings of 4-5 as positive sentiment, whilst a rating of 3 was excluded as it was considered ambiguous. Following a preprocessing stage comprising cleaning, case folding, tokenisation, stopword removal, and stemming, as well as feature extraction using TF-IDF, 3,652 reviews were obtained with a training-to-test data split ratio of 80:20. The results indicate that positive sentiment dominates the dataset at 56.49%, whilst negative sentiment accounts for 43.51%. Analysis by application revealed that Kredivo was dominated by positive sentiment (68.20%), whilst Akulaku was dominated by negative sentiment (51.70%).  The Naïve Bayes multinomial model achieved an accuracy of 84.13%, with average precision, recall, and F1-score values of 0.84, demonstrating good and balanced classification performance across both sentiment classes.

CIVIL-MILITARY CORRIDOR RESILIENCE MODEL FOR INFRASTRUCTURE MANAGEMENT IN INDONESIA’S OUTERMOST BORDER ISLAND: EVIDENCE FROM MIANGAS ISLAND

G, Brantas Suharyo, Noonphakdee, Thamrongchai, Suksiengsri, Phongpincharn
Abstract: Infrastructure management in outermost border islands is not only a matter of physical development, but also a strategic issue related to sovereignty, community welfare, connectivity and national defence. This article examines… amines infrastructure management on Miangas Island, one of Indonesia’s northernmost outer islands bordering the Philippines. Although Miangas already has several basic and strategic infrastructures, including roads, an airport, a port, electricity facilities, clean water sources, telecommunications, health facilities and security infrastructure, these assets have not yet functioned as an integrated and reliable system. The main problem is therefore not the absence of infrastructure, but the gap between physical availability and functional performance. This study uses a qualitative descriptive-analytical approach based on field observation, semi-structured interviews and document review. Data were analysed using the Miles and Huberman model, supported by STEEP+M and SWOT analysis. The findings show that infrastructure management in Miangas is influenced by three main indicators: infrastructure availability and quality, connectivity and accessibility, and infrastructure sustainability. Internally, Miangas has strengths in its strategic geography, existing infrastructure assets, state institutional presence, social cohesion and strong national identity. However, these strengths are constrained by weak service quality, limited maintenance, unstable connectivity, a fragile local economy and inadequate maritime surveillance. Externally, Miangas benefits from national legal support, strategic policy status and Indonesia–Philippines cooperation, but faces threats from cross-border dependence, illegal fishing, border violations, environmental pressure and geopolitical sensitivity. The SWOT analysis places Miangas in the WO quadrant, meaning that external opportunities should first be used to overcome internal weaknesses. This article proposes the Civil-Military Corridor Resilience Model as an integrated framework that connects public services, logistics, energy, local markets, maritime security and territorial defence in one border resilience system.

SYNERGY OF PANCASILA AND POLITICS ON ECOLOGICAL CIVIC EDUCATION IN PUAY VILLAGE, PAPUA PROVINCE

Ode Jamal, Ade Sopyan Hadi, Mashita, Maya, Nesliani Paotonan, Barrang, Grand, Refas, Melianan Refasi
Abstract: In Indonesia, various disasters frequently occur, and in many cases, they are not solely caused by natural factors, but also by irresponsible human behavior and activities regarding the environment. These disasters include… de floods caused by illegal logging and indiscriminate waste disposal that clog waterways; forest fires often caused by land clearing by burning; and river pollution caused by untreated household and industrial waste. These conditions demonstrate that human behavior plays a significant role in exacerbating environmental damage and increasing the risk of disasters in various regions of Indonesia. The purpose of this study is to show data regarding the Synergy of Pancasila and Politics on Ecological Citizenship Education in Puay Village, Papua Province. The research method used in this study is a qualitative approach, while the type of research used is a case study. The results of this study show data that efforts to protect the environment which is part of the ecological citizenship carried out by the Puay Village community are by planting trees, cleaning the banks of Lake Sentani in Puay Village when commemorating the entry of the Gospel in Puay Village, and introducing the nature around Lake Sentani to students of SDN 5 Puay Village. The conclusion of this study is that the Puay Village community has contributed to protecting nature, especially the environment around Lake Sentani, which is the lifeblood of the Puay Village community.

IMPLEMENTATION OF THE NAIVE BAYES METHOD FOR CATERING SALES PREDICTION AT PT NEGARA RASA INDONESIA

Gulo, Benifati, Machfud, Syaeful
Abstract: This study discusses the implementation of the Naïve Bayes method to predict catering sales at PT.Negara Rasa Indonesia. The background of this study is based on the problem of suboptimal sales due to the absence of a structured… tructured sales prediction system. The Naïve Bayes method was chosen because of its simplicity, speed, and ability to classify data with a high degree of accuracy. The data used in this study is historical sales data from the last two years, which has undergone cleaning, labeling, and transformation into four sales categories, namely very popular, popular, fairly popular, and less popular. The testing process was carried out using RapidMiner software by dividing the dataset into training data and test data at various ratios of 80:20. The test results showed a very high level of accuracy, with the highest value reaching 91.41%. These findings prove that the Naïve Bayes method is reliable for predicting catering sales, thereby assisting decision-making in more efficient sales management and planning at PT. Negara Rasa Indonesia.

THE INFLUENCE OF TALENT MANAGEMENT, CONTINUOUS IMPROVEMENT, AND PERFORMANCE APPRAISAL ON PRODUCTIVITY OF VETERINARY STAFF IN LARAS SATWA CLINIC

Sasmita, Ady, Nurwulandari, Andini, Setyawati, Irma
Abstract: This systematic literature review examined 40 high-quality empirical studies to synthesize evidence regarding how talent management, continuous improvement, and performance appraisal influence employee productivity across… s organizational contexts. The findings reveal that talent management creates direct and moderated effects on employee productivity through organizational culture and employee involvement mechanisms. Continuous improvement methodologies, including Lean Six Sigma approaches, yield simultaneous improvements in both productivity and quality outcomes, with demonstrated effectiveness in service-oriented sectors. Performance appraisal systems enhance employee productivity through clarified performance expectations, developmental feedback, and strengthened accountability mechanisms. A critical finding is that integrating these three human resource management domains produces synergistic effects that exceed the sum of isolated interventions, demonstrating multiplicative rather than additive productivity gains through mutually reinforcing mechanisms. The 40 included studies employed balanced methodological approaches including quantitative surveys, structural equation modeling, qualitative investigations, and empirical case studies, with 65% published in 2024-2025 reflecting contemporary human resource management practices. This systematic evidence synthesis establishes that veterinary clinics implementing comprehensive integrated approaches addressing talent management, continuous improvement, and performance appraisal simultaneously would achieve superior productivity outcomes while addressing the profession's unique emotional labor demands and animal welfare responsibilities.

THE INFLUENCE OF SOCIAL FACTORS ON HONEY CONSUMPTION INTEREST AMONG EARLY CHILDHOOD VISITORS AT PT. KEMBANG JOYO SRIWIJAYA MALANG

Ruth Nora Luthan Br Pardosi, Siti Azizah
Abstract: Honey consumption in Indonesia is still relatively low, at only around 10–15 grams per capita per year, far behind developed countries. This low consumption presents a challenge for honey industry players, including PT.… . Kembang Joyo Sriwijaya, which actively welcomes educational visits from young children. These visits have the potential to shape healthy consumption habits through direct interaction with the beekeeping process and education on the benefits of honey. This study aims to analyze the social factors that influence young visitors' interest in honey consumption, including product appeal, destination image, and knowledge. The study used a quantitative method with a convenience sampling technique on 50 respondents who were parents or guardians of children aged 4–5 years who visited PT. Kembang Joyo Sriwijaya for educational purposes. Data were collected through questionnaires, interviews, and observations, then analyzed using multiple linear regression to test the influence of each variable on consumption interest. The results showed that all three social factors product appeal, destination image, and knowledge play a significant role in shaping young children's interest in honey consumption. Product appeals such as packaging, flavor, and interactive experiences have been shown to increase children's interest. The image of a clean, safe, educational, and child-friendly destination strengthens visitors' positive perceptions. Meanwhile, knowledge about the benefits of honey and its production process increases parents' motivation to introduce honey as a healthy consumption. This research provides strategic recommendations for PT. Kembang Joyo Sriwijaya in developing more effective educational and marketing programs to increase interest in honey consumption in children from an early age.