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All Journal Jurnal Teknik Industri IPTEK Journal of Proceedings Series TEKMAPRO Journal of Industrial Engineering and Management Journal Industrial Servicess Indonesian Journal of Tropical and Infectious Disease Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Business and Finance Journal Industri Inovatif : Jurnal Teknik Industri Interdisciplinary Social Studies Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Sewagati Jurnal Pendidikan Siber Nusantara
Sri Gunani Partiwi
Departemen Teknik Industri, Fakultas Teknologi Industri, Institut Teknologi Sepuluh Nopember
Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

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PREDICTION OF DENGUE FEVER EPIDEMIC SPREADING USING DYNAMICS TRANSMISSION VECTOR MODEL Widyaningrum, Retno; Partiwi, Srigunani; Rahman, Arief; Sudiarno, Adithya
Indonesian Journal of Tropical and Infectious Disease Vol. 5 No. 2 (2014)
Publisher : Institute of Topical Disease Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (986.036 KB) | DOI: 10.20473/ijtid.v5i2.225

Abstract

Increasing number of dengue cases in Surabaya shows that its city has high potential of dengue fever epidemic. Although some policies were designed by Surabaya Health Department, such as fogging and mosquito's nest eradication, but these efforts still out of target because of inaccurate predictions. Ineffectiveness eradication of dengue fever epidemic is caused by lack of information and knowledge on environmental conditions in Surabaya. Developing spread and prediction system to minimize dengue fever epidemic is necessary to be conducted immediately. Spread and prediction system can improve eradication and prevention accuracy. The transmission dynamics vector simulation will be used as an approach to draw a complex system of mosquito life cycle in which involve a lot of factors. Dynamics transmission model used to build model in mosquito model (oviposition rate and pre adult mosquito), infected and death cases in dengue fever. The model of mosquito and infected population can represent system. The output of this research is website of spread and prediction system of dengue fever epidemics to predict growth rate of Aedes Aegypti mosquito, infected, and death population because of dengue fever epidemics. The deviation of infected population is 0,519. The model of death cases in dengue fever is less precision with the deviation 1,229. Death cases model need improvement by adding some variables that influence to dengue fever death cases. Spread of dengue fever prediction will help the government, health department to decide the best policies in minimizing the spread of dengue fever epidemics.
Tropical Disease Prevention and Control: Is It Now Knowledge Management Era? Sudiarno, Adithya; Rahman, Arief; Partiwi, Sri Gunani
Indonesian Journal of Tropical and Infectious Disease Vol. 1 No. 2 (2010)
Publisher : Institute of Topical Disease Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1856.632 KB) | DOI: 10.20473/ijtid.v1i2.2176

Abstract

Indonesia is the part of developing Asian countries, until now still not declared free from various types of tropical diseases.  Whereas, several years ago Indonesia has declared free from various kinds of tropical diseases, but in fact, tropical diseases up to  now still cannot be eliminated. Moreover the prevalence rates of tropical diseases tended to increase from year to year. One of the reasons Indonesia is a tropical climate, but in fact we are not able to control the climate. In this condition, what we can do is to raise public awareness so the spread of the disease can be controlled. It was time for an early awareness efforts conducted in a participatory manner by all stakeholders. In this case, stakeholders can be health practitioners, researchers, policy makers (official), and even the citizens. Participatory awareness can be enhanced if we have an integrated system that can accommodate all knowledge about tropical disease. The knowledge consists of characteristic about disease, potential risk, how to cure, how to isolate disease in community, and absolutely important is how to prevent of illness, etc. This paper aims to propose an integrated system called Tropical Disease Knowledge Management System (TDKMS) for enhancing the participatory awareness.
Pengembangan Bisnis dan Pendampingan Manajemen Keuangan dalam Pengelolaan Unit Usaha di SLB Putra Manunggal, Kebumen, Jawa Tengah Partiwi, Sri Gunani; Pratiwi, Atikah Aghdhi; Sholihah, Mar'atus; Basuki, Satrio Samudro Aji; Wessiani, Naning Aranti; Suwignjo, Patdono; Wibowo, Chandra Aryo; Wiscahyo, Gelar; Akmal, Izzane Muhammad; Firdaus, Rachmad Rizky; Santi, Regita Ahda; Sanjaya, Rhasyah Ramadhani
Sewagati Vol 8 No 6 (2024)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v8i6.2325

Abstract

Kegiatan pengabdian masyarakat yang dilakukan di Yayasan Pendidikan Luar Biasa (YPLB) Sekolah Luar Biasa (SLB) Putra Manunggal bertujuan untuk meningkatkan pengelolaan unit usaha yang dikelola oleh lembaga ini. SLB Putra Manunggal menyediakan pendidikan untuk anak-anak berkebutuhan khusus dan telah menjalankan beberapa unit usaha, yaitu Warung/Toko Kelontong, Ecoprint, dan Cuci Mobil. Pengelolaan ketiga unit usaha tersebut masih belum optimal, sehingga memerlukan pendampingan dan pembinaan dari pihak eksternal. Kegiatan ini mencakup identifikasi kondisi eksisting, perancangan strategi bisnis, serta pelatihan dan pendampingan dalam pengelolaan keuangan, termasuk akuntansi dasar dan penyusunan laporan keuangan seperti laporan laba rugi, arus kas, dan neraca. Dengan menggunakan metode analisis SWOT, strategi yang relevan dikembangkan untuk memanfaatkan kekuatan dan peluang serta mengatasi kelemahan dan ancaman. Kegiatan ini diharapkan dapat menciptakan efek berganda (multiplier effect) bagi peserta didik dan masyarakat sekitar, seperti peningkatan kesejahteraan dan penciptaan lapangan kerja, serta mendukung kemandirian lembaga.
Performance Evaluation and Vendor Segmentation System Based on AHP and Kraljic Matrix to Improve Procurement Efficiency at Pt Pln (Persero) Novananda, Chanygia; Partiwi, Sri Gunani
Journal Research of Social Science, Economics, and Management Vol. 4 No. 12 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i12.951

Abstract

This study aims to improve the vendor performance evaluation and segmentation system at PT PLN (Persero) using the Analytical Hierarchy Process (AHP) and Kraljic Matrix approaches. The current vendor performance evaluation system is considered suboptimal in providing holistic, objective, and integrated assessments across business units. Issues such as inconsistent use of subcriteria, subjective assessments, and the absence of vendor segmentation have resulted in inefficiencies in the procurement process. The study was conducted through literature reviews, internal documentation analysis, field observations, and focus group discussions (FGDs) with experts in the PLN environment. The proposed evaluation system consists of four main criteria: managerial, technical, administrative & financial, and safety, with a total of 14 subcriteria. Additionally, this research developed an AHP-based vendor evaluation form and designed vendor segmentation into four categories: routine, leverage, critical/bottleneck, and strategic. Simulations conducted on five PLN work units for one vendor showed improvements in consistency, efficiency, and objectivity of assessment, resulting in holistic evaluation outcomes and uniform segmentation. The system provides a foundation for vendor database integration, strengthens procurement governance, and supports risk and value-based decision-making in the procurement process.
OPERATIONAL RISK ANALYSIS IN OFFSHORE PRODUCTION FACILITY (OPF): APPLICATION OF RISK FAILURE MODE AND EFFECT ANALYSIS Izza, Ayu Adista Nurul; Partiwi, Sri Gunani; Nuswantoko, Duto; Kurniawan, Ahmad Misfa
Jurnal Bisnis dan Keuangan Vol 10 No 2 (2025): Business and Finance Journal
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/bfj.v10i2.7751

Abstract

Declining oil and gas production has created significant operational challenges, particularly unplanned shutdowns that reduce the availability of Offshore Production Facilities (OPF). This study applies the Risk Failure Mode and Effect Analysis (RFMEA) method to prioritize equipment failures causing production losses. Eleven critical risks were identified, with three major ones: PLC module fault, instrument regulator problem, and leak in tubing connection, which were classified as the highest priorities for mitigation.
Analysis of Employee Resignation Probability Using the Random Forest Method: A Case Study at PT Top Remit Matthew Adriel; Sri Gunani Partiwi
Interdisciplinary Social Studies Vol. 5 No. 3 (2026): Interdisciplinary Social Studies
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v5i4.1064

Abstract

High employee turnover can negatively affect organizational stability and productivity, making data-driven predictive strategies essential to identify factors influencing employees’ resignation decisions. This study aims to analyze employee data at PT. Top Remit to predict resignation probability using the Random Forest algorithm, which is known for its strong performance in handling complex and heterogeneous data. Using a machine learning approach, this research processes historical employee data that include demographic factors, job satisfaction, compensation, and performance indicators. The dataset consists of labeled employee records based on their employment status. The Random Forest model was applied to identify patterns contributing to employee turnover and is evaluated using performance metrics such as accuracy, precision, recall, and F1-score. The results indicate that the optimized Random Forest model, after hyperparameter tuning using Grid Search, achieves a test accuracy of 82.5%, with a resignation-class precision of 1.00 and a recall value of 0.6316. Furthermore, feature importance analysis reveals that the most influential factors affecting resignation decisions are annual performance scores, average review scores, compensation satisfaction, job satisfaction, and work engagement. Based on these findings, the predictive model can be utilized as a decision-support tool to design more targeted and data-driven employee retention strategies. This study is expected to contribute to the development of predictive analytics in human resource management, particularly in the application of machine learning methods to support workforce management and sustainability.
Analysis of Leadership Style, Workload, and Work Culture on Company Performance, With Work-Life Harmony as a Moderator. A Case Study of PT PLN UP3 Banyuwangi Nur Rella Catur Trisno Wahyudi; Sri Gunani Partiwi
Eduvest - Journal of Universal Studies Vol. 6 No. 5 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i5.52732

Abstract

Organizations need to adapt proactively in the face of technological disruption and global uncertainty to sustain organizational performance. Human resource management has therefore become a key strategy, not only to achieve performance targets but also to maintain employee well-being and harmony between work and personal life. This study aims to examine the determinants of company performance by analyzing leadership style, workload, and work culture, with work-life harmony as a moderating variable, while also formulating evidence-based recommendations for human resource management policies. The study was conducted at PT PLN (Persero) UP3 Banyuwangi, which is characterized by a multigenerational workforce and high-performance targets. A quantitative approach was applied using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method through SmartPLS software. Data were collected from 84 employees using a digitally distributed Likert-scale questionnaire. The results indicate that leadership style, workload, and work culture do not have a significant direct effect on company performance. In contrast, work-life harmony has a positive and significant effect on performance (β = 0.825; p < 0.001). Furthermore, work-life harmony significantly moderates the relationship between leadership style and company performance (β = 0.233; p = 0.002), as well as the relationship between work culture and performance in a negative direction (β = −0.184; p = 0.021), while it does not significantly moderate the relationship between workload and performance.
Pengembangan Model Evaluasi Pembelajaran Kirkpatrick di PT PLN (Persero) dengan Menggunakan Structural Equation Modeling Rachmad Ariyadi; Sri Gunani Partiwi; Erwin Widodo
Jurnal Pendidikan Siber Nusantara Vol. 4 No. 3 (2026): Jurnal Pendidikan Siber Nusantara (Juli - September 2026)
Publisher : Siber Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jpsn.v4i3.705

Abstract

Abstrak: PT PLN (Persero) telah menggunakan model Kirkpatrick untuk mengevaluasi efektivitas pembelajaran, tetapi hasil tiap level masih cenderung dilaporkan secara terpisah. Kondisi ini membatasi bukti empiris mengenai hubungan kausal antara Reaction, Learning, Behavior, dan Result. Penelitian ini bertujuan menganalisis hubungan kausal antarlevel dalam model evaluasi Kirkpatrick di PT PLN (Persero) dengan Partial Least Squares Structural Equation Modeling. Data berasal dari evaluasi pembelajaran tahun 2025. Dari 775 data peserta, 151 data dinyatakan lengkap, dan 100 data acak digunakan sebagai sampel akhir berdasarkan perhitungan kebutuhan sampel minimum dengan G*Power. Evaluasi Reaction dan Learning diisi oleh peserta, sedangkan Behavior dan Result menggunakan pendekatan multisource yang melibatkan peserta dan atasan. Hasil menunjukkan bahwa Reaction berpengaruh positif dan signifikan terhadap Learning. Learning tidak berpengaruh signifikan terhadap Behavior. Behavior berpengaruh positif dan signifikan terhadap Result. Temuan ini menunjukkan bahwa pengalaman belajar yang positif mendukung hasil belajar, tetapi perubahan perilaku kerja membutuhkan dukungan organisasi, monitoring, peran atasan, dan required drivers. Model ini memberikan dasar evaluasi pembelajaran yang lebih terintegrasi dan berbasis data.
Co-Authors Adithya Sudiarno Akmal, Izzane Muhammad Arief Rahman Arief Rahman Atikah Aghdhi Pratiwi, Atikah Aghdhi Basuki, Satrio Samudro Aji Diyah Ayu Ratnasanti Diyah Ayu Ratnasanti Erwin Widodo Firdaus, Rachmad Rizky Gusti Wira Bayutama I.K. GUNARTA, I.K. Izza, Ayu Adista Nurul Kurniawan, Ahmad Misfa Lukman Handoko Maryani, Anny Matthew Adriel MOHAMMAD HIDAYATULLAH, MOHAMMAD Muhammad Hanif Ramdhani Naning Aranti Wessiani Nindya Agustin Widiastuti Novananda, Chanygia Nur Rella Catur Trisno Wahyudi Nuswantoko, Duto Patdono Suwignjo Rachmad Ariyadi Rahmadi, Doddy Firman Ramdhani, Muhammad Hanif Ratna Purwaningsih Ratna Purwaningsih Retno Widyaningrum, Retno Sanjaya, Rhasyah Ramadhani Santi, Regita Ahda Sholihah, Mar'atus Sjarief Widjaja Tri Martiana Wibowo, Chandra Aryo Wiscahyo, Gelar