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All Journal TEKNOLOGIA Indonesian Journal of Multidisciplinary Science Return : Study of Management, Economic and Bussines
Suhari Pranyoto
Universitas Pertamina
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences

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PENGARUH EARNING PER SHARE (EPS), PRICE EARNING RATIO (PER) DAN PRICE BOOK VALUE (PBV) TERHADAP HARGA SAHAM EMITEN PERBANKAN INDEKS LQ45 DI BURSA EFEK INDONESIA TAHUN 2013- 2017 Elan Nurhadi Purwanto; Suhari Pranyoto
JURNAL TEKNOLOGIA Vol 2 No 1 (2019): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7445.317 KB)

Abstract

The purpose of this study examines the effect of Price Earning Ratio (PER), Price to Book Value Ratio (PBV) and Earning Per Share (EPS) on Stock Prices in banking companies listed on the Indonesia Stock Exchange, LQ45 index, in 2013-2017. This study is based on annual reports taken from the Indonesian Capital Market directory and other sources of support. The research sample was taken by purposive sampling technique with result in 5 banking issuers with 25 observation data and 5 cross section data. Data were analyzed by multiple regression techniques with the Ordinary Least Squared (OLS) approach. This study uses a panel data method with a fixed effect model by reviewing version 10. as a statistical tool. This study shows that PER, EPS and PBV have a positive and significant effect on stock prices simultaneously. Partially, PER has a positive and significant effect but PBV and EPS have a positive but not significant effect. The influence of PER significantly indicates that profitability is a priority consideration of investors rather than other factors.
Design of a Strategic Decision-Making Framework Based on Multi-Criteria Decision Analysis (MCDA) to Address Geopolitical Risks in Oil and Gas Shipping Operations at PT XYZ Ivan Rezka Winata; Suhari Pranyoto; Nanda R. Nurdianto
Indonesian Journal of Multidisciplinary Science Vol. 5 No. 11 (2026): Indonesian Journal of Multidisciplinary Science (Issue in Progres)
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v5i11.1317

Abstract

Oil and gas shipping operations are increasingly exposed to geopolitical risks because they depend on strategic maritime chokepoints and operate across jurisdictions affected by conflicts, sanctions, security threats, and regulatory changes. This study aimed to develop a strategic decision-making framework based on Multi-Criteria Decision Analysis (MCDA) to translate geopolitical risks into measurable operational decisions for PT XYZ. The research employed a qualitative explanatory case study supported by descriptive quantitative analysis. Data were collected through semi-structured interviews, internal document analysis, and public secondary sources and were validated through source and method triangulation. Security Risk Assessment was conducted using threat, vulnerability, consequence, likelihood, and impact parameters, followed by scenario analysis, safety and legal compliance screening, direct weighting, and MCDA-based alternative ranking. The results showed that crew safety and ship and cargo safety were the highest-priority criteria. The Continue as Planned option failed to meet the safety threshold, whereas the Re-Routing and Delay/Hold Position options achieved the highest scores of 4.20 and 4.16, respectively. Sensitivity testing indicated that these rankings could shift depending on management priorities. The study concluded that integrating security risk assessment, scenario analysis, and MCDA supported more structured, transparent, and accountable strategic decision-making under geopolitical uncertainty while strengthening organizational preparedness, resilience, and continuity of energy supply.
Development of a Scoring Method as Predictive Analytics for the Risk of Sudden Death in the Workplace Using Employees’ Fit-to-Work Status, Workload, and Extreme Work Environments: A Case Study of PT XYZ Christiandi Agus Fagihari Ardianto; Suhari Pranyoto; Nanda R Nurdianto
Indonesian Journal of Multidisciplinary Science Vol. 5 No. 11 (2026): Indonesian Journal of Multidisciplinary Science (Issue in Progres)
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v5i11.1318

Abstract

Sudden death due to illness in the workplace remains a critical occupational health challenge, particularly in high-risk industries where workers are exposed to complex operational conditions. The increasing occurrence of illness-related fatality incidents highlights the need for predictive approaches that integrate occupational health and operational risk management. This study aimed to develop a predictive analytics model for assessing sudden death risk among workers at PT XYZ by examining the effects of Fit-to-Work (FTW) status, workload, and extreme work environments, as well as developing an early warning scoring system. The study employed a quantitative approach using a case-control design based on secondary data from Medical Check-Up (MCU) records and workplace sudden death investigation reports. A total of 581 worker records were analyzed, consisting of 65 illness-related fatality cases and 516 control samples, using chi-square analysis and binary logistic regression. The results showed that shift work significantly increased sudden death risk (adjusted odds ratio [AOR] = 18.06; p < 0.001), while outdoor work environments also contributed significantly (AOR = 2.60; p = 0.004). FTW status showed a protective tendency but was not statistically significant. The developed Illness Fatality Risk Score (SRIF) demonstrated good predictive performance, with an area under the curve (AUC) value of 0.840. In conclusion, workload characteristics and environmental exposure were important predictors of workplace sudden death risk, and SRIF could serve as a practical early warning tool to support proactive occupational health risk management.
Risk-Adjusted Multicriteria Decision Analysis (MCDA) Based on Financial and Non-Financial Factor Integration Model in Prioritizing Decarbonization Projects at National Energy Company Rafi Herfini; Suhari Pranyoto; Eka Puspitawati
Return : Study of Management, Economic and Bussines Vol. 5 No. 8 (2026): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v5i8.494

Abstract

PT Pertamina (Persero)’s commitment to supporting Indonesia’s Net Zero Emissions 2060 target highlights the need to prioritize decarbonization projects based not only on financial feasibility but also on financial risks and non-financial factors. This study aimed to develop a Risk-Adjusted Multicriteria Decision Analysis (MCDA) model that integrates these three dimensions. The study employed a qualitative approach supported by descriptive quantitative analysis using data from PT Pertamina (Persero)’s decarbonization initiatives. Financial performance was assessed using Marginal Abatement Cost (MAC), Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PP), while financial risk and non-financial criteria were identified through a Focus Group Discussion (FGD) involving 23 experts with more than 10 years of experience in decarbonization, energy transition, energy investment, and risk management. Of the 174 decarbonization initiatives identified, 46 strategies had complete data and were eligible for assessment across all financial, financial-risk, and non-financial indicators. The results showed that integrating all criteria changed the project priority rankings compared with assessments based solely on financial performance. The Renewable Energy Investment for Marine and Terminal Operations strategy ranked first, with a weighted composite score of 4.87, followed by Installation of ESD (fin, duct, etc.) with a score of 4.68 and Shore Connection (Cold Ironing) for Auxiliary Engine Replacement Using Grid/Generated Electricity with a score of 4.59. The proposed model generated a more comprehensive prioritization framework and may serve as a decision-support tool for decarbonization investment planning.
Analysis and Modeling of the Root Causes and Risk Mitigation Strategies for Default Risk in the Pertashop Project at PT Indonesia Sejahtera Hanna Verawaty Silalahi; Suhari Pranyoto; Nanda R. Nurdianto
Return : Study of Management, Economic and Bussines Vol. 5 No. 8 (2026): Return: Study of Management, Economic and Business
Publisher : PT. Publikasiku Academic Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57096/return.v5i8.495

Abstract

Payment default risk represents a significant financial threat that may jeopardize business continuity, as experienced by PT Indonesia Sejahtera during the implementation of the Pertashop procurement project, in which PT Pindad Internasional Logistic had not fully fulfilled its payment obligations. This study aimed to identify the root causes of payment default risk, analyze the interrelationships among contributing factors, and formulate appropriate mitigation strategies based on the Enterprise Risk Management framework of ISO 31000. A qualitative approach with a case study design was employed at PT Indonesia Sejahtera. Primary data were collected through in-depth interviews with six informants comprising leaders and staff from relevant functions, supported by field observations and document analysis. Data were analyzed through data reduction, data display, and conclusion drawing, complemented by the Analytical Hierarchy Process (AHP) to determine the priority weights of risk factors. The results identified eight causal factors contributing to payment default, with three dominant factors: weak project supervision and monitoring, the absence of payment protection mechanisms such as bank guarantees or Surat Kredit Berdokumen Dalam Negeri (SKBDN), and the absence of an Early Warning System (EWS). Based on these findings, the study proposed an EWS model integrating Key Risk Indicators (KRI), trigger levels, continuous monitoring, and an escalation matrix as a closed-loop risk management system. This model enabled early detection of potential payment issues and supported proactive mitigation and decision-making. The study concluded that payment default risk was not solely attributable to the customer's financial capacity but also resulted from weaknesses in project governance, contractual control, and organizational risk management systems. Therefore, comprehensive, integrated, and preventive risk management was required to strengthen financial resilience and ensure business continuity.
Co-Authors Christiandi Agus Fagihari Ardianto Eka Puspitawati Elan Nurhadi Purwanto Hanna Verawaty Silalahi Ivan Rezka Winata Nanda R Nurdianto Nanda R. Nurdianto Rafi Herfini