OJS UNPATTI Publication Center (Universitas Pattimura)
Not a member yet
8549 research outputs found
Sort by
Transparansi Pemerintah Dalam Realisasi Anggran Belanja Barang dan Jasa
Get PDFTransparency in governance is one of the main principles in realizing good governance. Through transparency, the public is able to understand and monitor the budget management process so that it is carried out openly, efficiently, and accountably. In this regard, the Ambon City Government bears a significant responsibility to implement this principle, particularly in the realization of the goods and services expenditure budget. This study aims to examine the forms of transparency implemented by the Ambon City Government in carrying out the goods and services budget, as well as the legal consequences that may arise when the principle of transparency is not upheld. The research employs a normative juridical method with statutory and conceptual approaches. Data were obtained from laws and regulations, legal literature, and other supporting documents. The results of the study indicate that transparency within the Ambon City Government is manifested through the implementation of electronic systems such as SIRUP (General Procurement Planning Information System), LPSE (Electronic Procurement Service), and the E-Catalogue, which serve as forms of public information disclosure in accordance with Law Number 14 of 2008 on Public Information Disclosure. Through these systems, the public can access information related to the planning, implementation, and reporting of goods and services procurement in an open manner. However, in practice, several obstacles remain, including low accountability and indications of budget misuse as found by the Audit Board of Indonesia (BPK) for the years 2021–2023. A lack of transparency may result in administrative, civil, and criminal legal consequences, such as contract cancellation, sanctions against authorized officials, and liability for state financial losses. Therefore, the implementation of transparency principles is a crucial factor in realizing a clean, accountable, and publicly trusted government
Maladministrasi Dalam Bidang Pendidikan di Indonesia
Get PDFThe legal issue in this study is the finding of intolerance against students in the school environment, namely the polemic of non-Muslim students at SMK Negeri 2 Padang, West Sumatra who are required to wear hijab. Therefore, it is interesting to examine whether intolerance can be categorized as a form of maladministration so that administrative sanctions can be applied to the action itself. The purpose of this study is to find out and analyze acts of intolerance against female students that can be categorized as maladministration and administrative sanctions that can be applied to acts of intolerance for female students in the school environment. The research method used in this writing is a normative juridical research method with a legislative approach and a conceptual approach. The results of this study can be concluded that Intolerance Actions for female students in the school environment can be categorized as a form of maladministration in the education sector. This is based on Article 1 point 3 of Law Number 37/2008 and Article 11 of Ombudsman Regulation Number 26/2017 which defines maladministration as a form of behavior or unlawful act, one of which is discrimination, on the grounds that it does not provide freedom for students to behave and express their opinions through the way of wearing a uniform in accordance with the religion adhered to and this action is a violation of government administration and public services. Administrative sanctions that can be applied to acts of intolerance for students in the school environment are that they can be subject to disciplinary sanctions based on the rule of law
Pelatihan Penulisan Karya Ilmiah bagi Guru Bahasa Indonesia di Sekolah Menengah di Kota Ambon
Get PDFThis community service activity was motivated by the limited ability of Indonesian language teachers in secondary schools in Ambon City to produce publishable scientific works. The aim of this program is to strengthen teachers’ academic literacy through structured, contextual, and sustainable training and mentoring in scientific writing. The method employed was Participatory Action Training (PAT), engaging teachers actively in needs analysis, intensive workshops, and post-training mentoring. The results indicated a significant improvement in teachers’ academic writing skills, digital reference management, and the establishment of an interschool teacher writing community. A total of 35 teachers completed their manuscripts, and 12 were recommended for publication in national journals. This activity successfully fostered a culture of academic writing and collaboration between schools and universities in island regions. The implication highlights that sustained mentoring and contextual approaches are effective strategies to enhance teacher professionalism and build a sustainable academic literacy ecosystem in areas with limited access to educational resources
Deteksi Tahap Perkembangan Putik Sawit Menggunakan YOLO8n
Get PDFOil palm productivity is strongly influenced by the success of the pollination process, particularly in female flowers at the anthesis stage, when they are receptive to fertilization. Identification of this stage is generally performed manually, which is inefficient and prone to detection errors in the field. This study proposes an automatic detection system for oil palm female flowers at the receptive stage using the YOLOv8n model, a lightweight variant of the YOLOv8 family that is well suited for CPU-based computation. The dataset consists of three main classes: female flowers, live male flowers, and dead male flowers. The data are divided into training (82%), validation (12%), and testing (6%) sets. Model training is conducted for 80 epochs with an input resolution of 640×640. Evaluation results show that the model achieves an mAP50 of 0.86, a precision of 0.89, and a recall of 0.85. These results indicate that YOLOv8n is capable of accurately detecting receptive female oil palm flowers even under limited computational resources. This system has the potential to serve as a foundation for the development of computer vision–based technologies for monitoring oil palm phenology and pollination
BIVARIATE POISSON LOG-NORMAL REGRESSION MODELING ON THE NUMBER OF LEPROSY CASES IN INDONESIA
Get PDFBivariate Poisson regression is a method for modeling two correlated count response variables. However, standard Poisson models often assume equidispersion, which is frequently violated in real-world data due to overdispersion. To address this issue, the Bivariate Poisson Log-Normal Regression (BPLNR) model is employed, which incorporates random effects to account for variability beyond that captured by the Poisson distribution. This study applies the BPLNR model to analyze the number of leprosy cases in Indonesia in 2021, categorized by the World Health Organization (WHO) into Paucibacillary (PB) and Multibacillary (MB). These two types are known to be correlated and exhibit overdispersion, rendering standard Bivariate Poisson models inadequate. This research contributes by applying BPLNR to leprosy data in Indonesia—an area that has been underexplored in prior studies, which largely employed univariate or standard Poisson approaches and ignored the correlation and overdispersion structure. Data were obtained from the 2021 Indonesian Health Profile and the Central Statistics Agency. Parameter estimation was conducted using Maximum Likelihood Estimation (MLE) with the Newton-Raphson algorithm, and hypothesis testing was performed using the Maximum Likelihood Ratio Test (MLRT). The results confirm that BPLNR effectively models the joint distribution of PB and MB cases while accounting for overdispersion. Key factors influencing both types of leprosy include population density, poverty rate, access to proper sanitation and drinking water, and availability of medical personnel and health facilities. A limitation of this study is the use of aggregate provincial-level data, which may obscure local variation and spatial effects. Future research could integrate spatial modeling techniques or individual-level data to enhance inference
ENHANCING VOLATILITY MODELING WITH LOG-LINEAR REALIZED GARCH-CJ: EVIDENCE FROM THE TOKYO STOCK PRICE INDEX
Get PDFThis study compares the Log-linear Realized GARCH (LRG) and its extension with Continuous and Jump components (LRG-CJ) in modeling the volatility of financial assets, using daily data from the Tokyo Stock Price Index (TOPIX) over 2004–2011. The urgency arises from the need for more accurate volatility models during turbulent periods such as the 2008 Global Financial Crisis and the 2011 Great East Japan Earthquake, where markets exhibit both smooth fluctuations and abrupt jumps. Methodologically, the LRG-CJ framework introduces a novel integration of continuous and jump decomposition into the LRG structure, offering an applied innovation to high-frequency volatility modeling. Realized Volatility (RV) was calculated from 1-, 5-, and 10-minute intraday data and decomposed into continuous and jump components. Parameter estimation employed the Adaptive Random Walk Metropolis (ARWM) within a Markov Chain Monte Carlo algorithm, while model performance was assessed using multiple information criteria and out-of-sample forecast evaluations. The empirical results reveal that incorporating continuous and jump components improves volatility modeling accuracy, forecasting, and Value-at-Risk estimation. However, these benefits are frequency-dependent: the LRG-CJ model shows superior in-sample fit for 1-minute RV but provides the strongest out-of-sample forecasting and risk prediction at lower frequencies (5- and 10-minute intervals). This highlights that while jumps are best identified at ultra-high frequencies, their predictive value is most effectively captured in slightly aggregated data. The originality of this study lies in being the first empirical application of LRG-CJ, demonstrating how continuous–jump decomposition interacts with the dual-equation structure of LRG, which has not been examined in TGARCH or APARCH contexts. Limitations include sensitivity to microstructure noise in very high-frequency data and computational challenges in parameter convergence. Overall, the findings underscore the novelty and practical importance of the LRG-CJ framework for risk management, offering actionable guidance for aligning volatility models with data frequenc
NUMERICAL SOLUTIONS OF HERMITE DIFFERENTIAL EQUATIONS USING LEGENDRE MULTIWAVELETS
Get PDFThis paper presents a numerical method for solving Hermite differential equations (HDEs) using operational integration matrices derived from Legendre multiwavelets of linear, quadratic, and cubic orders. The proposed technique transforms HDEs into algebraic systems, enabling efficient and accurate numerical solutions. Through several illustrative examples, the method’s effectiveness is demonstrated, with Cubic Legendre Multiwavelets (CLMW) exhibiting superior accuracy in approximating exact solutions
INTEGRATING HOUSING ENVIRONMENTAL FACTORS INTO THE SEIR MODEL FOR PULMONARY TUBERCULOSIS TRANSMISSION: A CASE STUDY IN BANJAR, INDONESIA
Get PDFPulmonary Tuberculosis (TB) remains one of the serious public health issues in Indonesia, including in Banjar Regency. The transmission of TB is not only influenced by biological and behavioral factors but also highly depends on the characteristics of the living environment. This study aims to analyze the influence of physical environmental factors of housing on the incidence of pulmonary TB, and to integrate the analysis results into a modified SEIR model. The research was conducted using a cross-sectional observational approach involving 73 respondents from the working areas of Puskesmas Martapura 1 and Martapura 2. Data were collected through direct observation and interviews, and analyzed using binary logistic regression to identify significant variables. The significant variables were subsequently integrated into the transmission rate parameters in the SEIR model. The results show that ventilation area and room temperature have a significant impact on the incidence of pulmonary TB. Empirical findings show that the probability of pulmonary TB incidence is highest (86.68%) when both ventilation and temperature are below standard, and lowest (26.23%) when both meet the standards. Partial compliance still results in a high probability of incidence (around 60%). The SEIR model simulation with environmental scenarios shows that living conditions that do not meet ventilation area and temperature standards result in more aggressive TB transmission. Conversely, living conditions that meet both standards significantly reduce the number of infected individuals and increase the recovery rate. This research emphasizes the importance of environment-based interventions in a comprehensive TB control strategy
APPLICATION OF COOPERATIVE GAME THEORY: SOLVING THE PROBLEM OF TRAVELING BETWEEN FIVE CITIES IN JAVA
Get PDFIntercity travel between Surabaya, Madiun, Surakarta, Semarang, Cirebon, and Jakarta is increasingly facilitated by integrated infrastructure such as toll roads, railways, and airports. Among travelers, forming informal coalitions with others heading in the same direction has become a practical way to reduce individual travel expenses. This study aims to analyze the cost-efficiency of coalition-based intercity travel compared to solo travel, utilizing cooperative game theory to determine fair contribution values among travelers. This study aims to analyze the cost-efficiency of coalition-based intercity travel compared to solo travel, utilizing cooperative game theory to determine fair contribution values among travelers. A case study was conducted in an urban setting involving individuals who travel intercity using various transportation modes. Data were collected through semi-structured interviews. The study applied the Shapley value method within cooperative game theory to model and evaluate each participant’s contribution in a travel coalition. An algorithm was developed to calculate Shapley values for different coalition scenarios. Initial expenditures were: Player A (IDR 210,000), B (IDR 240,000), C (IDR 60,000), D (IDR 400,000), and E (IDR 165,000). First calculation (5-player coalition): A spent IDR 122,750, B IDR 147,750, C IDR 77,750, D IDR -52,250, and E IDR 104,000. Player C opted out, as joining the coalition would cost more than traveling individually (IDR 60,000). Second calculation (4-player coalition): A spent IDR 113,750, B IDR 133,750, D IDR 53,750, and E IDR 98,750. The study’s findings are based on a small sample with specific subject criteria and cannot be generalized to broader intercity travel scenarios. This research demonstrates the practical application of game theory—specifically the Shapley value—in modeling travel coalitions and optimizing cost distribution, offering insights for policy makers and transport planners in collaborative travel schemes
Pengaruh Substitusi Tepung Pisang Tongka Langit Pregelatinisasi Terhadap Sifat Fisikokimia Cookies
Get PDFThis study aimed to analyze the functional properties of pregelatinized tongka langit banana flour (TPTLP) at different maturity levels and to determine the effect of substituting TPTLP on the physicochemical properties of cookies at the optimal maturity level. This study was designed using a completely randomized design consisting of one factor, with substitution treatments of wheat flour (TT) and TPTLP, consisting of 0%: 100%, 25%: 75%, 50%: 50%, 75%: 25%, and 100%: 0% with two replications. The parameters analyzed included the water absorption capacity, vitamin A content, and antioxidant activity of TPTLP, as well as the moisture content, ash content, protein content, fat content, crude fiber, carbohydrates, breaking strength, and crispness of the cookies. The results showed that tongka langit bananas at maturity level II exhibited better functional properties than those at level I. Furthermore, substitution with TPTLP (100%, 75%, 50%, 25%, and 0%) from maturity level II significantly affected the physicochemical properties of cookies. Increasing levels of TPTLP substitution led to higher moisture, ash, and crude fiber contents, while protein content, breaking strength, and crispness decreased