OJS UNPATTI Publication Center (Universitas Pattimura)
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PENDAMPINGAN TEKNIS BUDIDAYA BAWANG MERAH PADA MASYARAKAT SUKU NAULU DI NEGERI NUANEA KECAMATAN AMAHAI KABUPATEN MALUKU TENGAH
Get PDFThe Naulu Tribe in Nuanea Village, Central Maluku, in their efforts to develop shallots face obstacles in cultivation. These obstacles include lack of knowledge about proper cultivation techniques, limited access to technology and information, and difficulties in marketing the harvest. This community service program aims to improve the knowledge and skills of the Naulu Tribe in Nuanea Village in shallot cultivation, and is expected to increase community income and welfare. This program is implemented through collaboration between students and lecturers of the Plant Breeding Study Program, Faculty of Agriculture, Pattimura University and the Parakletos Maluku Foundation. This program involves technical training in shallot cultivation and field assistance. Training materials include shallot seed nursery techniques and proper cultivation, pest and disease control, and processing of ready-to-plant seeds. This program can improve the knowledge and skills of the Naulu Tribe in Nuanea Village in shallot cultivation and especially the provision of ready-to-plant seedlings from seeds. This community service program has a significant positive impact on the Naulu Tribe in Nuanea Village. Collaboration between students, lecturers of the Faculty of Agriculture, Plant Breeding Study Program and the Parakletos Maluku Foundation in this program shows the importance of synergy to achieve optimal results in community empowerment. This program can be a model for other community service programs that aim to improve the welfare of people in remote areas
PERAN RUANG TERBUKA HIJAU DALAM MITIGASI PERUBAHAN IKLIM - SOSIALISASI DAN PELATIHAN BAGI AMGPM DI DESA LATUHALAT KOTA AMBON
Get PDFGreen open spaces (RTH) are public areas that play a strategic role in climate change itigation, particularly as CO2 absorbers and O2 producers, microclimate regulators, urban pollution reducers, and creators of thermal comfort for urban communities. However, the lack of knowledge and awareness among the public has led to the neglect of RTH existence. People remain trapped in improper RTH waste management practices, contributing to greenhouse gas emissions that exacerbate global warming. This community service activity is an educational effort aimed at enhancing public knowledge, improving skills, and correcting improper RTH management practices. The activities include socialization on the role of RTH in climate change mitigation, training on RTH waste management, and a collective tree-planting initiative. The series of activities is expected to raise public awareness about the importance of maintaining and protecting RTH as a safeguard in climate change mitigation. Additionally, it aims to foster collective actions within the community to contribute to saving the planet
Aspek Penologis Alasan Peringanan Pidana Bagi Pelaku Tindak Pidana Korupsi
Get PDFIntroduction: Corruption gets more attention than other crimes because of its huge negative impact. In deciding corruption cases, judges always consider various aspects because they have legal and ethical responsibilities. There is no standard reference regarding the reasons for mitigating or increasing sentences, making it difficult to determine the reasons for light or heavy sentences. Therefore, an in-depth study is needed. Several cases show that penological aspects, such as rehabilitation and reintegration of perpetrators, can be a reason to reduce sentences.
Purposes of the Research: This study aims to examine the requirements and role of penological aspects in reducing sentences for corruption perpetrators.
Methods of the Research: The legal research used is a normative legal research type which is descriptive and analytical in nature.
Results of the Research: The results of the study show that the reasons for reducing sentences for corruption perpetrators include the defendant's awareness and regret, frank confession, never having been convicted, restitution of state losses, family responsibilities, and services to the state or society. However, the use of the penological aspect in the Central Jakarta District Court Decision Number: 29/Pid.Sus-TPK/2021/PN Jkt.Pst is considered odd, especially the reason that the defendant has suffered enough from public insults. This phrase is considered to hurt the sense of justice and should not be used, especially in cases of social assistance corruption when the country is experiencing a non-natural disaster
Analisis Kuantitas dan Kualitas Air Bersih Wijk Jambu Manis Negeri Wakal Maluku Tengah
Get PDFPenelitian ini bertujuan untuk menganalisis kuantitas dan kualitas air bersih di Wijk Jambu Manis, Negeri Wakal, Maluku Tengah, dengan fokus pada pemenuhan kebutuhan air bersih masyarakat setempat. Kuantitas air dievaluasi melalui pengukuran debit aliran dan kapasitas sumber daya air yang tersedia, sementara kualitas air dianalisis berdasarkan parameter fisika, kimia, dan mikrobiologi, yang mencakup suhu, jumlah zat padat terlarut (TDS), pH, kandungan logam berat, serta keberadaan bakteri koliform. Hasil penelitian menunjukkan bahwa kuantitas air yang tersedia belum sepenuhnya mencukupi untuk memenuhi kebutuhan dasar masyarakat, terutama akibat keterbatasan kapasitas sumber daya air dan sistem distribusi yang belum optimal. Dari aspek kualitas, sebagian besar parameter air memenuhi standar kesehatan yang ditetapkan dalam Permenkes No. 32 Tahun 2017 dan Permenkes 416/Menkes/Per/IX/1990. Namun, ditemukan kandungan besi yang melebihi ambang batas yang diperbolehkan pada semua sampel air yang diuji. Selain itu, sampel air dari rumah paling dekat dengan sumber menunjukkan tingkat kontaminasi bakteri koliform yang signifikan, melebihi batas maksimum yang diizinkan, sehingga berpotensi menimbulkan risiko kesehatan bagi masyarakat. Temuan ini menegaskan perlunya peningkatan sistem pengelolaan air bersih, baik dalam aspek kuantitas maupun kualitas. Disarankan agar dilakukan optimalisasi kapasitas sumber daya air melalui perbaikan infrastruktur distribusi, penerapan sistem filtrasi dan desinfeksi yang lebih efektif, serta pengawasan berkala terhadap kualitas air untuk memastikan ketersediaan air bersih yang layak bagi masyarakat Wijk Jambu Manis
Analisis Dampak Bencana Longsor di Desa Batu Meja dan Kaitnya dengan Kesadaran Masyarakat dalam Penangan Tanah Longsor
Get PDFBencana tanah longsor merupakan salah satu ancaman alam yang berdampak signifikan terhadap kehidupan manusia, lingkungan, serta aspek sosial dan ekonomi masyarakat. Desa Batu Meja di Kecamatan Sirimau, yang terletak di wilayah rawan longsor dengan topografi berbukit dan curah hujan tinggi, sering kali terdampak bencana tanah longsor yang merusak infrastruktur dan mengganggu aktivitas sosial ekonomi. Penelitian ini bertujuan untuk mengeksplorasi ketahanan sosial masyarakat Desa Batu Meja dalam menghadapi ancaman tanah longsor, dengan fokus pada tingkat kesadaran masyarakat, partisipasi dalam mitigasi, serta solidaritas dalam menghadapi bencana. Pendekatan penelitian yang digunakan adalah metode campuran, dengan pengumpulan data melalui survei kuantitatif, wawancara kualitatif, dan observasi lapangan. Sampel penelitian terdiri dari 40 responden, termasuk warga, tokoh masyarakat, dan petugas penanggulangan bencana. Hasil penelitian menunjukkan bahwa meskipun masyarakat menunjukkan solidaritas sosial yang kuat dalam upaya gotong royong dan pembangunan infrastruktur penahan longsor, masih terdapat kekurangan dalam kesiapsiagaan sosial dan koordinasi dengan pihak eksternal. Penelitian ini merekomendasikan peningkatan program edukasi berbasis komunitas, perluasan pelatihan kesiapsiagaan bencana, serta penguatan sistem peringatan dini untuk meningkatkan ketahanan sosial masyarakat. Temuan penelitian ini diharapkan dapat memberikan kontribusi dalam merancang strategi mitigasi yang lebih komprehensif, yang melibatkan kolaborasi antara masyarakat, pemerintah, dan lembaga terkait untuk menghadapi potensi bencana tanah longsor di masa depan
Perbandingan Model Pembelajaran Jigsaw dan Numbered Heads Together terhadap Hasil Belajar Peserta Didik Kelas X dalam Mata Pelajaran Geografi pada SMA Negeri 1 Ambon
Get PDFPemerintah memiliki peranan penting dalam menyediakan sarana dan prasarana pendidikan, sebagai persiapan untuk kehidupan yang lebih baik di masa depan dan mendukung semua kebutuhan anak. Keberhasilan dalam pendidikan sangat dipengaruhi oleh efektivitas kegiatan belajar mengajar. Proses mengajar bertujuan untuk membantu peserta didik mencapai tujuan belajar yang ditetapkan dengan menggunakan berbagai metode yang bervariasi, demi meningkatkan mutu dan kualitas pembelajaran yang berorientasi pada kompetensi. Tingkat keberhasilan belajar seorang peserta didik dapat diukur melalui tes, baik tes sumatif maupun formatif. Penting bagi pendidik untuk memperhatikan peserta didik tidak hanya di dalam kelas saat proses tatap muka, tetapi juga di luar kelas. Oleh karena itu, pendidik perlu memilih model yang tepat untuk peserta didik di masa kini, hal ini terlihat di SMA Negeri 1 Ambon. Metode yang digunakan digunakan dalam penelitian ini adalah tipe penelitian kuantitatif dengan menggunakan model Jigsaw Kelas Eksperimen) dan kelompok yang diajarkan dengan menggunakan model Numbered Heads Together (Kelas Kontrol) Dari hasil perhitungan di peroleh lebih kecil dari Ft (1,87) < F hitung (0,8571). Dengan demikian maka Hipotesis Nol (Ho) diterima dan sebagai konsekuensinya hipotesis alternatif (H1 ) ditolak hasil belajar terakhir (0,2223) > t-tabel (1,701), dengan menggunakan derajat kebebasan (df 28 α 0,05) jauh lebih kecil dari nilai t-tabel (1,701). Maka Ho yang mengatakan tidak ada pengaruh antara Jigsaw dan Numbered Head Together diterima
ENSEMBLE BAGGING WITH ORDINAL LOGISTIC REGRESSION TO CLASSIFY TODDLER NUTRITIONAL STATUS
Get PDFOne problem in classifying stunting data is that the data used does not have a balanced proportion. This study aims to apply the logistic regression classification method with ordinal scale response variables to overcome class imbalance through the ensemble bagging approach. The data used is secondary data in the form of final research reports that have been tested for validity and reliability. The predictor variables used are economic conditions, health services and the environment with categorical response variables, namely the nutritional status of toddlers in the categories of stunting, normal and high. The methods used are ordinal logistic regression and ensemble bagging on ordinal logistic regression with bootstraps of 100, 500, and 1000. The variables that influence the nutritional status of toddlers are Economic Conditions, Health Services, and the Environment. The results of the study showed that the accuracy, sensitivity, specificity, and F1-Score for ordinal logistic regression were smaller than ensemble bagging in ordinal logistic regression. The best classification method obtained was bagging logistic regression with a bootstrap number of 500 and obtained an accuracy value of 85%, sensitivity of 87.2%, specificity of 72.6%, and F1-Score of 79.3%
PARAMETER ESTIMATION OF LOGNORMAL AND PARETO TYPE I DISTRIBUTIONS USING FREQUENTIST AND BAYESIAN INFERENCES
Get PDFExtreme events are events that rarely occur but they cause substantial losses. Insurance companies need to take extreme events into account in risk management because extreme events can have a negative impact on the company's financial health. As a result, insurance companies need an appropriate loss model that matches the empirical data from these extreme events. A distribution that is heavy-tailed and skewed to the right is a good distribution for modeling the magnitude of losses from extreme events. In this paper, two distributions with heavy tails and skew to the right will be used to model the magnitude of losses from extreme events, namely the lognormal distribution and the Pareto distribution type I. The parameters of these distributions are estimated using two inferences, namely the frequentist and Bayesian inferences. In the frequentist inference, two methods are applied, namely the moment method and maximum likelihood. On Bayesian inference, two prior distributions are used, namely uniform and Jeffrey. Test model suitability is carried out by visually comparing the model distribution function with the empirical distribution function, as well as by comparing the Root Mean Square Error (RMSE) value. The visualization results of the distribution function and RMSE values show that in general, the Bayesian inference is better at estimating parameters than the frequentist inference. In the frequentist inference, the maximum likelihood method can provide better estimated values than the moment method. In the Bayesian inference, the two prior distributions show a relatively similar fit to the data and tend to be better than the frequentist inference
ANALYSING MARKET DYNAMICS: REVEALING OBSCURED PATTERNS IN LQ45 STOCKS (2021-2023) USING WARD’S HIERARCHICAL CLUSTERING
Get PDFThis study aimed to address the instability of the Indonesian stock market from 2021 to 2023 by analyzing the LQ45 index, a critical indicator of economic robustness and corporate performance. Hierarchical Ward clustering was employed to categorize LQ45 stocks based on fundamental metrics such as Return, Volume, Price, Price-Earnings Ratio (PER), Earnings Per Share (EPS), and Dividends. Data preprocessing involved feature creation, Max-Abs scaling for normalization, and binary encoding of categorical variables. The optimal number of clusters was identified using dendrograms, revealing two primary clusters: one focusing on core materials and the other on financial services, alongside other industry-specific clusters. This method, characterized by its ability to minimize variance within clusters and determine natural groupings without predefined assumptions, provided valuable insights for financial advisors, policymakers, and investors. The findings offer practical guidance for optimizing decision-making, minimizing risks, and leveraging opportunities within the Indonesian stock market during a period of significant economic uncertainty. By employing this strategy, investors and traders can gain a comprehensive understanding of the current condition of the stock market, offering a thorough comprehension of the connections between equities and the operational and financial issues currently under scrutiny
BINARY OPTION PRICING USING LATTICE METHOD
Get PDFOne way to minimize risks due to uncertainty in stock price movements is by using derivative products, one of which is an option. Binary options, a type of exotic option, provide a fixed payout if certain conditions are met at maturity, but are difficult to solve analytically. In this study, we utilize binomial and trinomial lattice methods, specifically the Cox-Ross-Rubinstein Binomial, Hull-White Trinomial, and Kamrad-Ritchken Trinomial models, to determine the price of binary options. Results indicate that all three methods converge towards the exact solution, demonstrating their applicability for pricing binary options, with the Kamrad-Ritchken Trinomial method showing superior accuracy due to the lowest mean relative error. Additionally, we analyze factors influencing binary option prices, including initial price, strike price, maturity time, volatility, and risk-free interest rate. The study’s originality lies in the comparative analysis of these methods under the same market conditions. However, limitations include model assumptions and potential data variability that may affect generalizability. Future research could extend these methods to various stock data or other financial instruments to test robustness. This research provides insights into optimal lattice method selection for practitioners in binary option pricing